Anomaly detection methods, devices, electronic equipment and storage media

Abstract

This application discloses an anomaly detection method, apparatus, electronic device, and storage medium. The method includes: acquiring the current state measurement information of an isolating switch and obtaining the switch's state information from the previous moment; predicting the isolating switch's state prediction information at the current moment based on the previous moment's state information; determining the current state information of the isolating switch based on the current state measurement information and the current moment's state prediction information; and generating and issuing an anomaly alarm when the current state information matches a preset anomaly condition. In other words, the solution of this application ensures the accuracy of isolating switch state determination, thereby accurately detecting the isolating switch's location, avoiding misjudgments by maintenance personnel that could lead to distribution faults in the power distribution network, and improving the safety of isolating switch operation.

Description

Technical Field

[0001] This application relates to the field of high-voltage switchgear technology, and in particular to an anomaly detection method, device, electronic equipment, and storage medium. Background Technology

[0002] High-voltage switchgear is a crucial component of power distribution networks. The primary equipment within the switchgear mainly includes busbars, isolating switches (or disconnectors), circuit breakers, and current transformers. When power grid maintenance personnel perform power outages or restorations on high-voltage switchgear, they need to check the position of the isolating switches and determine if their opening and closing positions are properly configured to ensure safe power outages or restorations. For example, if the isolating switch is not properly closed (i.e., the moving and stationary contacts are not making good contact), the contact resistance between the isolating switch contacts will increase significantly after power is restored, causing abnormal heating and potentially threatening equipment health and increasing the frequency of unnecessary power outages.

[0003] Currently, after operating the isolating switch, the position status check mainly relies on the visual judgment of the maintenance personnel to determine whether the isolating switch is in the correct opening or closing position.

[0004] However, due to the limited space inside high-voltage switchgear, the primary equipment layout is quite compact. Therefore, maintenance personnel often make misjudgments during observation due to visual limitations, leading to distribution faults in the power distribution network and increasing the manpower and material resources consumed in the distribution process. Summary of the Invention

[0005] This application provides an anomaly detection method, device, electronic device, and storage medium to solve the problem in the prior art where the limited space inside the high-voltage switchgear results in a compact layout of primary equipment, leading to errors in judgment by maintenance personnel due to visual differences and other issues. This causes distribution faults in the power distribution process and increases the manpower and material resources consumed in the power distribution process.

[0006] Firstly, this application provides an anomaly detection method, the method comprising:

[0007] The current status measurement information of the isolating switch is collected, and the status information of the isolating switch at the previous moment is obtained; wherein, the previous moment is the moment before the current moment and the time difference between the current moment and the current moment is a preset duration;

[0008] Predict the state prediction information of the isolating disconnector at the current moment based on the disconnector state information of the previous moment;

[0009] Based on the current state measurement information and the current state prediction information, determine the current state information of the isolating disconnector.

[0010] When the current disconnector status information matches the preset disconnector abnormality conditions, an abnormality alarm is generated and an alarm is triggered.

[0011] Secondly, this application provides an anomaly detection device, comprising:

[0012] The acquisition module is used to collect the current status measurement information of the isolating switch and to acquire the switch status information of the previous moment of the isolating switch; wherein, the previous moment is the moment before the current moment and the time difference between the current moment and the current moment is a preset duration;

[0013] The prediction module is used to predict the state prediction information of the isolating disconnector at the current moment based on the disconnector state information of the previous moment.

[0014] The status determination module is used to determine the current status information of the isolating disconnector based on the current status measurement information and the current status prediction information.

[0015] The alarm module is used to generate an abnormal alarm message and issue an alarm when the current disconnector status information matches the preset disconnector abnormal conditions.

[0016] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the anomaly detection method as described in any embodiment of this application.

[0017] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the anomaly detection method as described in any embodiment of this application.

[0018] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the anomaly detection method as described in any embodiment of this application.

[0019] The proposed solution collects the current status measurement information of the isolating switch and obtains the status information of the isolating switch from the previous moment. The previous moment is defined as the moment preceding the current moment with a time difference of a preset duration. Based on the previous moment's status information, the proposed status information of the isolating switch at the current moment is predicted. Based on the current status measurement information and the predicted status information, the current status information of the isolating switch is determined. When the current status information matches a preset abnormal condition, an abnormal alarm is generated and triggered. In other words, the proposed solution, on the one hand, detects the current status of the isolating switch and predicts its current status based on the position information of the isolating switch from the previous moment. Then, the actual status information of the switch is determined by combining the predicted and detected values, thereby ensuring the accuracy of the isolating switch status determination and accurately detecting its position, thus improving the safety of isolating switch operation. On the other hand, the status of the isolating switch is used to determine whether there is any abnormality in the status of the isolating switch, thereby avoiding the situation where maintenance personnel can only observe the status of the isolating switch manually. This prevents maintenance personnel from making incorrect judgments that could lead to distribution failures in the power distribution process, and further improves the safety of the power distribution process. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating the anomaly detection method provided in this application;

[0022] Figure 2 This is another flowchart illustrating the anomaly detection method provided in this application;

[0023] Figure 3 This is a schematic diagram of the anomaly detection device provided in this application;

[0024] Figure 4 This is a schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] Figure 1 This is a flowchart illustrating an anomaly detection method provided in this application. This method can be executed by the anomaly detection device provided in this application, which can be implemented using software and / or hardware. In a specific embodiment, the device can be integrated into an electronic device. For example, the device can be integrated into a computer. The following embodiments will illustrate this using the integration of the device into an electronic device as an example. (Reference) Figure 1 The method may specifically include the following steps:

[0028] Step 101: Collect the current status measurement information of the isolating switch and obtain the switch status information of the previous moment.

[0029] The previous moment is the moment before the current moment and the time difference between the previous moment and the current moment is a preset duration.

[0030] Specifically, the current state of the isolating switch refers to its surface morphology, surface temperature, and switch position. State measurement information refers to information obtained by measuring the state of the isolating switch. For example, state measurement information could be the distance between the moving and stationary contacts of the isolating switch measured by an ultrasonic sensor, which can be used to determine the switch position. The state information of the isolating switch at the previous moment refers to the state information of the isolating switch at a time before the current moment, with a preset time difference between the current moment and the previous moment. This could include the surface morphology, surface temperature, and switch position of the isolating switch at the previous moment. Acquiring the current state measurement information of the isolating switch can be achieved by the electronic device executing this embodiment sending a acquisition request to the acquisition device, which then returns the acquired state information to the electronic device executing this embodiment. Alternatively, the acquisition device can acquire the current state information of the isolating switch and then send that information to the electronic device executing this embodiment; this solution does not limit this approach. The electronic device executing this embodiment determines the status information of the isolating switch once every preset time interval. Therefore, obtaining the status information of the isolating switch at the previous moment is equivalent to obtaining the status information of the isolating switch determined at the previous current moment.

[0031] For example, the current state measurement information of the isolating switch is collected as the distance between the moving contact and the stationary contact of the isolating switch, indicating that the switch is in position A. The state information of the isolating switch at the previous moment is obtained as the switch is in position B.

[0032] Step 102: Predict the state prediction information of the isolating switch at the current moment based on the switch state information of the previous moment.

[0033] Specifically, state prediction information refers to the predicted state information of the isolating switch at the current moment. After obtaining the state information of the isolating switch at the previous moment, the state prediction information of the isolating switch at the current moment is predicted based on the state information of the isolating switch at the previous moment. For example, based on the state information of the isolating switch at the previous moment and historical experience, the state information of the isolating switch at the next moment after the previous moment in historical experience is determined as the state prediction information of the isolating switch at the current moment.

[0034] Optionally, predicting the state of the isolating switch at the current moment based on the switch state information of the previous moment can be achieved through steps 21 to 22.

[0035] Step 21: Determine the state transition information of the isolating switch at the current moment based on the switch state information of the previous moment and the preset state transition equation.

[0036] Specifically, the preset state transition equation is obtained by applying the Kalman filter algorithm to the disconnector detection system. This preset state transition equation describes the changes that occur in the disconnector from the previous moment to a moment after a preset time interval. Therefore, based on the disconnector's state information at the previous moment and the preset state transition equation, the state transition information of the disconnector at the current moment can be determined.

[0037] Step 22: Determine the state prediction information at the current moment based on the state transition information and the preset measurement noise matrix.

[0038] Specifically, measurement errors exist when collecting the state information of the isolating switch. The preset measurement noise matrix is ​​a pre-obtained matrix used to characterize the measurement errors present when collecting the isolating switch's state information. After determining the state transition information of the isolating switch at the current moment based on the switch's state information from the previous moment and the preset state transition equation, the measurement error of the isolating switch from the previous moment needs to be considered. Therefore, the state transition information also needs to be corrected based on the preset measurement noise matrix to improve the accuracy of the predicted state information for the current moment.

[0039] For example, the preset state transition equation can be represented by Equation 1.

[0040] x pred(k) =A k-1 x est(k-1) +ω k Formula 1

[0041] Where, x pred(k) For the current state prediction information, A k-1 Let x be the preset state transition matrix of the preset state transition equation. est(k-1) ω represents the switch status information from the previous moment. k A preset sensor measurement noise matrix is ​​used. Therefore, the predicted state information of the isolating switch at the current moment can be determined using the switch's state information from the previous moment and the preset state transition equation. The switch's state information from the previous moment can be represented by the switch's state vector from the previous moment, as shown in Formula 2.

[0042]

[0043] Where, p est(k-1) The position of the isolating switch at the previous moment can be represented by the opening and closing angle of the isolating switch, v. est(k-1) The speed at which the isolating switch rotates at the previous moment, i.e., the opening and closing speed of the isolating switch, can be expressed as angular velocity.

[0044] Step 103: Determine the current state information of the isolating switch based on the current state measurement information and the current state prediction information.

[0045] Specifically, after obtaining the current state measurement information and the current state prediction information, the current state information of the isolating switch is determined based on these two information. For example, the weights of the current state measurement information and the current state prediction information in determining the current state information are determined based on historical experience. Then, the current state information of the isolating switch is determined based on these weights. The current state information of the isolating switch, determined through this process, is derived from both the current state measurement information and the current state prediction information, avoiding errors that can easily be caused by relying on a single piece of information and further improving the accuracy of the switch state determination.

[0046] Optionally, after executing steps 21 to 22, the current state information of the isolating switch can be determined by steps 31 to 33 based on the current state measurement information and the current state prediction information.

[0047] Step 31: Obtain the uncertainty prediction value of the previous moment, and determine the uncertainty prediction value of the current moment based on the uncertainty prediction value of the previous moment and the preset noise covariance matrix.

[0048] Specifically, the uncertainty prediction value is a quantitative indicator used to characterize the degree of uncertainty accompanying the prediction. An initial uncertainty prediction value is preset, and this value continuously changes from the initial time to the previous time. The uncertainty prediction value for the previous time is obtained when the disconnector status information is acquired. The preset noise covariance matrix is ​​calculated based on a preset sensor measurement noise matrix. The uncertainty prediction value for the current time is determined based on the uncertainty prediction value for the previous time and the preset noise covariance matrix, and can be used to characterize the accuracy of the disconnector status information at the current time.

[0049] For example, the process of determining the uncertain prediction value at the current moment can be achieved through Equation 3.

[0050] P pred(k) =P k-1 +Q Formula 3

[0051] Among them, P pred(k) Let P be the uncertain predicted value at the current moment. k-1 is the predicted value of uncertainty at the previous moment, and Q is the preset noise covariance matrix.

[0052] Step 32: Determine the target gain based on the current uncertainty prediction value and the preset measurement noise matrix.

[0053] Specifically, the target gain is the Kalman gain that needs to be modified according to the usage process when using the Kalman algorithm. The target gain is determined based on the current uncertainty prediction value and the preset measurement noise matrix. This means that when determining the current disconnector status information, the current uncertainty prediction value and the preset measurement noise matrix are taken into account, thereby improving the reliability of the current disconnector status information.

[0054] For example, the process of determining the target gain based on the current uncertainty prediction value and the preset measurement noise matrix can be as shown in Equation 4.

[0055]

[0056] Among them, K k For the target gain, P pred(k) Let ω be the uncertain predicted value at the current moment. k This is a preset measurement noise matrix.

[0057] Step 33: Determine the current state information of the isolating switch based on the current state measurement information, the current state prediction information, and the target gain.

[0058] Specifically, after obtaining the target gain, the current state measurement information, the current state prediction information, and the target gain are used to determine the current state information of the isolating switch. This allows the electronic device executing this embodiment to consider the current state measurement information, the current state prediction information, the current uncertainty prediction value, and the preset measurement noise matrix when determining the current state information of the isolating switch based on the current state measurement information, the current state prediction information, and the target gain, thereby improving the accuracy and reliability of the current state information of the isolating switch.

[0059] For example, the process of determining the current state information of the isolating switch based on the current state measurement information, the current state prediction information, and the target gain can be as shown in Formula 5.

[0060] x est(k) =x pred(k) +K k ·(z k -xpred(k) ) Formula 5

[0061] Where, x est(k) x represents the current status information of the disconnector. pred(k) For the current state prediction information, K k For the target gain, z k This provides the state measurement information for the current moment.

[0062] At the next moment after the current moment, the uncertainty prediction value at the current moment can be corrected to further improve the accuracy of the state determination at the next moment. By taking the current moment as the previous moment and the next moment as the current moment, returning to step 101, the state information of the disconnector at the next moment can be obtained. Repeating this process completes the detection of all state information during the opening and closing of the disconnector. The correction of the uncertainty prediction value at the current moment can be achieved using Formula 6.

[0063] P est(k) = (1-K) k )P pred(k) Formula 6

[0064] Among them, P est(k) K represents the corrected prediction of the uncertainty at the current moment. k For the target gain, P pred(k) This represents the current time-indetermined uncertainty prediction value before correction.

[0065] Step 104: When the current disconnector status information matches the preset disconnector abnormality conditions, generate abnormal alarm information and issue an alarm.

[0066] Specifically, the preset disconnect switch abnormality condition refers to the condition that determines the disconnect switch is in an abnormal state. For example, the preset disconnect switch abnormality condition could be that the surface temperature of the disconnect switch exceeds 50°C. After obtaining the current disconnect switch status information, if the current disconnect switch status information matches the preset disconnect switch abnormality condition, that is, if the current disconnect switch status information meets the preset disconnect switch abnormality condition, then an abnormality alarm is generated and an alarm is triggered. The abnormality alarm information can include the current disconnect switch status information and the matching preset disconnect switch abnormality condition, facilitating handling by personnel. Alarm methods can include sending alarm information to the personnel's user equipment, illuminating alarm lights, and emitting a buzzer sound.

[0067] For example, the preset abnormal condition of the disconnect switch is that the surface temperature of the disconnect switch is greater than 50°C. The current status information of the disconnect switch is that the surface temperature of the disconnect switch is 60°C. At this time, an alarm message is generated that includes the preset abnormal condition of the disconnect switch being that the surface temperature of the disconnect switch is greater than 50°C and the surface temperature of the disconnect switch being 60°C. The alarm message is then sent to the user equipment of the staff.

[0068] Optionally, the disconnector status information includes at least one of the disconnector's position information, disconnector's temperature information, and disconnector's shape information. Preset disconnector abnormal conditions include a mismatch between the disconnector's position and a preset position, a disconnector's temperature being greater than or equal to a preset alarm temperature, and a disconnector's shape not matching a preset shape. Generating and issuing an abnormal alarm when the current disconnector status information matches the preset disconnector abnormal conditions can be achieved through steps 41 to 43.

[0069] Step 41: When the position information of the isolating switch does not match the preset position of the isolating switch after the isolating switch opens or closes, generate an abnormal alarm information based on the position information of the isolating switch and issue an alarm.

[0070] Specifically, the preset position of the isolating switch refers to its position under normal conditions, such as the position after the isolating switch has opened or closed. If the position information of the isolating switch does not match its preset position, it indicates that the isolating switch did not reach the preset position after either opening or closing. In this case, an abnormal alarm is generated and triggered based on the isolating switch's position information to prevent power distribution from proceeding when the isolating switch is not fully open or closed, thus avoiding power distribution accidents.

[0071] Step 42: When the temperature information of the isolating switch indicates that the temperature of the isolating switch is greater than or equal to the preset alarm temperature of the isolating switch, generate abnormal alarm information based on the temperature information of the isolating switch and issue an alarm.

[0072] Specifically, the preset alarm temperature refers to the temperature at which the isolating switch malfunctions. For example, the preset alarm temperature could be 40°C. When the temperature information of the isolating switch indicates that the temperature of the isolating switch is greater than or equal to the preset alarm temperature, it indicates that the isolating switch is malfunctioning, causing the temperature to rise. For example, the temperature of the isolating switch may rise when power is applied due to incomplete closing. In this case, an abnormal alarm message is generated and an alarm is triggered based on the temperature information of the isolating switch.

[0073] Step 43: When the shape information of the isolating switch indicates that the shape of the isolating switch does not match the preset shape of the isolating switch, generate an abnormal alarm information based on the shape information of the isolating switch and issue an alarm.

[0074] Specifically, the preset form refers to the form of the isolating switch when it is working normally. For example, when the isolating switch is working normally, the surface is smooth and flat without foreign objects. When the form information of the isolating switch does not match the preset form, it indicates that there are foreign objects on the surface of the isolating switch. At this time, powering on may cause the isolating switch to malfunction. Therefore, at this time, an abnormal alarm message is generated and an alarm is triggered based on the form information of the isolating switch.

[0075] The proposed solution collects the current status measurement information of the isolating switch and obtains the status information of the isolating switch from the previous moment. The previous moment is defined as the moment preceding the current moment with a time difference of a preset duration. Based on the previous moment's status information, the proposed status information of the isolating switch at the current moment is predicted. Based on the current status measurement information and the predicted status information, the current status information of the isolating switch is determined. When the current status information matches a preset abnormal condition, an abnormal alarm is generated and triggered. In other words, the proposed solution, on the one hand, detects the current status of the isolating switch and predicts its current status based on the position information of the isolating switch from the previous moment. Then, the actual status information of the switch is determined by combining the predicted and detected values, thereby ensuring the accuracy of the isolating switch status determination and accurately detecting its position, thus improving the safety of isolating switch operation. On the other hand, the status of the isolating switch is used to determine whether there is any abnormality in the status of the isolating switch, thereby avoiding the situation where maintenance personnel can only observe the status of the isolating switch manually. This prevents maintenance personnel from making incorrect judgments that could lead to distribution failures in the power distribution process, and further improves the safety of the power distribution process.

[0076] Figure 2 This is another flowchart illustrating the anomaly detection method provided in this application. This embodiment... Figure 1 Based on the illustrated embodiments and various optional implementation schemes, the steps for collecting the current state measurement information of the isolating switch are described in detail when the state measurement information includes the temperature data, distance data, point cloud data, and image data of the isolating switch. For example... Figure 2 As shown, the method may include the following steps:

[0077] Step 201: Collect the temperature data of the isolating switch sent by the infrared detection device at the current moment, the distance data of the isolating switch sent by the ultrasonic detection device at the current moment, the point cloud data of the isolating switch sent by the laser detection device at the current moment, and the image data of the isolating switch sent by the visible light detection device at the current moment.

[0078] Specifically, the status measurement information includes temperature data, distance data, point cloud data, and image data of the isolating switch. The infrared detection device can be an infrared sensor; collecting the temperature data of the isolating switch transmitted by the infrared detection device at the current moment is equivalent to collecting the temperature data of the isolating switch transmitted by the infrared sensor at the current moment. The ultrasonic detection device can be an ultrasonic sensor; collecting the distance data of the isolating switch transmitted by the ultrasonic detection device at the current moment is equivalent to collecting the distance data of the isolating switch transmitted by the ultrasonic sensor at the current moment. The distance data is used to characterize the position information of the isolating switch. For example, by measuring the distance between the stationary contact and the ultrasonic sensor, and the distance between the moving contact and the ultrasonic sensor, the distance between the stationary and moving contacts of the isolating switch can be determined, thereby determining the position information of the isolating switch. The laser detection device can be a laser sensor; collecting the point cloud data of the isolating switch transmitted by the laser detection device at the current moment is equivalent to collecting the point cloud data of the isolating switch transmitted by the laser sensor at the current moment. The point cloud data of the isolating switch can characterize the surface morphology and switching status of the isolating switch through a three-dimensional point cloud. The visible light detection device can be a visible light camera. The image data of the isolating switch transmitted by the visible light detection device at the current moment is the same as the image data of the isolating switch transmitted by the visible light camera at the current moment. The image data of the isolating switch can characterize the surface morphology and switching status of the isolating switch based on the image.

[0079] Optionally, infrared detection devices, ultrasonic detection devices, laser detection devices, and visible light detection devices are all installed directly in front of the isolating switch.

[0080] Specifically, an infrared detection device is installed directly in front of the disconnect switch to ensure that temperature data from all locations on the switch's surface can be simultaneously acquired. An ultrasonic detection device is also installed directly in front of the switch to ensure accurate measurement of the positional relationship between the various parts of the disconnect switch and the ultrasonic detection device. A laser detection device is installed directly in front of the switch to scan and acquire the contour data of the switch's front surface using a laser beam, facilitating monitoring of the switch's status. A visible light detection device is installed directly in front of the disconnect switch to facilitate acquisition of the switch's operational status.

[0081] Optionally, the temperature data of the isolating switch includes the surface temperature of the isolating switch, the rate of change of the surface temperature of the isolating switch, and the hot spot area of ​​the isolating switch; the distance data of the isolating switch includes the distance between the stationary contact and the moving contact of the isolating switch, the rate of change of the distance between the stationary contact and the moving contact, and the surface reflection signal intensity of the isolating switch; the point cloud data of the isolating switch includes the three-dimensional point cloud data of the isolating switch, the surface features of the isolating switch, the distance information between the isolating switch and the laser detection device, and the shape information of the isolating switch; the image data of the isolating switch includes the visible image data of the isolating switch, the edge features of the isolating switch, and the color information of the isolating switch.

[0082] Specifically, the surface temperature of the isolating switch refers to the temperature value of its surface. The surface temperature change rate is the rate at which the surface temperature of the isolating switch changes over time, used to characterize the temperature change trend. For example, a high surface temperature change rate indicates a rapid change in surface temperature over time, suggesting an anomaly in the surface temperature. The hot spot area of ​​the isolating switch refers to the area where the surface temperature is higher than a preset temperature. For example, if there is a foreign object on the surface of the isolating switch, and the temperature in the area where the foreign object is located is higher than the preset temperature, then that area is a hot spot area. The distance between the stationary and moving contacts of the isolating switch characterizes the open or closed state of the isolating switch. The rate of change of the distance between the stationary and moving contacts characterizes whether there are any abnormalities during the opening or closing process of the isolating switch. The surface reflection signal intensity of the isolating switch characterizes whether there are foreign objects on the surface of the isolating switch. For example, when there are no foreign objects on the surface of the isolating switch, the surface reflection signal intensity should be consistent due to the same surface material. The three-dimensional point cloud data of the isolating switch refers to three-dimensional point cloud data containing the spatial coordinates of the points of the isolating switch. The surface features of the isolating switch are the geometric features extracted from point cloud data, such as the edges and planes of the isolating switch. Distance information between the isolating switch and the laser detection device is used to characterize the closed or open state of the isolating switch. The morphological information of the isolating switch characterizes its angles and orientations. Visual image data of the isolating switch characterizes its surface morphology; edge features indicate whether there is damage to the edges; and color information is used to analyze the status of the isolating switch to determine its surrounding environment, facilitating the location of the isolating switch when an anomaly is detected.

[0083] Step 202: Obtain the disconnector status information of the disconnector at the previous moment.

[0084] Step 203: Predict the state prediction information of the isolating switch at the current moment based on the switch state information of the previous moment.

[0085] Step 204: Determine the current state information of the isolating switch based on the current state measurement information and the current state prediction information.

[0086] Step 205: When the current disconnector status information matches the preset disconnector abnormality conditions, generate abnormal alarm information and issue an alarm.

[0087] The solution in this application, when the status measurement information includes the temperature data, distance data, point cloud data, and image data of the isolating switch, collects the status of the isolating switch using infrared detection devices, ultrasonic detection devices, laser detection devices, and visible light detection devices. The status measurement information obtained by processing the multiple pieces of information collected by these multiple detection devices improves the accuracy of the status measurement information, thereby improving the accuracy of the switch status information determined through the status measurement information and status prediction information. This further enhances the accuracy of detecting the position of the isolating switch and improves the safety of isolating switch operation.

[0088] Figure 3 This is a schematic diagram of the anomaly detection device provided in this application, which is suitable for performing the anomaly detection method provided in this application. Figure 3 As shown, the device may specifically include:

[0089] The acquisition module 301 is used to acquire the current status measurement information of the isolating switch and acquire the switch status information of the previous moment of the isolating switch; wherein, the previous moment is the moment before the current moment and the time difference between the current moment and the current moment is a preset duration;

[0090] Prediction module 302 is used to predict the state prediction information of the isolating switch at the current moment based on the switch state information of the previous moment.

[0091] The state determination module 303 is used to determine the current state information of the isolating disconnector based on the current state measurement information and the current state prediction information.

[0092] The alarm module 304 is used to generate an abnormal alarm message and issue an alarm when the current disconnector status information matches the preset disconnector abnormal conditions.

[0093] In one embodiment, the status measurement information acquired by module 301 includes temperature data of the isolating switch, distance data of the isolating switch, point cloud data of the isolating switch, and image data of the isolating switch. Specifically, in acquiring the status measurement information of the isolating switch at the current moment, module 301 is used to: acquire the temperature data of the isolating switch sent by the infrared detection device at the current moment, the distance data of the isolating switch sent by the ultrasonic detection device at the current moment, the point cloud data of the isolating switch sent by the laser detection device at the current moment, and the image data of the isolating switch sent by the visible light detection device at the current moment.

[0094] In one embodiment, the infrared detection device, the ultrasonic detection device, the laser detection device, and the visible light detection device of the acquisition module 301 are all installed in front of the isolation switch.

[0095] In one embodiment, the temperature data of the isolation switch acquired by module 301 includes the surface temperature of the isolation switch, the rate of change of the surface temperature of the isolation switch, and the hot spot area of ​​the isolation switch; the distance data of the isolation switch includes the distance between the stationary contact and the moving contact of the isolation switch, the rate of change of the distance between the stationary contact and the moving contact, and the surface reflection signal intensity of the isolation switch; the point cloud data of the isolation switch includes the three-dimensional point cloud data of the isolation switch, the surface features of the isolation switch, the distance information between the isolation switch and the laser detection device, and the shape information of the isolation switch; the image data of the isolation switch includes the visible image data of the isolation switch, the edge features of the isolation switch, and the color information of the isolation switch.

[0096] In one embodiment, the prediction module 302 is specifically used to: determine the state transition information of the isolating switch at the current moment based on the switch state information of the previous moment and a preset state transition equation; and determine the state prediction information at the current moment based on the state transition information and a preset measurement noise matrix.

[0097] In one embodiment, the state determination module 303 is specifically used to: obtain the uncertainty prediction value of the previous moment, and determine the uncertainty prediction value of the current moment based on the uncertainty prediction value of the previous moment and a preset noise covariance matrix; determine the target gain based on the uncertainty prediction value of the current moment and the preset measurement noise matrix; and determine the current moment disconnector state information of the disconnector based on the current moment state measurement information, the current moment state prediction information, and the target gain.

[0098] In one embodiment, the disconnector status information of the alarm module 304 includes at least one of the location information of the disconnector, the temperature information of the disconnector, and the shape information of the disconnector. The preset disconnector abnormal conditions include the disconnector position not matching the preset position of the disconnector, the temperature of the disconnector being greater than or equal to the preset alarm temperature of the disconnector, and the shape of the disconnector not matching the preset shape of the disconnector. The alarm module 304 is specifically used to: when the location information of the disconnector indicates that the disconnector has completed its opening action, or the... After the isolating switch closing operation is completed, if the position of the isolating switch does not match its preset position, an abnormal alarm message is generated and an alarm is triggered based on the position information of the isolating switch; if the temperature information of the isolating switch indicates that the temperature of the isolating switch is greater than or equal to the preset alarm temperature of the isolating switch, an abnormal alarm message is generated and an alarm is triggered based on the temperature information of the isolating switch; if the shape information of the isolating switch indicates that the shape of the isolating switch does not match its preset shape, an abnormal alarm message is generated and an alarm is triggered based on the shape information of the isolating switch.

[0099] The device of this application collects the current state measurement information of the isolating switch and obtains the switch state information of the previous moment. The previous moment is a moment preceding the current moment with a time difference of a preset duration. Based on the switch state information of the previous moment, the device predicts the state of the isolating switch at the current moment. Based on the current state measurement information and the current state prediction information, the device determines the current state of the isolating switch. When the current state of the isolating switch matches a preset abnormal condition, an abnormal alarm is generated and triggered. In other words, the solution of this application, on the one hand, detects the current state of the isolating switch and predicts its current state based on the position information of the isolating switch at the previous moment. Then, the actual state information of the switch is determined by combining the predicted value and the detected value, thereby ensuring the accuracy of the isolating switch state determination, accurately detecting the position of the isolating switch, and improving the safety of isolating switch operation. On the other hand, the status of the isolating switch is used to determine whether there is any abnormality in the status of the isolating switch, thereby avoiding the situation where maintenance personnel can only observe the status of the isolating switch manually. This prevents maintenance personnel from making incorrect judgments that could lead to distribution failures in the power distribution process, and further improves the safety of the power distribution process.

[0100] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the anomaly detection method provided in any of the above embodiments.

[0101] This application also provides a computer-readable medium having a computer program stored thereon, which, when executed by a processor, implements the anomaly detection method provided in any of the above embodiments.

[0102] The following is for reference. Figure 4 It shows a schematic diagram of the structure of an electronic device 400 suitable for implementing the present application. Figure 4 The electronic device shown is merely an example and should not impose any limitations on the functionality and scope of this application.

[0103] like Figure 4 As shown, the electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage section 408 into a random access memory (RAM) 403. The RAM 403 also stores various programs and data required for the operation of the electronic device 400. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0104] The following components are connected to I / O interface 405: an input section 406 including a keyboard, mouse, etc.; an output section 407 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN card, modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to I / O interface 405 as needed. A removable medium 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 410 as needed so that computer programs read from it can be installed into storage section 408 as needed.

[0105] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit (CPU) 401, it performs the functions defined above in the system of this application.

[0106] It should be noted that the computer-readable medium shown in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0107] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0108] The modules and / or units described in this application can be implemented in software or hardware. The described modules and / or units can also be housed in a processor; for example, a processor can be described as including an acquisition module, a prediction module, a status determination module, and an alarm module. The names of these modules do not necessarily limit the module itself.

[0109] In another aspect, this application also provides a computer-readable medium, which may be included in the device described in the above embodiments; or it may exist alone and not assembled into the device. The computer-readable medium carries one or more programs, which, when executed by the device, cause the device to include:

[0110] The system collects the current status measurement information of the isolating switch and obtains the status information of the isolating switch at the previous moment. The previous moment is the moment before the current moment with a time difference of a preset duration. Based on the status information of the isolating switch at the previous moment, the system predicts the status information of the isolating switch at the current moment. Based on the current status measurement information and the current status prediction information, the system determines the current status information of the isolating switch. When the current status information of the isolating switch matches the preset abnormal conditions of the isolating switch, an abnormal alarm is generated and an alarm is triggered.

[0111] According to the solution of this application, the current state measurement information of the isolating switch is collected, and the state information of the isolating switch at the previous moment is obtained; wherein, the previous moment is the moment before the current moment and the time difference between the current moment and the current moment is a preset duration; the state prediction information of the isolating switch at the current moment is predicted based on the state information of the isolating switch at the previous moment; the current state information of the isolating switch is determined based on the current state measurement information and the current state prediction information; when the current state information of the isolating switch matches the preset abnormal conditions of the isolating switch, an abnormal alarm information is generated and an alarm is triggered. That is, the solution of this application, on the one hand, detects the state of the isolating switch at the current moment, and predicts the state of the isolating switch at the current moment based on the position information of the isolating switch at the previous moment, and then determines the actual state information of the switch based on the predicted value and the detected value, thereby ensuring the accuracy of the determination of the state of the isolating switch, thereby accurately detecting the position of the isolating switch and improving the safety of the operation of the isolating switch. On the other hand, the status of the isolating switch is used to determine whether there is any abnormality in the status of the isolating switch, thereby avoiding the situation where maintenance personnel can only observe the status of the isolating switch manually. This prevents maintenance personnel from making incorrect judgments that could lead to distribution failures in the power distribution process, and further improves the safety of the power distribution process.

[0112] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the anomaly detection method provided in any embodiment of this application.

[0113] In the implementation of the computer program product, computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via 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., via the Internet using an Internet service provider).

[0114] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0115] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An anomaly detection method, characterized in that, include: The current status measurement information of the isolating switch is collected, and the status information of the isolating switch at the previous moment is obtained; wherein, the previous moment is the moment before the current moment and the time difference between the current moment and the current moment is a preset duration; the status measurement information includes the temperature data of the isolating switch, the distance data of the isolating switch, the point cloud data of the isolating switch, and the image data of the isolating switch; Predict the state prediction information of the isolating disconnector at the current moment based on the disconnector state information of the previous moment; Based on the current state measurement information and state prediction information, and the weight information corresponding to the current state measurement information and state prediction information, the current state information of the isolating switch is determined; wherein, the weight information is determined by historical experience. When the current disconnector status information matches the preset disconnector abnormality conditions, an abnormality alarm is generated and an alarm is triggered. The step of predicting the state prediction information of the isolating switch at the current moment based on the switch state information of the previous moment includes: The state transition information of the isolating switch at the current moment is determined based on the switch state information of the previous moment and the preset state transition equation; wherein, the preset state transition equation is a state transition equation obtained in advance by applying the Kalman filter algorithm in the switch detection system; The state prediction information at the current moment is determined based on the state transition information and the preset measurement noise matrix; The step of determining the current state information of the isolating switch based on the current state measurement information and the current state prediction information includes: Obtain the uncertainty prediction value of the previous moment, and determine the uncertainty prediction value of the current moment based on the uncertainty prediction value of the previous moment and the preset noise covariance matrix. The target gain is determined based on the uncertainty prediction value at the current moment and the preset measurement noise matrix; The current state information of the isolating disconnector is determined based on the current state measurement information, the current state prediction information, and the target gain. The current status measurement information of the isolating switch includes: The system collects temperature data of the isolating switch sent by an infrared detection device at the current moment, distance data of the isolating switch sent by an ultrasonic detection device at the current moment, point cloud data of the isolating switch sent by a laser detection device at the current moment, and image data of the isolating switch sent by a visible light detection device at the current moment.

2. The method according to claim 1, characterized in that, The infrared detection device, the ultrasonic detection device, the laser detection device, and the visible light detection device are all installed directly in front of the isolating switch.

3. The method according to claim 1, characterized in that, The temperature data of the isolating switch includes the surface temperature of the isolating switch, the surface temperature change rate of the isolating switch, and the hot spot area of ​​the isolating switch; The distance data of the isolating switch includes the distance between the stationary contact and the moving contact of the isolating switch, the rate of change of the distance between the stationary contact and the moving contact, and the surface reflection signal intensity of the isolating switch; The point cloud data of the isolation switch includes the three-dimensional point cloud data of the isolation switch, the surface features of the isolation switch, the distance information between the isolation switch and the laser detection device, and the shape information of the isolation switch. The image data of the isolating switch includes the visible image data of the isolating switch, the edge features of the isolating switch, and the color information of the isolating switch.

4. The method according to claim 1, characterized in that, The disconnector status information includes at least one of the disconnector's position information, the disconnector's temperature information, and the disconnector's shape information. The preset disconnector abnormal conditions include the disconnector's position not matching the preset position of the disconnector, the disconnector's temperature being greater than or equal to the disconnector's preset alarm temperature, and the disconnector's shape not matching the disconnector's preset shape. When the current disconnector status information matches a preset disconnector abnormality condition, an abnormality alarm is generated and an alarm is triggered, including: When the position information of the isolating switch indicates that the position of the isolating switch does not match the preset position of the isolating switch after the isolating switch opens or closes, an abnormal alarm message is generated and an alarm is triggered based on the position information of the isolating switch. When the temperature information of the isolating switch indicates that the temperature of the isolating switch is greater than or equal to the preset alarm temperature of the isolating switch, an abnormal alarm information is generated and an alarm is triggered based on the temperature information of the isolating switch. When the shape information of the isolating switch indicates that the shape of the isolating switch does not match the preset shape of the isolating switch, an abnormal alarm message is generated and an alarm is triggered based on the shape information of the isolating switch.

5. An anomaly detection device, characterized in that, include: The acquisition module is used to collect the current status measurement information of the isolating switch and acquire the switch status information of the previous moment; wherein, the previous moment is the moment before the current moment and the time difference between the current moment and the current moment is a preset duration; the status measurement information includes the temperature data of the isolating switch, the distance data of the isolating switch, the point cloud data of the isolating switch, and the image data of the isolating switch; The prediction module is used to predict the state prediction information of the isolating disconnector at the current moment based on the disconnector state information of the previous moment. The state determination module is used to determine the current state information of the isolating switch based on the current state measurement information, the current state prediction information, and the weight information corresponding to the current state measurement information and the current state prediction information; wherein the weight information is determined by historical experience. The alarm module is used to generate an abnormal alarm message and issue an alarm when the current disconnector status information matches the preset disconnector abnormal conditions. Specifically, the prediction module is used to: determine the state transition information of the isolating switch at the current moment based on the switch state information of the previous moment and a preset state transition equation; and determine the state prediction information at the current moment based on the state transition information and a preset measurement noise matrix; wherein the preset state transition equation is a state transition equation obtained in advance based on the Kalman filter algorithm applied to the switch detection system. Specifically, the state determination module is used to: obtain the uncertainty prediction value of the previous moment, and determine the uncertainty prediction value of the current moment based on the uncertainty prediction value of the previous moment and a preset noise covariance matrix; determine the target gain based on the uncertainty prediction value of the current moment and the preset measurement noise matrix; and determine the current moment disconnector state information of the disconnector based on the current moment state measurement information, the current moment state prediction information, and the target gain. Specifically, the acquisition module is used to: collect temperature data of the isolation switch sent by the infrared detection device at the current moment, distance data of the isolation switch sent by the ultrasonic detection device at the current moment, point cloud data of the isolation switch sent by the laser detection device at the current moment, and image data of the isolation switch sent by the visible light detection device at the current moment.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the anomaly detection method as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the anomaly detection method as described in any one of claims 1-4.

Images