Program, information processing device, power equipment, and information processing method

Abstract

To provide a program or the like capable of grasping a state of a distribution panel at an early stage with an easy method.SOLUTION: A program makes a computer execute processing for acquiring temperature-humidity data obtained from a temperature-humidity sensor installed in a power apparatus and corrosion current data obtained from an ACM sensor installed in the power apparatus, and specifying a ratio belonging to a plurality of areas regulated by a moisture amount axis and a contamination degree axis on the basis of a distribution of a moisture amount in the power apparatus based on obtained temperature-humidity data at a plurality of time points and a contamination degree in the power apparatus based on the corrosion current data.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a program, an information processing apparatus, an electric power device, and an information processing method.

[0002] Generally, power transmission and distribution facilities branch from high-voltage distribution lines to supply power to equipment within consumers such as factories and buildings. In these power transmission and distribution facilities, partial discharge may occur due to deterioration or the like in electrical equipment provided in cables or switchboards. When discharge occurs, there is a problem that the insulation performance of the insulation coating of the operating equipment or the cable decreases or disappears, leading to a serious insulation breakdown accident.

[0003] Therefore, in the regular inspection of switchboards and the like, measurement of the insulation resistance of the insulators of the electrical equipment in the switchboard, confirmation of the operation of the electrical equipment, cleaning of the insulators, etc. are carried out to confirm the soundness of the switchboard. Usually, the insulation resistance of the insulators of electrical equipment is measured by stopping the power supply to the electrical equipment and applying a test voltage to the insulators included in the electrical equipment, and measuring the resistance value of the measurement object based on the current flowing through the insulators (for example, see Patent Document 1).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] Measuring the resistance of an object allows for the diagnosis of the deterioration of a distribution panel. However, if a long period of time has passed since the last inspection, it may not be possible to prevent the deterioration of the distribution panel from progressing. Furthermore, diagnosing the condition of a distribution panel by measuring its insulation resistance requires shutting off power to electrical equipment, which leads to a decrease in equipment utilization due to power outages and places a significant burden on the customer. Therefore, there is a need for a technology that allows for the early assessment of the condition of distribution panels using an easy method.

[0006] The purpose of this disclosure is to provide a program, etc., that allows for the early assessment of the status of a power distribution panel in an easy manner. [Means for solving the problem]

[0007] A program according to one aspect of this disclosure acquires temperature and humidity data from a temperature and humidity sensor installed in a power device and corrosion current data from an ACM sensor installed in the power device, and causes a computer to perform a process to identify the proportion of a plurality of areas defined by a moisture content axis and a contamination degree axis, based on the distribution of moisture content in the power device based on the acquired temperature and humidity data at multiple time points and contamination degree in the power device based on the corrosion current data.

[0008] An information processing device according to one aspect of the present disclosure includes a control unit that acquires temperature and humidity data obtained from a temperature and humidity sensor installed in the power equipment and corrosion current data obtained from an ACM sensor installed in the power equipment, and performs a process to identify the proportion belonging to a plurality of areas defined by a moisture content axis and a contamination degree axis, based on the distribution of the amount of moisture inside the power equipment based on the acquired temperature and humidity data at multiple time points and the degree of contamination inside the power equipment based on the corrosion current data.

[0009] A power device according to one aspect of this disclosure includes the information processing device described above.

[0010] An information processing method according to one aspect of this disclosure involves acquiring temperature and humidity data obtained from a temperature and humidity sensor installed in a power equipment and corrosion current data obtained from an ACM sensor installed in the power equipment, and a computer performs a process to identify the proportion of each area defined by a moisture content axis and a contamination degree axis, based on the distribution of the amount of moisture inside the power equipment based on the acquired temperature and humidity data at multiple time points and the degree of contamination inside the power equipment based on the corrosion current data. [Effects of the Invention]

[0011] According to this disclosure, the status of the power distribution panel can be determined quickly and easily without interrupting the power supply. [Brief explanation of the drawing]

[0012] [Figure 1] This is a schematic diagram of the information processing system according to the first embodiment. [Figure 2] This is a block diagram showing the configuration of an information processing system. [Figure 3] This figure shows an example of the information stored in the measurement data database. [Figure 4] This figure shows an example of a moisture content-staining degree graph. [Figure 5] This is a diagram showing an example of a contamination risk map. [Figure 6] This flowchart shows an example of the procedure for estimating environmental risks. [Figure 7] This is a schematic diagram showing an example of a diagnostic screen displayed on the terminal device's display unit. [Figure 8] This figure shows an example of a moisture content-condensation occurrence graph. [Figure 9] This figure shows an example of a water film risk map. [Figure 10] This flowchart shows an example of the procedure for estimating environmental risks in the second embodiment. [Figure 11] This is a schematic diagram of the information processing system of the third embodiment. [Figure 12] This flowchart shows an example of the processing procedure in the third embodiment.

Best Mode for Carrying Out the Invention

[0013] The present disclosure will be specifically described with reference to the drawings showing its embodiments.

[0014] (First Embodiment) FIG. 1 is a schematic diagram of an information processing system 100 according to the first embodiment. The information processing system 100 is a system for estimating the environmental state of a switchboard. The information processing system 100 includes an information processing apparatus 1 and a switchboard 2. The information processing apparatus 1 and the switchboard 2 are communicably connected via a network N such as the Internet. The information processing apparatus 1 is further communicatively connected to a terminal device 3 via the network N. The number of switchboards 2 and terminal devices 3 may each be two or more.

[0015] The information processing apparatus 1 is an apparatus capable of various information processing and information transmission and reception, and is, for example, a server computer, a personal computer, or a quantum computer. The information processing apparatus 1 acquires various measurement data for the switchboard 2, and estimates the environmental state of the switchboard 2 based on the acquired measurement data. The information processing apparatus 1 provides the estimation result of the environmental state through the terminal device 3.

[0016] The environmental state of the switchboard 2 is the environmental state inside the switchboard 2, and includes information indicating the possibility of an environmental state leading to the deterioration of the switchboard 2. More specifically, it includes information indicating the risk of insulation breakdown of the insulator inside the switchboard 2. In the present embodiment, as the environmental state, environmental risks classified into multiple levels are estimated. The estimation result of the environmental risk is presented graphically by a risk map.

[0017] The switchboard 2 is an example of power equipment that includes a power transmission and distribution system within its enclosure. The switchboard 2 is a metal enclosure with an openable and closable door and has a roughly rectangular parallelepiped shape. Inside the enclosure, which is divided into multiple compartments, are electrical devices such as circuit breakers, transformers, and current transformers, and insulating material 21 is provided as insulating material for these electrical devices and as busbar support material. Normally, the door is closed to prevent wind and rain from entering the enclosure. The switchboard 2 is grounded to protect the electrical devices housed inside.

[0018] Multiple detection sensors 4 are installed inside the distribution panel 2 to detect the internal environment of the distribution panel 2. Each detection sensor 4 is connected to the control device 5 by wire or wireless connection.

[0019] The detection sensor 4 includes a temperature and humidity sensor 41 and an ACM (Atmospheric Corrosion Monitor) type corrosion sensor (hereinafter also referred to as the ACM sensor) 42. The temperature and humidity sensor 41 is a sensor that measures the temperature and relative humidity inside the distribution panel 2. The temperature and humidity sensor 41 detects the temperature and relative humidity inside the distribution panel 2 in a time series. The temperature and humidity sensor 41 may be composed of a temperature sensor and a humidity sensor.

[0020] The ACM sensor 42 is a type of contamination sensor that measures the degree of contamination inside the distribution panel 2. Specifically, it measures the corrosion current inside the distribution panel 2. The ACM sensor 42 comprises a steel substrate, a conductive member, and an insulating member (none of which are shown), and a current measuring instrument is connected between the steel substrate and the conductive member by a wire. The ACM sensor 42 measures the corrosion current that flows when a water film forms between two different metals, with an insulating layer between them and both ends exposed to the environment, thereby measuring the corrosion rate of the metals. The corrosion current value detected by the ACM sensor 42 makes it possible to directly and quantitatively evaluate the corrosiveness (degree of contamination) of the atmospheric environment inside the distribution panel 2. The current measuring instrument may be provided on the side of the ACM sensor 42 or on the control device 5. The structure of the ACM sensor 42 is not limited to the example described above.

[0021] The control device 5 continuously receives the measured values ​​output from the temperature and humidity sensor 41 and the ACM sensor 42, thereby acquiring temperature and humidity data related to temperature and relative humidity at the distribution panel 2, and corrosion current data related to corrosion current. The measurement timings of the temperature and humidity data and the corrosion current data are synchronized. The control device 5 transmits the acquired temperature and humidity data and corrosion current data to the information processing device 1. Note that if the temperature and humidity sensor 41 and the ACM sensor 42 have communication functions, the control device 5 may be omitted.

[0022] Multiple temperature and humidity sensors 41 and ACM sensors 42 may be installed inside the distribution panel 2. The temperature and humidity sensors 41 and ACM sensors 42 may also be attached to each electrical device installed inside the distribution panel 2.

[0023] Terminal device 3 is an information terminal device such as a personal computer, smartphone, or tablet terminal, and has communication and display functions. Terminal device 3 is used, for example, by customers or maintenance personnel. Terminal device 3 functions as an output interface for the estimated environmental state results obtained from the information processing device 1.

[0024] The aforementioned insulator 21, which maintains insulation between the conductors and live equipment parts housed inside the switchboard 2 and the ground, is often made of resin material and requires high insulation properties. However, the switchboard 2 is usually installed outdoors and used in environments with high levels of dust, such as salt, dust, and SOx and NOx from factory and automobile exhaust. This dust accumulates on the surface of the insulator 21 as contaminants. Furthermore, the installation environments of the switchboard 2 vary widely, including inland and coastal areas, and are installed under various temperatures and humidity levels.

[0025] The amount of fouling (degree of fouling) on ​​the surface of the insulating material and its surface resistance have a high correlation, especially under high humidity conditions, and the surface resistance tends to decrease as the amount of fouling increases. A decrease in surface resistance means deterioration of the switchboard 2. In this embodiment, the environment inside the switchboard 2 is identified based on temperature and humidity data and corrosion current data acquired from the switchboard 2, and the environmental risk (dielectric breakdown risk) that leads to the decrease in surface resistance described above is estimated according to the identified environment inside the switchboard 2. The information processing device 1 realizes online continuous monitoring that can estimate the environmental risk in real time using measurement data acquired from the switchboard 2 as it occurs.

[0026] In this embodiment, an example of attaching the detection sensor 4 to the distribution board 2 is described, but the attachment target for the detection sensor 4 is not limited to the distribution board 2. The detection sensor 4 may be attached to other power equipment such as circuit breakers and transformers, which are individually installed as housings for insulating materials 21, and the status of these power equipment may be detected.

[0027] Figure 2 is a block diagram showing the configuration of the information processing system 100.

[0028] The information processing device 1 comprises a control unit 11, a storage unit 12, and a communication unit 13. The information processing device 1 may be configured using multiple computers for distributed processing, or it may be implemented using multiple virtual machines located on a single server, or it may be implemented using a cloud server.

[0029] The control unit 11 includes a processor using one or more CPUs (Central Processing Units), GPUs (Graphics Processing Units), etc. The control unit 11 uses built-in memory such as ROM (Read Only Memory) or RAM (Random Access Memory), a clock, counters, etc., to control each component and execute processing.

[0030] The storage unit 12 includes non-volatile memory such as a hard disk, flash memory, or SSD (Solid State Drive). The storage unit 12 may also be an external storage device connected to the information processing device 1. The storage unit 12 stores various computer programs and data that the control unit 11 references.

[0031] In this embodiment, the storage unit 12 stores a program 1P for causing a computer to perform processing related to estimating the contamination state of the power distribution board 2, and a measurement value DB (Data Base) 121 as data necessary for the execution of this program 1P. The measurement value DB 121 is a database that stores temperature and humidity data and corrosion current data for the power distribution board 2.

[0032] The computer program (program product), including program 1P, may be recorded in a computer-readable manner on a non-temporary recording medium 1A. The storage unit 12 stores the computer program read from the recording medium 1A by the reading device. The recording medium 1A is, for example, a magnetic disk, an optical disk, or a semiconductor memory. Alternatively, the computer program may be downloaded from an external server connected to a communication network and stored in the storage unit 12. Program 1P may be a single computer program or composed of multiple computer programs, and may be executed on a single computer or on multiple computers interconnected by a communication network.

[0033] The communication unit 13 is equipped with a communication interface that enables communication via the network N. The control unit 11 sends and receives data between the control device 5 and the terminal device 3 through the communication unit 13.

[0034] The configuration of the information processing device 1 is not limited to the example described above, and may include, for example, an operation unit for receiving user input, a display unit for displaying various types of information, and so on.

[0035] The terminal device 3 comprises a control unit 31, a storage unit 32, a communication unit 33, a display unit 34, and an operation unit 35. The control unit 31 comprises one or more processors using CPUs, GPUs, etc. The control unit 31 uses built-in memory such as ROM or RAM, a clock, counters, etc. to control each component and execute processing.

[0036] The storage unit 32 includes non-volatile memory such as flash memory. The storage unit 32 stores various computer programs and data referenced by the control unit 31. The communication unit 33 includes a communication interface that enables communication via the network N. The control unit 31 sends and receives data to and from the information processing device 1 through the communication unit 33.

[0037] The display unit 34 includes a display device such as a liquid crystal display or an organic electroluminescent (EL) display. The display unit 34 displays various information according to instructions from the control unit 31. The operation unit 35 is an interface that receives user input. The operation unit 35 includes, for example, a keyboard, a touch panel device with a built-in display, a speaker, and a microphone. The operation unit 35 receives operation input from the user and sends control signals to the control unit 31 according to the operation content.

[0038] The control device 5 of the power distribution panel 2 comprises a control unit 51, a storage unit 52, a communication unit 53, and an input unit 54. The control unit 51 includes a processor such as a CPU. The control unit 51 uses built-in memory such as ROM or RAM to control each component and execute processing. The storage unit 52 includes non-volatile memory such as flash memory. The storage unit 52 stores various programs and data referenced by the control unit 51. The communication unit 53 is a communication interface that enables communication with the information processing device 1 via the network N.

[0039] The input unit 54 is equipped with an input interface for connecting the temperature and humidity sensor 41 and the ACM sensor 42. The connection between the input unit 54 and the temperature and humidity sensor 41 and the ACM sensor 42 may be wired or wireless. The control unit 51 acquires the signals output from the temperature and humidity sensor 41 and the ACM sensor 42 through the input unit 54.

[0040] Figure 3 shows an example of the information stored in the measurement data DB121. The measurement data DB121 stores records that link information such as the measurement date and time and measurement information of the measurement value, using a measurement ID as the key to identify the measurement data. The measurement information includes, for example, ACM sensor information, corrosion current, temperature and humidity sensor information, temperature, and relative temperature.

[0041] The ACM sensor information includes identification information for identifying the ACM sensor 42 that measured the measurement data. The corrosion current is a measurement value from the ACM sensor 42. The corrosion current may also be an amplified value output by amplifying the detected current in the ACM sensor 42 at a predetermined amplification factor. The temperature and humidity sensor information includes identification information for identifying the temperature and humidity sensor 41 that measured the measurement data. The temperature and relative temperature are measurements from the temperature and humidity sensor 41. The measurement value DB121 may store distribution board information for identifying the distribution board 2.

[0042] The information processing device 1 acquires corrosion current and temperature / humidity data at the same time point through the control device 5, and stores them in the measurement value DB 121 as a set of measurement data. The contents of the measurement value DB 121 are updated as needed. The measurement times for corrosion current and temperature / humidity in each set of measurement data do not have to be exactly the same, but may be approximately the same. The contents of the measurement value DB 121 are not limited to the example shown in Figure 3.

[0043] The method for estimating the environmental risks of the power distribution panel 2 in this embodiment will be described in detail below. Figure 4 shows an example of a moisture content-contamination degree graph. In the graph shown in Figure 4, the horizontal axis represents the amount of moisture contained in the air inside the distribution panel 2, and the vertical axis represents the degree of contamination inside the distribution panel 2. In this embodiment, the moisture content is defined as volumetric absolute humidity (unit: g / m³). 3 The explanation will use the example of using ) and the corrosion current value (in μA) as the degree of contamination, but the moisture content and degree of contamination are not limited to these.

[0044] Volumetric absolute humidity can be calculated based on the current temperature and relative humidity measured by the temperature and humidity sensor 41. The corrosion current value may be the measured value or amplified value from the ACM sensor 42. Volumetric absolute humidity (moisture content) decreases as you move to the left on the horizontal axis and increases as you move to the right. The corrosion current value (degree of contamination) decreases as you move down on the vertical axis and increases as you move up.

[0045] The information processing device 1 generates a moisture content-contamination graph, as shown in Figure 4, by plotting the volumetric absolute humidity calculated based on measured temperature and relative humidity values, and the measured corrosion current value at the time the volumetric absolute humidity was obtained, on a two-dimensional coordinate system with the horizontal axis representing volumetric absolute humidity and the vertical axis representing corrosion current value. The moisture content-contamination graph plots combinations of moisture content and contamination at multiple points in time during the estimation period. The measured values ​​related to moisture content and contamination may be measured at predetermined intervals, such as every 10 minutes to every hour, during the estimation period. The moisture content-contamination graph visualizes the distribution of moisture content and contamination.

[0046] Figure 5 shows an example of a contamination risk map. The contamination risk map displays information indicating multiple pre-defined contamination risks superimposed on a moisture content-contamination degree graph. The horizontal and vertical axes of the map shown in Figure 4 are the same as those of the moisture content-contamination degree graph shown in Figure 4.

[0047] The area (two-dimensional plane) of the moisture content-stain level graph is divided into multiple areas (regions) corresponding to each stain risk, based on pre-set definition information for each stain risk. In this embodiment, as an example, the entire area of ​​the moisture content-stain level graph is divided into four areas corresponding to four levels of stain risk. The method of dividing each area, i.e., the definition information for each stain risk, may be set appropriately according to the number and content of the stain risks set.

[0048] In the example shown in Figure 5, four rectangular areas B1, B2, B3, and B4 are generated corresponding to each contamination risk based on a first threshold for volumetric absolute humidity and a second threshold for corrosion current value. In Figure 5, different hatching is applied to each contamination risk area. Rectangular area B1 corresponds to low contamination risk, rectangular area B2 to medium contamination risk, rectangular area B3 to slightly high contamination risk, and rectangular area B4 to high contamination risk. In the map in Figure 5, dashed lines perpendicular to the horizontal axis represent the first threshold, and dashed lines perpendicular to the vertical axis represent the second threshold.

[0049] As shown in Figure 5, when the moisture content-staining degree graph is divided into four rectangular areas, for example, the first threshold is 7-15 g / m². 3 It can also be a value between , and the second threshold is 3 × 10 -5 ~5×10 -4 It may also be a value between μA.

[0050] Note that each area is not limited to being divided into rectangles. Each area may be any shape separated by a boundary line, and the boundary line may be either a straight line or a curve. The boundary line may be defined by a function expression, or it may be set by accepting manual drawing input. There is no particular limit to the number of areas used to divide the moisture content-stain level graph, but three or more is preferable.

[0051] The information processing device 1 estimates the contamination risk for the power distribution panel 2 based on each area in the moisture content-contamination degree graph (contamination risk map) and the distribution of moisture content and contamination degree. Specifically, for each area indicating contamination risk, it calculates the ratio of the number of plots in each area to the total number of plots on the contamination risk map. This allows the degree of each contamination risk to be quantified and shown. The contamination risk may be shown, for example, as a percentage value. The contamination risk corresponds to the environmental risk.

[0052] The information processing device 1 may further determine an environmental risk score for the power distribution panel 2 as an environmental condition. The environmental risk score may be determined based on the proportion of one or more areas in the moisture content-contamination graph that represent areas showing a predetermined contamination risk. The environmental risk score may be, for example, the sum of the proportions of plots in areas with moderately high contamination risk and high contamination risk. The environmental risk score may be scored out of, for example, 100 points. A lower environmental risk score means that the environmental risk is lower and the environment inside the panel is better.

[0053] Figure 6 is a flowchart showing an example of the environmental risk estimation process. The processes in each flowchart below may be executed by the control unit 11 according to the program 1P stored in the memory unit 12 of the information processing device 1, or they may be implemented by a dedicated hardware circuit (e.g., FPGA or ASIC) provided in the control unit 11, or they may be implemented by a combination of the above. The control unit 11 of the information processing device 1 starts the following processes, for example, at a predetermined estimation timing (e.g., every month, every three months).

[0054] The control unit 11 of the information processing device 1 acquires multiple temperature and humidity data and corrosion current data through the control device 5 (step S11). The control unit 11 acquires, for example, time-series temperature and humidity data and corrosion current data measured at predetermined intervals. The measurement data is associated with identification information for identifying the control device 5 or the switchboard 2 corresponding to the control device 5.

[0055] The control unit 11 stores the acquired temperature and humidity data, corrosion current data, and identification information of the control device 5 in the measurement value DB 121 (step S12). The control unit 11 is not limited to acquiring multiple measurement data at once; it may also acquire measurement data as it is measured by the temperature and humidity sensor 41 and the ACM sensor 42 and store it in the measurement value DB 121.

[0056] The control unit 11 calculates the moisture content and degree of contamination of the switchboard 2 based on multiple temperature and humidity data and corrosion current data stored in the measurement value DB121 (step S13). The control unit 11 may also calculate (obtain) volumetric absolute humidity and corrosion current values ​​as an example. In this case, the control unit 11 may use all the measurement data for the switchboard 2 to be estimated from the measurement data stored in the measurement value DB121, or it may use measurement data from an appropriate diagnostic period such as the most recent three months or six months. In the case of a newly installed switchboard 2, it is preferable to use measurement data after a predetermined period has elapsed in which a certain amount of contamination is expected to have accumulated.

[0057] The control unit 11 generates a contamination risk map by plotting multiple calculated moisture content and contamination degree combinations on a moisture content-contamination degree graph (step S14). The control unit 11 also superimposes areas corresponding to multiple contamination risks on the moisture content-contamination degree graph (contamination risk map) based on pre-set definition information for each contamination risk. The control unit 11 displays the areas corresponding to each contamination risk on the moisture content-contamination degree graph in an identifiable manner by applying image processing such as coloring or borders. It is preferable that the control unit 11 changes the display color of the area according to the contamination risk, or otherwise differentiates the display manner of the area corresponding to each contamination risk according to the contamination risk. This makes it possible to clearly grasp the contamination risk.

[0058] The control unit 11 identifies the ratio of the number of plots in each area representing contamination risk to the total number of plots on the contamination risk map for each area representing contamination risk (step S15). This allows the contamination risk to be estimated. The control unit 11 may further derive an environmental risk score for the distribution board 2 based on the calculated predetermined contamination risk ratio.

[0059] The control unit 11 generates screen information that presents the generated contamination risk map and the estimated contamination risk (step S16). The control unit 11 transmits the generated screen information to the terminal device 3 (step S17), and the screen is displayed on the display unit 34 via the terminal device 3. In step S17, the control unit 11 may also identify the destination of the screen information, i.e., the terminal device 3 of the customer or maintenance company of the power distribution board 2 that is the subject of contamination risk estimation, based on the identification information associated with the measurement data. The control unit 11 then completes the series of processes.

[0060] Figure 7 is a schematic diagram showing an example of a diagnostic screen displayed on the display unit 34 of the terminal device 3. The control unit 31 of the terminal device 3 displays the diagnostic screen on the display unit 34 as shown in Figure 7, based on the screen information provided by the information processing device 1.

[0061] The diagnostic screen includes a risk map display unit 341, an environmental risk display unit 342, and a maintenance information display unit 343.

[0062] The risk map display unit 341 displays a contamination risk map. The information processing device 1 plots the moisture content and contamination level during the diagnostic period on a moisture content-contamination level graph, generates a contamination risk map by applying predetermined image processing to each contamination risk area, and displays it on the risk map display unit 341.

[0063] When generating a contamination risk map, the information processing device 1 may change the display color, shape, etc., of the markers representing moisture content and contamination level according to the time of data acquisition. For example, moisture content and contamination level may be displayed in different display modes each month. This makes it possible to clearly grasp the changes in the distribution of moisture content and contamination level.

[0064] The environmental risk display unit 342 displays the estimated results of environmental risks (contamination risks). When the information processing device 1 identifies the percentage of each contamination risk, it generates, for example, text data showing the value of each contamination risk and a bar graph, and displays them on the environmental risk display unit 342. Furthermore, when the information processing device 1 calculates an environmental risk score, it displays the score on the environmental risk display unit 342.

[0065] The maintenance information display unit 343 displays maintenance information such as advice corresponding to the estimated contamination risk. The information processing device 1, for example, refers to an advice table (not shown) that associates environmental risk scores with advice, generates advice corresponding to the calculated environmental risk score, and displays it on the maintenance information display unit 343. The information processing device 1 may also generate advice corresponding to the percentage of each contamination risk. For example, if the environmental risk score or the percentage of contamination risk above a predetermined level is above a predetermined value, the information processing device 1 provides advice prompting cleaning of the distribution board 2 or replacement of equipment.

[0066] The diagnostic screen may be configured to display the estimated contamination risk results in chronological order. For example, each time the information processing device 1 performs the estimation process, it associates the obtained estimation results with the identification information of the power distribution board 2 and stores them in chronological order in the measurement value DB 121, etc. When estimating contamination risk, the information processing device 1 reads out a predetermined number of estimation results previously obtained for the power distribution board 2 to be estimated and displays them on the diagnostic screen. In the example shown in Figure 7, the chronological change of the environmental risk score is displayed on the environmental risk display unit 342. The information displayed in chronological order is not limited to the environmental risk score; it may also be a contamination risk map, or the values ​​of each contamination risk.

[0067] The diagnostic screen may also be configured to allow the user to change the diagnostic period for which contamination risk is estimated. For example, the diagnostic screen includes a period reception unit 344, as shown in Figure 7, which accepts the selection of a period. When the information processing device 1 accepts the selection of a period through the period reception unit 344, it generates a contamination risk map and estimates the contamination risk based on the measurement data during the accepted period. The information processing device 1 outputs updated diagnostic screen information corresponding to the execution results to the terminal device 3.

[0068] According to this embodiment, the environmental risk of the power distribution panel 2 can be easily and accurately estimated based on temperature, humidity, and corrosion current measurements of the power distribution panel 2. The information required for estimating the environmental risk can be easily acquired online using the temperature and humidity sensor 41 and ACM sensor 42 installed in the power distribution panel 2. By presenting the environmental risk in real time using the measurement data, the environmental risk can be grasped early. This enables predictive maintenance of the power distribution panel 2.

[0069] Environmental risks are presented visually and easily through a risk map. Through the risk map, users can clearly understand the data distribution for each environmental risk, as well as the basis for the environmental risk estimation. Furthermore, since the probability of each environmental risk is shown quantitatively, users can comprehensively understand the status of the power distribution panel 2 while comparing each environmental risk.

[0070] (Second Embodiment) In the second embodiment, a configuration for estimating water film risk in addition to contamination risk will be described. Below, the differences from the first embodiment will be mainly explained, and components common to both embodiments will be denoted by the same reference numerals and their detailed descriptions will be omitted.

[0071] In addition to contamination, the amount of moisture on the insulating surface also affects the decrease in surface resistance in the switchboard 2. As the thickness and / or extent of the water film on the contaminated insulating surface increases, the amount of moisture on the insulating surface increases, making it easier for the surface resistance to decrease. In the second embodiment, in addition to the contamination risk, the water film risk is estimated as an environmental risk.

[0072] The water film risk represents the likelihood of water film formation inside the distribution panel 2 and is classified into multiple levels according to the level of risk. The water film risk can be estimated based on the amount of moisture contained in the air inside the distribution panel 2 and the degree of condensation that occurs inside the distribution panel 2. The amount of moisture may be determined using volumetric absolute humidity, for example, similar to the estimation process for contamination risk.

[0073] The degree of condensation occurrence refers to the likelihood of condensation occurring. In this embodiment, as an example, the reciprocal of the difference between the current temperature and the dew point temperature (hereinafter also referred to as the temperature difference) in the distribution panel 2 is defined as the degree of condensation occurrence. The current temperature in the distribution panel 2 is the temperature measured by the temperature and humidity sensor 41, and the dew point temperature can be calculated based on the temperature and relative humidity measured by the temperature and humidity sensor 41. Note that the degree of condensation occurrence is not limited to the reciprocal of the temperature difference; for example, if the degree of condensation occurrence is defined as the likelihood of condensation occurring, it may also be the temperature difference. Furthermore, the degree of condensation occurrence is not limited to being expressed by the difference between the current temperature and the dew point temperature.

[0074] The information processing device 1 generates a water film risk map, including a moisture content-condensation rate graph, using multiple moisture content and condensation rate data obtained based on temperature and humidity data, and estimates the water film risk. The information processing device 1 calculates an environmental risk score for the power distribution panel 2 by comprehensively evaluating the contamination risk and the water film risk.

[0075] Figure 8 shows an example of a moisture content-condensation occurrence graph. The horizontal axis of the graph in Figure 8 represents volumetric absolute humidity (unit: g / m³) as moisture content. 3The vertical axis represents the reciprocal of the temperature difference as a measure of condensation (unit: 1 / K). Volumetric absolute humidity decreases as you move to the left on the horizontal axis and increases as you move to the right. The reciprocal of the temperature difference decreases as you move downwards on the vertical axis and increases as you move upwards.

[0076] The information processing device 1 generates the moisture content-condensation occurrence rate graph shown in Figure 8 by plotting the volumetric absolute humidity and the reciprocal of the temperature difference at the time the volumetric absolute humidity was obtained on a two-dimensional coordinate system with the horizontal axis representing volumetric absolute humidity and the vertical axis representing the condensation occurrence rate. The moisture content-condensation occurrence rate graph plots combinations of moisture content and the reciprocal of the temperature difference at multiple points in time during the estimation period.

[0077] Figure 9 shows an example of a water film risk map. The water film risk map displays information indicating multiple pre-defined water film risks superimposed on a moisture content-condensation occurrence graph. The horizontal and vertical axes of the map shown in Figure 9 are the same as those of the moisture content-condensation occurrence graph shown in Figure 8.

[0078] Similar to the contamination risk map, the area of ​​the moisture content-condensation rate graph is divided into multiple areas corresponding to each water film risk, based on the pre-defined definition information for each water film risk. The method of dividing each area, i.e., the definition information for each water film risk, may be set appropriately according to the number and content of the water film risks.

[0079] In Figure 9, as an example, the entire area of ​​the moisture content-condensation occurrence graph is divided into four rectangular areas B5, B6, B7, and B8 based on a third threshold for volumetric absolute humidity and a fourth threshold for the reciprocal of the temperature difference. In Figure 9, different hatching is applied to each area of ​​water film risk. Rectangular area B5 corresponds to low water film risk, rectangular areas B6 and B8 correspond to medium water film risk, and rectangular area B7 corresponds to high water film risk. In the map in Figure 9, dashed lines perpendicular to the horizontal axis represent the third threshold, and dashed lines perpendicular to the vertical axis represent the fourth threshold.

[0080] When the area is divided into four rectangular areas as shown in Figure 9, for example, the third threshold is 7-15 g / m².3 The value may be between 0.05 and 0.2(1 / K), and the fourth threshold may also be a value between 0.05 and 0.2(1 / K).

[0081] Similar to the contamination risk map, the areas in the water film risk map are not limited to rectangles; they can be any shape. Furthermore, while there is no particular limit to the number of areas used to divide the moisture content-condensation occurrence graph, three or more areas are preferable.

[0082] The information processing device 1 estimates the water film risk for the power distribution panel 2 based on each area in the moisture content-condensation rate graph and the distribution of moisture content and condensation rate. Specifically, for each area indicating water film risk, it calculates the ratio of the number of plots in that area to the total number of plots on the water film risk map. The water film risk may be expressed, for example, as a percentage.

[0083] The information processing device 1 calculates an overall environmental risk score by integrating the estimated results of contamination risk and the estimated results of water film risk. Specifically, the overall score is determined by considering the environmental risk score for contamination risk calculated based on the contamination risk map and the environmental risk score for water film risk calculated based on the water film risk map.

[0084] The environmental risk scores for contamination risk and water film risk may be determined based on the proportion of each risk map to one or more areas. The overall score may be determined by adding or multiplying the environmental risk scores for contamination risk and water film risk.

[0085] The environmental risk score may be calculated, for example, by dividing the product of the percentage of plots related to a given contamination risk (e.g., moderate contamination risk, high contamination risk, or a combination thereof) and the percentage of plots related to a given water film risk (e.g., moderate water film risk, high water film risk, or a combination thereof) by 200 and converting it to a score of 100.

[0086] Figure 10 is a flowchart showing an example of the environmental risk estimation process in the second embodiment. Processes common to Figure 6 of the first embodiment are given the same step numbers, and their detailed explanations are omitted.

[0087] The control unit 11 of the information processing device 1 performs the same processing as in steps S11 to S15 in Figure 6 to acquire multiple temperature and humidity data and corrosion current data, generate a contamination risk map, and identify the proportion of plots in each area indicating contamination risk.

[0088] The control unit 11 calculates the degree of condensation occurrence on the power distribution panel 2 (for example, the reciprocal of the temperature difference) based on multiple temperature and humidity data (step S21). The control unit 11 generates a water film risk map by plotting the multiple calculated combinations of moisture content and condensation occurrence on a moisture content-condensation occurrence graph (step S22). The control unit 11 also superimposes areas corresponding to multiple water film risks on the moisture content-condensation occurrence graph (water film risk map) based on pre-set definition information for each water film risk.

[0089] The control unit 11 identifies the ratio of the number of plots in each area indicating water film risk to the total number of plots on the water film risk map for each area indicating water film risk (step S23). This allows the water film risk to be estimated.

[0090] The control unit 11 calculates an overall environmental risk score by integrating the identified contamination risk and water film risk (step S24). The control unit 11 may calculate the environmental risk score based, for example, on the ratio of plots related to a predetermined contamination risk and the ratio of plots related to a predetermined water film risk.

[0091] The control unit 11 generates screen information that displays the generated contamination risk map, water film risk map, and estimated environmental risk results (step S25). The control unit 11 transmits the generated screen information to the terminal device 3 (step S26), and the screen is displayed on the display unit 34 via the terminal device 3. The control unit 11 then completes the series of processes.

[0092] The diagnostic screen displayed on the display unit 34 of the terminal device 3 shows estimated results for both contamination risk and water film risk. The information processing device 1, for example, displays the contamination risk map and the water film risk map side by side on the risk map display unit 341 of the diagnostic screen. The information processing device 1 displays the estimated results for contamination risk and water film risk on the environmental risk display unit 342. The information processing device 1 displays the overall environmental risk score estimated based on the contamination risk and water film risk. The information processing device 1 generates maintenance information based on the overall environmental risk score and displays it on the maintenance information display unit 343.

[0093] According to this embodiment, by considering water film risk in addition to contamination risk, the environmental condition can be estimated with greater accuracy. Furthermore, an environmental risk score can be efficiently derived based on the data distribution in both the contamination risk map and the water film risk map.

[0094] (Third embodiment) In the third embodiment, a configuration in which the environmental conditions are notified by a notification function provided in the distribution board 2 will be described. The following mainly describes the differences from the first embodiment, and components common to the first embodiment are denoted by the same reference numerals and their detailed descriptions are omitted.

[0095] Figure 11 is a schematic diagram of the information processing system 100 of the third embodiment. In the information processing system 100 of the third embodiment, the information processing device 1 is provided in the power distribution panel 2. The information processing device 1 is connected to the control device 5 by wire or wireless connection. The information processing device 1 may also be integrated into the control device 5.

[0096] The power distribution panel 2 is equipped with a notification unit 22 that includes a light source such as an LED light, and is configured to notify the surroundings of predetermined information by illuminating the light source. Figure 11 shows an example of a power distribution panel 2 equipped with three notification units 22 that emit different colors. The notification unit 22 may also include a sound source such as a speaker and be configured to notify predetermined information by voice. The notification unit 22 is connected to an information processing device 1 and receives various signals output from the information processing device 1. If the environmental risk is high, the information processing device 1 will output an alert through the notification unit 22.

[0097] Figure 12 is a flowchart showing an example of the processing procedure in the third embodiment. Processes common to Figure 6 of the first embodiment are given the same step numbers, and their detailed explanations are omitted.

[0098] The control unit 11 of the information processing device 1 performs the same processing as in steps S11 to S15 in Figure 6 to acquire multiple temperature and humidity data and corrosion current data, generate a contamination risk map, and identify the proportion of plots in the area indicating each contamination risk. The control unit 11 may further perform the same processing as in steps S21 to S22 in Figure 10 to generate a water film risk map and identify the proportion related to each water film risk.

[0099] The control unit 11 calculates an environmental risk score for the distribution panel 2 based on the percentage of the predetermined contamination risk identified (step S31). In step S31, the control unit 11 may also calculate an overall environmental risk score based on contamination risk and water film risk.

[0100] The control unit 11 determines the relationship between the calculated environmental risk score and a preset threshold, and determines whether the calculated environmental risk score is greater than or equal to the threshold (step S32). If it determines that the calculated environmental risk score is less than the threshold (S32: NO), the control unit 11 terminates the series of processes.

[0101] If the calculated environmental risk score is determined to be above a threshold (S32: YES), the control unit 11 outputs warning information through the notification unit 22 indicating that the environment inside the distribution panel 2 is unsuitable (step S33), and terminates the series of processes. The control unit 11 outputs a signal to the notification unit 22 to illuminate an LED light corresponding to the environmental risk score. The notification unit 22 lights up the LED light according to the instruction of the control unit 11.

[0102] Whether or not warning information needs to be output is not limited to being determined based on the environmental risk score, but may also be determined based on, for example, a predetermined percentage related to contamination risk, a predetermined percentage related to water film risk, or a combination thereof. Whether or not warning information needs to be output is not limited to being determined based on a threshold. For example, the information processing device 1 may determine to output warning information if the current environmental risk score is higher than the previous one.

[0103] According to this embodiment, the distribution panel 2 itself can notify of deterioration in environmental conditions, thus enabling a quicker response to deterioration in environmental conditions.

[0104] The sequences shown in each embodiment are not limiting, and within a consistent scope, the order of each processing step may be changed, and multiple processes may be executed in parallel. The processing entity for each process is not limiting, and within a consistent scope, the processing of each device may be executed by other devices. Some or all of the processing performed by the information processing device 1 described in each flowchart above may be performed by the control device 5, or by the terminal device 3.

[0105] The embodiments disclosed herein should be considered in all respects to be 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 equivalents thereof.

[0106] The matters described in each embodiment can be combined with each other. 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 form in which claims referencing two or more other claims (multi-claim form), but are not limited to this. A form in which multi-claims referencing at least one multi-claim (multi-multi-claim) may also be used. [Explanation of Symbols]

[0107] 100 Information Processing Systems 1. Information Processing Device 11 Control Unit 12 Storage section 13 Communications Department 121 Measurement Value Database 1P Program 1A Recording medium 2 Switchboard (power equipment) 41 Temperature and Humidity Sensor 42 ACM Sensors 5 Control device 51 Control Unit 52 Storage section 53 Communications Department 54 Input section 3 Terminal devices 31 Control Unit 32 Storage section 33 Communications Department 34 Display section 35 Control section

Claims

1. The system acquires temperature and humidity data from a temperature and humidity sensor installed inside the power equipment, and corrosion current data from an ACM sensor installed inside the power equipment. For multiple areas of a graph defined by a moisture content axis and a contamination degree axis, which plot the moisture content inside the power equipment based on acquired temperature and humidity data at multiple time points and the contamination degree inside the power equipment based on corrosion current data, the ratio of the number of plots in each area to the total number of plots is determined. A program that instructs a computer to perform a process.

2. The graph defined by the moisture content axis and the degree of contamination axis outputs screen information that shows the distribution of moisture content and degree of contamination in relation to each area. The program according to claim 1.

3. For multiple areas of a graph defined by a moisture content axis and a condensation occurrence degree axis, which plot the moisture content and condensation occurrence degree within the power equipment based on temperature and humidity data at multiple time points, the proportion of plots in each area relative to the total number of plots is identified. The program according to claim 1 or claim 2.

4. The graph defined by the moisture content axis and the condensation occurrence degree axis outputs screen information that shows the distribution of moisture content and condensation occurrence degree in correspondence with each area. The program according to claim 3.

5. The environmental state of the power equipment is determined by integrating the percentages in the graph defined by the moisture content axis and the degree of contamination axis with the percentages in the graph defined by the moisture content axis and the degree of condensation. The program according to claim 3.

6. Maintenance information for the power equipment is generated according to the specified percentage. The program according to claim 1 or claim 2.

7. If the environmental risk of the power equipment based on the identified percentage is greater than or equal to a predetermined value, the predetermined information is output. The program according to claim 1 or claim 2.

8. The system acquires temperature and humidity data from a temperature and humidity sensor installed inside the power equipment, and corrosion current data from an ACM sensor installed inside the power equipment. For multiple areas of a graph defined by a moisture content axis and a contamination degree axis, which plot the moisture content inside the power equipment based on acquired temperature and humidity data at multiple time points and the contamination degree inside the power equipment based on corrosion current data, the ratio of the number of plots in each area to the total number of plots is determined. It includes a control unit that performs processing. Information processing device.

9. The information processing apparatus is provided as described in claim 8. Power equipment.

10. The system acquires temperature and humidity data from a temperature and humidity sensor installed inside the power equipment, and corrosion current data from an ACM sensor installed inside the power equipment. For multiple areas of a graph defined by a moisture content axis and a contamination degree axis, which plot the moisture content inside the power equipment based on acquired temperature and humidity data at multiple time points and the contamination degree inside the power equipment based on corrosion current data, the ratio of the number of plots in each area to the total number of plots is determined. An information processing method in which a computer performs the processing.

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