Signal synchronization transmission method and system for energy scheduling network

Abstract

The present application provides a signal synchronization transmission method and system for an energy scheduling network, which relates to the field of wireless power transmission technology, including: traversing multiple data transmission channels of the energy scheduling network to determine multiple scheduling nodes; collecting data according to node synchronization information to obtain a time synchronization information set; performing multi-channel fusion of multiple data transmission channels, and performing transmission analysis based on the fusion results; determining the synchronization simulation error value through synchronization simulation calculation to perform signal synchronization transmission; providing feedback based on the synchronization transmission results combined with the transmission network status information, dynamically adjusting the signal synchronization transmission suggestion, and formulating a synchronization transmission optimization strategy. This application can solve the technical problem in the prior art that errors caused by network delays or node inconsistencies in large-scale, multi-node energy scheduling networks easily occur, resulting in signal asynchrony between nodes. Through multi-channel fusion, the accuracy of signal synchronization transmission is improved.

Description

Technical Field

[0001] The present application relates to the field of wireless power transmission technology, and in particular to a signal synchronization transmission method and system for an energy scheduling network. Background Art

[0002] Signal synchronization plays a coordinating role in energy scheduling. Typically, energy scheduling networks determine the operating mode of each device based on real-time data (such as power load and energy storage battery status). In distributed networks, strict time synchronization is required between devices to ensure the accuracy of scheduling commands and data transmission. In energy scheduling networks, multi-node collaboration requires global consistency in signal synchronization across all nodes. In large-scale, multi-node systems, signal transmission is affected by network latency, especially across geographically diverse transmission channels. Latency can fluctuate significantly, resulting in different signal reception times at different nodes and causing synchronization errors. Furthermore, each node may have different hardware, clock sources, and computing power. This can lead to time deviations and inconsistencies between nodes, even under the same synchronization protocol. This increases the variance in time synchronization accuracy across nodes in the system.

[0003] In summary, the prior art has a technical problem in which errors caused by network delays or node inconsistencies easily occur in large-scale, multi-node energy scheduling networks, resulting in signal asynchrony between nodes. Summary of the Invention

[0004] The purpose of this application is to provide a signal synchronization transmission method and system for an energy scheduling network, so as to solve the technical problem in the prior art that errors caused by network delays or node inconsistencies easily occur in large-scale, multi-node energy scheduling networks, resulting in signal asynchrony between nodes.

[0005] In view of the above problems, the present application provides a signal synchronization transmission method and system for an energy scheduling network.

[0006] In the first aspect, the present application provides a signal synchronization transmission method for an energy scheduling network, which is implemented by a signal synchronization transmission system for an energy scheduling network, wherein the signal synchronization transmission method for an energy scheduling network includes: traversing multiple data transmission channels of the energy scheduling network, determining multiple scheduling nodes, performing time synchronization according to the multiple scheduling nodes, and generating node synchronization information; collecting data for the multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple scheduling nodes; performing multi-channel fusion on the multiple data transmission channels, performing transmission analysis on the multiple data transmission channels according to the fusion results, and formulating signal synchronization transmission suggestions; performing synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission suggestions, determining a synchronization simulation error value, executing the signal synchronization transmission suggestions in combination with the synchronization simulation error value to perform signal synchronization transmission, and obtaining a synchronization transmission result; providing feedback based on the synchronization transmission result in combination with the transmission network status information, generating synchronization transmission accuracy information, dynamically adjusting the signal synchronization transmission suggestions according to the synchronization transmission accuracy information, and formulating a synchronization transmission optimization strategy.

[0007] In a second aspect, the present application also provides a signal synchronization transmission system for an energy scheduling network, which is used to execute the signal synchronization transmission method for an energy scheduling network as described in the first aspect, wherein the signal synchronization transmission system for an energy scheduling network includes: a scheduling node determination module, which is used to traverse multiple data transmission channels of the energy scheduling network, determine multiple scheduling nodes, perform time synchronization based on the multiple scheduling nodes, and generate node synchronization information; a data acquisition module, which is used to collect data from the multiple scheduling nodes according to the node synchronization information, and obtain time synchronization information sets of the multiple scheduling nodes; a transmission analysis module, which is used to perform multi-channel fusion of the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels based on the fusion results, and formulate signal synchronization transmission recommendations; an error determination module, which is used to perform synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission recommendations, determine a synchronization simulation error value, execute the signal synchronization transmission recommendations in combination with the synchronization simulation error value to perform signal synchronization transmission, and obtain a synchronization transmission result; an optimization strategy formulation module, which is used to provide feedback based on the synchronization transmission result and transmission network status information, generate synchronization transmission accuracy information, dynamically adjust the signal synchronization transmission recommendations according to the synchronization transmission accuracy information, and formulate a synchronization transmission optimization strategy.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] By traversing multiple data transmission channels of the energy scheduling network, multiple scheduling nodes are determined, time synchronization is performed based on the multiple scheduling nodes, and node synchronization information is generated; data is collected from the multiple scheduling nodes based on the node synchronization information to obtain time synchronization information sets for the multiple scheduling nodes; the multiple data transmission channels are multi-channel fused, and transmission analysis is performed on the multiple data transmission channels based on the fusion results to formulate signal synchronization transmission recommendations; synchronization simulation calculations are performed on the time synchronization information sets of the multiple scheduling nodes based on the signal synchronization transmission recommendations to determine synchronization simulation error values, and the signal synchronization transmission recommendations are executed based on the synchronization simulation error values ​​to obtain synchronization transmission results; feedback is provided based on the synchronization transmission results and transmission network status information to generate synchronization transmission accuracy information, and the signal synchronization transmission recommendations are dynamically adjusted based on the synchronization transmission accuracy information to formulate a synchronization transmission optimization strategy. In other words, by traversing multiple data transmission channels and performing multi-channel fusion, a more comprehensive network status view is obtained, synchronization transmission accuracy information is generated, and the synchronization transmission recommendations are dynamically adjusted based on the feedback results, thereby improving the accuracy of signal synchronization transmission, thereby enhancing the real-time and reliability of signal synchronization transmission.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0012] Figure 1 This is a flow chart of the signal synchronization transmission method for energy scheduling network of the present application;

[0013] Figure 2 This is a structural diagram of the signal synchronization transmission system used in the energy scheduling network of this application.

[0014] Explanation of the accompanying drawings: scheduling node determination module 11, data collection module 12, transmission analysis module 13, error determination module 14, optimization strategy formulation module 15. DETAILED DESCRIPTION

[0015] This application provides a method and system for synchronous signal transmission in energy scheduling networks, addressing the existing technical issues of signal asynchrony between nodes, which can occur due to errors caused by network delays or node inconsistencies in large-scale, multi-node energy scheduling networks. By traversing multiple data transmission channels and performing multi-channel fusion, a more comprehensive view of the network status is obtained, synchronous transmission accuracy information is generated, and synchronous transmission recommendations are dynamically adjusted based on feedback results, thereby improving the accuracy of signal synchronous transmission and thus enhancing the real-time and reliability of signal synchronous transmission.

[0016] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0017] For example, see the attached Figure 1 The present application provides a signal synchronization transmission method for an energy scheduling network, wherein the signal synchronization transmission method for an energy scheduling network is performed by a signal synchronization transmission system for an energy scheduling network, and the signal synchronization transmission method for an energy scheduling network specifically includes the following steps:

[0018] S100: traverse multiple data transmission channels of the energy scheduling network, determine multiple scheduling nodes, perform time synchronization according to the multiple scheduling nodes, and generate node synchronization information.

[0019] Furthermore, the present application S100 includes:

[0020] The energy scheduling network is traversed to extract data from the multiple data transmission channels to determine multiple data streams; a depth-first search is performed based on the multiple data streams to generate channel search results; a network status analysis is performed according to the channel search results to generate multiple channel network status information; the multiple data transmission channels are identified according to the multiple channel network status information to determine multiple scheduling tags; the multiple scheduling tags are matched to the multiple data streams to determine the multiple scheduling nodes.

[0021] Specifically, an energy dispatch network is a system based on distributed computing and optimization technologies designed to manage and dispatch distributed energy resources (DERs), including renewable energy (such as photovoltaics and wind power), energy storage devices (such as batteries), loads, and other energy devices in microgrids. It is responsible for managing and dispatching the flow of energy between various nodes to ensure the efficiency and stability of the entire system. A data transmission channel refers to the data path or connection method used to transmit information in a network. It can be wired transmission (such as optical fiber and copper cable) or wireless transmission (such as Wi-Fi and cellular networks). In an energy dispatch network, data transmission channels are used to transmit real-time data in the power system, such as load demand, power generation information, and sensor data.

[0022] A data stream refers to a continuous stream of data packets transmitted from one node to another in a network. Multiple data transmission channels in the energy scheduling network are traversed to extract all data streams. After extracting the data streams, a depth-first search is performed based on the multiple data streams. Starting from a starting node, the algorithm searches as deeply as possible along a path in the network until it reaches a node with an unvisited adjacent node. It then backtracks and explores other paths to obtain channel search results. Depth-first search is a graph traversal algorithm that starts at a node in the graph and continues to traverse a branch until it reaches the end of the graph or there are no more adjacent nodes. It then backtracks to the previous node and continues traversing other branches. Channel search results refer to the available data transmission paths or connections found in the energy scheduling network using the depth-first search (DFS) algorithm. They represent channels or paths found in the network that can effectively transmit data.

[0023] Based on the channel search results, network status analysis is performed. By analyzing the DFS search results, critical channels and important nodes are identified. The status of these channels and nodes is monitored and analyzed to generate network status information, including metrics such as bandwidth, latency, and packet loss rate. Based on the channel network status information for each data transmission channel, a scheduling tag is assigned to each channel. In energy scheduling networks, a scheduling tag is a specific label or identifier that identifies each data transmission channel. It is used to mark the transmission path between nodes in the network, facilitating identification, management, and control during scheduling. For example, channel A has a bandwidth of 100 Mbps and a latency of 10 ms, and is identified as high bandwidth and low latency.

[0024] Multiple dispatch tags are matched with multiple data streams to determine the dispatch node corresponding to each data stream. Dispatching nodes are key nodes in the energy dispatch network, typically responsible for energy distribution, control, and dispatch tasks. They typically include power plants, substations, load centers, and other equipment. Data streams in the energy dispatch network are dynamically optimized and dispatched based on the network status and transmission conditions, improving the performance of the entire energy dispatch network, reducing latency and data loss, and enhancing the accuracy and real-time nature of energy dispatch.

[0025] Furthermore, the present application further comprises the following steps:

[0026] According to the multiple scheduling tags, the multiple data streams are correlated and analyzed to determine multiple data correlation coefficients, and the multiple data streams are connected based on the multiple data correlation coefficients to construct a network topology diagram; based on the network topology diagram, the multiple scheduling nodes are traversed and randomly selected to determine a master clock node, and the master clock node is used as the time base of the energy scheduling network to broadcast time to the remaining scheduling nodes to determine node time data; based on the node time data, the delay of the master clock node and the remaining scheduling nodes is calculated to obtain multiple round-trip delay information; according to the multiple round-trip delay information, the multiple scheduling nodes are time-synchronized and analyzed to generate synchronization signals; the synchronization signals are broadcast to the remaining scheduling nodes at preset time intervals through the master clock node for synchronization verification, and the node synchronization information is generated according to the verification results.

[0027] Specifically, correlation analysis is performed on multiple data streams based on multiple scheduling tags. By analyzing the relationships between data streams, such as interdependencies, traffic patterns, or data correlations, the data correlation coefficient is calculated between each pair of data streams. This correlation analysis identifies which data streams are highly correlated and which streams may require data from other streams for processing. The data correlation coefficient is a metric used to measure the relationship between two data streams, reflecting their correlation, such as dependencies in time, content, or transmission paths.

[0028] Using multiple data correlation coefficients, a network topology diagram of the energy scheduling network is constructed, showing the connection relationships between different scheduling nodes and the paths of data flows. In other words, based on the multiple data correlation coefficients between multiple data flows, multiple data flows are connected to construct a network topology diagram. By traversing multiple scheduling nodes through the network topology diagram, a node is randomly selected as the master clock node, which serves as the time reference for the entire energy scheduling network. The time of the master clock node serves as the reference time for synchronization of all nodes in the network. The master clock node is the node selected as the time reference in the energy scheduling network, responsible for generating a time signal and broadcasting it to other nodes to ensure time consistency across the network.

[0029] Time broadcasting involves a master clock node broadcasting a high-precision time signal to all other nodes in the network, thereby achieving time synchronization. The goal of time broadcasting is to enable all nodes to operate based on the same time reference. Upon receiving the broadcast, other nodes record their own time data, generating node time data—the time information for each node in the network.

[0030] The round-trip delay between the master clock node and other scheduling nodes is calculated based on the node time data. This is done based on the time difference between the master clock node and other nodes, as well as the message propagation time, to generate multiple round-trip delay information. This round-trip delay information refers to the time delay between the master clock node sending a time signal to a node and then returning to the master clock node. It is used to calculate the clock synchronization error between nodes.

[0031] Using multiple round-trip delays, the clocks of each scheduling node are analyzed for time synchronization. By comparing the time difference between the node's time data and the master clock node, each node's clock is adjusted to ensure synchronization with the master clock and eliminate any deviations between the node and the master clock. In other words, each node performs time correction based on the received signal and round-trip delay to ensure that the clocks of all nodes in the network remain consistent. The synchronization signal is a time signal generated by the master clock node and broadcast to other nodes, synchronizing the clocks of all nodes in the network.

[0032] The preset time interval refers to the fixed time interval for broadcasting synchronization signals. Typically, a defined interval, such as broadcasting a synchronization signal every certain number of milliseconds, is used to ensure that network nodes remain synchronized. The master clock node broadcasts the synchronization signal to other scheduling nodes at the preset interval. After receiving the synchronization signal, each node verifies that its clock is consistent with the master clock time. If there is clock deviation, the node performs a time correction. During the verification process, the difference between the node time and the master clock time is calculated. Each node records the timestamp of the signal broadcast by the master clock node and compares it with the timestamp of the master clock to calculate the clock deviation. If the deviation is too large, the time correction process is initiated. The verification process generates node synchronization information, including the time synchronization accuracy and verification results of each node.

[0033] Through correlation analysis, delay calculation and synchronization signal generation, all scheduling nodes are ensured to work under a unified time base, avoiding data errors and scheduling confusion caused by clock deviation. Through verification and clock adjustment, synchronization errors are identified, and synchronization accuracy is improved through further adjustment to ensure that the clock of each node is accurately synchronized.

[0034] S200: Collect data from multiple scheduling nodes according to the node synchronization information to obtain time synchronization information sets of the multiple scheduling nodes.

[0035] Specifically, data is collected from multiple scheduling nodes based on node synchronization information. This is automated through synchronization modules, sensors, or monitoring tools installed at each node, acquiring time synchronization-related data from each node, such as clock deviation, synchronization accuracy, and time difference. Synchronization information from multiple scheduling nodes is aggregated into a time synchronization information set, encompassing the synchronization status of multiple scheduling nodes. This helps analyze which nodes have high clock accuracy and which may require further synchronization adjustment. The time synchronization information set, obtained through the data collection process, contains the time synchronization status of multiple scheduling nodes, including synchronization accuracy, clock deviation, post-synchronization time, and error range for all scheduling nodes.

[0036] S300: performing multi-channel fusion on the multiple data transmission channels, performing transmission analysis on the multiple data transmission channels according to the fusion result, and formulating a signal synchronization transmission suggestion.

[0037] Furthermore, the present application S300 includes:

[0038] The method traverses the multiple data transmission channels to perform link evaluation, generates channel link scores, classifies and analyzes the multiple data transmission channels according to the channel link scores, and obtains multiple data transmission classes; introduces real-time network conditions, combines the multiple data transmission channels according to the real-time network conditions and the multiple data transmission classes, and obtains a fusion result; modulates and demodulates the multiple data transmission channels based on the fusion result, and generates signal impact factors, where the signal impact factors include signal attenuation factors and signal interference factors; performs transmission compensation on the multiple data transmission channels according to the signal attenuation factors, and determines signal compensation coefficients; performs channel estimation on the multiple data transmission channels according to the signal interference factors, and determines signal quality coefficients; performs signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients, and formulates the signal synchronization transmission recommendations.

[0039] Specifically, multiple data transmission channels are traversed, and a link assessment is performed on each channel to generate a channel link score. Each data transmission channel is assigned a score based on its transmission quality (such as latency, bandwidth, and stability). Link assessment is the process of evaluating the quality of a data transmission channel. It typically considers factors such as signal strength, latency, bandwidth, and reliability to determine the performance of each data transmission channel and, in turn, select an appropriate path for signal transmission. The channel link score is the performance score of each data transmission channel, given based on the link assessment results. Each channel is assigned a score based on its performance indicators (such as latency, bandwidth, and signal quality). A higher score indicates better channel quality, while a lower score indicates poorer quality.

[0040] Based on the channel link score, multiple data transmission channels are classified into different transmission classes. Channels within each class have similar performance characteristics. Data transmission classes refer to the classification of multiple data transmission channels based on link scores. Data transmission channels can be divided into different categories based on characteristics such as channel quality, bandwidth, and reliability. Each category of channels is suitable for different tasks or scenarios. For example, if there are multiple channels (A, B, and C), based on the link score, A and B can be classified as high-quality transmission channels, while C can be classified as low-quality transmission channels.

[0041] Real-time network conditions refer to the current state of the network, including real-time information such as traffic, bandwidth, latency, network load, and network failures. These conditions change over time, and therefore require real-time updates when selecting data transmission channels. By incorporating real-time network conditions and combining multiple data transmission channels into a fusion result, we combine multiple data transmission channels into a fusion result. This fusion result is the result of combining the channels.

[0042] Based on the fusion results, multiple data transmission channels are modulated and demodulated, and signals are encoded and decoded. Modulation converts data into a signal suitable for transmission, while demodulation restores the received signal to its original form. Within multiple transmission channels, modulation and demodulation operations can affect signal quality. Through modulation and demodulation, multiple data transmission channels are encoded and decoded. When multiple channels are used in combination, signal quality may be affected by attenuation and interference. Therefore, it is necessary to calculate the signal attenuation factor and signal interference factor to help assess signal transmission quality within the network. Signal impact factors refer to factors that affect signal quality during signal transmission, primarily including signal attenuation and signal interference. The signal attenuation factor indicates the loss of signal strength during transmission due to factors such as distance and physical medium, reflecting signal loss during transmission. A higher attenuation factor indicates poorer signal quality. The signal interference factor, on the other hand, indicates the impact of other signals on the transmitted signal. A higher interference factor indicates greater interference, potentially leading to increased errors at the receiving end.

[0043] Based on the signal attenuation factor, signal compensation is performed on multiple data transmission channels to determine the signal compensation coefficient. The signal attenuation factor measured during transmission is used to assess signal loss. The signal compensation coefficient is calculated based on factors such as signal attenuation, transmission distance, and medium characteristics. Channel estimation is performed based on the signal interference factor by analyzing the signal quality of multiple transmission channels. Signal information collected at the receiving end is used to estimate the signal interference and noise level. Channel estimation is performed based on the signal interference factor and the signal quality coefficient is calculated, reflecting the channel's transmission performance.

[0044] Based on signal compensation coefficients and signal quality coefficients, the system performs signal synchronization analysis on multiple data transmission channels to ensure synchronized signal transmission between different nodes. Based on the analysis results, it formulates signal synchronization recommendations, such as selecting the optimal channel, adjusting transmission timing, and improving signal quality to ensure signal transmission or optimize transmission timing. Through link assessment, signal compensation, and channel estimation, it optimizes signal transmission quality and reduces transmission delays, signal attenuation, and interference caused by poor network conditions.

[0045] Furthermore, the present application further comprises the following steps:

[0046] Perform delay analysis on the multiple data transmission channels according to the signal compensation coefficient and the signal quality coefficient to obtain delay distribution information; activate the master clock node to broadcast a time signal to the remaining scheduling nodes according to the delay distribution information, perform signal synchronization analysis on the multiple data transmission channels according to the time signal to obtain multiple signal synchronization requirement information; calculate the multiple data transmission channels according to the multiple signal synchronization requirement information to obtain multiple signal delay paths; perform weight allocation according to the multiple signal delay paths to obtain multiple weight coefficients, sort the multiple signal delay paths according to the multiple weight coefficients, and formulate path priorities; execute the multiple signal delay paths according to the path priorities to synchronize the multiple data transmission channels and formulate the signal synchronization transmission recommendations.

[0047] Specifically, based on the signal compensation coefficient and signal quality coefficient, delay analysis is performed on multiple data transmission channels to evaluate the time delay between each node during signal transmission, including signal propagation time, processing time, and queuing time. Delay analysis can provide information on the transmission delay distribution of signals along different channels. Based on this delay distribution information, the master clock node is activated to broadcast a time signal to other scheduling nodes. Based on the broadcast time signal, signal synchronization analysis is performed on multiple data transmission channels to obtain signal synchronization requirement information. This signal synchronization requirement information refers to the degree of signal synchronization requirement for each data transmission channel, determined based on delay analysis, including synchronization accuracy requirements and the time window required for synchronization. Signal synchronization analysis can identify which channels require synchronization processing and the urgency of synchronization.

[0048] Based on the signal synchronization requirements, multiple signal delay paths for multiple data transmission channels are calculated. This is the time path of each channel that a signal travels through when transmitting from the source node to the destination node, including signal propagation time and possible processing delays. A weight coefficient is calculated for each path, typically derived from the delay and signal quality coefficient. All paths are sorted according to the weight information, and path priority is determined based on the weight coefficient.

[0049] Based on the sorting results, i.e., path priority, synchronization processing is performed on multiple signal delay paths. Channels with higher path priority are synchronized first to ensure that the delay synchronization of important data streams is prioritized. After completing signal synchronization analysis and processing, signal synchronization transmission recommendations are generated. The synchronization processing results are summarized, and the final synchronization transmission strategy is formulated based on the path priority. Specific synchronization recommendations are provided for each transmission path to ensure that signals remain synchronized throughout the network. Synchronization transmission recommendations are based on path priority, delay analysis, and synchronization requirements, with the goal of optimizing the signal synchronization process across the entire network and improving the reliability and timeliness of data transmission. By analyzing and weighting signal delay paths, the priority and accuracy of signal synchronization processing can be ensured, thereby improving the synchronization performance of the entire network and reducing delay errors.

[0050] S400: Perform synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission suggestion, determine the synchronization simulation error value, execute the signal synchronization transmission suggestion in combination with the synchronization simulation error value to perform signal synchronization transmission, and obtain a synchronization transmission result.

[0051] Furthermore, the present application S400 includes:

[0052] Construct network simulation environment parameters, map the time synchronization information sets of the multiple scheduling nodes to the signal synchronization transmission suggestions according to the network simulation environment parameters, perform synchronization deviation calculation, and determine a synchronization simulation error value; feed back the synchronization simulation error value to the signal synchronization transmission suggestion, and determine whether the synchronization simulation error value is greater than or equal to a first expected error threshold; if the synchronization simulation error value is greater than or equal to the first expected error threshold, generate a synchronization deviation prompt, execute the signal synchronization transmission suggestion through the synchronization deviation prompt to activate the master clock node for synchronization analysis, and generate a first synchronization analysis result; execute the signal synchronization transmission suggestion through the synchronization deviation prompt to activate the remaining scheduling nodes for synchronization analysis, and generate a second synchronization analysis result set; determine whether the clock information of the first synchronization analysis result is consistent with the multiple clock information of the second synchronization analysis result set; if the clock information of the first synchronization analysis result is consistent with the multiple clock information of the second synchronization analysis result set, update the first expected error threshold according to the synchronization simulation error value to obtain a second expected error threshold; synchronize the second expected error threshold to the signal synchronization transmission suggestion for transmission analysis to obtain the synchronization transmission result.

[0053] Specifically, a simulation environment is constructed, encompassing the complete network topology (including all scheduling nodes and data transmission links), node load information, link latency, bandwidth limitations, signal interference sources, network traffic, and more. Network simulation environment parameters refer to various factors affecting signal transmission, synchronization, and latency in the simulated network, including network topology, node-to-node connectivity, load, bandwidth, latency, signal interference, and data flow. These parameters help evaluate network synchronization performance and transmission quality in a virtual environment. The network topology (nodes and links) is determined, and clock synchronization information such as local clock, clock deviation, and load are assigned to each node. Link transmission characteristics (bandwidth, latency, error, etc.) are configured, along with network interference factors and signal noise.

[0054] The time synchronization information sets of the identified multiple scheduling nodes are mapped to signal synchronization transmission recommendations. Information such as inter-node clock deviation and synchronization accuracy is combined with signal transmission requirements to generate an optimized synchronization transmission strategy for each node. After the mapping of the time synchronization information sets to the signal synchronization transmission recommendations is completed, synchronization deviation calculation is performed. By comparing the clock state (synchronization information set) of each node in the simulation with the expected synchronization target value, the synchronization error of each node is calculated. The purpose of synchronization deviation calculation is to check the clock synchronization effectiveness of each scheduling node and determine the effectiveness of the current synchronization strategy. By comparing the time synchronization information of each node with the expected target (usually zero deviation), the synchronization error between nodes is calculated, and the effectiveness of the current synchronization strategy is evaluated to determine whether adjustments are needed.

[0055] Synchronization deviation calculation compares the actual synchronization result with the expected synchronization target to calculate the synchronization error or deviation. The synchronization simulation error value refers to the error between node clocks calculated during the simulation process, reflecting the accuracy of the current synchronization scheme. Smaller errors indicate more accurate synchronization, while larger errors indicate less than ideal synchronization results.

[0056] The synchronization simulation error value is fed back into the signal synchronization transmission recommendation to determine whether it is greater than or equal to the first expected error threshold. The first expected error threshold is a pre-set tolerance range for synchronization errors and serves as the target accuracy standard for network synchronization. During the synchronization process, if the error exceeds this threshold, the system issues a deviation notification and initiates further adjustments. If the error value is greater than or equal to the threshold, a synchronization deviation notification is generated. The synchronization deviation notification is a warning signal indicating that the current synchronization error has exceeded the preset tolerance range and requires further adjustment of the synchronization strategy to reduce the error. The signal synchronization transmission recommendation is then executed based on the synchronization deviation notification. The master clock node is activated for synchronization analysis, resulting in a first synchronization analysis result. The synchronization accuracy of the master clock node is evaluated, which may include adjustments to clock frequency, clock deviation, and other factors. The remaining scheduling nodes are activated for synchronization analysis, resulting in a second synchronization analysis result set. The consistency of the multiple clock information in the first and second synchronization analysis result sets is determined. If they are consistent, the error is not sufficient to affect signal synchronization transmission, so the threshold range can be expanded and the expected error threshold updated. If they are inconsistent, signal synchronization transmission is already affected, and further synchronization strategy adjustments are required to reduce the error.

[0057] When the clock information from the first synchronization analysis result matches multiple clock information from the second synchronization analysis result set, the first expected error threshold is adjusted based on the synchronization simulation error value to obtain a second expected error threshold. The second expected error threshold is then synchronized with the signal synchronization transmission recommendation for transmission analysis. The synchronization transmission analysis is then repeated based on the new error threshold to obtain the synchronization transmission result. By accurately calculating and analyzing the synchronization simulation error, the synchronization strategy can be better adjusted, synchronization accuracy can be optimized, and the error threshold can be dynamically adjusted based on the synchronization analysis results, making the synchronization strategy more flexible and adaptable, thereby improving the data transmission quality and reliability of the entire network.

[0058] S500: Feedback is performed based on the synchronous transmission result in combination with the transmission network status information to generate synchronous transmission accuracy information, dynamically adjust the signal synchronous transmission suggestion according to the synchronous transmission accuracy information, and formulate a synchronous transmission optimization strategy.

[0059] Furthermore, the present application S500 includes:

[0060] Based on the synchronous transmission results, a transmission accuracy assessment is performed to determine multiple transmission accuracy indicators; a network performance monitoring channel is started to monitor the energy scheduling network in real time to generate transmission network status information; the synchronous transmission results are analyzed according to the multiple transmission accuracy indicators combined with the transmission network status information to determine the transmission compensation intensity parameters; transmission compensation is performed on the energy scheduling network according to the transmission compensation intensity parameters, and a matching assessment is performed based on the compensation results combined with the multiple transmission accuracy indicators to generate the synchronous transmission accuracy information.

[0061] Specifically, the transmission accuracy of the synchronous transmission results is evaluated, and the accuracy of the synchronous signal transmission process is assessed to assess whether the synchronous transmission process has achieved the expected accuracy standards and whether further compensation or optimization is needed. Clock error, synchronization deviation and other data from the synchronous transmission results are extracted, and transmission accuracy is evaluated according to predetermined accuracy standards, generating multiple transmission accuracy indicators such as synchronization error, delay, and signal interference level. The network performance monitoring channel is activated to monitor the status of the entire energy scheduling network in real time, obtain real-time network performance data, and ensure that the network status during the synchronous transmission process does not affect the transmission quality. The network performance monitoring channel is a channel specifically used to monitor network status and performance. By collecting network data in real time, it ensures that the network stability and performance meet the expected goals.

[0062] Start a network performance monitoring channel to ensure coverage of multiple transmission channels across the entire energy dispatch network. Use sensors or data acquisition modules to continuously monitor various aspects of the network, including but not limited to latency, bandwidth, and transmission rate. Generate comprehensive transmission network status information from real-time collected data, including the health status of all network channels, such as network latency, packet loss rate, and bandwidth utilization.

[0063] Synchronous transmission results are analyzed based on multiple transmission accuracy metrics and combined with transmission network status information for a comprehensive analysis. This analysis identifies parameters that require adjustment, such as delay compensation and signal attenuation compensation, and ultimately generates transmission compensation intensity parameters. Transmission compensation intensity parameters refer to the adjustment strength used during signal transmission compensation, used to optimize accuracy during synchronous signal transmission. These parameters typically include signal attenuation compensation, delay compensation, and other parameters.

[0064] By using a transmission compensation strength parameter, signal compensation is performed on each data transmission channel in the energy scheduling network. For example, if a data stream experiences significant delay or packet loss, compensation can be achieved by increasing retransmissions, using more efficient coding schemes, or adjusting the signal amplification level. The size of the compensation strength parameter determines the degree of compensation. Excessive compensation may lead to excessive signal enhancement, while too small a compensation may not effectively correct transmission errors. After the compensation operation is completed, the compensation effect is evaluated by combining multiple transmission accuracy indicators (such as delay and error rate). The effectiveness of the compensation measures is evaluated by comparing the difference between the compensated signal and the expected transmission quality indicators. Based on the matching evaluation of the compensation results and the transmission accuracy indicators, synchronization transmission accuracy information is generated. This is a comprehensive evaluation result that shows the accuracy of signal synchronization after the compensation measures, ensuring that the synchronization accuracy meets the expected target.

[0065] Evaluate the generated synchronization transmission accuracy information to determine areas for improvement. Based on the evaluation results, dynamically adjust signal synchronization transmission recommendations, including changing the synchronization protocol, adjusting the clock source, and optimizing routing paths. Based on the synchronization transmission accuracy information, determine the optimization strategy objectives, such as reducing latency and improving synchronization stability. Based on the optimization objectives, develop specific synchronization transmission optimization strategies, including link optimization, protocol optimization, parameter adjustment, and resource allocation. For example, if certain channels have a high packet loss rate, the optimization strategy may recommend increasing the number of retransmissions on that channel or increasing the redundancy of the transmitted signal. If significant signal attenuation is detected, it may be necessary to increase the signal amplification factor or select a different transmission channel for data transmission.

[0066] After implementing the optimized strategy, continue monitoring synchronization transmission accuracy to review the optimization results. If the optimization solution still does not meet expectations, the system can make further dynamic adjustments and gradually optimize the strategy until the desired synchronization accuracy and network stability are achieved. Through transmission accuracy assessment and compensation, signal synchronization accuracy is optimized and errors are reduced. In combination with real-time network status, transmission compensation parameters are dynamically adjusted for different network environments to ensure that good synchronization is maintained in all situations. Through precise transmission compensation, high transmission quality can be maintained even in the presence of network delays or interference, ensuring stable network operation.

[0067] In summary, the signal synchronization transmission method for energy scheduling network provided by this application has the following technical effects:

[0068] By traversing multiple data transmission channels of the energy scheduling network, multiple scheduling nodes are determined, time synchronization is performed based on the multiple scheduling nodes, and node synchronization information is generated; data is collected from the multiple scheduling nodes based on the node synchronization information to obtain time synchronization information sets for the multiple scheduling nodes; the multiple data transmission channels are multi-channel fused, and transmission analysis is performed on the multiple data transmission channels based on the fusion results to formulate signal synchronization transmission recommendations; synchronization simulation calculations are performed on the time synchronization information sets of the multiple scheduling nodes based on the signal synchronization transmission recommendations to determine synchronization simulation error values, and the signal synchronization transmission recommendations are executed based on the synchronization simulation error values ​​to obtain synchronization transmission results; feedback is provided based on the synchronization transmission results and transmission network status information to generate synchronization transmission accuracy information, and the signal synchronization transmission recommendations are dynamically adjusted based on the synchronization transmission accuracy information to formulate a synchronization transmission optimization strategy. In other words, by traversing multiple data transmission channels and performing multi-channel fusion, a more comprehensive network status view is obtained, synchronization transmission accuracy information is generated, and the synchronization transmission recommendations are dynamically adjusted based on the feedback results, thereby improving the accuracy of signal synchronization transmission, thereby enhancing the real-time and reliability of signal synchronization transmission.

[0069] Example 2: Based on the same inventive concept as the signal synchronization transmission method for energy scheduling network in the above-mentioned Example 1, this application also provides a signal synchronization transmission system for energy scheduling network, please refer to the attached Figure 2 , the signal synchronization transmission system for energy scheduling network includes:

[0070] A scheduling node determination module 11 is used to traverse multiple data transmission channels of the energy scheduling network, determine multiple scheduling nodes, perform time synchronization according to the multiple scheduling nodes, and generate node synchronization information; a data acquisition module 12 is used to collect data from multiple scheduling nodes according to the node synchronization information, and obtain time synchronization information sets of the multiple scheduling nodes; a transmission analysis module 13 is used to perform multi-channel fusion of the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels according to the fusion results, and formulate signal synchronization transmission recommendations; an error determination module 14 is used to perform synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission recommendations, determine the synchronization simulation error value, execute the signal synchronization transmission recommendations in combination with the synchronization simulation error value to perform signal synchronization transmission, and obtain synchronization transmission results; an optimization strategy formulation module 15 is used to provide feedback based on the synchronization transmission results in combination with the transmission network status information, generate synchronization transmission accuracy information, dynamically adjust the signal synchronization transmission recommendations according to the synchronization transmission accuracy information, and formulate a synchronization transmission optimization strategy.

[0071] Furthermore, the scheduling node determination module 11 in the signal synchronization transmission system for the energy scheduling network is further configured to:

[0072] The energy scheduling network is traversed to extract data from the multiple data transmission channels to determine multiple data streams; a depth-first search is performed based on the multiple data streams to generate channel search results; a network status analysis is performed according to the channel search results to generate multiple channel network status information; the multiple data transmission channels are identified according to the multiple channel network status information to determine multiple scheduling tags; the multiple scheduling tags are matched to the multiple data streams to determine the multiple scheduling nodes.

[0073] Furthermore, the scheduling node determination module 11 in the signal synchronization transmission system for the energy scheduling network is further configured to:

[0074] According to the multiple scheduling tags, the multiple data streams are correlated and analyzed to determine multiple data correlation coefficients, and the multiple data streams are connected based on the multiple data correlation coefficients to construct a network topology diagram; based on the network topology diagram, the multiple scheduling nodes are traversed and randomly selected to determine a master clock node, and the master clock node is used as the time base of the energy scheduling network to broadcast time to the remaining scheduling nodes to determine node time data; based on the node time data, the delay of the master clock node and the remaining scheduling nodes is calculated to obtain multiple round-trip delay information; according to the multiple round-trip delay information, the multiple scheduling nodes are time-synchronized and analyzed to generate synchronization signals; the synchronization signals are broadcast to the remaining scheduling nodes at preset time intervals through the master clock node for synchronization verification, and the node synchronization information is generated according to the verification results.

[0075] Furthermore, the transmission analysis module 13 in the signal synchronization transmission system for the energy scheduling network is further configured to:

[0076] The method traverses the multiple data transmission channels to perform link evaluation, generates channel link scores, classifies and analyzes the multiple data transmission channels according to the channel link scores, and obtains multiple data transmission classes; introduces real-time network conditions, combines the multiple data transmission channels according to the real-time network conditions and the multiple data transmission classes, and obtains a fusion result; modulates and demodulates the multiple data transmission channels based on the fusion result, and generates signal impact factors, where the signal impact factors include signal attenuation factors and signal interference factors; performs transmission compensation on the multiple data transmission channels according to the signal attenuation factors, and determines signal compensation coefficients; performs channel estimation on the multiple data transmission channels according to the signal interference factors, and determines signal quality coefficients; performs signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients, and formulates the signal synchronization transmission recommendations.

[0077] Furthermore, the transmission analysis module 13 in the signal synchronization transmission system for the energy scheduling network is further configured to:

[0078] Perform delay analysis on the multiple data transmission channels according to the signal compensation coefficient and the signal quality coefficient to obtain delay distribution information; activate the master clock node to broadcast a time signal to the remaining scheduling nodes according to the delay distribution information, perform signal synchronization analysis on the multiple data transmission channels according to the time signal to obtain multiple signal synchronization requirement information; calculate the multiple data transmission channels according to the multiple signal synchronization requirement information to obtain multiple signal delay paths; perform weight allocation according to the multiple signal delay paths to obtain multiple weight coefficients, sort the multiple signal delay paths according to the multiple weight coefficients, and formulate path priorities; execute the multiple signal delay paths according to the path priorities to synchronize the multiple data transmission channels and formulate the signal synchronization transmission recommendations.

[0079] Furthermore, the error determination module 14 in the signal synchronization transmission system for the energy scheduling network is further configured to:

[0080] Construct network simulation environment parameters, map the time synchronization information sets of the multiple scheduling nodes to the signal synchronization transmission suggestions according to the network simulation environment parameters, perform synchronization deviation calculation, and determine a synchronization simulation error value; feed back the synchronization simulation error value to the signal synchronization transmission suggestion, and determine whether the synchronization simulation error value is greater than or equal to a first expected error threshold; if the synchronization simulation error value is greater than or equal to the first expected error threshold, generate a synchronization deviation prompt, execute the signal synchronization transmission suggestion through the synchronization deviation prompt to activate the master clock node for synchronization analysis, and generate a first synchronization analysis result; execute the signal synchronization transmission suggestion through the synchronization deviation prompt to activate the remaining scheduling nodes for synchronization analysis, and generate a second synchronization analysis result set; determine whether the clock information of the first synchronization analysis result is consistent with the multiple clock information of the second synchronization analysis result set; if the clock information of the first synchronization analysis result is consistent with the multiple clock information of the second synchronization analysis result set, update the first expected error threshold according to the synchronization simulation error value to obtain a second expected error threshold; synchronize the second expected error threshold to the signal synchronization transmission suggestion for transmission analysis to obtain the synchronization transmission result.

[0081] Furthermore, the optimization strategy formulation module 15 in the signal synchronization transmission system for the energy scheduling network is further configured to:

[0082] Based on the synchronous transmission results, a transmission accuracy assessment is performed to determine multiple transmission accuracy indicators; a network performance monitoring channel is started to monitor the energy scheduling network in real time to generate transmission network status information; the synchronous transmission results are analyzed according to the multiple transmission accuracy indicators combined with the transmission network status information to determine the transmission compensation intensity parameters; transmission compensation is performed on the energy scheduling network according to the transmission compensation intensity parameters, and a matching assessment is performed based on the compensation results combined with the multiple transmission accuracy indicators to generate the synchronous transmission accuracy information.

[0083] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The signal synchronization transmission method and specific examples for the energy scheduling network in Example 1 are also applicable to the signal synchronization transmission system for the energy scheduling network in this embodiment. Through the detailed description of the signal synchronization transmission method for the energy scheduling network, those skilled in the art can clearly understand the signal synchronization transmission system for the energy scheduling network in this embodiment. Therefore, for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method description.

[0084] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0085] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A signal synchronization transmission method for an energy scheduling network, characterized in that: include: Traversing multiple data transmission channels of the energy scheduling network, determining multiple scheduling nodes, performing time synchronization according to the multiple scheduling nodes, and generating node synchronization information; Collect data from multiple scheduling nodes according to the node synchronization information to obtain time synchronization information sets of the multiple scheduling nodes; Perform multi-channel fusion on the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels based on the fusion results, and formulate signal synchronization transmission suggestions; Performing synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission suggestion, determining a synchronization simulation error value, executing the signal synchronization transmission suggestion in combination with the synchronization simulation error value to perform signal synchronization transmission, and obtaining a synchronization transmission result; Feedback is provided based on the synchronization transmission result in combination with the transmission network status information to generate synchronization transmission accuracy information, dynamically adjust the signal synchronization transmission suggestion according to the synchronization transmission accuracy information, and formulate a synchronization transmission optimization strategy; Performing multi-channel fusion on the multiple data transmission channels, performing transmission analysis on the multiple data transmission channels based on the fusion results, and formulating signal synchronization transmission suggestions, including: Traversing the multiple data transmission channels to perform link evaluation, generating channel link scores, and classifying and analyzing the multiple data transmission channels according to the channel link scores to obtain multiple data transmission classes; Introducing real-time network conditions, combining multiple data transmission channels according to the real-time network conditions and the multiple data transmission classes to obtain a fusion result; Modulating and demodulating the multiple data transmission channels based on the fusion result to generate signal impact factors, where the signal impact factors include a signal attenuation factor and a signal interference factor; Performing transmission compensation on the multiple data transmission channels according to the signal attenuation factor to determine a signal compensation coefficient; Performing channel estimation on the multiple data transmission channels according to the signal interference factors to determine signal quality coefficients; Performing signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficient and the signal quality coefficient, and formulating the signal synchronization transmission suggestion, including: performing delay analysis on the multiple data transmission channels according to the signal compensation coefficient and the signal quality coefficient to obtain delay distribution information; activating the master clock node to broadcast a time signal to the remaining scheduling nodes according to the delay distribution information, performing signal synchronization analysis on the multiple data transmission channels according to the time signal, and obtaining multiple signal synchronization requirement information; Calculating the multiple data transmission channels according to the multiple signal synchronization requirement information to obtain multiple signal delay paths; Performing weight allocation according to the multiple signal delay paths to obtain multiple weight coefficients, sorting the multiple signal delay paths according to the multiple weight coefficients, and determining path priorities; The multiple signal delay paths are executed according to the path priorities to synchronize the multiple data transmission channels and formulate the signal synchronization transmission suggestion.

2. The signal synchronization transmission method for energy scheduling network according to claim 1, characterized in that: Traverse multiple data transmission channels of the energy scheduling network and determine multiple scheduling nodes, including: Traversing the energy scheduling network to extract data from the multiple data transmission channels and determine multiple data streams; Performing a depth-first search based on the multiple data streams to generate a channel search result; Performing network status analysis according to the channel search results to generate multiple channel network status information; Identifying the multiple data transmission channels according to the multiple channel network status information and determining multiple scheduling tags; The multiple scheduling tags are matched with the multiple data flows to determine the multiple scheduling nodes.

3. The signal synchronization transmission method for energy scheduling network according to claim 2, characterized in that: Performing time synchronization according to the multiple scheduling nodes to generate node synchronization information includes: performing correlation analysis on the multiple data streams according to the multiple scheduling tags to determine multiple data correlation coefficients, and connecting the multiple data streams based on the multiple data correlation coefficients to construct a network topology graph; Based on the network topology graph, the plurality of scheduling nodes are randomly selected to determine a master clock node, and the master clock node is used as the time reference of the energy scheduling network to broadcast time to the remaining scheduling nodes to determine node time data; Calculate the time delay between the master clock node and the remaining scheduling nodes based on the node time data to obtain multiple round-trip delay information; Performing time synchronization analysis on the multiple scheduling nodes according to the multiple round-trip delay information to generate a synchronization signal; The master clock node broadcasts the synchronization signal to the remaining scheduling nodes at preset time intervals for synchronization verification, and generates the node synchronization information according to the verification result.

4. The signal synchronization transmission method for energy scheduling network according to claim 3, characterized in that: Performing a synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission suggestion, determining a synchronization simulation error value, executing the signal synchronization transmission suggestion in combination with the synchronization simulation error value to perform signal synchronization transmission, and obtaining a synchronization transmission result, including: Constructing network simulation environment parameters, mapping the time synchronization information sets of the multiple scheduling nodes to the signal synchronization transmission suggestions according to the network simulation environment parameters to perform synchronization deviation calculation and determine a synchronization simulation error value; Feeding back the synchronization simulation error value to the signal synchronization transmission suggestion, and determining whether the synchronization simulation error value is greater than or equal to a first expected error threshold; If the synchronization simulation error value is greater than or equal to the first expected error threshold, a synchronization deviation prompt is generated, and the signal synchronization transmission is performed according to the synchronization deviation prompt. It is recommended to activate the master clock node for synchronization analysis and generate a first synchronization analysis result; The signal synchronization transmission suggestion is performed by prompting the synchronization deviation to activate the remaining scheduling nodes for synchronization analysis, and generate a second synchronization analysis result set; Determining whether the clock information of the first synchronization analysis result is consistent with multiple clock information of the second synchronization analysis result set; If the clock information of the first synchronization analysis result is consistent with the multiple clock information of the second synchronization analysis result set, updating the first expected error threshold according to the synchronization simulation error value to obtain a second expected error threshold; The second expected error threshold is synchronized to the signal synchronous transmission suggestion to perform transmission analysis to obtain the synchronous transmission result.

5. The signal synchronization transmission method for energy scheduling network according to claim 1, characterized in that: The generating synchronous transmission accuracy information by feeding back the synchronous transmission result in combination with the transmission network status information includes: Performing a transmission accuracy evaluation based on the synchronous transmission result to determine a plurality of transmission accuracy indicators; Start the network performance monitoring channel to monitor the energy scheduling network in real time and generate transmission network status information; Analyze the synchronous transmission result according to the multiple transmission accuracy indicators and the transmission network status information to determine the transmission compensation strength parameter; The energy scheduling network is subjected to transmission compensation according to the transmission compensation intensity parameter, and a matching evaluation is performed based on the compensation result in combination with the multiple transmission accuracy indicators to generate the synchronous transmission accuracy information.

6. A signal synchronization transmission system for an energy dispatching network, characterized in that: Steps for implementing the signal synchronization transmission method for an energy scheduling network according to any one of claims 1 to 5, the signal synchronization transmission system for an energy scheduling network comprising: a scheduling node determination module, configured to traverse multiple data transmission channels of the energy scheduling network, determine multiple scheduling nodes, perform time synchronization based on the multiple scheduling nodes, and generate node synchronization information; A data acquisition module, configured to collect data from a plurality of scheduling nodes according to the node synchronization information, and obtain a time synchronization information set of the plurality of scheduling nodes; a transmission analysis module, configured to perform multi-channel fusion on the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels based on the fusion results, and formulate signal synchronization transmission suggestions; an error determination module, configured to perform a synchronization simulation calculation on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronization transmission suggestion, determine a synchronization simulation error value, execute the signal synchronization transmission suggestion in combination with the synchronization simulation error value, and perform signal synchronization transmission to obtain a synchronization transmission result; An optimization strategy formulation module is used to provide feedback based on the synchronization transmission results combined with the transmission network status information, generate synchronization transmission accuracy information, dynamically adjust the signal synchronization transmission suggestion according to the synchronization transmission accuracy information, and formulate a synchronization transmission optimization strategy.

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