Inspection methods, devices, and readable storage media for the inspection area

Abstract

This invention discloses a method, apparatus, and readable storage medium for inspecting an inspection area. The method includes: acquiring a scene image of the area to be inspected, wherein the image content includes the scene in which the inspection area is located; determining the scene state of the area to be inspected based on the scene image, wherein the scene state indicates the state of the transmission lines within the area to be inspected and / or the state of the environment in which the transmission lines are located, and the scene state includes at least a normal scene state and an abnormal scene state; generating an inspection task in response to the scene state being an abnormal scene state; determining the inspection route of the inspection equipment based on the inspection task; and controlling the inspection equipment to inspect the area to be inspected according to the inspection route. This invention solves the technical problem of low inspection efficiency.

Description

Technical Field

[0001] This invention relates to the field of circuit inspection technology, and more specifically, to an inspection method, apparatus, and readable storage medium for an inspection area. Background Technology

[0002] Currently, transmission lines are a crucial link in ensuring the stable operation of the power system and guaranteeing the security of power supply. Regular inspections of transmission lines can promptly identify potential problems, effectively prevent faults from occurring, and avoid greater losses.

[0003] In current technologies, power transmission lines are prone to anomalies due to external or internal operating environments. To prevent potential hazards, manual inspections are typically conducted on-site to record problems and identify and address any issues. However, current inspection routes are usually pre-set by the system after the transmission line is erected. Workers arrive at designated inspection points within a predetermined timeframe and inspect the line and surrounding environment by observation or climbing scaffolding, recording the data. This manual inspection suffers from problems such as untimely inspections, low efficiency, and personal safety hazards. Furthermore, when recording large amounts of data, data loss is likely, operations are cumbersome, and inspection costs increase. Therefore, there is a technical problem of low inspection efficiency.

[0004] There is currently no effective solution to the aforementioned technical problem of low inspection efficiency. Summary of the Invention

[0005] This invention provides a method, apparatus, and readable storage medium for inspecting an inspection area, in order to at least solve the technical problem of low inspection efficiency.

[0006] According to one aspect of the present invention, an inspection method for an inspection area is provided. The method may include: acquiring a scene image of the area to be inspected, wherein the image content of the scene image includes the scene in which the inspection area is located; determining the scene state of the area to be inspected based on the scene image, wherein the scene state is used to indicate the state of the transmission lines within the area to be inspected and / or the state of the environment in which the transmission lines are located, and the scene state includes at least a normal scene state and an abnormal scene state; generating an inspection task in response to the scene state being an abnormal scene state; determining an inspection route for the inspection equipment based on the inspection task; and controlling the inspection equipment to inspect the area to be inspected according to the inspection route.

[0007] Optionally, based on the scene image, the scene state of the area to be inspected is determined, including: obtaining weather change information of the area to be inspected, wherein the weather change information is used to indicate the weather changes from the end of the last inspection task to the current time; inputting the weather change information and the scene image into an anomaly recognition model for analysis to determine the scene state of the area to be inspected, wherein the anomaly recognition model is a pre-set recognition model.

[0008] Optionally, based on the inspection task, the inspection route of the inspection equipment is determined, including: based on the inspection task, determining the distribution location of the transmission lines and the geographical environment of the area to be inspected; based on the distribution location and geographical environment, determining multiple inspection points; and integrating the preset routes corresponding to the multiple inspection points to determine the inspection route.

[0009] Optionally, the inspection equipment is controlled to inspect the area to be inspected according to the inspection route, including: obtaining the location information of the inspection equipment; matching the location information with the location of the inspection point in the inspection route to obtain a matching result; and responding to the matching result that the location information matches the location of the inspection point, controlling the inspection equipment to inspect the area to be inspected according to the inspection route.

[0010] Optionally, the inspection method for the inspection area further includes: in response to the matching result that the location information does not match the location of the inspection point, determining the movement parameters of the inspection equipment, wherein the movement parameters are data used to indicate the movement of the inspection equipment; and adjusting the inspection equipment based on the movement parameters.

[0011] Optionally, the inspection method for the inspection area further includes: uploading the inspection information obtained by the inspection equipment to the server, wherein the inspection information is used to instruct the inspection equipment to inspect the inspection results of the area to be inspected.

[0012] According to another aspect of the present invention, an inspection device for an inspection area is also provided. The device may include: an acquisition unit, configured to acquire a scene image of the area to be inspected, wherein the image content of the scene image includes the scene in which the inspection area is located; a first determination unit, configured to determine the scene state of the area to be inspected based on the scene image, wherein the scene state is used to indicate the state of the transmission lines within the area to be inspected and / or the state of the environment in which the transmission lines are located, and the scene state includes at least a normal scene state and an abnormal scene state; a generation unit, configured to generate an inspection task in response to the scene state being an abnormal scene state; a second determination unit, configured to determine the inspection route of the inspection equipment based on the inspection task; and a control unit, configured to control the inspection equipment to inspect the area to be inspected according to the inspection route.

[0013] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein, when the program is run by a processor, it controls the device where the storage medium is located to execute the inspection method of the inspection area in the embodiments of the present invention.

[0014] According to another aspect of the present invention, a processor is also provided. The processor is used to run a program, wherein the program executes the inspection method for the inspection area according to the embodiments of the present invention.

[0015] According to another aspect of the present invention, a computer program product is also provided. The program product includes computer instructions that, when executed by a processor, implement the inspection method for the inspection area in the embodiments of the present invention.

[0016] In this embodiment of the invention, a scene image of the area to be inspected is acquired, wherein the image content of the scene image includes the scene in which the inspection area is located; based on the scene image, the scene state of the area to be inspected is determined, wherein the scene state is used to indicate the state of the transmission lines and / or the state of the environment in which the transmission lines are located within the area to be inspected, and the scene state includes at least a normal scene state and an abnormal scene state; in response to the scene state being an abnormal scene state, an inspection task is generated; based on the inspection task, the inspection route of the inspection equipment is determined; and the inspection equipment is controlled to inspect the area to be inspected according to the inspection route. In other words, this embodiment of the invention determines the scene state of the area to be inspected through a scene image of the area to be inspected, thereby determining whether inspection should be performed. When the scene state is an abnormal scene state, it indicates that the area to be inspected is abnormal and needs to be inspected. Based on this, an inspection task is generated, and the inspection equipment is controlled to perform inspection according to the inspection route, reducing the intervention of manual operation, thereby solving the technical problem of low inspection efficiency and achieving the technical effect of improving inspection efficiency. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0018] Figure 1 This is a flowchart of an inspection method for an inspection area according to an embodiment of the present invention;

[0019] Figure 2 This is a flowchart of a collaborative method for power transmission line inspection based on unmanned aerial vehicles (UAVs) according to an embodiment of the present invention;

[0020] Figure 3 This is a schematic diagram of an inspection device for an inspection area according to an embodiment of the present invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention 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 embodiments of the invention 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 a non-exclusive inclusion; for example, a process, method, system, functional component, or device 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, functional components, or devices.

[0023] According to an embodiment of the present invention, an embodiment of an inspection method for an inspection area is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0024] Figure 1 This is a flowchart of an inspection method for an inspection area according to an embodiment of the present invention, such as... Figure 1 As shown, the method may include the following steps:

[0025] Step S101: Obtain scene images of the area to be inspected.

[0026] In the technical solution provided by step S101 of the present invention, the image content of the scene image includes the scene where the inspection area is located. The scene image can also be referred to as a satellite remote sensing image.

[0027] In this embodiment, scene images of the area to be inspected are acquired. For example, scene images of the area to be inspected can be acquired through various remote sensing platforms. This is merely an example and does not limit the specific method for acquiring scene images of the area to be inspected.

[0028] Step S102: Determine the scene status of the area to be inspected based on the scene image.

[0029] In the technical solution provided in step S102 of the present invention, the scene state is used to indicate the state of the transmission line in the area to be inspected and / or the state of the environment in which the transmission line is located. The scene state includes at least a normal scene state and an abnormal scene state. The scene state can also be referred to as the surrounding environment state of the transmission line.

[0030] In this embodiment, after obtaining the scene image of the area to be inspected in step S101, the scene state of the area to be inspected is determined based on the scene image. For example, an anomaly recognition model can be used to determine the scene state of the area to be inspected. This is only an example and does not limit the specific method for determining the scene state of the area to be inspected.

[0031] For example, machine learning models and historical satellite remote sensing imagery can be used to build anomaly detection models. These models can then be used to determine whether any anomalies exist in power transmission lines and their surrounding environment.

[0032] Step S103: In response to the scene state being an abnormal scene state, an inspection task is generated.

[0033] In the technical solution provided by step S103 of the present invention, after determining the scene state of the area to be inspected in step S102, an inspection task is generated when the scene state is an abnormal scene state.

[0034] In this embodiment, when the scene state is an abnormal scene state, it indicates that the area to be inspected is abnormal and needs to be inspected. Based on this, an inspection task is generated.

[0035] Optionally, abnormal scenario states may include, but are not limited to: snow accumulation on power transmission lines, excessively tall trees around power transmission lines, hanging objects or obstacles on power transmission line cables, and environmental anomalies such as mudslides around power transmission lines.

[0036] Step S104: Based on the inspection task, determine the inspection route of the inspection equipment.

[0037] In the technical solution provided by step S104 of the present invention, after determining the inspection route of the inspection equipment in step S103, the inspection route of the inspection equipment is determined according to the inspection task.

[0038] In this embodiment, the distribution location of power transmission lines and the geographical environment of the inspection area are extracted from the inspection task, so as to determine multiple inspection points and drone inspection routes based on the extracted information.

[0039] For example, each inspection point corresponds to a drone inspection route; that is, each inspection point has an initial drone inspection route. When each inspection point is completed, the drone-based power transmission line inspection collaborative system automatically records the inspection route for that point and updates the inspection routes for all inspection points within the system. Preferably, inspection points are typically set up on transmission line equipment within the power transmission line, such as each tower or transformer. By using the transmission line equipment as inspection points, drones are used to inspect the equipment and surrounding environment of the power transmission line.

[0040] Step S105: Control the inspection equipment and inspect the area to be inspected according to the inspection route.

[0041] In the technical solution provided by step S105 of the present invention, the inspection equipment can be at least a drone.

[0042] In this embodiment, after determining the inspection route of the inspection equipment in step S104, the inspection equipment is controlled to inspect the area to be inspected according to the inspection route.

[0043] Optionally, the inspection task can be assigned to the inspector's mobile terminal, so that the inspector can carry the mobile terminal and inspection drone to each inspection point to carry out the inspection according to the inspection task.

[0044] For example, when an inspection point is being inspected for the first time, there is no drone inspection route in the system, prompting the inspector to begin manual inspection. After the manual inspection is completed, the current inspection route is automatically recorded and uploaded to the system, recorded as the drone inspection route for the inspection point. When the inspection point is not being inspected for the first time, the drone inspection route stored in the system is retrieved via a mobile terminal, and automatic inspection is initiated. When inspection begins, the terminal device sends an inspection start request to the backend server to obtain the drone inspection route for the corresponding inspection point, and then distributes the drone inspection route to the drone, enabling the drone to perform automatic inspection according to the drone inspection route, while simultaneously recording automatic inspection data. During automatic inspection, the drone also sends inspection images to the terminal device in real time for the inspector to view. When the inspector needs to perform a specific scan on a certain area based on the inspection image, they can send an automatic inspection pause command to the drone and then manually control the drone for manual inspection. When manual inspection is required, the terminal device sends an automatic inspection pause command to the drone, causing the drone to suspend automatic inspection and record the automatic inspection interruption point. Then, it receives control commands from the terminal device in real time to perform manual inspection and record the manual inspection data. When the manual inspection ends, the terminal device sends a manual inspection end command to the drone, allowing the drone to resume automatic inspection based on the recorded automatic inspection interruption point and record the automatic inspection data.

[0045] It should be noted that the above embodiments can be implemented using a drone-based power transmission line inspection collaborative system.

[0046] In steps S101 to S105 of the present invention, a scene image of the area to be inspected is obtained, wherein the image content of the scene image includes the scene in which the inspection area is located; based on the scene image, the scene state of the area to be inspected is determined, wherein the scene state is used to indicate the state of the transmission lines and / or the state of the environment in which the transmission lines are located within the area to be inspected, and the scene state includes at least a normal scene state and an abnormal scene state; in response to the scene state being an abnormal scene state, an inspection task is generated; based on the inspection task, the inspection route of the inspection equipment is determined; and the inspection equipment is controlled to inspect the area to be inspected according to the inspection route. In other words, the embodiments of the present invention determine the scene state of the area to be inspected through the scene image of the area to be inspected, thereby determining whether inspection should be performed. When the scene state is an abnormal scene state, it indicates that the area to be inspected is abnormal and needs to be inspected. Based on this, an inspection task is generated, and the inspection equipment is controlled to perform inspection according to the inspection route, reducing the intervention of manual operation, thereby solving the technical problem of low inspection efficiency and achieving the technical effect of improving inspection efficiency.

[0047] The method described in this embodiment will be further described below.

[0048] As an optional implementation method, the scene state of the area to be inspected is determined based on the scene image, including: obtaining weather change information of the area to be inspected, wherein the weather change information is used to indicate the weather changes from the end of the last inspection task to the current time; inputting the weather change information and the scene image into an anomaly recognition model for analysis to determine the scene state of the area to be inspected, wherein the anomaly recognition model is a pre-set recognition model.

[0049] In this embodiment, weather change information of the inspection area is obtained. For example, starting from the end time of the last inspection, the weather changes in the inspection area are recorded by setting certain conditions, such as the possibility of snow accumulation on the power transmission lines when there are several consecutive days of heavy snow.

[0050] Optionally, after acquiring weather change information, the weather change information and scene images are input into an anomaly recognition model for analysis to determine the scene status of the area to be inspected. For example, a database can be constructed by acquiring historical satellite remote sensing images of the transmission line and its surrounding environment, and an anomaly recognition model can be built by combining this database with a machine learning model. The anomaly recognition model is then used to determine whether there are any anomalies in the transmission line and its surrounding environment.

[0051] As an optional implementation method, the inspection route of the inspection equipment is determined based on the inspection task, including: determining the distribution location of the transmission line and the geographical environment of the area to be inspected based on the inspection task, and determining multiple inspection points; integrating the preset routes corresponding to the multiple inspection points to determine the inspection route.

[0052] In this embodiment, the distribution location of transmission lines and the geographical environment of the area to be inspected are determined based on the inspection task. For example, corresponding areas are extracted from the area to be inspected based on the inspection task, thereby determining the distribution location of transmission lines and the geographical environment of the area to be inspected.

[0053] Optionally, inspection points can be determined based on their distribution location and geographical environment, thereby integrating the preset routes corresponding to the inspection points to determine the inspection route. For example, by integrating the distribution location and geographical environment, the locations that need to be inspected in the area to be inspected, i.e., the inspection points, can be determined.

[0054] For example, each inspection point corresponds to a specific drone inspection route. When each inspection point is completed, the system automatically records the inspection route for that point and updates the inspection routes for all points within the system. Inspection points are typically set up on transmission line equipment, such as each tower or transformer within the transmission line. Inspection routes are determined by using the transmission line equipment as inspection points.

[0055] As an optional embodiment, controlling the inspection equipment to inspect the area to be inspected according to the inspection route includes: obtaining the location information of the inspection equipment; matching the location information with the location of the inspection point in the inspection route to obtain a matching result; and in response to the matching result that the location information matches the location of the inspection point, controlling the inspection equipment to inspect the area to be inspected according to the inspection route.

[0056] In this embodiment, the location information of the inspection equipment is obtained, and the location information is matched with the locations of inspection points in the inspection route to obtain a matching result. The inspection equipment can be a drone, and the location information can also be referred to as the positioning location.

[0057] Optionally, when the matching result shows that the location information matches the location of the inspection point, it means that the drone is in the correct position and the inspection can be started. Based on this, the inspection equipment is controlled to inspect the area to be inspected according to the inspection route.

[0058] For example, a mobile terminal and an inspection drone are connected to obtain the drone's location and determine whether the drone's location is the same as the current inspection point. If so, the drone is started and the drone's inspection route is sent to the drone so that the inspection drone can perform automatic inspection according to the drone's inspection route.

[0059] As an optional embodiment, the inspection method for the inspection area further includes: in response to the matching result that the location information does not match the location of the inspection point, determining the movement parameters of the inspection equipment, wherein the movement parameters are data used to indicate the movement of the inspection equipment; and adjusting the inspection equipment based on the movement parameters.

[0060] In this embodiment, when the matching result shows that the location information does not match the location of the inspection point, it means that the drone is not in a location that can be inspected and needs to be adjusted. Based on this, the movement parameters of the inspection equipment can be determined, and the inspection equipment can be adjusted according to the movement parameters.

[0061] For example, the location of the inspection drone is obtained, and it is determined whether the drone's location is the same as the current inspection point. If not, the drone is moved to locate it, the parameters that the drone needs to move are determined, and the drone's position is adjusted.

[0062] As an optional embodiment, the inspection method for the inspection area further includes: uploading the inspection information obtained by the inspection equipment to the server, wherein the inspection information is used to instruct the inspection equipment to inspect the inspection results of the area to be inspected.

[0063] In this embodiment, the inspection information acquired by the inspection equipment is uploaded to the server. For example, the inspection data recorded by the drone is acquired through a terminal device, and the inspection data of that inspection point is uploaded to the backend server in real time.

[0064] For example, the terminal equipment uploads the inspection data from each inspection point to the backend server, specifically via satellite in real time. Using satellite to transmit inspection data from each inspection point ensures data transmission stability and solves the problem of no signal outdoors. Simultaneously, the real-time upload of inspection data from each point to the backend server allows the server to further determine whether there are any potential hazards in the power transmission lines.

[0065] It should be noted that the above embodiments can be implemented using a drone-based power transmission line inspection collaborative system.

[0066] In this embodiment, a scene image of the area to be inspected is acquired, wherein the image content of the scene image includes the scene in which the inspection area is located; based on the scene image, the scene state of the area to be inspected is determined, wherein the scene state is used to indicate the state of the transmission lines and / or the state of the environment in which the transmission lines are located within the area to be inspected, and the scene state includes at least a normal scene state and an abnormal scene state; in response to the scene state being an abnormal scene state, an inspection task is generated; based on the inspection task, the inspection route of the inspection equipment is determined; and the inspection equipment is controlled to inspect the area to be inspected according to the inspection route. In other words, this embodiment of the invention determines the scene state of the area to be inspected through a scene image of the area to be inspected, thereby determining whether inspection should be performed. When the scene state is an abnormal scene state, it indicates that the area to be inspected is abnormal and needs to be inspected. Based on this, an inspection task is generated, and the inspection equipment is controlled to perform inspection according to the inspection route, reducing the intervention of manual operation, thereby solving the technical problem of low inspection efficiency and achieving the technical effect of improving inspection efficiency.

[0067] The technical solutions of the embodiments of the present invention will be illustrated below with reference to preferred embodiments.

[0068] Currently, transmission lines are a crucial link in ensuring the stable operation of the power system and guaranteeing the security of power supply. Regular inspections of transmission lines can promptly identify potential problems, effectively prevent faults from occurring, and avoid greater losses.

[0069] In current technologies, power transmission lines are prone to anomalies due to external or internal operating environments. To prevent potential hazards, manual inspections are typically conducted on-site to record problems and identify and address any issues. However, current inspection routes are usually pre-set by the system after the transmission line is erected. Workers arrive at designated inspection points within a predetermined timeframe and inspect the line and surrounding environment by observation or climbing scaffolding, recording the data. This manual inspection suffers from problems such as untimely inspections, low efficiency, and personal safety hazards. Furthermore, when recording large amounts of data, data loss is likely, operations are cumbersome, and inspection costs increase. Therefore, there is a technical problem of low inspection efficiency.

[0070] However, this invention proposes a collaborative method for power transmission line inspection based on unmanned aerial vehicles (UAVs). This method acquires satellite remote sensing images of the inspection area and, based on the distribution of power transmission lines within the area, determines whether there are any anomalies in the power transmission lines and their surrounding environment. If so, an inspection task is generated. The method acquires the inspection task and, based on the task, determines the distribution of power transmission lines and the geographical environment of the inspection area to derive multiple inspection points and UAV inspection routes. The inspection task is then distributed to the inspector's mobile terminal, enabling the inspector to carry the mobile terminal and inspection UAV to each inspection point for inspection. This solves the technical problem of low inspection efficiency and achieves the technical effect of improving inspection efficiency.

[0071] The embodiments of the present invention will be further described below.

[0072] Figure 2 This is a flowchart of a collaborative method for power transmission line inspection based on unmanned aerial vehicles (UAVs) according to an embodiment of the present invention, as shown below. Figure 2 As shown, the collaborative method for power transmission line inspection includes the following steps:

[0073] Step S201: Acquire satellite remote sensing images of the inspection area.

[0074] In this embodiment, satellite remote sensing images of the inspection area are acquired, for example, by acquiring satellite remote sensing images of the inspection area through various remote sensing platforms.

[0075] Step S202: Determine whether there are any abnormalities in the power transmission lines and the surrounding environment within the inspection area.

[0076] In this embodiment, the distribution location of the transmission lines in the inspection area is used to determine whether there are any abnormalities in the transmission lines and the surrounding environment of the transmission lines in the inspection area. If there are any abnormalities, step S203 is executed; if there are no abnormalities, the process ends.

[0077] Optionally, when determining whether an anomaly exists, a database can be constructed by acquiring historical satellite remote sensing images of the transmission line and its surrounding environment, and an anomaly detection model can be built by combining this database with a machine learning model. This anomaly detection model is then used to determine whether any anomalies exist in the transmission line and its surrounding environment.

[0078] Optionally, satellite remote sensing images of power transmission lines and their surrounding environment that show anomalies can be collected. Feature vectors can then be extracted from the images to obtain a set of feature vectors. The satellite remote sensing images of the inspection area acquired in real time can then be compared with the set of feature vectors to determine whether there are any anomalies in the power transmission lines and their surrounding environment. Based on the results of the anomalies, an inspection task can be generated.

[0079] Optionally, when generating inspection tasks, the weather conditions within the inspection area can be taken into account. For example, starting from the end time of the last inspection, the weather changes within the inspection area can be analyzed. By setting certain conditions, such as when there are several consecutive days of heavy snow, the transmission lines may accumulate snow, thus requiring inspection. Specifically, an anomaly detection model can be set, and an inspection task can be generated when the anomaly detection model is met.

[0080] Optionally, satellite remote sensing images can be used to determine whether there are any anomalies in the transmission line and its surrounding environment. If so, an inspection task can be generated in a timely manner for inspection, which can make the inspection task more targeted and solve the problem that the existing timed inspection may not be timely.

[0081] Alternatively, the anomalies here could be environmental anomalies such as snow accumulation on power transmission lines, excessively tall trees around power transmission lines, hanging objects or obstacles on power transmission line cables, or mudslides in the terrain around power transmission lines.

[0082] Optionally, each template library contains all possible information points of the terminal device, as well as detailed information such as the format, data type, and value range of these information points.

[0083] Step S203: Generate inspection tasks and determine the inspection route for the UAV.

[0084] In this embodiment, the inspection task is obtained and the distribution location of the transmission lines in the inspection area and the geographical environment of the inspection area are determined based on the inspection task to obtain multiple inspection points and drone inspection routes.

[0085] Optionally, each inspection point corresponds to a drone inspection route. Initially, each inspection point corresponds to an initial drone inspection route. When each inspection point is completed, the system automatically records the inspection route for that point and updates the inspection routes for all inspection points in the system. Preferably, the inspection points are generally set up on the transmission line equipment within the transmission line, such as each iron tower or transformer of the transmission line. By using the transmission line equipment as inspection points, drones are used to inspect the equipment and surrounding environment of the transmission line.

[0086] Optionally, in areas with special geographical environments, or near high-voltage equipment, to ensure the safety of inspectors, inspection points may not be located at the installation sites of the transmission line equipment, but rather within a certain range away from the installation sites. This allows inspectors to inspect the transmission line equipment without approaching it, ensuring their safety. Step S303 supports exporting and importing the point table after modification.

[0087] Step S204: The inspection task is sent to the inspector's mobile terminal to control the inspection drone to carry out the inspection.

[0088] In this embodiment, the inspection task is issued to the inspector's mobile terminal, so that the inspector can carry the mobile terminal and the inspection drone to each inspection point to carry out the inspection according to the inspection task.

[0089] Optionally, when the inspector carries the mobile terminal and the inspection drone to the corresponding inspection point, the mobile terminal and the inspection drone are first connected to obtain the location of the inspection drone, and it is determined whether the location of the drone is the same as the current location of the inspection point. If not, the inspection drone is moved to locate the drone; if so, the drone is started and the drone inspection route is sent to the drone so that the inspection drone can perform automatic inspection according to the drone inspection route.

[0090] Optionally, when an inspection point is being inspected for the first time, if there is no drone inspection route in the system, the inspector will be prompted to begin manual inspection. After the manual inspection is completed, the current inspection route will be automatically recorded and uploaded to the system, and recorded as the drone inspection route for the inspection point.

[0091] Optionally, when the inspection point is not being inspected for the first time, the drone inspection route stored in the system can be obtained through the mobile terminal to start automatic inspection.

[0092] Optionally, when the inspection begins, the terminal device sends an inspection start request to the backend server to obtain the drone inspection route for the corresponding inspection point, and then sends the drone inspection route to the drone, so that the drone can perform automatic inspection according to the drone inspection route, and record automatic inspection data during the automatic inspection process.

[0093] Optionally, during the automatic inspection process, the drone also sends inspection images to the terminal device in real time for the inspector to view. When the inspector needs to perform a specific scan on a certain area based on the inspection images, they can send an automatic inspection pause command to the drone and then manually control the drone for inspection, thus achieving manual inspection.

[0094] Optionally, when manual inspection is required, an automatic inspection pause command is sent to the drone through the terminal device to make the drone pause the automatic inspection and record the automatic inspection interruption point. Then, the control command of the terminal device is received in real time to perform manual inspection and record the manual inspection data.

[0095] Optionally, when the manual inspection ends, a manual inspection end command is sent to the drone via the terminal device, so that the drone can continue the automatic inspection according to the automatic inspection interruption point recorded in the system and record the automatic inspection data.

[0096] Optionally, when the drone inspection ends, the terminal device acquires the inspection data recorded by the drone and uploads the inspection data for that inspection point to the backend server in real time. Specifically, the terminal device uploads the inspection data of the inspection point to the backend server, and also transmits the inspection data in real time via satellite. Using satellite to transmit the inspection data for each inspection point ensures the stability of data transmission and solves the problem of no signal outdoors. Simultaneously, the real-time upload of the inspection data to the backend server allows the backend server to further determine whether there are any potential hazards in the power transmission lines.

[0097] Optionally, when the inspection of each inspection point is completed, the real-time inspection route of the inspection point is recorded and the drone inspection route stored in the system is updated to record the new drone inspection route.

[0098] Optionally, the inspection data includes image data of the power transmission line and its surrounding environment, as well as environmental data detected by environmental sensors installed inside the drone, such as temperature sensors and humidity sensors.

[0099] In this embodiment, the present application first uses satellite remote sensing imagery to determine in real time whether there are any anomalies in the transmission lines and their surrounding environment. If so, an inspection task is generated promptly to initiate the inspection of the transmission lines. This makes the inspection tasks more targeted and can promptly identify problematic transmission lines. Simultaneously, during the inspection process, unmanned aerial vehicles (UAVs) are used for automated inspection, replacing existing manual inspections. The assistance of UAVs significantly increases the efficiency of transmission line inspections, covering a larger area and eliminating any omissions. Furthermore, during the automated UAV inspection, manual intervention can be performed at any time to inspect specific areas of the transmission lines and their surrounding environment, ensuring greater precision and accuracy of the inspection data, building upon the foundation of automated unmanned inspection.

[0100] In this embodiment, satellite remote sensing images of the inspection area are acquired. Simultaneously, based on the distribution location of the power transmission lines within the inspection area, it is determined whether there are any anomalies in the power transmission lines and their surrounding environment. If so, an inspection task is generated. The inspection task is acquired, and based on the task, the distribution location of the power transmission lines and the geographical environment of the inspection area are determined to derive multiple inspection points and drone inspection routes. The inspection task is then sent to the inspector's mobile terminal, enabling the inspector to carry the mobile terminal and inspection drone to each inspection point for inspection. This solves the technical problem of low inspection efficiency and achieves the technical effect of improving inspection efficiency.

[0101] According to an embodiment of the present invention, an inspection device for an inspection area is also provided. It should be noted that this inspection device for an inspection area can be used to execute the inspection method for the inspection area in the method embodiment.

[0102] Figure 3 This is a schematic diagram of an inspection device for an inspection area according to an embodiment of the present invention. Figure 3 As shown, the inspection device 300 for the inspection area may include: an acquisition unit 301, a first determination unit 302, a generation unit 303, a second determination unit 304, and a control unit 305.

[0103] The acquisition unit 301 is used to acquire scene images of the area to be inspected, wherein the image content of the scene image includes the scene in which the inspection area is located.

[0104] The first determining unit 302 is used to determine the scene status of the area to be inspected based on the scene image. The scene status is used to indicate the status of the transmission line and / or the status of the environment in which the transmission line is located within the area to be inspected. The scene status includes at least normal scene status and abnormal scene status.

[0105] The generation unit 303 is used to generate inspection tasks in response to an abnormal scene state.

[0106] The second determining unit 304 is used to determine the inspection route of the inspection equipment based on the inspection task.

[0107] The control unit 305 is used to control the inspection equipment to inspect the area to be inspected according to the inspection route.

[0108] Optionally, the first determining unit 302 may include: a first acquisition module, used to acquire weather change information of the inspection area, wherein the weather change information is used to indicate the weather changes from the end of the last inspection task to the current time; and an analysis module, used to input the weather change information and scene image into an anomaly recognition model for analysis to determine the scene state of the area to be inspected, wherein the anomaly recognition model is a pre-set recognition model.

[0109] Optionally, the second determining unit 304 may include: a first determining module, used to determine the distribution location of the transmission line and the geographical environment of the area to be inspected based on the inspection task; a second determining module, used to determine multiple inspection points based on the distribution location and geographical environment; and a third determining module, used to integrate the preset routes corresponding to the multiple inspection points to determine the inspection route.

[0110] Optionally, the control unit 305 may include: a second acquisition module for acquiring the location information of the inspection equipment; a matching module for matching the location information with the location of the inspection point in the inspection route to obtain a matching result; and a control module for controlling the inspection equipment to inspect the area to be inspected according to the inspection route in response to the matching result that the location information matches the location of the inspection point.

[0111] Optionally, the inspection device 300 for the inspection area may further include: a third determining unit, used to determine the movement parameters of the inspection equipment in response to the matching result that the location information does not match the location of the inspection point, wherein the movement parameters are data used to indicate the movement of the inspection equipment; and an adjusting unit, used to adjust the inspection equipment based on the movement parameters.

[0112] Optionally, the inspection device 300 for the inspection area may further include: an uploading unit for uploading the inspection information obtained by the inspection device to the server, wherein the inspection information is used to instruct the inspection device to inspect the inspection results of the area to be inspected.

[0113] In this embodiment, a scene image of the area to be inspected is acquired, wherein the image content of the scene image includes the scene in which the inspection area is located; based on the scene image, the scene state of the area to be inspected is determined, wherein the scene state is used to indicate the state of the transmission lines and / or the state of the environment in which the transmission lines are located within the area to be inspected, and the scene state includes at least a normal scene state and an abnormal scene state; in response to the scene state being an abnormal scene state, an inspection task is generated; based on the inspection task, the inspection route of the inspection equipment is determined; and the inspection equipment is controlled to inspect the area to be inspected according to the inspection route. In other words, this embodiment of the invention determines the scene state of the area to be inspected through a scene image of the area to be inspected, thereby determining whether inspection should be performed. When the scene state is an abnormal scene state, it indicates that the area to be inspected is abnormal and needs to be inspected. Based on this, an inspection task is generated, and the inspection equipment is controlled to perform inspection according to the inspection route, reducing the intervention of manual operation, thereby solving the technical problem of low inspection efficiency and achieving the technical effect of improving inspection efficiency.

[0114] According to an embodiment of the present invention, a computer-readable storage medium is also provided, the storage medium including a stored program, wherein the program executes an inspection method for an inspection area in an embodiment of the method.

[0115] According to an embodiment of the present invention, a processor is also provided for running a program, wherein the program executes the inspection method for the inspection area in the method embodiment.

[0116] According to an embodiment of the present invention, a computer program product is also provided, the computer program product including computer instructions, which, when executed by a processor, implement the inspection method for the inspection area in the method embodiment.

[0117] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0118] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0120] The units described as separate components may or may not be physically separate. Similarly, the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0121] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0122] If the integrated unit is implemented as a software functional unit and sold or used as an independent functional component, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software functional component. This computer software functional component is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0123] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for inspecting a patrol area, characterized in that, include: Acquire a scene image of the area to be inspected, wherein the image content of the scene image includes the scene in which the inspection area is located; Based on the scene image, the scene state of the area to be inspected is determined, wherein the scene state is used to indicate the state of the transmission line in the area to be inspected and / or the state of the environment in which the transmission line is located, and the scene state includes at least a normal scene state and an abnormal scene state. In response to the scenario state being the abnormal scenario state, an inspection task is generated; Based on the inspection task, determine the inspection route for the inspection equipment; Control the inspection equipment to inspect the area to be inspected according to the inspection route; Determining the scene state of the area to be inspected based on the scene image includes: acquiring weather change information of the area to be inspected, wherein the weather change information is used to indicate the weather changes from the end of the last inspection task to the current time; inputting the weather change information and the scene image into an anomaly recognition model for analysis to determine the scene state of the area to be inspected, wherein the anomaly recognition model is a pre-set recognition model.

2. The method according to claim 1, characterized in that, Based on the inspection task, the inspection route for the inspection equipment is determined, including: Based on the inspection task, the distribution location of the transmission lines and the geographical environment of the area to be inspected are determined. Based on the distribution location and the geographical environment, multiple inspection points were determined; The preset routes corresponding to multiple inspection points are integrated to determine the inspection route.

3. The method according to claim 1, characterized in that, Controlling the inspection equipment to inspect the area to be inspected according to the inspection route includes: Obtain the location information of the inspection equipment; The location information is matched with the locations of inspection points in the inspection route to obtain a matching result; In response to the matching result that the location information matches the location of the inspection point, the inspection equipment is controlled to inspect the area to be inspected according to the inspection route.

4. The method according to claim 3, characterized in that, The method further includes: In response to the matching result that the location information does not match the location of the inspection point, the movement parameters of the inspection equipment are determined, wherein the movement parameters are data used to indicate the movement of the inspection equipment; The inspection equipment is adjusted based on the movement parameters.

5. The method according to any one of claims 1-4, characterized in that, The method further includes: The inspection information acquired by the inspection equipment is uploaded to the server, wherein the inspection information is used to instruct the inspection equipment to inspect the inspection results of the area to be inspected.

6. An inspection device for an inspection area, characterized in that, include: An acquisition unit is used to acquire a scene image of the area to be inspected, wherein the image content of the scene image includes the scene in which the inspection area is located; The first determining unit is configured to determine the scene state of the area to be inspected based on the scene image, wherein the scene state is used to indicate the state of the power transmission line in the area to be inspected and / or the state of the environment in which the power transmission line is located, and the scene state includes at least a normal scene state and an abnormal scene state. A generation unit is used to generate an inspection task in response to the scenario state being the abnormal scenario state. The second determining unit is used to determine the inspection route of the inspection equipment based on the inspection task. The control unit is used to control the inspection equipment to inspect the area to be inspected according to the inspection route; The first determining unit is further configured to acquire weather change information of the inspection area, wherein the weather change information is used to indicate the weather changes from the end of the last inspection task to the current time; input the weather change information and the scene image into an anomaly recognition model for analysis to determine the scene state of the area to be inspected, wherein the anomaly recognition model is a pre-set recognition model.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein when the program is run by a processor, it controls the device in which the storage medium is located to perform the method according to any one of claims 1 to 5.

8. A processor, characterized in that, The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 5 when it runs.

9. A computer program product, characterized in that, The computer program product includes computer instructions that, when executed by a processor, implement the method described in any one of claims 1 to 5.

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