A method and system for evaluating the ecological environmental impact of power transmission line mechanized construction

Abstract

The application discloses a power transmission line mechanized construction ecological environment influence evaluation method and system, which comprises the following steps: collecting basic data and construction parameters of a power transmission line mechanized construction area; constructing an ecological environment influence prediction model, identifying the basic data and the construction parameters based on the ecological environment influence prediction model, and obtaining ecological environment influence factors; identifying each ecological environment influence factor through an influence quantification evaluation model, obtaining ecological environment influence scores of the ecological environment influence factors, identifying the ecological environment influence scores of the ecological environment influence factors according to a comprehensive evaluation model, and obtaining a total influence rating; recording the total influence rating and notifying a manager, and taking corresponding treatment measures on the mechanized construction according to the total influence rating. The application realizes dynamic evaluation, accurate prediction and effective control of ecological environment influence in a construction process, and improves the evaluation accuracy of the influence of the mechanized construction on the ecological environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission line engineering and water conservation, and particularly relates to a power transmission line mechanized construction ecological environment impact assessment method and system. BACKGROUND

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

[0003] The existing ecological environment assessment method mostly uses a static and linear assessment model, which cannot accurately reflect the dynamic change characteristics of the ecological environment impact, lacks comprehensive consideration of multi-dimensional environmental impact factors, the assessment result is one-sided, the model prediction ability is limited, and it is difficult to make forward-looking on potential environmental risks. SUMMARY

[0004] Therefore, the present application provides a power transmission line mechanized construction ecological environment impact assessment method and system, which solves the problem of lack of comprehensive consideration of multi-dimensional environmental impact factors and one-sided assessment result in the prior art.

[0005] The technical scheme of the present application is implemented as follows: In a first aspect, the present application provides a power transmission line mechanized construction ecological environment impact assessment method, comprising the following steps:

[0006] S1, collecting basic data and construction parameters of a power transmission line mechanized construction area;

[0007] S2, constructing an ecological environment impact prediction model, identifying the basic data and the construction parameters based on the ecological environment impact prediction model, and obtaining ecological environment impact factors caused by the impact of mechanized construction on the ecological environment;

[0008] S3, identifying each ecological environment impact factor through an impact quantification assessment model to obtain ecological environment impact scores of each ecological environment impact factor, identifying the ecological environment impact scores of each ecological environment impact factor according to a comprehensive assessment model, and obtaining an overall impact rating of the mechanized construction on the ecological environment;

[0009] S4, recording the overall impact rating and notifying the management personnel, and taking corresponding treatment measures for the mechanized construction according to the overall impact rating.

[0010] Preferably, on the basis of the above technical scheme, step S1 comprises:

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

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

[0013] Preferably, on the basis of the above technical scheme, step S2 comprises:

[0014] S21, preprocessing and feature extraction are performed on the basic data and the construction parameters, the preprocessing comprises data cleaning and data interpolation, feature extraction is performed through principal component analysis, and data standardization is used to unify the format of data, to obtain clean basic data and clean construction parameters after preprocessing;

[0015] S22, an original ecological environment impact prediction model is constructed based on a support vector machine algorithm, historical basic data and historical construction parameters are acquired, the historical basic data and the historical construction parameters are divided into a training set and a verification set, the original ecological environment impact prediction model is trained and tested through the training set and the verification set, and an ecological environment impact prediction model after training and evaluation is obtained;

[0016] S23, the clean basic data and the clean construction parameters are input into the ecological environment impact prediction model, to obtain an ecological environment impact factor of the impact of mechanized construction on the ecological environment, the ecological environment impact factor comprises a species habitat impact factor, a soil erosion risk factor and a normalized environment factor.

[0017] Preferably, on the basis of the above technical scheme, step S3 comprises:

[0018] S31, an impact quantification evaluation model is constructed based on a particle swarm optimization algorithm, particle swarm parameters are initialized, the particle swarm parameters comprise population size, iteration number and learning factor, a target function of the impact quantification evaluation model is constructed, the ecological environment impact factor is taken as an optimization target, the particle position and the particle velocity are updated through iteration, the model parameters of the impact quantification evaluation model are optimized, and an ecological environment impact score of each ecological environment impact factor is obtained;

[0019] S32, based on the bat algorithm to build a comprehensive evaluation model, initialize the bat population, set the pulse frequency and loudness parameters, build the fitness function of the comprehensive evaluation model, take the weight of each ecological environment influence factor as the optimization target, adjust the pulse frequency and update the bat position, optimize the weight coefficient of each ecological environment influence factor, and get the overall influence rating of the mechanical construction on the ecological environment.

[0020] On the basis of the above technical scheme, preferably, step S31 comprises:

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

[0022]

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

[0024] The calculation formula of the influence quantitative evaluation model is:

[0025]

[0026] Wherein, Q is the ecological environment influence score output by the influence quantitative evaluation model, λ I is the weight coefficient of the Ith species habitat influence factor, σ(·) is the Sigmoid activation function, z sI is the Ith species habitat influence factor value, w I is the weight coefficient of the Ith species habitat influence factor, N is the number of species habitat influence factors, β is the soil erosion risk factor adjustment coefficient, Var(zw) is the variance of the soil erosion risk factor z w , 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, D is the ecological environment distance range coefficient.

[0027] On the basis of the above technical scheme, preferably, step S32 comprises:

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

[0029]

[0030] Wherein, E is the overall impact rating, w P is the weight coefficient of the Pth ecological environment impact factor, Q P is the ecological environment impact score of the Pth ecological environment impact factor, O is the number of ecological environment 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 shift of the Pth ecological environment impact factor.

[0031] On the basis of the above technical scheme, preferably, step S4 comprises:

[0032] S41, based on the overall impact rating and the preset warning level threshold, the warning level is divided into red warning, orange warning, yellow warning and blue warning, and 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), [0, 0.55E) respectively;

[0033] S42, for red warning, stop all mechanized construction operation, organize ecological environment experts to assess on site, fence and emergency disposal in the damaged area, start 24-hour environmental monitoring, formulate repair scheme and implement after expert demonstration, resume construction after rectification is completed and passed acceptance; for orange warning, suspend the mechanized construction in the affected area, organize environmental protection personnel to check on site, add temporary protective facilities and monitoring equipment, conduct regular environmental monitoring, adjust the construction process and operation time, and resume construction after confirming that the influence is controlled; for yellow warning, reduce the mechanical operation intensity to below 70%, increase the frequency of water spraying to reduce dust, strengthen noise monitoring and control measures, record the environmental conditions of each shift, and dynamically adjust the construction parameters according to the monitoring results; for blue warning, maintain normal construction operation, carry out routine environmental monitoring every day, do well in on-site dust and noise reduction measures, record the construction environmental impact data, and regularly evaluate and optimize the construction scheme.

[0034] In a second aspect, the present application also provides a power transmission line mechanized construction ecological environment impact evaluation system, the system comprises:

[0035] A construction data acquisition module is used to acquire the basic data and construction parameters of the power transmission line mechanized construction area.

[0036] An impact factor identification module is configured 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 ecological environment impact factors of the mechanized construction on the ecological environment;

[0037] A general impact rating module is configured to identify each ecological environment impact factor through an impact quantification evaluation model, obtain ecological environment impact scores of the ecological environment impact factors, identify the ecological environment impact scores of the ecological environment impact factors according to a comprehensive evaluation model, and obtain a general impact rating of the mechanized construction on the ecological environment.

[0038] A construction early warning processing module is configured to record the general impact rating and notify a manager, and take corresponding processing measures for the mechanized construction according to the general impact rating.

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

[0040] The processor, the memory and the communication interface can communicate with each other through the bus, the memory stores program instructions executable by the processor, and the processor invokes the program instructions to implement the steps of the power transmission line mechanized construction ecological environment impact evaluation method.

[0041] In a fourth aspect, the present application further provides a computer readable storage medium, which stores computer instructions, and the computer instructions enable a computer to implement the steps of the power transmission line mechanized construction ecological environment impact evaluation method.

[0042] The power transmission line mechanized construction ecological environment impact evaluation method and system of the present application have the following beneficial effects compared with the prior art:

[0043] (1) The data basis is established by collecting basic data and construction parameters, the ecological environment impact prediction model is constructed by using the support vector machine algorithm, the ecological environment impact factors are identified, the ecological environment impact factors are quantitatively scored and the general impact rating is obtained based on the impact quantification evaluation model and the comprehensive evaluation model, the early warning and processing measures are implemented according to the general impact rating, the dynamic evaluation, accurate prediction and effective control of the ecological environment impact of the construction process are realized, and the accuracy of the evaluation is improved.

[0044] (2) By introducing the velocity update mechanism of the particle swarm optimization algorithm, setting the local-global balance inertia weight, cognitive learning factor and social learning factor, the optimal solution in the multi-dimensional space is searched more effectively, so that the particles can better balance the ability of local search and global search in the search space, improve the optimization efficiency, and thus realize the accurate quantitative evaluation of the ecological environment impact factor.

[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 impact factor is accurately optimized, the accuracy of the overall impact rating of the mechanized construction on the ecological environment is improved, and the dynamic changes of different ecological environment impact factors under different time and conditions can be more effectively reflected. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0047] Figure 1 A flow chart of a power transmission line mechanized construction ecological environment impact assessment method of the present application.

[0048] Figure 2 A structure diagram of a power transmission line mechanized construction ecological environment impact assessment system of the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0050] Please refer to Figure 1 The present application provides a power transmission line mechanized construction ecological environment impact assessment method, comprising the following steps:

[0051] S1, collecting basic data and construction parameters of a power transmission line mechanized construction area;

[0052] S2, constructing an ecological environment impact prediction model, identifying the basic data and the construction parameters based on the ecological environment impact prediction model, and obtaining ecological environment impact factors caused by the impact of mechanized construction on the ecological environment;

[0053] S3, identifying each ecological environment impact factor by affecting a quantitative evaluation model, obtaining an ecological environment impact score of each ecological environment impact factor, identifying the ecological environment impact score of each ecological environment impact factor according to a comprehensive evaluation model, and obtaining an overall impact rating of the mechanized construction on the ecological environment;

[0054] S4, recording the overall impact rating and notifying the management personnel, and taking corresponding treatment measures for the mechanized construction according to the overall impact rating.

[0055] Specifically, the embodiment establishes a data base by collecting basic data and construction parameters, constructs an ecological environment impact prediction model by using a support vector machine algorithm, identifies ecological environment impact factors, quantitatively scores each ecological environment impact factor based on an impact quantitative evaluation model and a comprehensive evaluation model, and obtains an overall impact rating, implements early warning and treatment measures according to the overall impact rating, realizes dynamic evaluation, accurate prediction and effective control of the ecological environment impact in the construction process, and improves the accuracy of the evaluation.

[0056] Step S1 includes:

[0057] The basic data includes vegetation coverage percentage, soil moisture and precipitation, the vegetation distribution map of the region is obtained by satellite remote sensing technology, and the vegetation coverage percentage is obtained by using an image recognition processing algorithm to identify the vegetation distribution map of the region, the soil moisture of the construction area is obtained by real-time monitoring through the soil moisture sensor arranged in the construction area, and the precipitation of the construction area is counted based on the portable rain gauge;

[0058] The construction parameters include construction area, operation frequency and shortcut length, the construction area is obtained by on-site measurement of the construction area, the operation frequency is obtained by recording the operation frequency, and the shortcut length is obtained by measuring the shortcut set up during the mechanized construction through the GPS positioning system.

[0059] Specifically, the vegetation coverage percentage is obtained by satellite remote sensing technology and image recognition algorithm, realizing large-area and high-efficiency vegetation data collection, the soil moisture is monitored in real time by using the soil moisture sensor, ensuring the timeliness and accuracy of the data, the precipitation is counted by using the portable rain gauge, ensuring the reliability of the precipitation data, the construction area is measured on site to ensure the accuracy of the construction range data, the operation frequency is obtained by recording the operation frequency to realize the quantification of the construction intensity, and the shortcut length is measured by using the GPS positioning system to provide accurate spatial data. The embodiment realizes automatic collection of multi-dimensional data, improves the efficiency and accuracy of data collection.

[0060] Step S2 includes:

[0061] S21, preprocessing and feature extraction are performed on the basic data and the construction parameters, the preprocessing includes data cleaning and data interpolation, feature extraction is performed by principal component analysis, and data standardization method is used to unify the format of the data, to obtain clean basic data and clean construction parameters after preprocessing;

[0062] S22, an original ecological environment impact prediction model is constructed based on a support vector machine algorithm, historical basic data and historical construction parameters are obtained, the historical basic data and the historical construction parameters are divided into a training set and a verification set, the original ecological environment impact prediction model is trained and tested through the training set and the verification set, and a trained and evaluated ecological environment impact prediction model is obtained;

[0063] S23, the clean basic data and the clean construction parameters are input into the ecological environment impact prediction model, to obtain an ecological environment impact factor of the impact of mechanized construction on the ecological environment, the ecological environment impact factor includes a species habitat impact factor, a soil erosion risk factor and a normalized environment factor.

[0064] Specifically, the embodiment removes noise and outliers in the data by cleaning, fills in missing data by interpolation, improves data quality, uses principal component analysis for feature extraction, reduces data complexity by dimension reduction, retains the most important features in the data, reduces data dimension, reduces computational complexity, and converts the data to a unified scale by standardization method, eliminating the influence 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] Wherein, x i and x j are the i-th sample and the j-th sample of the ecological environment impact prediction model input data, exp(·) is an exponential function, γ is a kernel parameter, K(x i ,x j ) is the similarity of sample x i and sample x j in the feature space;

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

[0069]

[0070] Wherein, 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 kernel parameters, 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, including population size, number of iterations, and a learning factor, constructing an objective function for 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 particle positions and particle velocities, and obtaining an ecological environmental impact score for 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, build 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 the particle swarm optimization algorithm, and through iterative optimization of model parameters, 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 quantitative assessment of environmental impact.

[0079] The embodiment adopts a bat algorithm, sets pulse frequency and loudness parameters, constructs a fitness function to optimize weight coefficients of each influencing factor, and realizes comprehensive trade-off of different ecological environment influencing factors.

[0080] The influence quantitative evaluation model and the comprehensive evaluation model are matched to form a complete evaluation system, realize automation of the evaluation process, and improve the reliability of the evaluation results.

[0081] The step S31 comprises:

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

[0083]

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

[0085] The calculation formula of the influence quantitative evaluation model is:

[0086]

[0087] wherein, Q is an ecological environment influence score output by the influence quantitative evaluation model, λ I is a weight coefficient of the Ith species habitat influencing factor, σ(·) is a Sigmoid activation function, z sI is the Ith species habitat influencing factor value, w I is a weight coefficient of the Ith species habitat influencing factor, N is the number of species habitat influencing factors, β is a soil erosion risk factor adjustment coefficient, Var(zw) is the variance of the soil erosion risk factor z w , η is an environmental factor adjustment coefficient, f J is the Jth normalized environmental factor value, w J is a weight coefficient of the Jth normalized environmental factor, M is the number of normalized environmental factors, and D is an ecological environment distance range coefficient.

[0088] Specifically, the embodiment introduces a particle swarm optimization algorithm to search for an optimal solution in a multi-dimensional space. The local-global balance inertia weight, cognitive learning factor and social learning factor are introduced into the particle swarm speed update calculation formula, so that the 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] wherein E is the overall impact rating, w P is the weight coefficient of the Pth ecological environment impact factor, Q P is the ecological environment impact score of the Pth ecological environment impact factor, O is the number of ecological environment impact factors, δ P is the amplitude coefficient of the Pth ecological environment impact factor, t is a time variable, T P is the period parameter of the Pth ecological environment impact factor, φ P is the phase shift of the Pth ecological environment impact factor.

[0093] Specifically, the embodiment sets the maximum and minimum values of the pulse frequency to control the search range and accuracy of the bat algorithm. The adjustment of the pulse frequency enables the algorithm to dynamically balance between global search and local search, improving the search efficiency. The position update formula combines the current global optimal solution, so that each iteration can be adjusted towards the optimal solution. Through iterative updating of the speed and position, the stability is enhanced. The introduction of adaptive adjustment parameters for loudness and pulse emission rate enables dynamic adjustment of the search strategy according to the current search state, improving the adaptability in 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 level is divided into red warning, orange warning, yellow warning and blue warning, and 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), [0, 0.55E) respectively.

[0096] S42, for red warning, stop all mechanized construction operation, organize ecological environment experts to assess, fence and emergency disposal to the damaged area, start 24-hour environmental monitoring, formulate repair scheme and implement after expert demonstration, resume construction after rectification is completed and passes acceptance; for orange warning, suspend the mechanical construction in the affected area, organize environmental protection personnel to check on site, add temporary protective facilities and monitoring equipment, conduct environmental monitoring regularly, adjust construction technology and operation time, and resume construction after confirming that the influence is controlled; for yellow warning, reduce the mechanical operation intensity to below 70%, increase the water spraying frequency, strengthen noise monitoring and control measures, record the environmental conditions of each shift, and dynamically adjust the construction parameters according to the monitoring results; for blue warning, keep normal construction operation, carry out routine environmental monitoring every day, do well in on-site dust and noise reduction measures, record the construction environmental influence data, and regularly evaluate and optimize the construction scheme.

[0097] Specifically, the 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 warning, formulates differentiated treatment measures for different warning levels, and forms a complete warning-response chain.

[0098] For red warning: through immediate shutdown and expert evaluation, prevent further deterioration of the ecological environment, 24-hour environmental monitoring ensures timely discovery of problems, and expert evaluation of repair scheme ensures the scientific nature of the treatment measures.

[0099] For orange warning, reduce environmental impact by temporarily suspending construction in some areas, add protective and monitoring equipment to strengthen prevention and control, and realize active control by adjusting construction technology.

[0100] For yellow warning, preventive control is realized by reducing operation intensity, monitoring frequency is increased to provide data support, and construction parameters are dynamically adjusted to keep the influence controllable.

[0101] For blue warning, form a basis for data accumulation through normalized monitoring, and realize continuous improvement by optimizing the construction scheme.

[0102] The embodiment realizes early identification and warning of environmental risks, establishes a hierarchical response and disposal mechanism, forms a closed-loop management system, and improves the pertinence of ecological environment protection.

[0103] Please refer to Figure 2 The application also provides a power transmission line mechanized construction ecological environment impact assessment system, which comprises:

[0104] A construction data acquisition module is configured to acquire basic data and construction parameters of a power transmission line mechanized construction area.

[0105] An impact factor identification module is configured 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 ecological environment impact factors of the mechanical construction on the ecological environment;

[0106] A general impact rating module is configured to identify each ecological environment impact factor through an impact quantitative evaluation model, obtain ecological environment impact scores of the ecological environment impact factors, identify the ecological environment impact scores of the ecological environment impact factors according to a comprehensive evaluation model, and obtain a general impact rating of the mechanical construction on the ecological environment.

[0107] A construction early warning processing module is configured to record the general impact rating and notify a management personnel, and take corresponding processing measures on the mechanical construction according to the general impact rating.

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

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

[0110] The general impact rating module realizes quantitative evaluation and comprehensive evaluation of the impact factors, and improves the accuracy of the rating result through a double evaluation mechanism.

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

[0112] The power transmission line mechanical construction ecological environment impact evaluation system of the embodiment realizes automation of the evaluation process, forms a complete data acquisition-identification-evaluation-processing chain, and improves the overall efficiency of the ecological environment impact evaluation.

[0113] The application further discloses an electronic device, which comprises at least one processor, at least one memory, a communication interface and a bus: wherein the processor, the memory and the communication interface complete communication 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 a power transmission line mechanical construction ecological environment impact evaluation method.

[0114] The application further discloses a computer readable storage medium which stores computer instructions, and the computer instructions make the computer realize all or part of steps of the power transmission line mechanized construction ecological environment influence assessment method.

[0115] The above merely describes preferred embodiments of the application, but should not be used to limit the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application should be included in the protection scope of the application.

Claims

1. A method for assessing the ecological and environmental 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. Constructing an ecological and environmental impact prediction model, identifying the basic data and the construction parameters based on the ecological and environmental impact prediction model, and obtaining ecological and environmental impact factors of the impact of mechanized construction on the ecological environment; S3. Identify each ecological and environmental impact factor through the impact quantification assessment model and 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 based on the comprehensive assessment model to obtain the overall impact rating of mechanized construction on the ecological environment. S4. Record the overall impact rating and notify management personnel, and take corresponding treatment measures for mechanized construction based on the overall impact rating; Step S1 includes: The basic data includes vegetation coverage percentage, soil moisture and precipitation. The regional vegetation distribution map is obtained through satellite remote sensing technology, and the regional vegetation distribution map is identified using an image recognition processing algorithm to obtain the vegetation coverage percentage. Soil moisture sensors are installed in the construction area to monitor the soil moisture in the construction area in real time, and the precipitation in the construction area is calculated using 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 using a GPS positioning system. Step S3 includes: S31. Constructing an impact quantification assessment model based on a particle swarm optimization algorithm, initializing particle swarm parameters, including population size, number of iterations, and a learning factor, constructing an objective function for 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 particle positions and particle velocities, and obtaining an ecological environmental impact score for 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, build 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.

2. The method for evaluating the ecological environment impact of mechanized construction of a transmission line according to claim 1, characterized in that: Step S2 includes: S21. Preprocessing and feature extraction are performed on the basic data and the construction parameters, wherein the preprocessing includes data cleaning and data interpolation, feature extraction by principal component analysis, and unification of the data format using a data standardization method to obtain preprocessed cleaning basic data and cleaning construction parameters; S22. Construct an original ecological and environmental 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 and environmental impact prediction model using the training set and the validation set, and obtain a trained and evaluated ecological and environmental impact prediction model; S23. Input the cleaning basic data and cleaning construction parameters into the ecological environment impact prediction model to obtain the predicted ecological environment impact factors of the impact of 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.

3. The method for evaluating the ecological environment impact of mechanized construction of a power transmission line according to claim 1, wherein: 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 oth particle at the pth iteration in the dth dimension, is the local-global balance inertia weight, and They are cognitive learning factors and social learning factors, and are the first random number and the second random number between 0 and 1 respectively, is the historical optimal position of the oth particle at the pth iteration in the dth dimension, is the current position of the oth particle at the pth iteration of the dth dimension, is the global optimal position of the particle swarm at the p-th iteration in the d-th dimension; The calculation formula of the impact quantitative assessment model is: ； Among them, Q is the ecological environmental impact score output by the impact quantitative assessment model, is the weight coefficient of the habitat impact factor of species I, is the Sigmoid activation function, is the habitat impact factor value of species I, is the weight coefficient of the species habitat influencing factor, N is the number of species habitat influencing factors, is the adjustment coefficient of soil and water loss risk factor, Soil and water loss risk factors The variance of is the environmental factor adjustment coefficient, is the J-th normalized environmental factor value, 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.

4. The method for evaluating the ecological environment impact of mechanized construction of a power transmission line according to claim 3, wherein: Step S32 includes: The calculation formula of the comprehensive evaluation model is: ； Among them, E is the overall impact rating, is the weight coefficient of the Pth ecological environment impact factor, is the ecological environmental impact score of the Pth ecological environmental impact factor, O is the number of ecological environmental impact factors, is the amplitude coefficient of the Pth ecological environment impact factor, t is the time variable, is the period parameter of the Pth ecological environment impact factor, is the phase offset of the Pth ecological environment impact factor.

5. The method for evaluating the ecological environment impact of mechanized construction of power transmission lines according to claim 4, characterized in that: Step S4 includes: S41. Based on the comparison between the overall impact rating and the preset warning level threshold, the warning level is 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 、 、 、 ; S42. For red alerts, stop all mechanized construction operations, organize ecological and environmental experts to conduct on-site assessments, fence off and take emergency measures in the damaged areas, initiate 24-hour environmental monitoring, formulate a restoration plan and implement it after expert review, and resume construction after the rectification is completed and passed the acceptance inspection; 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 operation 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.

6. A system for assessing the ecological and environmental impact of mechanized construction of power transmission lines, characterized in that: The system comprises: Construction data acquisition 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 impact of 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, and obtain the overall impact rating of mechanized construction on the ecological environment based on the ecological and environmental impact score of each ecological and environmental impact factor identified by the comprehensive assessment model; A construction early warning processing module is used to record the overall impact rating and notify management personnel to take corresponding processing measures for mechanized construction based on the overall impact rating; The basic data and construction parameters collected by the construction data collection module include: The basic data includes vegetation coverage percentage, soil moisture and precipitation. The regional vegetation distribution map is obtained through satellite remote sensing technology, and the regional vegetation distribution map is identified using an image recognition processing algorithm to obtain the vegetation coverage percentage. Soil moisture sensors are installed in the construction area to monitor the soil moisture in the construction area in real time, and the precipitation in the construction area is calculated using 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 using a GPS positioning system. The overall impact rating module obtains the overall impact rating through the following steps: S31. Constructing an impact quantification assessment model based on a particle swarm optimization algorithm, initializing particle swarm parameters, including population size, number of iterations, and a learning factor, constructing an objective function for 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 particle positions and particle velocities, and obtaining an ecological environmental impact score for 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, build 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.

7. 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 that can be executed by the processor, and the processor calls the program instructions to implement the method according to any one of claims 1 to 5.

8. 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 5.

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