A data monitoring system based on electric power telecontrol

Abstract

The invention discloses a data monitoring system based on electric power telecontrol, a sensor module, a preprocessing module, a transmission analysis module, a data processing module, a data transmission module, a data receiving module, a data verification module, a re-acquisition module and a monitoring display module, and the invention relates to the field of data monitoring technology. The data monitoring system based on electric power telecontrol avoids unnecessary data transmission and saves network resources through an intelligent transmission analysis method, and only transmits operation data exceeding the standard fluctuation difference, which greatly reduces the data transmission amount, reduces the communication cost and system burden, improves the transmission efficiency, preprocesses the different attribute operation parameters of multiple time nodes within a specified period, calculates the accurate fluctuation range and the standard fluctuation difference, can more accurately reflect the operation status of the controlled station, and ensures the accuracy and reliability of data processing based on scientific variance calculation and comparison.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a data monitoring system based on electric power telecontrol. Background Art

[0002] In today's power system, efficient, accurate and reliable data monitoring is essential. As the scale of power systems continues to expand and the complexity increases, higher requirements are placed on the monitoring of power telecontrol data.

[0003] The traditional power data monitoring system has many shortcomings. First, it does not take into account the efficiency of data transmission. The traditional method is usually to transmit a large amount of raw data without screening. This not only wastes communication resources and increases transmission costs, but also may cause transmission delays and data loss due to excessive data volume. That is, all data must be transmitted regardless of the size of the change, which will cause a waste of resources when the bandwidth is limited; secondly, the real-time and accuracy of the data cannot be fully guaranteed, because the data can only be updated when the next transmission cycle arrives, and if important changes occur during this period, they will not be reflected immediately; finally, a large amount of data transmission may also introduce more errors and require more data verification work. At the same time, the verification means for the received data are relatively weak, and the accuracy and integrity of the data cannot be ensured. Once erroneous data appears, it may cause serious misleading to the operation monitoring and decision-making of the power system.

[0004] In summary, in order to meet the requirements of modern power systems for high precision, low transmission cost, high reliability and real-time data monitoring, a new data monitoring system based on power telecontrol is urgently needed to achieve more accurate control and more efficient management of the operating status of the power system, so as to overcome the many problems existing in the traditional system. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a data monitoring system based on electric power telecontrol, which solves the problems raised in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A data monitoring system based on electric power telecontrol, comprising:

[0007] The sensor module is used to obtain the operation data of the controlled station, and the operation data includes a plurality of operation parameters with different attributes; the operation parameters with different attributes refer to the existence of a plurality of parameters with different properties or characteristics and used to describe the operation status of the controlled station during its operation;

[0008] The preprocessing module is used to preprocess the operating parameters of different attributes at multiple time nodes within a specified period and obtain the fluctuation range of the operating parameters of the corresponding attributes;

[0009] The transmission analysis module is used to perform transmission analysis based on the different attribute operation parameters currently displayed by the master control station and the standard fluctuation difference, and determine whether to transmit the operation data obtained in real time by the sensor module at the current time node according to the analysis results;

[0010] The data processing module is used to process the determined transmission operation data in packets and obtain the parameter information packet and verification information packet to be transmitted;

[0011] A data transmission module, used for transmitting the parameter information packet and verification information packet of the controlled station to the master control station;

[0012] A data receiving module, used for receiving parameter information packets and verification information packets from the controlled station;

[0013] The data verification module is used to verify the information packet and perform parameter verification on the transmission parameter information packet, and determine whether all the received operating parameters are correct according to the verification result;

[0014] The monitoring and display module is used to display all the transmission's different attribute operating parameters on the master control station.

[0015] As a further solution of the present invention: the pretreatment method is as follows:

[0016] Step C1, select an operating parameter of an attribute, and obtain the operating parameters at multiple time nodes within the specified period when the controlled station is in normal operation;

[0017] Among them, the time difference of each adjacent time node is consistent;

[0018] Step C2, respectively, take the operating parameters at each time node as the standard parameters, and calculate the absolute value of the difference between the operating parameters at other time nodes and the operating parameters, and then mark the absolute value of the difference as Ki, i=1, 2, ... n, n represents the number of all absolute values ​​of the difference;

[0019] Step C3, calculate the discrete value LS of the attribute operation parameter through the variance calculation formula;

[0020] Then the discrete value LS is compared with its corresponding preset discrete threshold LSy:

[0021] When LS≤LSy, directly obtain all Ki involved in the calculation of the discrete value LS, calculate the average value of all Ki, and then mark the average value as the standard fluctuation difference;

[0022] When LS>LSy, delete the corresponding Ki in the order of |Ki-Kp| from large to small and calculate the remaining discrete values ​​LS accordingly, until LS≤LSy; then obtain all Ki involved in the calculation of the corresponding discrete value LS when LS≤LSy, calculate the average value of all Ki, and then mark the average value as the standard fluctuation difference;

[0023] Among them, || represents the absolute value, and Kp represents the average value of all Ki used in calculating the corresponding discrete value;

[0024] Step C4, and so on, calculate the standard fluctuation difference of all operating parameters with different attributes.

[0025] As a further solution of the present invention: the transmission analysis method is as follows:

[0026] Step D1, obtain the current multiple operating parameters of different attributes of the controlled station in real time according to the sensor module, and mark them as real-time operating parameters, and at the same time obtain the different attribute operating parameters currently displayed by the master control station, and mark them as monitoring operating parameters;

[0027] Step D2, extract the real-time operation parameters and monitoring operation parameters corresponding to the same attribute from Step D1, and calculate the difference between them;

[0028] Step D3, compare the difference values ​​corresponding to each attribute in Step D2 with the standard fluctuation difference corresponding to the attribute:

[0029] If the differences corresponding to all attributes are less than or equal to the standard fluctuation differences corresponding to their attributes, no transmission signal is generated;

[0030] If the differences corresponding to all attributes contain at least one difference that is greater than the standard fluctuation difference corresponding to its attribute, a transmission signal is generated.

[0031] As a further solution of the present invention: in Step D3, the transmission signal is used to import the operating data obtained by the sensor module from the controlled station at the corresponding time node into the data processing module for packet processing, and then the processed operating data is transmitted to the master control station through the data transmission module, and the different attribute operating parameters currently displayed by the master control station are updated.

[0032] As a further solution of the present invention: the sub-packaging processing method is as follows:

[0033] StepA1. All operating parameters are marked with attributes. The attribute mark is Si, where i=1, 2, ... n, and n represents the number of operating parameters of different attributes. One attribute mark represents an operating parameter of one attribute.

[0034] StepA2, quantify all operating parameters and obtain their values;

[0035] Step A3, bundle all the operation parameters with attribute tags into a parameter information package;

[0036] StepA4, select one parameter from multiple operating parameters as a benchmark parameter;

[0037] Step A5, respectively calculate the ratios of other operating parameters to the benchmark parameters, and add attribute tags corresponding to other operating parameters to each ratio;

[0038] Step A6: Bundle the ratios of all the operating parameters with attribute tags added to the benchmark parameters into a verification information package.

[0039] As a further solution of the present invention: wherein the ratio calculated as the reference parameter is 1, and its bundled value verification information packet contains a corresponding attribute tag.

[0040] As a further solution of the present invention: the parameter verification method is as follows:

[0041] Step B1, extract all operating parameters and their corresponding attribute tags from the parameter information package;

[0042] Step B2, extract all ratios and their corresponding attribute tags from the verification information packet;

[0043] Step B3, first extract the benchmark parameters according to the attribute tag, and then obtain the operating parameters and ratios of the same attribute tag;

[0044] Step B4, determine whether the data of the transmission parameter information package is correct by determining whether the formula: reference parameter * ratio = operating parameter is established;

[0045] If the determination formula is established, it means that the operating parameters corresponding to the same attribute tag are correct, and then the operating parameters of other attribute tags are determined one by one through the determination formula.

[0046] As a further solution of the present invention: in Step B4, when the determination results of all operating parameters are correct, all operating parameters are transmitted to the monitoring and display module.

[0047] As a further embodiment of the present invention: the present invention further comprises:

[0048] The re-acquisition module is used to acquire the reference parameters and the operating parameters of the corresponding attribute tags from the data processing module according to the attribute tags of the generated re-transmission signal, and then import them into the data verification module.

[0049] As a further solution of the present invention: in Step B3, if the determination formula is not established, it means that the operating parameter corresponding to the same attribute tag is incorrect, and a retransmission signal is generated, and then the retransmission signal is sent to the re-acquisition module.

[0050] The present invention provides a data monitoring system based on electric power telecontrol. Compared with the prior art, it has the following beneficial effects:

[0051] Efficient data transmission: The present invention avoids unnecessary data transmission and saves network resources through intelligent transmission analysis. It only transmits operating data that exceeds the standard fluctuation difference, greatly reducing the amount of data transmission, reducing communication costs and system burden, and improving transmission efficiency.

[0052] Accurate data analysis: The present invention pre-processes the operating parameters of different attributes of multiple time nodes within a specified period, calculates the accurate fluctuation range and standard fluctuation difference, and can more accurately reflect the operating status of the controlled station. Based on scientific variance calculation and comparison, the accuracy and reliability of data processing are ensured.

[0053] Reliable data verification: The present invention adopts a strict parameter verification method, and ensures the accuracy and integrity of the transmitted data through ratio calculation and judgment formula. Incorrect data can be discovered and retransmitted in time, ensuring the correctness of the data displayed by the master control station.

[0054] Optimize system performance: In the present invention, the data packet processing method improves the efficiency of data organization and management, facilitates subsequent transmission and processing, and the optimized design of the overall system can effectively improve the performance and stability of the electric power telecontrol data monitoring system.

[0055] Real-time monitoring and updating: The present invention timely transmits the latest operating data of the controlled station to the master control station and displays it, so that the staff can grasp the operating status of the controlled station in real time, facilitating timely decision-making and adjustment.

[0056] Strong adaptability: The present invention can adapt to the operating parameters of various different properties of the controlled station and has wide applicability and flexibility.

[0057] Fault warning and diagnosis: Accurate monitoring and analysis of operating parameters helps to detect abnormalities in a timely manner, provides strong support for fault warning and diagnosis, and improves the safety and reliability of the system.

[0058] To sum up, in the actual electric power telecontrol system, the present invention can accurately detect whether small fluctuations in voltage exceed the normal range, and transmit key data in a timely manner, avoiding the transmission of a large amount of useless data, while ensuring the accuracy of the transmitted data, so that power dispatchers can monitor the operating status of the power system more efficiently and accurately, discover potential problems in a timely manner and take measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1

[0061] See also Figure 1 As a first embodiment of the present invention, the present invention provides a technical solution: a data monitoring system based on electric power telecontrol, comprising:

[0062] The sensor module is used to obtain the operating data of the controlled station, and the operating data includes multiple operating parameters with different attributes;

[0063] In this embodiment, a plurality of operating parameters with different attributes such as voltage parameters, current parameters, frequency parameters, temperature parameters, humidity parameters, etc.;

[0064] A data processing module, used for sub-packaging and processing the operation data;

[0065] The specific processing methods are as follows:

[0066] StepA1. All operating parameters are marked with attributes, where the attribute mark is Si, i=1, 2, ... n, and n represents the number of operating parameters;

[0067] In this embodiment, an attribute tag represents an operating parameter. For example, when i=1, Si is S1, which is an attribute tag of a voltage parameter. When i=n, ​​Si is Sn, which is an attribute tag of a humidity parameter.

[0068] StepA2, quantify all operating parameters and obtain their values;

[0069] Step A3, bundle all the operation parameters with attribute tags into a parameter information package;

[0070] StepA4, select one parameter from multiple operating parameters as a benchmark parameter;

[0071] Step A5, respectively calculate the ratios of other operating parameters to the benchmark parameters, and add attribute tags corresponding to other operating parameters to each ratio;

[0072] Step A6, bundling the ratios of all the operating parameters with attribute tags added to the benchmark parameters into a verification information package;

[0073] The ratio calculated as the reference parameter is 1, and the bundled value verification information packet contains the corresponding attribute tag;

[0074] A data transmission module, used for transmitting the parameter information packet and the verification information packet to the master control station;

[0075] A data receiving module, used to receive the parameter information packet and the verification information packet transmitted by the data transmission module, and then import them into the data verification module;

[0076] A data verification module, used for verifying information packets to perform parameter verification on transmission parameter information packets;

[0077] The specific method is as follows:

[0078] Step B1, extract all operating parameters and their corresponding attribute tags from the parameter information package;

[0079] Step B2, extract all ratios and their corresponding attribute tags from the verification information packet;

[0080] StepB3, first extract the benchmark parameters based on the attribute tags;

[0081] Then, the operating parameters and ratios of the same attribute tag are obtained;

[0082] Step B4, determine whether the data of the transmission parameter information package is correct by determining whether the formula: reference parameter * ratio = operating parameter is established;

[0083] If the determination formula is established, it means that the operating parameters corresponding to the same attribute tag are correct, and then the operating parameters of other attribute tags are determined one by one through the determination formula;

[0084] When the determination results of all operating parameters are correct, all operating parameters are transmitted to the monitoring and display module;

[0085] The monitoring and display module is used to display all the transmission's different attribute operation parameters on the master control station;

[0086] In this embodiment, the controlled station refers to a site or device that is in a controlled and monitored position in the system. It is the terminal part of the system and is responsible for collecting local operating data, status information, etc., and performing corresponding operations according to the instructions of the master control station; the master control station is the core and command center of the entire monitoring and control system. It receives data from each controlled station and processes, analyzes and stores the data.

[0087] This embodiment can comprehensively obtain multiple operating parameters of different attributes of the controlled station, such as voltage, current, frequency, temperature, humidity, etc., to achieve a multi-dimensional description of the operating status of the controlled station; the operating data is effectively sub-packaged, and the steps of attribute labeling, dequantization and outline value extraction, bundling parameter information packages and calculating ratios to form verification information packages are used to lay the foundation for accurate data transmission and verification; the data verification module ensures the data correctness of the transmission parameter information package through the judgment formula, and ensures the accuracy and reliability of the data; the monitoring and display module displays the correct operating parameters at the master control station, so that the staff can intuitively understand the operating status of the controlled station. Embodiment 2

[0088] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that in the present embodiment, in Step B3,

[0089] If the determination formula is not established, it means that the operating parameter corresponding to the same attribute tag is incorrect, and a retransmission signal is generated, and then the retransmission signal is sent to the re-acquisition module;

[0090] A re-acquisition module, for acquiring the reference parameters and the operating parameters of the corresponding attribute tags from the data processing module according to the attribute tags of the generated re-transmission signal, and then importing them into the data verification module;

[0091] In addition to the functions of the first embodiment, this embodiment can generate a retransmission signal when the judgment formula is not established in the data verification, and reacquire and verify the data through the re-acquisition module, thereby further improving the accuracy and integrity of data transmission. Embodiment 3

[0092] As the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is that: this embodiment includes:

[0093] The preprocessing module is used to preprocess the operating parameters of different attributes at multiple time nodes within a specified period and obtain the fluctuation range of the operating parameters of the corresponding attributes;

[0094] The preprocessing method is as follows: Take the running parameters of an attribute as an example:

[0095] Step C1, when the controlled station is in normal operation, obtain the operating parameters at multiple time nodes within the specified period;

[0096] Among them, the time difference of each adjacent time node is consistent;

[0097] Step C2, respectively, take the operating parameters at each time node as the standard parameters, and calculate the absolute value of the difference between the operating parameters at other time nodes and the operating parameters, and then mark the absolute value of the difference as Ki, i=1, 2, ... n, n represents the number of all absolute values ​​of the difference;

[0098] Step C3, calculate the discrete value LS of the attribute operation parameter through the variance calculation formula;

[0099] Then the discrete value LS is compared with its corresponding preset discrete threshold LSy:

[0100] When LS≤LSy, directly obtain all Ki involved in the calculation of the discrete value LS, calculate the average value of all Ki, and then mark the average value as the standard fluctuation difference;

[0101] When LS>LSy, delete the corresponding Ki in the order of |Ki-Kp| from large to small and calculate the remaining discrete values ​​LS accordingly, until LS≤LSy; then obtain all Ki involved in the calculation of the corresponding discrete value LS when LS≤LSy, calculate the average value of all Ki, and then mark the average value as the standard fluctuation difference;

[0102] Among them, || represents the absolute value, and Kp represents the average value of all Ki used in calculating the corresponding discrete value;

[0103] Step C4, and so on, calculate the standard fluctuation difference of all operating parameters with different attributes;

[0104] The transmission analysis module is used to perform transmission analysis based on the different attribute operation parameters currently displayed by the master control station and combined with the standard fluctuation difference:

[0105] The transmission analysis method is as follows:

[0106] Step D1, obtain the current multiple operating parameters of different attributes of the controlled station in real time according to the sensor module, and mark them as real-time operating parameters, and at the same time obtain the different attribute operating parameters currently displayed by the master control station, and mark them as monitoring operating parameters;

[0107] Step D2, extract the real-time operation parameters and monitoring operation parameters corresponding to the same attribute from Step D1, and calculate the difference between them;

[0108] Step D3, compare the difference values ​​corresponding to each attribute in Step D2 with the standard fluctuation difference corresponding to the attribute:

[0109] If the differences corresponding to all attributes are less than or equal to the standard fluctuation differences corresponding to the attributes, it means that the fluctuation range between the different attribute operation parameters currently displayed by the current master control station and the different attribute operation parameters currently obtained in real time by the controlled station is small. The different attribute operation parameters currently displayed by the master control station can indicate that the different attribute operation parameters of the current controlled station are within the monitoring range and no transmission signal is generated;

[0110] If at least one of the differences corresponding to all attributes is greater than the standard fluctuation difference corresponding to the attribute, it means that the fluctuation range between the different attribute operation parameters currently displayed by the current master control station and the different attribute operation parameters currently obtained in real time by the controlled station is large, and it means that the different attribute operation parameters of the current controlled station are no longer within the monitoring range of the different attribute operation parameters currently displayed by the master control station, and a transmission signal is generated accordingly;

[0111] The transmission signal is used to import the operating data obtained by the sensor module from the controlled station at the corresponding time node into the data processing module for sub-packaging processing, and then transmit the processed operating data to the master control station through the data transmission module, and update the different attribute operating parameters currently displayed by the master control station;

[0112] This embodiment includes the functions of the first and second embodiments. The preprocessing module preprocesses the different attribute operating parameters of multiple time nodes within a specified period to obtain the fluctuation range of the corresponding attribute operating parameters, which helps to more accurately evaluate the operating stability of the controlled station. The transmission analysis module performs transmission analysis based on the different attribute operating parameters and standard fluctuation differences currently displayed by the master station, and can intelligently determine whether the operating data of the current controlled station needs to be transmitted, thereby reducing unnecessary data transmission, improving transmission efficiency, and reducing system burden. Embodiment 4

[0113] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second, third and fourth embodiments.

[0114] This embodiment integrates all the functions of Embodiment 1, Embodiment 2 and Embodiment 3, realizes the comprehensive collection, efficient processing, accurate transmission, strict verification and intelligent analysis of the controlled station operation data, and maximizes the performance and reliability of the electric power telecontrol data monitoring system.

[0115] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0116] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0117] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A data monitoring system based on electric power telecontrol, characterized in that: include: The sensor module is used to obtain the operating data of the controlled station, and the operating data includes multiple operating parameters with different attributes; The operating parameters with different attributes refer to the fact that during the operation of the controlled station, there are multiple parameters with different properties or characteristics and used to describe its operating status; The preprocessing module is used to preprocess the operating parameters of different attributes at multiple time nodes within a specified period and obtain the fluctuation range of the operating parameters of the corresponding attributes; The transmission analysis module is used to perform transmission analysis based on the different attribute operation parameters currently displayed by the master control station and the standard fluctuation difference, and determine whether to transmit the operation data obtained in real time by the sensor module at the current time node according to the analysis results; The data processing module is used to perform packet processing on the operation data to be transmitted and obtain the parameter information package and verification information package to be transmitted; the packet processing method is as follows: StepA1. All operating parameters are marked with attributes. The attribute mark is Si, where i=1, 2, ... n, and n represents the number of operating parameters of different attributes. One attribute mark represents an operating parameter of one attribute. StepA2, quantify all operating parameters and obtain their values; Step A3, bundle all the operation parameters with attribute tags into a parameter information package; StepA4, select one parameter from multiple operating parameters as a benchmark parameter; Step A5, respectively calculate the ratios of other operating parameters to the benchmark parameters, and add attribute tags corresponding to other operating parameters to each ratio; Step A6, bundling the ratios of all the operating parameters with attribute tags added to the benchmark parameters into a verification information package; A data transmission module, used for transmitting the parameter information packet and verification information packet of the controlled station to the master control station; A data receiving module, used for receiving parameter information packets and verification information packets from the controlled station; The data verification module is used to verify the information packet and perform parameter verification on the transmission parameter information packet, and determine whether all the received operating parameters are correct according to the verification result; The monitoring and display module is used to display all the transmission's different attribute operating parameters on the master control station.

2. A data monitoring system based on electric power telecontrol according to claim 1, characterized in that: The preprocessing method is as follows: Step C1, select an operating parameter of an attribute, and obtain the operating parameters at multiple time nodes within the specified period when the controlled station is in normal operation; Among them, the time difference of each adjacent time node is consistent; Step C2, respectively, take the operating parameters at each time node as the standard parameters, and calculate the absolute value of the difference between the operating parameters at other time nodes and the operating parameters, and then mark the absolute value of the difference as Ki, i=1, 2, ... n, n represents the number of all absolute values ​​of the difference; Step C3, calculate the discrete value LS of the attribute operation parameter through the variance calculation formula; Then the discrete value LS is compared with its corresponding preset discrete threshold LSy: When LS≤LSy, directly obtain all Ki involved in the calculation of the discrete value LS, calculate the average value of all Ki, and then mark the average value as the standard fluctuation difference; When LS>LSy, delete the corresponding Ki in the order of |Ki-Kp| from large to small and calculate the remaining discrete values ​​LS accordingly, until LS≤LSy; then obtain all Ki involved in the calculation of the corresponding discrete value LS when LS≤LSy, calculate the average value of all Ki, and then mark the average value as the standard fluctuation difference; Among them, || represents the absolute value, and Kp represents the average value of all Ki used in calculating the corresponding discrete value; Step C4, and so on, calculate the standard fluctuation difference of all operating parameters with different attributes.

3. A data monitoring system based on electric power telecontrol according to claim 2, characterized in that: The transmission analysis method is as follows: Step D1, obtain the current multiple operating parameters of different attributes of the controlled station in real time according to the sensor module, and mark them as real-time operating parameters, and at the same time obtain the different attribute operating parameters currently displayed by the master control station, and mark them as monitoring operating parameters; Step D2, extract the real-time operation parameters and monitoring operation parameters corresponding to the same attribute from Step D1, and calculate the difference between them; Step D3, compare the difference values ​​corresponding to each attribute in Step D2 with the standard fluctuation difference corresponding to the attribute: If the differences corresponding to all attributes are less than or equal to the standard fluctuation differences corresponding to their attributes, no transmission signal is generated; If the differences corresponding to all attributes contain at least one difference that is greater than the standard fluctuation difference corresponding to its attribute, a transmission signal is generated.

4. The data monitoring system based on electric power telecontrol according to claim 3 is characterized in that: In Step D3, the transmission signal is used to import the operating data obtained by the sensor module from the controlled station at the corresponding time node into the data processing module for sub-packaging processing, and then transmit the processed operating data to the master control station through the data transmission module, and update the different attribute operating parameters currently displayed by the master control station.

5. The data monitoring system based on electric power telecontrol according to claim 1 is characterized in that: in, The ratio calculated as the reference parameter is 1, and its bundled value is verified in the information packet and contains the corresponding attribute tag.

6. The data monitoring system based on electric power telecontrol according to claim 1 is characterized in that: The parameters are verified as follows: Step B1, extract all operating parameters and their corresponding attribute tags from the parameter information package; Step B2, extract all ratios and their corresponding attribute tags from the verification information packet; Step B3, first extract the benchmark parameters according to the attribute tag, and then obtain the operating parameters and ratios of the same attribute tag; Step B4, determine whether the data of the transmission parameter information package is correct by determining whether the formula: reference parameter * ratio = operating parameter is established; If the determination formula is established, it means that the operating parameters corresponding to the same attribute tag are correct, and then the operating parameters of other attribute tags are determined one by one through the determination formula.

7. The data monitoring system based on electric power telecontrol according to claim 6 is characterized in that: In Step B4, when the determination results of all operating parameters are correct, all operating parameters are transmitted to the monitoring and display module.

8. The data monitoring system based on electric power telecontrol according to claim 6 is characterized in that: Also includes: The re-acquisition module is used to acquire the reference parameters and the operating parameters of the corresponding attribute tags from the data processing module according to the attribute tags of the generated re-transmission signal, and then import them into the data verification module.

9. The data monitoring system based on electric power telecontrol according to claim 8, characterized in that: In Step B3, if the determination formula is not established, it means that the operating parameter corresponding to the same attribute tag is incorrect, and a retransmission signal is generated, and then the retransmission signal is sent to the re-acquisition module.

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