Program, information processing method, and information processing apparatus

Abstract

We provide programs and other tools that can display information about the status of equipment in an easily understandable format. [Solution] The program according to one example of this embodiment acquires information on the operation of a pump installed in a pump system device for a predetermined period of time and information on the status of the pump system device based on rainfall in the area where the pump system device is installed, and displays the location of the pump system device on a map in a display format corresponding to the information on the status.

Description

Technical Field

[0001] The present technology relates to a program, an information processing method, and an information processing apparatus.

Background Art

[0002] Conventionally, a separate sewer system that separates sewage and rainwater into different pipes and a combined sewer system that allows sewage and rainwater to flow through the same pipe have been used. In a separate sewer system, sewage flows through a sewage pipe and rainwater flows through a rainwater pipe. When an abnormality occurs in the drainage path, water that should not normally flow (incoming water) may flow into the pump system device connected to the sewage pipe, and rainwater that should normally flow may not flow into the pump system device connected to the rainwater pipe. In the case of a combined sewer system, it is natural for rainwater to flow in, but the inflow volume on the downstream side may be too large or too small compared to the inflow volume on the upstream side. For example, the monitoring device for a manhole (pump system device) described in Patent Document 1 calculates the flow rate by measuring the water level in the manhole using an ultrasonic water level sensor, and notifies an abnormality based on the calculated flow rate. Here, a pump system device is a device provided on a drainage path that discharges the drainage flowing in from an inflow pipe through a pump from a discharge pipe, and a device that pumps out the drainage temporarily stored in a manhole is well-known.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the monitoring device described in Patent Document 1 does not consider making information regarding the state of the device easily visible for display.

[0005] This disclosure is made in view of the circumstances described above, and aims to provide a program or the like that can display information regarding the status of the equipment in an easily viewable manner. [Means for solving the problem]

[0006] The program described herein obtains the degree of infiltration impact obtained from multiple types of statistical data derived by combining operating information of pumps (equipment) over a predetermined period, and from precipitation data, and causes a computer to execute a process that displays the impact of infiltration on each pump on a map in different ways according to the degree of impact. [Brief explanation of the drawing]

[0007] [Figure 1] This is a schematic diagram showing an example configuration of the information processing system according to Embodiment 1. [Figure 2] This is a block diagram showing an example of the configuration of an information processing device. [Figure 3] This is a block diagram showing an example of a terminal configuration. [Figure 4] This is a perspective view showing the configuration of the control device and pump system. [Figure 5] Block diagram showing an example configuration of a control device, etc. [Figure 6] This is an explanatory diagram showing an example of a driver information table. [Figure 7] This is an explanatory diagram showing the first statistical data and the graph of the first statistical data. [Figure 8] This is an explanatory diagram showing the second set of statistical data and the graph of the second set of statistical data. [Figure 9] This is an explanatory diagram showing the third statistical data and the graph of the third statistical data. [Figure 10] This is an explanatory diagram showing the fourth statistical data and the graph of the fourth statistical data. [Figure 11] This is an explanatory diagram showing an example of a state determination table. [Figure 12] This is an explanatory diagram showing an example of a status information table. [Figure 13] This is an explanatory diagram showing an example of an analysis instruction screen. [Figure 14] It is an explanatory diagram showing an example of an analysis result display screen. [Figure 15] It is a flowchart showing an example of the processing of an information processing apparatus and a terminal according to Embodiment 1. [Figure 16] It is a flowchart showing an example of the analysis processing of the information processing apparatus according to Embodiment 1. [Figure 17] It is a block diagram showing a configuration example of an information processing apparatus according to Embodiment 2. [Figure 18] It is an explanatory diagram showing an example of a learning model. [Figure 19] It is a flowchart showing an example of the analysis processing of the information processing apparatus according to Embodiment 2. [Figure 20] It is a schematic diagram showing a configuration example of an information processing system according to Embodiment 3. [Figure 21] It is a block diagram showing a configuration example of an information processing apparatus according to Embodiment 3. [Figure 22] It is an explanatory diagram showing an example of an operation information table according to Embodiment 3. [Figure 23] It is an explanatory diagram showing an example of a system table. [Figure 24] It is an explanatory diagram showing an example of an analysis instruction screen according to Embodiment 3. [Figure 25] It is an explanatory diagram showing an example of an estimated result display screen. [Figure 26] It is a flowchart showing an example of the processing of an information processing apparatus and a terminal according to Embodiment 3. [Figure 27] It is a flowchart showing an example of the analysis processing of the information processing apparatus according to Embodiment 3. [Figure 28] ]>It is a block diagram showing a configuration example of an information processing apparatus according to Embodiment 4. [Figure 29] It is an explanatory diagram showing an example of a pump location table. [Figure 30] It is an explanatory diagram showing an example of a map display screen. [Figure 31] It is an explanatory diagram showing an example of a detailed display screen. [Figure 32]This shows the pump system device list screen. [Figure 33] This is an explanatory diagram showing an example of a map display screen according to a modified example of Embodiment 4. [Figure 34] This flowchart shows an example of processing by the information processing device and terminal according to Embodiment 4. [Figure 35] This flowchart shows the details of the display process for the map display screen and the detailed display screen. [Figure 36] This flowchart shows the details of the display process for the map display screen and the detailed display screen. [Figure 37] This is an explanatory diagram showing an example of a map display screen according to Embodiment 5. [Figure 38] This is an explanatory diagram showing an example of a detailed display screen according to Embodiment 5. [Figure 39] This flowchart shows an example of processing by the information processing device and terminal according to Embodiment 5. [Figure 40] This flowchart shows an example of the process for calculating the rainfall increase rate and the amount of increase during rainfall for an information processing device (calculation process). [Figure 41] This flowchart shows the details of the display process for the map display screen and detailed display screen by the terminal according to Embodiment 5. [Figure 42] This flowchart shows the details of the display process for the map display screen and detailed display screen by the terminal according to Embodiment 5. [Modes for carrying out the invention]

[0008] (Summary of the present invention) (1) A program according to one aspect of the present invention causes a computer to perform a process of generating first statistical data based on operating information of equipment with respect to a first time axis and a second time axis having a different scale from the first time axis, and generating second statistical data based on the average of the first statistical data group over a predetermined period.

[0009] In one aspect of the present invention, it is possible to output information about the status of equipment with high accuracy based on the operating information of the equipment at each time and the average of the operating information over a predetermined period. For example, if the day of the week is set on the first time axis and the time is set on the second time axis, the operating information for a specific day of the week and a specific time (grid point) in a specified week is included in the first statistical data. The second statistical data includes the average of the operating information at each grid point (each day of the week and each time) of a plurality of first statistical data over a predetermined period (e.g., three months). Based on the difference between the first statistical data and the second statistical data, it is possible to output information about the status of equipment with high accuracy.

[0010] (2) A program according to one aspect of the present invention outputs information relating to the status of the device based on the first statistical data and the second statistical data.

[0011] In one aspect of the present invention, information regarding the state of the equipment includes, for example, whether the equipment is in a normal state or an abnormal state, or information regarding the cause if the equipment is in an abnormal state. Based on the difference between first statistical data and second statistical data, it is possible to output information regarding whether the equipment is in a normal state or an abnormal state, or the cause if the equipment is in an abnormal state.

[0012] (3) A program according to one aspect of the present invention is wherein the device is a pump system device, and the operating information is the operating time per unit time of a pump provided in the pump system device.

[0013] In one aspect of the present invention, the operating time of the pump per unit time increases as the amount of water flowing through the pump system increases. Based on the operating time of the pump per unit time, it is possible to output information regarding the status of the pump system.

[0014] (4) A program according to one aspect of the present invention outputs information regarding the status of the pump system device based on the correlation between the first statistical data and the second statistical data.

[0015] In one aspect of the present invention, for example, if the correlation between the first statistical data and the second statistical data is weak, it is possible to output information indicating that the pump system is in an abnormal state.

[0016] (5) A program according to one aspect of the present invention generates third statistical data based on the difference between the first statistical data and the second statistical data.

[0017] In one aspect of the present invention, it is possible to easily grasp the difference in operating time between the first statistical data and the second statistical data. In this aspect, the third statistical data is generated by subtracting the operating time value of the second statistical data from the value of the first statistical data at each grid point, and for grid points where the subtracted value is negative, the value is rounded up and 0 is stored. This makes it possible to easily grasp the difference in operating time for grid points where the operating time of the first statistical data exceeds the average operating time of the second statistical data.

[0018] (6) A program according to one aspect of the present invention outputs information regarding the status of the pump system device based on the third statistical data.

[0019] In one aspect of the present invention, it is possible to output information including whether the abnormal condition of the pump system device is minor or serious.

[0020] (7) A program according to one aspect of the present invention generates a fourth statistical data based on the first and second time axes, which is based on the amount of rainfall in the area where the pump system is installed.

[0021] In one aspect of the present invention, it is possible to visualize the amount of rainfall in an area where a pump system is installed. For example, if the difference operating time value of the third statistical data is large at a grid point with high rainfall, it is possible to output information that the pump system is in an abnormal state due to infiltration water associated with the rainfall.

[0022] (8) A program according to one aspect of the present invention outputs information regarding the status of the pump system device based on the correlation between the third statistical data and the fourth statistical data.

[0023] In one aspect of the present invention, for example, when there is a strong correlation between the third statistical data and the fourth statistical data, that is, at a grid point with high precipitation, if the operating time of the first statistical data significantly exceeds the operating time of the second statistical data, it is possible to determine that there is a correlation between the increase in operating time and the amount of precipitation, and to output information that the pump system is in an abnormal state due to infiltration water associated with precipitation.

[0024] (9) A program according to one aspect of the present invention outputs information about the state, including information about infiltrating water flowing into the pump system device in conjunction with precipitation, based on the correlation between the first statistical data and the second statistical data, the third statistical data, and the correlation between the third statistical data and the fourth statistical data.

[0025] In one aspect of the present invention, for example, if the correlation between the first statistical data and the second statistical data is weak, and the correlation between the third statistical data and the fourth statistical data is strong, it is possible to output information that the pump system connected to the sewage pipeline is in an abnormal state due to infiltration water caused by rainfall, and it is also possible to output information that the pump system connected to the rainwater pipeline is in a normal state. Furthermore, based on the third statistical data, it is possible to output the degree of influence of infiltration water on the abnormal state of the pump system.

[0026] (10) A program according to one aspect of the present invention outputs information regarding the state of the pump system when at least two of the following are input: the correlation coefficient between the first statistical data and the second statistical data, the correlation coefficient between the third statistical data and the fourth statistical data, or the operating time increase ratio based on the second statistical data and the third statistical data.

[0027] In one aspect of the present invention, it is possible to output information regarding the status of the pump system device with high accuracy based on first statistical data, second statistical data, third statistical data, and fourth statistical data.

[0028] (11) A program according to one aspect of the present invention, wherein the units of the first time axis and the second time axis include minutes, hours, days, days of the week, months, or years.

[0029] In one aspect of the present invention, first statistical data, second statistical data, third statistical data, or fourth statistical data can be generated for multiple period lengths, and information regarding the status of the equipment can be output with high accuracy.

[0030] (12) A program according to one aspect of the present invention outputs cautionary information based on information regarding the status of the pump system device.

[0031] In one aspect of the present invention, if the pump system device is in an abnormal state, it is possible to output warning information, including information or instructions for resolving the abnormal state, to encourage the resolution of the abnormal state.

[0032] (13) A program according to one aspect of the present invention estimates the location in which infiltrating water is occurring in a plurality of pump system devices that are connected to each other by a wastewater pipeline, based on information about infiltrating water flowing into the pump system devices.

[0033] In one aspect of the present invention, it is possible to estimate the location of water infiltration in the wastewater pipeline based on the connection relationship (system) in the wastewater pipeline between a pump system device experiencing a malfunction due to water infiltration and a pump system device that is not experiencing a malfunction. This makes it possible to narrow down the candidates for locations where water infiltration is occurring and requires repair, thereby reducing the labor involved in maintenance work on the wastewater pipeline or pump system device.

[0034] (14) An information processing method according to one aspect of the present invention generates first statistical data based on operating information of equipment with reference to a first time axis and a second time axis having a different scale from the first time axis, and generates second statistical data based on the average of a first statistical data group including a plurality of the first statistical data over a predetermined period.

[0035] In one aspect of the present invention, it is possible to output information regarding the status of the equipment with high accuracy.

[0036] (15) An information processing device according to one aspect of the present invention includes a control unit that generates first statistical data based on operating information of equipment with reference to a first time axis and a second time axis having a different scale from the first time axis, and generates second statistical data based on the average of a first statistical data group including a plurality of the first statistical data over a predetermined period.

[0037] In one aspect of the present invention, it is possible to output information regarding the status of the equipment with high accuracy.

[0038] (16) A program according to one aspect of the present invention acquires information on the operation of a pump provided in a pump system device for a predetermined period of time and information on the status of the pump system device based on rainfall in the area where the pump system device is provided, and causes a computer to perform a process of displaying the location of the pump system device on a map in a display format corresponding to the information on the status.

[0039] In one aspect of the present invention, it is possible to simultaneously visualize information regarding infiltrating water flowing into the pump system and the location of the pump system.

[0040] (17) A program according to one aspect of the present invention generates first statistical data based on the operation information of the pumps provided in the pump system, with reference to a first time axis and a second time axis of a different scale from the first time axis; generates second statistical data based on the average of the first statistical data group over a predetermined period; generates third statistical data based on the difference between the first statistical data and the second statistical data; generates fourth statistical data based on the amount of rainfall in the area where the pump system is provided, with reference to the first time axis and the second time axis; and obtains information about the state, including information about infiltrating water flowing into the pump system due to rainfall, based on the correlation between the first statistical data and the second statistical data, the third statistical data, and the correlation between the third statistical data and the fourth statistical data.

[0041] In one aspect of the present invention, information regarding infiltrating water flowing into a pump system can be obtained based on operating information and rainfall. For example, if the correlation between the first statistical data and the second statistical data is weak, and the correlation between the third statistical data and the fourth statistical data is strong, it is possible to output information that the pump system connected to the sewage pipeline is in an abnormal state due to infiltrating water caused by rainfall, and it is also possible to output information that the pump system connected to the rainwater pipeline is in a normal state. Furthermore, based on the third statistical data, it is possible to output the degree of influence of infiltrating water on the abnormal state of the pump system.

[0042] (18) A program according to one aspect of the present invention acquires information about the state, which includes at least one of the following: a rainy weather increase rate, which is the increase rate of the operating time or discharge volume of the pump per unit time during rainy weather compared to sunny weather in the area where the pump system device is installed; and a rainy weather increase amount, which is the increase in the discharge volume of the pump per unit time during rainy weather compared to sunny weather.

[0043] In one aspect of the present invention, by obtaining the rate of increase in the pump's operating time or discharge volume during rainy weather compared to sunny weather, and the amount of increase in the discharge volume, it is possible to easily provide evidence for the possibility of water ingress into the pump system. If there is no water ingress into the pump system, the operating time per unit time of the pump is not affected by the weather. If the operating time per unit time of the pump increases during rainy weather compared to sunny weather, it is presumed that rainwater is ingressing into the pump system. Therefore, by showing the rate of increase during rainy weather, it is possible to easily provide evidence for the possibility of water ingress. Here, the discharge volume is calculated as the operating time, and the discharge volume per unit time (unit: m) is calculated as the discharge volume per unit time under predetermined conditions based on the specifications of the pump. 3 The current method involves multiplying by ( / s) to obtain the calculated discharge volume, but it is also acceptable to obtain the discharge volume using a flow meter.

[0044] (19) A program according to one aspect of the present invention causes the display format of the location of the pump system device to differ according to the magnitude of the amount of increase during rainy weather or the rate of increase during rainy weather included in the information relating to the state.

[0045] In one aspect of the present invention, for example, the location of a pump system device is indicated by an icon on a map. The icons indicating the location of the pump system device are displayed in stages according to the magnitude of the increase rate or amount of increase of the pump system device during rainy weather. Therefore, the positional relationship of multiple pump system devices that are highly likely to be affected by water infiltration can be visually identified, making it easier to estimate the location where water infiltration is occurring.

[0046] (20) A program according to one aspect of the present invention displays the location of the pump system device in a different manner depending on the likelihood that the infiltrating water associated with precipitation, which is included in the information regarding the state, is flowing into the pump system device.

[0047] In one aspect of the present invention, for example, the location of a pump system device is indicated by an icon on a map. The icons indicating the location of the pump system device are displayed in stages according to the likelihood of water infiltration into the pump. Therefore, the relative positions of multiple pump system devices with a high probability of water infiltration can be visually identified, making it easier to estimate the location where water infiltration is occurring in the wastewater pipeline.

[0048] (21) A program according to one aspect of the present invention displays, in addition to information identifying the pump system devices for a plurality of pump system devices, at least one of the rainy weather increase rate and the rainy weather increase amount for the pump system devices, in descending order of the rainy weather increase rate or the rainy weather increase amount.

[0049] In one aspect of the present invention, it is possible to prioritize the display of pump system devices that are highly likely to be experiencing water infiltration.

[0050] (22) A program according to one aspect of the present invention calculates the amount of water discharged per unit time by the pump based on the operating time of the pump per unit time, and displays a graph showing the trend of rainfall in the area where the pump system is installed over a predetermined period, and a graph showing the trend of the amount of water discharged per unit time by the pump.

[0051] In one aspect of the present invention, the relationship between rainfall and the discharge volume of the pump can be displayed in a way that makes it easy to understand.

[0052] (23) A program according to one aspect of the present invention displays a graph showing the discharge volume of the pump per unit time at each date and time of a predetermined period, with the first time axis representing the date, the second time axis representing the time, and the third axis representing the discharge volume per unit time.

[0053] In one aspect of the present invention, the amount of water discharged from the pump, which is the basis for determining the possibility of water infiltration, can be easily displayed.

[0054] (24) A program according to one aspect of the present invention displays a graph showing the amount of rainfall in the area where the pump system is installed at each date and time of a predetermined period, with the first time axis representing the date, the second time axis representing the time, and the third axis representing the amount of rainfall per unit time.

[0055] In one aspect of the present invention, it is possible to display the amount of precipitation that serves as the basis for determining the possibility of water infiltration, so that it can be easily understood.

[0056] (25) A program according to one aspect of the present invention indicates the location of the pump system device on the map using an icon, accepts the selection of the icon, and displays a detailed display screen that includes information regarding the status of the pump system device corresponding to the selected icon.

[0057] In one aspect of the present invention, detailed information about the pump system can be easily displayed by selecting an icon displayed on a map.

[0058] (26) A program according to one aspect of the present invention accepts the selection of information identifying the pump system device and displays a detailed display screen including at least one of the following for the pump system device relating to the selected information: a graph showing the discharge volume of the pump in clear weather, the discharge volume of the pump in rainy weather, the trend of rainfall in the area where the pump system device is installed over a predetermined period, and the trend of the discharge volume of the pump per unit time; a graph showing the discharge volume of the pump per unit time at each date and time of a predetermined period with the first time axis being the date, the second time axis being the time, and the third axis being the discharge volume per unit time; and a graph showing the rainfall in the area where the pump system device is installed at each date and time of a predetermined period with the first time axis being the date, the second time axis being the time, and the third axis being the rainfall per unit time.

[0059] In one aspect of the present invention, by selecting information that identifies the displayed pump system device, it is possible to easily display detailed information about the pump system device.

[0060] (27) A program according to one aspect of the present invention displays a precipitation distribution superimposed on the map.

[0061] In one aspect of the present invention, it is possible to display the relationship between a pump system device that is highly likely to be generating infiltration water and the amount of rainfall, so that it can be easily understood.

[0062] (28) An information processing method according to one aspect of the present invention involves obtaining information on the status of a pump system based on the operating time of a pump provided in the pump system for a predetermined period and the amount of rainfall in the area where the pump system is provided, and causing a computer to perform a process of displaying the location of the pump system on a map in a display format corresponding to the information on the status.

[0063] In one aspect of the present invention, it is possible to simultaneously visualize information regarding infiltrating water flowing into the pump system and the location of the pump system.

[0064] (29) An information processing device according to one aspect of the present invention includes a control unit that acquires information on the status of a pump system device based on the operating time of a pump provided in the pump system device for a predetermined period and the amount of rainfall in the area where the pump system device is provided, and displays the location of the pump system device on a map in a display format corresponding to the information on the status.

[0065] In one aspect of the present invention, it is possible to simultaneously visualize information regarding infiltrating water flowing into the pump system and the location of the pump system.

[0066] The present invention will be described in detail below with reference to the drawings illustrating embodiments.

[0067] (Embodiment 1) Figure 1 is a schematic diagram showing an example configuration of an information processing system according to Embodiment 1. In the information processing system 100, the information processing device 1 of the information management company, the user's terminal 2, and the control device 3 of the pump system device 4 are connected via a network N such as the Internet. The pump system device 4, as a piece of equipment, is connected to a wastewater pipeline 6 (inlet pipe 43 and discharge pipe 45 (see Figure 4)) in the sewer system and is equipped with a pump 41. The control device 3 measures the operating information of the pump 41. The information processing device 1, terminal 2, and control device 3 each send and receive information via the network N. In addition, the information processing device 1 acquires weather data, including precipitation in the area where the pump system device 4 is installed, from a weather server 5 via the network N.

[0068] The operating information according to this embodiment is the operating time of the pump 41 per unit time (e.g., 1 hour). The operating information may include any information relating to the operating status of the pump 41, such as the number of times the pump 41 is operated, the operating current, the discharge volume, the amount of water level fluctuation in the storage tank 44 (see Figure 4), or a combination of these.

[0069] The information processing device 1 is, for example, a server computer. The information processing device 1 acquires operational information of the pump 41 from the control device 3 and transmits (outputs) various statistical data (first statistical data, second statistical data, third statistical data, and fourth statistical data) and information regarding the state of the pump system device 4 (state information) identified based on the statistical data to the terminal 2. The information processing device 1 may be implemented by multiple server devices or computers, or it may correspond to a node on a blockchain. Furthermore, the information processing device 1 may be configured as an integral part of the terminal 2.

[0070] Terminal 2 is an information terminal equipped with a display function, such as a personal computer, smartphone, or tablet. The user of Terminal 2 is, for example, the administrator of the pump system device 4 (for example, a local government official, equipment maintenance manager, etc.), and the user monitors the operation information of the pump 41 using Terminal 2. Terminal 2 may implement some or all of the functions of the information processing device 1, or it may be configured as an integral part of the information processing device 1. Terminal 2 transmits instructions to the information processing device 1 for analysis (generation of various statistical data, and output of status information and warning information), and displays the analysis results (various statistical data, status information, and warning information) received (acquired) from the information processing device 1 to the user.

[0071] Figure 2 is a block diagram showing an example configuration of the information processing device 1. The information processing device 1 comprises a control unit 10 that controls the entire device, a storage unit 11, and a communication unit 12. The information processing device 1 can be composed of one or more servers. The information processing device 1 may perform distributed processing using multiple units. It may also be one of multiple server computers (instances) virtually created on a single large computer.

[0072] The control unit 10 can be composed of a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), etc. The control unit 10 may also include a GPU (Graphics Processing Unit). The control unit 10 reads the program described later and executes various processes.

[0073] The storage unit 11 includes non-volatile memory such as a large-capacity memory or a hard disk. The storage unit 11 stores the program 111 (program product) necessary for the control unit 10 to execute processing, as well as the operation information table 112, the status determination table 113, and the status information table 114. Details of the operation information table 112, the status determination table 113, and the status information table 114 will be described later. The storage unit 11 may be composed of multiple storage devices, or it may be an external storage device connected to the information processing device 1.

[0074] The program 111 stored in the storage unit 11 may be provided by a recording medium 11a on which the program 111 is recorded in a readable format. The recording medium 11a is, for example, a portable memory such as a USB memory, SD card, microSD card, or CompactFlash®. The program 111 recorded on the recording medium 11a is read from the recording medium 11a using a reading device not shown in the figure and installed in the storage unit 11. Alternatively, the program 111 stored in the storage unit 11 may be provided by communication via the communication unit 12. The program 111 is executed by the control unit 10 of the information processing device 1, but may also be executed by the terminal control unit 20 of the terminal 2 (see Figure 3) or the device control unit 30 of the control device 3 (see Figure 5).

[0075] Figure 3 is a block diagram showing an example configuration of terminal 2. Terminal 2 comprises a terminal control unit 20, a storage unit 21, a communication unit 22, a display unit 23, and an operation unit 24.

[0076] The terminal control unit 20 includes a processor such as a CPU or GPU, and memory, etc. The terminal control unit 20 may be configured as a single hardware (SoC: System On a Chip) integrating the processor, memory, storage unit 21, and communication unit 22. The terminal control unit 20 controls each component and executes processing based on the program 211 stored in the storage unit 21.

[0077] The storage unit 21 includes, for example, non-volatile memory such as a hard disk or SSD. The storage unit 21 stores programs and data that the terminal control unit 20 references, including the program 211.

[0078] The communication unit 22 is a communication interface that enables communication with the information processing device 1 via the network N.

[0079] The display unit 23 includes a display such as a liquid crystal panel or an organic EL (Electro-Luminescence) display. The terminal control unit 20 displays various images, including a list of operating status, on the display unit 23 according to instructions from the terminal 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, and a microphone. The operation unit 24 accepts operation input from the user and sends control signals to the terminal control unit 20 according to the operation content.

[0080] Figure 4 is a perspective view showing the configuration of the control device 3 and the pump system device 4. The control device 3 is installed, for example, inside a control panel 300 located near the pump system device 4. The control device 3 is electrically connected to the pump 41 and the water level gauges 42 and 46, respectively, and acquires operating information regarding the operating time of the pump 41 and information regarding the water level of the pump system device 4. The control device 3 may also be electrically connected to measuring instruments such as an ammeter (not shown) for measuring the current in the drive unit 412 of the pump 41, a pressure gauge (not shown) for measuring the discharge pressure, or a flow meter (not shown) for measuring the discharge volume, and acquire operating information including the operating current, discharge pressure, or discharge volume of the pump 41. The control device 3 transmits the acquired operating information to the information processing device 1.

[0081] In this embodiment, the pump system device 4 is a pump system device equipped with a pump inside a manhole, as shown in Figure 4, but it is not limited to this, and it may also be a pump system device equipped with a pump inside a drainage tank installed on the property, or a pump system device in which the pump is directly connected to the inlet pipe and discharge pipe. Furthermore, the pump system device 4 is not limited to wastewater, but may also be a pump system device for draining rainwater. In addition, the pump 41 is a submersible pump located inside the storage tank 44, but it may also be a land-based pump in which part or all of the pump is installed outside the storage tank.

[0082] The pump system device 4 includes a storage tank 44 for storing wastewater flowing in from the inlet pipe 43, two pumps 41, 41 for pressurizing the wastewater stored in the storage tank 44 toward the discharge pipe 45, and water level gauges 42, 46 for measuring the water level of the wastewater stored in the storage tank 44. The inlet pipe 43 through which wastewater flowing into the pump system device 4 flows and the discharge pipe 45 through which wastewater discharged by the pumps 41 flows constitute the wastewater pipeline 6 in a separate sewer system.

[0083] Pump 41 comprises a pump body 411 and a drive device 412, such as a motor, located on top of the pump body 411. Normally, the two pumps 41, 41 are operated alternately, but if, for example, an abnormally high water level occurs, the two pumps 41, 41 are operated simultaneously to increase the amount of wastewater being pumped. The control device 3 acquires the operating time of each pump 41 from the start of operation to the stop of operation of the drive device 412, accumulates the operating time of the pumps 41 per hour, and stores it as operating information. When both pumps 41 are operated simultaneously, the control device 3 acquires operating information by accumulating the total operating time. For example, if both pumps 41 are operated simultaneously for 100 seconds, the control device 3 accumulates 200 seconds in the operating time per hour and uses it as operating information. The control device 3 may also acquire operating information for the time when at least one of the two pumps 41 is operated.

[0084] Furthermore, the number of pumps 41 installed in the pump system device 4 is not limited to two. There may be one pump 41 installed in the pump system device 4, or there may be three or more pumps 41. In addition, a tank stirring device (not shown) that serves as a jetting mechanism may be provided in the pump 41 or in the pressurized piping within the storage tank 44. The tank stirring device creates a strong stirring vortex in the storage tank 44 with the water jetted by the pump 41, suppressing the accumulation of sediment, the solidification of oils and greases, and the generation of scum, thereby reducing maintenance.

[0085] The water level gauge 42 is, for example, a bubble type or a submersible pressure type water level gauge. The bubble type water level gauge 42 has an air discharge unit 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 unit 421, a pressure sensor, and a controller (not shown). The water level gauge 42 detects the water level of the 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 to detect abnormally high water levels in the storage tank 44. The water level gauge 46 can be any type that can detect a predetermined water level, and may be, for example, a float type water level gauge. The water level information detected by the water level gauges 42 and 46 is transmitted to the control device 3.

[0086] 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 rises above a predetermined drive level, the control device 3 drives the drive unit 412 of one of the pumps 41. The operation of the pump 41 sends the wastewater in the storage tank 44 to the discharge pipe 45, causing the water level in the storage tank 44 to drop. When the water level in the storage tank 44 reaches a predetermined stop level, the control device 3 stops the drive unit 412 of the pump 41. This completes the draining of wastewater by the pump 41. Subsequently, wastewater flowing in from the outside via the inlet pipe 43 is stored again in the storage tank 44, and when the water level rises, the control device 3 drives the drive unit 412 of the other pump 41. When the wastewater in the storage tank 44 is discharged and the water level falls below the stop level through a similar process by the other pump 41, the control device 3 stops the drive unit 412 of the other pump 41. This series of processes is repeated in the pump system device 4.

[0087] Figure 5 is a block diagram showing an example configuration of the control device 3, etc. The control device 3 comprises a device control unit 30, a storage unit 31, a communication unit 32, and an input / output unit 33.

[0088] The device 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 device control unit 30. The communication unit 32 is a communication interface that enables communication with the information processing device 1 via the network N. The device control unit 30 transmits operating information to the information processing device 1 via the communication unit 32.

[0089] The input / output unit 33 is an input / output interface connected to the drive unit 412 of the pump 41 of the pump system device 4, the water level gauges 42 and 46, and the drive unit 412. The device control unit 30 acquires a signal indicating the water level from the water level gauge 42 or water level gauge 46 via the input / output unit 33. The device control unit 30 outputs a drive control signal to the drive unit 412 of the pump 41 via the input / output unit 33. The device control unit 30 acquires the time when the control signal is output to the drive unit 412 as the operating time of the pump 41, accumulates the operating time of the pump 41 per hour, and stores it in the storage unit 11 as operating information. The device control unit 30 also transmits the operating information stored in the storage unit 11 periodically or sequentially to the information processing device 1. Alternatively, the device control unit 30 may transmit the operating time of the pump 41 each time it is operated to the information processing device 1, and the control unit 10 of the information processing device 1 may accumulate the operating time of the pump 41 per hour.

[0090] Figure 6 is an explanatory diagram showing an example of the operation information table 112. The operation information table 112 sequentially records the operating time of the pump 41 per hour at each time point. The management items (fields) of the operation information table 112 include a year field, month field, day field, day of the week field, time field, and operating time field. The year field, month field, day field, and day of the week field store the year, month, day, and day of the week on which the operating time of the pump 41 was recorded. The time field stores the time (hour) on which the operating time of the pump 41 was recorded. The operating time field stores the operating time of the pump 41 per hour. The operating time field also stores the time (seconds) that the pump 41 operated during the hour of the time stored in the time field. For example, if the time stored in the time field is in the 1 o'clock hour, the operating time field stores the time that the pump 41 operated from 1:00 to 1:59 (until 2:00). The control unit 10 of the information processing device 1 acquires the operating time of the pump 41 from the control device 3, for example every hour, and adds a record to the operation information table 112 to record the operating time of the pump 41. Alternatively, the control unit 10 may acquire the operating time of the pump 41 per hour from the control device 3 periodically, for example, once a day, once a week, or once a month, and record it in the operation information table 112. Furthermore, the control unit 10 may acquire the operating time of the pump 41 per hour from the control device 3 and record it in the operation information table 112 when a user at the terminal 2 gives input instructing the acquisition of operation information.

[0091] Figure 7 is an explanatory diagram showing the first statistical data and the graph of the first statistical data. In the example shown in Figure 7, the first statistical data includes the operating time per hour of the pump 41 for one week, with the first time axis using days of the week as the unit and the second time axis using time of day as the unit. That is, the first statistical data is generated based on the operating information (operating time per hour) of the pump 41 (equipment), using the first time axis (day of the week) and the second time axis (time of day), which has a different scale from the first time axis, as the basis. The units of the first and second time axes may be minutes, hours (time of day), days (date), days of the week, months, or years. In this example, the first statistical data is shown for the period from August 8, 2021 to August 14, 2021. The control unit 10 of the information processing device 1 reads the record containing the operating time of the pump 41 from August 8, 2021 to August 14, 2021 from the operating information table and generates the first statistical data. In this case, the day of the week field is assigned to the first time axis of the first statistical data graph, and the time field is assigned to the second time axis of the first statistical data graph. In addition, the driving time field is assigned to a third axis that is orthogonal to the first and second time axes of the first statistical data.

[0092] The control unit 10 of the information processing device 1 creates a first statistical data graph by plotting the operating time of the pump 41 at a point in time (grid time) specified by the unit of the first time axis (day of the week) and the unit of the second time axis (time of day). For example, at a grid time of Sunday on the first time axis and 0:00 on the second time axis, the third axis (operating time) is plotted to be 230 seconds. The control unit 10 plots at each grid time and creates the first statistical data graph. The first statistical data graph shows the distribution of operating time over a week.

[0093] Figure 8 is an explanatory diagram showing the second statistical data and the graph of the second statistical data. The second statistical data is data in which the units of the first and second time axes are the same as those of the first statistical data, and the average value of the operating time for each day of the week and each time during a predetermined period is assigned to the third axis. In other words, the second statistical data is generated based on the average of the first statistical data group, which includes the first statistical data for each week during a predetermined period. In this example, the second statistical data is generated based on the average of the first statistical data group for the four months from April 2021 to July 2021. The control unit 10 of the information processing device 1 reads the records containing the operating time of the pump 41 from the operating information table 112 for April 2021 to July 2021, and sets the average value of the values ​​stored in the operating time field of records with common days of the week and times as the average operating time (third axis) for that day of the week and time. Note that the second statistical data may also be generated based on representative values ​​such as the median or mode at each grid point in the first statistical data group.

[0094] The control unit 10 of the information processing device 1 creates a second statistical data graph by plotting the average operating time of the pump 41 at a point in time (grid time) specified by the unit of the first time axis (day of the week) and the unit of the second time axis (time of day). For example, at a grid time of Sunday on the first time axis and 0:00 on the second time axis, the third axis (average operating time) is plotted to be 316 seconds. The control unit 10 plots at each grid time and creates the second statistical data graph. The second statistical data graph shows the average of the first statistical data group for each day of the week and time of day over a predetermined period.

[0095] Figure 9 is an explanatory diagram showing the third statistical data and the graph of the third statistical data. The third statistical data is data in which the units of the first time axis and the second time axis are the same as those of the first statistical data, and the difference between the operating time in the first statistical data and the average operating time in the second statistical data (difference operating time) at each grid point is assigned to the third axis. In other words, the third statistical data is generated based on the difference between the first statistical data and the second statistical data. The control unit 10 of the information processing device 1 processes the first time axis from the first statistical data and the second statistical data. Each record is read using the (day of the week) and the second time axis (time) as keys. For records where the day of the week and time match, the average operating time of the second statistical data is subtracted from the operating time of the first statistical data to calculate the difference operating time (third axis) at each grid point in the third statistical data. If the value obtained by subtracting the average operating time of the second statistical data from the operating time of the first statistical data is a negative number, the difference operating time is set to 0.

[0096] The control unit 10 of the information processing device 1 creates a second statistical data graph by plotting the differential operating time of the pump 41 at a point in time (grid time) specified by the unit of the first time axis (day of the week) and the unit of the second time axis (time of day). For example, at a grid time of Monday on the first time axis and 0:00 on the second time axis, the third axis (differential operating time) is plotted to be 41 seconds. The control unit 10 plots at each grid time to create a third statistical data graph. The third statistical data graph shows the difference between the first statistical data and the second statistical data for each day of the week and time of day during the target period.

[0097] Figure 10 is an explanatory diagram showing the fourth statistical data and the graph of the fourth statistical data. The fourth statistical data has the same units for the first and second time axes as the first statistical data, and the third axis is allocated with the hourly precipitation amount in the area where the pump system device 4 is installed. In other words, the fourth statistical data is generated based on the precipitation amount in the area where the pump system device 4 is installed. The control unit 10 of the information processing device 1 obtains the precipitation amount for each time point observed, for example, at an AMeDAS (registered trademark) station near the pump system device 4, for the target period in the first statistical data from the weather server 5 and assigns it to the third axis (precipitation amount) of the fourth statistical data. The control unit 10 may also obtain the precipitation amount by reading it from a recording medium in which the history of precipitation is recorded.

[0098] The control unit 10 of the information processing device 1 creates a second statistical data graph by plotting the amount of rainfall in the area where the pump system device 4 is installed at a point in time (grid time) specified by the unit of the first time axis (day of the week) and the unit of the second time axis (time of day). For example, at a grid time of Thursday on the first time axis and 10 o'clock on the second time axis, the third axis (rainfall) is plotted to be 34 mm / h. The control unit 10 plots at each grid time and creates a fourth statistical data graph. The fourth statistical data graph shows the amount of rainfall in the area where the pump system device 4 is installed for each day of the week and time of day during the target period. The amount of rainfall in the fourth statistical data graph may be the value obtained from the weather server 5 as is, or in the case of small amounts of rain (for example, rainfall of 5 mm / h or less or 10 mm / h or less), the rainfall may not be counted (rainfall may be set to 0 mm).

[0099] The control unit 10 of the information processing device 1 calculates the correlation coefficient (first correlation coefficient) between the operating time at each grid point of the first statistical data and the average operating time at each grid point of the second statistical data, the correlation coefficient (second correlation coefficient) between the differential operating time at each grid point of the third statistical data and the precipitation at each grid point of the fourth statistical data, and the average ratio of the differential operating time at each grid point of the third statistical data to the average value of the average operating time at each grid point of the second statistical data (operating time increase ratio). Based on the calculated first correlation coefficient, second correlation coefficient, and operating time increase ratio, the control unit 10 of the information processing device 1 refers to the status determination table 113 (see Figure 11) to identify advice codes associated with information regarding the status of the pump system device 4 (status information) and warning information (see Figure 12).

[0100] The method for calculating the first correlation coefficient is described below. The first correlation coefficient is the correlation coefficient between the operating time for each day and time (each grid point) in a specific week and the average operating time for each day and time (each grid point) over a predetermined period. Let w (wi) be the operating time for each grid point included in the first statistical data, and x (xi) be the average operating time for each grid point included in the second statistical data. Here, i is the number of each grid point. Each grid point is assigned a number in chronological order. In this embodiment, since the first time axis is the day of the week and the second time axis is the time, there are 168 grid points. For example, the grid point number for Sunday at 0:00 is 1, the grid point number for Sunday at 23:00 is 24, and the grid point number for Monday at 0:00 is 25. Also, the grid point number for Saturday at 23:00 is 168. Note that the grid point numbers in the first statistical data and the second statistical data correspond. The data that corresponds wi and xi for the same grid point in the first statistical data and the second statistical data is defined as variable data (wi, xi). In other words, the total number of variable data (wi, xi) n is 168. The first correlation coefficient is the value obtained by dividing the covariance of the variable data by the standard deviation of w and the standard deviation of x. That is, the first correlation coefficient is given by the following equation 1. In the following equation, wa represents the mean of all wi values, and xa represents the mean of all xi values.

[0101]

number

[0102] The method for calculating the second correlation coefficient is described below. The second correlation coefficient is the correlation coefficient between the difference in operating time at each grid point in a specific week and the amount of precipitation. Let y(yi) be the difference in operating time at each grid point included in the third statistical data, and let z(zi) be the amount of precipitation at each grid point included in the fourth statistical data. Note that the grid point numbers in the third and fourth statistical data correspond to each other. Let the data where yi and zi for the same grid point in the third and fourth statistical data correspond be the variable data (yi,zi). The second correlation coefficient is the value obtained by dividing the covariance of the variable data by the standard deviation of y and the standard deviation of z. That is, the second correlation coefficient is given by the following equation 2. Note that in the following equation, ya represents the mean value of all yi, and za represents the mean value of all zi. Note that the control unit 10 of the information processing device 1 may calculate the second correlation coefficient based on the variable data at grid points where the amount of precipitation is greater than or equal to a predetermined amount.

[0103]

number

[0104] The method for calculating the operating time increase ratio is described below. The operating time increase ratio is the average of the ratios of the difference operating time at each grid point in the third statistical data to the average of the average operating time at each grid point in the second statistical data. The operating time increase ratio is given by the following equation 3 for the variable data (xa, yi). Note that the control unit 10 of the information processing device 1 may calculate the operating time increase ratio based on the variable data at grid points where the precipitation is above a predetermined amount in the fourth statistical data.

[0105]

number

[0106] Figure 11 is an explanatory diagram showing an example of a status determination table 113. The management items (fields) of the status determination table 113 include a first correlation coefficient field, a second correlation coefficient field, an operating time increase ratio field, and an advice code field. The first correlation coefficient field stores a range of values ​​for the first correlation coefficient to identify an advice code. In this embodiment, the first correlation coefficient is classified into two cases: when it is 0.6 or greater and when it is less than 0.6. The second correlation coefficient field stores a range of values ​​for the second correlation coefficient to identify an advice code. In this embodiment, the second correlation coefficient is classified into three cases: when it is 0.6 or greater, when it is 0.3 or greater and less than 0.6, and when it is less than 0.3. The operating time increase ratio field stores a range of values ​​for the operating time increase ratio to identify an advice code. In this embodiment, the operating time increase ratio is classified into two cases: when it is 0.5 or greater and when it is less than 0.5. The advice code field stores an advice code that is specified for the first correlation coefficient, the second correlation coefficient, and the operating time increase ratio. The advice code is linked to information about the status of the pump system device 4 (status information) and warning information stored in the status information table 114 (see Figure 12). The control unit 10 uses the identified advice code as a key to refer to the status information table 114 and identify the status information and warning information. Specifically, the status information is identified based on the first correlation coefficient, the second correlation coefficient, and the operating time increase ratio, while the warning information is identified based on the status information.

[0107] Figure 12 is an explanatory diagram showing an example of a status information table 114. The management items (fields) of the status information table 114 include an advice code field, a status information field, and a caution information field. The advice code field stores an advice code identified by referring to the status determination table 113. The status information field stores information (status information) about the status of the pump system device 4. The status information includes, for example, the difference between the average operating time and the operating time, the correlation between the increase in operating time and the amount of rainfall, the extent to which the operating time is longer than the average operating time, and information about the possibility of infiltration water flowing into the pump system device 4 due to rainfall. Note that the status information table 114 may also record information about the pump 41. The caution information field stores information or instructions for resolving abnormal conditions for the pump system device 4, i.e., information related to troubleshooting. Information stored in the caution information includes, for example, instructions to check the damage status of the inlet pipe 43 connected to the pump system device 4, or instructions to check the connection of the inlet pipe 43 or the rainwater pipeline connected to the pump system device 4. In other words, the control unit 10 of the information processing device 1 refers to the state determination table 113 and the state information table 114 and outputs state information including information about infiltrating water flowing into the pump system device due to rainfall, and warning information based on the state information, based on the first correlation coefficient (correlation between the first statistical data and the second statistical data), the second correlation coefficient (correlation between the third statistical data and the fourth statistical data), and the operating time increase ratio based on the second statistical data and the third statistical data. The control unit 10 may output state information based only on the third statistical data instead of the operating time increase ratio calculated based on the third statistical data and the second statistical data.

[0108] Figure 13 is an explanatory diagram showing an example of an analysis instruction screen. The terminal control unit 20 of terminal 2 displays the analysis instruction screen on the display unit 23. The terminal control unit 20 transmits an analysis instruction for the period entered on the analysis instruction screen to the information processing device 1. Upon receiving the analysis instruction, the information processing device 1 generates various statistical data and identifies status information and warning information for the entered period, and outputs the generated statistical data and identified status information and warning information to terminal 2.

[0109] The analysis instruction screen displays a period unit input field 231 for entering the unit of the period for which the analysis is to be instructed, a period input field 232 for entering the period for which the analysis is to be instructed, a first time axis field 233 for entering the unit of the first time axis, and a second time axis field 234. In this embodiment, terminal 2 can accept input of analysis instructions for multiple periods. In the screen shown in Figure 13, input of analysis instructions for three periods (analysis periods 1 to 3) is accepted. The user can, for example, input instructions for generating multiple types of statistical data in units of arbitrary weeks, months, and years, and for outputting status information and warning information. The user can input into each input field using the operation unit 24. In addition, an analysis start button is displayed on the analysis instruction screen. When the analysis start button 235 is clicked, the terminal control unit 20 of terminal 2 sends (outputs) an analysis instruction for the input period to the information processing device 1.

[0110] Figure 14 is an explanatory diagram showing an example of the analysis results display screen. The analysis instruction is received from terminal 2. The control unit 10 of the information processing device 1 (which has acquired the data) generates various statistical data and identifies status information and warning information for each input period, and transmits (outputs) the generated statistical data and identified status information and warning information to terminal 2. The terminal control unit 20 of terminal 2 displays the graphs of the received statistical data, status information, and warning information on the display unit 23. The analysis instruction screen includes a statistical data graph display area 236 and an information display area 237.

[0111] In the example shown in Figure 14, the statistical data graph display area 236 displays graphs of various statistical data with a period of one week (Analysis Result 1), various statistical data with a period of one month (Analysis Result 2), and various statistical data with a period of one year (Analysis Result 3). In Analysis Result 1, the first time axis is the day of the week, and the second time axis is the time of day. In Analysis Result 2, the first time axis is the day (date), and the second time axis is the time of day. In Analysis Result 3, the first time axis is the day (date), and the second time axis is the month. In the example shown in Figure 14, for Analysis Result 3, where the period of time is one year, the display of the second statistical data, third statistical data, status information, and caution information is omitted, but they may be displayed. Also, the first or second time axis in each analysis result is not limited to hours (time of day), days (date), days of the week, or months, but may also be minutes or years, etc. In this embodiment, the graphs of various statistical data are shown as wireframe graphs, but are not limited to these; they may also be shown as bar graphs or heatmap graphs, etc.

[0112] In the example shown in Figure 14, the analysis instruction screen includes a weekly information display section 237 and a monthly information display section 237. The weekly information display section 237 displays status information and cautionary information related to analysis result 1, for which the analysis period is weekly. The monthly information display section 237 displays status information and cautionary information related to analysis result 2, for which the analysis period is monthly.

[0113] Figure 15 is a flowchart illustrating an example of processing by the information processing device 1 and terminal 2 according to Embodiment 1. The terminal control unit 20 of terminal 2 displays an analysis instruction screen on the display unit 23 (S1). The terminal control unit 20 receives input for the period to be analyzed on the operation unit 24 (S2). The terminal control unit 20 sends (outputs) an analysis instruction for the input period to the information processing device 1 (S3). The control unit 10 of the information processing device 1 receives (acquires) the analysis instruction from terminal 2 (S4). The control unit 10 executes the analysis process (S5).

[0114] Figure 16 is a flowchart showing an example of the analysis process of the information processing device according to Embodiment 1. The control unit 10 of the information processing device 1 generates various statistical data (first statistical data, second statistical data, third statistical data, and fourth statistical data) for the input period (S501). The control unit 10 creates a graph of the various statistical data (S502). The control unit 10 calculates the first correlation coefficient based on the first statistical data and the second statistical data (S503). The control unit 10 calculates the second correlation coefficient based on the third statistical data and the fourth statistical data (S504). The control unit 10 calculates the operating time increase ratio based on the second statistical data and the third statistical data (S505). The control unit 10 refers to the state determination table 113 and identifies an advice code based on the first correlation coefficient, the second correlation coefficient, and the operating time increase ratio (S506). The control unit 10 refers to the status information table 114 and, based on the advice code identified in S506, identifies the status information and warning information to be output to terminal 2 (S507).

[0115] The following explanation will refer back to Figure 15. The control unit 10 of the information processing device 1 transmits (outputs) graphs of various statistical data created in the analysis process, as well as identified status information and warning information to terminal 2 (S6), and terminates the process. The terminal control unit 20 of terminal 2 receives (acquires) graphs of various statistical data, status information, and warning information (S7). The terminal control unit 20 displays the received graphs of various statistical data, status information, and warning information on the display unit 23 (S8), and terminates the process. The control unit 10 of the information processing device 1 may also transmit various statistical data, the first correlation coefficient, the second correlation coefficient, or the operating time increase ratio to terminal 2, and the terminal control unit 20 of terminal 2 may display the received various statistical data, the first correlation coefficient, the second correlation coefficient, or the operating time increase ratio on the display unit 23.

[0116] With the above configuration and processing, it is possible to output information regarding the status of the equipment (pump system device 4) with high accuracy based on the operating time per unit time of the pump 41 provided in the pump system device 4 and the amount of rainfall in the area where the pump system device 4 is installed. The control unit 10 of the information processing device 1 may identify at least one of the following based on at least one of the first correlation coefficient and the second correlation coefficient: the access code, information regarding the status of the pump system device 4 (status information), and warning information.

[0117] (Embodiment 2) The information processing device 1 according to Embodiment 2 identifies an advice code using a learning model. Below, the differences between Embodiment 2 and Embodiment 1 will be explained. Except for the configuration described later, the other configurations are the same as those of Embodiment 1. For this reason, the same reference numerals are used for the components that are common to Embodiment 1, and the description of those components is omitted.

[0118] Figure 17 is a block diagram showing an example configuration of the information processing device 1 according to Embodiment 2. The storage unit 11 of the information processing device 1 according to Embodiment 2 stores a learning model 115. The learning model 115 is a model that outputs the probability of outputting each advice code recorded in the status information table 114 when the first correlation coefficient, the second correlation coefficient, and the operating time increase ratio are input. The control unit 10 of the information processing device 1 outputs information regarding the status of the pump system device 4 (status information) and warning information by referring to the status information table 114 based on the advice code with the highest probability output by the learning model 115.

[0119] Figure 18 is an explanatory diagram showing an example of a learning model 115. The learning model 115 is generated by machine learning, for example, using a neural network. However, machine learning may be performed using methods other than neural networks. For example, various machine learning methods such as LSTM (Long Short-Term Memory), Transformer, SVM (Support Vector Machine), decision trees, or k-nearest neighbors can be employed.

[0120] The input layer in the learning model 115 has multiple neurons that accept input data including the first correlation coefficient, the second correlation coefficient, and the driving time increase ratio, and passes the input data to the hidden layer. The hidden layer has multiple neurons that extract features from the input data and passes the extracted features to the output layer. The output layer has neurons that output the accuracy of each advice code, and outputs the accuracy of each advice code based on the features output from the hidden layer. The input data may include at least two of the first correlation coefficient, the second correlation coefficient, or the driving time increase ratio. The input data may also include first statistical data, second statistical data, third statistical data, or fourth statistical data.

[0121] The control unit 10 of the information processing device 1 identifies the status information and warning information by referring to the status information table 114 based on the advice code with the highest accuracy output by the learning model 115. In the example shown in Figure 18, since the advice code AC001 has the highest accuracy, the control unit 10 reads the record in the advice code field of the status information table 114 in which AC001 is stored, and identifies the status information and warning information.

[0122] The learning model 115 according to this embodiment is trained using training data that associates input data, including a first correlation coefficient, a second correlation coefficient, and an increase ratio of operating time, with labels indicating the accuracy of each advice code. For example, if the control unit 10 of the information processing device 1 should identify advice code AC001 for the input data, it inputs training data created by associating the input data with labels indicating an accuracy of 1 for advice code AC001 and an accuracy of 0 for other advice codes, into the learning model 115, and trains the learning model 115. The learning model 115 is trained by adjusting the bias in each layer and the weights between each layer so that it outputs an accuracy equal to the label. Note that the learning model 115 may be trained by a computer other than the information processing device 1.

[0123] Figure 19 is a flowchart showing an example of the analysis process of the information processing device according to Embodiment 2. Steps S511 to S515 are the same as steps S501 to S505 in Figure 16. The control unit 10 of the information processing device 1 inputs the first correlation coefficient, the second correlation coefficient, and the operating time increase ratio to the learning model 115 (S516) and outputs the accuracy of each advice code (S517). The control unit 10 identifies the advice code with the highest accuracy (S518). Based on the advice code identified in S518, the control unit 10 refers to the status information table 114 to identify status information and warning information (S519). The other processing steps of the information processing device 1 and terminal 2 in the analysis process are the same as those shown in Figure 15.

[0124] In Embodiment 2, the learning model 115 was input with a first correlation coefficient, a second correlation coefficient, and a ratio of increase in operating time, but is not limited to these. The learning model 115 may be, for example, a Convolutional Neural Network (CNN) or a Vision Transformer, or any other model that performs feature extraction from images. In this case, the control unit 10 of the information processing device 1 may input images of graphs of various statistical data to the learning model 115 and output the accuracy of each advice code. Alternatively, the learning model 115 may be input with a heatmap diagram, which is a two-dimensional graph represented by a first time axis and a second time axis, where the graphs of various statistical data are projected from above and color-coded according to operating time or precipitation, in which information on operating time or precipitation is represented by color.

[0125] (Embodiment 3) The information processing device 1 according to Embodiment 3 analyzes the pumps 41 of a plurality of pump system devices 4 and outputs information regarding locations where infiltrating water is suspected to be flowing into the inlet pipe 43, based on the analysis results. Below, the differences between Embodiment 3 and Embodiment 1 will be explained. Except for the configuration described later, the other configurations are the same as those in Embodiment 1. For this reason, the same reference numerals are used for the components that are common to Embodiment 1, and the explanation of those components is omitted. In addition, in this embodiment, the case where the pump system device 4 is a manhole device installed in a manhole is given as an example, and the following description and each manhole device in Figures 20 to 27 represent each pump system device.

[0126] Figure 20 is a schematic diagram showing an example configuration of the information processing system 100 according to Embodiment 3. The information processing system 100 according to Embodiment 3 includes a plurality of manhole devices (pump system devices) 4 (4a to 4f). In this embodiment, the number of manhole devices 4 is 6, but it may be 2 to 5 or 7 or more. Each manhole device 4 is installed, for example, in the middle of a wastewater pipeline 6 that carries wastewater to a wastewater treatment facility. The wastewater pipeline 6 branches into multiple systems, and in each system, the manhole device 4 furthest from the wastewater treatment facility is the upstream manhole device, and the manhole device 4 closest to the wastewater treatment facility is the downstream manhole device 4. That is, in each system, the plurality of manhole devices 4 are connected in series via the wastewater pipeline 6, and wastewater flows from upstream to downstream. In addition, the inlet pipe 43 connected to any manhole device 4 is connected to the discharge pipe of a manhole device 4 located one upstream from that manhole device 4. Furthermore, the inlet pipe 43 connected to any manhole device 4 and the discharge pipe 45 of the manhole device 4 located one upstream of the said manhole device 4 may be made of the same pipe.

[0127] The information processing device 1 according to Embodiment 3 determines, when it is determined that infiltrating water is flowing into a manhole device 4, whether or not infiltrating water is also flowing into other manhole devices 4 located upstream of the said manhole device 4. Based on the determination results (information regarding infiltrating water) for each manhole device 4, the information processing device 1 estimates the location where the infiltrating water is occurring and outputs the estimated information regarding the location of the infiltrating water to the terminal 2.

[0128] Figure 21 is a block diagram showing an example configuration of the information processing device 1 according to Embodiment 3. The storage unit 11 of the information processing device 1 according to Embodiment 3 stores a system table 116. Details of the system table 116 will be described later.

[0129] Figure 22 is an explanatory diagram showing an example of an operation information table 112 according to Embodiment 3. The management items (fields) of the operation information table 112 according to Embodiment 3 include a plurality of operation time fields (operation time (4a) to operation time (4f)). Each operation time field stores the operating time of the pump 41 provided by each manhole device 4 for the year, month, day and time. For example, the operation time (4a) field stores the hourly operating time of the pump 41 provided by manhole device 4a, and the operation time (4f) field stores the hourly operating time of the pump 41 provided by manhole device 4f.

[0130] Figure 23 is an explanatory diagram showing an example of a system table 116. The management items (fields) of the system table 116 include a system name field and multiple manhole device fields. The system name field stores the system name of each system of the sewage pipeline 6. The manhole device field stores the number (code) of the manhole device 4 included in each system. The multiple manhole device fields store the numbers of the manhole devices 4 in the order in which the sewage flows in each system, from left to right as shown in Figure 23. That is, the leftmost manhole device field stores the number of the upstream manhole device 4, and the rightmost manhole device field stores the number of the downstream manhole device 4.

[0131] Figure 24 is an explanatory diagram showing an example of an analysis instruction screen according to Embodiment 3. The analysis instruction screen according to Embodiment 3 displays an analysis target input field 238 for inputting the manhole device 4 to be analyzed. The user can input the number of the manhole device 4 that is the target of analysis (generation of various statistical data, output of information regarding the state of the manhole device 4 (state information) and warning information) into the analysis target input field 238. When the terminal control unit 20 of terminal 2 sends an analysis instruction to the information processing device 1, it also sends (outputs) the number of the manhole device 4 entered in the analysis target input field 238. In this embodiment, the following explanation will be given for the case where manhole device 4f is entered in the analysis target input field 238.

[0132] When the control unit 10 of the information processing device 1 receives an analysis instruction from the terminal 2, it performs the following operations for the manhole device 4f entered in the analysis target input field 238, similar to Embodiment 1: generating various statistical data, creating graphs of the various statistical data, calculating the first correlation coefficient, the second correlation coefficient, and the operating time increase ratio, and identifying information regarding the status of the manhole device 4f and warning information. When generating the first and second statistical data, the control unit 10 reads the operating time of the pump 41 of the manhole device 4f stored in the operating time (4f) field of the operating information table 112.

[0133] Furthermore, the control unit 10 of the information processing device 1 determines whether or not there is inflow of infiltrating water into the manhole device 4f based on the first correlation coefficient and the second correlation coefficient. For example, if the first correlation coefficient is less than 0.6 and the second correlation coefficient is 0.3 or greater, the control unit 10 determines that there is inflow of infiltrating water into the manhole device 4f, and otherwise determines that there is no inflow of infiltrating water.

[0134] If the control unit 10 of the information processing device 1 determines that there is water infiltration into manhole device 4f, it refers to the system table 116 and determines whether there is water infiltration into manhole devices 4 located upstream of manhole device 4f in the system that includes manhole device 4f. In this embodiment, the control unit 10 determines whether there is water infiltration into manhole devices 4a to 4e located upstream of manhole device 4f. The control unit 10 reads the operating time of each manhole device 4 from the operation information table 112 and generates various statistical data for each manhole device 4. The control unit 10 also calculates a first correlation coefficient and a second correlation coefficient based on the various statistical data for each manhole device 4, and determines whether there is water infiltration into each manhole device 4 based on the calculated first and second correlation coefficients. Based on the determination results for each manhole device 4, the control unit 10 estimates the location of water infiltration in the sewage pipeline 6 and transmits (outputs) the estimation result to terminal 2.

[0135] Figure 25 is an explanatory diagram showing an example of the estimation result display screen. The terminal control unit 20 of terminal 2 displays the analysis result screen shown in Figure 14 on the display unit 23, and then displays the estimation result screen. The analysis result display screen and the estimation result display screen may be switchable on the display unit 23. The estimation result display screen displays a judgment result display field 239 which includes the judgment result of whether or not water has entered each manhole device 4, a list 23A of primary and secondary candidates for locations where water infiltration is estimated to be occurring in the sewage pipeline 6, and a schematic diagram 23B which shows the system of the sewage pipeline 6 and the connection relationship of the manhole device 4. The schematic diagram 23B displays the locations that are primary and secondary candidates. In the example shown in Figure 25, the locations on the sewage pipeline 6 that are primary candidates are enclosed by solid lines, and the locations on the sewage pipeline 6 that are secondary candidates are enclosed by dashed lines.

[0136] For example, if the control unit 10 of the information processing device 1 determines that there is infiltration in another manhole device 4 upstream in the system that includes the manhole device 4 being analyzed, it designates the wastewater pipeline 6 upstream of the manhole device 4 that is the furthest upstream of the manhole device 4 that was determined to have infiltration as the primary candidate for the location where the infiltration is occurring, and the wastewater pipeline 6 connected upstream of the manhole device 4 being analyzed in the system that includes the primary candidate as a secondary candidate. In the example shown in Figure 25, the control unit 10 determines that there is infiltration in manhole device 4b and no infiltration in manhole device 4a, so it designates the wastewater pipeline 6 between manhole device 4a and manhole device 4b as the primary candidate, and the wastewater pipeline 6 between manhole device 4b and manhole device 4f as a secondary candidate. The control unit 10 also designates the wastewater pipeline 6 between the manhole device 4 being analyzed and the manhole device 4 located one level upstream of it that was determined to have no infiltration as a secondary candidate. In the example shown in Figure 25, the control unit 10 determined that there was no infiltration of water in manhole devices 4d and 4e, and therefore designated the sewage pipeline 6 between manhole device 4d and manhole device 4f and the sewage pipeline 6 between manhole device 4e and manhole device 4f as secondary candidates. If there is no sewage pipeline 6 that meets the conditions for the primary candidate, a sewage pipeline 6 that meets the conditions for the secondary candidate may be designated as the primary candidate.

[0137] Figure 26 is a flowchart showing an example of the processing of the information processing device 1 and terminal 2 in Embodiment 3. The terminal control unit 20 of terminal 2 displays an analysis instruction screen on the display unit 23 (S11). The terminal control unit 20 receives input of the period to be analyzed and the manhole device 4 to be analyzed on the operation unit 24 (S12). The terminal control unit 20 transmits (outputs) an analysis instruction for the input period and the target of analysis to the information processing device 1 (S13). The control unit 10 of the information processing device 1 receives (acquires) the analysis instruction from terminal 2 (S14). The control unit 10 executes the analysis process for the manhole device 4 that was input as the target of analysis (S15).

[0138] Figure 27 is a flowchart showing an example of the analysis process of the information processing device according to Embodiment 3. The control unit 10 of the information processing device 1 generates various statistical data (first statistical data, second statistical data, third statistical data, and fourth statistical data) for the input period of the manhole device 4 that is the subject of analysis (S1501). The control unit 10 creates a graph of the various statistical data (S1502). The control unit 10 calculates the first correlation coefficient based on the first statistical data and the second statistical data (S1503). The control unit 10 calculates the second correlation coefficient based on the third statistical data and the fourth statistical data (S1504). The control unit 10 calculates the operating time increase ratio based on the second statistical data and the third statistical data (S1505). The control unit 10 determines whether or not there is an inflow of infiltrating water into the manhole device 4 that is the subject of analysis, based on the first correlation coefficient and the second correlation coefficient (S1506). In S1506, the control unit 10 determines that there is inflow of infiltrating water (infiltrating water present) if, for example, the first correlation coefficient is less than 0.6 and the second correlation coefficient is 0.3 or greater, and determines that there is no inflow of infiltrating water (no infiltrating water) otherwise. If the control unit 10 determines that there is no infiltrating water (S1506: NO), it proceeds to S1511.

[0139] If the control unit 10 determines that there is infiltration (S1506: YES), it refers to the system table 116 and the operation information table 112 and generates various statistical data for each manhole device 4 located upstream of the manhole device 4 that was analyzed (S1507). In S1508, the control unit 10 calculates the first correlation coefficient and the second correlation coefficient for each manhole device 4 for which various statistical data has been generated (S1508). The control unit 10 determines whether or not there is infiltration for each manhole device 4 (S1509). Based on the determination result in S1509, the control unit 10 estimates the primary and secondary candidates for the location where infiltration is occurring in the sewage pipeline 6 (S1510) and proceeds to S1511.

[0140] The control unit 10 refers to the status determination table 113 and identifies an advice code based on the first correlation coefficient, second correlation coefficient, and operating time increase ratio of the manhole device 4 that was analyzed (S1511). The control unit 10 refers to the status information table 114 and identifies status information and warning information to be output to the terminal 2 based on the advice code identified in S1511 (S1512).

[0141] The following explanation will refer back to Figure 26. The control unit 10 of the information processing device 1 transmits (outputs) graphs of various statistical data created in the analysis process, identified status information and warning information, the determination results of whether or not infiltrating water is flowing into each manhole device 4, and the primary and secondary candidates for locations where infiltrating water is occurring in the sewage pipeline 6 (S16), and then terminates the process. The terminal control unit 20 of terminal 2 receives graphs of various statistical data, status information, warning information, the determination results of whether or not infiltrating water is flowing into each manhole device 4, and the primary and secondary candidates for locations where infiltrating water is occurring in the sewage pipeline 6 (S17). The terminal control unit 20 of terminal 2 displays the graphs of various statistical data, status information, and warning information on the display unit 23 on the analysis result display screen (S18). The terminal control unit 20 of terminal 2 displays the results of the determination of whether or not infiltration water is flowing into each manhole device 4, and the primary and secondary candidates for the location where infiltration water is occurring in the sewage pipeline 6, on the display unit 23 on the estimation result display screen (S19), and then terminates the process. The terminal control unit 20 of terminal 2 may also display various statistical data on the status of each manhole device 4 on the display unit 23. In addition, the control unit 10 of the information processing device 1 may identify each status information and warning information, and the terminal control unit 20 of terminal 2 may display each status information and warning information on the display unit 23.

[0142] (Embodiment 4) The information processing device 1 according to Embodiment 4 displays the locations where the pumps 41 of a plurality of pump system devices 4 are installed on a map, along with evaluation results such as the degree of impact of water infiltration on each pump 41. Below, the differences between Embodiment 4 and Embodiment 1 will be explained. Except for the configuration described later, the other configurations are the same as those of Embodiment 1. For this reason, the same reference numerals are used for the components that are common to Embodiment 1, and the explanation of those components is omitted.

[0143] Figure 28 is a block diagram showing an example configuration of the information processing device 1 according to Embodiment 4. The storage unit 11 of the information processing device 1 according to Embodiment 4 stores a pump location table 117. Details of the pump location table 117 will be described later. In addition, the information processing system 100 according to this embodiment includes a plurality of pump system devices 4, similar to the information processing system 100 according to Embodiment 3 (see Figure 20). The operation information table 112 according to this embodiment is the same as the operation information table 112 according to Embodiment 3 (see Figure 22).

[0144] Figure 29 is an explanatory diagram showing an example of a pump location table 117. The pump location table 117 stores the locations of multiple pump system devices 4. The management items (fields) of the pump location table 117 include a pump identification number field, a latitude field, a longitude field, an address field, and a facility name field. The pump identification number field stores a number (4a, 4b, 4c...) to identify each pump system device 4. The latitude field stores the latitude (north latitude) of the location of the pump system device 4. The longitude field stores the longitude (east longitude) of the location of the pump system device 4. The address field stores the address of the location of the pump system device 4. The facility name field stores the name of the facility (e.g., pumping station) where the pump system device 4 is installed.

[0145] Figure 30 is an explanatory diagram showing an example of a map display screen. The terminal control unit 20 of terminal 2 displays the analysis results screen shown in Figure 14 on the display unit 23, and then displays the map display screen on the display unit 23. On the map display screen, a map 2310 of the vicinity of the location of the analyzed pump system device 4, an increase rate display area 2311, and a list of pump system devices 2312 are displayed. In the example shown in Figure 30, icons (circles) indicating the location of each pump system device 4 are shown on the map 2310 based on the latitude and longitude of each pump system device 4 stored in the pump location table 117.

[0146] The icons displayed on map 2310 on the map display screen are shown in colors corresponding to the determination result of whether or not water has entered the pump system device 4. In other words, the location of the pump system device 4 is displayed on map 2310 in a display format corresponding to the determination result of whether or not water has entered (information on the state). For example, if the state information included in the analysis results of the pump system device 4 includes "high possibility of water ingress due to precipitation" (see Figure 12: advice codes AC001, AC002, AC007, AC008), the icon will be shown in a dark color. If the state information included in the analysis results of the pump system device 4 includes "possibility of water ingress due to precipitation" (see Figure 12: advice codes AC003, AC004, AC009, AC010), the icon will be shown in a medium-dark color. If the status information included in the analysis results of the pump system device 4 includes "low possibility of water infiltration due to precipitation" (see Figure 12: advice codes AC005, AC006, AC011, AC012), the icon will be shown in a medium-dark color. However, the color used for the icon is not limited to this. Furthermore, the display form of the icon is not limited to being distinguished by color; for example, it may be distinguished by shape, size, or pattern. Also, on map 2310, the status information of the pump system device 4 may be shown by text, numbers, or graphs.

[0147] In this embodiment, the determination result (information on the state) of whether or not water has entered the pump system device 4 is output by the same method as described in Embodiment 1, but is not limited to this. The determination result (information on the state) of whether or not water has entered the pump system device 4 may be output by a machine learning model. In this case, the machine learning model is composed of a model including a neural network, for example, and is trained with training data that associates time-series operating information of the pump 41 and rainfall over a predetermined period with the determination result of whether or not water has entered or an advice code (information on the state). When time-series operating information of the pump 41 and rainfall over a predetermined period are input to the machine learning model, it outputs the determination result of whether or not water has entered or an advice code (information on the state).

[0148] Furthermore, the map display screen displays an increase rate display field 2311 showing the increase rate during rainy weather for each pump 41 of the pump system device 4. The increase rate during rainy weather indicates, for example, the increase rate of the average hourly operating time during rainy weather in the most recent month compared to the average hourly operating time during sunny weather for the three months prior to the most recent month. The increase rate may also be calculated based on the number of operations per unit time or the discharge volume. In addition, the period for which the average hourly operating time during sunny weather, which is the basis for calculating the increase rate during rainy weather, is calculated is not limited to the three months prior to the most recent month. In the increase rate display field 2311, the identification number and facility name of the pump system device 4 are displayed from top to bottom in descending order of the increase rate during rainy weather. In addition, the month for which the increase rate is displayed in the increase rate display field may be selectable. In this case, the increase rate display field 2311 displays the increase rate of the hourly operating time during rainy weather in the selected month compared to the hourly operating time during sunny weather for the three months prior to the selected month. The control unit 10 of the information processing device 1 determines the weather (whether it was rainy or sunny) for each time period based on past weather data obtained from the weather server 5, and calculates the average operating time based on the determined weather. Specifically, the control unit 10 determines that it is sunny if the precipitation per hour is less than 10 mm, and that it is rainy if the precipitation is 10 mm or more. The threshold for determining the weather is not limited to 10 mm per hour. The information used to identify the pump system device 4 displayed in the growth rate display section 2311 is not limited to the identification number and facility name, but may include either the identification number or the facility name, or the address of the location.

[0149] Furthermore, the map display screen shows a list of pump system devices 2312. In the list of pump system devices 2312, pump system devices 4 located within a specific area (for example, a specific city or town) are displayed in order of their identification numbers.

[0150] When an icon displayed on 2310, or an identification number or facility name in the growth rate display field is selected on the map display screen, the terminal control unit 20 of terminal 2 displays a detailed display screen (see Figure 31) on the display unit 23.

[0151] Figure 31 is an explanatory diagram showing an example of the detailed display screen. The detailed display screen displays the identification number of the selected pump system device 4, the facility name, and the month in which the analysis was performed. The terminal control unit 20 of terminal 2 can accept the selection of the identification number of the pump system device 4, the facility name, or the month in which the analysis was performed to be displayed on the detailed display screen. The detailed display screen also displays the analysis results display field 2313, the precipitation information display field 2314, the discharge volume / precipitation graph 2315, the discharge volume distribution graph 2316, and the precipitation graph 2317.

[0152] The detailed display screen's analysis results display section 2313 shows the probability (impact) of water infiltration during rainy weather, the average discharge volume during sunny weather, the average discharge volume during rainy weather, and the increase rate during rainy weather. The probability (impact) of water infiltration during rainy weather is displayed according to the determination result of whether or not water is infiltrating the pump system device 4. For example, if the status information included in the analysis results of the pump system device 4 includes "high probability of water infiltration due to precipitation" (see Figure 12: advice codes AC001, AC002, AC007, AC008), the probability (impact) of water infiltration during rainy weather will be shown as "high". If the status information included in the analysis results of the pump system device 4 includes "possibility of water infiltration due to precipitation" (see Figure 12: advice codes AC003, AC004, AC009, AC010), the probability (impact) of water infiltration during rainy weather will be shown as "medium". If the status information included in the analysis results of the pump system device 4 includes "low possibility of water infiltration due to precipitation" (see Figure 12: advice codes AC005, AC006, AC011, AC012), the possibility (degree of impact) of water infiltration during rainy weather is indicated as "small". Note that the degree of impact of water infiltration during rainy weather may be subdivided into more levels than the three levels of large, medium, and small, such as 5 or 10 levels.

[0153] The average discharge volume during sunny days displayed in the analysis results display section 2313 of the detailed display screen is the value obtained by multiplying the hourly operating time during sunny days in the three months prior to the month in which the analysis was performed by a predetermined coefficient (the amount of water discharged by pump 41 per unit of operating time). The average discharge volume during rainy days displayed in the analysis results display section 2313 is the value obtained by multiplying the hourly operating time in the month in which the analysis was performed by a predetermined coefficient (the amount of water discharged by pump 41 per unit of operating time). Note that the average discharge volume during sunny days displayed in the analysis results display section 2313 may also be the average discharge volume during sunny days in a period other than the three months prior to the month in which the analysis was performed.

[0154] The precipitation information display section 2314 on the detailed display screen shows the total rainfall (cumulative) for the month that has been analyzed and obtained from the weather server 5, the date of the day with the heaviest daily rainfall within that month (maximum day), the amount of rainfall on that day, and the date and time with the heaviest hourly rainfall within that month (maximum hour), and the amount of rainfall at that time.

[0155] The discharge volume / precipitation graph 2315 on the detailed display screen shows the average hourly discharge volume and daily precipitation for pump 41 during the month in which the analysis was performed. In the discharge volume / precipitation graph 2315 shown in Figure 31, the horizontal axis represents the date, the first vertical axis (displayed on the left) represents the discharge volume, and the second vertical axis (displayed on the right) represents the precipitation. In the discharge volume / precipitation graph 2315 shown in Figure 31, the average hourly discharge volume is shown by a line graph, and the precipitation is shown by a bar graph.

[0156] The discharge volume distribution graph 2316 on the detailed display screen is shown by a first time axis with the date as the unit, a second time axis with the time as the unit, and a third axis showing the amount of water discharged by the pump 41 per hour. The control unit 10 of the information processing device 1 creates a discharge volume distribution graph 2316 that shows the amount of water discharged, calculated by multiplying the operating time for each time stored in the operating information table by a predetermined coefficient (the amount of water discharged by the pump 41 per unit of operating time).

[0157] The precipitation graph 2317 on the detailed display screen is shown using a first time axis based on the date, a second time axis based on the time of day, and a third axis showing the amount of precipitation per hour. The control unit 10 of the information processing device 1 also creates a precipitation graph 2317 showing the hourly precipitation for the month in which the analysis processing has been performed, based on the precipitation data obtained from the weather server 5. In other words, the precipitation graph 2317 is the same as the graph of the fourth statistical data related to the analysis result 2 (see Figure 14). Note that at least one of the following may be displayed on the detailed display screen: average discharge volume during clear weather, average discharge volume during rainy weather, discharge volume / precipitation graph 2315, discharge volume distribution graph 2316, and precipitation graph 2317.

[0158] Figure 32 shows the pump system device list screen. The pump system device list screen displays the identification number of each pump system device 4 and the probability of water intrusion during rainy weather associated with each pump system device 4. The pump system device list screen also shows alarm information, abnormality name, water level, water level graph, update date and time, update button, type of monitoring instrument (water level gauge), radio wave status of the control device 3 of the pump system device 4, and output voltage of the battery of the pump system device 4. On the pump system device list screen, for example, alarm information is displayed in warning colors such as red or yellow. In contrast, the probability of water intrusion during rainy weather is displayed in a single color, black. This prevents confusion between the display of alarm information and the display of the probability of water intrusion during rainy weather. Note that the colors used to display each piece of information on the pump system device list screen are not limited to those mentioned above. When the terminal control unit 20 of terminal 2 receives an input instruction to display the pump system device list screen, it obtains information related to each pump system device 4, including the probability of water intrusion during rainy weather, from the information processing device 1 and displays the pump system device list screen. The control unit 10 of the information processing device 1 transmits to the terminal 2 the possibility of water intrusion during rainy weather, based on the status information identified by the analysis process (see Figure 16) for each pump system device 4, in association with the identification number of the pump system device 4.

[0159] Figure 33 is an explanatory diagram showing an example of a map display screen according to a modified example of Embodiment 4. The map 2310 displayed on the map display screen according to the modified example of Embodiment 4 has a mesh (shading) superimposed on it, corresponding to the cumulative amount of precipitation (cumulative rainfall) for the month in which the analysis processing was performed. The mesh superimposed on the map display screen 2310 is, for example, darker in areas with higher cumulative rainfall. Furthermore, 2310 is divided into 1-kilometer squares, and a mesh of density corresponding to the cumulative rainfall in each division is applied. The mesh superimposed on 2310 may also be color-coded according to the cumulative rainfall. In other words, in the map display screen according to the modified example of Embodiment 4, the precipitation distribution is superimposed on the map.

[0160] In the modified map display screen of Embodiment 4, a function button (cumulative rainfall button) is displayed to toggle the display of the cumulative rainfall mesh. When the cumulative rainfall button is pressed, the display of the cumulative rainfall mesh is toggled. The map display screen when the cumulative rainfall mesh is not displayed is the same as the map display screen shown in Figure 30. The terminal control unit 20 of terminal 2 obtains precipitation information for each area of ​​the map 2310 to be displayed from the information processing device 1 or the weather server 5, and displays the mesh on the map 2310.

[0161] Figure 34 is a flowchart showing an example of processing by the information processing device 1 and terminal 2 according to Embodiment 4. The processing in S21 to S25 is the same as the processing in S11 to S15 shown in Figure 26. The control unit 10 of the information processing device 1 calculates the rainy-day increase rate for each pump system device 4 for the month of the specified period (S26). The control unit 10 reads the location of each pump system device 4 from the pump location table 117 (S27). The control unit 10 transmits graphs of various statistical data, status information, warning information, the determination result of whether or not there is infiltration water in each pump system device, the rainy-day increase rate, and the location to the terminal 2 (S28).

[0162] The terminal control unit 20 of terminal 2 receives graphs of various statistical data, status information, warning information, the determination result of whether or not water has entered each pump system device, the increase rate during rainy weather, and the location from the information processing device 1 (S29). The terminal control unit 20 displays the received graphs of various statistical data, status information, and warning information on the display unit 23 (S30). The terminal control unit 20 displays a map display screen on the display unit 23 that shows the increase rate during rainy weather and the location of each pump system device 4 (S31). The terminal control unit 20 displays a detailed display screen related to the pump system device 4 selected on the map display screen on the display unit 23 (S32), and terminates the process.

[0163] Figures 35 and 36 are flowcharts detailing the display process for the map display screen and the detailed display screen. The terminal control unit 20 of terminal 2 accepts the selection of the range of the map 2310 to be displayed on the map display screen and the month for which the analysis processing was performed (S41). The terminal control unit 20 transmits the selected range of the map 2310 and the month for which the analysis processing was performed to the information processing device 1 (S42).

[0164] The control unit 10 of the information processing device 1 receives the range of the selected map 2310 and the month in which the analysis was performed from the terminal 2 (S43). The control unit 10 reads the location of each pump system device 4 from the pump location table 117 (S44) and identifies the pump system devices 4 within the selected range (S45). The control unit 10 obtains the analysis results for the selected month for each pump system device within the selected range from a database that stores, for example, the results of past analysis processing (S46). The control unit 10 calculates the rainy weather increase rate based on the operating time per unit time (operating information) of each pump system device for the selected month (S47). The control unit 10 transmits the location of each pump system device 4 within the range, the result of the determination of whether or not there is infiltration water, and the rainy weather increase rate to the terminal 2 (S48).

[0165] The terminal control unit 20 receives from the information processing device 1 the location of the pump system devices 4 included in the range of the selected map 2310, the result of determining whether or not there is infiltration water for the selected month, and the rainy weather increase rate (S49). The terminal control unit 20 sorts the identification numbers of each pump system device in the order of the received rainy weather increase rates (S50). On the map display screen, the terminal control unit 20 displays the map 2310 showing icons indicating the location of the pump system devices 4, the rainy weather increase rate for each pump system device 4 (increase rate display field 2311), and a list of pump system devices 4 in the selected range (pump system device list 2312) (S51). The terminal control unit 20 determines whether the range of the displayed map 2310 or the selection of the month for which the analysis processing was performed has been changed (S52). If the range of the displayed map 2310 or the selection of the month for which the analysis processing was performed has been changed (S52: YES), the terminal control unit 20 returns the process to S42 and repeats the same process for the changed range or month. If the range of the displayed map 2310 or the selection of the month for which the analysis was performed has not been changed (S52:NO), the terminal control unit 20 proceeds to S53.

[0166] The terminal control unit 20 of terminal 2 accepts the selection of the icon for the pump system device 4 on the map 2310 or the identification information for the pump system device 4 in the growth rate display area 2311 on the map display screen (S53). The terminal control unit 20 of terminal 2 transmits the identification information (identification number) of the selected pump system device to the information processing device 1 (S54).

[0167] The control unit 10 of the information processing device 1 receives identification information (identification number) of the selected pump system device from terminal 2 (S55). Based on the operating time per unit time for the selected pump system device at each date and time, the control unit 10 calculates the discharge volume for each date and time, the discharge volume in sunny weather, and the discharge volume in rainy weather (S56). The control unit 10 obtains the precipitation amount for each date and time in the area where the pump system device is installed from the weather server 5 (S57). Based on the discharge volume and precipitation for each date and time, the control unit 10 creates a discharge volume / precipitation graph, a discharge volume graph, and a precipitation graph (S58). The control unit 10 transmits the discharge volume for each date and time, the discharge volume in sunny weather, the discharge volume in rainy weather, the precipitation for each date and time, the discharge volume / precipitation graph, the discharge volume graph, and the precipitation graph to terminal 2 (S59).

[0168] The terminal control unit 20 of terminal 2 receives the discharge water volume for each date and time, the discharge water volume during sunny days, the discharge water volume during rainy days, the precipitation for each date and time, a discharge water volume / precipitation graph, a discharge water volume graph, and a precipitation graph from the information processing device 1 (S60). The terminal control unit 20 displays, on the detailed display screen, the determination result of whether or not there is infiltration water, the discharge water volume during sunny days, the discharge water volume during rainy days, and an analysis result display field 2313 including the increase rate during rainy days, a precipitation information display field 2314, a discharge water volume / precipitation graph 2315 showing the discharge water volume and precipitation for each day, a discharge volume distribution graph 2316 showing the discharge water volume for each date and time, and a precipitation graph 2317 showing the precipitation for each date and time (S61). The terminal control unit 20 determines whether or not the identification information of the pump system device 4 or the selection of the month in which the analysis processing was performed has been changed (S62). If the selection of the month for which the identification information or analysis processing was performed is changed (S62:YES), the terminal control unit 20 returns the process to S54 and repeats the same process for the changed pump system device or month. If the selection of the month for which the identification information or analysis processing was performed has not changed (S62:NO), the terminal control unit 20 terminates the process.

[0169] (Embodiment 5) The information processing device 1 according to Embodiment 5 calculates the monthly increase in the amount of water discharged from the pump 41 during rainy weather compared to sunny weather. Below, the differences between Embodiment 5 and Embodiments 1 to 4 will be explained. Except for the configuration described later, the other configurations are the same as those in Embodiments 1 to 4. For this reason, the same reference numerals as in Embodiment 1 are used for the components that are common to Embodiments 1 to 4, and the description of those components is omitted.

[0170] Figure 37 is an explanatory diagram showing an example of a map display screen according to Embodiment 5. The map display screen according to Embodiment 5 displays an increase rate and increase amount display field 2318 that shows the increase rate and increase amount during rainy weather for the pump 41 of each pump system device 4. The increase amount during rainy weather indicates, for example, the increase in the discharge volume during rainy weather in the most recent month (the month in which the analysis processing was performed) compared to the discharge volume during sunny weather in the three months prior to the most recent month. The control unit 10 of the information processing device 1 defines, for example, a rainy day when the precipitation is 5 mm / h or more, and a sunny day when it is less than 5 mm / h, and calculates the increase amount during rainy weather by multiplying the value obtained by subtracting the average hourly discharge volume during sunny weather in the three months prior to the most recent month (average discharge volume during sunny weather) from the average hourly discharge volume during rainy weather in the most recent month (average discharge volume during rainy weather), by the precipitation time in the most recent month. In the increase rate / increase amount display section 2318, the increase rate and increase amount during rainy weather for each pump system device 4 located within a specific range (for example, a specific city or town) are displayed. In this embodiment, the precipitation threshold for determining whether each time (time period) is sunny or rainy is 5 mm / h, but it is not limited to this, and the precipitation threshold may be, for example, 10 mm / h. Also, the precipitation threshold may differ for each pump system device 4. In the example shown in Figure 37, the display order of the pump system devices 4 in the increase rate / increase amount display section 2318 is by the amount of increase during rainy weather, but it may also be by identification number or by the increase rate during rainy weather. Furthermore, the icons of the pump system devices 4 displayed on the map display screen according to Embodiment 5 may have different colors depending on the magnitude of the increase rate or increase amount during rainy weather. Furthermore, as in the example shown in Figure 33, the map 2310 displayed on the map display screen may also display a mesh (shading) corresponding to the cumulative amount of precipitation (cumulative rainfall) for the month in which the analysis was performed. As in the example shown in Figure 33, a function button (cumulative rainfall button) to toggle the display of the cumulative rainfall mesh may also be displayed on the map display screen.

[0171] Figure 38 is an explanatory diagram showing an example of a detailed display screen according to Embodiment 5. The analysis result display section 2313 of the detailed display screen according to Embodiment 5 displays the amount of increase during rainy days for the month in which the analysis was processed. The detailed display screen displays information regarding the status of the pump system device 4. The information regarding the status of the pump system device 4 includes the discharge water volume during sunny days (average discharge water volume during sunny days), the discharge water volume during rainy days (average discharge water volume during rainy days), the increase rate during rainy days, the amount of increase during rainy days, the possibility (degree of impact) of water infiltration during rainy days, the discharge water volume / precipitation graph 2315, the discharge volume distribution graph 2316, and the precipitation graph 2317. The information regarding the status of the pump system device 4 may also include a comparison result between the operating information of the pump system device 4 during sunny days and the operating information of the pump system device 4 during rainy days. In addition, either the increase rate during rainy days or the amount of increase during rainy days may be displayed in the analysis result display section 2313.

[0172] Figure 39 is a flowchart showing an example of the processing of the information processing device 1 and terminal 2 according to Embodiment 5. The processing in S71 to S75 is the same as the processing in S21 to S25 shown in Figure 34. The information processing device 1 performs the processing to calculate the rainy weather increase rate and the rainy weather increase amount (S76). Details of the processing to calculate the rainy weather increase rate and the rainy weather increase amount will be described later (see Figure 40). The control unit 10 reads the location of each pump system device 4 from the pump location table 117 (S77). The control unit 10 may also obtain the amount of precipitation at the location from the weather server 5 based on the location read in S77. The control unit 10 transmits graphs of various statistical data, status information, warning information, the result of determining whether or not there is infiltration water at each pump system device, the rainy weather increase rate, the rainy weather increase amount, and the location to terminal 2 (S78).

[0173] The terminal control unit 20 of terminal 2 receives graphs of various statistical data, status information, warning information, determination results of whether or not water has entered each pump system device, rainfall increase rate, rainfall increase amount, and location from the information processing device 1 (S79). The processing in S80 to S82 is the same as the processing in S30 to S32 shown in Figure 34.

[0174] Furthermore, the control unit 10 of the information processing device 1 may periodically execute the processes related to S25 to S27, and store the graphs of various statistical data, status information, warning information, the determination results of whether or not water is entering each pump system device, the rainy weather increase rate, the rainy weather increase amount, and the location acquired through these processes in the database of the storage unit 11, and transmit the stored graphs of various statistical data, status information, warning information, the determination results of whether or not water is entering each pump system device, the rainy weather increase rate, the rainy weather increase amount, and the location to the terminal 2 upon request from the terminal. At this time, the terminal control unit 20 of the terminal 2 may transmit information to the information processing device 1 in S73 requesting the graphs of various statistical data, status information, warning information, the determination results of whether or not water is entering each pump system device, the rainy weather increase rate, the rainy weather increase amount, and the location.

[0175] Figure 40 is a flowchart showing an example of the rainy weather increase rate and rainy weather increase amount calculation process (calculation process) of the information processing device 1. The control unit 10 of the information processing device 1 reads the operating time of the pump 41 at each time point for the three months prior to the most recent month (the month in which the analysis was performed) and for the most recent month from the operation information table 112 (S761). The control unit 10 calculates the discharge amount of the pump 41 at each time point by multiplying the operating time of the pump 41 at each time point by a predetermined coefficient (discharge amount per second of operating time) (S762). The control unit 10 also obtains the precipitation amount for the three months prior to the most recent month (the month in which the analysis was performed) and for each time point for the most recent month from the weather server 5 (S763). Based on the obtained precipitation amount, the control unit 10 determines whether each time point (time period) is sunny or rainy (S764). In S764, the control unit determines that times when the precipitation is less than, for example, 5 mm / h are sunny, and times when it is 5 mm / h or more are rainy.

[0176] The control unit 10 calculates the average discharge volume during sunny days (periods with precipitation less than, for example, 5 mm / h) for the three months prior to the most recent month (the month in which the analysis was performed) (average discharge volume during sunny days) (S765). The control unit 10 calculates the average discharge volume during rainy days (periods with precipitation of, for example, 5 mm / h or more) for the most recent month (average discharge volume during rainy days) (S766). The control unit 10 also calculates the total rainy hours (periods with precipitation of, for example, 5 mm / h or more) for the most recent month (S767). The control unit 10 calculates the increase rate during rainy days by subtracting the average discharge volume during sunny days from the average discharge volume during rainy days, dividing the result by the average discharge volume during sunny days, and multiplying by 100 (S768). The control unit 10 also calculates the increase amount during rainy days by multiplying the result of subtracting the average discharge volume during sunny days from the average discharge volume during rainy days by the rainy hours (S769). The control unit 10 proceeds to process S77 (see Figure 39) (return).

[0177] Figures 41 and 42 are flowcharts detailing the display process of the map display screen and detailed display screen by terminal 2 according to Embodiment 5. The processes in S101 to S106 are the same as the processes in S41 to S46 shown in Figure 35. The control unit 10 of the information processing device 1 acquires the rainy weather increase rate and rainy weather increase amount calculated in S76 (see Figures 39 and 40) (S107). The control unit 10 transmits the location of each pump system device 4 within the range, the result of determining whether or not there is infiltration water, the rainy weather increase rate, and the rainy weather increase amount to terminal 2 (S108).

[0178] The terminal control unit 20 receives from the information processing device 1 the location of the pump system devices 4 included in the range of the selected map 2310, the result of determining whether or not there is infiltration water for the selected month, the rainy weather increase rate, and the rainy weather increase amount (S109). The terminal control unit 20 sorts the identification numbers of each pump system device in the order of the received rainy weather increase amounts (S110). The terminal control unit 20 may also sort the identification numbers of each pump system device in the order of the rainy weather increase rate in S110. On the map display screen, the terminal control unit 20 displays the map 2310 showing icons indicating the locations of the pump system devices 4, the rainy weather increase rate and rainy weather increase amount for each pump system device 4 (increase rate increase amount display field 2318), and a list of pump system devices 4 in the selected range (pump system device list 2312) (S111). The terminal control unit 20 determines whether or not the range of the displayed map 2310 or the selection of the month for which the analysis processing was performed has been changed (S112). If the range of the displayed map 2310 or the selection of the month for which the analysis process was performed is changed (S112:YES), the terminal control unit 20 returns the process to S102 and repeats the same process for the changed range or month. If the range of the displayed map 2310 or the selection of the month for which the analysis process was performed has not been changed (S112:NO), the terminal control unit 20 proceeds to S113.

[0179] The processing in S113 to S122 is the same as the processing in S53 to S62 shown in Figure 36. The control unit 10 of the information processing device 1 may acquire the pre-calculated discharge volume for each date and time, the discharge volume during sunny weather, and the discharge volume during rainy weather in S116, and may acquire the pre-created discharge volume / precipitation graph, discharge volume graph, and precipitation graph in S118. In addition, the control unit 10 may transmit the rainy weather increase rate, the rainy weather increase amount, or the determination result of whether or not there is infiltration water to the terminal 2 in S119.

[0180] (modified version) In the embodiments described above, the pump system device 4 is assumed to be installed in a separate sewer system that carries sewage and rainwater into separate pipes, but the invention is not limited to this. The present invention can also be used in a combined sewer system. In a combined sewer system, if there is a strong correlation between the third statistical data and the fourth statistical data, even if the operating time is delayed, if the cause is due to normal rainwater inflow, it will not be judged as abnormal. In other words, the judgment criteria and judgment results will be different from those of a separate sewer system. Furthermore, by comparing the first statistical data and the fourth statistical data in the pump system device 4 installed in the separate sewer system, it is possible to detect abnormalities in pumps that only drain rainwater or the possibility of abnormalities in the rainwater drainage system piping.

[0181] In each of the embodiments described above, the information processing device 1 generates first statistical data and second statistical data based on the operating information of the pump system device 4, but is not limited thereto. The device may be, for example, a management device for a multi-story parking garage. In this case, the information processing device 1 may generate first statistical data and second statistical data that assign, for example, the number of vehicles entering or leaving the parking garage per unit time to the third axis. The information processing device 1 may also output information regarding the status of the multi-story parking garage, such as information indicating that the number of vehicles parked in the parking garage is abnormally high or low compared to the average over a predetermined period, based on the first statistical data and second statistical data. The device may also be a blower that supplies air to a diffuser such as a Roots blower or turbo blower, or an agitator for stirring the inside of a sewage storage tank. Furthermore, if the operating time per unit time is roughly proportional to the discharge volume, the operating time per unit time or the ratio of the operating time per unit time (operating rate) may be displayed on the display unit 23 of the terminal device 2 instead of the discharge volume per unit time. By doing so, terminal device 2 can display information regarding the status of pump system device 4 regardless of the performance of pump 41, thus simplifying programming and initial setup.

[0182] The embodiments disclosed herein should be considered in all respects as illustrative and not restrictive. The technical features described in each embodiment can be combined with each other, and the scope of the present invention is intended to include all modifications within the claims and scope equivalent to the claims. Furthermore, the independent and dependent claims described in the claims can be combined with each other in any combination, regardless of the form of reference. In addition, the claims use a multi-claim format in which claims refer to two or more other claims (multi-claim format), but are not limited thereto. The claims may also be described using a multi-claim format in which at least one multi-claim refers to a multi-multi-claim format. [Explanation of symbols]

[0183] 100 Information Processing Systems 1. Information Processing Device 10 Control Unit 11 Storage section 11a recording media 111 Programs 112 Driving Information Table 113 State Determination Table 114 Status Information Table 115 Learning Models 116 System Table 12 Communications Department 2 terminals 20 Terminal Control Unit 21 Memory section 211 Programs 22 Communications Department 23 Display section 24 Control section 300 control panel 3. Control device 30 Device Control Unit 31 Storage section 32 Communications Department 33 Input / output section 4. Pump system equipment (manhole equipment) (devices) 41 pumps 411 Pump body 412 Drive unit 42 Water level gauge 43 Inflow pipe 44 Storage tank 45 Discharge pipe 46 Water level gauge 5 Weather Server 6. Wastewater pipelines N Network

Claims

1. The system acquires operational information of the pumps installed in the pump system for a predetermined period and information regarding the status of the pump system based on rainfall in the area where the pump system is installed. The location of the pump system is displayed on a map in a display format corresponding to the information regarding the aforementioned status. A program that instructs a computer to perform a process.

2. First statistical data is generated based on the operating information of the pumps installed in the pump system, using a first time axis and a second time axis with a different scale from the first time axis as references. Second statistical data is generated based on the average of the first statistical data group over a predetermined period. A third statistical data set is generated based on the difference between the first statistical data and the second statistical data set. A fourth statistical data set is generated based on the precipitation in the area where the pump system is installed, using the first and second time axes as references. Based on the correlation between the first statistical data and the second statistical data, the third statistical data, and the correlation between the third statistical data and the fourth statistical data, information regarding the state, including information regarding infiltrating water flowing into the pump system device due to precipitation, is obtained. The program according to claim 1.

3. The system acquires information regarding the state, which includes at least one of the following: the rainy weather increase rate, which is the increase in the operating time or discharge volume of the pump per unit time during rainy weather compared to sunny weather, and the rainy weather increase amount, which is the increase in the discharge volume of the pump per unit time during rainy weather compared to sunny weather. The program according to claim 1 or 2.

4. Depending on the magnitude of the increase in rainfall during rainy weather, or the increase rate during rainy weather, included in the information regarding the aforementioned conditions, the display format of the location of the pump system device is varied. The program according to claim 3.

5. Depending on the likelihood that the infiltrating water associated with precipitation, as included in the information regarding the aforementioned conditions, is flowing into the pump system, the display format of the location of the pump system will be varied. The program according to claim 1 or 2.

6. In addition to information identifying the pump system devices for a plurality of the aforementioned pump system devices, at least one of the rainy weather increase rate and the rainy weather increase amount for the pump system devices is displayed in descending order of the rainy weather increase rate or the rainy weather increase amount. The program according to claim 3.

7. Based on the operating time of the pump per unit time, the discharge volume of the pump per unit time is calculated. A graph showing the trend of rainfall in the area where the pump system is installed over a predetermined period, and a graph showing the trend of the amount of water discharged per unit time by the pump are displayed together. The program according to claim 1 or 2.

8. A graph is displayed showing the discharge volume of the pump per unit time at each date and time within a predetermined period, with the first time axis representing the date, the second time axis representing the time, and the third axis representing the discharge volume per unit time. The program according to claim 7.

9. The graph displays the amount of rainfall in the area where the pump system is installed at each date and time within a predetermined period, with the first time axis representing the date, the second time axis representing the time, and the third axis representing the amount of rainfall per unit time. The program according to claim 7.

10. On the aforementioned map, the location of the pump system device is indicated by an icon. The selection of the aforementioned icon is accepted. A detailed display screen is shown, which includes information regarding the status of the pump system device related to the selected icon. The program according to claim 1 or 2.

11. The system accepts the selection of information that identifies the pump system device. A detailed display screen is displayed which includes at least one of the following graphs relating to the selected information: a graph showing the discharge volume of the pump during clear weather, the discharge volume of the pump during rainy weather, the trend of precipitation in the area where the pump system is installed over a predetermined period, and the trend of the discharge volume of the pump per unit time; a graph showing the discharge volume of the pump per unit time at each date and time of a predetermined period with the first time axis representing the date, the second time axis representing the time, and the third axis representing the discharge volume per unit time; and a graph showing the precipitation in the area where the pump system is installed at each date and time of a predetermined period with the first time axis representing the date, the second time axis representing the time, and the third axis representing the precipitation per unit time. The program according to claim 6.

12. The precipitation distribution is superimposed on the aforementioned map. The program according to claim 1 or 2.

13. The system acquires information regarding the status of the pump system based on the operating time of the pumps installed in the pump system for a predetermined period and the amount of rainfall in the area where the pump system is installed. The location of the pump system is displayed on a map in a display format corresponding to the information regarding the aforementioned status. An information processing method that involves having a computer perform a task.

14. The system acquires information regarding the status of the pump system based on the operating time of the pumps installed in the pump system for a predetermined period and the amount of rainfall in the area where the pump system is installed. The location of the pump system is displayed on a map in a display format corresponding to the information regarding the aforementioned status. control unit An information processing device equipped with the following features.

Images