A protocol conversion method for online monitoring data based on transmission line operation status

Abstract

The application discloses a kind of based on transmission line operating state's online monitoring data protocol conversion method, comprising: obtaining the operating state information of transmission line and the demand of receiving port processing equipment communication;Operating state information is mapped with data protocol, data protocol and the demand of receiving port processing equipment communication are established mapping relationship;According to the mapping relationship, online monitoring data protocol is converted, if there is no identifiable feature capable of identifying operating state information, by clustering operating state information, temporarily mapping relationship is re-established and according to the temporarily mapping relationship, online monitoring data protocol is converted;If still cannot match corresponding data protocol after re-establishing temporary mapping relationship, generate abnormal early warning.The application can improve the efficiency of data processing, enhance the accuracy of data analysis, can more effectively process monitoring data, provide high-quality data basis for data monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of data protocol conversion, and in particular to a method for converting online monitoring data based on the operating status of a power transmission line. Background Art

[0002] At present, the monitoring data between different manufacturers and different types of online monitoring devices in China are all run on a single track. By establishing unified data exchange rules, adaptive plug-and-play can be achieved among different manufacturers and various terminals, and monitoring data can be interactive in a friendly manner.

[0003] Compared to data processing equipment, network switching equipment requires higher data exchange capabilities per unit time. Therefore, higher-speed data interfaces are required to match this processing performance. Therefore, gigabit optical and gigabit electrical interfaces are used as functional interfaces. Network switching equipment uses either optical or electrical interfaces for communication based on actual needs. According to the communication protocol, the data conversion system must convert data into big-endian and small-endian before transmission. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the existing data reduction method for online monitoring of the operation status of transmission lines is single and cannot meet the needs of multiple data processing.

[0007] To solve the above technical problems, the present invention provides the following technical solution: a method for converting online monitoring data based on the operating status of a transmission line, comprising:

[0008] Obtaining the operating status information of the transmission line and the communication needs of the receiving port processing equipment;

[0009] Establishing mapping relationships between operation status information and data protocols, and between data protocols and communication requirements of receiving port processing equipment;

[0010] The online monitoring data specification is converted according to the mapping relationship. If there is no identifiable feature capable of identifying the operating status information, a temporary mapping relationship is re-established by clustering the operating status information and the online monitoring data specification is converted according to the temporary mapping relationship.

[0011] If the corresponding data specification cannot be matched after the temporary mapping relationship is re-established, an abnormal warning will be generated.

[0012] As a preferred solution of the online monitoring data protocol conversion method based on the transmission line operation status of the present invention, wherein: the operation status information includes electrical parameter information and environmental parameter information of the transmission line during operation obtained by sensors;

[0013] Edge computing is used to perform intelligent analysis on parameter information collected by sensors.

[0014] As a preferred solution of the online monitoring data protocol conversion method based on the transmission line operation status described in the present invention, wherein: the intelligent analysis includes: presetting the correspondence between the protocol and the standard operation status information, and topologically converting the preset correspondence into a mapping relationship model as a front-end mapping model;

[0015] A→B

[0016] Where A represents the identifiable features of the standard operating status information, and B represents the set of protocols corresponding to the operating status information;

[0017] The topology of the matching relationship between the communication requirements of the receiving port processing device and the data protocol conversion result is a mapping relationship model as a backend mapping model;

[0018] B0→C

[0019] Among them, B0 represents the result of data protocol conversion, and C represents the set of communication requirements of the receiving port processing device;

[0020] The standard operating status information includes filtering parameter information of the transmission line during stable operation to remove abnormal values ​​and noise, extracting identifiable features from the filtered signal, and using the identifiable features as standard operating status information that can be used for online monitoring of the operating status of the transmission line.

[0021] As a preferred embodiment of the method for converting online monitoring data based on the transmission line operation status according to the present invention, the identifiable features include normalizing the history of the transmission line operation status information to obtain an average value of each group of transmission line operation status parameter information, excluding the common parts of all parameter information of each group of transmission line operation status, retaining the remaining parameters, and using the remaining parameters as the primary identifiable features that distinguish the transmission line operation status information from other transmission line operation status information;

[0022] If there is no primary identifiable feature that is different from other transmission line operation status information after excluding the common parts of all parameter information of each transmission line operation status, then secondary feature extraction is performed on each group of information without the primary identifiable feature, randomly obtaining two parameters from each group of information without the primary identifiable feature, excluding the common parts of all two parameter information combinations of each group of transmission line operation status, retaining the remaining parameter information combination part, and using the remaining parameter information combination as the secondary identifiable feature that is different from other transmission line operation status information;

[0023] If the two parameters of each group of information still cannot be distinguished from the information of other transmission line operating states, then continue to randomly obtain three parameters of each group of information without first-level identifiable features and second-level identifiable features as third-level identifiable features; randomly obtain n parameters in sequence until each standard operating state information has identifiable features, among which the features that are recognized by randomly obtaining n parameters are used as n-level identification features.

[0024] As a preferred embodiment of the method for converting online monitoring data based on the operation status of a transmission line according to the present invention, the identifiable features further include: first-level identifiable features are prioritized as the basis for identification, and then second-level identifiable features to n-level identifiable features are sequentially identified, with the priority of identification decreasing in descending order of the levels;

[0025] The identifiable feature is identified by the online monitoring data of the transmission line operation status, and the identifiable feature A of the corresponding standard operation status information is matched.

[0026] As a preferred solution of the data protocol conversion method for online monitoring based on the operation status of a transmission line according to the present invention, wherein: according to the communication requirement C of the receiving port processing device, the data protocol conversion result B0 is matched through a mapping relationship, and then the corresponding protocol is locked according to the data protocol conversion result B0 matched with the mapping relationship;

[0027] The data protocol conversion result B0 is matched according to the mapping relationship and locked as the target protocol. If the conversion result of the original online monitoring data protocol is different from B0, the protocol set B that can be executed by matching the identifiable feature A of the standard operating status information through the mapping relationship is matched. When there is a protocol with the same conversion result as B0 in the executable protocol set B, the original online monitoring data protocol is converted to the target protocol. If there is no protocol with the same conversion result as B0 in the executable protocol set B, the upload technician adjusts the data protocol conversion requirement.

[0028] If the conversion result of the original online monitoring data protocol is the same as B0, the data processing protocol will not be converted.

[0029] As a preferred scheme of the online monitoring data protocol conversion method based on the operating state of a power transmission line according to the application, if the real-time operating state information of the power transmission line cannot identify the identifiable features obtained from the standard operating state information, the operating state information is re-clustered, the unidentifiable operating state information is included in the historical data, the identifiable features of the standard operating state information are re-screened, and temporary identifiable features are screened.

[0030] Information having the same temporary identifiable features except the unidentifiable operating state information is extracted, and the extracted information is matched with the identifiable features obtained from the standard operating state information, the matched identifiable features are taken as the identifiable features of the real-time operating state information of the power transmission line, and a temporary mapping relationship is established according to the matched identifiable features.

[0031] The data protocol conversion is performed according to the temporary mapping relationship, and if the conversion result is abnormal, an abnormal alarm is issued for the real-time operating state information of the power transmission line.

[0032] An online monitoring data protocol conversion system based on the operating state of a power transmission line using the method according to the application, characterized in that:

[0033] An information acquisition unit acquires the operating state information of the power transmission line and the demand of the receiving port processing device communication;

[0034] A mapping analysis unit establishes a mapping relationship between the operating state information and the data protocol, and between the data protocol and the demand of the receiving port processing device communication; according to the mapping relationship, a conversion instruction is issued for the online monitoring data protocol, if there is no identifiable feature that can identify the operating state information, the operating state information is clustered, a temporary mapping relationship is re-established, and a conversion instruction is issued for the online monitoring data protocol according to the temporary mapping relationship; if the corresponding data protocol cannot be matched after the temporary mapping relationship is re-established, an abnormal early warning is generated;

[0035] An execution unit converts the data protocol according to the conversion instruction of the mapping analysis unit.

[0036] A computer device, comprising a memory and a processor; the memory stores a computer program, characterized in that: the processor executes the computer program to realize the steps of the method according to any one of the application.

[0037] A computer readable storage medium, which stores a computer program, characterized in that: the computer program is executed by a processor to realize the steps of the method according to any one of the application.

[0038] The beneficial effects of the present invention are as follows: The data protocol conversion method for online monitoring of transmission line operating status provided by the present invention can convert large amounts of complex operating status information into a simpler form through data protocol conversion, significantly reducing the complexity and computational effort of data processing and improving data processing efficiency. It can more accurately reflect the actual conditions of the transmission line, thereby improving the accuracy of data analysis. It has excellent flexibility and adaptability, adapting to various operating conditions and environments. It can more efficiently process monitoring data, providing a high-quality data foundation for circuit monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0040] Figure 1 This is an overall flow chart of a protocol conversion method for online monitoring data based on the operation status of a transmission line provided by the first embodiment of the present invention. DETAILED DESCRIPTION

[0041] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0042] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0043] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0044] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0045] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0046] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0047] Example 1

[0048] Reference Figure 1 , as one embodiment of the present invention, provides a protocol conversion method for online monitoring data based on the operating status of a transmission line, comprising:

[0049] S1: Obtain the operating status information of the transmission line and the communication needs of the receiving port processing equipment.

[0050] Furthermore, operational status information includes electrical and environmental parameter information collected by sensors during transmission line operation. Edge computing is used to intelligently analyze the parameter information collected by sensors. We need to collect operational status data on transmission lines. This data may include parameters such as voltage, current, frequency, temperature, and humidity. This data can be obtained online through various sensors and monitoring equipment.

[0051] Edge computing, on the other hand, uses edge computing technology as a vehicle to effectively integrate various monitoring data. The architecture built using intelligent multi-node collaborative edge computing technology requires consideration of key factors, including the implementation of data management functions by terminal nodes, specifically data acquisition, processing, and storage; support for diverse transmission networks and protocols during data transmission at the transport layer, including mechanisms to consider security during transmission; and the implementation of open capabilities for various services at the application layer.

[0052] S2: Establish a mapping relationship between the operation status information and the data protocol, and between the data protocol and the communication requirements of the receiving port processing device.

[0053] Furthermore, a correspondence between the protocol and the standard operation status information is preset, and the preset correspondence is topologically converted into a mapping relationship model as a front-end mapping model;

[0054] A→B

[0055] Where A represents the identifiable features of the standard operating status information, and B represents the set of protocols corresponding to the operating status information;

[0056] The topology of the matching relationship between the communication requirements of the receiving port processing device and the data protocol conversion result is a mapping relationship model as a backend mapping model;

[0057] B0→C

[0058] Among them, B0 represents the result of data protocol conversion, C represents the set of communication requirements of the receiving port processing device; the standard operating status information includes filtering the parameter information of the transmission line during stable operation to remove outliers and noise, extracting identifiable features from the filtered signal, and using the identifiable features as standard operating status information that can be used for online monitoring of the operating status of the transmission line.

[0059] It's important to note that each state of information requiring conversion has its own characteristics. Based on these characteristics, we can pre-set applicable protocols. This set of protocols, B, is found through mapping. Each protocol processes data into a unified conversion result format, which is then mapped to match the required result.

[0060] Furthermore, the identifiable features include normalizing the history of the transmission line operating status information to obtain the average value of each group of transmission line operating status parameter information, excluding the same parts of all parameter information of each group of transmission line operating status, retaining the remaining parameter parts, and using the remaining parameters as the first-level identifiable features that distinguish it from other transmission line operating status information.

[0061] If there is no primary identifiable feature that is different from other transmission line operation status information after excluding the identical parts of all parameter information of each transmission line operation status, secondary feature extraction is performed on each group of information without primary identifiable features, and two parameters are randomly obtained from each group of information without primary identifiable features. The identical parts of all two parameter information combinations of each group of transmission line operation status are excluded, and the remaining parameter information combination parts are retained, and the remaining parameter information combination is used as the secondary identifiable feature that is different from other transmission line operation status information.

[0062] If the two parameters of each group of information still cannot be distinguished from the information of other transmission line operating states, then continue to randomly obtain three parameters of each group of information without first-level identifiable features and second-level identifiable features as third-level identifiable features; randomly obtain n parameters in sequence until each standard operating state information has identifiable features, among which the features that are recognized by randomly obtaining n parameters are used as n-level identification features.

[0063] It's important to note that some features are very easy to distinguish, so we consider the most distinguishable, that is, the feature with the least amount of recognition, as the first-level identifiable feature. We then consider the combination of the two parameters as the second-level identifiable feature, and so on, up to the nth level of identifiable features. We prioritize identifying the first-level identifiable features and then identify the remaining features in sequence to ensure accurate recognition. After identifying the first-level identifiable features, we exclude information with the first-level identifiable features and perform the second-level identifiable feature identification on the remaining information. This ensures that the first-level identifiable features are not included when identifying the second-level identifiable features, and so on.

[0064] It's important to note that by normalizing historical data, we can find the stable value, or average, of each parameter. Using the average value to identify parameters ensures that the identification results are as realistic as possible. Because we can't apply pre-defined protocols to all information, we pre-defined protocols for a specific category of similar information (with the same identifiable characteristics). This ensures that the pre-defined protocol is applied when triggered by the same type of information.

[0065] The identifiable features also include: first-level identifiable features are prioritized as the basis for identification, and then second-level identifiable features to n-level identifiable features are identified in sequence, and the priority of identification decreases in sequence as the level increases; the identifiable features are identified by online monitoring data of the transmission line operation status, and the identifiable features A of the corresponding standard operation status information are matched.

[0066] Because the same type of running data all have the same identifiable feature A, we match identifiable feature A by identifying the identifiable feature; because we are performing a mapping preset for identifiable feature A, we cannot use the original data, and should use the data of the matched identifiable feature A.

[0067] S3: The online monitoring data specification is converted according to the mapping relationship. If there is no identifiable feature that can identify the operating status information, the operating status information is clustered, a temporary mapping relationship is re-established, and the online monitoring data specification is converted according to the temporary mapping relationship; if the corresponding data specification cannot be matched after the temporary mapping relationship is re-established, an abnormal warning is generated.

[0068] According to the communication requirement C of the receiving port processing device, the data protocol conversion result B0 is matched through the mapping relationship, and then the corresponding protocol is locked according to the mapping relationship matching the data protocol conversion result B0; (the corresponding protocol is locked as the target protocol according to the mapping relationship matching the data protocol conversion result B0) if the conversion result of the original online monitoring data protocol is different from B0, the protocol set B that can be executed by matching the identifiable feature A of the standard operating status information through the mapping relationship is matched. When there is a protocol with the same conversion result as B0 in the executable protocol set B, the original online monitoring data protocol is converted to the target protocol; if there is no protocol with the same conversion result as B0 in the executable protocol set B, the uploading technician adjusts the data protocol conversion requirement; if the conversion result of the original online monitoring data protocol is the same as B0, the data processing protocol is not converted.

[0069] The key is to identify the desired conversion result format based on the requirements, identify the required protocol based on this result format, and then adjust the data protocol conversion accordingly. During this process, we need to find a protocol in protocol set B that can be used for the original information with identifiable characteristics. Because this protocol is pre-set, we can only perform conversions based on the pre-set protocol and cannot exceed the specified limits. If we cannot find a matching protocol conversion, technical personnel will need to promptly adjust the pre-set protocol conversion rules. If the protocol processing result meets the requirements, the conversion will not be performed.

[0070] It should also be noted that if the acquired real-time transmission line operating status information cannot identify the identifiable features obtained through the standard operating status information, the operating status information is re-clustered, the unidentifiable operating status information is included in the historical data, and the identifiable features of the standard operating status information are re-screened to obtain temporary identifiable features. Information with the same temporary identifiable features as the unidentifiable operating status information is extracted, and the extracted information is matched with the identifiable features obtained based on the standard operating status information. The matched identifiable features are used as the identifiable features of the real-time transmission line operating status information, and a temporary mapping relationship is established based on the matched identifiable features. The data protocol is converted based on the temporary mapping relationship. If the conversion result is abnormal, an abnormality alarm is issued for the real-time transmission line operating status information.

[0071] It's important to note that if the real-time information we acquire lacks identifiable features, we need to identify this real-time information as best we can. This information can be incorporated into historical data and re-screened for identifiable features to obtain temporary identifiable features. This refines our identification capabilities. In other words, while identifying only one feature might yield information of the same type, we might now need to identify two parameters. This narrows the scope of our identification, resulting in more precise identification. In this case, historical data within the same category as the real-time monitoring data will undoubtedly share the same pre-defined identifiable features. This identifiable feature can be extracted and used as the identifiable feature for the transmission line's operating status information. Because the identification scope has been narrowed, all historical data, except for the real-time information, possesses true identifiable features. This creates a temporary mapping relationship based on the original mapping relationship, converting this unidentifiable information to the corresponding data specification through mapping matching. If the conversion result is abnormal, indicating that this information is unlikely to occur in normal operation, a warning should be issued and the transmission line's operating status should be promptly checked.

[0072] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the method can be included. Any reference to a memory, a database or other medium used in the embodiments provided in the present application can include at least one of a non-volatile and a volatile memory. The non-volatile memory can include a read-only memory, a magnetic tape, a floppy disk, a flash memory, an optical storage, a high-density embedded non-volatile memory, a resistive random memory, a magnetic variable memory, a ferroelectric memory, a phase change memory, a graphene memory and the like. The volatile memory can include a random access memory or an external cache memory and the like. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory or dynamic random access memory and the like. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, and is not limited thereto.

[0073] The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing and the like, and is not limited thereto.

[0074] Embodiment 2

[0075] The following is an embodiment of the present application, which provides an online monitoring data protocol conversion method based on the operating state of a power transmission line. In order to verify the beneficial effects of the present application, economic benefit calculation and simulation experiments are carried out for scientific demonstration.

[0076] Table 1 is a comparison chart of the effects of the present application and the traditional manual switching and fixed protocol mode. Through 100 times of simulation experiments under 3 scenarios, the reaction time and data processing effects are recorded.

[0077] Table 1 Test Record Table

[0078]

[0079] It can be seen that the present application is not only significantly better than the traditional manual switching in reaction time, but also significantly better than the traditional manual switching and fixed protocol mode in data processing effect. The data processing effect of the present application has high stability.

[0080] Table 2 is a comparison of the switching accuracy of the present application and manual switching, based on the records of the two time periods tested.

[0081] Table 2 Comparison of Switching Accuracy

[0082]

[0083]

[0084] It can be seen that the present invention is significantly better than manual switching in terms of accuracy of protocol switching. The present invention has high execution capability and strong computing level, and can greatly save labor costs.

[0085] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for converting online monitoring data based on the operating status of a transmission line, characterized in that: include: Obtaining the operating status information of the transmission line and the communication needs of the receiving port processing equipment; Establishing mapping relationships between operation status information and data protocols, and between data protocols and communication requirements of receiving port processing equipment; The online monitoring data specification is converted according to the mapping relationship. If there is no identifiable feature capable of identifying the operating status information, a temporary mapping relationship is re-established by clustering the operating status information and the online monitoring data specification is converted according to the temporary mapping relationship. The method for converting online monitoring data protocol based on the operation status of the transmission line is to match the data protocol conversion result B0 through a mapping relationship according to the communication requirement set C of the receiving port processing device, and then lock the corresponding protocol according to the mapping relationship matching data protocol conversion result B0; The data protocol conversion result B0 is matched according to the mapping relationship and locked as the target protocol. If the conversion result of the original online monitoring data protocol is different from B0, the protocol set B that can be executed by matching the identifiable feature A of the standard operating status information through the mapping relationship is matched. When there is a protocol with the same conversion result as B0 in the executable protocol set B, the original online monitoring data protocol is converted to the target protocol. If there is no protocol with the same conversion result as B0 in the executable protocol set B, the upload technician adjusts the data protocol conversion requirement. If the conversion result of the original online monitoring data protocol is the same as B0, the data processing protocol will not be converted; If the corresponding data specification cannot be matched after the temporary mapping relationship is re-established, an abnormal warning will be generated.

2. The method for converting online monitoring data based on the operating status of a power transmission line according to claim 1, wherein: The operating status information includes electrical parameter information and environmental parameter information of the transmission line during operation obtained by sensors; Edge computing is used to perform intelligent analysis on parameter information collected by sensors.

3. The method for converting online monitoring data based on the operating status of a power transmission line according to claim 2, wherein: The intelligent analysis includes: presetting the corresponding relationship between the protocol and the standard operation status information, and topologically converting the preset corresponding relationship into a mapping relationship model as a front-end mapping model; A→B Where A represents the identifiable features of the standard operating status information, and B represents the set of protocols corresponding to the operating status information; The topology of the matching relationship between the communication requirements of the receiving port processing device and the data protocol conversion result is a mapping relationship model as a backend mapping model; B0→C Among them, B0 represents the result of data protocol conversion, and C represents the set of communication requirements of the receiving port processing device; The standard operating status information includes filtering parameter information of the transmission line during stable operation to remove abnormal values ​​and noise, extracting identifiable features from the filtered signal, and using the identifiable features as standard operating status information that can be used for online monitoring of the operating status of the transmission line.

4. The method for converting online monitoring data based on the operation status of a power transmission line according to claim 3, wherein: The identifiable features include normalizing the history of the transmission line operating status information to obtain an average value of each group of transmission line operating status parameter information, excluding the common parts of all parameter information of each group of transmission line operating status, retaining the remaining parameters, and using the remaining parameters as the primary identifiable features that distinguish the transmission line operating status information from other transmission line operating status information; If there is no primary identifiable feature that is different from other transmission line operation status information after excluding the common parts of all parameter information of each transmission line operation status, then secondary feature extraction is performed on each group of information without the primary identifiable feature, randomly obtaining two parameters from each group of information without the primary identifiable feature, excluding the common parts of all two parameter information combinations of each group of transmission line operation status, retaining the remaining parameter information combination part, and using the remaining parameter information combination as the secondary identifiable feature that is different from other transmission line operation status information; If the two parameters of each group of information still cannot be distinguished from the information of other transmission line operating states, then continue to randomly obtain three parameters of each group of information without first-level identifiable features and second-level identifiable features as third-level identifiable features; randomly obtain n parameters in sequence until each standard operating state information has identifiable features, among which the features that are recognized by randomly obtaining n parameters are used as n-level identification features.

5. The method for converting online monitoring data based on the operation status of a power transmission line according to claim 4, characterized in that: The identifiable features further include: first-level identifiable features are prioritized as the basis for identification, and then second-level identifiable features to n-level identifiable features are identified in sequence, with the priority of identification decreasing in descending order of levels; The identifiable feature is identified by the online monitoring data of the transmission line operation status, and the identifiable feature A of the corresponding standard operation status information is matched.

6. The method for converting online monitoring data based on the operation status of a power transmission line according to claim 5, characterized in that: If the real-time transmission line operation status information cannot identify the identifiable features obtained through the standard operation status information, the operation status information is re-clustered, the unidentifiable operation status information is included in the historical data, and the identifiable features of the standard operation status information are re-screened to obtain temporary identifiable features; Extracting information having the same temporary identifiable features except for the unidentifiable operating status information, matching the extracted information with the identifiable features obtained according to the standard operating status information, using the matched identifiable features as identifiable features of the real-time transmission line operating status information, and establishing a temporary mapping relationship according to the matched identifiable features; The data protocol is converted according to the temporary mapping relationship. If the conversion result is abnormal, an abnormal alarm is issued for the real-time transmission line operation status information.

7. A data protocol conversion system for online monitoring of transmission line operation status using the method according to any one of claims 1 to 6, characterized in that: Information collection unit, which obtains the operating status information of the transmission line and receives the communication requirements of the port processing equipment; A mapping analysis unit establishes a mapping relationship between the operating status information and the data protocol, and between the data protocol and the communication requirements of the receiving port processing device; issues a conversion instruction to the online monitoring data protocol based on the mapping relationship; if there is no identifiable feature that can identify the operating status information, re-establishes a temporary mapping relationship by clustering the operating status information, and issues a conversion instruction to the online monitoring data protocol based on the temporary mapping relationship; if the corresponding data protocol cannot be matched after the temporary mapping relationship is re-established, an abnormality warning is generated; The execution unit converts the data specification according to the conversion instruction of the mapping analysis unit.

8. A computer device comprising: memory and processor; The memory stores a computer program, and is characterized in that the processor implements the steps of any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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