A distribution terminal communication network system based on WAPI

Abstract

The present invention relates to the field of smart grid technology, specifically a distribution terminal communication network system based on WAPI, the system includes a distribution data collection module, a distribution data compression module, a data encryption processing module, a network parameter adjustment module, a distribution anomaly identification module and a distribution scheduling adjustment module. In the present invention, by introducing real-time data processing and encryption technology based on WAPI, the security of data and the efficiency of the network are improved, the data encryption processing ensures the security of information during transmission, enhances the system's control ability over power network operation and monitoring, and adjusts the sending frequency of data packets according to the network status, dynamically optimizes network parameters, improves the network's adaptability and stability, and implements anomaly identification and fault response to ensure the continuity and safety of power grid operation. By optimizing the data processing process and strengthening safety measures, the overall performance and reliability of the power system are significantly improved.

Description

Technical Field

[0001] The present invention relates to the field of smart grid technology, and in particular to a distribution terminal communication network system based on WAPI. Background Art

[0002] The field of smart grid technology focuses on optimizing the monitoring, control and analysis capabilities of power systems through information and communication technologies to achieve efficient and reliable power supply. Smart grids use real-time data processing and network communication technologies to monitor the operating status of power grids, thereby improving the energy efficiency, safety and economy of power systems. The core technologies involved in this field include real-time data acquisition, remote control technology, fault detection and response mechanisms, and data analysis and optimization decision support systems.

[0003] Among them, the distribution terminal communication network system is used to realize the transmission of data and control instructions at the distribution terminal of the power system. The system supports the collection, transmission and processing of real-time data by utilizing the communication network to ensure the optimization of power grid operation. Its main uses include monitoring the status of the power grid, remote control of distribution equipment, real-time fault diagnosis and response, and optimizing the efficiency and reliability of power grid operation. By utilizing this system, power companies can improve service quality, reduce operation and maintenance costs, and enhance the power grid's ability to respond to various operational changes and potential failures.

[0004] Traditional systems still have deficiencies in high-speed data processing and real-time network adaptability. Data processing in traditional systems is often not effectively optimized, resulting in data transmission and processing speeds that cannot meet the needs of high loads or emergencies, affecting the real-time response capabilities of the power grid. In addition, traditional systems lack the ability to flexibly adjust network parameters, making it difficult for the power grid to maintain efficient operation when facing changing network states and load conditions, affecting the stability and economy of the power grid. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a distribution terminal communication network system based on WAPI.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a distribution terminal communication network system based on WAPI, the system comprising:

[0007] The power distribution data collection module collects the current, voltage and power data of the power distribution equipment regularly and in real time based on the power distribution terminal nodes, performs time synchronization and baseline calibration on the collected data, and obtains real-time load data;

[0008] The power distribution data compression module compresses the load data based on the real-time load data, and performs routing marking on the compressed and encapsulated data packet to obtain a load compressed data packet;

[0009] The data encryption processing module encrypts each data packet based on the payload compression data packet, authenticates the encrypted data stream through the WAPI standard, and obtains the data stream encryption processing result;

[0010] The network parameter adjustment module adjusts the sending frequency of the data packet based on the data stream encryption processing result and the real-time network status to obtain the adjusted network configuration parameters;

[0011] The power distribution anomaly identification module analyzes the power distribution data based on the adjusted network configuration parameters, monitors the power distribution network, analyzes the sudden changes and continuous abnormal patterns of the power grid data, locates the fault point, and obtains the fault identification result;

[0012] The distribution dispatching and adjusting module formulates maintenance tasks for the distribution terminals based on the fault identification results, according to the fault type and severity, and adjusts the operating parameters of the power grid to obtain maintenance and dispatching instructions.

[0013] As a further solution of the present invention, the real-time load data includes power consumption, current fluctuation and voltage stability indicators of distribution terminal nodes, the load compression data packet includes data compression strategy, compressed data integrity verification information and compression efficiency indicators, the data stream encryption processing results include encryption key list, key update log and encrypted data packet, the adjusted network configuration parameters include adjusted data packet sending frequency and bandwidth allocation information, the fault identification results include potential fault node locations in the power grid, fault type predictions and fault occurrence time, and the maintenance and scheduling instructions include repair task lists for fault types and distribution parameter adjustment information.

[0014] As a further solution of the present invention, the power distribution data collection module includes:

[0015] The electrical parameter measurement submodule is based on the power distribution terminal node. It continuously monitors and records the current, voltage and power electrical parameters according to the set time interval. Through the data acquisition device, it reads the electrical output of the power distribution equipment in real time to obtain the electrical parameter record information.

[0016] The data synchronization calibration submodule adds a time tag to the load data based on the electrical parameter recording information, optimizes the consistency of the data time, performs baseline calibration, adjusts the offset and error, and obtains calibration synchronization data;

[0017] The load data integration submodule summarizes and organizes the load parameters based on the calibration synchronization data, unifies the format of the multi-source load data after time synchronization, and obtains real-time load data.

[0018] As a further solution of the present invention, the power distribution data compression module includes:

[0019] The algorithm selection submodule evaluates the characteristics and structure of the data based on the real-time load data, selects a compression algorithm that matches the current data characteristics, optimizes information loss, reduces data storage and transmission costs, and obtains an optimal compression strategy;

[0020] The compression execution submodule compresses the payload data using a compression algorithm based on the preferred compression strategy, and adjusts the compression level according to the sensitivity and importance of the data to obtain a compressed data packet;

[0021] The packet marking submodule performs packet processing based on the compressed data packets, adds routing and target information tags to each data packet, optimizes routing selection and data security during data transmission, and obtains load compressed data packets.

[0022] As a further solution of the present invention, the data encryption processing module includes:

[0023] The encryption key management submodule compresses the data packet based on the load, allocates a unique encryption key to each data packet through a secure key generation algorithm, and sets a key library so that the key is updated every 24 hours to optimize the security of data transmission and obtain key management information;

[0024] The data stream authentication submodule authenticates the encrypted data stream based on the key management information using the WAPI standard authentication mechanism, including verifying the integrity and security of the data packet, and obtaining authentication completion data;

[0025] The authorization verification submodule performs authorization verification on the sender and receiver of each data packet based on the authentication completion data, verifies the identities of both parties by comparing the authorization information pre-stored in the database, verifies that the data is only received and sent by authorized users, and obtains the data stream encryption processing result.

[0026] As a further solution of the present invention, the network parameter adjustment module includes:

[0027] The network traffic evaluation submodule monitors the network load of the power distribution terminal in real time based on the data stream encryption processing result, evaluates the current network traffic and speed status, and obtains real-time traffic status information;

[0028] The speed adjustment submodule dynamically adjusts the data transmission speed in the network based on the real-time traffic status information, reduces delays and improves data transmission efficiency, and obtains speed optimization information;

[0029] The frequency configuration submodule adjusts the sending frequency of data packets based on the speed optimization information, according to the current network conditions and data transmission requirements, balances the network load and the transmission speed, optimizes the continuous stability of the communication, and obtains the adjusted network configuration parameters.

[0030] As a further solution of the present invention, the calculation formula for adjusting the sending frequency of the data packet is:

[0031]

[0032] in, Represents the adjusted sending frequency, Indicates the basic sending frequency, is the network load impact weight coefficient, is the speed difference adjustment factor, is the bandwidth weight coefficient, Indicates the current network load size. is the target network load, is the target data transmission speed, Indicates the current network data transmission rate. Represents the current available bandwidth, The minimum bandwidth limit.

[0033] As a further solution of the present invention, the power distribution abnormality identification module includes:

[0034] The abnormal mode analysis submodule receives the distribution terminal data through the central processing device based on the adjusted network configuration parameters, detects the sudden changes and continuous abnormal modes in the distribution network data, identifies the power grid operation mode that does not meet the expectations, and obtains the abnormal mode recognition result;

[0035] The data marking submodule marks the abnormal data item by item based on the abnormal pattern recognition result, including encoding the time, location, and impact range of the abnormality to obtain abnormal marking information;

[0036] The fault location submodule uses the geographic information system to perform spatial and logical analysis on the marked abnormal data based on the abnormal marking information, and locates the occurrence location of each abnormal event in combination with the layout of the distribution network and the historical fault data comparison to obtain the fault identification result.

[0037] As a further solution of the present invention, the power distribution scheduling adjustment module includes:

[0038] The fault response planning submodule analyzes the fault type and severity based on the fault identification result, identifies the maintenance priority of the distribution terminal in combination with the importance of the distribution terminal equipment, sorts the maintenance priority, formulates maintenance measures, and obtains fault response information;

[0039] The operating parameter adjustment submodule adjusts the power grid operating parameters based on the fault response information and the fault impact range, optimizes the stability of the power distribution network, and obtains the adjusted operating parameters;

[0040] The network stability optimization submodule evaluates the impact of the adjustment measures on the distribution network based on the adjusted operating parameters, adjusts the operation strategy and maintenance plan of the power grid, matches the power grid load demand in the current and future time periods, and obtains maintenance and dispatching instructions.

[0041] As a further solution of the present invention, the calculation formula for identifying the maintenance priority of the power distribution terminal is:

[0042]

[0043] in, Indicates the maintenance priority. is the fault influence coefficient weight, Adjust the weight for the fault frequency, is the equipment importance weight coefficient, is the impact intensity of the actual fault, is the critical value of the fault impact, is the frequency of fault occurrence, The frequency threshold indicating the fault, Indicates the importance level of the current distribution terminal. is the sum of the importance levels of all distribution terminals in the system, Indicates the distance between the fault location of the distribution terminal and the maintenance point.

[0044] Compared with the prior art, the advantages and positive effects of the present invention are:

[0045] In the present invention, by introducing real-time data processing and encryption technology based on WAPI, the security of data and the efficiency of the network are improved. By collecting the current, voltage and power data of the distribution equipment and through time synchronization and baseline calibration, the accuracy and reliability of the data are ensured. The matching degree compression algorithm is used to optimize data transmission, reduce the amount of data and transmission delay in the communication process, and improve the response speed and operation efficiency of the power grid. Data encryption processing ensures the security of information during transmission, enhances the system's control ability over the operation and monitoring of the power network, adjusts the sending frequency of data packets according to the network status, dynamically optimizes network parameters, improves the network's adaptability and stability, and implements abnormal identification and fault response to ensure the continuity and safety of power grid operation. By optimizing the data processing process and strengthening safety measures, the overall performance and reliability of the power system are significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1is a system flow chart of the present invention;

[0047] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0048] Figure 3 This is a flow chart of the power distribution data collection module of the present invention;

[0049] Figure 4 This is a flow chart of the power distribution data compression module of the present invention;

[0050] Figure 5 This is a flow chart of the data encryption processing module of the present invention;

[0051] Figure 6 It is a flow chart of the network parameter adjustment module of the present invention;

[0052] Figure 7 This is a flow chart of the power distribution anomaly identification module of the present invention;

[0053] Figure 8 This is a flow chart of the power distribution scheduling adjustment module of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0056] See also Figure 1 , a distribution terminal communication network system based on WAPI, the system includes:

[0057] The power distribution data collection module is based on the power distribution terminal node and regularly collects the current, voltage and power data of the power distribution equipment in real time at preset time intervals. It performs time synchronization and baseline calibration on the collected data to obtain real-time load data.

[0058] The power distribution data compression module selects a matching compression algorithm based on real-time load data, compresses the load data, adjusts the compression ratio according to the data sensitivity and importance, optimizes the data integrity during the compression process, and performs routing marking on the compressed and encapsulated data packets to obtain load compressed data packets;

[0059] The data encryption processing module compresses data packets based on the payload, encrypts each data packet, assigns a unique key to each data packet, and sets the key to be updated every 24 hours. The encrypted data stream is authenticated through the WAPI standard, and the sender and receiver of each data packet are authorized to obtain the data stream encryption processing result;

[0060] The network parameter adjustment module monitors the network load of the current distribution terminal in real time based on the data stream encryption processing results, evaluates the current network traffic and speed, adjusts the sending frequency of data packets according to the real-time network status, and obtains the adjusted network configuration parameters;

[0061] The power distribution anomaly identification module receives power distribution terminal data through the central processing device based on the adjusted network configuration parameters, analyzes the power distribution data, monitors the power distribution network, analyzes the sudden changes and continuous abnormal patterns of the power grid data, marks the abnormal data item by item, identifies the potential causes of the fault, locates the fault point, and obtains the fault identification result;

[0062] The distribution dispatching and adjustment module formulates maintenance tasks for distribution terminals based on the fault identification results, according to the fault type and severity, and adjusts the operating parameters of the power grid to optimize the stability of the distribution network, match the current power grid load, and obtain maintenance and dispatching instructions;

[0063] Real-time load data includes power consumption, current fluctuation and voltage stability indicators of distribution terminal nodes. Load compression data packets include data compression strategies, compressed data integrity verification information and compression efficiency indicators. Data stream encryption processing results include encryption key lists, key update logs and encrypted data packets. Adjusted network configuration parameters include adjusted data packet sending frequency and bandwidth allocation information. Fault identification results include potential fault node locations in the power grid, fault type predictions and fault occurrence time. Maintenance and scheduling instructions include repair task lists for fault types and distribution parameter adjustment information.

[0064] See also Figure 2 and Figure 3 ,The power distribution data collection module includes an electrical parameter measurement submodule, a data synchronization and calibration submodule, and a load data integration submodule;

[0065] The electrical parameter measurement submodule is based on the power distribution terminal node. It continuously monitors and records the current, voltage and power electrical parameters according to the set time interval. Through the data acquisition device, it reads the electrical output of the power distribution equipment in real time to obtain the electrical parameter record information.

[0066] The electrical parameter measurement submodule is based on the power distribution terminal node. By setting the time interval, it continuously monitors the electrical parameters such as current, voltage and power. The current and voltage sensors are used to capture the electrical signals of the power distribution equipment in real time. During the electrical parameter measurement process, the current and voltage sensors convert the signals into digital signals, which are converted by analog-to-digital converters. The digital signals are sampled and stored by the data acquisition device at preset time intervals. The data acquisition device uses a microprocessor and a storage unit to ensure instant reading and accurate recording of data, and provide the original electrical parameter data for subsequent data processing. The sampled data is initially formatted for data transmission and analysis, and is stored in the data buffer waiting for data synchronization and processing. During the whole process, the communication between the data acquisition device and the power distribution terminal node is wireless or

[0067] The data synchronization calibration submodule adds time tags to the load data based on the electrical parameter recording information, optimizes the consistency of data time, and performs baseline calibration, adjusts offsets and errors, and obtains calibration synchronization data;

[0068] The data synchronization calibration submodule analyzes the time tags in the electrical parameter recording information based on the electrical parameter recording information to determine the precise time point of the data recording. The precise processing of the time tag involves the time synchronization signal of the time server to ensure the time consistency of all data points. After time synchronization, statistical methods are used to compare the time deviations between data points, and linear or nonlinear correction techniques are used to adjust the data timestamps to eliminate errors caused by time deviations between devices. The baseline calibration part identifies possible deviations and errors by comparing historical data and real-time data, and makes appropriate adjustments according to the nature and degree of the deviations, including data amplification, reduction or offset adjustment, to obtain calibrated synchronization data that is time-aligned and error-adjusted.

[0069] The load data integration submodule summarizes and organizes the load parameters based on the calibration synchronization data, unifies the format of the multi-source load data after time synchronization, and obtains real-time load data; the wired network maintains the stability and real-time performance of data transmission, and obtains real-time electrical parameter recording information.

[0070] The load data integration submodule summarizes and organizes the calibrated data based on the calibration synchronization data, including identifying and classifying load data from different sources and types, aligning and merging data at the same time point using data matching and integration algorithms, and data format unification involves converting data in different formats into a common data format for subsequent processing and analysis. After data integration, quality inspection is performed to identify and correct any possible data inconsistencies, forming real-time load data in a unified format to ensure data integrity and availability.

[0071] See also Figure 2 and Figure 4 ,The power distribution data compression module includes an algorithm selection submodule, a compression execution submodule, and a packet marking submodule;

[0072] The algorithm selection submodule evaluates the characteristics and structure of the data based on real-time load data, selects a compression algorithm that matches the current data characteristics, optimizes information loss, reduces data storage and transmission costs, and obtains the optimal compression strategy;

[0073] The algorithm selection submodule performs data feature analysis based on real-time load data, involving statistical characteristics of the data such as mean, standard deviation and time series analysis of the data. This process uses special software to realize automatic data feature extraction, and the data structure analysis focuses on the data encoding format, data volume and data update frequency. For different types of load data, such as numerical, text or image types, different compression technologies are selected, such as Huffman coding, LZW compression or JPEG compression. The acceptable range of information loss is evaluated according to the importance and sensitivity of the data. A simulated compression test is used to predict the effect of the compressed data. The compression rate of each compression algorithm and the integrity of the compressed data are compared to determine the best compression algorithm, and finally optimize the information loss, reduce the cost of data storage and transmission, and obtain the optimal compression strategy.

[0074] The compression execution submodule compresses the payload data based on the optimal compression strategy and applies the compression algorithm, and adjusts the compression level according to the sensitivity and importance of the data to obtain the compressed data packet;

[0075] The compression execution submodule encodes the payload data based on the optimal compression strategy and the selected compression algorithm. During this process, the compression algorithm iterates the data block, reducing the redundant part of the data at each iteration, and adjusts the compression level according to the sensitivity and importance of the data. A high compression ratio is used for highly sensitive data to reduce the risk of information leakage, and a low compression ratio can be used for low-importance data to increase the compression speed and reduce processing resource consumption. In addition, the compression process also includes an error detection and correction mechanism to ensure the integrity and availability of the compressed data and obtain a compressed data packet.

[0076] The packet marking submodule performs packet processing based on the compressed data packets, adds routing and target information tags to each data packet, optimizes routing selection and data security during data transmission, and obtains load compressed data packets.

[0077] The packet marking submodule adds necessary routing and destination information tags to each data packet based on the compressed data packet, classifies and identifies the data packet. The marking process depends on the source and destination information of the data packet, and uses the data routing algorithm to determine the optimal path for data transmission. At the same time, each data packet is assigned a unique identifier to ensure tracking and positioning in the network. The security of the data packet is enhanced through encryption and authentication mechanisms to ensure the security and integrity of the data during transmission. The marked data packet is more efficient in the data flow within the system. Routing optimization ensures high efficiency and low latency in data transmission, and obtains load compressed data packets.

[0078] See also Figure 2 and Figure 5 ,The data encryption processing module includes an encryption key management submodule, a data stream authentication submodule, and an authorization verification submodule;

[0079] The encryption key management submodule compresses data packets based on the payload, assigns a unique encryption key to each data packet through a secure key generation algorithm, and sets a key library to update the key every 24 hours to optimize the security of data transmission and obtain key management information;

[0080] The encryption key management submodule compresses data packets based on the payload and generates a unique encryption key for each data packet through a secure key generation algorithm. This process involves the use of encryption standards or public key infrastructure algorithms to ensure the strength and security of the keys. Once the key is generated, it is assigned to the corresponding data packet. In addition, the key library is automatically retrieved every 24 hours and expired keys are updated. This update strategy is controlled by using timestamps and key expiration mechanisms to ensure that all keys are valid within a secure time window to prevent unauthorized access and key leakage, optimize the security of data transmission, and obtain key management information.

[0081] The data stream authentication submodule authenticates the encrypted data stream based on the key management information using the WAPI standard authentication mechanism, including verifying the integrity and security of the data packet and obtaining the authentication completion data;

[0082] The data stream authentication submodule uses the wireless application protocol interface standard to authenticate the data stream based on the key management information, checks whether the key of each data packet is consistent with the record in the key management system, ensures that the encryption status of the data packet has not been tampered with, and uses the WAPI authentication mechanism to check the integrity and security of the data stream, which includes the encryption hash operation of the data packet content and the verification of the encryption hash value to check whether the data has been tampered with during transmission. The authentication mechanism conducts a systematic security review of the data packet to ensure that it meets the preset security standards. After completion, all data in the authentication process is collected and recorded to form authentication completion data.

[0083] The authorization verification submodule performs authorization verification on the sender and receiver of each data packet based on the authentication completion data, verifies the identities of both parties by comparing the authorization information pre-stored in the database, verifies that the data is only received and sent by authorized users, and obtains the data stream encryption processing result.

[0084] The authorization verification submodule is based on the authentication completion data, which involves accessing the authorization information pre-stored in the database, including the user's identity authentication data and access permission records. First, it checks whether the sender and receiver information of each data packet is consistent with the records in the database. Through comparative analysis, the identities of both parties and their authorization status are confirmed. The process ensures that all sensitive data transmission is operated by authorized users. The verification process also includes checking the access rights of the data packet to prevent unauthorized access. Through this detailed authorization and identity authentication, the secure transmission and access of data is ensured, and the data stream encryption processing result is obtained.

[0085] See also Figure 2 and Figure 6 ,The network parameter adjustment module includes a network traffic evaluation submodule, a speed adjustment submodule, and a frequency configuration submodule;

[0086] The network traffic evaluation submodule monitors the network load of the power distribution terminal in real time based on the data stream encryption processing results, evaluates the current network traffic and speed status, and obtains real-time traffic status information;

[0087] The network traffic assessment submodule captures and monitors the encrypted data stream based on the data stream encryption processing results, uses network monitoring tools to record the amount of data transmitted per second, as well as real-time statistics of network delay and packet loss rate, analyzes the size and transmission frequency of data packets, and draws network usage trend charts to identify traffic peaks and troughs. In addition, it evaluates network bandwidth utilization and transmission speed, summarizes and analyzes data to derive the overall health of the network. These analyses help identify possible bottlenecks and optimization points, which serve as the basis for subsequent adjustments and obtain real-time traffic status information.

[0088] The speed adjustment submodule dynamically adjusts the data transmission speed in the network based on the real-time traffic status information, reduces delays and improves data transmission efficiency, and obtains speed optimization information;

[0089] The speed adjustment submodule dynamically adjusts the data transmission speed in the network based on real-time traffic status information. The process involves network flow control technology, analyzes real-time traffic status information, determines the priority of data flows, and implements faster transmission speeds for high-priority data flows. Low-priority data is transmitted when the network load is low, and a dynamic bandwidth allocation algorithm is used to automatically adjust the bandwidth quota of each data flow. This adjustment process reflects changes in network status in real time, ensuring that data flows can be effectively managed when the network is congested and reducing overall network delays. Through this method, the transmission speed and efficiency of the network are continuously optimized to obtain speed optimization information.

[0090] The frequency configuration submodule adjusts the sending frequency of data packets based on the speed optimization information, according to the current network conditions and data transmission requirements, balances the network load and transmission speed, optimizes the continuous stability of communication, and obtains the adjusted network configuration parameters.

[0091] The calculation formula for adjusting the sending frequency of data packets is:

[0092]

[0093] in, Represents the adjusted sending frequency, Indicates the basic sending frequency, is the network load impact weight coefficient, is the speed difference adjustment factor, is the bandwidth weight coefficient, Indicates the current network load size. is the target network load, is the target data transmission speed, Indicates the current network data transmission rate. Represents the current available bandwidth, The minimum bandwidth limit.

[0094] formula:

[0095]

[0096] Parameter meaning and acquisition method:

[0097] :Basic transmission frequency, which represents the default data packet transmission frequency. It is usually set to a fixed value according to the network configuration when the system is initialized. By testing the response speed and stability of the network, it is initially set to the ideal transmission frequency of the network under no-load or low-load conditions.

[0098] : Network load impact weight coefficient, used to balance the impact of current load fluctuations on the frequency of packet sending. This value is determined based on the actual network load and business needs, and is usually set through analysis of historical load data to ensure that frequency adjustment can adapt to changes in network load when the network load is large.

[0099] : Speed ​​difference adjustment factor, used to control the impact of the difference between the request speed and the current speed on the sending frequency. It is usually a constant value set through historical network operation data and speed sensitivity analysis of the target application, with the purpose of making necessary frequency adjustments when the speed difference is large.

[0100] : Bandwidth weight coefficient, used to optimize the sending frequency based on the difference between the current available bandwidth and the minimum bandwidth. It is set based on the historical data of network bandwidth usage. It usually plays a greater role in scenarios where the network bandwidth is sufficient or tight, to ensure the continuity and stability of communication.

[0101] :Current network load, which indicates the current network data flow or number of active connections. It is usually collected in real time through network monitoring tools, such as obtaining the current network data transmission load size through network traffic monitoring equipment, and providing real-time feedback on the current network congestion level.

[0102] : Target network load, that is, the ideal load value of the system under optimal performance. It is obtained through system load testing and is a relatively static parameter. It is usually set to an optimal load value through test configuration during network design.

[0103] Target transmission speed: represents the ideal data packet transmission speed required by the application. It is set according to the expectations of the system and application requirements. It is generally the configuration value of the business system and is defined by analyzing the rate requirements of the application.

[0104] :The current data transmission rate, that is, the real-time transmission rate of the system. It is obtained in real time through network monitoring equipment, usually by measuring the speed of the current data flow as a real-time parameter input for adjusting the frequency.

[0105] :Current available bandwidth, which indicates the amount of available network bandwidth at the current moment. It is usually collected in real time by bandwidth monitoring equipment to reflect the current remaining network resources.

[0106] :Minimum bandwidth limit, the minimum bandwidth requirement for the system to maintain normal communication. Usually set during the network design phase to ensure that the bandwidth level for basic communication can be maintained when resources are tight.

[0107] Calculation example:

[0108] Set the following parameter values: Basic sending frequency times / second, network load weight coefficient , speed difference adjustment factor , bandwidth weight coefficient , current network load (unitized to load), target network load , target data transmission speed Mbps, current data transfer rate Mbps, current available bandwidth Mbps, minimum bandwidth limit Mbps.

[0109] Calculate the adjusted transmission frequency:

[0110]

[0111]

[0112]

[0113]

[0114]

[0115] Adjusted sending frequency times per second. This frequency helps balance network load and transmission speed under current network load and bandwidth conditions, and maintains continuous stability of communication.

[0116] See also Figure 2 and Figure 7 ,The power distribution anomaly identification module includes an anomaly pattern analysis submodule, a data marking submodule, and a fault location submodule;

[0117] The abnormal mode analysis submodule receives the distribution terminal data through the central processing device based on the adjusted network configuration parameters, detects the sudden changes and continuous abnormal modes in the distribution network data, identifies the power grid operation mode that does not meet the expectations, and obtains the abnormal mode recognition results;

[0118] The abnormal pattern analysis submodule analyzes these data through the central processing equipment based on the adjusted network configuration parameters. The detection process first includes collecting data transmitted by each node of the distribution network, and using data processing algorithms to analyze the data in real time to identify mutations and irregular patterns in the data stream. By setting thresholds and behavioral pattern recognition technology, data patterns inconsistent with normal power grid behavior can be detected. Once abnormal patterns are detected, the system will immediately classify these patterns to distinguish whether they are transient or persistent abnormalities. For persistent abnormalities, their potential causes and impacts are analyzed. The analysis helps to determine possible problem areas in power grid operation and generate abnormal pattern recognition results, including the type of abnormality, duration and possible scope of impact, to provide data support for subsequent processing measures.

[0119] The data marking submodule marks the abnormal data item by item based on the abnormal pattern recognition results, including encoding the time, location, and impact range of the abnormality to obtain abnormal marking information;

[0120] The data labeling submodule labels each detected anomaly in detail based on the abnormal pattern recognition results, carefully analyzes the abnormal pattern, determines the specific time and location of the abnormality, and encodes the anomaly, including the abnormality type, start and end time, specific geographical location, and estimated impact range. In addition, the labeling process also includes comparing the data with historical abnormal data to determine the nature and severity of the abnormality. The labeled information will be stored in the database to provide a basis for fault response and future preventive measures. The entire labeling process ensures the accuracy and traceability of the data, and provides detailed data support for the final fault analysis and processing.

[0121] The fault location submodule uses the geographic information system to perform spatial and logical analysis on the marked abnormal data based on the abnormal marking information, and combines the layout of the distribution network with the historical fault data to locate the location of each abnormal event and obtain the fault identification result.

[0122] The fault location submodule uses the abnormal marking information to perform spatial and logical analysis of the fault through the geographic information system, reads the marked abnormal data, and analyzes it in combination with the geographical layout map of the distribution network. GIS tools such as spatial analysis and network analysis are used to determine the exact location of the abnormality. In this process, the abnormal data is also compared with the historical fault database, and pattern recognition technology is used to find similar historical events, which helps to quickly locate the location of new faults. At the same time, the physical and logical connections of the network are also considered in the analysis process to ensure the accuracy of positioning. The fault identification results generated provide the maintenance team with accurate positioning information, which promotes rapid and effective fault response.

[0123] See also Figure 2 and Figure 8 ,The distribution scheduling and adjustment module includes a fault response planning submodule, an ,operation parameter adjustment submodule, and a network stability optimization submodule;

[0124] The fault response planning submodule analyzes the fault type and severity based on the fault identification results, identifies the maintenance priority of the distribution terminal in combination with the importance of the distribution terminal equipment, sorts the maintenance priorities, formulates maintenance measures, and obtains fault response information;

[0125] The calculation formula for identifying the maintenance priority of the distribution terminal is:

[0126]

[0127] in, Indicates the maintenance priority. is the fault influence coefficient weight, Adjust the weight for the fault frequency, is the equipment importance weight coefficient, is the impact intensity of the actual fault, is the critical value of the fault impact, is the frequency of fault occurrence, The frequency threshold indicating the fault, Indicates the importance level of the current distribution terminal. is the sum of the importance levels of all distribution terminals in the system, Indicates the distance between the fault location of the distribution terminal and the maintenance point.

[0128] formula:

[0129]

[0130] Parameter meaning and acquisition method:

[0131] : Maintenance priority, which indicates the urgency and order of maintenance required for the equipment. The priority is calculated to determine the distribution terminal that most needs immediate maintenance among multiple fault points.

[0132] : Fault impact coefficient weight, used to balance the actual impact of the fault on the distribution network. This parameter is usually set through historical data analysis and expert judgment, with the aim of giving higher priority to faults with greater impact.

[0133] : Fault frequency adjustment weight. This weight is set to make high-frequency faults have a higher influence in the priority sorting. It is usually determined by analyzing the historical fault frequency and combining the long-term impact of the fault cause.

[0134] :Equipment importance weight coefficient, which reflects the criticality of the equipment in the power distribution system. This parameter is generally determined by analyzing the importance level of the equipment, its impact on the system, and its critical position in the system.

[0135] : The actual impact strength of the fault is determined by measuring the fluctuation of the equipment's operating parameters after the fault occurs. Monitoring the equipment's operating conditions, load changes, etc. can accurately reflect this value.

[0136] : The critical value of the fault impact, which indicates the highest impact value within the system tolerance range. It is determined by the safety standards and maximum load settings in the system design. Faults exceeding this value will be handled first.

[0137] :Fault frequency, which indicates the historical frequency of the fault. By analyzing the historical records of fault occurrence, the average frequency of fault occurrence in the past period of time is calculated.

[0138] : The frequency threshold of the fault is the maximum fault frequency that the system tolerates, which is usually set during system design. This value is specified in the system design standard, and faults exceeding this frequency will be directly regarded as emergency faults.

[0139] : The importance level of the equipment reflects the importance of the distribution terminal in the entire distribution system. This value is determined by analyzing the function of the equipment, its importance to the entire network and its location in the power grid.

[0140] : The sum of the importance levels of all distribution terminals in the system. The importance levels of all terminals in the entire distribution network are summed up to standardize the importance of the current equipment.

[0141] :The distance between the fault location and the maintenance point of the distribution terminal reflects the maintenance cost and time. It is determined by measuring the average distance between the equipment location and the maintenance team. Equipment that is farther away usually has a lower maintenance priority.

[0142] Calculation example:

[0143] Set the following parameter values: Fault influence coefficient weight , fault frequency adjustment weight , equipment importance weight coefficient , actual fault impact intensity , critical failure impact value , the frequency of failure , fault frequency threshold , equipment importance level , the sum of the importance levels of all terminals , the distance from the equipment to the maintenance point (unit distance).

[0144] According to the formula:

[0145]

[0146]

[0147]

[0148]

[0149] Calculation results Indicates the priority value of the device. The higher the value, the sooner the device needs to be repaired and the higher the priority.

[0150] The operating parameter adjustment submodule adjusts the power grid operating parameters based on the fault response information and the fault impact range, optimizes the stability of the distribution network, and obtains the adjusted operating parameters;

[0151] The operating parameter adjustment submodule operates according to the fault response information obtained, and adjusts the grid operating parameters to restore system stability according to different fault impact ranges. The adjustment process includes analyzing the impact of the fault type on the grid load. If the grid load in a certain area needs to be reduced, the operating frequency will be reduced or the load distribution will be adjusted. The simulation software is used to predict the performance of the adjusted grid to ensure the rationality and effectiveness of the adjustment measures. The real-time data monitoring system is used to continuously track the adjustment effect to ensure the optimal configuration of the grid operating parameters. Finally, the adjusted operating parameters are formed to provide a scientific basis for grid management and ensure the efficient operation of the distribution network under various conditions.

[0152] The network stability optimization submodule evaluates the impact of the adjustment measures on the distribution network based on the adjusted operating parameters, adjusts the operation strategy and maintenance plan of the power grid, matches the power grid load demand in the current and future periods, and obtains maintenance and dispatching instructions.

[0153] The network stability optimization submodule uses the adjusted operating parameters to comprehensively evaluate the stability of the power grid, and adjusts strategies and formulates maintenance plans based on the current operating status of the power grid and future predicted load demand. In this process, the power grid load data, operating efficiency and possible risk points are analyzed, and the operating strategy is optimized to ensure that the power grid can adapt to changing load conditions. According to the evaluation results, the maintenance plan is adjusted, such as arranging regular inspections and maintenance of key equipment. These adjustments and optimization measures form detailed maintenance and scheduling instructions to provide support for the long-term stable operation of the power grid.

[0154] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A distribution terminal communication network system based on WAPI, characterized in that: The system comprises: The power distribution data collection module collects the current, voltage and power data of the power distribution equipment regularly and in real time based on the power distribution terminal nodes, performs time synchronization and baseline calibration on the collected data, and obtains real-time load data; The power distribution data compression module compresses the load data based on the real-time load data, and performs routing marking on the compressed and encapsulated data packet to obtain a load compressed data packet; The data encryption processing module encrypts each data packet based on the payload compression data packet, authenticates the encrypted data stream through the WAPI standard, and obtains the data stream encryption processing result; The network parameter adjustment module adjusts the sending frequency of the data packet based on the data stream encryption processing result and the real-time network status to obtain the adjusted network configuration parameters; The power distribution anomaly identification module analyzes the power distribution data based on the adjusted network configuration parameters, monitors the power distribution network, analyzes the sudden changes and continuous abnormal patterns of the power grid data, locates the fault point, and obtains the fault identification result; The distribution dispatching and adjustment module formulates maintenance tasks for the distribution terminals based on the fault identification results, according to the fault type and severity, and adjusts the operation parameters of the power grid to obtain maintenance and dispatching instructions; The network parameter adjustment module includes: The network traffic evaluation submodule monitors the network load of the power distribution terminal in real time based on the data stream encryption processing result, evaluates the current network traffic and speed status, and obtains real-time traffic status information; The speed adjustment submodule dynamically adjusts the data transmission speed in the network based on the real-time traffic status information, reduces delays and improves data transmission efficiency, and obtains speed optimization information; The frequency configuration submodule adjusts the sending frequency of data packets based on the speed optimization information, according to the current network conditions and data transmission requirements, balances the network load and the transmission speed, optimizes the continuous stability of the communication, and obtains the adjusted network configuration parameters; The calculation formula for adjusting the sending frequency of the data packet is: in, Represents the adjusted sending frequency, Indicates the basic sending frequency, is the network load impact weight coefficient, is the speed difference adjustment factor, is the bandwidth weight coefficient, Indicates the current network load size. is the target network load, is the target data transmission speed, Indicates the current network data transmission rate. Represents the current available bandwidth, The minimum bandwidth limit.

2. The WAPI-based power distribution terminal communication network system according to claim 1, characterized in that: The real-time load data includes power consumption, current fluctuation and voltage stability indicators of distribution terminal nodes; the load compression data packet includes data compression strategy, compressed data integrity verification information and compression efficiency indicators; the data stream encryption processing results include encryption key list, key update log and encrypted data packet; the adjusted network configuration parameters include adjusted data packet sending frequency and bandwidth allocation information; the fault identification results include potential fault node locations in the power grid, fault type predictions and fault occurrence time; the maintenance and scheduling instructions include repair task lists for fault types and distribution parameter adjustment information.

3. The WAPI-based power distribution terminal communication network system according to claim 1, characterized in that: The power distribution data collection module comprises: The electrical parameter measurement submodule is based on the power distribution terminal node. It continuously monitors and records the current, voltage and power electrical parameters according to the set time interval. Through the data acquisition device, it reads the electrical output of the power distribution equipment in real time to obtain the electrical parameter record information. The data synchronization calibration submodule adds a time tag to the load data based on the electrical parameter recording information, optimizes the consistency of the data time, performs baseline calibration, adjusts the offset and error, and obtains calibration synchronization data; The load data integration submodule summarizes and organizes the load parameters based on the calibration synchronization data, unifies the format of the multi-source load data after time synchronization, and obtains real-time load data.

4. The WAPI-based power distribution terminal communication network system according to claim 1, characterized in that: The power distribution data compression module comprises: The algorithm selection submodule evaluates the characteristics and structure of the data based on the real-time load data, selects a compression algorithm that matches the current data characteristics, optimizes information loss, reduces data storage and transmission costs, and obtains an optimal compression strategy; The compression execution submodule compresses the payload data using a compression algorithm based on the preferred compression strategy, and adjusts the compression level according to the sensitivity and importance of the data to obtain a compressed data packet; The packet marking submodule performs packet processing based on the compressed data packets, adds routing and target information tags to each data packet, optimizes routing selection and data security during data transmission, and obtains load compressed data packets.

5. The WAPI-based power distribution terminal communication network system according to claim 1, characterized in that: The data encryption processing module includes: The encryption key management submodule compresses the data packet based on the load, allocates a unique encryption key to each data packet through a secure key generation algorithm, and sets a key library so that the key is updated every 24 hours to optimize the security of data transmission and obtain key management information; The data stream authentication submodule authenticates the encrypted data stream based on the key management information using the authentication mechanism of the WAPI standard, including verifying the integrity and security of the data packet, and obtaining authentication completion data; The authorization verification submodule performs authorization verification on the sender and receiver of each data packet based on the authentication completion data, verifies the identities of both parties by comparing the authorization information pre-stored in the database, verifies that the data is only received and sent by authorized users, and obtains the data stream encryption processing result.

6. The WAPI-based power distribution terminal communication network system according to claim 1, characterized in that: The power distribution abnormality identification module includes: The abnormal mode analysis submodule receives the distribution terminal data through the central processing device based on the adjusted network configuration parameters, detects the sudden changes and continuous abnormal modes in the distribution network data, identifies the power grid operation mode that does not meet the expectations, and obtains the abnormal mode recognition result; The data marking submodule marks the abnormal data item by item based on the abnormal pattern recognition result, including encoding the time, location, and impact range of the abnormality to obtain abnormal marking information; The fault location submodule uses the geographic information system to perform spatial and logical analysis on the marked abnormal data based on the abnormal marking information, and locates the occurrence location of each abnormal event in combination with the layout of the distribution network and the historical fault data comparison to obtain the fault identification result.

7. The WAPI-based power distribution terminal communication network system according to claim 1, characterized in that: The power distribution scheduling adjustment module includes: The fault response planning submodule analyzes the fault type and severity based on the fault identification result, identifies the maintenance priority of the distribution terminal in combination with the importance of the distribution terminal equipment, sorts the maintenance priority, formulates maintenance measures, and obtains fault response information; The operating parameter adjustment submodule adjusts the power grid operating parameters based on the fault response information and the fault impact range, optimizes the stability of the power distribution network, and obtains the adjusted operating parameters; The network stability optimization submodule evaluates the impact of the adjustment measures on the distribution network based on the adjusted operating parameters, adjusts the operation strategy and maintenance plan of the power grid, matches the power grid load demand in the current and future time periods, and obtains maintenance and dispatching instructions.

8. The WAPI-based power distribution terminal communication network system according to claim 7, characterized in that: The calculation formula for identifying the maintenance priority of the power distribution terminal is: in, Indicates the maintenance priority. is the fault influence coefficient weight, Adjust the weight for the fault frequency, is the equipment importance weight coefficient, is the impact intensity of the actual fault, is the critical value of the fault impact, is the frequency of fault occurrence, The frequency threshold indicating the fault, Indicates the importance level of the current distribution terminal. is the sum of the importance levels of all distribution terminals in the system, Indicates the distance between the fault location of the distribution terminal and the maintenance point.

Images