Comprehensive benefit evaluation method for mechanical construction of power transmission line

Abstract

The invention discloses a comprehensive benefit evaluation method for power transmission line mechanical construction, belongs to the technical field of overhead power transmission line technology and mechanical construction, and establishes a two-level three-layer structure power transmission line mechanical construction process evaluation system according to main processes of power transmission line mechanical construction. An OSM classification network model is established on a cloud platform by using construction site video monitoring and unmanned aerial vehicle monitoring and uploading construction images, the image feature extraction capability is trained through a YEVA algorithm, power transmission line mechanical construction secondary process images are identified and screened out, and the images are uploaded after noise generated by external interference is processed through an RNS filtering algorithm. An SVM confusion matrix is constructed for influence factors of each secondary process, preliminary evaluation is carried out on comprehensive benefits of mechanical construction of the power transmission line through a cloud platform, secondary evaluation is carried out by an expert through an uploaded image, and evaluation and improvement are carried out through weighted summation of an evaluation result and an operation state level ST of mechanical construction of the power transmission line. And the comprehensive benefits of mechanical construction of the power transmission line are maximized.

Description

Technical Field

[0001] The invention belongs to the technical field of overhead power transmission line technology and mechanized construction technology, and in particular relates to a comprehensive benefit evaluation method for mechanized construction of power transmission lines. Background Art

[0002] With the remarkable progress made in power transmission line engineering in my country, the leap from "following" to "leading" has been achieved, and the mechanization level of supporting power transmission line construction has been continuously improved. At the same time, how to evaluate the comprehensive benefits of mechanized construction of transmission lines has become an urgent problem to be solved. The design scheme of mechanized construction of transmission lines should not only consider meeting various functional requirements, but also conform to practical factors. Therefore, a quantitative evaluation method for the comprehensive benefits of mechanized construction of transmission lines is needed to provide a reference for construction technicians.

[0003] The mechanized construction of transmission lines is a systematic project that requires the close integration of survey and design, construction, equipment, management and other disciplines, as well as processes such as foundation drilling, tower assembly and line stringing, so as to complete the task of power grid construction safely, efficiently and with high quality. The design should comprehensively consider the construction equipment to determine the corresponding design principles. The selected design scheme should not only consider various functional requirements, environmental conditions and functions, but also combine factors such as on-site traffic conditions, vegetation, civil compensation, equipment performance and terrain to maximize the advantages of mechanical equipment and promote the application of mechanized construction technology in a systematic and coordinated manner; construction technology and equipment should match and revolve around the design, and a reasonable construction scheme should be selected to meet the design requirements; in order to improve efficiency, each process also needs to be coordinated to achieve high-quality construction.

[0004] The imperfections of the existing mechanized construction of power transmission lines in my country:

[0005] 1) There is no systematic evaluation method for the mechanized construction of transmission lines, and there is no credible evaluation method for the overall benefits of the mechanized construction of transmission lines.

[0006] 2) It fails to take into account the various processes of mechanical construction of transmission lines and the influencing factors of each process, and has no guiding significance for the overall mechanized construction of transmission lines; it does not refer to expert opinions, and only conducts an assessment from the mechanized construction site of the transmission lines, so the credibility of the assessment is not high. Summary of the invention

[0007] The patent of this invention proposes a quantitative evaluation method for the comprehensive benefits of mechanized construction of power transmission lines, which is used to monitor each process of mechanized construction of power transmission lines, filling the gap in the field of mechanized construction evaluation programs for power transmission lines. By collecting images of the mechanized construction site of the power transmission line, calculating the mechanization rate of the mechanized construction process of the power transmission line and uploading them to the set cloud platform for evaluation, the comprehensive benefits of the mechanized construction of the power transmission line are calculated through comprehensive analysis. When the comprehensive benefits are low, the probability of process impact is inverted, and improvements are implemented at the construction site to maximize the comprehensive benefits.

[0008] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0009] A method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines comprises the following steps:

[0010] Step 1: Count the factors affecting the comprehensive benefits of each sub-process based on the mechanized construction site of the transmission line;

[0011] Step 2: Build a cloud platform monitoring system, upload construction site images in real time through video surveillance and drone monitoring, build an OSM classification network model on the cloud platform, train image feature extraction capabilities through the YEVA algorithm, identify and screen secondary process images of mechanized construction of power transmission lines, sort the secondary process construction images from strong to weak according to their influencing factors, process the impact noise generated by external short-term interference factors during image transmission through the RNS filtering algorithm, and upload it to the expert platform for evaluation;

[0012] Step 3: Construct SVM confusion matrix AM for the influencing factors of each secondary process i , calculate the local completion degree and mechanization rate of the first-level process of mechanized construction of transmission lines, upload the data to the cloud platform, and conduct a preliminary evaluation of the comprehensive benefits of mechanized construction of transmission lines. On this basis, experts conduct a secondary evaluation based on the images sorted and processed by the cloud platform to ensure the credibility of the evaluation results, thereby completing the quantitative evaluation of the comprehensive benefits of mechanized construction of transmission lines;

[0013] Step 4: After the final quantitative evaluation, if the final weighted result is less than 6, the overall comprehensive benefit level of the mechanized construction of the transmission line is low. It is necessary to use the time-shift inversion method to reversely deduce the probability of each process affecting the mechanized construction of the transmission line, make on-site construction improvements, and obtain the optimal result.

[0014] Furthermore, in step 1, a two-level three-layer transmission line mechanized construction process evaluation index system is established according to the main processes of transmission line mechanized construction, and 5 main process indicators and 11 secondary process indicators of transmission line mechanized construction are quantitatively analyzed and evaluated, including material transportation (including material loading and unloading, material handling, temporary road leveling and construction, 3 secondary processes), foundation construction (including excavation, concrete mixing, concrete pouring, 3 secondary processes), tower assembly construction (including tower material hoisting, fastener tightening, 2 secondary processes), line construction (including traction rope deployment and ground wire deployment, 2 secondary processes), grounding construction (including grounding hole trenching, 1 secondary process), and the local and global comprehensive benefit influencing factors of each secondary process are statistically analyzed according to the transmission line mechanized construction site.

[0015] Furthermore, in step 2, the construction site images are uploaded in real time through on-site monitoring and drone monitoring, and the OSM classification network model is built on the cloud platform. The image feature extraction capability is trained through the YEVA algorithm to screen out the construction images of each secondary process at the construction site. The YEVA algorithm is:

[0016]

[0017] J t =γ t *J t-1 +(1-γ t )*λ t (2)

[0018]

[0019] Where: γ is the momentum factor, λ t is the gradient, J t is the first-order matrix estimate of the gradient, K t is the second-order matrix estimate, J t , K t is the correction of J and K, v is the velocity;

[0020] The target recognition system identifies and selects the secondary process images of the mechanized construction site of the transmission line, and binds the secondary process construction images and their influencing factors in a strong and weak manner. Finally, the RNS filtering algorithm is used to process the impact noise generated by external short-term interference factors during image transmission and then uploaded to the expert platform for evaluation;

[0021] The RNS filtering algorithm is:

[0022]

[0023] Where: G is the filter coefficient, L is mis the input image of the system monitoring system, n = (w, v) is the domain pixel point of the center pixel m, E is the set of domain pixel points, W m is the normalization factor;

[0024]

[0025] Where: H μE is the three-dimensional space domain kernel, H μE is the image pixel domain kernel, μ E is the distance standard deviation based on the Gaussian function, and μr is the grayscale standard deviation based on the Gaussian function.

[0026] Furthermore, a matrix is ​​constructed for the local and global comprehensive benefit influencing factors of each secondary process, and an SVM confusion matrix AM is constructed. i , as follows:

[0027]

[0028] In the formula: bi j It represents the percentage of the jth influencing engineering factor under the i-th secondary process to the influencing factors of the overall secondary process;

[0029] The factors affecting the secondary process on its corresponding primary process are as follows:

[0030]

[0031] Where: D i =n, D = hn, which represent the influencing engineering factors of the i-th secondary process and the total amount of influencing engineering factors of the training samples, respectively, and β is the influencing factor of the secondary process on its corresponding primary process;

[0032] Thus, the partial completion degree of each primary process of the mechanized construction of the transmission line is derived, as follows:

[0033]

[0034] Where: j = 1, 2, 3…h, ω j The local construction completion degree of mechanized construction of transmission lines;

[0035] After completing the partial completion calculation of the first-level process of mechanized construction of all transmission lines, the mechanization rate of each process is calculated separately, as follows:

[0036]

[0037] Where: P is the mechanized construction rate of a single process of the transmission line, δ c is the weight coefficient of the cth secondary process; T cis the mechanized construction rate of the cth secondary process, and n is the number of secondary processes (n=11).

[0038] Furthermore, the local construction completion degree of the above-mentioned first-level mechanized construction process of the transmission line and the mechanized construction rate of the first-level process are uploaded to the cloud platform for a preliminary evaluation of the comprehensive benefits of the mechanized construction of the transmission line. The platform statistics the preliminary evaluation results and the second-level process construction images and then uploads the data to the expert evaluation platform. The experts comprehensively consider the construction site images of the second-level process of the mechanized construction of the transmission line and their personal practical experience to score the importance of the mechanized construction of the transmission line, and divide the overall mechanized construction of the transmission line into four levels: excellent, good, medium and poor.

[0039] Furthermore, since experts have different understandings of each secondary process, their scoring is subjective. To ensure the scientificity and accuracy of the calculation results, it is necessary to test the consistency of the expert scoring matrix.

[0040] The subjective influence of expert evaluators in each secondary process is used to construct the judgment matrix;

[0041]

[0042] Where: v p is the weight of the pth expert rating factor, v q is the weight of the qth expert rating influencing factor;

[0043] Based on this judgment matrix, considering the different personal practical experiences of experts in the process of mechanized construction of transmission lines, the scores provided need to be verified to test the consistency of the judgment matrix C, as follows:

[0044]

[0045] If the matrix C meets the requirements and the final AR<0.1, it means that the judgment matrix meets the requirements.

[0046] Furthermore, the final operation status evaluation of the mechanized construction of the transmission line is determined by weighted calculation of the probability results of the operation status evaluation of each secondary process. The operation status level of the mechanized construction of the transmission line is S T

[0047]

[0048] Where: α (∑α=1) is the weight coefficient of each transmission line mechanized construction process. R The construction status of the secondary process for each mechanized construction process;

[0049] After obtaining the operating status level S of the mechanized construction of the transmission line TFinally, the weighted sum of the operating status level of the mechanized construction of the transmission line and the expert evaluation score after the consistency check is performed. According to the final result, the overall comprehensive benefit of the mechanized construction of the transmission line is quantitatively evaluated. The larger the value, the higher the comprehensive benefit of the mechanized construction of the transmission line.

[0050] Furthermore, after the final quantitative evaluation, if the final weighted result is less than 6, the overall comprehensive benefit level of mechanized construction of power transmission lines is low. The cloud platform retrieves relevant data, brings the final result into the time-shift inversion model, and infers the probability through the time-shift inversion method;

[0051]

[0052] Where: η is the probability of each process affecting the mechanized construction of the transmission line, Z(c pro ) and Z(c les ) are the maximum operation mode and the minimum operation mode of the time-lapse inversion model respectively;

[0053] The inversion is used to deduce the probability of each process affecting the mechanized construction of the transmission line. Improvements are made to the on-site construction in order from high to low probability. After the improvements, the real-time results are updated to obtain results that meet the requirements.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1) The present invention can start from the influencing factors of multiple processes of mechanized construction of transmission lines, take into account the impact of each process on the comprehensive benefits of mechanized construction of transmission lines, and then comprehensively consider the comprehensive benefits of mechanized construction of transmission lines, and successfully propose a systematic mechanized construction evaluation method for transmission lines;

[0056] 2) The present invention reasonably classifies and analyzes the influencing factors of each process of mechanized construction of power transmission lines. Each process is a necessary item for the construction of power transmission lines, and it is comprehensive and without omissions. It classifies and analyzes the influencing factors of the process in a comprehensive and systematic manner, and has feasible credibility;

[0057] 3) The present invention can obtain an evaluation of the mechanization progress of each process through cloud platform data calculation and expert scoring, and at the same time, the consistency test of the expert scoring is carried out to eliminate the influence of subjective factors and ensure the credibility of the quantitative evaluation. Finally, the weighted sum of the operating status level of the mechanized construction of the transmission line and the expert scoring is quantitatively evaluated, and the result is clear;

[0058] 4) The present invention also deals with the unsatisfactory final quantitative evaluation results. If the final weighted result is small, the overall comprehensive benefit level of mechanized construction of the transmission line is low. The cloud platform retrieves relevant data, and the impact probability is inferred through the time-shift inversion method. Improvements are implemented at the construction site from high to low to obtain results that meet the requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a flow chart of the comprehensive benefit evaluation method of mechanized construction of power transmission lines in the present invention;

[0060] Figure 2 This is a block structure diagram of the comprehensive benefit evaluation method for mechanized construction of power transmission lines in the present invention;

[0061] Figure 3 It is a schematic diagram of the operation of the mechanized construction cloud platform for power transmission lines in the present invention;

[0062] Figure 4 Schematic diagram of the overall framework for calculating the influencing factors of the secondary process in the present invention. DETAILED DESCRIPTION

[0063] In order to better understand the present invention, the content of the present invention is further clearly set forth in conjunction with the embodiments below, but the protection content of the present invention is not limited to the following embodiments. In the following description, a large number of specific details are provided in order to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details.

[0064] In the following description, the terms "upper", "lower", "horizontal", "top", "side", "far", "near", "inside" and "outside" indicating directions or positional relationships are used only for the convenience of describing the embodiments and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific direction, be constructed and operate in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second" and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0065] In the present invention, unless otherwise clearly specified and limited, the terms such as "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0066] Example

[0067] See also Figure 1-4 A method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines is provided, the method comprising the following steps:

[0068] (1) A two-level and three-level transmission line mechanized construction process evaluation index system is established based on the main processes of transmission line mechanized construction. The five main process indicators and 11 secondary process indicators of transmission line mechanized construction are quantitatively analyzed and evaluated, including material transportation (including material loading and unloading, material handling, temporary road leveling and construction, three secondary processes), foundation construction (including excavation, concrete mixing, concrete pouring, three secondary processes), tower assembly construction (including tower material hoisting and fastener tightening, two secondary processes), line construction (including traction rope deployment and ground wire deployment, two secondary processes), and grounding construction (including grounding hole excavation, one secondary process). The local and global comprehensive benefit influencing factors of each secondary process are statistically analyzed based on the transmission line mechanized construction site, and the importance scores are shown in Table 1.

[0069] Table 1 Importance rating criteria for factors affecting the comprehensive benefits of each secondary process

[0070]

[0071] (2) Construct a cloud platform monitoring system, upload construction site images in real time through video surveillance and drone monitoring, build an OSM classification network model on the cloud platform, train image feature extraction capabilities through the YEVA algorithm, identify and screen out secondary process images of mechanized construction of transmission lines, sort the secondary process construction images from strong to weak according to their influencing factors, process the impact noise generated by external short-term interference factors during image transmission through the RNS filtering algorithm, and then upload it to the expert platform for evaluation.

[0072] Through on-site monitoring and drone monitoring, the construction site images are uploaded in real time, and the OSM classification network model is built on the cloud platform. The image feature extraction capability is trained through the YEVA algorithm to screen out the construction images of each secondary process at the construction site. The YEVA algorithm is:

[0073]

[0074] J t =γ t *J t-1 +(1-γ t )*λ t (2)

[0075]

[0076] Where: γ is the momentum factor, λ t is the gradient, J t is the first-order matrix estimate of the gradient, K t is the second-order matrix estimate, J t , K t is the correction of J and K, and v is the velocity.

[0077] The target recognition system is used to identify and screen the secondary process images of the mechanized construction site of the transmission line, and the secondary process construction images and their influencing factors are strongly and weakly associated and bound. Finally, the RNS filtering algorithm is used to process the impact noise generated by external short-term interference factors during image transmission and then uploaded to the expert platform for evaluation.

[0078] The RNS filtering algorithm is:

[0079]

[0080] Where: G is the filter coefficient, L is m is the input image of the system monitoring system, n = (w, v) is the domain pixel point of the center pixel m, E is the set of domain pixel points, W m is the normalization factor.

[0081]

[0082] Where: H μE is the three-dimensional space domain kernel, H μE is the image pixel domain kernel, μ E is the distance standard deviation based on the Gaussian function, μ r is the grayscale standard deviation based on the Gaussian function.

[0083] (3) Construct the SVM confusion matrix AM for the influencing factors of each secondary process i , calculate the local completion degree and mechanization rate of the first-level process of mechanized construction of transmission lines, upload the data to the cloud platform, and conduct a preliminary evaluation of the comprehensive benefits of mechanized construction of transmission lines. On this basis, experts conduct a secondary evaluation based on the images sorted and processed by the cloud platform to ensure the credibility of the evaluation results, thereby completing the quantitative evaluation of the comprehensive benefits of mechanized construction of transmission lines.

[0084] Construct a matrix of the local and global comprehensive benefit influencing factors of each secondary process and construct the SVM confusion matrix AM i , as follows:

[0085]

[0086] Where: b ij It means that the jth influencing engineering factor under the i-th secondary process accounts for the total secondary process influence.

[0087] The factors affecting the secondary process on its corresponding primary process are as follows:

[0088]

[0089] Where: D i=n, D = hn, which respectively represent the influencing engineering factors of the ith secondary process and the total amount of influencing engineering factors of the training samples, and β is the influencing factor of the secondary process on its corresponding primary process.

[0090] Thus, the partial completion degree of each primary process of the mechanized construction of the transmission line is derived, as follows:

[0091]

[0092] Where: j = 1, 2, 3…h, ω j It is the local construction completion degree of mechanized construction of transmission lines.

[0093] After completing the partial completion calculation of the first-level process of mechanized construction of all transmission lines, the mechanization rate of each process is calculated separately, as follows:

[0094]

[0095] Where: P is the mechanized construction rate of a single process of the transmission line, δ c is the weight coefficient of the cth secondary process;

[0096] T c is the mechanized construction rate of the cth secondary process, n is the number of secondary processes (n = 11);

[0097] The local construction completion degree of the first-level mechanized construction of the above-mentioned transmission line and the mechanized construction rate of the first-level process are uploaded to the cloud platform to conduct a preliminary evaluation of the comprehensive benefits of the mechanized construction of the transmission line. The platform collects the preliminary evaluation results and the second-level process construction images and then uploads the data to the expert evaluation platform. The experts comprehensively consider the second-level process construction site images of the mechanized construction of the transmission line and combine them with their personal practical experience to score the importance of the mechanized construction of the transmission line, and divide the overall mechanized construction of the transmission line into four levels: excellent, medium and poor. The specific indicator impact degree and the corresponding score range are shown in Table 2.

[0098] Table 2 Index impact level classification and corresponding score range

[0099]

[0100] Since experts have different levels of understanding of each secondary process, their scoring is subjective. In order to ensure the scientificity and accuracy of the calculation results, it is necessary to test the consistency of the expert scoring matrix.

[0101] The subjective influence of expert evaluators in each secondary process is used to construct the judgment matrix;

[0102]

[0103] Where: v pis the weight of the pth expert rating factor, v q is the weight of the qth expert rating influencing factor.

[0104] Based on this judgment matrix, considering the different personal practical experiences of experts in the process of mechanized construction of transmission lines, the scores provided need to be verified to test the consistency of the judgment matrix C, as follows:

[0105]

[0106] If the matrix C meets the requirements and the final AR<0.1, it means that the judgment matrix meets the requirements.

[0107] Table 3 RI value

[0108]

[0109] Finally, the operation status evaluation of the mechanized construction of the transmission line is determined by weighted calculation of the probabilistic results of the operation status evaluation of each secondary process. The operation status level of the mechanized construction of the transmission line is S T

[0110]

[0111] Where: α (∑α=1) is the weight coefficient of each transmission line mechanized construction process. R The construction status of the secondary process for each mechanized construction process.

[0112] After obtaining the operating status level S of the mechanized construction of the transmission line T Finally, the weighted sum of the operating status level of the mechanized construction of the transmission line and the expert evaluation score after the consistency check is performed. According to the final result, the overall comprehensive benefit of the mechanized construction of the transmission line is quantitatively evaluated. The larger the value, the higher the comprehensive benefit of the mechanized construction of the transmission line.

[0113] (4) After the final quantitative evaluation, if the final weighted result is small (<6), the overall comprehensive benefit level of mechanized construction of the transmission line is low. The cloud platform retrieves relevant data, and the final result is brought into the time-shift inversion model. The probability is inferred through the time-shift inversion method, and on-site construction improvements are made to obtain the optimal result.

[0114]

[0115] Where: η is the probability of each process affecting the mechanized construction of the transmission line, Z(c pro ) and Z(c les ) are the maximum operation mode and the minimum operation mode of the time-lapse inversion model, respectively.

[0116] The inversion is used to deduce the probability of each process affecting the mechanized construction of transmission lines. Improvements are made to the on-site construction in order from high to low probability. After the improvements, the real-time results are updated to maximize the comprehensive benefits of the mechanized construction of transmission lines.

[0117] Finally, it should be noted that the above embodiments are only preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention rather than to limit it. Any modification, improvement, other modification or equivalent replacement made to the technical solution of the present invention by ordinary technicians in this field, as long as they do not depart from the spirit and scope of the technical solution of the present invention, should be included in the protection scope of the present invention.

Claims

1. A method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines, characterized in that: The following steps are involved: Step 1: Count the factors affecting the comprehensive benefits of each sub-process based on the mechanized construction site of the transmission line; Step 2: Build a cloud platform monitoring system, upload construction site images in real time through video surveillance and drone monitoring, build an OSM classification network model on the cloud platform, train image feature extraction capabilities through the YEVA algorithm, identify and screen secondary process images of mechanized construction of power transmission lines, sort the secondary process construction images from strong to weak according to their influencing factors, process the impact noise generated by external short-term interference factors during image transmission through the RNS filtering algorithm, and upload it to the expert platform for evaluation; Step 3: Construct SVM confusion matrix AM for the influencing factors of each secondary process i , calculate the local completion degree and mechanization rate of the first-level process of mechanized construction of transmission lines, upload the data to the cloud platform, and conduct a preliminary evaluation of the comprehensive benefits of mechanized construction of transmission lines. On this basis, experts conduct a secondary evaluation based on the images sorted and processed by the cloud platform to ensure the credibility of the evaluation results, thereby completing the quantitative evaluation of the comprehensive benefits of mechanized construction of transmission lines; Step 4: After the final quantitative evaluation, if the final weighted result is less than 6, the overall comprehensive benefit level of the mechanized construction of the transmission line is low. It is necessary to use the time-shift inversion method to reversely deduce the probability of each process affecting the mechanized construction of the transmission line, make on-site construction improvements, and obtain the optimal result.

2. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 1 is characterized by: In step 1, a two-level and three-layer transmission line mechanized construction process evaluation index system is established according to the main processes of transmission line mechanized construction. The five main process indicators and 11 secondary process indicators of transmission line mechanized construction are quantitatively analyzed and evaluated, including material transportation, foundation construction, tower assembly construction, line construction, and grounding construction. The local and global comprehensive benefit influencing factors of each secondary process are statistically analyzed according to the transmission line mechanized construction site.

3. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 1 is characterized in that: In step 2, the construction site images are uploaded in real time through on-site monitoring and drone monitoring, and the OSM classification network model is built on the cloud platform. The image feature extraction capability is trained through the YEVA algorithm to screen out the construction images of each secondary process at the construction site. The YEVA algorithm is: J t =c t *J t-1 +(1-c t )*l t (2) Where: γ is the momentum factor, λ t is the gradient, J t is the first-order matrix estimate of the gradient, K t is the second-order matrix estimate, J t , K t is the correction of J and K, v is the velocity; The target recognition system is used to identify and screen the secondary process images of the mechanized construction site of the transmission line, and the secondary process construction images and their influencing factors are strongly and weakly associated and bound. Finally, the RNS filtering algorithm is used to process the impact noise generated by external short-term interference factors during image transmission and then uploaded to the expert platform for evaluation. The RNS filtering algorithm is: Where: G is the filter coefficient, L is m is the input image of the system monitoring system, n = (w, v) is the domain pixel point of the center pixel m, E is the set of domain pixel points, W m is the normalization factor; Where: H μE is the three-dimensional space domain kernel, H μE is the image pixel domain kernel, μ E is the distance standard deviation based on the Gaussian function, μ r is the grayscale standard deviation based on the Gaussian function.

4. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 1 is characterized in that: Construct a matrix of the local and global comprehensive benefit influencing factors of each secondary process and construct the SVM confusion matrix AM i , as follows: Where: b ij It represents the percentage of the jth influencing engineering factor under the i-th secondary process to the influencing factors of the overall secondary process; The factors affecting the secondary process on its corresponding primary process are as follows: Where: D i =n, D = hn, which represent the influencing engineering factors of the i-th secondary process and the total amount of influencing engineering factors of the training samples, respectively, and β is the influencing factor of the secondary process on its corresponding primary process; Thus, the partial completion degree of each primary process of the mechanized construction of the transmission line is derived, as follows: Where: j = 1, 2, 3…h, ω j The local construction completion degree of mechanized construction of transmission lines; After completing the partial completion calculation of the first-level process of mechanized construction of all transmission lines, the mechanization rate of each process is calculated separately, as follows: Where: P is the mechanized construction rate of a single process of the transmission line, δ c is the weight coefficient of the cth secondary process; T c is the mechanized construction rate of the cth secondary process, and n is the number of secondary processes.

5. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 4 is characterized in that: The local construction completion degree of the first-level mechanized construction process and the mechanized construction rate of the first-level mechanized construction process of the above-mentioned transmission line are uploaded to the cloud platform for a preliminary evaluation of the comprehensive benefits of the mechanized construction of the transmission line. The platform collects the preliminary evaluation results and the second-level construction images and then uploads the data to the expert evaluation platform. The experts comprehensively consider the on-site images of the second-level mechanized construction process of the transmission line and their personal practical experience to score the importance of the mechanized construction of the transmission line, and divide the overall mechanized construction of the transmission line into four levels: excellent, good, medium and poor.

6. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 5 is characterized in that: Since experts have different understandings of each secondary process, their scoring is subjective. To ensure the scientificity and accuracy of the calculation results, it is necessary to test the consistency of the expert scoring matrix. The subjective influence of expert evaluators in each secondary process is used to construct the judgment matrix; Where: v p is the weight of the pth expert rating factor, v q is the weight of the qth expert rating influencing factor; Based on this judgment matrix, considering the different personal practical experiences of experts in the process of mechanized construction of transmission lines, the scores provided need to be verified to test the consistency of the judgment matrix C, as follows: If the matrix C meets the requirements and the final AR<0.1, it means that the judgment matrix meets the requirements.

7. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 6 is characterized by: Finally, the operation status evaluation of the mechanized construction of the transmission line is determined by weighted calculation of the probabilistic results of the operation status evaluation of each secondary process. The operation status level of the mechanized construction of the transmission line is S T Where: α is the weight coefficient of each transmission line mechanized construction process, S R The construction status of the secondary process for each mechanized construction process; After obtaining the operating status level S of the mechanized construction of the transmission line T Finally, the weighted sum of the operating status level of the mechanized construction of the transmission line and the expert evaluation score after the consistency check is performed. According to the final result, the overall comprehensive benefit of the mechanized construction of the transmission line is quantitatively evaluated. The larger the value, the higher the comprehensive benefit of the mechanized construction of the transmission line.

8. The method for quantitatively evaluating the comprehensive benefits of mechanized construction of power transmission lines according to claim 7 is characterized in that: After the final quantitative evaluation, if the final weighted result is less than 6, the overall comprehensive benefit level of mechanized construction of power transmission lines is low. The cloud platform retrieves relevant data, brings the final result into the time-shift inversion model, and infers the probability through the time-shift inversion method. Where: η is the probability of each process affecting the mechanized construction of the transmission line, Z(c pro ) and Z(c les ) are the maximum operation mode and the minimum operation mode of the time-lapse inversion model, respectively.

Images