CN118294478B - High-altitude crimping operation quality monitoring system for power grid infrastructure engineering - Google Patents
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Abstract
The invention discloses a high-altitude crimping operation quality monitoring system for power grid infrastructure engineering, and relates to the technical field of high-altitude crimping operation quality monitoring; according to the invention, through integrating the environment assessment module, the unmanned aerial vehicle acquisition module, the detection analysis module and the quality matching module, the automatic and intelligent monitoring of the high-altitude crimping operation quality is realized, meanwhile, the working parameters of the X-ray detection device can be automatically adjusted according to the environment parameters, the efficiency and the quality of X-ray nondestructive detection are improved, the problem that the existing technology mainly depends on manual detection is solved, the efficiency is low, and the subjectivity is strong and the accuracy is insufficient is solved.
Description
Technical Field
The invention relates to the technical field of high-altitude crimping operation quality monitoring, in particular to a high-altitude crimping operation quality monitoring system for power grid infrastructure engineering.
Background
In a power transmission system, high-altitude crimping is an important step for ensuring stable power transmission, and monitoring of high-altitude crimping operation quality is required.
The existing high-altitude crimping operation quality monitoring system has the following problems:
The traditional high-altitude compression joint operation quality monitoring mainly depends on manual inspection, which is not only low in efficiency, but also has the problems of strong subjectivity and insufficient accuracy, and in addition, the manual inspection can also face safety risks due to the specificity of the high-altitude operation;
Further, the existing high-altitude crimping operation quality monitoring method is poor in environmental adaptability, and working parameters of the acquisition equipment cannot be correspondingly adjusted according to influence parameters of the surrounding environment where the crimping point is located, so that the accuracy of subsequent quality assessment is low.
Therefore, a high-altitude crimping operation quality monitoring system for power grid infrastructure engineering is provided.
Disclosure of Invention
In view of the above, the present invention provides a high-altitude crimping operation quality monitoring system for power grid infrastructure engineering to solve the above-mentioned problems set forth in the background art.
The aim of the invention can be achieved by the following technical scheme: a high-altitude crimping operation quality monitoring system for a power grid infrastructure project, comprising: the environment evaluation module is used for monitoring influence parameters of the environment around each pressure joint, wherein the influence parameters comprise temperature, humidity and light intensity, and based on collected environment data, the optimal working parameters of the X-ray detection device are obtained through analysis and are respectively sent to the unmanned aerial vehicle acquisition module; the operating parameters include emission intensity, exposure time, and contrast adjustment; based on the collected environmental data, the optimal working parameters of the X-ray detection device are obtained through analysis, specifically:
Setting normal values of temperature, humidity and light intensity in the environmental data; setting by technicians according to experimental data; based on the set normal values, collecting the temperature, humidity and light intensity values of the environment around each current pressure joint, comparing the collected temperature, humidity and light intensity values with the set normal values, and if the temperature, humidity and light intensity values are larger than the set normal values, calculating the emission intensity adjustment value, exposure time adjustment value and contrast adjustment value of the X-ray detection device by a formula, namely by Calculated, wherein、AndRespectively representing an emission intensity adjustment value, an exposure time adjustment value and a contrast adjustment value,、AndDefault values for emission intensity, exposure time, and contrast adjustment under normal environmental data, respectively; And Respectively representing the current acquisition temperature and the set normal temperature value,Is a preset temperature influence factor; And Respectively representing the current collected humidity and the set normal humidity value,Is a preset humidity influence factor; And Respectively representing the current light intensity and the set normal light intensity;
The efficiency and the quality of X-ray nondestructive testing are improved, and powerful technical support is provided for high-altitude crimping operation of power grid infrastructure engineering.
The unmanned aerial vehicle acquisition module is used for receiving the working parameters of the optimal X-ray detection device, adjusting the working parameters, acquiring the image data of the strain clamps of all the crimping points after the adjustment is finished, and transmitting the image data to the detection analysis module; the unmanned aerial vehicle carries X-ray detection equipment to collect, an X-ray source is started, X-rays are emitted to penetrate through a strain clamp, the penetrating rays are captured by a detector on the other side, the rays captured by the detector are converted into electric signals, and a digital image is formed after analog-to-digital conversion;
The detection analysis module is used for receiving the image data of the strain clamps of the crimping points, analyzing the image quality to obtain comprehensive quality scores, and setting pass scores of the comprehensive quality scores; setting by technicians according to quality standards; if the comprehensive quality score is smaller than the pass score, triggering an optimization signaling to screen technicians in a working state at the current time point, sending the group of image data to a mobile terminal of the technicians, receiving the group of image data by the technicians to evaluate, optimizing and adjusting working parameters of an X-ray detection device in an environment evaluation module, acquiring the strain clamp images which do not pass through a standard crimping point again after optimizing, and recording the optimizing and adjusting process;
If the evaluation result is larger than the pass score, the pass score is regarded as a pass standard, the image data passing through the pass standard is analyzed to obtain a defect evaluation index SWi, and the defect evaluation index SWi of the strain clamp of each crimping point is sent to a quality matching module; where i denotes the number of the crimp points, i=1, 2 or k, k being the total number of crimp points;
the specific steps for obtaining the composite quality score KWi are:
Preprocessing image data of each compression joint strain clamp; pretreatment includes but is not limited to graying, denoising, etc.;
calculating the signal-to-noise ratio, peak signal-to-noise ratio and structural similarity index of each compression joint strain clamp image, and respectively marking as Xzi, xci and Xbi; setting reference values of signal-to-noise ratio, peak signal-to-noise ratio and structural similarity index based on the current power grid infrastructure engineering application scene; the higher the importance of the application scene is, the higher the corresponding set reference value is;
substituting the signal-to-noise ratio Xzi, the peak signal-to-noise ratio Xci and the structural similarity index Xbi of each crimping point strain clamp image into a formula Performing weighted calculation to obtain an effect evaluation index XPi of the strain clamp image of each crimping point; wherein the method comprises the steps of、AndReference values respectively representing the signal-to-noise ratio, the peak signal-to-noise ratio and the structural similarity index;、 And The impact weight factors of the signal-to-noise ratio Xzi, the peak signal-to-noise ratio Xci and the structural similarity index Xbi respectively;
Presetting a value range of each group of indexes of the effect evaluation index XPi, and setting a group of effect quality scores corresponding to each group of index value ranges; setting by technicians, and adjusting according to actual application conditions; matching the effect evaluation index XPi of the strain clamp images of all the crimping points with the preset value ranges of all the groups of indexes to obtain the effect quality scores of the strain clamp images of all the crimping points; taking the average value of the quality scores of each group of effects as the comprehensive quality score of the acquired image at the current time point;
In summary, by integrating the signal-to-noise ratio, the peak signal-to-noise ratio and the structural similarity index, a comprehensive quality scoring system is provided, the image quality is more accurately evaluated, the accuracy and the reliability of a detection result are ensured, and a powerful technical support is provided for the quality control of the power grid infrastructure engineering.
The specific steps for obtaining the defect evaluation index SWi are as follows:
Extracting strain clamp image data of a corresponding pressing point, dividing the image data into areas based on the set dividing areas, and setting different weight coefficients for each dividing subarea;
extracting crack length and crack width of each crack in each divided sub-region image from each divided sub-region image of the strain clamp of the corresponding pressing point;
Summing the crack lengths of the cracks in the images of the corresponding dividing subareas to obtain the total crack length of the corresponding dividing subareas, screening out the maximum crack width from the crack widths of the cracks in the images of the corresponding dividing subareas, taking the maximum crack width as the total crack width of the corresponding dividing subareas, and simultaneously counting the number of the cracks in the images of the corresponding dividing subareas;
extracting the total length of the crack, the total width of the crack and the number of the crack positions of the corresponding division subarea, converting the crack influence values, respectively setting all groups of value ranges of the total length of the crack, the total width of the crack and the number of the crack positions, respectively corresponding to one crack influence value, respectively matching the total length of the crack, the total width of the crack and the number of the crack positions of the corresponding division subarea with the corresponding value ranges to obtain the crack influence values of the total length of the crack, the total width of the crack and the number of the crack positions of the corresponding division subarea, and accumulating the converted three groups of crack influence values to be used as crack estimation values of the corresponding division subarea;
extracting hole features from image data of the corresponding division subareas, dividing the hole features from the image data of the corresponding division subareas, counting the pixel number of each hole feature, accumulating, and converting the accumulated pixel number into an actual size based on the resolution of the image to obtain a hole influence value of the corresponding division subareas; setting each group of value ranges of the hole influence values, setting a hole estimated value corresponding to each group of value ranges, and matching the hole influence values of the corresponding division subareas with each group of value ranges to obtain the hole estimated values of the corresponding division subareas;
Accumulating crack estimation values and hole estimation values of the corresponding divided subareas, and multiplying the crack estimation values and the hole estimation values by weight coefficients of the corresponding divided subareas to obtain area defect values of the corresponding divided subareas;
Extracting a region defect value of a corresponding divided sub-region and marking as SQe, wherein e represents the number of the divided sub-region, e=1, 2 or p, and p is the total number of the divided sub-regions;
Substituting the region defect value SQe of each divided sub-region into the formula Carrying out weighted calculation to obtain a defect evaluation index SWi of the strain clamp of the corresponding pressing point; wherein the method comprises the steps ofRepresents the maximum allowable value of the region defect of each divided sub-region,An influence weight factor representing each divided sub-region;
In summary, by setting different dividing regions and weight coefficients, the system can perform key monitoring on the positions with different importance, so as to ensure that the defects of the key regions are sufficiently focused;
The defect evaluation index SWi of the strain clamp of the pressing point is obtained through weighted calculation, a scientific basis is provided for quality monitoring, and potential quality problems can be found and treated in time;
The quality matching module is used for receiving the defect evaluation index SWi of each compression joint strain clamp and outputting the quality evaluation grade of each compression joint strain clamp at the current time point; the method comprises the following steps:
Presetting three groups of index value ranges of a defect evaluation index SWi, setting a quality evaluation grade corresponding to each group of index value ranges, and respectively setting the quality evaluation grade, a general quality grade and a good quality grade as early warning quality grades; setting by a technician; matching the defect evaluation index SWi of each compression joint strain clamp at the current time point with the value range of each group of indexes to obtain the quality evaluation grade of each compression joint strain clamp;
Marking the crimping point at the early warning quality level and sending the crimping point to a mobile terminal of a manager;
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, through integrating the environment assessment module, the unmanned aerial vehicle acquisition module, the detection analysis module and the quality matching module, the automatic and intelligent monitoring of the high-altitude crimping operation quality is realized, meanwhile, the working parameters of the X-ray detection device can be automatically adjusted according to the environment parameters, the efficiency and the quality of X-ray nondestructive detection are improved, the problem that the existing technology mainly depends on manual detection is solved, the efficiency is low, and the problems of strong subjectivity and insufficient accuracy exist;
The quality matching module can output the quality evaluation grade of the strain clamp of each crimping point at the current time point according to the defect evaluation index, thereby realizing the automation and the intellectualization of quality control.
Drawings
Further details, features and advantages of the application are disclosed in the following description of exemplary embodiments with reference to the following drawings, in which:
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings in order to enable those skilled in the art to practice the application. The present application may be embodied in many different forms and objects and should not be limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art. The examples do not limit the application.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and/or the present specification and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1, a high-altitude crimping operation quality monitoring system for a power grid infrastructure project includes an environment evaluation module, an unmanned aerial vehicle acquisition module, a detection analysis module and a quality matching module;
The environment evaluation module is used for monitoring influence parameters of the environment around each pressure joint, wherein the influence parameters comprise temperature, humidity and light intensity, and based on collected environment data, the optimal working parameters of the X-ray detection device are obtained through analysis and are respectively sent to the unmanned aerial vehicle acquisition module; the operating parameters include emission intensity, exposure time, and contrast adjustment;
based on the collected environmental data, the optimal working parameters of the X-ray detection device are obtained through analysis, specifically:
Setting normal values of temperature, humidity and light intensity in the environmental data; setting by technicians according to experimental data; based on the set normal values, collecting the temperature, humidity and light intensity values of the environment around each current pressure joint, comparing the collected temperature, humidity and light intensity values with the set normal values, and if the temperature, humidity and light intensity values are larger than the set normal values, calculating the emission intensity adjustment value, exposure time adjustment value and contrast adjustment value of the X-ray detection device by a formula, namely by Calculated, wherein、AndRespectively representing an emission intensity adjustment value, an exposure time adjustment value and a contrast adjustment value,、AndDefault values for emission intensity, exposure time, and contrast adjustment under normal environmental data, respectively; And Respectively representing the current acquisition temperature and the set normal temperature value,Is a preset temperature influence factor; And Respectively representing the current collected humidity and the set normal humidity value,Is a preset humidity influence factor; And Respectively representing the current light intensity and the set normal light intensity;
The method improves the efficiency and quality of X-ray nondestructive testing, and provides powerful technical support for high-altitude compression joint operation of power grid infrastructure engineering.
The unmanned aerial vehicle acquisition module is used for receiving the working parameters of the optimal X-ray detection device, adjusting the working parameters, acquiring the image data of the strain clamps of all the crimping points after the adjustment is finished, and transmitting the image data to the detection analysis module; the unmanned aerial vehicle carries X-ray detection equipment to collect, an X-ray source is started, X-rays are emitted to penetrate through a strain clamp, the penetrating rays are captured by a detector on the other side, the rays captured by the detector are converted into electric signals, and a digital image is formed after analog-to-digital conversion;
The detection analysis module is used for receiving the image data of the strain clamps of the crimping points, analyzing the image quality to obtain comprehensive quality scores, and setting pass scores of the comprehensive quality scores; setting by technicians according to quality standards; if the comprehensive quality score is smaller than the pass score, triggering an optimization signaling to screen technicians in a working state at the current time point, sending the group of image data to a mobile terminal of the technicians, receiving the group of image data by the technicians to evaluate, optimizing and adjusting working parameters of an X-ray detection device in an environment evaluation module, acquiring the strain clamp images which do not pass through a standard crimping point again after optimizing, and recording the optimizing and adjusting process;
If the evaluation result is larger than the pass score, the pass score is regarded as a pass standard, the image data passing through the pass standard is analyzed to obtain a defect evaluation index SWi, and the defect evaluation index SWi of the strain clamp of each crimping point is sent to a quality matching module; where i denotes the number of the crimp points, i=1, 2 or k, k being the total number of crimp points;
the specific steps for obtaining the composite quality score KWi are:
Preprocessing image data of each compression joint strain clamp; pretreatment includes but is not limited to graying, denoising, etc.;
calculating the signal-to-noise ratio, peak signal-to-noise ratio and structural similarity index of each compression joint strain clamp image, and respectively marking as Xzi, xci and Xbi; setting reference values of signal-to-noise ratio, peak signal-to-noise ratio and structural similarity index based on the current power grid infrastructure engineering application scene; the higher the importance of the application scene is, the higher the corresponding set reference value is;
substituting the signal-to-noise ratio Xzi, the peak signal-to-noise ratio Xci and the structural similarity index Xbi of each crimping point strain clamp image into a formula Performing weighted calculation to obtain an effect evaluation index XPi of the strain clamp image of each crimping point; wherein the method comprises the steps of、AndReference values respectively representing the signal-to-noise ratio, the peak signal-to-noise ratio and the structural similarity index;、 And The impact weight factors of the signal-to-noise ratio Xzi, the peak signal-to-noise ratio Xci and the structural similarity index Xbi respectively; presetting a value range of each group of indexes of the effect evaluation index XPi, and setting a group of effect quality scores corresponding to each group of index value ranges; setting by technicians, and adjusting according to actual application conditions; matching the effect evaluation index XPi of the strain clamp images of all the crimping points with the preset value ranges of all the groups of indexes to obtain the effect quality scores of the strain clamp images of all the crimping points; taking the average value of the quality scores of each group of effects as the comprehensive quality score of the acquired image at the current time point;
In summary, by integrating the signal-to-noise ratio, the peak signal-to-noise ratio and the structural similarity index, a comprehensive quality scoring system is provided, the image quality is more accurately evaluated, the accuracy and the reliability of the detection result are ensured, and a powerful technical support is provided for the quality control of the power grid infrastructure engineering.
The specific steps for obtaining the defect evaluation index SWi are as follows:
Extracting strain clamp image data of a corresponding pressing point, dividing the image data into areas based on the set dividing areas, and setting different weight coefficients for each dividing subarea;
extracting crack length and crack width of each crack in each divided sub-region image from each divided sub-region image of the strain clamp of the corresponding pressing point;
Summing the crack lengths of the cracks in the images of the corresponding dividing subareas to obtain the total crack length of the corresponding dividing subareas, screening out the maximum crack width from the crack widths of the cracks in the images of the corresponding dividing subareas, taking the maximum crack width as the total crack width of the corresponding dividing subareas, and simultaneously counting the number of the cracks in the images of the corresponding dividing subareas;
extracting the total length of the crack, the total width of the crack and the number of the crack positions of the corresponding division subarea, converting the crack influence values, respectively setting all groups of value ranges of the total length of the crack, the total width of the crack and the number of the crack positions, respectively corresponding to one crack influence value, respectively matching the total length of the crack, the total width of the crack and the number of the crack positions of the corresponding division subarea with the corresponding value ranges to obtain the crack influence values of the total length of the crack, the total width of the crack and the number of the crack positions of the corresponding division subarea, and accumulating the converted three groups of crack influence values to be used as crack estimation values of the corresponding division subarea;
extracting hole features from image data of the corresponding division subareas, dividing the hole features from the image data of the corresponding division subareas, counting the pixel number of each hole feature, accumulating, and converting the accumulated pixel number into an actual size based on the resolution of the image to obtain a hole influence value of the corresponding division subareas; setting each group of value ranges of the hole influence values, setting a hole estimated value corresponding to each group of value ranges, and matching the hole influence values of the corresponding division subareas with each group of value ranges to obtain the hole estimated values of the corresponding division subareas;
Accumulating crack estimation values and hole estimation values of the corresponding divided subareas, and multiplying the crack estimation values and the hole estimation values by weight coefficients of the corresponding divided subareas to obtain area defect values of the corresponding divided subareas;
Extracting a region defect value of a corresponding divided sub-region and marking as SQe, wherein e represents the number of the divided sub-region, e=1, 2 or p, and p is the total number of the divided sub-regions;
Substituting the region defect value SQe of each divided sub-region into the formula Carrying out weighted calculation to obtain a defect evaluation index SWi of the strain clamp of the corresponding pressing point; wherein the method comprises the steps ofRepresents the maximum allowable value of the region defect of each divided sub-region,An influence weight factor representing each divided sub-region;
In summary, by setting different dividing regions and weight coefficients, the system can perform key monitoring on the positions with different importance, so as to ensure that the defects of the key regions are sufficiently focused;
The defect evaluation index SWi of the strain clamp of the pressing point is obtained through weighted calculation, a scientific basis is provided for quality monitoring, and potential quality problems can be found and treated in time;
The quality matching module is used for receiving the defect evaluation index SWi of each compression joint strain clamp and outputting the quality evaluation grade of each compression joint strain clamp at the current time point; the method comprises the following steps:
Presetting three groups of index value ranges of a defect evaluation index SWi, setting a quality evaluation grade corresponding to each group of index value ranges, and respectively setting the quality evaluation grade, a general quality grade and a good quality grade as early warning quality grades; setting by a technician; matching the defect evaluation index SWi of each compression joint strain clamp at the current time point with the value range of each group of indexes to obtain the quality evaluation grade of each compression joint strain clamp;
Marking the crimping point at the early warning quality level and sending the crimping point to a mobile terminal of a manager;
the formulas are all formulas obtained by collecting a large amount of data for software simulation, and a formula close to a true value is selected, wherein the specific value of an influence weight factor in the formula is set by a person skilled in the art according to the actual situation;
The invention is applied in the process:
Firstly, an environment assessment module monitors the temperature, the humidity and the light intensity of the environment around the crimping point, and calculates the optimal working parameters of the X-ray detection device based on the data; then, the unmanned aerial vehicle acquisition module receives the parameters, adjusts the X-ray equipment and acquires image data of the strain clamp, the image data are then sent to the detection analysis module, the module preprocesses the image, calculates signal to noise ratio, peak signal to noise ratio and structural similarity index, further obtains an effect evaluation index and comprehensive quality score, triggers an optimization signaling if the score is lower than a set passing standard, and sends the data to technicians for further evaluation and adjustment; if the score is higher than the pass criterion, the defect evaluation flow is entered.
In the defect evaluation stage, the system extracts strain clamp image data, performs region division, and sets a weight coefficient for each sub-region. The system extracts crack and hole features, calculates crack estimates and hole estimates, and then obtains a region defect value SQe. These values are weighted to form the defect evaluation index SWi of the crimp-point strain clamp.
And finally, the quality matching module receives SWi and matches the SWi with a preset quality evaluation grade to determine the quality grade of each crimping point strain clamp. If the evaluation level of a certain pinch point is early warning, the system will mark the pinch point and notify the manager.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. A high-altitude crimping operation quality monitoring system for a power grid infrastructure project, comprising:
An environment assessment module: monitoring influence parameters of the surrounding environment of each pressure contact, wherein the influence parameters comprise temperature, humidity and light intensity, analyzing and obtaining optimal working parameters of an X-ray detection device based on collected environment data, and respectively sending the working parameters to an unmanned aerial vehicle acquisition module; the operating parameters include emission intensity, exposure time, and contrast adjustment;
unmanned aerial vehicle acquisition module: receiving the optimal working parameters of the X-ray detection device, adjusting, collecting image data of strain clamps of all crimping points after adjustment is completed, and sending the image data to a detection analysis module;
And a detection and analysis module: receiving image data of the strain clamps of all the crimping points, analyzing the image quality to obtain comprehensive quality scores, and setting pass scores of the comprehensive quality scores; if the comprehensive quality score is smaller than the pass score, triggering an optimization signaling to screen technicians in a working state at the current time point, sending the group of image data to a mobile terminal of the technicians, receiving the group of image data by the technicians to evaluate, optimizing and adjusting working parameters of an X-ray detection device in an environment evaluation module, acquiring the strain clamp images which do not pass through a standard crimping point again after optimizing, and recording the optimizing and adjusting process;
If the evaluation result is larger than the pass score, the pass score is regarded as a pass standard, the image data passing through the pass standard is analyzed to obtain a defect evaluation index SWi, and the defect evaluation index SWi of the strain clamp of each crimping point is sent to a quality matching module; where i denotes the number of the crimp points, i=1, 2 or k, k being the total number of crimp points;
And a quality matching module: and receiving the defect evaluation index SWi of each compression joint strain clamp, and outputting the quality evaluation grade of each compression joint strain clamp at the current time point.
2. The high-altitude crimping operation quality monitoring system for power grid infrastructure projects according to claim 1, wherein the analysis results in optimal working parameters of the X-ray detection device based on the collected environmental data, specifically:
setting normal values of temperature, humidity and light intensity in the environmental data; based on the set normal values, collecting the temperature, humidity and light intensity values of the environment around each current pressure joint, comparing the collected temperature, humidity and light intensity values with the set normal values, and if the temperature, humidity and light intensity values are larger than the set normal values, calculating the emission intensity adjustment value, exposure time adjustment value and contrast adjustment value of the X-ray detection device by a formula, namely by Calculated, wherein、AndRespectively representing an emission intensity adjustment value, an exposure time adjustment value and a contrast adjustment value,、AndDefault values for emission intensity, exposure time, and contrast adjustment under normal environmental data, respectively; And Respectively representing the current acquisition temperature and the set normal temperature value,Is a preset humidity influence factor; And Respectively representing the current light intensity and the set normal light intensity.
3. The high-altitude crimping operation quality monitoring system for power grid infrastructure projects according to claim 2, wherein the specific steps of obtaining the comprehensive quality score KWi are as follows:
preprocessing image data of each compression joint strain clamp;
Calculating the signal-to-noise ratio, peak signal-to-noise ratio and structural similarity index of each compression joint strain clamp image, and respectively marking as Xzi, xci and Xbi; setting reference values of signal-to-noise ratio, peak signal-to-noise ratio and structural similarity index based on the current power grid infrastructure engineering application scene;
substituting the signal-to-noise ratio Xzi, the peak signal-to-noise ratio Xci and the structural similarity index Xbi of each crimping point strain clamp image into a formula Performing weighted calculation to obtain an effect evaluation index XPi of the strain clamp image of each crimping point; wherein the method comprises the steps of、AndReference values respectively representing the signal-to-noise ratio, the peak signal-to-noise ratio and the structural similarity index;、 And The impact weight factors of the signal-to-noise ratio Xzi, the peak signal-to-noise ratio Xci and the structural similarity index Xbi respectively;
Presetting a value range of each group of indexes of the effect evaluation index XPi, and setting a group of effect quality scores corresponding to each group of index value ranges; matching the effect evaluation index XPi of the strain clamp images of all the crimping points with the preset value ranges of all the groups of indexes to obtain the effect quality scores of the strain clamp images of all the crimping points; and taking the average value of the quality scores of the effects of each group as the comprehensive quality score of the acquired image at the current time point.
4. A high-altitude crimping operation quality monitoring system for electric network construction projects according to claim 3, characterized in that the defect evaluation index SWi is obtained by analyzing the standard image data, specifically:
Extracting strain clamp image data of a corresponding pressing point, dividing the image data into areas based on the set dividing areas, and setting different weight coefficients for each dividing subarea;
extracting crack length and crack width of each crack in each divided sub-region image from each divided sub-region image of the strain clamp of the corresponding pressing point;
Summing the crack lengths of the cracks in the images of the corresponding dividing subareas to obtain the total crack length of the corresponding dividing subareas, screening out the maximum crack width from the crack widths of the cracks in the images of the corresponding dividing subareas, taking the maximum crack width as the total crack width of the corresponding dividing subareas, and simultaneously counting the number of the cracks in the images of the corresponding dividing subareas;
Extracting the total length of the crack, the total width of the crack and the number of the crack positions corresponding to the division subareas, converting the crack influence values, respectively setting all groups of value ranges of the total length of the crack, the total width of the crack and the number of the crack positions, respectively corresponding to one crack influence value, respectively matching the total length of the crack, the total width of the crack and the number of the crack positions corresponding to the division subareas with the corresponding value ranges, obtaining the crack influence values corresponding to the total length of the crack, the total width of the crack and the number of the crack positions of the division subareas, accumulating the converted three groups of crack influence values, and taking the accumulated three groups of crack influence values as crack estimation values corresponding to the division subareas.
5. The high-altitude crimping operation quality monitoring system for electric network construction works according to claim 4, wherein the defect evaluation index SWi is obtained by analyzing the standard image data, further comprising:
extracting hole features from image data of the corresponding division subareas, dividing the hole features from the image data of the corresponding division subareas, counting the pixel number of each hole feature, accumulating, and converting the accumulated pixel number into an actual size based on the resolution of the image to obtain a hole influence value of the corresponding division subareas; setting each group of value ranges of the hole influence values, setting a hole estimated value corresponding to each group of value ranges, and matching the hole influence values of the corresponding division subareas with each group of value ranges to obtain the hole estimated values of the corresponding division subareas;
Accumulating crack estimation values and hole estimation values of the corresponding divided subareas, and multiplying the crack estimation values and the hole estimation values by weight coefficients of the corresponding divided subareas to obtain area defect values of the corresponding divided subareas;
Extracting a region defect value of a corresponding divided sub-region and marking as SQe, wherein e represents the number of the divided sub-region, e=1, 2 or p, and p is the total number of the divided sub-regions;
Substituting the region defect value SQe of each divided sub-region into the formula Carrying out weighted calculation to obtain a defect evaluation index SWi of the strain clamp of the corresponding pressing point; wherein the method comprises the steps ofThe maximum allowable value of the region defect of each divided sub-region is represented, and the influence weight factor of each divided sub-region is represented.
6. The high-altitude crimping operation quality monitoring system for the power grid infrastructure project according to claim 5, wherein the quality evaluation grade of each crimping point strain clamp at the current time point is output, specifically: presetting three groups of index value ranges of a defect evaluation index SWi, setting a quality evaluation grade corresponding to each group of index value ranges, and respectively setting the quality evaluation grade, a general quality grade and a good quality grade as early warning quality grades; and matching the defect evaluation index SWi of each compression joint strain clamp at the current time point with each group of index value ranges to obtain the quality evaluation grade of each compression joint strain clamp.
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