JP7441731B2 - Information processing device, information processing method, and computer program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and a computer program that display the operating status of equipment.

An invention of a plant monitoring device that stores the date and time when an event such as an alarm occurs and displays a trend graph with the stored date and time of the event as the center of the time axis has been disclosed (for example, Patent Document 1). According to the plant monitoring device disclosed in Patent Document 1, trends in a plurality of pieces of operational information related to the occurrence of an alarm can be quickly confirmed.

JP 2019-102037 Publication

For example, a submersible pump installed in a storage tank such as a manhole that stores sewage may be affected by air contamination due to an increase in the amount of sewage flowing in, foreign matter contamination, incorrect time setting from start to stop, malfunction of water level gauge, etc. Unsteady operation may occur during each operation. After abnormal operation, normal operation may be restored and no alarm is generated, but it is necessary to monitor the operating status of equipment, not just submersible pumps, over time to understand the cause of the trouble.

An object of the present disclosure is to provide an information processing device, an information processing method, and a computer program that can visually check the operating status of equipment and easily determine whether it is operating normally or abnormally.

An information processing device according to an aspect of the present disclosure includes: a first acquisition unit that acquires operating statuses of a plurality of devices; a derivation unit that derives a difference between the acquired operating statuses of the plurality of devices; and a first output unit that outputs image information including the difference.

An information processing method according to an aspect of the present disclosure acquires operating conditions of a plurality of devices, derives a difference between the obtained operating conditions of the plurality of devices, and outputs image information including the operating condition and the difference. .

A computer program according to an aspect of the present disclosure includes a process of acquiring operating conditions of a plurality of devices, deriving differences between the obtained operating conditions of the plurality of devices, and outputting image information including the operating conditions and the differences. have the computer execute it.

According to the present disclosure, it is possible to visually check the operating status of a plurality of devices and easily determine whether the device is operating normally or abnormally.

FIG. 1 is a schematic diagram showing a configuration example of an information processing system according to a first embodiment. It is a perspective view showing composition of a control device and a manhole pump device. FIG. 1 is a block diagram showing the configuration of an information processing device. FIG. 2 is an explanatory diagram showing an example of a record layout of a device DB. It is an explanatory view showing an example of the record layout of driving information DB. It is an explanatory diagram showing an example of the record layout of list DB. It is an explanatory diagram showing an example of the record layout of list DB. FIG. 2 is an explanatory diagram illustrating the configuration of a learning model. FIG. 2 is a block diagram showing the configuration of a terminal. FIG. 2 is a block diagram showing the configuration of a control device and the like. 2 is a flowchart illustrating an example of a determination processing procedure executed by the information processing system. 3 is a flowchart illustrating an example of a processing procedure for displaying a list executed by the information processing system. FIG. 3 is a schematic diagram showing an example of a display image. FIG. 3 is a schematic diagram showing an example of a display image. FIG. 3 is a schematic diagram showing an example of a display image. It is an explanatory diagram showing an example of the record layout of graph DB. It is an explanatory diagram showing an example of the record layout of list DB. 2 is a flowchart illustrating an example of a process procedure for displaying a trend graph executed by the information processing system. FIG. 3 is a schematic diagram showing an example of a display image. FIG. 3 is a schematic diagram showing an example of a display image. FIG. 3 is a schematic diagram showing an example of a display image.

(Summary of the present invention)
An information processing device according to one aspect of the present invention includes: a first acquisition unit that acquires the operating status of a plurality of devices; a derivation unit that derives a difference between the acquired operating status of the plurality of devices; and a first output unit that outputs image information including the difference.

According to the above configuration, the user can determine whether the operation is normal or abnormal by checking the operating conditions of the plurality of devices and comparing the operating conditions of the plurality of devices.

The above-described information processing apparatus may further include a determination section that determines the degree of operation of the device based on the difference, and the image information may include determination information determined by the determination section.

Here, the degree of operation refers to either normal operation or abnormal operation, and a plurality of degrees may be set for each operation.
According to the above configuration, the degree of driving can be determined with high accuracy.

In the above-mentioned information processing device, the determination unit adds the operating status of the plurality of devices acquired by the first acquisition unit to a learning model that outputs the degree of operation of the device when the operating status of the plurality of devices is input. A situation may be input to determine the degree of operation of the device.

According to the above configuration, the degree of driving can be determined easily and accurately.

The information processing device described above includes a second acquisition unit that acquires driving information related to the driving status of a plurality of devices, and the first acquisition unit acquires the driving information based on the driving information acquired by the second acquisition unit. When the situation is acquired and the selection of the judgment information outputted by the first output unit is accepted, the driving information trend graph includes an enlarged display of a period including the time when the driving situation related to the judgment information is derived. It may also include a second output section that outputs image information.

According to the above configuration, it is possible to confirm operation information when abnormal operation occurs.

In the above-described information processing device, the image information may include a column for inputting a comment by a user of the device.

According to the above configuration, comparisons with other periods, comments regarding rule-based determinations and learning model determinations, information regarding driving conditions, etc. can be stored and referenced.

In the above information processing device, the first output unit may output the image information depending on a period.

According to the above configuration, driving conditions, determination information, etc. for a desired period can be acquired. In addition, it is possible to check the operating status of equipment over the medium to long term by observing fixed points.

In the information processing device described above, the plurality of devices are a plurality of submersible pumps for discharging water stored in the same storage tank, and the operation status includes the number of pump operations, the operation time, and the number of alternate operations. , the amount of change in the operating current, the driving frequency, and the discharge amount.

As mentioned above, submersible pumps are subject to unsteady operation each time they are operated due to an increase in the amount of sewage flowing in, foreign matter contamination, air contamination due to incorrect time settings from start to stop, malfunction of the water level gauge, etc. It may happen. Submersible pumps are often operated alternately. According to the above configuration, even if no alarm occurs, the degree of operation can be determined by comparing the operating status of multiple identical submersible pumps, and the cause of trouble can be determined by monitoring the operating status over time. can.

An information processing method according to one aspect of the present invention acquires operating conditions of a plurality of devices, derives differences in the obtained operating conditions of the plurality of devices, and outputs image information including the operating conditions and the differences. .

According to the above configuration, the user can confirm whether the device is operating normally or abnormally by comparing the operating conditions of a plurality of devices.

A computer program according to one aspect of the present invention acquires information on the operating status of a plurality of devices, derives a difference between the acquired operating statuses of the plurality of devices, and outputs image information including the operating status and the difference. Have a computer perform a process.

According to the above configuration, the user can confirm whether the device is operating normally or abnormally by comparing the operating conditions of a plurality of devices.

DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be specifically described below with reference to drawings showing embodiments thereof.
(First embodiment)
FIG. 1 is a schematic diagram showing an example of the configuration of an information processing system 100 according to the first embodiment. In the information processing system 100, an information processing device 1 of an information management company, a user's terminal 2, and a control device 3 of a manhole pump device 4 are connected via a network N such as the Internet. The manhole pump device 4 includes two submersible pumps (hereinafter referred to as pumps) 41 as devices. The control device 3 controls the drive of the pump 41. The information processing device 1, the terminal 2, and the control device 3 each transmit and receive information via the network N.
The information processing device 1 is, for example, a server computer. The information processing device 1 acquires operating information of the pump 41 from the control device 3 and transmits to the terminal 2 a list of operating conditions and determination results derived based on the operating information.

The operating status is information regarding the operating status of the pump 41 obtained by analyzing the operating information of the pump 41, such as the number of operating times of the pump 41, the operating time, the number of alternate operations, the amount of change in operating current, and the driving frequency. , and discharge amount.

The terminal 2 is an information terminal device having a display function, and is, for example, a personal computer, a smartphone, a tablet terminal, or the like. The user of the terminal 2 is, for example, a manager of the manhole pump device 4 (for example, a local government official, a facility maintenance manager, etc.), and the user uses the terminal 2 to monitor the operating status of the pump 41. Each user manages, for example, a plurality of manhole pump devices 4 installed within the area of the local government in charge of the user.

FIG. 2 is a perspective view showing the configuration of the control device 3 and the manhole pump device 4. As shown in FIG. The control device 3 is installed inside a control panel 300 provided near the manhole pump device 4, for example. The control device 3 is electrically connected to the pump 41 and the water level gauges 42 and 46, and acquires operating information including information regarding the operating time and operating current of the pump 41, and information regarding the water level of the manhole pump device 4. do. Further, the control device 3 is electrically connected to measurement devices such as a pressure gauge (not shown) that measures the discharge pressure of the pump 41 and a flowmeter (not shown) that measures the discharge amount. Operation information including the discharge pressure and discharge amount may be acquired. The control device 3 transmits the acquired driving information to the information processing device 1.

The manhole pump device 4 includes a storage tank 44 that stores sewage flowing in from an inflow pipe 43, two pumps 41, 41 that force-feeds the sewage stored in the storage tank 44 toward a discharge pipe 45, and a storage tank. The water level gauges 42 and 46 are provided to measure the water level of the wastewater stored in the water tank 44.

The pump 41 includes a pump body 411 and a drive device 412 such as a motor disposed above the pump body 411. Normally, the two pumps 41, 41 are operated alternately, and for example, when an abnormally high water level occurs, the two pumps 41, 41 are operated simultaneously to increase the amount of sewage pumped. The control device 3 detects the operating time, operating current, and water level of the storage tank 44 from when the drive device 412 of each pump 41 starts to drive until it stops. Note that the number of pumps 41 installed in the manhole pump device 4 is not limited to two. The number of pumps 41 installed in the manhole pump device 4 may be one, or three or more pumps 41 may be installed. Further, an in-tank stirring device JV (not shown) serving as a jetting mechanism may be provided in the pump 41 or the pressure-feeding piping in the storage tank 44. The in-tank agitation device JV creates a powerful stirring vortex in the storage tank 44 with water ejected from the pump 41, suppresses the accumulation of sediment, the sticking of oils and fats, and the generation of scum, making it possible to save maintenance.

The water level gauge 42 is, for example, a bubble type water level gauge or an injection pressure type water level gauge. The bubble-type water level gauge 42 includes an air discharge part 421 installed at the bottom of the storage tank 44, an air pump (not shown), an air tube 422 connecting the air pump and the air discharge part 421, a pressure sensor, and a controller ( (not shown). The water level gauge 42 detects the water level of wastewater stored in the storage tank 44 . Furthermore, a water level gauge 46 is installed in the storage tank 44 as a backup water level gauge for detecting an abnormally high water level in the storage tank 44. The water level gauge 46 may be anything that can detect a predetermined water level, and may be a float type water level gauge, for example. Information on the water level detected by the water level gauges 42 and 46 is transmitted to the control device 3.

The control device 3 receives the water level detected from the water level gauges 42 and 46. When the water level in the storage tank 44 becomes equal to or higher than the predetermined drive water level, the control device 3 drives the drive device 412 of one of the pumps 41. By driving the pump 41, the wastewater in the storage tank 44 is sent to the discharge pipe 45, and the water level in the storage tank 44 is lowered. When the water level in the storage tank 44 reaches a predetermined stop water level, the control device 3 stops the drive device 412 of the pump 41. As a result, drainage of wastewater by the pump 41 is completed. After that, the wastewater flowing in from the outside via the inflow pipe 43 is stored in the storage tank 44 again, and when the water level rises, the control device 3 drives the drive device 412 of the other pump 41. When the waste water in the storage tank 44 is discharged by the same process in the other pump 41 and the water level becomes below the stop water level, the control device 3 stops the drive device 412 of the other pump 41. In the manhole pump device 4, such a series of processes is repeated. In addition, the control device 3 includes a protection device (for example, a 3E relay, etc.) electrically connected to the drive device 412, and the protection device detects abnormalities in the drive device 412 (for example, overload detection, open phase detection, etc.). , reverse operation detection, etc.). In addition, the pump 41 has a built-in protection device (for example, an electrode-type water intrusion detector, a float-type water intrusion detector, etc.) for detecting water intrusion into the drive device 412. When the submergence of 412 is detected, the control device 3 can receive the information. By electrically connecting the protection device of the pump 41 to the control device 3, abnormalities in the pump 41 can be detected. Although the above protection device is described as a representative example, the present invention is not limited to this as long as it can detect an abnormality in the device.

Note that the equipment to which the information processing system 100 is applied is not limited to the pump 41 of the manhole pump device 4. The pump 41 may be provided in other water pumping devices. Furthermore, the device is not limited to the pump 41 that pumps out water, but may also be a blower that sends air to an air diffuser such as a Roots blower or a turbo blower. Alternatively, it may be a stirrer for stirring the inside of the wastewater storage tank.

The configuration and detailed processing contents of the information processing system 100 will be described below.
FIG. 3 is a block diagram showing an example of the configuration of the information processing device 1. As shown in FIG. The information processing device 1 includes a control section 10 that controls the entire device, a storage section 11, and a communication section 12. The information processing device 1 can be configured with one or more servers. A plurality of information processing apparatuses 1 may perform distributed processing. It may be one of a plurality of server computers (instances) virtually generated on one large computer.
The control unit 10 can be configured with a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. The control unit 10 may include a GPU (Graphics Processing Unit). The control unit 10 reads a program to be described later and executes various processes.

The communication unit 12 has a function of communicating with the terminal 2 and the control device 3 via the network N, and sends and receives required information. Specifically, the communication unit 12 receives the operation information of the pump 41 transmitted by the control device 3. The communication unit 12 transmits image information including a list of driving conditions and determination results derived by the control unit 10 based on the driving information to the terminal 2.
The communication unit 12 sends weather information (e.g., precipitation amount, predicted rainfall amount, temperature, humidity, lightning strikes, etc.) near the installation location based on the location information (e.g., address, GPS information, etc.) of the manhole pump device 4 to the weather server. It may also be obtained from The weather information can be referred to when determining the operating status of the manhole pump device 4, such as the inflow of rainwater into the inflow pipe 43 due to precipitation.

The storage unit 11 includes a large capacity memory, a hard disk, and other nonvolatile memory. The control unit 10 stores programs necessary for executing processing, a program 111 for displaying a list of operating conditions, which will be described later, a learning model 112, a device DB 113, an operating information DB 114, and a list DB 115. ing. Note that the storage unit 11 may be composed of a plurality of storage devices, or may be an external storage device connected to the information processing device 1.

The program 111 and the learning model 112 stored in the storage unit 11 may be provided by a recording medium 50 on which the program 111 and the learning model 112 are readably recorded. The recording medium 50 is, for example, a portable memory such as a USB memory, an SD card, a micro SD card, or a compact flash (registered trademark). The program 111 and learning model 112 recorded on the recording medium 50 are read from the recording medium 50 using a reading device (not shown) and installed in the storage unit 11. Further, the program 111 and learning model 112 stored in the storage unit 11 may be provided by communication via the communication unit 12.

FIG. 4 is an explanatory diagram showing an example of the record layout of the device DB 113. The device DB 113 is a database that stores information about the manhole pump device 4. The device DB 113 stores, for example, the device ID of the manhole pump device 4, the ID of the pump 41, and location information (for example, the latitude and longitude of the installation location of the manhole pump device 4 on the road) in association with the user ID of each of the plurality of users. ) is remembered. The location information may be the address of the installation location. In FIG. 4, ID No. The device information of the first user is shown. The contents of the device DB 113 are acquired when the user subscribes to the management service for the manhole pump device 4. The contents stored in the device DB 113 are not limited to the contents shown in FIG.

FIG. 5 is an explanatory diagram showing an example of the record layout of the driving information DB 114. The operation information DB 114 is a database that stores operation information of the pump 41. The operation information DB 114 stores operation information for each pump 41. FIG. 5 shows ID No. The operation information of the pump 41 of 101-1 is stored. The operation information DB 114 stores a date and time column, an operation time column, an operation current column, and a water level column. The date and time column stores the start date and time of operation of the pump 41 and the stop date and time. The operation time column stores the operation time based on the difference between the stop date and time of operation and the start date and time of operation. The operating current series stores time-series data of operating currents acquired at predetermined intervals (eg, 1 second to 1 minute intervals) during the operating time. The operating current sequence may be obtained by extracting and storing information of a corresponding period in a date/time sequence from those continuously measured at predetermined intervals regardless of the drive start date and time and stop date and time of the pump 41. The water level series stores time-series data of water levels acquired at predetermined intervals (eg, 1 second to 1 minute intervals) during operation time. The water level sequence may be obtained by extracting and storing information for a corresponding period in a date/time sequence based on water levels that are continuously measured at predetermined intervals, regardless of the driving start date and time and stop date and time of the pump 41.
The operating information DB 114 may store operating information obtained from the protection device of the pump 41 (for example, overload, open phase, motor submersion detection, etc.) or precipitation obtained from a weather server.

The information processing device 1 acquires operating information including information on the operating time, operating current, and water level of the pump 41 from the control device 3 . Each piece of driving information stored in the driving information DB 114 is stored by the control unit 10 each time the control unit 10 acquires the driving information from each control device 3. The contents stored in the driving information DB 114 are not limited to the example shown in FIG. 5.

An example of the record layout of the list DB 115 is shown in FIGS. 6 and 7. The list DB 115 stores, for example, a list for every seven days for each manhole pump device 4. In FIGS. 6 and 7, as an example, ID No. It shows a list of the manhole pump device 4 of ABC101 for 7 days from ** month ** day to ** day. In FIGS. 6 and 7, "No. 1 pump" is ID No. 101-1, and "No. 2 pump" is ID No. 41. 101-2 is the pump 41. The list DB115 has No. column, large item string, item string, result string, judgment string, and comment string. No. The column is the number for each major item. I remember. Major items include difference in number of operations, difference in average operation time, alternating operation, amount of change in operating current, discharge amount, drive frequency, suspected airlock, suspected dry running, suspected auto cut, joint venture operation, and logic. Examples include abnormalities, review of operating water level range, number of simultaneous operations, amount of sewage inflow, and water level.

In the item "7-day total difference" of the major item "difference in number of operations," the total number of times each pump 41 was operated for seven days and the difference between the total number of times each pump was operated are stored in the result column. The "number of driving times" corresponds to the number of times driving times are stored in the driving information DB 114. In the item "Date of occurrence of maximum difference," the day when the maximum difference in the total number of operations in a day occurred is stored, and the total number of times each pump 41 was operated on that day and the difference between the total number of operations of each pump 41 on that day are stored in the result column. ing.

In the item "Difference in average operating time for 7 days" of the major item "Difference in average operating time", the average operating time for each pump 41 for 7 days and the difference between the respective average operating times are stored in the result column. . In the item "Date of occurrence of maximum difference," the day on which the maximum difference in daily average operating hours occurred is stored, and the average operating time of each pump 41 on that day and the difference between the respective average operating times are stored in the result column. ing.

In the item ``Number of times alternate operation has not been performed in 7 days'' of the major item ``Alternate operation'', the difference in the number of times each pump 41 is operated is stored, and in the item ``Date of maximum difference occurrence'', the maximum difference in the number of operations is stored. The day on which this occurred is stored, and the difference in the number of times of driving on that day is stored in the result column. The number of times the pump is not operated alternately may be determined by not only storing the difference in the number of times of operation per day but also counting the number of times the same pump is operated when the pump 41 is started and stopped and the water level rises next time. With this configuration, for example, even if one pump is operated five times in a row and then the other pump is operated five times in a row, the number of times the pumps are not alternately operated can be correctly counted.

For the major items "Amount of change in operating current" and "Discharge amount", the standard value of each pump 41 is stored in the item column, and the 7-day average value, maximum value (date), and value of each pump 41 are stored in the result column. Remembers the minimum value (date). The amount of change in the operating current is the amount of change per unit time, and the discharge amount is the amount of water discharged per minute (m ³ ).

In the major item "driving frequency", the standard number of times for each pump 41 is stored in the item column, and the average value and maximum value (date and time) for each pump 41 over 7 days are stored in the result column. The driving frequency is the number of driving times per hour. Note that the reference number of driving frequencies may be set to different values for each manhole pump 4 and each submersible pump 41, taking into consideration the inflow amount and the capacity of the pump 41, or the same value may be set within a predetermined applicable range. May be set.

For the major items "Suspected airlock" and "Suspected dry running", the result column stores the average value of the number of times for each pump 41 over 7 days, and the time of airlock or dry running at the maximum occurrence date and time. . "Airlock" includes a state in which the pump 41 is unable to pump water because the air that entered the pump body 411 before driving the pump 41 has not completely escaped and the pump 41 starts driving. "Dry operation" includes a state in which, after the pump 41 is driven, air is sucked in for some reason and water cannot be pumped.

In the major item "suspected auto-cut", the result column stores the average number of auto-cut operations for each pump 41 over 7 days and the number of auto-cut operations at the maximum date and time of occurrence. "Auto cut" is a protection device built into the drive device 412, which cuts off the electric circuit to the motor of the pump 41 when an overcurrent occurs in the motor or when the motor abnormally overheats. to stop the motor.
If the major items are the amount of change in operating current, discharge amount, drive frequency, suspected air lock, suspected dry running, and suspected auto cut, the differences between each pump 41 may be stored in the result column.

For the major item "JV operation", the results column shows the difference in the weekly average operating time (operating time) of the JV in-tank stirring device of each pump 41, as well as the date and operation when the operating time difference is maximum and minimum. Remembers the time difference.
For the items ``Stop time from standard minimum water level'' and ``Time from return to abnormal high water level until pump stops'' of the major item ``Logical abnormality'', the maximum time (date) and minimum time (date) are stored in the result column. are doing. For the items "Abnormally high water level occurs below the standard starting water level", "Abnormally high water level does not occur above the standard starting water level + 1m", and "Operation signal not detected (operating current detected)", the results column shows the week The total number of times and the last occurrence date and time are memorized.

In the major item "Review of operating water level width", the average operating time and the number of drives per hour are stored in the result column.
In the major item "Number of simultaneous operations," the number of simultaneous operations for the seven days from **day of **month to **day of month ** is stored in the result column for the year before last, last year, and this year.
In the major item "sewage inflow amount", the weekly average inflow amount and maximum inflow amount are stored in the result column.
In the major item "water level", the start water level and the stop water level are stored in the result column.

The control unit 10 derives the driving situation for each item based on the driving information stored in the driving information DB 114, and stores the results in a result column. The control unit 10 may generate a learning model that outputs a driving situation when driving information is input, and derive the driving situation based on the learning model.

The judgment column stores judgment information of "normal", "observation", and "caution" for the pump 41 in which abnormal operation has occurred, based on a comparison of the operating status of each pump 41. The degree of abnormality is greater for "caution" than for "observation."

The control unit 10 uses the difference, average value, maximum value, minimum value, etc. of the results of the operating conditions of each pump 41 to determine the obtained operating conditions based on the rule base of the relationship between the results of the operating conditions and the determination information. Derivation of judgment information corresponding to the result. That is, the determination information is derived based on a reference value (threshold value) or a determination formula of the driving status results for each item. A plurality of threshold values are set in stages for the results of the driving situation, and based on the obtained result values and threshold values, whether it is "normal", "observation", or "caution" is derived. Good too. No. In the case of a difference in the number of operations of 1, for example, when the difference in the total number of operations of each pump 41 is equal to or greater than the first threshold value, it is determined as "observation", and when the difference is equal to or greater than the second threshold value, it is determined as "caution". It is determined that No. In the case of the difference between the average operating times of the two pumps 41, for example, when the difference between the average operating times of each pump 41 is equal to or greater than the first threshold value, it is determined as "observation", and when the difference is equal to or greater than the second threshold value, it is determined as "caution". ”. No. In the case of the amount of change in the operating current of No. 4, for example, the average value X of the pump 41 is (A+a)≦X<(A+b), or (A-b ) < No. In the case of a drive frequency of 6, for example, with respect to the reference number of times B of the pump 41, the drive frequency Y of the pump 41 is (B+c)≦Y<(B+d), or (B−d)<Y≦(B−c). In some cases, it is determined to be "observation", and when Y≧(B+d) or Y≦(B-d), it is determined to be "caution". No. In the case of suspected airlock in item 7, for example, if the airlock time at the maximum occurrence date and time is equal to or greater than the first threshold, it is determined to be "Observe", and when the difference is equal to or greater than the second threshold, it is determined to be "Caution". do. No. In the case of suspicion of idle running in item 8, for example, if the time of idle running at the maximum occurrence date and time is equal to or greater than the first threshold, it is determined to be "observed", and when the difference is equal to or greater than the second threshold, it is determined to be "caution". do.
Instead of deriving the determination information for each item, the determination information may be derived by combining the driving situation results of a plurality of items.

Further, the control unit 10 inputs the driving situation into the learning model 112 to obtain determination information.
The determination string may store both determination information based on the rule base and determination information based on the learning model 112.

The comment column stores comments accepted by users. For example, comparisons with other periods, comments on rule-based judgments and learning model judgments, and corresponding No. can store information regarding the driving status of the vehicle.
The list is not limited to being stored on a weekly basis. For example, it may be stored every 24 hours, every 48 hours, every two weeks, etc.

FIG. 8 is an explanatory diagram illustrating the configuration of the learning model 112. The learning model 112 is a learning model generated by machine learning, and outputs data indicating determination information in response to input of driving conditions. The learning model 112 is generated and trained in the information processing device 1 or an external device in advance. The control unit 10 may use a machine learning method such as a support vector machine (SVM), a decision tree, or clustering to define the boundary line and specify the type of determination information.

The input information input to the learning model 112 is the driving situation. It is preferable that the operating status includes at least two types selected from the number of times the pump 41 is operated, the operating time, the number of alternate operations, the amount of change in operating current, the discharge amount, and the driving frequency. In the case of the number of operations and operation time, the input information may be the number of operations and operation time of each pump 41, or may be the difference between each pump 41. In the case of the amount of change in operating current, drive frequency, and discharge amount, the average value, maximum value, or minimum value of each pump 41 may be used, or the difference between each pump 41 may be used.

The learning model 112 outputs determination information according to these driving conditions. The determination information is, for example, "normal", "observation", or "caution".

When the driving situation is input, the learning model 112 identifies determination information according to the driving situation. Specifically, the learning model 112 specifies determination information based on the feature amount included in the driving situation and the feature amount for each determination information. The control unit 10 acquires, as training data, an information group in which known determination information is added to input information including driving conditions. The control unit 10 uses a large amount of training data measured in the past to train the learning model 112 to identify judgment information according to driving conditions. Although an example has been shown in which the learning model 112 is learned by the control unit 10 based on training data, the generation of the learning model 112 is not limited to the control unit 10, and a model learned by an external information processing device may also be used. good.

Note that the learning model 112 is not limited to the example shown in FIG. The learning model 112 may be a model trained by another algorithm, such as a neural network. A multilayer neural network (deep learning) can be used as the neural network, and for example, a convolutional neural network (CNN) can be used. In this case, at least two types selected from the number of operations of the pump 41, the operation time, the number of alternate operations, the amount of change in operating current, the drive frequency, and the discharge amount are used as input data for the training data, or Using the result of the situation, a label of judgment information such as normal, observation, caution, etc. may be added as output data. The control unit 10 uses a large amount of already measured training data to tune the parameters of the learning model 112 by backpropagation or the like.

FIG. 9 is a block diagram showing the configuration of the terminal 2. As shown in FIG. The terminal 2 includes a control section 20, a storage section 21, a communication section 22, a display section 23, and an operation section 24.

The control unit 20 includes a processor such as a CPU or GPU, a memory, and the like. The control unit 20 may be configured as one piece of hardware (SoC: System On a Chip) that integrates a processor, a memory, a storage unit 21, and a communication unit 22. The control unit 20 controls each component to execute processing based on a program 211 stored in the storage unit 21.

The storage unit 21 includes a nonvolatile memory such as a hard disk or SSD. The storage unit 21 stores programs and data that are referenced by the control unit 20, including the program 211. The communication unit 22 is a communication interface that realizes communication with the information processing device 1 via the network N.

The display unit 23 includes a display such as a liquid crystal panel and an organic EL (Electro Luminescence) display. The control unit 20 displays various images including a list of driving conditions on the display unit 23 according to instructions from the control unit 20. The operation unit 24 is an interface that accepts user operations, and includes, for example, physical buttons, a mouse, a touch panel device with a built-in display, a speaker, a microphone, and the like. The operation unit 24 receives operation input from the user and sends a control signal to the control unit 20 according to the operation content.

FIG. 10 is a block diagram showing the configuration of the control device 3 and the like. The control device 3 includes a control section 30, a storage section 31, a communication section 32, and an input/output section 33.

The control unit 30 is a processor using one or more CPUs, GPUs, etc., and uses built-in memory such as ROM or RAM to control each component and execute processing. The storage unit 31 is a storage device that stores information referenced by the control unit 30. The communication unit 32 is a communication interface that realizes communication with the information processing device 1 via the network N. The control unit 30 transmits the operation information acquired from the manhole pump device 4 to the information processing device 1 via the communication unit 32.

The input/output unit 33 is an input/output interface connected to the pump 41 of the manhole pump device 4, the water level gauges 42, 46, a protection device for the pump 41 (not shown), a protection device for the drive device 412, and an operating ammeter of the drive device 412. be. The control unit 30 acquires a signal indicating the water level from the water level gauge 42 or the water level gauge 46 via the input/output unit 33. The control unit 30 outputs a drive control signal to the drive device 412 of the pump 41 via the input/output unit 33. The control unit 30 detects the operating current in the drive device 412 of the pump 41 during the operating time from when the drive device 412 starts to when it stops.

FIG. 11 is a flowchart illustrating an example of a determination processing procedure executed by the information processing system 100. The control unit 10 of the information processing device 1 starts the following process when driving information is transmitted from the control device 3.

The control unit 10 of the information processing device 1 acquires driving information from the control device 3 (S11) and stores it in the driving information DB 114. In this case, the control unit 10 may obtain the operating information and the identification information of the pump 41 in association with each other. The operating information includes the operating time of the pump 41, the operating current of the pump 41 during the operating time, and the water level during the operating time. Note that the operation information may be transmitted from the control device 3 each time the pump 41 stops one operation, for example, or the operation information of multiple times may be transmitted at once at regular timing (for example, once a day). It may be transmitted, or it may be transmitted each time the driving information in the control device 3 is updated.

The control unit 10 executes analysis processing of driving information for 7 days, for example, and derives driving conditions based on the driving information (S12). Specifically, the control unit 10 derives the results of the operating status regarding each of the above-mentioned items based on operating information including operating time, operating current, and water level.

The control unit 10 determines whether it is "normal", "observation", or "caution" (S13). When the operating status is the number of operations, operating time, and number of alternate operations, the difference between the results of the operating status of each pump 41 is derived, and when the operating status is the amount of change in operating current, driving frequency, and discharge amount, each pump The average value, maximum value, or minimum value of the 41 driving situations is derived, and as described above, the judgment information corresponding to the obtained driving situation is determined based on the rule base of the relationship between the driving situation results and the judgment information. Derive.
Alternatively, the control unit 10 inputs the derived driving situation into the learning model 112 and obtains the output determination information. When using the learning model 112, at least two types selected from the number of pump operations, the operating time, the number of alternate operations, the amount of change in operating current, the driving frequency, and the discharge amount may be input.
The control unit 10 stores the determination information in the list DB 115 (S14), and ends the process.
Note that the present invention is not limited to the case where the driving situation is derived based on seven days of driving information.

FIG. 12 is a flowchart illustrating an example of a list display processing procedure executed by the information processing system 100. The following processes are executed by the control unit 20 according to the program 211 stored in the storage unit 21 of the terminal 2, and are also executed by the control unit 10 according to the program 111 stored in the storage unit 11 of the information processing device 1. Ru.

The control unit 20 of the terminal 2 inputs the ID No. of the manhole pump device 4 from which the list is to be obtained through the operation of the operation unit 24 by the user of the manhole pump device 4. and a period are input (S201).
The control unit 20 receives an instruction to display a list (S202).

FIG. 13 shows an example of a display image. FIG. 14 shows a state in which "Medical Record" is selected on the Top screen (not shown) and a display image 25 of "Medical Record" is displayed.
The display image 25 has the ID No. of the manhole pump device 4 in the center of the upper part. It has an ID input field 251 for inputting a period, and below the ID input field 251, a period input field 252 for inputting a period. The display image 25 has a list display button 253 on the upper right side. The display image 25 has a display portion 254 below these input bars that displays a list.
The user inputs the ID No. of the manhole pump device 4 using the operation unit 24. and the date and time, and click the list display button 253. In FIG. 13, the device ID No. is "ABC101" and the date and time is from "April 4, 2020" to "April 10, 2020".

The control unit 20 controls ID No. , the period, and an instruction to display the list are transmitted to the information processing device 1 (S203).
The control unit 10 controls ID No. , period, and instructions to display a list are received (S101).

The control unit 10 controls ID No. and the list corresponding to the period is read from the list DB 115, the list stored in the list DB 115 is edited according to the period as necessary, and the image information of the list is transmitted to the terminal 2 (S102). For example, if a list is stored in the list DB 115 every seven days and the accepted period is one month, a list for one month is edited based on the corresponding list for four weeks.
The control unit 20 receives the image information of the list (S204).
The control unit 20 displays a list on the display unit 23 (S205). For example, as shown in FIG. 14, the control unit 20 displays the list shown in FIG. 6 in a superimposed manner on the display portion 254 of the display image 25 shown in FIG. The user can visually confirm whether the operation of the pump 41 is normal or abnormal based on the judgment results in the judgment column. Further, the user can check the operating status of each pump 41 using the list, compare the operating status of each pump 41, and determine for himself whether the operation of the pump 41 is normal or abnormal.
The list in FIG. 7 is displayed when the user scrolls.

The control unit 20 accepts the comment (S206). If the control unit 20 does not accept the comment, it ends the process.
The control unit 20 transmits the comment to the information processing device 1 (S207).
The control unit 10 receives the comment (S103). The comments include the validity of the judgment made by the control unit 10 when the user makes the judgment himself as described above.
The control unit 10 adds a comment to the list DB 115 (S104), and ends the process.

FIG. 15 shows an example of a display image. As shown in FIG. 15, by scrolling the display portion 254 of FIG. 14, a list of abnormal states whose determination information is "observation" or "caution" may be displayed. The list has a "Troubleshoot" button. The storage unit 11 stores troubleshooting information for returning to a normal state depending on the abnormal state. Troubleshooting includes information such as the cause of the abnormality and the steps to be taken to resolve it. When the user clicks on the "troubleshooting" button, troubleshooting information is transmitted from the information processing device 1 to the terminal 2, and the control unit 20 displays the troubleshooting information on the display section 254.

As described above, according to the present embodiment, the user can confirm whether the operation of the pump 41 is normal or abnormal by comparing the operation status of each pump 41. By specifying a period, the operating status of each pump 41 for one week, one month, etc. can be compared. It is also possible to obtain the operating status of the same day by month, or the operating status of the same month and day by year, and conduct fixed point observation to confirm the operating status of equipment over the medium to long term.

In addition, in the process of the flowchart in FIG. 12 described above, an example has been described in which the control unit 10 of the information processing device 1 and the control unit 20 of the terminal 2 share the execution, but the process of the control unit 10 and the control unit 20 is an example, and is not limited to the example of FIG. A part or all of the processing executed by the control unit 10 of the information processing device 1 may be executed by the control unit 20 of the terminal 2 or may be executed by the control unit 30 of the control device 3.

Furthermore, when displaying the list on the display unit 23, items of driving conditions that have been determined to be abnormal may be highlighted. For example, when one pump 41 has an "observation" or "caution" abnormality, it is highlighted in red, and when the other pumps 41 have an "observation" or "caution" abnormality, May be highlighted in blue. Furthermore, the highlighting may be displayed in different colors depending on the degree of "observation" or "caution".
Furthermore, the list is not limited to being displayed on the display unit 23, and may be output on a paper medium.

(Second embodiment)
The information processing device 1 according to the second embodiment stores a graph DB 116 in the storage unit 11.
FIG. 16 is an explanatory diagram showing an example of the record layout of the graph DB 116. The graph DB 116 stores image information in which trend graphs of the operating time of each pump 41, the water level, and the operating current of each pump 41 are arranged vertically for each manhole pump device 4 on a daily basis. The image information may be the image of the trend graph itself, or may be data for displaying the image on the display unit 23 of the terminal 2. In FIG. 16, ID No. The trend graph of the manhole pump device 4 of ABC101 is stored. The graph DB 116 stores a date column and a trend graph column. The date column stores dates. The trend graph column stores trend graphs corresponding to dates. The horizontal axis of the driving time trend graph is time (hours). The trend graph of the operating time has a rectangular waveform in which the vertical axis rises in the positive direction when the drive signal is turned on, and falls in the negative direction when it is turned off, and the time difference between the off and on times is the operating time. The horizontal axis of the water level trend graph is time (hours), and the vertical axis is water level (m). The horizontal axis of the trend graph of the operating current is time (hours), and the vertical axis is current (A). These trend graphs are based on driving information stored in the driving information DB 114. In these trend graphs, the background of the period of driving information corresponding to the driving situation judged as "observation" is colored green, and the period of driving information corresponding to the driving situation judged as "caution" is colored yellow. It is colored and color-coded. The trend graph is not limited to the case where the background of each period of driving information is color-coded, and the color and line type of the graph of driving information corresponding to the period may be changed. Trend graphs are not limited to being stored on a daily basis. For example, it may be stored every 12 hours or every 48 hours.

FIG. 17 shows an example of the record layout of the list DB 115 according to the second embodiment. In the list DB 115 according to the second embodiment, No. For major items 4 to 9, in addition to the columns in the list shown in FIGS. 6 and 7, there is a link destination column.
The link destination column stores the date, time, minute and second, etc. of the time axis of the trend graph of the graph DB 116, which is the link destination, corresponding to the driving situation for which the judgment is "observation" or "abnormal."

FIG. 18 is a flowchart illustrating an example of a trend graph display processing procedure executed by the information processing system 100.
The control unit 20 of the terminal 2 inputs the ID No. of the manhole pump device 4 from which the list is to be obtained through the operation of the operation unit 24 by the user of the manhole pump device 4. and a period are input (S211).
The control unit 20 receives an instruction to display a list (S212).

The control unit 20 controls ID No. , the period, and an instruction to display the list are transmitted to the information processing device 1 (S213).
The control unit 10 controls ID No. , period, and instructions to display a list are received (S111).

The control unit 10 controls ID No. and the list corresponding to the period is read from the list DB 115, the list is edited based on the accepted period if necessary, and the image information of the acquired list is transmitted to the terminal 2 (S112).

The control unit 20 receives the image information of the list (S214).
The control unit 20 displays the list on the display unit 23 (S215).
FIG. 19 shows an example of the display image 25.
When the user specifies the link destination of the list in the display image 25 and clicks on the judgment, the control unit 10 acquires the date, time, minute and second of the time axis of the linked trend graph from the list DB 115, A trend graph obtained by acquiring the trend graph portion of the corresponding date, time, minute and second from , and magnifying the time on the horizontal axis, that is, a trend of a predetermined time width (for example, one hour) centered on the date, time, minute and second of the time axis. It is configured to generate a graph and display it on the display unit 23. For example, No. 1 in FIG. If you click "Observation" in the judgment of No. 7 major item, the trend graph of "Observation" at the maximum occurrence date and time will be enlarged and displayed. When "Caution" is clicked in the judgment of major item 8, the trend graph of "Caution" at the maximum occurrence date and time is displayed in an enlarged manner.

The control unit 20 accepts a selection of a driving situation, that is, a selection of a determination specifying a link destination (S216). If the control unit 20 does not accept the selection of the driving situation, the control unit 20 ends the process.
The control unit 20 transmits the selected driving status link to the information processing device 1 (S217).
The control unit 10 receives the driving status link (S113).
Based on the received driving status information, the control unit 10 acquires the date, time, minute and second of the time axis of the linked trend graph from the list DB 115, and acquires the trend graph portion of the corresponding date, time, minute and second from the graph DB 116. Then, a trend graph in which the time on the horizontal axis is enlarged and displayed is generated, and image information of the trend graph is transmitted to the terminal 2 (S114).
The control unit 20 receives the image information of the trend graph (S218).
The control unit 20 displays the trend graph on the display unit 23 (S219), and ends the process.

FIG. 20 shows an example of the display image 25. Figure 20 shows the operation of one pump 41 from 14:23:02 to 14:35:55 on April 4, 2020, which shows the maximum time between April 4 and 10, 2020. Trend graphs of time, water level, and operating current are shown. The driving information period corresponding to the driving situation determined to be "caution" is colored yellow. The user can easily check driving information when abnormal driving occurs.

FIG. 21 shows another example of the display image 25. As shown in FIG. 15, when displaying a list of abnormal conditions whose judgment information is "observation" or "caution" by scrolling the display portion 254, "observation" or "caution" is a link destination. If specified and clicked, the image of the linked trend graph is acquired from the graph DB 116, and the control unit 10 enlarges and displays the trend graph for the period of driving information including the driving situation.

According to this embodiment, operation information when abnormal operation occurs can be confirmed. In addition, if there is a relationship between the upstream side (water supply side) and the downstream side (water receiving side) between the plurality of manhole pump devices 4 displayed, if there is an abnormality in the pump 41 of the manhole pump device 4, the manhole pump The operational status of the pump 41 of the manhole pump device 4 on the upstream side connected to the inflow pipe 43 of the device 4 or the pump 41 of the manhole pump device 4 on the downstream side connected to the discharge pipe 45 of the manhole pump device 4 is specifically described. It is also possible to identify the location where an abnormality occurs in the entire system, including piping lines. Furthermore, by displaying the upstream and downstream relationships between the manhole pump devices 4, when there is an abnormality in any of the manhole pump devices 4, it is easier to identify the location of the abnormality in the entire system including the piping. becomes easier.

The embodiments disclosed herein are illustrative in all respects and are not restrictive. The scope of the present invention is indicated by the claims, and includes all changes within the meaning and range equivalent to the claims. For example, the number of pumps 41 in the manhole pump device 4 is not limited to two.

100 Information processing system 1 Information processing device 10 Control unit (first acquisition unit, derivation unit, first output unit, determination unit, second acquisition unit, second output unit)
11, 21, 31 Storage unit 111, 211 Program 112 Learning model 113 Device DB
114 History DB
115 List DB
116 Graph DB
12, 22, 32 communication section 2 terminal 20, 30 control section 23 display section 24 operation section 3 control device 4 manhole pump device 41 submersible pump (equipment)

Claims (7)

Operation information acquisition that acquires operation information including operation date and time, operation time, and operation current of a plurality of submersible pumps provided in the same storage tank for discharging water stored in the storage tank, and the water level of the storage tank. Department and
an operation status acquisition unit that acquires the operation status of the plurality of submersible pumps based on the operation information acquired by the operation information acquisition unit;
a derivation unit that derives a difference in operating status of the plurality of submersible pumps;
a determining unit that determines the degree of operation of the submersible pump based on the difference derived by the deriving unit or the operating status;
a first output unit that outputs image information including a list including the difference and determination information determined by the determination unit; and a list including the driving situation and determination information determined by the determination unit;
An information processing device comprising : When the selection of the judgment information included in the list in the image information outputted by the first output unit is accepted, a driving display in which a period including the time when the driving situation related to the judgment information was derived is displayed in an enlarged manner. The information processing device according to claim 1 , further comprising a second output unit that outputs image information including an information trend graph. The information processing device according to claim 1 or 2 , wherein the image information includes a field for inputting a comment by a user of the submersible pump . The information processing device according to any one of claims 1 to 3 , wherein the first output unit outputs the image information according to a period. The operating status includes the number of pump operations, operating time, number of alternate operations, amount of change in operating current,
Includes at least two types selected from drive frequency and discharge amount
The information processing device according to any one of claims 1 to 4 . Obtaining operation information including operation date and time, operation time, and operating current of a plurality of submersible pumps provided in the same storage tank for discharging water stored in the storage tank, and the water level of the storage tank,
Obtaining operating status of the plurality of submersible pumps based on the obtained operating information,
determining the degree of operation of the submersible pump based on the difference in operating status of the plurality of submersible pumps or the operating status;
An information processing method for outputting image information including a list including determination information determined by determining the difference and the degree of operation of the submersible pump, and a list including the operating status and the determination information. Obtaining operation information including operation date and time, operation time, and operating current of a plurality of submersible pumps provided in the same storage tank for discharging water stored in the storage tank, and the water level of the storage tank,
Obtaining operating status of the plurality of submersible pumps based on the obtained operating information,
Deriving the difference in the operating status of the plurality of submersible pumps,
Determining the degree of operation of the submersible pump based on the derived difference or the operating status,
To cause a computer to execute a process of outputting image information including a list including judgment information determined in the judgment of the difference and the degree of operation of the submersible pump, and a list including the operating status and the judgment information. computer program.

Images