Substation switching anti-misoperation method and device based on AR technology, and medium

Abstract

The invention discloses a transformer substation switching anti-misoperation method and device based on the AR technology and a medium. The method comprises the steps that firstly, an operation instruction is received, AR auxiliary equipment is started, a three-dimensional space map of a target transformer substation is loaded, then the position of an operator is positioned in real time through the SLAM technology, and an AR navigation path is generated and displayed in a real scene in an overlapped mode. Generating a digital operation instruction sequence according to the operation order, synchronizing the digital operation instruction sequence to AR equipment, obtaining equipment state information through image recognition after the AR equipment reaches a target position, and performing matching verification on the equipment state information and a state required by an operation instruction; and when the states are matched and the operation steps are consistent with the instruction sequence, unlocking the equipment operation authority, and after the operation is completed, automatically updating the instruction sequence state and starting the next operation step for verification. According to the method, the anti-error control of the switching operation of the transformer substation is realized by means of the AR technology, and the operation safety and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of substation operation, and specifically provides a substation switching misoperation prevention method, equipment and medium based on AR technology. Background Art

[0002] In the traditional substation switching operation model, after receiving the dispatch order at the centralized control center, operations and maintenance personnel must issue and print an invoice in the production management system, simulate the steps on the five-prevention host computer, and transfer them to the five-prevention computer key. On-site operators then unlock and operate according to the order in the ticket. This model relies on manual, step-by-step operation, which is prone to problems such as entering the wrong interval and operating equipment incorrectly. Furthermore, with the development of intelligent power grid technology, the traditional model is no longer able to meet the needs of intelligentization, hindering the progress of intelligent power grids. Domestic and foreign scholars have conducted research on substation switching error prevention technology and achieved results. At the same time, AR technology is widely used in various industries such as electricity, healthcare, and gaming. In the power sector, there have also been many attempts in training, inspection, and operations and maintenance. However, research on AR technology to prevent error-prone substation switching operations is still rare in China. Summary of the Invention

[0003] In order to solve the technical problem that the traditional manual switching operation mode has safety risks and restricts the development of intelligent power grids, the present invention provides a substation switching anti-misoperation method, equipment and medium based on AR technology.

[0004] The present invention provides a method for preventing misoperation of substation switching based on AR technology, comprising the following steps: receiving an operation instruction and starting AR auxiliary equipment, loading a three-dimensional spatial map of a target substation; locating the operator's position in real time through SLAM (Simultaneous Localization and Mapping) technology, generating an AR navigation path and superimposing it on a real scene; generating a digital operation instruction sequence according to the content of the operation ticket and synchronizing it to the AR auxiliary equipment; after arriving at the target device position, obtaining device status information through image recognition technology; matching and verifying the actual status of the device with the status required by the operation instruction; unlocking the device operation permission when the status match is successful and the current operation step is consistent with the instruction sequence; automatically updating the instruction sequence status after the operation is completed and starting the next operation step verification. It should be noted that the SLAM technology refers to a technology that allows a device to build a map in real time in an unknown environment and synchronously determine its own position.

[0005] Furthermore, the generation of the AR navigation path specifically includes: constructing a point cloud map of the substation environment through the SLAM module; generating the optimal path according to the target device coordinates specified in the operation ticket; rendering the path indication arrows and safe area boundary markers in real time on the AR display interface; and triggering an alarm prompt when a person is detected to deviate from the path.

[0006] Furthermore, the generation of the digital operation instruction sequence includes: parsing the device number, operation type and sequential logic in the operation ticket text; converting each operation into a digital instruction containing device code, target state, and verification parameters; generating an instruction queue in the order of operations and adding a timestamp mark; and transmitting the instruction queue to the operation interface of the AR auxiliary equipment for layered display.

[0007] Furthermore, the device status information identification includes: collecting the image of the device body through the camera of the AR-assisted equipment; identifying the position status of the circuit breaker's opening and closing mechanical indicator; identifying the position of the pressure gauge pointer and the oil level gauge liquid level; and performing feature comparison between the identification result and the equipment standard status template.

[0008] Furthermore, the operation step matching verification includes: displaying the content of the operation instruction to be executed currently on the AR interface; confirming the consistency between the operation object and the target device code through spatial positioning technology; comparing the actual status of the device with the target status threshold required by the instruction; activating the electronic lock operation permission only when the device code and device status both match.

[0009] Furthermore, the AR auxiliary equipment includes: a binocular perspective AR display module; a multi-sensor fusion positioning module for integrating IMU (Inertial Measurement Unit), laser radar and UWB (Ultra-Wideband) positioning unit; a device status recognition module including a high-resolution optical zoom camera; and an operation instruction processing module for parsing and executing digital operation instruction sequences.

[0010] Furthermore, it also includes an integrated structure of a smart safety helmet: an AR display module is embedded in the helmet goggles in the form of a waveguide; a rotatable laser radar scanning device is set on the top of the helmet; a UWB positioning beacon and an anti-accidental collision buffer structure are set on the side of the helmet; and an operation instruction voice broadcast unit is set inside the helmet.

[0011] Furthermore, the SLAM implementation method includes: constructing a baseline 3D map using pre-collected substation cloud data; performing ICP registration of real-time LiDAR (Light Detection and Ranging) point cloud data with the baseline map; integrating visual odometry data to compensate for positioning drift; and establishing a safety positioning electronic fence that includes live area markers. It should be noted that LiDAR refers to radar technology, and ICP registration refers to the method of iteratively calculating the optimal rigid body transformation (rotation + translation) between two sets of point clouds to achieve the best possible spatial alignment.

[0012] Furthermore, it also includes an operation ticket exception handling mechanism: freezing the operation authority when it is detected that the actual operation sequence does not match the instruction sequence; triggering an expert assistance request when the equipment status continues to fail to reach the target value for more than a set period of time; automatically recording status matching abnormal events and on-site image data during the operation; and generating an anti-misoperation audit log containing spatiotemporal positioning information.

[0013] Furthermore, the equipment status judgment is based on a pre-built power equipment feature database: the database contains a set of standard state atlases for different equipment models; each type of atlas set contains opening and closing position features, normal pressure range features, and oil level critical threshold features; a topological association relationship is established between the feature data and the equipment nameplate information; and real-time image feature matching is achieved through a convolutional neural network.

[0014] In the second aspect, the present invention also provides a substation switching anti-misoperation device based on AR technology, including: one or more processors; a memory, storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement any of the substation switching anti-misoperation methods based on AR technology.

[0015] In a third aspect, the present invention provides a storage medium comprising computer-executable instructions, which, when executed by a computer processor, are used to execute any of the aforementioned methods for preventing misoperation of substation switching based on AR technology.

[0016] Beneficial effects

[0017] The present invention's method, device, and storage medium for preventing misoperation of substation switching based on AR technology have significant beneficial effects in many aspects. In terms of operational accuracy and safety, the device status information is accurately acquired through image recognition technology, and is strictly matched and verified with the status required by the operating instructions. At the same time, the consistency judgment of the operating steps and the instruction sequence is combined. Only when the dual conditions are met can the device operation authority be unlocked, which greatly reduces the risk of misoperation. In addition, the AR navigation path guides the operator to accurately reach the target equipment location, avoiding the wrong interval, and ensuring the accuracy and safety of the operation from multiple links. In terms of operational efficiency, the digital operation instruction sequence converts the content of the operation ticket into clear digital instructions, and cooperates with the AR auxiliary equipment to display in layers, so that the operator can quickly understand the operation process; SLAM technology locates and generates the optimal path in real time, reducing the time for operators to find equipment and achieving efficient navigation; equipment status recognition uses a pre-built power equipment feature database and convolutional neural network to quickly complete image feature matching, speed up the equipment status judgment speed, and greatly improve the overall efficiency of switching operations. In terms of intelligence and automation, after the operation is completed, the instruction sequence status is automatically updated and the verification of the next operation step is started without excessive human intervention; the exception handling mechanism can automatically respond to abnormal situations such as inconsistent operation sequence and substandard equipment status, freeze operation permissions, trigger expert assistance and record abnormal data; AR auxiliary equipment integrates multiple advanced modules to realize intelligent operation assistance, which meets the needs of intelligent development of power grids and effectively promotes the intelligentization process of power grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0019] Figure 1 A step diagram of a method for preventing misoperation of substation switching based on AR technology provided by an embodiment of the present invention;

[0020] Figure 2 A working step diagram of the SLAM technology implementation method provided by an embodiment of the present invention;

[0021] Figure 3 This is a flow chart of a method for preventing misoperation of substation switching based on AR technology provided by an embodiment of the present invention.

[0022] Figure 4 A schematic structural diagram of a substation switching anti-misoperation device based on AR technology provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0024] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0025] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of the said features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme in which A and B are satisfied at the same time. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0026] In the traditional substation switching operation model, after receiving the dispatch order at the centralized control center, operations and maintenance personnel must issue and print an invoice in the production management system, simulate the steps on the five-prevention host computer, and transfer them to the five-prevention computer key. On-site operators then unlock and operate according to the order in the ticket. This model relies on manual, step-by-step operation, which is prone to problems such as entering the wrong interval and operating equipment incorrectly. Furthermore, with the development of intelligent power grid technology, the traditional model is no longer able to meet the needs of intelligentization, hindering the progress of intelligent power grids. Domestic and foreign scholars have conducted research on substation switching error prevention technology and achieved results. At the same time, AR technology is widely used in various industries such as electricity, healthcare, and gaming. In the power sector, there have also been many attempts in training, inspection, and operations and maintenance. However, research on AR technology to prevent error-prone substation switching operations is still rare in China.

[0027] refer to Figure 1 The present invention relates to a method for preventing misoperation of substation switching based on AR technology, which is particularly suitable for ensuring the safety of electrical equipment operation in complex environments of high-voltage substations. The working steps of this embodiment include:

[0028] S110: Receive an operation instruction and start the AR auxiliary equipment to load a three-dimensional spatial map of the target substation;

[0029] S120 uses SLAM technology to locate the operator's position in real time, generate an AR navigation path and overlay it on the real scene;

[0030] S130: Generate a digital operation instruction sequence based on the operation ticket content and synchronize it to the AR auxiliary equipment; after arriving at the target device location, obtain device status information through image recognition technology;

[0031] S140, matching and verifying the actual state of the device with the state required by the operation instruction;

[0032] S150: When the status matches successfully and the current operation steps are consistent with the instruction sequence, unlock the device operation permission;

[0033] S160: After the operation is completed, the instruction sequence status is automatically updated and the verification of the next operation step is started.

[0034] This method builds a multi-layered anti-misoperation verification mechanism by integrating spatial positioning, computer vision and digital operation process technology. During the specific implementation process, the operator wears special AR auxiliary equipment to enter the substation operation area. The equipment integrates a binocular perspective display module, a multi-sensor positioning system and an equipment status recognition module. When the system starts, it automatically loads the three-dimensional spatial map of the target substation. The map is constructed through pre-collected laser point cloud data and contains key spatial information such as equipment coordinates, safety area boundaries and warning signs for live equipment. When the centralized control center issues an operation instruction, the production management system automatically generates a structured operation ticket. The system parses the equipment number, operation type and sequential logic in the operation ticket, and converts it into a digital instruction sequence containing equipment code, target status, and verification parameters. It is then synchronized to the operation instruction processing module of the AR auxiliary equipment through encrypted wireless transmission.

[0035] The operator moves toward the target area according to the navigation path displayed in the AR interface. Navigation is achieved using simultaneous localization and mapping (SLAM) technology. The positioning module uses a rotatable lidar scanner on the top of the helmet to collect environmental point cloud data in real time. It then performs iterative closest point (ICP) registration calculations against a pre-stored baseline 3D map. It also integrates acceleration data from the inertial measurement unit (IMU) and distance information from an ultra-wideband (UWB) positioning beacon. During positioning, the system establishes a northeast-celestial coordinate system as a spatial reference and calculates the operator's 3D coordinates (X, Y, Z) and heading angle θ in the world coordinate system in real time. The positioning engine outputs a pose matrix every 200 milliseconds, using coordinate transformation to convert the target device's position into relative coordinates from the operator's perspective. In the AR display, the system uses perspective projection technology to render path-indicating arrows in real time. The arrow color changes dynamically based on the operator's movement speed: blue indicates normal progress, yellow indicates approaching a turning point, and red indicates deviation from the planned path by more than 1.5 meters. The boundary of the safe area is displayed in the form of a translucent red curtain wall. When a person is detected approaching a live interval, the bone conduction earphones built into the helmet emit an alarm tone with a frequency of 2000Hz.

[0036] Upon reaching the target equipment area, the system automatically triggers the device identification process. The operator captures an image of the equipment using the high-resolution optical zoom camera on the forehead of the helmet. With a 30x optical zoom capability, the camera can clearly capture details of the circuit breaker's mechanical indicators from up to 10 meters away. After the image is transmitted to the device status identification module, the device type is first identified using the YOLOv5 model to locate key components such as the circuit breaker's open / close position indicator, pressure gauge, and oil level gauge. For open / close status determination, the system extracts the center coordinates of the red-marked area of ​​the indicator and calculates its deviation from the reference position. A deviation of less than 5 pixels indicates closed status, greater than 15 pixels indicates open status, and any deviation in between indicates an abnormal status. Pressure gauge identification uses a circular scale segmentation algorithm, dividing the dial into 36 10-degree sectors. A Hough transform is used to detect the angle between the pointer axis and the zero reference line, and this angle is converted to the actual pressure value based on the meter's range. Oil level gauge recognition uses HSV color space segmentation to extract the liquid level boundary, and then calculates the oil level using the scale after perspective transformation correction. All recognition results are matched using a feature comparison engine against a pre-built database of power equipment features. This database contains standardized state maps for equipment from different manufacturers. Each map contains 128-dimensional feature vectors, covering features such as switch opening and closing status, normal pressure range, and critical oil level thresholds.

[0037] After confirming the device status, the operation steps enter the dual verification phase. The left column of the AR interface displays the content of the current operation instruction, including the device's KKS code, target status, and operational precautions. The spatial positioning module confirms the identity of the operating object through the target device's QR code label or specific shape features. Operation matching verification is activated when the operating handle is less than 0.5 meters away from the target device. The verification engine simultaneously compares three key parameters: the actual device status and the target state threshold required by the instruction; the order of the current operation step in the digital instruction sequence; and the device topological association status (such as the locking relationship between the grounding switch and the circuit breaker). After verification, the system sends a 128-bit encrypted unlock command to the electronic lock via the Bluetooth 5.0 protocol, and the AR interface displays a green operation permission icon. During the operation, the helmet's built-in wide-angle camera continuously records the operation video, which is compressed using H.265 encoding and transmitted back to the backend server in real time. It should be noted that the KKS code is a standardized classification and coding system used in power plants and substations to uniformly identify equipment, systems, and locations.

[0038] The generation of the AR navigation path specifically includes: constructing a point cloud map of the substation environment through the SLAM module; generating an optimal path based on the target device coordinates specified in the operation ticket; rendering the path indicator arrows and safe area boundary markers in real time on the AR display interface; and triggering an alarm prompt when a person is detected to deviate from the path.

[0039] The generation of digital operation instruction sequences includes: parsing the device number, operation type and sequential logic in the operation ticket text; converting each operation into a digital instruction containing the device code, target state and verification parameters; generating an instruction queue in the order of operations and adding a timestamp mark; and transmitting the instruction queue to the operation interface of the AR-assisted equipment for layered display.

[0040] The device status information recognition process involves: capturing an image of the device using an AR-assisted camera; identifying the position of the circuit breaker's open / closed mechanical indicator; identifying the pressure gauge pointer position and oil level; and comparing the recognition results with the device's standard status template. The AR interface displays the current operational instructions; confirms the consistency between the operational object and the target device code using spatial positioning technology; compares the actual device state with the target state threshold required by the instruction; and activates the electronic lock operation permission only when both the device code and device state match.

[0041] In some embodiments, AR-assisted equipment designed based on this embodiment includes: a binocular perspective AR display module; a multi-sensor fusion positioning module integrating an IMU, a LiDAR, and a UWB positioning unit; a device status recognition module including a high-resolution optical zoom camera; and an operation instruction processing module for parsing and executing digital operation instruction sequences. The device also includes an integrated intelligent safety helmet structure: the AR display module is embedded in the helmet visor in the form of a waveguide; a rotatable LiDAR scanning device is installed on the top of the helmet; a UWB positioning beacon and a collision prevention buffer structure are installed on the side of the helmet; and an operation instruction voice broadcast unit is installed inside the helmet.

[0042] refer to Figure 2 , the steps for implementing SLAM technology include:

[0043] S1201. Construct a baseline three-dimensional map using pre-collected substation cloud data.

[0044] S1202, real-time collection of LiDAR point cloud data and benchmark map for ICP registration;

[0045] S1203: Fuse visual odometry data to compensate for positioning drift; and establish a safety positioning electronic fence that includes live area markers.

[0046] A mechanism for handling operation ticket anomalies is established, freezing operation permissions when the actual operation sequence is detected to be inconsistent with the instruction sequence; triggering a request for expert assistance when the equipment status continues to fail to reach the target value for more than a set period of time; automatically recording state matching anomalies and on-site image data during the operation; and generating an audit log to prevent misoperation containing spatiotemporal positioning information. The equipment status determination is based on a pre-built power equipment feature database: the database contains a set of standard state maps for different equipment models; each type of map set includes features for opening and closing positions, normal pressure range features, and critical oil level threshold features; a topological association is established between the feature data and the equipment nameplate information; and real-time image feature matching is achieved through a convolutional neural network.

[0047] In terms of exception handling mechanisms, the system has established a three-level error prevention guarantee: when a deviation between the actual operation sequence and the instruction sequence is detected (such as skipping step 3 and directly executing step 5), the operation permission is immediately frozen and a red warning box pops up on the AR interface; when the device status continues to fail to reach the target value for more than 120 seconds (such as the pressure gauge rising speed is lower than the set threshold), an expert assistance request is automatically triggered, and the on-site video stream and device parameters are pushed to the remote support terminal; all abnormal operation events are recorded in an audit log containing millisecond timestamps and device coordinates, and the log is encrypted and stored using the national secret SM4 algorithm. After the operation is completed, the system automatically updates the instruction sequence status, and the navigation module plans the optimal path to the next operation point.

[0048] The deployment and implementation of the system requires the completion of three basic tasks: the first is the construction of a three-dimensional map of the substation, using a vehicle-mounted laser scanning system to collect point cloud data along the predetermined route, with a point cloud density of no less than 16 points per square meter, and generating a two-dimensional elevation map and a three-dimensional surface model with an accuracy of 0.1 meters through rasterization processing. The second is the construction of a device feature library, collecting 72 sets of status images under different lighting conditions for each device in the station, and training a dedicated recognition model based on the ResNet50 network through transfer learning. The model input size is adjusted to 640×480 pixels, and the output layer uses a Sigmoid function for multi-label classification. The last is the development of a digital interface for operation tickets, adding an XML format output module to the existing production management system, parsing the operation items into<OperationID,DeviceCode,TargetState,TimeLimit> Structured tuples.

[0049] A typical embodiment takes the 220kV substation line shutdown operation as an example: after the operator wearing the AR smart safety helmet receives the "2212 switch from operation to maintenance" instruction, the AR interface displays the navigation path pointing to the 2212 interval. After reaching the target position, the camera automatically identifies the circuit breaker opening position (the red mark of the indicator is 18 pixels away from the reference point), the pressure gauge reads 0.86MPa (in the normal range of 0.8-1.0MPa), and the system unlocks the electric operating mechanism. After the operator performs the opening, the system detects the opening signal and automatically jumps to the next operation item "pull open the 22122 knife switch". When the operator mistakenly walks towards the 22121 knife switch, the AR interface immediately displays a "device code mismatch" warning and locks the electric control power supply. The entire operation process generates an audit log containing 42 status verification records, and the operation time is shortened by 23 minutes compared to the traditional mode.

[0050] The key innovation of this invention lies in the establishment of a triple-layer error prevention mechanism: spatial positioning, equipment identification, and process verification. AR-SLAM fusion positioning enables meter-level navigation accuracy, preventing accidental entry into live compartments. Multimodal equipment status recognition enables simultaneous verification of physical location and electrical status. Digital operation sequence matching ensures strict compliance with operational procedures. This technical solution effectively addresses safety hazards associated with traditional switching operations, such as entering the wrong compartment, misjudging status, and missing operations, providing core technical support for the development of smart substations.

[0051] In the second aspect, the present invention also provides a substation switching anti-misoperation device based on AR technology, including: one or more processors; a memory, storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement any of the substation switching anti-misoperation methods based on AR technology.

[0052] In a third aspect, the present invention provides a storage medium comprising computer-executable instructions, which, when executed by a computer processor, are used to execute any of the AR-based methods for preventing misoperation of substation switching.

[0053] Figure 4 This is a schematic diagram of the structure of the substation switching anti-misoperation device based on AR technology provided in the embodiment of the present application, with reference to Figure 3 The AR-based substation switching anti-misoperation device includes: a processor 31, a memory 32, a communication device 33, an input device 34, and an output device 35. The number of processors 31 in the AR-based substation switching anti-misoperation device can be one or more, and the number of memories 32 in the AR-based substation switching anti-misoperation device can be one or more. The processor 31, memory 32, communication device 33, input device 34, and output device 35 of the AR-based substation switching anti-misoperation device can be connected via a bus or other means.

[0054] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer executable programs, and modules, such as the program instructions / modules corresponding to the method for preventing misoperation of substation switching based on AR technology in any embodiment of the present application. The memory 32 may mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device, etc. In addition, the memory 32 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory may further include a memory remotely located relative to the processor, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0055] The communication device 33 is used for data transmission.

[0056] The processor 31 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 32, that is, realizes the above-mentioned substation switching anti-misoperation method based on AR technology.

[0057] The input device 34 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 35 may include a display device such as a display screen.

[0058] The substation switching anti-misoperation device based on AR technology provided above can be used to implement the substation switching anti-misoperation method based on AR technology provided in the above embodiment, and has corresponding functions and beneficial effects.

[0059] An embodiment of the present application also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to execute a method for preventing misoperation of a substation switching operation based on AR technology. A method for preventing misoperation of a substation switching operation based on AR technology comprises the following steps: receiving an operation instruction and starting AR auxiliary equipment, loading a three-dimensional spatial map of a target substation; locating the operator's position in real time through SLAM technology, generating an AR navigation path and superimposing it on a real scene; generating a digital operation instruction sequence according to the content of the operation ticket, and synchronizing it to the AR auxiliary equipment; after arriving at the target device position, obtaining device status information through image recognition technology; matching and verifying the actual status of the device with the status required by the operation instruction; unlocking the device operation permission when the status match is successful and the current operation step is consistent with the instruction sequence; automatically updating the instruction sequence status after the operation is completed and starting the next operation step verification.

[0060] Storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROMs, floppy disks, or tape drives; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disks or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the first computer system in which the program is executed, or may be located in a different second computer system that is connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations (e.g., in different computer systems connected via a network). The storage medium may store program instructions (e.g., embodied as a computer program) that can be executed by one or more processors.

[0061] Of course, the storage medium containing computer-executable instructions provided in an embodiment of the present application is not limited to the above-mentioned method for preventing misoperation of substation switching based on AR technology, and can also execute related operations in the method for preventing misoperation of substation switching based on AR technology provided in any embodiment of the present application.

[0062] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made by using the contents of the present invention description and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A method for preventing misoperation of substation switching based on AR technology, characterized by: The following steps are involved: Receive operation instructions and start AR auxiliary equipment to load the 3D spatial map of the target substation; Use SLAM technology to locate the operator's position in real time, generate an AR navigation path and overlay it on the real scene; Generate digital operation instruction sequence based on the operation ticket content and synchronize it to AR auxiliary equipment; After arriving at the target device location, the device status information is obtained through image recognition technology; Verify the matching between the actual status of the equipment and the status required by the operating instructions; When the status matches successfully and the current operation steps are consistent with the instruction sequence, the device operation permission is unlocked; After the operation is completed, the instruction sequence status is automatically updated and the next operation step verification is started.

2. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: The generation of the AR navigation path specifically includes: Build a point cloud map of the substation environment through the SLAM module; generate the optimal path based on the target device coordinates specified in the operation ticket; render the path indicator arrows and safe area boundary markers in real time on the AR display interface; and trigger an alarm prompt when a person is detected to deviate from the path.

3. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: The generation of the digital operation instruction sequence includes: Parse the device number, operation type, and sequential logic in the operation ticket text; convert each operation into a digital instruction containing the device code, target status, and verification parameters; generate an instruction queue in the order of operations and add a timestamp; transmit the instruction queue to the operation interface of the AR-assisted equipment for hierarchical display.

4. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: The device status information identification includes: The camera of the AR-assisted equipment is used to capture the image of the equipment body; the position status of the circuit breaker's opening and closing mechanical indicator is identified; the position of the pressure gauge pointer and the oil level gauge are identified; and the features of the identification results are compared with the equipment's standard status template.

5. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: The operation step matching verification includes: The content of the current operation instruction to be executed is displayed on the AR interface; the consistency of the operation object and the target device code is confirmed through spatial positioning technology; the actual status of the device is compared with the target status threshold required by the instruction; the electronic lock operation permission is activated only when the device code and device status match.

6. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: The AR auxiliary equipment includes: Binocular perspective AR display module; Multi-sensor fusion positioning module for integrating IMU, lidar and UWB positioning unit; Device status recognition module, including a high-resolution optical zoom camera; The operation instruction processing module is used to parse and execute digital operation instruction sequences.

7. The method for preventing misoperation of substation switching based on AR technology according to claim 6 is characterized in that: Also includes smart safety helmet integrated structure: The AR display module is embedded in the helmet goggles in the form of a waveguide; a rotatable lidar scanning device is set on the top of the helmet; a UWB positioning beacon and an anti-accidental collision buffer structure are set on the side of the helmet; and an operation instruction voice broadcast unit is set inside the helmet.

8. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: The SLAM technology implementation method comprises the following steps: A baseline 3D map is constructed using pre-collected cloud data from substations. LiDAR point cloud data is collected in real time and then ICP-aligned with the baseline map. Visual odometry data is integrated to compensate for positioning drift. A safety positioning electronic fence is established that includes live area markers.

9. The method for preventing misoperation of substation switching based on AR technology according to claim 1 is characterized in that: It also includes an operation ticket exception handling mechanism: Freeze operation permissions when it is detected that the actual operation sequence does not match the instruction sequence; trigger a request for expert assistance when the device status continues to fail to reach the target value for more than the set time; automatically record status matching abnormal events and on-site image data during the operation; generate an anti-misoperation audit log containing spatiotemporal positioning information.

10. The method for preventing misoperation of substation switching based on AR technology according to claim 1, characterized in that: The device status determination is based on a pre-built power equipment feature database: The database contains a set of standard state maps for different equipment models; Each type of atlas contains the characteristics of opening and closing positions, normal pressure range characteristics, and critical oil level threshold characteristics; A topological association is established between the feature data and the equipment nameplate information, and real-time image feature matching is achieved through convolutional neural networks.

11. A substation switching anti-misoperation device based on AR technology, characterized in that: include: one or more processors; A memory storing one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the substation switching anti-misoperation method based on AR technology as described in any one of claims 1-10.

12. A storage medium containing computer-executable instructions, characterized in that: When executed by a computer processor, the computer executable instructions are used to execute the substation switching misoperation prevention method based on AR technology as described in any one of claims 1 to 10.

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