CN118536043A - Abnormality detection method, device, electronic device and storage medium for substation equipment - Google Patents

Abstract

The embodiment of the application discloses an abnormality detection method and device of power transformation equipment, electronic equipment and a storage medium, and relates to the technical field of power electronics. The method comprises the following steps: the method comprises the steps of obtaining current running state data of each power transformation device by using a driving layer, and transmitting the current running state data of each power transformation device to a logic layer through an abstract interface of each power transformation device; detecting current running state data of the corresponding power transformation equipment by utilizing a logic layer according to the abnormality detection configuration conditions of the power transformation equipment so as to determine abnormal equipment from the power transformation equipment, generating an abnormality alarm according to the abnormal equipment and transmitting the abnormality alarm to a processing layer; and solving the abnormality of the abnormal equipment based on the abnormality alarm by using the processing layer. According to the technical scheme provided by the embodiment of the application, the abnormality detection function of the power transformation equipment is realized through the cooperative processing of the driving layer, the logic layer and the processing layer, and the efficiency and the accuracy of abnormality detection are improved, so that the safe and stable operation of the power system is ensured.

Description

Abnormality detection method, device, electronic device and storage medium for substation equipment

Technical Field

The embodiments of the present application relate to the field of power electronics technology, and in particular to a method, device, electronic device and storage medium for detecting abnormality of a substation.

Background Art

In the power system, transformers and circuit breakers are important substation equipment, and their normal operation is crucial to ensuring the stability and safety of the power system.

At present, the staff manually detects the operating status data of the substation equipment to identify abnormal equipment from the substation equipment. However, the method of relying on manual abnormality detection takes a long time to detect and cannot guarantee the accuracy of the detection, resulting in low efficiency and accuracy of abnormality detection, and may even affect the normal operation of the power system.

Summary of the invention

The embodiments of the present application provide a method, device, electronic device and storage medium for abnormality detection of substation equipment, which realize the abnormality detection function of substation equipment to solve the problem of low efficiency and accuracy of abnormality detection in the prior art due to reliance on manual abnormality detection.

In a first aspect, an embodiment of the present application provides an abnormality detection method for a substation, which is applied to an abnormality detection system. The abnormality detection system includes a driver layer, a logic layer, and a processing layer. The logic layer encapsulates an abstract interface corresponding to each substation. The method includes:

The driver layer is used to obtain the current operating status data of each substation, and the current operating status data of each substation is transmitted to the logic layer through the abstract interface of each substation;

The logic layer detects the current operation status data of the corresponding substation equipment according to the abnormal detection configuration conditions of each substation equipment, so as to determine the abnormal equipment from each substation equipment, generate abnormal alarm according to the abnormal equipment and transmit the abnormal alarm to the processing layer;

Use the processing layer to resolve abnormalities of abnormal devices based on abnormal alarms.

In an embodiment of the present application, the driver layer can be used to obtain the current operating status data of each substation, and the current operating status data of each substation can be passed to the logic layer through the abstract interface of each substation; the logic layer can be used to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation to determine the abnormal device from each substation, generate an abnormal alarm based on the abnormal device and pass the abnormal alarm to the processing layer; the processing layer can be used to resolve the abnormality of the abnormal device based on the abnormal alarm. In the above technical scheme, the driving layer can be used to obtain the current operating status data of each substation, and the current operating status data of each substation can be sent to the logic layer. Then, the logic layer can be used to detect the current operating status data of the corresponding substation based on the abnormal detection configuration conditions of each substation, so as to identify the abnormal device through the abnormal detection configuration conditions, and send the abnormal alarm generated based on the abnormal device to the processing layer. After that, the processing layer is used to handle the abnormal problems of the abnormal device. Through the data interaction between the driving layer, the logic layer and the processing layer, the abnormal detection function of the substation is realized, and through the collaborative processing of the driving layer, the logic layer and the processing layer, an intelligent means is provided for abnormal detection, without manual abnormal detection of the substation, shortening the time of abnormal detection, and improving the efficiency and accuracy of abnormal detection, thereby solving the problem of low efficiency and accuracy of abnormal detection due to reliance on manual abnormal detection in the prior art, thereby improving the stability of the power system and ensuring the safe and stable operation of the power system.

In a second aspect, an embodiment of the present application provides an abnormality detection device for a substation, which is applied to an abnormality detection system. The abnormality detection system includes a driving layer, a logic layer, and a processing layer. The logic layer encapsulates an abstract interface corresponding to each substation. The device includes:

An acquisition module is used to acquire the current operating status data of each substation using the driver layer, and transmit the current operating status data of each substation to the logic layer through the abstract interface of each substation;

The detection module is used to detect the current operation status data of the corresponding substation equipment according to the abnormal detection configuration conditions of each substation equipment by using the logic layer, so as to determine the abnormal equipment from each substation equipment, generate an abnormal alarm according to the abnormal equipment and transmit the abnormal alarm to the processing layer;

The processing module is used to solve the abnormality of the abnormal device based on the abnormal alarm by using the processing layer.

In a third aspect, an embodiment of the present application provides an electronic device, the electronic device comprising:

at least one processor; and a memory communicatively coupled to the at least one processor;

The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the abnormality detection method for substation equipment of any embodiment of the present application.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a processor to implement the abnormality detection method for substation equipment of any embodiment of the present application when executed.

The description of the second, third and fourth aspects in this application can refer to the detailed description of the first aspect; and the beneficial effects described in the second, third and fourth aspects can refer to the beneficial effect analysis of the first aspect, which will not be repeated here.

In this application, the name of the abnormality detection device of the above-mentioned substation equipment does not limit the equipment or functional module itself. In actual implementation, these equipment or functional modules may appear with other names. As long as the functions of each equipment or functional module are similar to those of this application, they belong to the scope of the claims of this application and their equivalent technologies.

These and other aspects of the present application will become more apparent from the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG1 is a flow chart of a method for detecting abnormality of a substation provided by an embodiment of the present application;

FIG2 is a schematic diagram of a structure of an anomaly detection system provided in an embodiment of the present application;

FIG3 is another flow chart of the abnormality detection method for power substation provided by an embodiment of the present application;

FIG4 is a schematic diagram of a structure of an abnormality detection device for a substation provided in an embodiment of the present application;

FIG5 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

It should be noted that the terms "first", "second", "target", and "original" in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including", "having", and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

FIG1 is a flow chart of a method for detecting anomalies of a substation provided in an embodiment of the present application. The present embodiment can be applied to a scenario where anomalies of various substations in a power system need to be detected. The method for detecting anomalies of a substation provided in the present embodiment can be performed by an anomaly detection device for a substation provided in an embodiment of the present application, and the device can be implemented in software and/or hardware. In a specific embodiment, the anomaly detection device for the substation can be integrated in an electronic device, and the electronic device has an anomaly detection system integrated therein. For example, the electronic device can be a computer, etc.

In a specific embodiment, the anomaly detection system is shown in Figure 2. The anomaly detection system shown in Figure 2 may include a driver layer, a logic layer and a processing layer; the driver layer is used to communicate with the substation equipment to obtain the operating status data of the substation equipment; the logic layer encapsulates the abstract interface corresponding to each substation equipment, and is used to perform anomaly detection on the operating status data of the substation equipment; the processing layer is used to handle abnormal situations of the substation equipment.

The following is a description of an abnormality detection method for a substation device provided by an embodiment of the present application in conjunction with the abnormality detection system shown in FIG2. The execution subject of the present method may be an abnormality detection system for an electronic device. Continuing to refer to FIG1, the abnormality detection method for a substation device in the present embodiment includes but is not limited to the following steps:

S110, using the driver layer to obtain the current operating status data of each substation, and transferring the current operating status data of each substation to the logic layer through the abstract interface of each substation.

Among them, substation equipment is an important part of the power system, which is mainly used to transform voltage, receive and distribute electric energy, control the flow of electricity and adjust voltage; substation equipment can include transformers, switches, four small devices, reactive devices and other auxiliary devices, such as surge arresters, insulators, high-voltage bushings, guide wires, grounding devices, secondary equipment and high-voltage DC equipment.

The current operating status data is various information generated by the substation during operation that can reflect its current working status; the current operating status data may include data such as voltage, current, temperature, humidity and operating time.

An abstract interface defines a set of specifications or conventions, which stipulates the behaviors or methods that a certain type of object should have, but does not provide a specific implementation; in the embodiment of the present application, the abstract interface is used to obtain and process the current operating status data of the substation equipment to realize the monitoring, control and data exchange functions of the substation equipment, so that the upper-layer application can interact with the substation equipment in a unified way without having to care about the underlying hardware and communication details. Exemplarily, the abstract interface of the substation equipment can be an instantiation of a method for obtaining real-time operating parameters such as voltage, current and power.

Optionally, the driver layer may be used to predefine the abstract interfaces of various substation equipment, and the abstract interfaces of various substation equipment may be encapsulated into the logic layer; each substation equipment type corresponds to one or more abstract interfaces.

Specifically, when it is necessary to perform abnormal detection on each substation in the power system, the driver layer can be used to obtain the current operating status data of each substation. For example, the driver layer can be used to develop corresponding device drivers for each type of substation in advance. These device drivers are used to communicate with the substation. Afterwards, the driver layer can be used to communicate with the substation through the corresponding device drivers to collect the current operating status data of each substation, such as the voltage, current, temperature, humidity and operating time of each substation. Afterwards, the driver layer can be used to pre-process the collected current operating status data, such as data cleaning and format conversion, to ensure the accuracy and consistency of the data.

Afterwards, the driver layer can be used to pass the current operating status data of each substation to the logic layer through the abstract interface of each substation. For example, the driver layer can be used to define an abstract interface for each substation in advance, and after the driver layer obtains the current operating status data of the substation, the current operating status data of the substation is passed to the logic layer through the abstract interface corresponding to the substation.

Optionally, the current operating status data of each substation equipment may be recorded and stored in a database.

S120, using the logic layer to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal device from each substation, generate an abnormal alarm according to the abnormal device and transmit the abnormal alarm to the processing layer.

The abnormality detection configuration condition is a judgment standard or condition set when performing abnormality detection on the substation equipment, which is used to judge whether the substation equipment is abnormal. Exemplarily, the abnormality detection configuration condition may include a threshold range of parameters such as voltage, current, temperature, etc., a change rate limit, and other specific logic rules.

Abnormal equipment refers to substation equipment that fails during operation or does not meet normal operating standards. These equipment may have performance degradation or failure due to hardware failure, software error, environmental factors or other reasons.

The abnormal alarm is the detailed information of the abnormality of the substation equipment, that is, the alarm or notification sent to the relevant personnel when the abnormality of the substation equipment is detected.

Optionally, the abnormal alarm can be presented in at least one of sound, light, text message and email, aiming to remind relevant personnel to pay attention to abnormal situations and take corresponding treatment measures. Abnormal alarm is of great significance for timely discovery and treatment of faults in substation equipment. Through abnormal alarm, relevant personnel can quickly understand the location, type and severity of abnormal equipment, and then take corresponding measures to troubleshoot or respond to the fault, so as to reduce the impact of the fault on the power system, thereby ensuring the safe and stable operation of the power system.

Specifically, the logic layer can be used to receive the current operating status data of each substation from the driver layer through an abstract interface, and the logic layer can be used to obtain the abnormal detection configuration conditions of each substation, such as the threshold range, change rate limit and other specific logic rules of parameters such as voltage, current, temperature, etc.; thereafter, the logic layer can be used to compare and analyze the current operating status data of the corresponding substation item by item according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal device from each substation, for example, it can be detected whether the voltage exceeds the threshold range and whether the temperature rises abnormally.

Specifically, if the current operating status data of the substation equipment meets the abnormal conditions in the abnormal detection configuration conditions, it indicates that the substation equipment is in an abnormal operating state. At this time, the substation equipment can be determined as an abnormal device; otherwise, the substation equipment can be determined as a normal device, and continue to detect whether other substation equipment is normal, so as to determine the abnormal device from each substation equipment.

After determining the abnormal device, the logic layer can be used to generate an abnormal alarm based on the substation equipment. For example, the abnormal alarm may include key information such as the identification of the abnormal device, the abnormal data value, and the time of the abnormal occurrence, so as to subsequently resolve the abnormality of the abnormal device; thereafter, the logic layer can be used to transmit the abnormal alarm to the processing layer through the internal communication mechanism. For example, the internal communication mechanism can be a message queue, an event bus, or a function call.

Optionally, after obtaining the abnormal device, the current operating status data of the abnormal device, the abnormal detection configuration conditions of the abnormal device and the abnormal alarm corresponding to the abnormal device can be stored in the historical fault record for user viewing and subsequent troubleshooting and system optimization.

S130. Utilize the processing layer to resolve the abnormality of the abnormal device based on the abnormal alarm.

Specifically, the processing layer can be used to receive the exception alarm sent by the logic layer, and analyze the exception alarm to determine the type and severity of the exception. Then, the exception handling strategy can be determined according to the type and severity of the exception, such as automatically restarting the device, adjusting device parameters, or notifying maintenance personnel. After that, the processing layer can be used to handle the exception based on the exception handling strategy. For example, the corresponding exception handling strategy can be executed through the control interface or by directly communicating with the abnormal device, or a corresponding maintenance task or notification can be generated to notify the maintenance personnel to handle the exception.

The technical solution of the embodiment of the present application can utilize the driver layer to obtain the current operating status data of each substation, and transmit the current operating status data of each substation to the logic layer through the abstract interface of each substation; utilize the logic layer to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal device from each substation, generate an abnormal alarm according to the abnormal device and transmit the abnormal alarm to the processing layer; utilize the processing layer to resolve the abnormality of the abnormal device based on the abnormal alarm. In the above technical scheme, the driving layer can be used to obtain the current operating status data of each substation, and the current operating status data of each substation can be sent to the logic layer. Then, the logic layer can be used to detect the current operating status data of the corresponding substation based on the abnormal detection configuration conditions of each substation, so as to identify the abnormal device through the abnormal detection configuration conditions, and send the abnormal alarm generated based on the abnormal device to the processing layer. After that, the processing layer is used to handle the abnormal problems of the abnormal device. Through the data interaction between the driving layer, the logic layer and the processing layer, the abnormal detection function of the substation is realized, and through the collaborative processing of the driving layer, the logic layer and the processing layer, an intelligent means is provided for abnormal detection, without manual abnormal detection of the substation, shortening the time of abnormal detection, and improving the efficiency and accuracy of abnormal detection, thereby solving the problem of low efficiency and accuracy of abnormal detection due to reliance on manual abnormal detection in the prior art, thereby improving the stability of the power system and ensuring the safe and stable operation of the power system.

The following further describes a method for detecting abnormality of a substation provided by an embodiment of the present application, and Figure 3 is another flow chart of the method for detecting abnormality of a substation provided by an embodiment of the present application. The present embodiment is optimized based on the above embodiments.

Referring to FIG3 , the method of this embodiment includes but is not limited to the following steps:

Optionally, the anomaly detection system may further include an interaction layer; before using the driver layer to obtain the current operating status data of each substation, it also includes: using the interaction layer to obtain the anomaly detection configuration conditions of each substation, and passing the anomaly detection configuration conditions of each substation to the logic layer. The acquisition function of the anomaly detection configuration conditions is realized through the interaction layer, and the anomaly detection configuration conditions can be customized for each substation, which improves the accuracy and effectiveness of anomaly detection, thereby ensuring the safe and stable operation of the power system.

Optionally, the abnormal detection configuration conditions may include a preset value range and a preset time threshold; the preset value range is a preset value range, used to represent the normal value range of the operating status data of the substation equipment, which can be used to determine whether the substation equipment is in a normal operating state, and the user can adjust and set the preset value range according to actual usage requirements, and the embodiments of the present application do not make specific limitations on this; the preset time threshold is a preset numerical value, used to represent the duration of time that the operating status data of the substation equipment is not within the preset value range, that is, the duration of abnormal fluctuations in the operating status data, and can be used to determine whether the substation equipment is in a normal operating state, and the user can adjust and set the preset time threshold according to actual usage requirements, and the embodiments of the present application do not make specific limitations on this. Exemplarily, when the substation equipment is a transformer, the preset value range of the transformer voltage may be [90 volts, 110 volts], and the preset time threshold may be 60 seconds, that is, the abnormal detection configuration condition corresponding to the transformer voltage may be that the voltage value is not within [90 volts, 110 volts], and the duration of not being within [90 volts, 110 volts] exceeds 60 seconds.

S301. Obtain historical operating status data of each substation equipment.

The historical operating status data refers to the operating status data of the substation equipment over a period of time in the past, and may include data such as voltage, current, temperature, humidity and operating time.

Specifically, the historical operating status data of each electrical device can be obtained. For example, various sensors and monitoring devices, such as voltage sensors, current sensors, temperature sensors, and vibration sensors, can be installed on the substation equipment in advance to monitor the operating status data of the substation equipment in real time. The sensors and monitoring devices then transmit the collected operating status data to the abnormality detection system. The abnormality detection system can then store the operating status data of each substation equipment in a database, thereby directly obtaining the historical operating status data of each substation equipment from the database; or, in the judgment logic of the previous moment, after obtaining the current operating status data of each substation equipment using the driver layer, the current operating status data of each substation equipment can be recorded (that is, the current operating status data at the previous moment is the historical operating status data at the current moment), and stored in the database, thereby directly obtaining the historical operating status data of each substation equipment from the database.

S302: Determine recommended detection conditions for the substation equipment based on historical operation status data of each substation equipment.

The recommended detection conditions are detection conditions determined by an analysis algorithm based on the historical operating status data of the substation equipment; the recommended detection conditions can ensure the safe operation of the substation equipment and prevent potential failures; one substation equipment can correspond to one or more recommended detection conditions. Optionally, the recommended detection conditions can include a preset value range and a preset time threshold.

Specifically, after obtaining the historical operating status data of each substation, any substation can be selected as the current substation, and the historical operating status data of the current substation can be analyzed by using time series analysis technology (such as the Autoregressive Integrated Moving Average model (ARIMA) or the Long Short-Term Memory (LSTM) and other deep learning models), and the key features of the data are extracted to capture the time series characteristics and change rules of the historical operating status data, and obtain the data distribution and fluctuation range when the current substation is in normal operation. Then, based on the historical fault records, the common fault modes of the current substation and their corresponding operating status characteristics are identified, and according to the fault mode analysis results, which parameters need to be focused on, and the corresponding detection thresholds are set. Then, based on the analysis results, the recommended detection conditions of the current substation are formulated, including the preset value range and the preset time threshold. After that, other substations can be selected as the current substation, and the above process can be repeated to obtain the recommended detection conditions of each substation.

S303: Utilize the interaction layer to obtain the detection condition selected from the recommended detection conditions to obtain the abnormality detection configuration condition.

Specifically, after obtaining the recommended detection conditions of each substation, the recommended detection conditions of each substation can be displayed on the interactive layer for users to view and select the recommended detection conditions; then, the user can select appropriate detection conditions from the recommended detection conditions according to the actual situation and needs of each substation. At this time, the abnormality detection system can use the interactive layer to obtain the detection conditions selected by the user for the corresponding substation from the recommended detection conditions of each substation, obtain the abnormality detection configuration conditions of the corresponding substation, and thus obtain the abnormality detection configuration conditions of each substation. Then, S311 can be executed.

Optionally, parameter information of each substation and a detection configuration condition input box of each substation may be displayed at the interactive layer; the parameter information may include device name, device identification, device type, and operating area.

S304: Utilize the interaction layer to obtain initial detection configuration conditions of each substation.

The initial detection configuration condition is the detection configuration condition input by the user in the interactive layer, that is, the information input in the detection configuration condition input box. Optionally, the initial detection configuration condition may include a preset value range and a preset time threshold.

Specifically, any substation equipment can be selected as the current substation equipment. Then, the user can enter information in the detection configuration condition input box corresponding to the current substation equipment according to the actual situation and needs of the current substation equipment. At this time, the abnormality detection system can use the interactive layer to obtain the information entered by the user in the detection configuration condition input box corresponding to the current substation equipment, and obtain the initial detection configuration condition of the current substation equipment; thereafter, other substation equipment can be selected as the current substation equipment, and the above process can be repeated to obtain the initial detection configuration conditions of each substation equipment.

S305: Obtain historical operating status data of each substation equipment.

The implementation process and technical principle of S305 are the same as those of S301, and will not be described in detail here.

S306: Determine the detection and verification conditions for the substation equipment based on the historical operation status data of each substation equipment.

The detection verification condition is a detection configuration condition determined according to the historical operation status data of the substation equipment, and is used to verify whether the initial detection configuration condition input by the user is accurate. Optionally, the detection verification condition may include a preset value range and a preset time threshold.

It should be noted that the detection and verification conditions of the same substation equipment are the same as the recommended detection conditions in S302, that is, the steps for determining the detection and verification conditions of each substation equipment are the same as the steps for determining the recommended detection conditions of each substation equipment in S302, and will not be repeated here.

S307: Verify the initial detection configuration conditions based on the detection verification conditions.

Specifically, after obtaining the detection and verification conditions of each substation equipment, the initial detection configuration conditions of the corresponding substation equipment can be verified according to the detection and verification conditions to determine whether the initial detection configuration conditions of the corresponding substation equipment are accurate, that is, the preset value range in the initial detection configuration conditions of the corresponding substation equipment can be verified according to the preset value range in the detection and verification conditions, and the preset aging threshold in the initial detection configuration conditions of the corresponding substation equipment can be verified according to the preset aging threshold in the detection and verification conditions.

S308: Determine whether the initial detection configuration condition passes the test.

Specifically, any substation equipment can be selected as the current substation equipment, and the detection and verification conditions of the current substation equipment can be compared with the initial detection configuration conditions of the current substation equipment; if the preset value ranges in the detection and verification conditions and the initial detection configuration conditions are the same, and the preset time thresholds in the detection and verification conditions and the initial detection configuration conditions are the same, then it indicates that the initial detection configuration conditions are accurate, that is, the initial detection configuration conditions have passed the inspection, and S309 can be executed at this time; if the preset value ranges in the detection and verification conditions and the initial detection configuration conditions are different, the preset time thresholds in the detection and verification conditions and the initial detection configuration conditions are different, or the preset value ranges and the preset time thresholds in the detection and verification conditions and the initial detection configuration conditions are different, then it indicates that the initial detection configuration conditions are inaccurate, that is, the initial detection configuration conditions have not passed the inspection, and S310 can be executed at this time.

S309: When the initial detection configuration condition passes the test, the initial detection configuration condition is determined as an abnormal detection configuration condition.

Specifically, when the initial detection configuration condition passes the verification, it indicates that the initial detection configuration condition input by the user is accurate, and then the initial detection configuration condition that passes the verification can be determined as the abnormality detection configuration condition corresponding to the electrical device. Then, S311 can be executed.

S310: When the initial detection configuration condition fails the inspection, the revised initial detection configuration condition is determined as the abnormal detection configuration condition.

Specifically, when the initial detection configuration conditions fail to pass the inspection, the substation equipment corresponding to the initial detection configuration conditions that failed the inspection (recorded as condition-abnormal equipment) can be obtained, and abnormal information can be generated. The abnormal information is then displayed on the interactive layer to inform the user that the initial detection configuration conditions of these condition-abnormal equipment are wrong. Then, the detection verification conditions corresponding to these condition-abnormal equipment are displayed on the interactive layer for the user to select appropriate detection conditions from the detection verification conditions.

Afterwards, any condition abnormal device can be selected as the current condition abnormal device, and then the user can select appropriate detection conditions from the detection and verification conditions of the current condition abnormal device according to the actual situation and needs of the current condition abnormal device, and then the abnormality detection system can obtain the detection conditions selected by the user and determine them as the revised initial detection configuration conditions, and then determine the revised initial detection configuration conditions as the abnormality detection configuration conditions of the current condition abnormal device; afterward, other condition abnormal devices can be selected as the current condition abnormal device, and the above process can be repeated to obtain the abnormality detection configuration conditions of each condition abnormal device. Afterwards, S311 can be executed.

It should be noted that there is no obvious order in which S301 to S303 and S304 to S310 are executed. The order of execution can be determined according to actual conditions, and this embodiment does not make any specific limitation on this.

S311. Use the interaction layer to transfer the abnormal detection configuration conditions of each substation to the logic layer.

Specifically, after the abnormality detection configuration conditions of each substation are obtained, the abnormality detection configuration conditions of each substation can be transferred to the logic layer through the internal communication mechanism using the interaction layer.

S312: Utilize the driver layer to obtain the current operating status data of each substation, and transmit the current operating status data of each substation to the logic layer through the abstract interface of each substation.

The implementation process and technical principle of S312 are the same as those of S110, and will not be described in detail here.

Optionally, the logic layer may include a storage unit and a detection unit; the storage unit is used to store the abnormal detection configuration conditions, current operating status data and equipment attribute information of each substation equipment; the equipment attribute information may include equipment identification and abnormal data values, etc.; the detection unit is used to detect the current operating status data of the corresponding substation equipment according to the abnormal detection configuration conditions of each substation equipment.

Optionally, the interaction layer can be used to transfer the abnormal detection configuration conditions of each substation to the storage unit of the logic layer; the driver layer can be used to transfer the current operating status data of each substation to the storage unit of the logic layer through the abstract interface of each substation.

S313. Using the detection unit to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal device from each substation, and generate an abnormal alarm according to the device attribute information of the abnormal device.

Specifically, after obtaining the current operating status data of each substation, the detection unit can be used to obtain the abnormal detection configuration conditions and current operating status data of each substation from the storage unit, and the current operating status data of the corresponding substation can be detected according to the abnormal detection configuration conditions of each substation to determine the abnormal device from each substation; thereafter, the detection unit can be used to obtain the device attribute information of the abnormal device from the storage unit, such as the device identification and abnormal data value, and generate an abnormal alarm based on the device attribute information of the abnormal electrical device, that is, the abnormal alarm can include the device identification and abnormal data value of the abnormal device.

Further, the detection unit of the logic layer is used to detect the current operation status data of the corresponding substation according to the abnormal detection configuration conditions of each substation to determine the abnormal device from each substation, including:

Sa1. Use the detection unit to determine whether the value of the current operating status data of each substation is within the corresponding preset value range.

Specifically, the detection unit can be used to determine whether the value of the current operating status data of each substation is within the corresponding preset value range, that is, any substation can be selected as the current substation. If the value of the current operating status data of the current substation is not within the corresponding preset value range, it indicates that the current substation may be abnormal. At this time, Sa2 can be executed to further determine whether the current substation is an abnormal device; if the value of the current operating status data of the current substation is within the corresponding preset value range, it indicates that the current substation is not abnormal and is in normal operating state. At this time, it can be determined that the current substation is a normal device; thereafter, other substations can be selected as the current substation, and the above judgment process can be repeated.

Sa2. Determine the substation equipment whose current operating status data value is not within the corresponding preset value range as a candidate equipment, and determine the value deviation duration of the candidate equipment.

The candidate device is a substation device that may be abnormal, that is, a substation device whose current operating status data value is not within the corresponding preset value range.

The value deviation duration is the duration during which the value of the current operating status data of the candidate device is not within the corresponding preset value range.

Specifically, when the value of the current operating status data is not within the corresponding preset value range, the substation equipment corresponding to the current operating status data can be determined as a candidate equipment, and the value of the current operating status data of the candidate equipment can be monitored in real time to determine the duration that the value of the current operating status data is not within the corresponding preset value range, and the value deviation duration of the candidate equipment can be obtained.

Sa3. Determine the candidate device whose value deviation duration exceeds the corresponding preset time threshold as an abnormal device.

Specifically, after obtaining the value deviation duration of the candidate device, it can be determined whether the value deviation duration of the candidate device exceeds the corresponding preset time threshold. If the value deviation duration of the candidate device exceeds the corresponding preset time threshold, it indicates that the candidate device is abnormal and is in an abnormal operating state. At this time, the candidate device whose value deviation duration exceeds the corresponding preset time threshold can be determined as an abnormal device; if the value deviation duration of the candidate device does not exceed the corresponding preset time threshold, it indicates that there is no abnormality in the candidate device and is in a normal operating state.

Exemplarily, when the substation equipment is a transformer, the preset value range of the transformer voltage is [90 volts, 110 volts], and the preset aging threshold is 60 seconds, if the voltage of transformer 1 is 70 volts, the voltage of transformer 2 is 100 volts, and the voltage of transformer 3 is 130 volts, then transformer 1 and transformer 3 are candidate equipment; thereafter, if the voltage of transformer 1 is at 70 volts for 120 seconds and the voltage of transformer 3 is at 130 volts for 20 seconds, then transformer 1 is an abnormal equipment.

In an embodiment of the present application, when the substation equipment is in normal operating state, the value of the current operating status data tends to a stable range, while in different application scenarios and under different energy consumption requirements, the operating range of the current operating status data may be different. Therefore, through the dual judgment of the preset value range and the preset time threshold, misjudgment caused by instantaneous interference or temporary fluctuations is avoided, thereby improving the accuracy of determining abnormal equipment and the reliability of abnormal detection results, thereby ensuring the safe and stable operation of the power system.

S314. Use the detection unit to transmit the abnormal alarm to the processing layer.

Specifically, after the abnormal alarm is obtained, the detection unit may be used to transmit the abnormal alarm to the processing layer through an internal communication mechanism. At this time, the abnormal alarm may include device attribute information of the abnormal device.

S315. Determine abnormal devices based on abnormal alarms using the processing layer.

Specifically, the processing layer can be used to receive the abnormal alarm sent by the detection unit, and parse the abnormal alarm to obtain the device attribute information in the abnormal alarm, which includes the device identification and abnormal data value of the abnormal device; then, the processing layer can be used to determine the abnormal device based on the device identification.

S316. Start the automatic recovery program of the abnormal device and monitor the automatic recovery result.

The automatic recovery program is a series of predefined operations used to try to automatically recover from the fault of an abnormal device; illustratively, the automatic recovery program may include fault isolation and recovery, black start program, and parameter reset.

The automatic recovery result is the effect or result after the automatic recovery program is executed; the automatic recovery result may include failure and success.

Specifically, the processing layer can be used to determine the abnormal type and severity of the abnormal device according to the abnormal data value of the abnormal device, and start different automatic recovery programs according to the abnormal type and severity, such as fault isolation and recovery, black start program and parameter reset, etc., and monitor the automatic recovery result of the automatic recovery program in real time, that is, when the problem of the abnormal device still exists or the program execution fails, the automatic recovery result is failure; when the problem of the abnormal device is solved, the automatic recovery result is success.

S317: Determine whether the automatic recovery result is a failure.

Specifically, after obtaining the automatic recovery result, it can be determined whether the automatic recovery result is a failure; if the automatic recovery result is a failure, it indicates that the automatic recovery program cannot solve the problem of the abnormal device, and S318 can be executed at this time; otherwise, it indicates that the automatic recovery program has solved the problem of the abnormal device, and S301 or S304 can be executed at this time to continue to execute the judgment logic at the next moment.

S318: When the automatic recovery result is failure, an abnormal alarm is sent to the management terminal.

Among them, the management terminal is a system or platform for monitoring and managing substation equipment; the management terminal can receive information such as abnormal alarms of substation equipment and provide a user interface for operators to perform equipment monitoring, configuration and management operations.

Specifically, when the automatic recovery result is a failure, an exception alarm can be sent to the management terminal for the user to view and handle the exception; thereafter, the management terminal can receive the exception alarm and display the exception alarm in text form for the user to view detailed exception information, or remind the user with a specific sound to remind the user to handle the exception in time.

Optionally, during the entire recovery process, the status of abnormal devices can be continuously monitored to ensure the effectiveness and safety of the recovery operation; at the same time, all relevant warnings, recovery operations and results will be recorded in detail in the log for subsequent analysis, optimization and troubleshooting.

The technical solution of the embodiment of the present application can obtain the historical operating status data of each substation equipment, and determine the recommended detection conditions for the corresponding substation equipment based on the historical operating status data of each substation equipment, and then use the interaction layer to obtain the detection conditions selected from the recommended detection conditions to obtain the abnormal detection configuration conditions, and determine the abnormal detection configuration conditions by selecting the recommended detection conditions, thereby realizing the determination function of the abnormal detection configuration conditions, and the user can select the appropriate detection conditions from the recommended detection conditions according to the actual situation of the substation equipment, thereby improving the accuracy of determining the abnormal detection configuration conditions, providing a test standard for subsequent abnormal detection, and providing users with precise services; in addition, the interaction layer can be used to obtain the initial detection configuration conditions of each substation equipment, and obtain the abnormal detection configuration conditions of each substation equipment. The historical operation status data of each substation equipment is then used to determine the detection and verification conditions of the corresponding substation equipment based on the historical operation status data of each substation equipment, and the initial detection configuration conditions are verified based on the detection and verification conditions. When the initial detection configuration conditions pass the test, the initial detection configuration conditions are determined as the abnormal detection configuration conditions; when the initial detection configuration conditions do not pass the test, the revised initial detection configuration conditions are determined as the abnormal detection configuration conditions, thereby realizing the determination function of the abnormal detection configuration conditions. By correcting the initial detection configuration conditions through the detection and verification conditions, the accuracy of determining the abnormal detection configuration conditions is improved, thereby avoiding the low accuracy of the initial detection configuration conditions input by the user affecting the determination of subsequent abnormal devices, and providing a verification standard for subsequent abnormal detection.

Afterwards, the interaction layer can be used to pass the abnormal detection configuration conditions of each substation to the logic layer, and then the driver layer can be used to obtain the current operating status data of each substation, and the current operating status data of each substation can be passed to the logic layer through the abstract interface of each substation, ensuring the timeliness and accuracy of the data. Then, the detection unit of the logic layer is used to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal device from each substation, and the abnormal device can be accurately determined. Then, an abnormal alarm is generated according to the device attribute information of the abnormal device, which improves the accuracy and reliability of the abnormal alarm. Through the coordinated processing of the detection units and storage units in the interaction layer, the driver layer, and the logic layer, the efficiency and accuracy of determining the abnormal device are improved, thereby ensuring the safety and stability of the power system. Operation, and through the allocation and use of data resources, the performance of the anomaly detection system can be ensured, and energy consumption and costs can be reduced; thereafter, the detection unit can be used to transmit the anomaly alarm to the processing layer, and then the processing layer can be used to determine the abnormal device based on the anomaly alarm, and start the automatic recovery program of the abnormal device. The automatic recovery program realizes the automatic processing of the anomaly, and improves the accuracy and response speed of the anomaly processing. Then, the automatic recovery result is monitored, and when the automatic recovery result is a failure, an anomaly alarm is sent to the management terminal, which can ensure that the operation and maintenance personnel can understand the abnormal situation in time. Through the combination of the automatic recovery program and the timely alarm mechanism, a quick response can be made when an anomaly occurs, and the normal operation of the substation equipment can be restored as much as possible, which greatly improves the reliability and availability of the power system and reduces the power system interruption or loss caused by equipment failure.

FIG4 is a schematic diagram of a structure of an abnormality detection device for a substation device provided in an embodiment of the present application. Referring to FIG4 , the abnormality detection device for a substation device may include:

The acquisition module 410 is used to acquire the current operation status data of each substation by using the driver layer, and transmit the current operation status data of each substation to the logic layer through the abstract interface of each substation;

The detection module 420 is used to detect the current operation status data of the corresponding substation equipment according to the abnormal detection configuration conditions of each substation equipment by using the logic layer, so as to determine the abnormal equipment from each substation equipment, generate an abnormal alarm according to the abnormal equipment and transmit the abnormal alarm to the processing layer;

The processing module 430 is used to solve the abnormality of the abnormal device based on the abnormal alarm by using the processing layer.

In one embodiment, the abnormality detection system also includes an interaction layer, and the abnormality detection device of the substation equipment also includes a configuration condition acquisition module, which is specifically used to: before using the driving layer to obtain the current operating status data of each substation equipment, use the interaction layer to obtain the abnormality detection configuration conditions of each substation equipment, and pass the abnormality detection configuration conditions of each substation equipment to the logic layer.

In one embodiment, the configuration condition acquisition module uses the interaction layer to obtain the abnormal detection configuration conditions of each substation, including: obtaining the historical operating status data of each substation; determining the recommended detection conditions for the corresponding substation based on the historical operating status data of each substation; using the interaction layer to obtain the detection conditions selected from the recommended detection conditions to obtain the abnormal detection configuration conditions.

In one embodiment, a configuration condition acquisition module utilizes an interactive layer to acquire abnormal detection configuration conditions for each substation, including: utilizing the interactive layer to acquire initial detection configuration conditions for each substation; acquiring historical operating status data for each substation; determining detection verification conditions for corresponding substations based on the historical operating status data for each substation; verifying the initial detection configuration conditions based on the detection verification conditions; when the initial detection configuration conditions pass the test, determining the initial detection configuration conditions as abnormal detection configuration conditions, and when the initial detection configuration conditions fail the test, determining the revised initial detection configuration conditions as abnormal detection configuration conditions.

In one embodiment, the abnormal detection configuration conditions include a preset value range and a preset time threshold. The detection module 420 uses the logic layer to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation to determine the abnormal device from each substation, including: using the logic layer to determine whether the value of the current operating status data of each substation is within the corresponding preset value range; determining the substation whose current operating status data is not within the corresponding preset value range as a candidate device, and determining the value deviation time of the candidate device; determining the candidate device whose value deviation time exceeds the corresponding preset time threshold as an abnormal device.

In one embodiment, the logic layer includes a storage unit and a detection unit, the storage unit is used to store the abnormal detection configuration conditions, current operating status data and equipment attribute information of each substation, and the detection module 420 uses the logic layer to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal equipment from each substation, and generate an abnormal alarm according to the abnormal equipment, including: using the detection unit to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal equipment from each substation, and generate an abnormal alarm according to the equipment attribute information of the abnormal equipment.

In one embodiment, the processing module 430 is specifically used to: use the processing layer to determine abnormal devices based on abnormal alarms; start the automatic recovery program of the abnormal device and monitor the automatic recovery result; when the automatic recovery result is a failure, send an abnormal alarm to the management terminal.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the functional modules described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

The abnormality detection device for substation equipment provided in this embodiment can be applied to the abnormality detection method for substation equipment provided in any of the above embodiments, and has corresponding functions and beneficial effects.

FIG5 is a schematic diagram of a structure of an electronic device provided in an embodiment of the present application. FIG5 shows a block diagram of an exemplary electronic device 11 suitable for implementing the embodiments of the present application. The electronic device 11 shown in FIG5 is only an example and should not bring any limitation to the functions and scope of use of the present embodiment.

As shown in Fig. 5, the electronic device 11 is in the form of a general computing electronic device. The components of the electronic device 11 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

The electronic device 11 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 11, including volatile and non-volatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and/or cache memory 32. The electronic device 11 may further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media (not shown in FIG. 5 , commonly referred to as a “hard drive”). Although not shown in FIG. 5 , a disk drive for reading and writing a removable non-volatile disk (such as a “floppy disk”) and an optical disk drive for reading and writing a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM or other optical medium) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present application.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.

The electronic device 11 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 11, and/or may communicate with any device that enables the electronic device 11 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed through an input/output (I/O) interface 22. Furthermore, the electronic device 11 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through a network adapter 20.

As shown in Fig. 5, the network adapter 20 communicates with other modules of the electronic device 11 via the bus 18. It should be understood that, although not shown in Fig. 5, other hardware and/or software modules may be used in conjunction with the electronic device 11, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

The processing unit 16 executes various functional applications and page displays by running the program stored in the system memory 28, for example, to implement an abnormality detection method for a substation provided in this embodiment, which is applied to an abnormality detection system. The abnormality detection system includes a driver layer, a logic layer and a processing layer. The logic layer encapsulates an abstract interface corresponding to each substation. The method includes: using the driver layer to obtain the current operating status data of each substation, and passing the current operating status data of each substation to the logic layer through the abstract interface of each substation; using the logic layer to detect the current operating status data of the corresponding substation according to the abnormal detection configuration conditions of each substation, so as to determine the abnormal device from each substation, generate an abnormal alarm according to the abnormal device and pass the abnormal alarm to the processing layer; using the processing layer to resolve the abnormality of the abnormal device based on the abnormal alarm.

Of course, those skilled in the art can understand that the processor can also implement the technical solution of the abnormality detection method of the substation equipment provided in any embodiment of the present application.

An embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, for example, a method for detecting abnormalities in a substation device provided in any embodiment of the present application is implemented.

The computer storage medium of this embodiment can adopt any combination of one or more computer-readable media. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, computer-readable storage media can be any tangible medium containing or storing programs, which can be used by instruction execution systems, devices or devices or used in combination with them.

Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operation of the present application can be written in one or more programming languages or combinations thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

It should be understood by those skilled in the art that the above modules or steps of the present application can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

In addition, the acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the inventive concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims (10)

1. The utility model provides an unusual detection method of transformer equipment, is characterized in that is applied to unusual detection system, unusual detection system includes drive layer, logical layer and processing layer, logical layer encapsulates the abstract interface that corresponds of each transformer equipment, and the method includes:

Acquiring current running state data of each power transformation device by using the driving layer, and transmitting the current running state data of each power transformation device to the logic layer through an abstract interface of each power transformation device;

Detecting current running state data of the corresponding power transformation equipment according to the abnormality detection configuration conditions of the power transformation equipment by utilizing the logic layer to determine abnormal equipment from the power transformation equipment, generating an abnormality alarm according to the abnormal equipment and transmitting the abnormality alarm to the processing layer;

and solving the abnormality of the abnormal equipment based on the abnormality alarm by utilizing the processing layer.

2. The abnormality detection method of power transformation devices according to claim 1, wherein the abnormality detection system further includes an interaction layer that, before acquiring current operation state data of the respective power transformation devices with the driving layer, further includes:

And acquiring the abnormal detection configuration conditions of each power transformation device by using the interaction layer, and transmitting the abnormal detection configuration conditions of each power transformation device to the logic layer.

3. The abnormality detection method of power transformation devices according to claim 2, wherein the acquiring, with the interaction layer, abnormality detection configuration conditions of the respective power transformation devices includes:

acquiring historical operation state data of each power transformation device;

determining recommended detection conditions of the corresponding power transformation equipment based on the historical running state data of the power transformation equipment;

and acquiring detection conditions selected from the recommended detection conditions by using the interaction layer to obtain the abnormal detection configuration conditions.

4. The abnormality detection method of power transformation devices according to claim 2, wherein the acquiring, with the interaction layer, abnormality detection configuration conditions of the respective power transformation devices includes:

acquiring initial detection configuration conditions of all the power transformation devices by using the interaction layer;

acquiring historical operation state data of each power transformation device;

determining detection and verification conditions of the corresponding power transformation equipment based on the historical operation state data of each power transformation equipment;

checking the initial detection configuration condition based on the detection checking condition;

And when the initial detection configuration condition passes the inspection, determining the initial detection configuration condition as the abnormal detection configuration condition, and when the initial detection configuration condition does not pass the inspection, determining the corrected initial detection configuration condition as the abnormal detection configuration condition.

5. The abnormality detection method of power transformation equipment according to claim 1, wherein the abnormality detection configuration conditions include a preset value range and a preset aging threshold, the detecting, with the logic layer, current operation state data of the corresponding power transformation equipment according to the abnormality detection configuration conditions of the respective power transformation equipment to determine an abnormality equipment from the respective power transformation equipment includes:

judging whether the value of the current running state data of each power transformation device is in a corresponding preset value range or not by utilizing the logic layer;

determining power transformation equipment with the value of the current running state data not in a corresponding preset value range as candidate equipment, and determining the value deviation time length of the candidate equipment;

And determining the candidate equipment with the value deviation time length exceeding the corresponding preset aging threshold as the abnormal equipment.

6. The abnormality detection method of power transformation devices according to claim 1, wherein the logic layer includes a storage unit and a detection unit, the storage unit is configured to store abnormality detection configuration conditions, current operation state data, and device attribute information of the respective power transformation devices, the detecting, with the logic layer, the current operation state data of the respective power transformation devices according to the abnormality detection configuration conditions of the respective power transformation devices to determine an abnormality device from the respective power transformation devices, and generating an abnormality alert according to the abnormality device, includes:

And detecting current operation state data of the corresponding power transformation equipment according to the abnormality detection configuration conditions of the power transformation equipment by using the detection unit so as to determine abnormal equipment from the power transformation equipment, and generating the abnormality alarm according to equipment attribute information of the abnormal equipment.

7. The abnormality detection method of the power transformation device according to claim 1, characterized in that the solving of the abnormality device based on the abnormality alert by the processing layer includes:

determining, with the processing layer, the abnormal device based on the abnormal alert;

starting an automatic recovery program of the abnormal equipment and monitoring an automatic recovery result;

and when the automatic recovery result is failure, sending the abnormal alarm to the management terminal.

8. An anomaly detection device of power transformation equipment, which is characterized by being applied to an anomaly detection system, wherein the anomaly detection system comprises a driving layer, a logic layer and a processing layer, wherein the logic layer is packaged with abstract interfaces corresponding to all the power transformation equipment, and the device comprises:

The acquisition module is used for acquiring the current running state data of each power transformation device by using the driving layer and transmitting the current running state data of each power transformation device to the logic layer through the abstract interface of each power transformation device;

the detection module is used for detecting the current running state data of the corresponding power transformation equipment according to the abnormality detection configuration conditions of the power transformation equipment by utilizing the logic layer so as to determine abnormal equipment from the power transformation equipment, generate an abnormality alarm according to the abnormal equipment and transmit the abnormality alarm to the processing layer;

and the processing module is used for solving the abnormality of the abnormal equipment based on the abnormality alarm by utilizing the processing layer.

9. An electronic device, the electronic device comprising:

At least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the abnormality detection method of the power transformation device according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer instructions for causing a processor to execute the abnormality detection method of the power transformation device according to any one of claims 1 to 7.