Ecological environment influence assessment method and system for mechanical construction of power transmission line

Through the ecological environment impact assessment model constructed by support vector machine, particle swarm optimization and bat algorithm, the one-sided problem of evaluation results in the existing technology is solved, dynamic assessment and accurate prediction of the ecological environment impact of mechanized construction is realized, and a scientific early warning-response mechanism is established, which improves the accuracy of the evaluation and control efficiency.

CN119831131AActive Publication Date: 2025-04-15ECONOMIC & TECH RES INST OF HUBEI ELECTRIC POWER COMPANY SGCC

Patent Information

Application Number
CN202411739382.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-04-15
Estimated Expiration
2044-11-29

AI Technical Summary

Technical Problem

The existing ecological environment assessment methods cannot accurately reflect the dynamic changes of mechanized construction, lack comprehensive consideration of multi-dimensional environmental impact factors, and the evaluation results are one-sided, making it difficult to conduct a forward-looking assessment of potential environmental risks.

Method used

The support vector machine algorithm is used to build an ecological environment impact prediction model, combine the particle swarm optimization algorithm and the bat algorithm, and through the impact quantitative assessment and comprehensive assessment model, the ecological environment impact factors are identified and quantitatively scored, a dynamic assessment system is established, an early warning level is set and corresponding measures are taken.

Benefits of technology

It realizes dynamic assessment and accurate prediction of the ecological environment impact of mechanized construction, improves the accuracy and control efficiency of assessment, and forms a scientific early warning-response mechanism to ensure the ecological environment protection of the construction process.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a power transmission line mechanical construction ecological environment influence assessment method and system. The method comprises the following steps: acquiring basic data and construction parameters of a power transmission line mechanical construction area; constructing an ecological environment influence prediction model, and identifying the basic data and the construction parameters based on the ecological environment influence prediction model to obtain ecological environment influence factors; identifying each ecological environment impact factor through an impact quantitative evaluation model to obtain an ecological environment impact score of each ecological environment impact factor, and identifying the ecological environment impact score of each ecological environment impact factor according to a comprehensive evaluation model to obtain an overall impact rating; and recording the overall influence rating and notifying a manager, and taking corresponding treatment measures for mechanical construction according to the overall influence rating. According to the invention, dynamic evaluation, accurate prediction and effective management and control of the influence of the ecological environment in the construction process are realized, and the evaluation accuracy of the influence of mechanical construction on the ecological environment is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of environmental and water conservation of power transmission line projects, and in particular to a method and system for evaluating the ecological environmental impact of mechanized construction of power transmission lines. Background Art

[0002] With the continuous expansion of the scale of power grid construction, mechanized construction of transmission lines has become the main construction method. The disturbance caused by mechanized construction is different from that of traditional construction methods. The heavy equipment and mechanical tools used in mechanized construction may cause more serious damage and disturbance to the soil in actual construction. For example, mechanical equipment such as excavators and bulldozers may more easily damage the soil structure when carrying out earthwork. Since the soil and water loss problems caused by mechanized construction are more serious than those caused by traditional construction methods, it is necessary to evaluate the impact of mechanized construction on the ecological environment.

[0003] Existing ecological and environmental assessment methods mostly use static, linear assessment models, which cannot accurately reflect the dynamic changing characteristics of ecological and environmental impacts, lack comprehensive consideration of multi-dimensional environmental impact factors, and have one-sided assessment results. The model's predictive ability is limited, making it difficult to be forward-looking about potential environmental risks. Summary of the invention

[0004] In view of this, the present invention proposes a method and system for evaluating the ecological and environmental impact of mechanized construction of power transmission lines, which solves the problem that the prior art lacks comprehensive consideration of multi-dimensional environmental impact factors and the evaluation results are relatively one-sided.

[0005] The technical solution of the present invention is implemented as follows: In the first aspect, the present invention provides a method for evaluating the ecological environmental impact of mechanized construction of a power transmission line, comprising the following steps:

[0006] S1. Collect basic data and construction parameters of the mechanized construction area of ​​the transmission line;

[0007] S2. Construct an ecological environment impact prediction model, identify the basic data and the construction parameters based on the ecological environment impact prediction model, and obtain the ecological environment impact factors of the mechanized construction on the ecological environment;

[0008] S3. Identify each ecological and environmental impact factor through the impact quantification assessment model, obtain the ecological and environmental impact score of each ecological and environmental impact factor, identify the ecological and environmental impact score of each ecological and environmental impact factor according to the comprehensive assessment model, and obtain the overall impact rating of mechanized construction on the ecological environment;

[0009] S4. Record the overall impact rating and notify the management personnel, and take corresponding treatment measures for mechanized construction according to the overall impact rating.

[0010] On the basis of the above technical solution, preferably, step S1 includes:

[0011] The basic data includes vegetation coverage percentage, soil moisture and precipitation. The regional vegetation distribution map is obtained by satellite remote sensing technology, and the regional vegetation distribution map is identified by image recognition processing algorithm to obtain the vegetation coverage percentage. The soil moisture of the construction area is obtained by setting a soil moisture sensor in the construction area to monitor and obtain the soil moisture in the construction area in real time, and the precipitation in the construction area is counted based on a portable rain gauge;

[0012] The construction parameters include construction area, operation frequency and length of temporary roads. The construction area is obtained by measuring the construction area on site, the operation frequency is obtained by recording the frequency of construction operations, and the length of temporary roads opened during mechanized construction is obtained by measuring the temporary roads through the GPS positioning system.

[0013] Based on the above technical solution, preferably, step S2 includes:

[0014] S21, preprocessing and feature extraction of the basic data and the construction parameters, wherein the preprocessing includes data cleaning and data interpolation, feature extraction by principal component analysis, and unifying the data format by data standardization method to obtain preprocessed cleaning basic data and cleaning construction parameters;

[0015] S22. Construct an original ecological environment impact prediction model based on a support vector machine algorithm, obtain historical basic data and historical construction parameters, divide the historical basic data and historical construction parameters into a training set and a validation set, train and test the original ecological environment impact prediction model through the training set and the validation set, and obtain a trained and evaluated ecological environment impact prediction model;

[0016] S23. Input the clean basic data and clean construction parameters into the ecological environment impact prediction model to obtain the predicted ecological environment impact factors of the mechanized construction on the ecological environment, wherein the ecological environment impact factors include species habitat impact factors, soil erosion risk factors and normalized environmental factors.

[0017] On the basis of the above technical solution, preferably, step S3 includes:

[0018] S31. Constructing an impact quantification assessment model based on a particle swarm optimization algorithm, initializing particle swarm parameters, wherein the particle swarm parameters include population size, number of iterations, and learning factor, constructing an objective function of the impact quantification assessment model, taking the ecological environmental impact factor as the optimization target, optimizing the model parameters of the impact quantification assessment model by iteratively updating the particle position and particle velocity, and obtaining the ecological environmental impact score of each ecological environmental impact factor;

[0019] S32. Construct a comprehensive evaluation model based on the bat algorithm, initialize the bat population, set the pulse frequency and loudness parameters, construct the fitness function of the comprehensive evaluation model, take the weight of each ecological environment influencing factor as the optimization target, optimize the weight coefficient of each ecological environment influencing factor through pulse frequency adjustment and bat position update, and obtain the overall impact rating of mechanized construction on the ecological environment.

[0020] Based on the above technical solution, preferably, step S31 includes:

[0021] The particle swarm velocity update calculation formula of the impact quantitative evaluation model is:

[0022]

[0023] in, is the velocity of the oth particle at the p+1th iteration of the dth dimension, is the velocity of the o-th particle at the p-th iteration of the d-th dimension, ω is the local-global equilibrium inertia weight, c1 and c2 are cognitive learning factors and social learning factors, r1 and r2 are the first and second random numbers between 0 and 1, respectively. is the historical optimal position of the o-th particle at the p-th iteration in the d-th dimension, is the current position of the oth particle at the pth iteration in the dth dimension, is the global optimal position of the particle swarm at the pth iteration in the dth dimension;

[0024] The calculation formula of the impact quantitative assessment model is:

[0025]

[0026] Among them, Q is the ecological environmental impact score output by the quantitative assessment model, λ I is the weight coefficient of the habitat influencing factor of the first species, σ(·) is the Sigmoid activation function, z sI is the habitat impact factor value of the first species, w I is the weight coefficient of the influencing factor of the species habitat, N is the number of influencing factors of the species habitat, β is the adjustment coefficient of the soil and water loss risk factor, Var(zw) is the soil and water loss risk factor z w The variance of η is the environmental factor adjustment coefficient, f J is the Jth normalized environmental factor value, w J is the weight coefficient of the Jth normalized environmental factor, M is the number of normalized environmental factors, and D is the ecological environment distance range coefficient.

[0027] Based on the above technical solution, preferably, step S32 includes:

[0028] The calculation formula of the comprehensive evaluation model is:

[0029]

[0030] Among them, E is the overall impact rating, w P is the weight coefficient of the Pth ecological environment impact factor, Q P is the ecological and environmental impact score of the Pth ecological and environmental impact factor, O is the number of ecological and environmental impact factors, δ P is the amplitude coefficient of the Pth ecological environment impact factor, t is the time variable, T P is the period parameter of the Pth ecological environment impact factor, φ P is the phase offset of the Pth ecological environment influencing factor.

[0031] Based on the above technical solution, preferably, step S4 includes:

[0032] S41. Based on the comparison between the overall impact rating and the preset warning level threshold, the warning levels are divided into red warning, orange warning, yellow warning, and blue warning. The values ​​of red warning, orange warning, yellow warning, and blue warning correspond to [0.85E, E], [0.7E, 0.85E), [0.55E, 0.7E), and [0, 0.55E), respectively.

[0033] S42. For red alerts, stop all mechanized construction operations, organize ecological and environmental experts to conduct on-site assessments, fence off and deal with the damaged areas in an emergency, initiate 24-hour environmental monitoring, formulate a restoration plan and implement it after expert verification, and resume construction after rectification is completed and passed acceptance; for orange alerts, suspend mechanized construction in the affected areas, organize environmental protection personnel to conduct on-site inspections, add temporary protection facilities and monitoring equipment, conduct regular environmental monitoring, adjust construction processes and working hours, and resume construction after confirming that the impact is under control; for yellow alerts, reduce the intensity of mechanical operations to below 70%, increase the frequency of watering and dust reduction, strengthen noise monitoring and control measures, record environmental conditions during each shift, and dynamically adjust construction parameters based on monitoring results; for blue alerts, maintain normal construction conditions, conduct routine environmental monitoring every day, implement on-site dust and noise reduction measures, record construction environmental impact data, and regularly evaluate and optimize construction plans.

[0034] In a second aspect, the present invention further provides an ecological and environmental impact assessment system for mechanized construction of power transmission lines, the system comprising:

[0035] Construction data collection module, used to collect basic data and construction parameters of the mechanized construction area of ​​the transmission line;

[0036] An impact factor identification module is used to construct an ecological environment impact prediction model, identify the basic data and the construction parameters based on the ecological environment impact prediction model, and obtain the ecological environment impact factors of the mechanized construction on the ecological environment;

[0037] The overall impact rating module is used to identify each ecological and environmental impact factor through the impact quantification assessment model, obtain the ecological and environmental impact score of each ecological and environmental impact factor, identify the ecological and environmental impact score of each ecological and environmental impact factor according to the comprehensive assessment model, and obtain the overall impact rating of mechanized construction on the ecological environment;

[0038] The construction early warning processing module is used to record the overall impact rating and notify the management personnel, and take corresponding processing measures for the mechanized construction according to the overall impact rating.

[0039] In a third aspect, the present invention further provides an electronic device, comprising: at least one processor, at least one memory, a communication interface and a bus;

[0040] Among them, the processor, memory, and communication interface communicate with each other through the bus, the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to implement steps such as a method for evaluating the ecological and environmental impact of mechanized construction of transmission lines.

[0041] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions enable a computer to implement steps such as a method for assessing the ecological environmental impact of mechanized construction of a power transmission line.

[0042] The method and system for evaluating the ecological environment impact of mechanized construction of power transmission lines of the present invention have the following beneficial effects compared with the prior art:

[0043] (1) By collecting basic data and construction parameters to establish a data foundation, the support vector machine algorithm was used to build an ecological and environmental impact prediction model to identify ecological and environmental impact factors. Based on the impact quantification assessment model and the comprehensive assessment model, each ecological and environmental impact factor was quantitatively scored and an overall impact rating was obtained. Early warning and treatment measures were implemented based on the overall impact rating, thus achieving dynamic assessment, accurate prediction and effective control of the ecological and environmental impact of the construction process, and improving the accuracy of the assessment.

[0044] (2) By introducing the speed update mechanism of the particle swarm optimization algorithm and setting the local-global balance inertia weights, cognitive learning factors, and social learning factors, a more effective search for the optimal solution in multidimensional space is achieved, which enables particles to better balance the ability of local search and global search in the search space, improves the optimization efficiency, and thus achieves an accurate quantitative evaluation of the factors affecting the ecological environment.

[0045] (3) By introducing the amplitude coefficient, period parameter and phase offset, combined with the optimization mechanism of the bat algorithm, the weight coefficient of the ecological environment influencing factors is accurately optimized, which improves the accuracy of the overall impact rating of mechanized construction on the ecological environment and can more effectively reflect the dynamic changes of different ecological environment influencing factors under different times and conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 The present invention is a flow chart of an ecological environment impact assessment method for mechanized construction of power transmission lines.

[0048] Figure 2 This is a structural diagram of an ecological environment impact assessment system for mechanized construction of power transmission lines according to the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with 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.

[0050] See also Figure 1 The present invention provides a method for evaluating the ecological environment impact of mechanized construction of power transmission lines, comprising the following steps:

[0051] S1. Collect basic data and construction parameters of the mechanized construction area of ​​the transmission line;

[0052] S2. Construct an ecological environment impact prediction model, identify the basic data and the construction parameters based on the ecological environment impact prediction model, and obtain the ecological environment impact factors of the mechanized construction on the ecological environment;

[0053] S3. Identify each ecological and environmental impact factor through the impact quantification assessment model, obtain the ecological and environmental impact score of each ecological and environmental impact factor, identify the ecological and environmental impact score of each ecological and environmental impact factor according to the comprehensive assessment model, and obtain the overall impact rating of mechanized construction on the ecological environment;

[0054] S4. Record the overall impact rating and notify the management personnel, and take corresponding treatment measures for mechanized construction according to the overall impact rating.

[0055] Specifically, this embodiment establishes a data foundation by collecting basic data and construction parameters, constructs an ecological environmental impact prediction model using a support vector machine algorithm, identifies ecological environmental impact factors, and quantifies and scores each ecological environmental impact factor based on an impact quantification assessment model and a comprehensive assessment model to derive an overall impact rating. Early warning and treatment measures are implemented based on the overall impact rating, thereby achieving dynamic assessment, accurate prediction, and effective control of the ecological environmental impact of the construction process, and improving the accuracy of the assessment.

[0056] Step S1 includes:

[0057] The basic data includes vegetation coverage percentage, soil moisture and precipitation. The regional vegetation distribution map is obtained by satellite remote sensing technology, and the regional vegetation distribution map is identified by image recognition processing algorithm to obtain the vegetation coverage percentage. The soil moisture of the construction area is obtained by setting a soil moisture sensor in the construction area to monitor and obtain the soil moisture in the construction area in real time, and the precipitation in the construction area is counted based on a portable rain gauge;

[0058] The construction parameters include construction area, operation frequency and length of temporary roads. The construction area is obtained by measuring the construction area on site, the operation frequency is obtained by recording the frequency of construction operations, and the length of temporary roads opened during mechanized construction is obtained by measuring the temporary roads through the GPS positioning system.

[0059] Specifically, this embodiment obtains vegetation coverage percentage through satellite remote sensing technology and image recognition algorithm, realizes large-scale and high-efficiency vegetation data collection, uses soil moisture sensor to monitor soil moisture in real time, ensures the timeliness and accuracy of data, uses portable rain gauge to count precipitation, ensures the reliability of precipitation data, measures the construction area on site to ensure the accuracy of construction scope data, records the operation frequency to obtain the operation frequency, realizes the quantification of construction intensity, and uses GPS positioning system to measure the length of the access road to provide accurate spatial data. This embodiment realizes the automatic collection of multi-dimensional data, and improves the efficiency and accuracy of data collection.

[0060] Step S2 includes:

[0061] S21, preprocessing and feature extraction of the basic data and the construction parameters, wherein the preprocessing includes data cleaning and data interpolation, feature extraction by principal component analysis, and unifying the data format by data standardization method to obtain preprocessed cleaning basic data and cleaning construction parameters;

[0062] S22. Construct an original ecological environment impact prediction model based on a support vector machine algorithm, obtain historical basic data and historical construction parameters, divide the historical basic data and historical construction parameters into a training set and a validation set, train and test the original ecological environment impact prediction model through the training set and the validation set, and obtain a trained and evaluated ecological environment impact prediction model;

[0063] S23. Input the clean basic data and clean construction parameters into the ecological environment impact prediction model to obtain the predicted ecological environment impact factors of the mechanized construction on the ecological environment, wherein the ecological environment impact factors include species habitat impact factors, soil erosion risk factors and normalized environmental factors.

[0064] Specifically, this embodiment improves data quality by cleaning to remove noise and outliers in the data, interpolating and filling missing data, adopts principal component analysis for feature extraction, reduces data complexity by dimensionality reduction, retains the most important features in the data, reduces data dimension, reduces computational complexity, and converts data to a unified scale by standardization methods to eliminate the impact between different dimensions.

[0065] The calculation formula of the kernel function of the ecological environment impact prediction model is:

[0066] K(x i ,x j )=exp(-γx i -x j 2 );

[0067] Among them, x i and x j are the i-th and j-th samples of the input data of the ecological environment impact prediction model, exp(·) is the exponential function, γ is the kernel parameter, K(x i ,x j ) is the sample x i and sample x j Similarity in feature space;

[0068] The calculation formula for the species habitat impact factor is:

[0069]

[0070] Among them, z sis the predicted impact value of species habitat, α k is the Lagrange multiplier of the kth sample, y k is the label value of the kth sample, K(x k ,x) is the similarity between the kth sample and the new input sample in the feature space, B is the species habitat impact bias, and n is the number of samples;

[0071] The calculation formula of the soil and water loss risk factor is:

[0072]

[0073] Among them, z w is the predicted soil and water loss risk factor value, w0 is the support vector machine model bias, w l is the weight coefficient of the lth input variable, y l is the label value of the lth input variable, and m is the number of input variables.

[0074] Specifically, this embodiment introduces an exponential function and a kernel parameter, measures the relationship between different input data in the feature space by calculating the similarity between samples, adopts the Lagrange multiplier method combined with the support vector machine algorithm, predicts the degree of influence by a weighted combination of sample label values ​​and similarities, introduces a bias term B to improve the generalization ability of the model, adopts a linear combination method, combines weight coefficients and input variables, introduces a support vector machine bias term, and enhances the adaptability of the model.

[0075] Step S3 includes:

[0076] S31. Constructing an impact quantification assessment model based on a particle swarm optimization algorithm, initializing particle swarm parameters, wherein the particle swarm parameters include population size, number of iterations, and learning factor, constructing an objective function of the impact quantification assessment model, taking the ecological environmental impact factor as the optimization target, optimizing the model parameters of the impact quantification assessment model by iteratively updating the particle position and particle velocity, and obtaining the ecological environmental impact score of each ecological environmental impact factor;

[0077] S32. Construct a comprehensive evaluation model based on the bat algorithm, initialize the bat population, set the pulse frequency and loudness parameters, construct the fitness function of the comprehensive evaluation model, take the weight of each ecological environment influencing factor as the optimization target, optimize the weight coefficient of each ecological environment influencing factor through pulse frequency adjustment and bat position update, and obtain the overall impact rating of mechanized construction on the ecological environment.

[0078] Specifically, this embodiment adopts a particle swarm optimization algorithm, optimizes model parameters through iteration, sets the population size, number of iterations and learning factor, obtains accurate scores of various ecological environmental impact factors through optimization of the objective function, and realizes a quantitative assessment of environmental impact.

[0079] This embodiment adopts the bat algorithm, and constructs a fitness function to optimize the weight coefficient of each influencing factor by setting the pulse frequency and loudness parameters, thereby achieving a comprehensive balance of different ecological environment influencing factors.

[0080] By coordinating the impact quantification assessment model and the comprehensive assessment model, a complete assessment system is formed, which realizes the automation of the assessment process and improves the reliability of the assessment results.

[0081] Step S31 includes:

[0082] The particle swarm velocity update calculation formula of the impact quantitative evaluation model is:

[0083]

[0084] in, is the velocity of the oth particle at the p+1th iteration of the dth dimension, is the velocity of the o-th particle at the p-th iteration of the d-th dimension, ω is the local-global equilibrium inertia weight, c1 and c2 are cognitive learning factors and social learning factors, r1 and r2 are the first and second random numbers between 0 and 1, respectively. is the historical optimal position of the o-th particle at the p-th iteration in the d-th dimension, is the current position of the oth particle at the pth iteration in the dth dimension, is the global optimal position of the particle swarm at the pth iteration in the dth dimension;

[0085] The calculation formula of the impact quantitative assessment model is:

[0086]

[0087] Among them, Q is the ecological environmental impact score output by the quantitative assessment model, λ I is the weight coefficient of the habitat influencing factor of the first species, σ(·) is the Sigmoid activation function, z sI is the habitat impact factor value of the first species, w I is the weight coefficient of the influencing factor of the species habitat, N is the number of influencing factors of the species habitat, β is the adjustment coefficient of the soil and water loss risk factor, Var(zw) is the soil and water loss risk factor z w The variance of η is the environmental factor adjustment coefficient, f J is the Jth normalized environmental factor value, w J is the weight coefficient of the Jth normalized environmental factor, M is the number of normalized environmental factors, and D is the ecological environment distance range coefficient.

[0088] Specifically, this embodiment introduces a particle swarm optimization algorithm to search for the optimal solution in a multidimensional space. The particle swarm speed update calculation formula introduces the local global balance inertia weight, cognitive learning factor, and social learning factor, so that particles can better balance the local search and global search capabilities in the search space. The speed update formula dynamically adjusts the speed and position of the particles by combining the historical optimal position and the global optimal position, so that the particles can quickly converge to the optimal solution while maintaining a certain exploration ability.

[0089] Step S32 includes:

[0090] The calculation formula of the comprehensive evaluation model is:

[0091]

[0092] Among them, E is the overall impact rating, w P is the weight coefficient of the Pth ecological environment impact factor, Q P is the ecological and environmental impact score of the Pth ecological and environmental impact factor, O is the number of ecological and environmental impact factors, δ P is the amplitude coefficient of the Pth ecological environment impact factor, t is the time variable, T P is the period parameter of the Pth ecological environment impact factor, φ P is the phase offset of the Pth ecological environment influencing factor.

[0093] Specifically, this embodiment controls the search range and accuracy of the bat algorithm by setting the maximum and minimum values ​​of the pulse frequency. The adjustment of the pulse frequency enables the algorithm to dynamically balance between global search and local search, thereby improving the search efficiency. The position update formula combines the current global optimal solution, so that each iteration can be adjusted toward the optimal solution. The stability is enhanced by iterative updates of speed and position. The introduction of adaptive adjustment parameters of loudness and pulse emission rate enables the search strategy to be dynamically adjusted according to the current search state, thereby improving the adaptability at different search stages.

[0094] Step S4 includes:

[0095] S41. Based on the comparison between the overall impact rating and the preset warning level threshold, the warning levels are divided into red warning, orange warning, yellow warning, and blue warning. The values ​​of red warning, orange warning, yellow warning, and blue warning correspond to [0.85E, E], [0.7E, 0.85E), [0.55E, 0.7E), and [0, 0.55E), respectively.

[0096] S42. For red alerts, stop all mechanized construction operations, organize ecological and environmental experts to conduct on-site assessments, fence off and deal with the damaged areas in an emergency, initiate 24-hour environmental monitoring, formulate a restoration plan and implement it after expert verification, and resume construction after rectification is completed and passed acceptance; for orange alerts, suspend mechanized construction in the affected areas, organize environmental protection personnel to conduct on-site inspections, add temporary protection facilities and monitoring equipment, conduct regular environmental monitoring, adjust construction processes and working hours, and resume construction after confirming that the impact is under control; for yellow alerts, reduce the intensity of mechanical operations to below 70%, increase the frequency of watering and dust reduction, strengthen noise monitoring and control measures, record environmental conditions during each shift, and dynamically adjust construction parameters based on monitoring results; for blue alerts, maintain normal construction conditions, conduct routine environmental monitoring every day, implement on-site dust and noise reduction measures, record construction environmental impact data, and regularly evaluate and optimize construction plans.

[0097] Specifically, this embodiment establishes a scientific four-level warning system, including red warning, orange warning, yellow warning, and blue warning, sets clear warning level thresholds, realizes quantitative judgment of warnings, formulates differentiated processing measures for different warning levels, and forms a complete warning-response chain.

[0098] For red alerts: prevent further deterioration of the ecological environment through immediate suspension of work and expert evaluation, ensure timely detection of problems through 24-hour environmental monitoring, and ensure the scientific nature of the treatment measures through expert demonstration of restoration plans.

[0099] For orange warnings, environmental impacts are reduced by partially suspending construction, prevention and control are strengthened by adding protective and monitoring equipment, and active management and control are achieved by adjusting construction techniques.

[0100] For yellow warnings, preventive control is achieved by reducing work intensity, increasing monitoring frequency to provide data support, and dynamically adjusting construction parameters to keep the impact controllable.

[0101] For blue warnings, basic data is accumulated through regular monitoring, and construction plans are optimized to achieve continuous improvement.

[0102] This embodiment achieves early identification and early warning of environmental risks, establishes a hierarchical response and disposal mechanism, forms a closed-loop management system, and improves the targeted nature of ecological environmental protection.

[0103] See also Figure 2 The present invention also provides an ecological environment impact assessment system for mechanized construction of power transmission lines, the system comprising:

[0104] Construction data collection module, used to collect basic data and construction parameters of the mechanized construction area of ​​the transmission line;

[0105] An impact factor identification module is used to construct an ecological environment impact prediction model, identify the basic data and the construction parameters based on the ecological environment impact prediction model, and obtain the ecological environment impact factors of the mechanized construction on the ecological environment;

[0106] The overall impact rating module is used to identify each ecological and environmental impact factor through the impact quantification assessment model, obtain the ecological and environmental impact score of each ecological and environmental impact factor, identify the ecological and environmental impact score of each ecological and environmental impact factor according to the comprehensive assessment model, and obtain the overall impact rating of mechanized construction on the ecological environment;

[0107] The construction early warning processing module is used to record the overall impact rating and notify the management personnel, and take corresponding processing measures for the mechanized construction according to the overall impact rating.

[0108] Specifically, the construction data collection module of this embodiment realizes the automatic collection of basic data and construction parameters, improves the efficiency and accuracy of data collection, and forms a complete data collection system.

[0109] The influencing factor identification module realizes the automatic identification of influencing factors through the ecological environment impact prediction model, improves the accuracy of influencing factor identification, and reduces the subjectivity and errors of manual identification.

[0110] The overall impact rating module realizes the quantitative evaluation and comprehensive evaluation of impact factors, and improves the accuracy of rating results through a dual evaluation mechanism.

[0111] The construction early warning processing module realizes the timely transmission of early warning information, establishes a closed-loop management of early warning-processing, and improves the pertinence and effectiveness of processing measures.

[0112] The ecological and environmental impact assessment system for mechanized construction of power transmission lines in this embodiment realizes the automation of the assessment process, forms a complete data collection-identification-assessment-processing chain, and improves the overall efficiency of the ecological and environmental impact assessment.

[0113] The present invention also discloses an electronic device, comprising: at least one processor, at least one memory communication interface and a bus: wherein the processor, memory and communication interface communicate with each other through the bus; the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to implement an ecological environmental impact assessment method for mechanized construction of transmission lines.

[0114] The present invention also discloses a computer-readable storage medium, which stores computer instructions, and the computer instructions enable the computer to implement all or part of the steps of the method for evaluating the ecological environment impact of mechanized construction of power transmission lines described in the embodiment of the present invention. The storage medium includes: a U disk, a mobile hard disk, a read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk, and other media that can store program codes.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the ecological environment impact of mechanized construction of power transmission lines, characterized in that: The following steps are involved: S1. Collect basic data and construction parameters of the mechanized construction area of ​​the transmission line; S2. Construct an ecological environment impact prediction model, identify the basic data and the construction parameters based on the ecological environment impact prediction model, and obtain the ecological environment impact factors of the mechanized construction on the ecological environment; S3. Identify each ecological and environmental impact factor through the impact quantification assessment model, obtain the ecological and environmental impact score of each ecological and environmental impact factor, identify the ecological and environmental impact score of each ecological and environmental impact factor according to the comprehensive assessment model, and obtain the overall impact rating of mechanized construction on the ecological environment; S4. Record the overall impact rating and notify the management personnel, and take corresponding treatment measures for mechanized construction according to the overall impact rating.

2. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 1, characterized in that: Step S1 includes: The basic data includes vegetation coverage percentage, soil moisture and precipitation. The regional vegetation distribution map is obtained by satellite remote sensing technology, and the regional vegetation distribution map is identified by image recognition processing algorithm to obtain the vegetation coverage percentage. The soil moisture of the construction area is obtained by setting a soil moisture sensor in the construction area to monitor and obtain the soil moisture in the construction area in real time, and the precipitation in the construction area is counted based on a portable rain gauge; The construction parameters include construction area, operation frequency and length of temporary roads. The construction area is obtained by measuring the construction area on site, the operation frequency is obtained by recording the frequency of construction operations, and the length of temporary roads opened during mechanized construction is obtained by measuring the temporary roads through the GPS positioning system.

3. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 1, characterized in that: Step S2 includes: S21, preprocessing and feature extraction of the basic data and the construction parameters, wherein the preprocessing includes data cleaning and data interpolation, feature extraction by principal component analysis, and unifying the data format by data standardization method to obtain preprocessed cleaning basic data and cleaning construction parameters; S22. Construct an original ecological environment impact prediction model based on a support vector machine algorithm, obtain historical basic data and historical construction parameters, divide the historical basic data and historical construction parameters into a training set and a validation set, train and test the original ecological environment impact prediction model through the training set and the validation set, and obtain a trained and evaluated ecological environment impact prediction model; S23. Input the clean basic data and clean construction parameters into the ecological environment impact prediction model to obtain the predicted ecological environment impact factors of the mechanized construction on the ecological environment, wherein the ecological environment impact factors include species habitat impact factors, soil erosion risk factors and normalized environmental factors.

4. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 1, characterized in that: Step S3 includes: S31. Constructing an impact quantification assessment model based on a particle swarm optimization algorithm, initializing particle swarm parameters, wherein the particle swarm parameters include population size, number of iterations, and learning factor, constructing an objective function of the impact quantification assessment model, taking the ecological environmental impact factor as the optimization target, optimizing the model parameters of the impact quantification assessment model by iteratively updating the particle position and particle velocity, and obtaining the ecological environmental impact score of each ecological environmental impact factor; S32. Construct a comprehensive evaluation model based on the bat algorithm, initialize the bat population, set the pulse frequency and loudness parameters, construct the fitness function of the comprehensive evaluation model, take the weight of each ecological environment influencing factor as the optimization target, optimize the weight coefficient of each ecological environment influencing factor through pulse frequency adjustment and bat position update, and obtain the overall impact rating of mechanized construction on the ecological environment.

5. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 4, characterized in that: Step S31 includes: The particle swarm velocity update calculation formula of the impact quantitative evaluation model is: in, is the velocity of the oth particle at the p+1th iteration of the dth dimension, is the velocity of the o-th particle at the p-th iteration of the d-th dimension, ω is the local-global equilibrium inertia weight, c1 and c2 are cognitive learning factors and social learning factors, r1 and r2 are the first and second random numbers between 0 and 1, respectively. is the historical optimal position of the o-th particle at the p-th iteration in the d-th dimension, is the current position of the oth particle at the pth iteration in the dth dimension, is the global optimal position of the particle swarm at the pth iteration in the dth dimension; The calculation formula of the impact quantitative assessment model is: Among them, Q is the ecological environmental impact score output by the quantitative assessment model, λ I is the weight coefficient of the habitat influencing factor of the first species, σ(·) is the Sigmoid activation function, z sI is the habitat impact factor value of the first species, w I is the weight coefficient of the influencing factor of the species habitat, N is the number of influencing factors of the species habitat, β is the adjustment coefficient of the soil and water loss risk factor, Var(z w ) is the variance of soil and water loss risk factor zw, η is the environmental factor adjustment coefficient, f J is the Jth normalized environmental factor value, w J is the weight coefficient of the Jth normalized environmental factor, M is the number of normalized environmental factors, and D is the ecological environment distance range coefficient.

6. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 5, characterized in that: Step S32 includes: The calculation formula of the comprehensive evaluation model is: Among them, E is the overall impact rating, w P is the weight coefficient of the Pth ecological environment impact factor, Q P is the ecological environmental impact score of the Pth ecological environmental impact factor, O is the number of ecological environmental impact factors, δ P is the amplitude coefficient of the Pth ecological environment impact factor, t is the time variable, T P is the period parameter of the Pth ecological environment impact factor, φ P is the phase offset of the Pth ecological environment influencing factor.

7. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 6, characterized in that: Step S4 includes: S41. Based on the comparison between the overall impact rating and the preset warning level threshold, the warning levels are divided into red warning, orange warning, yellow warning, and blue warning. The values ​​of red warning, orange warning, yellow warning, and blue warning correspond to [0.85E, E], [0.7E, 0.85E), [0.55E, 0.7E), and [0, 0.55E), respectively. S42. For red alerts, stop all mechanized construction operations, organize ecological and environmental experts to conduct on-site assessments, fence off and deal with the damaged areas in an emergency, initiate 24-hour environmental monitoring, formulate a restoration plan and implement it after expert verification, and resume construction after rectification is completed and passed acceptance; for orange alerts, suspend mechanized construction in the affected areas, organize environmental protection personnel to conduct on-site inspections, add temporary protection facilities and monitoring equipment, conduct regular environmental monitoring, adjust construction processes and working hours, and resume construction after confirming that the impact is under control; for yellow alerts, reduce the intensity of mechanical operations to below 70%, increase the frequency of watering and dust reduction, strengthen noise monitoring and control measures, record environmental conditions during each shift, and dynamically adjust construction parameters based on monitoring results; for blue alerts, maintain normal construction conditions, conduct routine environmental monitoring every day, implement on-site dust and noise reduction measures, record construction environmental impact data, and regularly evaluate and optimize construction plans.

8. A system for evaluating the ecological environment impact of mechanized construction of power transmission lines, characterized in that: The system comprises: Construction data collection module, used to collect basic data and construction parameters of the mechanized construction area of ​​the transmission line; An impact factor identification module is used to construct an ecological environment impact prediction model, identify the basic data and the construction parameters based on the ecological environment impact prediction model, and obtain the ecological environment impact factors of the mechanized construction on the ecological environment; The overall impact rating module is used to identify each ecological and environmental impact factor through the impact quantification assessment model, obtain the ecological and environmental impact score of each ecological and environmental impact factor, identify the ecological and environmental impact score of each ecological and environmental impact factor according to the comprehensive assessment model, and obtain the overall impact rating of mechanized construction on the ecological environment; The construction early warning processing module is used to record the overall impact rating and notify the management personnel, and take corresponding processing measures for the mechanized construction according to the overall impact rating.

9. An electronic device, characterized in that: include: at least one processor, at least one memory, a communication interface, and a bus; The processor, memory, and communication interface communicate with each other via the bus, the memory stores program instructions executable by the processor, and the processor calls the program instructions to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions enable a computer to implement the method according to any one of claims 1 to 7.

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