A detection method for relay protection devices based on human-computer interaction

Abstract

This invention belongs to the field of smart grids and discloses a detection method for relay protection devices based on human-machine interaction. This invention collects relay protection test results, mobile maintenance inspection results, and manually adjusted parameters based on the aging level of the equipment using a smart mobile terminal. It then calls upon the corresponding relay protection device commissioning result level to construct an automatic test model for the relay protection device. This automatic test model outputs the real-time commissioning result level of the relay protection device for each mobile maintenance inspection or relay protection test result. The smart mobile terminal automates relay protection detection and verification, and facilitates on-site data collection, enabling data sharing, improving work efficiency, and enhancing the digital management level of secondary specialties. This improves the digitalization level and efficiency of relay protection device maintenance and commissioning operations, reduces the burden on frontline staff, and supports the safe and stable operation of the power grid.

Description

Technical Field

[0001] This invention belongs to the field of smart grid technology, and in particular relates to a detection method for relay protection devices based on human-machine interaction. Background Technology

[0002] Power relay protection devices are crucial equipment for ensuring the stability and reliability of power transmission and transformation systems. However, due to differences in the operating status of the circuits connected to these devices, variations in their distribution locations and environments, as well as the lifespan and quality of the devices themselves, power relay protection devices are prone to various problems. On the one hand, they can easily experience overloads, insufficient voltage, phase loss, and high temperatures, severely impacting power transmission quality. On the other hand, they can also easily cause equipment failures during operation. Furthermore, because power relay protection devices are widely distributed and used, it is currently difficult for staff to accurately monitor the operating status of each device, or to accurately assess and predict their operational status.

[0003] When accurately assessing and predicting the operational status of relay protection devices, two main challenges arise. First, the varying skill levels of maintenance personnel make it difficult to guarantee the quality of commissioning. Although guidance documents such as commissioning operation manuals exist to guide team members in relevant testing, configuring test parameters according to these manuals heavily relies on the technical expertise of the commissioning personnel and cannot guarantee 100% accuracy. Some items require repeated testing, leading to low efficiency in relay protection device maintenance. Second, the workload of recording secondary equipment test data is substantial, resulting in low commissioning efficiency. Numerous relay protection devices undergo repeated testing, generating enormous amounts of data, which lacks automated analysis. After testing, reports must be manually compiled, and paper reports are easily lost or damaged, hindering archiving, data sharing, and other logistical difficulties.

[0004] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art.

[0005] Therefore, there is an urgent need for a detection method for relay protection devices based on human-computer interaction, which can solve the above problems. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention proposes a detection method for relay protection devices based on human-computer interaction.

[0007] In a first aspect of the present invention, a detection method for a relay protection device based on human-computer interaction is provided, characterized in that the method includes the following steps:

[0008] T1. The digital platform client obtains the first relay protection test data of the relay protection device, and the intelligent mobile terminal obtains the first relay protection operation and maintenance test results during mobile operation and maintenance, and at the same time obtains the first aging correction parameters of the relay protection device.

[0009] T2. The first debugging and detection vector feature constructed based on the first relay protection test data, the first relay protection operation and maintenance detection results, and the first aging correction parameters;

[0010] T3. Call the first relay protection debugging result level corresponding to the first debugging detection vector feature, and use the first debugging detection vector feature and the first relay protection debugging result level to jointly construct an automatic test model for the relay protection device.

[0011] T4. The intelligent mobile terminal receives the second relay protection operation and maintenance test results during mobile operation and maintenance, the second relay protection test data during subsequent testing of the relay protection device, and the second aging correction coefficient. Based on the second relay protection operation and maintenance test results, the second relay protection test data, and the second aging correction coefficient, a second debugging and detection vector feature is constructed. The automatic test model of the relay protection device processes the second debugging and detection vector feature to generate a second relay protection debugging result level. Based on the second relay protection debugging result level, the status of the relay protection device after each maintenance or operation and maintenance test is digitally displayed in real time, which can effectively reduce maintenance time and operation and maintenance costs.

[0012] Furthermore, the first relay protection test data or the second relay protection test data T f It is obtained by processing electrical and non-electrical quantity data during testing.

[0013] Furthermore, the first relay protection operation and maintenance test result includes the first electrical quantity data T of the relay protection device obtained during the operation and maintenance process. e and the first non-electrical quantity data T p The first feature vector of the first relay protection operation and maintenance detection result is represented as T. t (T e T p ), T t (T e T p The second relay protection operation and maintenance detection result is sent to the smart mobile terminal via Bluetooth. It includes the second electrical quantity data and the second non-electrical quantity data of the relay protector obtained during the operation and maintenance process. The second relay protection operation and maintenance detection result is represented by a second feature vector. The smart mobile terminal uses the Internet to transmit the first feature vector or the second feature vector to the digital platform client.

[0014] Furthermore, the first debugging detection vector feature is T f T t And obtained by processing ∈, specifically represented as (T f , ∈T t ), T f The feature vector of the first relay protection test data and the first relay protection operation and maintenance detection result is represented by T. t (T e T p ), where ∈ is the first aging correction parameter, and the second debugging detection vector feature is obtained from the second relay protection test data, the second relay protection operation and maintenance detection results, and the second aging correction parameter.

[0015] Furthermore, the first aging correction parameter or the second aging correction parameter is obtained by processing the service life of the relay protection device, the service life already completed, and the maximum value of each electrical quantity data.

[0016] Furthermore, the first or second relay protection debugging result level is divided into three levels: normal, warning, and severe. The values ​​obtained by the automatic test model of the relay protection device after processing the first or second debugging detection vector features are respectively greater than zero, indicating that the relay protection debugging result is normal; equal to zero, indicating that the relay protection debugging result is warning; and less than zero, indicating that the relay protection debugging result is severe.

[0017] Furthermore, the automatic test model for the relay protection device employs an improved Fisher criterion-based classifier, the calculation formula of which is shown below:

[0018]

[0019] F(T) represents the output level of the first or second relay protection debugging result, ∈ represents the first or second aging correction parameter, and T f For either the first relay protection test data or the second relay protection test data, W S T is the normal vector perpendicular to the hyperplane, and T is the input first debugging detection vector feature or the second debugging detection vector feature.

[0020] A detection system for relay protection devices based on human-computer interaction is also provided. The system includes a digital platform client module, a portable mobile terminal module for relay protection, a relay protection device data acquisition module, a relay protection data processing module, an automatic test model construction module for relay protection devices, and a digital platform debugging result display module. Its features are:

[0021] The digital platform client module is used to acquire the first relay protection test data of the relay protection device, and also to acquire the second relay protection test data during subsequent tests of the relay protection device, and to acquire the first relay protection debugging result level.

[0022] The relay protection portable mobile terminal module: obtains the first relay protection operation and maintenance test result in mobile operation and maintenance through a smart mobile terminal, and is also used to obtain the second relay protection operation and maintenance test result in mobile operation and maintenance;

[0023] The relay protection device data acquisition module is used to acquire the first aging correction parameter of the relay protection device and also to acquire the second aging correction parameter of the relay protection device.

[0024] The relay protection data processing module: constructs a first debugging detection vector feature based on the first relay protection test data, the first relay protection operation and maintenance detection result, and the first aging correction parameter; and constructs a second debugging detection vector feature based on the second relay protection test data, the second relay protection operation and maintenance detection result, and the second aging correction parameter.

[0025] The automatic test model construction module for relay protection device: receives the first debugging detection vector features and the first relay protection debugging result level, and constructs an automatic test model for relay protection device using the first debugging detection vector features and the first relay protection debugging result level;

[0026] The digital platform debugging result display module: calls the automatic test model of the relay protection device to process the received second debugging detection vector features, generates a second relay protection debugging result level, and digitally displays the status of the relay protection device after each maintenance or operation and maintenance test based on the second relay protection debugging result level.

[0027] Furthermore, the first relay protection test data or the second relay protection test data T f It is obtained by processing electrical and non-electrical quantity data during testing.

[0028] Furthermore, the automatic test model for the relay protection device employs an improved Fisher criterion-based classifier, the calculation formula of which is shown below:

[0029]

[0030] F(T) represents the output level of the first or second relay protection debugging result, ∈ represents the first or second aging correction parameter, and T f For either the first relay protection test data or the second relay protection test data, WS T is the normal vector perpendicular to the hyperplane, and T is the input first debugging detection vector feature or the second debugging detection vector feature.

[0031] This invention provides a human-computer interaction-based detection method for relay protection devices. It utilizes an improved Fisher model to construct an automated testing model for relay protection devices, outputting real-time relay protection device commissioning result levels for each mobile maintenance inspection or relay protection test. A smart mobile terminal automates relay protection detection and verification, and collects on-site data. The platform client processes the collected data, improving the model's real-time detection capabilities in this scenario. The smart terminal facilitates data updates, improving data sharing, increasing work efficiency, and enhancing the digital management level of secondary specialties. This, in turn, improves the digitalization and efficiency of relay protection device maintenance and commissioning operations, reducing the burden on frontline workers and supporting the safe and stable operation of the power grid. Attached Figure Description

[0032] Figure 1 This is a flowchart of a detection method for a relay protection device based on human-computer interaction according to the present invention;

[0033] Figure 2 This is a schematic diagram of the detection system structure of a relay protection device based on human-computer interaction according to the present invention;

[0034] Figure 3 This is a schematic diagram of some parameters of the relay protection device in this invention;

[0035] Figure 4 This is a schematic diagram of the Fisher-based principle in this invention. Detailed Implementation

[0036] The invention will now be further described in conjunction with the accompanying drawings and specific embodiments.

[0037] First embodiment of the present invention:

[0038] In a first aspect of the present invention, to solve the above-mentioned technical problems, a detection method for a relay protection device based on human-computer interaction is provided, characterized in that the method includes the following steps:

[0039] T1. The digital platform client obtains the first relay protection test data of the relay protection device, and the intelligent mobile terminal obtains the first relay protection operation and maintenance test results during mobile operation and maintenance, and at the same time obtains the first aging correction parameters of the relay protection device.

[0040] T2. The first debugging and detection vector feature constructed based on the first relay protection test data, the first relay protection operation and maintenance detection results, and the first aging correction parameters;

[0041] T3. Call the first relay protection debugging result level corresponding to the first debugging detection vector feature, and use the first debugging detection vector feature and the first relay protection debugging result level to jointly construct an automatic test model for the relay protection device.

[0042] T4. The intelligent mobile terminal receives the second relay protection operation and maintenance test results during mobile operation and maintenance, the second relay protection test data during subsequent testing of the relay protection device, and the second aging correction coefficient. Based on the second relay protection operation and maintenance test results, the second relay protection test data, and the second aging correction coefficient, a second debugging and detection vector feature is constructed. The automatic test model of the relay protection device processes the second debugging and detection vector feature to generate a second relay protection debugging result level. Based on the second relay protection debugging result level, the status of the relay protection device after each maintenance or operation and maintenance test is digitally displayed in real time, which can effectively reduce maintenance time and operation and maintenance costs.

[0043] Furthermore, the first relay protection test data or the second relay protection test data T f It is obtained by processing electrical and non-electrical quantity data during testing, and its calculation formula is as follows:

[0044]

[0045] In the formula, T f The first or second relay protection test data is obtained after processing electrical quantity data and non-electrical quantity data following relay protection device testing. k1 represents the types of electrical quantities the relay protection device can handle, k2 represents the types of non-electrical quantities the relay protection device can handle, and T1 represents the electrical quantity parameter values ​​during relay protection device testing. min T represents the minimum electrical quantity parameter value during relay protection device testing. max T1 represents the maximum electrical quantity parameter value during relay protection device testing, and T2 represents the non-electrical quantity parameter value during relay protection device testing. μ T represents the average value of non-electrical parameters during relay protection device testing. σ This represents the standard deviation of non-electrical parameter values ​​during relay protection testing.

[0046] In this embodiment, electrical quantities refer to various parameters in the power system that are directly related to electricity, such as current, voltage, frequency, power, impedance, and capacitance. Non-electrical quantities refer to parameters in the power system other than electrical quantities, such as temperature, pressure, rotational speed, deformation, flow rate, and liquid level.

[0047] Furthermore, the first relay protection operation and maintenance test result includes the first electrical quantity data T of the relay protection device obtained during the operation and maintenance process. e and the first non-electrical quantity data T p The first feature vector of the first relay protection operation and maintenance detection result is represented as T. t (T e T p ), T t (T e T p The second relay protection operation and maintenance detection result is sent to the smart mobile terminal via Bluetooth. It includes the second electrical quantity data and the second non-electrical quantity data of the relay protector obtained during the operation and maintenance process. The second relay protection operation and maintenance detection result is represented by a second feature vector. The smart mobile terminal uses the Internet to transmit the first feature vector or the second feature vector to the digital platform client.

[0048] Furthermore, the first debugging detection vector feature is T f T t And obtained by processing ∈, specifically represented as (T f , ∈T t ), T f The feature vector of the first relay protection test data and the first relay protection operation and maintenance detection result is represented by T. t (T e T p ), where ∈ is the first aging correction parameter, and the second debugging detection vector feature is obtained from the second relay protection test data, the second relay protection operation and maintenance detection results, and the second aging correction parameter.

[0049] Furthermore, the first aging correction parameter or the second aging correction parameter is obtained by processing the service life of the relay protection device, its service life, and the maximum value of each electrical quantity, and its calculation formula is as follows:

[0050]

[0051] Furthermore, the first debugging detection vector feature or the second debugging detection vector feature is T. f T t And obtained by processing ∈, specifically represented as (T f , ∈T t ), T f The feature vector of either the first relay protection test data or the second relay protection test data is represented as T. t (T e Tp ), where ∈ represents the first aging correction parameter or the second aging correction parameter.

[0052] Furthermore, the first or second relay protection debugging result level is divided into three levels: normal, warning, and severe. The values ​​obtained by the automatic test model of the relay protection device after processing the first or second debugging detection vector features are respectively greater than zero, indicating that the relay protection debugging result is normal; equal to zero, indicating that the relay protection debugging result is warning; and less than zero, indicating that the relay protection debugging result is severe.

[0053] Furthermore, the automatic test model for the relay protection device employs an improved Fisher criterion-based classifier, the calculation formula of which is shown below:

[0054]

[0055] F(T) represents the output level of the first or second relay protection debugging result, ∈ represents the first or second aging correction parameter, and T f For either the first relay protection test data or the second relay protection test data, W S T is the normal vector perpendicular to the hyperplane, and T is the input first debugging detection vector feature or the second debugging detection vector feature.

[0056] A detection system for relay protection devices based on human-computer interaction is also provided. The system includes a digital platform client module, a relay protection intelligent mobile terminal module, a relay protection device data acquisition module, a relay protection data processing module, a relay protection device automatic test model construction module, and a digital platform debugging result display module. Its features are:

[0057] The digital platform client module is used to acquire the first relay protection test data of the relay protection device, and also to acquire the second relay protection test data during subsequent tests of the relay protection device, and to acquire the first relay protection debugging result level.

[0058] The relay protection intelligent mobile terminal module: obtains the first relay protection operation and maintenance test result in mobile operation and maintenance through the intelligent mobile terminal, and is also used to obtain the second relay protection operation and maintenance test result in mobile operation and maintenance;

[0059] The relay protection device data acquisition module is used to acquire the first aging correction parameter of the relay protection device and also to acquire the second aging correction parameter of the relay protection device.

[0060] The relay protection data processing module: constructs a first debugging detection vector feature based on the first relay protection test data, the first relay protection operation and maintenance detection result, and the first aging correction parameter; and constructs a second debugging detection vector feature based on the second relay protection test data, the second relay protection operation and maintenance detection result, and the second aging correction parameter.

[0061] The automatic test model construction module for relay protection device: receives the first debugging detection vector features and the first relay protection debugging result level, and constructs an automatic test model for relay protection device using the first debugging detection vector features and the first relay protection debugging result level;

[0062] The digital platform debugging result display module: calls the automatic test model of the relay protection device to process the received second debugging detection vector features, generates a second relay protection debugging result level, and digitally displays the status of the relay protection device after each maintenance or operation and maintenance test based on the second relay protection debugging result level.

[0063] Furthermore, the first relay protection test data or the second relay protection test data T f It is obtained by processing electrical and non-electrical quantity data during testing, and its calculation formula is as follows:

[0064]

[0065] In the formula, T f The first or second relay protection test data is obtained after processing electrical quantity data and non-electrical quantity data following relay protection device testing. k1 represents the types of electrical quantities the relay protection device can handle, k2 represents the types of non-electrical quantities the relay protection device can handle, and T1 represents the electrical quantity parameter values ​​during relay protection device testing. min T represents the minimum electrical quantity parameter value during relay protection device testing. max T1 represents the maximum electrical quantity parameter value during relay protection device testing, and T2 represents the non-electrical quantity parameter value during relay protection device testing. μ T represents the average value of non-electrical parameters during relay protection device testing. σ This represents the standard deviation of non-electrical parameter values ​​during relay protection testing.

[0066] Furthermore, the automatic test model for the relay protection device employs an improved Fisher criterion-based classifier, the calculation formula of which is shown below:

[0067]

[0068] F(T) represents the output level of the first or second relay protection debugging result, ∈ represents the first or second aging correction parameter, and T f For either the first relay protection test data or the second relay protection test data, W S T is the normal vector perpendicular to the hyperplane, and T is the input first debugging detection vector feature or the second debugging detection vector feature.

[0069] This invention provides a human-computer interaction-based detection method for relay protection devices. It utilizes an improved Fisher model to construct an automated testing model for relay protection devices, outputting real-time relay protection device commissioning result levels for each mobile maintenance inspection or relay protection test. A smart mobile terminal automates relay protection detection and verification, and collects on-site data. The platform client processes the collected data, improving the model's real-time detection capabilities in this scenario. The smart terminal facilitates data updates, improving data sharing, increasing work efficiency, and enhancing the digital management level of secondary specialties. This, in turn, improves the digitalization and efficiency of relay protection device maintenance and commissioning operations, reducing the burden on frontline workers and supporting the safe and stable operation of the power grid.

[0070] The combination of multiple embodiments of the present invention can achieve all the above effects, but it is not required that each embodiment of the present invention achieve all the above advantages and effects, because each embodiment of the present invention can constitute a separate technical solution and make one or more contributions to the prior art.

[0071] For any module structures not specifically defined in this invention, the existing technical specifications shall prevail. The existing technical specifications mentioned in the foregoing background and specific embodiments sections are considered part of this invention and are used to understand the meaning of certain technical features or parameters. The scope of protection of this invention is determined by the actual contents of the claims.

Claims

1. A detection method for a relay protection device based on human-computer interaction, characterized in that, The method includes the following steps: T1. The digital platform client obtains the first relay protection test data of the relay protection device, and the intelligent mobile terminal obtains the first relay protection operation and maintenance test results during mobile operation and maintenance. At the same time, the intelligent mobile terminal obtains the first aging correction parameters of the relay protection device. T2. Obtain the first debugging and detection vector feature based on the first relay protection test data, the first relay protection operation and maintenance detection results, and the first aging correction parameters; T3. Obtain the first relay protection debugging result level corresponding to the first debugging detection vector feature, and construct an automatic test model for the relay protection device based on the first debugging detection vector feature and the first relay protection debugging result level. The automatic test model for the relay protection device uses an improved classifier based on the Fisher criterion, and the calculation formula is as follows: F(T) represents the output level of the first or second relay protection debugging result, ∈ represents the first or second aging correction parameter, and T f For the first relay protection test data or the second relay protection test data, W S The normal vector is perpendicular to the hyperplane, and T is the first or second debug detection vector feature of the input. T4. The intelligent mobile terminal acquires the second relay protection operation and maintenance detection results, the second relay protection test data, and the second aging correction parameters during mobile operation and maintenance. Based on the second relay protection operation and maintenance detection results, the second relay protection test data, and the second aging correction parameters, it obtains the second debugging detection vector feature. The automatic test model of the relay protection device processes the second debugging detection vector feature to generate the second relay protection debugging result level. Based on the second relay protection debugging result level, it displays the status of the relay protection device after maintenance or operation and maintenance detection in real time. The first relay protection debugging result level or the second relay protection debugging result level is divided into three levels: normal, warning, and severe, which correspond to the values ​​obtained by the automatic test model of the relay protection device after processing the first debugging detection vector feature or the second debugging detection vector feature being greater than zero, equal to zero, and less than zero, respectively. The first relay protection test data or the second relay protection test data is obtained by processing electrical and non-electrical quantity data during the test, and its calculation formula is as follows: In the formula, T f The first or second relay protection test data is obtained after processing electrical quantity data and non-electrical quantity data following relay protection device testing. k1 represents the types of electrical quantities the relay protection device can handle, k2 represents the types of non-electrical quantities the relay protection device can handle, and T1 represents the electrical quantity parameter values ​​during relay protection device testing. min T represents the minimum electrical quantity parameter value during relay protection device testing. max T1 represents the maximum electrical quantity parameter value during relay protection device testing, and T2 represents the non-electrical quantity parameter value during relay protection device testing. μ T represents the average value of non-electrical parameters during relay protection device testing. σ This represents the standard deviation of non-electrical parameter values ​​during relay protection testing.

2. The detection method for a relay protection device based on human-computer interaction as described in claim 1, characterized in that: The first relay protection operation and maintenance test result includes the first electrical quantity data T of the relay protection device obtained during the operation and maintenance process. e and the first non-electrical quantity data T p The first feature vector of the first relay protection operation and maintenance detection result is represented as T. t (T e T p ), T t (T e T p The second relay protection operation and maintenance detection result is sent to the smart mobile terminal via Bluetooth. It includes the second electrical quantity data and the second non-electrical quantity data of the relay protector obtained during the operation and maintenance process. The second relay protection operation and maintenance detection result is represented by a second feature vector. The smart mobile terminal uses the Internet to transmit the first feature vector or the second feature vector to the digital platform client.

3. The detection method for a relay protection device based on human-computer interaction as described in claim 2, characterized in that: The first or second aging correction parameter is obtained by processing the service life, the current service life, and the maximum value of various electrical quantity data of the relay protection device. Its calculation formula is as follows: In the formula, ∈ represents the first aging correction parameter or the second aging correction parameter, and A t The lifespan of the relay protection device is represented by A, where A is the completed lifespan of the relay protection device, n represents the nth electrical quantity data, and Ti is the value of Ti. max This represents the maximum value of the i-th electrical quantity data.

4. The detection method for a relay protection device based on human-computer interaction as described in claim 3, characterized in that: The first debugging detection vector feature is T f T t And obtained by processing ∈, specifically represented as (T f , ∈T t ), T f The feature vector of the first relay protection test data and the first relay protection operation and maintenance detection result is represented by T. t (T e T p ), where ∈ is the first aging correction parameter, and the second debugging detection vector feature is obtained from the second relay protection test data, the second relay protection operation and maintenance detection results, and the second aging correction parameter.

5. A detection system for relay protection devices based on human-computer interaction, the system comprising a digital platform client module, a portable mobile terminal module for relay protection, a relay protection device data acquisition module, a relay protection data processing module, an automatic test model construction module for relay protection devices, and a digital platform debugging result display module, characterized in that: The digital platform client module is used to acquire the first relay protection test data of the relay protection device, and also to acquire the second relay protection test data during subsequent tests of the relay protection device, and to acquire the first relay protection debugging result level. The portable mobile terminal module for relay protection: acquires the first relay protection operation and maintenance test result in mobile operation and maintenance through a smart mobile terminal, and is also used to acquire the second relay protection operation and maintenance test result in mobile operation and maintenance; The relay protection device data acquisition module is used to acquire the first aging correction parameter of the relay protection device and also to acquire the second aging correction parameter of the relay protection device. The relay protection data processing module: constructs a first debugging and detection vector feature based on the first relay protection test data, the first relay protection operation and maintenance detection results, and the first aging correction parameters; Furthermore, a second debugging and detection vector feature is constructed based on the second relay protection test data, the second relay protection operation and maintenance detection results, and the second aging correction parameters; The automatic test model construction module for relay protection device: receives the first debugging detection vector features and the first relay protection debugging result level, and constructs an automatic test model for relay protection device using the first debugging detection vector features and the first relay protection debugging result level; The automatic test model for the relay protection device uses an improved classifier based on the Fisher criterion, and the calculation formula is as follows: F(T) represents the output level of the first or second relay protection debugging result, ∈ represents the first or second aging correction parameter, and T f For the first relay protection test data or the second relay protection test data, W S The normal vector is perpendicular to the hyperplane, and T is the first or second debug detection vector feature of the input. The digital platform debugging result display module: calls the automatic test model of the relay protection device to process the received second debugging detection vector features, generates a second relay protection debugging result level, and digitally displays the status of the relay protection device after each maintenance or operation and maintenance test based on the second relay protection debugging result level. The first relay protection test data or the second relay protection test data T f It is obtained by processing electrical and non-electrical quantity data during testing, and its calculation formula is as follows: In the formula, T f The first or second relay protection test data is obtained after processing electrical quantity data and non-electrical quantity data following relay protection device testing. k1 represents the types of electrical quantities the relay protection device can handle, k2 represents the types of non-electrical quantities the relay protection device can handle, and T1 represents the electrical quantity parameter values ​​during relay protection device testing. min T represents the minimum electrical quantity parameter value during relay protection device testing. max T1 represents the maximum electrical quantity parameter value during relay protection device testing, and T2 represents the non-electrical quantity parameter value during relay protection device testing. μ T represents the average value of non-electrical parameters during relay protection device testing. σ This represents the standard deviation of non-electrical parameter values ​​during relay protection testing.

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