Isolator control method and device, electronic equipment and storage medium

Abstract

The application discloses a kind of isolator control method, device, electronic equipment and storage medium, it is related to computer technology, the method comprises: obtaining the parameter information generated when the multiple transmission components of target isolator work, parameter information at least includes contact parameter, friction parameter and deformation parameter;Contact parameter, friction parameter and deformation parameter are input into characteristic calculation model, and the torque characteristics of target isolator are obtained;Control driving assembly according to torque characteristics controls target isolator.The application is calculated by the way that each group of component parameters corresponding to each isolator is calculated by characteristic calculation model, so that when each isolator is controlled, it can be controlled according to the torque characteristics corresponding to the current isolator, solve the problem that existing target isolator is not controlled when being remotely controlled by preset torque, obtain the beneficial effect of improving the control accuracy of remote operation and improving work efficiency.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, apparatus, electronic device and storage medium for controlling a disconnecting switch. Background Technology

[0002] In modern power systems, disconnect switches, as one of the important electrical devices, play a crucial role in isolating power sources, performing switching operations, and connecting and disconnecting low-current circuits. With the continuous advancement of integrated dispatching and remote control, the control of disconnect switches is gradually moving towards remote control operation, aiming to improve work efficiency by remotely controlling the target disconnect switch.

[0003] Current methods for controlling disconnect switches typically involve using a drive motor to close or open the target disconnect switch with a preset torque, achieving remote control. However, over time, the operating parameters of various components within the disconnect switch change due to factors such as equipment aging and wear of transmission parts. This often leads to inadequate control when using a preset torque (e.g., insufficient torque causing the disconnect switch to fail to close, or excessive torque causing the motor to over-rotate). In such cases, on-site assistance from personnel is required. Therefore, existing disconnect switch control solutions suffer from poor accuracy and low efficiency. Summary of the Invention

[0004] This application provides a method, device, electronic device, and storage medium for controlling disconnect switches, which can improve the accuracy of remote control of disconnect switches and increase work efficiency.

[0005] In a first aspect, this application provides a method for controlling a disconnecting switch, comprising:

[0006] The system acquires parameter information generated by multiple transmission components of the target disconnect switch during operation, including at least contact parameters, friction parameters, and deformation parameters; inputs the contact parameters, friction parameters, and deformation parameters into a characteristic calculation model to obtain the torque characteristics of the target disconnect switch; and controls the drive component to control the target disconnect switch based on the torque characteristics.

[0007] Optionally, the control drive component controls the target disconnect switch according to the torque characteristics, including: determining target control information from the torque characteristics based on the current control time, the target control information including a target control mode and a target output torque; and controlling the drive component to control the target disconnect switch according to the target output torque under the target control mode.

[0008] Optionally, the target control mode includes control closing and control opening; controlling the drive component to control the target disconnector according to the target output torque under the target control mode includes: when the target control mode is control closing, controlling the drive component to operate in a first direction, so that during operation in the first direction, the control mechanism of the target disconnector is controlled to perform a closing operation according to the target output torque; when the target control mode is control opening, controlling the drive component to operate in a second direction, so that during operation in the second direction, the control mechanism of the target disconnector is controlled to perform an opening operation according to the target output torque, wherein the first direction and the second direction are opposite.

[0009] Optionally, the method further includes: acquiring a control image of the target disconnect switch based on a vision component, wherein the control image is obtained after the drive component controls the target disconnect switch according to the torque characteristics; extracting features from the control image to obtain control features; determining the control result of the target disconnect switch based on the control features; and adjusting the model parameters of the characteristic calculation model based on the control result when the control result does not meet the expected result.

[0010] Optionally, adjusting the model parameters of the characteristic calculation model based on the control result includes: determining the prediction error based on the control result and the expected result; adjusting the model parameters based on a preset method and the prediction error to obtain updated parameters; and correcting the characteristic calculation model based on the updated parameters.

[0011] Optionally, the characteristic calculation model is obtained by: acquiring a sample dataset, which includes multiple data pairs, each data pair including one-to-one sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data; extracting features from the sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data in each data pair to obtain corresponding sample parameter features; training a preset deep learning model based on the multiple sample parameter features; iteratively optimizing the model parameters of the preset deep learning model; and obtaining the characteristic calculation model when the predicted torque characteristic of the disconnecting switch output by the preset deep learning model meets preset conditions.

[0012] Optionally, the plurality of transmission components include a contact, a contact finger, a conductive arm, an operating lever, an operating linkage, a driven crank arm, an inter-electrode linkage, and an inter-phase linkage; the contact parameters include a first contact parameter and a second contact parameter; the first contact parameter is generated when the contact and the contact finger are in contact, and the second contact parameter is generated when the conductive arm is in contact with the contact and the contact finger respectively; the friction parameters include a first friction parameter and a second friction parameter; the first friction parameter is generated when the operating lever and the operating linkage move relative to each other, and the second friction parameter is generated when the driven crank arm moves relative to the inter-electrode linkage and the inter-phase linkage respectively; the deformation parameter is generated when the contact finger deforms under the pressure of the contact.

[0013] Secondly, this application provides a disconnector switch control device, the device comprising:

[0014] The information acquisition module is used to acquire parameter information generated by multiple transmission components of the target disconnect switch during operation. The parameter information includes at least contact parameters, friction parameters, and deformation parameters.

[0015] The model calculation module is used to input the contact parameters, friction parameters and deformation parameters into the characteristic calculation model to obtain the torque characteristics of the target disconnecting switch;

[0016] A switch control module is used to control the drive component to control the target disconnect switch according to the torque characteristics.

[0017] Thirdly, this application also provides an electronic device, the electronic device comprising:

[0018] At least one processor; and

[0019] A memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the disconnector control method according to any embodiment of this application.

[0021] Fourthly, this application also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the isolating switch control method described in any embodiment of this application.

[0022] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the isolating switch control method described in any embodiment of this application.

[0023] The disconnector switch control scheme provided in this application first acquires parameter information generated by multiple transmission components of the target disconnector switch during operation. This parameter information includes contact parameters, friction parameters, and deformation parameters, which reflect the component operation status of the target disconnector switch in its current state. Then, these parameters are input into a characteristic calculation model, enabling the model to calculate the torque characteristics of the target disconnector switch based on these parameters. The torque characteristics provide a better understanding of the torque changes of the target disconnector switch in its current state. Finally, the control drive component controls the target disconnector switch based on the obtained torque characteristics. This scheme, by calculating the parameters of each component corresponding to each disconnector switch separately using the characteristic calculation model, allows for targeted control based on the torque characteristics corresponding to each disconnector switch. This solves the problem of inadequate control in existing remote control methods that rely on preset torque, achieving improved control accuracy and increased work efficiency in remote operation.

[0024] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the disconnector control device, or it may be packaged separately from the processor of the disconnector control device; this application does not impose any limitations on this.

[0025] The descriptions of the second, third, fourth, and fifth aspects in this application can be referenced to the detailed description of the first aspect; and the beneficial effects of the descriptions of the second, third, fourth, and fifth aspects can be referenced to the analysis of the beneficial effects of the first aspect, which will not be repeated here.

[0026] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description.

[0027] It is understood that before using the technical solutions disclosed in the various embodiments of this application, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this application in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained. Attached Figure Description

[0028] To more clearly illustrate the technical solutions of the embodiments 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.

[0029] Figure 1 This is a flowchart illustrating the disconnector switch control method provided in an embodiment of this application;

[0030] Figure 2 This is another schematic flowchart of the disconnector switch control method provided in the embodiments of this application;

[0031] Figure 3 This is a schematic diagram of the structure of the disconnector control device provided in an embodiment of this application;

[0032] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present application, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments of 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.

[0034] 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.

[0035] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present application, not the entire structure.

[0036] Figure 1 This is a flowchart illustrating a disconnector switch control method provided in an embodiment of this application. This embodiment is applicable to situations involving remote control of disconnectors. The method can be executed by a disconnector switch control device, which can be implemented in hardware and / or software and integrated into the electronic device executing the method. Preferably, the electronic device in this embodiment can be a server, or a computer device, etc.

[0037] refer to Figure 1 The disconnector switch control method in this embodiment includes, but is not limited to, the following steps:

[0038] S110. Obtain parameter information generated when multiple drive components of the target disconnect switch are working.

[0039] The target disconnector indicates any disconnector in a power system that needs to be controlled among multiple disconnectors. The control method for the target disconnector generally involves moving the contacts through a control mechanism (such as an operating lever or actuation mechanism) to open or close the contacts, thereby controlling the conduction and disconnection of the control current path.

[0040] In the process of controlling the target disconnect switch, multiple transmission components work together. During this collaboration, due to equipment aging and wear of transmission parts, the parameters generated between these components change, and the parameter changes vary for different disconnect switches. Therefore, in existing solutions that uniformly control each disconnect switch based on a preset torque, some disconnect switches may not be controlled properly, such as failing to close or the motor over-rotating. In view of this, the disconnect switch control scheme provided in this embodiment analyzes the parameters of each transmission component in each disconnect switch using a characteristic calculation model. This model outputs the torque characteristics corresponding to each disconnect switch, enabling precise control of the respective disconnect switch based on these torque characteristics.

[0041] Specifically, in this embodiment, the parameter information includes at least contact parameters, friction parameters, and deformation parameters. Contact parameters indicate the parameters generated when two transmission components come into contact with each other; these parameters are related to the contact area and contact pressure between the two transmission components. Friction parameters indicate the parameters generated at the connection point between two transmission components due to relative motion; these parameters are related to the magnitude of the frictional force between the two transmission components and the speed of movement. Deformation parameters indicate the deformation of the transmission components under pressure; these parameters are related to the material of the transmission components, the magnitude of the pressure, and the magnitude of the control current. The parameter information generated by each transmission component is specifically related to the function corresponding to each transmission component.

[0042] In a preferred embodiment, the target disconnecting switch comprises multiple transmission components including contacts, contact fingers, conductive arms, operating levers, actuating linkages, driven crank arms, inter-pole linkages, and phase-to-phase linkages. Through the coordinated operation of these transmission components, the disconnecting switch performs opening and closing operations, as well as circuit isolation functions. Specifically, the contacts and contact fingers are used to conduct current; the conductive arms conduct current; and the operating levers, actuating linkages, driven crank arms, inter-pole linkages, and phase-to-phase linkages transmit operating force to achieve the mechanical action of the disconnecting switch.

[0043] Specifically, the parameter information generated when the above-mentioned multiple transmission mechanisms are working is as follows: the contact parameters include the first contact parameter and the second contact parameter, and the friction parameters include the first friction parameter and the second friction parameter.

[0044] The first contact parameter is generated when the contactor and contact finger come into contact. The contactor and contact finger are the key parts for realizing the circuit opening and closing. Factors such as the contact area and contact pressure between the two affect the current conduction effect and the contact resistance. The second contact parameter is generated when the conductive arm comes into contact with the contactor and contact finger respectively. The conductive arm is connected to the contactor and contact finger respectively, and its connection points also generate certain contact parameters. For example, the tightness of the connection between the conductive arm and the contact affects the contact resistance and contact stability.

[0045] The first friction parameter is generated when the operating lever and the actuating linkage move relative to each other. The friction between them affects the transmission of operating force and the smoothness of the disconnecting switch's operation. Factors such as the coefficient of friction and the speed of movement determine the magnitude of the friction parameter. The second friction parameter is generated when the driven crank arm moves relative to the inter-pole linkage and the inter-phase linkage, respectively. Their connection points and movement methods affect the magnitude and direction of the friction force.

[0046] Deformation parameters are generated when the contact finger deforms under the pressure of the contact head. The contact finger will deform under the pressure of the contact head and the thermal effect generated when the current passes through. The material properties of the contact finger, the contact pressure and the magnitude of the current will affect the degree and deformation characteristics of the contact finger.

[0047] The solution provided in this embodiment first acquires various parameter information of the target disconnect switch based on microsensors before controlling the target disconnect switch. This parameter information reflects the component operation status of the target disconnect switch in the current state, providing a data foundation for the accuracy of subsequent remote control of the target disconnect switch.

[0048] S120. Input the contact parameters, friction parameters, and deformation parameters into the characteristic calculation model to obtain the torque characteristics of the target disconnector.

[0049] The characteristic calculation model is obtained by training a pre-defined deep learning algorithm on collected sample data. By inputting contact parameters, friction parameters, and deformation parameters into the characteristic calculation model, the torque characteristics of the target disconnector can be obtained relatively accurately. The current torque characteristics can be represented by a curve showing the relationship between time and output torque, or by a function showing the change of time and output torque. Optionally, the torque characteristics include at least the relationship between torque and time in the target disconnector, the maximum torque value, the minimum torque value, and the control method.

[0050] Specifically, when outputting the torque characteristics of the target disconnector through the characteristic calculation model, contact parameters reflect the contact situation between the contacts and fingers of the target disconnector, including contact area and contact pressure. These parameters directly affect current conduction and the magnitude of friction. Friction parameters determine the frictional resistance between different components of the target disconnector during operation, playing a crucial role in the generation and change of torque. Deformation parameters reflect the deformation of the fingers under stress, which may alter the contact state and friction, thus affecting torque characteristics. Furthermore, by comprehensively analyzing these parameters through the characteristic calculation model, the torque changes of the target disconnector at different time points can be simulated. For example, when the target disconnector begins operation, the torque may be large due to the high friction and finger deformation; as operation progresses, the contact state gradually stabilizes, friction may decrease, and the torque will change accordingly. Analyzing the torque characteristics of the target disconnector helps to evaluate and optimize its operational performance, ensuring its reliability and safety in actual operation.

[0051] In a preferred embodiment, the characteristic calculation model is obtained as follows: A sample dataset is acquired, comprising multiple data pairs, each pair including corresponding sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data; feature extraction is performed on the sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data in each data pair to obtain corresponding sample parameter features; a preset deep learning model is trained based on multiple sample parameter features, and the model parameters of the preset deep learning model are iteratively optimized; when the predicted torque characteristic of the disconnector output by the preset deep learning model meets preset conditions, the characteristic calculation model is obtained.

[0052] The solution provided in this embodiment, when training the characteristic calculation model, uses one-to-one corresponding sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data contained in the sample dataset. These data can be obtained through extensive experimental testing of actual disconnecting switches and field operation data. Furthermore, feature extraction is performed on the parameters contained in each data pair to transform the raw data into a form more suitable for model training. Specifically, for contact parameters, possible extracted features include statistical characteristics of the contact area (such as mean and variance), and the changing trend of contact pressure; for friction parameters, features may include the dispersion of the friction coefficient and energy loss characteristics during the friction process; for deformation parameters, features such as the maximum amplitude of finger deformation and the time characteristics of deformation recovery can be extracted; and for torque characteristic data, features such as the peak torque and the slope characteristics of torque change over time can be extracted. These feature extraction operations transform the original sample parameters into sample parameter features. Multiple sample parameter features are used as input, and the corresponding sample torque characteristic data is used as output to train a pre-defined deep learning model. During training, the model attempts to predict torque characteristics based on the input sample parameter features, and then calculates a loss function by comparing it with the actual sample torque characteristic data. Based on the value of the loss function, an optimization algorithm is used to iteratively optimize the model parameters until the predicted torque characteristics of the disconnector output by the pre-defined deep learning model meet the preset conditions, thus obtaining the characteristic calculation model.

[0053] Among them, the above-mentioned preset conditions can be: the number of iterations reaches a preset upper limit value, or the error between the predicted torque characteristics and the actual torque characteristics of the output disconnecting switch is less than a preset value, then the above-mentioned preset conditions are determined to be satisfied.

[0054] The aforementioned preset deep learning model can be implemented using neural network models, support vector machine models, or random forest models, and the specific selection of the preset deep learning model is not limited here.

[0055] Optionally, when the contact parameters include a first contact parameter and a second contact parameter, and the friction parameters include a first friction parameter and a second friction parameter, the first contact parameter and the second contact parameter can be calculated first by weighting, and the first friction parameter and the second friction parameter can be calculated first by weighting, thereby obtaining the corresponding contact parameters and friction parameters. Then, the relevant operations of feature extraction are performed on the sample contact parameters, sample friction parameters, sample deformation parameters and sample torque characteristic data in each data pair.

[0056] S130, The control drive component controls the target disconnect switch according to the torque characteristics.

[0057] When the drive component controls the target disconnect switch based on the torque characteristics, it can clearly determine the torque required to control the opening and closing of the target disconnect switch, thereby enabling the target disconnect switch to be operated in one go and improving the accuracy of operation.

[0058] In this embodiment, the drive component can be implemented by a servo motor. Servo motors have the characteristics of precise control and can adjust the action of the target isolating switch according to the target torque corresponding to the calculated torque characteristics, so as to ensure that it operates at the right time with the appropriate torque.

[0059] The disconnector switch control method provided in this embodiment first acquires parameter information generated by multiple transmission components of the target disconnector switch during operation. This parameter information includes contact parameters, friction parameters, and deformation parameters, which reflect the component operation status of the target disconnector switch in its current state. Then, these parameters are input into a characteristic calculation model, enabling the model to calculate the torque characteristics of the target disconnector switch based on these parameters. The torque characteristics provide a better understanding of the torque changes of the target disconnector switch in its current state. Finally, the control drive component controls the target disconnector switch based on the obtained torque characteristics. The solution provided in this embodiment calculates the parameters of each component corresponding to different disconnectors using a characteristic calculation model. This allows for targeted control of each disconnector switch based on its corresponding torque characteristics, solving the problem of inadequate control in existing remote control methods that rely on preset torque. This improves the control accuracy of remote operation and increases work efficiency.

[0060] Figure 2 This is another flowchart illustrating the isolating switch control method provided in this application embodiment. This application embodiment is an optimization based on the above embodiments. Specifically, the optimization is as follows: This embodiment provides a detailed explanation of the implementation process of "determining target control information from torque characteristics based on the current control time, wherein the target control information includes the target control mode and the target output torque" in the above embodiments.

[0061] See Figure 2 The disconnector switch control method in this embodiment includes, but is not limited to, the following steps:

[0062] S210. Obtain parameter information generated when multiple drive components of the target disconnect switch are working.

[0063] The parameter information includes at least contact parameters, friction parameters, and deformation parameters.

[0064] S220. Input the contact parameters, friction parameters, and deformation parameters into the characteristic calculation model to obtain the torque characteristics of the target disconnector.

[0065] S230. Determine the target control information from the torque characteristics based on the current control time.

[0066] The target control information includes the target control mode and the target output torque.

[0067] In one understandable way, the torque characteristics of the target disconnector in this embodiment can be represented by a curve showing the relationship between time and output torque. The target control mode indicates whether the target disconnector is currently controlled to close or open, and the target output torque represents the torque required to control the target disconnector. Controlling the target disconnector using the target output torque ensures that the target disconnector can be operated correctly in one operation.

[0068] S240, The control drive component controls the target disconnect switch according to the target output torque under the target control mode.

[0069] When the drive component is implemented by a servo motor, the rotation of the servo motor can be controlled to drive the operating mechanism of the disconnect switch to move in accordance with the target output torque.

[0070] Specifically, the process by which the control drive component provided in this embodiment controls the target disconnect switch based on torque characteristics can be implemented in the following way: receiving target control information for the target disconnect switch from a host computer or control system, the target control information including the target control mode and the target output torque; converting the target control information into control instructions that the driver can understand, and controlling the servo motor to rotate according to the instructions, thereby driving the operating mechanism of the disconnect switch to move.

[0071] In another preferred embodiment, the target control method provided in this embodiment includes control closing and control opening. Control closing refers to the operation of closing the contacts of the disconnecting switch to form a circuit. In a power system, when it is necessary to connect an electrical device (such as a transformer, line, etc.) to the circuit for power supply or to connect different circuit parts, the disconnecting switch is closed. Control opening is the opposite of control closing; it refers to the operation of opening the contacts of the disconnecting switch to cut off the circuit. When it is necessary to inspect or maintain electrical equipment or change the operating mode of the power system, the disconnecting switch is opened.

[0072] Specifically, step S240 can be implemented as follows: When the target control mode is control closing, the control drive component operates in a first direction, so that during operation in the first direction, the control mechanism of the target disconnector switch generates a closing operation based on the target output torque. When the target control mode is control opening, the control drive component operates in a second direction, so that during operation in the second direction, the control mechanism of the target disconnector switch generates a opening operation based on the target output torque. The first and second directions are in opposite states.

[0073] Specifically, when representing torque characteristics using a time-to-output torque relationship curve, the control method of the disconnector switch, the motor rotation direction of the drive component, and the function range of the time-to-output torque relationship curve can be predefined. For example, when the control method of the disconnector switch is control closing, the corresponding motor rotation direction can be forward (first direction), which can be reflected in the time-to-output torque relationship curve as the curve corresponding to control closing occupying the first quadrant of the coordinate system (positive value); conversely, when the control method of the disconnector switch is control opening, the corresponding motor rotation direction can be reverse (second direction), which can be reflected in the time-to-output torque relationship curve as the curve corresponding to control closing occupying the fourth quadrant of the coordinate system (negative value); thus, the control mechanism of the disconnector switch can be referenced based on the current relationship to perform closing or opening operations.

[0074] In another preferred embodiment, since the parameters of each transmission component of the disconnecting switch will change over time, in order to further achieve the purpose of precise control of the target disconnecting switch, the solution provided in this embodiment will adjust the model parameters of the characteristic calculation model according to the actual control results after the target disconnecting switch is controlled once according to the solution provided in this embodiment, so as to always maintain the accuracy of the output results of the characteristic calculation model.

[0075] Specifically, the disconnector switch control scheme provided in this embodiment further includes the following steps:

[0076] The control image of the target disconnect switch is obtained based on the vision component. The control image is obtained after the drive component controls the target disconnect switch according to the torque characteristics. Feature extraction is performed on the control image to obtain control features. The control result of the target disconnect switch is determined based on the control features. If the control result does not meet the expected result, the model parameters of the characteristic calculation model are adjusted according to the control result.

[0077] The vision component can be a vision device, such as a high-resolution industrial camera, deployed at the target disconnect switch. After the control and drive component controls the target disconnect switch according to the torque characteristics, the vision component can be controlled to acquire the control image generated after the target disconnect switch is controlled. The current control image should at least include the state information of the target disconnect switch under specific torque control, such as the contact finger engagement status, contact finger engagement depth, and whether the conductive arm is straight.

[0078] Before performing feature extraction on the control image, the control image can be preprocessed. Preprocessing may include grayscale conversion to reduce the amount of data and simplify subsequent processing; it may also include image filtering, noise removal, and other operations to obtain a high-precision control image for subsequent feature extraction.

[0079] Specifically, when extracting features from the control image, a preset extraction algorithm can be used to describe the control features of the disconnector switch. For example, the current control features may include the position of the disconnector switch blade, the state of the contact points, and the contact finger engagement trajectory. Optionally, the preset extraction algorithm in this embodiment can be an edge detection algorithm.

[0080] Before determining the control result for the target disconnector based on control characteristics, a mapping relationship between control characteristics and control results can be established in advance. For example, for controlling closing, if the contact edge spacing is detected to be less than a certain threshold and the contact area is greater than a certain value, the closing operation is considered successful; otherwise, the closing operation is considered unsuccessful. For controlling opening, the positional characteristics of the transmission components (such as the angle and displacement of the transmission rod) and the separation of the contacts can be used to determine whether the opening is complete. Furthermore, the extracted control characteristics are compared with the pre-established mapping relationship to determine the control result for the target disconnector, i.e., whether the operation has successfully achieved the expected state.

[0081] In this embodiment, if the control result does not meet the expected result, the model parameters of the characteristic calculation model can be adjusted according to the control result. The specific adjustment method is as follows: determine the prediction error according to the control result and the expected result; adjust the model parameters based on the preset method and the prediction error to obtain updated parameters; and correct the characteristic calculation model based on the updated parameters.

[0082] When the control result does not meet the expected result, the cause of the prediction error can be determined in advance based on the control result and the expected result. For example, the expected closing result is complete contact with appropriate contact pressure, but the actual control result shows incomplete contact or insufficient contact pressure. Possible causes include inaccurate torque calculation, wear of transmission components, and deformation of the contacts. These causes may be related to the parameters in the characteristic calculation model. The model parameters of the characteristic calculation model can be adjusted based on the analysis results. For example, if inaccurate torque calculation is considered to be the cause of poor control results, the values ​​of torque-related parameters, such as the friction coefficient and load inertia, can be adjusted in the model. If the problem is caused by wear of transmission components, parameters such as transmission efficiency can be corrected according to the wear condition. By continuously adjusting the model parameters and updating the characteristic calculation model, the control of the disconnecting switch based on torque characteristics can more closely approximate the expected result in subsequent operations.

[0083] This embodiment utilizes a vision-based component to further analyze the control results of the target disconnect switch after control, enabling timely detection of potential problems and improving the accuracy and reliability of disconnect switch operation. This method is of great significance for ensuring the safe and stable operation of the power system.

[0084] The disconnector switch control method provided in this embodiment calculates the parameters of each component corresponding to each disconnector switch separately through a characteristic calculation model. This allows for targeted control based on the torque characteristics of the current disconnector switch when controlling each disconnector switch. This solves the problem of inadequate control when remotely controlling a target disconnector switch using a preset torque, and achieves the beneficial effects of improving the control accuracy of remote operation and increasing work efficiency.

[0085] Figure 3 This is a schematic diagram of a disconnector control device provided in an embodiment of this application. This device is suitable for executing the disconnector control method provided in an embodiment of this application. Figure 3 As shown, the device may specifically include: an information acquisition module 310, a model calculation module 320, and a switch control module 330, wherein:

[0086] The information acquisition module 310 is used to acquire parameter information generated when multiple transmission components of the target disconnect switch are working, and the parameter information includes at least contact parameters, friction parameters and deformation parameters;

[0087] The model calculation module 320 is used to input the contact parameters, the friction parameters and the deformation parameters into the characteristic calculation model to obtain the torque characteristics of the target disconnecting switch;

[0088] The switch control module 330 is used to control the drive component to control the target disconnect switch according to the torque characteristics.

[0089] The disconnector switch control device provided in this embodiment first acquires parameter information generated by multiple transmission components of the target disconnector switch during operation. This parameter information includes contact parameters, friction parameters, and deformation parameters, which reflect the component operation status of the target disconnector switch in its current state. Then, these parameters are input into a characteristic calculation model, enabling the model to calculate the torque characteristics of the target disconnector switch based on these parameters. The torque characteristics provide a better understanding of the torque changes of the target disconnector switch in its current state. Finally, the control drive component controls the target disconnector switch based on the obtained torque characteristics. The solution provided in this embodiment calculates the parameters of each component corresponding to each disconnector switch separately using the characteristic calculation model. This allows for targeted control of each disconnector switch based on its corresponding torque characteristics, solving the problem of inadequate control in existing remote control methods that rely on preset torque. This improves the control accuracy of remote operation and enhances work efficiency.

[0090] In one embodiment, the switch control module 330 includes an information determination unit and a switch control unit, wherein:

[0091] An information determination unit is used to determine target control information from the torque characteristics based on the current control time, wherein the target control information includes a target control mode and a target output torque;

[0092] A switch control unit is used to control the drive assembly to control the target disconnect switch according to the target output torque under the target control mode.

[0093] In one embodiment, the target control method includes controlling closing and controlling opening;

[0094] The switch control unit is specifically used to control the drive assembly to operate in a first direction when the target control mode is control closing, so that during operation in the first direction, the control mechanism of the target disconnect switch is controlled to perform a closing operation according to the target output torque; and to control the drive assembly to operate in a second direction when the target control mode is control opening, so that during operation in the second direction, the control mechanism of the target disconnect switch is controlled to perform an opening operation according to the target output torque, wherein the first direction and the second direction are opposite.

[0095] In one embodiment, the device further includes an image acquisition module, a feature extraction module, a result determination module, and a parameter adjustment module, wherein:

[0096] The image acquisition module is used to acquire a control image of the target disconnect switch based on the vision component. The control image is obtained after the drive component controls the target disconnect switch according to the torque characteristics.

[0097] The feature extraction module is used to extract features from the control image to obtain control features;

[0098] The result determination module is used to determine the control result for the target disconnect switch based on the control characteristics.

[0099] The parameter adjustment module is used to adjust the model parameters of the characteristic calculation model according to the control result when the control result does not meet the expected result.

[0100] In one embodiment, the parameter adjustment module is specifically used to determine the prediction error based on the control result and the expected result; adjust the model parameters based on a preset method and the prediction error to obtain updated parameters; and correct the characteristic calculation model based on the updated parameters.

[0101] In one embodiment, the characteristic calculation model is obtained as follows: A sample dataset is acquired, comprising multiple data pairs, each data pair including corresponding sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data; feature extraction is performed on the sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data in each data pair to obtain corresponding sample parameter features; a preset deep learning model is trained based on the multiple sample parameter features, and the model parameters of the preset deep learning model are iteratively optimized; when the predicted torque characteristic of the disconnector output by the preset deep learning model meets preset conditions, the characteristic calculation model is obtained.

[0102] In one embodiment, the plurality of transmission components include a contact, a finger, a conductive arm, an operating lever, an operating link, a driven crank arm, an inter-electrode link, and an inter-phase link; the contact parameters include a first contact parameter and a second contact parameter; the first contact parameter is generated when the contact and the finger are in contact, and the second contact parameter is generated when the conductive arm is in contact with the contact and the finger respectively; the friction parameters include a first friction parameter and a second friction parameter; the first friction parameter is generated when the operating lever and the operating link move relative to each other, and the second friction parameter is generated when the driven crank arm moves relative to the inter-electrode link and the inter-phase link respectively; the deformation parameter is generated when the finger deforms under the pressure of the contact.

[0103] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is merely an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be 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 be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0104] This application also provides an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the isolating switch control method described in any embodiment of this application.

[0105] This application also provides a computer-readable medium storing computer instructions that, when executed by a processor, implement the isolating switch control method described in any embodiment of this application.

[0106] The following is for reference. Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. It illustrates a schematic diagram of the structure of a computer system 500 suitable for implementing the electronic device in the embodiment of this application. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0107] like Figure 4 As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 502 or programs loaded from storage section 508 into random access memory (RAM) 503. The RAM 503 also stores various programs and data required for the operation of the system 500. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0108] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 510 as needed so that computer programs read from it can be installed into storage section 508 as needed.

[0109] 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 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit (CPU) 501, it performs the functions defined above in the system of this application.

[0110] 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, wireline, and optical fiber, or any suitable combination thereof.

[0111] 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.

[0112] The modules and / or units described in the embodiments of 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 information acquisition module, a model calculation module, and a switch control module. The names of these modules do not necessarily limit the module itself.

[0113] 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 independently and not assembled into the device. The computer-readable medium carries one or more programs that, when executed by the device, cause the device to include: acquiring parameter information generated during the operation of multiple transmission components of the target disconnect switch, the parameter information including at least contact parameters, friction parameters, and deformation parameters; inputting the contact parameters, friction parameters, and deformation parameters into a characteristic calculation model to obtain torque characteristics of the target disconnect switch; and controlling a drive component to control the target disconnect switch according to the torque characteristics.

[0114] According to the technical solution of this embodiment, the parameter calculation method of each component corresponding to each disconnect switch is performed by means of characteristic calculation model. When controlling each disconnect switch, targeted control can be performed according to the torque characteristics corresponding to the current disconnect switch. This solves the problem of inadequate control when remotely controlling the target disconnect switch by preset torque. It achieves the beneficial effects of improving the control accuracy of remote operation and improving work efficiency.

[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. A method for controlling a disconnecting switch, characterized in that, include: Acquire parameter information generated by multiple transmission components of the target disconnect switch during operation, including contact parameters, friction parameters, and deformation parameters; The contact parameters, friction parameters, and deformation parameters are input into the characteristic calculation model to obtain the torque characteristics of the target disconnect switch; wherein, the characteristic calculation model is obtained by training a preset deep learning model based on multiple sample data; The control drive component controls the target disconnect switch according to the torque characteristics.

2. The disconnector switch control method according to claim 1, characterized in that, The control drive component controls the target disconnect switch according to the torque characteristics, including: Target control information is determined from the torque characteristics based on the current control time. The target control information includes the target control mode and the target output torque. The drive component is controlled to control the target disconnect switch according to the target output torque under the target control mode.

3. The disconnector switch control method according to claim 2, characterized in that, The target control method includes controlling closing and controlling opening; The control of the drive component to control the target disconnect switch according to the target output torque under the target control mode includes: When the target control mode is the control closing, the drive component is controlled to operate in the first direction, so that during the operation in the first direction, the control mechanism of the target disconnect switch is controlled to generate a closing operation according to the target output torque; When the target control mode is the control tripping, the drive component is controlled to operate in the second direction, so that during the operation in the second direction, the control mechanism of the target disconnecting switch is controlled to perform a tripping operation according to the target output torque, and the first direction and the second direction are opposite.

4. The disconnector switch control method according to claim 1, characterized in that, The method further includes: The control image of the target disconnect switch is obtained based on the vision component, and the control image is obtained after the drive component controls the target disconnect switch according to the torque characteristics; Feature extraction is performed on the control image to obtain control features; The control result for the target disconnect switch is determined based on the control characteristics; When the control result does not meet the expected result, the model parameters of the characteristic calculation model are adjusted according to the control result.

5. The disconnector switch control method according to claim 4, characterized in that, The adjustment of the model parameters of the characteristic calculation model based on the control result includes: The prediction error is determined based on the control results and the expected results; The model parameters are adjusted based on a preset method and the prediction error to obtain updated parameters; The feature calculation model is corrected based on the updated parameters.

6. The disconnector switch control method according to claim 1, characterized in that, The characteristic calculation model is obtained in the following way: Obtain a sample dataset, which includes multiple data pairs. Each data pair includes one-to-one corresponding sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data. For each data pair, feature extraction is performed on the sample contact parameters, sample friction parameters, sample deformation parameters, and sample torque characteristic data to obtain the corresponding sample parameter features; The preset deep learning model is trained based on multiple sample parameter features. The model parameters of the preset deep learning model are iteratively optimized. When the predicted torque characteristics of the disconnecting switch output by the preset deep learning model meet the preset conditions, the characteristic calculation model is obtained.

7. The disconnector switch control method according to claim 1, characterized in that, The plurality of said transmission components include contacts, contact fingers, conductive arms, operating levers, operating links, driven crank arms, inter-pole links, and inter-phase links; The contact parameters include a first contact parameter and a second contact parameter; The first contact parameter is generated when the contact head and the contact finger come into contact, and the second contact parameter is generated when the conductive arm comes into contact with the contact head and the contact finger respectively; The friction parameters include a first friction parameter and a second friction parameter; The first friction parameter is generated when the operating lever and the operating link move relative to each other, and the second friction parameter is generated when the driven crank arm moves relative to the inter-pole link and the inter-phase link respectively. The deformation parameter is generated when the finger deforms under the pressure of the contact head.

8. A disconnector switch control device, characterized in that, include: The information acquisition module is used to acquire parameter information generated by multiple transmission components of the target disconnect switch during operation. The parameter information includes contact parameters, friction parameters, and deformation parameters. The model calculation module is used to input the contact parameters, friction parameters, and deformation parameters into the characteristic calculation model to obtain the torque characteristics of the target disconnect switch; wherein, the characteristic calculation model is obtained by training a preset deep learning model based on multiple sample data; A switch control module is used to control the drive component to control the target disconnect switch according to the torque characteristics.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the disconnector control method according to any one of claims 1-7.

10. 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 disconnector control method as described in any one of claims 1-7.

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