Dynamic grading evaluation method and system for ecological influence of plateau highway construction and operation

Abstract

The invention provides a dynamic grading evaluation method and system for ecological influence of plateau highway construction and operation, and relates to the technical field of ecological evaluation. In order to solve the problems that existing linear engineering construction such as plateau highways has great negative effects on the ecological environment and is lack of quantitative evaluation standards for the whole-process influence degree, the method is based on a construction period prediction score, an operation period prediction score and a preset influence grading standard; and determining the influence level of the plateau highway in the construction period and the operation period on the ecological environment. Through the scientific method and technical means, the level of influence on the ecological environment along the highway in the plateau highway construction and operation process is dynamically analyzed and evaluated, so that level-to-level management is carried out according to the evaluation result, it is ensured that the negative influence on the ecological environment is reduced to the maximum extent while the highway construction meets the traffic demand, and the construction efficiency is improved. And the collaborative development of pollution reduction and carbon reduction is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological assessment, and in particular to a method and system for dynamically grading and assessing the ecological impact of plateau highway construction and operation. Background Art

[0002] Plateau refers to areas with an altitude of more than 1,000 meters and a relative height of more than 500 meters, and is a relatively flat or undulating vast area. Due to the fragility of plateau ecology, the construction of linear projects such as highways has a significant negative impact on the ecological environment. There is no quantitative assessment standard for the degree of impact, and the existing standards do not combine the requirements of "pollution reduction and carbon reduction", which is not suitable for the current implementation of systematic protection and improvement of construction methods for the ecological environment along plateau highways.

[0003] Therefore, there is an urgent need to develop a dynamic grading assessment method and system for the ecological impact of plateau highway construction and operation, which can dynamically analyze and assess the impact level of plateau highway construction and operation on the ecological environment along the highway, so as to carry out graded management according to the assessment results. Summary of the invention

[0004] In view of the fact that the existing plateau highway and other linear engineering construction have a great negative impact on the ecological environment and lack a quantitative assessment standard for the degree of impact throughout the entire process, the first aspect of the present invention proposes a dynamic hierarchical assessment method for the ecological impact of plateau highway construction and operation, which specifically includes the following steps: Step S1, constructing a green highway evaluation system, which includes seven evaluation factors, namely green concept factor, ecological protection factor, resource conservation factor, energy-saving and low-carbon factor, safety and intelligence factor, quality construction factor and warm service factor. Each of the seven evaluation factors corresponds to an initial weight, and the weight of each evaluation factor is dynamically adjusted according to the whole process stage and geographical conditions, wherein the whole process stage includes the construction period and the operation period; Step S2, establishing multiple assessment factors for each evaluation factor, the assessment factors including construction period assessment factors and operation period assessment factors, the construction period assessment factors are used to assess the impact of highway construction on ecology, and the operation period assessment factors are used to assess the impact of highway operation on ecology; Step S3, constructing a construction period score prediction model and an operation period score prediction model; Step S4, using the actual performance of the construction period scores and construction period assessment factors of historical highway projects to train the construction period score prediction model, and using the actual performance of the operation period scores and operation period assessment factors of historical highway projects to train the operation period score prediction model; Step S5, inputting the actual performance corresponding to the construction period assessment factor of the current highway project into the construction period score prediction model to generate a construction period prediction score, and inputting the actual performance corresponding to the operation period assessment factor of the current highway project into the operation period score prediction model to generate an operation period prediction score; Step S6, based on the predicted score during the construction period and the predicted score during the operation period and the preset impact classification standard, determine the impact level of the plateau highway on the ecological environment during the construction period and the operation period.

[0005] In combination with the first aspect, in some implementations of the first aspect, in step S1, dynamically adjusting the weight of each evaluation factor according to the whole process stage includes: During the construction period, the weights of the energy-saving and low-carbon factor, the safety and intelligence factor, and the quality construction factor are greater than their respective initial weights, and the increase ratio is that the energy-saving and low-carbon factor increases to k1 times its initial weight, the safety and intelligence factor increases to k2 times its initial weight, and the quality construction factor increases to k3 times its initial weight, where 1<k1≤1.5, 1<k2≤1.5, 1<k3≤1.5; During the operation period, the weights of the warm service factor, energy-saving and low-carbon factor, and ecological protection factor are greater than their respective initial weights, and the increase ratio is that the warm service factor increases to k4 times its initial weight, the energy-saving and low-carbon factor increases to k5 times its initial weight, and the ecological protection factor increases to k6 times its initial weight, among which 1<k4≤1.5, 1<k5≤1.5, and 1<k6≤1.5.

[0006] In combination with the first aspect, in some implementations of the first aspect, the geographical conditions include high altitude areas and fragile ecological environment areas, and in step S1, the weights of the evaluation factors are dynamically adjusted according to the geographical conditions, including: In high altitude areas, the weights of energy conservation and low carbon factor, ecological protection factor and quality construction factor are greater than their respective initial weights, and the increase ratio is that the energy conservation and low carbon factor increases to k7 times its initial weight, the ecological protection factor increases to k8 times its initial weight, and the quality construction factor increases to k9 times its initial weight, where 1<k7≤1.5, 1<k8≤1.5, 1<k9≤1.5; In fragile ecological environment areas, the weights of ecological protection factor, resource conservation factor and warm service factor are greater than their corresponding initial weights, and the increase ratio is that the ecological protection factor increases to k10 times its initial weight, the resource conservation factor increases to k11 times its initial weight, and the warm service factor increases to k12 times its initial weight, among which 1<k10≤1.5, 1<k11≤1.5, and 1<k12≤1.5.

[0007] In combination with the first aspect, in some implementations of the first aspect, in step S3, the formulas of the construction period score prediction model and the operation period score prediction model are: ,in, is the dynamic weight of the ith evaluation factor, is the weight of the jth assessment factor in the i-th evaluation factor, is the score of the jth assessment factor in the i-th evaluation factor, is the number of factors under consideration in the i-th evaluation factor.

[0008] In combination with the first aspect, in some implementations of the first aspect, the initial weight of the resource conservation factor is greater than the initial weight of the energy conservation and low carbon factor, and the initial weight of the energy conservation and low carbon factor is greater than the initial weight of the ecological protection factor.

[0009] In combination with the first aspect, in some implementations of the first aspect, in step S1, the dynamic adjustment of the weight is based on the following formula: ,in, is the adjusted weight of the ith evaluation factor, is the initial weight of the ith evaluation factor, is the importance coefficient of the ith evaluation factor under the current period and geographical conditions, is the importance coefficient of the jth evaluation factor under the current period and geographical conditions, and Determined through environmental data analysis and expert evaluation.

[0010] In conjunction with the first aspect, in some implementations of the first aspect, the weight of the inspection factor Determined by analytic hierarchy process and satisfying: ,in, is the weight of the jth assessment factor in the ith evaluation factor.

[0011] In a second aspect, the present invention provides a dynamic hierarchical assessment system for the ecological impact of plateau highway construction and operation. The assessment system adopts the assessment method provided in any of the above embodiments and includes the following modules: The first building block is used to construct a green highway evaluation system. The evaluation system includes seven evaluation factors, namely, green concept factor, ecological protection factor, resource conservation factor, energy-saving and low-carbon factor, safety and intelligence factor, quality construction factor and warm service factor. Each of the seven evaluation factors corresponds to an initial weight, and the weight of each evaluation factor is dynamically adjusted according to the whole process stage and geographical conditions. Among them, the whole process stage includes the construction period and the operation period; A setting module is connected to the first building module and is used to set up multiple assessment factors for each evaluation factor, wherein the assessment factors include a construction period assessment factor and an operation period assessment factor. The construction period assessment factor is used to assess the impact of highway construction on ecology, and the operation period assessment factor is used to assess the impact of highway operation on ecology; The second construction module is connected to the establishment module and is used to construct a construction period score prediction model and an operation period score prediction model; A training module, connected to the second building module, for training the construction period score prediction model using the actual performance corresponding to the construction period score and the construction period assessment factor of the historical highway project, and for training the operation period score prediction model using the actual performance corresponding to the operation period score and the operation period assessment factor of the historical highway project; A generation module, connected to the training module, is used to input the actual performance corresponding to the construction period assessment factor of the current highway project into the construction period score prediction model to generate a construction period prediction score, and input the actual performance corresponding to the operation period assessment factor of the current highway project into the operation period score prediction model to generate an operation period prediction score; The determination module is connected to the generation module and is used to determine the impact level of the plateau highway on the ecological environment during the construction period and the operation period based on the construction period prediction score and the operation period prediction score and the preset impact classification standard.

[0012] In a third aspect, the present invention provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the evaluation method provided in any of the above embodiments.

[0013] In a fourth aspect, the present invention provides an electronic device, the electronic device comprising: processor; a memory for storing processor-executable instructions; The processor is used to execute the evaluation method provided in any of the above embodiments.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: First, quantitative assessment of ecological impacts throughout the entire process: by constructing a green highway assessment system covering both the construction and operation periods, a quantitative assessment of the ecological impacts of plateau highways from construction to operation throughout the entire process is achieved, solving the problem of the lack of quantitative assessment standards for the degree of impact throughout the entire process in the prior art, making the assessment of ecological impacts more comprehensive and scientific. Second, dynamic weight adjustment: the weights of each assessment factor are dynamically adjusted according to the entire process stage and geographical conditions, so that the assessment results can adapt to the needs of different stages and different geographical environments, and improve the flexibility and accuracy of the assessment. Third, collaborative assessment of the construction period and the operation period: by establishing construction period inspection factors and operation period inspection factors, and constructing construction period score prediction models and operation period score prediction models respectively, a collaborative assessment of the construction period and the operation period is achieved. This assessment method enables the assessment during the construction period to fully take into account the impact on the ecology during the future operation period, so that corresponding ecological protection measures can be taken during the construction period to reduce the negative ecological impacts during the future operation period. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 The figure is a flow chart of a method for dynamic grading assessment of ecological impacts of plateau highway construction and operation provided by an embodiment of the present invention.

[0017] Figure 2 Shown is a schematic diagram of the structure of a dynamic grading assessment system for ecological impact of plateau highway construction and operation provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. 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 belong to the scope of protection of the present invention.

[0019] The specific implementation modes of the present invention are described below.

[0020] In view of the fact that the construction of existing linear projects such as plateau highways has a significant negative impact on the ecological environment and there is a lack of quantitative assessment standards for the impact of the entire process, the present invention proposes a dynamic grading assessment method for the ecological impact of plateau highway construction and operation, which can effectively solve the problem of the lack of full-process quantitative assessment standards in the existing technology, significantly reduce the negative impact of plateau highway construction and operation on the ecological environment, and promote the green construction and sustainable development of plateau highways.

[0021] Example 1 like Figure 1 As shown, the present invention proposes a dynamic hierarchical assessment method for the ecological impact of plateau highway construction and operation, which specifically includes the following steps: Step S1, constructing a green highway evaluation system, the evaluation system includes seven evaluation factors, which are green concept factor, ecological protection factor, resource conservation factor, energy saving and low carbon factor, safety and intelligence factor, quality construction factor and warm service factor. Each of the seven evaluation factors corresponds to an initial weight, and the weight of each evaluation factor is dynamically adjusted according to the whole process stage and geographical conditions. Among them, the whole process stage includes the construction period and the operation period.

[0022] Step S2, establishing multiple assessment factors for each evaluation factor, the assessment factors include construction period assessment factors and operation period assessment factors, the construction period assessment factors are used to assess the impact of highway construction on ecology, and the operation period assessment factors are used to assess the impact of highway operation on ecology.

[0023] Exemplarily, the assessment factors established for the green concept factor include: strategy and culture; the assessment factors established for the ecological protection factor include: ecological restoration, landscape integration, water and soil environment protection, air environment protection and sound and light environment protection; the assessment factors established for the resource conservation factor include: land resource conservation, intensive utilization and water resource conservation, intensive utilization and material saving and material recycling; the assessment factors established for the energy-saving and low-carbon factor include: energy conservation and utilization, clean energy utilization and carbon emission control; the assessment factors established for the safety and intelligence factor include: intelligent transportation system, safety facilities and traffic organization; the assessment factors established for the quality construction factor include: quality improvement, construction standardization, management informatization, preventive maintenance and new construction management technologies; the assessment factors established for the warm service factor include: humanized service and green highway facilities.

[0024] Step S3, constructing a construction period score prediction model and an operation period score prediction model.

[0025] Among them, the construction period score prediction model is used to predict the ecological impact score during the highway construction period, and the operation period score prediction model is used to predict the ecological impact score during the highway operation period.

[0026] Step S4, using the actual performance of the construction period scores and construction period assessment factors of historical highway projects to train the construction period score prediction model, and using the actual performance of the operation period scores and operation period assessment factors of historical highway projects to train the operation period score prediction model.

[0027] Exemplarily, taking carbon emission control as an example to illustrate the actual performance corresponding to the examination factors, the greater the reduction rate of carbon dioxide emissions, the more points are awarded; conversely, the smaller the reduction rate of carbon dioxide emissions, the smaller the points are awarded.

[0028] Step S5, input the actual performance corresponding to the construction period assessment factors of the current highway project into the construction period score prediction model to generate a construction period prediction score, and input the actual performance corresponding to the operation period assessment factors of the current highway project into the operation period score prediction model to generate an operation period prediction score.

[0029] Step S6, based on the predicted score during the construction period and the predicted score during the operation period and the preset impact classification standard, determine the impact level of the plateau highway on the ecological environment during the construction period and the operation period.

[0030] Among them, the impact level during the construction period is used to guide ecological protection measures during highway construction, and the impact level during the operation period is used to guide ecological protection measures during highway operation, so that the evaluation results have continuity, and the evaluation during the construction period can take into account the impact on the ecology during the future operation period.

[0031] For example, taking the full score of 100 points as an example, the preset impact classification standard can be: if the predicted score is 80 points and above, the impact level is classified as a slight impact; if the predicted score is between 60 points (inclusive) and 79 points (inclusive), the impact level is classified as a moderate impact; if the predicted score is below 60 points, the impact level is classified as a severe impact.

[0032] For example, if the assessment results show a minor impact, the current construction and management strategy can be maintained; if it is a moderate or severe impact, specific improvement measures need to be proposed, such as optimizing the design plan, strengthening construction environmental protection measures, and increasing ecological restoration projects. For example, in severe cases, it may be recommended to redesign certain road sections to reduce interference with the ecosystem, or to introduce more advanced environmental protection technologies and equipment.

[0033] The present invention uses scientific methods and technical means (steps S1 to S6) to dynamically analyze and evaluate the impact level of plateau highway construction and operation on the ecological environment along the highway, so as to carry out hierarchical management according to the evaluation results, to ensure that highway construction can meet traffic needs while minimizing the negative impact on the ecological environment and achieving coordinated development of "pollution reduction and carbon reduction".

[0034] In some implementations, in step S1, the weights of the evaluation factors are dynamically adjusted according to the stages of the entire process, including: During the construction period, the weights of the energy-saving and low-carbon factor, the safety and intelligence factor, and the quality construction factor are greater than their respective initial weights, and the increase ratio is that the energy-saving and low-carbon factor increases to k1 times its initial weight, the safety and intelligence factor increases to k2 times its initial weight, and the quality construction factor increases to k3 times its initial weight, where 1<k1≤1.5, 1<k2≤1.5, 1<k3≤1.5; During the operation period, the weights of the warm service factor, energy-saving and low-carbon factor, and ecological protection factor are greater than their respective initial weights, and the increase ratio is that the warm service factor increases to k4 times its initial weight, the energy-saving and low-carbon factor increases to k5 times its initial weight, and the ecological protection factor increases to k6 times its initial weight, among which 1<k4≤1.5, 1<k5≤1.5, and 1<k6≤1.5.

[0035] Dynamically adjusting the weights of each evaluation factor throughout the entire process (including the construction and operation periods) can more accurately reflect the key concerns at different stages and optimize resource allocation and management strategies.

[0036] During the construction period, the effectiveness of energy conservation and emission reduction measures is crucial to the long-term impact of the project. By increasing the weight of this factor, we can ensure that the project fully considers environmental protection and sustainability during the construction process. Safety management and intelligent application during the construction period are key to ensuring worker safety and improving construction efficiency. Increasing the weight of this factor will help strengthen safety monitoring and technology application at the construction site. Quality control during the construction period directly affects the service life and performance of the highway. Increasing the weight of this factor can ensure that the construction quality meets high standards.

[0037] During the operation period, user experience and service quality become particularly important. Increasing the weight of this factor can encourage operators to improve service levels and provide better user satisfaction. Although energy conservation and low carbon have been valued during the construction period, they are equally important during the operation period, because energy consumption and emissions in daily operations are also important factors affecting the environment. Increasing the weight of this factor will help to continuously promote green operations. Ecological protection measures during the operation period are crucial to maintaining the stability and biodiversity of the ecosystem. Increasing the weight of this factor can ensure that the project continues to pay attention to environmental protection during operation.

[0038] In some implementations, the geographical conditions include high altitude areas and fragile ecological environment areas. In step S1, the weights of the evaluation factors are dynamically adjusted according to the geographical conditions, including: In high altitude areas, the weights of energy conservation and low carbon factor, ecological protection factor and quality construction factor are greater than their respective initial weights, and the increase ratio is that the energy conservation and low carbon factor increases to k7 times its initial weight, the ecological protection factor increases to k8 times its initial weight, and the quality construction factor increases to k9 times its initial weight, where 1<k7≤1.5, 1<k8≤1.5, 1<k9≤1.5; In fragile ecological environment areas, the weights of ecological protection factor, resource conservation factor and warm service factor are greater than their corresponding initial weights, and the increase ratio is that the ecological protection factor increases to k10 times its initial weight, the resource conservation factor increases to k11 times its initial weight, and the warm service factor increases to k12 times its initial weight, among which 1<k10≤1.5, 1<k11≤1.5, and 1<k12≤1.5.

[0039] Dynamically adjusting the weights of each assessment factor according to geographical conditions can more accurately reflect the focus of attention on ecological impacts during highway construction and operation under different geographical conditions.

[0040] Climate conditions in high-altitude areas are usually harsh, and energy consumption is high. Increasing the weight of energy-saving and low-carbon factors will help promote the use of more efficient energy management and renewable energy technologies, thereby reducing carbon emissions. Ecosystems in high-altitude areas are usually more fragile, with rich biodiversity but easily disturbed. Increasing the weight of ecological protection factors can ensure that projects take more stringent ecological protection measures, such as vegetation restoration and wildlife passage setting, to reduce damage to the ecological environment. Construction in high-altitude areas is more difficult, geological conditions are complex, and climate is changeable. Increasing the weight of quality construction factors can encourage projects to adopt more advanced construction technologies and management methods to ensure the quality and stability of the project.

[0041] The ecosystem in fragile ecological environment zones is very sensitive and easily disturbed by the outside world. Increasing the weight of ecological protection factors can ensure that projects take effective ecological protection measures to prevent further degradation of the ecosystem. Resources in fragile ecological environment zones are limited. Increasing the weight of resource conservation factors can encourage projects to adopt a circular economy model, maximize the use of existing resources, and reduce resource waste. In fragile ecological environment zones, the quality of life may be affected. Increasing the weight of warm service factors can encourage projects to provide better services and support, such as humanized facility configuration, information service systems, etc., to improve living conditions.

[0042] In some implementations, in step S3, the formulas of the construction period score prediction model and the operation period score prediction model are: ,in, is the dynamic weight of the ith evaluation factor, is the weight of the jth assessment factor in the i-th evaluation factor, is the score of the jth assessment factor in the i-th evaluation factor, is the number of factors under consideration in the i-th evaluation factor.

[0043] The score prediction model can comprehensively and systematically evaluate the impact of highway construction projects on the ecological environment by integrating multiple evaluation factors and their corresponding inspection factors. Each evaluation factor and inspection factor has its specific weight and score, making the evaluation results more comprehensive and accurate.

[0044] By continuously collecting new data and training the model, the accuracy and reliability of the model can be gradually improved, making it better adaptable to future changes in demand.

[0045] In some implementations, the initial weight of the resource conservation factor is greater than the initial weight of the energy conservation and low carbon factor, and the initial weight of the energy conservation and low carbon factor is greater than the initial weight of the ecological protection factor.

[0046] The higher initial weight of the resource conservation factor means that more emphasis is placed on the effective use of resources in the early stages of the project, which helps ensure that resource waste is minimized and resource utilization is improved during the construction process.

[0047] Although the weight of the resource conservation factor is high, the weight of the energy conservation and low carbon factor is also relatively high, which shows that the project not only focuses on current resource utilization, but also attaches importance to long-term environmental friendliness. The energy conservation and low carbon factor emphasizes reducing carbon emissions and improving energy efficiency, which is essential for addressing climate change and achieving sustainable development goals.

[0048] Although the initial weight of the ecological protection factor is low, it is still an important component of the evaluation system. This setting allows the project to focus more on resource conservation and energy saving and low carbon in the initial stage, and gradually increase attention to ecological protection as the project progresses.

[0049] In some implementations, in step S1, the dynamic adjustment of the weight is based on the following formula: ,in, is the adjusted weight of the ith evaluation factor, is the initial weight of the ith evaluation factor, is the importance coefficient of the ith evaluation factor under the current period and geographical conditions, is the importance coefficient of the jth evaluation factor under the current period and geographical conditions, and Determined through environmental data analysis and expert evaluation.

[0050] Dynamically adjusting weights helps refine management and ensure that each assessment factor is given full weight in its specific context. For example, in high-altitude areas, the importance of ecological protection and quality construction factors may increase significantly, and dynamic adjustment of weights can more accurately reflect the impact of these factors.

[0051] Based on the dynamically adjusted weights, resources can be allocated more reasonably to ensure that resources are invested in the most critical tasks in different stages and environments. For example, increasing the weight of the resource conservation factor during the construction period can encourage the project to adopt more efficient resource management measures; increasing the weight of the warm service factor during the operation period can improve service quality.

[0052] In some implementations, the weight of the factor is considered Determined by analytic hierarchy process and satisfying: ,in, is the weight of the jth assessment factor in the ith evaluation factor.

[0053] The AHP method decomposes complex problems into multiple sub-problems or factors by constructing a multi-level structural model. This hierarchical structure helps to clearly understand and analyze the relationship between each evaluation factor and its corresponding consideration factor. The AHP method quantifies the relative importance of each factor through a pairwise comparison matrix. This method is not only intuitive and easy to understand, but also helps decision makers express their preferences more accurately.

[0054] Example 2 like Figure 2 As shown, the present invention also proposes a dynamic hierarchical assessment system for the ecological impact of plateau highway construction and operation. The assessment system adopts the assessment method provided in any of the above embodiments and includes the following modules: The first construction module 10 is used to construct a green highway evaluation system. The evaluation system includes seven evaluation factors, which are green concept factor, ecological protection factor, resource conservation factor, energy-saving and low-carbon factor, safety and intelligence factor, quality construction factor and warm service factor. Each of the seven evaluation factors corresponds to an initial weight, and the weight of each evaluation factor is dynamically adjusted according to the whole process stage and geographical conditions. The whole process stage includes the construction period and the operation period. A setting module 20 is connected to the first building module 10 and is used to set up a plurality of investigation factors for each evaluation factor, wherein the investigation factors include a construction period investigation factor and an operation period investigation factor, wherein the construction period investigation factor is used to evaluate the impact of the highway construction process on the ecology, and the operation period investigation factor is used to evaluate the impact of the highway operation process on the ecology; The second construction module 30 is connected to the establishment module 20 and is used to construct a construction period score prediction model and an operation period score prediction model; The training module 40 is connected to the second construction module 30 and is used to train the construction period score prediction model using the actual performance corresponding to the construction period score and the construction period inspection factor of the historical highway project, and to train the operation period score prediction model using the actual performance corresponding to the operation period score and the operation period inspection factor of the historical highway project; The generation module 50 is connected to the training module 40 and is used to input the actual performance corresponding to the construction period assessment factor of the current highway project into the construction period score prediction model to generate the construction period prediction score, and input the actual performance corresponding to the operation period assessment factor of the current highway project into the operation period score prediction model to generate the operation period prediction score; The determination module 60 is connected to the generation module 50 and is used to determine the impact level of the plateau highway on the ecological environment during the construction period and the operation period based on the construction period prediction score and the operation period prediction score and the preset impact classification standard.

[0055] The present invention uses scientific methods and technical means to dynamically analyze and evaluate the impact level of plateau highway construction and operation on the ecological environment along the highway, so as to carry out hierarchical management according to the evaluation results, to ensure that highway construction can meet traffic needs while minimizing the negative impact on the ecological environment and achieve coordinated development of "pollution reduction and carbon reduction".

[0056] The present invention further provides an electronic device, the electronic device comprising: processor; a memory for storing processor-executable instructions; The processor is used to execute the evaluation method provided in any of the above embodiments.

[0057] The present invention also provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the evaluation method provided in any of the above embodiments.

[0058] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic hierarchical assessment method for the ecological impact of plateau highway construction and operation, characterized in that: include: Step S1, constructing a green highway evaluation system, the evaluation system includes seven evaluation factors, the seven evaluation factors are green concept factor, ecological protection factor, resource conservation factor, energy saving and low carbon factor, safety and intelligence factor, quality construction factor and warm service factor, each of the seven evaluation factors corresponds to an initial weight, and the weight of each evaluation factor is dynamically adjusted according to the whole process stage and geographical conditions, wherein the whole process stage includes the construction period and the operation period; Step S2, establishing a plurality of assessment factors for each of the evaluation factors, wherein the assessment factors include a construction period assessment factor and an operation period assessment factor, wherein the construction period assessment factor is used to assess the impact of highway construction on ecology, and the operation period assessment factor is used to assess the impact of highway operation on ecology; Step S3, constructing a construction period score prediction model and an operation period score prediction model; Step S4, using the construction period scores of historical highway projects and the actual performance corresponding to the construction period assessment factors to train the construction period score prediction model, and using the operation period scores of the historical highway projects and the actual performance corresponding to the operation period assessment factors to train the operation period score prediction model; Step S5, inputting the actual performance corresponding to the construction period assessment factor of the current highway project into the construction period score prediction model to generate a construction period prediction score, and inputting the actual performance corresponding to the operation period assessment factor of the current highway project into the operation period score prediction model to generate an operation period prediction score; Step S6, determining the impact level of the plateau highway on the ecological environment during the construction period and the operation period based on the construction period prediction score and the operation period prediction score and a preset impact classification standard.

2. The evaluation method according to claim 1, characterized in that: In step S1, the weight of each evaluation factor is dynamically adjusted according to the whole process stage, including: During the construction period, the weights of the energy-saving and low-carbon factor, the safety and intelligence factor, and the quality construction factor are greater than their respective initial weights, and the increase ratio is that the energy-saving and low-carbon factor increases to k1 times its initial weight, the safety and intelligence factor increases to k2 times its initial weight, and the quality construction factor increases to k3 times its initial weight, wherein 1<k1≤1.5, 1<k2≤1.5, 1<k3≤1.5; During the operation period, the weights of the warm service factor, the energy-saving and low-carbon factor, and the ecological protection factor are greater than their respective initial weights, and the increase ratio is that the warm service factor increases to k4 times its initial weight, the energy-saving and low-carbon factor increases to k5 times its initial weight, and the ecological protection factor increases to k6 times its initial weight, wherein 1<k4≤1.5, 1<k5≤1.5, 1<k6≤1.

5.

3. The evaluation method according to claim 1, characterized in that: The geographical conditions include high altitude areas and fragile ecological environment areas. In step S1, the weights of the evaluation factors are dynamically adjusted according to the geographical conditions, including: In the high altitude area, the weights of the energy-saving and low-carbon factor, the ecological protection factor and the quality construction factor are greater than their respective initial weights, and the increase ratio is that the energy-saving and low-carbon factor increases to k7 times of its initial weight, the ecological protection factor increases to k8 times of its initial weight, and the quality construction factor increases to k9 times of its initial weight, wherein 1<k7≤1.5, 1<k8≤1.5, 1<k9≤1.5; In the fragile ecological environment zone, the weights of the ecological protection factor, the resource conservation factor and the warm service factor are greater than their respective initial weights, and the increase ratio is that the ecological protection factor increases to k10 times its initial weight, the resource conservation factor increases to k11 times its initial weight, and the warm service factor increases to k12 times its initial weight, wherein 1<k10≤1.5, 1<k11≤1.5, 1<k12≤1.

5.

4. The evaluation method according to claim 1, characterized in that: In step S3, the formulas of the construction period score prediction model and the operation period score prediction model are: ,in, is the dynamic weight of the i-th evaluation factor, is the weight of the jth assessment factor in the i-th evaluation factor, is the score of the jth assessment factor in the i-th assessment factor, is the number of the consideration factors in the i-th evaluation factor.

5. The evaluation method according to claim 1, characterized in that: The initial weight of the resource conservation factor is greater than the initial weight of the energy conservation and low carbon factor, and the initial weight of the energy conservation and low carbon factor is greater than the initial weight of the ecological protection factor.

6. The evaluation method according to claim 1, characterized in that: In step S1, the dynamic adjustment of the weight is based on the following formula: ,in, is the adjusted weight of the i-th evaluation factor, is the initial weight of the i-th evaluation factor, is the importance coefficient of the ith evaluation factor under the current period and geographical conditions, is the importance coefficient of the jth evaluation factor under the current period and geographical conditions, and Determined through environmental data analysis and expert evaluation.

7. The evaluation method according to claim 1, characterized in that: The weight of the consideration factor Determined by analytic hierarchy process and satisfying: ,in, is the weight of the jth assessment factor in the ith evaluation factor.

8. A dynamic grading assessment system for the ecological impact of plateau highway construction and operation, characterized in that: The evaluation system adopts the evaluation method according to any one of claims 1 to 7, and comprises the following modules: The first building module is used to build a green highway evaluation system, which includes seven evaluation factors, namely, green concept factor, ecological protection factor, resource conservation factor, energy-saving and low-carbon factor, safety and intelligence factor, quality construction factor and warm service factor. Each of the seven evaluation factors corresponds to an initial weight, and the weight of each evaluation factor is dynamically adjusted according to the whole process stage and geographical conditions, wherein the whole process stage includes the construction period and the operation period; A setting module, connected to the first building module, is used to set up a plurality of assessment factors for each of the evaluation factors, wherein the assessment factors include a construction period assessment factor and an operation period assessment factor, wherein the construction period assessment factor is used to assess the impact of highway construction on ecology, and the operation period assessment factor is used to assess the impact of highway operation on ecology; A second construction module, connected to the establishment module, is used to construct a construction period score prediction model and an operation period score prediction model; A training module, connected to the second construction module, for training the construction period score prediction model using the construction period score of the historical highway project and the actual performance corresponding to the construction period assessment factor, and for training the operation period score prediction model using the operation period score of the historical highway project and the actual performance corresponding to the operation period assessment factor; A generation module connected to the training module, for inputting the actual performance corresponding to the construction period assessment factor of the current highway project into the construction period score prediction model to generate a construction period prediction score, and inputting the actual performance corresponding to the operation period assessment factor of the current highway project into the operation period score prediction model to generate an operation period prediction score; A determination module is connected to the generation module and is used to determine the impact level of the plateau highway on the ecological environment during the construction period and the operation period based on the construction period prediction score and the operation period prediction score and a preset impact classification standard.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the evaluation method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to execute the evaluation method described in any one of claims 1 to 7.

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