Construction site low-carbon dynamic arrangement platform and method based on intelligent monitoring

Abstract

The invention provides a construction site low-carbon dynamic arrangement platform and method based on intelligent monitoring, and the platform comprises a data collection module, a data transmission module, a data processing and analysis module, a real-time feedback and adjustment module, and a low-carbon monitoring and evaluation module. According to the invention, the resource allocation and site layout of the construction site are dynamically adjusted through the multi-dimensional real-time monitoring and intelligent optimization technology, so that the low-carbon, efficient and sustainable construction process is realized, the problems of resource waste, excessive energy consumption, excessive carbon emission and the like in traditional construction management are solved, and the system has important social and economic values.

Description

Technical Field

[0001] The present invention belongs to the field of building construction, and in particular relates to a low-carbon dynamic layout platform and method for a construction site based on intelligent monitoring. Background Art

[0002] As global environmental awareness continues to rise, the construction industry, as one of the main sources of energy consumption and carbon emissions, faces increasingly stringent green environmental protection requirements. As the forefront of construction projects, the management and resource allocation of construction sites directly affect the level of energy consumption and carbon emissions. Therefore, how to achieve efficient resource utilization and minimize carbon emissions during the construction process has become a problem that needs to be solved urgently in the current construction industry.

[0003] Traditional construction site layout methods rely more on experience, and are often carried out under fixed layout plans during the construction phase, lacking real-time monitoring and dynamic optimization and adjustment of the construction site. Due to the lack of real-time data support and intelligent optimization methods, traditional layout methods often lead to problems such as waste of resources, excessive energy consumption, excessive carbon emissions, and lagging management.

[0004] In order to solve these problems, in recent years, the construction industry has gradually tried to introduce emerging technologies such as information technology, Internet of Things technology, big data analysis, and artificial intelligence to improve the management efficiency and resource utilization efficiency of construction sites. Although some studies have proposed intelligent construction management solutions, such as construction resource monitoring systems based on the Internet of Things and construction scheduling optimization solutions based on artificial intelligence, most existing technologies are still limited to single-dimensional optimization and lack comprehensive consideration of the overall, dynamic, and low-carbon optimization of construction sites.

[0005] Therefore, it is necessary to design a low-carbon dynamic layout platform and method for construction sites based on intelligent monitoring to solve the current technical problems by dynamically adjusting the resource allocation and site layout of the construction site through multi-dimensional real-time monitoring and intelligent optimization technology, so as to achieve a low-carbon, efficient and sustainable construction process. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a low-carbon dynamic layout platform and method for construction sites based on intelligent monitoring, which dynamically adjusts the resource allocation and site layout of the construction site through multi-dimensional real-time monitoring and intelligent optimization technology, thereby realizing a low-carbon, efficient and sustainable construction process.

[0007] The technical solution of the present invention is: a low-carbon dynamic layout platform for construction sites based on intelligent monitoring, including: a data acquisition module, a data transmission module, a data processing and analysis module, a real-time feedback and adjustment module and a low-carbon monitoring and evaluation module;

[0008] The data acquisition module is used to collect various data of the construction site in real time, including building material consumption data, equipment operation data, personnel operation data, energy consumption data and carbon emission data;

[0009] The data transmission module is used to transmit the data collected by the data collection module to the data processing and analysis module through a wireless network;

[0010] The data processing and analysis module is used to process and analyze the transmitted data in real time, evaluate the resource utilization efficiency, carbon emissions and energy efficiency of the construction site, and output the data analysis results;

[0011] The dynamic optimization decision module optimizes the plane layout of the construction site based on the data analysis results of the data processing and analysis module and generates an optimization plan;

[0012] The real-time feedback and adjustment module is used to provide feedback to the construction site according to the optimization plan and adjust resource scheduling, equipment layout, and personnel arrangements;

[0013] The low-carbon monitoring and evaluation module is used to monitor carbon emissions and energy efficiency during the construction process in real time, evaluate the environmental impact under different operation modes, and put forward improvement suggestions.

[0014] Further, the data acquisition module includes: a barcode scanner, an energy monitoring instrument, a gas sensor, a smart wearable device, and a device monitoring sensor;

[0015] The barcode scanner is used to scan and identify the RFID tags attached to the building materials, to track and record the transportation, storage and use status of the building materials, and to collect the consumption data of the building materials;

[0016] The energy monitoring instruments include electric meters, gas meters, and flow meters, which are used to monitor the consumption of electricity, gas, and fuel oil at the construction site and collect energy consumption data;

[0017] The gas sensors include carbon dioxide sensors and nitrogen oxide sensors, which are used to detect nitrogen oxide gas and carbon emission data generated during the construction process;

[0018] The smart wearable devices include smart helmets and smart wristbands worn by construction workers, which monitor the workers' working hours, working locations, working intensity data, and GPS positioning in real time, and collect workers' working data;

[0019] Equipment monitoring sensors are used to collect the working status of monitoring equipment and collect equipment operation data;

[0020] It includes sensors, smart devices and wireless communication modules, which are used to collect and transmit data including construction material transportation, equipment fuel consumption, electricity usage, carbon emissions, etc. in real time.

[0021] Furthermore, the data transmission module is communicatively connected with the data acquisition module in the downstream, and is communicatively connected with the cloud platform in the upstream via wireless communication, and the data processing and analysis module receives the data transmitted by the data transmission module from the cloud platform.

[0022] Furthermore, the data processing and analysis module uses a data cleaning algorithm to remove invalid or abnormal data, and performs adaptive processing and preprocessing on different data types; uses big data analysis tools to perform statistical analysis on the data to discover the patterns and problems of resource use, carbon emissions and equipment utilization during the construction process; uses machine learning algorithms to identify key factors affecting construction efficiency, resource utilization and carbon emissions, and predicts bottlenecks or inefficient links that may arise in future construction processes based on historical data; and generates dynamic adjustment plans based on the analysis results of real-time data.

[0023] Furthermore, the big data analysis tools include Apache Spark, Pandas in Python, and Numpy; the machine learning algorithms include regression analysis algorithms and clustering analysis algorithms.

[0024] Furthermore, the intelligent optimization algorithm includes one or more of a genetic algorithm, a particle swarm optimization algorithm, and a simulated annealing algorithm.

[0025] Furthermore, the dynamic optimization decision module performs optimization based on multiple objective functions, including minimizing carbon emissions, maximizing resource utilization, and shortest construction period.

[0026] Furthermore, the real-time feedback and adjustment module adjusts the resource allocation of equipment, material storage, and personnel scheduling at the construction site through an automated control system or manual intervention to achieve the execution of optimized decisions.

[0027] Furthermore, the low-carbon monitoring and assessment module conducts quantitative assessment of the environmental impact of different construction stages by real-time monitoring of carbon emission data at the construction site, and provides improvement plans.

[0028] The low-carbon dynamic layout method of the construction site based on intelligent monitoring includes the following steps:

[0029] S1, data collection, installing sensors and smart devices at the construction site to collect real-time data on building materials, equipment, personnel operations, energy consumption and carbon emissions;

[0030] S2, data transmission, transmits the collected data to the cloud data platform via wireless network;

[0031] S3, data processing and analysis, uses the data processing and analysis module to conduct real-time analysis of construction site data on the cloud data platform to evaluate resource utilization, carbon emissions and energy efficiency;

[0032] S4, dynamic optimization decision-making, generates multiple optimization layout schemes for the construction site through intelligent optimization algorithms, and evaluates the resource utilization efficiency, carbon emissions and construction progress of each scheme;

[0033] S5, real-time feedback and adjustment, select the best solution based on the evaluation results, and feedback to the construction site through the real-time feedback and adjustment module to adjust resource allocation, equipment scheduling, and personnel arrangements;

[0034] S6, low-carbon monitoring and evaluation, continuously monitors carbon emissions and energy efficiency during the construction process, evaluates and provides improvement plans, and optimizes the low-carbon implementation effect of the construction process.

[0035] Beneficial effects of the present invention:

[0036] (1) The present invention uses a data acquisition module to monitor and collect construction material consumption data, equipment operation data, personnel operation data, energy consumption data and carbon emission data at the construction site in real time, and optimizes the plane layout of the construction site in combination with the existing intelligent optimization algorithm, and generates an optimization plan, so that the site can optimize resource allocation according to the optimization plan, minimize carbon emissions, improve construction efficiency, and promote the construction industry to develop in a green and low-carbon direction;

[0037] (2) The present invention dynamically adjusts the resource allocation and site layout of the construction site through multi-dimensional real-time monitoring and intelligent optimization technology, thereby achieving a low-carbon, efficient and sustainable construction process, solving the problems of resource waste, excessive energy consumption and excessive carbon emissions in traditional construction management, and has important social and economic value. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a principle block diagram of the low-carbon dynamic layout platform of the construction site based on intelligent monitoring in the present invention.

[0039] Figure 2 The present invention is a method flow chart of the method for low-carbon dynamic layout of construction sites based on intelligent monitoring. DETAILED DESCRIPTION

[0040] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the present invention and its application or use. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the present invention thorough and complete and to fully express the scope of the present invention to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the parts and steps, the composition of the materials, the numerical expressions and the numerical values ​​set forth in these embodiments should be interpreted as being merely exemplary, rather than as limitations.

[0041] The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different parts. The words "include" or "comprise" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of including other elements. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0042] like Figure 1 As shown, the low-carbon dynamic layout platform of the construction site based on intelligent monitoring includes: data acquisition module, data transmission module, data processing and analysis module, real-time feedback and adjustment module and low-carbon monitoring and evaluation module;

[0043] The data acquisition module is used to collect various data of the construction site in real time, including building material consumption data, equipment operation data, personnel operation data, energy consumption data and carbon emission data;

[0044] The data transmission module is used to transmit the data collected by the data collection module to the data processing and analysis module through a wireless network;

[0045] The data processing and analysis module is used to process and analyze the transmitted data in real time, evaluate the resource utilization efficiency, carbon emissions and energy efficiency of the construction site, and output the data analysis results;

[0046] The dynamic optimization decision module optimizes the plane layout of the construction site based on the data analysis results of the data processing and analysis module and generates an optimization plan;

[0047] The real-time feedback and adjustment module is used to provide feedback to the construction site according to the optimization plan and adjust resource scheduling, equipment layout, and personnel arrangements;

[0048] The low-carbon monitoring and evaluation module is used to monitor carbon emissions and energy efficiency during the construction process in real time, evaluate the environmental impact under different operation modes, and put forward improvement suggestions.

[0049] In this embodiment, the data acquisition module is used to monitor and collect the construction material consumption data, equipment operation data, personnel operation data, energy consumption data and carbon emission data of the construction site in real time, and the existing intelligent optimization algorithm is used to optimize the plane layout of the construction site, and an optimization plan is generated, so that the site can optimize resource allocation according to the optimization plan, minimize carbon emissions, improve construction efficiency, and promote the construction industry to develop in a green and low-carbon direction; through multi-dimensional real-time monitoring and intelligent optimization technology, the resource allocation and site layout of the construction site are dynamically adjusted to achieve a low-carbon, efficient and sustainable construction process, which solves the problems of resource waste, excessive energy consumption and excessive carbon emissions in traditional construction management, and has important social and economic value.

[0050] In some embodiments, the data acquisition module includes: a barcode scanner, an energy monitoring instrument, a gas sensor, an intelligent wearable device and an equipment monitoring sensor; the barcode scanner is used to scan and identify the RFID tags attached to the building materials, to track and record the transportation, storage and use status of the building materials, and to collect building material consumption data, for example, to record the consumption, storage location and transportation route of materials such as concrete, steel bars, sand and gravel; the energy monitoring instrument includes an electric meter, a gas meter and a flow meter, which are used to monitor the consumption of electricity, gas and fuel oil at the construction site, and to collect energy consumption data in order to evaluate the energy efficiency; the gas sensor includes a carbon dioxide sensor and a nitrogen oxide sensor, which are used to detect the nitrogen oxide gas and carbon emission data generated during the construction process, and to measure the carbon emissions. monitoring to help evaluate and reduce environmental pollution during construction; the smart wearable devices include smart helmets and smart wristbands worn by construction workers, which monitor the workers' working hours, work locations, work intensity data, and GPS positioning in real time, and collect workers' work data. The data can help optimize personnel scheduling and avoid overlapping work or inefficient standby of personnel; equipment monitoring sensors are used to collect the working status of monitoring equipment and collect equipment operation data; including sensors, smart devices and wireless communication modules, which are used to collect and transmit data including construction material transportation, equipment fuel consumption, electricity use, carbon emissions, etc. in real time. For example, monitor and collect the operating status of large equipment (such as excavators, tower cranes, concrete mixers, etc.) at the construction site, including equipment start and stop time, working hours, fuel or electricity consumption, emissions, etc.

[0051] In some embodiments, the data transmission module is connected to the data acquisition module in a downstream communication manner, and is connected to the cloud platform in an upstream communication manner via wireless communication. The data processing and analysis module receives data transmitted by the data transmission module from the cloud platform. The main function of the data transmission module is to transmit various types of real-time data collected by the data acquisition module to the cloud platform through a stable wireless network. The data transmission module ensures efficient transmission of information and solves the problem of data islands, so that various types of information can be aggregated to a centralized platform in real time, providing a basis for subsequent analysis and decision-making. Specifically, the data transmission module uploads data to the cloud platform through wireless communication protocols (such as Wi-Fi, LoRa, Zigbee, etc.). To ensure data To ensure the security and stability of data transmission, encryption and compression algorithms are used. During the data transmission process, low-latency and low-power communication technology is used to ensure rapid response and real-time feedback of data. More specifically, for data such as equipment monitoring, carbon emissions, and energy consumption, low-power wide area network (LPWAN) technology, such as LoRaWAN, is used for long-distance, low-power data transmission. For high-frequency real-time data (such as personnel location information, equipment status, etc.), Wi-Fi or other local network technologies can be used for transmission to ensure low latency of data. Encryption protocols such as SSL / TLS are used to protect the security of data transmission. During the transmission process, redundancy mechanisms and data verification mechanisms are set to ensure that data will not be lost or errors will occur during transmission.

[0052] In some embodiments, the data processing and analysis module is responsible for real-time processing, cleaning and analysis of the collected massive data to provide a scientific basis for the intelligent optimization decision module; all data are stored in the cloud, using a distributed storage system (such as Hadoop, Spark, etc.) to ensure the reliability and scalability of data storage; the data management system classifies and stores the data (such as equipment data, personnel data, energy data, etc.) to facilitate subsequent query and analysis; the data processing and analysis module uses a data cleaning algorithm to remove invalid or abnormal data to ensure data quality, and performs adaptation processing and preprocessing for different data types (such as time series data, classification data, sensor data, etc.) for subsequent analysis; big data analysis tools (such as Apache Spark, Pandas in Python, Numpy, etc.) to perform statistical analysis on the data to discover the patterns and problems in resource use, carbon emissions, and equipment utilization during the construction process; identify the key factors affecting construction efficiency, resource utilization, and carbon emissions through machine learning algorithms (such as regression analysis and cluster analysis), and predict bottlenecks or inefficient links that may appear in future construction processes based on historical data; generate dynamic adjustment plans based on the analysis results of real-time data; for example, if a certain construction equipment is found to have low energy efficiency, the platform will automatically identify and push optimization suggestions (such as replacing equipment or adjusting operation time).

[0053] In some embodiments, the intelligent optimization algorithm in the dynamic optimization decision module includes one or more of a genetic algorithm, a particle swarm optimization algorithm, and a simulated annealing algorithm; the dynamic optimization decision module is optimized based on multiple objective functions, and the objective functions include minimizing carbon emissions, maximizing resource utilization, and the shortest construction period; specifically, the dynamic optimization decision module dynamically adjusts the resource allocation, equipment scheduling, and personnel arrangement of the construction site through an intelligent optimization algorithm combined with real-time data analysis results, thereby maximizing construction efficiency and reducing carbon emissions; the implementation steps are divided into three steps, the first step is to set optimization goals and determine multiple optimization goals, such as minimizing carbon emissions, improving resource utilization, and shortening the construction period. These goals are comprehensively evaluated through weights to ensure the comprehensiveness of the final plan; the second step is to select an intelligent optimization algorithm, use genetic algorithms (GA), particle swarm optimization algorithms (PSO), simulated annealing algorithms (SA) and other intelligent optimization methods, generate multiple optimization plans based on field data, and select the best plan with the lowest resource consumption, the lowest carbon emissions, and the shortest construction period through simulation and evaluation; the third step is dynamic optimization and adjustment, and the optimization algorithm continuously adjusts the construction plan based on real-time data and progress. During the construction process, changes in information such as equipment utilization, personnel arrangements, and material distribution will trigger optimization adjustments. Through the system feedback mechanism, the optimization plan will be updated in real time to ensure that the optimization decision always adapts to the on-site conditions.

[0054] In some embodiments, the real-time feedback and adjustment module converts the results of the intelligent optimization decision into specific executable adjustment instructions, and feeds back to the management personnel or automation system at the construction site to ensure the timely execution of the optimization plan; the real-time feedback and adjustment module adjusts the resource allocation of equipment, material storage, and personnel scheduling at the construction site through the automated control system or manual intervention to achieve the execution of the optimization decision; wherein the automated control system automatically adjusts the equipment scheduling, material storage, and personnel work sequence at the construction site through the automated control system (such as the scheduling system, material distribution system, equipment control system, etc.); manual intervention and manual adjustment In certain complex or emergency situations (such as equipment failure, personnel absence, etc.), the system notifies the on-site management personnel of the adjustment suggestions through the mobile App or Web platform for manual intervention; after the adjustment instructions are issued to the construction site, the management personnel or the automated control system executes them immediately, and the system monitors the adjustment results in real time to ensure the effective execution of the optimization plan.

[0055] In some embodiments, the low-carbon monitoring and assessment module deploys gas sensors in key construction areas to monitor the emissions of gases such as carbon dioxide and nitrogen oxides; the low-carbon monitoring and assessment module monitors the carbon emission data of the construction site in real time, conducts quantitative assessments of the environmental impacts of different construction stages, and provides improvement plans; specifically, the carbon emissions of each construction link are estimated in combination with equipment operation data and energy consumption data; carbon footprint calculation and assessment uses a carbon footprint calculation model (such as the ISO 14067 standard) to quantify the carbon emissions of each construction stage and assess the environmental impacts under different operating modes; based on the assessment results, carbon emission optimization suggestions are provided, such as adjusting equipment operation modes, improving energy utilization efficiency, using low-carbon materials, etc., to help construction units reduce their carbon footprint.

[0056] In some embodiments, a method for dynamic low-carbon layout of a construction site based on intelligent monitoring is disclosed, comprising the following steps:

[0057] S1, data collection, installing sensors and smart devices at the construction site to collect real-time data on building materials, equipment, personnel operations, energy consumption and carbon emissions;

[0058] S2, data transmission, transmits the collected data to the cloud data platform via wireless network;

[0059] S3, data processing and analysis, uses the data processing and analysis module to conduct real-time analysis of construction site data on the cloud data platform to evaluate resource utilization, carbon emissions and energy efficiency;

[0060] S4, dynamic optimization decision-making, generates multiple optimization layout schemes for the construction site through intelligent optimization algorithms, and evaluates the resource utilization efficiency, carbon emissions and construction progress of each scheme;

[0061] S5, real-time feedback and adjustment, select the best solution based on the evaluation results, and feedback to the construction site through the real-time feedback and adjustment module to adjust resource allocation, equipment scheduling, and personnel arrangements;

[0062] S6, low-carbon monitoring and evaluation, continuously monitors carbon emissions and energy efficiency during the construction process, evaluates and provides improvement plans, and optimizes the low-carbon implementation effect of the construction process.

[0063] So far, various embodiments of the present invention have been described in detail. In order to avoid obscuring the concept of the present invention, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0064] The above-mentioned embodiments only express some implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A low-carbon dynamic layout platform for construction sites based on intelligent monitoring, characterized in that: include: Data acquisition module, data transmission module, data processing and analysis module, real-time feedback and adjustment module and low-carbon monitoring and evaluation module; The data acquisition module is used to collect various data of the construction site in real time, including building material consumption data, equipment operation data, personnel operation data, energy consumption data and carbon emission data; The data transmission module is used to transmit the data collected by the data collection module to the data processing and analysis module through a wireless network; The data processing and analysis module is used to process and analyze the transmitted data in real time, evaluate the resource utilization efficiency, carbon emissions and energy efficiency of the construction site, and output the data analysis results; The dynamic optimization decision module optimizes the plane layout of the construction site based on the data analysis results of the data processing and analysis module and generates an optimization plan; The real-time feedback and adjustment module is used to provide feedback to the construction site according to the optimization plan and adjust resource scheduling, equipment layout, and personnel arrangements; The low-carbon monitoring and evaluation module is used to monitor carbon emissions and energy efficiency during the construction process in real time, evaluate the environmental impact under different operation modes, and put forward improvement suggestions.

2. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized in that: The data acquisition module includes: a barcode scanner, an energy monitoring instrument, a gas sensor, a smart wearable device, and an equipment monitoring sensor; The barcode scanner is used to scan and identify the RFID tags attached to the building materials, to track and record the transportation, storage and use status of the building materials, and to collect the consumption data of the building materials; The energy monitoring instruments include electric meters, gas meters, and flow meters, which are used to monitor the consumption of electricity, gas, and fuel oil at the construction site and collect energy consumption data; The gas sensors include carbon dioxide sensors and nitrogen oxide sensors, which are used to detect nitrogen oxide gas and carbon emission data generated during the construction process; The smart wearable devices include smart helmets and smart wristbands worn by construction workers, which monitor the workers' working hours, working locations, working intensity data, and GPS positioning in real time, and collect workers' working data; Equipment monitoring sensors are used to collect the working status of monitoring equipment and collect equipment operation data; It includes sensors, smart devices and wireless communication modules, which are used to collect and transmit data including construction material transportation, equipment fuel consumption, electricity usage, carbon emissions, etc. in real time.

3. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized by: The data transmission module is connected to the data acquisition module for downstream communication, and is connected to the cloud platform for upstream communication via wireless communication. The data processing and analysis module receives data transmitted by the data transmission module from the cloud platform.

4. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized by: The data processing and analysis module uses a data cleaning algorithm to remove invalid or abnormal data, and performs adaptive processing and preprocessing on different data types; uses big data analysis tools to perform statistical analysis on the data to discover the patterns and problems of resource use, carbon emissions and equipment utilization during the construction process; uses machine learning algorithms to identify key factors affecting construction efficiency, resource utilization and carbon emissions, and predicts bottlenecks or inefficient links that may arise in future construction processes based on historical data; and generates dynamic adjustment plans based on the analysis results of real-time data.

5. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 4 is characterized by: The big data analysis tools include Apache Spark, Pandas and Numpy in Python; the machine learning algorithms include regression analysis algorithms and clustering analysis algorithms.

6. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized by: The intelligent optimization algorithm includes one or more of a genetic algorithm, a particle swarm optimization algorithm, and a simulated annealing algorithm.

7. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized by: The dynamic optimization decision module performs optimization based on multiple objective functions, including minimizing carbon emissions, maximizing resource utilization, and shortest construction period.

8. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized by: The real-time feedback and adjustment module adjusts the resource allocation of equipment, material storage, and personnel scheduling at the construction site through an automated control system or manual intervention to achieve the execution of optimized decisions.

9. The construction site low-carbon dynamic layout platform based on intelligent monitoring according to claim 1 is characterized by: The low-carbon monitoring and assessment module monitors the carbon emission data of the construction site in real time, conducts quantitative assessment of the environmental impact of different construction stages, and provides improvement plans.

10. A method for dynamic low-carbon layout of construction sites based on intelligent monitoring, characterized in that: The following steps are involved: S1, data collection, installing sensors and smart devices at the construction site to collect real-time data on building materials, equipment, personnel operations, energy consumption and carbon emissions; S2, data transmission, transmits the collected data to the cloud data platform via wireless network; S3, data processing and analysis, uses the data processing and analysis module to conduct real-time analysis of construction site data on the cloud data platform to evaluate resource utilization, carbon emissions and energy efficiency; S4, dynamic optimization decision-making, generates multiple optimization layout schemes for the construction site through intelligent optimization algorithms, and evaluates the resource utilization efficiency, carbon emissions and construction progress of each scheme; S5, real-time feedback and adjustment, select the best solution based on the evaluation results, and feedback to the construction site through the real-time feedback and adjustment module to adjust resource allocation, equipment scheduling, and personnel arrangements; S6, low-carbon monitoring and evaluation, continuously monitors carbon emissions and energy efficiency during the construction process, evaluates and provides improvement plans, and optimizes the low-carbon implementation effect of the construction process.

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