Signal synchronous transmission method and system for energy scheduling network

Abstract

The invention provides a signal synchronous transmission method and system for an energy scheduling network, and relates to the technical field of wireless power transmission, and the method comprises the steps: traversing a plurality of data transmission channels of the energy scheduling network, and determining a plurality of scheduling nodes; performing data acquisition according to the node synchronization information to obtain a time synchronization information set; performing multi-channel fusion on the plurality of data transmission channels, and performing transmission analysis according to a fusion result; determining a synchronous simulation error value through synchronous simulation calculation, and performing signal synchronous transmission; and performing feedback according to a synchronous transmission result in combination with transmission network state information, dynamically adjusting signal synchronous transmission suggestions, and formulating a synchronous transmission optimization strategy. According to the method and the device, the technical problem that signals among nodes are asynchronous due to errors caused by network delay or node inconsistency in a large-scale and multi-node energy scheduling network in the prior art can be solved, and the precision of signal synchronous transmission is improved through multi-channel fusion.

Description

Technical Field

[0001] This application relates to the technical field of wireless power transmission, and particularly to a signal synchronous transmission method and system for an energy scheduling network. Background Art

[0002] Signal synchronization plays a coordinating role in energy scheduling. Usually, an energy scheduling network determines the operating modes of various devices based on real-time data (such as power load, energy storage battery status, etc.). In a distributed network, strict time synchronization is required between different devices to ensure the accuracy of scheduling commands and data transmission. In an energy scheduling network, multi-node collaborative work requires ensuring the global consistency of signal synchronization among nodes. In a large-scale, multi-node system, the signal transmission process is affected by network latency. Especially when crossing different geographical regions and different transmission channels, the latency fluctuation is large, resulting in different nodes receiving signals at different times, causing synchronization errors. In addition, the hardware, clock sources, and computing capabilities of each node may be different, resulting in time deviations and inconsistencies still existing between nodes even under the same synchronization protocol, increasing the difference in time synchronization accuracy among nodes in the system.

[0003] In summary, there is a technical problem in the prior art that due to errors caused by network latency or node inconsistencies easily occurring in a large-scale, multi-node energy scheduling network, the signals between nodes are out of sync. Summary of the Invention

[0004] The purpose of this application is to provide a signal synchronous transmission method and system for an energy scheduling network to solve the technical problem in the prior art that due to errors caused by network latency or node inconsistencies easily occurring in a large-scale, multi-node energy scheduling network, the signals between nodes are out of sync.

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

[0006] In a first aspect, the present application provides a signal synchronous transmission method for an energy scheduling network. The signal synchronous transmission method for the energy scheduling network is implemented by a signal synchronous transmission system for the energy scheduling network. Among them, the signal synchronous transmission method for the energy scheduling network includes: traversing multiple data transmission channels of the energy scheduling network, determining multiple scheduling nodes, synchronizing time according to the multiple scheduling nodes, and generating node synchronization information; collecting data from 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, analyzing the transmission of the multiple data transmission channels according to the fusion result, and formulating a signal synchronous transmission suggestion; performing synchronous simulation calculation on the time synchronization information set of the multiple scheduling nodes according to the signal synchronous transmission suggestion, determining a synchronous simulation error value, and performing signal synchronous transmission by combining the synchronous simulation error value with the signal synchronous transmission suggestion to obtain a synchronous transmission result; performing feedback according to the synchronous transmission result in combination with transmission network state information to generate synchronous transmission accuracy information, and dynamically adjusting the signal synchronous transmission suggestion according to the synchronous transmission accuracy information to formulate a synchronous transmission optimization strategy.

[0007] In a second aspect, the present application further provides a signal synchronous transmission system for an energy scheduling network, which is used to execute the signal synchronous transmission method for the energy scheduling network as described in the first aspect. Among them, the signal synchronous transmission system for the 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, synchronize time according to the multiple scheduling nodes, and generate node synchronization information; a data collection module, which is used to collect data from the multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple scheduling nodes; a transmission analysis module, which is used to perform multi-channel fusion on the multiple data transmission channels, analyze the transmission of the multiple data transmission channels according to the fusion result, and formulate a signal synchronous transmission suggestion; an error determination module, which is used to perform synchronous simulation calculation on the time synchronization information set of the multiple scheduling nodes according to the signal synchronous transmission suggestion, determine a synchronous simulation error value, and perform signal synchronous transmission by combining the synchronous simulation error value with the signal synchronous transmission suggestion to obtain a synchronous transmission result; an optimization strategy formulation module, which is used to perform feedback according to the synchronous transmission result in combination with transmission network state information to generate synchronous transmission accuracy information, and dynamically adjust the signal synchronous transmission suggestion according to the synchronous transmission accuracy information to formulate a synchronous transmission optimization strategy.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages: By traversing multiple data transmission channels of the energy scheduling network, multiple scheduling nodes are determined, time synchronization is performed according to the multiple scheduling nodes, and node synchronization information is generated; data collection is performed on the multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple scheduling nodes; the multiple data transmission channels are subjected to multi-channel fusion, transmission analysis is performed on the multiple data transmission channels according to the fusion result, and a signal synchronous transmission suggestion is formulated; the time synchronization information set of the multiple scheduling nodes is subjected to synchronous simulation calculation according to the signal synchronous transmission suggestion to determine a synchronous simulation error value, and the signal synchronous transmission suggestion is executed in combination with the synchronous simulation error value for signal synchronous transmission to obtain a synchronous transmission result; feedback is performed according to the synchronous transmission result in combination with the transmission network status information to generate synchronous transmission accuracy information, and the signal synchronous transmission suggestion is dynamically adjusted according to the synchronous transmission accuracy information to formulate a synchronous transmission optimization strategy. That is to say, by traversing multiple data transmission channels and performing multi-channel fusion, a more comprehensive network status view is obtained, synchronous transmission accuracy information is generated, and the signal synchronous transmission suggestion is dynamically adjusted according to the feedback result, improving the accuracy of signal synchronous transmission, thereby enhancing the real-time performance and reliability of signal synchronous transmission.

[0009] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically describes the embodiments of the present application. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary, and for those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0011] Figure 1 It is a flowchart of the signal synchronous transmission method for the energy scheduling network of the present application; Figure 2 It is a structural diagram of the signal synchronous transmission system for the energy scheduling network of the present application.

[0012] Description of the reference numerals: scheduling node determination module 11, data collection module 12, transmission analysis module 13, error determination module 14, optimization strategy formulation module 15. Detailed implementation manners

[0013] By providing a signal synchronous transmission method and system for an energy scheduling network, the present application solves the technical problem in the prior art that due to network delay or errors caused by node inconsistency in a large-scale and multi-node energy scheduling network, signal asynchronization occurs between nodes. By traversing multiple data transmission channels and performing multi-channel fusion, a more comprehensive network state view is obtained, synchronous transmission accuracy information is generated, and the synchronous transmission suggestion is dynamically adjusted according to the feedback result, improving the accuracy of signal synchronous transmission, thereby enhancing the real-time performance and reliability of signal synchronous transmission.

[0014] Next, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described herein. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application are shown in the accompanying drawings rather than all.

[0015] Embodiment 1. Please refer to the attached Figure 1 , the present application provides a signal synchronous transmission method for an energy scheduling network. Among them, the signal synchronous transmission method for an energy scheduling network is executed by a signal synchronous transmission system for an energy scheduling network. The signal synchronous transmission method for an energy scheduling network specifically includes the following steps: S100: Traverse multiple data transmission channels of the energy scheduling network, determine multiple scheduling nodes, and perform time synchronization according to the multiple scheduling nodes to generate node synchronization information.

[0016] Further, S100 of the present application includes: Traverse the energy scheduling network to extract data from the multiple data transmission channels to determine multiple data streams; perform a depth-first search based on the multiple data streams to generate a channel search result; perform network state analysis according to the channel search result to generate multiple channel network state information; identify the multiple data transmission channels according to the multiple channel network state information to determine multiple scheduling tags; match the multiple scheduling tags with the multiple data streams to determine the multiple scheduling nodes.

[0017] Specifically, the energy scheduling network is a system based on distributed computing and optimization technologies, aiming to manage and schedule distributed energy resources (DERs), including renewable energy sources (such as photovoltaic, wind power), energy storage devices (such as batteries), loads, and other energy devices in the microgrid. It is responsible for managing and scheduling the energy flow between various nodes to ensure the efficiency and stability of the entire system. The data transmission channel refers to the data path or connection method used to transmit information in the network, which can be wired transmission (such as optical fiber, copper cable) or wireless transmission (such as Wi-Fi, cellular network, etc.). In the energy scheduling network, the data transmission channel is used to transmit real-time data in the power system, such as load demand, generation information, sensor data, etc.

[0018] A data stream refers to a continuous packet of data transmitted from one node to another in the network. Traverse multiple data transmission channels in the energy scheduling network to extract all data streams. After extracting the data streams, perform a depth-first search based on the multiple data streams. Starting from a starting node, the algorithm will search as deep as possible along a path in the network until it reaches a node of an unvisited adjacent node, then backtrack and explore other paths to obtain the channel search result. Depth-first search is a graph traversal algorithm that starts from a node in the graph and continuously delves along a branch until it reaches the end of the graph or there are no more adjacent nodes, then backtracks to the previous node and continues to traverse other branches. The channel search result refers to the available data transmission paths or connections found through the depth-first search (DFS) algorithm in the energy scheduling network, representing the channels or paths that can effectively transmit data in the network.

[0019] Perform network status analysis based on the channel search result. By analyzing the search result generated by DFS, determine which channels are critical paths and which nodes are important nodes. Monitor and analyze the status of these channels and nodes to generate network status information, including metrics such as bandwidth, latency, packet loss rate, etc. According to the channel network status information of each data transmission channel, assign a scheduling label to each channel. The scheduling label refers to a specific marker or identifier that identifies each data transmission channel in the energy scheduling network, used to label the transmission paths between nodes in the network for identification, management, and control during the scheduling process. For example, channel A has a bandwidth of 100 Mbps and a latency of 10 ms, and is labeled as high bandwidth and low latency.

[0020] Match multiple scheduling tags with multiple data streams to determine the scheduling nodes corresponding to each data stream. Scheduling nodes are key nodes in the energy scheduling network, usually responsible for energy allocation, control, and scheduling tasks, and typically include devices such as power generation stations, substations, and load centers. The data streams in the energy scheduling network are dynamically optimized and scheduled according to the network status and transmission conditions to improve the performance of the entire energy scheduling network, reduce latency and data loss, and enhance the accuracy and real-time nature of energy scheduling.

[0021] Further, this application also includes the following steps: Perform correlation analysis on the multiple data streams according to the multiple scheduling tags, determine multiple data correlation coefficients, connect the multiple data streams based on the multiple data correlation coefficients, and construct a network topology graph; traverse the multiple scheduling nodes based on the network topology graph for random selection to determine the master clock node, use the master clock node as the time reference for the energy scheduling network to broadcast time to the remaining scheduling nodes, and determine the node time data; calculate the round-trip delay between the master clock node and the remaining scheduling nodes based on the node time data to obtain multiple round-trip delay information; perform time synchronization analysis on the multiple scheduling nodes according to the multiple round-trip delay information to generate a synchronization signal; broadcast the synchronization signal to the remaining scheduling nodes at a preset time interval through the master clock node for synchronization verification, and generate the node synchronization information according to the verification result.

[0022] Specifically, perform correlation analysis on the multiple data streams according to the multiple scheduling tags. By analyzing the relationships between data streams, such as interdependencies, traffic patterns, or data correlations, calculate the data correlation coefficients between each pair of data streams. Through correlation analysis, identify which data streams are highly correlated and which streams may need to rely on the data of other streams for processing. The data correlation coefficient is an index used to measure the mutual relationship between two data streams, reflecting the correlation between the two data streams, such as dependencies in time, content, or transmission path.

[0023] Based on the multiple data correlation coefficients, further construct the network topology graph of the energy scheduling network, which represents the connection relationships between different scheduling nodes and the paths of data streams. That is, connect the multiple data streams according to the multiple data correlation coefficients between the multiple data streams to construct the network topology graph. Traverse the multiple scheduling nodes through the network topology graph and randomly select a node as the master clock node, which serves as the time reference for the entire energy scheduling network. The time of the master clock node will be used as the reference time for synchronization of all nodes in the network. The master clock node refers to the node selected as the time reference in the energy scheduling network, which is responsible for generating time signals and broadcasting them to other nodes to ensure the consistency of the times of each node in the network.

[0024] Time broadcasting means that the master clock node broadcasts high-precision time signals to all other nodes in the network, thereby achieving time synchronization among all nodes. The goal of time broadcasting is to enable all nodes to operate based on the same time reference. After receiving the broadcast, other nodes record their own time data to obtain node time data, that is, the time information of each node in the network.

[0025] Calculate the round-trip delay between the master clock node and other scheduling nodes according to the node time data, that is, calculate the round-trip delay based on the time difference between the master clock node and other nodes and the message propagation time, and obtain multiple round-trip delay information. The round-trip delay information refers to the time delay from the master clock node sending a time signal to a certain node and then returning to the master clock node, which is used to calculate the clock synchronization error between nodes.

[0026] Through multiple round-trip delay information, perform time synchronization analysis on the clocks of each scheduling node. By comparing the time difference between the node time data and the master clock node, adjust the clocks of each node to ensure synchronization with the master clock and eliminate the deviation between the node clock and the master clock. That is to say, each node performs time correction according to the received signal and the round-trip delay to ensure that the clocks of all nodes in the network are consistent. The synchronization signal refers to the time signal generated by the master clock node and broadcast to other nodes, which is used to synchronize the clocks of all nodes in the network.

[0027] The preset time interval refers to the fixed time interval for synchronizing signal broadcasting. Usually, a time interval is defined, such as broadcasting a synchronization signal every certain number of milliseconds, to ensure that network nodes always remain synchronized. The master clock node broadcasts the synchronization signal to other scheduling nodes according to the preset time interval. After each node receives the synchronization signal, it will verify whether its clock is consistent with the time of the master clock. If there is a clock deviation, the node will perform time correction. During the verification process, calculate the difference between the node time and the master clock time. Each node records the timestamp of the master clock node's broadcast signal, compares it with the timestamp of the master clock, calculates the clock deviation, and starts the time correction process if the deviation is too large. Through the verification process, generate node synchronization information, including the time synchronization accuracy and verification result of each node.

[0028] Through correlation analysis, delay calculation, and synchronization signal generation, ensure that all scheduling nodes work under a unified time reference, avoid data errors and scheduling chaos caused by clock deviation, identify synchronization errors through verification and clock adjustment, and improve synchronization accuracy through further adjustment to ensure that the clocks of each node are accurately synchronized.

[0029] S200: Collect data from multiple scheduling nodes according to the node synchronization information to obtain the time synchronization information set of the multiple scheduling nodes.

[0030] Specifically, according to the node synchronization information, data collection is performed on multiple scheduling nodes. Automatic collection is carried out through the synchronization modules, sensors or monitoring tools installed on each node, and data related to time synchronization, such as clock deviation, synchronization accuracy, time difference, etc., is obtained from each node. The synchronization information from multiple scheduling nodes is aggregated to form a time synchronization information set, which includes the synchronization status of multiple scheduling nodes, and helps to analyze which nodes have higher clock accuracy and which nodes may need further adjustment of synchronization. The time synchronization information set is a set containing the time synchronization status of multiple scheduling nodes obtained through the data collection process, including the synchronization accuracy, clock deviation, time after synchronization, error range, etc. of all scheduling nodes.

[0031] S300: Perform multi-channel fusion on the multiple data transmission channels, conduct transmission analysis on the multiple data transmission channels according to the fusion result, and formulate signal synchronization transmission suggestions.

[0032] Furthermore, S300 of the present application includes: Traverse the multiple data transmission channels for link evaluation, generate channel link scores, classify and analyze the multiple data transmission channels according to the channel link scores to obtain multiple data transmission classes; introduce real-time network conditions, combine the multiple data transmission channels according to the real-time network conditions and the multiple data transmission classes to obtain a fusion result; perform modulation and demodulation on the multiple data transmission channels based on the fusion result to generate signal impact factors, where the signal impact factors include signal attenuation factors and signal interference factors; perform transmission compensation on the multiple data transmission channels according to the signal attenuation factors to determine signal compensation coefficients; perform channel estimation on the multiple data transmission channels according to the signal interference factors to determine signal quality coefficients; conduct signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients, and formulate the signal synchronization transmission suggestions.

[0033] Specifically, traverse multiple data transmission channels, perform link evaluation on each data transmission channel to generate channel link scores, and each data transmission channel will be assigned a score according to its transmission quality (such as delay, bandwidth, stability, etc.). Link evaluation is a process of evaluating the quality of data transmission channels, usually considering factors such as signal strength, delay, bandwidth, reliability, etc., to determine the performance of each data transmission channel, and then select a suitable path for signal transmission. The channel link score refers to the performance score of each data transmission channel given according to the link evaluation result. Each channel obtains a score according to its performance indicators (such as delay, bandwidth, signal quality, etc.), a higher score indicates better channel quality, and a lower score indicates poorer quality.

[0034] Based on the channel link score, multiple data transmission channels are classified to form different transmission classes. The channels in each class have similar performance characteristics. A data transmission class refers to the classification of multiple data transmission channels according to the link score. According to characteristics such as the quality, bandwidth, and reliability of the channels, the data transmission channels can be divided into different categories, and the channels in each category are suitable for different tasks or scenarios. For example, if there are multiple channels (A, B, C), according to the link score, A and B are classified into the high-quality transmission class, and C is classified into the low-quality transmission class.

[0035] 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 faults, which change over time. Therefore, when selecting a data transmission channel, it is necessary to update it in real time. By introducing real-time network conditions and combining multiple data transmission classes, multiple data transmission channels are combined to obtain a fusion result. The fusion result refers to the result after the channels are combined.

[0036] According to the fusion result, multiple data transmission channels are modulated and demodulated, and the signals are encoded and decoded. Modulation converts the data into signals suitable for transmission, and demodulation restores the received signals to the original data. In multiple transmission channels, the modulation and demodulation operations can affect the signal quality. Through modulation and demodulation, multiple data transmission channels are encoded and decoded. When multiple channels are used in combination, the signal quality may be affected by attenuation and interference. Therefore, it is necessary to calculate the signal attenuation factor and the signal interference factor, which helps to evaluate the signal transmission quality in the network. The signal impact factor refers to the factors that affect the signal quality during signal transmission, mainly including the signal attenuation factor and the signal interference factor. The signal attenuation factor indicates the intensity loss of the signal during transmission due to factors such as distance and physical medium, reflecting the loss of the signal during transmission. The larger the attenuation factor, the worse the signal quality. The signal interference factor indicates the impact of other signals on the transmitted signal. The higher the interference factor, the greater the interference to the signal, which may lead to an increase in errors at the receiving end.

[0037] According to the signal attenuation factor, signal compensation is performed on multiple data transmission channels to determine the signal compensation coefficient. Based on the signal attenuation factor measured during transmission, the signal loss is evaluated, and the signal compensation coefficient is calculated based on factors such as the attenuation amount of the signal, the transmission distance, and the characteristics of the medium. By analyzing the signal quality of multiple transmission channels, channel estimation is performed according to the signal interference factor. By collecting the signal information at the signal receiving end, the interference degree and noise level of the signal are estimated, and channel estimation is performed according to the signal interference factor to calculate the signal quality coefficient, which reflects the transmission performance of the channel.

[0038] Perform signal synchronization analysis on multiple data transmission channels according to the signal compensation coefficient and the signal quality coefficient to ensure the synchronous transmission of signals between different nodes. Based on the analysis results, formulate suggestions for signal synchronous transmission, such as selecting the best channel, adjusting the transmission timing, improving the signal quality, etc. to perform signal transmission or optimize the transmission timing. Optimize the signal transmission quality through link evaluation, signal compensation, and channel estimation, and reduce the transmission delay, signal attenuation, and interference caused by poor network conditions.

[0039] Furthermore, the present application further includes the following steps: 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, and perform signal synchronization analysis on the multiple data transmission channels according to the time signal to obtain multiple signal synchronization requirement information; perform calculations on the multiple data transmission channels according to the multiple signal synchronization requirement information to obtain multiple signal delay paths; perform weight assignment on 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; perform synchronous processing on the multiple data transmission channels according to the multiple signal delay paths according to the path priorities, and formulate the signal synchronous transmission suggestions.

[0040] Specifically, perform delay analysis on multiple data transmission channels according to the signal compensation coefficient and the signal quality coefficient, and evaluate the time delay between each node during signal transmission, including signal propagation time, processing time, queuing time, etc. Through delay analysis, the transmission delay distribution information of the signal on different channels can be obtained. According to the delay distribution information, activate the master clock node to broadcast a time signal to other scheduling nodes. According to the broadcast time signal, perform signal synchronization analysis on multiple data transmission channels to obtain signal synchronization requirement information. The signal synchronization requirement information refers to determining the degree of signal synchronization required for each data transmission channel based on delay analysis, including the accuracy requirement for synchronization and the time window required for synchronization, etc. Through signal synchronization analysis, identify which channels need synchronous processing and the urgency of synchronization.

[0041] Calculate the multiple signal delay paths of multiple data transmission channels according to the signal synchronization requirement information, that is, the time paths of each channel passed by the signal when it is transmitted from the source node to the destination node, including signal propagation time and possible processing delays. Calculate the weight coefficient of each path, usually obtained by calculating the size of the delay and the signal quality coefficient. Sort all paths according to multiple weight information, and determine the path priority according to the weight coefficient.

[0042] According to the sorting result, i.e., the path priority, perform synchronous processing on multiple signal delay paths. Channels with higher path priority will be synchronized first to ensure that the delay synchronization of important data streams is preferentially guaranteed. After completing signal synchronization analysis and processing, generate signal synchronous transmission suggestions. Summarize the synchronous processing results and formulate the final synchronous transmission strategy according to the path priority. Provide specific synchronous suggestions for each transmission path to ensure that signals in the entire network are synchronized. The synchronous transmission suggestions are based on path priority, delay analysis, and synchronization requirements, aiming to optimize the signal synchronization process of the entire network and improve the reliability and timeliness of data transmission. By analyzing and assigning weights to 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.

[0043] S400: Synchronously simulate and calculate the time synchronization information sets of the multiple scheduling nodes according to the signal synchronous transmission suggestions, determine the synchronous simulation error value, and perform signal synchronous transmission by combining the synchronous simulation error value with the signal synchronous transmission suggestions to obtain the synchronous transmission result.

[0044] Furthermore, S400 of this application includes: Construct network simulation environment parameters, map the time synchronization information sets of the multiple scheduling nodes to the signal synchronous transmission suggestions according to the network simulation environment parameters for synchronous deviation calculation to determine the synchronous simulation error value; feedback the synchronous simulation error value to the signal synchronous transmission suggestions, and judge whether the synchronous simulation error value is greater than or equal to the first expected error threshold; if the synchronous simulation error value is greater than or equal to the first expected error threshold, generate a synchronous deviation prompt, activate the master clock node for synchronous analysis by executing the signal synchronous transmission suggestions through the synchronous deviation prompt to generate a first synchronous analysis result; activate the remaining scheduling nodes for synchronous analysis by executing the signal synchronous transmission suggestions through the synchronous deviation prompt to generate a second set of synchronous analysis results; judge whether the clock information of the first synchronous analysis result is consistent with the multiple clock information of the second set of synchronous analysis results; if the clock information of the first synchronous analysis result is consistent with the multiple clock information of the second set of synchronous analysis results, update the first expected error threshold according to the synchronous simulation error value to obtain a second expected error threshold; synchronize the second expected error threshold to the signal synchronous transmission suggestions for transmission analysis to obtain the synchronous transmission result.

[0045] Specifically, a simulation environment is constructed, which includes a complete network topology (including all scheduling nodes and data transmission links), load information of each node, link delay, bandwidth limit, signal interference sources, network traffic, etc. Network simulation environment parameters refer to various factors in the simulated network that affect signal transmission, synchronization, and time delay, including network topology, connection methods between nodes, load, bandwidth, time delay, signal interference, data flow, etc., which can help evaluate the synchronization performance and transmission quality of the network in a virtual environment. Determine the network topology (nodes, links), assign clock synchronization information to each node, such as local clock, clock deviation, load, etc., configure the transmission characteristics of the link (bandwidth, delay, error, etc.), and set network interference factors and signal noise.

[0046] Map the time synchronization information set of the determined multiple scheduling nodes to the signal synchronous transmission suggestion, combine information such as clock deviation and synchronization accuracy between nodes with the requirements of signal transmission to generate an optimized synchronous transmission strategy for each node. After completing the mapping of the time synchronization information set and the signal synchronous transmission suggestion, perform a synchronization deviation calculation. By comparing the clock status (synchronization information set) of each node in the simulation with the expected synchronization target value, calculate the synchronization error of each node. The purpose of the synchronization deviation calculation is to check the clock synchronization effect of each scheduling node and determine whether the current synchronization strategy is effective. Compare the time synchronization information of each node with the expected target (usually zero deviation), calculate the synchronization error between nodes, evaluate the effect of the current synchronization strategy, and determine whether adjustment is needed.

[0047] The synchronization deviation calculation is to calculate the synchronization error or deviation by comparing the difference between the actual synchronization result and the expected synchronization target. The synchronous simulation error value refers to the error between the node clocks calculated during the simulation process, which reflects the accuracy of the current synchronization scheme. The smaller the error, the more precise the synchronization; the larger the error, the less satisfactory the synchronization effect.

[0048] Feed the synchronous analog error value back into the signal synchronous transmission suggestion, and determine whether the synchronous analog error value is greater than or equal to the first expected error threshold. The first expected error threshold refers to the initially set synchronous error tolerance range, which is the target accuracy standard for network synchronization. During the synchronization process, if the error exceeds this threshold, the system will issue a deviation prompt and make further adjustments. If the error value is greater than or equal to the threshold, a synchronous deviation prompt is generated. The synchronous deviation prompt is a warning signal indicating that the current synchronization error has exceeded the preset tolerance range, suggesting that the synchronous strategy needs to be further adjusted to reduce the error. At this time, execute the signal synchronous transmission suggestion according to the synchronous deviation prompt, activate the master clock node for synchronous analysis, and obtain the first synchronous analysis result. Evaluate the synchronization accuracy of the master clock node, which may include adjustments to clock frequency, clock deviation, etc. Activate the remaining scheduling nodes for synchronous analysis to obtain the second set of synchronous analysis results. Determine whether the first synchronous analysis result is consistent with the multiple clock information in the second set of synchronous analysis results. If they are consistent, it means that the current error is not sufficient to affect the signal synchronous transmission, so the threshold range can be expanded and the expected error threshold is updated; if they are inconsistent, it means that the signal synchronous transmission has been affected and the synchronous strategy needs to be further adjusted to reduce the error.

[0049] When the clock information of the first synchronous analysis result is consistent with the multiple clock information in the second set of synchronous analysis results, adjust the first expected error threshold according to the synchronous analog error value to obtain the second expected error threshold. Then synchronize the second expected error threshold to the signal synchronous transmission suggestion for transmission analysis, and re - conduct synchronous transmission analysis according to the new error threshold to obtain the synchronous transmission result. By accurately calculating and analyzing the synchronous analog error, better adjust the synchronous strategy, optimize the synchronization accuracy, dynamically adjust the error threshold according to the synchronous analysis result, make the synchronous strategy more flexible and adaptable, thereby improving the data transmission quality and reliability of the entire network.

[0050] S500: Feedback according to the synchronous transmission result in combination with the transmission network status information to generate synchronous transmission accuracy information, and dynamically adjust the signal synchronous transmission suggestion according to the synchronous transmission accuracy information to formulate a synchronous transmission optimization strategy.

[0051] Further, step S500 of the present application includes: Conduct a transmission accuracy assessment based on the synchronous transmission result to determine multiple transmission accuracy indicators; start a network performance monitoring channel to monitor the energy scheduling network in real - time to generate transmission network status information; analyze the synchronous transmission result according to the multiple transmission accuracy indicators in combination with the transmission network status information to determine the transmission compensation strength parameter; perform transmission compensation on the energy scheduling network according to the transmission compensation strength parameter, and conduct a matching assessment according to the compensation result in combination with the multiple transmission accuracy indicators to generate the synchronous transmission accuracy information.

[0052] Specifically, evaluate the transmission accuracy of the synchronous transmission result, assess the accuracy during the synchronous signal transmission process, and determine whether the expected accuracy standard is achieved during the synchronous transmission process and whether further compensation or optimization is required. Extract data such as clock error and synchronization deviation in the synchronous transmission result, and conduct transmission accuracy evaluation according to the predetermined accuracy standard to generate multiple transmission accuracy indicators, such as synchronization error, time delay, signal interference degree, etc. Activate the network performance monitoring channel to monitor the status of the entire energy scheduling network in real time, obtain real-time network performance data, and ensure that the network conditions during the synchronous transmission process do not affect the transmission quality. The network performance monitoring channel is a dedicated channel for monitoring network status and performance. By collecting network data in real time, it ensures that the stability and performance of the network reach the expected goals.

[0053] Activate the network performance monitoring channel to ensure coverage of multiple transmission channels throughout the energy scheduling network. Continuously monitor all aspects of the network through sensors or data acquisition modules, including but not limited to time delay, bandwidth, transmission rate, etc. Generate a comprehensive transmission network status information from the real-time collected data, including the health status of all network channels, such as network latency, packet loss rate, bandwidth utilization, etc.

[0054] Analyze the synchronous transmission result based on multiple transmission accuracy indicators in combination with the transmission network status information. Combine multiple transmission accuracy indicators with the transmission network status information for comprehensive analysis. Based on the analysis results, determine the parameters that need to be adjusted, such as time delay compensation, signal attenuation compensation, etc., and finally generate the transmission compensation strength parameter. The transmission compensation strength parameter refers to the adjustment strength used during signal transmission compensation to optimize the accuracy problem in signal synchronous transmission, usually including parameters such as signal attenuation compensation and time delay compensation.

[0055] Perform signal compensation on each data transmission channel in the energy scheduling network through the transmission compensation strength parameter. For example, if there is a large time delay or packet loss in the transmission of a certain data stream, compensate by means such as increasing retransmission, using a more efficient coding scheme, or adjusting the signal amplification degree. The magnitude of the compensation strength parameter determines the degree of compensation. Excessive compensation may lead to over-enhanced signals, while too little may not effectively repair the transmission error. After the compensation operation, combine multiple transmission accuracy indicators (such as delay, error rate, etc.) to conduct a matching evaluation of the compensation effect. By comparing the difference between the compensated signal and the expected transmission quality indicators, evaluate the effect of the compensation measures. Generate synchronous transmission accuracy information based on the matching evaluation of the compensation result and the transmission accuracy indicators. This is a comprehensive evaluation result showing the accuracy of signal synchronization after the compensation measures to ensure that the synchronous accuracy reaches the expected goal.

[0056] Evaluate the generated synchronous transmission accuracy information to determine which aspects need improvement. According to the evaluation results, dynamically adjust the signal synchronous transmission suggestions, including changing the synchronization protocol, adjusting the clock source, optimizing the routing path, etc. Based on the synchronous transmission accuracy information, determine the goals of the optimization strategy, such as reducing latency and improving synchronization stability. Based on the optimization goals, formulate specific synchronous transmission optimization strategies, including link optimization, protocol optimization, parameter adjustment, resource allocation, etc. For example, if there is a high packet loss rate in some channels, the optimization strategy may suggest increasing the retransmission times of that channel or increasing the redundancy of the transmitted signal. If it is found that the signal attenuation is large, it may be necessary to increase the signal amplification factor or select a different transmission channel for data transmission.

[0057] After the implementation of the optimized strategy, continue to monitor the synchronous transmission accuracy to check the optimization effect. If the optimization plan still does not meet the expected effect, the system can further perform dynamic adjustment and gradually optimize the strategy until the expected synchronous accuracy and network stability are achieved. Through transmission accuracy evaluation and compensation, optimize the signal synchronous accuracy and reduce errors. Combining with the real-time network status, dynamically adjust the transmission compensation strength parameter for different network environments to ensure good synchronous effects in various situations. Through precise transmission compensation, even in the case of network latency or interference, a high transmission quality can still be maintained, ensuring the stable operation of the network.

[0058] In summary, the signal synchronous transmission method for the energy scheduling network provided by this application has the following technical effects: By traversing 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; collect data from the multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple scheduling nodes; perform multi-channel fusion on the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels according to the fusion result, and formulate signal synchronous transmission suggestions; perform synchronous simulation calculation on the time synchronization information set of the multiple scheduling nodes according to the signal synchronous transmission suggestions to determine the synchronous simulation error value, and execute the signal synchronous transmission suggestions in combination with the synchronous simulation error value for signal synchronous transmission to obtain a synchronous transmission result; generate synchronous transmission accuracy information according to the synchronous transmission result combined with the transmission network status information, and dynamically adjust the signal synchronous transmission suggestions according to the synchronous transmission accuracy information to formulate a synchronous transmission optimization strategy. That is to say, 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 the signal synchronous transmission suggestions are dynamically adjusted according to the feedback results, improving the accuracy of signal synchronous transmission, thereby enhancing the real-time performance and reliability of signal synchronous transmission.

[0059] Embodiment 2. Based on the same inventive concept as the signal synchronous transmission method for the energy scheduling network in the foregoing Embodiment 1, the present application also provides a signal synchronous transmission system for the energy scheduling network. Please refer to the appendix Figure 2 , the signal synchronous transmission system for the energy scheduling network includes: A scheduling node determination module 11, configured 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, configured to perform data acquisition on the multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple scheduling nodes; a transmission analysis module 13, configured to perform multi-channel fusion on the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels according to the fusion result, and formulate a signal synchronous transmission recommendation; an error determination module 14, configured to perform synchronous simulation calculation on the time synchronization information set of the multiple scheduling nodes according to the signal synchronous transmission recommendation, determine a synchronous simulation error value, and perform signal synchronous transmission by combining the synchronous simulation error value and executing the signal synchronous transmission recommendation to obtain a synchronous transmission result; an optimization strategy formulation module 15, configured to perform feedback according to the synchronous transmission result in combination with the transmission network state information, generate synchronous transmission accuracy information, and dynamically adjust the signal synchronous transmission recommendation according to the synchronous transmission accuracy information to formulate a synchronous transmission optimization strategy.

[0060] Further, the scheduling node determination module 11 in the signal synchronous transmission system for the energy scheduling network is further configured to: Traverse the energy scheduling network to extract data from the multiple data transmission channels to determine multiple data streams; perform depth-first search based on the multiple data streams to generate a channel search result; perform network state analysis according to the channel search result to generate multiple channel network state information; identify the multiple data transmission channels according to the multiple channel network state information to determine multiple scheduling tags; match the multiple scheduling tags with the multiple data streams to determine the multiple scheduling nodes.

[0061] Further, the scheduling node determination module 11 in the signal synchronous transmission system for the energy scheduling network is further configured to: Perform correlation analysis on the multiple data streams according to the multiple scheduling tags, determine multiple data correlation coefficients, connect the multiple data streams based on the multiple data correlation coefficients, and construct a network topology graph; traverse the multiple scheduling nodes based on the network topology graph for random selection to determine the master clock node, use the master clock node as the time reference of the energy scheduling network to broadcast time to the remaining scheduling nodes, and determine the node time data; calculate the round-trip delays between the master clock node and the remaining scheduling nodes based on the node time data to obtain multiple round-trip delay information; perform time synchronization analysis on the multiple scheduling nodes according to the multiple round-trip delay information to generate a synchronization signal; broadcast the synchronization signal from the master clock node to the remaining scheduling nodes at a preset time interval for synchronization verification, and generate the node synchronization information according to the verification result.

[0062] Further, the transmission analysis module 13 in the signal synchronous transmission system for the energy scheduling network is further configured to: Traverse the multiple data transmission channels for link evaluation to generate channel link scores, classify and analyze the multiple data transmission channels according to the channel link scores to obtain multiple data transmission classes; introduce real-time network conditions, combine the multiple data transmission channels according to the real-time network conditions and the multiple data transmission classes to obtain a fusion result; perform modulation and demodulation on the multiple data transmission channels based on the fusion result to generate signal impact factors, where the signal impact factors include signal attenuation factors and signal interference factors; perform transmission compensation on the multiple data transmission channels according to the signal attenuation factors to determine signal compensation coefficients; perform channel estimation on the multiple data transmission channels according to the signal interference factors to determine signal quality coefficients; perform signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients to formulate the signal synchronous transmission suggestions.

[0063] Further, the transmission analysis module 13 in the signal synchronous transmission system for the energy scheduling network is further configured to: 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 time signals 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 signals to obtain multiple signal synchronization requirement information; perform calculations on 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; perform synchronization processing on the multiple data transmission channels according to the path priorities by executing the multiple signal delay paths, and formulate the signal synchronous transmission suggestion.

[0064] Further, the error determination module 14 in the signal synchronous transmission system for the energy scheduling network is further configured to: Construct network simulation environment parameters, map the time synchronization information sets of the multiple scheduling nodes to the signal synchronous transmission suggestion according to the network simulation environment parameters for synchronous deviation calculation to determine a synchronous simulation error value; feedback the synchronous simulation error value to the signal synchronous transmission suggestion, and judge whether the synchronous simulation error value is greater than or equal to a first expected error threshold; if the synchronous simulation error value is greater than or equal to the first expected error threshold, generate a synchronous deviation prompt, activate the master clock node through the synchronous deviation prompt to perform synchronous analysis according to the signal synchronous transmission suggestion, and generate a first synchronous analysis result; activate the remaining scheduling nodes through the synchronous deviation prompt to perform synchronous analysis according to the signal synchronous transmission suggestion to generate a second set of synchronous analysis results; judge whether the clock information of the first synchronous analysis result is consistent with the multiple clock information of the second set of synchronous analysis results; if the clock information of the first synchronous analysis result is consistent with the multiple clock information of the second set of synchronous analysis results, update the first expected error threshold according to the synchronous simulation error value to obtain a second expected error threshold; synchronize the second expected error threshold to the signal synchronous transmission suggestion for transmission analysis to obtain the synchronous transmission result.

[0065] Further, the optimization strategy formulation module 15 in the signal synchronous transmission system for the energy scheduling network is further configured to: Based on the synchronous transmission results, perform transmission accuracy evaluation to determine multiple transmission accuracy indicators; activate the network performance monitoring channel to monitor the energy scheduling network in real time and generate transmission network status information; analyze the synchronous transmission results according to the multiple transmission accuracy indicators in combination with the transmission network status information to determine the transmission compensation intensity parameter; perform transmission compensation on the energy scheduling network according to the transmission compensation intensity parameter, and perform matching evaluation according to the compensation results in combination with the multiple transmission accuracy indicators to generate the synchronous transmission accuracy information.

[0066] The various embodiments in this specification are described in a progressive manner. The key points of each embodiment are the differences from other embodiments. The foregoing Figure 1 The signal synchronous transmission method and specific examples for the energy scheduling network in the first embodiment are equally applicable to the signal synchronous transmission system for the energy scheduling network in this embodiment. Through the foregoing detailed description of the signal synchronous transmission method for the energy scheduling network, those skilled in the art can clearly know the signal synchronous transmission system for the energy scheduling network in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated 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 description of the method part.

[0067] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0068] Obviously, those skilled in the art can 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 equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A signal synchronous transmission method for an energy scheduling network, characterized in that Including: 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; Collect data from multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple scheduling nodes; Perform multi-channel fusion on the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels according to the fusion result, and formulate signal synchronous transmission suggestions; Perform synchronous simulation calculation on the time synchronization information set of the multiple scheduling nodes according to the signal synchronous transmission suggestions, determine the synchronous simulation error value, and execute the signal synchronous transmission suggestions in combination with the synchronous simulation error value to perform signal synchronous transmission to obtain a synchronous transmission result; Perform feedback according to the synchronous transmission result in combination with the transmission network state information to generate synchronous transmission accuracy information, dynamically adjust the signal synchronous transmission suggestions according to the synchronous transmission accuracy information, and formulate a synchronous transmission optimization strategy.

2. The signal synchronous transmission method for an energy scheduling network according to claim 1, characterized in that Traverse multiple data transmission channels of the energy scheduling network, determine multiple scheduling nodes, including: Traverse the energy scheduling network to extract data from the multiple data transmission channels to determine multiple data streams; Perform a depth-first search based on the multiple data streams to generate a channel search result; Perform network state analysis according to the channel search result to generate multiple channel network state information; Identify the multiple data transmission channels according to the multiple channel network state information to determine multiple scheduling tags; Match the multiple scheduling tags to the multiple data streams to determine the multiple scheduling nodes.

3. The signal synchronous transmission method for an energy scheduling network according to claim 2, wherein Perform time synchronization according to the multiple scheduling nodes to generate node synchronization information, including: Perform correlation analysis on the multiple data streams according to the multiple scheduling tags to determine multiple data correlation coefficients, connect the multiple data streams based on the multiple data correlation coefficients, and construct a network topology graph; Randomly select based on the network topology graph through the multiple scheduling nodes to determine a master clock node, use the master clock node as the time reference of the energy scheduling network to broadcast time to the remaining scheduling nodes, and determine node time data; Perform delay calculation on the master clock node and the remaining scheduling nodes based on the node time data to obtain multiple round-trip delay information; Perform time synchronization analysis on the multiple scheduling nodes according to the multiple round-trip delay information to generate a synchronization signal; Broadcast the synchronization signal to the remaining scheduling nodes at a preset time interval through the master clock node for synchronization verification, and generate the node synchronization information according to the verification result.

4. The signal synchronous transmission method for an energy scheduling network according to claim 3, characterized in that Perform multi-channel fusion on the multiple data transmission channels, perform transmission analysis on the multiple data transmission channels according to the fusion result, and formulate signal synchronous transmission suggestions, including: Traverse the multiple data transmission channels to perform link evaluation, generate channel link scores, and classify and analyze the multiple data transmission channels according to the channel link scores to obtain multiple data transmission classes; Introduce real-time network conditions, and combine multiple data transmission channels according to the real-time network conditions and the multiple data transmission classes to obtain a fusion result; Based on the fusion result, perform modulation and demodulation on the multiple data transmission channels to generate signal influence factors, where the signal influence factors include signal attenuation factors and signal interference factors; Perform transmission compensation on the multiple data transmission channels according to the signal attenuation factors to determine signal compensation coefficients; Perform channel estimation on the multiple data transmission channels according to the signal interference factors to determine signal quality coefficients; Perform signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients, and formulate the signal synchronous transmission suggestions.

5. The signal synchronous transmission method for an energy scheduling network according to claim 4, wherein Perform signal synchronization analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients, and formulate the signal synchronous transmission suggestions, including: Perform delay analysis on the multiple data transmission channels according to the signal compensation coefficients and the signal quality coefficients to obtain delay distribution information; Activate the master clock node to broadcast time signals to the remaining scheduling nodes according to the delay distribution information, and perform signal synchronization analysis on the multiple data transmission channels according to the time signals to obtain multiple signal synchronization requirement information; Perform calculations on 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, and sort the multiple signal delay paths according to the multiple weight coefficients to formulate path priorities; Execute the multiple signal delay paths according to the path priorities to perform synchronization processing on the multiple data transmission channels, and formulate the signal synchronous transmission suggestions.

6. The signal synchronous transmission method for an energy scheduling network according to claim 3, characterized in that, Perform synchronous simulation calculations on the time synchronization information sets of the multiple scheduling nodes according to the signal synchronous transmission suggestions, determine the synchronous simulation error value, and perform signal synchronous transmission by combining the synchronous simulation error value and executing the signal synchronous transmission suggestions to obtain a synchronous transmission result, including: Construct network simulation environment parameters, and map the time synchronization information sets of the multiple scheduling nodes to the signal synchronous transmission suggestions according to the network simulation environment parameters to perform synchronous deviation calculations to determine the synchronous simulation error value; Feed back the synchronous simulation error value to the signal synchronous transmission suggestions, and judge whether the synchronous simulation error value is greater than or equal to the first expected error threshold; If the synchronous simulation error value is greater than or equal to the first expected error threshold, generate a synchronous deviation prompt, and perform synchronous analysis by activating the master clock node through the synchronous deviation prompt to execute the signal synchronous transmission suggestions to generate a first synchronous analysis result; Perform synchronous analysis by activating the remaining scheduling nodes through the synchronous deviation prompt to execute the signal synchronous transmission suggestions to generate a second set of synchronous analysis results; Judge whether the clock information of the first synchronous analysis result is consistent with the multiple clock information of the second set of synchronous analysis results; 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 recommendation for transmission analysis to obtain the synchronization transmission result.

7. The signal synchronous transmission method for an energy scheduling network according to claim 1, characterized in that The feedback based on the synchronization transmission result in combination with the transmission network status information to generate synchronization transmission accuracy information includes: Perform a transmission accuracy assessment based on the synchronization transmission result to determine multiple transmission accuracy indicators; Activate the network performance monitoring channel to monitor the energy scheduling network in real time and generate transmission network status information; Analyze the synchronization transmission result according to the multiple transmission accuracy indicators in combination with the transmission network status information to determine the transmission compensation strength parameter; Perform transmission compensation on the energy scheduling network according to the transmission compensation strength parameter, and perform a matching assessment based on the compensation result in combination with the multiple transmission accuracy indicators to generate the synchronization transmission accuracy information.

8. A signal synchronous transmission system for an energy scheduling network, characterized in that, For implementing the steps of the signal synchronization transmission method for an energy scheduling network according to any one of claims 1 to 7, the signal synchronization transmission system for an energy scheduling network includes: A scheduling node determination module, configured to traverse multiple data transmission channels of the energy scheduling network to determine multiple scheduling nodes, and perform time synchronization according to the multiple scheduling nodes to generate node synchronization information; A data acquisition module, configured to acquire data from multiple scheduling nodes according to the node synchronization information to obtain a time synchronization information set of the multiple 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 according to the fusion result, and formulate a signal synchronization transmission recommendation; An error determination module, configured to perform a synchronization simulation calculation on the time synchronization information set of the multiple scheduling nodes according to the signal synchronization transmission recommendation to determine a synchronization simulation error value, and perform signal synchronization transmission by executing the signal synchronization transmission recommendation in combination with the synchronization simulation error value to obtain a synchronization transmission result; An optimization strategy formulation module, configured to generate synchronization transmission accuracy information through feedback based on the synchronization transmission result in combination with the transmission network status information, dynamically adjust the signal synchronization transmission recommendation according to the synchronization transmission accuracy information, and formulate a synchronization transmission optimization strategy.

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