A power data transmission control method and system, a terminal device and a storage medium

Abstract

The application relates to the technical field of power systems, in particular to a power data transmission control method and system, terminal equipment and a storage medium. The method comprises the following steps: acquiring a transmission abnormality type corresponding to abnormal power transmission data; if the transmission abnormality type is multiple, calculating an abnormal correlation coefficient corresponding to the transmission abnormality types; acquiring a correlation category corresponding to the transmission abnormality type according to the abnormal correlation coefficient; if the correlation category is an association abnormality, setting an abnormal processing priority corresponding to the transmission abnormality type according to an association degree between the transmission abnormality types; if the correlation category is a non-association abnormality, setting the abnormal processing priority corresponding to the transmission abnormality type according to a preset abnormality classification standard; and retransmitting the abnormal power transmission data according to a corresponding data retransmission scheme matched according to the abnormal processing priority. The power data transmission control method and system, the terminal equipment and the storage medium provided by the application can improve the transmission efficiency of power data.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a power data transmission control method, system, terminal device, and storage medium. Background Art

[0002] Power data transmission and control refers to the process of transmitting various data and information generated and collected in power systems through communication technologies, and monitoring, controlling, operating, and managing the power grid through control strategies and algorithms. This process encompasses data acquisition, data transmission, data processing, and system control, enabling efficient, intelligent, safe, and reliable operation of power systems.

[0003] With the continuous development of new power systems, the real-time requirements for electric energy collection are constantly increasing. In addition, with the application of new equipment such as HPLC+HRF dual-mode modules and energy controllers, the real-time collection of electric energy data and the real-time uploading of data are becoming more and more demanding, and the requirements for stable online collection terminals are also becoming higher and higher.

[0004] In actual applications, due to the power limit requirements of the terminal, once the terminal communication system encounters poor signals or other network system anomalies, it is unable to promptly and effectively analyze and diagnose the anomaly, resulting in large-scale data loss. When data is lost, in order to ensure the normal execution of the collection task, the lost data needs to be retransmitted. However, retransmitting the lost data will affect the upload of existing data packets, thereby reducing data transmission efficiency. Summary of the Invention

[0005] In order to improve the transmission efficiency of power data, the present application provides a power data transmission control method, system, terminal device and storage medium.

[0006] In a first aspect, the present application provides a power data transmission control method, comprising the following steps:

[0007] Obtaining a sending verification code and a receiving verification code corresponding to the power transmission data;

[0008] If the verification result corresponding to the sending verification code and the receiving verification code is abnormal, obtaining corresponding abnormal power transmission data;

[0009] Acquire a transmission abnormality type corresponding to the abnormal power transmission data;

[0010] If there are multiple transmission anomaly types, then calculating the corresponding anomaly correlation coefficients between the transmission anomaly types;

[0011] Obtaining a correlation category corresponding to the transmission anomaly type according to the anomaly correlation coefficient;

[0012] If the correlation category is a correlation exception, setting the exception handling priority corresponding to the transmission exception type according to the degree of correlation between the transmission exception types;

[0013] If the correlation category is a non-correlation exception, setting the exception handling priority corresponding to the transmission exception type according to a preset exception classification standard;

[0014] According to the exception processing priority, a corresponding data retransmission scheme is matched to retransmit the abnormal power transmission data.

[0015] By adopting the above technical solution, based on the sending and receiving check codes of the power transmission data, abnormal power transmission data with transmission failure can be quickly detected and its corresponding transmission abnormality type can be determined. When multiple transmission abnormality types appear, the abnormal correlation coefficients between the transmission abnormality types can be calculated to accurately identify the correlation between the transmission abnormality types, and the corresponding abnormality handling priority can be set based on the actual situation of each current transmission abnormality type. Furthermore, by matching the adaptive data retransmission scheme, the abnormal data can be retransmitted in a timely and effective manner, thereby improving the efficiency of data transmission.

[0016] Optionally, after obtaining the transmission abnormality type corresponding to the abnormal power transmission data, the method further includes the following steps:

[0017] If the transmission exception type is recorded in the exception log, the induction frequency corresponding to the transmission exception type is obtained;

[0018] If the induction frequency exceeds a preset frequency threshold, determining whether the transmission abnormality type corresponds to multiple inducing factors;

[0019] If the transmission abnormality type corresponds to multiple inducing factors, obtaining the abnormal contribution ratio of each inducing factor relative to the transmission abnormality type;

[0020] In combination with the abnormal contribution ratio and the induction frequency, an inducement analysis report corresponding to the transmission abnormality type is generated.

[0021] By adopting the above technical solution, by obtaining the induction frequency corresponding to the transmission anomaly type recorded in the anomaly log, it can be determined whether the frequency of the current transmission anomaly type exceeds a preset threshold. If it exceeds the threshold, it means that the transmission anomaly type is a frequent fault. In order to conduct an in-depth analysis of the transmission anomaly type, it is determined whether the transmission anomaly type corresponds to multiple inducing factors. If there are multiple inducing factors, the main inducing factor corresponding to the transmission anomaly type can be obtained based on the abnormal contribution ratio of each inducing factor relative to the transmission anomaly type. Then, combined with the abnormal contribution ratio and the inducing frequency, an inducing factor analysis report for the transmission anomaly type can be generated to help users understand the cause and frequency of a certain transmission anomaly type, and implement targeted optimization measures and improvement plans, thereby improving data transmission quality and efficiency, reducing the occurrence rate of failures, and enhancing monitoring and management capabilities during data transmission.

[0022] Optionally, if the transmission abnormality type corresponds to a plurality of the inducing factors, after obtaining the abnormality contribution ratio of each of the inducing factors relative to the transmission abnormality type, the following steps are further included:

[0023] According to the abnormal contribution ratio, the corresponding inducing factors are divided into main inducing factors and secondary inducing factors;

[0024] If there is an induction association between the main inducing factor and the sub-inducing factor, a corresponding associated inducing group is generated by combining the main inducing factor and the sub-inducing factor.

[0025] By adopting the above technical solution, the inducing factors are divided into main inducing factors and secondary inducing factors based on the proportion of abnormal contribution. If there is an inducing correlation between the main inducing factor and the secondary inducing factor, that is, there is a certain dependence relationship between the above two factors, then the corresponding associated inducing group can be generated based on this relationship. By analyzing the relationship between these factors, we can have a more comprehensive understanding of the cause of the abnormality, find out the crux of the problem, and further optimize the data transmission process and control strategy, thereby improving the efficiency and reliability of data transmission, reducing unnecessary retransmission and data loss, and improving the quality of data transmission.

[0026] Optionally, if the correlation category is a correlation exception, after setting the exception handling priority corresponding to the transmission exception type according to the degree of correlation between the transmission exception types, the following steps are further included:

[0027] Obtaining the associated exception types corresponding to the transmission exception types;

[0028] If the correlation anomaly type is a unidirectional correlation anomaly, determining the corresponding root transmission anomaly and induced transmission anomaly in the transmission anomaly type;

[0029] In combination with the root transmission anomaly and the induced transmission anomaly, a corresponding anomaly association indication diagram is generated.

[0030] By adopting the above technical solution, by determining the root transmission anomaly and the induced transmission anomaly among the transmission anomaly types, a corresponding anomaly association indication diagram can be established, which can more intuitively display the relationship and propagation path between the anomaly types. The anomaly association indication diagram can also help users clearly understand the relationship between the transmission anomaly types, thereby realizing the tracking and monitoring of abnormal events, and further taking targeted measures and plans to improve the quality and efficiency of data transmission.

[0031] Optionally, after obtaining the correlation exception types corresponding to the transmission exception types, the method further includes the following steps:

[0032] If the correlation anomaly type is a bidirectional correlation anomaly, obtaining target correlation factors corresponding to the transmission anomaly types;

[0033] According to the correlation coefficients between the target correlation factors, a corresponding abnormal correlation trend graph is generated.

[0034] By adopting the above technical solution, the connection between the target correlation factors can be intuitively displayed according to the abnormal correlation trend graph, which can help users better understand the relationship and propagation trend of abnormal events. Further, by quantitatively analyzing the degree of correlation between the target correlation factors, that is, the correlation coefficient, the impact and degree of abnormal events can be better grasped. In addition, through the abnormal correlation trend graph, the development trend of transmission anomaly types can be better identified and predicted, and measures and plans can be taken in time, thereby improving the quality and efficiency of data transmission, reducing retransmission time, and improving the efficiency of data transmission.

[0035] Optionally, the retransmitting the abnormal power transmission data by matching a corresponding data retransmission scheme according to the abnormal processing priority includes the following steps:

[0036] acquiring, according to the exception handling priority, transmission influencing factors between the abnormal power transmission data and the current power transmission data;

[0037] In combination with the transmission influencing factors and the transmission abnormality type, the corresponding data retransmission scheme is matched to retransmit the abnormal power transmission data.

[0038] By adopting the above technical solution, different appropriate measures and solutions can be flexibly adopted to retransmit data according to the type of transmission anomaly and the factors affecting transmission, which can reduce the error rate of data transmission and improve the reliability and efficiency of data transmission. In addition, the data retransmission solution can also adapt to different transmission scenarios and needs, provide multiple retransmission solutions to meet user needs, realize the automation and intelligence of data transmission, and improve the efficiency of data transmission.

[0039] Optionally, combining the transmission influencing factors and the transmission abnormality type, matching the corresponding data retransmission scheme to retransmit the abnormal power transmission data includes the following steps:

[0040] Obtaining an optimization strategy corresponding to the transmission influencing factor;

[0041] Obtaining a solution to the transmission anomaly type;

[0042] In combination with the optimization strategy and the anomaly elimination scheme, a retransmission data model corresponding to the abnormal power transmission data is established;

[0043] If the data retransmission scheme corresponding to the retransmission data model meets a preset transmission efficiency standard, the abnormal power transmission data is retransmitted according to the data retransmission scheme.

[0044] By adopting the above technical solutions, the retransmission data model is established on the basis of in-depth analysis and research on transmission influencing factors and transmission anomaly types, and can provide a variety of targeted optimization strategies and anomaly elimination solutions. These solutions can be selected and combined according to the specific transmission anomaly types and influencing factors to improve the quality and efficiency of data transmission. Through the retransmission data model, various optimization strategies and anomaly elimination solutions can be fully integrated and coordinated, thereby improving data transmission efficiency.

[0045] In a second aspect, the present application provides a power data transmission control system, comprising:

[0046] A check code acquisition module is used to obtain a sending check code and a receiving check code corresponding to the power transmission data;

[0047] a verification module, configured to obtain corresponding abnormal power transmission data if a verification result corresponding to the sent verification code and the received verification code is abnormal;

[0048] an abnormality type acquisition module, configured to acquire a transmission abnormality type corresponding to the abnormal power transmission data;

[0049] A calculation module, if there are multiple transmission anomaly types, the calculation module is used to calculate the corresponding anomaly correlation coefficients between the transmission anomaly types;

[0050] A correlation category acquisition module, configured to acquire a correlation category corresponding to the transmission anomaly type according to the anomaly correlation coefficient;

[0051] a correlation setting module, for setting an exception handling priority corresponding to the transmission exception type according to a correlation degree between the transmission exception types if the correlation category is correlation exception;

[0052] a non-correlation setting module, configured to set the exception handling priority corresponding to the transmission exception type according to a preset exception classification standard if the correlation category is a non-correlation exception;

[0053] The retransmission module is configured to match a corresponding data retransmission scheme according to the exception processing priority to retransmit the abnormal power transmission data.

[0054] By adopting the above technical solution, based on the sending and receiving check codes of the power transmission data obtained by the check code acquisition module, abnormal data can be quickly detected by the check module, and the abnormal type can be determined by the abnormal type acquisition module. When multiple abnormal transmission types occur, the abnormal correlation coefficient corresponding to the transmission abnormal type can be calculated by the calculation module to accurately identify the correlation between the transmission abnormal types. In addition, the corresponding abnormal processing priority can be set by the correlation setting module or the non-correlation setting module based on the actual situation of the transmission abnormal type. Furthermore, by matching the adaptive data retransmission scheme, the abnormal data can be retransmitted in a timely and effective manner through the retransmission module, thereby improving the efficiency of data transmission.

[0055] In a third aspect, the present application provides a terminal device that adopts the following technical solution:

[0056] A terminal device includes a memory and a processor, wherein the memory stores computer instructions that can be run on the processor, and when the processor loads and executes the computer instructions, the above-mentioned power data transmission control method is adopted.

[0057] By adopting the above technical solution, the above-mentioned power data transmission control method is generated into computer instructions and stored in a memory so as to be loaded and executed by a processor. Thus, a terminal device is manufactured based on the memory and the processor for easy use.

[0058] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0059] A computer-readable storage medium stores computer instructions. When the computer instructions are loaded and executed by a processor, the above-mentioned power data transmission control method is adopted.

[0060] By adopting the above technical solution, the above-mentioned power data transmission control method is generated into computer instructions and stored in a computer-readable storage medium so as to be loaded and executed by a processor. The computer-readable storage medium facilitates the reading and storage of computer instructions.

[0061] In summary, the present application includes at least one of the following beneficial technical effects: based on the sending and receiving check codes of the power transmission data, it is possible to quickly detect abnormal power transmission data that has failed to transmit, and determine its corresponding transmission abnormality type. When there are multiple transmission abnormality types, the abnormal correlation coefficients between the transmission abnormality types can be calculated to accurately identify the correlation between the transmission abnormality types, and the corresponding abnormality handling priority can be set in combination with the actual situation of each current transmission abnormality type, thereby improving the efficiency of data transmission. Further, by matching the adaptive data retransmission scheme, the abnormal data can be retransmitted in a timely manner, reducing the retransmission time and improving the efficiency of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a flowchart of steps S101 to S108 in a power data transmission control method of the present application.

[0063] Figure 2 This is a flowchart of steps S201 to S204 in a power data transmission control method of the present application.

[0064] Figure 3 This is a flow chart of steps S301 to S302 in a power data transmission control method of the present application.

[0065] Figure 4 It is a flowchart of steps S401 to S403 in a power data transmission control method of the present application.

[0066] Figure 5 This is a flow chart of steps S501 to S502 in a power data transmission control method of the present application.

[0067] Figure 6 This is a flow chart of steps S601 to S602 in a power data transmission control method of the present application.

[0068] Figure 7 This is a flowchart of steps S701 to S704 in a power data transmission control method of the present application.

[0069] Figure 8 This is a module diagram of a power data transmission control system of the present application.

[0070] Description of reference numerals:

[0071] 1. Verification code acquisition module; 2. Verification module; 3. Abnormal type acquisition module; 4. Calculation module; 5. Correlation category acquisition module; 6. Correlation setting module; 7. Non-correlation setting module; 8. Retransmission module. DETAILED DESCRIPTION

[0072] The following is combined with Figure 1-8 This application is described in further detail.

[0073] The present application discloses a method for controlling power data transmission. Figure 1 As shown, the following steps are included:

[0074] S101. Obtaining the sending verification code and receiving verification code corresponding to the power transmission data;

[0075] S102. If the verification result corresponding to the sent verification code and the received verification code is abnormal, the corresponding abnormal power transmission data is obtained;

[0076] S103. Obtain the transmission abnormality type corresponding to the abnormal power transmission data;

[0077] S104. If there are multiple transmission anomaly types, calculate the corresponding anomaly correlation coefficients between the transmission anomaly types;

[0078] S105. According to the abnormal correlation coefficient, obtain the correlation category corresponding to the transmission abnormality type;

[0079] S106. If the correlation category is a correlation exception, the exception handling priority corresponding to the transmission exception type is set according to the degree of correlation between the transmission exception types;

[0080] S107. If the correlation category is non-correlated exception, the exception handling priority corresponding to the transmission exception type is set according to the preset exception classification standard;

[0081] S108. According to the exception handling priority, match the corresponding data retransmission scheme to retransmit the abnormal power transmission data.

[0082] In step S101, the send check code and receive check code are important parameters for verifying the integrity and accuracy of power transmission data, ensuring the reliability of the transmitted data. The send check code is calculated by the sender to confirm that the data has not been tampered with or lost during transmission. The receive check code, on the other hand, is calculated by the receiver to confirm whether the data has been erroneous or corrupted during transmission. By comparing the send check code and the receive check code, it is possible to determine whether any abnormalities occurred during data transmission, as well as the specific type of abnormality.

[0083] Specifically, the send and receive check codes are calculated using a checksum algorithm. The selection and use of the checksum algorithm can be configured and adjusted based on the specific transmission protocol and data requirements to meet the transmission requirements of different scenarios and needs. By correctly using the send and receive checksums, the integrity and accuracy of transmitted data can be effectively guaranteed, transmission errors and data loss can be avoided, and the reliability and efficiency of data transmission can be improved.

[0084] In step S102, if the verification results of the sending verification code and the receiving verification code corresponding to the power transmission data are abnormal, it means that the current power transmission data may have various types of abnormalities, such as data transmission errors, data transmission timeouts, data packet losses, etc. In order to analyze the specific causes of the abnormalities and then take targeted measures and solutions to solve the problems, the above-mentioned power transmission data is marked as abnormal power transmission data so that it can be subsequently analyzed for abnormalities.

[0085] For example, in the power system, if real-time monitoring data needs to be transmitted, the accuracy and real-time nature of the data are very important. If the comparison result between the sending check code of the power data sender and the receiving check code of the receiving end is found to be abnormal during the power data transmission process, it means that the current power data has failed to transmit or has been lost or damaged during the transmission process.

[0086] Specifically, the verification results of the sent and received check codes can be used to identify the specific data packets or data streams where the anomaly occurred. Machine learning, data mining, and other technologies can be used to analyze and classify the anomaly data packets or data streams, identify different types of anomalies, and generate corresponding anomaly reports and solutions. For example, neural network algorithms can be used to train models to achieve automated classification and identification of abnormal data.

[0087] In step S103, by analyzing the current abnormal power transmission data, the type of transmission anomaly in the current system can be further determined. For example, the determination of whether the data packet corresponding to the abnormal power transmission data can be parsed normally can be made by confirming the integrity of the data packet; confirming the correctness of the sequence number of each data packet. If the sequence number is incorrect, it may indicate a problem such as data packet retransmission or duplicate transmission; confirming whether the sending and receiving times of the data packets are consistent with expectations, and whether the timing between the data packets is correct. If multiple data packets are sent at the same time, or the time interval between receiving data packets is too long, it may indicate a transmission timeout or other problem.

[0088] In step S104, if multiple transmission anomaly types occur in the current system, the anomaly correlation coefficients between them can be calculated. The anomaly correlation coefficients can be used to evaluate the relationship and impact of each anomaly type, which helps to better understand the causes and solutions of transmission anomalies.

[0089] Specifically, the abnormal correlation coefficient measures the nonlinear relationship between two variables and has a value range of [-1, 1]. When the correlation coefficient is positive, it indicates that the two variables are positively correlated, that is, when one variable increases, the other variable also increases; when the correlation coefficient is negative, it indicates that the two variables are negatively correlated, that is, when one variable increases, the other variable decreases; when the correlation coefficient is 0, it indicates that the two variables are unrelated.

[0090] Secondly, when calculating the correlation coefficient between transmission anomaly types, the number of occurrences of each anomaly type can be used as a variable. For example, to calculate the correlation coefficient between duplicate data transmission anomalies and data loss transmission anomalies, you can first count the number of occurrences of each anomaly, convert them into numerical variables, and then calculate the correlation coefficient between them. A larger anomaly correlation coefficient indicates a stronger correlation between the two anomaly types and a greater impact. This helps managers better understand the relationship between transmission anomaly types and their impact, allowing them to develop targeted solutions to improve data transmission quality and efficiency.

[0091] In steps S105 to S107, the correlation category between each transmission anomaly type can be further determined based on the abnormal correlation coefficient between the transmission anomaly types. The correlation category is determined based on whether there is correlation between the transmission anomaly types. If the abnormal correlation coefficient between the transmission anomaly types is greater than 0, there is a positive correlation between the transmission anomaly types. If the abnormal correlation coefficient between the transmission anomaly types is less than 0, there is a negative correlation between the transmission anomaly types. If the abnormal correlation coefficient between the transmission anomaly types is close to 0, there is no correlation between the transmission anomaly types, that is, a non-correlated anomaly.

[0092] For example, three types of transmission anomalies occur in the power data transmission system: data repeated transmission anomaly, data loss transmission anomaly, and data transmission timeout anomaly. By counting the number of occurrences of each anomaly type, the anomaly correlation coefficient between them is obtained, that is, the correlation coefficient between data repeated transmission anomaly and data loss transmission anomaly is 0.56, which is greater than 0, so there is a positive correlation between the two transmission anomaly types, and the correlation coefficient between data repeated transmission anomaly and data transmission timeout anomaly is -0.202, which is less than 0, so there is a negative correlation between the two transmission anomaly types. The corresponding correlation types between data repeated transmission anomaly and data loss transmission anomaly and between data repeated transmission anomaly and data transmission timeout anomaly are correlated anomalies. The correlation coefficient between data loss transmission anomaly and data transmission timeout anomaly is 0.089, which is close to 0, so the two anomaly types are non-correlated anomalies.

[0093] Furthermore, in order to prioritize the more serious abnormal impacts in the system and maximize the transmission efficiency of power data, the corresponding abnormality processing priority can be set according to the degree of correlation between different transmission abnormality types. Among them, the corresponding degree of correlation can be determined by analyzing the abnormality correlation coefficient between the transmission abnormality types.

[0094] Specifically, the abnormal correlation coefficient between the transmission abnormality types is used to measure the statistical indicator of the correlation degree between two or more abnormality types. Generally, an abnormal correlation coefficient greater than or equal to 0.7 is considered to be highly correlated, 0.4-0.7 is considered to be moderately correlated, and less than 0.4 is considered to be lowly correlated.

[0095] For example, during FTP transmission, the abnormal correlation coefficient between server downtime and network delay is calculated to be 0.8, while the abnormal correlation coefficient between server downtime and access permission restriction is 0.3. Therefore, server downtime and network delay can be regarded as highly correlated, and the abnormal processing priority corresponding to server downtime and network delay is set to level 1. The abnormal correlation coefficient between server downtime and access permission restriction is relatively small, and it can be regarded as low correlation. The abnormal processing priority corresponding to server downtime and access permission restriction is set to level 2, among which the level 1 abnormal processing priority is higher than the level 2 abnormal processing priority.

[0096] Secondly, if the correlation between the transmission anomaly types is non-correlated, to facilitate the transmission of system power data, the exception handling priority corresponding to the current transmission anomaly type is set according to the preset anomaly classification standard. The preset anomaly classification standard refers to the system anomaly types and the corresponding anomaly level classification standards pre-defined by the current data transmission system.

[0097] For example, if the system is hijacked or attacked by a hacker, data transmission needs to be stopped immediately within a short period of time to avoid more serious consequences. The preset exception classification standard will set it as a high-priority exception. If the exception causes some functional modules to fail to work properly, but it will not have serious consequences for the entire system, the preset exception classification standard will set it as a medium-priority exception. If the user enters an incorrect username or password, the preset exception classification standard will set it as a low-priority exception.

[0098] In step S108, in order to ensure the integrity of data transmission, that is, when matching the corresponding data retransmission scheme according to the exception handling priority, different transmission exception types cause data upload transmission failure, and different retransmission schemes are required to retransmit the data.

[0099] For example, if data upload and transmission fails due to network anomalies, a retry mechanism can be used to wait for the network connection to be restored before uploading the data. If the network recovers quickly, the data can be retransmitted immediately. If the network recovers slowly, other data can be uploaded first, and the data that failed to be uploaded, i.e., the abnormal power transmission data, can be set to a low priority for uploading. If data upload and transmission fails due to a transmission timeout anomaly, the upload timeout time can be increased and the data can be retransmitted. When uploading a large amount of abnormal data, the data can be uploaded in batches. If data upload and transmission fails due to data packet loss anomaly, a redundancy mechanism can be used to upload backup data packets for more important data multiple times to ensure data security and reliability.

[0100] Secondly, it is necessary to consider the impact of the data to be retransmitted, i.e., abnormal power transmission data, on the current real-time uploaded transmission data. Based on the actual situation of the current real-time uploaded transmission data, an appropriate data retransmission scheme can be matched to retransmit the abnormal power transmission data.

[0101] In actual applications, the retransmitted data and the current real-time upload and transmission data have the following influence relationship: Delay: Data retransmission will increase the transmission time and affect the delay of the current real-time upload and transmission data; Bandwidth: Data retransmission will occupy a certain amount of bandwidth resources, reduce the bandwidth of the current real-time upload and transmission data, and cause the transmission speed to slow down; Performance: Data retransmission may affect the stability and reliability of data transmission, and further affect the performance of the current real-time upload and transmission data; Resource allocation: Data retransmission requires a certain amount of processor and storage resources, which may affect the resource allocation of the current data upload and transmission tasks; Load balancing: Data retransmission may cause an imbalance in the transmission load, further affecting the load balancing of the entire system.

[0102] For example, for a high-priority exception, if it is necessary to immediately stop data transmission and retransmit the data, that is, only transmit the abnormal power transmission data, it may have a greater impact on the current real-time transmission data. At this time, the importance and urgency of the retransmitted data can be weighed. If the importance and urgency of the retransmitted data are higher, the high-priority exception is processed first and the data is retransmitted; if the importance and urgency of the data are lower, the processing of the high-priority exception is suspended, and the retransmission of the data, that is, the abnormal power transmission data, is delayed, and the data is retransmitted after the current real-time transmission data transmission is completed.

[0103] The power data transmission control method provided in this embodiment can quickly detect abnormal power transmission data that has failed transmission and determine its corresponding transmission anomaly type based on the sending and receiving check codes of the power transmission data. When multiple transmission anomaly types occur, the correlation between the transmission anomaly types can be accurately identified by calculating the anomaly correlation coefficient between the transmission anomaly types. The corresponding exception handling priority of each transmission anomaly type can be set based on the actual situation of each transmission anomaly type. Furthermore, by matching an adaptive data retransmission scheme, the abnormal data can be retransmitted in a timely and effective manner, thereby improving the efficiency of data transmission.

[0104] In one implementation of this embodiment, Figure 2 As shown, after step S103, i.e., obtaining the transmission abnormality type corresponding to the abnormal power transmission data, the following steps are also included:

[0105] S201. If the abnormality log records a transmission abnormality type, obtain the induced frequency corresponding to the transmission abnormality type;

[0106] S202. If the induced frequency exceeds the preset frequency threshold, it is determined whether the transmission abnormality type corresponds to multiple inducing factors;

[0107] S203. If the transmission abnormality type corresponds to multiple inducing factors, obtain the abnormal contribution ratio of each inducing factor relative to the transmission abnormality type;

[0108] S204. Generate a cause analysis report corresponding to the transmission anomaly type based on the anomaly contribution ratio and the induction frequency.

[0109] In step S201, the induction frequency refers to the number of times a transmission anomaly type occurs within a certain period of time. This frequency can be used to assess the impact and degree of harm that transmission anomaly type has on system operations. If a transmission anomaly type is recorded in the anomaly log, this indicates that it is not the first time that the transmission anomaly type has occurred. By obtaining the induction frequency of the transmission anomaly type, the impact of the transmission anomaly type on system security performance can be further analyzed.

[0110] In step S202, the preset frequency threshold refers to the upper limit of the trigger frequency of a certain type of transmission anomaly, which is set in advance in the power data transmission control. When the trigger frequency of a certain type of transmission anomaly exceeds the preset frequency threshold, the system will determine that the frequency of this type of anomaly has exceeded the normal range, which may have a lasting impact on the security of the current real-time transmission data. For example, the preset frequency threshold can be set to 5 network connection anomalies per hour. When 6 network connection anomalies occur within an hour, the system will automatically send an alarm message or perform corresponding processing operations. The setting of the preset frequency threshold needs to be reasonably inferred based on the specific situation and dynamically adjusted and updated according to the actual situation. In order to further analyze the transmission anomaly type whose current triggering frequency exceeds the preset frequency threshold, it is determined whether the transmission anomaly type corresponds to multiple inducing factors. The inducing factors refer to the various inducing factors that cause the transmission anomaly type to occur.

[0111] In steps S203 and S204, if the transmission anomaly type corresponds to multiple inducing factors, the anomaly contribution ratio of each inducing factor relative to the transmission anomaly type is further obtained. The anomaly contribution ratio refers to the degree of influence of a certain type of inducing factor on the transmission anomaly type. It can be calculated by dividing the frequency of occurrence of that type of inducing factor in the transmission anomaly type by the total frequency of occurrence of that transmission anomaly type. The result is the anomaly contribution ratio of that factor to the anomaly event.

[0112] Furthermore, based on the above-derived anomaly contribution ratio and the frequency of transmission anomaly types, the triggering factors can be categorized into three levels: high, medium, and low. The report then provides a list of triggering factors for each level and their corresponding explanations. For example, high-level triggering factors could be listed as network congestion, software version incompatibility, etc., medium-level triggering factors could be listed as hardware failure, operator error, etc., and low-level triggering factors could be listed as minor equipment failure and environmental noise. Each of these triggering factors would be explained, along with how to prevent and address the transmission anomaly type. This triggering analysis report can help operations and maintenance personnel better understand the root causes of transmission anomalies and effectively improve operations and maintenance efficiency and service quality.

[0113] The power data transmission control method provided in this embodiment divides the inducing factors into main inducing factors and slave inducing factors based on the abnormal contribution ratio. If there is an inducing correlation between the main inducing factor and the slave inducing factor, that is, there is a certain dependency relationship between the above two factors, then a corresponding associated inducing group can be generated based on this relationship. By analyzing the relationship between these factors, the cause of the abnormality can be more comprehensively understood, the crux of the problem can be found, and the data transmission process and control strategy can be further optimized, thereby improving the efficiency and reliability of data transmission, reducing unnecessary retransmission and data loss, and improving the quality of data transmission.

[0114] In one implementation of this embodiment, Figure 3 As shown, in step S203, that is, if the transmission abnormality type corresponds to multiple inducing factors, after obtaining the abnormal contribution ratio of each inducing factor relative to the transmission abnormality type, the following steps are also included:

[0115] S301. Based on the abnormal contribution ratio, the corresponding predisposing factors are divided into primary predisposing factors and secondary predisposing factors;

[0116] S302. If there is an inducing association between the main inducing factor and the secondary inducing factor, a corresponding associated inducing group is generated by combining the main inducing factor and the secondary inducing factor.

[0117] In steps S301 and S302, the primary trigger is the factor with the greatest impact on the type of transmission anomaly and has a high contribution to the anomaly. The secondary trigger is the factor with a relatively small impact on the anomaly and has a low contribution to the anomaly. The classification criteria for primary and secondary triggers are set based on the actual situation of the current network. For example, if the current network data transmission is mainly based on manual transmission control, then any abnormality contribution corresponding to operator error exceeding 25% will be considered a primary trigger.

[0118] Furthermore, there may be certain causal relationships between primary and secondary triggering factors. For example, in a network transmission anomaly, network equipment failure may be the primary triggering factor, while network congestion may be the secondary triggering factor. However, network congestion often leads to network equipment failure. To better reflect this causal relationship, the primary and secondary triggering factors can be combined into a correlation triggering group. Specifically, the primary triggering factor is the main factor, and the secondary triggering factors are its subsidiary components. The causal relationship is reflected between the main and subsidiary components. Such a correlation triggering group allows relevant personnel to more clearly understand the interactions between different factors, helping to find appropriate solutions.

[0119] For example, network failure is the primary contributing factor, accounting for 60% of the anomaly. Hardware failure, software failure, and operator error are secondary contributing factors, accounting for 20%, 15%, and 5%, respectively. Hardware failure, software failure, and operator error can all contribute to network failure. Therefore, hardware failure, software failure, and operator error are considered secondary contributing factors, while network failure is considered the primary contributing factor, forming a related contributing group.

[0120] The power data transmission control method provided in this embodiment divides the inducing factors into main inducing factors and slave inducing factors based on the abnormal contribution ratio. If there is an inducing correlation between the main inducing factor and the slave inducing factor, that is, there is a certain dependency relationship between the above two factors, then a corresponding associated inducing group can be generated based on this relationship. By analyzing the relationship between these factors, the cause of the abnormality can be more comprehensively understood, the crux of the problem can be found, and the data transmission process and control strategy can be further optimized, thereby improving the efficiency and reliability of data transmission, reducing unnecessary retransmission and data loss, and improving the quality of data transmission.

[0121] In one implementation of this embodiment, Figure 4 As shown, in step S106, if the correlation category is a correlation exception, then after setting the exception handling priority corresponding to the transmission exception type according to the degree of correlation between the transmission exception types, the following steps are also included:

[0122] S401. Obtain the corresponding correlation exception type between the transmission exception types;

[0123] S402. If the correlation anomaly type is a unidirectional correlation anomaly, then determine the corresponding root transmission anomaly and the induced transmission anomaly in the transmission anomaly type;

[0124] S403. Combine the root transmission anomaly and the induced transmission anomaly to generate a corresponding anomaly association indication diagram.

[0125] In steps S401 to S403 , the unidirectional correlation exception refers to an abnormal event relationship in which one transmission abnormality type affects an abnormal event occurring in another transmission abnormality type, while the other transmission abnormality type does not affect the first transmission abnormality type.

[0126] For example, in the field of power data transmission control, transmission delay anomalies may cause data loss anomalies, while data loss anomalies will not affect transmission delay anomalies. Therefore, there is a one-way correlation between transmission delay and data loss anomalies.

[0127] Furthermore, a root transmission anomaly is a spontaneous anomaly that causes a related anomaly type, while an induced transmission anomaly is an anomaly caused by a spontaneous anomaly in a related anomaly type. Based on the root transmission anomaly and induced transmission anomaly, a corresponding anomaly correlation indicator graph is generated to better illustrate the relationship and impact between different transmission anomaly types within a related anomaly type.

[0128] In the anomaly correlation diagram, the root cause of the transmission anomaly is represented as the primary node, and the induced transmission anomaly is represented as its subsidiary node. The relationship between the primary and subsidiary nodes is then reflected. This anomaly correlation diagram helps personnel more intuitively understand the connections between different transmission anomaly types and propose more effective solutions.

[0129] This embodiment provides a power data transmission control method. By determining the root transmission anomaly and the induced transmission anomaly among the transmission anomaly types, a corresponding anomaly association indication diagram can be established, thereby more intuitively displaying the relationship and propagation path between the anomaly types. The anomaly association indication diagram can also help users clearly understand the relationship between the transmission anomaly types, thereby achieving tracking and monitoring of abnormal events, and further taking targeted measures and plans to improve data transmission quality and efficiency.

[0130] In one implementation of this embodiment, Figure 5 As shown, after step S401, i.e. obtaining the corresponding correlation exception types between the transmission exception types, the following steps are also included:

[0131] S501. If the correlation exception type is a bidirectional correlation exception, then obtain the target correlation factor corresponding to the transmission exception type;

[0132] S502. Generate a corresponding abnormal correlation trend graph based on the correlation coefficients between the target correlation factors.

[0133] In steps S501 and S502, bidirectional correlation anomalies refer to the transmission anomaly types that affect each other and are affected by each other. For example, in a power data transmission control system, network congestion may cause transmission delays, and transmission delays may further aggravate network congestion.

[0134] Furthermore, to better understand the bidirectional correlation anomalies between different transmission anomaly types, it is necessary to obtain the corresponding target correlation factors. Target correlation factors refer to factors that influence the correlation between different transmission anomaly types, and are typically intermediate or implicit factors. For example, when bidirectional correlation anomaly events occur between network congestion and transmission delay, factors such as network bandwidth, packet size, and routing topology may be involved.

[0135] Secondly, after obtaining the target correlation factors, we can calculate the correlation coefficients between different target correlation factors to generate corresponding anomaly correlation trend charts. This anomaly correlation trend chart can help personnel more intuitively understand the relationships and impacts between different target correlation factors. Generally, different target correlation factors are treated as nodes, and the correlations between nodes are connected by lines. The thickness of the lines reflects the degree of correlation. This anomaly correlation trend chart can better understand the bidirectional correlation anomalies between different transmission anomaly types.

[0136] The present embodiment provides a method for controlling power data transmission, which can intuitively display the relationship between target correlation factors based on the abnormal correlation trend diagram, and can help users better understand the relationship and propagation trend between abnormal events. Further, by quantitatively analyzing the degree of correlation between target correlation factors, i.e., the correlation coefficient, the impact and degree of abnormal events can be better grasped. In addition, the abnormal correlation trend diagram can better identify and predict the development trend of transmission anomaly types, and timely take measures and plans, thereby improving the quality and efficiency of data transmission, reducing retransmission time, and improving the efficiency of data transmission.

[0137] In one implementation of this embodiment, Figure 6 As shown, step S108, i.e., retransmitting abnormal power transmission data according to the abnormality processing priority and matching the corresponding data retransmission scheme, includes the following steps:

[0138] S601. According to the exception handling priority, obtain the transmission factors affecting the abnormal power transmission data and the current power transmission data;

[0139] S602. Based on the transmission influencing factors and the transmission abnormality type, a corresponding data retransmission scheme is matched to retransmit the abnormal power transmission data.

[0140] In steps S601 and S602, abnormal power transmission data refers to data that does not meet expected data transmission conditions and needs to be retransmitted to ensure data transmission integrity, such as data packet loss and transmission failure. Current power transmission data refers to data that is currently being transmitted normally.

[0141] In actual applications, the factors affecting the transmission between abnormal power transmission data and current power transmission data generally include: network topology and bandwidth: network topology and bandwidth size directly affect the speed and stability of data transmission; network load and data size: network load and data size also have a certain impact on data transmission. When the network load is too high or the data volume is too large, the data transmission speed will slow down; business needs and network service quality: different business needs require different network service quality. If the network service quality cannot meet the business needs, data transmission will have problems.

[0142] Furthermore, based on the transmission influencing factors identified above, a corresponding data retransmission scheme is used to retransmit abnormal data to ensure data integrity and accuracy. For example, in the case of network congestion, a delayed retransmission scheme can be used to wait until the network load is reduced before retransmitting data, avoiding excessive data retransmission that could further congest the network.

[0143] This embodiment provides a power data transmission control method that flexibly adopts different appropriate measures and schemes for data retransmission according to the type of transmission anomaly and transmission influencing factors, which can reduce the error rate of data transmission and improve the reliability and efficiency of data transmission. In addition, the data retransmission scheme can also adapt to different transmission scenarios and needs, provide multiple retransmission schemes to meet user needs, realize the automation and intelligence of data transmission, and improve the efficiency of data transmission.

[0144] In one implementation of this embodiment, Figure 7 As shown, step S602, that is, combining the transmission influencing factors and the transmission abnormality type, matching the corresponding data retransmission scheme to retransmit the abnormal power transmission data, includes the following steps:

[0145] S701. Obtain the optimization strategy corresponding to the transmission influencing factors;

[0146] S702. Obtain the corresponding solution for the transmission anomaly type;

[0147] S703. Combined with the optimization strategy and elimination scheme, establish a retransmission data model corresponding to abnormal power transmission data;

[0148] S704. If the data retransmission scheme corresponding to the retransmission data model meets the preset transmission efficiency standard, the abnormal power transmission data is retransmitted according to the data retransmission scheme.

[0149] In steps S701 to S703, by analyzing the factors affecting the transmission of abnormal power transmission data, corresponding optimization strategies can be determined. For example, if the anomaly is caused by network congestion, strategies such as increasing network bandwidth and optimizing data transmission protocols can be adopted to optimize transmission efficiency. Different solutions can be adopted to resolve the anomaly depending on the type of transmission anomaly. For example, if the anomaly is caused by packet loss, solutions such as data retransmission and error correction can be used to resolve the anomaly.

[0150] Furthermore, based on the optimization strategy and anomaly elimination scheme, a retransmission data model for abnormal power transmission data is established to determine parameters such as the amount of data required for retransmission and the number of retransmissions. The retransmission data model provides feedback, processing, and control functions. It monitors data packet transmission for errors during the transmission process and automatically requests retransmissions when errors occur to ensure accurate data transmission. This model typically consists of three parts: a sender, a receiver, and a control mechanism. The control mechanism controls the transmission method, the sender sends data and handles retransmission requests, and the receiver is responsible for receiving data and handling errors. This model is applicable to various transmission methods, including wired and wireless transmission models.

[0151] Secondly, the retransmission data model can select more appropriate optimization strategies and variance elimination schemes based on the actual situation of current data transmission. That is, after a large number of data transmission simulation tests of optimization strategies and variance elimination schemes, the target optimization strategies and variance elimination schemes that can improve data transmission efficiency can be selected.

[0152] In step S704, the preset transmission efficiency standard refers to a pre-set standard for measuring transmission performance in a specific transmission environment to ensure the quality and efficiency of data transmission. This standard can be based on many factors, such as network bandwidth, latency, packet loss rate, data transmission speed, etc. Using this standard, network transmission performance can be evaluated and compared to determine whether it meets the needs of a specific application.

[0153] Furthermore, if the corresponding data retransmission scheme in the retransmission data model meets the preset transmission efficiency standard, the abnormal power transmission data is retransmitted according to the data retransmission scheme: through model verification, it is determined whether the retransmission data scheme can meet the preset transmission efficiency standard, and whether to perform the data retransmission operation is determined based on the result.

[0154] This embodiment provides a power data transmission control method, and the retransmission data model is based on an in-depth analysis and research of transmission influencing factors and transmission anomaly types, and can provide a variety of targeted optimization strategies and anomaly elimination solutions. These solutions can be selected and combined according to the specific transmission anomaly types and influencing factors to improve the quality and efficiency of data transmission. Through the retransmission data model, various optimization strategies and anomaly elimination solutions can be fully integrated and coordinated, thereby improving data transmission efficiency.

[0155] The present application embodiment discloses a power data transmission control system, such as Figure 8 Shown, including:

[0156] Verification code acquisition module 1, used to obtain the sending verification code and receiving verification code corresponding to the power transmission data;

[0157] Verification module 2, if the verification result corresponding to the sent verification code and the received verification code is abnormal, then the verification module 2 is used to obtain corresponding abnormal power transmission data;

[0158] An abnormality type acquisition module 3 is used to obtain the transmission abnormality type corresponding to the abnormal power transmission data;

[0159] Calculation module 4, if there are multiple transmission anomaly types, the calculation module 4 is used to calculate the corresponding anomaly correlation coefficients between the transmission anomaly types;

[0160] A correlation category acquisition module 5 is configured to acquire a correlation category corresponding to the transmission anomaly type according to the anomaly correlation coefficient;

[0161] A correlation setting module 6, if the correlation category is correlation exception, then the correlation setting module 6 is used to set the exception handling priority corresponding to the transmission exception type according to the degree of correlation between the transmission exception types;

[0162] a non-correlation setting module 7, which is used to set the exception handling priority corresponding to the transmission exception type according to a preset exception classification standard if the correlation category is a non-correlation exception;

[0163] The retransmission module 8 is configured to retransmit the abnormal power transmission data according to the abnormal processing priority and a corresponding data retransmission scheme.

[0164] The power data transmission control system provided in this embodiment can quickly detect abnormal data through the verification module 2 and determine the abnormal type through the abnormal type acquisition module 3 based on the sending and receiving verification codes of the power transmission data obtained by the verification code acquisition module 1. When multiple abnormal types of transmission abnormality appear, the abnormal correlation coefficient corresponding to the transmission abnormality type can be calculated by the calculation module 4 to accurately identify the correlation between the transmission abnormality types. In combination with the actual situation of the transmission abnormality type, the corresponding abnormality processing priority is set through the correlation setting module 6 or the non-correlation setting module 7. Further, by matching the adaptive data retransmission scheme, the abnormal data can be retransmitted in a timely and effective manner through the retransmission module 8, thereby improving the efficiency of data transmission.

[0165] It should be noted that the power data transmission control system provided in the embodiment of the present application also includes various modules and / or corresponding sub-modules corresponding to the logical functions or logical steps of any of the above-mentioned power data transmission control methods, to achieve the same effects as the various logical functions or logical steps, and the details will not be repeated here.

[0166] An embodiment of the present application also discloses a terminal device, including a memory, a processor, and computer instructions stored in the memory and capable of running on the processor, wherein when the processor executes the computer instructions, any one of the power data transmission control methods in the above embodiments is adopted.

[0167] Among them, the terminal device can be a computer device such as a desktop computer, a laptop computer or a cloud server, and the terminal device includes but is not limited to a processor and a memory. For example, the terminal device can also include input and output devices, network access devices and buses, etc.

[0168] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0169] Among them, the memory can be an internal storage unit of the terminal device, such as the hard disk or memory of the terminal device, or it can be an external storage device of the terminal device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD) or flash memory card (FC) equipped on the terminal device, etc., and the memory can also be a combination of the internal storage unit and the external storage device of the terminal device. The memory is used to store computer instructions and other instructions and data required by the terminal device. The memory can also be used to temporarily store data that has been output or is to be output. This application does not impose any restrictions on this.

[0170] Among them, through this terminal device, any one of the power data transmission control methods in the above embodiments is stored in the memory of the terminal device, and is loaded and executed on the processor of the terminal device for easy use.

[0171] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores computer instructions, wherein when the computer instructions are executed by a processor, any one of the power data transmission control methods in the above embodiments is adopted.

[0172] Among them, computer instructions can be stored in computer-readable media, computer instructions include computer instruction codes, computer instruction codes can be in source code form, object code form, executable files or certain middleware forms, etc. Computer-readable media include any entity or device that can carry computer instruction codes, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memories, read-only memories (ROMs), random access memories (RAMs), electrical carrier signals, telecommunication signals and software distribution media, etc. It should be noted that computer-readable media include but are not limited to the above-mentioned components.

[0173] Among them, through this computer-readable storage medium, any one of the power data transmission control methods in the above embodiments is stored in the computer-readable storage medium, and is loaded and executed on the processor to facilitate the storage and application of the above method.

[0174] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A power data transmission control method, characterized in that: The following steps are involved: Obtaining a sending verification code and a receiving verification code corresponding to the power transmission data; If the verification result corresponding to the sending verification code and the receiving verification code is abnormal, obtaining corresponding abnormal power transmission data; Acquire a transmission abnormality type corresponding to the abnormal power transmission data; If there are multiple transmission anomaly types, then calculating the corresponding anomaly correlation coefficients between the transmission anomaly types; Obtaining a correlation category corresponding to the transmission anomaly type according to the anomaly correlation coefficient; If the correlation category is a correlation exception, setting the exception handling priority corresponding to the transmission exception type according to the degree of correlation between the transmission exception types; If the correlation category is a non-correlation exception, setting the exception handling priority corresponding to the transmission exception type according to a preset exception classification standard; According to the exception handling priority, matching a corresponding data retransmission scheme to retransmit the abnormal power transmission data; If the correlation category is a correlation exception, then after setting the exception handling priority corresponding to the transmission exception type according to the degree of correlation between the transmission exception types, the following steps are also included: Obtaining the associated exception types corresponding to the transmission exception types; If the correlation anomaly type is a unidirectional correlation anomaly, determining the corresponding root transmission anomaly and induced transmission anomaly in the transmission anomaly type; In combination with the root transmission anomaly and the induced transmission anomaly, a corresponding anomaly association indication diagram is generated.

2. The power data transmission control method according to claim 1, characterized in that: After obtaining the transmission abnormality type corresponding to the abnormal power transmission data, the method further includes the following steps: If the transmission exception type is recorded in the exception log, the induction frequency corresponding to the transmission exception type is obtained; If the induction frequency exceeds a preset frequency threshold, determining whether the transmission abnormality type corresponds to multiple inducing factors; If the transmission abnormality type corresponds to multiple inducing factors, obtaining the abnormal contribution ratio of each inducing factor relative to the transmission abnormality type; In combination with the abnormal contribution ratio and the induction frequency, an inducement analysis report corresponding to the transmission abnormality type is generated.

3. The power data transmission control method according to claim 2, characterized in that: If the transmission abnormality type corresponds to multiple inducing factors, after obtaining the abnormality contribution ratio of each inducing factor relative to the transmission abnormality type, the following steps are also included: According to the abnormal contribution ratio, the corresponding inducing factors are divided into main inducing factors and secondary inducing factors; If there is an induction association between the main inducing factor and the sub-inducing factor, a corresponding associated inducing group is generated by combining the main inducing factor and the sub-inducing factor.

4. The power data transmission control method according to claim 1, characterized in that: After obtaining the correlation exception types corresponding to the transmission exception types, the following steps are also included: If the correlation anomaly type is a bidirectional correlation anomaly, obtaining target correlation factors corresponding to the transmission anomaly types; According to the correlation coefficients between the target correlation factors, a corresponding abnormal correlation trend graph is generated.

5. The power data transmission control method according to claim 1, characterized in that: The retransmitting the abnormal power transmission data by matching a corresponding data retransmission scheme according to the abnormal processing priority comprises the following steps: acquiring, according to the exception handling priority, transmission influencing factors between the abnormal power transmission data and the current power transmission data; In combination with the transmission influencing factors and the transmission abnormality type, the corresponding data retransmission scheme is matched to retransmit the abnormal power transmission data.

6. The power data transmission control method according to claim 5, characterized in that: The step of combining the transmission influencing factors and the transmission abnormality type, matching the corresponding data retransmission scheme to retransmit the abnormal power transmission data comprises the following steps: Obtaining an optimization strategy corresponding to the transmission influencing factor; Obtaining a solution to the transmission anomaly type; In combination with the optimization strategy and the anomaly elimination scheme, a retransmission data model corresponding to the abnormal power transmission data is established; If the data retransmission scheme corresponding to the retransmission data model meets a preset transmission efficiency standard, the abnormal power transmission data is retransmitted according to the data retransmission scheme.

7. A power data transmission control system, which adopts the power data transmission control method according to claim 1, characterized in that: include: A check code acquisition module (1) is used to acquire a sending check code and a receiving check code corresponding to the power transmission data; A verification module (2), if the verification result corresponding to the sent verification code and the received verification code is abnormal, the verification module (2) is used to obtain corresponding abnormal power transmission data; An abnormality type acquisition module (3) is used to acquire the transmission abnormality type corresponding to the abnormal power transmission data; A calculation module (4), if there are multiple transmission anomaly types, the calculation module (4) is used to calculate the corresponding anomaly correlation coefficients between the transmission anomaly types; A correlation category acquisition module (5) is used to acquire the correlation category corresponding to the transmission anomaly type according to the anomaly correlation coefficient; A correlation setting module (6), if the correlation category is correlation abnormality, the correlation setting module (6) is used to set the exception handling priority corresponding to the transmission abnormality type according to the correlation degree between the transmission abnormality types; A non-correlation setting module (7), if the correlation category is a non-correlation exception, the non-correlation setting module (7) is used to set the exception handling priority corresponding to the transmission exception type according to a preset exception classification standard; A retransmission module (8) is used to match a corresponding data retransmission scheme according to the exception processing priority to retransmit the abnormal power transmission data.

8. A terminal device comprising a memory and a processor, characterized in that: The memory stores computer instructions that can be run on the processor. When the processor loads and executes the computer instructions, the power data transmission control method according to any one of claims 1 to 6 is adopted.

9. A computer-readable storage medium storing computer instructions, characterized in that: When the computer instructions are loaded and executed by the processor, a power data transmission control method according to any one of claims 1 to 6 is adopted.

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