Carbon emission calculation method for on-demand lighting technology of expressway tunnel

Abstract

The invention relates to a carbon emission calculation method of a highway tunnel on-demand lighting technology, and belongs to the field of tunnel lighting. The method comprises the following steps: defining a carbon emission calculation boundary, including a tunnel lighting construction stage and an operation maintenance stage; calculating the carbon emission of the construction stage and the operation maintenance stage, and adding the carbon emission of each stage to obtain the total carbon emission of the tunnel as required illumination; the carbon emission in the construction stage comprises the carbon emission generated in the processes of factory production, transportation, field installation and the like of equipment or materials such as lighting lamps, dimming control lines, radars, luminance meters and the like; the carbon emission in the operation and maintenance stage comprises the carbon emission generated by carbon emission activities such as operation power consumption of tunnel lighting lamps, equipment damage and replacement, daily cleaning and maintenance and the like. According to the invention, standardized and quantitative evaluation of the carbon benefit of the on-demand lighting technology is realized, and powerful data support and decision basis are provided for green and low-carbon transformation of the highway industry.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of tunnel lighting and relates to a carbon emission calculation method for on-demand lighting technology of a highway tunnel. BACKGROUND

[0002] Under the macro background of global response to climate change, as one of the important fields of energy consumption and carbon emission, the green transformation and sustainable development of the transportation industry have become a key issue of the times. As a transportation artery, the energy consumption and carbon emission control in the operation process of the highway has a crucial significance for achieving the overall emission reduction target of the transportation industry.

[0003] Among the many operation links of the highway, the energy consumption problem of the highway tunnel is particularly prominent. As a key node in the highway network, the particularity of the internal environment of the tunnel determines that artificial lighting must be used to ensure driving safety. The traditional highway tunnel lighting system usually adopts 24-hour constant lighting design to meet the all-weather uninterrupted traffic demand. Although this "one-size-fits-all" lighting method ensures basic traffic safety, it also causes huge energy waste. This high energy consumption not only brings heavy operating cost pressure, but more importantly, it corresponds to a large amount of power consumption, thereby indirectly generating huge carbon emissions.

[0004] Traditional tunnel lighting mainly uses high-pressure sodium lamps, fluorescent lamps and other light sources. Such lamps generally have the defects of low light efficiency, short service life and difficulty in regulation. Especially at night or during periods of sparse traffic, there are no vehicles in the tunnel, but the lighting system is still running at full power or close to full power, forming a large amount of "inefficient lighting". This inefficient lighting is the core reason for the high energy consumption of the tunnel and is also a pain point that needs to be solved in the industry's technical upgrading. Therefore, how to maximize the reduction of energy consumption of tunnel lighting under the premise of ensuring absolute driving safety and reducing unnecessary carbon emissions has become a major challenge facing the sustainable development of the highway industry.

[0005] To address the above challenges, in recent years, with the rapid development of semiconductor lighting technology (LED), Internet of Things, sensor technology and intelligent control algorithms, the highway industry has made a series of breakthroughs in the field of tunnel lighting. Among them, the "on-demand lighting" technology (also known as "car light, car light dark" intelligent lighting) that integrates energy saving, intelligence and high efficiency has emerged and gradually become the mainstream direction of tunnel lighting energy saving reform.

[0006] The core idea of the on-demand lighting technology is to accurately match the supply of lighting with the actual traffic demand. Its technical foundation mainly relies on the following aspects:

[0007] 1) High-efficiency and energy-saving LED light source: LED (Light Emitting Diode) lamps have significant advantages such as high luminous efficiency, long lifespan, fast response speed, easy dimming, and environmental friendliness, which lay a solid foundation for the realization of on-demand lighting. Compared with traditional lamps, the energy-saving efficiency of LED can reach more than 50%, and its fast switching and deep dimming characteristics perfectly meet the dynamic control needs of on-demand lighting.

[0008] 2) Precise vehicle recognition technology: By deploying radar, microwave, infrared, or video vehicle detectors at the entrance, exit, and inside the tunnel, the system can accurately perceive whether there are vehicles in the tunnel, the position, speed, and direction of the vehicles, and other information in real time. High-precision vehicle recognition is the prerequisite for realizing "on-demand" dimming, ensuring that the lighting system can respond to traffic flow in a timely manner.

[0009] 3) Advanced intelligent dimming control system: Based on the collected vehicle data, the intelligent control system uses pre-set algorithms to perform fine control of the LED lamps in the tunnel by zone and segment. When a vehicle enters the tunnel, the system will light up the lamps in front of the vehicle at a certain distance, forming a moving "light circle", and always maintaining the brightness and uniformity within the driver's field of view to meet safety standards. When the vehicle leaves, the lamps in that area automatically dim to a lower background illumination, or even completely turn off under the premise of ensuring safety, thereby eliminating ineffective lighting and achieving maximum energy saving.

[0010] Currently, research and practice in the industry are mostly focused on the specific implementation methods of on-demand lighting technology, such as optimizing the accuracy of vehicle detection algorithms, improving the smoothness of dimming control to avoid visual discomfort for drivers, and exploring optimal dimming strategies under different weather and time periods. These studies have greatly promoted the maturity and application of on-demand lighting technology and have achieved significant energy-saving benefits in numerous highway tunnel energy-saving renovation projects.

[0011] Although on-demand lighting technology has achieved recognized achievements in energy saving, existing research and industry focus have obvious limitations. Specifically, current research results and technical solutions generally focus on the implementation path of the technology and the calculation of energy-saving rate, i.e., more from the perspective of "power saving" in terms of economic or direct energy benefits. However, the core contribution of this technology, i.e., the reduction of carbon emissions and the resulting environmental benefits, lacks systematic and standardized analysis and quantitative evaluation.

[0012] This limitation is reflected in the following aspects:

[0013] 1) Lack of in-depth analysis of the impact of carbon emissions: In current research reports and project evaluations, the effectiveness of technology is usually demonstrated in terms of energy-saving degrees or energy-saving rates, without further explicit and scientific correlation between saved electricity and carbon emission reduction. This makes it difficult for decision-makers and industry personnel to intuitively and comprehensively understand the environmental value of on-demand lighting technology from the perspective of carbon emissions.

[0014] 2) Lack of standardized carbon emission accounting method: In the carbon emission accounting system, there is no accounting method for the carbon emission reduction of transportation infrastructure operation, especially for dynamic and fine energy-saving technologies such as on-demand lighting in tunnels. How to define the accounting boundary, determine the baseline (i.e. carbon emissions of traditional lighting), how to count the actual carbon emissions after the application of the technology, and how to evaluate the carbon footprint of the whole life cycle, these key issues have no unified and recognized solution paradigm.

[0015] This research and methodological gap, to some extent, limits the comprehensive understanding and promotion of on-demand lighting technology value. Therefore, in order to more deeply reveal the environmental value of on-demand lighting technology in highway tunnels, promote its widespread application in the industry, and enrich the carbon emission accounting method system in the field of transportation infrastructure, it is urgent to carry out targeted research. SUMMARY

[0016] Therefore, the purpose of the present application is to provide a scientific and standardized carbon emission calculation method for on-demand lighting technology in highway tunnels, to realize the standardized and quantitative evaluation of the carbon benefits of on-demand lighting technology, and to provide strong data support and decision-making basis for the green and low-carbon transformation of the highway industry.

[0017] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0018] A carbon emission calculation method for on-demand lighting technology in highway tunnels, comprising: defining the carbon emission calculation boundary, including the construction and operation and maintenance stages of tunnel lighting; calculating the carbon emissions of the construction and operation and maintenance stages, and adding the carbon emissions of each stage to obtain the total carbon emissions of the on-demand lighting in the tunnel;

[0019] The carbon emissions of the construction stage include the carbon emissions generated in the processes of factory production, transportation and on-site installation of lighting fixtures, light control lines, radars, luminance meters and other equipment or materials;

[0020] The carbon emissions of the operation and maintenance stage include the carbon emissions generated by the carbon emission activities of tunnel lighting fixture operation power consumption, equipment damage replacement, daily cleaning and maintenance, etc.

[0021] Further, in the construction stage, the carbon emissions generated in the process of factory production of equipment or materials C c1The calculation formula of C is:

[0022]

[0023] Wherein, n is the number of types of equipment or materials; f t is the energy consumption required in the production process of the tth equipment or material; is the carbon emission factor corresponding to the energy required by the tth equipment or material.

[0024] Further, in the construction stage, the carbon emissions C c2 The calculation formula of C is:

[0025]

[0026] Wherein, J is the fuel carbon emission factor; n is the number of types of equipment or materials; is the fuel consumption of the tth equipment or material required for transportation vehicles or construction tools; d t is the corresponding transportation distance of the tth equipment or material.

[0027] Further, in the construction stage, the carbon emissions C c3 The calculation formula of C is:

[0028]

[0029] Wherein, J is the fuel carbon emission factor, and K is the power carbon emission factor; is the fuel consumption of the t1th equipment or material required for installation, is the operating power of the t2th equipment or material required for installation; is the driving distance of the t1th equipment or material required for installation, is the operating time of the t2th equipment or material required for installation.

[0030] Further, in the operation and maintenance stage, the carbon emissions C o1 The calculation formula of C is:

[0031]

[0032] Wherein, m is the number of tunnel lighting fixtures; is the operating power of the ith tunnel lighting fixture without vehicle passing; is the operating power of the ith tunnel lighting fixture with vehicle passing; is the operating time of the ith tunnel lighting fixture without vehicle passing; and K is the power carbon emission factor.

[0033] The tunnel lighting lamp without vehicle passing operation duration The Poisson distribution model can be used to obtain the calculation model as follows:

[0034]

[0035] Wherein, λ is the average occurrence rate of random events in unit time; T is a given time period; l is the length of the lighting section where the tunnel lighting lamp is located; v is the vehicle driving speed in the tunnel; and N is the daily average traffic volume of the tunnel.

[0036] Further, in the operation and maintenance stage, the carbon emissions generated by equipment damage replacement and consumption are summarized and calculated according to the carbon emission calculation method in the construction stage to obtain the carbon emissions generated by equipment factory production, transportation and on-site installation.

[0037] Further, in the operation and maintenance stage, the carbon emissions C o3 generated by daily cleaning and maintenance are calculated according to the following formula:

[0038]

[0039] Wherein, J is the fuel carbon emission factor, and L is the water carbon emission factor; is the fuel consumed by the k1th equipment in daily cleaning with oil tools, is the running distance of the k1th equipment in daily cleaning with oil tools, and m1 is the number of equipment that needs to consume oil tools in daily cleaning; is the water consumption of the k2th equipment in daily cleaning, and m2 is the number of equipment that needs to be cleaned with water in daily cleaning; is the running power of the k3th equipment in daily cleaning with electric tools, is the running time of the k3th equipment in daily cleaning with electric tools, and m3 is the number of equipment that needs to use electric tools in daily cleaning.

[0040] The beneficial effects of the present application are:

[0041] 1) Filling the technical blank in the industry, realizing the standardized and quantitative evaluation of the carbon benefits of the on-demand lighting technology.

[0042] The current industry evaluation of the on-demand lighting technology mainly focuses on the economic indicators such as power saving rate, and lacks a set of systematic and scientific carbon emission reduction benefit evaluation standard. The present application first proposes a complete carbon emission accounting framework including the construction and operation and maintenance stages, and gives the specific calculation model of each link. This makes the environmental benefits of the on-demand lighting technology change from a vague qualitative concept to quantifiable, comparable and verifiable accurate data, filling the blank in the field of carbon emission accounting method.

[0043] 2) The accounting methods are scientific and rigorous, which improves the accuracy and credibility of the evaluation results.

[0044] This invention provides a comprehensive and detailed identification of carbon emission sources, covering not only implicit carbon emissions during the construction phases such as equipment manufacturing, transportation, and installation, but also accurately calculating direct carbon emissions during the operation phase. Particularly noteworthy is the innovative introduction of a Poisson distribution model to predict car-free travel time when calculating the core energy consumption and carbon emissions of lighting fixtures. This mathematical modeling of random traffic flow characteristics enables more accurate calculations of energy consumption and carbon emissions under different operating conditions, significantly improving the scientific rigor and accuracy of the results.

[0045] 3) It provides key data support for project decision-making and environmental benefit assessment.

[0046] This method allows owners, design firms, and management departments to predict and compare the carbon emission levels of different on-demand lighting solutions during the early stages of project decision-making, thereby selecting the optimal green and low-carbon technology solution. After project completion, this method can be used to conduct post-evaluation of the project's actual carbon reduction effect, providing strong data support for promoting the project's environmental benefits, obtaining green certification, and inclusion in the carbon trading market, thus facilitating the practical application of the technology.

[0047] 4) Promote technological progress in the industry.

[0048] This invention uses "carbon emissions" as one of the core indicators for evaluating the advancement of tunnel lighting technology, which helps guide the industry's R&D direction. This means that while pursuing energy conservation, greater emphasis should be placed on low-carbon development throughout the entire lifecycle, such as selecting more environmentally friendly materials, optimizing construction processes, and improving system operating efficiency. By providing standardized carbon accounting tools, this invention enriches the carbon emission accounting methodology library in my country's transportation infrastructure sector, effectively supporting carbon emission management and accounting in the highway industry, and contributing specific technical paths and methodological support to the transportation sector and even the nation.

[0049] In summary, this invention is not only a technical calculation method, but also an evaluation tool with significant practical and strategic value. Its widespread application will greatly enhance the greening and low-carbonization of highway tunnel lighting.

[0050] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0051] In order to make the objects, technical solutions and advantages of the present application clearer, the preferred embodiments of the present application will be described in detail below with reference to the drawings, in which:

[0052] Figure 1 The flow chart of the carbon emission calculation method of the expressway tunnel on-demand lighting technology provided by the present application. DETAILED DESCRIPTION

[0053] The embodiments of the present application are described below through specific examples. Those skilled in the art can easily understand other advantages and effects of the present application from the disclosure. The present application can also be implemented or applied through other different embodiments, and various modifications or changes can be made to the details in the specification based on different views and applications without departing from the spirit of the present application. It should be noted that the diagrams provided in the following examples only illustrate the basic concept of the present application in a schematic manner, and the following examples and features in the examples can be combined with each other without conflict.

[0054] The drawings are only used for illustrative description, and the representation is only a schematic diagram, not a physical diagram, and should not be understood as a limitation of the present application. In order to better illustrate the embodiments of the present application, some components in the drawings may be omitted, enlarged or reduced, and do not represent the actual size of the product. It is understandable for those skilled in the art that some well-known structures and their descriptions in the drawings may be omitted.

[0055] The same or similar reference numerals in the drawings of the embodiments of the present application correspond to the same or similar components; in the description of the present application, it should be understood that the orientations or positional relationships indicated by terms such as "upper", "lower", "left", "right", "front", "back" and the like are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, therefore the terms describing the positional relationship in the drawings are only used for illustrative description, and should not be understood as a limitation of the present application. For those skilled in the art, the specific meanings of the above terms can be understood according to the specific circumstances.

[0056] Please refer to Figure 1 The embodiments of the present application provide a carbon emission calculation method of expressway tunnel on-demand lighting technology, which specifically includes the following steps:

[0057] Step 1: Define the carbon emission calculation boundary of the expressway tunnel on-demand lighting technology, including the tunnel lighting construction and operation and maintenance stage, and the carbon emission calculation formula is as follows:

[0058] C=C c +C o (1)

[0059] Wherein, C is the total carbon emission of the calculation object; C c is the carbon emission of the construction phase; C o is the carbon emission of the operation and maintenance phase.

[0060] Step 2: Calculate the carbon emission of the on-demand lighting technology in the construction phase;

[0061] The construction phase includes: carbon emission activities such as factory production of lighting lamps, dimming control lines, radars, luminance meters, and other equipment or materials; transportation of equipment or materials; on-site installation of equipment or materials, etc.

[0062] The carbon emission in the factory production process of lighting lamps, dimming control lines, radars, luminance meters, and other equipment or materials can be calculated by calculating the energy consumption such as electricity and fuel required in each decomposition production process, and finally summarizing the carbon emission of each energy based on the carbon emission factor of each energy to obtain the carbon emission in the factory production process of lighting lamps, dimming control lines, radars, luminance meters, and other equipment or materials. The calculation model is as follows:

[0063]

[0064] Wherein, C c1 is the carbon emission in the factory production process of lighting lamps, dimming control lines, radars, luminance meters, and other equipment or materials; n is the type or quantity of lighting lamps, cables, and other auxiliary materials; f t is the energy consumption required for the production, transportation, installation, etc. of the tth equipment or material; is the carbon emission factor corresponding to the energy required by the tth equipment or material.

[0065] The transportation of equipment or materials, i.e. the transportation from the factory to the installation point after production, the carbon emission activities in this process are mainly carbon dioxide produced by fuel combustion of transportation or construction tools. The total amount of fuel required in the activity process can be obtained by using the easily accessible vehicle fuel consumption data and transportation distance, and then adding the carbon emission factor of the corresponding fuel type to calculate the carbon emission in the transportation process of equipment or materials. The calculation model is as follows:

[0066]

[0067] Wherein, C c2 is the carbon emission generated in the transportation process of equipment or materials; J is the fuel carbon emission factor; is the fuel consumption of the transportation vehicle or construction tool required by the tth equipment or material; d t is the corresponding transportation distance of the tth equipment or material.

[0068] The carbon emission of the installation process of the device or material is mainly the carbon dioxide generated by the fuel or power consumption of the construction machine (such as a climbing vehicle) used in the installation process of the material, and the carbon emission C c3 The calculation formula is as follows:

[0069]

[0070] Wherein, J is the fuel carbon emission factor, and K is the power carbon emission factor; is the fuel consumption of the oil construction machine required for the installation of the t1th device or material, is the running power of the electric construction machine required for the installation of the t2th device or material; is the driving distance of the oil construction machine required for the installation of the t1th device or material, is the running time of the electric construction machine required for the installation of the t2th device or material.

[0071] The calculation formula of the carbon emission in the construction stage is as follows:

[0072] C c = C c1 + C c2 + C c3 (5)

[0073] Step 3: Calculate the carbon emission of the on-demand lighting technology in the operation and maintenance stage;

[0074] The operation and maintenance stage includes carbon emission activities such as tunnel lighting lamp operation power consumption, equipment damage replacement, daily cleaning and maintenance, etc.

[0075] The calculation model of the carbon emission generated by the tunnel lighting lamp operation power consumption is as follows:

[0076]

[0077] Wherein, C o1 is the carbon emission generated by the tunnel lighting lamp operation power consumption; m is the number of tunnel lighting lamps; is the running power of the i th tunnel lighting lamp without vehicle passing; is the running power of the i th tunnel lighting lamp with vehicle passing; is the running time of the i th tunnel lighting lamp without vehicle passing; and K is the power carbon emission factor.

[0078] Preferably, the running time of the i th tunnel lighting lamp without vehicle passing can be obtained by using the Poisson distribution model, and the calculation model is as follows:

[0079]

[0080] Wherein, λ is the average occurrence rate of random events per unit time; T is a given period of time; L is the length of the lighting section where the tunnel lighting fixture is located; v is the driving speed of vehicles in the tunnel; N is the daily average traffic volume of the tunnel.

[0081] The carbon emissions generated by the replacement of damaged equipment are calculated by the aforementioned construction and construction phase carbon emission calculation method to obtain the carbon emissions C generated by the production, transportation and on-site installation of equipment factories. o2 .

[0082] The carbon emissions generated by routine cleaning and maintenance can be obtained by calculating the carbon emissions corresponding to the fuel and water consumed during the activity, and the calculation formula is as follows:

[0083]

[0084] Wherein, j is the fuel carbon emission factor, and L is the water carbon emission factor; is the fuel consumed by the oil tool used in the routine cleaning of the k1th equipment, is the running distance of the oil tool used in the routine cleaning of the k1th equipment, and m1 is the number of equipment that needs to use the oil-consuming tool during routine cleaning; is the water consumption of the k2th equipment during routine cleaning, and m2 is the number of equipment that needs to use water cleaning during routine cleaning; is the running power of the electric tool used in the routine cleaning of the k3th equipment, is the running time of the electric tool used in the routine cleaning of the k3th equipment, and m3 is the number of equipment that needs to use the electric tool during routine cleaning.

[0085] The calculation formula of the carbon emissions in the operation and maintenance phase is:

[0086] C o = C o1 + C o2 + C o3 (9)

[0087] Step 4: Summing up the calculated carbon emissions in steps 2 and 3 above, i.e. obtaining the carbon emissions of the on-demand lighting technology of the expressway tunnel.

[0088] Finally, it should be pointed out that the above examples are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and all should be covered in the scope of the claims of the present application.

Claims

1. A method for calculating carbon emissions from on-demand lighting technology in highway tunnels, characterized in that, Define the carbon emission calculation boundary, including the construction phase and the operation and maintenance phase of tunnel lighting; calculate the carbon emissions of the construction phase and the operation and maintenance phase, and add up the carbon emissions of each phase to obtain the total carbon emissions of tunnel lighting on demand; The carbon emissions during the construction phase include those generated during the production, transportation, and on-site installation of equipment or materials. The carbon emissions during the operation and maintenance phase include the energy consumption of tunnel lighting fixtures, the carbon emissions from equipment damage and replacement, and routine cleaning and maintenance.

2. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 1, characterized in that, During the construction phase, the carbon emissions C generated during the production process of equipment or materials in the factory are... c1 The calculation formula is: Where n is the number of types of equipment or materials; f t Let be the energy consumption required during the production process of the t-th type of equipment or material; Let be the carbon emission factor corresponding to the energy required for the t-th type of equipment or material.

3. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 1, characterized in that, During the construction phase, the carbon emissions C generated during the transportation of equipment or materials... c2 The calculation formula is: Where J is the fuel carbon emission factor; n is the number of types of equipment or materials; Fuel consumption of the transport vehicles or construction machinery required for the t-th type of equipment or material; d t Let t be the transportation distance corresponding to the t-th type of equipment or material.

4. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 1, characterized in that, During the construction phase, the carbon emissions C generated during the on-site installation of equipment or materials... c3 The calculation formula is: Where J is the carbon emission factor for fuel oil and K is the carbon emission factor for electricity; This refers to the fuel consumption of the construction equipment required during the installation of the t1 type of equipment or material. The operating power of the electrical construction equipment required during the installation of the second type of equipment or material; This refers to the driving distance of the oil-using construction equipment required during the installation of the t1 type of equipment or material. This refers to the operating time of the electrical construction equipment required during the installation of the second type of equipment or material.

5. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 1, characterized in that, During the operation and maintenance phase, the carbon emissions C generated from the electrical energy consumption of tunnel lighting fixtures are... o1 The calculation formula is: Where m is the number of tunnel lighting fixtures; The operating power of the i-th tunnel lighting fixture when there are no vehicles passing through; The i-th tunnel light has the operating power when vehicles are passing through; denoted as , where is the duration of operation when no vehicles pass through the i-th tunnel lighting fixture; K is the carbon emission factor for electricity.

6. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 5, characterized in that, Duration of operation of the i-th tunnel lighting fixture when no vehicles are passing It is obtained using the Poisson distribution model, and the calculation model is as follows: Where λ is the average occurrence rate of random events per unit time; T is the given time period; l is the length of the illuminated section where the tunnel lighting fixtures are located; v is the vehicle speed in the tunnel; and N is the average daily traffic volume in the tunnel.

7. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 1, characterized in that, During the operation and maintenance phase, the carbon emissions generated from equipment damage and replacement are calculated by summing up the carbon emissions generated from equipment factory production, transportation, and on-site installation according to the carbon emission calculation method for the construction phase.

8. The carbon emission calculation method for on-demand lighting technology in highway tunnels according to claim 1, characterized in that, During the operation and maintenance phase, the carbon emissions C generated during routine cleaning and maintenance processes... o3 The calculation formula is: Where J is the carbon emission factor for fuel oil and L is the carbon emission factor for water use; Let k1 be the fuel consumed by the oil-using tools during the daily cleaning of the k1th device. Let m1 be the running distance of the oil-consuming tool used by the k1th device in daily cleaning, and m1 be the number of devices that require oil-consuming tools in daily cleaning. Let m2 be the daily cleaning water consumption of the k2th device, and m2 be the number of devices that need to be cleaned with water in the daily cleaning process. Let k3 be the operating power of the power tools used by the k-th device during daily cleaning. Let m3 be the runtime of the power tools used by the k3th device during daily cleaning, and m3 be the number of devices that require power tools during daily cleaning.

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