JP2019097954A - Drying prediction system and drying prediction program - Google Patents

Abstract

To predict drying time no matter what type an object to be dried is, as there is no need for classification regarding a material of the object to be dried.SOLUTION: A drying prediction system includes: a moisture sensor 10 for measuring moisture content data of an object to be dried; first detection means 27-1 for detecting whether or not the moisture content data acquired during measurement has exceeded a drying completion moisture threshold value; second detection means 27-2 for detecting a change amount of the moisture content data which is acquired during measurement from moisture content data for comparison before the measurement; drying time prediction means 28 for predicting the drying time based on the detection result by the first detection means 27-1 and the detection result by the second detection means 27-2; and prediction time output control means 29 for outputting the prediction time by the drying time prediction means 28.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a drying prediction system and a drying prediction program for performing a drying reservation of a drying target such as laundry or a dried product.

  In Patent Document 1, an electrode for detecting a resistance value corresponding to the water content is provided at a place where clothing can be in contact, and the conductivity change degree is determined based on the detection result from the detection means for the drying operation time. A dryer for prediction is disclosed. In addition, Patent Document 2 acquires the weather forecast for each time zone through the network, and predicts the dry state of the washed laundry based on the attribute of the clothes and the weather forecast for each acquired time zone. A dry state prediction program and a washing machine are disclosed.

  Further, Patent Document 3 includes detection means for detecting a plurality of outdoor information, and outdoor information provided with a control means for analyzing a plurality of outdoor information detected by the detection means in the outdoor unit or the indoor unit. A notification device is disclosed. As this detection means, there are a temperature sensor, a humidity sensor, a solar radiation sensor, and an air flow sensor, and the wash index is calculated from them.

  Further, Patent Document 4 discloses a washing day recommendation system that acquires a weather forecast, refers to the weather forecast, and notifies a recommended washing date suitable for the laundry to be dried out. Further, in Patent Document 5, a drying time data creation device 1 for calculating the drying time of the laundry by an algorithm previously determined from the moisture content data 10 of the laundry, the laundry data 18 and the environmental data 17 and the data are entered. A laundry drying time estimation system comprising a user interface device 2 for outputting is disclosed. The drying time data creation device 1 of the laundry drying time estimation system calculates the laundry drying time from the data receiving means 11 for receiving the moisture content data, the moisture content data 10, the laundry data 18 and the environmental data 17 The user interface device 2 further comprises a laundry database 15 and data input means 14 for allowing the user to input laundry data 18 and environment data 17 and displaying the drying time Drying time display means 19 and a display 20. As laundry data, surface area data, drying coefficient data by material, and drying coefficient data by thickness are used.

Unexamined-Japanese-Patent No. 1-85699 JP 2008-194153 A JP 2002-350558 A JP, 2016-64077, A JP, 2016-49421, A

  The thing of patent document 1 is a prediction of the drying time in a dryer, and is not applicable when drying a selection target object outdoors or indoors. Moreover, the thing of patent document 2 uses the attribute of clothing, and there exists a problem that it can not respond to the thing whose attribute is unknown, or whose attribute changes with time-dependent change.

  Moreover, although the invention of patent document 3 is what notifies a wash index etc., there existed a problem that it was not able to know the time when a drying object becomes completion of drying. Moreover, the thing of patent document 4 is a washing day recommendation system which notifies the washing recommendation day suitable for the outside drying of the laundry, and there is a problem that it can not know the time when the drying object becomes the completion of drying. The

  Furthermore, the thing of patent document 5 uses a surface area data, the drying coefficient data by a raw material, and the drying coefficient data by thickness as laundry data, and it is difficult to obtain these information correctly. The problem is that the calculation is also complicated.

  The present invention has been made in view of the problems in the field of drying prediction as described above, and the purpose thereof is not to classify the material to be dried and the like, and therefore the drying time regardless of the drying object. It is an object of the present invention to provide a dryness prediction system and a dryness prediction program that make it possible to predict.

  The dryness prediction system according to the present invention comprises a moisture sensor that measures moisture content data of the object to be dried, and a first detection unit that detects whether the moisture content data obtained at the time of prediction exceeds the dryness completion moisture threshold. And second detection means for detecting the amount of change in water content data obtained at the time of prediction from comparison target water content data before the time of prediction, detection results by the first detection means, and detection results by the second detection means A drying time prediction unit that predicts a drying time based on a detection result, and a prediction time output control unit that outputs a prediction time by the drying time prediction unit are characterized.

  In the dryness prediction system according to the present invention, meteorological data acquisition means for acquiring meteorological data at the time of the installation location of the moisture sensor from the outside of the system, and moisture amount data every time moisture amount data is obtained from the moisture sensor Data storage means for storing meteorological data in the data storage unit when it has occurred, third detection means for detecting a change in meteorological data at the time of prediction from the weather data before the prediction time stored in the data storage unit; The drying time predicting means predicts the drying time based on the detection results of the first detection means, the second detection means, and the third detection means.

  The dryness prediction system according to the present invention is characterized in that the weather data includes at least data of temperature, humidity, and wind speed.

  In the dryness prediction system according to the present invention, the indoor environment sensor for measuring indoor environment data is provided, and the data storage means acquires the moisture content data and the indoor environment data each time the moisture content data is obtained from the moisture sensor. And fourth detection means for storing the weather data in the data storage unit and detecting a change in the indoor environment data at the time of prediction from the indoor environment data before the time of prediction stored in the data storage unit, The drying time predicting means predicts the outdoor drying time on the basis of the detection results by the first detecting means, the second detecting means and the third detecting means, and the first detecting means and the second detecting means The indoor drying time is predicted on the basis of the detection results of the detection means and the fourth detection means.

  In the drying prediction system according to the present invention, an outdoor environment sensor for measuring outdoor environment data, and moisture content data and outdoor environment data obtained by the outdoor environment sensor are obtained each time water content data is obtained from the moisture sensor. Data storage means for storing meteorological data in the data storage unit when it is out, and fifth detection means for detecting changes in outdoor environment data at the time of prediction from outdoor environment data before the prediction time stored in the data storage unit The drying time predicting means predicts the drying time based on the detection results of the first detection means, the second detection means, and the fifth detection means.

  The dryness prediction system according to the present invention is characterized in that the environmental data includes at least data of temperature, humidity, wind speed, and illuminance.

  In the drying prediction system according to the present invention, the indoor environment sensor for measuring indoor environment data is provided, and the data storage means is configured to store the moisture amount data, the outdoor environment data and the indoor environment data every time the moisture amount data is obtained from the moisture sensor. And fourth detection means for detecting changes in indoor environmental data at the time of prediction from indoor environmental data before the time of prediction accumulated in the data accumulation unit, the drying time predicting means The outdoor drying time is predicted based on the detection results of the first detection means, the second detection means, and the fifth detection means, and the first detection means and the second detection means The indoor drying time is predicted based on the detection result by the fourth detection means.

The dryness prediction system according to the present invention comprises sixth detection means for detecting whether or not the water content data obtained at the time of prediction exceeds the eight-minute dryness threshold lower than the dryness completion water threshold,
The drying time predicting means predicts an eight-minute drying time on the basis of the detection result of the provided detecting means.

  The drying prediction system according to the present invention comprises computer equipment including at least a moisture sensor in each sensor, and a mounting device attached to the drying object, each detection unit, and a drying time prediction unit. It features.

  The drying prediction program according to the present invention is a first method for detecting whether the water content data obtained at the time of prediction from the water sensor that measures the water content data of the object to be dried exceeds the drying completion water threshold. Detection means, second detection means for detecting the amount of change in water content data obtained at the time of prediction from comparison target water content data before the time of prediction, detection results by the first detection means and the results by the second detection means It is characterized in that it functions as a drying time prediction unit that predicts a drying time based on a detection result, and a prediction time output control unit that outputs a prediction time by the drying time prediction unit.

  In the drying prediction program according to the present invention, the computer is a weather data acquisition means for acquiring weather data at the time of installation at the location of the moisture sensor from the outside of the system, moisture content data each time moisture content data is obtained from the moisture sensor Data storage means for storing meteorological data in the data storage unit when the indoor environment data is acquired, and detecting a change in meteorological data at the prediction time from the weather data before the prediction time stored in the data storage unit The drying time is based on the detection results of the first detection means, the second detection means, and the third detection means, functioning as a third detection means, and using the computer as the drying time prediction means. It is characterized in that it functions to predict.

  The dryness prediction program according to the present invention is characterized in that the weather data includes at least data of temperature, humidity, and wind speed.

  In the drying prediction program according to the present invention, when the computer is used as the data storage unit, moisture content data and outdoor environment data obtained by the outdoor environment sensor are obtained each time moisture content data is obtained from the moisture sensor. Fourth, the function of storing meteorological data in the data storage unit, and detecting a change in the indoor environment data at the time of prediction from the indoor environment data before the time of prediction stored in the data storage unit; Function as the detection means of the above, and the outdoor dry time is predicted based on the detection results by the first detection means, the second detection means, and the third detection means as the drying time prediction means. At the same time, the indoor drying time is predicted based on the detection results of the first detection means, the second detection means, and the fourth detection means. To function in, characterized in that.

  In the drying prediction program according to the present invention, the computer stores data in the data storage unit that stores moisture content data and outdoor environment data obtained by the outdoor environment sensor each time moisture content data is obtained from the moisture sensor. The computer functions as a means, and the computer functions as a fifth detection means for detecting a change in outdoor environment data at the time of prediction from outdoor environment data before the time of prediction stored in the data storage unit, and the computer The drying time prediction means is characterized in that the drying time is predicted based on the detection results of the first detection means, the second detection means and the fifth detection means.

  The drying prediction program according to the present invention is characterized in that the environmental data includes at least data of temperature, humidity, wind speed and illuminance.

  In the drying prediction program according to the present invention, the computer is used as the data storage means, and data of moisture content, outdoor environment data, and indoor environment data measured by the indoor environment sensor are obtained each time moisture content data is obtained from the moisture sensor. A function is made to be stored in a storage unit, and the computer is functioned as a fourth detection means for detecting a change in indoor environment data at the time of prediction from indoor environment data before the time of prediction stored in the data storage unit. The outdoor drying time is predicted based on the detection result of the first detection means, the second detection means, and the fifth detection means, with the computer as the drying time prediction means, and the first time A function to predict indoor drying time based on detection results by the detection means, the second detection means and the fourth detection means The features.

  In the drying prediction program according to the present invention, the computer is caused to function as sixth detection means for detecting whether the water content data obtained at the time of prediction exceeds an eight-minute drying threshold lower than the drying completion water threshold. The computer functions as the drying time predicting means to predict an eight-minute drying time based on the detection result of the detecting means provided.

  According to the present invention, the detection result by the first detection means for detecting whether the moisture content data obtained at the time of prediction exceeds the dryness completion moisture threshold value by the moisture sensor that measures the moisture content data of the drying object Since the drying time is predicted based on the detection result by the second detection means for detecting the amount of change of the water content data obtained at the time of prediction from the comparison target water content data before the prediction time, It does not have to be classified, and therefore it is possible to predict the drying time whatever the drying object is.

BRIEF DESCRIPTION OF THE DRAWINGS The block diagram of 1st Embodiment of the dryness prediction system which concerns on this invention. The perspective view showing the composition of the sensor clip used in the embodiment of the dryness prediction system concerning the present invention. The figure for demonstrating the approximated curve and drying completion moisture threshold value which are used in embodiment of the drying prediction system which concerns on this invention. The flowchart which shows operation | movement of 1st Embodiment of the dryness prediction system which concerns on this invention. The block diagram of 2nd Embodiment of the dryness prediction system which concerns on this invention. The figure which shows an example of the water content data and meteorological data for showing operation | movement of 2nd Embodiment of the dryness estimation system which concerns on this invention The block diagram of 3rd Embodiment of the dryness prediction system which concerns on this invention. The block diagram of 4th Embodiment of the dryness prediction system which concerns on this invention. The block diagram of 5th Embodiment of the dryness prediction system which concerns on this invention. The block diagram of 6th Embodiment of the dryness prediction system which concerns on this invention. The flowchart which shows operation | movement of 6th Embodiment of the dryness estimation system which concerns on this invention.

  Hereinafter, embodiments of a drying prediction system and a drying prediction program according to the present invention will be described with reference to the attached drawings. In each of the drawings, the same components are denoted by the same reference numerals and redundant description will be omitted. FIG. 1 shows a configuration diagram of a first embodiment of a dryness prediction system according to the present invention. The drying prediction system according to the present embodiment includes a moisture sensor 10 or the like that measures the moisture content data (in fact, for example, the impedance corresponding to the moisture content) of the drying object, and as a fixture attached to the drying object A sensor clip 1 is used.

  The sensor clip 1 may be, for example, of three types as shown in FIG. 2, and any one of three types may be used as needed. The first type of sensor clip 1 shown in FIG. 2A is provided with two electrodes 102 and 103 extending in parallel from one another from a base 101. Although not shown, this first type can be used in combination with, for example, a magnet molded of insulating resin. That is, the sensor clip 1 is placed on one surface of the drying object, the magnet is placed on the opposite surface of the drying object on which the sensor clip 1 is placed, and the sensor clip 1 is attached to the drying object Can be

  The sensor clip 1 of the second type shown in FIG. 2B is provided with two electrodes 102 and 103 from the base 101 so as to face each other. The structure can be biased in the direction of contact. This second type of sensor clip 1 can be used by sandwiching the object to be dried between the electrode 102 and the electrode 103. This second type of sensor clip 1 allows to have a shape like a washing peg.

  The sensor clip 1 of the third type shown in FIG. 2 (c) is provided with two needle-like electrodes 102 and 103 from a base 101, and two needle-like electrodes for the object to be dried. Use by sticking 102, 103. This type of sensor clip 1 can be applied to a thick thing such as a duvet.

  The sensor clip 1 includes an amplifier 11, an A / D converter 12, a computer 13, a data transmitter 14, and a battery 15 in addition to the moisture sensor 10, as shown in FIG. These parts can be provided on the base 101 in the sensor clip 1 of the type shown in FIG.

  The amplifier 11 amplifies the current or voltage of an analog signal corresponding to the moisture content data obtained from the moisture sensor 10. The A / D conversion unit 12 receives an analog signal from the amplifier 11 and converts it into a digital signal. The computer unit 13 has a configuration similar to a so-called microcomputer, and controls the moisture detection timing, the data transmission unit 14 and the like. The data transmission unit 14 obtains a digital signal from the A / D conversion unit 12 and transmits the digital signal to the server 2 by wireless, for example. The battery unit 15 can be configured by a button cell, a solar cell, or the like, and the power is supplied to all parts provided in the sensor clip 1. The battery unit 15 may be provided with a power switch, and when this switch is turned on, the sensor clip 1 can start operating.

  In the system according to this embodiment, a server 2 and a notification terminal 3 are provided in addition to the sensor clip 1. The server 2 can be configured by a computer device such as a smartphone, a PDA (personal digital assistant), a personal computer and the like. The server 2 includes a data receiving unit 21, a computer unit 22, a data storage unit 20, and a data transmitting unit 23.

  The data receiving unit 21 receives digital data corresponding to the moisture content data sent from the sensor clip 1. The computer unit 22 includes a CPU, a memory such as a program storing data used by the CPU, a program, etc., and a temporary holding memory used to temporarily hold data being processed, etc. It is.

  The data storage unit 20 is used to store digital data corresponding to the water content data sent from the sensor clip 1. The data transmission unit 23 transmits, to the notification terminal 3, the information related to the dryness prediction obtained by the computer unit 22.

  The computer unit 22 includes a first detection unit 27-1, a second detection unit 27-2, a drying time prediction unit 28, and a predicted time output control unit 29. The first detection means 27-1 detects whether or not the water content data obtained at the time of prediction exceeds the drying completion water threshold TH. The drying completion water threshold value TH is a value for setting the drying completion regardless of the material of the drying object, and is set immediately before the A / D conversion value reaches a peak in the initial setting. For example, it can be set as a water content data value when the water content data change becomes 1/10 of the initial. The second detection means 27-2 detects the amount of change in the water content data obtained at the time of prediction from the comparison target water content data before the time of prediction. Assuming that the sampling interval of moisture content data is, for example, 1 minute, the comparison target moisture content data before the prediction time is the value of the data immediately before the data at the prediction time, or the average data up to a predetermined number (for example, three times) before It can be a value.

  The drying time predicting means 28 predicts the drying time based on the detection result of the first detection means 27-1 and the detection result of the second detection means 27-2. Specifically, on the basis of the detection result of the second detection means 27-2, the drying time prediction means 28 creates an approximate curve of the moisture content data change using an approximation method such as the least squares method or the polynomial approximation method. The time until the moisture content data change becomes, for example, 1/20 of the initial value is taken as the drying prediction time. A state in which the change in water content data has become, for example, a value of 1/20 or less of the initial value is referred to as a notification dry state. FIG. 3 shows an approximate curve C1 obtained initially, an approximate curve C2 obtained approaching the completion of drying, a drying completion threshold TH, and predicted times T1, T2. In this example, since the slope of the initial approximate curve C1 is small, it takes a long time until the water content data change becomes 1/20 of the initial value, and the prediction time T1 becomes a larger value than the prediction time T2 thereafter. Show. The predicted time output control means 29 outputs the predicted time by the drying time predicting means 28. This prediction time may include a dry prediction time based on the time of prediction. In addition, an equation close to the above-mentioned approximate curve C2 is set according to the water content (impedance) I and time t, and the coefficients of this equation are deformed by the data at the time of prediction and the data to be compared before comparison. You may make it obtain the approximated curve at the time of prediction.

  The prediction time output by the drying time prediction means 28 is given from the computer unit 22 to the data transmission unit 23. The data transmission unit 23 transmits this predicted time to the notification terminal 3. The notification terminal 3 includes a display device, and may be provided specially for the present system, for example, diverting a display device of another device in the home (for example, a display device of a television, etc.) It is good. The notification terminal 3 is provided with a data receiving unit 31 and a data display unit 32. The data receiving unit 31 receives the estimated drying time and sends it to the data display unit 32. The data display unit 32 is provided with a display such as an LCD and a display control unit, and the display control unit displays the estimated drying time on the display.

  In the dryness prediction system configured as described above, each of the above-described means is realized by a program, and the operation thereof will be described with reference to the flowchart shown in FIG. The operation corresponding to the flowchart shown in FIG. 4 is started by turning on the aforementioned power switch or the like. Moisture content data corresponding to the moisture content is measured in the moisture sensor 10 of the sensor clip 1 and sent to the server 2 (S11). The server 2 receives the water content data and stores it in the data storage unit 20, and the water content data value at the time of prediction and the water content data value before the time of prediction stored in the data storage unit 20 change An approximate curve is created, and a dry completion moisture threshold is determined (S12).

  Next, the amount of change of the data is determined, and the completion of drying is predicted from the approximate curve, and the amount of change exceeds the predetermined threshold value, and the amount of change becomes a predetermined range, and the estimated drying time is determined (S13). It is detected whether the water content data at the time of prediction exceeds the drying completion water threshold and the data variation amount is within the predetermined range (S14). If "NO" in this step S14, it is determined that the drying is not yet performed, and the estimated drying time is output (S15), and the process returns to step S11 to continue the processing.

  If the process branches to YES in step S14, it is determined that the drying is completed, and a message to that effect is transmitted to the notification terminal (S16), and the process is ended.

  FIG. 5 shows a configuration diagram of the dryness prediction system according to the second embodiment. In the dryness prediction system according to the present embodiment, the computer unit 22A is provided with weather data acquisition means 26. The weather data acquisition means 26 acquires the weather data at the time of prediction in the installation place of the moisture sensor 10 from the outside of the system. Specifically, the server 2A is connected to the network 80 via a wired or wireless circuit. A weather data server 90 for providing weather data is connected to the network 80. Therefore, the weather data acquisition means 26 accesses the weather data server 90 and sends a request for providing weather data at the time of prediction at the installation location of the moisture sensor 10. Since the weather data server 90 sends the corresponding weather data in response, the weather data acquisition means 26 receives the weather data via the data receiving unit 21. The meteorological data includes at least data of temperature, humidity, and wind speed.

  Furthermore, the computer unit 22A is provided with data storage means 25. This data storage means 25 receives the weather data when it acquires the moisture content data every time the moisture content data is obtained from the moisture sensor 10. It accumulates to data accumulation section 20A. For this reason, in the data storage unit 20A, a water content data DB, which is a database of water content data, and a weather DB, which is a database of weather data, are created.

  Furthermore, the computer unit 22A is provided with a third detection unit 27-3. The third detection means 27-3 detects a change in weather data at the time of prediction from the weather data before the time of prediction stored in the storage unit. The drying time predicting means 28A of the present embodiment provided in the computer unit 22A is a detection result by the first detection means 27-1, the second detection means 27-2, and the third detection means 27-3. Based on the drying time is predicted.

  Specifically, in the system configured as described above, for example, the drying time is predicted as follows. For example, in the time zone shown from 8/1 9:00 to 9:15 in FIG. 6, since there is no change in weather temperature, humidity, and wind speed, approximate curves are obtained in the same manner as in the first embodiment. Create and find the forecast time. On the other hand, in the time zone shown from 8/1 14:50 to 15:00 in FIG. 6, changes in temperature, humidity and wind speed which are meteorological data occur. For example, assuming that 8/1 14:55 is the predicted time, the humidity is 2% higher than the previous 8/1 14:50. When the humidity rises 1%, the inclination of the approximate curve is decreased by a predetermined angle, and when the humidity is decreased by 1%, a humidity rule such that the inclination of the approximate curve is increased by a predetermined angle is determined, as in the first embodiment. The obtained approximate curve is changed, and the dry prediction time is determined based on the changed approximate curve.

  Further, assuming that 8/1 15:00 is the prediction time, the humidity is increased by 2% and the wind speed is increased by 1 M as compared to the previous 8/1 14:55. The humidity is treated as described above. With regard to the wind speed, a wind speed rule such as increasing the inclination of the approximate curve by a predetermined angle when rising by 1 M and decreasing the inclination of the approximate curve by a predetermined angle by decreasing 1 M determines the same as the first embodiment along with the humidity rule. The approximate curve thus obtained is changed, and the dry prediction time is determined based on the changed approximate curve. As for the temperature, the temperature rule is set in the same manner as the humidity rule and the wind speed rule, and the approximate curve obtained in the same manner as the first embodiment is changed based on the rule including the temperature rule. The dry prediction time is determined based on the approximate curve. The processing up to the notification to the notification terminal 3 can adopt the processing of the flowchart shown in FIG. 4.

  FIG. 7 shows a configuration diagram of the dryness prediction system according to the third embodiment. In the dryness prediction system concerning this embodiment, indoor environment sensor S1 is provided. The indoor environment sensor S1 is provided in the sensor clip 1 of the first embodiment or the second embodiment, and is taken as a sensor clip 1A as a whole.

  The indoor environment sensor S1 detects the indoor environment because the sensor clip 1A is placed in the room. The indoor environment sensor S1 detects at least data of temperature (room temperature), humidity, wind speed, illuminance, temperature detection unit (temperature sensor) 16, humidity detection unit (humidity sensor) 17, wind speed detection unit (wind speed sensor) An illumination detection unit (illuminance sensor) 19 is provided.

  The data of the room temperature, humidity, wind speed and illuminance obtained by the indoor environment sensor S1 is sent from the data transmission unit 14 to the computer unit 22B via the data reception unit 21 of the server 2B. The data storage unit 25B of the computer unit 22B stores the moisture data and the indoor environment data in the data storage unit 20B when the moisture content data and the indoor environment data are obtained each time the moisture content data is obtained from the moisture sensor 10. As a result, in the data storage unit 20B, an indoor environment DB is created in addition to the moisture content data DB and the weather DB.

  Furthermore, the computer unit 22B is provided with a fourth detection unit 27-4. The fourth detection means 27-4 detects a change in indoor environment data at the time of prediction from the indoor environment data before the time of prediction stored in the data storage unit. Further, the drying time prediction means 28B provided in the computer unit 22B is a detection result by the first detection means 27-1, the second detection means 27-2, and the third detection means 27-3. Based on the outdoor drying time, the indoor drying time is predicted based on the detection results of the first detection means 27-1, the second detection means 27-2, and the fourth detection means 27-4. Do.

  In the system configured as described above, the drying time prediction means 28B predicts the outdoor drying time using meteorological data in the same manner as the drying time prediction means 28A of the second embodiment. Further, the drying time predicting means 28B predicts the outdoor drying time using indoor environment data in the same manner as the drying time predicting means 28A of the second embodiment uses the meteorological data.

  For example, in the case where there is no change in room temperature data such as air temperature, humidity, wind speed, and illuminance, an approximate curve is created in the same manner as in the first embodiment to obtain a predicted time. For changes in temperature, humidity, wind speed and illuminance, which are indoor environment data, the first implementation based on the temperature rule, humidity rule, wind speed rule and illuminance rule, which are set in advance as in the second embodiment. The approximate curve reflecting the indoor environment data is created by changing the inclination of the approximate curve obtained in the same manner as the form, and the indoor drying time is predicted based on this.

  The outdoor drying time (estimated time) and the indoor drying time (estimated time) created as described above are notified to the notification terminal 3 by the process of the flowchart shown in FIG. 4. In addition, notification of the completion of drying is also made by the processing of the flowchart shown in FIG. According to the present embodiment, it is possible to know the outdoor drying time (estimated time) and the indoor drying time (estimated time), and leave the room outside in the dry state in consideration of the time from going out to returning. You can use it conveniently by hanging out in the room and going out.

  The block diagram of the drying prediction system which concerns on FIG. 8 at 4th Embodiment is shown. In the dryness prediction system according to the present embodiment, the outdoor environment sensor S2 is provided outdoors. The outdoor environment sensor S2 has the same configuration as the indoor environment sensor S1. The outdoor environment sensor S2 has a configuration corresponding to the amplifier 11 and the A / D converter 12 of the sensor clip 1A. The data obtained from the temperature detection unit (temperature sensor) 16, humidity detection unit (humidity sensor) 17, wind speed detection unit (wind speed sensor) 18, and illuminance detection unit (illuminance sensor) 19 provided in the outdoor environment sensor S2 is the first It replaces with the weather data of 2 embodiment. Alternatively, two sensor clips 1A may be prepared, one may be provided indoors to function as an indoor environment sensor S1, and the other one may be installed outdoors to be used as an outdoor environment sensor.

  The data storage unit 25C of the computer unit 22C included in the server 2C of the present embodiment stores the moisture content data, the indoor environment data, and the outdoor environment data in the data storage unit 20C each time the moisture content data is obtained from the moisture sensor 10. Do. As a result, a moisture content data DB, an outdoor environment DB, and an indoor environment DB are created in the data storage unit 20C. The computer unit 22C is provided with a fifth detection unit 27-5. The fifth detection means 27-5 detects a change in outdoor environment data at the time of prediction from the outdoor environment data before the time of prediction stored in the data storage unit 20C.

  The computer unit 22C includes a first detection unit 27-1, a second detection unit 27-2, a fourth detection unit 27-4, a fifth detection unit 27-5, and a drying time prediction unit 28C. ing. The drying time predicting means 28C predicts the outdoor drying time based on the detection results of the first detecting means 27-1, the second detecting means 27-2 and the fifth detecting means 27-5. The indoor drying time is predicted based on the detection results of the first detection unit 27-1, the second detection unit 27-2, and the fourth detection unit 27-4.

  A method of predicting the indoor drying time based on the detection results by the first detection unit 27-1, the second detection unit 27-2, and the fourth detection unit 27-4 is provided. This is the same as that described in the third embodiment. A method of predicting the outdoor drying time based on the detection results by the first detection unit 27-1, the second detection unit 27-2, and the fifth detection unit 27-5 is provided. The outdoor drying time is predicted in the same manner as the method of predicting the indoor drying time.

  For example, when there is no change in outdoor temperature data such as air temperature, humidity, wind speed, and illuminance, an approximate curve is created in the same manner as in the first embodiment to obtain a predicted time. For changes in temperature, humidity, wind speed and illuminance, which are outdoor environment data, the first implementation based on the temperature rule, humidity rule, wind speed rule and illuminance rule, which are set in advance as in the second embodiment. An approximate curve reflecting the outdoor environment data is created by changing the inclination of the approximate curve obtained in the same manner as the mode, and the outdoor drying time is predicted based on this.

  The outdoor drying time (estimated time) and the indoor drying time (estimated time) created as described above are notified to the notification terminal 3 by the process of the flowchart shown in FIG. 4. In addition, notification of the completion of drying is also made by the processing of the flowchart shown in FIG. According to the present embodiment, it is possible to know the outdoor drying time (estimated time) and the indoor drying time (estimated time), and leave the room outside in the dry state in consideration of the time from going out to returning. You can use it conveniently by hanging out in the room and going out.

  In the present embodiment, although the sensor clip 1A is provided on the object to be dried, two sensor clips 1A are prepared, one is provided indoors to function as the indoor environment sensor S1, and the other one is outdoor. When it is installed and used as the outdoor environment sensor S2, it relates to the first approximate curve regarding the drying object provided with the sensor clip 1A provided indoors and the drying object provided with the sensor clip 1A provided outdoor The pair of outdoor drying time (estimated time) and indoor dry time (estimated time) may be obtained by using the second approximate curve. In this case, when the object to be dried is provided in the sensor clip 1A until the completion of drying, the completion of drying of the object to be dried in the room and the completion of the drying of the object to be dried outside the room And may be notified independently.

  In FIG. 9, the block diagram of the dryness prediction system based on 5th Embodiment is shown. In the dryness prediction system concerning this embodiment, sensor clip 1A provided with outdoor environment sensor S2 is equipped outdoors. The data storage unit 25D of the computer unit 22D included in the server 2D of the embodiment stores the moisture content data and the outdoor environment data in the data storage unit 20D each time moisture content data is obtained from the moisture sensor 10. As a result, a moisture content data DB and an outdoor environment DB are created in the data storage unit 20D.

  The computer unit 22D includes a first detection unit 27-1, a second detection unit 27-2, a fifth detection unit 27-5, and a drying time prediction unit 28D. In this embodiment, since the fourth detection means 27-4 is not provided, the indoor drying time is not predicted. The drying time prediction unit 28D predicts the drying time based on the detection results of the first detection unit 27-1, the second detection unit 27-2, and the fifth detection unit 27-5. A method of predicting the outdoor drying time based on the detection results by the first detection unit 27-1, the second detection unit 27-2, and the fifth detection unit 27-5 is provided. And the fourth embodiment.

  The outdoor drying time (estimated time) created as described above is notified to the notification terminal 3 by the process of the flowchart shown in FIG. 4. In addition, notification of the completion of drying is also made by the processing of the flowchart shown in FIG. According to the present embodiment, the outdoor drying time (prediction time) can be obtained from the data obtained by the outdoor environment sensor S2, and the drying time prediction can be performed based on data that is closer than the weather data.

  FIG. 10 shows a configuration diagram of the dryness prediction system according to the sixth embodiment. In the drying prediction system according to the present embodiment, the computer unit 22E includes the sixth detection unit 27-6, and the drying time prediction unit 28E includes the first configuration compared to the configuration of the drying prediction system according to the first embodiment. In addition to the drying time prediction function of the embodiments of the present invention, the eight-minute drying prediction function unique to this embodiment is provided. This function is a function of predicting the eight-minute drying time based on the detection results of the first detection unit 27-1 and the second detection unit 27-2.

  The sixth detection means 27-6 detects whether or not the water content data obtained at the time of prediction exceeds the eight-minute drying threshold lower than the drying completion water threshold TH. Here, the eight-minute drying threshold may be 80% of the drying completion water threshold TH, but it is raw drying and means a threshold of the drying state to the extent that the ironing is completed and the drying is completed, for example, It is possible to select between 80 and 100% of the dry completion moisture threshold TH. For selection, the server 2E can be provided with a switch for selection. Alternatively, when the notification dry state is "a state in which the moisture content data change has become, for example, a value of 1/20 or less of the initial value", "a moisture content data change has a value of, for example, 1/16 or less of the initial value "The state where it became" may be used as the eight-minute drying threshold, and furthermore, it is a value between 80 and 100% of the drying completion water threshold TH, and "the water content data change becomes, for example, a value of 1/16 or less of the initial value. It is good also as an eight-minute dryness threshold. In addition, when the object to be dried is dried overnight, such as "dried fish", the eight-minute drying threshold may be used.

  During the function of the drying time predicting means 28E, the operation by the function of predicting the eight minutes drying time based on the detection results of the first detecting means 27-1 and the second detecting means 27-2 provided in this embodiment Will be described with reference to the flowchart of FIG. Based on the approximate curve obtained by the drying prediction function, the eight-minute drying threshold as described above is determined (S21), and the amount of change of the obtained water content data is determined, and the time exceeding the eight-minute drying threshold is obtained from the approximate curve. The prediction is made to obtain an eight-minute drying prediction time (S22).

  It is detected whether the water content data at the time of prediction exceeds the eight-minute drying threshold (S23). If NO in this step S23, it is determined that the drying for eight minutes has not been performed, the predicted drying time for eight minutes is output (S24), and the process returns to step S21 to continue the processing.

  If the process branches to YES in step S23, it is determined that the drying for eight minutes is completed, a message to that effect is transmitted to the notification terminal (S25), and the process is ended. According to the present embodiment, in addition to the completion of the drying, the eight minutes drying completion and the eight minutes drying predicted time are notified, so that the drying object can be taken in the drying state desired by the user.

  The eight minutes drying prediction function by the sixth detection means 27-6 and the drying time prediction means 28E, which the present embodiment has, may be included in the second to fifth embodiments.

DESCRIPTION OF SYMBOLS 1, 1A sensor clip 2, 2A, 2B, 2C, 2D server 3 notification terminal 10 moisture sensor 11 amplifier 12 A / D conversion part 13 computer part 14 data transmission part 15 battery part 20, 20A, 20B, 20C, 20D Data storage unit 21 Data reception unit 22, 22A, 22B, 22C, 22D, 22E Computer unit 23 Data transmission unit 25, 25B, 25C, 25D Data storage unit 26 Weather data acquisition unit 27-1 First detection unit 27-2 Second detection means 27-3 Third detection means 27-4 Fourth detection means 27-5 Fifth detection means 27-6 Sixth detection means 28, 28A, 28B, 28C, 28D, 28E Drying time Prediction means 29, 29A, 29B, 29C, 29D, 29E predicted time output control means 31 data receiving unit 32 data display unit

Claims (17)

A moisture sensor that measures moisture content data of the object to be dried;
First detection means for detecting whether or not the water content data obtained at the time of prediction exceeds the drying completion water threshold;
A second detection means for detecting the amount of change of the water content data obtained at prediction time from the comparison target water content data before the prediction time;
Drying time predicting means for predicting a drying time based on a detection result by the first detection means and a detection result by the second detection means;
Prediction time output control means for outputting the prediction time by the drying time prediction means;
A dryness prediction system characterized by comprising. Weather data acquisition means for acquiring weather data at the time of prediction at the installation location of the moisture sensor from the outside of the system;
A data storage unit that stores water content data each time water content data is obtained from the water content sensor, and meteorological data is stored in the data storage unit when the data is obtained;
Third detection means for detecting a change in meteorological data at the time of prediction from meteorological data before the time of prediction accumulated in the data storage unit;
Equipped with
The drying time according to claim 1, wherein the drying time predicting means predicts the drying time based on detection results by the first detection means, the second detection means, and the third detection means. Forecasting system.   The dryness forecasting system according to claim 2, wherein the weather data includes at least data of temperature, humidity, and wind speed. Equipped with indoor environment sensor to measure indoor environment data,
The data accumulation means accumulates meteorological data in the data accumulation unit when the moisture amount data and the indoor environment data are acquired each time the moisture amount data is obtained from the moisture sensor,
And fourth detection means for detecting a change in indoor environment data at the time of prediction from room environmental data before the time of prediction accumulated in the data storage unit,
The drying time predicting means predicts the outdoor drying time based on the detection results of the first detecting means, the second detecting means and the third detecting means, and the first detecting means and the first detecting means The indoor drying time is predicted based on the detection results of the second detection means and the fourth detection means,
The dryness prediction system according to claim 2 or 3 characterized by things. An outdoor environment sensor that measures outdoor environment data;
Data storage means for storing weather data in the data storage unit when the moisture content data and the outdoor environment data obtained by the outdoor environment sensor are obtained each time the water content data is obtained from the water sensor;
Fifth detection means for detecting a change in outdoor environment data at the time of prediction from outdoor environment data before the time of prediction stored in the data storage unit;
Equipped with
The drying time according to claim 1, wherein the drying time predicting means predicts the drying time based on detection results by the first detection means, the second detection means, and the fifth detection means. Forecasting system.   The dryness forecasting system according to claim 5, wherein the environmental data includes at least data of temperature, humidity, wind speed and illuminance. Equipped with indoor environment sensor to measure indoor environment data,
The data storage means stores the moisture content data, the outdoor environment data and the indoor environment data in the data storage unit each time the moisture content data is obtained from the moisture sensor,
And fourth detection means for detecting a change in indoor environment data at the time of prediction from room environmental data before the time of prediction accumulated in the data storage unit,
The drying time predicting means predicts the outdoor drying time based on the detection results of the first detecting means, the second detecting means and the fifth detecting means, and the first detecting means and the first detecting means The drying prediction system according to claim 5 or 6, wherein the indoor drying time is predicted based on the detection results of the second detection unit and the fourth detection unit. A sixth detection means for detecting whether the water content data obtained at the time of prediction exceeds the eight-minute drying threshold lower than the drying completion water threshold;
The drying prediction system according to any one of claims 1 to 7, wherein the drying time prediction unit predicts an eight-minute drying time based on a detection result of a detection unit provided. A fixture comprising at least a moisture sensor in each sensor and attached to the object to be dried;
A computer device comprising each detection means and a drying time prediction means;
The drying prediction system according to any one of claims 1 to 8, further comprising: Computer,
First detection means for detecting whether or not the moisture content data obtained at the time of prediction from the moisture sensor that measures the moisture content data of the drying object exceeds the dryness completion moisture threshold;
A second detection means for detecting the amount of change in the water content data obtained at prediction time from the comparison target water content data before the prediction time;
Drying time prediction means for predicting the drying time based on the detection result by the first detection means and the detection result by the second detection means,
Prediction time output control means for outputting prediction time by the drying time prediction means;
A dry forecasting program characterized in that it functions as. The computer,
Weather data acquisition means for acquiring weather data at the time of prediction at the installation location of the moisture sensor from the outside of the system,
Data storage means for storing weather data in the data storage unit when the water content data is obtained each time the water content data is obtained from the water content sensor,
Third detection means for detecting a change in meteorological data at the time of prediction from meteorological data before the time of prediction accumulated in the data storage unit;
To act as
The computer functions as the drying time prediction means to predict the drying time based on the detection results of the first detection means, the second detection means, and the third detection means. The drying prediction program according to claim 10.   The drying prediction program according to claim 12, wherein the weather data includes at least data of temperature, humidity, and wind speed. The computer functions as data storage means to store water content data and indoor environment data each time water content data is obtained from the water sensor, and to store meteorological data in the data storage unit when it is obtained,
The computer is caused to function as fourth detection means for detecting a change in indoor environment data at the time of prediction from room environmental data before the time of prediction stored in the data storage unit,
The outdoor drying time is predicted based on the detection results of the first detection means, the second detection means, and the third detection means, using the computer as the drying time prediction means, and the first detection. Function to predict the indoor drying time based on the detection result by the means, the second detection means, and the fourth detection means
The drying prediction program according to claim 11 or 12, characterized in that: Causing the computer to function as data storage means for storing in the data storage unit the moisture content data and the outdoor environment data obtained by the outdoor environment sensor each time moisture content data is obtained from the moisture sensor;
The computer is caused to function as a fifth detection unit that detects a change in outdoor environment data at the time of prediction from outdoor environment data before the time of prediction stored in the data storage unit,
The computer functions as the drying time predicting means to predict the drying time based on the detection results of the first detection means, the second detection means, and the fifth detection means. The drying prediction program according to claim 10.   The drying prediction program according to claim 14, wherein the environmental data includes at least data of temperature, humidity, wind speed and illuminance. The computer functions as a data storage unit to store moisture content data, outdoor environment data, and indoor environment data measured by the indoor environment sensor in a data storage unit each time moisture content data is obtained from the moisture sensor. ,
The computer is caused to function as fourth detection means for detecting a change in indoor environment data at the time of prediction from room environmental data before the time of prediction stored in the data storage unit,
The outdoor drying time is predicted based on the detection result of the first detection means, the second detection means, and the fifth detection means, with the computer as the drying time prediction means, and the first detection The drying prediction program according to claim 14 or 15, wherein the drying prediction program functions to predict the indoor drying time based on the detection result by the means, the second detection unit, and the fourth detection unit. The computer is caused to function as a sixth detection means for detecting whether the water content data obtained at the time of prediction exceeds an eight-minute drying threshold lower than the drying-completed water threshold,
17. The computer according to any one of claims 10 to 16, characterized in that the computer functions as the drying time predicting means to predict an eight-minute drying time based on the detection result of the detecting means provided. Dry forecasting program described.

Images