Road surface construction process carbon emission prediction system and method based on intelligent monitoring

Abstract

The invention relates to the technical field of carbon emission measurement and calculation, in particular to a pavement construction process carbon emission prediction system and method based on intelligent monitoring, and the system comprises a data collection module which monitors and collects the energy consumption data in the pavement construction process in real time; the data analysis module is used for determining a corresponding carbon emission factor according to the energy consumption data and determining the carbon emission in the pavement construction process according to the energy consumption data and the carbon emission factor; the information evaluation module receives the carbon emission in the pavement construction process, compares the carbon emission with a set threshold value, and adjusts a construction scheme in real time according to a comparison result; and the control center is connected with the data acquisition module, the data analysis module and the information evaluation module, realizes information transmission, and intensively displays output information of the data acquisition module, the data analysis module and the information evaluation module. Real-time monitoring of energy consumption data in the pavement construction process is achieved, decisions and on-site adjustment suggestions are given for a construction scheme, and carbon emission in the pavement construction process is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission measurement, and in particular to a carbon emission prediction system and method for a road construction process based on intelligent monitoring. Background Art

[0002] The global average temperature has risen sharply compared to pre-industrial levels, climate problems are becoming increasingly serious, and emission reduction actions are urgent.

[0003] As a major sector in the transportation industry, the development of highway infrastructure construction is conducive to expanding regional markets and population mobility, promoting regional exchanges, and reducing the economic and time costs of transportation. However, it also increases the carbon emissions of the transportation industry during pavement construction. It is not only related to global climate change, but also has important significance for the environmental impact assessment and sustainable development of construction projects. Therefore, in order to reduce the carbon emissions during highway construction, intelligent prediction of carbon emissions during pavement construction is urgent. In related technologies, carbon emission prediction often relies on methods such as empirical inference and manual estimation. These methods have certain limitations and it is difficult to guarantee the accuracy of the prediction results.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a carbon emission prediction system and method for the pavement construction process based on intelligent monitoring, realize real-time monitoring of energy consumption data in the pavement construction process, make decisions on the construction plan and provide on-site adjustment opinions, and reduce carbon emissions in the pavement construction process.

[0006] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a carbon emission prediction system for pavement construction process based on intelligent monitoring, comprising:

[0007] Data collection module, used for real-time monitoring and collection of energy consumption data during pavement construction;

[0008] A data analysis module, used to receive and analyze the energy consumption data obtained by the data acquisition module, and determine the corresponding carbon emission factor according to the energy consumption data, and determine the carbon emission amount during the pavement construction process according to the energy consumption data and the carbon emission factor;

[0009] The information evaluation module is used to receive the carbon emissions during the pavement construction process and compare it with the set threshold, and adjust the construction plan in real time according to the comparison results;

[0010] The control center is used to connect the data acquisition module, the data analysis module and the information evaluation module to realize information transmission and centrally display the output information of the data acquisition module, the data analysis module and the information evaluation module.

[0011] Furthermore, the data collection module includes a monitoring terminal and a plurality of collection terminals wirelessly connected to the monitoring terminal, each of the collection terminals is respectively arranged in each construction vehicle or construction equipment, and is used to collect energy consumption data of the corresponding construction vehicle or construction equipment in real time, and the monitoring terminal is used to receive the energy consumption data of the plurality of collection terminals and monitor in real time;

[0012] The monitoring end is connected to the data analysis module and sends the energy consumption data of the current construction stage to the data analysis module once at the end of each construction stage.

[0013] Furthermore, the construction stage includes a raw material collection stage, a raw material transportation stage, a mixture production stage, a mixture transportation stage, a mixture paving stage and a road layer rolling stage.

[0014] Furthermore, the data analysis module includes a factor database, a factor scoring unit and an energy consumption calculation unit;

[0015] The factor database includes a plurality of carbon emission factors, each of which corresponds to a construction material or a construction stage;

[0016] The factor scoring unit is used to perform quality scoring on the carbon emission factor according to the received energy consumption data of the current construction stage, screen and obtain multiple carbon emission factors that meet the energy consumption data, and sort the screened carbon emission factors in order according to the quality scores;

[0017] The energy consumption calculation unit is used to calculate the energy consumption of each construction stage based on the received energy consumption data of the current stage, and to obtain the carbon emissions of the construction process based on the energy consumption of each construction stage and the screened carbon emission factor.

[0018] Furthermore, the construction of the factor database includes the following steps:

[0019] Through literature research, papers or reports related to pavement construction were screened in the literature database, and carbon emission factor data were collected;

[0020] Conduct data statistics on the collected carbon emission factor data to form an initial list of carbon emission factors and their corresponding data sources and pavement construction conditions;

[0021] During the pavement construction process, the construction status of the pavement construction section is obtained in real time, the carbon emission factor of the current construction section is obtained, and the initial list is updated and supplemented with data in real time to form the factor database.

[0022] Furthermore, the scoring basis of the factor scoring unit includes accuracy, representativeness, timeliness, geography and reliability;

[0023] The accuracy is used to determine how the carbon emission factor is obtained, the data source, and how it is regularly updated;

[0024] The representativeness is used to determine the relevance of carbon emission factors to pavement construction and the coverage of environmental indicators;

[0025] The timeliness is used to determine the differences in the data collection years for carbon emission factors;

[0026] The geographical nature is used to determine the geographical applicability of the data for the carbon emission factor;

[0027] The reliability is used to determine the review status of the carbon emission factor;

[0028] The evaluation score Q of each carbon emission factor is obtained by the following formula:

[0029] Q=ΣX n ×q n

[0030] Among them, X n Indicates the corresponding weight coefficient of the nth item score, q n Indicates that the score of the nth item is based on the corresponding single item score.

[0031] Furthermore, the energy consumption E of each construction stage is i Obtained by the following formula:

[0032] E i =∑E ij

[0033] Among them, E ij It represents the energy consumption of the jth link in the i-th construction stage, in t;

[0034] The carbon emissions of the construction process are obtained by the following formula:

[0035] G 施 =ΣE i ·s i

[0036] Among them, E i represents the energy consumption of the i-th construction stage, in t;

[0037] si It represents the carbon emission factor obtained by screening in the i-th construction stage, in kg-CO2eq / t.

[0038] Furthermore, the carbon emissions during the road construction process are received and compared with a set threshold, and the construction plan is adjusted in real time according to the comparison result, including the following steps:

[0039] According to the carbon emissions of several previous road constructions before the road construction time, the average of the carbon emissions of several previous road constructions is determined as the set threshold;

[0040] When the carbon emissions during the pavement construction process are lower than the set threshold, no construction plan adjustment measures are implemented;

[0041] When the carbon emissions during the pavement construction process exceed the set threshold by 10% to 20%, a construction plan warning signal is issued, and whether to implement construction plan adjustment measures is determined according to the actual construction situation;

[0042] When the carbon emissions during the pavement construction process exceed the set threshold by 20%, the construction plan adjustment measures are immediately implemented;

[0043] Among them, the construction plan adjustment measures include changing the construction organization plan, changing the construction equipment and changing the construction process.

[0044] Furthermore, it also includes a scheme decision module, which is used to predict the carbon emissions of multiple construction schemes pre-set based on the construction budget in turn according to the information output by the data analysis module and the data evaluation module, and give corresponding adjustment measures for each construction scheme according to the prediction results.

[0045] The present invention also provides a method for predicting carbon emissions during pavement construction based on intelligent monitoring, comprising the following steps:

[0046] Real-time monitoring and collection of energy consumption data during pavement construction;

[0047] Receive and analyze the energy consumption data obtained by the data acquisition module, determine the corresponding carbon emission factor according to the energy consumption data, and determine the carbon emission amount during the pavement construction process according to the energy consumption data and the carbon emission factor;

[0048] Receive carbon emissions during pavement construction and compare them with set thresholds, and adjust construction plans in real time based on the comparison results;

[0049] The energy consumption data, carbon emission factors, carbon emissions and construction plan adjustment results are output and displayed centrally.

[0050] The beneficial effects of the present invention are as follows: through real-time monitoring and data analysis, the present invention can more accurately monitor the energy consumption and carbon emissions during the construction process, give adjustment suggestions in a timely manner, and improve the prediction accuracy, thereby helping to quickly respond to and optimize on-site construction plans according to monitoring results, reduce unnecessary energy consumption and carbon emissions, improve construction efficiency and quality, save energy and reduce emissions, and by setting up a control center, the output information of each module can be displayed, providing comprehensive decision-making support for construction management personnel and improving management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 It is a structural schematic diagram of a carbon emission prediction system for a pavement construction process based on intelligent monitoring in an embodiment of the present invention;

[0053] Figure 2 This is a structural diagram of a data acquisition module in an embodiment of the present invention;

[0054] Figure 3 This is a schematic diagram of the structure of a data analysis module in an embodiment of the present invention;

[0055] Figure 4 A schematic diagram of a process for constructing a factor database in an embodiment of the present invention;

[0056] Figure 5 Schematic diagram of the working process of the information evaluation module in an embodiment of the present invention;

[0057] Figure 6 It is a flow chart of a method for predicting carbon emissions during pavement construction based on intelligent monitoring in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0059] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0061] like Figures 1 to 5 The carbon emission prediction system for pavement construction process based on intelligent monitoring shown includes:

[0062] Data collection module, used for real-time monitoring and collection of energy consumption data during pavement construction;

[0063] A data analysis module is used to receive and analyze the energy consumption data obtained by the data acquisition module, determine the corresponding carbon emission factor according to the energy consumption data, and determine the carbon emission amount during the pavement construction process according to the energy consumption data and the carbon emission factor;

[0064] The information evaluation module is used to receive the carbon emissions during the pavement construction process and compare it with the set threshold, and adjust the construction plan in real time according to the comparison results;

[0065] The control center is used to connect the data acquisition module, data analysis module and information evaluation module to realize information transmission and centrally display the output information of the data acquisition module, data analysis module and information evaluation module.

[0066] Through real-time monitoring and data analysis, the present invention can more accurately monitor the energy consumption and carbon emissions during the construction process, give adjustment suggestions in a timely manner, and improve the prediction accuracy, which is helpful to quickly respond to and optimize on-site construction plans according to the monitoring results, reduce unnecessary energy consumption and carbon emissions, improve construction efficiency and quality, save energy and reduce emissions, and by setting up a control center, the output information of each module can be displayed, providing comprehensive decision-making support for construction management personnel and improving management efficiency.

[0067] The data acquisition module monitors and collects energy consumption data during pavement construction in real time, and transmits it to the data analysis module through the control center, ensuring the real-time and accuracy of the data, and providing a reliable basis for subsequent data analysis and prediction; the data analysis module receives the energy consumption data provided by the data acquisition module, determines the corresponding carbon emission factor by analyzing the energy consumption data and calculates the carbon emissions, which improves the accuracy and reliability of carbon emission prediction and helps to better control the carbon emissions during the overall construction process; the information evaluation module compares the carbon emissions obtained by the data analysis module with the preset environmental protection standards or thresholds, evaluates whether the carbon emissions during the construction process meet the emission requirements, and provides a basis for subsequent adjustments to the construction plan; by setting up a control center to connect various modules, centralized management and display of information is achieved, and at the same time, the construction process is monitored and adjusted in real time based on the feedback from the information evaluation module, which improves the centralization and efficiency of construction management.

[0068] On the basis of the above embodiment, the data collection module includes a monitoring terminal and a plurality of collection terminals wirelessly connected to the monitoring terminal, each collection terminal is respectively arranged in each construction vehicle or construction equipment, and is used to collect energy consumption data of the corresponding construction vehicle or construction equipment in real time, and the monitoring terminal is used to receive energy consumption data of multiple collection terminals and monitor in real time;

[0069] The monitoring end is connected to the data analysis module and sends the energy consumption data of the current construction stage to the data analysis module once at the end of each construction stage.

[0070] The collection end can be set as a sensor or other component, and no specific restrictions are made here. Each collection end is independently set in different construction vehicles or construction equipment to realize real-time collection of energy consumption data, improve the coverage and accuracy of data collection, and be able to conduct specific analysis on the energy consumption of different equipment and vehicles; wireless communication technology is used between the collection end and the monitoring end to realize real-time data transmission, simplify wiring requirements, improve the flexibility and safety of the construction site, and speed up data transmission; the monitoring end receives data from each collection end in real time and monitors it, ensuring the real-time nature of the data, so that management personnel can immediately understand the on-site energy consumption situation and quickly respond to possible anomalies; at the end of each construction stage, the monitoring end sends the energy consumption data of that stage to the data analysis module, providing the data analysis module with structured and phased data, which is conducive to phased carbon emission analysis and evaluation, and provides comprehensive data support for subsequent data analysis, providing a basis for the optimization of the construction process.

[0071] Based on the above embodiment, the time period can be divided according to the construction stage, which includes the raw material collection stage, the raw material transportation stage, the mixture production stage, the mixture transportation stage, the mixture paving stage and the road layer rolling stage.

[0072] In the raw material collection stage, general raw materials include asphalt, cement, aggregates and admixtures. Some materials are obtained by mining, and some materials are obtained by chemical preparation. At this time, the collection end can be set on the mining equipment or preparation equipment to monitor the energy consumption in the raw material collection stage. After the raw material collection is completed, the raw materials need to be transported to the location of the mixing plant. At this time, the collection end can be set on the raw material transportation vehicle to monitor the energy consumption in the raw material transportation stage in real time; after being transported to the mixing plant, the raw materials need to be mixed by the mixing plant and related transmission and transportation equipment to produce the mixture required in the construction process. At this time, the collection end can be set on the mixing plant and related transmission and transportation equipment to monitor the energy consumption in the mixture production stage in real time; after the mixture is produced, the mixture needs to be transferred to the construction site by the mixture transportation vehicle. At this time, the collection end can be set on the mixture transportation vehicle to monitor the energy consumption of the mixture transportation process in real time; accordingly, in the mixture paving stage and the road layer rolling stage, the collection end can be set on the corresponding paver, roller and other working equipment, so as to monitor and obtain the corresponding energy consumption data in real time.

[0073] Based on the above embodiment, the data analysis module includes a factor database, a factor scoring unit and an energy consumption calculation unit;

[0074] The factor database includes several carbon emission factors, each of which corresponds to a construction material or a construction stage, ensuring the comprehensiveness and pertinence of the data in the factor database and providing a data basis for subsequent analysis;

[0075] The factor scoring unit is used to perform quality scoring on the carbon emission factors according to the received energy consumption data of the current construction phase, screen out multiple carbon emission factors that meet the energy consumption data, and sort the screened carbon emission factors in order according to the quality scores; through the quality scoring mechanism, the carbon emission factors most relevant to the current energy consumption data can be identified, which improves the accuracy and efficiency of carbon emission prediction. The intelligent screening and sorting mechanism of the factor scoring unit reduces the workload and error rate of manual screening, improves the efficiency of data processing, and ensures the scientificity and accuracy of carbon emission prediction;

[0076] The energy consumption calculation unit is used to calculate the energy consumption of each construction stage based on the received energy consumption data of the current stage, and to obtain the carbon emissions of the construction process based on the energy consumption of each construction stage and the screened carbon emission factors; it realizes the accurate calculation of the energy consumption and carbon emissions of the construction stage, and provides a quantitative basis for the carbon emission management of the construction process.

[0077] Based on the above embodiment, the construction of the factor database includes the following steps:

[0078] Through literature research, we screened papers or reports related to pavement construction in the literature database and collected carbon emission factor data, ensuring that the basic data of the database came from peer-reviewed academic research, which improved the reliability and authority of the data. This includes domestic and foreign research reports, well-known databases, etc.

[0079] The collected carbon emission factor data are statistically analyzed to form an initial list of carbon emission factors and their corresponding data sources and pavement construction conditions, providing a structured starting point for the database to facilitate subsequent data management and analysis;

[0080] During the pavement construction process, the construction status of the pavement construction section is obtained in real time, the carbon emission factor of the current construction section is obtained, and the initial list is updated and supplemented with data in real time to form a factor database; real-time updating of data is achieved, the timeliness and practicality of the factor database are improved, and it is ensured that the factor database can reflect the latest construction practices and technological developments, thereby improving the accuracy of the prediction results.

[0081] It should be noted that in the process of data statistics, generally after inputting relevant papers or reports, the carbon emission factors and related situations can be automatically identified. When identification fails, manual input of data can also be used. No specific restrictions are made here.

[0082] Based on the above embodiment, the scoring basis of the factor scoring unit includes accuracy, representativeness, timeliness, geography and reliability;

[0083] Among them, accuracy is used to determine how the carbon emission factor is obtained, the data source, and the regular update;

[0084] Representatively used to determine the relevance of carbon emission factors to pavement construction and the coverage of environmental indicators;

[0085] Time is used to determine the differences in data collection years for carbon emission factors;

[0086] Geography The geographical applicability of the data used to determine the carbon emission factors;

[0087] Reliability is used to determine the review of carbon emission factors;

[0088] The evaluation score Q of each carbon emission factor is obtained by the following formula:

[0089] Q=ΣX n ×q n

[0090] Among them, X n Indicates the corresponding weight coefficient of the nth item score, q nIndicates that the score of the nth item is based on the corresponding single item score.

[0091] Among them, the output results of the carbon emission factor obtained by screening the factor scoring unit are shown in Table 1 below. In the specific evaluation process, the individual scores of each scoring basis are combined by setting the corresponding weight coefficient of the individual scoring basis and the weighted summation method to form the final evaluation score of each carbon emission factor. The importance of different scoring bases is taken into account, and a comprehensive evaluation of the carbon emission factor is achieved. In addition, a weight coefficient can be set for each scoring basis according to different construction requirements to reflect its importance in the comprehensive scoring, thereby improving the flexibility and adaptability of the scoring method.

[0092] Table 1: Scoring basis and output result description

[0093]

[0094] Among them, when selecting from multiple carbon emission factors collected and screened, managers can make choices based on the optimal solution recommended by the system, or they can manually intervene and select the required carbon emission factors from the multiple carbon emission factors provided. No specific restrictions are made here.

[0095] Based on the above example, the energy consumption E of each construction stage is i Obtained by the following formula:

[0096] E i =∑E ij

[0097] Among them, E ij It represents the energy consumption of the jth link in the i-th construction stage, in t;

[0098] The carbon emissions during the construction process are obtained by the following formula:

[0099] G 施 =ΣE i ·s i

[0100] Among them, E i represents the energy consumption of the i-th construction stage, in t;

[0101] s i It represents the carbon emission factor obtained by screening in the i-th construction stage, in kg-CO2eq / t.

[0102] Energy consumption E i It is calculated by calculating the energy consumption E of all links j in the i-th construction stage. ijThe energy consumption of each construction stage is subdivided to ensure the integrity of the data. The links in the construction stage can be divided according to time intervals or according to the number of installed collection terminals in this construction stage to ensure the comprehensiveness of data collection. By multiplying and summing the carbon emission factors and energy consumption in each construction stage, the carbon emissions of the construction process up to the current construction stage can be obtained, which improves the accuracy of the calculation, thereby providing data support for the subsequent adjustment and management of the construction plan, reducing energy consumption and carbon emissions, and promoting sustainable development.

[0103] Among them, by summing up the energy consumption of each construction stage, the total energy consumption of the entire road construction process can be obtained, so as to monitor the energy consumption and achieve the effect of energy saving and emission reduction.

[0104] Based on the above embodiment, the carbon emissions during the road construction process are received and compared with the set threshold, and the construction plan is adjusted in real time according to the comparison result, including the following steps:

[0105] According to the carbon emissions of several previous road constructions before the road construction time, the average of the carbon emissions of several previous road constructions is determined as the set threshold;

[0106] When the carbon emissions during the pavement construction process are lower than the set threshold, it means that the carbon emissions up to the current construction stage are within the normal controllable range, and no intervention is required, and no construction plan adjustment measures will be implemented;

[0107] When the carbon emissions during the pavement construction process exceed the set threshold by 10% to 20%, it means that the carbon emissions up to the current construction stage are beyond the normal controllable range, and a construction plan warning signal needs to be issued. It is determined whether to implement the construction plan adjustment measures based on the actual construction situation. For example, when it comes to the final construction stage, the proportion exceeding the set threshold is small, and the impact of continued construction on carbon emissions is very small, then the construction plan adjustment measures may not be implemented. If it is at the beginning of the construction stage, if the construction plan is not adjusted, it will have a greater impact on the carbon emissions in the subsequent construction stages, then it is necessary to implement the construction plan adjustment measures based on the actual construction needs;

[0108] When the carbon emissions during the pavement construction process exceed the set threshold by 20%, it means that the carbon emissions up to the current construction stage are far beyond the normal controllable range, and the construction plan adjustment measures need to be implemented immediately;

[0109] Among them, the construction plan adjustment measures include changing the construction organization plan, changing the construction equipment and changing the construction process. Specifically, changing the construction organization plan includes adjusting the transportation route, changing the location of the mixing station, adjusting the production speed of the mixture, adjusting the construction speed, adjusting the waiting time between different construction equipment, etc. Replacing construction equipment includes eliminating old equipment and partially replacing new energy equipment, etc.; changing construction processes includes using low-carbon construction technology, using energy regeneration technology, using solid waste recycling technology, etc.

[0110] By analyzing the carbon emissions of road construction in previous years and determining the average as the threshold, a benchmark is provided for current construction, which helps to reasonably set carbon emission targets. Real-time monitoring of carbon emissions during the construction process and comparison with the set threshold makes it possible to respond quickly, effectively control and reduce carbon emissions, and meet environmental protection requirements.

[0111] On the basis of the above-mentioned embodiment, it also includes a scheme decision module, which is used to predict the carbon emissions of multiple construction schemes pre-set based on the construction budget in turn according to the information output by the data analysis module and the data evaluation module, and give corresponding adjustment measures for each construction scheme according to the prediction results.

[0112] According to the construction budget and basic information of the construction site, such as the length, width, thickness, density and other basic engineering quantity information of the pavement, the construction plan for various situations can be pre-set when designing the construction drawings. The preset construction plan should initially meet the economic, environmental, and life expectancy requirements. At this time, the carbon emissions of the preset construction plan can be predicted through the information in the data analysis module and the data evaluation module, so as to determine the construction plan that meets the carbon emission requirements. At the same time, corresponding adjustment measures can be suggested for each construction plan to make it meet the carbon emission requirements, thereby achieving the purpose of intelligent decision-making support for the construction plan before actual construction.

[0113] like Figure 6 As shown, the present invention also provides a method for predicting carbon emissions during pavement construction based on intelligent monitoring, comprising the following steps:

[0114] Real-time monitoring and collection of energy consumption data during pavement construction;

[0115] Receive and analyze the energy consumption data obtained by the data acquisition module, determine the corresponding carbon emission factor based on the energy consumption data, and determine the carbon emissions during the pavement construction process based on the energy consumption data and the carbon emission factor;

[0116] Receive carbon emissions during pavement construction and compare them with set thresholds, and adjust construction plans in real time based on the comparison results;

[0117] The energy consumption data, carbon emission factors, carbon emissions and construction plan adjustment results are output and displayed centrally.

[0118] Through real-time monitoring and data analysis, it is possible to more accurately monitor energy consumption and carbon emissions during the construction process, give timely adjustment suggestions, and improve prediction accuracy, which will help to quickly respond to and optimize on-site construction plans based on monitoring results, reduce unnecessary energy consumption and carbon emissions, improve construction efficiency and quality, save energy and reduce emissions, and by displaying the output information of each module, provide comprehensive decision-making support for construction management personnel and improve management efficiency.

[0119] The specific working process of the above method has been described in the embodiment of the corresponding system and will not be repeated here.

[0120] Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A carbon emission prediction system for pavement construction process based on intelligent monitoring, characterized in that: include: Data collection module, used for real-time monitoring and collection of energy consumption data during pavement construction; A data analysis module, used to receive and analyze the energy consumption data obtained by the data acquisition module, and determine the corresponding carbon emission factor according to the energy consumption data, and determine the carbon emission amount during the pavement construction process according to the energy consumption data and the carbon emission factor; The information evaluation module is used to receive the carbon emissions during the pavement construction process and compare it with the set threshold, and adjust the construction plan in real time according to the comparison results; The control center is used to connect the data acquisition module, the data analysis module and the information evaluation module to realize information transmission and centrally display the output information of the data acquisition module, the data analysis module and the information evaluation module.

2. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 1 is characterized in that: The data collection module includes a monitoring terminal and a plurality of collection terminals wirelessly connected to the monitoring terminal, each of the collection terminals is respectively arranged in each construction vehicle or construction equipment, and is used to collect energy consumption data of the corresponding construction vehicle or construction equipment in real time, and the monitoring terminal is used to receive the energy consumption data of the plurality of collection terminals and monitor in real time; The monitoring end is connected to the data analysis module and sends the energy consumption data of the current construction stage to the data analysis module once at the end of each construction stage.

3. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 1 is characterized in that: The construction stages include a raw material collection stage, a raw material transportation stage, a mixture production stage, a mixture transportation stage, a mixture paving stage and a road layer rolling stage.

4. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 1 is characterized in that: The data analysis module includes a factor database, a factor scoring unit and an energy consumption calculation unit; The factor database includes a plurality of carbon emission factors, each of which corresponds to a construction material or a construction stage; The factor scoring unit is used to perform quality scoring on the carbon emission factor according to the received energy consumption data of the current construction stage, screen and obtain multiple carbon emission factors that meet the energy consumption data, and sort the screened carbon emission factors in order according to the quality scores; The energy consumption calculation unit is used to calculate the energy consumption of each construction stage based on the received energy consumption data of the current stage, and to obtain the carbon emissions of the construction process based on the energy consumption of each construction stage and the screened carbon emission factor.

5. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 4 is characterized in that: The construction of the factor database includes the following steps: Through literature research, papers or reports related to pavement construction were screened in the literature database, and carbon emission factor data were collected; Conduct data statistics on the collected carbon emission factor data to form an initial list of carbon emission factors and their corresponding data sources and pavement construction conditions; During the pavement construction process, the construction status of the pavement construction section is obtained in real time, the carbon emission factor of the current construction section is obtained, and the initial list is updated and supplemented with data in real time to form the factor database.

6. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 5 is characterized in that: The scoring basis of the factor scoring unit includes accuracy, representativeness, timeliness, geography and reliability; The accuracy is used to determine how the carbon emission factor is obtained, the data source, and how it is regularly updated; The representativeness is used to determine the relevance of carbon emission factors to pavement construction and the coverage of environmental indicators; The timeliness is used to determine the differences in the data collection years for carbon emission factors; The geographical nature is used to determine the geographical applicability of the data for the carbon emission factor; The reliability is used to determine the review status of the carbon emission factor; The evaluation score Q of each carbon emission factor is obtained by the following formula: Q=ΣX n ×q n Among them, X n Indicates the corresponding weight coefficient of the nth item score, q n Indicates that the score of the nth item is based on the corresponding single item score.

7. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 6 is characterized in that: The energy consumption E of each construction stage i Obtained by the following formula: AND i =∑E ij Among them, E ij It represents the energy consumption of the jth link in the i-th construction stage, in t; The carbon emissions of the construction process are obtained by the following formula: G 施 =ΣE i ·s i Among them, E i represents the energy consumption of the i-th construction stage, in t; s i It represents the carbon emission factor obtained by screening in the i-th construction stage, in kg-CO2eq / t.

8. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 1 is characterized in that: The receiving of carbon emissions during the road construction process and comparing it with a set threshold, and adjusting the construction plan in real time according to the comparison result, includes the following steps: According to the carbon emissions of several previous road constructions before the road construction time, the average of the carbon emissions of several previous road constructions is determined as the set threshold; When the carbon emissions during the pavement construction process are lower than the set threshold, no construction plan adjustment measures are implemented; When the carbon emissions during the pavement construction process exceed the set threshold by 10% to 20%, a construction plan warning signal is issued, and whether to implement construction plan adjustment measures is determined according to the actual construction situation; When the carbon emissions during the pavement construction process exceed the set threshold by 20%, the construction plan adjustment measures are immediately implemented; Among them, the construction plan adjustment measures include changing the construction organization plan, changing the construction equipment and changing the construction process.

9. The carbon emission prediction system for pavement construction process based on intelligent monitoring according to claim 1 is characterized in that: It also includes a scheme decision module, which is used to predict the carbon emissions of multiple construction schemes pre-set based on the construction budget in turn according to the information output by the data analysis module and the data evaluation module, and give corresponding adjustment measures for each construction scheme according to the prediction results.

10. A method for predicting carbon emissions during pavement construction based on intelligent monitoring, characterized in that: The following steps are involved: Real-time monitoring and collection of energy consumption data during pavement construction; Receive and analyze the energy consumption data obtained by the data acquisition module, determine the corresponding carbon emission factor according to the energy consumption data, and determine the carbon emission amount during the pavement construction process according to the energy consumption data and the carbon emission factor; Receive carbon emissions during pavement construction and compare them with set thresholds, and adjust construction plans in real time based on the comparison results; The energy consumption data, carbon emission factors, carbon emissions and construction plan adjustment results are output and displayed centrally.

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