Abnormity detection method, device and equipment for secondary circuit of transformer substation and medium

Abstract

The embodiment of the invention provides an anomaly detection method and device for a secondary circuit of a transformer substation, equipment and a medium. According to the method, first circuit data of a first working condition measuring point and second circuit data of a first monitoring measuring point in a secondary circuit of the transformer substation are obtained, and then a target circuit working condition corresponding to the first circuit data of the first working condition measuring point is determined in a first mapping relation; determining a second monitoring point corresponding to the target loop working condition in a second mapping relation and target standard circuit data corresponding to the second monitoring point, and finally determining the second monitoring point as an abnormal monitoring point in the secondary loop of the transformer substation if a difference value between the second circuit data and the target standard circuit data is greater than a preset threshold value. According to the method, the abnormal measuring points in the secondary circuit of the transformer substation can be accurately detected, and the abnormal detection efficiency of the secondary circuit of the transformer substation is improved.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, device, equipment and medium for detecting anomalies in the secondary circuit of a substation. Background Technology

[0002] With the large-scale construction of substations, the abnormality rate of secondary circuits has increased significantly, seriously affecting the normal operation of substations. Therefore, it is necessary to promptly detect abnormalities in the secondary circuits of substations and locate the location of the abnormalities.

[0003] Current anomaly detection methods mainly rely on manual measurement of key locations in the secondary circuits of substations using tools such as multimeters, and manual analysis and calculation of real-time electrical data at these key locations. Anomaly location depends on the experience and skills of the staff.

[0004] However, existing technologies for detecting anomalies in substation secondary circuits suffer from low accuracy and efficiency. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, and medium for detecting anomalies in the secondary circuits of substations, in order to improve the accuracy and efficiency of anomaly detection in the secondary circuits of substations.

[0006] In a first aspect, embodiments of this application provide a method for detecting anomalies in the secondary circuit of a substation, including:

[0007] Acquire the first circuit data of the first operating condition measuring point and the second circuit data of the first monitoring measuring point in the secondary circuit of the substation. The first operating condition measuring point is a measuring point used to indicate the operating condition of the circuit, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the secondary circuit of the substation.

[0008] The target loop condition corresponding to the first circuit data of the first operating condition measurement point is determined in the first mapping relationship. The first mapping relationship includes the correspondence between at least one loop condition and the circuit data of at least one operating condition measurement point.

[0009] The second mapping relationship determines the second monitoring point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring point. The second mapping relationship includes the correspondence between at least one circuit condition and the standard circuit data of at least one monitoring point.

[0010] If the difference between the second circuit data and the target standard circuit data is greater than a preset threshold, the second monitoring point is determined as an abnormal monitoring point in the secondary circuit of the substation.

[0011] In one or more embodiments, before determining the target loop condition corresponding to the first circuit data of the first operating condition measurement point in the first mapping relationship, the method further includes:

[0012] Based on the electrical drawings of the substation's secondary circuits, determine the connection model of the substation's secondary circuits;

[0013] For each circuit operating condition, the component attributes corresponding to each element in the substation secondary circuit connection model are set;

[0014] When the substation secondary circuit connection model is operating normally under the circuit conditions, determine the fourth circuit data of at least one operating condition measurement point.

[0015] The first mapping relationship is determined based on the data of each fourth circuit and the operating conditions of each loop.

[0016] In one or more embodiments, determining the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit includes:

[0017] Based on a preset element library, the electrical drawings are identified to determine at least one element in the electrical drawings and the element attributes corresponding to each element.

[0018] A substation secondary circuit connection model is generated based on at least one graphic element and the graphic element attributes corresponding to each graphic element.

[0019] In one or more embodiments, the method further includes:

[0020] For each circuit condition, when the substation secondary circuit connection model is operating normally under the circuit condition, determine the first standard circuit data of at least one monitoring point;

[0021] The second mapping relationship is determined based on the data of each first standard circuit and the operating conditions of each loop.

[0022] In one or more embodiments, the step of determining the second monitoring point as an abnormal monitoring point in the substation secondary circuit if the difference between the second circuit data and the target standard circuit data is greater than a preset threshold includes:

[0023] Determine the difference between the second circuit data and the target standard circuit data;

[0024] The second monitoring point whose difference is greater than the preset threshold is identified as an abnormal monitoring point in the secondary circuit of the substation.

[0025] In one or more embodiments, the step of identifying the electrical drawing based on a preset element library to determine at least one element in the electrical drawing and the element attribute corresponding to each element includes:

[0026] Obtain the image and text features of the electrical drawings;

[0027] Based on the image features of the electrical drawing and a preset element library, at least one element in the electrical drawing is determined;

[0028] Based on the text features of the electrical drawing, determine the element attributes corresponding to at least one element in the electrical drawing.

[0029] Secondly, embodiments of this application provide an anomaly detection device for a substation secondary circuit, comprising:

[0030] The acquisition module is used to acquire the first circuit data of the first operating condition measuring point and the second circuit data of the first monitoring measuring point in the secondary circuit of the substation. The first operating condition measuring point is a measuring point used to indicate the operating condition of the circuit, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the secondary circuit of the substation.

[0031] The first determining module is used to determine the target loop condition corresponding to the first circuit data of the first operating condition measuring point in the first mapping relationship. The first mapping relationship includes the correspondence between at least one loop condition and the circuit data of at least one operating condition measuring point.

[0032] The second determining module is used to determine the second monitoring point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring point in the second mapping relationship. The second mapping relationship includes the correspondence between at least one circuit condition and the circuit data of at least one standard monitoring point.

[0033] The third determining module is used to determine the second monitoring point as an abnormal measuring point in the secondary circuit of the substation if the difference between the second circuit data and the target standard circuit data is greater than a preset threshold.

[0034] In one or more embodiments, before determining the target loop condition corresponding to the first circuit data of the first operating condition measurement point in the first mapping relationship, the first determining module is further configured to:

[0035] Based on the electrical drawings of the substation's secondary circuits, determine the connection model of the substation's secondary circuits;

[0036] For each circuit operating condition, the component attributes corresponding to each element in the substation secondary circuit connection model are set;

[0037] When the substation secondary circuit connection model is operating normally under the circuit conditions, determine the fourth circuit data of at least one operating condition measurement point.

[0038] The first mapping relationship is determined based on the data of each fourth circuit and the operating conditions of each loop.

[0039] In one or more embodiments, the first determining module determines the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit, specifically for:

[0040] Based on a preset element library, the electrical drawings are identified to determine at least one element in the electrical drawings and the element attributes corresponding to each element.

[0041] A substation secondary circuit connection model is generated based on at least one graphic element and the graphic element attributes corresponding to each graphic element.

[0042] In one or more embodiments, the first determining module is further configured to:

[0043] For each circuit condition, when the substation secondary circuit connection model is operating normally under the circuit condition, determine the first standard circuit data of at least one monitoring point;

[0044] The second mapping relationship is determined based on the data of each first standard circuit and the operating conditions of each loop.

[0045] In one or more embodiments, the third determining module is specifically used for:

[0046] Determine the difference between the second circuit data and the target standard circuit data;

[0047] The second monitoring point whose difference is greater than the preset threshold is identified as an abnormal monitoring point in the secondary circuit of the substation.

[0048] In one or more embodiments, the first determining module, based on a preset element library, performs identification processing on the electrical drawing to determine at least one element in the electrical drawing and the element attribute corresponding to each element, specifically for:

[0049] Obtain the image and text features of the electrical drawings;

[0050] Based on the image features of the electrical drawing and a preset element library, at least one element in the electrical drawing is determined;

[0051] Based on the text features of the electrical drawing, determine the element attributes corresponding to at least one element in the electrical drawing.

[0052] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0053] The memory stores computer-executed instructions;

[0054] The processor executes computer execution instructions stored in the memory, such that the processor, when executed, is used to implement the method described in the first aspect and any of the embodiments above.

[0055] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods described in the first aspect and any of the embodiments above.

[0056] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, is used to implement the substation secondary circuit anomaly detection method as described in the first aspect and various possible implementations of the first aspect.

[0057] This application provides an anomaly detection method, apparatus, equipment, and medium for substation secondary circuits. The method first acquires first circuit data from a first operating condition measuring point and second circuit data from a first monitoring measuring point in the substation secondary circuit. The first operating condition measuring point is used to indicate the circuit's operating condition, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the substation secondary circuit. Then, a target circuit operating condition corresponding to the first circuit data of the first operating condition measuring point is determined in a first mapping relationship. This first mapping relationship includes a correspondence between at least one circuit operating condition and the circuit data of at least one operating condition measuring point. Next, a second monitoring measuring point corresponding to the target circuit operating condition and target standard circuit data corresponding to the second monitoring point are determined in a second mapping relationship. This second mapping relationship includes a correspondence between at least one circuit operating condition and the standard circuit data of at least one standard monitoring measuring point. Finally, if the difference between the second circuit data and the target standard circuit data is greater than a preset threshold, the second monitoring point is determined as an anomaly measuring point in the substation secondary circuit. In the above method, by constructing a first mapping relationship that includes the correspondence between circuit data of at least one circuit condition and at least one condition measurement point, the target circuit condition can be quickly determined based on the first circuit data of the first condition measurement point in the substation secondary circuit. By constructing a second mapping relationship that includes the correspondence between standard circuit data of at least one circuit condition and at least one monitoring measurement point, the second monitoring measurement point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring measurement point can be quickly determined based on the target circuit condition. By comparing the difference between the second circuit data and the target standard circuit data with a preset threshold, abnormal measurement points in the substation secondary circuit can be automatically detected and identified, reducing manual inspection and intervention and improving the efficiency of abnormal detection. Attached Figure Description

[0058] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0059] Figure 1 This is a schematic diagram of the structure of an anomaly monitoring system for the secondary circuit of a substation provided in an embodiment of this application;

[0060] Figure 2 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 1 ;

[0061] Figure 3 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 2 ;

[0062] Figure 4A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 3 ;

[0063] Figure 5 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 4 ;

[0064] Figure 6 A schematic diagram of the structure of the substation secondary circuit anomaly detection device provided in the embodiments of this application;

[0065] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0066] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0067] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0068] Before introducing the embodiments of this application, the application background of the embodiments of this application will be explained first:

[0069] With the large-scale construction of substations, the abnormality rate of secondary circuits has increased significantly, seriously affecting the normal operation of substations. Therefore, it is necessary to promptly detect abnormalities in the secondary circuits of substations and locate the location of the abnormalities.

[0070] Existing methods for detecting anomalies in substation secondary circuits primarily rely on manual methods for detection and location. Operators use tools such as multimeters and current clamps to measure various key locations in the substation's secondary circuits, acquiring real-time electrical data. This data is then manually analyzed and calculated to determine the anomaly, relying on the experience and skills of the personnel to locate the anomaly.

[0071] However, when using existing technologies to detect anomalies in the secondary circuits of substations, errors may occur due to improper human operation, affecting the accuracy and efficiency of anomaly detection.

[0072] The anomaly detection method for substation secondary circuits provided in this application aims to solve the aforementioned technical problems of the prior art. The inventive concept of this application is as follows: Existing methods rely on manual methods for anomaly detection and location, resulting in low accuracy and efficiency. Anomaly detection in substation secondary circuits is mainly achieved by collecting and analyzing circuit data from various monitoring points in the circuit. If the correspondence between the standard circuit data of each monitoring point and the operating condition of each circuit can be predetermined, and after determining the circuit operating condition, the real-time circuit data of the monitoring points in that circuit operating condition is compared with the standard circuit data, then the anomaly points in the substation secondary circuit can be accurately and quickly identified. Therefore, this application pre-constructs a first mapping relationship including the correspondence between circuit data of at least one circuit operating condition and at least one operating condition measurement point, and a second mapping relationship including the correspondence between standard circuit data of at least one circuit operating condition and at least one monitoring measurement point. Based on the first circuit data of the first operating condition measurement point in the substation secondary circuit and the first mapping relationship, the target circuit operating condition can be quickly determined. Then, the second monitoring measurement point corresponding to the target circuit operating condition and the target standard circuit data corresponding to the second monitoring point are determined in the second mapping relationship. The difference between the second circuit data of the first monitoring point and the target standard circuit data corresponding to the second monitoring point is compared with a preset threshold. The second monitoring point with a difference greater than the preset threshold is determined as an abnormal measurement point in the substation secondary circuit, thereby improving the accuracy and efficiency of abnormal detection in the substation secondary circuit.

[0073] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0074] Figure 1 This is a schematic diagram of the structure of an anomaly monitoring system for the secondary circuit of a substation provided in an embodiment of this application. Figure 1 As shown, the anomaly monitoring system for the secondary circuit of the substation includes: an image recognition unit, a measurement unit, a data analysis unit, a communication unit, and a human-machine interaction unit.

[0075] 1) Image recognition unit, used to recognize and process electrical drawings of substation secondary circuits and generate a model of substation secondary circuit connection relationship.

[0076] In one possible implementation, the image recognition unit is also used to convert the format of electrical drawings into a standard image format that can be recognized.

[0077] In addition, the image recognition unit also includes a preset image element library, which includes images corresponding to common components in the secondary circuit of the substation, such as connecting wires, relays, DC power supplies, voltage transformers, current transformers, hard pressure plates, circuit breakers, and connecting terminals.

[0078] 2) Measurement unit, used to acquire real-time circuit data of the corresponding measurement points in the substation secondary circuit connection relationship model, wherein the circuit data includes at least one of voltage, current and resistance.

[0079] In one possible implementation, the measurement unit also includes a display interface that can display a model of the substation secondary circuit connections.

[0080] In addition, the real-time circuit data acquired by the measurement unit can be transmitted to the data analysis unit through the communication unit.

[0081] 3) Data analysis unit, used to determine the circuit conditions of the substation's secondary circuit and the abnormal measuring points under the circuit conditions based on the real-time circuit data and standard circuit data of the measuring points;

[0082] In one possible implementation, the data analysis unit includes an anomaly analysis logic library, which includes at least one loop condition and standard circuit data for each measurement point under each loop condition.

[0083] 4) Communication unit, used to transmit real-time circuit data acquired by the measurement unit to the data analysis unit;

[0084] In one possible implementation, the communication unit primarily transmits data via a 5G network.

[0085] 5) Human-computer interaction unit, used to display the graphic elements in the substation secondary circuit identified by the image recognition unit, and to provide an interactive interface for manually setting the component attributes corresponding to each graphic element.

[0086] In one possible implementation, the human-machine interface unit can also display standard circuit data of each measuring point in the substation's secondary circuit under the current circuit operating conditions.

[0087] Based on the above embodiments, Figure 2 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 1 .like Figure 2 As shown, the anomaly detection method for the secondary circuit of this substation includes the following steps:

[0088] S210. Obtain the first circuit data of the first operating condition measuring point and the second circuit data of the first monitoring measuring point in the secondary circuit of the substation.

[0089] Among them, the first operating condition measuring point is a measuring point used to indicate the operating condition of the circuit, the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the secondary circuit of the substation, and the first circuit data and the second circuit data are real-time circuit data obtained in the secondary circuit of the substation.

[0090] In this step, the substation secondary circuit includes a first operating condition measuring point for indicating the circuit operating condition and a first monitoring measuring point other than the first operating condition measuring point. In order to determine the circuit operating condition of the substation secondary circuit, the first circuit data of the first operating condition measuring point in the substation secondary circuit can be obtained first. In order to perform anomaly detection on the substation secondary circuit, the second circuit data of the first monitoring measuring point can be obtained first.

[0091] For example, the first monitoring point may be a monitoring point used to monitor abnormalities in the secondary circuit of a substation; the circuit data includes at least one of voltage, current, and resistance.

[0092] In one possible implementation, the first circuit data and the second circuit data can be obtained by the operator using a measuring pen, or by a measuring device based on a measuring unit, which measures the data by setting measuring devices (such as voltage sensors or current sensors) at the first operating condition measuring point and the first monitoring measuring point respectively.

[0093] In addition, the first operating condition measurement point can be one or more measurement points that can reflect the operating characteristics of the circuit, and is mainly set at both ends of the components with switching attributes in the secondary circuit of the substation.

[0094] The first monitoring point can be one or more monitoring points that reflect the operating status of the substation's secondary circuit. They are mainly set at the connection terminals or intersections of the connection lines in the substation's secondary circuit.

[0095] S220. Determine the target loop condition corresponding to the first circuit data of the first working condition measurement point in the first mapping relationship;

[0096] The first mapping relationship includes the correspondence between at least one loop condition and at least one condition measurement point circuit data.

[0097] In this step, based on the first circuit data of the first operating condition measurement point, a match is made in a first mapping relationship that includes the correspondence between the circuit data of at least one loop operating condition and at least one operating condition measurement point, and the loop operating condition that matches the first circuit data of the first operating condition measurement point is determined as the target loop operating condition.

[0098] For example, the circuit data of at least one operating condition measurement point in the first mapping relationship is the reference circuit data of at least one operating condition measurement point under normal operating conditions of different loops.

[0099] Circuit operating conditions can include different conditions such as normal operating conditions, short circuit operating conditions, open circuit operating conditions, incorrect wiring operating conditions, and grounding operating conditions.

[0100] In one possible implementation, before determining the target circuit condition, it is also necessary to determine the circuit type of the substation secondary circuit. Specifically, the circuit type can be determined directly based on the indication information of the substation secondary circuit, or by analyzing the connection characteristics and functions of each component in the substation secondary circuit and comparing them with the connection characteristics and functions of components in common circuit types to determine the circuit type.

[0101] Circuit types can include common circuit types such as input circuits, output circuits, control circuits, voltage circuits, and current circuits.

[0102] In one possible implementation, the data analysis unit according to the foregoing embodiment can determine the target circuit condition corresponding to the first circuit data of the first operating condition measurement point in the first mapping relationship, and can determine the circuit type of the substation secondary circuit according to the indication information of the substation secondary circuit before determining the target circuit condition.

[0103] S230. Determine the second monitoring point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring point in the second mapping relationship.

[0104] The second mapping relationship includes the correspondence between at least one loop condition and the standard circuit data of at least one monitoring point.

[0105] In this step, based on the target circuit condition, a matching is performed in a second mapping relationship that includes the correspondence between standard circuit data of at least one circuit condition and at least one monitoring point. The monitoring point matched with the target circuit condition is determined as the second monitoring point, and the standard circuit data corresponding to the monitoring point matched with the target circuit condition is determined as the target standard circuit data corresponding to the second monitoring point.

[0106] For example, the standard circuit data of at least one monitoring point in the second mapping relationship is the reference circuit data of at least one monitoring point under different loop operating conditions.

[0107] In one possible implementation, based on the target circuit condition, the data analysis unit in the aforementioned embodiment can determine the second monitoring point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring point in the second mapping relationship.

[0108] S240. If the difference between the second circuit data and the target standard circuit data is greater than the preset threshold, the second monitoring point is determined as an abnormal monitoring point in the secondary circuit of the substation.

[0109] In this step, the difference between the second circuit data and the target standard circuit data is compared with a preset threshold. If the difference is greater than the preset threshold, the second monitoring point is identified as an abnormal monitoring point in the substation's secondary circuit.

[0110] In one possible implementation, the first monitoring point includes the second monitoring point. Then, the circuit data corresponding to the second monitoring point is determined from the second circuit data, and the difference is obtained by subtracting it from the target standard circuit data.

[0111] In one possible implementation, step S240 may further include:

[0112] Step 1: Determine the difference between the second circuit data and the target standard circuit data.

[0113] For example, subtracting the second circuit data from the target standard circuit data to determine the difference between the second circuit data and the target standard circuit data can reflect the error between the real-time circuit data and the standard circuit data.

[0114] Step 2: Identify the second monitoring point whose difference is greater than the preset threshold as an abnormal monitoring point in the substation's secondary circuit.

[0115] For example, the preset threshold is used to indicate the maximum value of the difference between the second circuit data and the target standard circuit data, that is, to indicate the maximum value of the error between the real-time circuit data and the standard circuit data. When the difference is greater than the preset threshold, it can be said that the second circuit data is abnormal, and at this time the second monitoring point is an abnormal measurement point.

[0116] In one possible implementation, the second monitoring point has unique identification and coordinate information. When an abnormal monitoring point in the secondary circuit of the substation is identified, an alarm can be triggered by sound and light, and the coordinates of the abnormal monitoring point can be displayed on a visual interface.

[0117] In one possible implementation, the communication unit sends the second circuit data to the data analysis unit, which calculates the difference between the second circuit data and the target standard circuit data. Then, the difference is compared with a preset threshold, and finally, the second monitoring point whose difference is greater than the preset threshold is identified as an abnormal monitoring point in the substation's secondary circuit.

[0118] The substation secondary circuit anomaly detection method provided in this application first acquires first circuit data of a first operating condition measuring point and second circuit data of a first monitoring measuring point in the substation secondary circuit. The first operating condition measuring point is used to indicate the circuit operating condition, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the substation secondary circuit. Then, a target circuit operating condition corresponding to the first circuit data of the first operating condition measuring point is determined in a first mapping relationship. The first mapping relationship includes a correspondence between at least one circuit operating condition and the circuit data of at least one operating condition measuring point. Next, a second monitoring measuring point corresponding to the target circuit operating condition and target standard circuit data corresponding to the second monitoring point are determined in a second mapping relationship. The second mapping relationship includes a correspondence between at least one circuit operating condition and the standard circuit data of at least one monitoring point. Finally, if the difference between the second circuit data and the target standard circuit data is greater than a preset threshold, the second monitoring point is determined as an anomaly measuring point in the substation secondary circuit. In this embodiment, by constructing a first mapping relationship that includes the correspondence between circuit data of at least one circuit condition and at least one condition measurement point, the target circuit condition can be quickly determined based on the first circuit data of the first condition measurement point in the substation secondary circuit. By constructing a second mapping relationship that includes the correspondence between standard circuit data of at least one circuit condition and at least one monitoring measurement point, the second monitoring measurement point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring measurement point can be quickly determined based on the target circuit condition. By comparing the difference between the second circuit data and the target standard circuit data with a preset threshold, abnormal measurement points in the substation secondary circuit can be automatically detected and identified, reducing manual inspection and intervention and improving the efficiency of abnormal detection.

[0119] Based on the above embodiments, Figure 3 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 2 .like Figure 3 As shown, prior to step S220 above, the anomaly detection method for the secondary circuit of this substation further includes the following steps:

[0120] S310. Based on the electrical drawings of the substation's secondary circuits, determine the connection model of the substation's secondary circuits.

[0121] In this step, the electrical drawings of the substation secondary circuit reflect the relative positions of the various components included in the substation secondary circuit, the connection relationships between different components, and the component attributes of each component. These can be determined by identifying and analyzing the electrical drawings of the substation secondary circuit. Furthermore, the connection model of the substation secondary circuit can be determined based on the component information reflected in the electrical drawings.

[0122] In one possible implementation, the electrical drawings of the substation secondary circuits include a text identifier indicating the circuit type of the substation secondary circuits. The circuit type of the substation secondary circuits can be determined first based on this text identifier, so that the substation secondary circuit connection model can be determined in a targeted manner according to the circuit type.

[0123] For example, the circuit types of the secondary circuits in a substation may include common circuit types such as input circuits, output circuits, control circuits, voltage circuits, and current circuits.

[0124] An input circuit refers to a circuit through which external power enters the power system via the input terminal of a substation. It is mainly used to connect external power sources and substations, and to import external power into the substation.

[0125] An outgoing circuit refers to the circuit through which electricity in a substation is transmitted to other power systems or load equipment via the output terminal. Voltage and current can be adjusted according to the load area.

[0126] The control circuit is used to control the switching, starting and stopping, and rotation control of equipment in the substation. It is generally composed of components such as circuit breakers, protective switches, and relays.

[0127] Voltage loops are used to monitor the voltage status of electrical equipment in substations. Voltage is usually measured using voltage transformers to ensure that the electrical equipment operates within the normal voltage range.

[0128] The current loop is used to monitor the current status of electrical equipment in a substation. It is usually measured by a current transformer, which can monitor the current magnitude in real time and detect problems such as overload or short circuit in a timely manner.

[0129] In one possible implementation, the determination of the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit can be achieved using an image recognition unit.

[0130] S320. For each circuit operating condition, set the component attributes corresponding to each element in the substation secondary circuit connection model.

[0131] In this step, for each circuit condition, the component attributes of each element in the substation secondary circuit are determined, and then the component attributes corresponding to each element in the substation secondary circuit connection model are set.

[0132] For example, the circuit operating conditions may include different operating conditions such as normal operating conditions, short circuit operating conditions, open circuit operating conditions, incorrect wiring operating conditions, and grounding operating conditions.

[0133] Normal operating conditions refer to the substation's secondary circuits operating under specified working conditions, with electrical equipment and circuits in normal operating condition, and the circuit data of each electrical device within the rated range.

[0134] A short circuit condition refers to a current short circuit that occurs in the secondary circuit of a substation, which is usually caused by electrical equipment failure, wiring errors, or external factors.

[0135] An open circuit condition refers to a situation where some electrical equipment or connecting lines in the secondary circuit of a substation are disconnected, resulting in the inability of current to flow.

[0136] Incorrect wiring condition refers to an error in the wiring of the secondary circuit of the substation, such as connecting the high voltage end to the low voltage end incorrectly, or connecting electrical equipment incorrectly.

[0137] Grounding condition refers to an electrical device or connection line in the secondary circuit of a substation accidentally coming into contact with the ground, resulting in a grounding fault.

[0138] In one possible implementation, based on the substation secondary circuit connection model, different circuit operating conditions can be simulated. The component attributes in the substation secondary circuit corresponding to each circuit operating condition are different. It is necessary to set the component attributes corresponding to each element in the substation secondary circuit connection model according to the characteristics of each circuit operating condition.

[0139] Furthermore, the simulation of different circuit operating conditions based on the substation secondary circuit connection model, and the setting of the component attributes corresponding to each element in the substation secondary circuit connection model according to the characteristics of each circuit operating condition, can be achieved based on the aforementioned human-computer interaction unit.

[0140] S330. When the substation secondary circuit connection model is operating normally under circuit conditions, determine the fourth circuit data of at least one operating condition measurement point.

[0141] In this step, when the substation secondary circuit connection model simulates the circuit operating conditions and operates normally, the fourth circuit data of at least one operating condition measurement point under the circuit operating conditions is obtained.

[0142] In one possible implementation, the fourth circuit data may include at least one of voltage, current, and resistance. The voltage or current can be determined by setting a voltage sensor or current sensor at at least one operating condition measurement point in the substation secondary circuit connection model, and the resistance can be calculated based on the mathematical relationship between voltage, current, and resistance.

[0143] The fourth circuit data at at least one operating condition measurement point can be determined by the aforementioned measurement unit.

[0144] S340. Determine the first mapping relationship based on the data of each fourth circuit and the operating conditions of each loop.

[0145] In this step, each loop condition is mapped to each fourth circuit data to obtain the correspondence between at least one loop condition and the circuit data of at least one condition measurement point, and this correspondence is determined as the first mapping relationship.

[0146] In one possible implementation, the number of operating points included in different loop conditions may be different. If loop condition 1 includes 2 operating points, namely operating point 1 and operating point 2, then in the first mapping relationship, loop condition 1 corresponds to circuit data 1 of operating point 1 and circuit data 2 of operating point 2.

[0147] In one possible implementation, the first mapping relationship can be determined by a data analysis unit based on each fourth circuit data and each loop condition.

[0148] In one possible implementation, the anomaly detection method for the secondary circuit of the substation further includes the following steps:

[0149] Step 1: For each circuit condition, when the substation secondary circuit connection model is operating normally under the circuit condition, determine the first standard circuit data of at least one monitoring point.

[0150] For example, for each circuit condition, the substation secondary circuit connection model simulates the circuit condition. When the circuit condition is in normal operation, the first standard circuit data of at least one monitoring point is acquired.

[0151] The first standard circuit data is used to indicate the reference circuit data for at least one monitoring point under each loop condition.

[0152] Step 2: Determine the second mapping relationship based on the data of each first standard circuit and the operating conditions of each loop.

[0153] For example, each loop condition is mapped to each first standard circuit data to obtain a correspondence between at least one loop condition and the standard circuit data of at least one monitoring point, and this correspondence is determined as the second mapping relationship.

[0154] In one possible implementation, the second mapping relationship can be determined by a data analysis unit based on each first standard circuit data and each loop condition.

[0155] The substation secondary circuit anomaly detection method provided in this application first determines the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit. Then, for each circuit operating condition, the component attributes corresponding to each element in the substation secondary circuit connection model are set. Next, when the substation secondary circuit connection model is running normally under the circuit operating condition, the fourth circuit data of at least one operating condition measurement point is determined. Finally, based on each fourth circuit data and each circuit operating condition, a first mapping relationship is determined. In this embodiment, by determining the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit, the interconnection relationship and component attributes of each component in the substation secondary circuit can be accurately reflected, providing a basis for subsequent simulation of different circuit operating conditions and thus determining the first mapping relationship. Component attributes are set for each circuit operating condition, so that the changes in circuit data in the substation secondary circuit can be accurately reflected under different circuit operating conditions. By simulating different circuit operating conditions through the substation secondary circuit connection model, the fourth circuit data of at least one operating condition measurement point is determined. Based on each circuit operating condition and each fourth circuit data, a first mapping relationship between the circuit operating condition and the circuit data is established, which helps to quickly and accurately determine the circuit operating condition based on the first mapping relationship, providing a basis for subsequent accurate determination of abnormal measurement points.

[0156] Based on the above embodiments, Figure 4 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 3 .like Figure 4 As shown, a possible implementation of step S310 above further includes:

[0157] S410. Based on a preset element library, perform identification processing on electrical drawings to determine at least one element in the electrical drawings and the element attributes corresponding to each element.

[0158] In this step, a graphic element library is set up in advance. Based on the standard graphic elements included in the graphic element library, the graphic elements in the electrical drawings are identified and matched to determine at least one graphic element in the electrical drawings. The graphic element attributes of each graphic element are also identified and confirmed.

[0159] For example, the preset element library includes elements corresponding to common components in the secondary circuit of a substation. Common components include connecting wires, relays, DC power supplies, voltage transformers, current transformers, hard pressure plates, circuit breakers, connecting terminals, etc. Each common component can have one or more corresponding elements, that is, each common component can have one or more forms of representation.

[0160] In one possible implementation, electrical drawings can be computer-aided design (CAD) drawings, including portable document format (PDF) and drawing file (DWG) format files. Before performing recognition processing on electrical drawings, they can be converted into a format that conforms to image recognition processing.

[0161] In one possible implementation, step S410 may further include:

[0162] Step 1: Obtain the image and text features of the electrical drawings.

[0163] For example, electrical drawings include image information and text information. Feature extraction is performed on the image information to obtain the image features of the electrical drawings, and feature extraction is performed on the text information to obtain the text features of the electrical drawings.

[0164] In one possible implementation, image processing methods can be used to obtain the image features of electrical drawings. The image processing method can be to perform edge detection on the electrical drawings to identify the areas to be processed with large brightness changes in the image information, and then extract the image features corresponding to the areas to be processed through contour extraction, thereby obtaining the image features of the electrical drawings.

[0165] In addition, the text information of electrical drawings can be parsed using Natural Language Processing (NLP) methods to determine the text features of the electrical drawings.

[0166] Step 2: Based on the image features of the electrical drawings and the preset element library, determine at least one element in the electrical drawings.

[0167] For example, the image features of an electrical drawing are matched with the features of elements in a preset element library to identify at least one element in the electrical drawing.

[0168] In one possible implementation, the similarity value between the image features of the electrical drawing and the features of the elements in a preset element library can be calculated, and the element corresponding to the maximum similarity value can be determined as the element in the electrical drawing.

[0169] Step 3: Based on the textual characteristics of the electrical drawings, determine the element attributes corresponding to at least one element in the electrical drawings.

[0170] For example, different graphic elements have different graphic element attributes. By mapping the text features to graphic elements through the spatial location of the text in the electrical drawing, the text features are parsed to determine the graphic element attributes indicated in the text semantics.

[0171] S420. Generate a substation secondary circuit connection model based on at least one graphic element and the graphic element attributes corresponding to each graphic element.

[0172] In this step, at least one graphic element is set according to its corresponding graphic element attributes to generate a substation secondary circuit connection model that includes at least one graphic element with set graphic element attributes.

[0173] For example, based on the relative positional relationship of at least one graphic element and the connection relationship between each graphic element, the specific position of the component corresponding to the graphic element and the connection between the components are set to generate the topology of the secondary circuit of the substation, and the attributes of the component corresponding to the graphic element are set according to the graphic element attributes.

[0174] In one possible implementation, the generated substation secondary circuit connection model includes at least one element corresponding to a primitive, and the properties of the element can be changed to simulate different circuit operating conditions.

[0175] In one possible implementation, this embodiment is based on the image recognition unit described above. The image recognition unit performs recognition processing on the electrical drawings to determine at least one graphic element in the electrical drawings and the graphic element attributes corresponding to each graphic element. Then, based on the at least one graphic element and the graphic element attributes corresponding to each graphic element, a substation secondary circuit connection model is generated.

[0176] The substation secondary circuit anomaly detection method provided in this application first identifies electrical drawings based on a preset element library, determining at least one element and its corresponding attribute. Then, a substation secondary circuit connection model is generated based on this element and its corresponding attribute. In this embodiment, automatic identification of electrical drawings using a preset element library allows for rapid and accurate extraction of each element and its attributes, reducing manual intervention and improving the efficiency of electrical drawing processing. The substation secondary circuit connection model generated based on the identified elements and their attributes is highly accurate, ensuring that the structure, connection relationships, and attributes of each component of the substation secondary circuit are accurately reflected in the model, providing an accurate model foundation for simulating different circuit operating conditions.

[0177] In one possible implementation, Figure 5 A flowchart illustrating the anomaly detection method for substation secondary circuits provided in this application embodiment. Figure 4 , combined Figure 5 The specific process of the substation secondary circuit anomaly detection method provided in this application embodiment is described below:

[0178] Step 1: Construct a pre-defined element library for the secondary circuits of the substation;

[0179] For example, the preset element library includes elements corresponding to common components in the secondary circuit of a substation, such as connecting wires, relays, DC power supplies, voltage transformers, current transformers, hard pressure plates, circuit breakers, and connecting terminals.

[0180] Step 2: Based on the image recognition unit, the electrical drawings of the substation secondary circuits are recognized, and a connection relationship model of the substation secondary circuits is generated.

[0181] Step 3: Based on the data analysis unit, construct an anomaly analysis logic library containing the first mapping relationship and the second mapping relationship according to the different circuit types of the substation's secondary circuits;

[0182] For example, the anomaly analysis logic library includes at least one loop condition and standard circuit data for each measurement point under each loop condition.

[0183] Step 4: Based on the interaction information of the human-machine interaction unit, the measurement unit acquires the first circuit data of the first operating condition measurement point and the second circuit data of the first monitoring measurement point in the secondary circuit of the substation.

[0184] For example, circuit data includes at least one of voltage, current, and resistance.

[0185] Step 5: The data analysis unit determines the target operating condition based on the first circuit data and the first mapping relationship sent by the communication unit, and determines the second monitoring point corresponding to the target circuit operating condition and the target standard circuit data corresponding to the second monitoring point in the second mapping relationship.

[0186] Step 6: Based on the difference between the second circuit data and the target standard circuit data and the preset threshold, the data analysis unit determines the second monitoring point with a difference greater than the preset threshold as an abnormal monitoring point in the substation secondary circuit;

[0187] Step 7: After receiving the abnormal alarm information sent by the communication unit, the human-machine interaction unit marks and displays the corresponding position of the abnormal measurement point in the substation secondary circuit model.

[0188] For example, the display interface of the human-machine interaction unit can display the circuit type and circuit operating condition of the secondary circuit of the substation corresponding to the abnormal measuring point.

[0189] Based on the above embodiments, the following is an abnormality detection device for the secondary circuit of a substation provided in this application embodiment, which can execute the method provided in the above method embodiments.

[0190] Figure 6 This is a schematic diagram of the structure of an anomaly detection device for a substation secondary circuit provided in an embodiment of this application. Figure 6 As shown, the anomaly detection device 600 for the secondary circuit of the substation includes:

[0191] The acquisition module 610 is used to acquire the first circuit data of the first operating condition measuring point and the second circuit data of the first monitoring measuring point in the secondary circuit of the substation. The first operating condition measuring point is a measuring point used to indicate the operating condition of the circuit, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the secondary circuit of the substation.

[0192] The first determining module 620 is used to determine the target loop condition corresponding to the first circuit data of the first operating condition measuring point in the first mapping relationship, wherein the first mapping relationship includes the correspondence between at least one loop condition and the circuit data of at least one operating condition measuring point.

[0193] The second determining module 630 is used to determine the second monitoring point corresponding to the target loop condition and the target standard circuit data corresponding to the second monitoring point in the second mapping relationship. The second mapping relationship includes the correspondence between at least one loop condition and the standard circuit data of at least one monitoring point.

[0194] The third determining module 640 is used to determine the second monitoring point as an abnormal measuring point in the secondary circuit of the substation if the difference between the second circuit data and the target standard circuit data is greater than a preset threshold.

[0195] In one or more embodiments, before determining the target loop condition corresponding to the first circuit data of the first operating condition measurement point in the first mapping relationship, the first determining module 620 is further configured to:

[0196] Based on the electrical drawings of the substation's secondary circuits, determine the connection model of the substation's secondary circuits;

[0197] For each circuit operating condition, the component attributes corresponding to each element in the substation secondary circuit connection model are set;

[0198] When the substation secondary circuit connection model is operating normally under circuit conditions, determine the fourth circuit data of at least one operating condition measurement point.

[0199] The first mapping relationship is determined based on the data of each fourth circuit and the operating conditions of each loop.

[0200] In one or more embodiments, the first determining module 620 determines the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit, specifically for:

[0201] Based on a pre-set element library, electrical drawings are identified to determine at least one element in the electrical drawings and the element attributes corresponding to each element.

[0202] A substation secondary circuit connection model is generated based on at least one graphic element and the graphic element attributes corresponding to each graphic element.

[0203] In one or more embodiments, the first determining module 620 is further configured to:

[0204] For each circuit condition, when the substation secondary circuit connection model is operating normally under the circuit condition, determine the first standard circuit data of at least one monitoring point;

[0205] The second mapping relationship is determined based on the data of each first standard circuit and the operating conditions of each loop.

[0206] In one or more embodiments, the third determining module 640 is specifically used for:

[0207] Determine the difference between the second circuit data and the target standard circuit data;

[0208] The second monitoring point with a difference greater than the preset threshold is identified as an abnormal monitoring point in the substation's secondary circuit.

[0209] In one or more embodiments, the first determining module 620, based on a preset element library, performs identification processing on the electrical drawing to determine at least one element in the electrical drawing and the element attribute corresponding to each element, specifically for:

[0210] Obtain the image and text features of electrical drawings;

[0211] Based on the image features of the electrical drawings and the preset element library, determine at least one element in the electrical drawings;

[0212] Based on the textual characteristics of electrical drawings, determine the element attributes corresponding to at least one element in the electrical drawings.

[0213] The substation secondary circuit anomaly detection device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0214] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 7 As shown, the electronic device 700 includes: a processor 710, a memory 720, and a bus 730;

[0215] The memory 720 is used to store the computer-executed instructions of the processor 710;

[0216] The processor 710 is configured to execute the technical solutions of any of the foregoing method embodiments by executing computer execution instructions.

[0217] The aforementioned processor 710 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The steps of the method disclosed in this invention can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules in the processor.

[0218] The memory 720 may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0219] Bus 730 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is used to represent a bus in the accompanying drawings of this application, but this does not imply that there is only one bus or one type of bus.

[0220] This application also provides a computer-readable storage medium storing computer-executable instructions thereon, which, when executed by a processor, are used to implement the technical solutions provided in any of the above method embodiments.

[0221] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random-Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0222] This application also provides a computer program product, including a computer program, which includes computer instructions stored in a computer-readable storage medium. When the computer program is executed by a processor, it is used to implement the technical solutions provided in any of the above method embodiments.

[0223] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0224] It should be understood that the foregoing device embodiments are merely illustrative, and the device of this application can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components can be combined, or integrated into another system, or some features can be ignored or not executed.

[0225] Furthermore, unless otherwise specified, the functional units / modules in the various embodiments of this application can be integrated into one unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated together. The integrated units / modules described above can be implemented in hardware or as software program modules.

[0226] When an integrated unit / module is implemented in hardware, the hardware can be digital circuits, analog circuits, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. Unless otherwise specified, the processor can be any suitable hardware processor, such as a CPU, GPU, FPGA, DSP, and ASIC. Unless otherwise specified, the storage unit can be any suitable magnetic or magneto-optical storage medium, such as resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), etc.

[0227] If the integrated unit / module is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0228] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0229] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for detecting anomalies in the secondary circuit of a substation, characterized in that, include: Acquire the first circuit data of the first operating condition measuring point and the second circuit data of the first monitoring measuring point in the secondary circuit of the substation. The first operating condition measuring point is a measuring point used to indicate the operating condition of the circuit, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the secondary circuit of the substation. The target loop condition corresponding to the first circuit data of the first operating condition measurement point is determined in the first mapping relationship. The first mapping relationship includes the correspondence between at least one loop condition and the circuit data of at least one operating condition measurement point. The second mapping relationship determines the second monitoring point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring point. The second mapping relationship includes the correspondence between at least one circuit condition and the standard circuit data of at least one monitoring point. If the difference between the second circuit data and the target standard circuit data is greater than a preset threshold, the second monitoring point is determined as an abnormal monitoring point in the secondary circuit of the substation.

2. The method according to claim 1, characterized in that, Before determining the target loop condition corresponding to the first circuit data of the first operating condition measurement point in the first mapping relationship, the method further includes: Based on the electrical drawings of the substation's secondary circuits, determine the connection model of the substation's secondary circuits; For each circuit operating condition, the component attributes corresponding to each element in the substation secondary circuit connection model are set; When the substation secondary circuit connection model is operating normally under the circuit conditions, determine the fourth circuit data of at least one operating condition measurement point. The first mapping relationship is determined based on the data of each fourth circuit and the operating conditions of each loop.

3. The method according to claim 2, characterized in that, The step of determining the substation secondary circuit connection model based on the electrical drawings of the substation secondary circuit includes: Based on a preset element library, the electrical drawings are identified to determine at least one element in the electrical drawings and the element attributes corresponding to each element. A substation secondary circuit connection model is generated based on at least one graphic element and the graphic element attributes corresponding to each graphic element.

4. The method according to claim 2 or 3, characterized in that, The method further includes: For each circuit condition, when the substation secondary circuit connection model is operating normally under the circuit condition, determine the first standard circuit data of at least one monitoring point; The second mapping relationship is determined based on the data of each first standard circuit and the operating conditions of each loop.

5. The method according to claim 1, characterized in that, If the difference between the second circuit data and the target standard circuit data is greater than a preset threshold, the second monitoring point is determined as an abnormal monitoring point in the secondary circuit of the substation, including: Determine the difference between the second circuit data and the target standard circuit data; The second monitoring point whose difference is greater than the preset threshold is identified as an abnormal monitoring point in the secondary circuit of the substation.

6. The method according to claim 3, characterized in that, Based on a preset element library, the electrical drawing is identified to determine at least one element in the electrical drawing and the element attributes corresponding to each element, including: Obtain the image and text features of the electrical drawings; Based on the image features of the electrical drawing and a preset element library, at least one element in the electrical drawing is determined; Based on the text features of the electrical drawing, determine the element attributes corresponding to at least one element in the electrical drawing.

7. An anomaly detection device for a substation secondary circuit, characterized in that, include: The acquisition module is used to acquire the first circuit data of the first operating condition measuring point and the second circuit data of the first monitoring measuring point in the secondary circuit of the substation. The first operating condition measuring point is a measuring point used to indicate the operating condition of the circuit, and the first monitoring measuring point is a measuring point other than the first operating condition measuring point in the secondary circuit of the substation. The first determining module is used to determine the target loop condition corresponding to the first circuit data of the first operating condition measuring point in the first mapping relationship. The first mapping relationship includes the correspondence between at least one loop condition and the circuit data of at least one operating condition measuring point. The second determining module is used to determine the second monitoring point corresponding to the target circuit condition and the target standard circuit data corresponding to the second monitoring point in the second mapping relationship. The second mapping relationship includes the correspondence between at least one circuit condition and the standard circuit data of at least one monitoring point. The third determining module is used to determine the second monitoring point as an abnormal measuring point in the secondary circuit of the substation if the difference between the second circuit data and the target standard circuit data is greater than a preset threshold.

8. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-6.

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