Recycled asphalt pavement energy conservation and emission reduction quantitative analysis and evaluation method and system

Abstract

The invention discloses a recycled asphalt pavement energy conservation and emission reduction quantitative analysis and evaluation method and system, and relates to the field of recycled asphalt pavement energy conservation and emission reduction quantitative analysis. According to the energy conservation and emission reduction quantitative analysis and evaluation method for the recycled asphalt pavement, when the to-be-recycled asphalt pavement is subjected to thermal regeneration process repair, regeneration cycle energy consumption and emission data of the to-be-recycled asphalt pavement are obtained, data analysis is performed respectively, and a production energy consumption and emission evaluation index, a transportation energy consumption and emission evaluation index and a construction energy consumption and emission evaluation index are obtained; according to the method, the comprehensive evaluation index of the to-be-regenerated asphalt pavement and the preset comprehensive evaluation index threshold value are compared and analyzed, and the corresponding optimization measures are taken based on the comparison and analysis result, so that the energy efficiency condition and the emission level of each link are accurately quantified; and furthermore, an abnormal evaluation index is found and optimized, so that the energy consumption and greenhouse gas emission are reduced, and the environmental burden is reduced.

Description

Technical Field

[0001] The present invention relates to the field of quantitative analysis of energy conservation and emission reduction of regenerated asphalt pavement, and in particular to a quantitative analysis and evaluation method and system for energy conservation and emission reduction of regenerated asphalt pavement. Background Art

[0002] Energy and environmental issues are becoming increasingly severe. In the field of roads, asphalt pavement regeneration technology can recycle and utilize old pavement materials to a large extent, greatly reducing energy consumption and gas emissions during pavement construction, and achieving good economic and social benefits. However, less attention is paid to energy consumption and greenhouse gas emissions during the regeneration process. The environmental impact caused by pavement regeneration is often ignored, and the environmental impact assessment of regeneration technology is relatively vague, which is not conducive to the advancement of environmental impact research in the field of regenerated road construction. Therefore, in order to further improve the low-carbon and environmentally friendly regenerated asphalt pavement construction model with energy conservation and emission reduction as the main feature, and to promote production enterprises and management departments to pay attention to energy conservation and emission reduction issues, it is necessary to establish a regenerated asphalt pavement energy conservation and emission reduction analysis and evaluation system with energy consumption and emission quantitative analysis as the core.

[0003] The prior art, such as the patent application with announcement number: CN115684567A, discloses a life cycle assessment method for recycled asphalt pavement based on physical fine separation technology, which includes the following steps: Step 1: Determine the purpose and scope of the study; Step 2: Life cycle inventory analysis; Step 3: Life cycle impact analysis; Step 4: Life cycle impact interpretation. From the perspective of the life cycle, the present invention comprehensively analyzes the energy consumption and emission values ​​of each stage of asphalt pavement construction, determines the dominant stage with the greatest impact on the environment in the life cycle, quantifies the environmental impact of different recycled asphalt pavements and newly built asphalt pavements, and clarifies the huge environmental benefits brought by the efficient use of physical fine separation RAP in asphalt pavement construction.

[0004] Based on the above solution, it is found that the limitations of the existing technology include at least the following problems: the existing technology lacks sufficient subdivision and refined analysis, ignores the differences between the various stages in the life cycle of recycled asphalt pavement, and is difficult to make precise adjustments according to the specific life cycle stage, which can easily lead to effective reductions in energy consumption and emissions in actual operations, making it difficult to achieve the expected energy-saving and emission reduction effects, thereby affecting the resource utilization efficiency and environmental benefits in the pavement repair process. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a quantitative analysis and evaluation method and system for energy conservation and emission reduction of regenerated asphalt pavement, which solves the problem that the prior art ignores the differences between various stages in the life cycle of regenerated asphalt pavement and is difficult to make accurate adjustments according to specific life cycle stages.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a quantitative analysis and evaluation method for energy conservation and emission reduction of regenerated asphalt pavement, comprising the following steps: when the asphalt pavement to be regenerated is repaired by a thermal regeneration process, the regeneration cycle energy consumption and emission data of the asphalt pavement to be regenerated are obtained, and the regeneration cycle energy consumption and emission data include production energy consumption and emission data, transportation energy consumption and emission data, and construction energy consumption and emission data; data analysis is performed on the regeneration cycle energy consumption and emission data of the asphalt pavement to be regenerated to obtain the production energy consumption and emission evaluation index, transportation energy consumption and emission evaluation index, and construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated, and a comprehensive analysis is performed to obtain the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be regenerated; the comprehensive evaluation index of the asphalt pavement to be regenerated is compared and analyzed with a preset comprehensive evaluation index threshold; if the comprehensive evaluation index of the asphalt pavement to be regenerated is lower than the preset comprehensive evaluation index threshold, the abnormal evaluation index is identified, and corresponding optimization measures are taken; if the comprehensive evaluation index of the asphalt pavement to be regenerated is not lower than the preset comprehensive evaluation index threshold, no optimization measures are taken.

[0007] Furthermore, the production energy consumption and emission data include production energy consumption value, total production value, raw material particle size distribution index, production energy demand value, production greenhouse gas emission value, production pollutant gas emission value, production mixing time value, regeneration agent addition value, and the service life and maintenance times of each production equipment; the transportation energy consumption and emission data include transportation distance value, transportation load value, transportation fuel consumption rate value, transportation road slope value, transportation emission pollution index, transportation engine efficiency value, transportation engine load index, transportation climate condition index, and transportation driving behavior index; the construction energy consumption and emission data include construction equipment power, construction equipment operating time value, construction area value, construction compaction efficiency index, construction energy consumption value, construction emission pollution index, construction air fluidity value, and construction combustion efficiency value.

[0008] Furthermore, the specific formula for calculating the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be regenerated is as follows: Among them, ZhP is the comprehensive energy consumption emission evaluation index of the asphalt pavement to be regenerated, ZpN, YsP, and SgP are the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, respectively, α1, α2, α3, and η are the production coefficient, transportation coefficient, construction coefficient, and interaction coefficient stored in the database, respectively, and α1+α2+α3=1.

[0009] Furthermore, the specific steps for obtaining the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: obtain the reference service life value of each production equipment of the asphalt pavement to be regenerated, and conduct a comprehensive analysis in combination with the service life value and the number of maintenance times to obtain the production equipment wear index of the asphalt pavement to be regenerated; obtain the reference index of the raw material particle size distribution of the asphalt pavement to be regenerated, and conduct a comprehensive analysis in combination with the production energy consumption value, the total production value, the raw material particle size distribution index, the production energy demand value, and the production equipment wear index to obtain the production energy efficiency index of the asphalt pavement to be regenerated; standardize the production greenhouse gas emission values, production pollutant gas emission values, and production mixing time values ​​of the asphalt pavement to be regenerated; and conduct a comprehensive analysis based on the standardized production greenhouse gas emission values, production pollutant gas emission values, and production mixing time values ​​of the regenerated asphalt pavement to obtain the production emission index of the asphalt pavement to be regenerated; and conduct a comprehensive analysis of the production energy efficiency index, production emission index, and regeneration agent addition value of the asphalt pavement to be regenerated to obtain the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

[0010] Furthermore, the specific formulas for calculating the production energy efficiency index and production energy consumption emission evaluation index of the asphalt pavement to be recycled are as follows: Among them, NsX is the production energy efficiency index of the asphalt pavement to be regenerated, SnH, ScL, SnM, LbF, CbF, and SmZ are the production energy consumption value, total production value, production energy demand value, raw material particle size distribution index, raw material particle size distribution reference index, and production equipment wear index of the asphalt pavement to be regenerated, respectively; φ1 and φ2 are the distribution adjustment coefficient and wear adjustment coefficient stored in the database, respectively; ZpN is the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated; ZtL and SpF are the regeneration agent addition amount and production emission index of the asphalt pavement to be regenerated, respectively; β1, β2, and β3 are the energy efficiency adjustment coefficient, regeneration agent adjustment coefficient, and emission adjustment coefficient stored in the database, respectively; δ1 and δ2 are the energy efficiency coefficient and emission coefficient stored in the database, respectively.

[0011] Furthermore, the specific steps for obtaining the transport energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: obtain the transmission efficiency of each transport vehicle, and conduct a comprehensive analysis in combination with the transport road slope value of the asphalt pavement to be regenerated to obtain the road energy efficiency correction index of the asphalt pavement to be regenerated; conduct a comprehensive analysis on the transport distance value, transport load value, transport fuel consumption rate value, and road energy efficiency correction index of the asphalt pavement to be regenerated to obtain the transport energy efficiency index of the asphalt pavement to be regenerated; conduct a comprehensive analysis on the transport pollution emission index, transport engine efficiency value, and transport engine load index of the asphalt pavement to be regenerated to obtain the transport emission index of the asphalt pavement to be regenerated; and normalize the transport energy efficiency index, transport emission index, transport climate condition index, and transport driving behavior index of the asphalt pavement to be regenerated; conduct a comprehensive analysis based on the normalized transport energy efficiency index, transport emission index, transport climate condition index, and transport driving behavior index of the asphalt pavement to be regenerated to obtain the transport energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

[0012] Furthermore, the specific steps for obtaining the construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: obtain the rated power of the construction equipment and the reference operation time of the construction equipment of the asphalt pavement to be regenerated; and conduct a comprehensive analysis on the power of the construction equipment, the operation time of the construction equipment, the construction area, the construction compaction efficiency index, the construction energy consumption, the rated power of the construction equipment and the reference operation time of the construction equipment to be regenerated, so as to obtain the construction energy efficiency index of the asphalt pavement to be regenerated; standardize the construction emission pollution index, the construction air fluidity value and the construction combustion efficiency value of the asphalt pavement to be regenerated; conduct a comprehensive analysis based on the construction emission pollution index, the construction air fluidity value and the construction combustion efficiency value of the regenerated asphalt pavement after the standardization, so as to obtain the construction emission index of the asphalt pavement to be regenerated; and normalize the construction energy efficiency index and the construction emission index of the asphalt pavement to be regenerated; and conduct a comprehensive analysis on the normalized construction energy efficiency index and the construction emission index of the asphalt pavement to be regenerated, so as to obtain the construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

[0013] Furthermore, the specific formulas for calculating the construction energy efficiency index, construction emission index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated are as follows: Among them, GsN is the construction energy efficiency index of the asphalt pavement to be regenerated, SgH, MsG, SbG, CbG, GyS, CyS, and GhS are the construction energy consumption value, construction area value, construction equipment power, construction equipment rated power, construction equipment operation time value, construction equipment operation reference time value, and construction compaction efficiency index of the asphalt pavement to be regenerated, respectively; θ1, θ2, θ3, and θ4 are the initial energy efficiency adjustment coefficient, power adjustment coefficient, operation time adjustment coefficient, and compaction adjustment coefficient stored in the database, respectively; GpF is the construction emission index of the asphalt pavement to be regenerated, and GwZ′, KqL′, and SrX′ are respectively are the construction emission pollution index, construction air fluidity value, and construction combustion efficiency value of the regenerated asphalt pavement after normalization. τ1, τ2, τ3, and τ4 are the construction emission pollution adjustment coefficient, fluidity adjustment coefficient, construction combustion efficiency adjustment coefficient, and construction interaction adjustment coefficient stored in the database, respectively. SgP is the construction energy consumption emission evaluation index of the asphalt pavement to be regenerated. GsN′ and GpF′ are the construction energy efficiency index and construction emission index of the asphalt pavement to be regenerated after normalization, respectively. σ1 and σ2 are the construction energy efficiency coefficient and construction emission coefficient stored in the database, respectively. σ1+σ2=1, and e is a natural constant.

[0014] Furthermore, the specific steps of identifying abnormal evaluation indexes and taking corresponding optimization measures are as follows: the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated are judged and analyzed with the preset production energy consumption emission evaluation index threshold, transportation energy consumption emission evaluation index threshold, and construction energy consumption emission evaluation index threshold respectively; if the production energy consumption emission evaluation index of the asphalt pavement to be regenerated is lower than the preset production energy consumption emission evaluation index threshold, the production energy consumption emission evaluation index is marked as an abnormal evaluation index, and production optimization measures are taken; if the transportation energy consumption emission evaluation index of the asphalt pavement to be regenerated is lower than the preset transportation energy consumption emission evaluation index threshold, the transportation energy consumption emission evaluation index is marked as an abnormal evaluation index, and production optimization measures are taken; if the construction energy consumption emission evaluation index of the asphalt pavement to be regenerated is lower than the preset construction energy consumption emission evaluation index threshold, the production energy consumption emission evaluation index is marked as an abnormal evaluation index, and production optimization measures are taken.

[0015] The energy conservation and emission reduction quantitative analysis and evaluation system for regenerated asphalt pavement comprises: a data acquisition module, a data analysis module, a comprehensive analysis module, a comparison analysis module, a first optimization module and a second optimization module; the data acquisition module is used to obtain the energy consumption and emission data of the regeneration period of the asphalt pavement to be regenerated when the asphalt pavement to be regenerated is repaired by a thermal regeneration process, and the energy consumption and emission data of the regeneration period include production energy consumption and emission data, transportation energy consumption and emission data, and construction energy consumption and emission data; the data analysis module is used to respectively analyze the energy consumption and emission data of the regeneration period of the asphalt pavement to be regenerated, and obtain the production energy consumption and emission evaluation index, transportation energy consumption and emission evaluation index, and construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated. The comprehensive analysis module is used to comprehensively analyze the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, so as to obtain the comprehensive energy consumption emission evaluation index of the asphalt pavement to be regenerated; the comparison analysis module is used to compare and analyze the comprehensive evaluation index of the asphalt pavement to be regenerated with a preset comprehensive evaluation index threshold; the first optimization module is used to identify abnormal evaluation indexes and take corresponding optimization measures if the comprehensive evaluation index of the asphalt pavement to be regenerated is lower than the preset comprehensive evaluation index threshold; the second optimization module is used to not take optimization measures if the comprehensive evaluation index of the asphalt pavement to be regenerated is not lower than the preset comprehensive evaluation index threshold.

[0016] The present invention has the following beneficial effects:

[0017] (1) The quantitative analysis and evaluation method for energy conservation and emission reduction of regenerated asphalt pavement can accurately quantify the energy efficiency and emission level of each link by conducting a detailed quantitative analysis of the energy consumption and emission data of each link of the regenerated asphalt pavement. It can also accurately detect abnormal evaluation indexes through comprehensive analysis and comparison with preset thresholds, so as to carry out targeted optimization of links with problems, thereby reducing energy consumption and greenhouse gas emissions, and reducing the environmental burden during the construction process. For example, in the analysis of the amount of regeneration agent added and the wear index of production equipment, it can provide a specific basis for improving the energy efficiency of the production link and avoid excessive consumption and emissions.

[0018] (2) The energy conservation and emission reduction quantitative analysis and evaluation method of recycled asphalt pavement can accurately identify energy efficiency problems that exceed the preset threshold through detailed data tracking and comparison of energy consumption and emissions at each link in the life cycle, thereby preventing resource waste due to unreasonable operations. Through precise energy conservation and emission reduction quantification and optimization adjustment, it can effectively avoid high-energy consumption and high-emission operations that do not meet environmental protection requirements, thereby ensuring that each stage operates within a reasonable energy efficiency range, thereby effectively reducing environmental pollution.

[0019] (3) The quantitative analysis and evaluation method for energy conservation and emission reduction of recycled asphalt pavement compares the comprehensive energy consumption and emission evaluation index with the preset threshold during the implementation process to identify abnormal links and actively initiate optimization measures, so as to make fine adjustments to specific problems, thereby improving the immediate response capability of energy conservation and emission reduction, and enabling the optimization measures to be implemented accurately and efficiently, thereby improving the energy conservation effect of the overall project.

[0020] (4) The energy conservation and emission reduction quantitative analysis and evaluation system for recycled asphalt pavement can significantly improve resource utilization efficiency and reduce the overall cost of the project through precise data analysis and optimization measures. Based on various modules, it can comprehensively collect and analyze energy consumption and emission data of each link, identify specific energy-saving potential, and reduce operating costs, thereby improving economic benefits, and effectively reducing greenhouse gas and pollution emissions. Without sacrificing project quality, it can reduce excessive use of resources and promote sustainable development.

[0021] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of the quantitative analysis and evaluation method for energy conservation and emission reduction of regenerated asphalt pavement of the present invention.

[0023] Figure 2 The present invention is a flowchart of the steps of obtaining the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated in the quantitative analysis and evaluation method for energy conservation and emission reduction of the regenerated asphalt pavement of the present invention.

[0024] Figure 3 This is a block diagram of the quantitative analysis and evaluation system for energy conservation and emission reduction of regenerated asphalt pavement according to the present invention. DETAILED DESCRIPTION

[0025] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0026] When the asphalt pavement to be regenerated is repaired by the thermal regeneration process, the energy consumption and emission data of the regeneration period of the asphalt pavement to be regenerated is obtained, and the data are analyzed separately to obtain the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated. A comprehensive analysis is performed to obtain the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be regenerated. The comprehensive evaluation index of the asphalt pavement to be regenerated is compared and analyzed with the preset comprehensive evaluation index threshold, and corresponding optimization measures are taken based on the comparison and analysis results.

[0027] See also Figure 1The embodiment of the present invention provides a technical solution: a quantitative analysis and evaluation method for energy conservation and emission reduction of regenerated asphalt pavement, comprising the following steps: when the asphalt pavement to be regenerated is repaired by a thermal regeneration process, the regeneration cycle energy consumption and emission data of the asphalt pavement to be regenerated are obtained, and the regeneration cycle energy consumption and emission data include production energy consumption and emission data, transportation energy consumption and emission data, and construction energy consumption and emission data; data analysis is performed on the regeneration cycle energy consumption and emission data of the asphalt pavement to be regenerated to obtain the production energy consumption and emission evaluation index, transportation energy consumption and emission evaluation index, and construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated, and a comprehensive analysis is performed to obtain the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be regenerated; the comprehensive evaluation index of the asphalt pavement to be regenerated is compared and analyzed with a preset comprehensive evaluation index threshold; if the comprehensive evaluation index of the asphalt pavement to be regenerated is lower than the preset comprehensive evaluation index threshold, the abnormal evaluation index is identified, and corresponding optimization measures are taken; if the comprehensive evaluation index of the asphalt pavement to be regenerated is not lower than the preset comprehensive evaluation index threshold, no optimization measures are taken.

[0028] The specific formula for calculating the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be recycled is as follows: Among them, ZhP is the comprehensive energy consumption emission evaluation index of the asphalt pavement to be regenerated, ZpN is the production energy consumption emission evaluation index of the asphalt pavement to be regenerated, α1 is the production coefficient stored in the database, YsP is the transportation energy consumption emission evaluation index of the asphalt pavement to be regenerated, α2 is the transportation coefficient stored in the database, SgP is the construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, α3 is the construction coefficient stored in the database, η is the interaction coefficient stored in the database, α1+α2+α3=1.

[0029] It needs to be explained that the term η*ZpN*YsP*SgP in the formula is used to adjust the superposition effect of the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index and construction energy consumption emission evaluation index of the regenerated asphalt pavement to prevent the comprehensive energy consumption emission evaluation index from being too high or too low.

[0030] And η can be obtained through the following steps: using historical data, combined with the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index indicators, statistical regression analysis is carried out to quantify the specific impact of each factor on the comprehensive energy consumption emission evaluation index after superposition, so as to fit the initial weight value. Secondly, the sensitivity analysis method is used to adjust the value range and observe its impact on the comprehensive energy consumption emission evaluation results to ensure the stability and rationality of the model.

[0031] α1, α2, and α3 can be obtained through the following steps: read the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, and perform sum analysis to obtain a comprehensive evaluation value, and perform a proportion analysis on the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated and the comprehensive evaluation value, respectively, and use the proportion analysis results as the corresponding coefficients.

[0032] The specific implementation example of calculating the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be regenerated is as follows, and the following data are available:

[0033] The production energy consumption and emission evaluation index of recycled asphalt pavement is approximately: 1.62.

[0034] The transportation energy consumption emission evaluation index of the recycled asphalt pavement is approximately: 1.26.

[0035] The construction energy consumption and emission evaluation index of the recycled asphalt pavement is approximately: 1.83.

[0036] The production coefficient stored in the database is approximately: 0.34.

[0037] The transport coefficient stored in the database is approximately: 0.27.

[0038] The construction factor stored in the database is approximately: 0.39.

[0039] The interaction coefficient stored in the database is approximately: 0.89.

[0040] Substituting the above data into the specific formula of the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be recycled, we get:

[0041] Comprehensive energy consumption and emission evaluation index of asphalt pavement to be recycled

[0042] =exp((0.34*1.62+0.27*1.26+0.39*1.83) / (0.86*1.62*1.26*1.83))≈1.55.

[0043] The production energy consumption and emission data include production energy consumption value, total production value, raw material particle size distribution index, production energy demand value, production greenhouse gas emission value, production pollutant emission value, production mixing time value, regeneration agent addition value, and the service life and maintenance times of each production equipment. The transportation energy consumption and emission data include transportation distance value, transportation load value, transportation fuel consumption rate value, transportation road slope value, transportation emission pollution index, transportation engine efficiency value, transportation engine load index, transportation climate condition index, and transportation driving behavior index. The construction energy consumption and emission data include construction equipment power, construction equipment operating time value, construction area value, construction compaction efficiency index, construction energy consumption value (consistent with the steps for obtaining the production energy consumption value), construction emission pollution index (consistent with the steps for obtaining the transportation emission pollution index), construction air fluidity value, and construction combustion efficiency value.

[0044] Among them, the production energy consumption value is the sum of all energy consumption used in the production process, such as: the sum of energy consumption in terms of electricity consumption (obtained from the electricity meter), fuel consumption (obtained from the fuel flow meter), and heat energy consumption (obtained from the heat energy meter) (converted into units and then accumulated).

[0045] The total production value is the total amount of the product produced (ie, the final asphalt product used to repair the road surface), which can be obtained through the production records stored in the database.

[0046] The raw material distribution index is the uniformity of the particle size distribution of raw materials (such as aggregates, powders, asphalt, etc.), which can be obtained by sampling, that is, a certain number of samples are randomly selected multiple times and put into a laser particle size analyzer (laser beam irradiates particles, particles and beams scatter, and the angle and intensity of scattered light are used to infer the size of particles) for detection, and automatically calculate and generate D10 (10% of the particles have a particle size less than or equal to D10, and D10 represents the maximum particle size of fine particles in the material), D50 (same as D10), D90 (same as D10) particle size index. And perform weighted processing, perform average processing based on the weighted processing results of each sampling point, and the result is the parameter.

[0047] The production greenhouse gas emission value is the total amount of greenhouse gases (such as carbon dioxide, methane, nitrous oxide, etc.) emitted during the production process, and the emission of each greenhouse gas can be obtained through the corresponding monitoring equipment. For example, carbon dioxide can be obtained using an infrared absorption sensor.

[0048] The production pollutant gas emission value is the total emission of pollutant gases (such as sulfur dioxide, carbon monoxide, particulate matter, etc.) generated during the production process, and the emission of each pollutant gas can be obtained through the corresponding monitoring equipment, such as carbon monoxide can be obtained through electrochemical sensors.

[0049] The production mixing duration value is the time for mixing different materials (such as asphalt and aggregate) during the production process, which can be obtained through the timer in the production equipment.

[0050] The value of the amount of regeneration agent added is the proportion of the regeneration agent added to restore the pavement performance in the production of recycled asphalt, which can be obtained through the technical data manual provided by the regeneration agent manufacturer stored in the database.

[0051] The transport load value is the sum of the loads of all vehicles during the transport process, and the load of each vehicle can be obtained through a load sensor.

[0052] The transport fuel consumption rate value is the sum of the fuel consumed per kilometer of all vehicles during the transport process, and the fuel consumed by each vehicle can be obtained through an OBD-II scanner (connected to the OBD-II interface of the vehicle and reads data).

[0053] The slope value of the transport road is the average of all the slopes that the vehicle passes through during the transport process (which can be obtained through the tilt sensor). The greater the slope, the greater the energy consumption.

[0054] The transport pollution emission index is the emission level of polluting gases (such as carbon dioxide, nitrogen oxides, and particulate matter) generated during the transportation process. The emission of each polluting gas is weighted, and the result is this parameter.

[0055] The transport engine efficiency value is an average value of the efficiency of the engine of each vehicle in converting the chemical energy of the fuel into mechanical energy (for driving the vehicle), and the transport engine efficiency value of each vehicle can be obtained through the engine specifications stored in the database.

[0056] The transport engine load index is the average of the working intensity of each vehicle during the transport process, and the working intensity of each vehicle = actual output power (consistent with the method of obtaining the transport fuel consumption rate value) / maximum output power (which can be obtained through the engine specifications stored in the database).

[0057] The transport climate conditions index is a comprehensive expression of the temperature, humidity and wind speed values ​​during the transportation process. That is, the temperature, humidity and wind speed values ​​are standardized, and the average is performed based on the standardized results. The result is the transport climate conditions index. Extreme climate (such as cold, high humidity or strong wind) is likely to increase energy consumption and emissions.

[0058] The transport driving behavior index is a comprehensive value of the acceleration and braking frequency of each driver during the transportation process. That is, each driver's acceleration frequency value and braking frequency are weighted, and the average is performed based on the weighted processing results. The result is the transport driving behavior index. Frequent acceleration and sudden braking can easily lead to additional energy consumption and emissions.

[0059] The construction equipment power is the average operating power of all construction equipment during the construction process, which can be obtained through an OBD-II scanner (connected to the vehicle's OBD-II interface and read data).

[0060] The operation time value of the construction equipment is the average operation time value of all the construction equipment during the construction process, which can be obtained through the built-in timer of the construction equipment.

[0061] The construction area value can be obtained through the design documents of the construction project stored in the database.

[0062] The construction compaction efficiency index is the deviation between the compaction times of the roller and the theoretical optimal times, that is, the construction compaction efficiency index = (reference compaction times * reference single compaction time) / (actual compaction times * actual single compaction time), and the reference compaction times and reference single compaction time can be obtained through the construction specifications stored in the database, and the actual compaction times and actual single compaction time can be obtained through the on-site construction records stored in the database.

[0063] The construction combustion efficiency value is the average efficiency of all construction equipment (such as diesel rollers, pavers, etc.) in converting fuel combustion into mechanical energy during the construction process. The efficiency of each construction equipment in converting fuel combustion into mechanical energy can be obtained through the equipment's built-in combustion efficiency monitoring system.

[0064] Specifically, Figure 2 As shown, the specific steps for obtaining the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: obtain the reference service life value of each production equipment of the asphalt pavement to be regenerated, and conduct a comprehensive analysis in combination with the service life value and the number of maintenance times to obtain the production equipment wear index of the asphalt pavement to be regenerated; obtain the reference index of the raw material particle size distribution of the asphalt pavement to be regenerated, and conduct a comprehensive analysis in combination with the production energy consumption value, the total production value, the raw material particle size distribution index, the production energy demand value, and the production equipment wear index to obtain the production energy efficiency index of the asphalt pavement to be regenerated; standardize the production greenhouse gas emission value, the production pollutant gas emission value, and the production mixing time value of the asphalt pavement to be regenerated; and conduct a comprehensive analysis based on the production greenhouse gas emission value, the production pollutant gas emission value, and the production mixing time value of the regenerated asphalt pavement after the standardized treatment to obtain the production emission index of the asphalt pavement to be regenerated; and conduct a comprehensive analysis of the production energy efficiency index, the production emission index, and the regeneration agent addition value of the asphalt pavement to be regenerated to obtain the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

[0065] The reference service life value may be obtained from the equipment specification sheet stored in the database.

[0066] The raw material particle size distribution reference index can be obtained by obtaining several historical raw material particle size distribution indices and performing average processing, and the processing result is the raw material particle size distribution reference index.

[0067] The specific formula for calculating the wear index and production emission index of the production equipment of the reclaimed asphalt pavement is as follows: Among them, SmZ is the wear index of the production equipment of the regenerated asphalt pavement, SnX j is the service life limit of the jth production equipment of the asphalt pavement to be recycled, CkN j is the reference service life of the jth production equipment of the asphalt pavement to be regenerated, ψ1 is the service coefficient stored in the database, WxC j is the maintenance number of the j-th production equipment of the asphalt pavement to be regenerated, ψ2 is the maintenance coefficient stored in the database, ψ1+ψ2=1, SpF is the production emission index of the asphalt pavement to be regenerated, WqT′ is the production greenhouse gas emission value of the regenerated asphalt pavement after standardized processing, ξ1 is the greenhouse coefficient stored in the database, WrQ′ is the production pollutant gas emission value of the regenerated asphalt pavement after standardized processing, ξ2 is the pollution coefficient stored in the database, HsC′ is the production mixing time value of the regenerated asphalt pavement after standardized processing, ξ3 is the mixing coefficient stored in the database, ξ1+ξ2+ξ3=1, j=1, 2, 3, …, j0, j0 is the number of production equipment.

[0068] It should be explained that ψ1 and ψ2 can be obtained through the following steps: read the service life value and maintenance frequency value of each production equipment of the asphalt pavement to be regenerated, perform standardization processing, perform mean processing based on the standardization processing result, and perform sum analysis based on the mean processing result to obtain the wear and tear value, perform proportion analysis on the mean processing result and the wear and tear value, and use the proportion analysis result as the corresponding coefficient.

[0069] ξ1, ξ2, and ξ3 can be obtained through the following steps: read the production greenhouse gas emission values, production pollutant emission values, and production mixing time values ​​of the standardized regenerated asphalt pavement, perform sum analysis to obtain the emission sum value, and perform proportion analysis on the production greenhouse gas emission values, production pollutant emission values, and production mixing time values ​​of the standardized regenerated asphalt pavement with the emission sum value, and use the proportion analysis results as the corresponding coefficients.

[0070] The specific formula for calculating the production energy efficiency index and production energy consumption emission evaluation index of the asphalt pavement to be recycled is as follows: Wherein, NsX is the production energy efficiency index of the asphalt pavement to be regenerated, SnH is the production energy consumption value of the asphalt pavement to be regenerated, ScL is the total production value of the asphalt pavement to be regenerated, SnM is the production energy demand value of the asphalt pavement to be regenerated, LbF is the raw material particle size distribution index of the asphalt pavement to be regenerated, CbF is the raw material particle size distribution reference index of the asphalt pavement to be regenerated, φ1 is the distribution adjustment coefficient stored in the database, SmZ is the production equipment wear index of the asphalt pavement to be regenerated, φ2 is the wear adjustment coefficient stored in the database, ZpN is the production energy consumption emission evaluation index of the asphalt pavement to be regenerated, β1 is the energy efficiency adjustment coefficient stored in the database, ZtL is the regenerant addition amount of the asphalt pavement to be regenerated, β2 is the regenerant adjustment coefficient stored in the database, SpF is the production emission index of the asphalt pavement to be regenerated, β3 is the emission adjustment coefficient stored in the database, δ1 is the energy efficiency coefficient stored in the database, and δ2 is the emission coefficient stored in the database.

[0071] It should be explained that φ1 and φ2 can be obtained through the following steps: Based on historical data, the initial impact weights of the raw material particle size distribution index and the production equipment wear index on the production energy consumption index are determined through statistical regression analysis. Then, based on the sensitivity analysis technology, the value range of the corresponding coefficients under different environmental scenarios is adjusted to ensure the applicability of the formula to a variety of production environments. Subsequently, the model is calibrated through scenario analysis to optimize the rationality and stability of the parameter values.

[0072] β1, β2, and β3 can be obtained through the following steps: obtain historical data, determine the initial impact weights of each variable (such as production energy efficiency index, regeneration agent addition value, production emission index) on the production energy consumption emission evaluation index through statistical regression analysis, and then use the sensitivity analysis method to adjust the value range of the coefficient to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as machine learning algorithm) to ensure that the formula can accurately reflect the evaluation results of production energy consumption emissions, and fine-tune the coefficients based on the characteristics of different regions to ensure that they are suitable for specific ecological environmental assessment needs.

[0073] δ1 and δ2 can be obtained through the following steps: Based on historical data, the initial impact weight of the production energy efficiency index and the production emission index combined on the production energy consumption emission evaluation index is determined through statistical regression analysis, and then the value range of the coefficient is adjusted using the sensitivity analysis method to evaluate the stability and applicability of these parameters to the formula output.

[0074] In this implementation scheme, by incorporating the wear index, emission index and other key factors (such as raw material particle size distribution, regeneration agent addition amount, etc.) of the production equipment into the comprehensive analysis, the energy efficiency and emission of the production process can be quantified more accurately. Specifically, the impact of equipment wear is quantified separately, and the calculation of emissions is standardized to ensure that the evaluation results are not interfered by extreme values ​​or abnormal values, thereby providing more accurate energy consumption and emission data, which in turn helps to evaluate the actual performance of the production process. Secondly, by standardizing, averaging and proportion analysis of key parameters such as production equipment wear, emission index, and raw material particle size distribution, it is ensured that these parameters can adapt to and maintain good comparability under different production environments. In particular, in the adjustment of the wear coefficient and emission coefficient of the production equipment, sensitivity analysis and scenario analysis are used to correct the model parameters, so that they can be flexibly adjusted according to the specific environment, equipment conditions and process changes, thereby improving the applicability and universality of the method. Finally, through the comprehensive analysis of various energy efficiency and emission data, a comprehensive evaluation index of production energy efficiency and emissions can be generated, thereby providing scientific data support for decision makers, thereby improving production efficiency, reducing energy waste and environmental pollution, and thus improving overall production benefits.

[0075] Specifically, the specific steps for obtaining the transport energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: obtain the transmission efficiency of each transport vehicle, and conduct a comprehensive analysis in combination with the transport road slope value of the asphalt pavement to be regenerated to obtain the road energy efficiency correction index of the asphalt pavement to be regenerated; conduct a comprehensive analysis of the transport distance value, transport load value, transport fuel consumption rate value, and road energy efficiency correction index of the asphalt pavement to be regenerated to obtain the transport energy efficiency index of the asphalt pavement to be regenerated; conduct a comprehensive analysis of the transport pollution emission index, transport engine efficiency value, and transport engine load index of the asphalt pavement to be regenerated to obtain the transport emission index of the asphalt pavement to be regenerated; and normalize the transport energy efficiency index, transport emission index, transport climate condition index, and transport driving behavior index of the asphalt pavement to be regenerated; conduct a comprehensive analysis based on the normalized transport energy efficiency index, transport emission index, transport climate condition index, and transport driving behavior index of the asphalt pavement to be regenerated to obtain the transport energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

[0076] Among them, the specific formulas for calculating the road energy efficiency correction index, transportation energy efficiency index, transportation emission index, and transportation energy consumption emission evaluation index of the asphalt pavement to be recycled are as follows: Among them, DnX is the road energy efficiency correction index of the asphalt pavement to be recycled, CdL iis the transmission efficiency of the i-th transport vehicle, PdZ is the transport road slope value of the asphalt pavement to be regenerated, ξ is the road slope adjustment coefficient stored in the database, YsH is the transport energy efficiency index of the asphalt pavement to be regenerated, YsL is the transport distance value of the asphalt pavement to be regenerated, RyH is the transport fuel consumption rate value of the asphalt pavement to be regenerated, ZnH is the transport load value of the asphalt pavement to be regenerated, is the road adjustment coefficient stored in the database, YnX is the transportation emission index of the asphalt pavement to be regenerated, YpF is the transportation pollution emission index of the asphalt pavement to be regenerated, λ1 is the transportation pollution adjustment coefficient stored in the database, YdF is the transportation engine efficiency value of the asphalt pavement to be regenerated, λ2 is the transportation efficiency adjustment coefficient stored in the database, YhF is the transportation engine load index of the asphalt pavement to be regenerated, λ3 is the transportation load adjustment coefficient stored in the database, YsP is the transportation energy consumption emission evaluation index of the asphalt pavement to be regenerated, DnX′ is the transportation energy efficiency index of the asphalt pavement to be regenerated after normalization, YnX′ is the transportation emission index of the asphalt pavement to be regenerated after normalization, is the transport interaction coefficient stored in the database, QhT′ is the normalized transport climate condition index of the asphalt pavement to be regenerated, is the climate adjustment coefficient stored in the database, SxW′ is the normalized transport driving behavior index of the asphalt pavement to be reclaimed, is the driving adjustment coefficient stored in the database, i=1, 2, 3, ..., i0, i0 is the number of transport vehicles.

[0077] It should be explained that ξ can be obtained through the following steps: based on historical data, statistical regression analysis is performed on the slope value of the transport road to quantify the specific impact of the slope value of the transport road on the road energy efficiency correction index, so as to fit the initial weight value, and use the sensitivity analysis method to adjust the value range of the coefficient.

[0078] It can be obtained through the following steps: using historical data, conducting statistical regression analysis on the road energy efficiency correction index, quantifying the specific impact of the road energy efficiency correction index on the transport energy efficiency index, and fitting the initial weight value; secondly, using the sensitivity analysis method, adjusting the value range of the coefficient, observing its impact on the transport energy efficiency evaluation results, ensuring the stability and rationality of the model, and based on regional characteristics and actual conditions, correcting and optimizing the preliminary fitting coefficients, and finally determining the coefficient value applicable to a specific area.

[0079] λ1, λ2, and λ3 can be obtained through the following steps: using historical data, statistical regression analysis is performed on the transport pollution emission index, transport engine efficiency value, and transport engine load index to quantify their specific impact on the transport emission index, thereby fitting the initial weight value. Secondly, the sensitivity analysis method is used to adjust the value range of the coefficient and observe its impact on the transport emission assessment results to ensure the stability and rationality of the model. Based on regional characteristics and actual conditions, the preliminary fitted coefficients are corrected and optimized to finally determine the coefficient value applicable to a specific area.

[0080] It can be obtained through the following steps: using historical data to quantify the specific impact of each variable on the transport energy consumption emission evaluation index, so as to fit the initial weight value; secondly, using the sensitivity analysis method to adjust the value range of the corresponding coefficient, observe its impact on the transport energy consumption emission evaluation results, ensure the stability and rationality of the model, and based on regional characteristics and actual conditions, correct and optimize the preliminary fitting coefficients, and finally determine the coefficient value applicable to the specific area.

[0081] In this implementation plan, by comprehensively considering multiple factors (such as transmission efficiency, road slope, transportation distance, load, fuel consumption, etc.), the energy efficiency level of transportation can be more accurately evaluated, and its emissions can be further analyzed, which will help identify energy efficiency bottlenecks and emission sources in the transportation process, thereby providing more accurate data support for subsequent optimization measures. Through comprehensive analysis of factors such as road energy efficiency correction index, transportation fuel consumption rate, and vehicle load, adjustments and corrections can be made according to different transportation environments. For example, the impact of road slope on transportation energy efficiency may vary depending on regional differences. Through regression analysis and sensitivity analysis of historical data, these systems can be flexibly adjusted. numbers, thereby ensuring the adaptability of the model in different regions and conditions, and thus being able to be widely used in different transportation scenarios with strong flexibility. At the same time, it not only considers the impact of a single factor on transportation energy efficiency, but also further captures the interaction between different factors through interaction coefficients, driving behavior adjustment coefficients, etc., and by optimizing the combination of these factors, it can provide more accurate strategies for energy efficiency optimization and emission control in the transportation process. Finally, by using historical data, regression analysis and sensitivity analysis, it can provide a scientific basis for optimal decision-making in the transportation process, thereby reducing unnecessary energy consumption and emissions, reducing overall transportation costs, and improving the transparency and feasibility of decision-making.

[0082] Specifically, the specific steps for obtaining the construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: obtain the rated power of the construction equipment and the reference time value of the construction equipment operation of the asphalt pavement to be regenerated; and conduct a comprehensive analysis on the construction equipment power, the construction equipment operation time value, the construction area value, the construction compaction efficiency index, the construction energy consumption value, the rated power of the construction equipment and the reference time value of the construction equipment operation of the asphalt pavement to be regenerated to obtain the construction energy efficiency index of the asphalt pavement to be regenerated; standardize the construction emission pollution index, the construction air fluidity value and the construction combustion efficiency value of the asphalt pavement to be regenerated; conduct a comprehensive analysis based on the construction emission pollution index, the construction air fluidity value and the construction combustion efficiency value of the regenerated asphalt pavement after the standardized treatment to obtain the construction emission index of the asphalt pavement to be regenerated; and normalize the construction energy efficiency index and the construction emission index of the asphalt pavement to be regenerated; and conduct a comprehensive analysis on the normalized construction energy efficiency index and the construction emission index of the asphalt pavement to be regenerated to obtain the construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

[0083] The rated power of the construction equipment is the average of the rated power of all the construction equipment during the construction process, and the rated power of each construction equipment can be obtained through the equipment specification sheet stored in the data volume.

[0084] The reference operation time value of the construction equipment is the average of the reference operation time values ​​of all the construction equipment during the construction process, and the reference operation time value of each construction equipment can be obtained through the equipment specification sheet stored in the data volume.

[0085] The specific formulas for calculating the construction energy efficiency index, construction emission index, and construction energy consumption emission evaluation index of the asphalt pavement to be recycled are as follows: Among them, GsN is the construction energy efficiency index of the asphalt pavement to be regenerated, SgH is the construction energy consumption value of the asphalt pavement to be regenerated, MsG is the construction area value of the asphalt pavement to be regenerated, θ1 is the initial energy efficiency adjustment coefficient stored in the database, SbG is the construction equipment power of the asphalt pavement to be regenerated, CbG is the rated power of the construction equipment of the asphalt pavement to be regenerated, θ2 is the power adjustment coefficient stored in the database, GyS is the operation time value of the construction equipment of the asphalt pavement to be regenerated, CyS is the reference operation time value of the construction equipment of the asphalt pavement to be regenerated, θ3 is the operation time adjustment coefficient stored in the database, GhS is the construction compaction efficiency index of the asphalt pavement to be regenerated, θ4 is the compaction adjustment coefficient stored in the database, GpF is the construction emission index of the asphalt pavement to be regenerated, and GwZ′ is the construction emission of the regenerated asphalt pavement after standardized treatment. pollution index, τ1 is the construction emission pollution adjustment coefficient stored in the database, KqL′ is the construction air fluidity value of the regenerated asphalt pavement after standardized treatment, τ2 is the flow adjustment coefficient stored in the database, SrX′ is the construction combustion efficiency value of the regenerated asphalt pavement after standardized treatment, τ3 is the construction combustion efficiency adjustment coefficient stored in the database, τ4 is the construction interaction adjustment coefficient stored in the database, SgP is the construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, GsN′ is the construction energy efficiency index of the asphalt pavement to be regenerated after normalization, σ1 is the construction energy efficiency coefficient stored in the database, GpF′ is the construction emission index of the asphalt pavement to be regenerated after normalization, σ2 is the construction emission coefficient stored in the database, σ1+σ2=1, e is a natural constant, and in this implementation example, the value is 2.71.

[0086] It needs to be explained that the term τ4*GwZ′*KqL′*SrX′ in the formula is used to adjust the construction emission pollution index, construction air fluidity value, and construction combustion efficiency value to avoid the construction emission index being too high or too low.

[0087] θ1, θ2, θ3, and θ4 can be obtained through the following steps: Based on historical data, the initial impact weight of each variable on the construction energy efficiency index is determined through statistical regression analysis. Then, the range of coefficients is adjusted using the sensitivity analysis method to evaluate the stability and applicability of these parameters to the formula output. Next, the weights are further fitted through model optimization (such as machine learning algorithms) to ensure that the formula can accurately reflect the actual construction energy efficiency. The coefficients are fine-tuned based on the characteristics of different regions to ensure that they are suitable for specific ecological and environmental assessment needs.

[0088] τ1, τ2, τ3, and τ4 can be obtained through the following steps: using historical data, evaluating the influence of each variable on the construction emission index through statistical modeling and regression analysis, and fitting the initial weight values, then adjusting the value range of these coefficients based on sensitivity analysis to ensure that the formula has good adaptability to changes in construction emissions under different environmental conditions, and then using scenario simulation technology (such as prediction models for different pollution emission levels) to further optimize the applicability of the coefficients, and reasonably modify the weight coefficients according to the specific regions and pollution source characteristics.

[0089] σ1 and σ2 can be obtained through the following steps: read the normalized construction energy efficiency index and construction emission index of the asphalt pavement to be regenerated, perform sum analysis to obtain the comprehensive construction value, and perform proportion analysis on the normalized construction energy efficiency index and construction emission index of the asphalt pavement to be regenerated and the comprehensive construction value, and use the proportion analysis results as the corresponding coefficients.

[0090] In this implementation plan, by comprehensively analyzing multiple variables such as the power, operating hours, and construction area of ​​construction equipment, the energy efficiency and emission performance during the construction process can be accurately evaluated to ensure that the impact of each factor is fully considered, thereby obtaining a more accurate construction energy efficiency and emission index. Secondly, regression analysis, sensitivity analysis and other techniques are used to adjust and optimize coefficients in combination with regional characteristics to ensure that the construction energy efficiency and emission evaluation method can adapt to different environmental conditions. For example, different construction sites may face different factors such as temperature, humidity, and terrain, which will affect the construction energy efficiency and emissions. By flexibly adjusting the coefficients, the evaluation method can have strong environmental adaptability, thereby being able to be used in different environments. It is effectively applied in construction projects. Then, by standardizing the construction emission pollution index, air mobility, combustion efficiency and other data and further normalizing them, the impact of data of different magnitudes can be eliminated, so that the energy efficiency and emission index can be compared on the same scale, thereby ensuring the accuracy of construction energy efficiency and emission control, and then helping to formulate more scientific and accurate energy-saving and emission reduction measures. Finally, through accurate energy efficiency and emission assessments, the energy use and pollution emissions in the construction process can be promoted in a more sustainable direction. Through monitoring and evaluation, the energy consumption and emissions in the construction can be continuously improved, thus laying the foundation for long-term environmental protection and energy utilization efficiency improvement in the construction process.

[0091] Specifically, the specific steps of identifying abnormal evaluation indexes and taking corresponding optimization measures are as follows: the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated are respectively compared with the preset production energy consumption emission evaluation index threshold, transportation energy consumption emission evaluation index threshold, and construction energy consumption emission evaluation index threshold for judgment and analysis; if the production energy consumption emission evaluation index of the asphalt pavement to be regenerated is lower than the preset production energy consumption emission evaluation index threshold, the production energy consumption emission evaluation index is marked as an abnormal evaluation index, and production optimization measures are taken (i.e., providing optimization equipment to relevant personnel, checking production equipment, etc.). The energy efficiency status of the equipment, whether there are problems such as equipment aging and severe wear, and equipment repair or replacement according to the equipment wear index; improve the energy efficiency of the production process, optimize the production process, and reduce unnecessary energy consumption. For example, optimize the efficiency of heating and mixing; adjust the use of raw materials, check the particle size and ratio of raw materials, optimize the batching process, and reduce energy consumption in production). If the transport energy consumption emission evaluation index of the asphalt pavement to be recycled is lower than the preset transport energy consumption emission evaluation index threshold, the transport energy consumption emission evaluation index will be marked as an abnormal evaluation index, and production optimization measures will be taken (i.e., provide optimized transportation routes to relevant personnel, use GIS to optimize the transportation route, and use GIS to optimize the transportation route). Technology optimizes transportation routes, reduces transportation time and distance, reduces energy consumption during transportation, selects relatively flat and barrier-free roads, and reduces fuel consumption of vehicles during transportation; improves energy efficiency of transportation equipment, uses low-emission and energy-saving transportation vehicles, such as electric or hybrid vehicles, to reduce fuel consumption and pollutant emissions; strengthens driving behavior management, analyzes drivers' driving behavior through data recording and real-time monitoring, and avoids bad behaviors such as sudden acceleration and sudden braking); if the construction energy consumption emission evaluation index of the asphalt pavement to be recycled is lower than the preset construction energy consumption emission evaluation index threshold, the production energy consumption emission evaluation index will be marked as Abnormal evaluation index, and take production optimization measures (i.e. provide optimized construction equipment and technology to relevant personnel, check the energy efficiency and emissions of construction equipment, and maintain, repair or replace the equipment in a timely manner; improve construction efficiency, optimize construction plans, and reduce energy consumption in construction, for example, improve construction compaction efficiency and reduce construction time through more efficient compaction equipment; optimize fuel use and emission control, check the types of fuel used in the construction process, and gradually transition to low-pollution, low-energy consumption environmentally friendly fuels; improve air flow during construction, optimize ventilation conditions on the construction site, improve air flow, and reduce suggestions on harmful gas concentrations).

[0092] In this implementation plan, by comparing and analyzing the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be recycled with the corresponding preset thresholds, it is possible to accurately identify whether there is low energy efficiency, excessive emissions or other abnormal conditions in each link, which is helpful to discover potential problems and avoid long-term resource waste and environmental impact caused by untimely adjustments. Secondly, this step clearly stipulates specific optimization measures to solve problems in specific links in a targeted manner, thereby improving the overall production, transportation and construction efficiency. At the same time, by optimizing the energy efficiency and emissions in the three aspects of production, transportation and construction, it can greatly reduce energy consumption and pollutant emissions, thereby improving the impact of the overall construction process on the environment, thereby ensuring compliance with environmental protection requirements, thereby improving the energy saving level of each link, reducing energy waste, and promoting the development of green construction. Finally, energy efficiency improvement and emission reduction are not only beneficial to the environment, but also can effectively reduce the operating cost of the project. The optimized production and construction process will reduce the consumption of resources such as energy and fuel, thereby reducing the cost of the overall project, especially in the transportation link. By optimizing the route and improving the energy efficiency of transportation vehicles, a large amount of fuel costs can be saved, thereby improving the overall economic benefits.

[0093] See also Figure 3 The embodiment of the present invention provides a technical solution: a quantitative analysis and evaluation system for energy conservation and emission reduction of regenerated asphalt pavement, comprising: a data acquisition module, a data analysis module, a comprehensive analysis module, a comparison analysis module, a first optimization module, and a second optimization module; the data acquisition module is used to obtain the energy consumption and emission data of the regeneration period of the asphalt pavement to be regenerated when the asphalt pavement to be regenerated is repaired by a thermal regeneration process, and the energy consumption and emission data of the regeneration period include production energy consumption emission data, transportation energy consumption emission data, and construction energy consumption emission data; the data analysis module is used to perform data analysis on the energy consumption and emission data of the regeneration period of the asphalt pavement to be regenerated, and obtain the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated. The comprehensive analysis module is used to comprehensively analyze the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, so as to obtain the comprehensive energy consumption emission evaluation index of the asphalt pavement to be regenerated; the comparison analysis module is used to compare and analyze the comprehensive evaluation index of the asphalt pavement to be regenerated with the preset comprehensive evaluation index threshold; the first optimization module is used to identify abnormal evaluation index and take corresponding optimization measures if the comprehensive evaluation index of the asphalt pavement to be regenerated is lower than the preset comprehensive evaluation index threshold; the second optimization module is used to not take optimization measures if the comprehensive evaluation index of the asphalt pavement to be regenerated is not lower than the preset comprehensive evaluation index threshold.

[0094] In summary, this application has at least the following effects:

[0095] By conducting a detailed quantitative analysis of the energy consumption and emission data of each link in the recycled asphalt pavement, the energy efficiency status and emission level of each link can be accurately quantified. Through comprehensive analysis and comparison with preset thresholds, abnormal evaluation indexes can be accurately discovered, so that targeted optimization can be carried out on the links with problems, thereby reducing energy consumption and greenhouse gas emissions, and reducing the environmental burden during the construction process. For example, in the analysis of the amount of regeneration agent added and the wear index of production equipment, it can provide a specific basis for improving the energy efficiency of the production link and avoid excessive consumption and emissions.

[0096] By tracking and comparing energy consumption and emissions at each stage of the life cycle in detail, we can accurately identify energy efficiency issues that exceed preset thresholds, thereby preventing waste of resources due to unreasonable operations. Through precise energy conservation and emission reduction quantification and optimization adjustments, we can effectively avoid high-energy consumption and high-emission operations that do not meet environmental protection requirements, thereby ensuring that each stage operates within a reasonable energy efficiency range, thereby effectively reducing environmental pollution.

[0097] During the implementation process, the comprehensive energy consumption and emission evaluation index is compared with the preset threshold to identify abnormal links and proactively initiate optimization measures, so that fine-tuned adjustments can be made to specific problems, thereby improving the immediate response capability of energy conservation and emission reduction, and enabling the optimization measures to be accurately and efficiently implemented, thereby improving the energy-saving effect of the overall project.

[0098] Through precise data analysis and optimization measures, we can significantly improve resource utilization efficiency and reduce the overall cost of the project. Based on various modules, we can comprehensively collect and analyze energy consumption and emission data in each link, identify specific energy-saving potential, and reduce operating costs, thereby improving economic benefits, and effectively reducing greenhouse gas and pollution emissions. Without sacrificing project quality, we can reduce excessive use of resources and promote sustainable development.

[0099] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0100] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A quantitative analysis and evaluation method for energy conservation and emission reduction of recycled asphalt pavement, characterized in that: The following steps are involved: When the asphalt pavement to be regenerated is repaired by a thermal regeneration process, the energy consumption and emission data of the regeneration cycle of the asphalt pavement to be regenerated are obtained, and the energy consumption and emission data of the regeneration cycle include production energy consumption and emission data, transportation energy consumption and emission data, and construction energy consumption and emission data; The energy consumption and emission data of the regeneration period of the regenerated asphalt pavement are analyzed separately to obtain the production energy consumption and emission evaluation index, transportation energy consumption and emission evaluation index, and construction energy consumption and emission evaluation index of the regenerated asphalt pavement, and a comprehensive analysis is performed to obtain the comprehensive energy consumption and emission evaluation index of the regenerated asphalt pavement; Compare and analyze the comprehensive evaluation index of the asphalt pavement to be regenerated with the preset comprehensive evaluation index threshold; If the comprehensive evaluation index of the asphalt pavement to be regenerated is lower than the preset comprehensive evaluation index threshold, the abnormal evaluation index is identified and corresponding optimization measures are taken; If the comprehensive evaluation index of the asphalt pavement to be regenerated is not lower than the preset comprehensive evaluation index threshold, no optimization measures will be taken.

2. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 1 is characterized in that: The production energy consumption and emission data include production energy consumption value, total production value, raw material particle size distribution index, production energy demand value, production greenhouse gas emission value, production pollutant emission value, production mixing time value, regeneration agent addition value, and the service life and maintenance times of each production equipment. The transportation energy consumption and emission data include transportation distance value, transportation load value, transportation fuel consumption rate value, transportation road slope value, transportation emission pollution index, transportation engine efficiency value, transportation engine load index, transportation climate condition index, and transportation driving behavior index. The construction energy consumption and emission data include construction equipment power, construction equipment operating time value, construction area value, construction compaction efficiency index, construction energy consumption value, construction emission pollution index, construction air fluidity value, and construction combustion efficiency value.

3. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 1 is characterized in that: The specific formula for calculating the comprehensive energy consumption and emission evaluation index of the asphalt pavement to be recycled is as follows: Among them, ZhP is the comprehensive energy consumption emission evaluation index of the asphalt pavement to be regenerated, ZpN, YsP, and SgP are the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, respectively, α1, α2, α3, and η are the production coefficient, transportation coefficient, construction coefficient, and interaction coefficient stored in the database, respectively, and α1+α2+α3=1.

4. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 2 is characterized in that: The specific steps for obtaining the production energy consumption emission evaluation index of the asphalt pavement to be recycled are as follows: Obtain the reference service life value of each production equipment of the asphalt pavement to be regenerated, and conduct a comprehensive analysis based on the service life value and the number of maintenance times to obtain the wear index of the production equipment of the asphalt pavement to be regenerated; And obtain the raw material particle size distribution reference index of the asphalt pavement to be regenerated, and conduct a comprehensive analysis based on the production energy consumption value, total production value, raw material particle size distribution index, production energy demand value, and production equipment wear index to obtain the production energy efficiency index of the asphalt pavement to be regenerated; Standardize the production greenhouse gas emissions, production pollutant gas emissions, and production mixing time of recycled asphalt pavement; A comprehensive analysis is conducted based on the production greenhouse gas emission values, production pollutant gas emission values, and production mixing time values ​​of the regenerated asphalt pavement after standardized treatment to obtain the production emission index of the asphalt pavement to be regenerated; The production energy efficiency index, production emission index and regeneration agent addition value of the asphalt pavement to be regenerated are comprehensively analyzed to obtain the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated.

5. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 4 is characterized in that: The specific formula for calculating the production energy efficiency index and production energy consumption emission evaluation index of the asphalt pavement to be recycled is as follows: Among them, NsX is the production energy efficiency index of the asphalt pavement to be regenerated, SnH, ScL, SnM, LbF, CbF, and SmZ are the production energy consumption value, total production value, production energy demand value, raw material particle size distribution index, raw material particle size distribution reference index, and production equipment wear index of the asphalt pavement to be regenerated, respectively; φ1 and φ2 are the distribution adjustment coefficient and wear adjustment coefficient stored in the database, respectively; ZpN is the production energy consumption and emission evaluation index of the asphalt pavement to be regenerated; ZtL and SpF are the regeneration agent addition amount and production emission index of the asphalt pavement to be regenerated, respectively; β1, β2, and β3 are the energy efficiency adjustment coefficient, regeneration agent adjustment coefficient, and emission adjustment coefficient stored in the database, respectively; δ1 and δ2 are the energy efficiency coefficient and emission coefficient stored in the database, respectively.

6. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 2 is characterized in that: The specific steps for obtaining the transport energy consumption emission evaluation index of the asphalt pavement to be regenerated are as follows: The transmission efficiency of each transport vehicle is obtained, and combined with the slope value of the transport road of the asphalt pavement to be regenerated, a comprehensive analysis is performed to obtain the road energy efficiency correction index of the asphalt pavement to be regenerated; Comprehensively analyze the transport distance value, transport load value, transport fuel consumption rate value, and road energy efficiency correction index of the asphalt pavement to be regenerated to obtain the transport energy efficiency index of the asphalt pavement to be regenerated; Comprehensively analyze the transport pollution emission index, transport engine efficiency value, and transport engine load index of the asphalt pavement to be regenerated to obtain the transport emission index of the asphalt pavement to be regenerated; The transport energy efficiency index, transport emission index, transport climate condition index and transport driving behavior index of the asphalt pavement to be reclaimed are normalized; Based on the normalized transport energy efficiency index, transport emission index, transport climate condition index and transport driving behavior index of the asphalt pavement to be reclaimed, a comprehensive analysis is conducted to obtain the transport energy consumption and emission evaluation index of the asphalt pavement to be reclaimed.

7. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 2 is characterized in that: The specific steps for obtaining the construction energy consumption and emission evaluation index of the asphalt pavement to be regenerated are as follows: Obtain the rated power of the construction equipment for the asphalt pavement to be regenerated and the reference operation time of the construction equipment; A comprehensive analysis is also conducted on the power of construction equipment, operation time of construction equipment, construction area, construction compaction efficiency index, construction energy consumption, rated power of construction equipment, and reference operation time of construction equipment of the asphalt pavement to be regenerated, to obtain the construction energy efficiency index of the asphalt pavement to be regenerated; Standardize the construction emission pollution index, construction air mobility value, and construction combustion efficiency value of recycled asphalt pavement; A comprehensive analysis is conducted based on the construction emission pollution index, construction air mobility value, and construction combustion efficiency value of the regenerated asphalt pavement after standardized treatment to obtain the construction emission index of the asphalt pavement to be regenerated; The construction energy efficiency index and construction emission index of the recycled asphalt pavement are normalized; The normalized construction energy efficiency index and construction emission index of the asphalt pavement to be recycled are comprehensively analyzed to obtain the construction energy consumption and emission evaluation index of the asphalt pavement to be recycled.

8. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 7 is characterized in that: The specific formulas for calculating the construction energy efficiency index, construction emission index, and construction energy consumption emission evaluation index of the asphalt pavement to be recycled are as follows: Among them, GsN is the construction energy efficiency index of the asphalt pavement to be regenerated, SgH, MsG, SbG, CbG, GyS, CyS, and GhS are the construction energy consumption value, construction area value, construction equipment power, construction equipment rated power, construction equipment operation time value, construction equipment operation reference time value, and construction compaction efficiency index of the asphalt pavement to be regenerated, respectively; θ1, θ2, θ3, and θ4 are the initial energy efficiency adjustment coefficient, power adjustment coefficient, operation time adjustment coefficient, and compaction adjustment coefficient stored in the database, respectively; GpF is the construction emission index of the asphalt pavement to be regenerated, and GwZ′, KqL′, and SrX′ are respectively are the construction emission pollution index, construction air fluidity value, and construction combustion efficiency value of the regenerated asphalt pavement after normalization. τ1, τ2, τ3, and τ4 are the construction emission pollution adjustment coefficient, fluidity adjustment coefficient, construction combustion efficiency adjustment coefficient, and construction interaction adjustment coefficient stored in the database, respectively. SgP is the construction energy consumption emission evaluation index of the asphalt pavement to be regenerated. GsN′ and GpF′ are the construction energy efficiency index and construction emission index of the asphalt pavement to be regenerated after normalization, respectively. σ1 and σ2 are the construction energy efficiency coefficient and construction emission coefficient stored in the database, respectively. σ1+σ2=1, and e is a natural constant.

9. The method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to claim 1 is characterized in that: The specific steps to identify abnormal evaluation indexes and take corresponding optimization measures are as follows: The production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated are respectively compared with the preset production energy consumption emission evaluation index threshold, transportation energy consumption emission evaluation index threshold, and construction energy consumption emission evaluation index threshold; If the production energy consumption emission evaluation index of the asphalt pavement to be recycled is lower than the preset production energy consumption emission evaluation index threshold, the production energy consumption emission evaluation index is marked as an abnormal evaluation index, and production optimization measures are taken; If the transport energy consumption emission evaluation index of the asphalt pavement to be regenerated is lower than the preset transport energy consumption emission evaluation index threshold, the transport energy consumption emission evaluation index is marked as an abnormal evaluation index, and production optimization measures are taken; If the construction energy consumption emission evaluation index of the asphalt pavement to be regenerated is lower than the preset construction energy consumption emission evaluation index threshold, the production energy consumption emission evaluation index will be marked as an abnormal evaluation index, and production optimization measures will be taken.

10. A system for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement, using the method for quantitative analysis and evaluation of energy conservation and emission reduction of regenerated asphalt pavement according to any one of claims 1 to 9, characterized in that: include: Data acquisition module, data analysis module, comprehensive analysis module, comparison analysis module, first optimization module, second optimization module; The data acquisition module is used to obtain the energy consumption and emission data of the regeneration cycle of the asphalt pavement to be regenerated when the asphalt pavement to be regenerated is repaired by the thermal regeneration process, and the energy consumption and emission data of the regeneration cycle include production energy consumption and emission data, transportation energy consumption and emission data, and construction energy consumption and emission data; The data analysis module is used to analyze the energy consumption and emission data of the regeneration period of the regenerated asphalt pavement to be regenerated, and obtain the production energy consumption and emission evaluation index, transportation energy consumption and emission evaluation index, and construction energy consumption and emission evaluation index of the regenerated asphalt pavement to be regenerated; The comprehensive analysis module is used to comprehensively analyze the production energy consumption emission evaluation index, transportation energy consumption emission evaluation index, and construction energy consumption emission evaluation index of the asphalt pavement to be regenerated, and obtain the comprehensive energy consumption emission evaluation index of the asphalt pavement to be regenerated; The comparison and analysis module is used to compare and analyze the comprehensive evaluation index of the asphalt pavement to be regenerated with a preset comprehensive evaluation index threshold; The first optimization module is used to identify abnormal evaluation indexes and take corresponding optimization measures if the comprehensive evaluation index of the asphalt pavement to be regenerated is lower than a preset comprehensive evaluation index threshold; The second optimization module is used for not taking optimization measures if the comprehensive evaluation index of the asphalt pavement to be regenerated is not lower than a preset comprehensive evaluation index threshold.

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