JP7441729B2 - Information processing device, information processing method, and computer program - Google Patents

Description

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

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, there are cases where normal operation returns 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 problem.

An object of the present disclosure is to provide an information processing device, an information processing method, and a computer program that can easily visually confirm operating information when a predetermined operating condition of a device occurs.

An information processing device according to an aspect of the present disclosure includes: an acquisition unit that acquires operating information related to the operating status of a device; a derivation unit that derives the operating status of the device based on the acquired operating information; A storage unit that stores the driving information and the derived driving situation, and a first output unit that outputs image information including a trend graph of driving information corresponding to the driving situation, according to the derived driving situation. Be prepared.

An information processing method according to an aspect of the present disclosure acquires operating information related to the operating status of a device, derives the operating status of the device based on the acquired operating information, and extracts the acquired operating information and the derived operating information. The driving situation is stored, and image information including a trend graph of driving information corresponding to the driving situation is output according to the derived driving situation.

A computer program according to an aspect of the present disclosure acquires operating information related to an operating status of a device, derives an operating status of the device based on the acquired operating information, and uses the acquired operating information and the derived operating information. A computer is caused to execute a process of storing each of the driving situations and outputting image information including a trend graph of driving information corresponding to the driving situation, according to the derived driving situation.

According to the present disclosure, it is possible to easily visually confirm operating information when a predetermined operating condition of a device occurs.

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 diagram showing an example of record layout of history DB. It is an explanatory diagram showing an example of the record layout of graph 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 process procedure for deriving driving conditions that is executed by the information processing system. 2 is a flowchart illustrating an example of a processing procedure for generating a trend graph of driving information, which is executed by the information processing system. 2 is a flowchart illustrating an example of a processing procedure for enlarging a trend graph, which is 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. 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. 12 is a flowchart illustrating an example of a procedure of a process of displaying a word cloud and then enlarging a trend graph, which is executed by the information processing system according to the second embodiment. 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. 12 is a flowchart illustrating an example of a procedure for displaying a trend graph in an enlarged manner after displaying a map image, which is executed by the information processing system according to the third embodiment. 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: an acquisition unit that acquires operating information related to an operating status of a device; a derivation unit that derives an operating status of the device based on the acquired operating information; A storage unit that stores the driving information and the derived driving situation, and a first output unit that outputs image information including a trend graph of driving information corresponding to the driving situation, according to the derived driving situation. Be prepared.

According to the above configuration, normal operation and abnormal operation can be easily recognized visually, and operation information when abnormal operation occurs can be confirmed.

In the above-described information processing device, the first output unit may output the image information in which periods of driving information corresponding to the derived driving situation are color-coded.

According to the above configuration, operation information when abnormal operation occurs can be easily confirmed.

In the information processing device described above, the derivation unit inputs the driving information acquired by the acquisition unit to a learning model that outputs the driving situation when driving information related to the driving status of the device is input, and calculates the driving status by inputting the driving information acquired by the acquiring unit. may be derived.

According to the above configuration, the driving situation can be easily and accurately derived based on the driving information.

In the above-mentioned information processing device, the first output unit outputs image information including a list of derived driving situations arranged in chronological order, and when the first output unit receives a selection of the driving situation output, The second output unit may include a second output unit that outputs image information including a trend graph of driving information, which is an enlarged display of a period including the time when the driving situation was derived.

According to the above configuration, by selecting a driving situation by clicking or the like, the user can easily enlarge and display the trend graph of the driving information without setting a short-term display period, and can easily display the trend graph of the driving information when the driving situation has occurred. You can check the driving information of the case.

In the above-described information processing device, the second output unit may output image information including a list of driving conditions for the period in correspondence with the trend graph.

According to the above configuration, a list of driving conditions for a period corresponding to the trend graph can be visually checked, and convenience is good.

In the above-mentioned information processing device, the third output unit outputs image information in which at least one of the font, size, color, or position of characters of the driving situation is different depending on the driving situation or the number of occurrences in a predetermined period. The first output unit outputs image information including a trend graph of driving information for a period including the time when the driving situation was derived, when the selection of the driving situation outputted by the third output unit is received. You can.

According to the above configuration, it is possible to visually recognize the occurrence status and occurrence ratio of each driving based on the display size of the driving status and the like. Then, a trend graph of driving information is output in which the period including the time when the selected driving situation was derived is displayed in an enlarged manner, so that the driving information when the driving situation occurs can be easily viewed.

The information processing device described above includes a fourth output section that outputs image information including the location of one or more devices, and when the first output section receives a selection of a device, the first output section outputs image information corresponding to the accepted device. The image information may be output.

According to the above configuration, the user can easily associate and understand the location of the device and the content of driving information when a predetermined driving situation occurs.

In the information processing device described above, the device is a submersible pump for discharging water stored in a storage tank, and the operation information is a driving current of the submersible pump or a submersible pump for discharging water stored in the storage tank. It may be the water level.

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. According to the above configuration, even if no alarm is generated, the driving situation can be monitored over time and the cause of the trouble can be ascertained.

An information processing method according to one aspect of the present invention obtains operating information related to the operating status of a device, derives the operating status of the device based on the acquired operating information, and derives the operating status of the device based on the acquired operating information and the derived operating information. The driving situation is stored, and image information including a trend graph of driving information corresponding to the driving situation is output according to the derived driving situation.

According to the above configuration, normal operation and abnormal operation can be easily recognized visually, and operation information when abnormal operation occurs can be confirmed.

A computer program according to one aspect of the present invention acquires operating information related to the operating status of a device, derives the operating status of the device based on the acquired operating information, and calculates the operating status of the device based on the acquired operating information and the derived operating information. A computer is caused to execute a process of storing each of the driving situations and outputting image information including a trend graph of driving information corresponding to the driving situation, according to the derived driving situation.

According to the above configuration, normal operation and abnormal operation can be easily recognized visually, and operation information when abnormal operation occurs can be confirmed.

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 derived based on the operating information and a trend graph of the operating information.

The operating status is information about the operating status of the pump 41 obtained by analyzing the operating information of the pump 41, such as normal, foreign object detected, increased inflow, air entrainment (for example, air is difficult to escape), and dry running. etc.

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 operation information including information regarding the drive current of the pump 41 and information regarding the water level of the manhole pump device 4. 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 processes information regarding the acquired driving current and water level, as well as the driving start date and time and stop date and time (driving time) of the pump 41 based on the water level, and the driving information regarding the discharge pressure and discharge amount. Send to 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 an electric 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 driving time from when the driving device 412 of each pump 41 starts to when it stops, the driving current, and the water level of the storage tank. 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. In addition, the pump 41 or the pressure-feeding piping in the storage tank 44 may be provided with an in-tank stirring device (not shown) serving as a jetting mechanism.

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 float-type water level gauge 46 is installed in the storage tank 44 as a backup water level gauge to detect an abnormally high water level in the storage tank 44. 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, and the drive device 412 When flooding 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 a protective device is described as a typical example, the present invention is not limited to this as long as it is capable of detecting 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 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 necessary 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 to the terminal 2 image information including a list of driving conditions derived in chronological order by the control unit 10 based on the driving information, and image information including a trend graph of the driving information.
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 enlarging and displaying a trend graph of operating information, which will be described later, a learning model 112, a device DB 113, a history DB 114, and a graph DB 115. There is. 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. 2 shows the device information of user No. 2. The manhole pump device 4 with device ID “BAC321” includes two pumps 41 with ID “321-1” and ID “321-2”. The suffixes "1" and "2" of the pump ID are pump numbers in the manhole pump device 4, and mean "pump 1" and "pump 2" in the manhole pump device 4, respectively.
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 history DB 114. The history DB 114 is a database that stores the history of the pump 41. The history DB 114 stores operating conditions for each pump 41 in association with operating information. FIG. 5 shows history information of the pump 41 with pump ID "321-1". The history DB 114 stores a date/time column, a drive time column, a drive current column, a water level column, a driving information column, a driving status column, a degree column, and a link destination column. The date and time column stores the start date and time of driving the pump 41 and the stop date and time. The drive time series stores drive times based on the difference between the drive stop date and time and the drive start date and time. The drive current sequence stores time-series data of drive currents acquired at predetermined intervals (eg, 1 second to 1 minute intervals) during the drive time. The drive current series includes the standard deviation of the drive current based on time-series data of the drive current, the maximum and minimum values of the drive current, the amount of change in the drive current per unit time, and the degree of temporal change in the drive current during the drive time. Drive current parameters such as the total number of current change points, which are points at which the current changes, may be stored. Current change points include, for example, the point at which the drive current suddenly increases or decreases from a predetermined value, the point at which the drive current changes from an increasing trend to a decreasing trend over time, or the point at which the drive current changes from a decreasing trend to a decreasing trend over time. Examples include the point at which the trend changes, and the point at which the increasing and decreasing trends of the drive current change rapidly over time. The driving current sequence may be obtained by extracting and storing information on the corresponding driving time in the date/time sequence from those continuously measured at predetermined intervals regardless of the driving 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 the driving time. The water level sequence may include water level parameters such as the maximum value of the water level change rate based on time-series data of the water level, and the total number of change points at which the degree of temporal change in the water level changes within the driving time. Change points at which the degree of temporal change in water level changes include, for example, the point at which the water level suddenly increases or decreases from a predetermined value, the point at which the water level changes from an increasing trend to a decreasing trend over time, and the point at which the water level changes over time. This includes the point at which water level changes from a decreasing trend to an increasing trend, and the point at which the increasing and decreasing trends of water level change rapidly over time. For the water level series, information on the corresponding drive time may be extracted and stored in the date and time series from those measured continuously at predetermined intervals, regardless of the drive start date and time and stop date and time of the pump 41.
Further, the operation information string may store operation information obtained from the protection device of the pump 41 (for example, overload, open phase, motor submersion detection, etc.), precipitation amount obtained from the weather server, and the like.

The driving situation column stores the above-mentioned driving situations. The driving situation is derived based on the driving information as described below. The degree column stores whether it is "observation" or "caution" depending on the degree of abnormality of the driving situation other than normal. The degree of abnormality is greater for "caution" than for "observation."
The link destination column stores the coordinates of the time axis of the trend graph of the graph DB 115 of the link destination, which corresponds to an abnormal driving situation. When the user specifies a link destination and clicks on a driving situation, the control unit 10 acquires the trend graph of the link destination and enlarges and displays the trend graph for the period of driving information that includes the driving situation, that is, the time period. It is configured to display a trend graph of a predetermined time width centered on the axis coordinates.

The information processing device 1 acquires operational information including information on the driving time, driving current, and water level of the pump 41 from the control device 3, and uses a learning model 112, which will be described later, to identify the operational status according to the operational information. Derive. Each driving situation stored in the history DB 114 is stored by the control unit 10 each time the control unit 10 acquires driving information from each control device 3 and derives a driving situation according to the acquired driving information. The contents stored in the history DB 114 are not limited to the example shown in FIG.

FIG. 6 is an explanatory diagram showing an example of the record layout of the graph DB 115. The graph DB 115 stores image information in which trend graphs of the driving time of each pump 41, the water level, and the driving 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 to be displayed on the display unit 23 by processing the trend graph with a graph application of the terminal 2. In FIG. 6, trend graphs of two pumps 41 with device ID "BAC321" are stored. The graph DB 115 stores a date column and a trend graph column. The date column stores dates. The trend graph column stores the above-mentioned trend graph corresponding to the date. The horizontal axis of the drive time trend graph is time (hours). The drive time trend graph has a rectangular wave shape, 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, with the drive time being the time difference between off and on. 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 drive current trend graph is time (hours), and the vertical axis is current (A). These trend graphs are based on driving information stored in the history 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 driving time is color-coded, and the color and line type of the graph of driving information corresponding to the driving time 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. 7 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 driving conditions in response to input of driving information. 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 driving situation.

The input information input to the learning model 112 is driving information. In this embodiment, the driving information includes driving time, driving current, and water level. Specifically, the drive current is time series data of the drive current sampled within the drive time, and the water level is time series data of the water level sampled within the drive time. At least one of the drive current parameters described above may be included, and at least one of the water level parameters described above may be included.

The learning model 112 outputs output information indicating a driving situation according to the driving information. The operating status is, for example, "normal", "foreign object passed (observed)", "foreign object passed (caution)", "inflow amount increased (observed)", "inflow amount increased (caution)", "air mixed in (observed)" , "Air is difficult to escape (observation)", "Air is mixed in (caution)", "air is difficult to escape (caution)", "dry running (observation)", "dry running (caution)", etc. Note that each driving situation may be classified more finely. Furthermore, the degree of "observation" and "caution" is not limited to being assigned to each abnormal driving situation.

When driving information is input, the learning model 112 identifies driving situations according to the driving information. Specifically, the learning model 112 identifies the driving situation based on the feature amount included in the driving information and the feature amount for each driving situation. The control unit 10 acquires, as training data, an information group in which known driving conditions are added to input information including driving information. The control unit 10 uses a large amount of training data measured in the past to train the learning model 112 to identify driving situations according to driving information. 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 is not limited to the control unit 10, and content learned at another location may be used.

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 one of time series data of current value, time series data of water level, driving current parameter, water level parameter, and precipitation amount is used as input data for the training data, and output data is normal, foreign object passed, and increase in inflow. , aeration, dry running, etc. may be labeled. 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. 8 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 trend graph of driving information and 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. 9 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 and water level gauges 42 and 46 of the manhole pump device 4, a protection device for the pump 41 (not shown), a protection device for the drive device 412, and a drive current for the drive device 412. . The control unit 30 acquires signals indicating the water level from the water level gauges 42 and 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 drive current in the drive device 412 of the pump 41 during the drive time from when the drive device 412 starts to when it stops.

FIG. 10 is a flowchart illustrating an example of a driving situation derivation process 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 receives driving information from the control device 3 (S11) and stores it in the history 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 operation information includes the drive time of the pump 41, the drive current of the pump 41 during the drive time, and the water level during the drive time. The control unit 10 may detect the drive current of the pump 41 and the water level during the drive 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). Alternatively, the information may be transmitted each time the driving information in the control device 3 is updated.

The control unit 10 executes an analysis process of the acquired driving information and derives a driving situation based on the driving information (S12). Specifically, the control unit 10 inputs driving information including driving time, driving current, and water level to the learning model 112 as input information, and obtains the driving status to be output. The control unit 10 stores the derived driving situation in the history DB 114 (S13), and ends the process. The control unit 10 executes the above-described process every time driving information is output from the control device 3. In this way, each time the pump 41 is operated, the operating status based on the operating status of the pump 41 is derived and stored in the history DB 114.

FIG. 11 is a flowchart illustrating an example of a processing procedure for generating a trend graph of driving information executed by the information processing system 100.
The control unit 10 reads the history DB 114 and obtains daily driving information and driving status (S21).

The control unit 10 generates image information of a trend graph that displays the background of the period of the corresponding driving information in different colors depending on the degree of the driving situation (S22). That is, among the derived driving situations, 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. Generates an image representing a colored trend graph.
The control unit 10 stores the generated trend graph in the graph DB 115 (S23).

If the driving situation corresponding to the period of the driving information is not normal, the control unit 10 stores the coordinates of the linked trend graph of the graph DB 115 in the link destination column of the history DB 114 (S24), and ends the process. For example, in the case of "increase in flow rate and load (caution)", the part of the image of the corresponding trend graph in the graph DB 115 that corresponds to the period of the operating situation is designated as the link destination, and the control unit 10 includes the operating situation. Enables an enlarged display of the trend graph for the period.
The control unit 10 executes the above-described processing on a daily basis, for example.

FIG. 12 is a flowchart illustrating an example of a processing procedure for enlarged display of a trend graph 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 receives the ID No. of the pump 41 from which the operating status is to be obtained through the operation of the operation unit 24 by the user of the manhole pump device 4. and date and time input is accepted (S201). As the date and time, the date and the start time and end time for displaying the trend graph may be accepted.
The control unit 20 receives an instruction to display a trend graph (S202).

FIG. 13 shows an example of the display image 25. FIG. 13 shows a state in which "driving trend" is selected on the top screen (not shown) and a display image 25 of "driving trend" 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 the date and time, and below the ID input field 251, it has a date and time input field 252 for inputting the date and time. The display image 25 has a graph display button 253 on the upper right side. Below the bar is a display portion 250 that displays a trend graph and 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 graph display button 253. FIG. 13 shows a case where the device ID is "BAC321" and the date and time is "0:00 to 24:00" on "April 20, 2020". A trend graph and a list of two pumps 41 with pump ID "321-1" (pump 1) and pump ID "321-2" (pump 2) included in device ID "BAC321" are displayed.

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

The control unit 10 controls ID No. The trend graph corresponding to the date and time is read from the graph DB 115, and the operating status, degree, and link destination of pump 1 and pump 2 corresponding to the period of the trend graph are read from the history DB 114, and a list is generated (S102). The list includes an operation information column including a date and time column, a pump number, an operation or stop status column, a drive time column, and an operation status column (see FIG. 15). The control unit 10 transmits the image information of the read trend graph and the image information of the generated list to the terminal 2 (S103). Here, the image information may be the image itself or data for displaying the image.
The control unit 20 receives the image information of the trend graph and the image information of the list (S204).
The control unit 20 displays a trend graph and a list on the display unit 23 (S205).

FIG. 14 shows an example of the display image 25 displayed on the display unit 23.
In the display image 25 of FIG. 14, a trend graph 255 of drive time for each of the pumps 41 (pump 1) and 41 (pump 2) of the device ID "BAC321", a trend graph 256 of water level, and a trend graph 256 of the water level for each of the pumps 1 and 2 are shown. A trend graph 257 of drive current is displayed. As mentioned above, among the derived driving situations, the background of the period of driving information corresponding to the driving situation determined to be "caution" is colored yellow (in Figure 14, the background part surrounded by three thick lines "a" ”), the background of the driving information period corresponding to the driving situation determined to be “observed” is colored green (background portion “b” other than “a” in FIG. 14).

FIG. 15 shows a state in which a list 258 is displayed by scrolling when a trend graph is displayed in the display portion 250. As shown in FIG. 15, the list 258 includes operation information columns such as a date and time column, a pump number column, a status column, and a drive time column, and an operation status column. The date and time column and the drive time column include the above-mentioned date and time and drive time. The driving status column includes the above-mentioned driving status and degree, and a link destination is specified for an abnormal driving status. The control unit 20 displays driving information and driving status from 0:00 to 24:00 on April 20, 2020 in response to the user's scrolling.

The control unit 20 accepts the selection of the driving situation (S206). The user clicks on the driving status link to display an enlarged trend graph. For example, in FIG. 15, the user clicks on the link "Inflow amount and load increase (caution)" for the operating status of the pump 1 when the drive start time is "13:17:51".

The control unit 20 transmits a link (time axis coordinates) of the driving situation to be enlarged and displayed to the information processing device 1 (S207).
The control unit 10 receives the driving status link (S104).
The control unit 10 obtains a portion of the linked trend graph corresponding to the period of the driving situation from the graph DB 115, and sets the time on the horizontal axis to, for example, approximately 30 minutes before and after the coordinates, for a total of 1 hour. The trend graph enlarged to the width of , and the image information of the list corresponding to the trend graph are transmitted to the terminal 2 (S105).
The control unit 20 receives the image information of the trend graph and the list (S208).
The control unit 20 displays the trend graph and the list on the display unit 23 (S209), and ends the process.

FIG. 16 shows an example of the display image 25. In display image 25 of FIG. 16, trend graphs 255, 256, and 257 of drive time, water level, and drive current of pump 1 and pump 2 of device ID "BAC321" from 13:00 to 14:00 on April 20, 2020 are shown. It is displayed enlarged. Below the enlarged trend graph, a list 258 from 13:00 to 14:00 on April 20, 2020 is also displayed. The level of "caution" is also displayed along with the enlargement. As described above, the background of the driving information period in which the driving situation level is "caution" is colored yellow. During the "Caution" operation period, the water level drops slowly, rises slowly, and then drops further.During this period, the current is held at a constant value and the operation time is long, so the inflow volume is large and a load is placed on the pump. It is visible that the

FIG. 17 shows the trend when "Air is difficult to escape (observation)" is clicked in the operation status of pump 1 when the drive start time is "11:57:39" in the list 258 of FIG. 15. Show a graph. In this case, there is a time interval of 59 to 0 minutes, so the trend graphs of the driving time, water level, and driving current from 11:00 to 13:00 on April 20, 2020 are shown in an enlarged display. As described above, among the derived driving situations, the background of the driving information period corresponding to the driving situation determined to be "observed" is colored green. It can be seen that during the "observation" operation period, the current value remains low for 20 seconds after the start of driving, and then returns to a normal value, during which time the water level once rises and then begins to fall. This is because the air remained in the pump main body 411 without being released, so it is visually recognized that the pump could not operate as intended for a while after the drive was started.

In this embodiment, the trend graph of the driving information distinguishes the driving information according to the driving situation, so it is easy to visually confirm whether the driving is normal or abnormal, and whether abnormal driving is detected. If this occurs, you can check the driving information in that case. By selecting the driving status in the list 258 by clicking, etc., the user can easily enlarge and display the driving information trend graph without setting a short-term display period.

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, the present invention is not limited to the case where the control unit 10 transmits image information of an enlarged trend graph to the terminal 2. Based on the designation of the link destination, the control unit 20 may generate an enlarged image of the trend graph from one day's worth of trend graphs and display it on the display unit 23.
Furthermore, the control unit 10 is not limited to inputting driving information into the learning model 112 to obtain driving conditions. The control unit 10 may derive the driving situation corresponding to the acquired driving information based on a rule base of the relationship between the driving time, the driving current, the water level, and the driving situation. That is, the driving situation is determined by the combination of each item of driving information. Based on the above relationship, for example, during the drive time, the water level drops slowly, then rises slowly, and then further drops, and during that period, the current is held at a constant value and the drive time is long, and based on the threshold value, Determine whether the amount of inflow and load has increased (observation) or the amount of inflow and load has increased (attention). Further, when the relationship can be expressed as a function, the control unit 10 sets a plurality of threshold values in stages for the value of the function, and derives the driving situation based on the obtained function value and the threshold value. Good too. Although the period to be enlarged and displayed is shown in units of hours, it may be in units of minutes or from the drive start time to the stop time.

(Second embodiment)
In the second embodiment, the display image 25 includes a word cloud display button. A word cloud is an image that includes characters (names of driving situations), and is an image that is displayed side by side with the font, size, color, arrangement, etc. changed depending on the information related to each character to be displayed. be.
FIG. 18 is a flowchart illustrating an example of a processing procedure for enlarged display of a trend graph executed by the information processing system 100.

The control unit 20 of the terminal 2 receives input of the device ID and date and time of the manhole pump device 4 through operation of the operation unit 24 by the user of the manhole pump device 4 (S221). A period is specified by accepting input of date and time.
The control unit 20 receives an instruction to display a trend graph and a word cloud (S222).
The user inputs the device ID and date and time of the manhole pump device 4 using the operation unit 24, and clicks the graph display button 253 and the word cloud display button.

The control unit 20 transmits an instruction to display the device ID, date and time, trend graph, and word cloud to the information processing device 1 (S223).
The control unit 10 receives an instruction to display the device ID, date and time, trend graph, and word cloud (S121).
The control unit 10 acquires the driving status at the specified date and time from the history DB 114 (S122).

The control unit 10 generates a word cloud of the operating status in the specified period for each pump based on the operating status (step S123). Specifically, the control unit 10 calculates the number of occurrences for each driving situation for all driving situations in the designated period acquired from the history DB 114, and calculates the number of occurrences for each driving situation based on the ratio of the number of occurrences for each driving situation to the total number of driving situations. , generates word clouds (text information) with different font sizes for driving situations. The control unit 10 displays the driving situation larger in the word cloud as the number of occurrences of the driving situation in the display target period increases. Note that this is not limited to changing the size of the characters for each driving situation depending on the number of occurrences, but also changing the font, color, arrangement, thickness, darkness, blinking, etc. of the characters for each driving situation depending on the number of times the driving situation occurs. You may change it accordingly.

The control unit 10 uses the device ID. The trend graph corresponding to the date and time is read from the graph DB 115, and the read trend graph and word cloud are transmitted to the terminal 2 (S124).
The control unit 20 receives the trend graph and word cloud (S224).
The control unit 20 displays on the display unit 23 a display image 25 in which a word cloud is superimposed on the trend graph of the corresponding period (S225).

FIG. 19 shows an example of the display image 25.
The display image 25 has word clouds 261 and 262. The word clouds 261 and 262 are displayed superimposed on the trend graph image in FIG. 14. In FIG. 19, a word cloud 261 of pump 41, which is pump 1 (ID No. 321-1), is displayed on the lower left side of the trend graph. A word cloud 262 of pump 41, which is pump 2 (ID No. 321-2), is displayed on the lower right side of the trend graph. In FIG. 19, a word cloud for each pump is displayed, but one word cloud may be displayed for the manhole pump device.

In the example of FIG. 19, in the word cloud for one day of pump 41 whose pump ID is 321-1, the words "normal operation" are displayed in large red letters, and the letters indicating other operating conditions are displayed in small black letters. There is. Therefore, from the display image 25, it can be easily seen that the operating status of pump "321-1" on April 20, 2020 was mostly normal operation. Furthermore, the occurrence status and occurrence ratio of abnormal driving can be visually recognized from the number of other driving situations displayed alongside normal driving and the display size of the driving situations. In the case of abnormal operation, a link destination for displaying an enlarged trend graph is specified, and when clicked, an image of the linked trend graph is acquired from the graph DB 115, and the control unit 10 displays the operation including the operating situation. The information is configured to zoom in on a trend graph for a period of time. For the same type of abnormal operation, the font, size, color, arrangement, etc. may be changed and displayed side by side according to the degree of "observation" and "caution" and according to the occurrence ratio.

The control unit 20 accepts the selection of the driving situation (S226). The user clicks on the link for the driving situation to be enlarged. For example, in the word cloud 261 of FIG. 19, the user clicks on the link "Air is difficult to escape" for the operating status of the pump 1.

The control unit 20 transmits the driving status link (time axis coordinates) to the information processing device 1 (S227).
The control unit 10 receives the driving status link (S125).
The control unit 10 acquires a portion of the linked trend graph corresponding to the period of the driving situation from the graph DB 115, and transmits the trend graph in which the time on the horizontal axis is enlarged and displayed to the terminal 2 (S126). “Air is difficult to escape” has a larger font size than “air mixed in when stopped,” “dry running,” and “increase in flow rate and load,” and there are multiple corresponding trend graphs, so the control unit 10 A plurality of trend graphs are acquired and sent to the terminal 2.
The control unit 20 receives the trend graph (S228).
The control unit 20 displays the trend graph on the display unit 23 (S229), and ends the process. When multiple trend graphs are received, the terminal 2 displays a list that describes the time and degree of the trend graph, and the user selects one of them to display the selected trend graph. The information may be configured to be displayed. Further, if a plurality of driving conditions corresponding to a specified driving condition link are included within a predetermined time range, the plurality of driving conditions may be displayed in one trend graph. In the word cloud 261 of FIG. 19, when the link "Air is difficult to escape" for the operating status of the pump 1 is selected, the control unit 20 enlarges the image of FIG. 19 in the same manner as that of FIG. 17, as shown in FIG. A display image 25 on which an image of a displayed trend graph is superimposed is displayed. In FIG. 20, the trend graphs displayed in a superimposed manner display a plurality of driving conditions in one trend graph. In this manner, the control unit 20 displays an enlarged trend graph centered on the time of occurrence in the display section 250 in the order in which the "air is difficult to escape" operating conditions of the pump 1 occur.

In this embodiment, the occurrence status and occurrence ratio of each driving can be visually recognized from the display size of the driving status and the like. Then, a trend graph of driving information is output that enlarges the period including the time when the selected driving situation was derived, so it is possible to easily visually check the driving information at the time when the driving situation occurred and the time before and after the time. Can be done.
When the same driving situation occurs in different periods and the driving situation is selected, trend graphs may be displayed in order of earliest period, or the period may be selected by the user.
Furthermore, the period for displaying the word cloud is not limited to one day. Word clouds from different time periods may be displayed simultaneously.

(Third embodiment)
In the third embodiment, the control unit 10 acquires the position information of each manhole pump device 4 in advance and stores it in the device DB 113, and a map image (Fig. 22) is stored in the storage unit 11. The display image 25 has a map image display button.
FIG. 21 is a flowchart illustrating an example of a processing procedure for enlarged display of a trend graph executed by the information processing system 100.
The control unit 20 of the terminal 2 receives an instruction to display a map image (S231). The user clicks on the map image display button using the operation unit 24.

The control unit 20 transmits an instruction to display a map image to the information processing device 1 (S232).
The control unit 10 receives an instruction to display a map image (S131).

The control unit 10 reads the map image from the storage unit 11 and transmits it to the terminal 2 (S132).
The control unit 20 receives the map image (S233).
The control unit 20 displays the map image 259 on the display unit 23 (S234, see FIG. 22).

The control unit 20 receives the selection of the manhole pump device 4 (S235). The control unit 20 receives the selection of the pin mark 260 corresponding to the desired manhole pump device 4 by the user's operation in a state where the map image 259 including the pin mark 260 is displayed.
The control unit 20 receives input of date and time through the user's operation of the operation unit 24 (S236). A period is specified by accepting input of date and time.
The control unit 20 transmits the manhole pump device and date and time to the information processing device 1 (S237).
The control unit 10 receives the manhole pump device and the date and time (S134).

The control unit 10 reads the operating status of the pump 41 corresponding to the manhole pump device 4 with the pin mark 260 from the history DB 114, and generates a list (S135). The list includes an operation information column including a date and time column, a pump number column, a status column, and a drive time column, and an operation status column. In the driving status column, links to trend graphs are specified for driving statuses other than normal.
The control unit 10 transmits the list (S136).
The control unit 20 receives the list (S238).

The control unit 20 displays the list 258 superimposed on the map image 259 (S239). As shown in FIG. 22, in the display portion 250, a list 258 is displayed superimposed on a map image 259.
The control unit 20 receives the selection of the driving situation (S240). The user clicks on the link for the driving situation to be enlarged. For example, in FIG. 22, the user clicks on the link "Inflow amount and load increase (caution)" for the operating status of the pump 1 whose drive start time is "13:17:51".

The control unit 20 transmits the driving status link to the information processing device 1 (S241).
The control unit 10 receives the driving status link (S137).
The control unit 10 acquires a portion of the linked trend graph corresponding to the period of the driving situation from the graph DB 115, and transmits the trend graph in which the time on the horizontal axis is enlarged and displayed to the terminal 2 (S138).
The control unit 20 receives the trend graph (S242).
The control unit 20 displays the trend graph on the display unit 23 (S243), and ends the process. As shown in FIG. 23, trend graphs 255, 256, and 257 of driving time, water level, and driving current are displayed in an enlarged manner superimposed on the map image 259 of the display portion 250.

According to the present embodiment, the position of the pin mark 260 of the manhole pump device 4 on the map image 259 and the enlarged trend graph allow the user to know the location of the manhole pump device 4 and the pump 41 and the details of the operating status. It is possible to have a concrete understanding.

In this embodiment, the user can easily associate and understand the location of the device or equipment, the driving situation, and the content of the driving information. For example, if there is an upstream side (water supply side) and a downstream side (water receiving side) relationship between the manhole pump devices 4 indicated by pin marks 260 on the map image 259, an upstream pin mark may be displayed on the map image 259. By displaying an arrow pointing from 260 to the downstream pin mark 260, the manhole pump device 4 on the upstream side and the manhole pump device 4 on the downstream side can be easily identified with respect to the manhole pump device 4 or pump 41 of interest. It becomes easy to understand the operating status of the pumps 41 of the manhole pump device 4 and to identify the location where an abnormality occurs in the entire system including the piping.

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.

100 Information processing system 1 Information processing device 10 Control unit (acquisition unit, derivation unit, first output unit, second output unit, third output unit, fourth output unit)
11, 21, 31 Storage unit 111, 211 Program 112 Learning model 113 Device DB
114 History DB
115 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 (9)

an acquisition unit that acquires operation information related to the operation status of the equipment in chronological order ;
a derivation unit that derives the operational status of the device , including normal operation and abnormal operation, which changes over time based on the acquired operational information, for each period ;
a storage unit that stores the acquired operating information and the derived operating status in association with time information indicating a period during which the device was in the operating status ;
a first output unit that outputs, in accordance with the derived driving situation, image information including a trend graph of driving information corresponding to the driving situation and a list of texts indicating the derived driving situation ;
a second output unit that outputs image information in which the trend graph is enlarged to a width that includes a period during which the device was in the operating condition when a selection of an operating condition is received from the list;
An information processing device comprising: The information processing device according to claim 1, wherein the first output unit outputs the image information in which periods of driving information corresponding to the derived driving conditions are color-coded. 1 . The deriving unit inputs the driving information acquired by the acquiring unit to a learning model that outputs the driving status when driving information related to the driving status of the device is input, and derives the driving status. Or the information processing device according to 2. The information processing device according to any one of claims 1 to 3, wherein the second output unit outputs image information including a list of driving conditions during the period in response to the trend graph. Further comprising a third output unit that outputs image information in which at least one of the font, size, color, or position of the characters of the driving situation is different depending on the number of occurrences of the driving situation in a predetermined period,
When the second output unit receives the selection of the operating status outputted by the third output unit, the second output unit generates image information that enlarges and displays the trend graph to a width that includes the period during which the device was in the operating status. The information processing device according to any one of claims 1 to 4 , which outputs. comprising a fourth output unit that outputs image information including the position of one or more devices,
The information processing apparatus according to any one of claims 1 to 5 , wherein the first output unit outputs the image information corresponding to the accepted device when a selection of a device is accepted. The device is a submersible pump for discharging water stored in a storage tank,
The information processing device according to any one of claims 1 to 6 , wherein the operating information is a driving current of the submersible pump or a water level of water stored in the storage tank. Obtain operating information related to the operating status of equipment in chronological order ,
Based on the acquired operating information, derive the operating status of the equipment that changes over time , including normal operation and abnormal operation, for each period ,
storing the acquired operating information and the derived operating status in association with time information indicating a period during which the device was in the operating status ;
In accordance with the derived driving situation, outputting image information including a trend graph of driving information corresponding to the driving situation and a list of texts indicating the derived driving situation ,
When receiving a selection of an operating condition from the list, output image information in which the trend graph is enlarged to a width that includes the period during which the device was in the operating condition.
Information processing method. Obtain operating information related to the operating status of equipment in chronological order ,
Based on the acquired operating information, derive the operating status of the equipment that changes over time , including normal operation and abnormal operation, for each period ,
storing the acquired operating information and the derived operating status in association with time information indicating a period during which the device was in the operating status ;
In accordance with the derived driving situation, outputting image information including a trend graph of driving information corresponding to the driving situation and a list of texts indicating the derived driving situation ,
When receiving a selection of an operating condition from the list, output image information in which the trend graph is enlarged to a width that includes the period during which the device was in the operating condition.
A computer program that causes a computer to perform a process.

Images