A JP cabinet operation abnormal data reporting management system

Abstract

The present invention belongs to the technical field of JP cabinet operation data monitoring, and discloses a JP cabinet operation abnormal data reporting management system, including a monitoring period division module, a power grid operation stability analysis module, a monitoring harmonic abnormality analysis module, a load operation quality analysis module, an electric energy utilization effectiveness analysis module, an electric energy utilization effectiveness correction analysis module and an electric energy utilization abnormality identification module. When judging the abnormal situation of electric energy utilization of the JP cabinet, the present invention performs a threshold correction on the threshold range of the electric energy utilization effectiveness index based on the power grid operation stability, the monitoring harmonic abnormality and the load operation quality, and then judges the abnormal situation of electric energy utilization. This analysis method improves the accuracy and timeliness of the judgment. The present invention analyzes the electric energy utilization effectiveness index of the target equipment in different monitoring periods as a basis for judging the abnormal situation of electric energy utilization, thereby ensuring the stability and reliability of the power supply.

Description

Technical Field

[0001] The invention discloses JP cabinet operation data monitoring, which belongs to the technical field and relates to a JP cabinet operation abnormal data reporting and management system. Background Art

[0002] JP cabinet, also known as JP integrated distribution box or distribution transformer integrated distribution cabinet, is a new type of integrated control box that integrates power distribution, protection, control, and reactive power compensation. As a low-voltage distribution device, the abnormal operation of JP cabinet will have many impacts on the power system and related equipment. If the abnormal operation data of JP cabinet is not managed properly, it will seriously endanger the stable operation of the power system, resulting in low efficiency of troubleshooting and increased equipment safety hazards. Therefore, the research on the reporting management of abnormal operation data of JP cabinet is of great significance.

[0003] In the prior art, there are also related solutions involving JP cabinet abnormal data management. For example, the invention patent application of a distribution room equipment health abnormality diagnosis method and system with Chinese patent number CN117435879A includes collecting data and aggregating them. Real-time statistics of instantaneous node fault duration, adjacent fault time interval, cumulative number of instantaneous faults, cumulative time of grounding faults and cumulative number of overvoltages of the distribution room transformer and the line in the JP cabinet are collected. According to the equipment health calculation method, the health assessment value of the transformer and JP cabinet in the distribution room is formed by comprehensive calculation according to the running time, the deviation degree of the equipment collection quantity of various electrical quantities and the cumulative change of hidden danger data. According to the sudden abnormal alarm method, the result of whether it is abnormal is calculated. According to the cumulative abnormal alarm identification method, according to the failure rate prediction formula, the abnormal alarm result of the failure rate exceeding the standard is obtained. It provides a data-driven early warning method from the two perspectives of sudden abnormality and cumulative abnormality, which changes the unreliability of manual fault identification.

[0004] Although the above scheme proposes some solutions for the abnormal data management of JP cabinets, it still has certain limitations: on the one hand, the existing JP cabinet abnormal data management process only analyzes the operating indicators of the running JP cabinet when identifying the abnormal state, and then handles the abnormal situation. This analysis method does not take into account the influence of external factors, such as power grid fluctuations, load changes, and harmonic conditions. It may be difficult to fully evaluate the operating health of the JP cabinet, reduce the accuracy and reliability of abnormal data extraction or abnormal state judgment, and cannot carry out targeted and effective solutions, resulting in unnecessary shutdown maintenance or waste of resources.

[0005] On the other hand, the existing JP cabinet abnormal data management process usually lacks the identification of abnormal monitoring periods and abnormal operating conditions when further managing abnormal data. This analysis method lacks in-depth identification of abnormal operating conditions and may ignore the change process of equipment from normal to abnormal, which will affect the judgment of the severity of the problem. Inaccurate problem location and handling methods will lead to a waste of human, material and time resources. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a JP cabinet operation abnormal data reporting management system is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: A JP cabinet operation abnormal data reporting management system, including: a monitoring period division module, which is used to divide the monitoring period of a natural day into several monitoring periods.

[0008] The power grid operation stability analysis module is used to record the JP cabinet to be analyzed as the target device, obtain the power grid operation data of the target device in each monitoring period, and analyze the power grid operation stability of the target device in each monitoring period.

[0009] The monitoring harmonic abnormality analysis module is used to obtain the monitoring harmonic data of the target equipment in each monitoring period and analyze the monitoring harmonic abnormality of the target equipment in each monitoring period.

[0010] The load operation quality analysis module is used to obtain the operation load data of the target device in each monitoring period and analyze the load operation quality of the target device in each monitoring period.

[0011] The power utilization effectiveness analysis module is used to analyze the power utilization effectiveness index of the target equipment in each monitoring period.

[0012] The power utilization effectiveness correction analysis module is used to analyze the power utilization effectiveness correction index in each monitoring period based on the grid operation stability of the target equipment in each monitoring period, the monitoring harmonic abnormality and the load operation quality.

[0013] The power utilization anomaly identification module is used to determine whether there is power utilization anomaly based on the power utilization effectiveness index and power utilization effectiveness correction index of the target device in each monitoring period. If so, the specific anomaly direction is identified and feedback is provided.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When judging the abnormal situation of power utilization of the JP cabinet, the present invention corrects the threshold range of the power utilization effectiveness index based on the grid operation stability, monitoring harmonic abnormalities and load operation quality, and then judges the abnormal situation of power utilization. This analysis method can more accurately capture the subtle changes in the power utilization process. This dynamic adaptability improves the accuracy and timeliness of the judgment. By comprehensively considering multiple dimensions such as grid operation stability, harmonic abnormalities and load operation quality, the effectiveness of power utilization is comprehensively evaluated, which helps to discover potential sources of problems.

[0015] (2) When judging the abnormal situation of power utilization of the JP cabinet, the present invention analyzes the power utilization effectiveness index of the target equipment in different monitoring time periods, and then uses it as the basis for judging the abnormal situation of power utilization. This analysis method can reflect the power utilization of the equipment under different operating conditions, so as to more comprehensively evaluate the overall performance of the equipment. The data of a single time period may fluctuate due to various factors, while multi-time period analysis can smooth these fluctuations and reduce misjudgments caused by accidental factors. According to the power utilization of different time periods, the allocation of power resources can be reasonably adjusted to ensure the stability and reliability of power supply during peak hours.

[0016] (3) When there is abnormality in power utilization, the present invention further identifies the specific abnormal direction, which is specifically reflected in the identification of abnormal monitoring time period and abnormal operating status. This analysis method helps operation and maintenance personnel to quickly locate the specific time when the abnormality occurred, reduce troubleshooting time, and improve the efficiency of fault handling. The abnormal operating status identification can clarify the specific performance of the equipment during the abnormal period, thereby more accurately determining the cause of the abnormality, which helps operation and maintenance personnel to formulate targeted treatment measures and quickly restore the normal operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0019] Figure 2 The present invention is a logic flow chart for specific abnormal direction identification and judgment.

[0020] Figure 3 It is a schematic diagram of the specific analysis content of the electric energy utilization effectiveness correction index of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, the present invention provides a JP cabinet operation abnormality data reporting management system, the system includes a monitoring period division module, a power grid operation stability analysis module, a monitoring harmonic abnormality analysis module, a load operation quality analysis module, an electric energy utilization effectiveness analysis module, an electric energy utilization effectiveness correction analysis module and an electric energy utilization abnormality identification module, wherein the monitoring period division module is respectively connected to the power grid operation stability analysis module, the monitoring harmonic abnormality analysis module, the load operation quality analysis module and the electric energy utilization effectiveness analysis module, the power grid operation stability analysis module, the monitoring harmonic abnormality analysis module and the load operation quality analysis module are all connected to the electric energy utilization effectiveness correction analysis module, and the electric energy utilization effectiveness analysis module and the electric energy utilization effectiveness correction analysis module are both connected to the electric energy utilization abnormality identification module.

[0023] The monitoring period division module is used to divide the monitoring period of a natural day into a plurality of monitoring periods.

[0024] Exemplary, specific way to divide the monitoring period: As an equal interval, a natural day is divided into several monitoring periods, specifically: , , , , , .

[0025] The power grid operation stability analysis module is used to record the JP cabinet to be analyzed as the target device, obtain the power grid operation data of the target device in each monitoring period, and analyze the power grid operation stability of the target device in each monitoring period.

[0026] It should be further explained that the power grid operation data includes a voltage stability index and a frequency stability index.

[0027] It needs to be explained that the reasons for choosing the voltage stability index and frequency stability index as the power grid operation data are: 1. The voltage stability index is an important indicator to measure the degree of voltage fluctuation or change in the power system. During the operation of the JP cabinet, the stability of the voltage directly affects the normal operation of the downstream load. Therefore, by monitoring the voltage stability index, the quality of the output voltage of the JP cabinet can be evaluated, and abnormal voltage problems can be discovered and handled in time to prevent damage to the load equipment. 2. The frequency stability index is an important indicator to measure the degree of frequency fluctuation or change in the power system. It reflects the overall operating status of the power grid. Although the JP cabinet, as a distribution equipment, its direct failure may not directly affect the grid frequency, the fluctuation of the grid frequency may affect the normal operation of the JP cabinet and its downstream loads.

[0028] It should be further explained that the analysis of the grid operation stability of the target equipment in each monitoring period requires the construction of a grid operation stability index, and the specific analysis steps are as follows: extract the voltage stability index and frequency stability index of the target equipment in each monitoring period, respectively recorded as , ,in Indicates the number of the monitoring period, , Indicates the number of monitoring periods.

[0029] It should be added that the analysis method of the voltage stability index and frequency stability index of the target equipment is as follows: the input voltage of the target equipment in each monitoring period is obtained in real time by using the electric energy meter, and then the input voltage change curve in each monitoring period is plotted with time as the horizontal axis and input voltage as the vertical axis, and the input voltage change curve in each monitoring period is evenly distributed, and the vertical axis corresponding to each point is calculated by difference with the reference input voltage to obtain the input voltage deviation corresponding to each point, and then the absolute value of the input voltage deviation corresponding to each point is calculated by ratio with the reference input voltage to obtain the input voltage deviation degree corresponding to each point, and then the average is calculated to obtain the average input voltage deviation degree in each monitoring period. , using the formula Analyze and obtain the voltage stability index of the target device .

[0030] The analysis method of the frequency stability index refers to the analysis of the voltage stability index.

[0031] Using the formula Analyze and obtain the grid operation stability index of the target equipment in each monitoring period ,in Represents a natural constant.

[0032] The monitoring harmonic abnormality analysis module is used to obtain the monitoring harmonic data of the target device in each monitoring period and analyze the monitoring harmonic abnormality of the target device in each monitoring period.

[0033] It should be further explained that the monitored harmonic data includes the harmonic voltage content, harmonic voltage content rate and total harmonic voltage distortion rate of each harmonic, and the current harmonic data specifically includes the harmonic current content, harmonic current content rate and total harmonic current distortion rate of each harmonic.

[0034] It is necessary to further explain the impact of voltage harmonics and current harmonics on the operation of JP cabinets: 1. Voltage harmonics will cause additional hysteresis loss and eddy current loss in the transformer core, resulting in increased transformer temperature, affecting insulation performance and reducing service life. Harmonic voltage will also cause increased copper loss in the transformer windings, because harmonic currents generate more heat in the windings than fundamental currents. 2. Harmonic currents will interfere with the normal operation of electronic equipment inside the JP cabinet, such as protection devices, control devices, etc., reducing the performance and reliability of the equipment. For motor loads, harmonic currents may also cause motor vibration, increased noise, reduced efficiency and other problems.

[0035] It needs to be further explained that the reasons for selecting harmonic voltage content, harmonic voltage content rate and total harmonic voltage distortion rate as voltage harmonic data are as follows: 1. By monitoring the harmonic voltage content, the distribution of each harmonic voltage in the system can be understood, and then the nature and location of the harmonic source can be analyzed. This is of great significance for identifying potential harmonic problems and evaluating the impact of harmonics on systems and equipment. 2. The level of harmonic voltage content rate directly reflects the degree of interference of harmonic voltage on the fundamental voltage of the system. High harmonic voltage content rate may cause problems such as equipment overheating, electromagnetic interference, and even equipment damage. 3. The total harmonic voltage distortion rate is an important indicator for evaluating the quality of voltage waveform in power systems. It comprehensively considers the impact of each harmonic voltage on the fundamental voltage, and can fully reflect the degree of distortion of the voltage waveform. High total harmonic voltage distortion rate will not only affect the normal operation of the equipment, but may also cause system instability.

[0036] It should be further explained that the analysis of the abnormal monitoring harmonic conditions of the target equipment in each monitoring period requires the construction of a monitoring harmonic abnormality index, and the specific analysis steps are as follows: extract the harmonic voltage content and harmonic voltage content rate and the total harmonic voltage distortion rate corresponding to each harmonic of the target equipment in each monitoring period, and record them as , , , and then analyze and obtain the monitoring harmonic voltage anomaly index of the target equipment in each monitoring period ,in Indicates the number of the harmonic, , Indicates the number of harmonics.

[0037] It should be noted that the analysis steps of the harmonic voltage content, harmonic voltage content rate and total harmonic voltage distortion rate are as follows: the voltage signal of the JP cabinet and the outgoing line side is detected by the power quality analyzer to obtain the voltage waveform of the target equipment, the fundamental voltage and the voltage amplitude of each harmonic component are extracted from the voltage waveform, and then the effective value of each harmonic voltage and the effective value of the fundamental voltage are obtained, and the voltage amplitude of each harmonic component in each monitoring period is recorded as the voltage content , calculate the ratio of the effective value of each harmonic voltage to the effective value of the fundamental voltage to obtain the harmonic voltage content rate of each harmonic component in each monitoring period , using the formula The total harmonic voltage distortion rate in each monitoring period is obtained by analysis ,in Indicates Monitoring period The harmonic voltage effective value of the subharmonic, Indicates The effective value of the fundamental voltage during the monitoring period.

[0038] Extract the harmonic current content and harmonic current content rate and total harmonic current distortion rate corresponding to each harmonic of the target equipment in each monitoring period, and record them as , , , and then analyze and obtain the abnormal harmonic current index of the target equipment in each monitoring period .

[0039] It needs to be further explained that the specific analysis method and steps of the harmonic current content, harmonic current content rate and total harmonic current distortion rate are the analysis steps of the harmonic voltage content, harmonic voltage content rate and total harmonic voltage distortion rate.

[0040] Using the formula Analyze and obtain the monitoring harmonic anomaly index of the target equipment in each monitoring period ,in Indicates the preset monitoring harmonic voltage abnormality index threshold. Indicates the preset monitoring harmonic current abnormality index threshold.

[0041] It should be further explained that the setting basis of the threshold value of monitoring harmonic voltage abnormal index and the threshold value of monitoring harmonic current abnormal index is: the power system harmonic management complies with the relevant national and industry standards, which stipulate the limit value of harmonic voltage to ensure the safe and stable operation of the power system. Different equipment has different tolerance to harmonic voltage, so when setting the threshold value of harmonic voltage abnormal index, it is necessary to consider the technical specifications and manufacturer requirements of the equipment.

[0042] For example, , .

[0043] It should be further explained that the specific steps of analyzing and obtaining the monitoring harmonic voltage anomaly index of the target equipment in each monitoring period are as follows: extracting the harmonic voltage content corresponding to each harmonic of the target equipment in each monitoring period Harmonic voltage content And the total harmonic voltage distortion rate , using the formula Analyze and obtain the monitoring harmonic voltage anomaly index of the target equipment in each monitoring period ,in Indicates the preset threshold for identifying harmonic voltage content. Indicates the preset threshold for identifying harmonic voltage content.

[0044] For example, , .

[0045] It should be further explained that the specific steps of analyzing and obtaining the abnormal harmonic current index of the target device in each monitoring period are as follows: extracting the harmonic current content corresponding to each harmonic of the target device in each monitoring period Harmonic current content And the total harmonic current distortion rate , using the formula Analyze and obtain the abnormal harmonic current index of the target equipment in each monitoring period ,in Indicates the preset threshold for identifying harmonic current content. Indicates the preset threshold for identifying harmonic current content.

[0046] It needs to be further explained that the basis for setting the threshold for identifying harmonic current content and the threshold for harmonic current content rate is as follows: 1. The setting of the threshold for harmonic current content should first comply with relevant national and industry standards. These standards usually specify the maximum allowable values ​​of harmonic currents under different voltage levels and equipment types to ensure the safe and stable operation of the power system. 2. The system's tolerance to harmonic currents is also an important consideration for setting the threshold for harmonic current content rate. Different systems have different tolerances for harmonic currents, which depends on factors such as the system's structure, capacity, stability, and the characteristics of the connected equipment. Therefore, when setting the threshold for harmonic current content rate, it is necessary to comprehensively consider the system's tolerance for harmonic currents.

[0047] For example, , .

[0048] The load operation quality analysis module is used to obtain the operation load data of the target device in each monitoring period and analyze the load operation quality of the target device in each monitoring period.

[0049] It should be further explained that the operating load data includes load rate, load balance and load stability.

[0050] It is necessary to further explain that the reasons for choosing load rate, load balance and load stability as operating load data are: 1. Load rate refers to the ratio of the load that a device or system is carrying to its rated load, usually expressed as a percentage. It is an important indicator to measure the operating status of a device or system, and can intuitively reflect the load level of the device or system. 2. Load balancing can reduce the risk of single point failures, because even if a resource fails, other resources can continue to process requests, ensuring the continuity and stability of the system. 3. Load stability is one of the key factors to ensure business continuity. In the case of large load fluctuations, the system can still maintain stable performance and service quality, avoiding service interruptions or performance degradation due to load changes.

[0051] It should be further explained that the analysis of the load operation quality of the target device in each monitoring period requires the construction of a load operation quality index, and the specific analysis steps are as follows: extract the load rate, load balance and load stability of the target device in each monitoring period, and record them as , , .

[0052] It needs to be further explained that the analysis steps of the load rate, load balance and load stability are as follows: using an electric energy detection device to obtain the actual output current of the target device, and obtaining the rated maximum output current of the target device, and calculating the ratio of the actual output current of the target device to the rated maximum output current to obtain the load rate.

[0053] The actual output current of the target device and the actual output current of each branch are obtained by using the electric energy detection device, and then the proportions are calculated to obtain the output current proportions of each branch. The output current proportions of each branch are calculated by difference with the preset reference appropriate output proportions to obtain the output current proportion deviations of each branch, and then the absolute values ​​of the output current proportion deviations of each branch are averaged to obtain the load difference, and then the inverse is taken to obtain the load balance degree.

[0054] An electric energy detection device is used to obtain the actual output current of the target equipment in each monitoring period, and then a curve of the actual output current change in each monitoring period is plotted with time as the horizontal axis and the actual output current as the vertical axis. The curve is then evenly distributed to obtain a number of monitoring points, and the actual output current corresponding to each monitoring point is obtained. The actual output current corresponding to each monitoring point is averaged to obtain the monitored output current, and the actual output current corresponding to each monitoring point is differentially calculated from the monitored output current to obtain the actual output current deviation corresponding to each monitoring point. The absolute value of the actual output current deviation corresponding to each monitoring point is ratioed to the monitored output current to obtain the deviation of each monitored output current, and the average is calculated and the inverse is taken to obtain the load stability of each monitoring period.

[0055] Using the formula Analyze and obtain the load operation quality index of the target equipment in each monitoring period ,in Indicates the preset appropriate load balancing threshold. Indicates the preset appropriate load stability threshold.

[0056] For example, , .

[0057] The power utilization effectiveness analysis module is used to analyze the power utilization effectiveness index of the target device in each monitoring period.

[0058] It needs to be further explained that the specific analysis steps of analyzing the electric energy utilization effectiveness index of the target device in each monitoring period are as follows: connecting the power analyzer to the output end of the target device, collecting data on the changes in active power and reactive power over time at the output end in each monitoring period, and then drawing the active power change curve and reactive power change curve of the target device in each monitoring period.

[0059] The active power change curve and reactive power change curve of the target equipment in each monitoring period are compared, and the time in each monitoring period is evenly divided to obtain several monitoring moments, and then the active power and reactive power corresponding to each monitoring moment in each monitoring period are obtained, which are recorded as , ,in Indicates the number of the monitoring time. , Indicates the number of monitoring moments.

[0060] Using the formula Analyze and obtain the power utilization effectiveness index of the target equipment in each monitoring period .

[0061] It needs to be further explained that, when judging the abnormal situation of power utilization of the JP cabinet, the present invention analyzes the power utilization effectiveness index of the target equipment in different monitoring time periods, and then uses it as the basis for judging the abnormal situation of power utilization. This analysis method can reflect the power utilization of the equipment under different operating conditions, so as to more comprehensively evaluate the overall performance of the equipment. The data of a single time period may fluctuate due to various factors, and multi-time period analysis can smooth these fluctuations and reduce misjudgments caused by accidental factors. According to the power utilization of different time periods, the allocation of power resources can be reasonably adjusted to ensure the stability and reliability of power supply during peak hours.

[0062] See also Figure 3 As shown, the power utilization effectiveness correction analysis module is used to analyze the power utilization effectiveness correction index in each monitoring period based on the power grid operation stability of the target equipment in each monitoring period, the monitoring harmonic abnormality and the load operation quality.

[0063] It should be further explained that the specific analysis steps of analyzing the power utilization effectiveness correction index in each monitoring period are as follows: extracting the power grid operation stability index of the target equipment in each monitoring period , monitor the harmonic abnormality index and load operation quality index , using the formula The analysis results show that the correction index of electric energy utilization effectiveness in each monitoring period is obtained. ,in They respectively represent the influence weight factors of the preset power grid operation stability index, monitoring harmonic anomaly index and load operation quality index on the power energy utilization effectiveness correction index.

[0064] It needs to be further explained that the weight factors of the power grid operation stability index, the monitoring harmonic anomaly index and the load operation quality index on the power utilization effectiveness correction index are set based on the following: 1. The stability of the power grid is directly related to the reliability and safety of the power supply. Therefore, when setting the weight factors, the degree of demand for stability of the power grid should be fully considered. For key power grid areas or equipment with extremely high stability requirements, higher weights should be given. 2. Harmonics are common power quality problems in power grids, which can cause equipment heating, vibration, increased noise, and even cause failures. Therefore, when setting the weight factors of the monitoring harmonic anomaly index, the degree of influence of harmonics on the power grid and equipment should be fully considered. 3. Load balance and stability directly affect the operating efficiency and reliability of the power grid. When setting the weight factors, the degree of influence of load balance and stability on the effectiveness of power utilization should be fully considered.

[0065] For example, .

[0066] It needs to be further explained that, when the present invention judges the abnormal situation of power utilization of the JP cabinet, the threshold range of the power utilization effectiveness index is corrected based on the power grid operation stability, monitoring harmonic abnormalities and load operation quality, and then the abnormal situation of power utilization is judged. This analysis method can more accurately capture the subtle changes in the power utilization process. This dynamic adaptability improves the accuracy and timeliness of the judgment. By comprehensively considering multiple dimensions such as power grid operation stability, harmonic abnormalities and load operation quality, the effectiveness of power utilization is comprehensively evaluated, which helps to discover potential sources of problems.

[0067] The power utilization anomaly identification module is used to determine whether there is an abnormal power utilization based on the power utilization effectiveness index and power utilization effectiveness correction index of the target device in each monitoring period. Figure 2 As shown, if any, the specific abnormal direction is identified and feedback is given.

[0068] It needs to be further explained that the specific analysis steps for determining whether there is abnormal power utilization are as follows: extracting the power utilization effectiveness index and the power utilization effectiveness correction index of the target device in each monitoring period.

[0069] The electric energy utilization effectiveness correction index in each monitoring period is compared with the preset reference electric energy utilization effectiveness index threshold to obtain the electric energy utilization effectiveness index threshold range corresponding to each monitoring period.

[0070] It should be supplemented that the analysis method of the electric energy utilization effectiveness index threshold range corresponding to each monitoring time period is as follows: the electric energy utilization effectiveness correction index in each monitoring time period is multiplied by the pre-set reference electric energy utilization effectiveness index threshold to obtain the reference electric energy utilization effectiveness index threshold correction amount, the reference electric energy utilization effectiveness index threshold and the reference electric energy utilization effectiveness index threshold correction amount are summed to obtain the upper limit value of the electric energy utilization effectiveness index threshold range, and the reference electric energy utilization effectiveness index threshold and the reference electric energy utilization effectiveness index threshold correction amount are subtracted to obtain the lower limit value of the electric energy utilization effectiveness index threshold range.

[0071] The average power utilization effectiveness correction index in each monitoring period is calculated by averaging the power utilization effectiveness correction index, which is then compared with the preset reference power utilization effectiveness index threshold to obtain the equipment power utilization effectiveness index threshold range.

[0072] It should be noted that the analysis method of the threshold range of the equipment power utilization effectiveness index refers to the analysis method of the threshold range of the power utilization effectiveness index corresponding to each monitoring period.

[0073] The average power utilization effectiveness index of the target equipment in each monitoring period is calculated by averaging the power utilization effectiveness index.

[0074] The power utilization effectiveness index of the target equipment in each monitoring period is compared with the power utilization effectiveness index threshold range of the corresponding monitoring period. At the same time, the average power utilization effectiveness index is compared with the equipment power utilization effectiveness index threshold range to obtain the judgment result whether there is any abnormal power utilization of the target equipment.

[0075] It should be added that the specific steps of determining whether there is abnormality in power utilization also include: comparing the power utilization effectiveness index of the target device in each monitoring period with the threshold range of the power utilization effectiveness index of the corresponding monitoring period; if the power utilization effectiveness index of the target device in a certain monitoring period is not within the threshold range of the power utilization effectiveness index of the corresponding monitoring period, it is determined that there is abnormality in power utilization in the monitoring period.

[0076] The monitoring periods in which abnormal power utilization is detected are recorded as abnormal periods, and the number of abnormal periods is obtained by counting. The ratio of the number of abnormal periods to the number of monitoring periods is calculated to obtain the proportion of abnormal periods.

[0077] The proportion of abnormal time periods is compared with the pre-set abnormal time period proportion threshold, and the average power utilization effectiveness index is compared with the equipment power utilization effectiveness index threshold range. If the proportion of abnormal time periods is greater than the abnormal time period proportion threshold or the average power utilization effectiveness index is not within the equipment power utilization effectiveness index threshold range, it is judged that there is power utilization abnormality.

[0078] For example, the abnormal period ratio threshold is .

[0079] It needs to be further explained that the specific analysis steps for identifying the specific abnormal direction are as follows: the specific abnormal direction of identification includes abnormal monitoring period identification and abnormal operating state identification, wherein the abnormal operating state includes abnormal grid operation, abnormal monitoring harmonics and abnormal load operation.

[0080] It needs to be further supplemented that the abnormal monitoring period identification includes: comparing the power utilization effectiveness index of the target device in each monitoring period with the power utilization effectiveness index threshold range of the corresponding monitoring period. If the power utilization effectiveness index of the target device in a certain monitoring period is not within the power utilization effectiveness index threshold range of the corresponding monitoring period, it is judged that there is power utilization abnormality in the monitoring period, and the monitoring period is recorded as an abnormal monitoring period.

[0081] It should be noted that the abnormal monitoring period may be one or more.

[0082] It needs to be further supplemented that the abnormal operating state identification includes: extracting the power grid operation stability index, monitoring harmonic anomaly index and load operation quality index of the target equipment in each monitoring period, and then performing mean calculations to obtain the average power grid operation stability index, the average monitoring harmonic anomaly index and the average load operation quality index, and then comparing them with the pre-set reference power grid operation stability index, the reference monitoring harmonic anomaly index and the reference load operation quality index.

[0083] If the average grid operation stability index is less than the reference grid operation stability index, the specific abnormal operation state is abnormal grid operation; if the average monitored harmonic abnormality index is greater than the reference monitored harmonic abnormality index, the specific abnormal operation state is abnormal monitored harmonic; if the average load operation quality index is less than the reference load operation quality index, the specific abnormal operation state is abnormal load operation.

[0084] It should be noted that the abnormal operating state may be one or more of abnormal grid operation, abnormal monitored harmonics, and abnormal load operation.

[0085] It needs to be further supplemented that the present invention further identifies the specific abnormal direction when there is abnormal power utilization, which is specifically reflected in the identification of abnormal monitoring time periods and abnormal operating states. This analysis method helps operation and maintenance personnel to quickly locate the specific time when the abnormality occurred, reduce troubleshooting time, and improve the efficiency of fault handling. Abnormal operating state identification can clarify the specific performance of the equipment during the abnormal period, thereby more accurately judging the cause of the abnormality, which helps operation and maintenance personnel to formulate targeted treatment measures and quickly restore the normal operation of the equipment.

[0086] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A JP cabinet operation abnormal data reporting management system, characterized in that: include: A monitoring period division module is used to divide the monitoring period of a natural day into several monitoring periods; The power grid operation stability analysis module is used to record the JP cabinet to be analyzed as the target device, obtain the power grid operation data of the target device in each monitoring period, and analyze the power grid operation stability of the target device in each monitoring period; The monitoring harmonic abnormality analysis module is used to obtain the monitoring harmonic data of the target equipment in each monitoring period and analyze the monitoring harmonic abnormality of the target equipment in each monitoring period; The load operation quality analysis module is used to obtain the operation load data of the target device in each monitoring period and analyze the load operation quality of the target device in each monitoring period; The power utilization effectiveness analysis module is used to analyze the power utilization effectiveness index of the target equipment in each monitoring period; The power utilization effectiveness correction analysis module is used to analyze the power utilization effectiveness correction index in each monitoring period based on the grid operation stability of the target equipment in each monitoring period, the monitoring harmonic abnormality and the load operation quality; The power utilization anomaly identification module is used to determine whether there is power utilization anomaly based on the power utilization effectiveness index and power utilization effectiveness correction index of the target device in each monitoring period. If there is, the specific anomaly direction is identified and feedback is given; The specific analysis steps of analyzing the electric energy utilization effectiveness correction index in each monitoring period are as follows: Extract the grid operation stability index of the target equipment in each monitoring period , monitor the harmonic abnormality index and load operation quality index , using the formula The analysis results show that the correction index of electric energy utilization effectiveness in each monitoring period is obtained. ,in They respectively represent the influence weight factors of the preset power grid operation stability index, monitoring harmonic anomaly index and load operation quality index on the power energy utilization effectiveness correction index.

2. A JP cabinet operation abnormal data reporting management system as claimed in claim 1, characterized in that: The power grid operation data includes a voltage stability index and a frequency stability index; The monitored harmonic data includes voltage harmonic data and current harmonic data, wherein the voltage harmonic data specifically includes the harmonic voltage content, harmonic voltage content rate and harmonic voltage total distortion rate of each harmonic, and the current harmonic data specifically includes the harmonic current content, harmonic current content rate and harmonic current total distortion rate of each harmonic; The operating load data includes load rate, load balance and load stability.

3. A JP cabinet operation abnormal data reporting management system as claimed in claim 2, characterized in that: The analysis of the grid operation stability of the target equipment in each monitoring period requires the construction of a grid operation stability index, and the specific analysis steps are as follows: Extract the voltage stability index and frequency stability index of the target equipment in each monitoring period and record them as , ,in Indicates the number of the monitoring period, , Indicates the number of monitoring periods; Using the formula Analyze and obtain the grid operation stability index of the target equipment in each monitoring period ,in Represents a natural constant.

4. A JP cabinet operation abnormal data reporting management system as claimed in claim 3, characterized in that: The analysis of the abnormal monitoring harmonics of the target equipment in each monitoring period requires the construction of a monitoring harmonic abnormality index, and the specific analysis steps are as follows: Extract the harmonic voltage content and harmonic voltage content rate and total harmonic voltage distortion rate corresponding to each harmonic of the target equipment in each monitoring period, and record them as , , , and then analyze and obtain the monitoring harmonic voltage anomaly index of the target equipment in each monitoring period ,in Indicates the number of the harmonic, , Indicates the number of harmonics; Extract the harmonic current content and harmonic current content rate and total harmonic current distortion rate corresponding to each harmonic of the target equipment in each monitoring period, and record them as , , , and then analyze and obtain the abnormal harmonic current index of the target equipment in each monitoring period ; Using the formula Analyze and obtain the monitoring harmonic anomaly index of the target equipment in each monitoring period ,in Indicates the preset monitoring harmonic voltage abnormality index threshold. Indicates the preset monitoring harmonic current abnormality index threshold.

5. A JP cabinet operation abnormal data reporting management system as claimed in claim 4, characterized in that: The specific steps of analyzing and obtaining the monitoring harmonic voltage anomaly index of the target equipment in each monitoring period are as follows: Extract the harmonic voltage content corresponding to each harmonic of the target equipment during each monitoring period Harmonic voltage content And the total harmonic voltage distortion rate , using the formula Analyze and obtain the monitoring harmonic voltage anomaly index of the target equipment in each monitoring period ,in Indicates the preset threshold for identifying harmonic voltage content. Indicates the preset threshold value for identifying harmonic voltage content rate; The specific steps of analyzing and obtaining the abnormal harmonic current index of the target equipment in each monitoring period are as follows: Extract the harmonic current content corresponding to each harmonic of the target equipment during each monitoring period Harmonic current content And the total harmonic current distortion rate , using the formula Analyze and obtain the abnormal harmonic current index of the target equipment in each monitoring period ,in Indicates the preset threshold for identifying harmonic current content. Indicates the preset threshold for identifying harmonic current content.

6. A JP cabinet operation abnormal data reporting management system as claimed in claim 4, characterized in that: The analysis of the load operation quality of the target device in each monitoring period requires the construction of a load operation quality index, and the specific analysis steps are as follows: Extract the load rate, load balance and load stability of the target device in each monitoring period and record them as , , ; Using the formula Analyze and obtain the load operation quality index of the target equipment in each monitoring period ,in Indicates the preset appropriate load balancing threshold. Indicates the preset appropriate load stability threshold.

7. A JP cabinet operation abnormal data reporting management system as claimed in claim 1, characterized in that: The specific analysis steps of analyzing the power utilization effectiveness index of the target equipment in each monitoring period are as follows: Connect the power analyzer to the output terminal of the target device, collect the data of active power and reactive power changes over time in each monitoring period of the output terminal, and then draw the active power change curve and reactive power change curve of the target device in each monitoring period; The active power change curve and reactive power change curve of the target equipment in each monitoring period are compared, and the time in each monitoring period is evenly divided to obtain several monitoring moments, and then the active power and reactive power corresponding to each monitoring moment in each monitoring period are obtained, which are recorded as , ,in Indicates the number of the monitoring time. , Indicates the number of monitoring moments; Using the formula Analyze and obtain the power utilization effectiveness index of the target equipment in each monitoring period .

8. A JP cabinet operation abnormal data reporting management system as claimed in claim 1, characterized in that: The specific analysis steps for determining whether there is abnormal power utilization are as follows: Extract the power utilization effectiveness index and power utilization effectiveness correction index of the target equipment in each monitoring period; Compare the electric energy utilization effectiveness correction index in each monitoring period with the preset reference electric energy utilization effectiveness index threshold to obtain the electric energy utilization effectiveness index threshold range corresponding to each monitoring period; The average power utilization effectiveness correction index in each monitoring period is calculated to obtain the average power utilization effectiveness correction index, and then compared with the preset reference power utilization effectiveness index threshold to obtain the equipment power utilization effectiveness index threshold range; The average power utilization effectiveness index of the target equipment in each monitoring period is calculated by averaging to obtain the average power utilization effectiveness index; The power utilization effectiveness index of the target equipment in each monitoring period is compared with the power utilization effectiveness index threshold range of the corresponding monitoring period. At the same time, the average power utilization effectiveness index is compared with the equipment power utilization effectiveness index threshold range to obtain the judgment result whether there is any abnormal power utilization of the target equipment.

9. A JP cabinet operation abnormal data reporting management system as claimed in claim 8, characterized in that: The specific analysis steps for identifying the specific abnormal direction are as follows: The identification of specific abnormalities includes identification of abnormal monitoring period and abnormal operation state, wherein the abnormal operation state includes abnormal operation of power grid, abnormal monitoring harmonics and abnormal load operation.

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