Power Data Management Method and System Based on Industrial Switches

Abstract

The present application provides a power data management method and system based on an industrial switch. The method obtains a power monitoring data sequence at a first time node, obtains power measured data at a second time node, and uses a preset power monitoring data prediction model to perform prediction in combination with historical data to determine power prediction data at the second time node. Then, the above-mentioned monitored and predicted related data is sent to the industrial switch as power monitoring data, so that the industrial switch determines the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and helping to better manage power grid monitoring data.

Description

Technical Field

[0001] This application relates to data processing technologies, and in particular to a power data management method and system based on an industrial switch. Background Art

[0002] In the power industry, power data management is a crucial task, which involves aspects such as real-time monitoring, data collection, analysis, and decision support of power systems.

[0003] With the continuous expansion of the scale of power systems and the increasing complexity of power loads, traditional power data management methods are facing huge challenges, especially in aspects such as efficient data transmission and management. Traditional power data management systems usually adopt fixed monitoring cycles and data transmission strategies, which to a certain extent limit the flexibility and response speed of the systems. Summary of the Invention

[0004] This application provides a power data management method and system based on an industrial switch to solve the technical problem that the static data transmission strategy adopted by existing power data management systems results in low transmission efficiency of key power data.

[0005] In a first aspect, this application provides a power data management method based on an industrial switch, which is applied to a power data management system. The power data management system includes a power data management platform, an industrial switch, and a set of power data monitoring nodes. Each power data monitoring node in the set of power data monitoring nodes is respectively communicatively connected to the industrial switch, and the industrial switch is communicatively connected to the power data management platform. The method includes:

[0006] At a first time node, a power data monitoring node among the power data monitoring nodes obtains a power monitoring data sequence of a monitoring target. The power monitoring data sequence includes first power monitoring data obtained at the first time node and power monitoring data obtained at at least one time node before the first time node;

[0007] The power data monitoring node uses a preset power monitoring data prediction model and determines power prediction data of the monitoring target at a second time node according to the power monitoring data sequence. The second time node is the next time node of the first time node in a preset monitoring cycle of the power data monitoring node;

[0008] At the second time node, the power data monitoring node obtains power measured data of the monitoring target and sends power monitoring data to the industrial switch. The power monitoring data includes the power monitoring data sequence, the power prediction data, and the power measured data;

[0009] The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the measured power data, and the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform.

[0010] In the above solution, by obtaining the power monitoring data sequence at the first time node, obtaining the measured power data at the second time node, and using a preset power monitoring data prediction model to predict in combination with historical data to determine the power prediction data at the second time node, and then sending the above-mentioned monitored and predicted relevant data to the industrial switch as power monitoring data, so that the industrial switch determines the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and helping to better manage the power grid monitoring data.

[0011] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including:

[0012] The power data monitoring node determines the prediction order eigenvalue according to the power monitoring data sequence;

[0013] The power data monitoring node determines the first eigenmatrix and the second eigenvector according to the power monitoring data sequence, so as to determine the prediction weight coefficient eigenvector according to the prediction order eigenvalue, the first eigenmatrix and the second eigenvector;

[0014] The power data monitoring node determines the power prediction data according to the prediction order eigenvalue, the prediction weight coefficient eigenvector and the power monitoring data sequence.

[0015] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including:

[0016] The power data monitoring node uses Formula 1 and determines the prediction order eigenvalue according to the power monitoring data sequence wherein, Formula 1 is:

[0017]

[0017] The power data monitoring node uses Formula 2 and determines the first eigenmatrix and the second eigenvector according to the power monitoring data sequence so as to determine the prediction weight coefficient eigenvector according to the prediction order eigenvalue and the first feature matrix and the second feature vector to determine the prediction weight coefficient feature vector , and the formula 2 is:[[]]

[0018]

[0019] The power data monitoring node uses formula 3 and, according to the prediction order eigenvalue , the prediction weight coefficient feature vector and the power monitoring data sequence to determine the power prediction data , and the formula 3 is:[[]]

[0020]

[0021] where is the th prediction weight coefficient in the prediction weight coefficient feature vector .

[0022] In the above solution, by determining the prediction order eigenvalue, constructing the feature matrix and feature vector, and calculating the prediction weight coefficient feature vector, the prediction model is made more stable and reliable, improving the robustness of the prediction model. Moreover, by using formulas 1, 2, and 3 for calculation, future power data can be predicted more accurately, helping to take measures in advance to cope with changes in power load and increasing the accuracy of the prediction results. In addition, as the monitoring data is updated, the prediction model can also be continuously adjusted to reflect the latest power system state, thus achieving effective update of the power prediction data.

[0023] Specifically, the above formula 1 is used to determine the prediction order eigenvalue based on the power monitoring data sequence. By determining the prediction order eigenvalue, the power data monitoring node can adjust the complexity of the prediction model to make it more suitable for the characteristics of the current power data sequence, thereby improving the adaptability of the prediction model. Moreover, a reasonable prediction order eigenvalue helps to reduce the unnecessary computational burden and optimize resource usage to reduce computational resource consumption. In addition, a suitable prediction order helps to improve the accuracy of the power prediction data, thereby improving the overall performance of the power data management system and facilitating enhancing the accuracy of the prediction.

[0024] The above formula 2 is used to determine the first feature matrix and the second eigenvector based on the power monitoring data sequence, and determine the prediction weight coefficient eigenvector according to this information. By constructing the feature matrix and eigenvector, the stability of the prediction model can be improved, the prediction error caused by data fluctuations can be reduced, and thus the stability of the prediction can be improved. Moreover, the construction of the feature matrix and eigenvector helps to understand the variation law of power data, thereby enhancing the interpretability of the prediction model. In addition, the prediction weight coefficient eigenvector calculated based on the feature matrix and eigenvector can further improve the performance of the prediction model.

[0025] The above formula 3 is used to determine the power prediction data based on the prediction order eigenvalue, the prediction weight coefficient eigenvector, and the power monitoring data sequence. In formula 3, the characteristics of historical data, the prediction order, and the weight coefficient are comprehensively considered, which helps to improve the accuracy of the power prediction data. Moreover, by dynamically adjusting the prediction order eigenvalue and the weight coefficient, it can flexibly adapt to the changes in power data and improve the flexibility of the prediction. Thus, more accurate prediction data helps to optimize the resource allocation of the power system and reduce unnecessary energy waste.

[0026] In summary, formulas 1, 2, and 3 act together on the power data monitoring node. By determining the prediction order eigenvalue, constructing the feature matrix and eigenvector, and calculating the prediction weight coefficient eigenvector, the power prediction data is further determined, thereby improving the prediction accuracy and stability of the power data management system and providing technical support for the efficient operation of the power system.

[0027] Optionally, before sending the power monitoring data to the industrial switch, it further includes:

[0028] The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the measured power data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold; and / or,

[0029] The power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds the second preset data threshold.

[0030] In this solution, by generating an updated power monitoring data sequence and checking whether the number of power monitoring data therein exceeds a threshold, only when the number exceeds the threshold, the power data monitoring node is triggered to send power monitoring data to the industrial switch, thereby avoiding frequent data transmission and causing communication congestion of the industrial switch. In addition, when the number of power monitoring data in the updated power monitoring data sequence does not exceed the threshold, and the power data monitoring node determines that the difference between the power prediction data and the power measured data does not exceed the second preset data threshold, it indicates that the deviation between the power prediction data and the power measured data is small during this period of time. Furthermore, this part of the power monitoring data is normal data, and usually only needs to be backed up on the power data management platform subsequently, without setting a high transmission priority. Therefore, it can be transmitted after determining that the number of power monitoring data therein exceeds the threshold.

[0031] In addition, by comparing whether the difference between the power prediction data and the measured data exceeds a preset threshold, the system can timely detect abnormal situations and make responses, improving the system's fault detection ability.

[0032] Optionally, the power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds the second preset data threshold, including:

[0033] The power data monitoring node determines a first difference between the power prediction data and the power measured data;

[0034] The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or,

[0035] The power data monitoring node obtains a power prediction data sequence of the monitoring target at and before the second time node;

[0036] The power data monitoring node determines a second difference according to the power prediction data sequence, the power monitoring data sequence, and the power measured data;

[0037] The power data monitoring node determines that the second difference is greater than the second preset data threshold.

[0038] Optionally, the power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds the second preset data threshold, including:

[0039] The power data monitoring node uses formula 4 to determine the power prediction data and the power measured data The first difference between , and formula 4 is:

[0040]

[0041] The power data monitoring node determines the first difference to be greater than the second preset data threshold; and / or,

[0042] The power data monitoring node obtains the power prediction data sequence of the monitoring target at and before the second time node ;

[0043] The power data monitoring node uses Formula 5 and determines a second difference based on the power prediction data sequence , the power monitoring data sequence and the power measured data wherein Formula 5 is: The power data monitoring node determines the second difference

[0044]

[0045] to be greater than the second preset data threshold.

[0046] In the above solution, by calculating the difference between the power prediction data and the measured data and comparing it with the preset threshold, the system can identify abnormal situations in a timely manner, thereby enhancing the abnormal detection ability of the system. In addition, by analyzing the power prediction data sequence and the measured data, the system can more accurately judge the operating state of the power system and make decisions accordingly, improving the decision-making accuracy of the system.

[0047] In addition, the first difference between the power prediction data and the power measured data is determined by Formula 4. By comparing the difference between the power prediction data and the measured data, the operating state of the power system can be monitored in real time, and any abnormal situations can be quickly detected, thereby achieving real-time monitoring and abnormal detection. By quantifying the prediction error, the accuracy of the prediction model can be evaluated, and the model parameters can be adjusted according to the actual situation to improve the prediction accuracy. When the first difference exceeds the second preset data threshold, it indicates that there is a large deviation between the prediction and the actual situation. At this time, the quality of the power monitoring data can be improved by increasing the data processing frequency or changing the data processing method. In addition, according to the difference between the prediction and the measured data, the system can automatically adjust its behavior, such as adjusting the monitoring frequency or priority, to adapt to the real-time changes of the power system.

[0048] ​And through Formula 5, the second difference can be determined based on the power prediction data sequence, the power monitoring data sequence, and the actual power data. By comparing the predicted data with the actual data at multiple time points, the changing trend of the power load can be analyzed, and the prediction model can be calibrated according to these trends to improve the accuracy of the prediction. By calculating the second difference, the performance of the power prediction model over a relatively long time period can be evaluated, which is suitable for long-term evaluation. Moreover, the calculation of the second difference can help the system identify and eliminate long-existing abnormal conditions, thereby improving the stability and reliability of the system. In addition, for cases where there are significant differences between the prediction and the actual measurement, the system can decide whether to reallocate resources, such as increasing monitoring nodes or improving the priority of data transmission, according to the magnitude of the second difference.

[0049] Optionally, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the actual power data, including:

[0050] If the industrial switch determines that the first difference is greater than the third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold;

[0051] If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority.

[0052] In the above solution, according to the difference between the power prediction data and the actual measurement data, the industrial switch can automatically adjust the transmission priority of the power monitoring data to achieve intelligent scheduling of data transmission. By setting different transmission priorities, the system can reasonably allocate limited communication bandwidth resources to ensure the timely transmission of key data and effectively optimize the network resource allocation. In addition, by automatically adjusting the transmission priority according to different situations, the system can quickly adapt to different power demands and network conditions, thereby improving the flexibility of the system.

[0053] Optionally, the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, including:

[0054] The industrial switch obtains the current data sequence to be transmitted;

[0055] The industrial switch determines the communication bandwidth for transmitting the power monitoring data between the industrial switch and the power data management platform according to the data sequence to be transmitted and the transmission priority corresponding to the power monitoring data.

[0056] Optionally, the industrial switch obtains the current data sequence to be transmitted , where the data sequence to be transmitted The th data to be transmitted is the power monitoring data;

[0057] The industrial switch uses Formula 6 and determines the communication bandwidth for transmitting the power monitoring data between the industrial switch and the power data management platform according to the data sequence to be transmitted and the transmission priority corresponding to the power monitoring data , and Formula 6 is:

[0058]

[0059] where is the preset minimum bandwidth corresponding to the transmission priority of the power monitoring data being , is the current total bandwidth, is the data sequence to be transmitted The th data to be transmitted corresponding data size.

[0060] In the above solution, by determining the communication bandwidth through Formula 6, the system can manage network resources more effectively, ensure the timely transmission of important data, and thus enhance the bandwidth management ability. By reasonably allocating the communication bandwidth, the data transmission delay can be reduced, the response speed and data processing ability of the system can be improved, and thus the overall performance of the system can be improved. In addition, by dynamically adjusting the communication bandwidth according to the transmission priority, the system can maximize the utilization of existing network resources, and thus effectively optimize the network resource utilization rate.

[0061] Optionally, if it is determined that the number of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data, including:

[0062] The industrial switch determines the lowest transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data.

[0063] In the above solution, the number of power monitoring data in the updated power monitoring data sequence does not exceed the threshold, and the power data monitoring node determines that the difference between the power prediction data and the power measured data also does not exceed the second preset data threshold, indicating that the deviation between the power prediction data and the power measured data is small during this period. Therefore, this part of the power monitoring data is normal data, and usually only needs to be backed up in the power data management platform later, without setting a high transmission priority. Therefore, it can be transmitted after determining that the number of power monitoring data therein exceeds the threshold. By setting the lowest transmission priority, even in the case of a large amount of data influx, while ensuring that the transmission priority of critical data is not affected, it is also possible to transmit the data that needs to be backed up when the network is idle.

[0064] In a second aspect, the present application provides a power data management system, including: a power data management platform, an industrial switch, and a set of power data monitoring nodes. Each power data monitoring node in the set of power data monitoring nodes is respectively communicatively connected to the industrial switch, and the industrial switch is communicatively connected to the power data management platform;

[0065] At a first time node, the power data monitoring node in the power data monitoring nodes obtains a power monitoring data sequence of a monitoring target. The power monitoring data sequence includes first power monitoring data obtained at the first time node and power monitoring data obtained at at least one time node before the first time node;

[0066] The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence. The second time node is the next time node of the first time node in the preset monitoring cycle of the power data monitoring node;

[0067] At the second time node, the power data monitoring node obtains the power measured data of the monitoring target and sends power monitoring data to the industrial switch. The power monitoring data includes the power monitoring data sequence, the power prediction data, and the power measured data;

[0068] The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data. The transmission priority is used to determine the communication link between the industrial switch and the power data management platform.

[0069] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, including:

[0070] The power data monitoring node uses Formula 1 and determines the prediction order eigenvalue according to the power monitoring data sequence where Formula 1 is:

[0071]

[0072] The power data monitoring node uses Formula 2 and determines the first eigenmatrix and the second eigenvector to determine the prediction weight coefficient eigenvector according to the prediction order eigenvalue , the first eigenmatrix and the second eigenvector where Formula 2 is:

[0073] The power data monitoring node uses Formula 3 and determines the power prediction data according to the prediction order eigenvalue , the prediction weight coefficient eigenvector and the power monitoring data sequence where Formula 3 is:

[0074]

[0075] where is the th prediction weight coefficient in the prediction weight coefficient eigenvector .

[0076] Optionally, before sending the power monitoring data to the industrial switch, it further includes:

[0077] The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the measured power data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or

[0078] The power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds a second preset data threshold.

[0079] Optionally, the power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds a second preset data threshold, including:

[0080] ​​​The power data monitoring node uses Formula 4 to determine the power prediction data and the measured power data to obtain a first difference . Formula 4 is as follows:

[0081]

[0082] The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or

[0083] The power data monitoring node obtains a sequence of power prediction data of the monitoring target at and before the second time node ;

[0084] The power data monitoring node uses Formula 5 and, based on the sequence of power prediction data , the sequence of power monitoring data and the measured power data to determine a second difference . Formula 5 is as follows:

[0085]

[0086] The power data monitoring node determines that the second difference is greater than the second preset data threshold.

[0087] Optionally, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the measured power data, including:

[0088] If the industrial switch determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold;

[0089] If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority.

[0090] Optionally, the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, including:

[0091] The industrial switch obtains the current data sequence to be transmitted , where the data sequence to be transmitted The th data to be transmitted is the power monitoring data;

[0092] The industrial switch uses Formula 6 and determines the communication bandwidth for transmitting the power monitoring data between the industrial switch and the power data management platform according to the data sequence to be transmitted and the transmission priority corresponding to the power monitoring data , and Formula 6 is:

[0093]

[0094] where, is the preset minimum bandwidth corresponding to the transmission priority of the power monitoring data being corresponding to, is the current total bandwidth, is the data sequence to be transmitted The th data to be transmitted corresponding data size.

[0095] Optionally, if it is determined that the number of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data, including:

[0096] The industrial switch determines the lowest transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data.

[0097] In a third aspect, the present application provides an electronic device, including:

[0098] A processor; and,

[0099] A memory for storing executable instructions of the processor;

[0100] wherein, the processor is configured to execute any possible method described in the first aspect by executing the executable instructions.

[0101] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement any possible method described in the first aspect.

[0102] The power data management method and system based on an industrial switch provided by this application obtain a power monitoring data sequence at a first time node, obtain power measured data at a second time node, and use a preset power monitoring data prediction model to make a prediction in combination with historical data to determine the power prediction data at the second time node. Then, the above-mentioned monitored and predicted relevant data is sent to the industrial switch as power monitoring data, so that the industrial switch determines the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and helping to better manage power grid monitoring data. Brief Description of the Drawings

[0103] The drawings herein are incorporated into the specification and form a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application.

[0104] Figure 1 is a schematic flowchart of a power data management method based on an industrial switch shown according to an exemplary embodiment of this application;

[0105] Figure 2 is a schematic flowchart of a power data management method based on an industrial switch shown according to another exemplary embodiment of this application;

[0106] Figure 3 is a schematic structural diagram of a power data management system shown according to an exemplary embodiment of this application;

[0107] Figure 4 is a schematic structural diagram of an electronic device shown according to an exemplary embodiment of this application.

[0108] Through the above-mentioned drawings, specific embodiments of this application have been shown, and there will be more detailed descriptions hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of this application in any way, but to illustrate the concept of this application to those skilled in the art by referring to specific embodiments. Detailed Description of the Embodiments

[0109] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. On the contrary, they are merely examples of devices and methods consistent with some aspects of this application as detailed in the appended claims.

[0110] To solve the above problems, a power data management method and system based on an industrial switch provided by this application aim to solve the problems of data prediction accuracy and data transmission efficiency in power data management. By adopting an advanced data prediction model and an intelligent transmission priority mechanism, the present invention can improve the overall performance of the power data management system. To achieve the above object, this application adopts the following technical solutions:

[0111] Power data monitoring node: The power data monitoring node is responsible for collecting real-time monitoring data of the power system and predicting future power data using a preset power monitoring data prediction model. The prediction model determines parameters such as the prediction order eigenvalue, eigenmatrix, eigenvector, and prediction weight coefficient eigenvector through specific formulas.

[0112] Comparison between power prediction and measured data: After obtaining the power measured data, the power data monitoring node will compare it with the power prediction data. The first difference and the second difference are determined through specific formulas and compared with a preset data threshold to judge the accuracy of the power prediction data.

[0113] Determination of transmission priority: The industrial switch determines the transmission priority of the power monitoring data based on the difference between the power prediction data and the measured data. Different transmission priorities determine the bandwidth allocation for data transmission, thereby optimizing the data transmission efficiency.

[0114] Communication bandwidth allocation: According to the transmission priority of the power monitoring data, the industrial switch determines the communication bandwidth using a specific formula to ensure the timely transmission of key data.

[0115] The power data management method based on an industrial switch provided in this embodiment can be applied to a power data management system. The power data management system includes a power data management platform, an industrial switch, and a set of power data monitoring nodes. Each power data monitoring node in the set of power data monitoring nodes is respectively communicatively connected to the industrial switch, and the industrial switch is communicatively connected to the power data management platform.

[0116] Specifically, the power data management platform is the central control unit of the entire system, responsible for receiving, processing, and analyzing data from the power data monitoring nodes, and providing decision support services. The power data management platform may include:

[0117] Data receiving module: Responsible for receiving data from the industrial switch.

[0118] Data processing module: Responsible for cleaning, analyzing, and processing the received data.

[0119] Decision support module: Provides decision support based on the processed data, such as predicting power load and optimizing power dispatch.

[0120] User Interface Module: Provides a graphical user interface for operators to view the power system status, monitoring data, and decision support information.

[0121] In addition, the technical specifications of the above-mentioned power data management platform may include:

[0122] Hardware Configuration: A server cluster with high-speed CPUs, large-capacity memory, and high-performance disk storage.

[0123] Operating System: A customized Linux-based operating system that supports multi-threading and multi-tasking.

[0124] Database System: Uses a relational database management system and a NoSQL database to support large-scale data storage and fast querying.

[0125] For the industrial switch, it is the core communication device in the power data management system, responsible for connecting the power data monitoring nodes to the power data management platform. The industrial switch may include:

[0126] Data Forwarding Module: Forwards data packets based on the source and destination addresses of the data packets.

[0127] Traffic Control Module: Dynamically adjusts the communication bandwidth according to the transmission priority of the power monitoring data.

[0128] Network Management Module: Provides network monitoring and fault diagnosis functions and supports remote maintenance.

[0129] In addition, the technical specifications of the above-mentioned industrial switch may include:

[0130] Hardware Configuration: An industrial-grade switch with a multi-port configuration, supporting Gigabit Ethernet interfaces.

[0131] Network Protocols: Supports common network protocols such as TCP / IP, UDP, and communication protocols specific to the power industry.

[0132] Quality of Service: Supports priority-based data transmission to ensure the timely transmission of critical data.

[0133] For the set of power data monitoring nodes, they are distributed at various key locations in the power system, used to collect power data and send it to the industrial switch. The set of power data monitoring nodes may include:

[0134] Data Acquisition Module: Equipped with sensors and measurement devices for collecting power data such as voltage, current, and power.

[0135] Data Processing Module: It has a built-in microcontroller for processing the collected data, such as performing preliminary data cleaning and format conversion.

[0136] Communication Module: It supports wireless or wired communication methods to establish a communication connection with the industrial switch.

[0137] In addition, the technical specifications of the above-mentioned power data monitoring node set may include:

[0138] Hardware Configuration: An embedded device with a low-power microcontroller, analog / digital converter, wireless communication module, etc.

[0139] Software Configuration: Runs an embedded operating system to support real-time data collection and processing.

[0140] Communication Modes: Supports multiple wireless communication protocols such as Wi-Fi, Zigbee, LoRa, and wired communication methods such as RS-485.

[0141] For the data collection and transmission process of the above-mentioned power data management system, it can be specifically as follows:

[0142] Data Collection: The power data monitoring node collects power monitoring data at the first time node.

[0143] Data Processing: The node determines the power prediction data based on the historical data sequence and collects the actual power measurement data at the second time node.

[0144] Data Sending: The node packs the power monitoring data sequence, power prediction data, and actual power measurement data into power monitoring data and sends it to the industrial switch.

[0145] Data Forwarding: The industrial switch determines the communication bandwidth according to the transmission priority of the power monitoring data and forwards the data to the power data management platform.

[0146] For the data processing and decision support process of the above-mentioned power data management system, it can be specifically as follows:

[0147] Data Receiving: The power data management platform receives the power monitoring data from the industrial switch.

[0148] Data Analysis: The data processing module of the platform cleans, analyzes, and processes the data.

[0149] Decision Support: Based on the processed data, the decision support module generates decision suggestions, such as adjusting the power dispatching plan or optimizing the power resource allocation.

[0150] User Interface Display: The decision suggestions are presented to the operator through the user interface for further operations or confirmations.

[0151] For the application scenario of the method provided in the embodiments of the present application, it can be assumed that a power company needs to monitor the power data of a substation, including information such as voltage, current, and power of the incoming and outgoing substation. The power data monitoring nodes are deployed at key positions in the substation, including near devices such as transformers and circuit breakers. The power data management platform is located in the company's data center and is connected to the industrial switch through optical fibers. The industrial switch is located inside the substation and connects all power data monitoring nodes.

[0152] Install power data monitoring nodes at key positions in the substation, including sensors and data acquisition devices. Set the network parameters of the industrial switch, including IP address, subnet mask, default gateway, etc. Build a power data management platform in the data center, configure the server cluster, database system, and user interface. Connect the industrial switch and the power data management platform through optical fibers to ensure high-speed data transmission. Test the data transmission between the power data monitoring nodes, the industrial switch, and the power data management platform to ensure the normal operation of the system. The power data monitoring nodes continuously collect data, the industrial switch forwards the data according to the data transmission priority, the power data management platform receives the data and processes and analyzes it, and finally displays the results through the user interface.

[0153] Figure 1 is a schematic flowchart of a power data management method based on an industrial switch shown according to an exemplary embodiment of the present application. As Figure 1 shown, the method provided in this embodiment includes:

[0154] S101. At a first time node, the power data monitoring node in the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target.

[0155] At a first time node, the power data monitoring node in the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, and the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node.

[0156] Specifically, the power data monitoring nodes are usually deployed at the edge of the network to collect real-time data of the power system. The first power monitoring data refers to the data collected at the first time node, and the previous power monitoring data is the data collected at several time nodes before the first time node. These data usually include factors such as voltage, current, and power, and are used to describe the operating state of the power system.

[0157] S102. The power data monitoring node uses a preset power monitoring data prediction model and determines power prediction data of the monitoring target at a second time node according to the power monitoring data sequence.

[0158] In this step, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence. The second time node is the next time node of the first time node in the preset monitoring period of the power data monitoring node;

[0159] Specifically, the preset power monitoring data prediction model is usually a model trained based on historical data. It can be a model based on time series analysis, such as autoregressive model, moving average model, autoregressive moving average model, etc. The power prediction data is the power data at a future time point predicted according to the historical data sequence and is used to assist in the operation decision-making of the power system. The second time node refers to the next time node after a fixed time interval from the first time node, and this time interval is usually the monitoring period of the power data monitoring node.

[0160] In a possible implementation manner, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node, including:

[0161] The power data monitoring node uses Formula 1 and determines the prediction order eigenvalue according to the power monitoring data sequence . Formula 1 is:

[0162]

[0163] The power data monitoring node uses Formula 2 and determines the first eigenmatrix and the second eigenvector according to the power monitoring data sequence to determine the prediction weight coefficient eigenvector and the second eigenvector according to the prediction order eigenvalue . Formula 2 is:

[0164]

[0165] The power data monitoring node uses Formula 3 and determines the power prediction data according to the prediction order eigenvalue and the power monitoring data sequence . Formula 3 is:

[0166]

[0167] where For the predictive weight coefficient eigenvector The th predictive weight coefficient.

[0168] S103. At the second time node, the power data monitoring node acquires the actual measured power data of the monitoring target and sends the power monitoring data to the industrial switch.

[0169] At the second time node, the power data monitoring node acquires the actual measured power data of the monitoring target and sends the power monitoring data to the industrial switch. The power monitoring data includes a power monitoring data sequence, power prediction data, and actual measured power data.

[0170] Specifically, the actual measured power data refers to the actual power data collected at the second time node. The power monitoring data is a data packet packed and sent by the power data monitoring node to the industrial switch, which includes a power monitoring data sequence, power prediction data, and actual measured power data.

[0171] S104. The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the actual measured power data.

[0172] In this step, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the actual measured power data. The transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform.

[0173] Specifically, the determination of the transmission priority is based on the degree of difference between the power prediction data and the actual measured power data. The greater the difference, usually the higher the priority is required to ensure the timely transmission of data. The allocation of the communication bandwidth is carried out according to the transmission priority. The data with a higher priority will obtain more bandwidth resources. Among them, the industrial switch is one of the core components in the power data management system and is responsible for data transmission and scheduling.

[0174] In this embodiment, by acquiring the power monitoring data sequence at the first time node, acquiring the actual measured power data at the second time node, and using the preset power monitoring data prediction model to combine historical data for prediction to determine the power prediction data at the second time node, and then sending the above-mentioned monitoring and prediction-related data as power monitoring data to the industrial switch, so that the industrial switch determines the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and contributing to better management of power grid monitoring data.

[0175] Figure 2 is a schematic flowchart of a power data management method based on an industrial switch according to another exemplary embodiment of the present application. AsFigure 2 As shown, the method provided in this embodiment includes:

[0176] S201. At the first time node, the power data monitoring node in the power data monitoring node acquires the power monitoring data sequence of the monitoring target.

[0177] At the first time node, the power data monitoring node in the power data monitoring node acquires the power monitoring data sequence of the monitoring target. The power monitoring data sequence includes the first power monitoring data acquired at the first time node and the power monitoring data acquired at at least one time node before the first time node.

[0178] Specifically, the power data monitoring node is usually deployed at the edge of the network to collect real-time data of the power system. The first power monitoring data refers to the data collected at the first time node, and the previous power monitoring data is the data collected at several time nodes before the first time node. These data usually include factors such as voltage, current, and power, which are used to describe the operating state of the power system.

[0179] S202. The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence.

[0180] In this step, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence. The second time node is the next time node of the first time node in the preset monitoring period of the power data monitoring node;

[0181] Specifically, the preset power monitoring data prediction model is usually a model trained based on historical data. It can be a model based on time series analysis, such as an autoregressive model, a moving average model, an autoregressive moving average model, etc. The power prediction data is the power data at a future time point predicted according to the historical data sequence, which is used to assist the operation decision-making of the power system. The second time node refers to the next time node after a fixed time interval after the first time node, and this time interval is usually the monitoring period of the power data monitoring node.

[0182] In a possible implementation manner, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including:

[0183] The power data monitoring node uses Formula 1 and, according to the power monitoring data sequence determines the prediction order eigenvalue , and Formula 1 is:

[0184]

[0185] The power data monitoring node uses Formula 2 and determines the first eigenmatrix according to the power monitoring data sequence and the second eigenvector to determine the prediction weight coefficient eigenvector according to the prediction order eigenvalue 、the first eigenmatrix and the second eigenvector ; Formula 2 is as follows: The prediction weight coefficient eigenvector is determined as follows: Formula 2 is:

[0186]

[0187] The power data monitoring node uses Formula 3 and determines the power prediction data according to the prediction order eigenvalue 、the prediction weight coefficient eigenvector and the power monitoring data sequence ; Formula 3 is: Formula 3 is:

[0188]

[0189] wherein, is the -th prediction weight coefficient in the prediction weight coefficient eigenvector .

[0190] S203. At the second time node, the power data monitoring node acquires the measured power data of the monitoring target.

[0191] At the second time node, the power data monitoring node acquires the measured power data of the monitoring target. The power monitoring data includes the power monitoring data sequence, the power prediction data, and the measured power data.

[0192] Specifically, the measured power data refers to the actual power data collected at the second time node. The power monitoring data is a data packet packaged by the power data monitoring node and sent to the industrial switch, which includes the power monitoring data sequence, the power prediction data, and the measured power data.

[0193] S204. The power data monitoring node determines whether to send the power monitoring data to the industrial switch according to the power monitoring data sequence and the measured power data.

[0194] In a possible design, before sending power monitoring data to the industrial switch, the power data monitoring node generates an updated power monitoring data sequence based on the power monitoring data sequence and the measured power data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold.

[0195] If it is determined that the number of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the lowest transmission priority corresponding to the power monitoring data based on the power prediction data and the measured power data.

[0196] In another possible design, before sending power monitoring data to the industrial switch, the power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds a second preset data threshold.

[0197] Specifically, the power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds the second preset data threshold, including:

[0198] The power data monitoring node uses formula 4 to determine the power prediction data and the measured power data The first difference between them, and formula 4 is:

[0199]

[0200] The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or,

[0201] The power data monitoring node obtains the power prediction data sequence of the monitoring target at and before the second time node ;

[0202] The power data monitoring node uses formula 5 and determines the second difference based on the power prediction data sequence , the power monitoring data sequence and the measured power data , and formula 5 is:

[0203]

[0204] The power data monitoring node determines that the second difference is greater than the second preset data threshold.

[0205] S205. The industrial switch determines the transmission priority corresponding to the power monitoring data based on the power prediction data and the measured power data.

[0206] In this step, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the actual power measurement data, and the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform.

[0207] Specifically, if the industrial switch determines that the first difference is greater than the third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold;

[0208] If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority.

[0209] Regarding that the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, it may include:

[0210] The industrial switch obtains the current data sequence to be transmitted , where the th data to be transmitted in the data sequence to be transmitted is the power monitoring data;

[0211] The industrial switch uses Formula 6 and determines the communication bandwidth for transmitting the power monitoring data between the industrial switch and the power data management platform according to the data sequence to be transmitted and the transmission priority corresponding to the power monitoring data , and Formula 6 is:

[0212]

[0213] Wherein, is the preset minimum bandwidth corresponding to the transmission priority of the power monitoring data being , is the current total bandwidth, is the data size corresponding to the th data to be transmitted in the data sequence to be transmitted.

[0214] Figure 3 is a schematic structural diagram of the power data management system shown according to an exemplary embodiment of the present application. As Figure 3As shown, the power data management system 300 provided in this embodiment includes: a power data management platform 310, an industrial switch 320 and a power data monitoring node set 330, each power data monitoring node in the power data monitoring node set 330 is respectively connected to the industrial switch 320 for communication, and the industrial switch 320 is connected to the power data management platform 310 for communication;

[0215] At a first time node, a power data monitoring node among the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, wherein the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node;

[0216] The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node;

[0217] At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch 320, where the power monitoring data includes the power monitoring data sequence, the power prediction data, and the power measured data;

[0218] The industrial switch 320 determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data, and the transmission priority is used to determine the communication link between the industrial switch 320 and the power data management platform 310.

[0219] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including:

[0220] The power data monitoring node uses formula 1 and according to the power monitoring data sequence Determine the prediction order eigenvalue , the formula 1 is:

[0221]

[0222] The power data monitoring node uses formula 2 and according to the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , to predict the order eigenvalues ​​according to and the first feature matrix and the second feature vector to determine the prediction weight coefficient feature vector , and the formula 2 is as follows:

[0223]

[0224] The power data monitoring node uses formula 3 and determines the power prediction data according to the prediction order eigenvalue , the prediction weight coefficient feature vector and the power monitoring data sequence , and the formula 3 is as follows: where,

[0225]

[0226] is the th prediction weight coefficient in the prediction weight coefficient feature vector .

[0227] Optionally, before sending the power monitoring data to the industrial switch 320, it further includes:

[0228] The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the measured power data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or,

[0229] The power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds a second preset data threshold.

[0230] Optionally, the power data monitoring node determines that the difference between the power prediction data and the measured power data exceeds a second preset data threshold, including:

[0231] The power data monitoring node uses formula 4 to determine the first difference between the power prediction data and the measured power data , and the formula 4 is as follows:

[0232]

[0233] The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or,

[0234] ​The power data monitoring node obtains the power prediction data sequence of the monitoring target at and before the second time node ;

[0235] The power data monitoring node uses Formula 5 and, based on the power prediction data sequence 、the power monitoring data sequence and the measured power data to determine a second difference , and Formula 5 is:

[0236]

[0237] The power data monitoring node determines that the second difference is greater than the second preset data threshold.

[0238] Optionally, the industrial switch 320 determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the measured power data, including:

[0239] If the industrial switch 320 determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold;

[0240] If the industrial switch 320 determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority.

[0241] Optionally, the transmission priority is used to determine the communication bandwidth between the industrial switch 320 and the power data management platform 310, including:

[0242] The industrial switch 320 obtains the current data sequence to be transmitted , where the th data to be transmitted in the data sequence to be transmitted is the power monitoring data;

[0243] The industrial switch 320 uses Formula 6 and, based on the data sequence to be transmitted Determine the communication bandwidth for transmitting the power monitoring data between the industrial switch 320 and the power data management platform 310 based on the transmission priority corresponding to the power monitoring data , the formula 6 is:

[0244]

[0245] Wherein, is the transmission priority corresponding to the power monitoring data is the preset minimum bandwidth corresponding to is the current total bandwidth, is the data sequence to be transmitted in the th data to be transmitted is the data size corresponding to

[0246] Optionally, if it is determined that the number of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch 320 determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data, including:

[0247] The industrial switch 320 determines the lowest transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data.

[0248] Figure 4 is a schematic structural diagram of an electronic device shown according to an exemplary embodiment of the present application. As Figure 4 shown, an electronic device 400 provided in this embodiment includes: a processor 401 and a memory 402; wherein:

[0249] The memory 402 is used to store a computer program, and this memory can also be flash (flash memory).

[0250] The processor 401 is used to execute the execution instructions stored in the memory to implement each step in the above method. Specifically, reference can be made to the relevant descriptions in the foregoing method embodiments.

[0251] Optionally, the memory 402 can be either independent or integrated with the processor 401.

[0252] When the memory 402 is a device independent of the processor 401, the electronic device 400 may further include:

[0253] A bus 403 for connecting the memory 402 and the processor 401.

[0254] This embodiment also provides a readable storage medium, in which a computer program is stored. When at least one processor of the electronic device executes the computer program, the electronic device executes the methods provided by the above various embodiments.

[0255] This embodiment also provides a program product, which includes a computer program stored in a readable storage medium. At least one processor of the electronic device can read the computer program from the readable storage medium, and the execution of the computer program by at least one processor enables the electronic device to implement the methods provided by the above various embodiments.

[0256] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any variations, uses, or adaptations of the present application, which follow the general principles of the present application and include common general knowledge or conventional technical means in the technical field not disclosed in the present application. The specification and embodiments are only to be considered as exemplary, and the true scope and spirit of the present application are pointed out by the claims.

[0257] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present application is only limited by the appended claims.

Claims

1. A power data management method based on an industrial switch, characterized in that: Applied to a power data management system, the power data management system includes a power data management platform, an industrial switch and a power data monitoring node set, each power data monitoring node in the power data monitoring node set is respectively connected to the industrial switch for communication, and the industrial switch is connected to the power data management platform for communication, the method includes: At a first time node, the power data monitoring node in the power data monitoring node obtains a power monitoring data sequence of the monitoring target , the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch, where the power monitoring data includes the power monitoring data sequence, the power forecast data, and the power measured data; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, and the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform; Before sending the power monitoring data to the industrial switch, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold; The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node uses formula 4 to determine the power prediction data The measured power data The first difference between , the formula 4 is: The power data monitoring node determines the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node ; The power data monitoring node uses formula 5 and predicts the power data sequence according to , the power monitoring data sequence and the power measured data Determine the second difference , the formula 5 is: The power data monitoring node determines the second difference greater than the second preset data threshold; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: If the industrial switch determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, then the transmission priority corresponding to the power monitoring data is determined to be the second transmission priority, and the first transmission priority is higher than the second transmission priority.

2. The power data management method based on an industrial switch according to claim 1 is characterized in that: The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, including: The power data monitoring node uses formula 1 according to the power monitoring data sequence Determine the prediction order eigenvalue , the formula 1 is: The power data monitoring node uses formula 2 according to the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , to predict the order eigenvalues ​​according to , the first characteristic matrix With the second eigenvector Determine the prediction weight coefficient feature vector , the formula 2 is: The power data monitoring node uses formula 3 according to the predicted order characteristic value , the prediction weight coefficient feature vector And the power monitoring data sequence Determining the power forecast data , the formula 3 is: in, is the prediction weight coefficient feature vector The The prediction weight coefficient.

3. The power data management method based on an industrial switch according to claim 1 is characterized in that: The transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, including: The industrial switch obtains the current data sequence to be transmitted , wherein the data sequence to be transmitted The Data to be transmitted The power monitoring data; The industrial switch uses Formula 6 according to the sequence of data to be transmitted. The transmission priority corresponding to the power monitoring data determines the communication bandwidth between the industrial switch and the power data management platform for transmitting the power monitoring data. , the formula 6 is: in, The transmission priority corresponding to the power monitoring data is The corresponding preset minimum bandwidth, is the current total bandwidth, The data sequence to be transmitted The Data to be transmitted The corresponding data size.

4. A power data management system, characterized in that: include: A power data management platform, an industrial switch and a power data monitoring node set, wherein each power data monitoring node in the power data monitoring node set is respectively connected to the industrial switch for communication, and the industrial switch is connected to the power data management platform for communication; At a first time node, the power data monitoring node in the power data monitoring node obtains a power monitoring data sequence of the monitoring target , the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch, where the power monitoring data includes the power monitoring data sequence, the power forecast data, and the power measured data; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, and the transmission priority is used to determine the communication link between the industrial switch and the power data management platform; Before sending the power monitoring data to the industrial switch, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold; The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node uses formula 4 to determine the power prediction data The measured power data The first difference between , the formula 4 is: The power data monitoring node determines the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node ; The power data monitoring node uses formula 5 and predicts the power data sequence according to , the power monitoring data sequence and the power measured data Determine the second difference , the formula 5 is: The power data monitoring node determines the second difference greater than the second preset data threshold; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: If the industrial switch determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, then the transmission priority corresponding to the power monitoring data is determined to be the second transmission priority, and the first transmission priority is higher than the second transmission priority.

5. An electronic device, characterized in that: include: processor; as well as, A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 3 by executing the executable instructions.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 3 when executed by a processor.

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