Power grid monitoring system based on internet of things

Abstract

This invention discloses an Internet of Things (IoT)-based power grid monitoring system, comprising a data acquisition module, a monitoring and management module, and a data storage module. The system is characterized by: the data acquisition module collecting historical electricity consumption data and comprehensive production data from power plants in real time, and inputting the historically processed comprehensive data into the system; the monitoring and management module analyzing the load of power distribution lines, analyzing the impact of the plant's electricity consumption habits and production plans on the load of power distribution lines, adjusting the power supply parameters of the power distribution lines based on the analysis results, and evaluating the importance and priority of data when switching service nodes; and the data storage module caching processes in the failed service node when a server node fails, and encrypting and transmitting the data to the new service node. The data acquisition module, monitoring and management module, and data storage module are interconnected. This invention improves efficiency and accuracy.

Description

Technical Field

[0001] This invention relates to the field of power grid monitoring technology, specifically to a power grid monitoring system based on the Internet of Things. Background Technology

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

[0003] Currently, most power companies still deploy host computers on top of service node clusters to process data. However, when a service node experiences a sudden failure, it cannot process the instructions from the host computer. Existing technologies generally package the data from the service node and transmit it to a new service node for processing. This results in the service node being unable to receive and process data during the data transfer process, waiting for a long time, leading to low processing efficiency and data loss. Moreover, in the power distribution process, due to the many factors affecting the load of transmission lines, existing technologies cannot accurately allocate the load to transmission lines, resulting in power supply imbalances and power system failures. Therefore, it is necessary to design an IoT-based power grid monitoring system that improves efficiency and accuracy. Summary of the Invention

[0004] The purpose of this invention is to provide an Internet of Things-based power grid monitoring system to solve the problems mentioned in the background art.

[0005] To address the aforementioned technical problems, this invention provides the following technical solution: an Internet of Things-based power grid monitoring system, 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 electricity consumption data and comprehensive production data of the power plant in real time, and input the historically processed and recorded comprehensive data into the system; the monitoring and management module is used to analyze the load of the distribution lines, analyze the impact of the plant's electricity consumption habits and production plans on the load of the distribution lines, adjust the power supply parameters of the distribution lines according to the analysis results, and evaluate the importance and priority of data when switching service nodes; the data storage module is used to cache the processes in the failed service node when the 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 interconnected.

[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 equipment to the host computer when the service node fails. The data evaluation submodule is used to analyze the 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 lines. 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 to collect historical electricity consumption data and comprehensive production data of the factory in real time. The sensor module is used to collect power parameters in the power distribution lines in real time. The historical comprehensive data entry module is used to enter the comprehensive data recorded in the past into the system.

[0009] According to the above technical solution, the monitoring and management module includes a node management module, which is used to detect the operating status of service nodes, adjust the service nodes 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. The power supply management module is used to detect the power load of each power distribution line in real time, analyze the impact of the factory's production habits and production plans on the power load of the power distribution lines, match a better power distribution scheme 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 caching module and a data protection module. The process caching module is used to cache the processes being processed when an anomaly occurs at the service node. The data protection module is used to allocate different network layers for encrypted transmission of data 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: Through the data collection module, collect the factory's historical electricity consumption data and comprehensive production data in real time; through the sensor module, collect the power parameters in the power distribution lines in real time; and through the historical comprehensive data entry module, enter the comprehensive data recorded in the historical data into the system.

[0014] Step S2: After data collection is completed, the system starts the power supply management module, examines and analyzes the load of each power distribution line, analyzes the impact of the factory's production habits and production plan on the load of each power distribution line, matches the best power distribution scheme for the factory based on the analysis results, and adjusts the parameters of the power distribution equipment.

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

[0016] Step S4: When a service node malfunctions, the system locks the running processes of the service node and caches them. Based on the analysis results of the data characteristics, the system allocates network layer data for transmission.

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

[0018] Step S21: Obtain power distribution line detection data, identify the current and voltage in the power distribution line, and calculate the three-phase imbalance of the three-phase low-voltage power distribution using the formula. In the formula, P represents the three-phase unbalance of the three-phase low-voltage power distribution, and U1 represents the maximum phase voltage of the three-phase power supply. This represents the average phase voltage of the three-phase power supply. If the three-phase imbalance is greater than the maximum threshold set by the system, the three-phase low-voltage power distribution line is marked as three-phase unbalanced; otherwise, the system continues to detect.

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

[0020] Step S23: When the difference is less than the threshold, the voltage amplitude and corresponding 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 corresponding phase angle of each phase of the three-phase power, the points are marked in the circular vector coordinate system. The marked points are connected to the center of the circle in sequence to construct a three-phase power vector diagram. The three-phase power standard vector diagram in the database is compared and overlapped. 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 vectors is calculated, and the amplitude difference between the corresponding phases is calculated. If the phase angle difference of the corresponding phase vectors is greater than the maximum threshold, the voltage output frequency of that phase is reduced. If the phase angle difference of the corresponding phase vectors is less than the minimum threshold, the voltage output frequency of that 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 that phase is reduced. If the amplitude difference between the corresponding phases is less than the minimum threshold, the voltage output amplitude of that phase is increased.

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

[0022] Step S231: Obtain historical electricity consumption data of the factory, identify the factory's electricity consumption and corresponding timestamps, establish a coordinate system, mark the electricity consumption and corresponding timestamps in the coordinate system, connect the marked points in the coordinate system in sequence, construct the factory's electricity consumption change curve, identify the factory's electricity consumption change characteristics, and retrieve the corresponding power supply mode from 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 corresponding connected phase from 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: Obtain the first control command received by the host computer from the first service node, retrieve the corresponding power distribution equipment control parameters in the database according to the first control command, generate a feedback identifier and transmit it to the host computer, identify the time interval between the first control command and the feedback identifier, if the time interval is greater than the system set threshold, mark the first service node as faulty, otherwise the system continues to detect.

[0026] Step S32: When the first service node fails, the process cache in the first service node is read. If there are incomplete processes in the first service node, they are 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 similarity greater than the 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 data in the first service node according to the sorting 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 instructions from the service node, compare the control instructions with the database, retrieve the number of processing steps of the control instructions in the database, if the number of processing steps of the control instructions is greater than the threshold, then obtain the control instructions processing progress in real time and cache the process in real time.

[0030] Step S42: Obtain cached data from 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, then call the first slice network, construct a virtual transmission link, encapsulate the virtual transmission link, and transmit it encrypted. If the data level is less than the maximum threshold but greater than the minimum threshold, then call the second slice network, construct a virtual transmission link, and transmit it encrypted. Otherwise, call the third slice network for encrypted transmission.

[0031] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: This invention, by calculating the three-phase imbalance, further analyzes the causes of three-phase imbalance in three-phase low-voltage power distribution lines, and uses relays for regulation, can accurately control the load on each phase, thereby avoiding three-phase imbalance and greatly improving system accuracy. By analyzing the differences between the three-phase power vector diagram and the labeled vector diagram, the required compensation parameters for each phase of the three-phase power can be accurately obtained, thus accurately adjusting the three-phase imbalance and further improving system accuracy. By analyzing the factory's electricity consumption characteristics and production plans, the power supply mode of the power distribution equipment and the connection phases of the power consumption equipment can be further adjusted, accurately adjusting the load on each phase in the power distribution line, avoiding uneven load on each phase in the line, which leads to three-phase imbalance, and greatly improving... To ensure system accuracy, by analyzing data priority and data level and allocating sufficient transmission resources, data can be accurately and quickly transmitted from the first service node to the second service node. This avoids the risk of data congestion and data loss during overall transmission, further improving data transmission efficiency. Furthermore, by analyzing data level and data priority, different network slices are allocated for isolation, and different encryption methods are used to encrypt the data, preventing data leakage and significantly improving data security. Attached Figure Description

[0032] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0033] Figure 1 This is a schematic diagram of the system module composition of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Please see Figure 1 This invention provides a technical solution: an Internet of Things-based power grid monitoring system, comprising a data acquisition module, a monitoring and management module, and a data storage module. The data acquisition module is used to collect historical electricity consumption data and comprehensive production data from power plants in real time, and input the historically processed comprehensive data into the system. The monitoring and management module is used to analyze the load of power distribution lines, analyze the impact of the plant's electricity consumption habits and production plans on the load of power distribution lines, adjust the power supply parameters of the power distribution lines based on the analysis results, and evaluate the importance and priority of data when switching service nodes. The data storage module is used to cache 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 interconnected.

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

[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 lines. 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 to collect real-time historical electricity consumption data and comprehensive production data of the factory. The sensor module is used to collect power parameters in the power distribution lines in real time. The historical comprehensive data entry module is used to enter the comprehensive data recorded in the past into the system.

[0039] The monitoring and management module includes a node management module, which is used to detect the operating status of service nodes, adjust the service nodes between the host computer and the power distribution equipment based on 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 monitor 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 scheme based on the analysis results, and adjust the parameters of the power supply equipment.

[0041] The data storage module includes a process caching module and a data protection module. The process caching module is used to cache the processes being processed when an anomaly occurs at the service node. The data protection module is used to assign different network layers to the data for encrypted transmission based on the importance and priority of the data.

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

[0043] Step S1: Through the data collection module, collect the factory's historical electricity consumption data and comprehensive production data in real time; through the sensor module, collect the power parameters in the power distribution lines in real time; and through the historical comprehensive data entry module, enter the comprehensive data recorded in the historical data into the system.

[0044] Step S2: After data collection is completed, the system starts the power supply management module, examines and analyzes the load of each power distribution line, analyzes the impact of the factory's production habits and production plan on the load of each power distribution line, matches the best power distribution scheme for the factory based on the analysis results, and adjusts the parameters of the power distribution equipment.

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

[0046] Step S4: When a service node malfunctions, the system locks the running processes of the service node and caches them. Based on the analysis results of the data characteristics, the system allocates network layer data for transmission.

[0047] Step S2 further includes the following steps:

[0048] Step S21: Obtain power distribution line detection data, identify the current and voltage in the power distribution line, and then...

[0049] P = U1 ×100%

[0050] The formula calculates the three-phase unbalance degree U of the three-phase low-voltage power distribution. In the formula, P represents the three-phase unbalance degree of the three-phase low-voltage power distribution, U1 represents the maximum phase voltage of the three-phase power, and U represents the average phase voltage of the three-phase power. If the three-phase unbalance degree is greater than the maximum threshold set by the system, the three-phase low-voltage power distribution line is marked as three-phase unbalanced. Otherwise, the system continues to detect.

[0051] Step S22: Identify the markings in the line, obtain the load of each phase in the line with the three-phase imbalance marking, 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, when the difference is greater than the system set threshold, identify the load of each device on that phase, select the device with the closest difference, identify the device code, retrieve the code of the connected phase in the database according to the device code, disconnect the relay corresponding to the code of that phase, and connect the phase with the smallest total load at that time. By calculating the three-phase imbalance, further analyze the cause of the three-phase imbalance in the three-phase low-voltage distribution line, and control it through the relay, so as to accurately control the load on each phase, thereby avoiding three-phase imbalance and greatly improving the accuracy of the system.

[0052] Step S23: When the difference is less than the threshold, the voltage amplitude and corresponding phase angle in the three-phase low-voltage distribution line are identified, and a circular vector coordinate system is constructed. Based on the identified voltage amplitude and corresponding phase angle of each phase, marks are made in the circular vector coordinate system. The marked points are then connected to the center of the circle to construct a three-phase power vector diagram. This diagram is compared with the standard three-phase power vector diagram in the database. When the vectors of corresponding phases completely overlap, the system continues detection. When the vectors of corresponding phases cannot completely overlap, the phase angle difference between the corresponding phase vectors is calculated, and the amplitude difference between the corresponding phases is also calculated. If the corresponding... If the phase angle difference of the phase vector is greater than the maximum threshold, the voltage output frequency of that phase is reduced. If the phase angle difference of the corresponding phase vector is less than the minimum threshold, the voltage output frequency of that phase is increased. Otherwise, the system continues to detect. If the amplitude difference between corresponding phases is greater than the maximum threshold, the voltage output amplitude of that phase is reduced. If the amplitude difference between corresponding phases is less than the minimum threshold, the voltage output amplitude of that phase is increased. By analyzing the difference between the three-phase electrical vector diagram and the labeled vector diagram, the required compensation parameters for each phase of the three-phase electrical system can be accurately obtained, thereby accurately adjusting the three-phase imbalance and further improving the accuracy of the system.

[0053] Step S23 further includes the following steps:

[0054] Step S231: Obtain historical electricity consumption data of the factory, identify the factory's electricity consumption and corresponding timestamps, establish a coordinate system, mark the electricity consumption and corresponding timestamps in the coordinate system, connect the marked points in the coordinate system in sequence, construct the factory's electricity consumption change curve, identify the factory's electricity consumption change characteristics, and retrieve the corresponding power supply mode from the database based on the electricity consumption change characteristics.

[0055] 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 corresponding connected phase from 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 production plan, further adjust the power supply mode of the power distribution equipment and the connected phase of the electrical equipment. This can accurately adjust the load of each phase in the power distribution line, avoid the imbalance of the load of each phase in the line, and avoid three-phase imbalance, which greatly improves the accuracy of the system.

[0056] Step S3 further includes the following steps:

[0057] Step S31: Obtain the first control command received by the host computer from the first service node, retrieve the corresponding power distribution equipment control parameters in the database according to the first control command, generate a feedback identifier and transmit it to the host computer, identify the time interval between the first control command and the feedback identifier, if the time interval is greater than the system set threshold, mark the first service node as faulty, otherwise the system continues to detect.

[0058] Step S32: When the first service node fails, the process cache in the first service node is read. If there are incomplete processes in the first service node, they are marked as first priority data; otherwise, the system continues to detect.

[0059] 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 levels with similarity greater than the 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 levels, mark the priority of the data in the first service node according to the sorting 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 data priority and data level, allocate sufficient transmission resources to it, so that 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.

[0060] Step S4 further includes the following steps:

[0061] Step S41: Obtain the control instructions in the service node, compare the control instructions with the database, and retrieve the number of processing steps of the control instructions in the database. If the number of processing steps of the control instructions is greater than the threshold, obtain the processing progress of the control instructions in real time and cache the process in real time. By caching the processing progress of the control instructions in real time, it is possible to avoid the need to reprocess the control instructions after the service node fails and a new service node is replaced, which would waste a lot of time and thus greatly improve the control efficiency.

[0062] Step S42: Obtain cached data from 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, then call the first slice network, construct a virtual transmission link, encapsulate the virtual transmission link, and transmit it encrypted. If the data level is less than the maximum threshold but greater than the minimum threshold, then call the second slice network, construct a virtual transmission link, and transmit it encrypted. Otherwise, call the third slice network for encrypted transmission. By analyzing the data level and data priority, allocating different slice networks for isolation, and using different encryption methods to encrypt the data, data leakage can be avoided, thereby greatly improving data security.

[0063] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0064] 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 foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An Internet of Things-based power grid monitoring system, comprising a data acquisition module, a monitoring management module and a data storage module, characterized in that: The data acquisition module is used to collect historical electricity consumption data and comprehensive production data of the power plant in real time, and input the comprehensive data recorded in the historical processing into the system. The monitoring and management module is used to analyze the load of the power distribution lines, analyze the impact of the factory's electricity consumption habits and production plans on the load of the power distribution lines, adjust the power supply parameters of the power distribution lines 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 the server node fails, and encrypt the data and transmit it to the new service node. The data acquisition module, monitoring and management module and data storage module are interconnected. The monitoring and management module includes a node management module, which is used to detect the operating status of service nodes, adjust the service nodes 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 power distribution line in real time, analyze the impact of the factory's production habits and production plans on the power load of the power distribution lines, match a better power distribution scheme for the factory based on the analysis results, and adjust the parameters of the power supply equipment. 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 equipment to the host computer when the service node fails. The data evaluation submodule is used to analyze the data and evaluate the importance and priority of the data. 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 lines. The power supply regulation submodule is used to adjust the parameters of the distribution transformer. 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 historical electricity consumption data and comprehensive production data of the factory in real time. The sensor module is used to collect power parameters in the power distribution lines in real time. The historical comprehensive data entry module is used to enter the comprehensive data recorded in the past into the system. The data storage module includes a process caching module and a data protection module. The process caching module is used to cache the processes being processed when an anomaly occurs at the service node. The data protection module is used to allocate different network layers for encrypted transmission of data according to the importance and priority of the data. The operation method of the power grid monitoring system mainly includes the following steps: Step S1: Through the data collection module, collect the factory's historical electricity consumption data and comprehensive production data in real time; through the sensor module, collect the power parameters in the power distribution lines in real time; and through the historical comprehensive data entry module, enter the comprehensive data recorded in the historical data into the system. Step S2: After data collection is completed, the system starts the power supply management module to analyze the load of each power distribution line, analyze the impact of the factory's production habits and production plan on the load of each power distribution line, match the best power distribution scheme for the factory based on the analysis results, and adjust the parameters of the power distribution equipment. Step S3: During the process of controlling the power distribution equipment by the host computer, the node management module is started, begins to detect the operating status of the service nodes, switches service nodes according to the analysis results, analyzes data characteristics, and evaluates the importance and priority of the data based on the analysis results; Step S4: When a service node malfunctions, the system locks the running processes of the service node and caches them. Based on the analysis results of the data characteristics, the system allocates network layer access for data transmission. Step S2 further includes the following steps: Step S21: Obtain power distribution line detection data, identify the current and voltage in the power distribution line, and calculate the three-phase imbalance of three-phase low-voltage power distribution by formula , wherein, represents the three-phase imbalance of three-phase low-voltage power distribution, represents the maximum phase voltage of three-phase power, represents the average phase voltage of three-phase power, and compares the database, and if the three-phase imbalance is greater than the system set maximum threshold, marks the three-phase low-voltage power distribution line as three-phase imbalance, otherwise the system continues to detect; Step S22: Identify the markings in the line, obtain the load of each phase in the line with the three-phase imbalance markings, identify the total load of each corresponding 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 with the closest difference, identify the device code, retrieve the code of the connected phase in the database according to the device code, disconnect the relay corresponding to the code of the phase, 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 corresponding 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 corresponding phase angle of each phase of the three-phase power, the points are marked in the circular vector coordinate system. The marked points are connected to the center of the circle in sequence to construct a three-phase power vector diagram. The three-phase power standard vector diagram in the database is compared and overlapped. When the vectors of the corresponding phases are completely overlapped, the system continues to detect. When the vectors of the corresponding phases cannot be completely overlapped, the phase angle difference of the corresponding phase vectors is calculated, and the amplitude difference between the corresponding phases is calculated. If the phase angle difference of the corresponding phase vectors is greater than the maximum threshold, the voltage output frequency of that phase is reduced. If the phase angle difference of the corresponding phase vectors is less than the minimum threshold, the voltage output frequency of that 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 that phase is reduced. If the amplitude difference between the corresponding phases is less than the minimum threshold, the voltage output amplitude of that phase is increased. Step S23 further includes the following steps: Step S231: Obtain historical electricity consumption data of the factory, identify the factory's electricity consumption and corresponding timestamps, establish a coordinate system, mark the electricity consumption and corresponding timestamps in the coordinate system, connect the marked points in the coordinate system in sequence, construct the factory's electricity consumption change curve, identify the factory's electricity consumption change characteristics, and retrieve the corresponding power supply mode from the database based on the electricity consumption change characteristics. 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 corresponding connected phase from the data according to the code of the electrical equipment, and adjust the load balance on each phase. Step S3 further includes the following steps: Step S31: Obtain the first control command received by the host computer from the first service node, retrieve the corresponding power distribution equipment control parameters in the database according to the first control command, generate a feedback identifier and transmit it to the host computer, identify the time interval between the first control command and the feedback identifier, if the time interval is greater than the system set threshold, mark the first service node as faulty, otherwise the system continues to detect. Step S32: When the first service node fails, the process cache in the first service node is read. If there are incomplete processes in the first service node, they are 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 similarity greater than the 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 data in the first service node according to the sorting 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.

2. The IoT based power grid monitoring system as claimed in claim 1 wherein: Step S4 further includes the following steps: Step S41: Obtain the control instructions from the service node, compare the control instructions with the database, retrieve the number of processing steps of the control instructions in the database, if the number of processing steps of the control instructions is greater than the threshold, then obtain the control instructions processing progress in real time and cache the process in real time. Step S42: Obtain cached data from 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, then call the first slice network, construct a virtual transmission link, encapsulate the virtual transmission link, and transmit it encrypted. If the data level is less than the maximum threshold but greater than the minimum threshold, then call the second slice network, construct a virtual transmission link, and transmit it encrypted. Otherwise, call the third slice network for encrypted transmission.

Images