A comprehensive monitoring device for power line images

Abstract

The present invention relates to the field of power line monitoring technology, and in particular to a power line image comprehensive monitoring device, comprising a power line supervision platform, a monitoring information unit, a time period operation evaluation unit, a monitoring obstacle analysis unit, a control response analysis unit, an image risk analysis unit, a dynamic evaluation unit and an early warning response unit; the present invention ensures the monitoring stability and effectiveness of the monitoring device by analyzing from the working operation angle of the monitoring device, and under the premise that the device is normal, performs control response limitation evaluation analysis on the control operation data of the monitoring device in a progressive manner to understand whether the precise control risk of the monitoring device in the process of photographing and monitoring the power line is too high, so as to optimize the management of the control drive components of the monitoring device according to the information feedback situation, and performs image acquisition deviation feedback analysis by information feedback and information fusion to improve the shooting accuracy and acquisition quality during power line monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of power line monitoring, and in particular to a power line image comprehensive monitoring device. Background Art

[0002] As the coverage of power lines continues to increase, the number of lines that need to be monitored and maintained has also increased. In addition, the laying of power lines has gradually extended to remote areas such as mountainous areas, forests, and deserts. Accordingly, it has become increasingly difficult to achieve line status monitoring and maintenance management.

[0003] Traditional power line monitoring methods often rely on manual inspections or detection equipment deployed on power lines. However, in existing monitoring technologies, it is impossible to safely monitor the working status of the monitoring equipment, thereby reducing the monitoring effect of the monitoring equipment, and it is impossible to monitor the shooting adjustment process of the monitoring equipment, thereby reducing the control accuracy of the monitoring equipment and affecting the image quality of the monitoring equipment.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a comprehensive power line image monitoring device to solve the above-mentioned technical defects. The present invention analyzes from the perspective of the working operation of the monitoring device to ensure the monitoring stability and effectiveness of the monitoring device. Under the premise that the equipment is normal, the control response limitation evaluation analysis is performed on the control operation data of the monitoring device in a progressive manner to understand whether the risk of the monitoring device achieving precise control in the process of photographing and monitoring the power line is too high, so as to optimize the management of the control drive components of the monitoring device according to the information feedback situation, and image acquisition deviation feedback analysis is performed by means of information feedback and information fusion to understand the risk of the monitoring device achieving precise image capture in the process of photographing and monitoring the power line, and combined with the analysis of external interference, so as to improve the comprehensiveness of the analysis data of the monitoring device, which is conducive to the reasonable collection, monitoring and control of the monitoring equipment.

[0006] The object of the present invention can be achieved by the following technical solutions: a power line image comprehensive monitoring device, including a power line supervision platform, a monitoring information unit, a time period operation evaluation unit, a monitoring obstacle analysis unit, a regulation response analysis unit, an image risk analysis unit, a dynamic evaluation unit and an early warning response unit;

[0007] The monitoring information unit is used to collect actual operating parameters and monitoring obstacle data of the monitoring equipment, the monitoring obstacle data including the environmental parameter change curve and the historical maintenance list, and send the actual operating parameters and monitoring obstacle data to the time period operation evaluation unit and the monitoring obstacle analysis unit respectively;

[0008] After receiving the actual operation parameters, the period operation evaluation unit immediately performs period operation safety supervision analysis on the actual operation parameters, and performs discriminant analysis on the monitoring failure ratio to obtain a stable signal and a risk signal;

[0009] After receiving the monitoring obstacle data, the monitoring obstacle analysis unit immediately performs external interference control impact feedback analysis on the monitoring obstacle data, and sends the obtained obstacle collection evaluation coefficient YP to the image risk analysis unit;

[0010] The control response analysis unit is used to collect control operation data of the monitoring device, the control operation data including the continuous over-temperature loss value and the control optimization coefficient, and perform control response restriction evaluation analysis on the control operation data to obtain qualified signals and unqualified signals;

[0011] After receiving the obstruction acquisition assessment coefficient YP, the image risk analysis unit immediately performs image acquisition deviation feedback analysis, and performs discriminant analysis on the accuracy deviation assessment coefficient RJ to obtain a compliance signal and an optimization signal;

[0012] The dynamic evaluation unit is used to collect the captured image data of the monitoring equipment, the captured image data represents the captured image failure rate, and perform dynamic trend prediction management feedback analysis on the captured image data, and send the obtained early warning control signal to the early warning response unit.

[0013] Preferably, the period operation safety supervision analysis process of the period operation evaluation unit is as follows:

[0014] The working time period of the monitoring device is obtained and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, the actual operating parameters of the monitoring device in each sub-time period are obtained, the actual operating parameters include the actual operating voltage and the actual energy consumption value, and then the change curve corresponding to the actual operating parameters is obtained and set as the actual parameter curve, the maximum peak value and the minimum trough value in each actual parameter curve are obtained, and the interval composed of the maximum peak value and the minimum trough value is set as the actual parameter interval;

[0015] The actual parameter interval is compared and analyzed with the preset actual parameter interval stored in the internal data entry. If the actual parameter interval is satisfied that all of them are within the preset actual parameter interval, a normal signal is generated, and the sub-time period corresponding to the normal signal is set as the normal time period. If the actual parameter interval is not satisfied that all of them are within the preset actual parameter interval, an abnormal signal is generated, and the sub-time period corresponding to the abnormal signal is set as the abnormal time period, and then a fan-shaped diagram of the normal time period - abnormal time period is obtained, and then the ratio of the area of ​​the fan-shaped area corresponding to the abnormal time period to the area of ​​the fan-shaped area corresponding to the normal time period is obtained, and it is set as the monitoring failure ratio, and the monitoring failure ratio is compared and analyzed with the preset monitoring failure ratio threshold stored in the internal data entry:

[0016] If the ratio between the monitoring failure ratio and the preset monitoring failure ratio threshold is less than 1, a stable signal is generated;

[0017] If the ratio between the monitoring failure ratio and the preset monitoring failure ratio threshold is greater than or equal to 1, a risk signal is generated.

[0018] Preferably, the external interference regulation impact feedback analysis process of the monitoring obstacle analysis unit is as follows:

[0019] S1: Obtain the environmental parameter change curve of the environment in which the monitoring device is located within the time threshold, the environmental parameters include temperature value, humidity value, dust concentration value, obtain the time corresponding to the line segment of the environmental parameter change curve above the corresponding preset threshold curve, and set it as the attachment time, obtain the overlapping part of the attachment time corresponding to the environmental parameter change curve, and set it as the adhesion resistance coefficient FZ;

[0020] S2: Obtain the historical maintenance list of the monitoring equipment within the time threshold, and obtain the replacement parts information of the monitoring equipment from the historical maintenance list. The replacement parts information includes the total number of replacement parts and the part status. The part status includes the first-time unpacked parts and the non-first-time unpacked parts. At the same time, obtain the proportion of the number of parts whose working temperature exceeds the preset working temperature for a time period longer than the preset threshold in the total number of replacement parts, and set it as the exclusion risk value PC. At the same time, obtain the proportion of the number of delayed maintenance from the historical maintenance list, and set it as the operation and maintenance legacy coefficient YW;

[0021] S3: Obtain the collection obstruction assessment coefficient YP according to the formula.

[0022] Preferably, the regulation response limitation evaluation analysis process of the regulation response analysis unit is as follows:

[0023] The total number of historical operations of the control drive component in the monitoring device within the time threshold is obtained, the control period of each control drive component is obtained, and then the proportion of the portion of the maximum operating temperature value of the control drive component exceeding the initial operating temperature value within the control period that is greater than the duration corresponding to the preset threshold is obtained, and it is set as the temperature runaway operation value, and the ratio between the number of times the temperature runaway operation value is greater than the internal preset temperature runaway operation value threshold and the total number of historical operations is set as the continuous over-temperature loss value;

[0024] The ratio between the number of times the monitoring equipment has step error values ​​during the control period and the total number of historical operations is obtained, and set as the control optimization coefficient. The step error value indicates that the actual control amount corresponding to the control step deviates from the set control amount. The control steps include telescoping, rotation, and zooming.

[0025] Preferably, the continuous over-temperature loss value and the control optimization coefficient are compared and analyzed with the preset continuous over-temperature loss value threshold and the preset control optimization coefficient threshold that are recorded and stored internally:

[0026] If the continuous over-temperature loss value is less than the preset continuous over-temperature loss value threshold, and the control optimization coefficient is less than the preset control optimization coefficient threshold, a qualified signal is generated;

[0027] If the continuous over-temperature loss value is greater than or equal to the preset continuous over-temperature loss value threshold, or the control optimization coefficient is greater than or equal to the preset control optimization coefficient threshold, an unqualified signal is generated, and the qualified signal and the unqualified signal are sent to the early warning response unit.

[0028] Preferably, the image acquisition deviation feedback analysis process of the image risk analysis unit is as follows:

[0029] Obtain the continuous over-temperature loss value and control optimization coefficient of the control drive component of the monitoring equipment within the time threshold, and obtain the hindering collection evaluation coefficient YP at the same time, and number the continuous over-temperature loss value and the control optimization coefficient as CG and TY respectively;

[0030] The accuracy deviation evaluation coefficient RJ is obtained according to the formula, and the accuracy deviation evaluation coefficient RJ is compared and analyzed with the preset accuracy deviation evaluation coefficient threshold value stored in the internal data entry:

[0031] If the ratio between the accuracy deviation evaluation coefficient RJ and the preset accuracy deviation evaluation coefficient threshold is less than 1, a compliance signal is generated;

[0032] If the ratio between the accuracy deviation evaluation coefficient RJ and the preset accuracy deviation evaluation coefficient threshold is greater than or equal to 1, an optimization signal is generated.

[0033] Preferably, the dynamic trend prediction management feedback analysis process of the dynamic evaluation unit is as follows:

[0034] Obtain the image failure rate and the precision deviation assessment coefficient corresponding to the compliance signal of the monitoring equipment within the next j time thresholds, where j is a natural number greater than 3. The image failure rate represents the proportion of the number of failed images in the total number of images taken by the monitoring equipment within the time threshold. The failed image represents a captured image whose clarity is lower than the preset clarity. A rectangular coordinate system is established with the number of time thresholds as the X-axis and the image failure rate and the precision deviation assessment coefficient as the Y-axis. The image failure rate curve and the precision deviation assessment coefficient curve are drawn by plotting points, and then the change trend values ​​of the image failure rate curve and the precision deviation assessment coefficient curve are obtained, and they are set as the image clarity optimization value and the precision control value, respectively.

[0035] Compare and analyze the image clarity optimization value and precision control value with the preset image clarity optimization value threshold and preset precision control value threshold that are stored internally:

[0036] If the image clarity optimization value is less than the preset image clarity optimization value threshold, and the accuracy control value is less than the preset accuracy control value threshold, no signal is generated;

[0037] If the image clarity optimization value is greater than or equal to the preset image clarity optimization value threshold, or the accuracy control value is greater than or equal to the preset accuracy control value threshold, an early warning control signal is generated.

[0038] The beneficial effects of the present invention are as follows:

[0039] The present invention analyzes from the perspective of the working operation of the monitoring equipment to understand whether the risk of abnormal operation of the monitoring equipment is too high, so as to timely perform early warning feedback management to ensure the monitoring stability and effectiveness of the monitoring equipment. Under the premise that the equipment is normal, the control response limitation evaluation analysis is performed on the control operation data of the monitoring equipment in a progressive manner to understand whether the risk of the monitoring equipment achieving precise control in the process of photographing and monitoring the power line is too high, so as to optimize the management of the control drive components of the monitoring equipment according to the information feedback situation;

[0040] The present invention performs image acquisition deviation feedback analysis through information feedback and information fusion to understand the risk of accurate image capture of monitoring equipment during the process of shooting and monitoring power lines, and analyzes the impact of external interference to improve the comprehensiveness of the monitoring equipment analysis data, which helps to reasonably collect, monitor and control the monitoring equipment to improve the shooting accuracy and acquisition quality during power line monitoring, and performs dynamic trend prediction management feedback analysis on the captured image data in an in-depth manner to analyze from the perspective of dynamic trends to improve the image capture quality of the monitoring equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings;

[0042] Figure 1 It is a flowchart of the system of the present invention;

[0043] Figure 2 It is a partial reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0045] See also Figure 1 to Figure 2 As shown, the present invention is a comprehensive monitoring device for power line images, including a power line supervision platform, a monitoring information unit, a time period operation evaluation unit, a monitoring obstacle analysis unit, a control response analysis unit, an image risk analysis unit, a dynamic evaluation unit and an early warning response unit. The power line supervision platform is connected to the monitoring information unit in a one-way communication manner, the monitoring information unit is connected to the time period operation evaluation unit and the monitoring obstacle analysis unit in a one-way communication manner, the time period operation evaluation unit is connected to the control response analysis unit and the early warning response unit in a one-way communication manner, the control response analysis unit is connected to the image risk analysis unit and the early warning response unit in a one-way communication manner, the monitoring obstacle analysis unit is connected to the image risk analysis unit in a one-way communication manner, the image risk analysis unit is connected to the dynamic evaluation unit and the early warning response unit in a one-way communication manner, and the dynamic evaluation unit is connected to the early warning response unit in a one-way communication manner;

[0046] When the power line supervision platform detects that any monitoring device is working in the power line, an operation and management instruction is generated and sent to the monitoring information unit. After receiving the operation and management instruction, the monitoring information unit immediately collects the actual operation parameters and monitoring obstacle data of the monitoring device. The monitoring obstacle data includes the environmental parameter change curve and the historical maintenance list, and sends the actual operation parameters and monitoring obstacle data to the time period operation evaluation unit and the monitoring obstacle analysis unit respectively. After receiving the actual operation parameters, the time period operation evaluation unit immediately performs a time period operation safety supervision analysis on the actual operation parameters, so as to analyze from the perspective of the working operation of the monitoring device, so as to understand whether the abnormal operation risk of the monitoring device is too high, so as to carry out early warning feedback management in a timely manner. The specific time period operation safety supervision analysis process is as follows:

[0047] The working period of the monitoring device is obtained and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, the actual operating parameters of the monitoring device in each sub-time period are obtained, the actual operating parameters include the actual operating voltage, the actual energy consumption value, etc., and then the change curve corresponding to the actual operating parameters is obtained and set as the actual parameter curve, the maximum peak value and the minimum trough value in each actual parameter curve are obtained, and the interval composed of the maximum peak value and the minimum trough value is set as the actual parameter interval;

[0048] It should be noted that the actual operating parameters of the monitoring device may include but are not limited to: actual operating voltage, actual energy consumption value. It can be understood that this example is only used to illustrate the actual operating parameters of the monitoring device. In actual application, the actual operating parameters of the monitoring device obtained can be preset according to actual needs.

[0049] The actual parameter interval is compared and analyzed with the preset actual parameter interval stored in the internal data entry. If the actual parameter interval is satisfied that all of them are within the preset actual parameter interval, a normal signal is generated, and the sub-time period corresponding to the normal signal is set as the normal time period. If the actual parameter interval is not satisfied that all of them are within the preset actual parameter interval, an abnormal signal is generated, and the sub-time period corresponding to the abnormal signal is set as the abnormal time period, and then a fan-shaped diagram of the normal time period - abnormal time period is obtained, and then the ratio of the area of ​​the fan-shaped area corresponding to the abnormal time period to the area of ​​the fan-shaped area corresponding to the normal time period is obtained, and it is set as the monitoring failure ratio, and the monitoring failure ratio is compared and analyzed with the preset monitoring failure ratio threshold stored in the internal data entry:

[0050] If the ratio between the monitoring failure ratio and the preset monitoring failure ratio threshold is less than 1, a stabilization signal is generated and sent to the control response analysis unit;

[0051] If the ratio between the monitoring failure ratio and the preset monitoring failure ratio threshold is greater than or equal to 1, a risk signal is generated and sent to the early warning response unit. After receiving the risk signal, the early warning response unit immediately performs the preset early warning operation corresponding to the risk signal, so as to reasonably operate and maintain the monitoring equipment according to the information feedback, so as to ensure the monitoring stability and effectiveness of the monitoring equipment;

[0052] After receiving the monitoring obstacle data, the monitoring obstacle analysis unit immediately performs external interference control impact feedback analysis on the monitoring obstacle data to understand the external interference impact on the monitoring equipment during the process of photographing and monitoring the power line, so as to improve the comprehensiveness of the monitoring equipment analysis data. The specific external interference control impact feedback analysis process is as follows:

[0053] Obtain the environmental parameter change curve of the environment in which the monitoring device is located within the time threshold, the environmental parameters include temperature value, humidity value, dust concentration value, etc., obtain the time corresponding to the line segment of the environmental parameter change curve above the corresponding preset threshold curve, and set it as the attachment time, obtain the overlapping part of the attachment time corresponding to the environmental parameter change curve, and set it as the attachment hindrance coefficient FZ. It should be noted that the larger the value of the attachment hindrance coefficient FZ, the greater the risk of the monitoring device being blocked and the greater the risk of shooting quality;

[0054] Obtain the historical maintenance list of the monitoring equipment within the time threshold, obtain the replacement parts information of the monitoring equipment from the historical maintenance list, the replacement parts information includes the total number of replacement parts and part status, the part status includes first-time unpacked parts and non-first-time unpacked parts, and at the same time obtain the proportion of the number of parts whose working temperature exceeds the preset working temperature for a time period longer than the preset threshold in the total number of replacement parts, and set it as the exclusionary risk value PC, and at the same time obtain the proportion of the number of delayed maintenance times from the historical maintenance list, and set it as the operation and maintenance legacy coefficient YW. It should be noted that the exclusionary risk value PC and the operation and maintenance legacy coefficient YW are two parameters that reflect the impact of operation and maintenance information on the regulation of monitoring equipment. The larger the values ​​of the exclusionary risk value PC and the operation and maintenance legacy coefficient YW, the greater the risk of obstruction of the monitoring equipment's regulation and the greater the risk of shooting quality;

[0055] According to the formula Obtain the obstruction collection assessment coefficient, where a1, a2 and a3 are the proportional factor coefficients of the adhesion obstruction coefficient FZ, the exclusion risk value PC and the operation and maintenance legacy coefficient YW respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. a4 is the preset error factor coefficient. a1, a2, a3 and a4 are all greater than zero. YP is the obstruction collection assessment coefficient, and the obstruction collection assessment coefficient YP is sent to the image risk analysis unit. Example

[0056] After receiving the stable signal, the control response analysis unit immediately collects the control operation data of the monitoring equipment, including the continuous over-temperature loss value and the control optimization coefficient, and performs control response restriction evaluation and analysis on the control operation data to understand whether the risk of the monitoring equipment achieving precise control during the process of photographing and monitoring the power line is too high. The specific control response restriction evaluation and analysis process is as follows:

[0057] The total number of historical operations of the control drive component in the monitoring device within the time threshold is obtained, the control period of each control drive component is obtained, and then the proportion of the portion of the maximum operating temperature value of the control drive component exceeding the initial operating temperature value within the control period that is greater than the duration corresponding to the preset threshold is obtained, and it is set as the temperature runaway operation value, and the ratio between the number of times the temperature runaway operation value is greater than the internal preset temperature runaway operation value threshold and the total number of historical operations is set as the continuous over-temperature loss value. It should be noted that the larger the value of the continuous over-temperature loss value, the greater the risk of abnormal control of the monitoring device and the higher the risk of deviation from the control accuracy;

[0058] The ratio between the number of times the monitoring device has step error values ​​during the control period and the total number of historical operations is obtained, and is set as the control optimization coefficient. The step error value indicates that the actual control amount corresponding to the control step deviates from the set control amount. The control steps include telescoping, rotation, and zooming. It should be noted that the larger the value of the control optimization coefficient, the greater the risk of abnormal control of the monitoring device.

[0059] Compare and analyze the continuous over-temperature loss value and the control optimization coefficient with the preset continuous over-temperature loss value threshold and the preset control optimization coefficient threshold stored in the system:

[0060] If the continuous over-temperature loss value is less than the preset continuous over-temperature loss value threshold, and the control optimization coefficient is less than the preset control optimization coefficient threshold, a qualified signal is generated;

[0061] If the continuous over-temperature loss value is greater than or equal to the preset continuous over-temperature loss value threshold, or the control optimization coefficient is greater than or equal to the preset control optimization coefficient threshold, an unqualified signal is generated, and the qualified signal and the unqualified signal are sent to the early warning response unit. After receiving the qualified signal and the unqualified signal, the early warning response unit immediately makes the preset early warning operation corresponding to the qualified signal and the unqualified signal, that is, the preset early warning operation corresponding to the qualified signal is "the indicator light is green", and the preset early warning operation corresponding to the unqualified signal is "the indicator light is yellow", so as to optimize the management of the control drive components of the monitoring equipment according to the information feedback, so as to ensure the control accuracy and control execution stability of the control drive components of the monitoring equipment;

[0062] After receiving the obstruction acquisition assessment coefficient YP, the image risk analysis unit immediately performs image acquisition deviation feedback analysis to understand the risk of accurate image capture by the monitoring equipment during the process of photographing and monitoring the power line, so as to reasonably monitor and control the monitoring equipment and improve the shooting accuracy during power line monitoring. The specific image acquisition deviation feedback analysis process is as follows:

[0063] Obtain the continuous over-temperature loss value and control optimization coefficient of the control drive component of the monitoring equipment within the time threshold, and obtain the hindering collection evaluation coefficient YP at the same time, and number the continuous over-temperature loss value and the control optimization coefficient as CG and TY respectively;

[0064] According to the formula The accuracy deviation evaluation coefficient is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the continuous overtemperature loss value, the control optimization coefficient and the hindered acquisition evaluation coefficient, f4 is the preset fault tolerance factor coefficient, f1, f2, f3 and f4 are all greater than zero, RJ is the accuracy deviation evaluation coefficient, and the accuracy deviation evaluation coefficient RJ is compared and analyzed with the preset accuracy deviation evaluation coefficient threshold value stored in the internal input:

[0065] If the ratio between the accuracy deviation evaluation coefficient RJ and the preset accuracy deviation evaluation coefficient threshold is less than 1, a compliance signal is generated and sent to the dynamic evaluation unit;

[0066] If the ratio between the accuracy deviation evaluation coefficient RJ and the preset accuracy deviation evaluation coefficient threshold is greater than or equal to 1, an optimization signal is generated, and the standard-reaching signal and the optimization signal are respectively sent to the early warning response unit. After receiving the standard-reaching signal and the optimization signal, the early warning response unit immediately displays the preset early warning texts corresponding to the standard-reaching signal and the optimization signal, that is, the preset early warning text corresponding to the standard-reaching signal is "acquisition accuracy reaches the standard", and the preset early warning text corresponding to the optimization signal is "optimized image acquisition", so as to carry out acquisition control and maintenance of the monitoring equipment according to the information feedback, so as to ensure the image acquisition accuracy and acquisition quality of the monitoring equipment;

[0067] After receiving the arrival signal, the dynamic evaluation unit immediately collects the captured image data of the monitoring device, the captured image data represents the captured image failure rate, and performs dynamic trend prediction management feedback analysis on the captured image data, so as to analyze it from the perspective of dynamic trend, so as to improve the image capture quality of the monitoring device. The specific dynamic trend prediction management feedback analysis process is as follows:

[0068] Obtain the image failure rate and the precision deviation assessment coefficient corresponding to the compliance signal of the monitoring equipment within the next j time thresholds, where j is a natural number greater than 3. The image failure rate represents the proportion of the number of failed images in the total number of images taken by the monitoring equipment within the time threshold. The failed image represents a captured image whose clarity is lower than the preset clarity. A rectangular coordinate system is established with the number of time thresholds as the X-axis and the image failure rate and the precision deviation assessment coefficient as the Y-axis. The image failure rate curve and the precision deviation assessment coefficient curve are drawn by plotting points, and then the change trend values ​​of the image failure rate curve and the precision deviation assessment coefficient curve are obtained, and they are set as the image clarity optimization value and the precision control value, respectively. It should be noted that the larger the values ​​of the image clarity optimization value and the precision control value, the greater the optimization demand for early warning of image shooting of the monitoring equipment.

[0069] Compare and analyze the image clarity optimization value and precision control value with the preset image clarity optimization value threshold and preset precision control value threshold that are stored internally:

[0070] If the image clarity optimization value is less than the preset image clarity optimization value threshold, and the accuracy control value is less than the preset accuracy control value threshold, no signal is generated;

[0071] If the image clarity optimization value is greater than or equal to the preset image clarity optimization value threshold, or the accuracy control value is greater than or equal to the preset accuracy control value threshold, an early warning control signal is generated, and the early warning control signal is sent to the early warning response unit. After receiving the early warning control signal, the early warning response unit immediately displays the preset early warning text corresponding to the early warning control signal, that is, the preset early warning text corresponding to the early warning control signal is "facility control", so as to perform image shooting control on the monitoring equipment according to the information feedback, so as to improve the image shooting quality of the monitoring equipment;

[0072] In summary, the present invention analyzes from the perspective of the working operation of the monitoring equipment to understand whether the risk of abnormal operation of the monitoring equipment is too high, so as to carry out early warning feedback management in a timely manner to ensure the monitoring stability and effectiveness of the monitoring equipment. Under the premise that the equipment is normal, the control response limitation evaluation analysis is performed on the control operation data of the monitoring equipment in a progressive manner to understand whether the risk of the monitoring equipment achieving precise control in the process of photographing and monitoring the power line is too high, so as to optimize the management of the control driving components of the monitoring equipment according to the information feedback situation, and image acquisition deviation feedback analysis is performed by information feedback and information fusion to understand the risk of the monitoring equipment achieving precise image capture in the process of photographing and monitoring the power line, and combined with the external interference influence, the analysis is performed to improve the comprehensiveness of the analysis data of the monitoring equipment, which is helpful to reasonably collect, monitor and control the monitoring equipment to improve the shooting accuracy and acquisition quality during power line monitoring, and the dynamic trend prediction management feedback analysis is performed on the captured image data in an in-depth manner to analyze from the perspective of dynamic trends to improve the image capture quality of the monitoring equipment.

[0073] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0074] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A comprehensive monitoring device for power line images, characterized in that: It includes a power line supervision platform, a monitoring information unit, a time period operation evaluation unit, a monitoring obstacle analysis unit, a control response analysis unit, an image risk analysis unit, a dynamic evaluation unit, and an early warning response unit; The monitoring information unit is used to collect actual operating parameters and monitoring obstacle data of the monitoring equipment, the monitoring obstacle data including the environmental parameter change curve and the historical maintenance list, and send the actual operating parameters and monitoring obstacle data to the time period operation evaluation unit and the monitoring obstacle analysis unit respectively; After receiving the actual operation parameters, the period operation evaluation unit immediately performs period operation safety supervision analysis on the actual operation parameters, and performs discriminant analysis on the monitoring failure ratio to obtain a stable signal and a risk signal; After receiving the monitoring obstacle data, the monitoring obstacle analysis unit immediately performs external interference control impact feedback analysis on the monitoring obstacle data, and sends the obtained obstacle collection evaluation coefficient YP to the image risk analysis unit; The control response analysis unit is used to collect control operation data of the monitoring device, the control operation data including the continuous over-temperature loss value and the control optimization coefficient, and perform control response restriction evaluation analysis on the control operation data to obtain qualified signals and unqualified signals; After receiving the obstruction acquisition assessment coefficient YP, the image risk analysis unit immediately performs image acquisition deviation feedback analysis, and performs discriminant analysis on the accuracy deviation assessment coefficient RJ to obtain a compliance signal and an optimization signal; The dynamic evaluation unit is used to collect the captured image data of the monitoring equipment, the captured image data including the captured image failure rate, and perform dynamic trend prediction management feedback analysis on the captured image data, and send the obtained early warning control signal to the early warning response unit; The period operation safety supervision analysis process of the period operation evaluation unit is as follows: The working time period of the monitoring device is obtained and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, the actual operating parameters of the monitoring device in each sub-time period are obtained, the actual operating parameters include the actual operating voltage and the actual energy consumption value, and then the change curve corresponding to the actual operating parameters is obtained and set as the actual parameter curve, the maximum peak value and the minimum trough value in each actual parameter curve are obtained, and the interval composed of the maximum peak value and the minimum trough value is set as the actual parameter interval; The actual parameter interval is compared and analyzed with the preset actual parameter interval stored in the internal data entry. If the actual parameter interval is satisfied that all of them are within the preset actual parameter interval, a normal signal is generated, and the sub-time period corresponding to the normal signal is set as the normal time period. If the actual parameter interval is not satisfied that all of them are within the preset actual parameter interval, an abnormal signal is generated, and the sub-time period corresponding to the abnormal signal is set as the abnormal time period, and then a fan-shaped diagram of the normal time period - abnormal time period is obtained, and then the ratio of the area of ​​the fan-shaped area corresponding to the abnormal time period to the area of ​​the fan-shaped area corresponding to the normal time period is obtained, and it is set as the monitoring failure ratio, and the monitoring failure ratio is compared and analyzed with the preset monitoring failure ratio threshold stored in the internal data entry: If the ratio between the monitoring failure ratio and the preset monitoring failure ratio threshold is less than 1, a stable signal is generated; If the ratio between the monitoring failure ratio and the preset monitoring failure ratio threshold is greater than or equal to 1, a risk signal is generated; The external interference control impact feedback analysis process of the monitoring and hindering analysis unit is as follows: S1: Obtain the environmental parameter change curve of the environment in which the monitoring device is located within the time threshold, the environmental parameters include temperature value, humidity value, dust concentration value, obtain the time corresponding to the line segment of the environmental parameter change curve above the corresponding preset threshold curve, and set it as the attachment time, obtain the overlapping part of the attachment time corresponding to the environmental parameter change curve, and set it as the adhesion resistance coefficient FZ; S2: Obtain the historical maintenance list of the monitoring equipment within the time threshold, and obtain the replacement parts information of the monitoring equipment from the historical maintenance list. The replacement parts information includes the total number of replacement parts and the part status. The part status includes the first-time unpacked parts and the non-first-time unpacked parts. At the same time, obtain the proportion of the number of parts whose working temperature exceeds the preset working temperature for a time period longer than the preset threshold in the total number of replacement parts, and set it as the exclusion risk value PC. At the same time, obtain the proportion of the number of delayed maintenance from the historical maintenance list, and set it as the operation and maintenance legacy coefficient YW; S3: According to the formula Obtain the obstruction collection assessment coefficient YP, where a1, a2 and a3 are the proportional factor coefficients of the adhesion obstruction coefficient FZ, the exclusion risk value PC and the operation and maintenance legacy coefficient YW, respectively, and a4 is the preset error factor coefficient. A1, a2, a3 and a4 are all greater than zero; The control response limited evaluation analysis process of the control response analysis unit is as follows: The total number of historical operations of the control drive component in the monitoring device within the time threshold is obtained, the control period of each control drive component is obtained, and then the proportion of the portion of the maximum operating temperature value of the control drive component exceeding the initial operating temperature value within the control period that is greater than the duration corresponding to the preset threshold is obtained, and it is set as the temperature runaway operation value, and the ratio between the number of times the temperature runaway operation value is greater than the internal preset temperature runaway operation value threshold and the total number of historical operations is set as the continuous over-temperature loss value; The ratio between the number of times the monitoring device has a step error value during the control period and the total number of historical operations is obtained, and set as the control optimization coefficient. The step error value indicates that the actual control amount corresponding to the control step deviates from the set control amount. The control steps include telescoping, rotation, and zooming. The continuous over-temperature loss value and the control optimization coefficient are compared and analyzed with the preset continuous over-temperature loss value threshold and the preset control optimization coefficient threshold that are recorded and stored internally: If the continuous over-temperature loss value is less than the preset continuous over-temperature loss value threshold, and the control optimization coefficient is less than the preset control optimization coefficient threshold, a qualified signal is generated; If the continuous over-temperature loss value is greater than or equal to the preset continuous over-temperature loss value threshold, or the control optimization coefficient is greater than or equal to the preset control optimization coefficient threshold, an unqualified signal is generated, and the qualified signal and the unqualified signal are sent to the early warning response unit; The image acquisition deviation feedback analysis process of the image risk analysis unit is as follows: Obtain the continuous over-temperature loss value and control optimization coefficient of the control drive component of the monitoring equipment within the time threshold, and obtain the hindering collection evaluation coefficient YP at the same time, and number the continuous over-temperature loss value and the control optimization coefficient as CG and TY respectively; According to the formula The accuracy deviation evaluation coefficient RJ is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the continuous over-temperature loss value, the control optimization coefficient and the hindered acquisition evaluation coefficient, and f4 is the preset fault tolerance factor coefficient. f1, f2, f3 and f4 are all greater than zero, and the accuracy deviation evaluation coefficient RJ is compared and analyzed with the preset accuracy deviation evaluation coefficient threshold value stored in the internal input: If the ratio between the accuracy deviation evaluation coefficient RJ and the preset accuracy deviation evaluation coefficient threshold is less than 1, a compliance signal is generated; If the ratio between the accuracy deviation evaluation coefficient RJ and the preset accuracy deviation evaluation coefficient threshold is greater than or equal to 1, an optimization signal is generated; The dynamic trend prediction management feedback analysis process of the dynamic evaluation unit is as follows: Obtain the image failure rate and the precision deviation assessment coefficient corresponding to the compliance signal of the monitoring equipment within the next j time thresholds, where j is a natural number greater than 3. The image failure rate represents the proportion of the number of failed images in the total number of images taken by the monitoring equipment within the time threshold. The failed image represents a captured image whose clarity is lower than the preset clarity. A rectangular coordinate system is established with the number of time thresholds as the X-axis and the image failure rate and the precision deviation assessment coefficient as the Y-axis. The image failure rate curve and the precision deviation assessment coefficient curve are drawn by plotting points, and then the change trend values ​​of the image failure rate curve and the precision deviation assessment coefficient curve are obtained, and they are set as the image clarity optimization value and the precision control value, respectively. Compare and analyze the image clarity optimization value and precision control value with the preset image clarity optimization value threshold and preset precision control value threshold that are stored internally: If the image clarity optimization value is less than the preset image clarity optimization value threshold, and the accuracy control value is less than the preset accuracy control value threshold, no signal is generated; If the image clarity optimization value is greater than or equal to the preset image clarity optimization value threshold, or the accuracy control value is greater than or equal to the preset accuracy control value threshold, an early warning control signal is generated.

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