Information processing device and information processing method

Abstract

To accurately evaluate the insulation degradation state of a load system with higher accuracy than conventional methods.SOLUTION: An information processing device (10) is configured to: evaluate the insulation degradation state of a load system (UN) including a load (LD) and a three-phase distribution line (HL) for supplying three-phase AC power to the load (LD); acquire a detected value of a zero-phase current from a ZCT (80) for detecting the zero-phase current flowing through the three-phase distribution line (HL); evaluate the insulation degradation state on the basis of an evaluation target value corresponding to the detected value; and set a hazard level, as a discrete value indicative of the evaluation results of the insulation degradation state on the basis of at least one of: (i) the comparison results between the evaluation target value and each of a plurality of current threshold values, and (ii) a cumulative value of the time during which the evaluation target value exceeds each of the plurality of current threshold values.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] One aspect of the present invention relates to an information processing device that evaluates the state of insulation deterioration of a load system. [Background technology]

[0002] Various techniques have been proposed for monitoring abnormalities in electrical equipment, etc. For example, Patent Document 1 listed below discloses a method for detecting a zero-phase current (referred to as a leakage current in Patent Document 1) in a power distribution line and evaluating the state of insulation deterioration of a load system based on the zero-phase current. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2002-243787 Summary of the Invention [Problem to be solved by the invention]

[0004] An object of one aspect of the present invention is to evaluate the state of insulation deterioration of a load system with higher accuracy than conventional methods. [Means for solving the problem]

[0005] An information processing device according to one embodiment of the present invention is an information processing device that evaluates the insulation deterioration state of a load system including a load and a three-phase distribution line that supplies three-phase AC power to the load, and obtains a detection value of the zero-phase current from a ZCT (Zero Current Transformer) that detects the zero-phase current flowing in the three-phase distribution line, evaluates the insulation deterioration state based on an evaluation target value corresponding to the detection value, and sets a danger level as a discrete value that indicates the evaluation result of the insulation deterioration state based on at least one of (i) a comparison result between the evaluation target value and each of a plurality of current thresholds, and (ii) a cumulative value of the time during which the evaluation target value exceeds each of the plurality of current thresholds.

[0006] An information processing method according to one embodiment of the present invention is an information processing method for evaluating an insulation deterioration state of a load system including a load and a three-phase distribution line that supplies three-phase AC power to the load, and includes the steps of: acquiring a detected value of the zero-phase current from a ZCT (Zero Current Transformer) that detects the zero-phase current flowing in the three-phase distribution line; evaluating the insulation deterioration state based on an evaluation target value corresponding to the detected value; and setting a danger level as a discrete value that indicates the evaluation result of the insulation deterioration state based on at least one of (i) a comparison result between the evaluation target value and each of a plurality of current thresholds, and (ii) a cumulative value of the time during which the evaluation target value exceeds each of the plurality of current thresholds. [Effects of the Invention]

[0007] According to one aspect of the present invention, the state of insulation deterioration of a load system can be evaluated with higher accuracy than conventional methods. [Brief explanation of the drawings]

[0008] [Figure 1] 1 shows an example of the configuration of an evaluation system and its peripherals in the first embodiment. [Figure 2] An example of the time progression of the evaluation target value in a healthy case is shown. [Figure 3] An example of the time progression of the evaluation target value in an accident case is shown below. [Figure 4] 10 shows an example of the time transition of the first cumulative value in a healthy case. [Figure 5] 10 shows an example of the time transition of the second cumulative value in a healthy case. [Figure 6] An example of the time transition of the third cumulative value in a healthy case is shown. [Figure 7] 10 shows an example of the time transition of the first cumulative value in an accident case. [Figure 8] 10 shows an example of the time transition of the second cumulative value in an accident case. [Figure 9] 10 shows an example of the time transition of the third cumulative value in an accident case. [Figure 10]An example of the time progression of the risk level in a healthy case is shown below. [Figure 11] An example of the time progression of the risk level in a healthy case is shown below. DETAILED DESCRIPTION OF THE INVENTION

[0009] [Embodiment 1] Embodiment 1 will be described below. For convenience of explanation, components having the same functions as those described in Embodiment 1 will be denoted by the same reference numerals in the following embodiments, and their description will not be repeated. For simplicity, descriptions of well-known technical matters will be omitted as appropriate. Unless otherwise specified, the components and numerical values ​​described in this disclosure are merely examples. Therefore, for example, unless otherwise specified, the positional and connection relationships of the components are not limited to the examples in the figures.

[0010] FIG. 1 illustrates an example of an evaluation system 1 and its peripheral configuration in embodiment 1. The evaluation system 1 includes an information processing device 10 and a ZCT (Zero Current Transformer) 80. In the example of FIG. 1, the information processing device 10 is located inside electrical equipment EE. In FIG. 1, a power distribution facility is exemplified as the electrical equipment EE. In the example of FIG. 1, a load LD is located outside the electrical equipment EE.

[0011] In the example of Fig. 1, a three-phase AC power system PL is located upstream of the electrical equipment EE. The electrical equipment EE in Fig. 1 has a transformer TR. The primary side of the transformer TR is connected to the power system PL, and the secondary side of the transformer TR is connected to the power distribution system of the electrical equipment EE.

[0012] 1 transforms the high voltage (e.g., 6000 V) of the power system PL into a lower voltage (e.g., 200 V) suitable for the load LD. In this way, the transformer TR supplies the low voltage to the load LD.

[0013] 1, N loads LD are illustrated. N may be any natural number. In the first embodiment, a case where there are a plurality of loads LD, that is, N is 2 or more, is illustrated.

[0014] In this specification, when distinguishing between N loads LD, the i-th load LD is denoted as load LD-i, where i is any natural number greater than or equal to 1 and less than or equal to N. Therefore, in Fig. 1, load LD-1 refers to the first load LD, and load LD-N refers to the N-th load LD. This notation for the load LD also applies to other components corresponding to the load LD.

[0015] 1 , a three-phase distribution line HL supplies three-phase AC power to a load LD. The three-phase distribution line HL is drawn from a power distribution system in an electrical installation EE. In the first embodiment, a component including the load LD and the three-phase distribution line HL corresponding to the load is referred to as a load system UN. The load system UN may also be referred to as a load unit. In the example of FIG. 1 , N load systems are illustrated.

[0016] The ZCT 80 detects the zero-phase current flowing in the three-phase distribution line HL. As shown in FIG. 1, the three-phase distribution line HL passes through the ZCT 80 and is connected to a load LD. Therefore, the zero-phase current flowing in the three-phase distribution line HL can be detected by the ZCT 80. In the example of FIG. 1, one ZCT 80 is provided corresponding to one load LD. Therefore, the evaluation system 1 has N ZCTs 80.

[0017] The information processing device 10 evaluates the insulation deterioration state of the load system UN. The information processing device 10 acquires a detected value of the zero-phase current from the ZCT 80. According to the configuration of FIG. 1, the zero-phase current flowing in a certain three-phase distribution line HL is equivalent to the zero-phase current flowing in the load system UN corresponding to the three-phase distribution line HL. Therefore, the information processing device 10 evaluates the insulation deterioration state of the load system UN based on the detected value of the zero-phase current acquired from the ZCT 80.

[0018] When there is an imbalance in the phase currents flowing through the three-phase distribution line HL, a zero-phase current flows through the three-phase distribution line HL. Therefore, the zero-phase current is used as an evaluation index for the state of insulation deterioration of the three-phase distribution line HL. As an example, when the three-phase distribution line HL deteriorates over time, the zero-phase current increases due to the insulation deterioration of the three-phase distribution line HL. As another example, when the three-phase distribution line HL suffers mechanical damage, the zero-phase current increases due to damage to the insulating members of the three-phase distribution line HL.

[0019] As another example, even if the three-phase distribution line HL is healthy, the zero-phase current flowing through the three-phase distribution line HL may increase due to aging or an abnormality (e.g., an accident) of the load LD connected to the three-phase distribution line HL. Therefore, the zero-phase current can also be used as an evaluation index for the insulation deterioration state of the load LD. For this reason, in the first embodiment, the zero-phase current is used as an evaluation index for the insulation deterioration state of the load system UN.

[0020] The information processing device 10 acquires the zero-phase current flowing in the three-phase distribution line HL-i for any i from the ZCT 80-i. In this specification, the zero-phase current flowing in the three-phase distribution line HL-i is represented as Io(i). The information processing device 10 evaluates the insulation deterioration state of the load system UN-i based on Io(i).

[0021] According to the configuration of the first embodiment, the insulation deterioration states of N load systems UN can be individually evaluated by one information processing device 10. For convenience of explanation, the following mainly describes an example of processing in which the information processing device 10 evaluates the insulation deterioration state of one load system UN (e.g., load system UN-1).

[0022] The information processing device 10 in the example of FIG. 1 includes a data processing unit 11 and an evaluation unit 12. The data processing unit 11 acquires the detected value of the zero-phase current from the ZCT 80 and generates time-series data of the detected value of the zero-phase current. The time period during which the data processing unit 11 acquires the detected value of the zero-phase current from the ZCT 80 may be any period. As an example, the data processing unit 11 acquires the detected value of the zero-phase current from the ZCT 80 every second.

[0023] The data processing unit 11 may perform any data processing on the detected value of the zero-phase current obtained as described above, prior to the evaluation processing by the evaluation unit 12. Generally, the zero-phase current often contains noise components. Therefore, the data processing unit 11 may derive an evaluation target value corresponding to the zero-phase current by performing data processing to remove the noise components from the detected value of the zero-phase current.

[0024] In the first embodiment, the data processing unit 11 calculates the average value of the detected values ​​of the zero-phase current over a predetermined period as the evaluation target value. The predetermined period may be set to any length that is considered suitable for noise removal. In the first embodiment, the predetermined period may be set to 10 minutes. In this way, the data processing unit 11 in the first embodiment generates time-series data of a 10-minute moving average of the detected values ​​of the zero-phase current.

[0025] However, it should be noted that data processing to remove noise components from the zero-phase current is not necessarily required. For example, the evaluation unit 12 may perform the evaluation process using the detected value of the zero-phase current by the ZCT 80 as the evaluation target value. In this way, the evaluation target value according to one aspect of the present invention may be the detected value of the zero-phase current by the ZCT 80 itself.

[0026] In the first embodiment, it is assumed that one or more current thresholds are set for the evaluation target value. In this specification, the total number of current thresholds is denoted as M. M may be any natural number. Among the M current thresholds, the j-th current threshold is denoted as the j-th current threshold. j is any natural number greater than or equal to 1 and less than or equal to M.

[0027] In the first embodiment, a case where M is 2 or more is exemplified. That is, a case where multiple current thresholds are set for the evaluation target value is exemplified. In the first embodiment, for any j, the (j+1)th current threshold is set to a value greater than the jth current threshold. That is, as the current threshold number j increases, the current threshold corresponding to that number increases. In this way, the (j+1)th current threshold is associated with insulation deterioration that is more serious than the jth current threshold.

[0028] In the first embodiment, as an example, a case where M=3 will be described. That is, a case where three individual current thresholds, from a first current threshold to a third current threshold, are set will be described. The first current threshold is the minimum current threshold. The second current threshold is the current threshold next largest after the first current threshold. The third current threshold is the current threshold next largest after the second current threshold. The third current threshold in the first embodiment is the maximum current threshold. Therefore, the second current threshold in the first embodiment is an intermediate current threshold.

[0029] According to the findings of the inventors of the present application, when the zero-phase current is about 50 mA or less, the risk of an accident caused by insulation deterioration of the load system UN is considered to be relatively low. On the other hand, when the zero-phase current reaches about 100 mA or more, the risk of an accident caused by insulation deterioration of the load system UN is considered to be somewhat high. In addition, when the zero-phase current reaches about 200 mA or more, the risk of an accident caused by insulation deterioration of the load system UN is considered to be quite high.

[0030] Therefore, each of the M current thresholds in embodiment 1 may be set based on the above findings. As an example, the first current threshold may be 20 mA to 60 mA, the second current threshold may be 60 mA to 120 mA, and the third current threshold may be 120 mA to 300 mA. In embodiment 1, a case where the first current threshold is 50 mA, the second current threshold is 100 mA, and the third current threshold is 200 mA is exemplified.

[0031] By considering not only the evaluation target value but also the length of time during which a relatively large value of the evaluation target value has occurred, the insulation deterioration state of the load system UN can be evaluated in more detail. Therefore, in the first embodiment, the evaluation unit 12 evaluates the insulation deterioration state of the load system UN based on the cumulative value of the time during which the evaluation target value has exceeded the current threshold.

[0032] It is preferable that the evaluation result of the insulation degradation state of the load system UN is presented to the manager of the load system UN as data that is easy for the manager to understand. Therefore, in the first embodiment, the evaluation unit 12 sets a danger level indicating the evaluation result of the insulation degradation state based on a value corresponding to the evaluation target value and a cumulative value of the time during which the evaluation target value exceeds the current threshold. In the first embodiment, the evaluation unit 12 sets the danger level as a discrete value.

[0033] The danger level may be used as an index representing the likelihood (risk) of an accident occurring in the load system UN due to insulation deterioration of the load system UN. As an example, the evaluation unit 12 may output the danger level to a display device (not shown) and cause the display device to display the danger level. This allows the danger level to be visually presented to the manager of the load system UN. The display device may be an internal component of the information processing device 10 or an external component of the information processing device 10.

[0034] To manually evaluate the insulation deterioration state of the load system UN from the time trend of the evaluation target value itself requires specialized knowledge about the load system UN. Therefore, by presenting the risk level, which is the evaluation result of the evaluation unit 12, to the manager as a discrete value, even a manager with little specialized knowledge can easily understand the insulation deterioration state of the load system UN. As a result, for example, the manager can plan maintenance of the load system UN according to the presented risk level.

[0035] In the first embodiment, it is assumed that multiple risk levels can be assigned. In this specification, the total number of risk levels is denoted as L. L may be any natural number equal to or greater than 2. Of the L risk levels, the kth risk level is denoted as the kth level. The kth level may also be denoted as level k. k is a number representing the risk level. k is any natural number equal to or greater than 0 and equal to or less than L-1.

[0036] In the first embodiment, for any k, the (k+1)th level is associated with insulation deterioration that is more serious than the kth level. From this, it can be said that the higher the danger level, the higher the possibility of an accident occurring in the load system UN due to insulation deterioration.

[0037] In the first embodiment, a case where L=4 is exemplified. That is, in the first embodiment, a case where four individual risk levels, from level 0 to level 3, can be assigned is exemplified. Level 0, which is the lowest (minimum) value of the risk levels, is also referred to as the lowest level. Level 0 may also be referred to as the safety level. In the first embodiment, the initial value of the risk level is set to level 0.

[0038] The first level is the next highest danger level after the zeroth level. The second level is the next highest danger level after the first level. The third level is the next highest danger level after the second level. The third level in embodiment 1 is the highest (maximum) danger level. Therefore, the first and second levels in embodiment 1 are intermediate danger levels.

[0039] In the first embodiment, there are cases where both the conditions for setting a certain risk level and the conditions for setting a lower risk level are satisfied. In this case, the evaluation unit 12 performs a determination process by preferentially adopting the conditions for setting a higher risk level, and sets the risk level.

[0040] As an example, even if an evaluation target value exceeds the first current threshold (e.g., 50 mA) described above, if the time period during which the evaluation target value exceeds the first current threshold is relatively short, it is considered that no significant insulation deterioration has yet occurred in the load system UN. Therefore, the evaluation unit 12 calculates the cumulative value of the time during which the evaluation target value exceeds the first current threshold. In this specification, this cumulative value is referred to as the first cumulative value.

[0041] Then, when the first cumulative value is less than the first time threshold, the evaluation unit 12 sets the risk level to Level 0. As an example, the first time threshold may be 1 hour (hr) to 10 hours. In the first embodiment, a case where the first time threshold is 5 hours is illustrated. Therefore, the evaluation unit 12 maintains the risk level at Level 0 until the first cumulative value reaches 5 hours.

[0042] Even if the first cumulative value exceeds the first current threshold, if the first cumulative value is not so large, it is considered that the insulation deterioration of the load system UN is minor. For this reason, in the first embodiment, the evaluation unit 12 increases the danger level to the first level when the first cumulative value is equal to or greater than the first time threshold and less than the second time threshold. Less than the second time threshold may be set to a value greater than the first time threshold. As an example, the second time threshold may be 50 hours to 200 hours. In the first embodiment, a case where the second time threshold is 100 hours is exemplified.

[0043] On the other hand, when the first cumulative value reaches the second time threshold, it is considered that a certain degree of insulation deterioration has occurred in the load system UN. For this reason, in the first embodiment, when the first cumulative value is equal to or greater than the second time threshold, the evaluation unit 12 increases the danger level to the second level.

[0044] Furthermore, when the evaluation target value exceeds the second current threshold (e.g., 100 mA), it is considered that some degree of insulation deterioration has occurred in the load system UN. For this reason, in the first embodiment, the evaluation unit 12 increases the danger level to the second level when the evaluation target value exceeds the second current threshold.

[0045] If the time during which the evaluation target value exceeds the second current threshold becomes long to some extent, it is considered that more serious insulation deterioration has occurred in the load system UN. Therefore, the evaluation unit 12 calculates the cumulative value of the time during which the evaluation target value exceeds the second current threshold. In this specification, this cumulative value is referred to as the second cumulative value. In the first embodiment, if the second cumulative value is equal to or greater than the third time threshold, the evaluation unit 12 increases the danger level to the third level. As an example, the third time threshold may be 1 hour to 10 hours. In the first embodiment, a case where the third time threshold is 5 hours is illustrated.

[0046] Furthermore, when the evaluation target value exceeds a third current threshold (e.g., 200 mA), it is considered that more serious insulation deterioration has occurred in the load system UN. For this reason, in the first embodiment, the evaluation unit 12 increases the danger level to the third level when the evaluation target value exceeds the third current threshold.

[0047] The evaluation unit 12 may calculate a cumulative value of the time during which the evaluation target value exceeds a third current threshold. In this specification, this cumulative value is referred to as a third cumulative value. If a risk level higher than the third level can be assigned, the condition for setting the risk level may be associated with the third cumulative value.

[0048] As described above, the evaluation unit 12 may set a danger level based on which of a plurality of current thresholds the evaluation target value has exceeded and for how long.

[0049] (Examples of healthy cases and accident cases) 2 to 11 show examples of time transitions of various data in the first embodiment. Examples of evaluation results by the information processing device 10 will be described with reference to these figures. In the electrical equipment EE of this example, the zero-phase current is measured by the ZCT 80 over a measurement period from April 1 of one year to October 31 of the following year. Then, the information processing device 10 performs evaluation based on the measurement data of the zero-phase current.

[0050] Figure 2 shows an example of the time progression of the evaluation target value obtained in a healthy load system UN. In this example, a healthy load system UN refers to a load system UN in which no accidents occurred during the entire measurement period. In this specification, the case shown in Figure 2 is also referred to as a "healthy case."

[0051] On the other hand, Fig. 3 shows an example of the time transition of the evaluation object value obtained in the load system UN where an accident occurred. Fig. 3 is a diagram paired with Fig. 2. In this specification, the case according to Fig. 3 is also referred to as an "accident case."

[0052] In this specification, an accident refers to an event that causes an evaluation target value to exceed a predetermined reference value. The predetermined reference value may be, for example, an evaluation target value (e.g., 1000 mA) corresponding to a current value that causes an operation of a protective device (e.g., a breaker, not shown). The protective circuit may be located on a three-phase distribution line HL. For example, if a ground fault or short circuit occurs in the three-phase distribution line HL, an evaluation target value that exceeds the reference value may occur. If a ground fault or short circuit occurs in the load LD, an evaluation target value that exceeds the reference value may also occur. In the example of FIG. 3, an accident occurs near the end of the measurement period.

[0053] The evaluation target value (vertical axis of the graph) in Figures 2 and 3 is a 10-minute moving average of the detected value of the zero-phase current. The evaluation target value in the examples of Figures 2 and 3 is derived by the data processing unit 11. In Figures 2 and 3, the symbol TH1 represents the first current threshold, the symbol TH2 represents the second current threshold, and the symbol TH3 represents the third current threshold.

[0054] 4 to 6 show examples of the time transition of each cumulative value in a healthy case. Meanwhile, FIGS. 7 to 9 show examples of the time transition of each cumulative value in an accident case. FIGS. 7 to 9 are diagrams paired with FIGS. 4 to 6, respectively. Each cumulative value at each time point in the examples of FIGS. 4 to 9 is derived by the evaluation unit 12.

[0055] FIG. 4 shows an example of time series data of the first cumulative value in a healthy case, FIG. 5 shows an example of time series data of the second cumulative value in a healthy case, and FIG. 6 shows an example of time series data of the third cumulative value in a healthy case.

[0056] As shown in Fig. 2 above, in the healthy case, the evaluation target value is below the first current threshold TH1 throughout the entire measurement period. Therefore, as shown in Figs. 4 to 6, in the healthy case, the first to third cumulative values ​​are all 0 throughout the entire measurement period.

[0057] FIG. 7 shows an example of time series data of the first cumulative value in an accident case, FIG. 8 shows an example of time series data of the second cumulative value in an accident case, and FIG. 9 shows an example of time series data of the third cumulative value in an accident case.

[0058] As shown in Figure 3 above, in the accident cases, the evaluation target value tends to increase as time passes. Therefore, in the accident cases, many evaluation target values ​​exceeding the first current threshold TH1 occurred during the measurement period. For this reason, as shown in Figure 7, in the accident cases, the final first cumulative value exceeded 1000 hours. In this way, in the accident cases, first cumulative values ​​exceeding the above-mentioned first time threshold and second time threshold were obtained.

[0059] As shown in Figure 3, the accident case has many peaks of the evaluation target value, unlike the healthy case. Therefore, in the accident case, many evaluation target values ​​exceeding the second current threshold TH2 occur during the measurement period. For this reason, as shown in Figure 8, in the accident case, the final second cumulative value exceeds 500 hours. In this way, in the accident case, a second cumulative value exceeding the above-mentioned third time threshold is obtained.

[0060] Furthermore, as shown in Figure 3, in the accident case, there is a significantly large peak of the evaluation object value around January 26th during the period when the accident occurred. Therefore, in the accident case, there are a relatively large number of evaluation object values ​​that exceed the third current threshold TH3 during the measurement period. For this reason, as shown in Figure 9, in the accident case, the final third cumulative value reaches about 100 hours.

[0061] The peak of the evaluation target value around January 26th is considered to be a precursor to an accident that occurred near the end of the measurement period. The information processing device 10 can present a risk level corresponding to such a precursor to the manager of the load system UN. Therefore, the information processing device 10 contributes to preventing accidents from occurring in the load system UN.

[0062] FIG. 10 shows an example of the time transition of the danger level in a healthy case. On the other hand, FIG. 11 shows an example of the time transition of the danger level in an accident case. FIG. 11 is a diagram paired with FIG. 10. The vertical axis of the graphs in FIGS. 10 to 11 indicates the value of the danger level. The danger level at each time point in the examples of FIGS. 10 to 11 is set by the evaluation unit 12.

[0063] As shown in Fig. 2 above, in the healthy case, the evaluation target value is below the first current threshold TH1 throughout the entire measurement period. Therefore, as shown in Fig. 10, in the healthy case, the danger level remains at level 0 throughout the entire measurement period.

[0064] On the other hand, as shown in FIG. 3 above, in the accident cases, the evaluation target value tends to increase over time. Therefore, in the accident cases, the danger level increases over time. In the example of FIG. 3, an evaluation target value that exceeds the second current threshold TH2 occurs immediately after April 1, the measurement start date. Therefore, in FIG. 10, the danger level increases from level 0 to level 2 at that time.

[0065] In the example of Fig. 3, an evaluation value exceeding the third current threshold TH3 occurs immediately after July 1 of the year that belongs to the measurement start date. Therefore, in Fig. 10, the danger level increases from level 2 to level 3 at that time. After that time, the danger level is maintained at 3.

[0066] (effect) As described above, the technology of Patent Document 1 evaluates the insulation deterioration state of a load system based on the zero-phase current of a distribution line. However, the zero-phase current may be affected by weather conditions (e.g., temperature, humidity, and whether or not there is precipitation). The zero-phase current may also be affected by the contamination state of the load system. For this reason, the zero-phase current does not necessarily have a high correlation with the insulation deterioration state of the load system.

[0067] Therefore, the technology of Patent Document 1 cannot necessarily evaluate the insulation deterioration state of the load system with high accuracy. In particular, the technology of Patent Document 1 is likely to reduce evaluation accuracy when the load system is located outdoors. This is because when the load system is located outdoors, the load system is more susceptible to weather conditions and is more likely to become contaminated than when the load system is located indoors.

[0068] On the other hand, the evaluation system 1 (particularly, the information processing device 10) can evaluate the insulation deterioration state of the load system based on, for example, the cumulative value of the time during which the evaluation object value corresponding to the zero-phase current exceeds each of a plurality of current thresholds. That is, unlike the technology of Patent Document 1, the information processing device 10 can evaluate the insulation deterioration state by taking into more detailed consideration the increasing trend of the evaluation object value over time (in other words, the increasing trend of the zero-phase current over time).

[0069] In addition, as described above, the information processing device 10 can set a danger level based on at least one of (i) the comparison result between the evaluation target value and each of the multiple current thresholds, and (ii) the cumulative value of the time during which the evaluation target value exceeds each of the multiple current thresholds. The danger level is a discrete value that indicates the evaluation result of the insulation degradation state, and is therefore data that is easy for the manager of the load system to understand. As described above, the information processing device 10 can evaluate the insulation degradation state of the load system with higher accuracy than the technology of Patent Document 1.

[0070] The technology itself for detecting some kind of abnormality based on the zero-phase current is known. However, in known technologies, it is common to additionally measure electrical quantities other than the zero-phase current (e.g., zero-phase voltage or power supply voltage) to detect the abnormality. In contrast, the evaluation system 1 can evaluate the insulation deterioration state of the load system based on the zero-phase current without requiring measurement of the above electrical quantities. In this way, the evaluation system 1 can evaluate the insulation deterioration state of the load system based on the zero-phase current with a system configuration simpler than conventional systems.

[0071] In addition, as described above, the information processing device 10 can individually evaluate the insulation deterioration state of each of the N load systems. For this reason, the evaluation system 1 is particularly suitable when N is large. The information processing device 10 can present the risk level for each of the N load systems to the manager of the load systems. This allows the manager to create maintenance plans for a large number of load systems more easily than before.

[0072] [Embodiment 2] (1) Unlike the example of Fig. 1, the information processing device 10 may be located outside the electrical equipment EE. The information processing device 10 may be communicably connected to the ZCT 80 so as to acquire the detected value of the zero-phase current from the ZCT 80.

[0073] Furthermore, the information processing device 10 does not necessarily have to be a single device. For example, the information processing device 10 may be embodied by a first arithmetic unit located inside the electrical equipment EE and a second arithmetic unit located outside the electrical equipment EE. As an example, the first arithmetic unit may have a data processing unit 11, and the second arithmetic unit may have an evaluation unit 12. In this case, it is sufficient that the first arithmetic unit and the second arithmetic unit are connected to each other so that they can communicate with each other.

[0074] (2) As described above, the zero-phase current often contains noise components. Therefore, an arbitrary filter that removes the noise components of the zero-phase current may be provided between the ZCT 80 and the information processing device 10. In this case, the information processing device 10 acquires the value of the zero-phase current after the noise components have been removed by the information processing device.

[0075] (3) The amplitude of the zero-phase current is generally relatively small. Therefore, an optional amplifier that amplifies the amplitude of the zero-phase current may be provided between the ZCT 80 and the information processing device 10. In this case, the information processing device 10 acquires the value of the zero-phase current after being amplified by the amplifier.

[0076] As is clear from the above explanations, both a filter and an amplifier may be provided between the ZCT 80 and the information processing device 10. In this case, the information processing device 10 acquires the value of the zero-phase current after it has been amplified by the amplifier and after noise components have been removed by the filter.

[0077] [Software implementation example] The functions of the evaluation system 1 (hereinafter referred to as the "device" for convenience) can be realized by a program for causing a computer to function as the device, and by a program for causing a computer to function as each control block of the device (particularly each part included in the information processing device 10).

[0078] In this case, the device includes a computer having at least one control device (e.g., a processor) and at least one storage device (e.g., a memory) as hardware for executing the program. The control device and storage device execute the program, thereby realizing the functions described in each of the above embodiments.

[0079] The program may be non-transitory and may be recorded on one or more computer-readable recording media. The recording media may or may not be included in the device. In the latter case, the program may be supplied to the device via any wired or wireless transmission medium.

[0080] In addition, some or all of the functions of the control blocks can be realized by logic circuits. For example, an integrated circuit in which a logic circuit that functions as each of the control blocks is formed is also included in the scope of one aspect of the present invention. In addition, the functions of the control blocks can be realized by, for example, a quantum computer.

[0081] Furthermore, each process described in each of the above embodiments may be executed by AI (Artificial Intelligence). In this case, the AI ​​may run on the control device or on another device (for example, an edge computer or a cloud server).

[0082] 〔summary〕 An information processing device according to a first aspect of the present invention is an information processing device that evaluates an insulation deterioration state of a load system including a load and a three-phase distribution line that supplies three-phase AC power to the load, and obtains a detection value of the zero-phase current from a ZCT (Zero Current Transformer) that detects the zero-phase current flowing in the three-phase distribution line, evaluates the insulation deterioration state based on an evaluation target value corresponding to the detection value, and sets a danger level as a discrete value that indicates the evaluation result of the insulation deterioration state based on at least one of (i) a comparison result between the evaluation target value and each of a plurality of current thresholds, and (ii) a cumulative value of the time during which the evaluation target value exceeds each of the plurality of current thresholds.

[0083] In the information processing device according to the second aspect of the present invention, in the first aspect, the danger level may be set based on which of the plurality of current thresholds the evaluation target value has exceeded and for how long.

[0084] In the information processing device according to the third aspect of the present invention, in the first or second aspect, an average value of the detected values ​​over a predetermined period of time may be calculated as the evaluation target value.

[0085] An information processing method according to a fourth aspect of the present invention is an information processing method for evaluating an insulation deterioration state of a load system including a load and a three-phase distribution line that supplies three-phase AC power to the load, and includes the steps of: acquiring a detection value of the zero-phase current from a ZCT (Zero Current Transformer) that detects the zero-phase current flowing in the three-phase distribution line; evaluating the insulation deterioration state based on an evaluation target value corresponding to the detection value; and setting a danger level as a discrete value that indicates the evaluation result of the insulation deterioration state based on at least one of (i) a comparison result between the evaluation target value and each of a plurality of current thresholds, and (ii) a cumulative value of the time during which the evaluation target value exceeds each of the plurality of current thresholds.

[0086] [Additional Notes] One aspect of the present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of one aspect of the present invention. [Explanation of symbols]

[0087] 1. Rating System 10. Information processing equipment 11 Data processing section 12 Evaluation Section 80 ZCT HL 3 phase distribution line LD load UN load system TH1 First current threshold TH2 Second current threshold TH3 Third current threshold

Claims

1. 1. An information processing device for evaluating an insulation deterioration state of a load system including a load and a three-phase distribution line that supplies three-phase AC power to the load, A detection value of the zero-phase current is obtained from a ZCT (Zero Current Transformer) that detects the zero-phase current flowing in the three-phase distribution line; evaluating the insulation deterioration state based on an evaluation object value corresponding to the detected value; An information processing device that sets a danger level as a discrete value indicating the evaluation result of the insulation deterioration state based on at least one of (i) the comparison result between the evaluation target value and each of a plurality of current thresholds, and (ii) the cumulative value of the time during which the evaluation target value exceeds each of the plurality of current thresholds.

2. The information processing apparatus according to claim 1 , wherein the danger level is set based on which of a plurality of current thresholds the evaluation target value has exceeded and for how long.

3. The information processing apparatus according to claim 1 , wherein an average value of the detected values ​​over a predetermined period is calculated as the evaluation target value.

4. 1. An information processing method for evaluating an insulation deterioration state of a load system including a load and a three-phase distribution line that supplies three-phase AC power to the load, comprising: acquiring a detected value of a zero-phase current from a ZCT (Zero Current Transformer) that detects a zero-phase current flowing in the three-phase distribution line; evaluating the insulation degradation state based on an evaluation object value corresponding to the detected value; and setting a danger level as a discrete value indicating an evaluation result of the insulation degradation state based on at least one of (i) a comparison result between the evaluation target value and each of a plurality of current thresholds, and (ii) a cumulative value of the time during which the evaluation target value exceeds each of the plurality of current thresholds.

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