Power inspection method, device, equipment, storage medium and product

Abstract

The present application discloses a power inspection method, device, equipment, storage medium and product, relating to the technical field of power detection. The power inspection method, device, equipment, storage medium and product include: obtaining the experienced wind conditions and environmental images of the current environment of the inspection robot; based on the experienced wind conditions and environmental images, simulating the process of sending command information to the inspection robot to determine the signal attributes required for sending the command information; sending the command information to the inspection robot based on the signal attributes, so that the inspection robot executes the power inspection task. That is to say, the environmental images and experienced wind conditions of the current environment where the inspection robot is located are obtained in real time to simulate the process of sending command information to the inspection robot, and then the signal attributes required for sending the command information to the inspection robot are deduced inversely. Then, the command information is sent to the inspection robot according to the signal attributes, ensuring that the command information is not lost during the transmission process, thereby improving the accuracy of the inspection robot for power inspection.

Description

Technical Field

[0001] This application relates to the technical field of power detection, and particularly to a power inspection method, device, equipment, storage medium, and product. Background Art

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

[0003] Currently, the positioning service and anti-interference ability of Beidou satellites are usually used to realize the wireless control of inspection robots. However, wireless control is easily affected by the weather. In windy weather, the wind will cause objects in the wind field to vibrate or rub, generating electromagnetic noise, which will interfere with the communication between the satellite and the power detection equipment (inspection robot), resulting in incorrect command information received by the inspection robot. As a result, the inspection robot cannot accurately reach the detection position or cannot perform normal detection after reaching the detection position, leading to a decrease in the accuracy of the inspection robot for power inspection.

[0004] The above content is only used to assist in understanding the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of this application is to provide a power inspection method, aiming at the technical problem of the decrease in the accuracy of the inspection robot for power inspection.

[0006] To achieve the above purpose, this application proposes a power inspection method, and the method includes:

[0007] Obtain the experienced wind conditions and environmental images of the current environment of the inspection robot;

[0008] Based on the experienced wind conditions and the environmental images, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information;

[0009] Send command information to the inspection robot based on the signal attributes, so that the inspection robot executes the power inspection task.

[0010] In an embodiment, the step of based on the experienced wind conditions and the environmental images, simulating the process of sending command information to the inspection robot, and determining the signal attributes required for sending the command information includes:

[0011] Extract the vocalization features from the environmental image based on a preset interference model, and determine the interference degree of the current environment on the signal according to the vocalization features and the experienced wind conditions. The preset interference model is obtained by training a model to be trained through the correlation relationship between the signal loss of the transmitted signal and different wind conditions when transmitting signals in various working condition environments;

[0012] Based on the interference degree, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information.

[0013] In one embodiment, 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 includes:

[0014] Conduct interference attribute analysis on the interference degree to determine the interference configuration information of the current environment when sending command information to the inspection robot;

[0015] 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 transmission;

[0016] Based on the signal loss, inversely deduce the signal attributes required for sending the command information.

[0017] 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 transmission includes:

[0018] Based on the interference configuration information, determine the consumption details of the current environment on the command information at each transmission moment during the process of sending command information to the inspection robot;

[0019] Based on the consumption details, determine the distribution of vocalization objects that consume the command information in the current environment and the interference power of each vocalization object on the command information;

[0020] Based on the vocalization objects and the interference power, simulate the consumption process of sending command information to the inspection robot, and determine the signal loss of the command information during transmission.

[0021] In one embodiment, before the step of extracting the vocalization features from the environmental image based on a preset interference model and determining the interference degree of the current environment on the signal according to the vocalization features and the experienced wind conditions, it further includes:

[0022] Obtain the historical signals sent to the inspection robot and the working condition environments when transmitting the historical signals;

[0023] Perform loss analysis on the historical signals to determine the signal loss of the corresponding historical signals when transmitting signals in each of the working condition environments.

[0024] Perform correlation analysis on the wind conditions in the working condition environment and the signal loss to determine the correlation relationship between the wind conditions and the signal loss.

[0025] Train a preset model to be trained based on the correlation relationship to obtain a preset interference model.

[0026] In one embodiment, the step of sending instruction information to the inspection robot based on the signal attributes includes:

[0027] Extract the transmission power and signal-to-noise ratio required for sending instruction information from the signal attributes.

[0028] Send instruction information to the inspection robot according to the transmission power and the signal-to-noise ratio.

[0029] In addition, to achieve the above object, the present application further provides a power inspection device, which includes:

[0030] An acquisition module, configured to acquire the experienced wind conditions and environmental images of the current environment of the inspection robot.

[0031] A simulation module, configured to simulate the process of sending instruction information to the inspection robot based on the experienced wind conditions and the environmental images, and determine the signal attributes required for sending the instruction information.

[0032] An inspection module, configured to send instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs a power inspection task.

[0033] In addition, to achieve the above object, the present application further provides a power inspection device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is configured to implement the steps of the power inspection method as described above.

[0034] In addition, to achieve the above object, the present application further provides a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the steps of the power inspection method as described above.

[0035] In addition, to achieve the above object, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the power inspection method as described above.

[0036] One or more technical solutions proposed in this application have at least the following technical effects:

[0037] Obtain the environmental image and experienced wind conditions of the current environment where the inspection robot is located in real time. Since different wind conditions in the same environment have different degrees of interference on signals, in order to enable the inspection robot to receive complete signals and execute instructions accurately, it is necessary to simulate the process of sending instruction information to the inspection robot based on the environmental image and experienced wind conditions, so as to reverse-infer the signal attributes required for sending instruction information to the inspection robot, and then send the instruction information to the inspection robot according to the signal attributes, ensuring that the instruction information will not be lost during the signal transmission process, and further ensuring that the instruction information received by the inspection robot is complete information, so that the inspection robot can accurately execute the power inspection task according to the instruction information, and further ensuring that the inspection robot can accurately execute the instruction information under various wind conditions, thereby improving the accuracy of the inspection robot in performing power inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application.

[0039] In order to more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0040] Figure 1 It is a schematic flowchart provided for Embodiment 1 of the power inspection method of this application;

[0041] Figure 2 It is a schematic flowchart provided for Embodiment 2 of the power inspection method of this application;

[0042] Figure 3 It is a schematic flowchart provided for Embodiment 3 of the power inspection method of this application;

[0043] Figure 4 It is a schematic module structure diagram of the power inspection device for the embodiments of this application;

[0044] Figure 5 It is a schematic device structure diagram of the hardware operating environment involved in the power inspection method for the embodiments of this application.

[0045] The realization, functional features, and advantages of the objectives of this application will be further described in conjunction with the embodiments with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] 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.

[0047] To better understand the technical solutions of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0048] The main solution of the embodiments of the present application is: the robot controller 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 command information to the inspection robot, and determines the signal attributes required for sending the command information; based on the signal attributes, sends the command information to the inspection robot, so that the inspection robot performs the power inspection task.

[0049] In this embodiment, for the convenience of description, the robot controller is used as the execution subject for the following elaboration.

[0050] Since the wireless control of the inspection robot is usually realized by using the positioning service and anti-interference ability of Beidou satellites at present, but the wireless control is easily affected by the weather. In windy weather, the wind will cause the objects in the wind field to vibrate or rub, thus generating electromagnetic noise, which will interfere with the communication between the satellite and the power detection equipment (inspection robot), resulting in incorrect command information received by the inspection robot, and further causing the inspection robot to be unable to accurately reach the detection position, or unable to perform normal detection after reaching the detection position, resulting in a decrease in the accuracy of the inspection robot for power inspection.

[0051] The present application provides a solution to obtain the environmental images and experienced wind conditions of the current environment where the inspection robot is located in real time. Since different wind conditions in the same environment have different degrees of interference on signals, in order to enable 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 according to the environmental images and experienced wind conditions, so as to inversely deduce the signal attributes required for sending command information to the inspection robot, and then send the command information to the inspection robot according to the signal attributes, ensuring that the command information will not be lost during the signal transmission process, and further ensuring that the command information received by the inspection robot is complete information, so that the inspection robot can accurately execute the power inspection task according to the command information, and further ensuring that the inspection robot can accurately execute the command information under various wind conditions, thereby improving the accuracy of the inspection robot for power inspection.

[0052] It should be noted that the execution entity 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, a robot controller, etc. that can implement the above functions. Hereinafter, taking the robot controller as an example, this embodiment and the following embodiments will be described.

[0053] Based on this, an embodiment of the present application provides a power inspection method. Referring to Figure 1 , Figure 1 It is a schematic flowchart of the first embodiment of the power inspection method of the present application.

[0054] In this embodiment, the power inspection method includes steps S10 to S30:

[0055] Step S10, obtaining the experienced wind conditions and environmental images of the current environment of the inspection robot;

[0056] It should be noted that the inspection robot is an autonomous or semi-autonomous robot that can perform power patrol and inspection tasks in various environments. The inspection robot is usually equipped with a high-definition camera and other sensors, such as temperature sensors, gas sensors, etc., so as to collect environmental data in real time. The current environment is the environment where the inspection robot is located at the current moment. The experienced wind conditions are meteorological conditions such as wind speed and wind direction encountered by the inspection robot during the execution of tasks. The environmental image is the visual information of the surrounding environment captured by the camera carried by the inspection robot.

[0057] In a specific implementation, the wind condition information such as wind speed and wind direction of the current environment can be collected in real time by using the sensors on the inspection robot, and the environmental image can also be captured by using the camera; if the inspection robot is not equipped with sensors for collecting wind condition information, the environmental image can be captured first by using the camera. If the robot controller remotely controls the inspection robot, the robot controller can also receive the environmental image according to 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 pointed to by the environmental image from the meteorological detection device side.

[0058] Step S20, based on the experienced wind conditions and the environmental image, simulating the process of sending instruction information to the inspection robot, and determining the signal attributes required for sending the instruction information;

[0059] It should be noted that the instruction information is a control command sent by the robot controller to the inspection robot, which is used to guide the robot to perform specific tasks or actions. These instructions may include movement paths, detection parameters, alarm thresholds, etc. The signal attributes refer to the characteristics of the signal used to transmit the instruction information, including but not limited to transmission power, signal-to-noise ratio, signal type (such as radio wave, infrared ray, etc.), frequency, bandwidth, modulation method, coding method, etc.

[0060] It can be understood that, according to the experienced wind conditions and environmental images, the process of simulating the sending of instruction information is carried out to accurately determine the signal consumption of the current environment, and based on this consumption, the signal attributes required to control the inspection robot in the current environment are determined, and it is determined to send to ensure that the instruction can be correctly received and executed.

[0061] In a specific implementation, a digital scenario for sending instruction information to the inspection robot is configured according to the experienced wind conditions and environmental images. In this digital scenario, the process of sending instruction information to the inspection robot is simulated, and the attenuation data of the signal carrying the instruction information during the simulation process, as well as the wind condition data corresponding to the attenuation data, are recorded in real time, so as to analyze the signal attributes required for the Beidou satellite or the robot controller to send instruction information according to the wind condition data and attenuation data, such as attributes such as transmit power, signal-to-noise ratio, frequency, and bandwidth.

[0062] Step S30, send instruction information to the inspection robot based on the signal attributes, so that the inspection robot performs a power inspection task.

[0063] It should be noted that the power inspection task refers to the inspection and maintenance work performed by the inspection robot in the power system. This includes inspecting the status of power lines, transformers, switchgear and other facilities, and detecting potential faults or safety hazards. By using the inspection robot, the reliability of the power system can be improved, and the risks and costs of manual inspection can be reduced.

[0064] It can be understood that according to the signal attributes, it can be ensured that the instruction information can be stably and accurately transmitted to the inspection robot without interference or attenuation, so that the inspection robot can receive a signal with complete instruction information, so that the inspection robot can accurately patrol or inspect according to the instructions sent by the robot controller, improving the accuracy of the inspection robot for power inspection.

[0065] In a specific implementation, attributes such as transmit power, signal-to-noise ratio, frequency, and bandwidth required for the Beidou satellite to forward instruction information are configured according to the signal attributes, and then the instruction information of the robot controller for the inspection robot is forwarded through the Beidou satellite by using the configured signal attributes to ensure that the attenuation of the forwarded signal by the current environment does not damage the instruction information.

[0066] Furthermore, step S30 further includes:

[0067] Extract the transmit power and signal-to-noise ratio required for sending instruction information from the signal attributes;

[0068] Send instruction information to the inspection robot according to the transmit power and the signal-to-noise ratio.

[0069] It should be noted that the transmit power is the power level of the signal emitted by the transmitter in a wireless communication system. The transmit power determines the coverage distance of the signal during propagation and its ability to penetrate obstacles. A higher transmit power generally means that the signal can be received at a farther distance and has 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 receiver and is an important indicator for measuring 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 and thus improve the reliability and accuracy of communication.

[0070] It can be understood that since the transmit power and the signal-to-noise ratio are obtained by inversely inferring the signal loss in the current environment, by extracting the transmit 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.

[0071] It can be understood that by dynamically adjusting the transmit 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 where the inspection robot is located. By real-time monitoring 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 the signal transmission efficiency, avoiding the inspection robot from not receiving complete command information, and thus improving the accuracy of the inspection robot for power inspection.

[0072] This embodiment provides a power inspection method. The environmental image and the 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 on the signal, in order to enable the inspection robot to receive a complete signal 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 the experienced wind conditions, so as to inversely infer the signal attributes required for sending command information to the inspection robot, and then send the command information according to the signal attributes to ensure that the inspection robot does not lose command information during signal transmission, and further ensure that the command information received by the inspection robot is complete information, so that the inspection robot can accurately execute 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, and thus improve the accuracy of the inspection robot for power inspection.

[0073] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as that in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 2 , before step S20, the power inspection method further includes steps S21 to S22:

[0074] Step S21: Extract the voice features from the environmental image based on a preset interference model, and determine the interference degree of the current environment on the signal according to the voice features and the experienced wind conditions. The preset interference model is obtained by training a model to be trained through the correlation relationship between the signal loss of the transmitted signal and different wind conditions analyzed during signal transmission in various working condition environments;

[0075] Step S22: Based on the interference degree, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information.

[0076] It should be noted that the preset interference model is a pre-established mathematical model obtained by training a model to be trained through the analysis of the correlation relationship between the signal loss of the transmitted signal and the wind conditions in different working condition environments. The preset interference model can predict the interference degree of signal transmission under specific environmental conditions, thereby providing a basis for optimizing signal attributes. The voice features refer to the voice-related feature information extracted from the environmental image, which may include the frequency, intensity, duration, and voice position of the voice. By analyzing the voice features in the environmental image, it is possible to understand whether there are voice sources in the current environment that may interfere with signal transmission, such as wind noise, mechanical noise, etc. The interference degree refers to the degree of influence of the current environment on signal transmission.

[0077] Furthermore, it should be noted that simulating the sending of command information means testing and verifying the process of sending command information through computer simulation or experimental simulation before actually sending the command information.

[0078] It can be understood that by combining the voice features and the experienced wind conditions, the interference degree of the environment on signal transmission can be evaluated to determine the signal attributes required for sending command information, thereby ensuring that the command information can be stably and accurately transmitted to the inspection robot.

[0079] It can be understood that in order to determine the signal attributes required for sending command information, such as signal type, frequency, bandwidth, modulation method, coding method, etc., to ensure that the command information can be correctly received and executed. Therefore, when officially sending command information, the process of sending command information to the inspection robot in the current environment can be simulated according to the interference degree to determine the signal loss of the current environment during the transmission process, and then accurately determine the signal attributes required for sending command information.

[0080] It can be understood that by using a preset interference model to accurately evaluate the degree of interference of the environment on the signal and accordingly adjusting the signal attributes of the transmitted instruction information, the accuracy and stability of the instruction transmission in a complex environment are improved, thereby reducing the consumption of the signal by the current environment, or causing the current environment to consume the camouflage signal, avoiding the consumption of the signal carrying the instruction information, and thus avoiding the inspection interruption or error caused by signal problems.

[0081] It can be understood that by predicting the degree of interference of the signal in the current scenario through a preset interference model and then determining the signal attributes of the transmitted signal according to the degree of interference, the strategy signal attributes can be flexibly adjusted according to the actual situation, enabling the inspection robot to adapt to a variety of complex environments, and the accurate instruction transmission ensures that the inspection robot can perform tasks efficiently and safely, avoiding unnecessary repeated operations or risks caused by misunderstanding instructions, thereby improving the overall inspection efficiency.

[0082] Further, step S22 further includes:

[0083] Conduct interference attribute analysis on the degree of interference to determine the interference configuration information when the current environment sends instruction information to the inspection robot;

[0084] Based on the interference configuration information, simulate the process of sending instruction information to the inspection robot to determine the signal loss during the transmission of the instruction information;

[0085] Based on the signal loss, inversely deduce the signal attributes required for sending the instruction information.

[0086] It should be noted that interference attribute analysis refers to further analyzing the degree of interference to determine the specific attributes of the interference. The interference attributes may include the frequency, intensity, duration of the interference, and the azimuth of the interference source, etc. The interference configuration information is determined according to the results of the interference attribute analysis and is used for the configuration data of the simulated scenario required to simulate the interference caused by the current scenario to the instruction information. Signal loss refers to the weakening of the signal intensity during the signal transmission process due to various reasons (such as interference, attenuation, etc.).

[0087] It can be understood that through interference attribute analysis, the characteristics and impacts of the interference can be more accurately understood, thus providing a basis for optimizing the signal attributes of the transmitted signal.

[0088] It can be understood that by analyzing the signal loss, the loss situation of the signal during the transmission process can be understood, thus providing a basis for optimizing the signal attributes.

[0089] It can be understood that by inversely deducing the signal attributes, it is ensured that the instruction information can be stably and accurately transmitted to the inspection robot in an interference environment.

[0090] In a specific implementation, a data processing center can be constructed to integrate image recognition and machine learning algorithms, which are responsible for environmental feature extraction, interference degree evaluation, and interference attribute analysis, and calculate the optimal instruction signal attributes through a signal loss simulation algorithm and a backtracking algorithm. Among them, the algorithm can predict signal loss through simulation according to the interference configuration information.

[0091] Further, the step of simulating the process of sending instruction information to the inspection robot based on the interference configuration information and determining the signal loss of the instruction information during transmission includes:

[0092] Based on the interference configuration information, determine the consumption details of the current environment for the instruction information at each transmission moment during the process of sending the instruction information to the inspection robot;

[0093] Based on the consumption details, determine the distribution of sound - emitting objects that consume the instruction information in the current environment and the interference power of each sound - emitting object on the instruction information;

[0094] Based on the sound - emitting objects and the interference power, simulate the consumption process of sending the instruction information to the inspection robot and determine the signal loss of the instruction information during transmission.

[0095] It should be noted that the consumption in the consumption details refers to various attenuations and interferences suffered by the instruction information during transmission, and the consumption details refer to the specific details of these attenuations and interferences, including the time, location, reason, and intensity when they occur. A sound - emitting object is any object that can emit sound and may interfere with the instruction information in the current environment. These objects may be leaves, garbage, antennas, buildings, and trees that can make sounds when blown by the wind. The interference power is an index to measure the ability of each sound - emitting object to interfere with the instruction information, indicating the interference intensity caused by the object to signal transmission, usually expressed in watts (W) or decibels (dB).

[0096] It can be understood that by analyzing in detail the consumption of the environment on the instruction information, the sending strategy of the instruction information can be optimized to reduce unnecessary signal emissions, lower energy consumption, further reduce signal loss, improve the transmission speed, accuracy, and transmission stability of the instruction information, thereby enhancing the working efficiency of the inspection robot.

[0097] In a specific implementation, interference configuration information of the current environment is obtained through an environmental monitoring device, including parameters such as the location, intensity, and frequency of interference sources. According to the task plan of the inspection robot, the sending time and receiving time of the instruction information are determined. For each transmission time, the consumption of the instruction information by the current environment is calculated based on the interference configuration information, including the consumption details of signal attenuation, noise interference, etc. Then, according to the consumption details, objects that consume a large amount of instruction information and can make sounds when blown by the wind are identified. For each sounding object, its interference power on the instruction information is calculated based on its location and characteristics. Then, based on the distribution and interference power of the sounding objects, a simulation model of signal transmission is established. The transmission process of the instruction information is simulated in the simulation model, and the loss situation of the signal at different transmission times is recorded. Finally, according to the simulation results, the signal loss of the instruction information during transmission is determined.

[0098] Based on the first and second embodiments of the present application, in the third embodiment of the present application, the same or similar content as the above embodiments can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 3 , before step S21, the power inspection method further includes steps S1 to S4:

[0099] Step S1, obtaining the historical signal sent to the inspection robot and the working condition environment when transmitting the historical signal;

[0100] 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 condition environments;

[0101] Step S3, performing a correlation analysis on the wind condition in the working condition environment and the signal loss to determine the correlation relationship between the wind condition and the signal loss;

[0102] Step S4, training a preset model to be trained based on the correlation relationship to obtain a preset interference model.

[0103] It should be noted that historical signals are the command or data signals sent to the inspection robot in the past, and these signals can contain various types of information, such as control commands, status queries, etc. The working condition environment is the actual environmental conditions during the transmission of historical signals, including wind speed, wind direction, terrain, and environment, etc. Loss analysis is the analysis of the losses suffered by historical signals during transmission. The losses can be the weakening of signal strength, the increase in bit error rate, transmission delay, etc. Through loss analysis, the performance of signal transmission under different working condition environments can be determined. Signal loss is the specific amount of loss suffered by historical signals during transmission in a specific working condition environment, which can be a quantified value, such as a percentage or decibel number, used to describe the degree of signal quality degradation. Correlation analysis is the analysis of the relationship between the wind conditions in the working condition environment and signal loss. Through correlation analysis, it can be determined how wind condition factors such as wind speed and wind direction affect the loss of signal transmission.

[0104] It can be understood that by performing loss analysis on historical signals and determining the correlation relationship between the working condition environment and signal loss, and using this correlation relationship to train the model to enhance the correlation between signal loss and wind conditions in the model, the trained preset interference model can accurately determine the degree of interference on the signal according to the experienced wind conditions.

[0105] In specific implementation, historical signals received by the inspection robot at different time periods can be collected through signal recording devices. While collecting historical signals, the working condition environment during the transmission of these signals is recorded, including parameters such as temperature, humidity, wind speed, wind direction, terrain, and environment. Signal processing algorithms are used to analyze the historical signals, calculate the signal loss when transmitting signals in each working condition environment, and record the signal loss data under each working condition environment. Then, wind condition data, including wind speed and wind direction, is extracted from the working condition environment, and statistical analysis methods are used to perform correlation analysis on the wind condition data and signal loss data to determine the correlation relationship between wind conditions and signal loss. Finally, machine learning algorithms are used to train the preset model to be trained based on the correlation relationship between wind conditions and signal loss, and the trained model is verified using a validation data set to ensure the accuracy and reliability of the model. The trained model is applied to the actual scenario to predict the signal loss situation under different wind conditions.

[0106] In specific implementation, in addition to wind condition data, other working condition environment data, such as temperature, humidity, electromagnetic interference, etc., can also be collected. Comprehensive correlation analysis is performed on all working condition environment data and signal loss data to determine the correlation relationship between each working condition factor and signal loss. Then, based on the comprehensive correlation relationship, a multi-factor interference model is trained to improve the prediction accuracy of the model.

[0107] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the power inspection method of the present application. Based on this technical concept, more forms of simple transformation are within the protection scope of the present application.

[0108] The present application also provides a power inspection device. Please refer to Figure 4 , the power inspection device includes:

[0109] An acquisition module 10, configured to acquire the experienced wind conditions and environmental images of the current environment of the inspection robot;

[0110] A simulation module 20, configured to simulate the process of sending command information to the inspection robot based on the experienced wind conditions and the environmental images, and determine the signal attributes required for sending the command information;

[0111] An inspection module 30, configured to send command information to the inspection robot based on the signal attributes, so that the inspection robot performs a power inspection task.

[0112] Optionally, the simulation module 20 is further configured to extract voice features from the environmental images based on a preset interference model, and determine the interference degree of the current environment on the signal according to the voice features and the experienced wind conditions. The preset interference model is obtained by training a model to be trained through the correlation relationship between the signal loss of the transmitted signal and different wind conditions when transmitting signals in various working condition environments; based on the interference degree, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information.

[0113] Optionally, the simulation module 20 is further configured to perform interference attribute analysis on the interference degree to 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 transmission; based on the signal loss, inversely deduce the signal attributes required for sending the command information.

[0114] Optionally, the simulation module 20 is further configured to determine the consumption details of the current environment on the command information at each transmission moment during the process of sending command information to the inspection robot based on the interference configuration information; based on the consumption details, determine the distribution of the sound-producing objects that consume the command information in the current environment and the interference power of each sound-producing object on the command information; based on the sound-producing objects and the interference power, simulate the consumption process of sending command information to the inspection robot, and determine the signal loss of the command information during transmission.

[0115] Optionally, the simulation module 20 is further configured to obtain the historical signals sent to the inspection robot and the working condition environment when the historical signals are transmitted; perform loss analysis on the historical signals to determine the signal loss of the corresponding historical signals when transmitting signals in each of the working condition environments; perform correlation analysis on the wind conditions in the working condition environments and the signal loss to determine the correlation relationship between the wind conditions and the signal loss; and train a preset model to be trained based on the correlation relationship to obtain a preset interference model.

[0116] Optionally, the inspection module 30 is configured to extract the transmission power and signal-to-noise ratio required for sending instruction information from the signal attributes; and send the instruction information to the inspection robot according to the transmission power and the signal-to-noise ratio.

[0117] The power inspection device provided in this application adopts the power inspection method in the above embodiment, which can solve the technical problem of the reduced accuracy of the inspection robot in performing power inspection. Compared with the prior art, the beneficial effects of the power inspection device provided in this application are the same as those of the power inspection method provided in the above embodiment, and other technical features in the power inspection device are the same as those disclosed in the method of the above embodiment, which will not be elaborated here.

[0118] This application provides a 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 power inspection method in the first embodiment above.

[0119] Next, refer to Figure 5 , which shows a schematic structural diagram of a power inspection device suitable for implementing the embodiments of this application. The power inspection device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The power inspection device shown is only an example and should not impose any limitation on the functions and usage scope of the embodiments of this application.

[0120] As Figure 5As shown, the power inspection device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the power inspection device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 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 wiredly 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 shown systems. More or fewer systems can be alternatively implemented or had.

[0121] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. 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 contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0122] The power inspection device provided by the present application adopts the power inspection method in the above embodiment, and can solve the technical problem of the decreased accuracy of the inspection robot in performing power inspection. Compared with the prior art, the beneficial effects of the power inspection device provided by the present application are the same as those of the power inspection method provided by the above embodiment, and other technical features in the power inspection device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0123] 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 a suitable manner in any one or more embodiments or examples.

[0124] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0125] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the power inspection method in the above embodiments.

[0126] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0127] The above computer-readable storage medium can be included in the power inspection device; it can also exist separately without being assembled into the power inspection device.

[0128] The above computer-readable storage medium carries one or more programs, which, when executed by the power inspection device, cause the power inspection device to: 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 images, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information; and send the command information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

[0129] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone 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 (for example, by using an Internet service provider to connect through the Internet).

[0130] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that, in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0131] The modules described in the embodiments of the present application may be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.

[0132] The readable storage medium provided by this application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned power inspection method, which can solve the technical problem of the reduced accuracy of the inspection robot during power inspection. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the power inspection method provided by the above embodiment, and will not be elaborated here.

[0133] This application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it realizes the steps of the power inspection method as described above.

[0134] The computer program product provided by this application can solve the technical problem of the reduced accuracy of the inspection robot during power inspection. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as those of the power inspection method provided by the above embodiment, and will not be elaborated here.

[0135] The above are only some embodiments of this application, and thus do not limit the patent scope of this application. Any equivalent structural transformation made by using the content of the specification and drawings of this application under the technical concept of this application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of this application.

Claims

1. A power inspection method, characterized in that, The method described above includes: Obtain the experienced wind conditions and environmental images of the current environment of the inspection robot, extract the voice characteristics of the environmental image based on a preset interference model, and determine the interference degree of the current environment on the signal by combining the voice characteristics and the experienced wind conditions; Based on the interference degree, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information; Conduct an interference attribute analysis on the interference degree to 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, inversely deduce the signal attributes required for sending the command information; Send command information to the inspection robot based on the signal attributes, so that the inspection robot performs the power inspection task.

2. The method according to claim 1, wherein The step of determining the signal attributes required for sending the command information by simulating the process of sending command information to the inspection robot based on the interference degree includes: The preset interference model is obtained by training a model to be trained through the correlation relationship between the signal loss of the transmitted signal and different wind conditions analyzed when transmitting signals in various working condition environments; Based on the interference degree, simulate the process of sending command information to the inspection robot, and determine the signal attributes required for sending the command information.

3. The method according to claim 2, wherein The step of determining the signal loss of the command information during the transmission process by simulating the process of sending command information to the inspection robot based on the interference configuration information includes: Based on the interference configuration information, determine the consumption details of the current environment on the command information at each transmission moment during the process of sending command information to the inspection robot; Based on the consumption details, determine the distribution of the sound-producing objects that consume the command information in the current environment and the interference power of each sound-producing object on the command information; Based on the sound-producing objects and the interference power, simulate the consumption process of sending command information to the inspection robot, and determine the signal loss of the command information during the transmission process.

4. The method according to claim 2, characterized in that Before the step of extracting the voice characteristics of the environmental image based on the preset interference model and determining the interference degree of the current environment on the signal according to the voice characteristics and the experienced wind conditions, the following steps are also included: Obtain the historical signals sent to the inspection robot and the working condition environments when transmitting the historical signals; Conduct a loss analysis on the historical signals to determine the signal loss of the corresponding historical signals when transmitting signals in each working condition environment; Conduct a correlation analysis on the wind conditions and the signal loss in the working condition environment to determine the correlation relationship between the wind conditions and the signal loss; Train a preset model to be trained based on the correlation relationship to obtain a preset interference model.

5. The method according to claim 1, wherein The step of sending command information to the inspection robot based on the signal attributes includes: Extract the transmit power and signal-to-noise ratio required for sending command information from the signal attributes; Send command information to the inspection robot according to the transmit power and the signal-to-noise ratio.

6. An electric power inspection device, characterized in that, The device includes: An acquisition module, configured to acquire the experienced wind conditions and environmental images of the current environment of the inspection robot, extract voice features from the environmental images based on a preset interference model, and determine the interference degree of the current environment on the signal by combining the voice features and the experienced wind conditions; A simulation module, configured to simulate the process of sending command information to the inspection robot based on the experienced wind conditions and the environmental images, and determine the signal attributes required for sending the command information; Perform interference attribute analysis on the interference degree to determine the interference configuration information when sending command information to the inspection robot in the current environment; Based on the interference configuration information, simulate the process of sending command information to the inspection robot, and determine the signal loss during the transmission of the command information; Based on the signal loss, inversely deduce the signal attributes required for sending the command information; An inspection module, configured to send command information to the inspection robot based on the signal attributes, so that the inspection robot performs a power inspection task.

7. An electric power inspection device, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the power inspection method according to any one of claims 1 to 5.

8. 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 5 are implemented.

9. A computer program product, characterized in that, The computer program product includes a computer program. When the computer program is executed by a processor, the steps of the power inspection method according to any one of claims 1 to 5 are implemented.

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