District line loss abnormity diagnosis method and system

Abstract

The invention relates to the technical field of power system monitoring, and provides a transformer area line loss abnormity diagnosis method and system, and the method comprises the steps: generating a temporary metering identifier and a topology identifier after receiving a diagnosis request; real-time metering data and topological structure information are acquired based on the identifier and are sent to a line loss analysis server and a transformer area monitoring terminal through a data acquisition server; generating a line loss diagnosis identifier, a reference parameter and a monitoring identifier when the two confirms to receive and generate a line loss abnormal feature; generating temporary diagnosis parameters based on the parameters, and sending the encrypted line loss abnormal characteristics to a monitoring terminal; and the terminal performs line loss diagnosis processing after decryption. According to the method, the safety and the real-time performance of transformer area line loss abnormity diagnosis can be improved, the data interaction process is optimized, and the diagnosis efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system monitoring, and more particularly, to a method and system for diagnosing abnormal line loss in a transformer substation. Background Art

[0002] In power system operation and management, monitoring and diagnosing substation line loss is a critical step in ensuring power supply efficiency and quality. Substation line loss refers to the energy loss within the distribution area from the substation to the user terminal during power transmission. Accurately diagnosing abnormal substation line loss is crucial for reducing grid losses, improving power supply reliability, and improving economic efficiency. Currently, substation line loss monitoring primarily relies on data collected by metering equipment, which is analyzed to determine whether line loss is abnormal. Traditional line loss monitoring methods typically rely on regular inspections and manual data analysis. This method is inefficient and makes it difficult to accurately detect abnormal line loss in real time.

[0003] While automated data collection systems have been introduced with the development of smart grid technology, numerous issues remain in data transmission, processing, and analysis. For example, real-time data cannot be guaranteed, and the matching of topology information with metering data is not precise enough, resulting in inaccurate line loss diagnosis. Furthermore, existing systems have vulnerabilities in data security and privacy protection, leaving them vulnerable to external attacks and data leaks.

[0004] In the process of implementing the embodiments of the present invention, the inventors discovered that there are at least the following problems or defects in the existing technology: the existing technology cannot effectively combine real-time metering data and topology information to accurately diagnose line loss anomalies; the lack of an effective encryption mechanism in the data transmission and processing process results in insufficient protection of data security and privacy; the existing system has deficiencies in the real-time and accuracy of anomaly diagnosis, making it difficult to meet the high requirements of modern smart grids for line loss management. Summary of the Invention

[0005] The present invention provides a method and system for diagnosing abnormal line loss in a transformer area.

[0006] In a first aspect of the present invention, a method for diagnosing abnormal line loss in a transformer area is provided, comprising: In response to receiving a line loss abnormality diagnosis request message for a substation metering device, generating a temporary metering identifier and a topology identifier corresponding to the substation metering device; According to the temporary metering identifier and the topology identifier, obtaining the real-time metering data and topology structure information corresponding to the metering equipment in the substation area; The real-time metering data and topology information are sent to the line loss analysis server and the substation monitoring terminal respectively through the data acquisition server; In response to determining that the line loss analysis server and the substation monitoring terminal have respectively received the topology information and the real-time metering data, and determining that a line loss abnormality feature is generated on the line loss analysis server, a line loss diagnosis identifier, a reference parameter, and a monitoring identifier corresponding to the substation monitoring terminal are generated, wherein the line loss diagnosis identifier corresponds to a line loss abnormality diagnosis session for the substation; Generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter and the monitoring identifier; Sending encrypted information corresponding to the abnormal line loss feature to the substation monitoring terminal, wherein the encrypted information is generated based on the temporary diagnostic parameters; In response to determining that the substation monitoring terminal has acquired the decrypted line loss abnormality feature, a line loss abnormality diagnosis process for the substation is performed according to the line loss abnormality feature.

[0007] Furthermore, the method further comprises: Generate equipment identification corresponding to the metering equipment in the substation; In response to determining that an abnormal feedback parameter is generated at the substation monitoring terminal, generating a temporary feedback parameter corresponding to the substation metering device according to the line loss diagnosis identifier, the reference parameter and the device identifier; Sending encrypted information corresponding to the abnormal feedback parameter to the line loss analysis server, wherein the encrypted information is generated based on the temporary feedback parameter; In response to determining that the line loss analysis server has acquired the decrypted abnormal feedback parameters, a line loss abnormality diagnosis process for the substation is performed according to the abnormal feedback parameters.

[0008] Furthermore, the generating of the temporary metering identifier and topology identifier corresponding to the substation metering device includes: Obtaining the original metering identifier and topology identifier corresponding to the metering equipment in the substation area; Based on the original metering identifier and topology identifier, a communication connection is established between the substation metering device and the data acquisition server, and a data connection is established between the substation monitoring terminal and the analysis server to obtain a temporary metering identifier and a topology identifier respectively.

[0009] Furthermore, the acquiring of real-time metering data and topology information corresponding to the substation metering equipment according to the temporary metering identifier and the topology identifier includes: According to the temporary metering identifier and the topology identifier, obtaining the public metering data and topology structure information corresponding to the substation metering equipment from the target data acquisition server; Combining the temporary metering identifier with the public metering data to obtain real-time metering data; The topology identifier and the topology structure information are combined to obtain the topology structure information.

[0010] Furthermore, generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter, and the monitoring identifier includes: combining the monitoring identifier with the line loss diagnosis identifier to generate a monitoring diagnosis identifier; According to the reference parameters and the monitoring diagnosis identifier, temporary diagnostic parameters corresponding to the substation monitoring terminal are generated.

[0011] Furthermore, generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the reference parameters and the monitoring diagnostic identifier includes: Combining the reference parameter and the monitoring diagnosis identifier to obtain diagnosis combination information; The diagnosis parameter generation center is used to process the diagnosis combination information to obtain temporary diagnosis parameters.

[0012] Furthermore, the encrypted information is generated by the following steps: Decomposing the line loss abnormality feature to obtain a front-end feature and a back-end feature, wherein the dimension of the front-end feature is equal to the dimension of the back-end feature; generating a first characteristic factor and a second characteristic factor; Performing feature processing on the front-end feature using the first feature factor to obtain first feature information; Performing feature processing on the latter feature using the second feature factor to obtain second feature information; Concatenate the first characteristic factor and the second characteristic information to obtain first characteristic encrypted information; Concatenate the second characteristic factor and the first characteristic information to obtain second characteristic encrypted information; Obtaining the diagnosis public key in the temporary diagnosis parameters; Using the diagnosis public key to perform encryption operations on the first characteristic encryption information and the second characteristic encryption information respectively, to obtain first encryption information and second encryption information; The first encrypted information and the second encrypted information are determined as the encrypted information.

[0013] In a second aspect of the present invention, a system for diagnosing abnormal line loss in a transformer area is provided, comprising: The first generating unit is configured to generate a temporary metering identifier and a topology identifier corresponding to the substation metering device in response to receiving a line loss abnormality diagnosis request information for the substation metering device; An acquiring unit configured to acquire real-time metering data and topology structure information corresponding to the substation metering device according to the temporary metering identifier and the topology identifier; The first sending unit is configured to send the real-time metering data and topology information to the line loss analysis server and the substation monitoring terminal respectively through the data acquisition server; The second generating unit is configured to generate a line loss diagnosis identifier, a reference parameter, and a monitoring identifier corresponding to the substation monitoring terminal in response to determining that the line loss analysis server and the substation monitoring terminal have respectively received the topology information and the real-time metering data, and determining that a line loss abnormality feature is generated on the line loss analysis server; A third generating unit is configured to generate temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter and the monitoring identifier; A second sending unit is configured to send encrypted information corresponding to the line loss abnormality feature to the substation monitoring terminal, wherein the encrypted information is generated based on the temporary diagnostic parameter; The execution unit is configured to, in response to determining that the substation monitoring terminal has acquired the decrypted line loss abnormality feature, execute line loss abnormality diagnosis processing for the substation according to the line loss abnormality feature.

[0014] In a third aspect of the present invention, an electronic device is provided, comprising: at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute any one of the methods described in the first aspect.

[0015] In a fourth aspect of the present invention, a computer-readable storage medium is provided, comprising instructions, which, when executed on a computer, enable the computer to execute the method according to any one of the first aspects.

[0016] The above-described embodiments of the present invention have at least the following beneficial effects: The present invention improves the security and reliability of line loss anomaly diagnosis in substations. By dynamically generating temporary metering and topology identifiers, it ensures uniqueness and traceability during data transmission. Furthermore, by incorporating an encrypted communication mechanism, it prevents data tampering or leakage during transmission. Furthermore, by employing multi-terminal collaborative processing, it optimizes the efficiency of data exchange between the line loss analysis server and substation monitoring terminals, reduces manual intervention, and improves the automation level of diagnosis. This invention enhances the real-time and accuracy of line loss anomaly diagnosis. By dynamically matching real-time metering data with topology information, it rapidly identifies anomaly characteristics. Combined with temporary diagnostic parameters and encryption mechanisms, it ensures the integrity and credibility of analysis results. This method can adapt to line loss monitoring needs in complex power grid environments, providing efficient and reliable technical support for intelligent operation and maintenance management of distribution networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily apparent by reading the following detailed description with reference to the accompanying drawings, in which several embodiments of the present invention are shown by way of example and not limitation, in which: Figure 1 A schematic flow chart of a method for diagnosing abnormal line loss in a transformer area according to an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a system for diagnosing abnormal line loss in a transformer area according to an embodiment of the present invention; Figure 3 The figure schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided solely to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. Rather, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0019] Those skilled in the art will appreciate that the embodiments of the present invention may be implemented as a system, apparatus, device, method, or computer program product. Therefore, the present invention may be implemented in the following forms: entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software.

[0020] It should be noted that any number of elements in the drawings is for illustration only and not for limitation, and any naming is only for distinction and does not have any limiting meaning.

[0021] Reference below Figure 1 , Figure 1 This is a flow chart of a method for diagnosing abnormal line loss in a transformer area provided by an embodiment of the present invention. Figure 1 As shown, a method for diagnosing abnormal line loss in a transformer area includes: S1 generates a temporary metering identifier and a topology identifier corresponding to the substation metering device in response to receiving a line loss abnormality diagnosis request message for the substation metering device; S2, according to the temporary metering identifier and the topology identifier, obtaining the real-time metering data and topology structure information corresponding to the metering equipment in the substation area; S3 sends the real-time metering data and topology information to the line loss analysis server and the substation monitoring terminal respectively through the data acquisition server; S4: In response to determining that the line loss analysis server and the substation monitoring terminal have respectively received the topology information and the real-time metering data, and determining that a line loss abnormality feature is generated on the line loss analysis server, a line loss diagnosis identifier, a reference parameter, and a monitoring identifier corresponding to the substation monitoring terminal are generated, wherein the line loss diagnosis identifier corresponds to a line loss abnormality diagnosis session for the substation; S5: generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter and the monitoring identifier; S6: sending the encrypted information corresponding to the abnormal line loss feature to the substation monitoring terminal, wherein the encrypted information is generated based on the temporary diagnostic parameter; In response to determining that the substation monitoring terminal has acquired the decrypted line loss abnormality feature, S7 performs line loss abnormality diagnosis processing for the substation according to the line loss abnormality feature.

[0022] It should be noted that when a line loss anomaly diagnosis request information is received for a substation metering device, the system will generate a temporary metering identifier and topology identifier corresponding to the substation metering device. The substation metering device here refers to the equipment used to measure electricity consumption in the power system, usually installed in the distribution station area to record the user's electricity consumption. The temporary metering identifier and topology identifier are temporary identifiers generated to uniquely identify the device and its location in the power grid during the diagnosis process. By generating these identifiers, the accuracy of subsequent data collection and analysis can be ensured, providing basic support for line loss anomaly diagnosis. This process is the starting point of the entire diagnostic method, ensuring that subsequent operations can be performed accurately on specific equipment.

[0023] Specifically, the line loss anomaly diagnosis request information refers to the signal or data packet triggered by the user or system to start the line loss anomaly diagnosis process. It usually contains the basic information of the metering equipment in the substation that needs to be diagnosed, such as the equipment number, the area where it is located, etc. The temporary metering identifier is generated based on the original information of the equipment. It is a temporary code used to uniquely identify the equipment during the diagnosis process. It may be a digital sequence or a specific coding format. The topology identifier is used to describe the location information of the equipment in the power grid topology to help the system understand the connection relationship between devices. The process of generating these identifiers may involve parsing and encoding the original information of the equipment to ensure that each device has a unique identifier in the diagnostic session, thereby providing an accurate reference for subsequent data collection and analysis.

[0024] Preferably, specific encoding rules can be employed when generating temporary metering identifiers and topology identifiers. For example, temporary metering identifiers can be encoded based on information such as the device model, installation location, and current timestamp to ensure uniqueness. Topology identifiers can be generated based on information such as the device's hierarchical relationship and connection sequence within the power grid. For example, this can be constructed by recording information about the device's upstream power node and downstream load node. Furthermore, after these identifiers are generated, the system can further verify their uniqueness and validity to prevent confusion or errors during subsequent line loss anomaly diagnosis.

[0025] In some embodiments, the method further comprises: Generate equipment identification corresponding to the metering equipment in the substation; In response to determining that an abnormal feedback parameter is generated at the substation monitoring terminal, generating a temporary feedback parameter corresponding to the substation metering device according to the line loss diagnosis identifier, the reference parameter and the device identifier; Sending encrypted information corresponding to the abnormal feedback parameter to the line loss analysis server, wherein the encrypted information is generated based on the temporary feedback parameter; In response to determining that the line loss analysis server has acquired the decrypted abnormal feedback parameters, a line loss abnormality diagnosis process for the substation is performed according to the abnormal feedback parameters.

[0026] It should be noted that the abnormal feedback mechanism has been further improved in the substation line loss abnormality diagnosis method. Specifically, the system will generate a device identifier corresponding to the substation metering equipment to uniquely identify the equipment. When the substation monitoring terminal detects an abnormal situation and generates abnormal feedback parameters, the system will generate temporary feedback parameters based on the line loss diagnosis identifier, benchmark parameters and device identifier, and send the encrypted information corresponding to the abnormal feedback parameters to the line loss analysis server. After decryption, the line loss analysis server will further perform the line loss abnormality diagnosis processing of the substation based on the abnormal feedback parameters. This process enhances the system's feedback mechanism, making line loss abnormality diagnosis more accurate and timely.

[0027] Specifically, the device identifier is a code or number used to uniquely identify the metering equipment in the substation. It may contain key information such as the manufacturer information, model, and installation location of the equipment. Abnormal feedback parameters refer to parameters that are inconsistent with the normal operating status discovered by the substation monitoring terminal during the monitoring process, such as voltage anomalies, current fluctuations, power factor anomalies, etc. The line loss diagnostic identifier is a unique identifier used to identify the current line loss abnormality diagnostic session, and the benchmark parameters are reference parameters used to evaluate line loss abnormalities, such as the normal line loss range, equipment rated parameters, etc. Temporary feedback parameters are generated based on this information and are used to protect data security during encrypted transmission. The generation and transmission of encrypted information are achieved through a specific encryption algorithm to ensure the security and integrity of data during transmission.

[0028] Preferably, the process of generating the device identification can be combined with the physical properties and installation location information of the device, such as using a combination of the device serial number and the installation location code. The generation of abnormal feedback parameters can be achieved through the built-in sensors and monitoring algorithms of the monitoring terminal. For example, when it is detected that the voltage exceeds a certain proportion of the rated value, a voltage abnormality feedback parameter is generated. When generating temporary feedback parameters, the line loss diagnostic identification, the reference parameters and the device identification can be hashed or processed with other encryption algorithms to generate unique temporary feedback parameters. In the process of generating encrypted information, symmetric encryption or asymmetric encryption algorithms can be used, such as using the AES algorithm to encrypt the abnormal feedback parameters to ensure that only the line loss analysis server can decrypt and obtain the real data, thereby improving the security and reliability of the system.

[0029] In some embodiments, generating a temporary metering identifier and a topology identifier corresponding to the substation metering device includes: Obtaining the original metering identifier and topology identifier corresponding to the metering equipment in the substation area; Based on the original metering identifier and topology identifier, a communication connection is established between the substation metering device and the data acquisition server, and a data connection is established between the substation monitoring terminal and the analysis server to obtain a temporary metering identifier and a topology identifier respectively.

[0030] It should be noted that generating temporary metering identifiers and topology identifiers corresponding to the substation metering equipment is an important step in the substation line loss anomaly diagnosis method. This process first requires obtaining the original metering identifiers and topology identifiers corresponding to the substation metering equipment, and then establishing communication connections and data connections based on these original identifiers to obtain temporary metering identifiers and topology identifiers. The original metering identifier here refers to the unique identifier pre-set when the equipment leaves the factory or is installed, which is used to distinguish different metering devices; and the topology identifier is used to describe the location information of the equipment in the power grid topology, such as the line branch and connection node where the equipment is located. By establishing communication connections and data connections, it can be ensured that real-time metering data and topology information can be accurately transmitted to relevant servers and terminals, providing basic data support for subsequent line loss anomaly diagnosis.

[0031] Specifically, the original metering identifier is usually a unique number assigned to the metering device by the equipment manufacturer during the production process. It may contain information such as the model, production batch, and serial number of the equipment. The topology identifier is an identifier generated based on the location and connection relationship of the equipment in the power grid. For example, it is constructed by recording the connection sequence between the equipment and the upper power node and the lower load node. Establishing a communication connection refers to the network connection between the substation metering equipment and the data acquisition server, which is used to transmit the metering data of the equipment; and the data connection refers to the connection between the substation monitoring terminal and the analysis server, which is used to transmit topology information and diagnostic data. These connections can be achieved through wired or wireless communication technologies, such as Ethernet, 4G / 5G networks, etc. In the process of obtaining temporary metering identifiers and topology identifiers, the system will parse and convert them according to the original identifier to generate a temporary identifier suitable for the current diagnostic session to ensure the accuracy and uniqueness of the data.

[0032] Preferably, the following specific steps can be used to obtain the temporary meter identifier and topology identifier: First, the original meter identifier is obtained by reading the device's barcode or QR code. Simultaneously, the topological location information of the device is obtained using the power grid's Geographic Information System (GIS) to generate the topology identifier. The system then performs encoding conversion on the original meter identifier and topology identifier according to pre-set rules. For example, the original identifier is combined with information such as the current timestamp and diagnostic session number to generate the temporary meter identifier and topology identifier. When establishing a communication connection, a secure communication protocol such as TLS / SSL can be used to ensure data transmission security. When establishing a data connection, the frequency and format of data transmission can be configured, for example, transmitting real-time meter data every 15 minutes, and encapsulating the data in JSON or XML format. These detailed steps can improve the efficiency and accuracy of temporary identifier generation while ensuring the stability and security of data transmission.

[0033] In some embodiments, obtaining the real-time metering data and topology information corresponding to the substation metering device according to the temporary metering identifier and the topology identifier includes: According to the temporary metering identifier and the topology identifier, obtaining the public metering data and topology structure information corresponding to the substation metering equipment from the target data acquisition server; Combining the temporary metering identifier with the public metering data to obtain real-time metering data; The topology identifier and the topology structure information are combined to obtain the topology structure information.

[0034] It should be noted that the acquisition of real-time metering data and topological structure information corresponding to the substation metering equipment based on the temporary metering identifier and topological identifier mentioned in the present invention is a key link in the entire line loss abnormality diagnosis process. This process not only involves the collection of data, but also includes the integration and optimization of data to ensure the accuracy of subsequent analysis. Specifically, the temporary metering identifier and topological identifier are used to extract the public metering data and topological structure information related to the substation metering equipment from the target data acquisition server, and then generate complete real-time metering data and topological structure information through a specific combination method. The target data acquisition server here refers to the server that stores and manages the substation metering equipment data, and the public metering data refers to the basic data shared by all metering devices and can be used for analysis, such as voltage, current, power and other parameters.

[0035] Specifically, the temporary metering identifier is a temporary code used to uniquely identify the substation metering device during the data collection process. It may contain information such as the device number, type, and unique identifier of the current diagnostic session. The topology identifier is used to describe the location of the device in the power grid topology, such as the branch line number and connection node number where the device is located. Public metering data refers to the basic data related to the substation metering device obtained from the data collection server. These data are usually stored in the form of time series, reflecting the operating status of the equipment at different time points. The topology information describes the connection relationship between devices and the layout of the power grid. When obtaining real-time metering data, the system will combine the temporary metering identifier with the public metering data, for example, by attaching the identifier to the data record to ensure the traceability and uniqueness of the data. Similarly, when obtaining topology information, the system will combine the topology identifier with the topology information to clarify the location and connection relationship of the device in the power grid.

[0036] Preferably, to improve the efficiency and accuracy of data acquisition, the following detailed steps can be employed during the acquisition of real-time metering data and topology information: First, public metering data related to the device is retrieved from the target data acquisition server based on the temporary metering identifier. This data may include parameters such as the device's voltage, current, and power factor. The system can then filter and organize this data based on a preset time window (e.g., the last hour or 24 hours) to generate real-time metering data. For topology information, the system can extract the device's connection relationships and location information from the power grid topology database based on the topology identifier and associate this information with the topology identifier to generate complete topology information. Furthermore, to ensure data integrity and consistency, the system can employ a verification mechanism during data transmission, such as by calculating a hash value to verify data integrity. These detailed steps can effectively improve the accuracy and reliability of data acquisition, providing high-quality data support for subsequent line loss anomaly diagnosis.

[0037] In some embodiments, generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter, and the monitoring identifier includes: combining the monitoring identifier with the line loss diagnosis identifier to generate a monitoring diagnosis identifier; According to the reference parameters and the monitoring diagnosis identifier, temporary diagnostic parameters corresponding to the substation monitoring terminal are generated.

[0038] It should be noted that the generation of temporary diagnostic parameters corresponding to the substation monitoring terminal based on the line loss diagnostic identifier, benchmark parameters and monitoring identifier mentioned in the present invention is an important step in the line loss abnormality diagnosis process. This process ensures that the monitoring terminal can generate parameters for diagnosis based on specific diagnostic sessions and benchmark conditions. The line loss diagnostic identifier is a unique identifier used to identify the current line loss abnormality diagnostic session, the benchmark parameters are reference parameters used to evaluate line loss abnormalities, such as the normal line loss range, equipment rated parameters, etc., and the monitoring identifier is a unique identifier used to identify the substation monitoring terminal. By combining these identifiers and parameters, temporary diagnostic parameters can be generated, thereby providing a targeted diagnostic basis for the monitoring terminal.

[0039] Specifically, the line loss diagnostic identifier is a unique identifier generated by the system when a line loss abnormality diagnostic session is started, which is used to distinguish different diagnostic sessions. The baseline parameters are parameters generated by the system based on historical data and preset standards, which are used to evaluate whether the line loss is abnormal. The monitoring identifier is a unique identifier used to identify the substation monitoring terminal, which usually contains information such as the terminal's device number and installation location. Temporary diagnostic parameters are generated based on these identifiers and parameters, and are used to guide the diagnostic operations of the monitoring terminal in the current diagnostic session. The process of generating temporary diagnostic parameters includes combining the monitoring identifier with the line loss diagnostic identifier to generate a monitoring diagnostic identifier, and then generating temporary diagnostic parameters based on the baseline parameters and the monitoring diagnostic identifier. This process ensures that each monitoring terminal can obtain targeted diagnostic parameters in different diagnostic sessions.

[0040] Preferably, the process of generating temporary diagnostic parameters can be further refined. For example, when combining the monitoring identifier with the line loss diagnostic identifier, specific coding rules can be adopted, such as splicing the monitoring identifier and the line loss diagnostic identifier or generating the monitoring diagnostic identifier through a hash algorithm. When generating temporary diagnostic parameters based on the benchmark parameters and the monitoring diagnostic identifier, the benchmark parameters can be associated with the monitoring diagnostic identifier, for example, by binding the value of the benchmark parameter with the monitoring diagnostic identifier to generate a temporary diagnostic parameter containing the diagnostic session information and the benchmark condition. In addition, in order to improve the accuracy of the diagnosis, the system can consider more factors when generating temporary diagnostic parameters, such as the operating status of the equipment, historical line loss data, etc. Through these refined operating steps, it can be ensured that the temporary diagnostic parameters can more accurately reflect the needs of the current diagnostic session, thereby improving the efficiency and accuracy of line loss abnormality diagnosis.

[0041] In some embodiments, generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the reference parameters and the monitoring diagnostic identifier includes: Combining the reference parameter and the monitoring diagnosis identifier to obtain diagnosis combination information; The diagnosis parameter generation center is used to process the diagnosis combination information to obtain temporary diagnosis parameters.

[0042] It should be noted that the generation of temporary diagnostic parameters corresponding to the substation monitoring terminal based on the reference parameters and the monitoring and diagnostic identifier mentioned in the present invention is a key link in the line loss anomaly diagnosis process. This process combines the reference parameters with the monitoring and diagnostic identifier to generate parameters for guiding the substation monitoring terminal to perform line loss anomaly diagnosis. The reference parameters are standard parameters used to evaluate line loss anomalies, such as the normal line loss range, equipment rated parameters, etc., while the monitoring and diagnostic identifier is a unique identifier generated by combining the monitoring identifier and the line loss diagnostic identifier. By processing this information through the diagnostic parameter generation center, temporary diagnostic parameters can be generated, thereby providing a targeted diagnostic basis for the monitoring terminal.

[0043] Specifically, the baseline parameters are parameters generated by the system based on historical data and preset standards, and are used to evaluate whether the line loss is abnormal. The monitoring diagnostic identifier is a unique identifier generated by combining the monitoring identifier with the line loss diagnostic identifier, and is used to identify the monitoring terminal in the current diagnostic session. The diagnostic parameter generation center is a module specifically used to process and generate diagnostic parameters. It receives the baseline parameters and the monitoring diagnostic identifier as input, and generates temporary diagnostic parameters through specific algorithms or rules. The temporary diagnostic parameters contain all the diagnostic information required by the monitoring terminal in the current diagnostic session, such as the diagnostic range, threshold, diagnostic mode, etc. When generating temporary diagnostic parameters, the system will combine the baseline parameters with the monitoring diagnostic identifier to obtain the diagnostic combination information, and then process this information through the diagnostic parameter generation center to finally generate temporary diagnostic parameters.

[0044] Preferably, the process of generating temporary diagnostic parameters can be further refined. For example, when combining the baseline parameters and the monitoring diagnostic identifier, specific coding rules or algorithms can be used, such as splicing the value of the baseline parameter with the monitoring diagnostic identifier or generating diagnostic combination information through a hash algorithm. The diagnostic parameter generation center can use preset models or rules to process the diagnostic combination information, such as dynamically adjusting the baseline parameters according to factors such as equipment type, historical line loss data, and current operating status to generate more accurate temporary diagnostic parameters. In addition, in order to improve the accuracy of the diagnosis, the system can consider more factors when generating temporary diagnostic parameters, such as the operating time of the equipment, environmental factors, etc. Through these refined operating steps, it can be ensured that the temporary diagnostic parameters can more accurately reflect the needs of the current diagnostic session, thereby improving the efficiency and accuracy of line loss anomaly diagnosis.

[0045] In some embodiments, the encrypted information is generated by: Decomposing the line loss abnormality feature to obtain a front-end feature and a back-end feature, wherein the dimension of the front-end feature is equal to the dimension of the back-end feature; generating a first characteristic factor and a second characteristic factor; Performing feature processing on the front-end feature using the first feature factor to obtain first feature information; Performing feature processing on the latter feature using the second feature factor to obtain second feature information; Concatenate the first characteristic factor and the second characteristic information to obtain first characteristic encrypted information; Concatenate the second characteristic factor and the first characteristic information to obtain second characteristic encrypted information; Obtaining the diagnosis public key in the temporary diagnosis parameters; Using the diagnosis public key to perform encryption operations on the first characteristic encryption information and the second characteristic encryption information respectively, to obtain first encryption information and second encryption information; The first encrypted information and the second encrypted information are determined as the encrypted information.

[0046] It should be noted that in the process of generating encrypted information, the splicing of characteristic factors and characteristic information is achieved by combining the characteristic factors and characteristic information in byte-level order. For example, when the first characteristic factor and the second characteristic information are spliced, the system will connect the byte sequence of the first characteristic factor with the byte sequence of the second characteristic information in sequence to form a new byte sequence, namely the first characteristic encrypted information. Similarly, when the second characteristic factor and the first characteristic information are spliced, they will also be combined in the same byte-level order to generate the second characteristic encrypted information. When generating the final encrypted information, the system will splice the first encrypted information and the second encrypted information in sequence. Specifically, the system will connect the byte sequence of the first encrypted information with the byte sequence of the second encrypted information in sequence to form a complete encrypted information. The spliced ​​encrypted information will be sent to the substation monitoring terminal for subsequent decryption and diagnostic processing.

[0047] In some embodiments, to ensure the integrity and correctness of the spliced ​​data, the system incorporates a verification mechanism into the splicing process. For example, the system calculates the hash values ​​of the data before and after splicing and compares the hash values ​​to verify the correctness of the splicing operation. If the hash values ​​match, the splicing is considered successful; otherwise, the system triggers an error handling mechanism and re-executes the splicing operation.

[0048] It should be noted that the encryption information generation process mentioned in the present invention is an important link for protecting data security and privacy in the line loss anomaly diagnosis system. This process decomposes and processes the line loss anomaly characteristics, and uses characteristic factors to encrypt the decomposed characteristics to finally generate encrypted information. The line loss anomaly characteristics here refer to the characteristics that are found during the diagnosis process that are inconsistent with the normal line loss status, such as abnormal voltage fluctuations, current changes or power factors. By decomposing these characteristics into front-end characteristics and back-end characteristics, and processing them respectively with different characteristic factors, the security of the data can be enhanced. The encrypted information finally generated will be sent to the substation monitoring terminal to ensure the confidentiality and integrity of the data during the transmission process.

[0049] Specifically, the decomposition of line loss anomaly features refers to splitting the feature data into two parts, the front-end features and the back-end features. The dimensions of these two parts are equal, that is, the amount of data or information they contain is the same. The first characteristic factor and the second characteristic factor are parameters used to process the features. They can be randomly generated keys or specific encryption algorithm parameters. The first characteristic information is obtained by processing the front-end features using the first characteristic factor; the second characteristic information is obtained by processing the back-end features using the second characteristic factor. The first characteristic factor and the second characteristic information are then concatenated to obtain the first characteristic encrypted information, and the second characteristic factor and the first characteristic information are concatenated to obtain the second characteristic encrypted information. Finally, the diagnostic public key in the temporary diagnostic parameters is used to encrypt the two parts of the encrypted information to generate the final encrypted information. The diagnostic public key is a public key used to encrypt data. Together with the corresponding private key, it constitutes an asymmetric encryption mechanism to ensure that only the substation monitoring terminal holding the private key can decrypt the data.

[0050] Before processing the back-end features, the system will first perform feature extraction and preprocessing on the back-end features. Feature extraction refers to extracting key feature information from the back-end features, such as the dimension of the feature, the distribution of the feature values, etc. Preprocessing includes normalizing the feature data to eliminate the dimensional differences between different features and ensure the accuracy of subsequent processing. The second characteristic factor is generated by a secure random number generation algorithm and is used to encrypt the back-end features. The system will perform a byte-by-byte XOR operation on the second characteristic factor and the back-end features to encrypt the back-end features. Specifically, the system will perform an XOR operation on each byte of the second characteristic factor with the corresponding byte of the back-end features to generate encrypted feature information, namely the second characteristic information.

[0051] After generating the secondary signature, the system performs integrity verification to ensure it hasn't been tampered with during processing. This verification involves calculating a hash value for the signature and comparing it to a pre-set hash value. If the hash values ​​match, the signature is considered complete; otherwise, the system regenerates the secondary signature and re-processes the data.

[0052] Preferably, the process of generating encrypted information can be further refined. For example, when generating the first and second characteristic factors, a secure random number generation algorithm can be used to ensure the randomness and unpredictability of the factors. When processing the features, a symmetric encryption algorithm (such as AES) can be used to encrypt the features, and then the encrypted features can be concatenated with the characteristic factors. When using the diagnostic public key for encryption, an asymmetric encryption algorithm (such as RSA) can be used to ensure the security of the encrypted information. In addition, to further improve data security, information such as timestamps or serial numbers can be added to the encryption process to prevent replay attacks. Through these refined operational steps, the generation process of encrypted information can be ensured to be more secure and reliable, thereby effectively protecting the security and privacy of line loss anomaly characteristic data during transmission.

[0053] The aforementioned embodiments of the present invention have the following beneficial effects: The present invention can enhance the intelligent level of line loss anomaly diagnosis in substations, ensuring the accuracy and timeliness of data collection by dynamically generating temporary metering and topology identifiers, while also safeguarding the security of data during transmission based on an encrypted communication mechanism. By combining the collaborative processing of a line loss analysis server with substation monitoring terminals, abnormal features can be quickly identified and diagnostic parameters generated, significantly improving fault location efficiency. The use of feature decomposition and dual encryption technology can enhance data protection and prevent the leakage or tampering of critical information. This invention also optimizes the automation level of the line loss diagnosis process, achieving closed-loop diagnostic management through a linkage mechanism between temporary feedback parameters and abnormal feedback parameters. Dynamic calculations based on the diagnostic parameter generation center ensure the uniqueness and reliability of temporary diagnostic parameters, improving system response speed. By combining characteristic factor splicing with public-key encryption, a more secure data exchange channel can be established, providing efficient and accurate technical support for distribution network line loss analysis.

[0054] like Figure 2 As shown, some embodiments provide a system for diagnosing abnormal line loss in a transformer area, the system comprising: The first generating unit 201 is configured to generate a temporary metering identifier and a topology identifier corresponding to the substation metering device in response to receiving a line loss abnormality diagnosis request information for the substation metering device; The acquisition unit 202 is configured to acquire the real-time metering data and topology structure information corresponding to the substation metering device according to the temporary metering identifier and the topology identifier; The first sending unit 203 is configured to send the real-time metering data and topology information to the line loss analysis server and the substation monitoring terminal respectively through the data acquisition server; The second generating unit 204 is configured to generate a line loss diagnosis identifier, a reference parameter, and a monitoring identifier corresponding to the substation monitoring terminal in response to determining that the line loss analysis server and the substation monitoring terminal have respectively received the topology information and the real-time metering data, and determining that a line loss abnormality feature is generated on the line loss analysis server; The third generating unit 205 is configured to generate temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnosis identifier, the reference parameter and the monitoring identifier; The second sending unit 206 is configured to send the encrypted information corresponding to the line loss abnormality feature to the substation monitoring terminal, wherein the encrypted information is generated based on the temporary diagnostic parameter; The execution unit 207 is configured to, in response to determining that the substation monitoring terminal has acquired the decrypted line loss abnormality feature, execute line loss abnormality diagnosis processing for the substation according to the line loss abnormality feature.

[0055] It is understandable that the modules recorded in the abnormal line loss diagnosis system of the transformer area are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the abnormality diagnosis method for line loss in the substation are also applicable to the abnormality diagnosis system for line loss in the substation and the modules contained therein, and will not be repeated here.

[0056] Reference below Figure 3 , which shows a schematic structural diagram of an electronic device 300 suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0057] like Figure 3 As shown, electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 302 or programs loaded from a storage device 308 into a random access memory (RAM) 303. RAM 303 also stores various programs and data required for the operation of electronic device 300. Processing device 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to bus 304.

[0058] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as needed.

[0059] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or a terminal device such as a computer, server, mobile phone, or tablet.

[0060] The above descriptions merely illustrate some preferred embodiments of the present invention and the underlying technical principles. Those skilled in the art should understand that the scope of the invention encompassed by the embodiments of the present invention is not limited to technical solutions formed by specific combinations of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned inventive concept. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. A method for diagnosing abnormal line loss in a transformer area, characterized in that: include: In response to receiving a line loss abnormality diagnosis request message for a substation metering device, generating a temporary metering identifier and a topology identifier corresponding to the substation metering device; According to the temporary metering identifier and the topology identifier, obtaining the real-time metering data and topology structure information corresponding to the metering equipment in the substation area; The real-time metering data and topology information are sent to the line loss analysis server and the substation monitoring terminal respectively through the data acquisition server; In response to determining that the line loss analysis server and the substation monitoring terminal have respectively received the topology information and the real-time metering data, and determining that a line loss abnormality feature is generated on the line loss analysis server, a line loss diagnosis identifier, a reference parameter, and a monitoring identifier corresponding to the substation monitoring terminal are generated, wherein the line loss diagnosis identifier corresponds to a line loss abnormality diagnosis session for the substation; Generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter and the monitoring identifier; Sending encrypted information corresponding to the abnormal line loss feature to the substation monitoring terminal, wherein the encrypted information is generated based on the temporary diagnostic parameters; In response to determining that the substation monitoring terminal has acquired the decrypted line loss abnormality feature, a line loss abnormality diagnosis process for the substation is performed according to the line loss abnormality feature.

2. The method according to claim 1, characterized in that The method further comprises: Generate equipment identification corresponding to the metering equipment in the substation; In response to determining that an abnormal feedback parameter is generated at the substation monitoring terminal, generating a temporary feedback parameter corresponding to the substation metering device according to the line loss diagnosis identifier, the reference parameter and the device identifier; Sending encrypted information corresponding to the abnormal feedback parameter to the line loss analysis server, wherein the encrypted information is generated based on the temporary feedback parameter; In response to determining that the line loss analysis server has acquired the decrypted abnormal feedback parameters, a line loss abnormality diagnosis process for the substation is performed according to the abnormal feedback parameters.

3. The method according to claim 1, characterized in that The generating of a temporary metering identifier and a topology identifier corresponding to the substation metering device includes: Obtaining the original metering identifier and topology identifier corresponding to the metering equipment in the substation area; Based on the original metering identifier and topology identifier, a communication connection is established between the substation metering device and the data acquisition server, and a data connection is established between the substation monitoring terminal and the analysis server to obtain a temporary metering identifier and a topology identifier respectively.

4. The method according to claim 1, wherein obtaining the real-time metering data and topology information corresponding to the substation metering equipment according to the temporary metering identifier and the topology identifier comprises: According to the temporary metering identifier and the topology identifier, obtaining the public metering data and topology structure information corresponding to the substation metering equipment from the target data acquisition server; Combining the temporary metering identifier with the public metering data to obtain real-time metering data; The topology identifier and the topology structure information are combined to obtain the topology structure information.

5. The method according to claim 1, wherein Generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter, and the monitoring identifier includes: combining the monitoring identifier with the line loss diagnosis identifier to generate a monitoring diagnosis identifier; According to the reference parameters and the monitoring diagnosis identifier, temporary diagnostic parameters corresponding to the substation monitoring terminal are generated.

6. The method according to claim 5, characterized in that Generating temporary diagnostic parameters corresponding to the substation monitoring terminal according to the reference parameters and the monitoring diagnostic identifier includes: Combining the reference parameter and the monitoring diagnosis identifier to obtain diagnosis combination information; The diagnosis parameter generation center is used to process the diagnosis combination information to obtain temporary diagnosis parameters.

7. The method according to claim 1, characterized in that The encrypted information is generated by the following steps: Decomposing the line loss abnormality feature to obtain a front-end feature and a back-end feature, wherein the dimension of the front-end feature is equal to the dimension of the back-end feature; generating a first characteristic factor and a second characteristic factor; Performing feature processing on the front-end feature using the first feature factor to obtain first feature information; Performing feature processing on the latter feature using the second feature factor to obtain second feature information; Concatenate the first characteristic factor and the second characteristic information to obtain first characteristic encrypted information; Concatenate the second characteristic factor and the first characteristic information to obtain second characteristic encrypted information; Obtaining the diagnosis public key in the temporary diagnosis parameters; Using the diagnosis public key to perform encryption operations on the first characteristic encryption information and the second characteristic encryption information respectively, to obtain first encryption information and second encryption information; The first encrypted information and the second encrypted information are determined as the encrypted information.

8. A system for diagnosing abnormal line loss in a transformer area, characterized in that: include: The first generating unit is configured to generate a temporary metering identifier and a topology identifier corresponding to the substation metering device in response to receiving a line loss abnormality diagnosis request information for the substation metering device; An acquiring unit configured to acquire real-time metering data and topology structure information corresponding to the substation metering device according to the temporary metering identifier and the topology identifier; The first sending unit is configured to send the real-time metering data and topology information to the line loss analysis server and the substation monitoring terminal respectively through the data acquisition server; The second generating unit is configured to generate a line loss diagnosis identifier, a reference parameter, and a monitoring identifier corresponding to the substation monitoring terminal in response to determining that the line loss analysis server and the substation monitoring terminal have respectively received the topology information and the real-time metering data, and determining that a line loss abnormality feature is generated on the line loss analysis server; A third generating unit is configured to generate temporary diagnostic parameters corresponding to the substation monitoring terminal according to the line loss diagnostic identifier, the reference parameter and the monitoring identifier; A second sending unit is configured to send encrypted information corresponding to the line loss abnormality feature to the substation monitoring terminal, wherein the encrypted information is generated based on the temporary diagnostic parameter; The execution unit is configured to, in response to determining that the substation monitoring terminal has acquired the decrypted line loss abnormality feature, execute line loss abnormality diagnosis processing for the substation according to the line loss abnormality feature.

9. An electronic device, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

Images