Low-environmental-influence construction evaluation data analysis method and device based on road environment index information

Abstract

The embodiment of the invention relates to the technical field of data processing, and discloses a low-environmental-impact construction evaluation data analysis method and device based on road environment index information, and the method comprises the steps: obtaining the original data of a plurality of evaluation indexes of an evaluation target; for each evaluation index, calculating the original data according to a preset calculation method corresponding to the evaluation index, and performing standardization processing on a calculation result to obtain standard data; respectively constructing a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation based on the standard data, and obtaining a static evaluation result and a dynamic evaluation result corresponding to the evaluation target; determining the comprehensive relative close degree of the evaluation target based on the static evaluation result and the dynamic evaluation result; and determining the environmental influence level of the evaluation target based on the comprehensive relative closeness. According to the low-environmental-influence construction evaluation based on the multi-dimensional evaluation index, the accuracy of obtaining the comprehensive relative close degree is improved, and the road construction project is effectively guided to reduce the influence of road construction on the environment.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of data processing technology, and in particular to a method and device for analyzing low environmental impact construction evaluation data based on highway environmental index information. Background Art

[0002] With the rapid development of highway transportation infrastructure, the negative environmental impacts of its construction are becoming increasingly prominent. Traditional highway environmental impact assessment methods often focus on the end-of-pipeline assessment of single environmental factors (such as air, water, and noise), and the assessment process is typically conducted during the planning and design phase. However, highway construction cycles are long and impact a wide range of impacts. Construction operations are highly uncertain, and pollution emissions are characterized by temporary, volatile, and significant impacts from construction activities. Therefore, existing environmental impact assessment techniques struggle to effectively control and evaluate the negative environmental impacts of highway construction throughout the entire process, hindering effective reduction of negative environmental impacts during highway construction through technical and management measures. The development of a low-impact construction assessment method that integrates dynamic and static highway construction can guide highway projects to further reduce environmental disturbances, pollution loads, and resource utilization throughout the entire construction process, while meeting basic environmental protection requirements. This is an urgent issue that needs to be addressed. Summary of the Invention

[0003] The purpose of the present invention is to at least provide a low environmental impact construction evaluation data analysis method and device based on highway environmental index information, effectively improve the systematic and comprehensive assessment of the environmental impact of highway construction, and thus effectively guide construction units to improve the negative environmental impact of highway construction.

[0004] To solve the above technical problems, at least one embodiment of the present application provides a low environmental impact construction evaluation data analysis method based on highway environmental index information, including: obtaining the original data of multiple evaluation indicators of the evaluation target; multiple evaluation indicators are determined based on the target layer-criteria layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method; for each evaluation indicator, the original data is calculated according to the preset calculation method corresponding to the evaluation indicator, and the calculation results are standardized to obtain standard data; based on the standard data, a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation are respectively constructed, and the static evaluation results and dynamic evaluation results corresponding to the evaluation target are obtained; based on the static evaluation results and dynamic evaluation results corresponding to the evaluation target, the comprehensive relative closeness of the evaluation target is determined; based on the comprehensive relative closeness, the environmental impact level of the evaluation target is determined.

[0005] At least one embodiment of the present application also provides a low environmental impact construction evaluation data analysis device based on highway environmental index information, including: an acquisition module for acquiring the original data of multiple evaluation indicators of the evaluation target; the multiple evaluation indicators are determined based on the target layer-criteria layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method; a processing module for calculating the original data for each evaluation indicator according to the preset calculation method corresponding to the evaluation indicator, and standardizing the calculation results to obtain standard data; a construction module for constructing a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation based on the standard data, and obtaining the static evaluation results and dynamic evaluation results corresponding to the evaluation target; a determination module for determining the comprehensive relative closeness of the evaluation target based on the static evaluation results and dynamic evaluation results corresponding to the evaluation target; the determination module is also used to determine the environmental impact level of the evaluation target based on the comprehensive relative closeness.

[0006] At least one embodiment of the present application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above-mentioned low environmental impact construction evaluation data analysis method based on highway environmental index information.

[0007] At least one embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned low environmental impact construction evaluation data analysis method based on highway environmental index information.

[0008] The embodiments of the present application provide a method and apparatus for analyzing low environmental impact construction evaluation data based on highway environmental index information. By analyzing standard data corresponding to evaluation indicators in multiple dimensions, dynamic and static evaluation results of low environmental impact construction evaluation are obtained. Based on the dynamic and static evaluation results, the comprehensive relative closeness of the evaluation target's low environmental impact is determined. The level of impact of the evaluation target's construction on the environment is determined based on the comprehensive relative closeness, and the environmental impact level is systematically and comprehensively obtained, thereby effectively guiding construction units to improve the negative environmental impact of highway construction. By using multi-dimensional evaluation indicators to evaluate the impact of the evaluation target on the environment, the accuracy of the comprehensive relative closeness used to characterize the degree of impact of the evaluation target on the environment is improved, thereby obtaining an accurate low environmental impact level and effectively controlling the impact of highway construction on the environment.

[0009] In some optional embodiments, multiple evaluation indicators include comprehensive evaluation indicators, and a static evaluation model for low environmental impact construction evaluation is constructed based on standard data, and a static evaluation result corresponding to the evaluation target is obtained, including: constructing a standard data matrix based on the standard data corresponding to the comprehensive evaluation indicators, and normalizing the standard data matrix to obtain a normalized decision matrix; weighting the normalized decision matrix based on the evaluation weight of each comprehensive evaluation indicator to obtain a weighted normalized decision matrix; determining the positive ideal solution and negative ideal solution of the low environmental impact of the highway corresponding to the evaluation target based on the weighted normalized decision matrix; determining the Euclidean distance between the data corresponding to each comprehensive evaluation indicator and the positive ideal solution and the negative ideal solution in the weighted normalized decision matrix; determining the static relative closeness between the evaluation target and the low environmental impact ideal solution of the highway based on the Euclidean distance between the data corresponding to each comprehensive evaluation indicator and the positive ideal solution and the negative ideal solution; and using the static relative closeness as the static evaluation result corresponding to the evaluation target. By constructing a standard data matrix and performing normalization, dimensional differences between different evaluation indicators can be eliminated, making the data corresponding to each indicator comparable. This avoids bias in static evaluation results due to magnitude differences and improves the accuracy of the static evaluation results. Weighted processing can highlight the impact of key indicators within the comprehensive evaluation index, enhancing the pertinence of the static evaluation results. Using Euclidean distance to quantify the deviation of each comprehensive evaluation indicator from the positive and negative ideal solutions comprehensively reflects the overall proximity of multiple indicators, avoiding the one-sidedness of optimizing a single indicator while imbalances other indicators. This improves the overall comprehensiveness of the static evaluation results and, consequently, their accuracy.

[0010] In some optional embodiments, the multiple evaluation indicators also include dynamic evaluation indicators; a dynamic evaluation model for low environmental impact construction evaluation is constructed based on standard data, and a dynamic evaluation result corresponding to the evaluation target is obtained, including: constructing a dynamic evaluation indicator matrix based on the standard data corresponding to the dynamic evaluation indicators, and normalizing the dynamic evaluation indicator matrix to obtain a dynamic change normalized decision matrix; weighting the dynamic change normalized decision matrix based on the evaluation weight of each dynamic evaluation indicator to obtain a weighted dynamic change normalized decision matrix; determining the positive ideal solution and negative ideal solution of the dynamic change matrix of the evaluation target based on the weighted dynamic change normalized decision matrix; determining the Euclidean distance between the data corresponding to each dynamic evaluation indicator in the weighted dynamic change normalized decision matrix and the positive ideal solution and negative ideal solution of the dynamic change matrix based on the weighted dynamic change normalized decision matrix; determining the dynamic relative closeness between the environmental impact status of the evaluation target and the low environmental impact ideal solution of the highway based on the Euclidean distance between the data corresponding to each dynamic evaluation indicator and the positive ideal solution and negative ideal solution of the dynamic change matrix; and using the dynamic relative closeness as the dynamic evaluation result corresponding to the evaluation target. By constructing and normalizing a dynamic evaluation indicator matrix, we can eliminate dimensional differences among different evaluation indicators, making the data corresponding to each indicator comparable, avoiding bias in dynamic evaluation results due to magnitude differences, and improving the accuracy of dynamic evaluation results. Weighting can highlight the impact of key indicators within the dynamic evaluation index, enhancing the pertinence of the dynamic evaluation results. Using Euclidean distance to quantify the deviation of each dynamic evaluation indicator from both the positive and negative ideal solutions comprehensively reflects the overall proximity of multiple indicators, avoiding the one-sidedness of optimizing a single indicator while leaving other indicators unbalanced. This improves the overall comprehensiveness of the dynamic evaluation results, and thus the accuracy of the results.

[0011] In some optional embodiments, determining the comprehensive relative closeness of the evaluation target based on the static and dynamic evaluation results corresponding to the evaluation target includes: obtaining evaluation weights corresponding to the static and dynamic evaluation results, respectively; and calculating the comprehensive relative closeness of the evaluation target using a quadratic weighting method. By integrating the static and dynamic evaluation results through a weighted sum, the importance of the static and dynamic evaluation results can be dynamically adjusted, thereby balancing the contradictions between the dynamic and static evaluation results in reflecting the impact on the environment, thereby improving the accuracy of the obtained comprehensive relative closeness.

[0012] In some optional embodiments, a static evaluation model for low environmental impact construction evaluation is constructed based on standard data, and static evaluation results corresponding to evaluation targets are obtained. This includes: using comprehensive evaluation indicators as the data source for constructing the static evaluation model; constructing a static evaluation model for low environmental impact construction evaluation based on standard data corresponding to the comprehensive evaluation indicators, and obtaining static evaluation results corresponding to the evaluation targets. Abnormal data is eliminated through the use of constraint indicators, ensuring the accuracy of the static evaluation results.

[0013] In some optional embodiments, obtaining raw data for multiple evaluation indicators of an evaluation target includes: identifying a target stage to be evaluated for the evaluation target; the evaluation target includes at least one stage; obtaining at least one stage evaluation indicator corresponding to the target stage; and obtaining raw data for each stage evaluation indicator of the evaluation target within the target stage. By obtaining the target stage corresponding to the evaluation indicator, it is possible to facilitate evaluation of the evaluation target at different stages, such as construction and operation.

[0014] In some optional embodiments, obtaining raw data for multiple evaluation indicators of an evaluation target includes: identifying a target sub-project to be evaluated; the evaluation target includes at least one sub-project; obtaining at least one sub-project evaluation indicator corresponding to a portion of the target sub-project; and obtaining raw data for each sub-project evaluation indicator corresponding to the evaluation target. Obtaining the sub-projects corresponding to the evaluation indicators facilitates evaluation of individual structures such as bridges, tunnels, and roadbeds. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] One or more embodiments are exemplarily described by the figures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments.

[0016] Figure 1 This is a flow chart of a method for analyzing low environmental impact construction evaluation data based on highway environmental index information provided by an embodiment of the present application;

[0017] Figure 2 This is a schematic diagram of a structure for screening evaluation indicators provided by an embodiment of the present application;

[0018] Figure 3 This is a schematic structural diagram of a method and apparatus for analyzing low environmental impact construction evaluation data based on highway environmental index information provided by another embodiment of the present application;

[0019] Figure 4 It is a structural diagram of an electronic device provided by another embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, each embodiment of the present application will be described in detail below with reference to the accompanying drawings. However, it will be understood by those skilled in the art that in each embodiment of the present application, many technical details are proposed to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can be implemented. The division of the following embodiments is for convenience of description and should not constitute any limitation on the specific implementation of the present application. The various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0021] In order to facilitate understanding of the embodiments of the present application, relevant content about the low environmental impact construction evaluation data analysis method based on highway environmental index information is first introduced here.

[0022] With the rapid development of highway construction and the emergence of environmental problems, my country has gradually researched and implemented highway environmental management technologies and methods tailored to national conditions to control or avoid the negative environmental impacts of highway construction. However, faced with the new requirements of the national development plan, as well as the severe challenges posed by energy and resource shortages and ecological degradation, further efforts are needed to minimize the environmental disturbance and negative impacts of highway construction throughout the entire process to achieve maximum environmental protection. Highway project construction is characterized by long construction cycles and wide-ranging impacts. Pollution emissions are transient, volatile, and significantly affected by construction operations. Traditional environmental impact assessments focus solely on compliance with pollution emissions and environmental quality standards. Due to the uncertainties of construction operations and the limitations of environmental impact assessments and environmental monitoring, these assessments struggle to effectively reflect the mitigation of negative environmental impacts during highway construction. Furthermore, in response to the need for green and low-carbon development of highway infrastructure, there is a lack of assessment methods that can guide the low-impact construction of highways while ensuring high levels of ecological and environmental protection, while meeting environmental protection requirements. In order to more comprehensively reflect the environmental impact level of highway construction and more specifically play the guiding role of evaluation in low-impact highway construction, it is an urgent problem to be solved by constructing a low-impact construction evaluation method for highways that integrates dynamic and static factors, guiding highway projects to further reduce environmental disturbances, pollution loads and resource occupation on the basis of meeting the basic requirements of environmental protection.

[0023] Specifically, existing technologies often rely solely on pre-construction environmental impact assessments to predict current environmental quality and compliance with pollution emission standards, or on environmental monitoring to measure pollution emissions during construction. However, highway construction has a multi-faceted, long-range, and extensive impact on the environment, is significantly affected by operational activities, and consumes significant resources and energy. Existing technologies that rely on only two indicators to assess the negative environmental impacts of highway construction are incomplete and, as a result, are unable to effectively control these negative impacts.

[0024] In order to solve the above-mentioned technical problem that the negative impact of highway construction on the environment is not comprehensive when relying on indicators of only two dimensions, and thus cannot be effectively controlled, the negative impact of highway construction on the environment is evaluated, the present invention proposes a low-environmental-impact construction evaluation data analysis method based on highway environmental index information. The implementation details of the low-environmental-impact construction evaluation data analysis method based on highway environmental index information of this embodiment are specifically described below. The following content is only the implementation details provided for the convenience of understanding and is not necessary for the implementation of this solution.

[0025] Example 1:

[0026] The low environmental impact construction evaluation data analysis method based on highway environmental index information of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. The specific process can be as follows: Figure 1 As shown, including:

[0027] Step 110 , obtaining original data of multiple evaluation indicators of the evaluation target; the multiple evaluation indicators are determined based on the target layer-criterion layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method.

[0028] Specifically, the evaluation target refers to the highway project or unit project that needs to be constructed, including but not limited to expressway projects, ordinary highway projects, a single bridge, a single tunnel, a certain highway section, etc.

[0029] Specifically, multiple evaluation indicators refer to multi-dimensional evaluation indicators used to comprehensively reflect the environmental impact of the evaluation target. Evaluation indicators are standardized parameters used to measure the environmental impact of the evaluation target. Optionally, the evaluation indicators include at least one of the following: construction data and operational data for the evaluation target. Specifically, raw data refers to the specific numerical values ​​corresponding to the evaluation indicators. For example, if the evaluation indicator is the pollution complaint rate, the raw data could be 10%.

[0030] Optionally, in embodiment one, in the aforementioned step 110, the original data of multiple evaluation indicators of the evaluation target are obtained, including: identifying the target sub-stage of the evaluation target to be evaluated; the evaluation target includes at least one sub-stage; obtaining at least one sub-stage evaluation indicator corresponding to the target sub-stage; obtaining the original data of each sub-stage evaluation indicator of the evaluation target in the target sub-stage.

[0031] Specifically, the sub-stage refers to the different periods of evaluation objectives, such as the construction stage and the operation stage, and the target sub-stage refers to a sub-stage in the sub-stage that needs to be evaluated.

[0032] Specifically, the raw data of the evaluation indicators is used to reflect the environmental impact of the evaluation targets at different times. Several of these evaluation indicators are determined based on binding indicators, which are the most basic requirements for highway infrastructure projects participating in low-impact environmental assessments. These binding indicators address the occurrence of different types of environmental incidents during the highway construction and operation phases, and propose requirements to restrict and regulate low-impact assessments. In other words, the binding indicators restrict the evaluation indicators of each target's respective stage. Specifically, binding indicators include environmental compliance, the rationality of ecological red line occupation, sudden environmental incidents, and environmental pollution or ecological damage incidents.

[0033] For example, as shown in Table 1, if the target sub-stage is the operation stage, then at least one sub-stage evaluation indicator includes changes in the air quality index, changes in the comprehensive water pollution index, pollution complaint rate, implementation of water pollution prevention and control measures, rainwater runoff control rate, noise and vibration control, road noise reduction, CO2 equivalent reduction rate, low-carbon technology application, (near) zero-carbon scenario creation, permanent land saving per lane kilometer, sewage treatment effect improvement rate and water recycling rate.

[0034] Table 1 Relationship between stages and evaluation indicators

[0035]

[0036]

[0037] Optionally, in the second embodiment, in the aforementioned step 110, the original data of multiple evaluation indicators of the evaluation target are obtained, including: identifying the target sub-unit project to be evaluated; the evaluation target includes at least one sub-unit project; obtaining at least one sub-unit project evaluation indicator corresponding to the target sub-project part; and obtaining the original data of each sub-unit project evaluation indicator corresponding to the evaluation target.

[0038] Specifically, a target sub-unit project refers to a sub-unit project that requires evaluation, corresponding to the evaluation objective. Sub-unit projects include roads, bridges, tunnels, facilities along the route, and construction sites. A target sub-unit project can be any of these; if a road needs to be evaluated, the target sub-unit project is the road corresponding to the evaluation objective.

[0039] Specifically, when at least one evaluation indicator of a sub-unit project is a sub-unit project for evaluation, it can be an evaluation indicator that characterizes the environmental impact of the evaluation target of the sub-unit project. Wherein, at least one evaluation indicator of a sub-unit project is determined based on a binding indicator, which refers to the most basic requirements for highway infrastructure projects participating in low environmental impact assessments. Binding indicators, targeting the occurrence of different types of environmental incidents in different sub-unit projects, put forward requirements for limiting and adjusting low-impact assessments, that is, binding indicators restrict the evaluation indicators of each sub-unit project. Specifically, binding indicators include environmental compliance, rationality of ecological red line occupation, sudden environmental incidents, and environmental pollution or ecological damage incidents.

[0040] For example, as shown in Table 2, if the target sub-unit project is a facility along the line, then at least one sub-unit project evaluation indicator includes pollution complaint rate, atmospheric pollution emission concentration percentage, sewage discharge percentage, implementation of water pollution prevention and control measures, oil fuel and solid waste management, low-carbon technology application, (near) zero-carbon scenario creation, sewage treatment effect improvement rate and water recycling rate.

[0041] Table 2 Relationship between unit projects and evaluation indicators

[0042] Serial number Evaluation indicators road bridge tunnel Facilities along the route Construction site 1 Sensitive point atmospheric pollutant concentration ratio √ √ √ √ 2 The proportion of equivalent A-level sound level at sensitive points during the day and night √ √ √ √ 3 Changes in the comprehensive water pollution index √ 4 Air Quality Index Changes √ √ √ √ 5 Water quality change rate at water environment sensitive points √ √ √ √ 6 Pollution complaint rate √ √ √ √ √ 7 Air pollution emission concentration percentage √ √ √ √ √ 8 Implementation of air pollution prevention and control measures √ √ √ √ 9 Application of efficient dust reduction technology √ √ √ 10 Application of harmful gas control technology √ 11 Sewage discharge rate √ √ 12 Implementation of water pollution prevention and control measures √ √ √ √ √ 13 Tunnel drainage purification √ 14 Bridge wading construction control √ 15 Stormwater runoff control rate √ √ √ 16 Noise emission rate √ √ 17 Noise and vibration control √ √ √ 18 Road noise reduction √ 19 Oil, fuel and solid waste management √ √ √ √ √ 20 <![CDATA[CO2 equivalent reduction rate]]> √ √ √ √ 21 Low-carbon technology application √ √ √ √ √ 22 (Near) Zero Carbon Scenario Creation √ √ √ √ √ 23 Permanent land saving per lane kilometer √ 24 Temporary land saving per lane kilometer √ √ 25 Road area material resource utilization rate √ √ √ 26 Solid waste recycling rate √ √ √ 27 Sewage treatment effect improvement rate √ 28 Water recycling rate √ √

[0043] Specifically, the target-criteria-indicator evaluation index system framework is a framework for determining indicators that assess the environmental impact of an evaluation target. By controlling the values ​​of the evaluation indicators determined within this framework, the evaluation target can be guided to adopt measures that are conducive to reducing negative environmental impacts. Therefore, the indicator set determined within this framework can also be referred to as a standard low-environmental-impact evaluation index set, where the indicator set includes multiple evaluation indicators.

[0044] In some examples, the method for constructing the target layer-criterion layer-indicator layer evaluation indicator system framework is as follows: construct a low environmental impact assessment indicator set based on preset environmental assessment standards and historical assessment cases; use the hierarchical analysis method to analyze and process the indicators in the low environmental impact assessment indicator set to construct the target layer-criterion layer-indicator layer evaluation indicator system framework.

[0045] Specifically, the preset environmental assessment standards may be assessment standards related to green construction, green highways, and sustainable highways. The preset environmental assessment standards may be assessment standards from different countries. Historical assessment cases may be cases or outstanding cases related to green construction, green highways, and sustainable highways.

[0046] In some examples, constructing a low environmental impact assessment indicator set based on preset environmental assessment standards and historical assessment cases includes: obtaining an initial indicator set related to the preset environmental assessment standards and historical assessment cases; selecting at least one candidate indicator from the initial indicator set whose frequency of the same indicator is higher than a preset frequency and whose weight in assessing negative environmental impact is higher than a preset weight; selecting at least one initial standard indicator from the at least one candidate indicator based on a scientific method, wherein the initial standard indicator refers to an indicator recognized by experts; validating the effectiveness of each initial standard indicator in the at least one initial standard indicator, and selecting an indicator with a validity higher than a preset validity threshold as a low environmental impact assessment indicator to obtain at least one low environmental impact assessment indicator; and constructing a low environmental impact assessment indicator set based on the at least one low environmental impact assessment indicator. By screening the initial indicator set using frequency, weight, scientific method, and validity verification, indicators with low effects on controlling negative environmental impact are effectively and accurately removed, thereby improving the reliability, validity, and accuracy of obtaining the standard low environmental impact assessment indicator set, and improving the effectiveness of controlling negative environmental impacts using the negative environmental impacts assessed using the standard low environmental impact assessment indicator set.

[0047] Specifically, candidate indicators are those that occur frequently and, by improving their corresponding values, can effectively control the environmental impact of the assessment target. They can also be understood as indicators that meet the definition of low environmental impact and appear frequently in pre-set environmental assessment standards and literature.

[0048] In some examples, selecting at least one initial standard indicator from at least one candidate indicator based on scientific methods includes: comprehensively analyzing the at least one candidate indicator using correlation analysis methods, cluster analysis methods, and expert opinions to select the at least one initial standard indicator. Thus, analyzing the at least one candidate indicator based on multiple analysis methods and analyzing the at least one candidate indicator based on expert opinions to select the at least one initial standard indicator makes the at least one initial standard indicator more scientific and representative, thereby improving the accuracy of obtaining the at least one initial standard indicator.

[0049] For example, see Figure 2, extensively collect multiple preset environmental assessment standards and multiple literature cases (historical assessment cases) related to environmental impacts, green highways, green buildings, green construction, ecological highways, and low-carbon highways; extensively collect evaluation indicators related to the preset environmental assessment standards and literature cases (documentary materials) to form an initial indicator set based on the relevant evaluation indicators. Preliminary screening is performed on the initial indicator set to select at least one indicator in the initial indicator set whose identical indicator is repeated more than a preset frequency. The at least one indicator with a higher than preset frequency is then used as the at least one high-frequency indicator. From the at least one high-frequency indicator, at least one candidate indicator with a weight higher than a preset weight is selected. Indicators with a weight higher than the preset weight are those that have a greater impact when assessing negative environmental impacts. Optimize and screen the at least one candidate indicator to obtain a standard low-impact assessment indicator set. Specifically, optimizing and screening the at least one candidate indicator to obtain the standard low-impact assessment indicator set includes: comprehensively analyzing the at least one candidate indicator using correlation analysis and cluster analysis methods, combined with expert opinions, to select the at least one initial standard indicator. The effectiveness of at least one initial standard and at least one initial standard indicator is verified to obtain an indicator that can truly effectively control the negative environmental impact of the evaluation target, thereby obtaining a standard low environmental impact evaluation indicator set. As can be seen, by collecting multiple evaluation standards, the accuracy of the determined standard low environmental impact evaluation indicator set can be increased.

[0050] Specifically, the standard low environmental impact assessment indicator set in this scheme includes multiple indicators. For details, please refer to the indicator layer in Table 3. The indicators in the indicator layer are evaluation indicators.

[0051] In some examples, the Analytic Hierarchy Process (AHP), which includes multidisciplinary comprehensive theoretical analysis, knowledge graph analysis, and scientific analysis, is used to analyze and process the indicators and constraint indicators in the standard low environmental impact assessment index set, constructing a target layer-criterion layer-indicator layer evaluation index system framework. This includes: using multidisciplinary comprehensive theoretical analysis to analyze the connotation of low environmental impact and establish a target layer that includes compliance with environmental constraints, meeting environmental quality standards, reducing emission loads, and reducing resource utilization; using knowledge graph analysis to analyze the indicators in the target layer, identifying the key links, processes, and influencing factors that cause negative environmental impacts during highway construction, and constructing a criterion layer based on different environmental factors such as air, water, and sound; and using scientific analysis to merge, filter, and modify the indicators in the standard low environmental impact assessment index set based on the criterion layer to construct the indicator layer. Based on the target layer, criterion layer, and indicator layer, a target layer-criterion layer-indicator layer evaluation index system framework is constructed. Among them, one indicator in the target layer can correspond to at least two indicators in the criterion layer, and one indicator in the criterion layer can correspond to at least two indicators in the indicator layer. That is, the indicator of the criterion layer is based on the indicator of the target layer, and the indicator of the target layer is divided into a finer granularity, resulting in at least one indicator of the criterion layer belonging to the indicator of the target layer. The indicator of the indicator layer is based on the indicator of the criterion layer, and the indicator of the criterion layer is divided into a finer granularity, resulting in at least one indicator of the indicator layer belonging to the indicator of the criterion layer. The indicators of the indicator layer are the indicators with the smallest granularity, that is, the evaluation indicators.

[0052] The multidisciplinary integrated theoretical approach draws on theories of sustainable development, environmental carrying capacity, and systems analysis. Scientific analysis methods include screening high-frequency indicators, correlation analysis, cluster analysis, and expert consultation. Each of the goal, criterion, and indicator layers includes at least one indicator.

[0053] Specifically, the indicators included in the target layer, criterion layer, and indicator layer, as well as the relationship between the target layer, criterion layer, and indicator layer, can be found in Table 3:

[0054] Table 3 Relationship between target layer, criterion layer and indicator layer

[0055]

[0056]

[0057] In some examples, the method further includes: analyzing the attributes of each indicator in the indicator layer, classifying each indicator into constraint indicators, dynamic evaluation indicators, and comprehensive evaluation indicators. Specifically, by setting dynamic evaluation indicators, it is possible to dynamically assess and understand the negative environmental impacts and the implementation of prevention and control measures as the time series of highway infrastructure construction and operation changes, thereby providing positive feedback for identifying the driving factors of negative environmental impacts and regulating key links.

[0058] Specifically, binding indicators refer to the prerequisites for conducting low-impact environmental assessments, primarily including environmental access and the occurrence of environmental incidents. Specifically, dynamic evaluation indicators are used to characterize the key pollution-generating processes and negative environmental impacts during the construction and operation of highway infrastructure. Specifically, comprehensive evaluation indicators are used to characterize the negative environmental impacts of completed highway construction and the results of implemented pollution mitigation measures.

[0059] In some examples, in order to determine the impact of the evaluation target on the environment based on the data of the evaluation indicator, the evaluation indicator can be quantified through quantitative calculation, qualitative evaluation method, or a combination of qualitative and quantitative evaluation method.

[0060] In some examples, for binding indicators, through research on environmental access requirements and environmental event classification, the access conditions for highway infrastructure in environmental assessment, water conservation, and other related areas, as well as the rationale for occupying ecological protection red lines, are clarified. Based on the occurrence of different types of environmental events during the construction and operation stages of highway construction, requirements for limiting and regulating environmental low-impact assessments are proposed, and the qualitative methods for each binding indicator are clarified. Specifically, the meaning of the binding evaluation indicators, the quantification method (quantitative calculation method, qualitative evaluation method, or quantitative combined evaluation method), and the indicator type can be seen in Table 4:

[0061] Table 4 Meaning and calculation method of binding indicators

[0062]

[0063] In some cases, for comprehensive evaluation indicators, the qualitative evaluation method, quantitative calculation method, or quantitative combined evaluation method for each comprehensive evaluation indicator can be clarified by conducting extensive research on comprehensive environmental quality evaluation methods and standards, air-water-noise pollution prevention and control and carbon emission reduction measures and their application during the highway construction and operation stages, land-material-water and other resource conservation measures and their application, and green highway construction evaluation and guidance research. Specifically, the meaning of the indicators, quantification methods (quantitative calculation methods, qualitative evaluation methods, or quantitative combined evaluation methods), and indicator types of comprehensive evaluation indicators can be found in Table 5:

[0064] Table 5 Index meaning and calculation method

[0065]

[0066]

[0067]

[0068] In some cases, for dynamic evaluation indicators, by focusing on the atmospheric, water, and acoustic environmental monitoring and the implementation of pollution prevention and control measures during highway construction or operation, we conducted research on highway environmental monitoring supervision, on-site environmental management, and on-site implementation of atmospheric, water, and noise pollution prevention and control measures. This clarified the quantitative calculation method, qualitative evaluation method, or a combination of quantitative and quantitative evaluation methods for each dynamic evaluation indicator. Specifically, the meaning of the indicators, the quantification method (quantitative calculation method, qualitative evaluation method, or a combination of quantitative and quantitative evaluation methods), and the indicator type for each dynamic evaluation indicator can be found in Table 6:

[0069] Table 6 Meaning and calculation method of dynamic evaluation indicators

[0070]

[0071]

[0072]

[0073] It should be understood that during the infrastructure construction and operation phases of highway construction, some key pollution-generating processes have significant negative environmental impacts. Therefore, ten dynamic evaluation indicators are incorporated into the evaluation index system to conduct process evaluation. By establishing dynamic evaluation indicators, the impact of negative environmental impacts and the implementation of prevention and control measures during the construction and operation phases of highway infrastructure can be dynamically assessed, providing positive feedback for identifying drivers of negative environmental impacts and regulating key links. In constructing the evaluation index system framework at the target layer, criterion layer, and indicator layer, constraint indicators reflecting environmental constraints, environmental quality, emission load, and resource utilization, comprehensive evaluation indicators, and dynamic evaluation indicators are comprehensively considered. Time functions are also considered, ensuring that dynamic and static evaluation indicators complement and support each other. This target layer, criterion layer, and indicator layer evaluation index system framework provides a systematic and comprehensive evaluation foundation with clear hierarchy and logic. This comprehensive evaluation foundation facilitates the acquisition of accurate raw data and the development of accurate evaluation results. Both comprehensive and dynamic evaluation indicators are evaluation indicators, reflecting environmental quality, the extent of pollution emissions, and the effectiveness of measures to mitigate negative highway environmental impacts. The values ​​of the evaluation indicators and the indicator weights jointly determine the evaluation results of the environmental impact of the target highway under construction.

[0074] Step 120 : For each evaluation indicator, the original data is calculated according to a preset calculation method corresponding to the evaluation indicator, and the calculation results are standardized to obtain standard data.

[0075] Specifically, the indicator calculation method refers to the quantitative or qualitative calculation method of the indicator.

[0076] In some examples, the standardization process may be normalization processing, where for each evaluation indicator, calculation is performed according to the indicator calculation method, and the calculation result is standardized to obtain standard data, including: for each evaluation indicator, the original data is normalized to obtain standard data, wherein the range of the standard data is greater than or equal to 0 and less than or equal to 1.

[0077] In some examples, the method further includes: constructing a normalization matrix for multiple evaluation indicators; normalizing the original data for each evaluation indicator to obtain standard data, including: normalizing the original data for each evaluation indicator in the normalization matrix to obtain standard data.

[0078] In some examples, for each evaluation indicator, the original data is normalized to obtain standard data, including: obtaining the column of the original data in the normalized matrix, and obtaining the maximum original data and the minimum original data in the column in the matrix, and normalizing the original data based on the maximum original data and the minimum original data to obtain standard data.

[0079] Specifically, the original data is normalized based on the maximum original data and the minimum original data to obtain standard data, which can be expressed as the following formula:

[0080]

[0081] in, is the normalized matrix The maximum original data in column j, is the normalized matrix The minimum original data in column j, i refers to the row of the normalized matrix, is the normalized matrix, x ij is a standard index with dimension 1, satisfying x ij ∈[0,1], Refers to the original data.

[0082] It should be understood that the orders of magnitude of different evaluation indicators are inconsistent, that is, the orders of magnitude of the multiple raw data corresponding to multiple evaluation indicators are inconsistent. Data with inconsistent orders of magnitude cannot be directly compared or combined. Therefore, to enhance the comparability and combinability of the raw data, this solution standardizes each raw data to obtain standardized data. This removes the unit limits and dimension effects of the raw data, ensuring that the standardized data are all of the same order of magnitude, enhancing the scientific nature of the data.

[0083] Step 130 : constructing a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation based on the standard data, and obtaining static evaluation results and dynamic evaluation results corresponding to the evaluation targets.

[0084] Specifically, low environmental impact construction evaluation refers to the evaluation of the degree to which the evaluation target reduces the negative environmental impact it generates. Specifically, a static evaluation model refers to a model constructed based on standard data corresponding to comprehensive evaluation indicators, used to obtain static evaluation results of the evaluation target's reduction of the negative environmental impact it generates. Specifically, a dynamic evaluation model refers to a model constructed based on standard data corresponding to dynamic evaluation indicators, used to obtain dynamic evaluation results of the evaluation target's reduction of the negative environmental impact it generates.

[0085] In some examples, in the aforementioned step 120, the multiple evaluation indicators include comprehensive evaluation indicators. In the aforementioned step 103, a static evaluation model for low environmental impact construction evaluation is constructed based on standard data, and a static evaluation result corresponding to the evaluation target is obtained, including steps 121 to 126:

[0086] Step 121: constructing a standard data matrix based on the standard data corresponding to the comprehensive evaluation index, and normalizing the standard data matrix to obtain a normalized decision matrix;

[0087] Specifically, the standard data matrix is ​​normalized to obtain a normalized decision matrix, including: for each standard data in the standard data matrix, obtaining the column where the standard data is located, and performing planning processing on the standard data based on multiple standard data in the column in the standard data matrix to obtain normalized data, and then obtaining multiple normalized data, and constructing a normalized decision matrix based on the multiple normalized data, wherein the normalized decision matrix has the same arrangement as the standard data matrix, that is, the number of matrix rows and the number of matrix columns are the same. Specifically, the process of constructing the normalized matrix can be expressed as the following formula:

[0088]

[0089] Among them, R refers to the normalized decision matrix, r ijRefers to the normalized data in row i and column j of the normalized decision matrix; m is used to indicate that there are m rows in the normalized decision matrix, n is used to indicate that there are n columns in the normalized decision matrix, and x ij Refers to the standard data located in row i and column j in the standard data matrix. It is used to represent the sum of the squares of the m standard data in the jth column of the standard data matrix, and the sum value obtained is x xj Refers to the standard data located at row x and column j in the standard data matrix.

[0090] In some examples, a standard data matrix can be constructed based on standard data corresponding to comprehensive evaluation indicators through expert scoring.

[0091] In some examples, in the aforementioned step 120 and the aforementioned step 130, a static evaluation model for low environmental impact construction evaluation is constructed based on standard data, and a static evaluation result corresponding to the evaluation target is obtained, including: using comprehensive evaluation indicators as a data source for constructing the static evaluation model; constructing a static evaluation model for low environmental impact construction evaluation based on standard data corresponding to the comprehensive evaluation indicators, and obtaining a static evaluation result corresponding to the evaluation target.

[0092] Exemplarily, when constructing a static evaluation model, standard data corresponding to comprehensive evaluation indicators are selected from standard data; the selected standard data corresponding to comprehensive evaluation indicators are used as model construction data for constructing a static evaluation model to obtain a static evaluation model.

[0093] Step 122: performing weighting processing on the normalized decision matrix based on the evaluation weight of each comprehensive evaluation indicator to obtain a weighted normalized decision matrix;

[0094] In some examples, AHP can be used to determine the evaluation weights of the comprehensive evaluation indicators corresponding to each normalized data in the normalized decision matrix. Specifically, an expert group composed of experts with long-term experience in research and consulting in highway environmental protection, environmental impact assessment, environmental monitoring, and environmental supervision can be used to conduct pairwise comparisons of the indicators in the normalized decision matrix using a 1-9 scaling method to quantify the relative importance of each pair of indicators in evaluating the negative impact on the environment. Multiple weight matrices for the normalized decision matrix can then be derived through pairwise comparisons. These multiple weight matrices can then be subjected to consistency checks to determine the evaluation weights of the comprehensive evaluation indicators corresponding to each normalized data in the normalized decision matrix.

[0095] AHP (Analytic Hierarchy Process) is a multi-criteria decision analysis method that decomposes complex problems into a multi-level structure and combines qualitative and quantitative analysis to select the optimal solution from multiple alternatives.

[0096] Specifically, based on the evaluation weight of each comprehensive evaluation indicator, the normalized decision matrix is ​​weighted to obtain a weighted normalized decision matrix, which can be expressed as the following formula:

[0097]

[0098] Where K refers to the weighted normalized decision matrix, R refers to the normalized decision matrix, and w refers to the weight matrix for the normalized decision matrix.

[0099] Step 123 , based on the weighted normalized decision matrix, determining a positive ideal solution and a negative ideal solution for the highway with low environmental impact corresponding to the evaluation target;

[0100] Specifically, the positive ideal solution can be obtained by the following formula:

[0101]

[0102] in, refers to the optimal solution in the nth column of the weighted normalized decision matrix, refers to the optimal solution in the first column of the weighted normalized decision matrix, K refers to the optimal solution in the second column of the weighted normalized decision matrix. + is a positive ideal solution. Specifically, K + It refers to the optimal solution corresponding to each evaluation index after the multi-dimensional evaluation index matrix of low environmental impact construction evaluation for the evaluation target is weighted and standardized.

[0103] Specifically, the negative ideal solution can be obtained by the following formula:

[0104]

[0105] in, is the worst solution in the nth column of the weighted normalized decision matrix, refers to the worst solution in the first column of the weighted normalized decision matrix, K refers to the worst solution in the second column of the weighted normalized decision matrix. - refers to the negative ideal solution, specifically, K + It refers to the worst solution corresponding to each evaluation index after weighted standardization of the multi-dimensional evaluation index matrix for low environmental impact construction evaluation of the evaluation target.

[0106] Step 124, based on the weighted normalized decision matrix, determining the Euclidean distance between the data corresponding to each comprehensive evaluation indicator in the weighted normalized decision matrix and the positive ideal solution and the negative ideal solution;

[0107] In some examples, for each row in the weighted normalized decision matrix, the Euclidean distance between the data in the row and the positive ideal solution is determined based on all the data in the row in the weighted normalized decision matrix; and the Euclidean distance between the data in the row and the negative ideal solution is determined based on all the data in the row in the weighted normalized decision matrix.

[0108] Specifically, based on all the data in the row of the weighted normalized decision matrix, the Euclidean distance between the data in the row and the positive ideal solution is determined, which can be expressed as the following formula:

[0109]

[0110] in, It refers to the Euclidean distance between the i-th row data in the weighted normalized decision matrix and the positive ideal solution, that is, the Euclidean distance between the i-th evaluation index of the evaluation target and the maximum value of the evaluation index of the highway section, k ij Refers to the data in row i and column j of the weighted normalized decision matrix, is the positive ideal solution of the jth column, It means calculating the square value of each data in the m weighted normalized decision matrix in the i-th row and the positive ideal solution in the j-th column, and summing up multiple square values.

[0111] Specifically, based on all the data in the row of the weighted normalized decision matrix, the Euclidean distance between the data in the row and the negative ideal solution is determined, which can be expressed as the following formula:

[0112]

[0113] in, It refers to the Euclidean distance between the i-th row data in the weighted normalized decision matrix and the negative ideal solution, that is, the Euclidean distance between the i-th evaluation index of the evaluation target and the minimum value of the evaluation index of the highway section, k ij Refers to the data in row i and column j of the weighted normalized decision matrix, is the negative ideal solution of the jth column, It means calculating the square value of each data in the m weighted normalized decision matrix in the i-th row and the negative ideal solution in the j-th column, and summing the multiple square values.

[0114] Step 125 , determining a static relative closeness between the evaluation target and the ideal solution for low environmental impact highway based on the Euclidean distances between the data corresponding to each comprehensive evaluation index and the positive ideal solution and the negative ideal solution;

[0115] Specifically, the ideal low-environmental-impact highway solution refers to the solution where the negative environmental impact is reduced to the ideal impact conditions during the construction and operation phases of the evaluation target. Specifically, the static relative closeness is used to indicate the proximity of the evaluation target to the ideal low-environmental-impact highway solution. A larger value indicates a closer proximity to the ideal solution and a lower negative environmental impact of the evaluation target.

[0116] Specifically, based on the Euclidean distance between the data corresponding to each comprehensive evaluation indicator and the positive ideal solution and the negative ideal solution, the static relative closeness between the evaluation target and the ideal solution for low environmental impact of highway is determined, which can be expressed as the following formula:

[0117]

[0118] Among them, C i It refers to the static relative closeness between the data in the i-th row of the weighted normalized decision matrix and the ideal solution of low environmental impact of highway. It refers to the Euclidean distance between the i-th row data in the weighted normalized decision matrix and the negative ideal solution, It refers to the Euclidean distance between the data in the i-th row of the weighted normalized decision matrix and the positive ideal solution.

[0119] Step 126: Use the static relative closeness as the static evaluation result corresponding to the evaluation target.

[0120] Specifically, static evaluation results refer to the results determined based on the data corresponding to the comprehensive evaluation indicators.

[0121] In some examples, in step 120, the plurality of evaluation indicators further include dynamic evaluation indicators. In step 130, a dynamic evaluation model for low environmental impact construction evaluation is constructed based on standard data, and dynamic evaluation results corresponding to the evaluation objectives are obtained, including steps 01 to 06:

[0122] Step 01: construct a dynamic evaluation indicator matrix based on the standard data corresponding to the dynamic evaluation indicators, and normalize the dynamic evaluation indicator matrix to obtain a dynamic change normalized decision matrix;

[0123] Specifically, the dynamic evaluation indicator matrix is ​​normalized to obtain a dynamic change normalized decision matrix, including: for each standard data in the dynamic evaluation indicator matrix, obtaining the column where the standard data is located, and performing planning processing on the standard data based on multiple standard data in the column in the dynamic evaluation indicator matrix to obtain target normalized data, and then obtaining multiple target normalized data, and constructing a dynamic change normalized decision matrix based on the multiple target normalized data, wherein the dynamic change normalized decision matrix has the same arrangement as the dynamic evaluation indicator matrix, that is, the number of matrix rows and the number of matrix columns are the same. Specifically, the process of constructing the dynamic change normalized decision matrix can be expressed as the following formula:

[0124]

[0125] Among them, B(t) refers to the starting time t k-1 , the end time is t k The dynamic change normalized decision matrix in the t time period, r ij (t y ) refers to the y The target normalized data in row i and column j of the dynamic evaluation index matrix at each moment; r ij (t k-1 ) refers to the k-1 The target normalized data in row i and column j of the dynamic evaluation index matrix at each moment; m is used to indicate that there are m rows in the dynamic change normalized decision matrix, n is used to indicate that there are n rows in the dynamic change normalized decision matrix, and x ij It is t y The standard data in row i and column j of the dynamic evaluation index matrix at the moment, Used to express t y The sum of the squares of the m standard data in the jth column of the dynamic evaluation index matrix is ​​summed up to obtain the sum value, x xj refers to t y The standard data located in row x and column j in the moment-by-moment dynamic evaluation indicator matrix.

[0126] In some examples, by adding time series data to the dynamic evaluation indicators, the data corresponding to the dynamic evaluation indicators can be expanded into three-dimensional data. The three-dimensional data includes the evaluation target dimension, the evaluation indicator dimension, and the time dimension, thereby forming a time series three-dimensional data table. The dynamic development and changes of environmental impacts can be compared, and a dynamic evaluation indicator matrix can be constructed based on the three-dimensional data corresponding to the dynamic evaluation indicators through the expert scoring method.

[0127] Step 02: Based on the evaluation weight of each dynamic evaluation indicator, the dynamic change normalized decision matrix is ​​weighted to obtain a weighted dynamic change normalized decision matrix.

[0128] Specifically, the evaluation weight is a three-dimensional weight, which can include a two-dimensional weight and a time-dimensional weight. The two-dimensional weight refers to the degree of relevance between the evaluation indicator and the impact of the evaluation target on the environment, that is, the evaluation target-evaluation indicator weight. The time-dimensional weight is used to represent the impact of the evaluation target on the environment within a preset time period.

[0129] In some examples, the preset time periods can be divided into the early, mid, and late stages of construction for the evaluation target. Different time-weighted evaluation targets are assigned different time-weighted time dimensions for each preset time period, thereby evaluating the environmental impact of the evaluation target in each preset time period based on the different time-weighted time dimensions. It should be noted that the preset time periods can also be divided according to more granular time durations, which is not specifically limited here.

[0130] In some examples, AHP can be used to determine the two-dimensional weights of the dynamic evaluation indicators corresponding to each data in the dynamic change normalized decision matrix. Specifically, an expert group can be formed by experts who have long been engaged in research and consulting work in highway environmental protection, environmental impact assessment, environmental monitoring, environmental supervision, etc., and a 1-9 scaling method can be used to compare the indicators in the dynamic change normalized decision matrix pairwise, quantifying the relative importance of each pair of indicators in evaluating the negative impact on the environment. Then, through the pairwise comparison, multiple two-dimensional weight matrices for the dynamic change normalized decision matrix are obtained. The consistency of the multiple two-dimensional weight matrices is tested to determine the two-dimensional weights of the dynamic evaluation indicators corresponding to each data in the dynamic change normalized decision matrix.

[0131] Specifically, based on the two-dimensional weight of each dynamic evaluation indicator, the dynamic change normalized decision matrix is ​​weighted to obtain the weighted dynamic change normalized decision matrix, which can be expressed as the following formula:

[0132]

[0133] Among them, ΔK(t) refers to the weighted dynamic change normalized decision matrix within the time period t, B(t) refers to the dynamic change normalized decision matrix in the time period t, W1 refers to the two-dimensional weight matrix for the dynamic change normalized decision matrix, and * refers to multiplying the dynamic change normalized decision matrix with the two data at the same position in the dynamic change normalized decision matrix.

[0134] Step 03, based on the weighted dynamic change normalized decision matrix, determine the positive ideal solution and the negative ideal solution of the dynamic change matrix of the evaluation target;

[0135] Specifically, the positive ideal solution can be obtained by the following formula:

[0136]

[0137] in, It refers to the maximum value in the nth column of the weighted dynamic change normalized decision matrix within the t time period, It refers to the maximum value in the first column of the normalized decision matrix of the weighted growth coefficient in the t period, ΔK is the maximum value in the second column of the weighted dynamic change normalized decision matrix during the time period t. + (t) refers to the positive ideal solution.

[0138] Specifically, the negative ideal solution can be obtained by the following formula:

[0139]

[0140] in, It refers to the minimum value in the nth column of the weighted dynamic change normalized decision matrix within the t time period, It refers to the minimum value in the first column of the normalized decision matrix of the weighted growth coefficient in the t period, ΔK is the minimum value in the second column of the weighted dynamic change normalized decision matrix during the time period t. - (t) refers to the negative ideal solution.

[0141] Step 04: Based on the weighted dynamic change normalized decision matrix, determine the Euclidean distance between the data corresponding to each dynamic evaluation indicator in the weighted dynamic change normalized decision matrix and the positive ideal solution and the negative ideal solution of the dynamic change matrix;

[0142] In some examples, within a time period t, for each row in the weighted dynamically changing normalized decision matrix, the Euclidean distance between the data in the row and the positive ideal solution is determined based on all the data in the row in the weighted dynamically changing normalized decision matrix; and the Euclidean distance between the data in the row and the negative ideal solution is determined based on all the data in the row in the weighted dynamically changing normalized decision matrix.

[0143] Specifically, based on all the data in the row of the weighted dynamic change normalized decision matrix within the time period t, the Euclidean distance between the data in the row and the positive ideal solution is determined, which can be expressed as the following formula:

[0144]

[0145] in, It refers to the Euclidean distance between the data in the i-th row of the weighted dynamic change normalized decision matrix and the positive ideal solution in the t time period, Δk ij Refers to the data in row i and column j of the weighted dynamic change normalized decision matrix within time period t. is the positive ideal solution of the jth column, It means calculating the square values ​​of the m data in the weighted dynamic change normalized decision matrix in the i-th row within the t time period and the positive ideal solution in the j-th column, and summing the multiple square values.

[0146] Specifically, based on all the data in the row of the weighted dynamic change normalized decision matrix within the time period t, the Euclidean distance between the data in the row and the negative ideal solution is determined, which can be expressed as the following formula:

[0147]

[0148] in, It refers to the Euclidean distance between the i-th row data and the negative ideal solution in the weighted dynamic change normalized decision matrix within the t time period, Δk ij Refers to the data in row i and column j of the weighted dynamic change normalized decision matrix within time period t. is the negative ideal solution of the jth column, It means calculating the square values ​​of the m data in the weighted dynamic change normalized decision matrix in the i-th row within the t time period and the negative ideal solution in the j-th column, and summing the multiple square values.

[0149] Step 05: Based on the Euclidean distance between the data corresponding to each dynamic evaluation index and the positive ideal solution and the negative ideal solution of the dynamic change matrix, determine the dynamic relative closeness between the environmental impact of the evaluation target and the ideal solution of low environmental impact of the highway;

[0150] Specifically, the ideal solution for low environmental impact of highways refers to the solution that achieves ideal impact conditions on the environment during the construction and operation stages of the evaluation target.

[0151] Specifically, dynamic relative closeness is used to indicate the gap between the evaluation target and the ideal solution of low environmental impact of highways. A larger value indicates a smaller gap and a smaller negative impact on the environment.

[0152] Specifically, based on the Euclidean distance between the data corresponding to each dynamic evaluation indicator and the positive ideal solution and the negative ideal solution, the dynamic relative closeness between the environmental impact of the evaluation target and the ideal solution of low environmental impact of the highway is determined, which can be expressed as the following formula:

[0153]

[0154] Where, ΔC i (t) refers to the dynamic relative closeness between the data in the i-th row of the weighted dynamic change normalized decision matrix and the ideal solution of low environmental impact of highway in the t-time period, It refers to the Euclidean distance between the i-th row data and the negative ideal solution in the weighted dynamic change normalized decision matrix within the t time period, It refers to the Euclidean distance between the data in the i-th row of the weighted dynamically changing normalized decision matrix and the positive ideal solution within the t time period.

[0155] Step 06: Use the dynamic relative closeness as the dynamic evaluation result corresponding to the evaluation target.

[0156] Specifically, the dynamic evaluation result refers to the result determined based on the data corresponding to the dynamic evaluation indicator.

[0157] In some examples, different weights may be set for the same dynamic evaluation indicator in different time periods, and time-weighted processing may be performed on the dynamic evaluation results based on different time periods.

[0158] Step 140 : Determine the comprehensive relative closeness corresponding to the evaluation target based on the static evaluation result and the dynamic evaluation result corresponding to the evaluation target.

[0159] In some examples, in the aforementioned step 140, the comprehensive relative closeness corresponding to the evaluation target is determined based on the static evaluation results and dynamic evaluation results corresponding to the evaluation target, including: obtaining the evaluation weights corresponding to the static evaluation results and the dynamic evaluation results respectively; and calculating the comprehensive relative closeness of the evaluation target using the quadratic weighted method for the static evaluation results and the dynamic evaluation results.

[0160] Specifically, the static evaluation results and the dynamic evaluation results are calculated using the quadratic weighted method to obtain the comprehensive relative closeness of the evaluation target, which can be expressed as the following formula:

[0161] U i =αC i +βΔC i (t)

[0162] Among them, U i It refers to the comprehensive relative closeness, α is the weight of the static evaluation result, β is the weight of the dynamic evaluation result, C i is the static evaluation result, ΔC i (t) is the dynamic evaluation result. i , α and β are both greater than or equal to 0 and less than or equal to 1, α + β = 1

[0163] Specifically, the greater the comprehensive relative closeness, the smaller the negative impact of the evaluation target on the environment.

[0164] Step 150: Determine the environmental impact level of the evaluation target based on the comprehensive relative closeness.

[0165] Specifically, the environmental impact level refers to the level of negative impact of the preset evaluation target on the environment. The higher the level, the greater the negative impact on the environment.

[0166] In some examples, determining the environmental impact level of the evaluation target based on the comprehensive relative closeness includes determining the environmental impact level corresponding to the comprehensive relative closeness from a preset correlation table, wherein the preset correlation table stores the correspondence between the comprehensive relative closeness and the environmental impact level.

[0167] In some examples, when the environmental impact level is less than or equal to a preset threshold, the evaluation indicator corresponding to the evaluation target that requires supervision can be identified. Based on the evaluation indicator that requires supervision, the relevant sub-projects can be determined. Corresponding improvement measures can then be taken for the relevant sub-projects to reduce the environmental impact of highway construction in these sub-projects. Thus, based on the evaluation indicator that requires optimization, the specific sub-projects that require optimization can be determined, and targeted improvement measures can be taken for the corresponding sub-projects, effectively reducing the environmental impact of highway construction in these sub-projects.

[0168] In some examples, when the environmental impact level is less than or equal to a preset threshold, the evaluation indicator corresponding to the evaluation target that requires supervision can be identified. Based on the evaluation indicator, the relevant sub-stage can be determined. Optimization measures can then be taken for the relevant sub-stage to reduce the environmental impact of highway construction during the relevant sub-stage. Thus, it can be seen that the specific sub-stages that require supervision can be determined based on the evaluation indicator that requires supervision, enabling targeted and effective improvement measures to be taken for different sub-stages, effectively and accurately reducing the environmental impact of highway construction during each sub-stage.

[0169] In some examples, when the comprehensive relative closeness is less than or equal to a preset threshold, for the original data corresponding to each evaluation indicator, if the original data is not within the standard parameter range corresponding to the evaluation indicator, the evaluation indicator is deemed to be an evaluation indicator that needs to be optimized.

[0170] In some examples, a TOPSIS-based low environmental impact assessment can be used to analyze dynamic and static evaluation models to determine a preset threshold. This threshold serves as a baseline for the comprehensive relative closeness of the highway's low environmental impact construction evaluation level, i.e., the "qualified" level for low environmental impact highways. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-index decision analysis method that ranks each solution by calculating its proximity to an "ideal solution" and a "negative ideal solution."

[0171] In some examples, based on a preset threshold, a natural breakpoint method can be used to determine an evaluation level of low environmental impact of a highway, where the evaluation level includes excellent, good, qualified, and unqualified.

[0172] Specifically, the definition of evaluation level and the relationship between evaluation level and comprehensive relative closeness can be found in Table 7:

[0173] Table 7 Relationship between evaluation level and comprehensive relative closeness

[0174]

[0175] In summary, this scheme obtains raw data for multiple evaluation indicators of the evaluation target; multiple evaluation indicators are determined based on the target layer-criteria layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method; for each evaluation indicator, the raw data is calculated according to the preset calculation method corresponding to the evaluation indicator, and the calculation results are standardized to obtain standard data; based on the standard data, static evaluation models and dynamic evaluation models for low environmental impact construction evaluation are constructed, and static evaluation results and dynamic evaluation results corresponding to the evaluation target are obtained; based on the static and dynamic evaluation results corresponding to the evaluation target, the comprehensive relative closeness corresponding to the evaluation target is determined; and the environmental impact level of the evaluation target is determined based on the comprehensive relative closeness. By analyzing the standard data corresponding to the evaluation indicators of multiple dimensions, dynamic and static evaluation results of low environmental impact construction evaluation are obtained, and then the comprehensive relative closeness of the evaluation target's low environmental impact is determined based on the dynamic and static evaluation results. The level of environmental impact of the evaluation target's construction on the environment is determined based on the comprehensive relative closeness, and the environmental impact level is systematically and comprehensively obtained, thereby effectively guiding construction units to improve the negative environmental impact of highway construction. Utilizing multidimensional evaluation indicators to assess the environmental impact of assessment targets improves the accuracy of the comprehensive relative closeness between the actual environmental impact of assessment targets and the ideal low-impact solution, thereby obtaining an accurate environmental impact rating and effectively controlling the environmental impact of highway construction. This proposal replaces traditional static assessment methods by constructing a dynamic-static fusion assessment method using multi-dimensional comprehensive (static) and dynamic evaluation indicators. This facilitates a dynamic and realistic representation and depiction of environmental impacts, resulting in more objective and accurate assessment results. Furthermore, quantification of each evaluation indicator enhances the accuracy of assessments based on evaluation indicators regarding the environmental impact of highway construction.

[0176] Example 2:

[0177] Another embodiment of the present application relates to a low environmental impact construction evaluation data analysis device based on highway environmental index information. The implementation details of the low environmental impact construction evaluation data analysis device based on highway environmental index information of this embodiment are specifically described below. The following content is only for the convenience of understanding the implementation details, and is not necessary for the implementation of this solution. The schematic diagram of the low environmental impact construction evaluation data analysis device 30 based on highway environmental index information of this embodiment can be as follows Figure 3 As shown, it includes an acquisition module 301, a processing module 302, a construction module 303 and a determination module 304.

[0178] The acquisition module 301 is used to obtain the original data of multiple evaluation indicators of the evaluation target; the multiple evaluation indicators are determined based on the target layer-criterion layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method;

[0179] The processing module 302 is used to calculate the original data according to the preset calculation method corresponding to each evaluation indicator, and standardize the calculation results to obtain standard data;

[0180] A construction module 303 is used to construct a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation based on standard data, and obtain static evaluation results and dynamic evaluation results corresponding to the evaluation target;

[0181] A determination module 304 is configured to determine a comprehensive relative closeness corresponding to the evaluation target based on the static evaluation results and the dynamic evaluation results corresponding to the evaluation target;

[0182] The determination module 305 is further configured to determine the environmental impact level of the evaluation target based on the comprehensive relative closeness.

[0183] It is worth mentioning that all modules involved in this embodiment are logical modules. In actual applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, to highlight the innovation of this application, this embodiment does not include units that are not closely related to solving the technical problem proposed by this application. However, this does not mean that other units do not exist in this embodiment.

[0184] Example 3:

[0185] Another embodiment of the present application relates to an electronic device, such as Figure 4As shown, it includes: at least one processor 901; and a memory 902 that is communicatively connected to the at least one processor 901; wherein the memory 902 stores instructions that can be executed by the at least one processor 901, and the instructions are executed by the at least one processor 901 so that the at least one processor 901 can execute the low environmental impact construction evaluation data analysis method based on highway environmental index information in the above-mentioned embodiments.

[0186] The memory and processor are connected using a bus, which can include any number of interconnected buses and bridges. The bus connects various circuits of one or more processors and memories. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits. These are all well known in the art and are therefore not described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single component or multiple components, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over a wireless medium via an antenna. Furthermore, the antenna receives data and transmits it to the processor.

[0187] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0188] Example 4:

[0189] Another embodiment of the present application relates to a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0190] That is, those skilled in the art will understand that all or part of the steps in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a program, which is stored in a storage medium and includes a number of instructions for causing a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps in the various embodiments of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., various media that can store program code.

[0191] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and that in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A method for analyzing low environmental impact construction evaluation data based on highway environmental index information, characterized in that: include: Obtaining original data of multiple evaluation indicators of the evaluation target; The multiple evaluation indicators are determined based on the target layer-criterion layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method; For each evaluation indicator, the raw data is calculated according to a preset calculation method corresponding to the evaluation indicator, and the calculation results are standardized to obtain standard data; Based on the standard data, a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation are respectively constructed, and a static evaluation result and a dynamic evaluation result corresponding to the evaluation target are obtained; Determining a comprehensive relative closeness of the evaluation target based on the static evaluation result and the dynamic evaluation result corresponding to the evaluation target; The environmental impact level of the evaluation target is determined based on the comprehensive relative closeness.

2. The low environmental impact construction evaluation data analysis method based on highway environmental index information according to claim 1 is characterized in that: The multiple evaluation indicators include comprehensive evaluation indicators. A static evaluation model for low environmental impact construction evaluation is constructed based on the standard data, and a static evaluation result corresponding to the evaluation target is obtained, including: Constructing a standard data matrix based on the standard data corresponding to the comprehensive evaluation indicators, and normalizing the standard data matrix to obtain a normalized decision matrix; Based on the evaluation weight of each comprehensive evaluation indicator, the normalized decision matrix is ​​weighted to obtain a weighted normalized decision matrix; Determining a positive ideal solution and a negative ideal solution for the highway with low environmental impact corresponding to the evaluation target based on the weighted normalized decision matrix; Based on the weighted normalized decision matrix, determining the Euclidean distance between the data corresponding to each comprehensive evaluation indicator in the weighted normalized decision matrix and the positive ideal solution and the negative ideal solution; Determining a static relative closeness between the evaluation target and the ideal solution for highway low environmental impact based on the Euclidean distances between the data corresponding to each comprehensive evaluation indicator and the positive ideal solution and the negative ideal solution; The static relative closeness is used as the static evaluation result corresponding to the evaluation target.

3. The low environmental impact construction evaluation data analysis method based on highway environmental index information according to claim 1 is characterized in that: The multiple evaluation indicators also include dynamic evaluation indicators; the dynamic evaluation model for low environmental impact construction evaluation is constructed based on the standard data, and the dynamic evaluation results corresponding to the evaluation targets are obtained, including: Constructing a dynamic evaluation indicator matrix based on standard data corresponding to the dynamic evaluation indicators, and normalizing the dynamic evaluation indicator matrix to obtain a dynamically changing normalized decision matrix; Based on the evaluation weight of each of the dynamic evaluation indicators, the dynamic change normalized decision matrix is ​​weighted to obtain a weighted dynamic change normalized decision matrix; Determining a positive ideal solution and a negative ideal solution of the dynamic change matrix of the evaluation target based on the weighted dynamic change normalized decision matrix; Based on the weighted dynamic change normalized decision matrix, determining the Euclidean distance between the data corresponding to each dynamic evaluation indicator in the weighted dynamic change normalized decision matrix and the positive ideal solution and the negative ideal solution of the dynamic change matrix; Determining the dynamic relative closeness between the environmental impact of the evaluation target and the ideal solution for low environmental impact of the highway based on the Euclidean distance between the data corresponding to each dynamic evaluation index and the positive ideal solution and the negative ideal solution of the dynamic change matrix; The dynamic relative closeness is used as the dynamic evaluation result corresponding to the evaluation target.

4. The low environmental impact construction evaluation data analysis method based on highway environmental index information according to claim 1 is characterized in that: The determining of the comprehensive relative closeness of the evaluation target based on the static evaluation result and the dynamic evaluation result corresponding to the evaluation target includes: Obtaining evaluation weights corresponding to the static evaluation result and the dynamic evaluation result respectively; The static evaluation result and the dynamic evaluation result are calculated using a quadratic weighting method to obtain a comprehensive relative closeness to the evaluation target.

5. The low environmental impact construction evaluation data analysis method based on highway environmental index information according to claim 2 is characterized in that: A static evaluation model for low environmental impact construction evaluation is constructed based on the standard data, and static evaluation results corresponding to the evaluation objectives are obtained, including: Using the comprehensive evaluation indicators as a data source for constructing a static evaluation model; Based on the standard data corresponding to the comprehensive evaluation indicators, a static evaluation model for low environmental impact construction evaluation is constructed, and a static evaluation result corresponding to the evaluation target is obtained.

6. The low environmental impact construction evaluation data analysis method based on highway environmental index information according to claim 1 is characterized in that: The raw data of multiple evaluation indicators of the evaluation target are obtained, including: Identifying the target sub-stage to be evaluated of the evaluation target; the evaluation target includes at least one sub-stage; Obtaining at least one sub-stage evaluation indicator corresponding to the target sub-stage; The original data of the evaluation index of each sub-stage of the evaluation target in the target sub-stage is obtained.

7. The low environmental impact construction evaluation data analysis method based on highway environmental index information according to claim 1 or 6, characterized in that: The raw data of multiple evaluation indicators of the evaluation target are obtained, including: Identify the target sub-unit project to be evaluated of the evaluation target; the evaluation target includes at least one sub-unit project; Obtaining at least one sub-unit engineering evaluation index corresponding to the target sub-project part; Obtain the original data of each of the evaluation indicators of the sub-unit projects corresponding to the evaluation target.

8. A low environmental impact construction evaluation data analysis device based on highway environmental index information, characterized in that: include: An acquisition module is used to obtain the original data of multiple evaluation indicators of the evaluation target; The multiple evaluation indicators are determined based on the target layer-criterion layer-indicator layer evaluation indicator system framework constructed based on the hierarchical analysis method; A processing module, configured to calculate the raw data according to a preset calculation method corresponding to each evaluation indicator, and to standardize the calculation results to obtain standard data; A construction module is used to construct a static evaluation model and a dynamic evaluation model for low environmental impact construction evaluation based on the standard data, and obtain static evaluation results and dynamic evaluation results corresponding to the evaluation target; a determination module, configured to determine a comprehensive relative closeness of the evaluation target based on the static evaluation result and the dynamic evaluation result corresponding to the evaluation target; The determination module is further configured to determine the environmental impact level of the evaluation target based on the comprehensive relative closeness.

9. An electronic device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the low environmental impact construction evaluation data analysis method based on highway environmental index information as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the low environmental impact construction evaluation data analysis method based on highway environmental index information according to any one of claims 1 to 7 is implemented.

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