A low-carbon dynamic layout platform and method for a construction site based on intelligent monitoring

Abstract

The application provides a construction site low-carbon dynamic arrangement platform and method based on intelligent monitoring, the construction site low-carbon dynamic arrangement platform comprises 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; through multidimensional real-time monitoring and intelligent optimization technology, the resource allocation and site layout of the construction site are dynamically adjusted, so that a low-carbon, efficient and sustainable construction process is realized, the problems of resource waste, excessive energy consumption and excessive carbon emission in traditional construction management are solved, and the application has important social and economic values.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of building construction, and particularly relates to a construction site low-carbon dynamic layout platform and method based on intelligent monitoring. BACKGROUND

[0002] With the continuous improvement of global environmental awareness, the construction industry, as one of the main sources of energy consumption and carbon emissions, is facing increasingly stringent green environmental protection requirements. The construction site, as the front line of building engineering, its management and resource allocation directly affect the level of energy consumption and carbon emissions. Therefore, how to realize efficient use of resources and minimization of carbon emissions in the process of building construction has become a problem to be solved in the current construction industry.

[0003] The traditional construction site layout method relies on experience and is often carried out under a fixed layout scheme in the construction phase, lacking real-time monitoring and dynamic optimization adjustment of the construction site. Due to the lack of real-time data support and intelligent optimization means, the traditional layout method often leads to problems such as resource waste, high 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 information technology, Internet of Things technology, big data analysis, artificial intelligence and other emerging technologies to improve the management efficiency and resource utilization efficiency of the construction site. Although some research has proposed intelligent construction management schemes, such as construction resource monitoring systems based on the Internet of Things and construction scheduling optimization schemes based on artificial intelligence, most existing technologies are still limited to single-dimensional optimization, lacking comprehensive consideration of global, dynamic, and low-carbon optimization of the construction site.

[0005] Therefore, it is necessary to design a construction site low-carbon dynamic layout platform and method based on intelligent monitoring, which realizes low-carbon, efficient and sustainable construction process by using multi-dimensional real-time monitoring and intelligent optimization technology to dynamically adjust the resource allocation and site layout of the construction site, to solve the technical problems currently faced. SUMMARY

[0006] In view of the deficiencies in the prior art, the present application provides a construction site low-carbon dynamic layout platform and method based on intelligent monitoring, which realizes low-carbon, efficient and sustainable construction process by using multi-dimensional real-time monitoring and intelligent optimization technology to dynamically adjust the resource allocation and site layout of the construction site.

[0007] The technical scheme of the present application is: a construction site low-carbon dynamic layout platform based on intelligent monitoring, comprising: 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 types of data 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 acquisition 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 emission, and energy efficiency of the construction site, and output the data analysis results.

[0011] The dynamic optimization decision module is based on the data analysis results of the data processing and analysis module, and uses intelligent optimization algorithms to optimize the layout of the construction site, and generates an optimization scheme.

[0012] The real-time feedback and adjustment module is used to feedback the optimization scheme to the construction site and adjust the resource scheduling, equipment layout, and personnel arrangement.

[0013] The low-carbon monitoring and evaluation module is used to monitor the carbon emission and energy efficiency in real time during the construction process, evaluate the environmental impact under different operation modes, and propose 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 building material consumption data.

[0016] The energy monitoring instrument includes an electricity meter, a gas meter, and a flow meter, which are used to monitor the consumption of electricity, gas, and fuel at the construction site, and to collect energy consumption data.

[0017] The gas sensor includes a carbon dioxide sensor and a nitrogen oxide sensor, which are used to detect nitrogen oxide gas and carbon emission data generated during the construction process.

[0018] The smart wearable device includes a smart safety helmet and a smart wristband worn by construction personnel, which are used to monitor the working hours, working position, working intensity data, and GPS positioning of personnel in real time, and to collect personnel operation data.

[0019] The device monitoring sensor is used to collect the working status of the monitored equipment and collect equipment operation data.

[0020] The system includes sensors, smart devices, and wireless communication modules for real-time data collection and transmission, including building material transportation, equipment fuel consumption, power usage, carbon emissions, etc.

[0021] Further, the data transmission module is communicatively connected to the data collection module, and the data transmission module is communicatively connected to the cloud platform through wireless communication.

[0022] Further, the data processing and analysis module uses data cleaning algorithms to remove invalid or abnormal data, and performs adaptive processing and preprocessing for different data types; uses big data analysis tools to statistically analyze the data, find the rules and problems of resource use, carbon emissions, and equipment utilization in the construction process; uses machine learning algorithms to identify key factors affecting construction efficiency, resource utilization, and carbon emissions, and predicts possible bottlenecks or inefficient links in future construction processes based on historical data; generates dynamic adjustment plans based on real-time data analysis results.

[0023] Further, 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.

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

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

[0026] Further, the real-time feedback and adjustment module adjusts the resource allocation of equipment, material storage, and personnel scheduling in the construction site through an automated control system or manual intervention to implement the optimized decision.

[0027] Further, the low-carbon monitoring and evaluation module monitors the carbon emission data of the construction site in real time, quantitatively evaluates the environmental impact of different construction stages, and provides improvement plans.

[0028] The low-carbon dynamic arrangement method for construction sites based on intelligent monitoring uses the low-carbon dynamic arrangement platform for construction sites based on intelligent monitoring as described in any of the above embodiments, and includes the following steps:

[0029] S1, data collection, install sensors and smart devices in the construction site to collect building material, equipment, personnel operation, energy consumption, and carbon emission data in real time;

[0030] S2, data transmission, transmitting the collected data to the cloud data platform through the wireless network;

[0031] S3, data processing and analysis, using the data processing and analysis module to analyze the construction site data on the cloud data platform in real time, evaluating resource utilization, carbon emissions and energy efficiency;

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

[0033] S5, real-time feedback and adjustment, selecting the optimal scheme according to the evaluation results and feeding back to the construction site through the real-time feedback and adjustment module, adjusting resource allocation, equipment scheduling and personnel arrangement;

[0034] S6, low-carbon monitoring and evaluation, continuously monitoring carbon emissions and energy efficiency during construction, evaluating and providing improvement schemes to optimize the implementation effect of low-carbon construction process.

[0035] The beneficial effects of the present application are:

[0036] (1) The present application monitors and collects the construction site's building material consumption data, equipment operation data, personnel operation data, energy consumption data and carbon emission data in real time through the data acquisition module, optimizes the layout of the construction site in combination with the existing intelligent optimization algorithm, and generates an optimization scheme, so that the site can optimize resource allocation according to the optimization scheme, minimize carbon emissions, improve construction efficiency, and promote the development of the construction industry towards green and low-carbon direction;

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

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

[0039] Figure 2 The method flowchart of the construction site low-carbon dynamic layout method based on intelligent monitoring in the present application. DETAILED DESCRIPTION

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

[0041] The terms "first," "second," and similar words used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different parts. Words such as "including" or "comprising" mean that the element preceding the word encompasses the element listed after it, without excluding the possibility of encompassing other elements. Terms such as "upper," "lower," "left," and "right" are used only 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 for construction sites based on intelligent monitoring includes: 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.

[0043] The data acquisition module is used to collect various types of data from 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 acquisition module to the data processing and analysis module via 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 at the construction site, and output the data analysis results.

[0046] The dynamic optimization decision-making module optimizes the planar layout of the construction site based on the data analysis results of the data processing and analysis module, and generates an optimization scheme.

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

[0048] The low-carbon monitoring and assessment module is used to monitor carbon emissions and energy efficiency in real time during construction, assess the environmental impact under different operating modes, and propose improvement suggestions.

[0049] In this embodiment, a data acquisition module monitors and collects real-time data on building material consumption, equipment operation, personnel operations, energy consumption, and carbon emissions at the construction site. Combined with existing intelligent optimization algorithms, the site layout is optimized, generating an optimized plan. This allows for on-site resource allocation to be optimized, minimizing carbon emissions, improving construction efficiency, and promoting the green and low-carbon development of the construction industry. Through multi-dimensional real-time monitoring and intelligent optimization technology, the resource allocation and site layout are dynamically adjusted, achieving a low-carbon, efficient, and sustainable construction process. This solves problems such as resource waste, excessive energy consumption, and excessive carbon emissions in traditional construction management, and has significant social and economic value.

[0050] In some embodiments, 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 RFID tags attached to building materials, to track and record the transportation, storage, and usage status of building materials, and to collect building material consumption data, such as recording the consumption, storage location, and transportation route of materials like concrete, steel bars, and sand; the energy monitoring instrument includes an electricity meter, a gas meter, and a flow meter, used to monitor the consumption of electricity, gas, and fuel oil at the construction site, and to collect energy consumption data for evaluating energy efficiency; the gas sensor includes a carbon dioxide sensor and a nitrogen oxide sensor, used to detect nitrogen oxide gas and carbon emission data generated during construction, and to analyze carbon emission levels. The monitoring system helps assess and reduce environmental pollution during construction. The smart wearable devices include smart safety helmets and smart wristbands worn by construction workers, which monitor workers' working hours, work locations, work intensity data, and GPS positioning in real time. This data helps optimize personnel scheduling and avoid overlapping work or inefficient standby. Equipment monitoring sensors are used to collect the working status and operational data of the monitoring equipment. The system includes sensors, smart devices, and wireless communication modules for real-time collection and transmission of data such as building material transportation, equipment fuel consumption, electricity usage, and carbon emissions. For example, it monitors and collects the operating status of large equipment (such as excavators, tower cranes, and concrete mixers) at the construction site, including equipment start-up and shutdown times, working hours, fuel or electricity consumption, and emissions.

[0051] In some embodiments, the data transmission module is connected downlink to the data acquisition module and uplink to the cloud platform 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 real-time data collected by the data acquisition module to the cloud platform via a stable wireless network. The data transmission module ensures efficient information transmission and solves the data silo problem, enabling various types of information to be aggregated in real time on a centralized platform, providing a basis for subsequent analysis and decision-making. Specifically, the data transmission module uploads data to the cloud platform via wireless communication protocols (such as Wi-Fi, LoRa, Zigbee, etc.) to ensure data... To ensure security and stability, data transmission employs encryption and compression algorithms. During data transmission, low-latency, low-power communication technologies are used to guarantee rapid response and real-time feedback. More specifically, for data such as equipment monitoring, carbon emissions, and energy consumption, Low-Power Wide Area Network (LPWAN) technologies, such as LoRaWAN, are used for long-distance, low-power data transmission. For high-frequency real-time data (such as personnel location information and equipment status), Wi-Fi or other local area network technologies can be used for transmission to ensure low latency. Encryption protocols such as SSL / TLS are used to protect data transmission security. During transmission, redundancy and data verification mechanisms are implemented to ensure that data is not lost or erroneous during transmission.

[0052] In some embodiments, the data processing and analysis module is responsible for real-time processing, cleaning, and analysis of the massive amounts of collected data, providing a scientific basis for the intelligent optimization decision-making module. All data is stored in the cloud using a distributed storage system (such as Hadoop or Spark) to ensure data storage reliability and scalability. The data management system categorizes and stores data (such as equipment data, personnel data, and energy data) for easy subsequent querying and analysis. The data processing and analysis module uses data cleaning algorithms to remove invalid or abnormal data, ensuring data quality. It performs adaptation and preprocessing for different data types (such as time series data, categorical data, and sensor data) for subsequent analysis. It utilizes big data analytics tools (such as Apache...) Statistical analysis of data using tools such as Spark, Pandas, and NumPy in Python reveals patterns and problems in resource use, carbon emissions, and equipment utilization during construction. Machine learning algorithms (such as regression analysis and cluster analysis) identify key factors affecting construction efficiency, resource utilization, and carbon emissions, and predict potential bottlenecks or inefficiencies in future construction processes based on historical data. Dynamic adjustment plans are generated based on the analysis results of real-time data. For example, if a construction device is found to have low energy efficiency, the platform will automatically identify and push optimization suggestions (such as replacing the device or adjusting the work schedule).

[0053] In some embodiments, the intelligent optimization algorithm in the dynamic optimization decision-making module includes one or more of genetic algorithms, particle swarm optimization algorithms, and simulated annealing algorithms. The dynamic optimization decision-making module optimizes based on multiple objective functions, including minimizing carbon emissions, maximizing resource utilization, and minimizing the construction cycle. Specifically, the dynamic optimization decision-making module uses intelligent optimization algorithms, combined with real-time data analysis results, to dynamically adjust resource allocation, equipment scheduling, and personnel arrangements at the construction site, thereby maximizing construction efficiency and reducing carbon emissions. The implementation steps are divided into three steps: First, setting optimization objectives, determining multiple optimization objectives, such as minimizing carbon emissions, improving resource utilization, and shortening the construction cycle. These objectives are comprehensively evaluated through weights to ensure the comprehensiveness of the final solution. Second, selecting intelligent optimization algorithms, using intelligent optimization methods such as genetic algorithms (GA), particle swarm optimization algorithms (PSO), and simulated annealing algorithms (SA), generating multiple optimization schemes based on site data, and selecting the best scheme with the lowest resource consumption, lowest carbon emissions, and shortest construction cycle through simulation and evaluation. Third, dynamic optimization and adjustment, the optimization algorithm continuously adjusts the construction scheme based on real-time data and progress. During construction, changes in information such as equipment utilization, personnel arrangements, and material distribution will trigger optimization adjustments. Through the system feedback mechanism, the optimization plan is updated in real time to ensure that the optimization decision always adapts to the site conditions.

[0054] In some embodiments, the real-time feedback and adjustment module transforms the results of intelligent optimization decisions into specific, executable adjustment instructions and feeds them back to the construction site management personnel or automated systems 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 automated control systems or manual intervention to achieve the execution of optimization decisions. The automated control system (such as a scheduling system, material distribution system, or equipment control system) automatically adjusts the equipment scheduling, material storage, and personnel operation sequence at the construction site. In certain complex or unexpected situations (such as equipment failure or personnel absence), the system notifies the on-site management personnel of adjustment suggestions via a mobile app or web platform for manual intervention. After the adjustment instructions are issued to the construction site, the management personnel or automated control system execute them immediately, and the system monitors and feeds back 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 emissions of gases such as carbon dioxide and nitrogen oxides. This module quantifies the environmental impact of different construction phases by monitoring carbon emission data at the construction site in real time and provides improvement plans. Specifically, it estimates the carbon emissions of each construction phase by combining equipment operation data and energy consumption data. Carbon footprint calculation and assessment quantifies the carbon emissions of each construction phase using a carbon footprint calculation model (such as the ISO 14067 standard) and assesses the environmental impact under different operating modes. Based on the assessment results, it provides carbon emission optimization suggestions, such as adjusting equipment operation methods, improving energy efficiency, and using low-carbon materials, to help construction units reduce their carbon footprint.

[0056] In some embodiments, a method for low-carbon dynamic layout of construction sites based on intelligent monitoring is disclosed, employing the low-carbon dynamic layout platform for construction sites based on intelligent monitoring as described in any of the preceding embodiments, and including the following steps:

[0057] S1, Data collection: Sensors and smart devices are installed at the construction site to collect data on building materials, equipment, personnel operations, energy consumption, and carbon emissions in real time.

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

[0059] S3, Data Processing and Analysis, utilizes the data processing and analysis module to perform real-time analysis of construction site data from the cloud data platform, and assesses resource utilization, carbon emissions, and energy efficiency;

[0060] S4, dynamic optimization decision-making, generates multiple optimized 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 provides real-time feedback and adjustment, selects the optimal solution based on the evaluation results, and feeds it back 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 Assessment, continuously monitors carbon emissions and energy efficiency during construction, assesses and provides improvement plans, and optimizes the low-carbon implementation effect of the construction process.

[0063] The various embodiments of the present invention have now been described in detail. To avoid obscuring the concept of the invention, some details known in the art have not been described. Those skilled in the art will fully understand how to implement the technical solutions disclosed herein based on the above description.

[0064] The embodiments described above only illustrate some implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A low-carbon dynamic layout platform for construction sites based on intelligent monitoring, characterized in that, include: The system includes a data acquisition module, a data transmission module, a data processing and analysis module, a dynamic optimization decision-making module, a real-time feedback and adjustment module, and a low-carbon monitoring and evaluation module. The data acquisition module is used to collect various types of data from 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 acquisition module to the data processing and analysis module via 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 at the construction site, and output the data analysis results. The dynamic optimization decision-making module optimizes the planar layout of the construction site based on the data analysis results of the data processing and analysis module, and generates an optimization scheme. The real-time feedback and adjustment module is used to provide feedback to the construction site based on the optimization plan and to adjust resource scheduling, equipment layout, and personnel arrangements. The low-carbon monitoring and assessment module is used to monitor carbon emissions and energy efficiency in real time during construction, assess the environmental impact under different operating modes, and propose improvement suggestions. 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 RFID tags attached to building materials, and to track and record the transportation, storage and usage status of building materials, and to collect data on building material consumption. The energy monitoring instruments include electricity 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 a carbon dioxide sensor and a nitrogen oxide sensor, used to detect nitrogen oxide gas and carbon emission data generated during construction. The smart wearable devices include smart safety helmets and smart wristbands worn by construction workers, which monitor workers' working hours, work locations, work intensity data, and GPS positioning in real time, and collect workers' work 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, used to collect and transmit data in real time, including data on building material transportation, equipment fuel consumption, electricity usage, and carbon emissions.

2. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring as described in claim 1, characterized in that: The data transmission module is connected to the data acquisition module for downlink communication, and the data transmission module is connected to the cloud platform for uplink communication via wireless communication. The data processing and analysis module receives data transmitted by the data transmission module from the cloud platform.

3. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring as described in claim 1, characterized in that: The data processing and analysis module uses data cleaning algorithms to remove invalid or abnormal data, and performs adaptation and preprocessing for different data types; it uses big data analysis tools to perform statistical analysis on the data to discover patterns and problems in resource use, carbon emissions, and equipment utilization during construction; it uses machine learning algorithms to identify key factors affecting construction efficiency, resource utilization, and carbon emissions, and predicts potential bottlenecks or inefficient processes in future construction based on historical data; and it generates dynamic adjustment plans based on the analysis results of real-time data.

4. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring according to claim 3, characterized in that: The big data analytics tools include Apache Spark, Pandas and NumPy in Python; the machine learning algorithms include regression analysis algorithms and cluster analysis algorithms.

5. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring according to claim 1, characterized in that: The intelligent optimization algorithm includes one or more of the following: genetic algorithm, particle swarm optimization algorithm, and simulated annealing algorithm.

6. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring according to claim 1, characterized in that: The dynamic optimization decision module optimizes based on multiple objective functions, including minimizing carbon emissions, maximizing resource utilization, and minimizing the construction period.

7. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring according to claim 1, characterized in that: 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, so as to achieve the execution of optimized decisions.

8. The low-carbon dynamic layout platform for construction sites based on intelligent monitoring according to claim 1, characterized in that: The low-carbon monitoring and assessment module monitors carbon emission data at the construction site in real time, quantifies the environmental impact of different construction stages, and provides improvement solutions.

9. A method for low-carbon dynamic layout of construction sites based on intelligent monitoring, comprising using the low-carbon dynamic layout platform for construction sites based on intelligent monitoring as described in any one of claims 1 to 8, characterized in that, Includes the following steps: S1, Data collection: Sensors and smart devices are installed at the construction site to collect data on building materials, equipment, personnel operations, energy consumption, and carbon emissions in real time. S2, data transmission, transmits the collected data to the cloud data platform via wireless network; S3, Data Processing and Analysis, utilizes the data processing and analysis module to perform real-time analysis of construction site data from the cloud data platform, and assesses resource utilization, carbon emissions, and energy efficiency; S4, dynamic optimization decision-making, generates multiple optimized 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 provides real-time feedback and adjustment, selects the optimal solution based on the evaluation results, and feeds it back 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 Assessment, continuously monitors carbon emissions and energy efficiency during construction, assesses and provides improvement plans, and optimizes the low-carbon implementation effect of the construction process.

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