WO2021260914A1 - Feed management device, feed management method, feed management system, and computer-readable recording medium - Google Patents

Feed management device, feed management method, feed management system, and computer-readable recording medium Download PDF

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Publication number
WO2021260914A1
WO2021260914A1 PCT/JP2020/025192 JP2020025192W WO2021260914A1 WO 2021260914 A1 WO2021260914 A1 WO 2021260914A1 JP 2020025192 W JP2020025192 W JP 2020025192W WO 2021260914 A1 WO2021260914 A1 WO 2021260914A1
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WIPO (PCT)
Prior art keywords
feed
weight
container
delivery route
delivery
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PCT/JP2020/025192
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French (fr)
Japanese (ja)
Inventor
亜子 原
庸 永田
Original Assignee
日本電気株式会社
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Priority to JP2022532203A priority Critical patent/JPWO2021260914A5/en
Priority to PCT/JP2020/025192 priority patent/WO2021260914A1/en
Publication of WO2021260914A1 publication Critical patent/WO2021260914A1/en

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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K5/00Feeding devices for stock or game ; Feeding wagons; Feeding stacks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Definitions

  • This disclosure relates to technology for managing feed.
  • a livestock farmer checks the feed tank that stores the feed, orders the feed from the feed company according to the remaining amount of feed, and the feed company places the order. Arrange for feed production and feed delivery accordingly. Then, the distribution company delivers the feed to the livestock farmer. In such a feed supply situation, there is a technique for managing the remaining amount of feed.
  • Patent Document 1 a sensor provided with a light emitting element is used to irradiate the feed tank with light through a slit provided in the feed tank, and based on information on the reflected intensity of the reflected light of the irradiated light.
  • a technique for determining the remaining amount of feed in a feed tank is disclosed.
  • Patent Document 2 discloses a technique of detecting a strain generated by mounting a feed tank using a sensor and measuring the remaining amount of feed in the feed tank based on the detected strain. ing.
  • the present disclosure has been made in view of the above problems, and one of the purposes of the present disclosure is to provide a feed management device or the like that can reduce the cost of feeding feed.
  • the feed management device determines the weight of the feed based on sensor data regarding strain detected by a sensor attached to the surface of a container for storing the feed or the surface of a support member supporting the container. It is provided with a weight calculation means for calculating and a display control means for displaying the calculated weight of the feed on a display device.
  • the feed management method determines the weight of the feed based on sensor data regarding strain detected by a sensor attached to the surface of a container for storing the feed or the surface of a support member supporting the container. Calculated and display the calculated weight of the feed on the display device.
  • the computer-readable storage medium is based on sensor data for strain detected by a sensor mounted on the surface of a container for storing feed or the surface of a support member supporting the container.
  • a program for causing a computer to execute a process of calculating the weight of the feed and a process of displaying the calculated weight of the feed on the display device is stored.
  • the cost of supplying feed can be reduced.
  • FIG. 1 is a diagram schematically showing an example of the configuration of the feed management system 1000 of the first embodiment.
  • the feed management system 1000 includes a feed management device 100, a strain sensor 200, and a measuring instrument 300.
  • the feed management device 100 is connected to the measuring instrument 300 so as to be able to communicate with each other by wire or wirelessly.
  • the feed management device 100 is also connected to the information processing terminal 400 and the storage device 500 so as to be able to communicate with each other by wire or wirelessly.
  • the storage device 500 may be constructed inside the feed management device 100.
  • the strain sensor 200 is attached to the surface of the feed tank or the surface of the support member that supports the feed tank.
  • the feed tank indicates a container for storing feed.
  • the feed tank has an input port where the feed is input and an discharge port where the feed is discharged.
  • the feed tank is installed, for example, on a farm owned by a livestock farmer.
  • the support member is, for example, a strut, and the feed tank is supported by a plurality of strut.
  • the strain sensor 200 detects the strain of the feed tank or the support member. Information indicating the detected strain is transmitted to the feed management device 100 via the measuring instrument 300.
  • the feed management device 100 calculates the weight of the feed stored in the feed tank based on the information indicating the strain.
  • the feed management device 100 uses the calculated weight of the feed as the remaining amount of the feed stored in the feed tank, and manages the feed.
  • the feed management system 1000 manages the feed stored in the feed tank by calculating the weight of the feed based on the information obtained from the strain sensor attached to the surface of the feed tank or the support member. It is a system to do.
  • the process which manages a feed performed by a feed management apparatus 100 is also referred to as "feed management process".
  • the feed management device 100 may be constructed in an on-premises environment or a cloud environment.
  • FIG. 2 is a block diagram showing an example of the configuration of the feed management system 1000 of the first embodiment.
  • the strain sensor 200 is a sensor that detects strain of a member. When an external force is applied to the member, the member expands and contracts. The strain of the member indicates, for example, the amount of deformation of the member when the member expands or contracts. Here, when the metal expands and contracts, the electrical resistance of the metal changes. When the strain sensor 200 is attached to the member, the strain sensor 200 detects the strain of the member by utilizing the change in the electric resistance of the metal of the strain sensor 200, which expands and contracts according to the expansion and contraction of the member. Such a strain sensor 200 is also called a strain gauge.
  • the strain sensor 200 is attached to the surface of the feed tank or the support member where strain occurs due to the load of the feed by an adhesive or the like.
  • the location where the strain is generated due to the load of the feed is, for example, the outer surface of the feed tank near the discharge port, the surface of the support member (for example, a support) in contact with the feed tank, or the like.
  • the strain sensor 200 is attached to the surface of the support member of the feed tank, but if the surface is the surface where the strain is generated due to the load of the feed, the location where the strain sensor 200 is attached is this example. Not limited to. Further, the strain sensor 200 may be attached to the surface of a feed tank and a support member where the magnitude of strain caused by the load of the feed is larger than that of other portions. For example, the magnitude of strain may be examined in advance on the surface of the feed tank near the discharge port and the surface of the support member in contact with the feed tank, and the strain sensor 200 may be attached to the one having the larger strain. As a result, changes in distortion can be detected with high accuracy. Further, a plurality of strain sensors 200 may be attached.
  • the change in strain can be detected more accurately.
  • the strain sensor 200 by attaching a plurality of strain sensors 200 to one feed tank, it is possible to detect a change in strain even when one of the plurality of strain sensors 200 fails, for example. Then, the strain sensor 200 sends the detected value to the measuring instrument 300. In this way, the strain sensor 200 is attached to the surface of the container or the surface of the support member, and detects the strain of the container or the support member caused by the load of the feed.
  • the measuring instrument 300 includes a communication unit 310 and a strain value calculation unit 320.
  • the communication unit 310 communicates with the strain sensor 200 and the feed management device 100.
  • the measuring instrument 300 acquires the value detected by the strain sensor 200 (hereinafter, also referred to as sensor data) via the communication unit 310.
  • the sensor data is, for example, the value of electrical resistance according to the strain.
  • the strain value calculation unit 320 calculates a strain value indicating the strain value generated in the member based on the sensor data related to such strain. The relationship between the sensor data and the strain value is determined, for example, from the material, shape, weight, etc. of the feed tank and the support member.
  • the strain value calculation unit 320 transmits the measurement data including the calculated strain value to the feed management device 100 via the communication unit 310.
  • the measurement data may include identification information for identifying the feed tank and detection date and time information indicating the date and time when the strain sensor 200 detects the strain.
  • the date and time when the strain sensor 200 detects the strain is also referred to as a detection date and time.
  • the function of the communication unit 310 may be provided by the distortion value calculation unit 320.
  • the measuring instrument 300 is attached to, for example, a support member, but the form of the measuring instrument 300 is not limited to this example.
  • the measuring instrument 300 may be installed integrally with the strain sensor 200. Further, the measuring instrument 300 may be built in the feed management device 100.
  • the feed management device 100 includes a communication unit 110, a weight calculation unit 120, and a display control unit 130.
  • the communication unit 110 communicates with the measuring instrument 300 and the information processing terminal 400.
  • the feed management device 100 acquires measurement data including the strain value via the communication unit 110.
  • the weight calculation unit 120 calculates the weight of the feed in the feed tank based on the strain value included in the measurement data. At this time, the larger the strain value, the larger the calculated weight of the feed. Such a relationship between the strain value and the weight of the feed is created, for example, by acquiring the output strain value while changing the weight of the feed stored in the feed tank. The relationship between the strain value and the weight of the feed may be expressed by a predetermined function. The method for calculating the weight of the feed from the strain value is not limited to this example, and an existing method can be appropriately adopted. In the present embodiment, it is assumed that the relationship between the strain value and the weight of the feed is predetermined.
  • the weight calculation unit 120 stores the calculated weight in the storage device 500 in association with the feed tank identification information and the detection date / time information included in the measurement data.
  • the weight calculation unit 120 calculates the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
  • the weight calculation unit 120 is an example of the weight calculation means.
  • the display control unit 130 causes the display device to display the weight of the feed calculated by the weight calculation unit 120 as the remaining amount of the feed stored in the feed tank via the communication unit 110.
  • the display device is, for example, a display provided in the information processing terminal 400.
  • the information processing terminal 400 is a device provided with input / output means for communicating with the feed management device 100 via a network.
  • the information processing terminal 400 may be a personal computer or a portable terminal such as a smartphone or a tablet terminal.
  • the information processing terminal 400 is installed, for example, in a place where a livestock farmer can use it. Further, the information processing terminal 400 may be installed in a feed company or a distribution company.
  • the display control unit 130 may display the calculated numerical value of the weight of the feed as the remaining amount of the feed, or the ratio of the calculated weight of the feed to the capacity of the feed tank as the remaining amount of the feed. It may be displayed.
  • the capacity of the feed tank is, for example, the weight of the feed when the feed tank is filled with the feed.
  • the information indicating the capacity of the feed tank is stored in, for example, the storage device 500 together with the identification information of the feed tank.
  • 3 and 4 are examples of display modes of the remaining amount of feed displayed by the display control unit 130.
  • the display control unit 130 may indicate the capacity of the feed tank in a rectangular shape and fill the inside of the rectangular shape according to the weight of the feed to indicate the remaining amount of the feed.
  • the display control unit 130 may change the size of the rectangle according to the capacity of the feed tank, or the color to be filled according to the ratio of the weight of the feed to the capacity of the feed tank. You may change the pattern. In the example of FIG. 4, the larger the capacity of the feed tank, the larger the width of the rectangle indicating the capacity of the feed tank is displayed.
  • the pattern for filling the rectangle is displayed differently according to the ratio of the weight of the feed to the volume.
  • FIG. 4 shows that a feed tank with a capacity of 10 tons has less than 20% of the remaining amount of feed.
  • the display mode of the remaining amount of feed is not limited to the above-mentioned example.
  • the display control unit 130 may display the remaining amount of the feed by showing the transition of the weight of the feed with a line graph or a bar graph.
  • the display control unit 130 may change the display mode according to the place where the information processing terminal 400 is installed.
  • the display control unit 130 causes the display device to display the calculated weight of the feed.
  • the display control unit 130 is an example of the display control means.
  • FIG. 5 is a sequence diagram showing an example of the operation of the feed management system 1000.
  • the strain sensor 200 is attached to the surface of the support member that supports the feed tank. Further, the relationship between the sensor data and the strain value and the relationship between the strain value and the weight of the feed are predetermined.
  • the strain sensor 200 detects the strain occurring in the support member (S101).
  • the strain sensor 200 transmits sensor data indicating the detected value to the measuring instrument 300 (S102).
  • the sensor data transmitted at this time is, for example, the value of the electric resistance of the metal expanded and contracted due to the strain generated in the support member.
  • the measuring instrument 300 acquires the sensor data detected by the strain sensor 200 via the communication unit 310 (S103).
  • the strain value calculation unit 320 calculates the strain value based on the sensor data (S104). Then, the strain value calculation unit 320 transmits the measurement data including the strain value to the feed management device 100 via the communication unit 310 (S105).
  • the measuring instrument 300 may be set to always transmit the measurement data to the feed management device 100, may be set to transmit the measurement data at predetermined time intervals, and the strain value has changed. It may be set to send at times. Then, when the feed management device 100 acquires the measurement data via the communication unit 110 (S106), the feed management device 100 performs the feed management process (S107).
  • FIG. 6 is a flowchart illustrating the operation of the feed management process of the feed management device 100. Further, the flowchart of FIG. 6 shows the process of S107 of FIG.
  • the weight calculation unit 120 of the feed management device 100 calculates the weight of the feed based on the strain value included in the measurement data (S201). Then, the display control unit 130 causes the display device to display the weight of the feed as the remaining amount of the feed in the feed tank via the communication unit 110 (S202).
  • the feed management device 100 of the first embodiment feeds based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
  • the weight of the feed is calculated, and the calculated feed weight is displayed on the display device.
  • the feed management device 100 allows the user to grasp the remaining amount of feed in the container (that is, the feed tank) for storing the feed. If the feed company can accurately grasp the remaining amount of feed, it is possible to easily make a feed production plan, and thus it is possible to reduce the feed production cost. Further, if the feed company can accurately grasp the remaining amount of the feed, it is possible to efficiently arrange the delivery, so that the delivery cost of the feed can be reduced.
  • the place where the sensor for detecting the sensor data regarding the strain is attached is the surface of the container or the surface of the support member. That is, when installing the sensor, it is not necessary to replace the existing equipment including the feed tank and the support member, so that the introduction cost when introducing the feed management device 100 can be suppressed. That is, the feed management device 100 of the first embodiment can reduce the cost of supplying feed.
  • the feed management device 100 of the first embodiment can change the display mode according to the capacity of the container and the weight of the feed, and display the weight of the feed on the display device. With this configuration, the feed management device 100 can easily make the user grasp the remaining amount of the feed stored in the container.
  • FIG. 7 is a block diagram showing an example of the configuration of the feed management system 1001 of the second embodiment.
  • the feed management system 1001 includes a feed management device 101 in place of the feed management device 100 in the first embodiment, and other than that, the feed management system 1000 described in the first embodiment is used. The same is true. That is, the feed management system 1001 includes a feed management device 101, a strain sensor 200, and a measuring instrument 300. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1001 shown in FIG. 7 overlaps with the description of the first embodiment will be omitted.
  • the feed management device 101 includes a communication unit 110, a weight calculation unit 120, a display control unit 131, and a prediction unit 140.
  • the prediction unit 140 predicts the weight of the feed at the prediction time point indicating a future time point based on the weight of the feed calculated by the weight calculation unit 120.
  • the predicted time point is the elapsed time from the present, for example, one hour later, one day later, and one year later.
  • the predicted time point may be a time point after a predetermined time from the latest detection date and time.
  • the prediction time point is set in advance.
  • the predicted weight of the feed is also referred to as a predicted value.
  • the weight of the feed calculated based on the strain value is also referred to as an actually measured value.
  • the prediction unit 140 stores the predicted value in the storage device 500 in association with the date and time at the time of prediction and the identification information of the feed tank included in the measurement data. For example, the prediction unit 140 reads out the weight of the feed (measured value) calculated in the past from the storage device 500, and predicts the weight of the feed at the time of prediction based on the transition of the measured value. At this time, the prediction unit 140 predicts the weight of the feed at the time of prediction based on the prediction model generated in advance. For example, in the prediction model, regression analysis is performed using the weight of the feed as the objective variable and the time from the reference time as the explanatory variable based on the relationship between the measured value calculated within a predetermined period and the detection date and time. It is a derived regression equation. Then, the prediction unit 140 predicts the weight of the feed at the time of prediction using the derived regression equation.
  • the example in which the prediction unit 140 predicts the weight of the feed at the time of prediction is not limited to this example.
  • the prediction model is generated by regression analysis, for example, using the factors related to the behavior of livestock eating feed and the measured value of the weight of the feed in the feed tank as explanatory variables, and the weight of the feed at the time of prediction as the objective variable. May be done.
  • Factors related to the behavior of livestock eating feed are, for example, information about livestock and environmental information.
  • Information on livestock includes the type of livestock, the age of livestock, the number of livestock, the weight of livestock, the medical condition of livestock, the type of feed, and the like. Further, the environmental information is meteorological data including the temperature, humidity, rainfall, snowfall, etc. of the place where livestock are present (for example, a farm).
  • the prediction unit 140 performs machine learning using data indicating elements related to the behavior of livestock eating feed and measured values as training data, and thereby, the weight of the feed at the time of prediction corresponding to the input data. May be output.
  • the prediction unit 140 executes machine learning using a known machine learning algorithm. Known machine learning algorithms are, for example, SVMs (Support Vector Machines), neural networks, and random forests.
  • the prediction model is stored in the storage device 500. Further, the prediction model may be generated by the prediction unit 140.
  • the prediction unit 140 reads the prediction model from the storage device 500, inputs the feed weight calculated by the weight calculation unit 120, information on livestock, and environmental information as input, and makes a prediction time point. Predict the weight of the feed.
  • the information about the livestock is preset by the livestock farmer and stored in the storage device 500, for example, through the information processing terminal 400.
  • the environmental information is acquired from an external server device or the like (not shown) based on the location information of the farm where the livestock is located, for example.
  • the position information indicating the place where the feed tank is installed may be used as the position information of the farm.
  • the farm location information is stored in the storage device 500 in advance in association with the identification information of the feed tank.
  • the prediction unit 140 may predict the weight of the feed at a plurality of prediction time points. For example, the prediction unit 140 may predict the weight of the feed 6 hours, 1 day, and 3 days from the present, respectively.
  • the prediction unit 140 predicts the weight of the feed at the prediction time point indicating the future time point based on the calculated weight of the feed.
  • the prediction unit 140 is an example of a prediction means.
  • the display control unit 131 performs the following operations in addition to the operations of the display control unit 130 described in the first embodiment. That is, the display control unit 131 causes the display device to display the weight of the feed predicted by the prediction unit 140 via the communication unit 110.
  • FIG. 8 is a flowchart illustrating the operation of the feed management process of the feed management device 101.
  • the weight calculation unit 120 of the feed management device 101 calculates the weight of the feed based on the strain value included in the measurement data (S301).
  • the prediction unit 140 predicts the weight of the feed at the time of prediction based on the calculated weight of the feed (S302).
  • the display control unit 131 causes the display device to display the predicted weight of the feed as the remaining amount of the feed in the feed tank at the time of prediction (S303).
  • the feed management device 101 of the second embodiment is based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container. Calculate the weight. Then, the feed management device 101 predicts the weight of the feed at the predicted time point indicating the future time point based on the calculated weight of the feed. As a result, the feed management device 101 can display the remaining amount of feed in the container (that is, the feed tank) for storing the feed at the time of prediction on the display device. That is, the feed management device 101 can make the user grasp the remaining amount of feed at the time of prediction. Therefore, for example, a livestock farmer can order feed from a feed company at an early stage.
  • the feed production cost can be reduced. Further, as in the case of the feed management device 100 of the first embodiment, when installing the sensor, it is not necessary to replace the existing equipment including the feed tank and the support member, so that the introduction when introducing the feed management device 101 The cost can also be suppressed. That is, the feed management device 100 of the second embodiment can reduce the cost of supplying feed.
  • the feed management device 101 of the second embodiment provides information indicating at least one of the type of livestock to which the feed is fed, the age of the livestock, the number of livestock, the weight of the livestock, the medical condition of the livestock, and the type of feed. Further may be used to predict the weight of feed at the time of prediction.
  • the livestock to which the feed is fed is the livestock raised in the place where the feed tank is installed (for example, a farm). Further, the feed management device 101 may predict the weight of the feed at the time of prediction by further using the information indicating at least one of the temperature, humidity, rainfall, and snowfall in the place where the livestock to be fed is located. good. As a result, the feed management device 101 can predict the weight of the feed more accurately.
  • the feed management device 101 may display the weight of the feed on the display device based on the information at the time of input.
  • the feed management device 101 receives input of information at a time point from the information processing terminal 400 via the communication unit 110 in advance before the processing of S302.
  • the prediction unit 140 processes S302. Specifically, the prediction unit 140 predicts the weight of the feed at the time indicated in the input information based on the weight of the feed calculated at the detection date and time closest to the date and time when the input was received. That is, the prediction unit 140 predicts the weight of the feed as the time point prediction time point shown in the input information. Then, the display control unit 131 causes the display device to display the predicted weight of the feed via the communication unit 110.
  • the display control unit 131 When the time point indicated in the input information indicates a time point before the date and time when the input is received, the display control unit 131 performs the process of S303, the date and time at the time point indicated in the input information from the storage device 500. Read the weight of feed associated with the same detection date and time. Then, the display control unit 131 causes the display device to display the weight of the read feed via the communication unit 110.
  • the display control unit 131 may display the average value of the weights of the feed detected immediately before and after the date and time indicated in the input information.
  • a feed management system including the feed management device of the third embodiment will be described.
  • the feed management device sends a notification according to the weight of the feed.
  • FIG. 9 is a block diagram showing an example of the configuration of the feed management system 1002 of the third embodiment.
  • the feed management system 1002 includes the feed management device 102 instead of the feed management device 101 in the second embodiment, and other than that, the feed management system 1001 described in the second embodiment and the feed management system 1001. The same is true. That is, the feed management system 1002 includes a feed management device 102, a strain sensor 200, and a measuring instrument 300. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1002 shown in FIG. 9 overlaps with the description of the first and second embodiments will be omitted.
  • the feed management device 102 includes a communication unit 110, a weight calculation unit 120, a display control unit 131, a prediction unit 140, and a notification unit 150.
  • the notification unit 150 sends a notification according to the weight of the feed. Specifically, the notification unit 150 sends a notification indicating that the predicted value is less than the threshold value to the information processing terminal 400 when the weight (predicted value) of the feed predicted by the prediction unit 140 is less than the threshold value. Then, the information processing terminal 400 is made to output the information indicating that the notification has been sent. For example, the notification unit 150 generates voice from a speaker included in the information processing terminal 400 or a speaker connected to the information processing terminal 400. The information to be output is not limited to voice. For example, the notification unit 150 may emphasize a character or an image indicating that the predicted value is less than the threshold value and display it on the display device.
  • the notification unit 150 may send a notification indicating that the predicted value is less than the threshold value to a terminal different from the information processing terminal 400.
  • the notification unit 150 may send a notification to a mobile terminal owned by the user.
  • the threshold value is set in advance. The threshold value may be determined, for example, as the ratio of the weight of the feed to the capacity of the feed tank.
  • the notification unit 150 sends a notification indicating that the predicted feed weight is less than the threshold value.
  • the notification unit 150 is an example of notification means.
  • the feed management system 1001 performs the same processing as the processing of S101 to S106 in the sequence diagram shown in FIG. Then, the feed management system 1001 performs the operation shown in FIG. 10 instead of the feed management process shown in S107. Therefore, in this operation example, the operation performed after the feed management device 102 acquires the measurement data will be described with reference to FIG.
  • FIG. 10 is a flowchart illustrating the operation of the feed management process of the feed management device 102. Since the processing of S301 to S303 shown in FIG. 10 is the same as the processing of S301 to S303 shown in FIG. 8, the description thereof will be omitted.
  • the notification unit 150 determines if the predicted feed weight is below the threshold. If the predicted feed weight is less than the threshold (Yes in S304), the notification unit 150 sends a notification that the predicted feed weight is less than the threshold (S305). For example, the sound is generated from the speaker provided in the information processing terminal 400. If the predicted feed weight is not less than the threshold (No in S304), the feed management device 102 ends the process.
  • the processing of S304 and S305 may be performed before S303. In that case, the processing of S303 is performed after the processing of No. of S304 is performed or after the processing of S305 is performed.
  • the feed management device 102 of the third embodiment sends a notification indicating that the predicted feed weight is less than the threshold value.
  • the feed management device 102 can make the user know at an early stage that the feed is likely to be low, for example.
  • the notification unit 150 may send a notification according to the weight of the feed calculated by the weight calculation unit 120. For example, when the calculated feed weight (measured value) is less than the threshold value, the notification unit 150 sends a notification indicating that the measured value is less than the threshold value to the information processing terminal 400, and sends the information processing terminal 400 to the information processing terminal 400. Information indicating that the notification has been sent may be output.
  • FIG. 11 is a block diagram showing an example of the configuration of the feed management system 1003 according to the fourth embodiment.
  • the feed management system 1003 includes a feed management device 103, strain sensors 200-1, 200-2, ..., 200-n, and measuring instruments 300-1, 300-2, ... -With 300-n.
  • n is a natural number of 2 or more.
  • Each of the strain sensors 200-1, 200-2, ..., 200-n is attached to a feed tank installed at a different place from each other, and performs the same processing as the strain sensor 200 described in the first embodiment. conduct. Therefore, the strain sensors 200-1, 200-2, ..., 200-n are collectively referred to as the strain sensor 200.
  • each of the measuring instruments 300-1, 300-2, ..., 300-n is connected to each of the strain sensors 200-1, 200-2, ..., 200-n, and the first embodiment is performed.
  • the same processing as that of the measuring instrument 300 described in the embodiment is performed. Therefore, the measuring instruments 300-1, 300-2, ..., 300-n are collectively referred to as the measuring instrument 300.
  • the feed management device 103 includes a communication unit 110, a weight calculation unit 121, a display control unit 132, a prediction unit 141, and a notification unit 151.
  • the weight calculation unit 121, the display control unit 132, and the prediction unit 141 each have the weight calculation unit 120, the display control unit 131, the prediction unit 141, and the notification unit 151 described in the third embodiment. In addition to each of the operations described below, the operations described below are performed.
  • the weight calculation unit 121 calculates the weight of the feed in each feed tank (that is, the measured value) based on the strain value included in the measurement data acquired from each of the measuring instruments 300. Then, the weight calculation unit 121 stores the actually measured value and the detection date / time information in the storage device 500 for each identification information of the feed tank included in each measurement data.
  • the prediction unit 141 predicts the weight of the feed in each feed tank (that is, the predicted value) at the time of prediction based on each of the actually measured values calculated by the weight calculation unit 121. For example, with respect to the measured value calculated based on the strain detected by the strain sensor 200-1, the prediction unit 141 indicates the weight of the feed at the time of prediction in the feed tank to which the strain sensor 200-1 is attached. Predict. At this time, when predicting the weight of the feed based on the prediction model, the prediction unit 141 provides information on the livestock raised in the place where the feed tank to which the strain sensor 200-1 is installed is installed, and the relevant information. Use environmental information on the farm where the feed tank is installed. Then, the prediction unit 141 stores the predicted value and the date and time information at the time of prediction in the storage device 500 in association with each identification information of the feed tank.
  • the display control unit 132 causes the display device to display each of the weights of the feed predicted by the prediction unit 141 as the remaining amount of feed in each feed tank via the communication unit 110. At this time, the display control unit 132 may display each of the weights of the feed to be displayed in association with the position information of the farm where each feed tank is installed. For example, the display control unit 132 may display each of the weights of the feed to be displayed at the corresponding positions on the map based on the position information of the farm where each feed tank is installed.
  • the map information is stored in the storage device 500 in advance.
  • the display control unit 132 may acquire map information from an external server device (not shown).
  • FIG. 12 is an example of a display mode of the weight of the feed displayed by the display control unit 132.
  • the rectangles shown in FIGS. 3 and 4 are superimposed on the position of the farm where each feed tank is installed on the map from the latest detection date and time.
  • the width of the rectangle is displayed large according to the capacity of the feed tank, and the ratio of filling the inside of the rectangle is changed according to the weight (predicted value) of the feed.
  • the pattern for filling the rectangle is displayed differently according to the ratio of the predicted value to the capacity. For example, in FIG. 12, it can be seen that the feed tank of "farm A" has a capacity of "3 tons" and "20% or more and less than 50%" of feed remains.
  • the display mode is not limited to this example, and for example, a numerical value indicating the weight of the feed may be further superimposed and displayed on the example of FIG. 12, and the user operates the rectangle with the input device to display the feed. It may be displayed so as to output a numerical value indicating the weight.
  • the notification unit 151 sends a notification to the information processing terminal 400 according to the weight of the feed in each feed tank at the time of prediction. For example, the notification unit 151 sends a notification when any of the predicted values in each feed tank is less than the threshold value. At this time, the same threshold value may be set for each feed tank, or different threshold values may be set for each feed tank. The notification unit 151 may send a notification when two or more predicted values among the predicted values in each feed tank are less than the threshold value.
  • each of the strain sensors 200 performs the same processing as the processing of S101 and S102 in the sequence diagram shown in FIG.
  • each of the measuring instruments 300 performs the same processing as the processing of S103 to S105 in the sequence diagram shown in FIG. Therefore, the description of each operation of the strain sensor 200 and the measuring instrument 300 will be omitted.
  • the operation of the feed management device 103 will be described with reference to FIG.
  • FIG. 13 is a flowchart illustrating the operation of the feed management device 103.
  • the feed management device 103 acquires measurement data from each of the measuring instruments 300 via the communication unit 110 (S401).
  • the weight calculation unit 121 calculates the weight of the feed in each feed tank based on the strain value included in each measurement data (S402).
  • the prediction unit 140 predicts the weight of the feed in each feed tank at the time of prediction based on each of the calculated weights of the feed (S403).
  • the display control unit 132 causes the display device to display each of the predicted feed weights as the remaining amount of feed in each feed tank at the time of prediction (S404).
  • the display control unit 132 displays, for example, each of the weights of the feed to be displayed in association with the position information of the farm where each feed tank is installed. If any of the predicted feed weights is below the threshold (Yes in S405), the notification unit 151 sends a notification indicating that any of the predicted feed weights is below the threshold (S406). .. If none of the predicted feed weights are below the threshold (No in S405), the feed management device 103 ends the process.
  • the feed management device 103 of the third embodiment is based on the sensor data regarding the strain detected by the sensor attached to each of the containers when the containers are installed in each of the plurality of places.
  • the weight of the feed stored in each of the containers is calculated, and the weight of the feed stored in each of the containers at the time of prediction is predicted based on each of the calculated weights of the feed.
  • the feed management device 103 displays each of the remaining amount of feed in the container at the time of prediction on the display device even when the containers for storing the feed (that is, the feed tank) are installed in a plurality of places. Can be displayed.
  • a feed company can grasp at an early stage which of the containers installed in a plurality of places needs to be supplied with feed, so that it is possible to efficiently arrange the delivery of feed. can. That is, the feed management device 103 of the third embodiment can reduce the cost of supplying feed.
  • the display control unit 132 may display the weight (that is, the measured value) of the feed in each feed tank calculated by the weight calculation unit 121.
  • the feed management device 103 performs the following operations in place of the processing of S403 and S404 after the processing of S402. That is, the display control unit 132 causes the display device to display each of the actually measured values as the remaining amount in each feed tank.
  • the feed management device 103 in the modification 3 is based on the sensor data regarding the strain detected by the sensor attached to each of the containers.
  • the weight of the feed stored in each is calculated, and the weight of the feed stored in each of the containers is displayed on the display device.
  • the feed management device 103 in the third modification can, for example, make the feed company know in which of the containers installed at the plurality of locations the feed needs to be supplied, so that the feed can be supplied. It is possible to reduce the cost related to.
  • the notification unit 151 may send a notification according to the weight of the feed calculated by the weight calculation unit 121.
  • a feed management system including the feed management device of the fifth embodiment will be described.
  • the feed management device determines a delivery route for delivering the feed.
  • FIG. 14 is a block diagram showing an example of the configuration of the feed management system 1004 according to the fifth embodiment.
  • the feed management system 1004 includes the feed management device 104 instead of the feed management device 103 in the fourth embodiment, and other than that, the feed management system 1003 described in the fourth embodiment and the feed management system 1003. The same is true. That is, the feed management system 1004 includes the feed management device 104, strain sensors 200-1, 200-2, ..., 200-n, and measuring instruments 300-1, 300-2, ..., 300-n. And prepare. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1004 shown in FIG. 14 overlaps with the description of the first to fourth embodiments will be omitted.
  • the feed management device 104 includes a communication unit 110, a weight calculation unit 121, a display control unit 133, a prediction unit 141, a supply amount calculation unit 160, and a delivery route determination unit 170. ..
  • the display control unit 133 performs the operation described below.
  • the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied to the feed tank based on the weight of the feed.
  • the weight of the feed that needs to be supplied is also referred to as "supply amount".
  • the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied from the capacity of the feed tank and the measured value. For example, assume that the capacity of the feed tank is 10 tons, the measured value is 1 ton, and the threshold value is 2 tons. In this case, the supply amount calculation unit 160 determines that the measured value is less than the threshold value, and calculates 9 tons as the weight of the feed that needs to be supplied. In this way, the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied to the container based on the weight of the feed.
  • the supply amount calculation unit 160 is an example of the supply amount calculation means.
  • the supply amount calculation unit 160 may calculate the supply amount using the weight of the feed at the time of prediction, that is, the weight of the feed predicted by the prediction unit 141. Specifically, when the predicted value is less than the threshold value, the supply amount is calculated from the capacity of the feed tank and the predicted value. For example, assume that the capacity of the feed tank is 10 tons, the measured value is 3 tons, the predicted value is 1 ton, and the threshold value is 2 tons. In this case, the supply amount calculation unit 160 calculates 9 tons as the supply amount because the measured value is equal to or more than the threshold value but the predicted value is less than the threshold value. In this way, the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied to the container based on the predicted weight of the feed.
  • the supply amount calculation unit 160 stores the supply amount calculated based on the actually measured value or the predicted value in the storage device 500 in association with the identification information of the feed tank. Whether the supply amount calculation unit 160 determines the supply amount based on the actually measured value or the predicted value is determined, for example, based on the information at the time input by the user through the information processing terminal 400. .. Specifically, the supply amount calculation unit 160 calculates the supply amount based on the predicted value when the time point indicates the future, and when the time point does not indicate the future, the supply amount is the date and time indicated by the time point. Calculated based on the measured value.
  • the delivery route determination unit 170 determines the delivery route for delivering the feed. For example, the delivery route determination unit 170 reads out the position information of the feed tank whose actually measured value is less than the threshold value from the storage device 500. The delivery route determination unit 170 sets the position where the feed tank whose actual measurement value is less than the threshold value is installed, that is, the position indicated by the read position information as the delivery destination. Then, the delivery route determination unit 170 uses the map information to deliver the feed from the starting point (for example, the feed company, the feed warehouse owned by the feed company, the point where the vehicle owned by the distribution company is located, etc.) to the delivery destination. Determine the delivery route to go around.
  • the starting point for example, the feed company, the feed warehouse owned by the feed company, the point where the vehicle owned by the distribution company is located, etc.
  • the delivery route determination unit 170 sets each of the installed positions of the feed tanks whose actually measured values are less than the threshold value as the delivery destination. Then, the delivery route determination unit 170 determines a delivery route that patrols each of the delivery destinations from the departure point. In this way, the delivery route determination unit 170 determines the delivery route that patrols the delivery destination, with the position where the container in which the weight of the feed is less than the threshold value is installed as the delivery destination.
  • the delivery route determination unit 170 is an example of the delivery route determination means.
  • the delivery route determination unit 170 may determine the delivery route using the predicted value. For example, the delivery route determination unit 170 reads the position information of the feed tank whose predicted value is less than the threshold value from the storage device 500. The delivery route determination unit 170 sets the position where the feed tank whose predicted value is less than the threshold value is installed, that is, the position indicated by the read position information as the delivery destination. Then, the delivery route determination unit 170 determines a delivery route that patrols the delivery destination from the departure point where the feed is delivered, using the map information. When there are a plurality of feed tanks whose predicted value is less than the threshold value, the delivery route determination unit 170 sets each of the installed positions of the feed tanks whose predicted value is less than the threshold value as the delivery destination.
  • the delivery route determination unit 170 determines a delivery route that patrols each of the delivery destinations from the departure point. In this way, the delivery route determination unit 170 determines the delivery route that patrols the delivery destination, with the position where the container in which the predicted feed weight is less than the threshold value is installed as the delivery destination.
  • the delivery route determination unit 170 determines the supply amount based on the actually measured value or the predicted value is determined, for example, based on the information at the time input by the user through the information processing terminal 400. .. Specifically, the delivery route determination unit 170 determines the delivery route based on the predicted value when the time point indicates the future, and when the time point does not indicate the future, the delivery route is determined by the date and time indicated by the time point. Determined based on measured values.
  • the delivery route determination unit 170 may determine the delivery route based on the type of livestock.
  • One vehicle and one driver may not be able to tour farms of different types of livestock. Specifically, when delivering feed, it is possible to visit only the farms that raise pigs, but it is not possible to visit the farms that raise cattle after visiting the farms that raise pigs. This is to prevent vehicles and drivers from coming into contact with different types of livestock. For example, when a virus is transmitted between different types of livestock, the characteristics of the virus may change. Then, the vaccine against the virus may not be effective or the disease may change. By avoiding contact of vehicles and drivers with heterogeneous livestock, it is possible to prevent the virus from being transmitted between such heterogeneous livestock. Therefore, the delivery route determination unit 170 determines, for example, a delivery route that patrols only the delivery destination where the same type of livestock is bred, according to the type of livestock raised at the delivery destination.
  • the delivery route determination unit 170 may also determine the vehicle and driver used for delivery. For example, the delivery route determination unit 170 determines a vehicle to be used for delivery by using the type of livestock raised at the delivery destination and vehicle information.
  • the vehicle information is information in which the vehicle identification information, the type of livestock corresponding to the vehicle, the load capacity of the vehicle, and the like are associated with each other. Further, for example, the delivery route determination unit 170 determines a driver to drive a vehicle by using the type of livestock raised at the delivery destination and the driver information.
  • the driver information is information in which the identification information of the driver and the type of livestock corresponding to the driver are associated with each other. Vehicle information and driver information are stored in the storage device 500 in advance.
  • the delivery route determination unit 170 may further use the supply amount calculated by the supply amount calculation unit 160 to determine the vehicle to be used for delivery. For example, if the total supply amount of the delivery destination is 6 tons, the feed cannot be sufficiently delivered by the vehicle having a load capacity of 4 tons. Therefore, the delivery route determination unit 170 determines the vehicle to be used for delivery based on the total supply amount of the delivery destination and the load amount included in the vehicle information. Specifically, the delivery route determination unit 170 determines a vehicle whose total supply amount of the delivery destination does not exceed the load capacity as a vehicle to be used for delivery.
  • FIGS. 15 and 16 An example of the display mode of the delivery route when the delivery route is determined based on the measured value and when the delivery route is determined based on the predicted value will be described with reference to FIGS. 15 and 16. It is assumed that the current time point is 12:00 on May 14, 2020, and a value of 50% of the capacity of the feed tank is set as a threshold value.
  • the display control unit 133 causes the display device to display the delivery route determined by the delivery route determination unit 170.
  • FIG. 15 is an example of a display mode of the delivery route determined by using the measured value.
  • the rectangles shown in FIGS. 3 and 4 are superimposed on the position of the farm where each feed tank is installed on the map.
  • the delivery route indicated by the arrow is superimposed on the map.
  • the feed management device 104 determines the delivery route and causes the display device to display the delivery route, so that, for example, the distribution company can grasp the delivery route. Therefore, the logistics company can efficiently make a delivery plan.
  • FIG. 16 is an example of a delivery route display mode determined using predicted values.
  • FIG. 16 shows the delivery route at 12:00 on May 17, 2020, three days later. Compared to the situation of FIG. 15, at the time of 3 days, the remaining amount of feed in the feed tank of farm D is less than 50%. Therefore, a delivery route that goes around farm A, farm C, and farm D from the starting point is shown.
  • the feed management device 104 determines the delivery route at the time of prediction, and causes the display device to display the delivery route at the time of prediction, so that, for example, the distribution company can grasp the delivery route at an early stage. Therefore, the logistics company can make a delivery plan more efficiently.
  • the display control unit 133 may display information indicating the vehicle and driver.
  • the example of displaying the delivery route is not limited to this example.
  • the display control unit 133 may display the delivery route in characters. Further, the display control unit 133 may display the supply amount calculated by the supply amount calculation unit 160 on the display device.
  • each of the strain sensors 200 performs the same processing as the processing of S101 and S102 in the sequence diagram shown in FIG.
  • each of the measuring instruments 300 performs the same processing as the processing of S103 to S105 in the sequence diagram shown in FIG. Therefore, the description of each operation of the strain sensor 200 and the measuring instrument 300 will be omitted.
  • FIG. 17 is a flowchart illustrating the operation of the feed management device 104.
  • Each of the processes of S501 to S504 shown in FIG. 17 is the same as that of each of the processes of S401 to S404 shown in FIG. Therefore, the description thereof will be omitted.
  • the delivery route determination unit 170 sets the position indicated by the position information of the feed tank whose predicted value is less than the threshold value as the delivery destination (S505).
  • the delivery route determination unit 170 determines the delivery route based on the location information of the delivery destination (S506). For example, the delivery route determination unit 170 uses the location information of the delivery destination and the map information to determine a delivery route that patrols the delivery destination from the departure point where the feed is delivered. At this time, the delivery route determination unit 170 may determine a delivery route that patrols only the delivery destination where the same type of livestock is bred, depending on the type of livestock raised at the delivery destination.
  • the supply amount calculation unit 160 calculates the supply amount of the delivery destination (S507). For example, the supply amount calculation unit 160 calculates the supply amount based on the predicted value of the feed in the feed tank of the delivery destination.
  • the delivery route determination unit 170 determines a vehicle and a driver to be used for delivery based on the type of livestock and the supply amount of the delivery destination (S508).
  • the display control unit 133 causes the display device to display the determined delivery route, vehicle, and driver (S509).
  • the feed management device 104 of the fifth embodiment sets the delivery destination at the position where the container in which the weight of the feed is less than the threshold value is installed, determines the delivery route that patrols the delivery destination, and determines the delivery route. Display on the display device.
  • the distribution company can be made to grasp the delivery route. Therefore, the logistics company can efficiently make a delivery plan. Therefore, the feed management device 104 can reduce the delivery cost.
  • FIG. 18 is a block diagram showing the configuration of the feed management device 600 according to the sixth embodiment. As shown in FIG. 18, the feed management device 600 includes a weight calculation unit 610 and a display control unit 620.
  • the weight calculation unit 610 calculates the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
  • the display control unit 620 displays the calculated weight of the feed on the display device.
  • the feed management device 600 of the sixth embodiment allows the user to grasp the remaining amount of feed in the container for storing the feed. If the feed company can accurately grasp the remaining amount of feed, it is possible to easily make a feed production plan, reduce the feed production cost, and efficiently arrange the delivery of the feed. It is possible to reduce the delivery cost of.
  • the place where the sensor for detecting the sensor data regarding the strain is attached is the surface of the container or the surface of the support member. That is, when installing the sensor, it is not necessary to replace the existing equipment including the feed tank and the support member, so that the introduction cost when introducing the feed management device 600 can be suppressed. That is, the feed management device 600 of the sixth embodiment can reduce the cost of supplying feed.
  • FIG. 19 is a block diagram showing an example of a hardware configuration of a computer device that realizes the feed management device in each embodiment.
  • Each block shown in FIG. 19 can be realized by a combination of software and a computer device 10 that realizes the feed management device and the feed management method in each embodiment.
  • the computer device 10 includes a processor 11, a RAM (Random Access Memory) 12, a ROM (Read Only Memory) 13, a storage device 14, an input / output interface 15, a bus 16, and a drive device 17.
  • the feed management device may be realized by a plurality of electric circuits.
  • the storage device 14 stores a program (computer program) 18.
  • the processor 11 executes the program 18 of the feed management device using the RAM 12.
  • the program 18 includes a program that causes a computer to execute the processes shown in FIGS. 5, 6, 8, 10, 13, and 17.
  • the processor 11 of each component of the feed management device (weight calculation unit 120, 121, 610, display control unit 130, 131, 132, 133, 620, etc. described above).
  • the function is realized.
  • the program 18 may be stored in the ROM 13. Further, the program 18 may be recorded on the storage medium 20 and read out using the drive device 17, or may be transmitted from an external device (not shown) to the computer device 10 via a network (not shown).
  • the input / output interface 15 exchanges data with peripheral devices (keyboard, mouse, display device, etc.) 19.
  • the input / output interface 15 functions as a means for acquiring or outputting data.
  • the bus 16 connects each component.
  • the feed management device can be realized as a dedicated device. Further, the feed management device can be realized based on a combination of a plurality of devices.
  • a processing method in which a program for realizing each component in the function of each embodiment is recorded in a storage medium, the program recorded in the storage medium is read out as a code, and the program is executed in a computer is also included in the category of each embodiment. .. That is, a computer-readable storage medium is also included in the scope of each embodiment. Further, the storage medium in which the above-mentioned program is recorded and the program itself are also included in each embodiment.
  • the storage medium is, for example, a floppy disk (registered trademark) disk, a hard disk, an optical disk, a magneto-optical disk, a CD (Compact Disc) -ROM, a magnetic tape, a non-volatile memory card, or a ROM, but the storage medium is not limited to this example.
  • the program recorded on the storage medium is not limited to a program that executes processing by itself, but operates on an OS (Operating System) in cooperation with other software and expansion board functions to execute processing. Programs to be implemented are also included in the category of each embodiment.
  • a weight calculation means for calculating the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
  • a display control means for displaying the calculated weight of the feed on a display device is provided. Feed management device.
  • the display control means changes the display mode according to the capacity of the container and the weight of the feed, and causes the display device to display the weight of the feed.
  • the feed management device according to Appendix 1.
  • the weight calculating means calculates the weight of the feed stored in each of the containers based on the sensor data detected by the sensors attached to each of the containers.
  • the display control means causes the display device to display the weight of the feed stored in each of the containers.
  • the feed management device according to Appendix 1 or 2.
  • a delivery route determining means for determining a delivery route that patrols the delivery destination is provided at a position where the container in which the weight of the feed is less than the threshold value is installed.
  • the display control means causes the display device to display the delivery route.
  • the feed management device according to any one of Supplementary note 1 to 3.
  • the delivery route determining means determines the delivery route according to the type of livestock raised at the delivery destination.
  • the feed management device according to Appendix 4.
  • the delivery route determining means determines a vehicle and a driver to deliver the feed according to the type of livestock raised at the delivery destination.
  • the feed management device according to Appendix 4 or 5.
  • a prediction means for predicting the weight of the feed at the time of prediction based on the calculated weight of the feed is provided.
  • the delivery route determining means determines the delivery route that patrols the delivery destination, with the position where the container in which the predicted weight of the feed is less than the threshold value is installed as the delivery destination.
  • the feed management device according to any one of Supplementary note 4 to 6.
  • the display control means displays the weight of the feed at the date and time according to the input date and time information.
  • the feed management device according to any one of Supplementary note 1 to 7.
  • the weight of the feed is calculated based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container. Display the calculated weight of the feed on the display device. Feed management method.
  • the delivery destination is the position where the container in which the weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined. Displaying the delivery route on the display device, The feed management method according to any one of Supplementary note 10 to 12.
  • Appendix 15 The vehicle and driver to which the feed is delivered are determined according to the type of livestock raised at the delivery destination. The feed management method according to Appendix 13 or 14.
  • Appendix 20 When the container is installed in each of multiple locations, In the process of calculating the weight of the feed, the weight of the feed stored in each of the containers is calculated based on the sensor data detected by the sensors attached to each of the containers. In the process of displaying, the display device displays the weight of the feed stored in each of the containers.
  • the delivery destination is the position where the container in which the weight of the feed is less than the threshold value is installed, and the process of determining the delivery route that patrols the delivery destination is further executed. In the process of displaying, the delivery route is displayed on the display device.
  • the computer-readable storage medium according to any one of Supplementary note 18 to 20.
  • Appendix 22 In the process of determining the delivery route, the delivery route is determined according to the type of livestock raised at the delivery destination.
  • Appendix 23 In the process of determining the delivery route, the vehicle and the driver to deliver the feed are determined according to the type of livestock raised at the delivery destination.
  • Feed management device 110 310 Communication unit 120, 121, 610 Weight calculation unit 130, 131, 132, 133, 620 Display control unit 140, 141 Prediction unit 150, 151 Notification unit 160 Supply amount calculation unit 170 Delivery route determination unit 200 Strain sensor 300 Measuring instrument 320 Strain value calculation unit 400 Information processing terminal 500 Storage device

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Abstract

Provided is a feed management device or the like capable of reducing the cost related to supply of a feed. A feed management device according to one aspect of the present disclosure is provided with: a weight calculation means that calculates the weight of a feed on the basis of sensor data relating to a strain detected by a sensor attached to the surface of a container storing the feed or the surface of a support member supporting the container; and a display control means for causing the display device to display the calculated weight of the feed.

Description

飼料管理装置、飼料管理方法、飼料管理システム、及びコンピュータ読み取り可能な記憶媒体Feed management equipment, feed management methods, feed management systems, and computer-readable storage media
 本開示は、飼料を管理する技術に関する。 This disclosure relates to technology for managing feed.
 家畜に給餌するため飼料を供給する際、例えば、畜産農家が、飼料を保管する飼料タンクを確認し、飼料の残量に応じて飼料会社に飼料の発注を行い、飼料会社が、その発注に応じて、飼料の生産及び飼料の配送の手配を行う。そして、物流会社が、畜産農家に対して飼料の配送を行う。このような飼料の供給の場面において、飼料の残量を管理する技術が存在する。 When supplying feed for feeding livestock, for example, a livestock farmer checks the feed tank that stores the feed, orders the feed from the feed company according to the remaining amount of feed, and the feed company places the order. Arrange for feed production and feed delivery accordingly. Then, the distribution company delivers the feed to the livestock farmer. In such a feed supply situation, there is a technique for managing the remaining amount of feed.
 例えば、特許文献1には、発光素子を備えたセンサを用いて、飼料タンクに備えられたスリット越しに飼料タンク内へ光を照射し、照射した光の反射光の反射強度の情報に基づいて飼料タンク内の飼料の残量を判定する技術が開示されている。 For example, in Patent Document 1, a sensor provided with a light emitting element is used to irradiate the feed tank with light through a slit provided in the feed tank, and based on information on the reflected intensity of the reflected light of the irradiated light. A technique for determining the remaining amount of feed in a feed tank is disclosed.
 また、特許文献2には、飼料タンクを搭載することによって生じた歪みを、センサを用いて検出し、検出された歪みに基づいて、飼料タンク内の飼料の残量を測定する技術が開示されている。 Further, Patent Document 2 discloses a technique of detecting a strain generated by mounting a feed tank using a sensor and measuring the remaining amount of feed in the feed tank based on the detected strain. ing.
実用新案登録第3194323号公報Utility Model Registration No. 3194323 Gazette 特開2001-033320号公報Japanese Unexamined Patent Publication No. 2001-0333220
 特許文献1の技術では、設置したセンサの高さに飼料が存在するか否かを判定しているため、飼料の残量を、おおまかにしか検出することができない。上述のような飼料の供給の場面において飼料タンク内の飼料の正確な残量が把握されないと、例えば飼料会社は、計画的な飼料の生産ができなくなり、飼料生産にかかるコストが高くなる虞がある。また、特許文献1の技術では、飼料タンクには、スリットが備えられていることが前提となる。そのため、当該技術を導入する際に、既存の飼料タンクにスリットが入っていない場合、飼料タンクを交換するためのコストがかかる虞もある。 In the technique of Patent Document 1, since it is determined whether or not the feed is present at the height of the installed sensor, the remaining amount of the feed can only be roughly detected. If the exact remaining amount of feed in the feed tank is not known in the feed supply situation as described above, for example, the feed company may not be able to produce the feed in a planned manner, and the cost of feed production may increase. be. Further, in the technique of Patent Document 1, it is premised that the feed tank is provided with a slit. Therefore, when the technology is introduced, if the existing feed tank does not have a slit, there is a possibility that the cost for replacing the feed tank will be high.
 特許文献2の技術では、中央起歪部と呼ばれる部材に、飼料タンクの荷重をかけることにより、部材に歪みを発生させ、その歪みを検出している。しかしながら、中央起歪部は飼料タンクを支持する部材に組み込まれている。そのため、当該技術を導入する際には、飼料タンクを支持する部材を交換するためのコストがかかる虞がある。 In the technique of Patent Document 2, a strain is generated in the member by applying a load of the feed tank to the member called the central strain generating portion, and the strain is detected. However, the central straining portion is incorporated into the member supporting the feed tank. Therefore, when introducing the technique, there is a possibility that it costs a lot to replace the member supporting the feed tank.
 本開示は、上記課題を鑑みてなされたものであり、飼料の供給にかかるコストを低減することができる飼料管理装置等を提供することを目的の一つとする。 The present disclosure has been made in view of the above problems, and one of the purposes of the present disclosure is to provide a feed management device or the like that can reduce the cost of feeding feed.
 本開示の一態様にかかる飼料管理装置は、飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出する重量算出手段と、算出された前記飼料の重量を表示装置に表示させる表示制御手段と、を備える。 The feed management device according to one aspect of the present disclosure determines the weight of the feed based on sensor data regarding strain detected by a sensor attached to the surface of a container for storing the feed or the surface of a support member supporting the container. It is provided with a weight calculation means for calculating and a display control means for displaying the calculated weight of the feed on a display device.
 本開示の一態様にかかる飼料管理方法は、飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出し、算出された前記飼料の重量を表示装置に表示させる。 The feed management method according to one aspect of the present disclosure determines the weight of the feed based on sensor data regarding strain detected by a sensor attached to the surface of a container for storing the feed or the surface of a support member supporting the container. Calculated and display the calculated weight of the feed on the display device.
 本開示の一態様にかかるコンピュータ読み取り可能な記憶媒体は、飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出する処理と、算出された前記飼料の重量を表示装置に表示させる処理と、をコンピュータに実行させるプログラムを格納する。 The computer-readable storage medium according to one aspect of the present disclosure is based on sensor data for strain detected by a sensor mounted on the surface of a container for storing feed or the surface of a support member supporting the container. A program for causing a computer to execute a process of calculating the weight of the feed and a process of displaying the calculated weight of the feed on the display device is stored.
 本開示によれば、飼料の供給にかかるコストを低減することができる。 According to the present disclosure, the cost of supplying feed can be reduced.
本開示の第1の実施形態の飼料管理システムの構成の一例を模式的に示す図である。It is a figure which shows typically an example of the structure of the feed management system of 1st Embodiment of this disclosure. 本開示の第1の実施形態の飼料管理システムの機能構成の一例を含むブロック図である。It is a block diagram which includes an example of the functional structure of the feed management system of 1st Embodiment of this disclosure. 本開示の第1の実施形態の飼料の重量の表示態様の一例を示す図である。It is a figure which shows an example of the display aspect of the weight of the feed of 1st Embodiment of this disclosure. 本開示の第1の実施形態の飼料の重量の表示態様の他の例を示す図である。It is a figure which shows the other example of the display aspect of the weight of the feed of 1st Embodiment of this disclosure. 本開示の第1の実施形態の飼料管理システムの動作の一例を示すシーケンス図である。It is a sequence diagram which shows an example of the operation of the feed management system of 1st Embodiment of this disclosure. 本開示の第1の実施形態の飼料管理装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of the operation of the feed management apparatus of 1st Embodiment of this disclosure. 本開示の第2の実施形態の飼料管理システムの機能構成の一例を示すブロック図である。It is a block diagram which shows an example of the functional structure of the feed management system of the 2nd Embodiment of this disclosure. 本開示の第2の実施形態の飼料管理装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of the operation of the feed management apparatus of 2nd Embodiment of this disclosure. 本開示の第3の実施形態の飼料管理システムの機能構成の一例を示すブロック図である。It is a block diagram which shows an example of the functional structure of the feed management system of 3rd Embodiment of this disclosure. 本開示の第3の実施形態の飼料管理装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of the operation of the feed management apparatus of 3rd Embodiment of this disclosure. 本開示の第4の実施形態の飼料管理システムの機能構成の一例を示すブロック図である。It is a block diagram which shows an example of the functional structure of the feed management system of 4th Embodiment of this disclosure. 本開示の第4の実施形態の飼料の重量の表示態様の一例を示す図である。It is a figure which shows an example of the display aspect of the weight of the feed of 4th Embodiment of this disclosure. 本開示の第4の実施形態の飼料管理装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of the operation of the feed management apparatus of 4th Embodiment of this disclosure. 本開示の第5の実施形態の飼料管理システムの機能構成の一例を示すブロック図である。It is a block diagram which shows an example of the functional structure of the feed management system of the 5th Embodiment of this disclosure. 本開示の第5の実施形態の配送ルートの表示態様の一例を示す図である。It is a figure which shows an example of the display mode of the delivery route of the 5th Embodiment of this disclosure. 本開示の第5の実施形態の配送ルートの表示態様の他の例を示す図である。It is a figure which shows the other example of the display mode of the delivery route of the 5th Embodiment of this disclosure. 本開示の第5の実施形態の飼料管理装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of the operation of the feed management apparatus of the 5th Embodiment of this disclosure. 本開示の第6の実施形態の飼料管理装置の機能構成の一例を示すブロック図である。It is a block diagram which shows an example of the functional structure of the feed management apparatus of the 6th Embodiment of this disclosure. 本開示の第1、第2、第3、第4、第5、及び第6の実施形態の飼料管理装置を実現するコンピュータ装置のハードウェア構成の一例を示すブロック図である。It is a block diagram which shows an example of the hardware composition of the computer apparatus which realizes the feed management apparatus of the 1st, 2nd, 3rd, 4th, 5th, and 6th embodiments of this disclosure.
 以下に、本発明の実施形態について、図面を参照しつつ説明する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings.
 <第1の実施形態>
 第1の実施形態の飼料管理装置を含む飼料管理システムについて説明する。
<First Embodiment>
A feed management system including the feed management device of the first embodiment will be described.
 図1は、第1の実施形態の飼料管理システム1000の構成の一例を模式的に示す図である。図1に示すように飼料管理システム1000は、飼料管理装置100と、歪みセンサ200と、測定器300とを備える。飼料管理装置100は、測定器300と、有線または無線で通信可能に接続される。また、飼料管理装置100は、情報処理端末400と記憶装置500とも、有線または無線で通信可能に接続される。なお、情報処理端末400は複数あってもよい。その場合、飼料管理装置100は、情報処理端末400の各々と通信可能に接続される。記憶装置500は、飼料管理装置100の内部に構築されてもよい。 FIG. 1 is a diagram schematically showing an example of the configuration of the feed management system 1000 of the first embodiment. As shown in FIG. 1, the feed management system 1000 includes a feed management device 100, a strain sensor 200, and a measuring instrument 300. The feed management device 100 is connected to the measuring instrument 300 so as to be able to communicate with each other by wire or wirelessly. Further, the feed management device 100 is also connected to the information processing terminal 400 and the storage device 500 so as to be able to communicate with each other by wire or wirelessly. There may be a plurality of information processing terminals 400. In that case, the feed management device 100 is communicably connected to each of the information processing terminals 400. The storage device 500 may be constructed inside the feed management device 100.
 歪みセンサ200は、飼料タンクの表面または飼料タンクを支持する支持部材の表面に取り付けられている。ここで、飼料タンクとは、飼料を保管する容器を示す。飼料タンクは、飼料を投入する箇所である投入口と、飼料を排出する箇所である排出口を有する。飼料タンクは、例えば、畜産農家が所有する農場に設置されている。支持部材は、例えば支柱であり、飼料タンクは、複数本の支柱によって支持される。歪みセンサ200は、飼料タンクまたは支持部材の歪みを検出する。検出された歪みを示す情報は、測定器300を介して飼料管理装置100に送信される。飼料管理装置100は、歪みを示す情報に基づき、飼料タンクに保管されている飼料の重量を算出する。そして、飼料管理装置100は、算出した飼料の重量を、飼料タンクに保管されている飼料の残量とし、その飼料の管理を行う。このように、飼料管理システム1000は、飼料タンクの表面または支持部材に取り付けられた歪みセンサから得られる情報に基づいて、飼料の重量を算出することによって、飼料タンクに保管されている飼料を管理するシステムである。なお、本明細書において、飼料管理装置100が行う、飼料を管理する処理を「飼料管理処理」とも称する。また、飼料管理装置100は、オンプレミス環境で構築されてもよいし、クラウド環境で構築されてもよい。 The strain sensor 200 is attached to the surface of the feed tank or the surface of the support member that supports the feed tank. Here, the feed tank indicates a container for storing feed. The feed tank has an input port where the feed is input and an discharge port where the feed is discharged. The feed tank is installed, for example, on a farm owned by a livestock farmer. The support member is, for example, a strut, and the feed tank is supported by a plurality of strut. The strain sensor 200 detects the strain of the feed tank or the support member. Information indicating the detected strain is transmitted to the feed management device 100 via the measuring instrument 300. The feed management device 100 calculates the weight of the feed stored in the feed tank based on the information indicating the strain. Then, the feed management device 100 uses the calculated weight of the feed as the remaining amount of the feed stored in the feed tank, and manages the feed. In this way, the feed management system 1000 manages the feed stored in the feed tank by calculating the weight of the feed based on the information obtained from the strain sensor attached to the surface of the feed tank or the support member. It is a system to do. In addition, in this specification, the process which manages a feed performed by a feed management apparatus 100 is also referred to as "feed management process". Further, the feed management device 100 may be constructed in an on-premises environment or a cloud environment.
 次に、図2を用いて飼料管理システム1000の構成の詳細を説明する。図2は、第1の実施形態の飼料管理システム1000の構成の一例を示すブロック図である。 Next, the details of the configuration of the feed management system 1000 will be described with reference to FIG. FIG. 2 is a block diagram showing an example of the configuration of the feed management system 1000 of the first embodiment.
 [歪みセンサ200の詳細]
 歪みセンサ200は、部材の歪みを検出するセンサである。部材に外力が加わることにより、部材には伸縮が生じる。部材の歪みとは、例えば、部材に伸縮が生じた際の部材の変形量を示す。ここで、金属が伸縮すると、その金属の電気抵抗は変化する。歪みセンサ200は、部材に取り付けられることにより、部材の伸縮に応じて伸縮した、歪みセンサ200が有する金属の電気抵抗の変化を利用して部材の歪みを検出する。このような歪みセンサ200は、歪みゲージとも呼ばれる。
[Details of strain sensor 200]
The strain sensor 200 is a sensor that detects strain of a member. When an external force is applied to the member, the member expands and contracts. The strain of the member indicates, for example, the amount of deformation of the member when the member expands or contracts. Here, when the metal expands and contracts, the electrical resistance of the metal changes. When the strain sensor 200 is attached to the member, the strain sensor 200 detects the strain of the member by utilizing the change in the electric resistance of the metal of the strain sensor 200, which expands and contracts according to the expansion and contraction of the member. Such a strain sensor 200 is also called a strain gauge.
 飼料タンク及び飼料タンクを支持する支持部材には、飼料タンクに保管されている飼料の荷重によって歪みが生じる。そのため、飼料タンクまたは支持部材そのものの歪みを検出することにより、飼料の重量を算出することが可能となる。そこで、本実施形態においては、歪みセンサ200は、飼料タンクまたは支持部材において、飼料の荷重に起因して歪みが生じる箇所の表面に、接着剤等によって取り付けられる。飼料の荷重に起因して歪みが生じる箇所とは、例えば、排出口付近の飼料タンクの外側の表面や、飼料タンクに接触する支持部材(例えば支柱)の表面等である。図1の例では、歪みセンサ200が飼料タンクの支持部材の表面に取り付けられているが、飼料の荷重に起因して歪みが生じる箇所の表面であれば、歪みセンサ200を取り付ける箇所はこの例に限らない。また、歪みセンサ200は、飼料タンク及び支持部材において、飼料の荷重に起因して生じる歪みの大きさが、他の箇所と比べて大きい箇所の表面に取り付けられてもよい。例えば、排出口付近の飼料タンクの表面と、飼料タンクに接触する支持部材の表面とで、予め歪みの大きさを調べ、歪みの大きさが大きい方に歪みセンサ200が取り付けられてもよい。これにより、歪みの変化を精度よく検出することができる。また、歪みセンサ200は、複数取り付けられてもよい。これにより、例えば、飼料タンク内で飼料に偏りが発生したときであっても歪みの変化をより精度よく検出することができる。さらに、一つの飼料タンクに歪みセンサ200が複数取り付けられることにより、例えば、複数の歪みセンサ200のうちの一が故障したときであっても歪みの変化を検出することができる。そして、歪みセンサ200は、検出された値を測定器300に送る。このように、歪みセンサ200は、容器の表面または支持部材の表面に取り付けられ、飼料の荷重によって生ずる容器又は支持部材の歪みを検出する。 The feed tank and the support members that support the feed tank are distorted by the load of the feed stored in the feed tank. Therefore, it is possible to calculate the weight of the feed by detecting the strain of the feed tank or the support member itself. Therefore, in the present embodiment, the strain sensor 200 is attached to the surface of the feed tank or the support member where strain occurs due to the load of the feed by an adhesive or the like. The location where the strain is generated due to the load of the feed is, for example, the outer surface of the feed tank near the discharge port, the surface of the support member (for example, a support) in contact with the feed tank, or the like. In the example of FIG. 1, the strain sensor 200 is attached to the surface of the support member of the feed tank, but if the surface is the surface where the strain is generated due to the load of the feed, the location where the strain sensor 200 is attached is this example. Not limited to. Further, the strain sensor 200 may be attached to the surface of a feed tank and a support member where the magnitude of strain caused by the load of the feed is larger than that of other portions. For example, the magnitude of strain may be examined in advance on the surface of the feed tank near the discharge port and the surface of the support member in contact with the feed tank, and the strain sensor 200 may be attached to the one having the larger strain. As a result, changes in distortion can be detected with high accuracy. Further, a plurality of strain sensors 200 may be attached. Thereby, for example, even when the feed is biased in the feed tank, the change in strain can be detected more accurately. Further, by attaching a plurality of strain sensors 200 to one feed tank, it is possible to detect a change in strain even when one of the plurality of strain sensors 200 fails, for example. Then, the strain sensor 200 sends the detected value to the measuring instrument 300. In this way, the strain sensor 200 is attached to the surface of the container or the surface of the support member, and detects the strain of the container or the support member caused by the load of the feed.
 [測定器300の詳細]
 図2に示すように、測定器300は、通信部310と歪み値算出部320とを備える。通信部310は、歪みセンサ200及び飼料管理装置100と通信を行う。例えば、測定器300は、歪みセンサ200によって検出された値(以下、センサデータとも称する)を、通信部310を介して取得する。センサデータは、例えば、歪みに応じた電気抵抗の値である。歪み値算出部320は、このような歪みに関するセンサデータに基づいて、部材に生じている歪みの値を示す歪み値を算出する。センサデータと歪み値との関係は、例えば、飼料タンクと支持部材との材質、形状または重量等から決定される。本実施形態において、センサデータと歪み値との関係は予め定められているものとする。そして、歪み値算出部320は、算出された歪み値を含む測定データを、通信部310を介して飼料管理装置100に送信する。このとき、測定データには、飼料タンクを識別する識別情報や、歪みセンサ200が歪みを検出した日時を示す検出日時情報が含まれてもよい。以降、歪みセンサ200が歪みを検出した日時を、検出日時とも称する。なお、通信部310の機能は、歪み値算出部320が備えていてもよい。
[Details of measuring instrument 300]
As shown in FIG. 2, the measuring instrument 300 includes a communication unit 310 and a strain value calculation unit 320. The communication unit 310 communicates with the strain sensor 200 and the feed management device 100. For example, the measuring instrument 300 acquires the value detected by the strain sensor 200 (hereinafter, also referred to as sensor data) via the communication unit 310. The sensor data is, for example, the value of electrical resistance according to the strain. The strain value calculation unit 320 calculates a strain value indicating the strain value generated in the member based on the sensor data related to such strain. The relationship between the sensor data and the strain value is determined, for example, from the material, shape, weight, etc. of the feed tank and the support member. In this embodiment, it is assumed that the relationship between the sensor data and the strain value is predetermined. Then, the strain value calculation unit 320 transmits the measurement data including the calculated strain value to the feed management device 100 via the communication unit 310. At this time, the measurement data may include identification information for identifying the feed tank and detection date and time information indicating the date and time when the strain sensor 200 detects the strain. Hereinafter, the date and time when the strain sensor 200 detects the strain is also referred to as a detection date and time. The function of the communication unit 310 may be provided by the distortion value calculation unit 320.
 測定器300は、例えば支持部材に取り付けられているが、測定器300の形態はこの例に限らない。例えば、測定器300は、歪みセンサ200と一体となって設置されていてもよい。また、測定器300は、飼料管理装置100に内蔵されていてもよい。 The measuring instrument 300 is attached to, for example, a support member, but the form of the measuring instrument 300 is not limited to this example. For example, the measuring instrument 300 may be installed integrally with the strain sensor 200. Further, the measuring instrument 300 may be built in the feed management device 100.
 [飼料管理装置100の詳細]
 図2に示すように、飼料管理装置100は、通信部110と、重量算出部120と、表示制御部130とを備える。通信部110は、測定器300及び情報処理端末400と通信を行う。例えば、飼料管理装置100は、歪み値を含む測定データを、通信部110を介して取得する。
[Details of feed management device 100]
As shown in FIG. 2, the feed management device 100 includes a communication unit 110, a weight calculation unit 120, and a display control unit 130. The communication unit 110 communicates with the measuring instrument 300 and the information processing terminal 400. For example, the feed management device 100 acquires measurement data including the strain value via the communication unit 110.
 重量算出部120は、測定データに含まれる歪み値に基づいて、飼料タンク内の飼料の重量を算出する。このとき、歪み値が大きいほど、算出される飼料の重量は大きくなる。このような、歪み値と飼料の重量との関係は、例えば、飼料タンクに保管される飼料の重量を変化させながら、出力される歪み値を取得することによって作成される。歪み値と飼料の重量との関係は、所定の関数によって表現されてもよい。なお、歪み値から飼料の重量を算出する手法は、この例に限らず、既存の手法を適宜採用することができる。本実施形態では、歪み値と飼料の重量との関係は予め定められているものとする。重量算出部120は、算出した重量を、測定データに含まれる、飼料タンクの識別情報及び検出日時情報と関連付けて記憶装置500に格納する。 The weight calculation unit 120 calculates the weight of the feed in the feed tank based on the strain value included in the measurement data. At this time, the larger the strain value, the larger the calculated weight of the feed. Such a relationship between the strain value and the weight of the feed is created, for example, by acquiring the output strain value while changing the weight of the feed stored in the feed tank. The relationship between the strain value and the weight of the feed may be expressed by a predetermined function. The method for calculating the weight of the feed from the strain value is not limited to this example, and an existing method can be appropriately adopted. In the present embodiment, it is assumed that the relationship between the strain value and the weight of the feed is predetermined. The weight calculation unit 120 stores the calculated weight in the storage device 500 in association with the feed tank identification information and the detection date / time information included in the measurement data.
 このように、重量算出部120は、飼料を保管する容器の表面または容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、飼料の重量を算出する。重量算出部120は、重量算出手段の一例である。 In this way, the weight calculation unit 120 calculates the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container. The weight calculation unit 120 is an example of the weight calculation means.
 表示制御部130は、重量算出部120によって算出された飼料の重量を、飼料タンクに保管されている飼料の残量として、通信部110を介して表示装置に表示させる。ここで、表示装置は、例えば、情報処理端末400に備えられるディスプレイである。情報処理端末400は、ネットワークを介して飼料管理装置100と通信するための入出力手段を備えた装置である。例えば、情報処理端末400は、パーソナルコンピュータであってもよいし、スマートフォンまたはタブレット端末等の携帯型の端末であってもよい。情報処理端末400は、例えば、畜産農家が使用可能な場所に設置される。また、情報処理端末400は、飼料会社や物流会社に設置されてもよい。 The display control unit 130 causes the display device to display the weight of the feed calculated by the weight calculation unit 120 as the remaining amount of the feed stored in the feed tank via the communication unit 110. Here, the display device is, for example, a display provided in the information processing terminal 400. The information processing terminal 400 is a device provided with input / output means for communicating with the feed management device 100 via a network. For example, the information processing terminal 400 may be a personal computer or a portable terminal such as a smartphone or a tablet terminal. The information processing terminal 400 is installed, for example, in a place where a livestock farmer can use it. Further, the information processing terminal 400 may be installed in a feed company or a distribution company.
 例えば、表示制御部130は、算出された飼料の重量の数値を飼料の残量として表示させてもよいし、算出された飼料の重量の、飼料タンクの容量に対する割合を、飼料の残量として表示させてもよい。ここで、飼料タンクの容量とは、例えば、飼料タンク一杯に飼料が満たされた時の飼料の重量である。また、飼料タンクの容量を示す情報は、例えば記憶装置500に、飼料タンクの識別情報とともに格納されている。 For example, the display control unit 130 may display the calculated numerical value of the weight of the feed as the remaining amount of the feed, or the ratio of the calculated weight of the feed to the capacity of the feed tank as the remaining amount of the feed. It may be displayed. Here, the capacity of the feed tank is, for example, the weight of the feed when the feed tank is filled with the feed. Further, the information indicating the capacity of the feed tank is stored in, for example, the storage device 500 together with the identification information of the feed tank.
 図3及び図4は、表示制御部130が表示させる飼料の残量の、表示態様の一例である。例えば図3に示すように、表示制御部130は、飼料タンクの容量を矩形で示し、飼料の重量に応じて矩形の内部を塗りつぶすことによって、飼料の残量を示してもよい。このとき、図4に示すように、表示制御部130は、飼料タンクの容量に応じて矩形の大きさを変えてもよいし、飼料タンクの容量に対する飼料の重量の割合に応じて塗りつぶす色やパターンを変えてもよい。図4の例では、飼料タンクの容量が大きいものほど、飼料タンクの容量を示す矩形の幅が大きく表示されている。また、容量に対する飼料の重量の割合に応じて、矩形を塗りつぶすパターンが異なって表示されている。例えば、図4では、容量が10トンの飼料タンクは、飼料の残量が20%未満となっていることが示されている。なお、飼料の残量の表示態様は、上述した例に限らない。例えば、表示制御部130は、飼料の重量の推移を折れ線グラフや棒グラフで示すことにより、飼料の残量を表示させてもよい。なお、表示装置が複数ある場合、すなわち、情報処理端末400が複数ある場合、表示制御部130は、情報処理端末400が設置される場所に応じて表示態様を変えてもよい。 3 and 4 are examples of display modes of the remaining amount of feed displayed by the display control unit 130. For example, as shown in FIG. 3, the display control unit 130 may indicate the capacity of the feed tank in a rectangular shape and fill the inside of the rectangular shape according to the weight of the feed to indicate the remaining amount of the feed. At this time, as shown in FIG. 4, the display control unit 130 may change the size of the rectangle according to the capacity of the feed tank, or the color to be filled according to the ratio of the weight of the feed to the capacity of the feed tank. You may change the pattern. In the example of FIG. 4, the larger the capacity of the feed tank, the larger the width of the rectangle indicating the capacity of the feed tank is displayed. In addition, the pattern for filling the rectangle is displayed differently according to the ratio of the weight of the feed to the volume. For example, FIG. 4 shows that a feed tank with a capacity of 10 tons has less than 20% of the remaining amount of feed. The display mode of the remaining amount of feed is not limited to the above-mentioned example. For example, the display control unit 130 may display the remaining amount of the feed by showing the transition of the weight of the feed with a line graph or a bar graph. When there are a plurality of display devices, that is, when there are a plurality of information processing terminals 400, the display control unit 130 may change the display mode according to the place where the information processing terminal 400 is installed.
 このように、表示制御部130は、算出された飼料の重量を表示装置に表示させる。表示制御部130は、表示制御手段の一例である。 In this way, the display control unit 130 causes the display device to display the calculated weight of the feed. The display control unit 130 is an example of the display control means.
 [飼料管理システム1000の動作]
 次に、飼料管理システム1000の動作を、図5及び図6を用いて説明する。なお、本明細書において、シーケンス図及びフローチャートの各ステップを「S101」のように、各々のステップに付した番号を用いて表現する。
[Operation of feed management system 1000]
Next, the operation of the feed management system 1000 will be described with reference to FIGS. 5 and 6. In this specification, each step of the sequence diagram and the flowchart is expressed by using the number assigned to each step as in "S101".
 図5は、飼料管理システム1000の動作の一例を示すシーケンス図である。本動作例では、歪みセンサ200が、飼料タンクを支持する支持部材の表面に取り付けられているとする。また、センサデータと歪み値との関係、及び歪み値と飼料の重量との関係は予め定められている。 FIG. 5 is a sequence diagram showing an example of the operation of the feed management system 1000. In this operation example, it is assumed that the strain sensor 200 is attached to the surface of the support member that supports the feed tank. Further, the relationship between the sensor data and the strain value and the relationship between the strain value and the weight of the feed are predetermined.
 まず、歪みセンサ200は、支持部材に生じている歪みを検出する(S101)。歪みセンサ200は、検出された値を示すセンサデータを測定器300に送信する(S102)。このとき送信されるセンサデータは、例えば、支持部材に生じている歪みによって伸縮した金属の電気抵抗の値である。測定器300は、通信部310を介して、歪みセンサ200によって検出されたセンサデータを取得する(S103)。歪み値算出部320は、センサデータに基づいて歪み値を算出する(S104)。そして、歪み値算出部320は、通信部310を介して、歪み値を含む測定データを飼料管理装置100に送信する(S105)。なお、測定器300は、測定データを常に飼料管理装置100に送信するよう設定されていてもよいし、所定の時間間隔で送信するよう設定されていてもよいし、歪み値に変化があったときに送信するよう設定されていてもよい。そして、飼料管理装置100は、通信部110を介して測定データを取得すると(S106)、飼料管理処理を行う(S107)。 First, the strain sensor 200 detects the strain occurring in the support member (S101). The strain sensor 200 transmits sensor data indicating the detected value to the measuring instrument 300 (S102). The sensor data transmitted at this time is, for example, the value of the electric resistance of the metal expanded and contracted due to the strain generated in the support member. The measuring instrument 300 acquires the sensor data detected by the strain sensor 200 via the communication unit 310 (S103). The strain value calculation unit 320 calculates the strain value based on the sensor data (S104). Then, the strain value calculation unit 320 transmits the measurement data including the strain value to the feed management device 100 via the communication unit 310 (S105). The measuring instrument 300 may be set to always transmit the measurement data to the feed management device 100, may be set to transmit the measurement data at predetermined time intervals, and the strain value has changed. It may be set to send at times. Then, when the feed management device 100 acquires the measurement data via the communication unit 110 (S106), the feed management device 100 performs the feed management process (S107).
 図6は、飼料管理装置100の飼料管理処理の動作を説明するフローチャートである。また、図6のフローチャートは、図5のS107の処理を示す。飼料管理装置100の重量算出部120は、測定データに含まれる歪み値に基づいて、飼料の重量を算出する(S201)。そして、表示制御部130は、通信部110を介して、飼料の重量を、飼料タンク内の飼料の残量として表示装置に表示させる(S202)。 FIG. 6 is a flowchart illustrating the operation of the feed management process of the feed management device 100. Further, the flowchart of FIG. 6 shows the process of S107 of FIG. The weight calculation unit 120 of the feed management device 100 calculates the weight of the feed based on the strain value included in the measurement data (S201). Then, the display control unit 130 causes the display device to display the weight of the feed as the remaining amount of the feed in the feed tank via the communication unit 110 (S202).
 以上のように、第1の実施形態の飼料管理装置100は、飼料を保管する容器の表面または容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、飼料の重量を算出し、算出された飼料の重量を表示装置に表示させる。これにより、飼料管理装置100は、ユーザに、飼料を保管する容器(すなわち飼料タンク)内の飼料の残量を把握させることができる。飼料会社が飼料の残量を正確に把握することができれば、飼料の生産計画を容易にたてることができるので、飼料の生産コストを低減させることができる。また、飼料会社が飼料の残量を正確に把握することができれば、効率的に配送の手配ができるので、飼料の配送コストを低減させたりすることができる。さらに、第1の実施形態において、歪みに関するセンサデータを検出するセンサが取り付けられる箇所は、容器の表面または支持部材の表面である。つまり、センサを設置する際に、飼料タンク及び支持部材を含む既存の設備を取り換える必要がないので、飼料管理装置100を導入する際の導入コストも抑えることができる。すなわち、第1の実施形態の飼料管理装置100は、飼料の供給にかかるコストを低減することができる。 As described above, the feed management device 100 of the first embodiment feeds based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container. The weight of the feed is calculated, and the calculated feed weight is displayed on the display device. As a result, the feed management device 100 allows the user to grasp the remaining amount of feed in the container (that is, the feed tank) for storing the feed. If the feed company can accurately grasp the remaining amount of feed, it is possible to easily make a feed production plan, and thus it is possible to reduce the feed production cost. Further, if the feed company can accurately grasp the remaining amount of the feed, it is possible to efficiently arrange the delivery, so that the delivery cost of the feed can be reduced. Further, in the first embodiment, the place where the sensor for detecting the sensor data regarding the strain is attached is the surface of the container or the surface of the support member. That is, when installing the sensor, it is not necessary to replace the existing equipment including the feed tank and the support member, so that the introduction cost when introducing the feed management device 100 can be suppressed. That is, the feed management device 100 of the first embodiment can reduce the cost of supplying feed.
 また、第1の実施形態の飼料管理装置100は、容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させることもできる。この構成により、飼料管理装置100は、容器に保管されている飼料の残量を、ユーザに容易に把握させることができる。 Further, the feed management device 100 of the first embodiment can change the display mode according to the capacity of the container and the weight of the feed, and display the weight of the feed on the display device. With this configuration, the feed management device 100 can easily make the user grasp the remaining amount of the feed stored in the container.
 <第2の実施形態>
 次に、第2の実施形態の飼料管理装置を含む飼料管理システムについて説明する。第2の実施形態では、飼料管理装置が、算出された飼料の重量に基づいて、将来の飼料の重量を予測することについて説明する。
<Second embodiment>
Next, a feed management system including the feed management device of the second embodiment will be described. In the second embodiment, it is described that the feed management device predicts the future weight of the feed based on the calculated weight of the feed.
 図7は、第2の実施形態の飼料管理システム1001の構成の一例を示すブロック図である。図7に示すように、飼料管理システム1001は、第1の実施形態における飼料管理装置100に代わり飼料管理装置101を備え、それ以外については、第1の実施形態で説明した飼料管理システム1000と同様である。すなわち、飼料管理システム1001は、飼料管理装置101と、歪みセンサ200と、測定器300とを備える。なお、図7に示す飼料管理システム1001の構成及び動作が、第1の実施形態の説明と重複する内容については説明を省略する。 FIG. 7 is a block diagram showing an example of the configuration of the feed management system 1001 of the second embodiment. As shown in FIG. 7, the feed management system 1001 includes a feed management device 101 in place of the feed management device 100 in the first embodiment, and other than that, the feed management system 1000 described in the first embodiment is used. The same is true. That is, the feed management system 1001 includes a feed management device 101, a strain sensor 200, and a measuring instrument 300. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1001 shown in FIG. 7 overlaps with the description of the first embodiment will be omitted.
 [飼料管理装置101の詳細]
 図7に示すように、飼料管理装置101は、通信部110と、重量算出部120と、表示制御部131と、予測部140とを備える。
[Details of feed management device 101]
As shown in FIG. 7, the feed management device 101 includes a communication unit 110, a weight calculation unit 120, a display control unit 131, and a prediction unit 140.
 予測部140は、重量算出部120によって算出された飼料の重量に基づいて、将来の時点を示す予測時点における飼料の重量を予測する。ここで、予測時点とは、例えば、1時間後、1日後、1年後といった、現在からの経過時間である。予測時点は、最新の検出日時から所定時間後の時点であってもよい。予測時点は、予め設定されている。以降、予測された飼料の重量を予測値とも称する。また、歪み値に基づいて算出された飼料の重量を実測値とも称する。 The prediction unit 140 predicts the weight of the feed at the prediction time point indicating a future time point based on the weight of the feed calculated by the weight calculation unit 120. Here, the predicted time point is the elapsed time from the present, for example, one hour later, one day later, and one year later. The predicted time point may be a time point after a predetermined time from the latest detection date and time. The prediction time point is set in advance. Hereinafter, the predicted weight of the feed is also referred to as a predicted value. Further, the weight of the feed calculated based on the strain value is also referred to as an actually measured value.
 そして、予測部140は、予測値を、予測時点の日時、及び測定データに含まれる飼料タンクの識別情報と関連付けて記憶装置500に格納する。例えば、予測部140は、記憶装置500から、過去に算出された飼料の重量(実測値)を読み出し、実測値の推移に基づいて、予測時点における飼料の重量を予測する。このとき、予測部140は、予め生成された予測モデルに基づいて、予測時点における飼料の重量を予測する。例えば、予測モデルは、所定期間内に算出された実測値と検出日時との関係から、飼料の重量を目的変数とし、基準となる時点からの時間を説明変数とした回帰分析が行われることにより導出された回帰式である。そして予測部140は、導出された回帰式を用いて予測時点における飼料の重量を予測する。 Then, the prediction unit 140 stores the predicted value in the storage device 500 in association with the date and time at the time of prediction and the identification information of the feed tank included in the measurement data. For example, the prediction unit 140 reads out the weight of the feed (measured value) calculated in the past from the storage device 500, and predicts the weight of the feed at the time of prediction based on the transition of the measured value. At this time, the prediction unit 140 predicts the weight of the feed at the time of prediction based on the prediction model generated in advance. For example, in the prediction model, regression analysis is performed using the weight of the feed as the objective variable and the time from the reference time as the explanatory variable based on the relationship between the measured value calculated within a predetermined period and the detection date and time. It is a derived regression equation. Then, the prediction unit 140 predicts the weight of the feed at the time of prediction using the derived regression equation.
 また、予測部140が予測時点の飼料の重量を予測する例はこの例に限らない。通常、家畜が飼料を食べる量が多くなると、飼料タンク内の飼料の減りは速くなり、家畜が飼料を食べる量が少なくなると、飼料タンク内の飼料の減りは遅くなる。そのため、予測モデルは、例えば、家畜が飼料を食べる行動に関連する要素と、飼料タンクにおける飼料の重量の実測値とを説明変数とし、予測時点の飼料の重量を目的変数とした回帰分析により生成されてもよい。家畜が飼料を食べる行動に関連する要素は、例えば、家畜に関する情報及び環境情報である。家畜に関する情報とは、家畜の種類、家畜の年齢、家畜の数、家畜の体重、家畜の病状、飼料の種類等である。また、環境情報とは、家畜がいる場所(例えば農場)の気温、湿度、雨量及び積雪量等を含む気象データである。また、予測部140は、家畜が飼料を食べる行動に関連する要素を示すデータと実測値とを訓練データとして、機械学習を実行することにより、入力されたデータに対応する予測時点の飼料の重量を出力してもよい。予測部140は、公知の機械学習アルゴリズムを用いて機械学習を実行する。公知の機械学習アルゴリズムは例えば、SVM(Support Vector Machine)、ニューラルネットワーク、ランダムフォレストである。予測モデルは、記憶装置500に格納される。また予測モデルは、予測部140によって生成されてもよい。 Further, the example in which the prediction unit 140 predicts the weight of the feed at the time of prediction is not limited to this example. Generally, when the amount of feed eaten by livestock is large, the amount of feed in the feed tank is reduced faster, and when the amount of feed consumed by livestock is small, the amount of feed in the feed tank is reduced slowly. Therefore, the prediction model is generated by regression analysis, for example, using the factors related to the behavior of livestock eating feed and the measured value of the weight of the feed in the feed tank as explanatory variables, and the weight of the feed at the time of prediction as the objective variable. May be done. Factors related to the behavior of livestock eating feed are, for example, information about livestock and environmental information. Information on livestock includes the type of livestock, the age of livestock, the number of livestock, the weight of livestock, the medical condition of livestock, the type of feed, and the like. Further, the environmental information is meteorological data including the temperature, humidity, rainfall, snowfall, etc. of the place where livestock are present (for example, a farm). In addition, the prediction unit 140 performs machine learning using data indicating elements related to the behavior of livestock eating feed and measured values as training data, and thereby, the weight of the feed at the time of prediction corresponding to the input data. May be output. The prediction unit 140 executes machine learning using a known machine learning algorithm. Known machine learning algorithms are, for example, SVMs (Support Vector Machines), neural networks, and random forests. The prediction model is stored in the storage device 500. Further, the prediction model may be generated by the prediction unit 140.
 予測部140は、このような予測モデルを用いる場合、予測モデルを記憶装置500から読み出し、重量算出部120によって算出された飼料の重量と、家畜に関する情報と、環境情報とを入力として、予測時点の飼料の重量を予測する。このとき、家畜に関する情報は、例えば情報処理端末400を通じて、畜産農家によって予め設定され、記憶装置500に格納されている。また、環境情報は、例えば、家畜がいる農場の位置情報に基づいて、図示しない外部のサーバ装置等から取得される。なお、農場の位置情報として、飼料タンクが設置されている場所を示す位置情報が用いられてもよい。農場の位置情報は、記憶装置500に、飼料タンクの識別情報に関連付けて予め格納されている。 When such a prediction model is used, the prediction unit 140 reads the prediction model from the storage device 500, inputs the feed weight calculated by the weight calculation unit 120, information on livestock, and environmental information as input, and makes a prediction time point. Predict the weight of the feed. At this time, the information about the livestock is preset by the livestock farmer and stored in the storage device 500, for example, through the information processing terminal 400. Further, the environmental information is acquired from an external server device or the like (not shown) based on the location information of the farm where the livestock is located, for example. In addition, as the position information of the farm, the position information indicating the place where the feed tank is installed may be used. The farm location information is stored in the storage device 500 in advance in association with the identification information of the feed tank.
 予測部140は、複数の予測時点における飼料の重量を予測してもよい。例えば、予測部140は、現在から6時間後、1日後、及び3日後の飼料の重量をそれぞれ予測してもよい。 The prediction unit 140 may predict the weight of the feed at a plurality of prediction time points. For example, the prediction unit 140 may predict the weight of the feed 6 hours, 1 day, and 3 days from the present, respectively.
 このように、予測部140は、算出された飼料の重量に基づいて、将来の時点を示す予測時点における飼料の重量を予測する。予測部140は、予測手段の一例である。 In this way, the prediction unit 140 predicts the weight of the feed at the prediction time point indicating the future time point based on the calculated weight of the feed. The prediction unit 140 is an example of a prediction means.
 表示制御部131は、第1の実施形態において説明した表示制御部130の動作に加え、次の動作を行う。すなわち、表示制御部131は、予測部140によって予測された飼料の重量を、通信部110を介して表示装置に表示させる。 The display control unit 131 performs the following operations in addition to the operations of the display control unit 130 described in the first embodiment. That is, the display control unit 131 causes the display device to display the weight of the feed predicted by the prediction unit 140 via the communication unit 110.
 [飼料管理システム1001の動作]
 次に飼料管理システム1001の動作を説明する。飼料管理システム1001は、図5に示すシーケンス図の、S101乃至S106の処理と同様の処理を行う。そして、飼料管理システム1001は、S107に示す飼料管理処理に代わり、図8に示す動作を行う。よって、本動作例では、図8を用いて、飼料管理装置101が、測定データを取得してから行う動作について説明する。
[Operation of feed management system 1001]
Next, the operation of the feed management system 1001 will be described. The feed management system 1001 performs the same processing as the processing of S101 to S106 in the sequence diagram shown in FIG. Then, the feed management system 1001 performs the operation shown in FIG. 8 instead of the feed management process shown in S107. Therefore, in this operation example, the operation performed after the feed management device 101 acquires the measurement data will be described with reference to FIG.
 図8は、飼料管理装置101の飼料管理処理の動作を説明するフローチャートである。飼料管理装置101の重量算出部120は、測定データに含まれる歪み値に基づいて、飼料の重量を算出する(S301)。予測部140は、算出された飼料の重量に基づいて、予測時点における飼料の重量を予測する(S302)。そして、表示制御部131は、予測された飼料の重量を、予測時点における飼料タンク内の飼料の残量として表示装置に表示させる(S303)。 FIG. 8 is a flowchart illustrating the operation of the feed management process of the feed management device 101. The weight calculation unit 120 of the feed management device 101 calculates the weight of the feed based on the strain value included in the measurement data (S301). The prediction unit 140 predicts the weight of the feed at the time of prediction based on the calculated weight of the feed (S302). Then, the display control unit 131 causes the display device to display the predicted weight of the feed as the remaining amount of the feed in the feed tank at the time of prediction (S303).
 このように、第2の実施形態の飼料管理装置101は、飼料を保管する容器の表面または容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、飼料の重量を算出する。そして、飼料管理装置101は、算出された飼料の重量に基づいて、将来の時点を示す予測時点における飼料の重量を予測する。これにより、飼料管理装置101は、予測時点における飼料を保管する容器(すなわち飼料タンク)内の飼料の残量を、表示装置に表示することができる。つまり、飼料管理装置101は、ユーザに、予測時点における飼料の残量を把握させることができる。そのため、例えば、畜産農家は、早期に飼料会社に飼料を発注することができる。飼料会社は、早期に飼料の生産計画をたてることができるので、飼料の生産コストを低減させることができる。また、第1の実施形態の飼料管理装置100と同様に、センサを設置する際に、飼料タンク及び支持部材を含む既存の設備を取り換える必要がないので、飼料管理装置101を導入する際の導入コストも抑えることができる。すなわち、第2の実施形態の飼料管理装置100は、飼料の供給にかかるコストを低減することができる。 As described above, the feed management device 101 of the second embodiment is based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container. Calculate the weight. Then, the feed management device 101 predicts the weight of the feed at the predicted time point indicating the future time point based on the calculated weight of the feed. As a result, the feed management device 101 can display the remaining amount of feed in the container (that is, the feed tank) for storing the feed at the time of prediction on the display device. That is, the feed management device 101 can make the user grasp the remaining amount of feed at the time of prediction. Therefore, for example, a livestock farmer can order feed from a feed company at an early stage. Since the feed company can make a feed production plan at an early stage, the feed production cost can be reduced. Further, as in the case of the feed management device 100 of the first embodiment, when installing the sensor, it is not necessary to replace the existing equipment including the feed tank and the support member, so that the introduction when introducing the feed management device 101 The cost can also be suppressed. That is, the feed management device 100 of the second embodiment can reduce the cost of supplying feed.
 また、第2の実施形態の飼料管理装置101は、飼料が給餌される家畜の種類、家畜の年齢、家畜の数、家畜の体重、家畜の病状、及び飼料の種類の少なくともいずれかを示す情報をさらに用いて、予測時点における飼料の重量を予測してもよい。飼料が給餌される家畜とは、飼料タンクが設置されている場所(例えば農園)において飼育される家畜である。さらに、飼料管理装置101は、飼料が給餌される家畜がいる場所の、気温、湿度、雨量及び積雪量の少なくともいずれかを示す情報をさらに用いて、予測時点における飼料の重量を予測してもよい。これにより、飼料管理装置101は、より正確に飼料の重量を予測することができる。 Further, the feed management device 101 of the second embodiment provides information indicating at least one of the type of livestock to which the feed is fed, the age of the livestock, the number of livestock, the weight of the livestock, the medical condition of the livestock, and the type of feed. Further may be used to predict the weight of feed at the time of prediction. The livestock to which the feed is fed is the livestock raised in the place where the feed tank is installed (for example, a farm). Further, the feed management device 101 may predict the weight of the feed at the time of prediction by further using the information indicating at least one of the temperature, humidity, rainfall, and snowfall in the place where the livestock to be fed is located. good. As a result, the feed management device 101 can predict the weight of the feed more accurately.
 [変形例1]
 飼料管理装置101は、入力された時点の情報に基づいて、飼料の重量を表示装置に表示させてもよい。
[Modification 1]
The feed management device 101 may display the weight of the feed on the display device based on the information at the time of input.
 飼料管理装置101は、情報処理端末400から、通信部110を介して時点の情報の入力を、S302の処理より前に予め受け付ける。入力された情報に示される時点が将来を示している場合、予測部140は、S302の処理を行う。具体的には、予測部140は、入力を受け付けた日時に最も近い検出日時で算出された飼料の重量に基づいて、入力された情報に示される時点における飼料の重量を予測する。すなわち、予測部140は、入力された情報に示される時点予測時点として飼料の重量を予測する。そして、表示制御部131は、予測された飼料の重量を、通信部110を介して表示装置に表示させる。 The feed management device 101 receives input of information at a time point from the information processing terminal 400 via the communication unit 110 in advance before the processing of S302. When the time point indicated in the input information indicates the future, the prediction unit 140 processes S302. Specifically, the prediction unit 140 predicts the weight of the feed at the time indicated in the input information based on the weight of the feed calculated at the detection date and time closest to the date and time when the input was received. That is, the prediction unit 140 predicts the weight of the feed as the time point prediction time point shown in the input information. Then, the display control unit 131 causes the display device to display the predicted weight of the feed via the communication unit 110.
 入力された情報に示される時点が、入力を受け付けた日時以前の時点を示している場合、表示制御部131が、S303の処理において、記憶装置500から、入力された情報に示される時点の日時と同じ検出日時に関連付けられた飼料の重量を読み出す。そして、表示制御部131は、読み出した飼料の重量を、通信部110を介して表示装置に表示させる。 When the time point indicated in the input information indicates a time point before the date and time when the input is received, the display control unit 131 performs the process of S303, the date and time at the time point indicated in the input information from the storage device 500. Read the weight of feed associated with the same detection date and time. Then, the display control unit 131 causes the display device to display the weight of the read feed via the communication unit 110.
 なお、表示制御部131は、入力された情報に示される時点の日時と同じ検出日時に関連付けられた飼料の重量が格納されていなかった場合、例えば、入力された情報に示される時点の日時に最も近い検出日時に関連付けられた飼料の重量を表示させる。また、この場合、表示制御部131は、入力された情報に示される時点の日時の直前及び直後において検出された飼料の重量の平均値を表示してもよい。 If the weight of the feed associated with the same detection date and time as the date and time indicated in the input information is not stored in the display control unit 131, for example, at the date and time indicated in the input information. Display the weight of feed associated with the closest detection date and time. Further, in this case, the display control unit 131 may display the average value of the weights of the feed detected immediately before and after the date and time indicated in the input information.
 <第3の実施形態>
 次に、第3の実施形態の飼料管理装置を含む飼料管理システムについて説明する。第3の実施形態では、飼料管理装置が、飼料の重量に応じた通知を送付することについて説明する。
<Third embodiment>
Next, a feed management system including the feed management device of the third embodiment will be described. In the third embodiment, it is described that the feed management device sends a notification according to the weight of the feed.
 図9は、第3の実施形態の飼料管理システム1002の構成の一例を示すブロック図である。図9に示すように、飼料管理システム1002は、第2の実施形態における飼料管理装置101に代わり飼料管理装置102を備え、それ以外については、第2の実施形態で説明した飼料管理システム1001と同様である。すなわち、飼料管理システム1002は、飼料管理装置102と、歪みセンサ200と、測定器300とを備える。なお、図9に示す飼料管理システム1002の構成及び動作が、第1及び第2の実施形態の説明と重複する内容については説明を省略する。 FIG. 9 is a block diagram showing an example of the configuration of the feed management system 1002 of the third embodiment. As shown in FIG. 9, the feed management system 1002 includes the feed management device 102 instead of the feed management device 101 in the second embodiment, and other than that, the feed management system 1001 described in the second embodiment and the feed management system 1001. The same is true. That is, the feed management system 1002 includes a feed management device 102, a strain sensor 200, and a measuring instrument 300. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1002 shown in FIG. 9 overlaps with the description of the first and second embodiments will be omitted.
 [飼料管理装置102の詳細]
 図9に示すように、飼料管理装置102は、通信部110と、重量算出部120と、表示制御部131と、予測部140と、通知部150とを備える。
[Details of feed management device 102]
As shown in FIG. 9, the feed management device 102 includes a communication unit 110, a weight calculation unit 120, a display control unit 131, a prediction unit 140, and a notification unit 150.
 通知部150は、飼料の重量に応じた通知を送付する。具体的には、通知部150は、予測部140によって予測された飼料の重量(予測値)が閾値未満である場合に、予測値が閾値未満であることを示す通知を情報処理端末400に送付し、情報処理端末400にその通知が送付されたことを示す情報を出力させる。例えば、通知部150は、情報処理端末400が備えるスピーカー、または情報処理端末400に接続されるスピーカーから音声を発生させる。なお、出力させる情報は音声に限らない。例えば、通知部150は、予測値が閾値未満であることを表す文字や画像を強調して表示装置に表示させてもよい。また、通知部150は、情報処理端末400と異なる端末に、予測値が閾値未満であることを示す通知を送付してもよい。例えば、通知部150は、情報処理端末400がパーソナルコンピュータである場合に、ユーザが所持している携帯端末に通知を送付してもよい。ここで、閾値は予め設定されている。閾値は、例えば、飼料タンクの容量に対する飼料の重量の割合が定められてもよい。 The notification unit 150 sends a notification according to the weight of the feed. Specifically, the notification unit 150 sends a notification indicating that the predicted value is less than the threshold value to the information processing terminal 400 when the weight (predicted value) of the feed predicted by the prediction unit 140 is less than the threshold value. Then, the information processing terminal 400 is made to output the information indicating that the notification has been sent. For example, the notification unit 150 generates voice from a speaker included in the information processing terminal 400 or a speaker connected to the information processing terminal 400. The information to be output is not limited to voice. For example, the notification unit 150 may emphasize a character or an image indicating that the predicted value is less than the threshold value and display it on the display device. Further, the notification unit 150 may send a notification indicating that the predicted value is less than the threshold value to a terminal different from the information processing terminal 400. For example, when the information processing terminal 400 is a personal computer, the notification unit 150 may send a notification to a mobile terminal owned by the user. Here, the threshold value is set in advance. The threshold value may be determined, for example, as the ratio of the weight of the feed to the capacity of the feed tank.
 このように、通知部150は、予測された飼料の重量が閾値未満のとき、予測された飼料の重量が閾値未満であることを示す通知を送付する。通知部150は、通知手段の一例である。 As described above, when the predicted feed weight is less than the threshold value, the notification unit 150 sends a notification indicating that the predicted feed weight is less than the threshold value. The notification unit 150 is an example of notification means.
 [飼料管理システム1002の動作]
 次に飼料管理システム1001の動作を説明する。飼料管理システム1001は、図5に示すシーケンス図の、S101乃至S106の処理と同様の処理を行う。そして、飼料管理システム1001は、S107に示す飼料管理処理に代わり、図10に示す動作を行う。よって、本動作例では、図10を用いて、飼料管理装置102が、測定データを取得してから行う動作について説明する。
[Operation of feed management system 1002]
Next, the operation of the feed management system 1001 will be described. The feed management system 1001 performs the same processing as the processing of S101 to S106 in the sequence diagram shown in FIG. Then, the feed management system 1001 performs the operation shown in FIG. 10 instead of the feed management process shown in S107. Therefore, in this operation example, the operation performed after the feed management device 102 acquires the measurement data will be described with reference to FIG.
 図10は、飼料管理装置102の飼料管理処理の動作を説明するフローチャートである。図10に示すS301乃至S303の処理は、図8に示すS301乃至S303の処理と同様であるので、説明を省略する。S303の処理の後、通知部150は、予測された飼料の重量が閾値未満であるか判断する。予測された飼料の重量が閾値未満である場合(S304のYes)、通知部150は、予測された飼料の重量が閾値未満である通知を送付する(S305)。例えば、情報処理端末400が備えるスピーカーから音声を発生させる。予測された飼料の重量が閾値未満でない場合(S304のNo)、飼料管理装置102は処理を終了する。なお、S304及びS305の処理は、S303の前に行われてもよい。その場合、S304のNoの処理が行われた後、またはS305の処理が行われた後にS303の処理を行う。 FIG. 10 is a flowchart illustrating the operation of the feed management process of the feed management device 102. Since the processing of S301 to S303 shown in FIG. 10 is the same as the processing of S301 to S303 shown in FIG. 8, the description thereof will be omitted. After processing S303, the notification unit 150 determines if the predicted feed weight is below the threshold. If the predicted feed weight is less than the threshold (Yes in S304), the notification unit 150 sends a notification that the predicted feed weight is less than the threshold (S305). For example, the sound is generated from the speaker provided in the information processing terminal 400. If the predicted feed weight is not less than the threshold (No in S304), the feed management device 102 ends the process. The processing of S304 and S305 may be performed before S303. In that case, the processing of S303 is performed after the processing of No. of S304 is performed or after the processing of S305 is performed.
 このように、第3の実施形態の飼料管理装置102は、予測された飼料の重量が閾値未満のとき、予測された飼料の重量が閾値未満であることを示す通知を送付する。これにより、飼料管理装置102は、例えば、飼料が少なくなりそうなことを、ユーザに早期に把握させることができる。 As described above, when the predicted feed weight is less than the threshold value, the feed management device 102 of the third embodiment sends a notification indicating that the predicted feed weight is less than the threshold value. As a result, the feed management device 102 can make the user know at an early stage that the feed is likely to be low, for example.
 [変形例2]
 通知部150は、重量算出部120によって算出された飼料の重量に応じた通知を送付してもよい。例えば、通知部150は、算出された飼料の重量(実測値)が閾値未満である場合に、実測値が閾値未満であることを示す通知を情報処理端末400に送付し、情報処理端末400にその通知が送付されたことを示す情報を出力させてもよい。
[Modification 2]
The notification unit 150 may send a notification according to the weight of the feed calculated by the weight calculation unit 120. For example, when the calculated feed weight (measured value) is less than the threshold value, the notification unit 150 sends a notification indicating that the measured value is less than the threshold value to the information processing terminal 400, and sends the information processing terminal 400 to the information processing terminal 400. Information indicating that the notification has been sent may be output.
 <第4の実施形態>
 次に、第4の実施形態の飼料管理装置を含む飼料管理システムについて説明する。第4の実施形態では、飼料タンクが複数の場所に設置されている場合の飼料管理装置の動作について説明する。
<Fourth Embodiment>
Next, a feed management system including the feed management device of the fourth embodiment will be described. In the fourth embodiment, the operation of the feed management device when the feed tanks are installed at a plurality of places will be described.
 図11は、第4の実施形態の飼料管理システム1003の構成の一例を示すブロック図である。図11に示すように、飼料管理システム1003は、飼料管理装置103と、歪みセンサ200-1、200-2、・・・、200-nと、測定器300-1、300-2、・・・、300-nとを備える。なお、nは2以上の自然数である。歪みセンサ200-1、200-2、・・・、200-nの各々は、互いに異なる場所に設置された飼料タンクに取り付けられ、第1の実施形態で説明した歪みセンサ200と同様の処理を行う。よって、歪みセンサ200-1、200-2、・・・、200-nをまとめて歪みセンサ200とも称する。また、測定器300-1、300-2、・・・、300-nの各々は、歪みセンサ200-1、200-2、・・・、200-nの各々に接続され、第1の実施形態で説明した測定器300と同様の処理を行う。よって、測定器300-1、300-2、・・・、300-nをまとめて測定器300とも称する。なお、図11に示す飼料管理システム1003の構成及び動作が、第1、第2及び第3の実施形態の説明と重複する内容については説明を省略する。 FIG. 11 is a block diagram showing an example of the configuration of the feed management system 1003 according to the fourth embodiment. As shown in FIG. 11, the feed management system 1003 includes a feed management device 103, strain sensors 200-1, 200-2, ..., 200-n, and measuring instruments 300-1, 300-2, ... -With 300-n. Note that n is a natural number of 2 or more. Each of the strain sensors 200-1, 200-2, ..., 200-n is attached to a feed tank installed at a different place from each other, and performs the same processing as the strain sensor 200 described in the first embodiment. conduct. Therefore, the strain sensors 200-1, 200-2, ..., 200-n are collectively referred to as the strain sensor 200. Further, each of the measuring instruments 300-1, 300-2, ..., 300-n is connected to each of the strain sensors 200-1, 200-2, ..., 200-n, and the first embodiment is performed. The same processing as that of the measuring instrument 300 described in the embodiment is performed. Therefore, the measuring instruments 300-1, 300-2, ..., 300-n are collectively referred to as the measuring instrument 300. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1003 shown in FIG. 11 overlaps with the description of the first, second and third embodiments will be omitted.
 [飼料管理装置103の詳細]
 図11に示すように、飼料管理装置103は、通信部110と、重量算出部121と、表示制御部132と、予測部141と、通知部151とを備える。なお、重量算出部121と、表示制御部132と、予測部141とのそれぞれは、第3の実施形態において説明した重量算出部120と、表示制御部131と、予測部141と、通知部151とのそれぞれの動作に加え、以下に説明する動作を行う。
[Details of feed management device 103]
As shown in FIG. 11, the feed management device 103 includes a communication unit 110, a weight calculation unit 121, a display control unit 132, a prediction unit 141, and a notification unit 151. The weight calculation unit 121, the display control unit 132, and the prediction unit 141 each have the weight calculation unit 120, the display control unit 131, the prediction unit 141, and the notification unit 151 described in the third embodiment. In addition to each of the operations described below, the operations described below are performed.
 重量算出部121は、測定器300の各々から取得した測定データに含まれる歪み値に基づいて、各々の飼料タンク内の飼料の重量(すなわち、実測値)を算出する。そして、重量算出部121は、各々の測定データに含まれる飼料タンクの識別情報ごとに、実測値と検出日時情報とを関連付けて記憶装置500に格納する。 The weight calculation unit 121 calculates the weight of the feed in each feed tank (that is, the measured value) based on the strain value included in the measurement data acquired from each of the measuring instruments 300. Then, the weight calculation unit 121 stores the actually measured value and the detection date / time information in the storage device 500 for each identification information of the feed tank included in each measurement data.
 予測部141は、重量算出部121によって算出された実測値の各々に基づいて、予測時点における、各々の飼料タンク内の飼料の重量(すなわち、予測値)を予測する。例えば、歪みセンサ200-1によって検出された歪みに基づいて算出された実測値に対しては、予測部141は、歪みセンサ200-1が取り付けられた飼料タンク内の、予測時点における飼料の重量を予測する。このとき、予測モデルに基づいて飼料の重量を予測する場合、予測部141は、歪みセンサ200-1が取り付けられた飼料タンクが設置されている場所において飼育される、家畜に関する情報、及び、当該飼料タンクが設置された農場における環境情報を用いる。そして、予測部141は、飼料タンクの識別情報ごとに、予測値と予測時点の日時情報とを関連付けて記憶装置500に格納する。 The prediction unit 141 predicts the weight of the feed in each feed tank (that is, the predicted value) at the time of prediction based on each of the actually measured values calculated by the weight calculation unit 121. For example, with respect to the measured value calculated based on the strain detected by the strain sensor 200-1, the prediction unit 141 indicates the weight of the feed at the time of prediction in the feed tank to which the strain sensor 200-1 is attached. Predict. At this time, when predicting the weight of the feed based on the prediction model, the prediction unit 141 provides information on the livestock raised in the place where the feed tank to which the strain sensor 200-1 is installed is installed, and the relevant information. Use environmental information on the farm where the feed tank is installed. Then, the prediction unit 141 stores the predicted value and the date and time information at the time of prediction in the storage device 500 in association with each identification information of the feed tank.
 表示制御部132は、予測部141によって予測された飼料の重量の各々を、各々の飼料タンク内の飼料の残量として、通信部110を介して表示装置に表示させる。このとき、表示制御部132は、表示させる飼料の重量の各々を、各々の飼料タンクが設置されている農場の位置情報と関連付けて表示させてもよい。例えば、表示制御部132は、表示させる飼料の重量の各々を、各々の飼料タンクが設置されている農場の位置情報に基づいて、地図上の対応する位置に表示させてもよい。地図情報は、予め記憶装置500に格納される。表示制御部132は、図示しない外部のサーバ装置から地図情報を取得してもよい。 The display control unit 132 causes the display device to display each of the weights of the feed predicted by the prediction unit 141 as the remaining amount of feed in each feed tank via the communication unit 110. At this time, the display control unit 132 may display each of the weights of the feed to be displayed in association with the position information of the farm where each feed tank is installed. For example, the display control unit 132 may display each of the weights of the feed to be displayed at the corresponding positions on the map based on the position information of the farm where each feed tank is installed. The map information is stored in the storage device 500 in advance. The display control unit 132 may acquire map information from an external server device (not shown).
 図12は、表示制御部132が表示させる飼料の重量の表示態様の一例である。図12では、最新の検出日時から地図上の、各飼料タンクが設置されている農場の位置に、図3及び図4で示した矩形が重畳されている。また、図4で示したように、飼料タンクの容量に応じて矩形の幅が大きく表示され、飼料の重量(予測値)に応じて矩形の内部を塗りつぶす割合を変えている。また、容量に対する予測値の割合に応じて、矩形を塗りつぶすパターンが異なって表示されている。例えば、図12において、「農場A」の飼料タンクは、容量が「3トン」に対し「20%以上50%未満」の飼料が残っていることがわかる。なお、表示態様はこの例に限らず、例えば、図12の例に、飼料の重量を示す数値をさらに重畳させて表示させてもよいし、ユーザが入力デバイスによって矩形を操作することで飼料の重量を示す数値を出力するように表示させてもよい。 FIG. 12 is an example of a display mode of the weight of the feed displayed by the display control unit 132. In FIG. 12, the rectangles shown in FIGS. 3 and 4 are superimposed on the position of the farm where each feed tank is installed on the map from the latest detection date and time. Further, as shown in FIG. 4, the width of the rectangle is displayed large according to the capacity of the feed tank, and the ratio of filling the inside of the rectangle is changed according to the weight (predicted value) of the feed. In addition, the pattern for filling the rectangle is displayed differently according to the ratio of the predicted value to the capacity. For example, in FIG. 12, it can be seen that the feed tank of "farm A" has a capacity of "3 tons" and "20% or more and less than 50%" of feed remains. The display mode is not limited to this example, and for example, a numerical value indicating the weight of the feed may be further superimposed and displayed on the example of FIG. 12, and the user operates the rectangle with the input device to display the feed. It may be displayed so as to output a numerical value indicating the weight.
 通知部151は、予測時点における、各々の飼料タンク内の飼料の重量に応じて通知を情報処理端末400に送付する。例えば、通知部151は、各々の飼料タンクにおける予測値のうち、いずれかが閾値未満である場合に通知を送付する。このとき、各々の飼料タンクに対して同じ閾値が定められていてもよいし、各々の飼料タンクに対して異なる閾値が定められていてもよい。なお、通知部151は、各々の飼料タンクにおける予測値のうち、2以上の予測値が閾値未満である場合に通知を送付してもよい。 The notification unit 151 sends a notification to the information processing terminal 400 according to the weight of the feed in each feed tank at the time of prediction. For example, the notification unit 151 sends a notification when any of the predicted values in each feed tank is less than the threshold value. At this time, the same threshold value may be set for each feed tank, or different threshold values may be set for each feed tank. The notification unit 151 may send a notification when two or more predicted values among the predicted values in each feed tank are less than the threshold value.
 [飼料管理システム1003の動作]
 次に飼料管理システム1003の動作を説明する。歪みセンサ200の各々は、図5に示すシーケンス図の、S101及びS102の処理と同様の処理を行う。また、測定器300の各々は、図5に示すシーケンス図の、S103乃至S105の処理と同様の処理を行う。よって、歪みセンサ200及び測定器300の各々の動作の説明を省略する。本動作例では、図13を用いて、飼料管理装置103の動作について説明する。
[Operation of feed management system 1003]
Next, the operation of the feed management system 1003 will be described. Each of the strain sensors 200 performs the same processing as the processing of S101 and S102 in the sequence diagram shown in FIG. Further, each of the measuring instruments 300 performs the same processing as the processing of S103 to S105 in the sequence diagram shown in FIG. Therefore, the description of each operation of the strain sensor 200 and the measuring instrument 300 will be omitted. In this operation example, the operation of the feed management device 103 will be described with reference to FIG.
 図13は、飼料管理装置103の動作を説明するフローチャートである。飼料管理装置103は、通信部110を介して、測定器300の各々から測定データを取得する(S401)。重量算出部121は、各々の測定データに含まれる歪み値に基づいて、各々の飼料タンク内の飼料の重量を算出する(S402)。予測部140は、算出された飼料の重量の各々に基づいて、予測時点における、各々の飼料タンク内の飼料の重量を予測する(S403)。表示制御部132は、予測された飼料の重量の各々を、予測時点における、各々の飼料タンク内の飼料の残量として表示装置に表示させる(S404)。このとき、表示制御部132は、例えば、表示させる飼料の重量の各々を、各々の飼料タンクが設置されている農場の位置情報と関連付けて表示させる。通知部151は、予測された飼料の重量のいずれかが閾値未満である場合(S405のYes)、予測された飼料の重量のいずれかが閾値未満であることを示す通知を送付する(S406)。予測された飼料の重量がいずれも閾値未満でない場合(S405のNo)、飼料管理装置103は処理を終了する。 FIG. 13 is a flowchart illustrating the operation of the feed management device 103. The feed management device 103 acquires measurement data from each of the measuring instruments 300 via the communication unit 110 (S401). The weight calculation unit 121 calculates the weight of the feed in each feed tank based on the strain value included in each measurement data (S402). The prediction unit 140 predicts the weight of the feed in each feed tank at the time of prediction based on each of the calculated weights of the feed (S403). The display control unit 132 causes the display device to display each of the predicted feed weights as the remaining amount of feed in each feed tank at the time of prediction (S404). At this time, the display control unit 132 displays, for example, each of the weights of the feed to be displayed in association with the position information of the farm where each feed tank is installed. If any of the predicted feed weights is below the threshold (Yes in S405), the notification unit 151 sends a notification indicating that any of the predicted feed weights is below the threshold (S406). .. If none of the predicted feed weights are below the threshold (No in S405), the feed management device 103 ends the process.
 このように、第3の実施形態の飼料管理装置103は、複数の場所のそれぞれに容器が設置される場合に、容器の各々に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、容器の各々に保管されている飼料の重量を算出し、算出された前記飼料の重量の各々に基づいて、予測時点における、前記容器の各々に保管されている前記飼料の重量を予測する。これにより、飼料管理装置103は、飼料を保管する容器(すなわち飼料タンク)が複数の場所に設置された場合であっても、予測時点における容器内の飼料の残量の各々を、表示装置に表示することができる。そのため、例えば、飼料会社は、複数の場所に設置された容器のうち、どの容器において飼料の供給が必要かを早期に把握することができるので、効率的に飼料の配送の手配を行うことができる。すなわち、第3の実施形態の飼料管理装置103は、飼料の供給にかかるコストを低減させることができる。 As described above, the feed management device 103 of the third embodiment is based on the sensor data regarding the strain detected by the sensor attached to each of the containers when the containers are installed in each of the plurality of places. The weight of the feed stored in each of the containers is calculated, and the weight of the feed stored in each of the containers at the time of prediction is predicted based on each of the calculated weights of the feed. As a result, the feed management device 103 displays each of the remaining amount of feed in the container at the time of prediction on the display device even when the containers for storing the feed (that is, the feed tank) are installed in a plurality of places. Can be displayed. Therefore, for example, a feed company can grasp at an early stage which of the containers installed in a plurality of places needs to be supplied with feed, so that it is possible to efficiently arrange the delivery of feed. can. That is, the feed management device 103 of the third embodiment can reduce the cost of supplying feed.
 [変形例3]
 表示制御部132は、重量算出部121によって算出された、各々の飼料タンク内の飼料の重量(すなわち実測値)を表示してもよい。例えば、飼料管理装置103は、S402の処理の後に、S403及びS404の処理に代わり以下のような動作を行う。すなわち、表示制御部132が、実測値の各々を、各々の飼料タンク内の残量として表示装置に表示させる。
[Modification 3]
The display control unit 132 may display the weight (that is, the measured value) of the feed in each feed tank calculated by the weight calculation unit 121. For example, the feed management device 103 performs the following operations in place of the processing of S403 and S404 after the processing of S402. That is, the display control unit 132 causes the display device to display each of the actually measured values as the remaining amount in each feed tank.
 このように、変形例3における飼料管理装置103は、複数の場所のそれぞれに容器が設置される場合に、容器の各々に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、容器の各々に保管されている飼料の重量を算出し、容器の各々に保管されている飼料の重量を、表示装置に表示させる。これにより、変形例3における飼料管理装置103は、例えば、飼料会社に、複数の場所に設置された容器のうち、どの容器において飼料の供給が必要かを把握させることができるので、飼料の供給に係るコストを低減させることができる。 As described above, when the container is installed in each of the plurality of places, the feed management device 103 in the modification 3 is based on the sensor data regarding the strain detected by the sensor attached to each of the containers. The weight of the feed stored in each is calculated, and the weight of the feed stored in each of the containers is displayed on the display device. As a result, the feed management device 103 in the third modification can, for example, make the feed company know in which of the containers installed at the plurality of locations the feed needs to be supplied, so that the feed can be supplied. It is possible to reduce the cost related to.
 また、変形例3において、通知部151は、重量算出部121によって算出された飼料の重量に応じた通知を送付してもよい。 Further, in the modification 3, the notification unit 151 may send a notification according to the weight of the feed calculated by the weight calculation unit 121.
 <第5の実施形態>
 次に、第5の実施形態の飼料管理装置を含む飼料管理システムについて説明する。第5の実施形態では、飼料管理装置が飼料を配送するための配送ルートを決定する例について説明する。
<Fifth Embodiment>
Next, a feed management system including the feed management device of the fifth embodiment will be described. In the fifth embodiment, an example in which the feed management device determines a delivery route for delivering the feed will be described.
 図14は、第5の実施形態の飼料管理システム1004の構成の一例を示すブロック図である。図14に示すように、飼料管理システム1004は、第4の実施形態における飼料管理装置103に代わり飼料管理装置104を備え、それ以外については、第4の実施形態で説明した飼料管理システム1003と同様である。すなわち、飼料管理システム1004は、飼料管理装置104と、歪みセンサ200-1、200-2、・・・、200-nと、測定器300-1、300-2、・・・、300-nとを備える。なお、図14に示す飼料管理システム1004の構成及び動作が、第1乃至第4の実施形態の説明と重複する内容については説明を省略する。 FIG. 14 is a block diagram showing an example of the configuration of the feed management system 1004 according to the fifth embodiment. As shown in FIG. 14, the feed management system 1004 includes the feed management device 104 instead of the feed management device 103 in the fourth embodiment, and other than that, the feed management system 1003 described in the fourth embodiment and the feed management system 1003. The same is true. That is, the feed management system 1004 includes the feed management device 104, strain sensors 200-1, 200-2, ..., 200-n, and measuring instruments 300-1, 300-2, ..., 300-n. And prepare. It should be noted that the description of the contents in which the configuration and operation of the feed management system 1004 shown in FIG. 14 overlaps with the description of the first to fourth embodiments will be omitted.
 [飼料管理装置104の詳細]
 図14に示すように、飼料管理装置104は、通信部110と、重量算出部121と、表示制御部133と、予測部141と、供給量算出部160と、配送ルート決定部170とを備える。なお、表示制御部133は、第4の実施形態において説明した表示制御部132の動作に加え、以下に説明する動作を行う。
[Details of feed management device 104]
As shown in FIG. 14, the feed management device 104 includes a communication unit 110, a weight calculation unit 121, a display control unit 133, a prediction unit 141, a supply amount calculation unit 160, and a delivery route determination unit 170. .. In addition to the operation of the display control unit 132 described in the fourth embodiment, the display control unit 133 performs the operation described below.
 供給量算出部160は、飼料の重量に基づいて、飼料タンクに供給が必要な飼料の重量を算出する。以降、供給が必要な飼料の重量を「供給量」とも称する。具体的には、供給量算出部160は、実測値が閾値未満である場合、飼料タンクの容量と実測値とから、供給が必要な飼料の重量を算出する。例えば、飼料タンクの容量が10トン、実測値が1トン、閾値が2トンであるとする。この場合、供給量算出部160は、実測値が閾値未満であると判断し、供給が必要な飼料の重量として9トンを算出する。このように、供給量算出部160は、飼料の重量に基づいて、容器に供給が必要な飼料の重量を算出する。供給量算出部160は、供給量算出手段の一例である。 The supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied to the feed tank based on the weight of the feed. Hereinafter, the weight of the feed that needs to be supplied is also referred to as "supply amount". Specifically, when the measured value is less than the threshold value, the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied from the capacity of the feed tank and the measured value. For example, assume that the capacity of the feed tank is 10 tons, the measured value is 1 ton, and the threshold value is 2 tons. In this case, the supply amount calculation unit 160 determines that the measured value is less than the threshold value, and calculates 9 tons as the weight of the feed that needs to be supplied. In this way, the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied to the container based on the weight of the feed. The supply amount calculation unit 160 is an example of the supply amount calculation means.
 また、供給量算出部160は、予測時点における飼料の重量、すなわち、予測部141によって予測された飼料の重量を用いて、供給量を算出してもよい。具体的には、予測値が閾値未満である場合、飼料タンクの容量と予測値とから、供給量を算出する。例えば、飼料タンクの容量が10トン、実測値が3トン、予測値が1トン、閾値が2トンであるとする。この場合、供給量算出部160は、実測値は閾値以上であるものの、予測値が閾値未満のため、供給量として9トンを算出する。このように、供給量算出部160は、予測された飼料の重量に基づいて、容器に供給が必要な飼料の重量を算出する。 Further, the supply amount calculation unit 160 may calculate the supply amount using the weight of the feed at the time of prediction, that is, the weight of the feed predicted by the prediction unit 141. Specifically, when the predicted value is less than the threshold value, the supply amount is calculated from the capacity of the feed tank and the predicted value. For example, assume that the capacity of the feed tank is 10 tons, the measured value is 3 tons, the predicted value is 1 ton, and the threshold value is 2 tons. In this case, the supply amount calculation unit 160 calculates 9 tons as the supply amount because the measured value is equal to or more than the threshold value but the predicted value is less than the threshold value. In this way, the supply amount calculation unit 160 calculates the weight of the feed that needs to be supplied to the container based on the predicted weight of the feed.
 供給量算出部160は、実測値または予測値に基づいて算出した供給量と、飼料タンクの識別情報とを関連付けて記憶装置500に格納する。供給量算出部160が、供給量を実測値に基づいて決定するか、予測値に基づいて決定するかは、例えば、ユーザにより、情報処理端末400を通じて入力された時点の情報に基づいて定められる。具体的には、供給量算出部160は、その時点が将来を示す場合、供給量を予測値に基づいて算出し、その時点が将来を示していない場合、供給量をその時点が示す日時の実測値に基づいて算出する。 The supply amount calculation unit 160 stores the supply amount calculated based on the actually measured value or the predicted value in the storage device 500 in association with the identification information of the feed tank. Whether the supply amount calculation unit 160 determines the supply amount based on the actually measured value or the predicted value is determined, for example, based on the information at the time input by the user through the information processing terminal 400. .. Specifically, the supply amount calculation unit 160 calculates the supply amount based on the predicted value when the time point indicates the future, and when the time point does not indicate the future, the supply amount is the date and time indicated by the time point. Calculated based on the measured value.
 配送ルート決定部170は、飼料を配送するための配送ルートを決定する。例えば、配送ルート決定部170は、実測値が閾値未満である飼料タンクの位置情報を記憶装置500から読み出す。配送ルート決定部170は、実測値が閾値未満である飼料タンクの設置された位置、すなわち読み出した位置情報が示す位置を配送先に設定する。そして、配送ルート決定部170は、地図情報を用いて、飼料を配送する出発地点(例えば、飼料会社、飼料会社の所有する飼料倉庫、及び物流会社の所有する車両がある地点等)から配送先を巡回する配送ルートを決定する。実測値が閾値未満である飼料タンクが複数ある場合、配送ルート決定部170は、実測値が閾値未満である飼料タンクの設置された位置のそれぞれを配送先に設定する。そして、配送ルート決定部170は、出発地点から、配送先の各々を巡回する配送ルートを決定する。このように、配送ルート決定部170は、飼料の重量が閾値未満の容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定する。配送ルート決定部170は、配送ルート決定手段の一例である。 The delivery route determination unit 170 determines the delivery route for delivering the feed. For example, the delivery route determination unit 170 reads out the position information of the feed tank whose actually measured value is less than the threshold value from the storage device 500. The delivery route determination unit 170 sets the position where the feed tank whose actual measurement value is less than the threshold value is installed, that is, the position indicated by the read position information as the delivery destination. Then, the delivery route determination unit 170 uses the map information to deliver the feed from the starting point (for example, the feed company, the feed warehouse owned by the feed company, the point where the vehicle owned by the distribution company is located, etc.) to the delivery destination. Determine the delivery route to go around. When there are a plurality of feed tanks whose actually measured values are less than the threshold value, the delivery route determination unit 170 sets each of the installed positions of the feed tanks whose actually measured values are less than the threshold value as the delivery destination. Then, the delivery route determination unit 170 determines a delivery route that patrols each of the delivery destinations from the departure point. In this way, the delivery route determination unit 170 determines the delivery route that patrols the delivery destination, with the position where the container in which the weight of the feed is less than the threshold value is installed as the delivery destination. The delivery route determination unit 170 is an example of the delivery route determination means.
 配送ルート決定部170は、予測値を用いて配送ルートを決定してもよい。例えば、配送ルート決定部170は、予測値が閾値未満である飼料タンクの位置情報を記憶装置500から読み出す。配送ルート決定部170は、予測値が閾値未満である飼料タンクの設置された位置、すなわち読み出した位置情報が示す位置を配送先に設定する。そして、配送ルート決定部170は、地図情報を用いて、飼料を配送する出発地点から配送先を巡回する配送ルートを決定する。予測値が閾値未満である飼料タンクが複数ある場合、配送ルート決定部170は、予測値が閾値未満である飼料タンクの設置された位置のそれぞれを配送先に設定する。そして、配送ルート決定部170は、出発地点から、配送先の各々を巡回する配送ルートを決定する。このように、配送ルート決定部170は、予測された飼料の重量が閾値未満の容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定する。 The delivery route determination unit 170 may determine the delivery route using the predicted value. For example, the delivery route determination unit 170 reads the position information of the feed tank whose predicted value is less than the threshold value from the storage device 500. The delivery route determination unit 170 sets the position where the feed tank whose predicted value is less than the threshold value is installed, that is, the position indicated by the read position information as the delivery destination. Then, the delivery route determination unit 170 determines a delivery route that patrols the delivery destination from the departure point where the feed is delivered, using the map information. When there are a plurality of feed tanks whose predicted value is less than the threshold value, the delivery route determination unit 170 sets each of the installed positions of the feed tanks whose predicted value is less than the threshold value as the delivery destination. Then, the delivery route determination unit 170 determines a delivery route that patrols each of the delivery destinations from the departure point. In this way, the delivery route determination unit 170 determines the delivery route that patrols the delivery destination, with the position where the container in which the predicted feed weight is less than the threshold value is installed as the delivery destination.
 配送ルート決定部170が、供給量を実測値に基づいて決定するか、予測値に基づいて決定するかは、例えば、ユーザにより、情報処理端末400を通じて入力された時点の情報に基づいて定められる。具体的には、配送ルート決定部170は、その時点が将来を示す場合、配送ルートを予測値に基づいて決定し、その時点が将来を示していない場合、配送ルートをその時点が示す日時の実測値に基づいて決定する。 Whether the delivery route determination unit 170 determines the supply amount based on the actually measured value or the predicted value is determined, for example, based on the information at the time input by the user through the information processing terminal 400. .. Specifically, the delivery route determination unit 170 determines the delivery route based on the predicted value when the time point indicates the future, and when the time point does not indicate the future, the delivery route is determined by the date and time indicated by the time point. Determined based on measured values.
 さらに配送ルート決定部170は、家畜の種類に基づいて、配送ルートを決定してもよい。一つの車両及び一人のドライバーで、飼育される家畜の種類が異なる農園を巡回できない場合がある。具体的には、飼料の配送を行う際に、豚を飼育する農園のみを巡回することはできるが、豚を飼育する農園を訪れた後に、牛を飼育する農園を訪れることはできない。これは、車両及びドライバーが異種の家畜との接触を避けるためである。例えば、異種の家畜間でウイルスが伝播した場合、ウイルスの特徴が変化する場合がある。そうすると、ウイルスに対するワクチンの効き目が悪くなってしまったり、病勢が変化したりする虞がある。車両及びドライバーが異種の家畜との接触を避けることにより、このような異種の家畜間でウイルスが伝播することを予防することができる。そこで、配送ルート決定部170は、例えば、配送先で飼育されている家畜の種類に応じて、同じ種類の家畜が飼育される配送先のみ巡回する配送ルートを決定する。 Further, the delivery route determination unit 170 may determine the delivery route based on the type of livestock. One vehicle and one driver may not be able to tour farms of different types of livestock. Specifically, when delivering feed, it is possible to visit only the farms that raise pigs, but it is not possible to visit the farms that raise cattle after visiting the farms that raise pigs. This is to prevent vehicles and drivers from coming into contact with different types of livestock. For example, when a virus is transmitted between different types of livestock, the characteristics of the virus may change. Then, the vaccine against the virus may not be effective or the disease may change. By avoiding contact of vehicles and drivers with heterogeneous livestock, it is possible to prevent the virus from being transmitted between such heterogeneous livestock. Therefore, the delivery route determination unit 170 determines, for example, a delivery route that patrols only the delivery destination where the same type of livestock is bred, according to the type of livestock raised at the delivery destination.
 このとき、配送ルート決定部170は、配送に用いる車両及びドライバーも決定してよい。例えば、配送ルート決定部170は、配送先で飼育されている家畜の種類と車両情報を用いて、配送に用いる車両を決定する。車両情報とは、車両の識別情報と、車両に対応する家畜の種類と、車両の積載量等が関連付けられた情報である。また、例えば、配送ルート決定部170は、配送先で飼育されている家畜の種類とドライバー情報とを用いて、車両を運転するドライバーを決定する。ドライバー情報は、ドライバーの識別情報と、ドライバーに対応する家畜の種類とが関連付けられた情報である。車両情報及びドライバー情報は予め記憶装置500に格納されている。 At this time, the delivery route determination unit 170 may also determine the vehicle and driver used for delivery. For example, the delivery route determination unit 170 determines a vehicle to be used for delivery by using the type of livestock raised at the delivery destination and vehicle information. The vehicle information is information in which the vehicle identification information, the type of livestock corresponding to the vehicle, the load capacity of the vehicle, and the like are associated with each other. Further, for example, the delivery route determination unit 170 determines a driver to drive a vehicle by using the type of livestock raised at the delivery destination and the driver information. The driver information is information in which the identification information of the driver and the type of livestock corresponding to the driver are associated with each other. Vehicle information and driver information are stored in the storage device 500 in advance.
 なお、配送ルート決定部170は、供給量算出部160によって算出された供給量をさらに用いて、配送に用いる車両を決定してもよい。例えば、配送先の供給量の合計が6トンとなった場合、積載量が4トンの車両では飼料を十分に配送することができない。そこで、配送ルート決定部170は、配送先の供給量の合計と車両情報に含まれる積載量とに基づいて、配送に用いる車両を決定する。具体的には、配送ルート決定部170は、配送先の供給量の合計が積載量を超えない車両を、配送に用いる車両として決定する。 The delivery route determination unit 170 may further use the supply amount calculated by the supply amount calculation unit 160 to determine the vehicle to be used for delivery. For example, if the total supply amount of the delivery destination is 6 tons, the feed cannot be sufficiently delivered by the vehicle having a load capacity of 4 tons. Therefore, the delivery route determination unit 170 determines the vehicle to be used for delivery based on the total supply amount of the delivery destination and the load amount included in the vehicle information. Specifically, the delivery route determination unit 170 determines a vehicle whose total supply amount of the delivery destination does not exceed the load capacity as a vehicle to be used for delivery.
 次に配送ルートが実測値に基づいて決定された場合と、予測値に基づいて決定された場合の配送ルートの表示態様の一例について、図15及び図16を用いて説明する。なお、現在の時点が2020年5月14日12時であり、閾値として、飼料タンクの容量の50%の値が定められているとする。 Next, an example of the display mode of the delivery route when the delivery route is determined based on the measured value and when the delivery route is determined based on the predicted value will be described with reference to FIGS. 15 and 16. It is assumed that the current time point is 12:00 on May 14, 2020, and a value of 50% of the capacity of the feed tank is set as a threshold value.
 表示制御部133は、配送ルート決定部170が決定した配送ルートを表示装置に表示させる。図15は、実測値を用いて決定された配送ルートの表示態様の一例である。図15では、図12と同様に、地図上の、各飼料タンクが設置されている農場の位置に、図3及び図4で示した矩形が重畳されている。さらに、図15では、矢印で示される配送ルートを地図に重畳させている。詳細には、現在の時点において、飼料の残量が50%未満となっている飼料タンクは、農場A及び農場Cであるため、出発地点から農場Aと農場Cとを巡回する配送ルートが示されている。このように、飼料管理装置104は、配送ルートを決定し、表示装置に配送ルートを表示させることで、例えば、物流会社に配送ルートを把握させることができる。そのため、物流会社は、効率的に配送計画を立てることができる。 The display control unit 133 causes the display device to display the delivery route determined by the delivery route determination unit 170. FIG. 15 is an example of a display mode of the delivery route determined by using the measured value. In FIG. 15, similarly to FIG. 12, the rectangles shown in FIGS. 3 and 4 are superimposed on the position of the farm where each feed tank is installed on the map. Further, in FIG. 15, the delivery route indicated by the arrow is superimposed on the map. In detail, since the feed tanks with less than 50% of the remaining amount of feed at the present time are farm A and farm C, the delivery route that goes around farm A and farm C from the starting point is shown. Has been done. In this way, the feed management device 104 determines the delivery route and causes the display device to display the delivery route, so that, for example, the distribution company can grasp the delivery route. Therefore, the logistics company can efficiently make a delivery plan.
 図16は、予測値を用いて決定された配送ルート表示態様の一例である。図16では、3日後の2020年5月17日12時における配送ルートが示されている。図15の状況と比べて、3日後の時点では、農場Dの飼料タンクも飼料の残量が50%未満となっている。そのため、出発地点から農場Aと農場Cと農場Dとを巡回する配送ルートが示されている。このように、飼料管理装置104は、予測時点における配送ルートを決定し、表示装置に予測時点における配送ルート表示させることで、例えば、物流会社に配送ルートを早期に把握させることができる。そのため、物流会社は、より効率的に配送計画を立てることができる。 FIG. 16 is an example of a delivery route display mode determined using predicted values. FIG. 16 shows the delivery route at 12:00 on May 17, 2020, three days later. Compared to the situation of FIG. 15, at the time of 3 days, the remaining amount of feed in the feed tank of farm D is less than 50%. Therefore, a delivery route that goes around farm A, farm C, and farm D from the starting point is shown. In this way, the feed management device 104 determines the delivery route at the time of prediction, and causes the display device to display the delivery route at the time of prediction, so that, for example, the distribution company can grasp the delivery route at an early stage. Therefore, the logistics company can make a delivery plan more efficiently.
 表示制御部133は、配送ルート決定部170が配送に用いる車両及びドライバーを決定している場合、車両とドライバーを示す情報を表示させてもよい。なお、配送ルートを表示する例はこの例に限らない。例えば、表示制御部133は、配送ルートを文字で表示してもよい。また、表示制御部133は、供給量算出部160によって算出された供給量を表示装置に表示させてもよい。 When the delivery route determination unit 170 determines the vehicle and driver to be used for delivery, the display control unit 133 may display information indicating the vehicle and driver. The example of displaying the delivery route is not limited to this example. For example, the display control unit 133 may display the delivery route in characters. Further, the display control unit 133 may display the supply amount calculated by the supply amount calculation unit 160 on the display device.
 [飼料管理装置104の動作]
 次に飼料管理システム1004の動作を説明する。本動作例では、予測値に基づいて配送ルートを決定する例を、図17を用いて説明する。なお、歪みセンサ200の各々は、図5に示すシーケンス図の、S101及びS102の処理と同様の処理を行う。また、測定器300の各々は、図5に示すシーケンス図の、S103乃至S105の処理と同様の処理を行う。よって、歪みセンサ200及び測定器300の各々の動作の説明を省略する。
[Operation of feed management device 104]
Next, the operation of the feed management system 1004 will be described. In this operation example, an example of determining a delivery route based on a predicted value will be described with reference to FIG. In addition, each of the strain sensors 200 performs the same processing as the processing of S101 and S102 in the sequence diagram shown in FIG. Further, each of the measuring instruments 300 performs the same processing as the processing of S103 to S105 in the sequence diagram shown in FIG. Therefore, the description of each operation of the strain sensor 200 and the measuring instrument 300 will be omitted.
 図17は、飼料管理装置104の動作を説明するフローチャートである。図17に示すS501乃至S504の処理のそれぞれは、図13に示すS401乃至S404の処理のそれぞれと同様である。そのため、説明を省略する。 FIG. 17 is a flowchart illustrating the operation of the feed management device 104. Each of the processes of S501 to S504 shown in FIG. 17 is the same as that of each of the processes of S401 to S404 shown in FIG. Therefore, the description thereof will be omitted.
 S504の処理の後、配送ルート決定部170は、予測値が閾値未満である飼料タンクの位置情報が示す位置を配送先に設定する(S505)。配送ルート決定部170は、配送先の位置情報に基づいて、配送ルートを決定する(S506)。例えば、配送ルート決定部170は、配送先の位置情報と、地図情報を用いて、飼料を配送する出発地点から配送先を巡回する配送ルートを決定する。このとき、配送ルート決定部170は、配送先で飼育されている家畜の種類に応じて、同じ種類の家畜が飼育される配送先のみ巡回する配送ルートを決定してもよい。 After the processing of S504, the delivery route determination unit 170 sets the position indicated by the position information of the feed tank whose predicted value is less than the threshold value as the delivery destination (S505). The delivery route determination unit 170 determines the delivery route based on the location information of the delivery destination (S506). For example, the delivery route determination unit 170 uses the location information of the delivery destination and the map information to determine a delivery route that patrols the delivery destination from the departure point where the feed is delivered. At this time, the delivery route determination unit 170 may determine a delivery route that patrols only the delivery destination where the same type of livestock is bred, depending on the type of livestock raised at the delivery destination.
 次に、供給量算出部160は、配送先の供給量を算出する(S507)。例えば、供給量算出部160は、配送先の飼料タンク内の飼料の予測値に基づいて、供給量を算出する。配送ルート決定部170は、家畜の種類と配送先の供給量とに基づいて、配送に用いる車両及びドライバーを決定する(S508)。そして、表示制御部133は、決定された配送ルート、車両、及びドライバーを表示装置に表示させる(S509)。 Next, the supply amount calculation unit 160 calculates the supply amount of the delivery destination (S507). For example, the supply amount calculation unit 160 calculates the supply amount based on the predicted value of the feed in the feed tank of the delivery destination. The delivery route determination unit 170 determines a vehicle and a driver to be used for delivery based on the type of livestock and the supply amount of the delivery destination (S508). Then, the display control unit 133 causes the display device to display the determined delivery route, vehicle, and driver (S509).
 このように、第5の実施形態の飼料管理装置104は、飼料の重量が閾値未満の容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定し、配送ルートを前記表示装置に表示させる。これにより、例えば、物流会社に配送ルートを把握させることができる。そのため、物流会社は、効率的に配送計画を立てることができる。よって、飼料管理装置104は配送コストを低減させることができる。 As described above, the feed management device 104 of the fifth embodiment sets the delivery destination at the position where the container in which the weight of the feed is less than the threshold value is installed, determines the delivery route that patrols the delivery destination, and determines the delivery route. Display on the display device. As a result, for example, the distribution company can be made to grasp the delivery route. Therefore, the logistics company can efficiently make a delivery plan. Therefore, the feed management device 104 can reduce the delivery cost.
 <第6の実施形態>
 図18を参照して、第6の実施形態に関して説明する。
<Sixth Embodiment>
A sixth embodiment will be described with reference to FIG.
 図18は、第6の実施形態の飼料管理装置600の構成を示すブロック図である。図18に示すように、飼料管理装置600は、重量算出部610と、表示制御部620とを備える。 FIG. 18 is a block diagram showing the configuration of the feed management device 600 according to the sixth embodiment. As shown in FIG. 18, the feed management device 600 includes a weight calculation unit 610 and a display control unit 620.
 重量算出部610は、飼料を保管する容器の表面または容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、飼料の重量を算出する。 The weight calculation unit 610 calculates the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
 表示制御部620は、算出された飼料の重量を表示装置に表示させる。 The display control unit 620 displays the calculated weight of the feed on the display device.
 この構成により、第6の実施形態の飼料管理装置600は、ユーザに、飼料を保管する容器内の飼料の残量を把握させることができる。飼料会社が飼料の残量を正確に把握することができれば、飼料の生産計画を容易にたてることができるので、飼料の生産コストを低減させたり、効率的に配送の手配ができるので、飼料の配送コストを低減させたりすることができる。さらに、歪みに関するセンサデータを検出するセンサが取り付けられる箇所は、容器の表面または支持部材の表面である。つまり、センサを設置する際に、飼料タンク及び支持部材を含む既存の設備を取り換える必要がないので、飼料管理装置600を導入する際の導入コストも抑えることができる。すなわち、第6の実施形態の飼料管理装置600は、飼料の供給にかかるコストを低減することができる。 With this configuration, the feed management device 600 of the sixth embodiment allows the user to grasp the remaining amount of feed in the container for storing the feed. If the feed company can accurately grasp the remaining amount of feed, it is possible to easily make a feed production plan, reduce the feed production cost, and efficiently arrange the delivery of the feed. It is possible to reduce the delivery cost of. Further, the place where the sensor for detecting the sensor data regarding the strain is attached is the surface of the container or the surface of the support member. That is, when installing the sensor, it is not necessary to replace the existing equipment including the feed tank and the support member, so that the introduction cost when introducing the feed management device 600 can be suppressed. That is, the feed management device 600 of the sixth embodiment can reduce the cost of supplying feed.
 <飼料管理装置のハードウェアの構成例>
 上述した第1、第2、第3、第4、第5、及び第6の実施形態の飼料管理装置を構成するハードウェアについて説明する。図19は、各実施形態における飼料管理装置を実現するコンピュータ装置のハードウェア構成の一例を示すブロック図である。図19が示す各ブロックは、各実施形態における飼料管理装置及び飼料管理方法を実現するコンピュータ装置10と、ソフトウェアとの組み合わせにより実現できる。
<Hardware configuration example of feed management device>
The hardware constituting the feed management apparatus of the first, second, third, fourth, fifth, and sixth embodiments described above will be described. FIG. 19 is a block diagram showing an example of a hardware configuration of a computer device that realizes the feed management device in each embodiment. Each block shown in FIG. 19 can be realized by a combination of software and a computer device 10 that realizes the feed management device and the feed management method in each embodiment.
 図19に示すように、コンピュータ装置10は、プロセッサ11、RAM(Random Access Memory)12、ROM(Read Only Memory)13、記憶装置14、入出力インタフェース15、バス16、及びドライブ装置17を備える。なお、飼料管理装置は、複数の電気回路によって実現されてもよい。 As shown in FIG. 19, the computer device 10 includes a processor 11, a RAM (Random Access Memory) 12, a ROM (Read Only Memory) 13, a storage device 14, an input / output interface 15, a bus 16, and a drive device 17. The feed management device may be realized by a plurality of electric circuits.
 記憶装置14は、プログラム(コンピュータプログラム)18を格納する。プロセッサ11は、RAM12を用いて本飼料管理装置のプログラム18を実行する。具体的には、例えば、プログラム18は、図5、図6、図8、図10、図13及び図17に示す処理をコンピュータに実行させるプログラムを含む。プロセッサ11が、プログラム18を実行することに応じて、本飼料管理装置の各構成要素(上述した、重量算出部120、121、610、表示制御部130、131、132、133、620等)の機能が実現される。プログラム18は、ROM13に記憶されていてもよい。また、プログラム18は、記憶媒体20に記録され、ドライブ装置17を用いて読み出されてもよいし、図示しない外部装置から図示しないネットワークを介してコンピュータ装置10に送信されてもよい。 The storage device 14 stores a program (computer program) 18. The processor 11 executes the program 18 of the feed management device using the RAM 12. Specifically, for example, the program 18 includes a program that causes a computer to execute the processes shown in FIGS. 5, 6, 8, 10, 13, and 17. In response to the execution of the program 18, the processor 11 of each component of the feed management device ( weight calculation unit 120, 121, 610, display control unit 130, 131, 132, 133, 620, etc. described above). The function is realized. The program 18 may be stored in the ROM 13. Further, the program 18 may be recorded on the storage medium 20 and read out using the drive device 17, or may be transmitted from an external device (not shown) to the computer device 10 via a network (not shown).
 入出力インタフェース15は、周辺機器(キーボード、マウス、表示装置など)19とデータをやり取りする。入出力インタフェース15は、データを取得または出力する手段として機能する。バス16は、各構成要素を接続する。 The input / output interface 15 exchanges data with peripheral devices (keyboard, mouse, display device, etc.) 19. The input / output interface 15 functions as a means for acquiring or outputting data. The bus 16 connects each component.
 なお、飼料管理装置の実現方法には様々な変形例がある。例えば、飼料管理装置は、専用の装置として実現することができる。また、飼料管理装置は、複数の装置の組み合わせに基づいて実現することができる。 There are various variations in the method of realizing the feed management device. For example, the feed management device can be realized as a dedicated device. Further, the feed management device can be realized based on a combination of a plurality of devices.
 各実施形態の機能における各構成要素を実現するためのプログラムを記憶媒体に記録させ、該記憶媒体に記録されたプログラムをコードとして読み出し、コンピュータにおいて実行する処理方法も各実施形態の範疇に含まれる。すなわち、コンピュータ読取可能な記憶媒体も各実施形態の範囲に含まれる。また、上述のプログラムが記録された記憶媒体、及びそのプログラム自体も各実施形態に含まれる。 A processing method in which a program for realizing each component in the function of each embodiment is recorded in a storage medium, the program recorded in the storage medium is read out as a code, and the program is executed in a computer is also included in the category of each embodiment. .. That is, a computer-readable storage medium is also included in the scope of each embodiment. Further, the storage medium in which the above-mentioned program is recorded and the program itself are also included in each embodiment.
 該記憶媒体は、例えばフロッピー(登録商標)ディスク、ハードディスク、光ディスク、光磁気ディスク、CD(Compact Disc)-ROM、磁気テープ、不揮発性メモリカード、またはROMであるが、この例に限らない。また該記憶媒体に記録されたプログラムは、単体で処理を実行しているプログラムに限らず、他のソフトウェア、拡張ボードの機能と共同して、OS(Operating System)上で動作して処理を実行するプログラムも各実施形態の範疇に含まれる。 The storage medium is, for example, a floppy disk (registered trademark) disk, a hard disk, an optical disk, a magneto-optical disk, a CD (Compact Disc) -ROM, a magnetic tape, a non-volatile memory card, or a ROM, but the storage medium is not limited to this example. The program recorded on the storage medium is not limited to a program that executes processing by itself, but operates on an OS (Operating System) in cooperation with other software and expansion board functions to execute processing. Programs to be implemented are also included in the category of each embodiment.
 以上、実施形態を参照して本願発明を説明したが、本願発明は上記実施形態に限定されるものではない。本願発明の構成や詳細には、本願発明のスコープ内で当業者が理解しうる様々な変更をすることができる。 Although the invention of the present application has been described above with reference to the embodiment, the invention of the present application is not limited to the above embodiment. Various changes that can be understood by those skilled in the art can be made within the scope of the present invention in terms of the configuration and details of the present invention.
 上記の実施形態の一部または全部は、以下の付記のようにも記載されうるが、以下には限られない。 A part or all of the above embodiment may be described as in the following appendix, but is not limited to the following.
 <付記>
 [付記1]
 飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出する重量算出手段と、
 算出された前記飼料の重量を表示装置に表示させる表示制御手段と、を備える、
 飼料管理装置。
<Additional Notes>
[Appendix 1]
A weight calculation means for calculating the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
A display control means for displaying the calculated weight of the feed on a display device is provided.
Feed management device.
 [付記2]
 前記表示制御手段は、前記容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させる、
 付記1に記載の飼料管理装置。
[Appendix 2]
The display control means changes the display mode according to the capacity of the container and the weight of the feed, and causes the display device to display the weight of the feed.
The feed management device according to Appendix 1.
 [付記3]
 複数の異なる位置のそれぞれに前記容器が設置される場合に、
 前記重量算出手段は、前記容器の各々に取り付けられた前記センサによって検出された前記センサデータに基づいて、前記容器の各々に保管されている前記飼料の重量を算出し、
 前記表示制御手段は、前記容器の各々に保管されている前記飼料の重量を、前記表示装置に表示させる、
 付記1または2に記載の飼料管理装置。
[Appendix 3]
When the container is installed in each of a plurality of different positions,
The weight calculating means calculates the weight of the feed stored in each of the containers based on the sensor data detected by the sensors attached to each of the containers.
The display control means causes the display device to display the weight of the feed stored in each of the containers.
The feed management device according to Appendix 1 or 2.
 [付記4]
 前記飼料の重量が閾値未満の前記容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定する配送ルート決定手段を備え、
 前記表示制御手段は、前記配送ルートを前記表示装置に表示させる、
 付記1乃至3のいずれか一項に記載の飼料管理装置。
[Appendix 4]
A delivery route determining means for determining a delivery route that patrols the delivery destination is provided at a position where the container in which the weight of the feed is less than the threshold value is installed.
The display control means causes the display device to display the delivery route.
The feed management device according to any one of Supplementary note 1 to 3.
 [付記5]
 前記配送ルート決定手段は、前記配送先において飼育される家畜の種類に応じて、前記配送ルートを決定する、
 付記4に記載の飼料管理装置。
[Appendix 5]
The delivery route determining means determines the delivery route according to the type of livestock raised at the delivery destination.
The feed management device according to Appendix 4.
 [付記6]
 前記配送ルート決定手段は、前記配送先において飼育される家畜の種類に応じて、前記飼料を配送する車両及びドライバーを決定する、
 付記4または5に記載の飼料管理装置。
[Appendix 6]
The delivery route determining means determines a vehicle and a driver to deliver the feed according to the type of livestock raised at the delivery destination.
The feed management device according to Appendix 4 or 5.
 [付記7]
 算出された前記飼料の重量に基づいて、予測時点における前記飼料の重量を予測する予測手段を備え、
 前記配送ルート決定手段は、予測された前記飼料の重量が閾値未満の前記容器が設置されている位置を前記配送先とし、当該配送先を巡回する前記配送ルートを決定する、
 付記4乃至6のいずれか一項に記載の飼料管理装置。
[Appendix 7]
A prediction means for predicting the weight of the feed at the time of prediction based on the calculated weight of the feed is provided.
The delivery route determining means determines the delivery route that patrols the delivery destination, with the position where the container in which the predicted weight of the feed is less than the threshold value is installed as the delivery destination.
The feed management device according to any one of Supplementary note 4 to 6.
 [付記8]
 前記表示制御手段は、入力された日時の情報に応じて、当該日時における前記飼料の重量を表示させる、
 付記1乃至7のいずれか一項に記載の飼料管理装置。
[Appendix 8]
The display control means displays the weight of the feed at the date and time according to the input date and time information.
The feed management device according to any one of Supplementary note 1 to 7.
 [付記9]
 付記1乃至8のいずれか1項に記載の飼料管理装置と、
 前記センサと、
 を備える、飼料管理システム。
[Appendix 9]
The feed management device according to any one of Supplementary note 1 to 8 and the feed management device.
With the sensor
A feed management system.
 [付記10]
 飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出し、
 算出された前記飼料の重量を表示装置に表示させる、
 飼料管理方法。
[Appendix 10]
The weight of the feed is calculated based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
Display the calculated weight of the feed on the display device.
Feed management method.
 [付記11]
 前記容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させる、
 付記10に記載の飼料管理方法。
[Appendix 11]
The display mode is changed according to the capacity of the container and the weight of the feed, and the weight of the feed is displayed on the display device.
The feed management method according to Appendix 10.
 [付記12]
 複数の場所のそれぞれに前記容器が設置される場合、
 前記容器の各々に取り付けられた前記センサによって検出された前記センサデータに基づいて、前記容器の各々に保管されている前記飼料の重量を算出し、
 前記容器の各々に保管されている前記飼料の重量を、前記表示装置に表示させる、
 付記10乃至11のいずれか一項に記載の飼料管理方法。
[Appendix 12]
If the container is installed in each of multiple locations,
Based on the sensor data detected by the sensor attached to each of the containers, the weight of the feed stored in each of the containers was calculated.
The display device displays the weight of the feed stored in each of the containers.
The feed management method according to any one of Supplementary note 10 to 11.
 [付記13]
 前記飼料の重量が閾値未満の前記容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定し、
 前記配送ルートを前記表示装置に表示させる、
 付記10乃至12のいずれか一項に記載の飼料管理方法。
[Appendix 13]
The delivery destination is the position where the container in which the weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined.
Displaying the delivery route on the display device,
The feed management method according to any one of Supplementary note 10 to 12.
 [付記14]
 前記配送先において飼育される家畜の種類に応じて、前記配送ルートを決定する、
 付記13に記載の飼料管理方法。
[Appendix 14]
The delivery route is determined according to the type of livestock raised at the delivery destination.
The feed management method according to Appendix 13.
 [付記15]
 前記配送先において飼育される家畜の種類に応じて、前記飼料を配送する車両及びドライバーを決定する、
 付記13または14に記載の飼料管理方法。
[Appendix 15]
The vehicle and driver to which the feed is delivered are determined according to the type of livestock raised at the delivery destination.
The feed management method according to Appendix 13 or 14.
 [付記16]
 算出された前記飼料の重量に基づいて、予測時点における前記飼料の重量を予測し、
 予測された前記飼料の重量が閾値未満の前記容器が設置されている位置を前記配送先とし、当該配送先を巡回する前記配送ルートを決定する、
 付記13乃至15のいずれか一項に記載の飼料管理方法。
[Appendix 16]
Based on the calculated weight of the feed, the weight of the feed at the time of prediction is predicted.
The delivery destination is the position where the container in which the predicted weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined.
The feed management method according to any one of Supplementary note 13 to 15.
 [付記17]
 入力された日時の情報に応じて、当該日時における前記飼料の重量を表示させる、
 付記10乃至16のいずれか一項に記載の飼料管理方法。
[Appendix 17]
The weight of the feed at the date and time is displayed according to the input date and time information.
The feed management method according to any one of Supplementary note 10 to 16.
 [付記18]
 飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出する処理と、
 算出された前記飼料の重量を表示装置に表示させる処理と、をコンピュータに実行させるプログラムを格納する、
 コンピュータ読み取り可能な記憶媒体。
[Appendix 18]
The process of calculating the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
A process for displaying the calculated weight of the feed on the display device and a program for causing the computer to execute the process are stored.
Computer-readable storage medium.
 [付記19]
 前記表示させる処理において、前記容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させる、
 付記18に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 19]
In the process of displaying, the display mode is changed according to the capacity of the container and the weight of the feed, and the weight of the feed is displayed on the display device.
The computer-readable storage medium according to Appendix 18.
 [付記20]
 複数の場所のそれぞれに前記容器が設置される場合に、
 前記飼料の重量を算出する処理において、前記容器の各々に取り付けられた前記センサによって検出された前記センサデータに基づいて、前記容器の各々に保管されている前記飼料の重量を算出し、
 前記表示させる処理において、前記容器の各々に保管されている前記飼料の重量を、前記表示装置に表示させる、
 付記18または19に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 20]
When the container is installed in each of multiple locations,
In the process of calculating the weight of the feed, the weight of the feed stored in each of the containers is calculated based on the sensor data detected by the sensors attached to each of the containers.
In the process of displaying, the display device displays the weight of the feed stored in each of the containers.
A computer-readable storage medium according to Appendix 18 or 19.
 [付記21]
 コンピュータに、
 前記飼料の重量が閾値未満の前記容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定する処理をさらに実行させ、
 前記表示させる処理において、前記配送ルートを前記表示装置に表示させる、
 付記18乃至20のいずれか一項に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 21]
On the computer
The delivery destination is the position where the container in which the weight of the feed is less than the threshold value is installed, and the process of determining the delivery route that patrols the delivery destination is further executed.
In the process of displaying, the delivery route is displayed on the display device.
The computer-readable storage medium according to any one of Supplementary note 18 to 20.
 [付記22]
 前記配送ルートを決定する処理において、前記配送先において飼育される家畜の種類に応じて、前記配送ルートを決定する、
 付記21に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 22]
In the process of determining the delivery route, the delivery route is determined according to the type of livestock raised at the delivery destination.
The computer-readable storage medium according to Appendix 21.
 [付記23]
 前記配送ルートを決定する処理において、前記配送先において飼育される家畜の種類に応じて、前記飼料を配送する車両及びドライバーを決定する、
 付記21または22に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 23]
In the process of determining the delivery route, the vehicle and the driver to deliver the feed are determined according to the type of livestock raised at the delivery destination.
A computer-readable storage medium according to Appendix 21 or 22.
 [付記24]
 コンピュータに、
 算出された前記飼料の重量に基づいて、予測時点における前記飼料の重量を予測する処理をさらに実行させ、
 前記配送ルートを決定する処理において、予測された前記飼料の重量が閾値未満の前記容器が設置されている位置を前記配送先とし、当該配送先を巡回する前記配送ルートを決定する、
 付記21乃至23のいずれか一項に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 24]
On the computer
Based on the calculated weight of the feed, a process of predicting the weight of the feed at the time of prediction is further executed.
In the process of determining the delivery route, the delivery destination is the position where the container in which the predicted weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined.
The computer-readable storage medium according to any one of Supplementary note 21 to 23.
 [付記25]
 前記表示させる処理において、入力された日時の情報に応じて、当該日時における前記飼料の重量を表示させる、
 付記18乃至24のいずれか一項に記載のコンピュータ読み取り可能な記憶媒体。
[Appendix 25]
In the process to be displayed, the weight of the feed at the date and time is displayed according to the input date and time information.
The computer-readable storage medium according to any one of Supplementary note 18 to 24.
 100、101、102、103、104、600 飼料管理装置
 110、310 通信部
 120、121、610 重量算出部
 130、131、132、133、620 表示制御部
 140、141 予測部
 150、151 通知部
 160 供給量算出部
 170 配送ルート決定部
 200 歪みセンサ
 300 測定器
 320 歪み値算出部
 400 情報処理端末
 500 記憶装置
100, 101, 102, 103, 104, 600 Feed management device 110, 310 Communication unit 120, 121, 610 Weight calculation unit 130, 131, 132, 133, 620 Display control unit 140, 141 Prediction unit 150, 151 Notification unit 160 Supply amount calculation unit 170 Delivery route determination unit 200 Strain sensor 300 Measuring instrument 320 Strain value calculation unit 400 Information processing terminal 500 Storage device

Claims (25)

  1.  飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出する重量算出手段と、
     算出された前記飼料の重量を表示装置に表示させる表示制御手段と、を備える、
     飼料管理装置。
    A weight calculation means for calculating the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
    A display control means for displaying the calculated weight of the feed on a display device is provided.
    Feed management device.
  2.  前記表示制御手段は、前記容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させる、
     請求項1に記載の飼料管理装置。
    The display control means changes the display mode according to the capacity of the container and the weight of the feed, and causes the display device to display the weight of the feed.
    The feed management device according to claim 1.
  3.  複数の異なる位置のそれぞれに前記容器が設置される場合に、
     前記重量算出手段は、前記容器の各々に取り付けられた前記センサによって検出された前記センサデータに基づいて、前記容器の各々に保管されている前記飼料の重量を算出し、
     前記表示制御手段は、前記容器の各々に保管されている前記飼料の重量を、前記表示装置に表示させる、
     請求項1または2に記載の飼料管理装置。
    When the container is installed in each of a plurality of different positions,
    The weight calculating means calculates the weight of the feed stored in each of the containers based on the sensor data detected by the sensors attached to each of the containers.
    The display control means causes the display device to display the weight of the feed stored in each of the containers.
    The feed management device according to claim 1 or 2.
  4.  前記飼料の重量が閾値未満の前記容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定する配送ルート決定手段を備え、
     前記表示制御手段は、前記配送ルートを前記表示装置に表示させる、
     請求項1乃至3のいずれか一項に記載の飼料管理装置。
    A delivery route determining means for determining a delivery route that patrols the delivery destination is provided at a position where the container in which the weight of the feed is less than the threshold value is installed.
    The display control means causes the display device to display the delivery route.
    The feed management device according to any one of claims 1 to 3.
  5.  前記配送ルート決定手段は、前記配送先において飼育される家畜の種類に応じて、前記配送ルートを決定する、
     請求項4に記載の飼料管理装置。
    The delivery route determining means determines the delivery route according to the type of livestock raised at the delivery destination.
    The feed management device according to claim 4.
  6.  前記配送ルート決定手段は、前記配送先において飼育される家畜の種類に応じて、前記飼料を配送する車両及びドライバーを決定する、
     請求項4または5に記載の飼料管理装置。
    The delivery route determining means determines a vehicle and a driver to deliver the feed according to the type of livestock raised at the delivery destination.
    The feed management device according to claim 4 or 5.
  7.  算出された前記飼料の重量に基づいて、予測時点における前記飼料の重量を予測する予測手段を備え、
     前記配送ルート決定手段は、予測された前記飼料の重量が閾値未満の前記容器が設置されている位置を前記配送先とし、当該配送先を巡回する前記配送ルートを決定する、
     請求項4乃至6のいずれか一項に記載の飼料管理装置。
    A prediction means for predicting the weight of the feed at the time of prediction based on the calculated weight of the feed is provided.
    The delivery route determining means determines the delivery route that patrols the delivery destination, with the position where the container in which the predicted weight of the feed is less than the threshold value is installed as the delivery destination.
    The feed management device according to any one of claims 4 to 6.
  8.  前記表示制御手段は、入力された日時の情報に応じて、当該日時における前記飼料の重量を表示させる、
     請求項1乃至7のいずれか一項に記載の飼料管理装置。
    The display control means displays the weight of the feed at the date and time according to the input date and time information.
    The feed management device according to any one of claims 1 to 7.
  9.  請求項1乃至8のいずれか1項に記載の飼料管理装置と、
     前記センサと、
     を備える、飼料管理システム。
    The feed management device according to any one of claims 1 to 8.
    With the sensor
    A feed management system.
  10.  飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出し、
     算出された前記飼料の重量を表示装置に表示させる、
     飼料管理方法。
    The weight of the feed is calculated based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
    Display the calculated weight of the feed on the display device.
    Feed management method.
  11.  前記容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させる、
     請求項10に記載の飼料管理方法。
    The display mode is changed according to the capacity of the container and the weight of the feed, and the weight of the feed is displayed on the display device.
    The feed management method according to claim 10.
  12.  複数の場所のそれぞれに前記容器が設置される場合、
     前記容器の各々に取り付けられた前記センサによって検出された前記センサデータに基づいて、前記容器の各々に保管されている前記飼料の重量を算出し、
     前記容器の各々に保管されている前記飼料の重量を、前記表示装置に表示させる、
     請求項10乃至11のいずれか一項に記載の飼料管理方法。
    If the container is installed in each of multiple locations,
    Based on the sensor data detected by the sensor attached to each of the containers, the weight of the feed stored in each of the containers was calculated.
    The display device displays the weight of the feed stored in each of the containers.
    The feed management method according to any one of claims 10 to 11.
  13.  前記飼料の重量が閾値未満の前記容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定し、
     前記配送ルートを前記表示装置に表示させる、
     請求項10乃至12のいずれか一項に記載の飼料管理方法。
    The delivery destination is the position where the container in which the weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined.
    Displaying the delivery route on the display device,
    The feed management method according to any one of claims 10 to 12.
  14.  前記配送先において飼育される家畜の種類に応じて、前記配送ルートを決定する、
     請求項13に記載の飼料管理方法。
    The delivery route is determined according to the type of livestock raised at the delivery destination.
    The feed management method according to claim 13.
  15.  前記配送先において飼育される家畜の種類に応じて、前記飼料を配送する車両及びドライバーを決定する、
     請求項13または14に記載の飼料管理方法。
    The vehicle and driver to which the feed is delivered are determined according to the type of livestock raised at the delivery destination.
    The feed management method according to claim 13 or 14.
  16.  算出された前記飼料の重量に基づいて、予測時点における前記飼料の重量を予測し、
     予測された前記飼料の重量が閾値未満の前記容器が設置されている位置を前記配送先とし、当該配送先を巡回する前記配送ルートを決定する、
     請求項13乃至15のいずれか一項に記載の飼料管理方法。
    Based on the calculated weight of the feed, the weight of the feed at the time of prediction is predicted.
    The delivery destination is the position where the container in which the predicted weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined.
    The feed management method according to any one of claims 13 to 15.
  17.  入力された日時の情報に応じて、当該日時における前記飼料の重量を表示させる、
     請求項10乃至16のいずれか一項に記載の飼料管理方法。
    The weight of the feed at the date and time is displayed according to the input date and time information.
    The feed management method according to any one of claims 10 to 16.
  18.  飼料を保管する容器の表面または前記容器を支える支持部材の表面に取り付けられたセンサによって検出された歪みに関するセンサデータに基づいて、前記飼料の重量を算出する処理と、
     算出された前記飼料の重量を表示装置に表示させる処理と、をコンピュータに実行させるプログラムを格納する、
     コンピュータ読み取り可能な記憶媒体。
    The process of calculating the weight of the feed based on the sensor data regarding the strain detected by the sensor attached to the surface of the container for storing the feed or the surface of the support member supporting the container.
    A process for displaying the calculated weight of the feed on the display device and a program for causing the computer to execute the process are stored.
    Computer-readable storage medium.
  19.  前記表示させる処理において、前記容器の容量及び前記飼料の重量に応じて表示態様を変更して、前記飼料の重量を前記表示装置に表示させる、
     請求項18に記載のコンピュータ読み取り可能な記憶媒体。
    In the process of displaying, the display mode is changed according to the capacity of the container and the weight of the feed, and the weight of the feed is displayed on the display device.
    The computer-readable storage medium of claim 18.
  20.  複数の場所のそれぞれに前記容器が設置される場合に、
     前記飼料の重量を算出する処理において、前記容器の各々に取り付けられた前記センサによって検出された前記センサデータに基づいて、前記容器の各々に保管されている前記飼料の重量を算出し、
     前記表示させる処理において、前記容器の各々に保管されている前記飼料の重量を、前記表示装置に表示させる、
     請求項18または19に記載のコンピュータ読み取り可能な記憶媒体。
    When the container is installed in each of multiple locations,
    In the process of calculating the weight of the feed, the weight of the feed stored in each of the containers is calculated based on the sensor data detected by the sensors attached to each of the containers.
    In the process of displaying, the display device displays the weight of the feed stored in each of the containers.
    The computer-readable storage medium of claim 18 or 19.
  21.  コンピュータに、
     前記飼料の重量が閾値未満の前記容器が設置されている位置を配送先とし、当該配送先を巡回する配送ルートを決定する処理をさらに実行させ、
     前記表示させる処理において、前記配送ルートを前記表示装置に表示させる、
     請求項18乃至20のいずれか一項に記載のコンピュータ読み取り可能な記憶媒体。
    On the computer
    The delivery destination is the position where the container in which the weight of the feed is less than the threshold value is installed, and the process of determining the delivery route that patrols the delivery destination is further executed.
    In the process of displaying, the delivery route is displayed on the display device.
    The computer-readable storage medium according to any one of claims 18 to 20.
  22.  前記配送ルートを決定する処理において、前記配送先において飼育される家畜の種類に応じて、前記配送ルートを決定する、
     請求項21に記載のコンピュータ読み取り可能な記憶媒体。
    In the process of determining the delivery route, the delivery route is determined according to the type of livestock raised at the delivery destination.
    The computer-readable storage medium of claim 21.
  23.  前記配送ルートを決定する処理において、前記配送先において飼育される家畜の種類に応じて、前記飼料を配送する車両及びドライバーを決定する、
     請求項21または22に記載のコンピュータ読み取り可能な記憶媒体。
    In the process of determining the delivery route, the vehicle and the driver to deliver the feed are determined according to the type of livestock raised at the delivery destination.
    The computer-readable storage medium of claim 21 or 22.
  24.  コンピュータに、
     算出された前記飼料の重量に基づいて、予測時点における前記飼料の重量を予測する処理をさらに実行させ、
     前記配送ルートを決定する処理において、予測された前記飼料の重量が閾値未満の前記容器が設置されている位置を前記配送先とし、当該配送先を巡回する前記配送ルートを決定する、
     請求項21乃至23のいずれか一項に記載のコンピュータ読み取り可能な記憶媒体。
    On the computer
    Based on the calculated weight of the feed, a process of predicting the weight of the feed at the time of prediction is further executed.
    In the process of determining the delivery route, the delivery destination is the position where the container in which the predicted weight of the feed is less than the threshold value is installed, and the delivery route that patrols the delivery destination is determined.
    The computer-readable storage medium according to any one of claims 21 to 23.
  25.  前記表示させる処理において、入力された日時の情報に応じて、当該日時における前記飼料の重量を表示させる、
     請求項18乃至24のいずれか一項に記載のコンピュータ読み取り可能な記憶媒体。
    In the process to be displayed, the weight of the feed at the date and time is displayed according to the input date and time information.
    The computer-readable storage medium according to any one of claims 18 to 24.
PCT/JP2020/025192 2020-06-26 2020-06-26 Feed management device, feed management method, feed management system, and computer-readable recording medium WO2021260914A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS57203334U (en) * 1981-06-23 1982-12-24
JPS6134429U (en) * 1984-07-31 1986-03-03 株式会社クボタ feed storage equipment
JP3194323U (en) * 2014-09-04 2014-11-13 佐鳥 新 Feed sensor and feed remaining amount management system using the same
JP2016136930A (en) * 2015-01-29 2016-08-04 株式会社中嶋製作所 Residual animal feed amount measurement device and livestock barn management system using the same
US20180364091A1 (en) * 2016-01-12 2018-12-20 Mwi Veterinary Supply Co. System and method for weighing animal feed ingredients

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS57203334U (en) * 1981-06-23 1982-12-24
JPS6134429U (en) * 1984-07-31 1986-03-03 株式会社クボタ feed storage equipment
JP3194323U (en) * 2014-09-04 2014-11-13 佐鳥 新 Feed sensor and feed remaining amount management system using the same
JP2016136930A (en) * 2015-01-29 2016-08-04 株式会社中嶋製作所 Residual animal feed amount measurement device and livestock barn management system using the same
US20180364091A1 (en) * 2016-01-12 2018-12-20 Mwi Veterinary Supply Co. System and method for weighing animal feed ingredients

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