Power grid monitoring system based on Internet of Things

Abstract

The invention discloses a power grid monitoring system based on the Internet of Things, which comprises a data acquisition module, a monitoring management module and a data storage module, and is characterized in that the data acquisition module is used for collecting historical power consumption data of an electric factory and comprehensive production data of the factory in real time, and inputting the comprehensive data of historical processing records into the system; the monitoring management module is used for analyzing the load of the distribution line, analyzing the influence of the power utilization habit and the production plan of a factory on the load of the distribution line, adjusting the power supply parameters of the distribution line according to the analysis result, and evaluating the importance degree and the priority of the data when the service node is switched. The data storage module is used for caching a process in a fault service node when the server node has a fault and encrypting and transmitting data to a new service node, and the data acquisition module, the monitoring management module and the data storage module are in communication connection with one another.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid monitoring, and in particular to a power grid monitoring system based on the Internet of Things. Background Art

[0002] With the rapid development of Internet technology, the monitoring method of power systems is no longer centralized monitoring. Distributed edge service node clusters are gradually adopted for deployment and detection to realize intelligent monitoring of power systems.

[0003] At present, most power companies still use the method of deploying host computers on service node clusters to process data. However, when a sudden failure occurs in the service node, the host computer's instructions cannot be processed. The existing technology generally packages the data of the service node and transmits it to the new service node for processing, resulting in the service node being unable to receive and process data during the data transfer process, waiting for a long time, resulting in low processing efficiency and data loss. Moreover, in the power distribution process, due to the many factors affecting the load of the transmission line, the existing technology cannot accurately distribute the load to the transmission line, resulting in power supply imbalance and power system failure. Therefore, it is very necessary to design an IoT-based power grid monitoring system to improve efficiency and accuracy. Summary of the Invention

[0004] The purpose of the present invention is to provide a power grid monitoring system based on the Internet of Things to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a power grid monitoring system based on the Internet of Things, comprising a data acquisition module, a monitoring and management module and a data storage module, characterized in that: the data acquisition module is used to collect historical power consumption data of the power plant and the comprehensive production data of the plant in real time, and enter the comprehensive data of the historical processing records into the system; the monitoring and management module is used to analyze the load of the distribution line, analyze the impact of the plant's power consumption habits and production plans on the load of the distribution line, adjust the power supply parameters of the distribution line according to the analysis results, and evaluate the importance and priority of the data when switching service nodes; the data storage module is used to cache the processes in the failed service node when a server node fails, and encrypt and transmit the data to the new service node; the data acquisition module, the monitoring and management module and the data storage module are communicatively connected to each other;

[0006] The node management module includes a node adjustment submodule and a data evaluation submodule. The node adjustment submodule is used to switch the service node of the control device for the host computer when a service node fails. The data evaluation submodule is used to analyze data and evaluate the importance and priority of the data.

[0007] The power supply management module includes a load detection submodule, a power consumption analysis submodule and a power supply regulation submodule. The load detection submodule is used to analyze the power load on each distribution line in real time. The power consumption analysis submodule is used to analyze the impact of the factory's power consumption habits and production plans on the power load on the distribution line. The power supply regulation submodule is used to adjust the parameters of the distribution transformer.

[0008] According to the above technical solution, the data acquisition module includes a data collection module, a sensor module and a historical comprehensive data entry module. The data collection module is used for the real-time historical electricity consumption data of the factory and the comprehensive production data of the factory. The sensor module is used to collect the power parameters in the distribution line in real time. The historical comprehensive data entry module is used to enter the comprehensive data of historical processing records into the system.

[0009] According to the above technical solution, the monitoring management module includes a node management module, which is used to detect the operating status of the service node, adjust the service node between the host computer and the power distribution equipment according to the analysis results, analyze data characteristics, and evaluate the importance and priority of the data.

[0010] According to the above technical solution, the monitoring and management module also includes a power supply management module, which is used to detect the power load of each distribution line in real time, analyze the impact of the factory's production habits and production plans on the power load of the distribution lines, match a better power distribution plan for the factory based on the analysis results, and adjust the parameters of the power supply equipment.

[0011] According to the above technical solution, the data storage module includes a process cache module and a data protection module. The process cache module is used to cache the data being processed when an abnormality occurs in the service node. The data protection module is used to assign different network layers to the data for encrypted transmission according to the importance and priority of the data.

[0012] According to the above technical solution, the operation method of the power grid monitoring system mainly includes the following steps:

[0013] Step S1: The data collection module collects the factory's historical electricity consumption data and comprehensive production data in real time, the sensor module collects the power parameters in the distribution line in real time, and the historical comprehensive data entry module records the comprehensive data of historical processing into the system;

[0014] Step S2: After data collection is completed, the system starts the power supply management module to examine and analyze the load of each distribution line, analyze the impact of the factory's production habits and production plans on the load of each distribution line, match the factory with the best power distribution plan based on the analysis results, and adjust the parameters of the distribution equipment;

[0015] Step S3: During the process of the upper computer controlling the power distribution equipment, the node management module starts to detect the operating status of the service node, switches the service node according to the analysis results, analyzes the data characteristics, and evaluates the importance and priority of the data based on the analysis results;

[0016] Step S4: When an abnormality occurs in a service node, the system locks the process running in the service node and caches it, and allocates a network layer for data transmission based on the analysis results of the data characteristics.

[0017] According to the above technical solution, step S2 further includes the following steps:

[0018] Step S21: Obtain distribution line detection data, identify the current and voltage in the distribution line, and calculate the three-phase imbalance of the three-phase low-voltage distribution by the formula In the formula, P represents the three-phase unbalance of three-phase low-voltage power distribution, U1 represents the maximum phase voltage of three-phase power, Indicates the average phase voltage of the three-phase power. Compared with the database, if the three-phase imbalance is greater than the maximum threshold set by the system, the three-phase low-voltage distribution line will be marked as three-phase unbalanced. Otherwise, the system will continue to detect.

[0019] Step S22: Identify the mark in the line, obtain the load of each phase in the line with the three-phase imbalance mark, identify the total load of each phase in the three-phase transmission line, calculate the difference between the total load of each phase and the average load, and when the difference is greater than the system-set threshold, identify the load of each device on the phase, select the device closest to the difference, identify the device code, retrieve the code of the phase connected at this time from the database based on the device code, disconnect the relay corresponding to the phase code, and connect the phase with the smallest total load at this time;

[0020] Step S23: When the difference is less than the threshold, the voltage amplitude and the corresponding electrical phase angle in the three-phase low-voltage distribution line are identified, and a circular vector coordinate system is constructed. According to the identified voltage amplitude and the corresponding electrical phase angle of each phase of the three-phase electricity, they are marked in the circular vector coordinate system, and the marked points are connected with the center of the circle in sequence to construct a three-phase electrical vector diagram, which is overlapped and compared with the three-phase electrical standard vector diagram in the database. When the vectors of the corresponding phases completely overlap, the system continues to detect. When the vectors of the corresponding phases cannot completely overlap, the phase angle difference of the corresponding phase vector is calculated, and the amplitude difference between the corresponding phases is calculated. If the phase angle difference of the corresponding phase vector is greater than the maximum threshold, the voltage output frequency of the phase is reduced. If the phase angle difference of the corresponding phase vector is less than the minimum threshold, the voltage output frequency of the phase is increased. Otherwise, the system continues to detect. If the amplitude difference between the corresponding phases is greater than the maximum threshold, the voltage output amplitude of the phase is reduced. If the amplitude difference between the corresponding phases is less than the minimum threshold, the voltage output amplitude of the phase is increased.

[0021] According to the above technical solution, step S23 further includes the following steps:

[0022] Step S231: Obtain the factory's historical electricity consumption data, identify the factory's electricity consumption and corresponding timestamps, establish a coordinate system, mark the electricity consumption and corresponding timestamps in the coordinate system, sequentially connect the marked points in the coordinate system, construct a factory electricity consumption change curve, identify the factory electricity consumption change characteristics, and retrieve the corresponding power supply mode in the database based on the electricity consumption change characteristics;

[0023] Step S232: Obtain the factory's production plan, retrieve the corresponding electrical equipment according to the factory's production plan, identify the code of each electrical equipment, retrieve the corresponding power load and the corresponding connection phase in the data according to the code of the electrical equipment, and adjust the load balance on each phase.

[0024] According to the above technical solution, step S3 further includes the following steps:

[0025] Step S31: Obtaining a first control instruction from a host computer received by the first service node, retrieving corresponding control parameters of the power distribution equipment in a database according to the first control instruction, generating a feedback identifier and transmitting it to the host computer, identifying the time interval between the first control instruction and the feedback identifier, and marking the first service node as faulty if the time interval is greater than a system-set threshold; otherwise, the system continues detection;

[0026] Step S32: When the first service node fails, the process cache in the first service node is read. If there is an unfinished process in the first service node, it is marked as first priority data. Otherwise, the system continues to detect.

[0027] Step S33: Read the cached data in the first service node, identify the data features in the first service node, compare with the database, retrieve the data feature level with a similarity greater than a threshold to mark the data in the first service node, sort the data in the first service node in ascending order according to the data feature level, mark the priority of the first service node data according to the arrangement order, obtain the data features of the first service node, compare with the database, and retrieve the data level corresponding to the data features in the database.

[0028] According to the above technical solution, step S4 further includes the following steps:

[0029] Step S41: Obtain the control instruction from the service node, compare the control instruction with the database, and retrieve the number of processing steps of the control instruction in the database. If the number of processing steps of the control instruction is greater than a threshold, obtain the control instruction processing progress in real time and cache the process in real time;

[0030] Step S42: Obtain the cached data in the first service node, identify the priority of the cached data, transmit the data according to the priority of the cached data, identify the data level of the cached data, if the data level is greater than the maximum threshold, call the first slice network, build a virtual transmission link, encapsulate the virtual transmission link, and perform encrypted transmission; if the data level is less than the maximum threshold and greater than the minimum threshold, call the second slice network, build a virtual transmission link for encrypted transmission, otherwise call the third slice network for encrypted transmission.

[0031] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention calculates the three-phase imbalance, further analyzes the cause of the three-phase imbalance of the three-phase low-voltage distribution line, and regulates it through relays, which can accurately control the load on each phase, thereby avoiding three-phase imbalance and greatly improving the accuracy of the system; by analyzing the difference between the three-phase electric vector diagram and the marked vector diagram, the compensation parameters required for each phase of the three-phase electricity can be accurately obtained, and then the three-phase imbalance can be accurately adjusted, further improving the accuracy of the system; by analyzing the power consumption characteristics and production plans of the factory, the power supply mode of the distribution equipment and the connection phase of the power equipment can be further adjusted, and the load of each phase in the distribution line can be accurately adjusted to avoid the imbalance of the load of each phase in the line, resulting in three-phase imbalance, greatly improving The accuracy of the system is improved. By analyzing the priority and data level of the data and allocating sufficient transmission resources thereto, the data can be accurately and quickly transmitted from the first service node to the second service node, avoiding the risk of data congestion and data loss in the overall transmission, and further improving the data transmission efficiency. By analyzing the priority and data level of the data and allocating sufficient transmission resources thereto, the data can be accurately and quickly transmitted from the first service node to the second service node, avoiding the risk of data congestion and data loss in the overall transmission, and further improving the data transmission efficiency. By analyzing the data level and data priority of the data, different slice networks are allocated for isolation, and the data is encrypted using different encryption methods, which can avoid data leakage and greatly improve the security of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0033] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0035] See also Figure 1 The present invention provides a technical solution: a power grid monitoring system based on the Internet of Things, including a data acquisition module, a monitoring and management module, and a data storage module, characterized in that: the data acquisition module is used to collect historical power consumption data of the power plant and comprehensive production data of the plant in real time, and enter the comprehensive data of historical processing records into the system; the monitoring and management module is used to analyze the load of the distribution line, analyze the impact of the factory's power consumption habits and production plans on the load of the distribution line, adjust the power supply parameters of the distribution line according to the analysis results, evaluate the importance and priority of the data when switching service nodes, and the data storage module is used to cache the process in the failed service node when a server node fails, and encrypt and transmit the data to the new service node; the data acquisition module, the monitoring and management module, and the data storage module are communicatively connected to each other;

[0036] The node management module includes a node adjustment submodule and a data evaluation submodule. The node adjustment submodule is used to switch the service node of the control device for the host computer when a service node fails. The data evaluation submodule is used to analyze data and evaluate the importance and priority of the data.

[0037] The power supply management module includes a load detection submodule, a power consumption analysis submodule and a power supply regulation submodule. The load detection submodule is used to analyze the power load on each distribution line in real time. The power consumption analysis submodule is used to analyze the impact of the factory's power consumption habits and production plans on the power load on the distribution line. The power supply regulation submodule is used to adjust the parameters of the distribution transformer.

[0038] The data acquisition module includes a data collection module, a sensor module and a historical comprehensive data entry module. The data collection module is used for the real-time historical power consumption data of the factory and the comprehensive production data of the factory. The sensor module is used to collect the power parameters in the distribution line in real time. The historical comprehensive data entry module is used to enter the comprehensive data of historical processing records into the system.

[0039] The monitoring and management module includes a node management module, which is used to detect the operating status of the service node, adjust the service node between the host computer and the power distribution equipment according to the analysis results, analyze data characteristics, and evaluate the importance and priority of the data.

[0040] The monitoring and management module also includes a power supply management module, which is used to detect the power load of each distribution line in real time, analyze the impact of the factory's production habits and production plans on the power load of the distribution lines, match the factory with a better power distribution plan based on the analysis results, and adjust the parameters of the power supply equipment.

[0041] The data storage module includes a process cache module and a data protection module. The process cache module is used to cache the data being processed when an exception occurs in the service node. The data protection module is used to allocate different network layers to the data for encrypted transmission according to the importance and priority of the data.

[0042] The operation method of the power grid monitoring system mainly includes the following steps:

[0043] Step S1: The data collection module collects the factory's historical electricity consumption data and comprehensive production data in real time, the sensor module collects the power parameters in the distribution line in real time, and the historical comprehensive data entry module records the comprehensive data of historical processing into the system;

[0044] Step S2: After data collection is completed, the system starts the power supply management module to examine and analyze the load of each distribution line, analyze the impact of the factory's production habits and production plans on the load of each distribution line, match the factory with the best power distribution plan based on the analysis results, and adjust the parameters of the distribution equipment;

[0045] Step S3: During the process of the upper computer controlling the power distribution equipment, the node management module starts to detect the operating status of the service node, switches the service node according to the analysis results, analyzes the data characteristics, and evaluates the importance and priority of the data based on the analysis results;

[0046] Step S4: When an abnormality occurs in a service node, the system locks the process running in the service node and caches it, and allocates a network layer for data transmission based on the analysis results of the data characteristics.

[0047] Step S2 further includes the following steps:

[0048] Step S21: Obtain distribution line detection data, identify the current and voltage in the distribution line, and calculate the three-phase imbalance of the three-phase low-voltage distribution by the formula In the formula, P represents the three-phase unbalance of three-phase low-voltage power distribution, U1 represents the maximum phase voltage of three-phase power, Indicates the average phase voltage of the three-phase power. Compared with the database, if the three-phase imbalance is greater than the maximum threshold set by the system, the three-phase low-voltage distribution line will be marked as three-phase unbalanced. Otherwise, the system will continue to detect.

[0049] Step S22: Identify the mark in the line, obtain the load of each phase in the line with the three-phase imbalance mark, identify the total load of each phase corresponding to the three-phase transmission line, calculate the difference between the total load of each phase and the average load, and when the difference is greater than the system-set threshold, identify the load of each device on the phase, select the device closest to the difference, identify the device code, retrieve the code of the phase connected at this time from the database according to the device code, disconnect the relay corresponding to the phase code, and connect the phase with the smallest total load at this time. By calculating the three-phase imbalance, further analyze the cause of the three-phase imbalance of the three-phase low-voltage distribution line, and control it through the relay, it is possible to accurately control the load on each phase, thereby avoiding three-phase imbalance and greatly improving the accuracy of the system;

[0050] Step S23: When the difference is less than the threshold, the voltage amplitude and the corresponding electrical phase angle in the three-phase low-voltage distribution line are identified, and a circular vector coordinate system is constructed. According to the voltage amplitude and the corresponding electrical phase angle of each phase of the three-phase electricity, the circular vector coordinate system is marked, and the marked points are connected with the center of the circle in sequence to construct a three-phase electrical vector diagram. The three-phase electrical standard vector diagram in the database is overlapped and compared. When the vectors of the corresponding phases completely coincide, the system continues to detect. When the vectors of the corresponding phases cannot completely coincide, the phase angle difference of the corresponding phase vectors is calculated, and the amplitude difference between the corresponding phases is calculated. If the corresponding If the phase angle difference of the phase vector is greater than the maximum threshold, the voltage output frequency of the phase is reduced. If the corresponding phase vector phase angle difference is less than the minimum threshold, the voltage output frequency of the phase is increased. Otherwise, the system continues to detect. If the amplitude difference between the corresponding phases is greater than the maximum threshold, the output amplitude of the voltage of the phase is reduced. If the amplitude difference between the corresponding phases is less than the minimum threshold, the voltage output amplitude of the phase is increased. By analyzing the difference between the three-phase vector diagram and the marked vector diagram, the compensation parameters required for each phase of the three-phase electricity can be accurately obtained, and then the three-phase imbalance can be accurately adjusted, further improving the accuracy of the system.

[0051] Step S23 further includes the following steps:

[0052] Step S231: Obtain the factory's historical electricity consumption data, identify the factory's electricity consumption and corresponding timestamps, establish a coordinate system, mark the electricity consumption and corresponding timestamps in the coordinate system, sequentially connect the marked points in the coordinate system, construct a factory electricity consumption change curve, identify the factory electricity consumption change characteristics, and retrieve the corresponding power supply mode in the database based on the electricity consumption change characteristics;

[0053] Step S232: Obtain the factory's production plan, retrieve the corresponding electrical equipment according to the factory's production plan, identify the code of each electrical equipment, retrieve the corresponding power load and the corresponding connection phase in the data according to the code of the electrical equipment, and adjust the load balance on each phase. By analyzing the factory's power consumption characteristics and the factory's production plan, further adjust the power supply mode of the distribution equipment and the connection phase of the electrical equipment, and accurately adjust the load of each phase in the distribution line to avoid unbalanced loads on each phase in the line, resulting in three-phase imbalance, thereby greatly improving the accuracy of the system.

[0054] Step S3 further includes the following steps:

[0055] Step S31: Obtaining a first control instruction from a host computer received by the first service node, retrieving corresponding control parameters of the power distribution equipment in a database according to the first control instruction, generating a feedback identifier and transmitting it to the host computer, identifying the time interval between the first control instruction and the feedback identifier, and marking the first service node as faulty if the time interval is greater than a system-set threshold; otherwise, the system continues detection;

[0056] Step S32: When the first service node fails, the process cache in the first service node is read. If there is an unfinished process in the first service node, it is marked as first priority data. Otherwise, the system continues to detect.

[0057] Step S33: Read the cached data in the first service node, identify the data features in the first service node, compare with the database, retrieve the data feature level with a similarity greater than a threshold to mark the data in the first service node, sort the data in the first service node in ascending order according to the data feature level, mark the priority of the first service node data according to the arrangement order, obtain the data features of the first service node, compare with the database, retrieve the data level corresponding to the data features in the database, and by analyzing the priority and data level of the data and allocating sufficient transmission resources to it, the data can be accurately and quickly transmitted from the first service node to the second service node, avoiding the risk of data congestion and data loss in the overall transmission, and further improving the data transmission efficiency.

[0058] Step S4 further includes the following steps:

[0059] Step S41: Obtain the control instruction from the service node, compare the control instruction with the database, and retrieve the number of processing steps of the control instruction in the database. If the number of processing steps of the control instruction is greater than a threshold, obtain the control instruction processing progress in real time and cache the process in real time. By caching the control instruction processing progress in real time, it can avoid the need to reprocess the control instruction when replacing a new service node after the service node fails, thereby greatly improving the control efficiency.

[0060] Step S42: Obtain the cached data in the first service node, identify the priority of the cached data, transmit the data according to the priority of the cached data, identify the data level of the cached data, if the data level is greater than the maximum threshold, call the first slice network, build a virtual transmission link, encapsulate the virtual transmission link, and encrypt the transmission; if the data level is less than the maximum threshold and greater than the minimum threshold, call the second slice network, build a virtual transmission link for encrypted transmission, otherwise call the third slice network for encrypted transmission. By analyzing the data level and data priority of the data, allocating different slice networks for isolation, and encrypting the data using different encryption methods, data leakage can be avoided, thereby greatly improving data security.

[0061] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0062] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. The power grid monitoring system based on the Internet of Things includes a data acquisition module, a monitoring management module, and a data storage module, and is characterized by: The data acquisition module is used to collect the power plant's historical electricity consumption data and the plant's comprehensive production data in real time, and enter the comprehensive data of historical processing records into the system. The monitoring and management module is used to analyze the load of the distribution line, analyze the impact of the plant's electricity consumption habits and production plans on the distribution line load, adjust the power supply parameters of the distribution line according to the analysis results, and evaluate the importance and priority of the data when switching service nodes. The data storage module is used to cache the processes in the failed service node when a server node fails, and encrypt and transmit the data to the new service node. The data acquisition module, monitoring and management module, and data storage module are communicatively connected to each other; The monitoring and management module includes a node management module, which is used to detect the operating status of the service node, adjust the service node between the host computer and the power distribution equipment according to the analysis results, analyze data characteristics, and evaluate the importance and priority of the data; The monitoring and management module also includes a power supply management module, which is used to detect the power load of each distribution line in real time, analyze the impact of the factory's production habits and production plans on the power load of the distribution lines, match the factory with a more optimal power distribution plan based on the analysis results, and adjust the parameters of the power supply equipment; The data acquisition module includes a data collection module, a sensor module and a historical comprehensive data entry module. The data collection module is used to collect the factory's historical electricity consumption data and the factory's comprehensive production data in real time. The sensor module is used to collect the power parameters in the distribution line in real time. The historical comprehensive data entry module is used to enter the comprehensive data of historical processing records into the system; The operation method of the power grid monitoring system mainly includes the following steps: Step S1: The data collection module collects the factory's historical electricity consumption data and comprehensive production data in real time, the sensor module collects the power parameters in the distribution line in real time, and the historical comprehensive data entry module records the comprehensive data of historical processing into the system; Step S2: After data collection is complete, the system activates the power supply management module and begins analyzing the load of each distribution line. It analyzes the impact of the factory's production habits and production plans on the load of each distribution line. Based on the analysis results, it matches the factory with the optimal power distribution plan and adjusts the parameters of the power distribution equipment. Step S3: During the process of the upper computer controlling the power distribution equipment, the node management module starts to detect the operating status of the service node, switches the service node according to the analysis results, analyzes the data characteristics, and evaluates the importance and priority of the data based on the analysis results; Step S4: When an exception occurs in a service node, the system locks the process running in the service node and caches it. Based on the analysis results of the data characteristics, the system allocates a network layer for data transmission. The step S2 further comprises the following steps: Step S21: Obtain distribution line detection data, identify the current and voltage in the distribution line, and calculate the three-phase imbalance of the three-phase low-voltage distribution by the formula In the formula, P represents the three-phase unbalance of three-phase low-voltage power distribution, U1 represents the maximum phase voltage of three-phase power, Indicates the average phase voltage of the three-phase power. Compared with the database, if the three-phase imbalance is greater than the maximum threshold set by the system, the three-phase low-voltage distribution line will be marked as three-phase unbalanced. Otherwise, the system will continue to detect. Step S22: Identify the mark in the line, obtain the load of each phase in the line with the three-phase imbalance mark, identify the total load of each phase in the three-phase transmission line, calculate the difference between the total load of each phase and the average load, and when the difference is greater than the system-set threshold, identify the load of each device on the corresponding phase, select the device closest to the difference, identify the device code, retrieve the code of the phase connected at this time from the database based on the device code, disconnect the relay corresponding to the phase code, and connect the phase with the smallest total load at this time; Step S23: When the difference is less than the threshold, the voltage amplitude and the corresponding electrical phase angle in the three-phase low-voltage distribution line are identified, and a circular vector coordinate system is constructed. According to the identified voltage amplitude and the corresponding electrical phase angle of each phase of the three-phase electricity, they are marked in the circular vector coordinate system, and the marked points are connected with the center of the circle in sequence to construct a three-phase electrical vector diagram, which is overlapped and compared with the three-phase electrical standard vector diagram in the database. When the vectors of the corresponding phases completely overlap, the system continues to detect. When the vectors of the corresponding phases cannot completely overlap, the phase angle difference of the corresponding phase vector is calculated, and the amplitude difference between the corresponding phases is calculated. If the phase angle difference of the corresponding phase vector is greater than the maximum threshold, the voltage output frequency of the phase is reduced. If the phase angle difference of the corresponding phase vector is less than the minimum threshold, the voltage output frequency of the phase is increased. Otherwise, the system continues to detect. If the amplitude difference between the corresponding phases is greater than the maximum threshold, the voltage output amplitude of the phase is reduced. If the amplitude difference between the corresponding phases is less than the minimum threshold, the voltage output amplitude of the phase is increased. The step S23 further includes the following steps: Step S231: Obtain the factory's historical electricity consumption data, identify the factory's electricity consumption and corresponding timestamps, establish a coordinate system, mark the electricity consumption and corresponding timestamps in the coordinate system, sequentially connect the marked points in the coordinate system, construct a factory electricity consumption change curve, identify the factory electricity consumption change characteristics, and retrieve the corresponding power supply mode in the database based on the electricity consumption change characteristics; Step S232: Obtain the factory's production plan, retrieve corresponding electrical equipment according to the factory's production plan, identify the code of each electrical equipment, retrieve the corresponding power load and corresponding connection phase in the data according to the code of the electrical equipment, and adjust the load balance on each phase; The step S3 further comprises the following steps: Step S31: Obtaining a first control instruction from a host computer received by the first service node, retrieving corresponding control parameters of the power distribution equipment in a database according to the first control instruction, generating a feedback identifier and transmitting it to the host computer, identifying the time interval between the first control instruction and the feedback identifier, and marking the first service node as faulty if the time interval is greater than a system-set threshold; otherwise, the system continues detection; Step S32: When the first service node fails, the process cache in the first service node is read. If there is an unfinished process in the first service node, it is marked as first priority data. Otherwise, the system continues to detect. Step S33: Read the cached data in the first service node, identify the data features in the first service node, compare with the database, retrieve the data feature level with a similarity greater than a threshold to mark the data in the first service node, sort the data in the first service node in ascending order according to the data feature level, mark the priority of the first service node data according to the arrangement order, obtain the data features of the first service node, compare with the database, and retrieve the data level corresponding to the data features in the database.

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