Electric power inspection method, device, equipment, storage medium and product

Abstract

The invention discloses an electric power inspection method, device and equipment, a storage medium and a product, relates to the technical field of electric power detection, and discloses the electric power inspection method, device and equipment, the storage medium and the product, and the method comprises the steps: obtaining a wind condition and an environment image of a current environment of an inspection robot; simulating a process of sending instruction information to the inspection robot based on the experienced wind condition and the environment image, and determining a signal attribute required for sending the instruction information; and sending instruction information to the inspection robot based on the signal attribute, so that the inspection robot executes the electric power inspection task. Namely, the environment image and the wind condition of the current environment where the inspection robot is located are obtained in real time so as to simulate the process of sending the instruction information to the inspection robot, then the signal attribute needed for sending the instruction information to the inspection robot is deduced reversely, and then the instruction information is sent to the inspection robot according to the signal attribute. It is guaranteed that the instruction information is not lost in the transmission process, and then the accuracy of electric power inspection conducted by the inspection robot is improved.

Description

Technical Field

[0001] The present application relates to the field of power detection technology, and in particular to power inspection methods, devices, equipment, storage media and products. Background Art

[0002] The combination of power detection and Beidou satellite can significantly improve the intelligence level and operating efficiency of the power system, providing strong technical support for the sustainable development of the power industry.

[0003] At present, the positioning service and anti-interference ability of Beidou satellite are usually used to realize wireless control of inspection robots. However, wireless control is easily affected by weather. In windy weather, the wind will cause objects in the wind field to vibrate or rub, thereby generating electromagnetic noise, which in turn interferes with the communication between the satellite and the power detection equipment (inspection robot), causing errors in the command information received by the inspection robot, and thus making it impossible for the inspection robot to accurately reach the detection location, or unable to perform normal detection after arriving at the detection location, resulting in a decrease in the accuracy of the inspection robot's power inspection.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present application is to provide a power inspection method, which aims to solve the technical problem of reduced accuracy of power inspection by inspection robots.

[0006] To achieve the above objectives, the present application proposes a power inspection method, the method comprising: Obtain the experienced wind conditions and environmental images of the current environment of the inspection robot; Based on the experienced wind conditions and the environmental image, simulating a process of sending command information to the inspection robot, and determining a signal attribute required for sending the command information; Based on the signal attributes, instruction information is sent to the inspection robot to enable the inspection robot to perform a power inspection task.

[0007] In one embodiment, the step of simulating the process of sending command information to the inspection robot based on the experienced wind conditions and the environmental image, and determining the signal attributes required for sending the command information comprises: Extracting sound features from the environment image based on a preset interference model, and determining the interference degree of the current environment on the signal according to the sound features and the experienced wind conditions, wherein the preset interference model is obtained by training the to-be-trained model by analyzing the correlation between the signal loss of the transmission signal and different wind conditions when transmitting signals in various working conditions; Based on the interference level, a process of sending command information to the inspection robot is simulated to determine the signal properties required for sending the command information.

[0008] In one embodiment, the step of simulating the process of sending command information to the inspection robot based on the interference level and determining the signal attributes required for sending the command information includes: Performing interference attribute analysis on the interference degree to determine interference configuration information of the current environment when sending command information to the inspection robot; Based on the interference configuration information, simulating a process of sending command information to the inspection robot, and determining a signal loss of the command information during the transmission process; Based on the signal loss, the signal property required for sending the instruction information is inferred.

[0009] In one embodiment, the step of simulating the process of sending command information to the inspection robot based on the interference configuration information and determining the signal loss of the command information during the transmission process includes: Determine, based on the interference configuration information, in the process of sending command information to the inspection robot, the consumption details of the command information by the current environment at each transmission moment; Based on the consumption details, determining the distribution of sound-emitting objects that consume the instruction information and the interference power of each sound-emitting object on the instruction information in the current environment; Based on the sound-emitting object and the interference power, the consumption process of sending command information to the inspection robot is simulated to determine the signal loss of the command information during the transmission process.

[0010] In one embodiment, before the step of extracting the sound features of the environment image based on a preset interference model and determining the interference degree of the current environment to the signal according to the sound features and the experienced wind conditions, the step further includes: Acquire historical signals sent to the inspection robot and the working conditions when the historical signals were transmitted; Performing a loss analysis on the historical signal to determine the signal loss of the corresponding historical signal when transmitting the signal in each of the working conditions; Performing correlation analysis on the wind condition in the working environment and the signal loss to determine the correlation relationship between the wind condition and the signal loss; The preset model to be trained is trained based on the association relationship to obtain a preset interference model.

[0011] In one embodiment, the step of sending instruction information to the inspection robot based on the signal attribute includes: Extracting the transmission power and signal-to-noise ratio required for sending the instruction information from the signal attributes; Sending command information to the inspection robot according to the transmission power and the signal-to-noise ratio.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes a power inspection device, which includes: An acquisition module is used to obtain the experienced wind conditions and environmental images of the current environment of the inspection robot; A simulation module, used to simulate the process of sending command information to the inspection robot based on the experienced wind conditions and the environmental image, and determine the signal properties required for sending the command information; The inspection module is used to send instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

[0013] In addition, to achieve the above objectives, the present application also proposes a power inspection device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the power inspection method described above.

[0014] In addition, to achieve the above objectives, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the power inspection method described above are implemented.

[0015] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the power inspection method described above are implemented.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: The environmental image and experienced wind conditions of the current environment where the inspection robot is located are obtained in real time. Since different wind conditions in the same environment have different degrees of interference with the signal, in order for the inspection robot to receive complete signals and accurately execute commands, it is necessary to simulate the process of sending command information to the inspection robot based on the environmental image and experienced wind conditions, so as to reversely deduce the signal properties required to send command information to the inspection robot, and then send command information to the inspection robot based on the signal properties, to ensure that the inspection robot does not lose command information during signal transmission, and thus ensure that the command information received by the inspection robot is complete information, so that the inspection robot can accurately perform power inspection tasks according to the command information, and thus ensure that the inspection robot can accurately execute command information under various wind conditions, thereby improving the accuracy of the inspection robot in power inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 A flowchart of the first embodiment of the power inspection method of the present application is provided; Figure 2 A flow chart of the second embodiment of the power inspection method of the present application; Figure 3 A flowchart of the third embodiment of the power inspection method of the present application is provided; Figure 4 This is a schematic diagram of the module structure of the power inspection device according to an embodiment of the present application; Figure 5 Schematic diagram of the equipment structure of the hardware operating environment involved in the power inspection method in the embodiment of the present application.

[0020] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0022] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0023] The main solution of the embodiment of the present application is: the robot controller obtains the wind conditions and environmental images experienced by the patrol robot's current environment; based on the experienced wind conditions and the environmental images, simulates the process of sending command information to the patrol robot, and determines the signal attributes required to send the command information; based on the signal attributes, sends command information to the patrol robot, so that the patrol robot performs the power inspection task.

[0024] In this embodiment, for ease of description, the following description is made with the robot controller as the execution subject.

[0025] Currently, wireless control of inspection robots is usually achieved by utilizing the positioning service and anti-interference capability of Beidou satellites. However, wireless control is easily affected by weather. In windy weather, the wind will cause objects in the wind field to vibrate or rub, thereby generating electromagnetic noise, which in turn interferes with the communication between the satellite and the power detection equipment (inspection robot), causing errors in the command information received by the inspection robot, and thus preventing the inspection robot from accurately reaching the detection location, or failing to perform normal detection after arriving at the detection location, resulting in a decrease in the accuracy of the inspection robot's power inspection.

[0026] The present application provides a solution for acquiring in real time the environmental image and experienced wind conditions of the current environment in which the inspection robot is located. Since different wind conditions in the same environment have different degrees of interference with the signal, in order for the inspection robot to receive complete signals and accurately execute instructions, it is necessary to simulate the process of sending instruction information to the inspection robot based on the environmental image and the experienced wind conditions, so as to reversely deduce the signal properties required to send instruction information to the inspection robot, and then send the instruction information to the inspection robot based on the signal properties, to ensure that the inspection robot does not lose instruction information during signal transmission, and further to ensure that the instruction information received by the inspection robot is complete information, so that the inspection robot can accurately perform power inspection tasks according to the instruction information, and further to ensure that the inspection robot can accurately execute instruction information under various wind conditions, thereby improving the accuracy of power inspections by the inspection robot.

[0027] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a robot controller, etc. The following takes the robot controller as an example to illustrate this embodiment and the following embodiments.

[0028] Based on this, the present application embodiment provides a power inspection method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the power inspection method of the present application.

[0029] In this embodiment, the power inspection method includes steps S10 to S30: Step S10, obtaining the wind conditions and environmental images experienced by the inspection robot in the current environment; It should be noted that inspection robots are autonomous or semi-autonomous robots that can perform power patrol and inspection tasks in various environments. Inspection robots are usually equipped with high-definition cameras and other sensors, such as temperature sensors, gas sensors, etc., to collect environmental data in real time. The current environment is the environment in which the inspection robot is located at the current moment. The experienced wind conditions are the meteorological conditions such as wind speed and wind direction encountered by the inspection robot during the execution of the task. The environmental image is the visual information of the surrounding environment captured by the inspection robot through its onboard camera.

[0030] In the specific implementation, the sensors on the inspection robot can be used to collect the current environment's wind speed, wind direction and other wind conditions in real time, and the camera can be used to capture the environmental image; if the inspection robot is not equipped with sensors for collecting wind condition information, the camera can be used to capture the environmental image first. If the robot controller is a remote-controlled inspection robot, the robot controller can also receive the environmental image based on the Beidou satellite to reduce interference during the transmission process. After obtaining the captured environmental image, the Beidou satellite is used to obtain the wind condition information of the location indicated by the environmental image from the meteorological detection equipment side.

[0031] Step S20, based on the experienced wind conditions and the environmental image, simulating a process of sending command information to the inspection robot, and determining a signal attribute required for sending the command information; It should be noted that the command information is the control command sent by the robot controller to the inspection robot to instruct the robot to perform specific tasks or actions. These instructions may include movement paths, detection parameters, alarm thresholds, etc. Signal attributes refer to the characteristics of the signal used to transmit command information, including but not limited to transmission power, signal-to-noise ratio, signal type (such as radio waves, infrared, etc.), frequency, bandwidth, modulation method, encoding method, etc.

[0032] It can be understood that the process of sending command information is simulated according to the experienced wind conditions and environmental images to accurately determine the signal consumption of the current environment, and based on the consumption, the signal properties required to control the inspection robot in the current environment are determined to ensure that the instructions can be correctly received and executed.

[0033] In a specific implementation, a digital scene for sending command information to the inspection robot is configured according to experienced wind conditions and environmental images. The process of sending command information to the inspection robot is simulated in the digital scene, and the attenuation data of the signal carrying the command information during the simulation process and the wind condition data corresponding to the attenuation data are recorded in real time, so as to analyze the signal properties required for the Beidou satellite or robot controller to send command information based on the wind condition data and the attenuation data, such as transmission power, signal-to-noise ratio, frequency, and bandwidth.

[0034] Step S30: sending instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

[0035] It should be noted that power inspection tasks refer to the inspection and maintenance work performed by inspection robots in the power system. This includes checking the status of power lines, transformers, switchgear and other facilities, and detecting potential faults or safety hazards. By using inspection robots, the reliability of the power system can be improved and the risks and costs of manual inspections can be reduced.

[0036] It can be understood that according to the signal properties, it can be ensured that the command information can be transmitted to the patrol robot stably and accurately without interference or attenuation, so that the patrol robot can receive the signal with complete command information, so that the patrol robot can patrol or inspect accurately according to the instructions sent by the robot controller, thereby improving the accuracy of the patrol robot's power inspection.

[0037] In the specific implementation, the transmission power, signal-to-noise ratio, frequency, bandwidth and other properties required for the Beidou satellite to forward the command information are configured according to the signal attributes, and then the configured signal attributes are used to forward the command information of the robot controller to the inspection robot through the Beidou satellite to ensure that the attenuation of the forwarded signal in the current environment will not destroy the command information.

[0038] Furthermore, step S30 further includes: Extracting the transmission power and signal-to-noise ratio required for sending the instruction information from the signal attributes; Sending command information to the inspection robot according to the transmission power and the signal-to-noise ratio.

[0039] It should be noted that the transmit power is the power level of the signal emitted by the transmitter in the wireless communication system. The transmit power determines the distance that the signal can cover and its ability to penetrate obstacles during propagation. Higher transmit power usually means that the signal can be received at a farther distance and has a stronger anti-interference ability. Among them, the transmitter can be a robot controller or a Beidou satellite. The signal-to-noise ratio is the ratio of the signal power to the noise power at the receiving end. It is an important indicator to measure the signal quality. The higher the signal-to-noise ratio, the greater the proportion of the signal in the noise and the better the signal quality. Improving the signal-to-noise ratio can reduce the bit error rate, thereby improving the reliability and accuracy of communication.

[0040] It can be understood that since the transmission power and signal-to-noise ratio are obtained by analyzing the loss of the signal in the current environment, by extracting the transmission power and signal-to-noise ratio information from the signal attributes and sending command information based on this information, the transmission reliability of the command information can be improved and the bit error rate during signal transmission can be reduced.

[0041] It can be understood that by dynamically adjusting the transmission power and signal-to-noise ratio parameters according to the signal attributes, the signal transmission parameters can be dynamically optimized according to the current environment of the inspection robot. By real-time monitoring of the signal quality and dynamically adjusting the transmission parameters, the adaptability of the system can be enhanced, enabling it to operate stably in various complex environments, improving signal transmission efficiency, and avoiding the inspection robot’s inability to receive complete command information, thereby improving the accuracy of the inspection robot’s power inspection.

[0042] The present embodiment provides a power inspection method, which obtains in real time the environmental image and experienced wind conditions of the current environment of the inspection robot. Since different wind conditions in the same environment have different degrees of interference with the signal, in order for the inspection robot to receive the complete signal and accurately execute the command, it is necessary to simulate the process of sending command information to the inspection robot based on the environmental image and the experienced wind conditions, so as to reversely deduce the signal properties required to send the command information to the inspection robot, and then send the command information to the inspection robot based on the signal properties, to ensure that the inspection robot does not lose the command information during the signal transmission process, and further ensure that the command information received by the inspection robot is complete information, so that the inspection robot can accurately perform the power inspection task according to the command information, and further ensure that the inspection robot can accurately execute the command information under various wind conditions, thereby improving the accuracy of the inspection robot in performing power inspections.

[0043] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 Before step S20, the power inspection method further includes steps S21-S22: Step S21, extracting the sound features of the environment image based on a preset interference model, and determining the interference degree of the current environment on the signal according to the sound features and the experienced wind conditions, wherein the preset interference model is obtained by training the to-be-trained model by analyzing the correlation between the signal loss of the transmission signal and different wind conditions when transmitting the signal in each working environment; Step S22: based on the interference level, simulate the process of sending command information to the inspection robot to determine the signal attributes required for sending the command information.

[0044] It should be noted that the preset interference model is a pre-established mathematical model, which is obtained by training the model to be trained by analyzing the correlation between the signal loss and wind conditions of the transmitted signal in different working conditions. The preset interference model can predict the degree of interference in signal transmission under specific environmental conditions, thereby providing a basis for optimizing signal properties. Sound features refer to characteristic information related to sound extracted from environmental images. These features may include the frequency, intensity, duration, and location of the sound. By analyzing the sound features in the environmental image, it can be understood whether there are sound sources in the current environment that may interfere with signal transmission, such as wind noise, mechanical noise, etc. The degree of interference refers to the degree of influence of the current environment on signal transmission.

[0045] Furthermore, it should be noted that simulating the sending of instruction information refers to testing and verifying the sending process of the instruction information by means of computer simulation or experimental simulation before actually sending the instruction information.

[0046] It can be understood that by combining the sound characteristics and experienced wind conditions, the degree of environmental interference with signal transmission can be evaluated to determine the signal properties required to send command information, thereby ensuring that the command information can be transmitted to the inspection robot stably and accurately.

[0047] It can be understood that in order to determine the signal properties required for sending command information, such as signal type, frequency, bandwidth, modulation method, encoding method, etc., to ensure that the command information can be correctly received and executed, therefore, when formally sending the command information, the process of sending command information to the inspection robot in the current environment can be simulated according to the degree of interference to determine the loss of the signal in the current environment during the transmission process, and then accurately determine the signal properties required to send the command information.

[0048] It can be understood that the use of a preset interference model to accurately evaluate the degree of environmental interference on the signal and adjust the signal properties of the sent command information accordingly improves the accuracy and stability of command transmission in complex environments, thereby reducing the current environment's signal consumption, or allowing the current environment to consume camouflaged signals and avoid consuming signals that carry command information, thereby avoiding inspection interruptions or errors caused by signal problems.

[0049] It can be understood that by predicting the interference degree of the signal in the current scenario through the preset interference model, and then determining the signal properties of the transmitted signal according to the interference degree, the strategy signal properties can be flexibly adjusted according to the actual situation, so that the inspection robot can adapt to a variety of complex environments, and accurate command transmission ensures that the inspection robot can perform tasks efficiently and safely, avoiding unnecessary repeated operations or risks caused by misunderstanding of commands, thereby improving overall inspection efficiency.

[0050] Furthermore, step S22 further includes: Performing interference attribute analysis on the interference degree to determine interference configuration information of the current environment when sending command information to the inspection robot; Based on the interference configuration information, simulating a process of sending command information to the inspection robot, and determining a signal loss of the command information during the transmission process; Based on the signal loss, the signal property required for sending the instruction information is inferred.

[0051] It should be noted that interference attribute analysis refers to further analysis of the degree of interference to determine the specific attributes of the interference, which may include the frequency, intensity, duration, and direction of the interference source. Interference configuration information is determined based on the results of interference attribute analysis and is used to simulate the configuration data of the simulation scenario required to cause interference to the command information in the current scenario. Signal loss refers to the weakening of signal strength due to various reasons (such as interference, attenuation, etc.) during signal transmission.

[0052] It can be understood that the characteristics and impact of interference can be more accurately understood through interference attribute analysis, thereby providing a basis for optimizing the signal attributes of the transmitted signal.

[0053] It can be understood that by analyzing the signal loss, we can understand the loss of the signal during the transmission process, thereby providing a basis for optimizing the signal properties.

[0054] It can be understood that the inverse signal properties ensure that the command information can be stably and accurately transmitted to the inspection robot in an interference environment.

[0055] In the specific implementation, a data processing center can be built to integrate image recognition and machine learning algorithms. It is responsible for environmental feature extraction, interference level assessment, and interference attribute analysis. The optimal command signal attributes can be calculated through signal loss simulation algorithm and inverse algorithm. Among them, the algorithm can predict signal loss through simulation based on interference configuration information.

[0056] Furthermore, the step of simulating the process of sending command information to the inspection robot based on the interference configuration information and determining the signal loss of the command information during the transmission process includes: Determine, based on the interference configuration information, in the process of sending command information to the inspection robot, the consumption details of the command information by the current environment at each transmission moment; Based on the consumption details, determining the distribution of sound-emitting objects that consume the instruction information and the interference power of each sound-emitting object on the instruction information in the current environment; Based on the sound-emitting object and the interference power, the consumption process of sending command information to the inspection robot is simulated to determine the signal loss of the command information during the transmission process.

[0057] It should be noted that the consumption in the consumption details refers to the various attenuations and interferences that the command information encounters during the transmission process, and the consumption details refer to the specific details of these attenuations and interferences, including the time, location, cause and intensity of their occurrence. Sound-emitting objects are all objects that can make sounds in the current environment and may interfere with the command information. These objects may be fallen leaves, garbage, antennas, buildings, trees and other objects that can make sounds when blown by the wind. Interference power is an indicator of the ability of each sound-emitting object to interfere with the command information. It indicates the intensity of interference caused by the object to the signal transmission, usually expressed in watts (W) or decibels (dB).

[0058] It is understandable that by analyzing in detail the consumption of command information by the environment, the strategy for sending command information can be optimized to reduce unnecessary signal transmission, reduce energy consumption, and thereby reduce signal loss, thereby improving the transmission speed, accuracy, and stability of command information, thereby improving the work efficiency of the inspection robot.

[0059] In the specific implementation, the interference configuration information of the current environment is obtained through the environmental monitoring equipment, including the location, strength, frequency and other parameters of the interference source. According to the task plan of the inspection robot, the sending time and receiving time of the command information are determined. For each transmission time, the consumption of the command information in the current environment is calculated according to the interference configuration information, including the consumption details of signal attenuation, noise interference, etc., and then according to the consumption details, the objects that consume a lot of command information and can make sounds when blown by the wind are identified. For each sound-emitting object, according to its position and characteristics, its interference power to the command information is calculated. Then, according to the distribution and interference power of the sound-emitting objects, a simulation model of signal transmission is established, and the transmission process of the command information is simulated in the simulation model. The signal loss at different transmission times is recorded. Finally, according to the simulation results, the signal loss of the command information during the transmission process is determined.

[0060] Based on the first and second embodiments of the present application, in the third embodiment of the present application, the same or similar contents as those in the above embodiments can be referred to the above introduction, and will not be described in detail later. Figure 3 Before step S21, the power inspection method further includes steps S1 to S4: Step S1, obtaining a historical signal sent to the inspection robot and the working environment when the historical signal was transmitted; Step S2, performing a loss analysis on the historical signal to determine the signal loss of the corresponding historical signal when transmitting the signal in each of the working conditions; Step S3, performing correlation analysis on the wind condition in the working environment and the signal loss to determine the correlation relationship between the wind condition and the signal loss; Step S4: training a preset model to be trained based on the association relationship to obtain a preset interference model.

[0061] It should be noted that historical signals are instructions or data signals sent to the inspection robot in the past. These signals can contain various types of information, such as control commands, status queries, etc. The working environment is the actual environmental conditions when the historical signals are transmitted, including wind speed, wind direction, terrain, and environment. Loss analysis is an analysis of the losses suffered by historical signals during transmission. The losses can be weakened signal strength, increased bit error rate, transmission delay, etc. Through loss analysis, the performance of signal transmission in different working environments can be determined. Signal loss is the specific amount of loss suffered by historical signals during transmission under specific working conditions. It can be a quantitative value, such as a percentage or decibel number, used to describe the degree of decline in signal quality. Correlation analysis is an analysis of the relationship between wind conditions and signal loss in the working environment. Through correlation analysis, it can be determined how wind conditions such as wind speed and wind direction affect the loss of signal transmission.

[0062] It can be understood that by performing loss analysis on historical signals and determining the correlation between the operating environment and signal loss, and using the correlation to train the model, the correlation between signal loss and wind conditions in the model can be enhanced, so that the trained preset interference model can accurately determine the degree of interference to the signal based on the experienced wind conditions.

[0063] In a specific implementation, a signal recording device can be used to collect historical signals received by the inspection robot in different time periods. While collecting historical signals, the working conditions when these signals were transmitted are recorded, including parameters such as temperature, humidity, wind speed, wind direction, terrain, and environment. A signal processing algorithm is used to analyze historical signals, and the signal loss when transmitting signals in each working condition is calculated. The signal loss data for each working condition is recorded, and wind condition data, including wind speed and wind direction, are extracted from the working condition. A statistical analysis method is used to perform correlation analysis on wind condition data and signal loss data to determine the correlation between wind conditions and signal loss. Finally, a machine learning algorithm is used to train a preset model to be trained based on the correlation between wind conditions and signal loss. The trained model is verified using a verification data set to ensure the accuracy and reliability of the model. The trained model is applied to actual scenarios to predict signal loss under different wind conditions.

[0064] In the specific implementation, in addition to wind condition data, other operating environment data, such as temperature, humidity, electromagnetic interference, etc., can also be collected, and a comprehensive correlation analysis can be performed on all operating environment data and signal loss data to determine the correlation between each operating factor and signal loss. Based on the comprehensive correlation, a multi-factor interference model is trained to improve the prediction accuracy of the model.

[0065] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the power inspection method of the present application. More simple transformations based on this technical concept are all within the protection scope of the present application.

[0066] This application also provides a power inspection device, please refer to Figure 4 , the power inspection device comprises: An acquisition module 10 is used to acquire the wind conditions and environmental images experienced by the inspection robot in the current environment; A simulation module 20, for simulating a process of sending command information to the inspection robot based on the experienced wind conditions and the environmental image, and determining a signal attribute required for sending the command information; The inspection module 30 is used to send instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

[0067] Optionally, the simulation module 20 is also used to extract sound features of the environmental image based on a preset interference model, and determine the degree of interference of the current environment on the signal according to the sound features and the experienced wind conditions, wherein the preset interference model is obtained by training the model to be trained by analyzing the correlation between the signal loss of the transmission signal and different wind conditions when transmitting signals in various working environments; based on the interference degree, the process of sending command information to the inspection robot is simulated to determine the signal attributes required to send the command information.

[0068] Optionally, the simulation module 20 is also used to perform interference property analysis on the interference degree, determine the interference configuration information of the current environment when sending command information to the inspection robot; based on the interference configuration information, simulate the process of sending command information to the inspection robot, and determine the signal loss of the command information during the transmission process; based on the signal loss, reversely infer the signal properties required to send the command information.

[0069] Optionally, the simulation module 20 is also used to determine, based on the interference configuration information, the consumption details of the command information in the current environment at each transmission moment in the process of sending the command information to the inspection robot; based on the consumption details, determine the distribution of sound-emitting objects that consume the command information in the current environment and the interference power of each sound-emitting object on the command information; based on the sound-emitting objects and the interference power, simulate the consumption process of sending command information to the inspection robot to determine the signal loss of the command information during the transmission process.

[0070] Optionally, the simulation module 20 is also used to obtain the historical signals sent to the inspection robot and the working environment when the historical signals were transmitted; perform a loss analysis on the historical signals to determine the signal loss corresponding to the historical signals when the signals were transmitted in each working environment; perform a correlation analysis on the wind conditions in the working environment and the signal loss to determine the correlation between the wind conditions and the signal loss; and train a preset model to be trained based on the correlation to obtain a preset interference model.

[0071] Optionally, the inspection module 30 is used to extract the transmission power and signal-to-noise ratio required for sending instruction information from the signal attributes; and send instruction information to the inspection robot according to the transmission power and the signal-to-noise ratio.

[0072] The electric power inspection device provided by the present application adopts the electric power inspection method in the above embodiment, which can solve the technical problem of the reduced accuracy of the inspection robot in performing electric power inspection. Compared with the prior art, the beneficial effects of the electric power inspection device provided by the present application are the same as the beneficial effects of the electric power inspection method provided by the above embodiment, and the other technical features in the electric power inspection device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0073] The present application provides an electric power inspection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the electric power inspection method in the above-mentioned embodiment one.

[0074] Reference below Figure 5, which shows a schematic diagram of the structure of a power inspection device suitable for implementing the embodiment of the present application. The power inspection device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The electric power inspection equipment shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0075] like Figure 5 As shown, the power inspection device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the power inspection device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the power inspection device to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a power inspection device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0076] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0077] The electric power inspection equipment provided by the present application adopts the electric power inspection method in the above embodiment, which can solve the technical problem of the reduced accuracy of the inspection robot in performing electric power inspection. Compared with the prior art, the beneficial effects of the electric power inspection equipment provided by the present application are the same as the beneficial effects of the electric power inspection method provided by the above embodiment, and the other technical features in the electric power inspection equipment are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0078] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0079] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0080] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the power inspection method in the above-mentioned embodiment.

[0081] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0082] The computer-readable storage medium may be included in the power inspection device; or may exist independently without being installed in the power inspection device.

[0083] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the power inspection equipment, the power inspection equipment: obtains the experienced wind conditions and environmental images of the current environment of the inspection robot; based on the experienced wind conditions and the environmental images, simulates the process of sending instruction information to the inspection robot, and determines the signal attributes required to send the instruction information; sends instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

[0084] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0085] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also be sounded in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0086] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0087] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned power inspection method, and can solve the technical problem of reduced accuracy of power inspection by inspection robots. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the power inspection method provided by the above-mentioned embodiment, and will not be elaborated here.

[0088] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned power inspection method when executed by a processor.

[0089] The computer program product provided by this application can solve the technical problem of reduced accuracy of power inspection by inspection robots. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the power inspection method provided by the above embodiment, which will not be repeated here.

[0090] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A power inspection method, characterized in that: The method includes: Obtain the experienced wind conditions and environmental images of the current environment of the inspection robot; Based on the experienced wind conditions and the environmental image, simulating a process of sending command information to the inspection robot, and determining a signal attribute required for sending the command information; Based on the signal attributes, instruction information is sent to the inspection robot to enable the inspection robot to perform a power inspection task.

2. The method according to claim 1, characterized in that The step of simulating the process of sending command information to the inspection robot based on the experienced wind conditions and the environmental image and determining the signal attributes required for sending the command information comprises: Extracting sound features from the environment image based on a preset interference model, and determining the interference degree of the current environment on the signal according to the sound features and the experienced wind conditions, wherein the preset interference model is obtained by training the to-be-trained model by analyzing the correlation between the signal loss of the transmission signal and different wind conditions when transmitting signals in various working conditions; Based on the interference level, a process of sending command information to the inspection robot is simulated to determine the signal properties required for sending the command information.

3. The method according to claim 2, characterized in that The step of simulating the process of sending command information to the inspection robot based on the interference degree and determining the signal attributes required for sending the command information comprises: Performing interference attribute analysis on the interference degree to determine interference configuration information of the current environment when sending command information to the inspection robot; Based on the interference configuration information, simulating a process of sending command information to the inspection robot, and determining a signal loss of the command information during the transmission process; Based on the signal loss, the signal property required for sending the instruction information is inferred.

4. The method according to claim 3, characterized in that The step of simulating the process of sending command information to the inspection robot based on the interference configuration information and determining the signal loss of the command information during the transmission process comprises: Determine, based on the interference configuration information, in the process of sending command information to the inspection robot, the consumption details of the command information by the current environment at each transmission moment; Based on the consumption details, determining the distribution of sound-emitting objects that consume the instruction information and the interference power of each sound-emitting object on the instruction information in the current environment; Based on the sound-emitting object and the interference power, the consumption process of sending command information to the inspection robot is simulated to determine the signal loss of the command information during the transmission process.

5. The method according to claim 2, characterized in that Before the step of extracting the sound feature of the environment image based on the preset interference model and determining the interference degree of the current environment to the signal according to the sound feature and the experienced wind condition, the step also includes: Acquire historical signals sent to the inspection robot and the working conditions when the historical signals were transmitted; Performing a loss analysis on the historical signal to determine the signal loss of the corresponding historical signal when transmitting the signal in each of the working conditions; Performing correlation analysis on the wind condition in the working environment and the signal loss to determine the correlation relationship between the wind condition and the signal loss; The preset model to be trained is trained based on the association relationship to obtain a preset interference model.

6. The method according to claim 1, characterized in that The step of sending instruction information to the inspection robot based on the signal attribute includes: Extracting the transmission power and signal-to-noise ratio required for sending the instruction information from the signal attributes; Sending command information to the inspection robot according to the transmission power and the signal-to-noise ratio.

7. A power inspection device, characterized in that: The device comprises: An acquisition module is used to obtain the experienced wind conditions and environmental images of the current environment of the inspection robot; A simulation module, used to simulate the process of sending command information to the inspection robot based on the experienced wind conditions and the environmental image, and determine the signal properties required for sending the command information; The inspection module is used to send instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

8. A power inspection device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the power inspection method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the power inspection method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the power inspection method according to any one of claims 1 to 6 are implemented.

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