Intelligent construction site management system and method based on Internet of Things

Abstract

The invention relates to the field of construction sites, and discloses an intelligent construction site management system and method based on the Internet of Things, and the system comprises an architecture design scheduling module which is used for designing a corresponding management architecture and adjusting the corresponding management architecture according to the real-time condition of a construction site; the architecture design scheduling module is connected with an acquisition module, and the acquisition module acquires various information data of a construction site through various devices, thereby providing a basis for subsequent judgment and management. According to the intelligent construction site management platform, the formula calculation module is arranged, the field dust value is collected, the collected dust data is compared with the threshold value, and a corresponding processing scheme is adopted, so that the situation that the working environment is influenced when the dust in the construction site is large is avoided, and compared with an existing intelligent construction site management platform which neglects the field environment, the intelligent construction site management platform has the advantages that the working efficiency is improved. The platform pays more attention to the environmental health of a construction site.

Description

Technical Field

[0001] The present invention relates to the technical field of construction sites, and in particular to an intelligent construction site management system and method based on the Internet of Things. Background Art

[0002] The smart construction site management platform is based on the Internet of Things technology, combined with modern information technologies such as cloud computing, big data, and artificial intelligence to achieve intelligent management of the construction process. The platform can improve the control level of construction quality, safety, cost, and progress, thereby improving the work efficiency of construction site workers and enhancing industry supervision and service capabilities. Specifically involved in the following aspects: Internet of Things technology: By deploying various sensors, cameras, locators and other equipment on the construction site, various data on the construction site, such as personnel location, equipment operation status, and environmental monitoring, are collected in real time. Cloud computing technology: Based on cloud computing technology, the platform provides a comprehensive solution for construction site management, including data storage, backup, and security functions. Intelligent monitoring system: Smart construction sites use information and intelligent means, including video monitoring systems, environmental dust monitoring systems, face recognition gate systems, and intelligent helmet positioning systems, to improve the construction site information system and monitor the dynamics of construction sites in real time. BIM technology: The application of building information modeling (BIM) technology in smart construction sites realizes digital management of the construction process. 5G technology: The application of the fifth generation of mobile communication technology (5G) has improved the data transmission speed and real-time performance, providing technical support for remote monitoring and management of construction sites.

[0003] During the use of existing smart construction site management platforms, on-site equipment or the number of personnel is usually monitored and managed, which may lead to the neglect of the on-site construction environment. During the construction process, dust or large amounts of dust are prone to occur, which not only affects the on-site construction environment but also causes harm to the health of the construction workers. At the same time, it is also easy to ignore the safety of the site, such as the wearing of safety helmets, resulting in the safety of the workers cannot be effectively guaranteed during the construction process, resulting in safety hazards. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a smart construction site management system and method based on the Internet of Things, which solves the problem that the existing smart construction site management platform focuses more on the monitoring and management of equipment and the number of personnel, easily ignores the construction environment and safety guarantees (such as dust hazards and problems with wearing safety helmets), and poses a safety hazard.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart construction site management system based on the Internet of Things, including an architecture design and scheduling module, the architecture design and scheduling module is used to design a corresponding management architecture and adjust the corresponding management architecture according to the real-time situation of the construction site;

[0006] The architecture design scheduling module is connected to a collection module, which collects various information data of the construction site through various devices, thereby providing a basis for subsequent judgment and management.

[0007] The architecture design scheduling module is connected to a project management module, which is used to perform project management.

[0008] The architecture design scheduling module is connected to a personnel management module, and the personnel management module understands the movement of construction personnel through the personnel location information collected by the collection module;

[0009] The architecture design scheduling module is connected to a device management module, and the device management module performs scheduling control management of the device based on the device location information collected by the collection module;

[0010] The architecture design scheduling module is connected to a scenario analysis module, which collects various parameters of the on-site construction environment through a collection module for scenario analysis;

[0011] The architecture design scheduling module is connected to an abnormality analysis module, which is used to monitor the environmental safety, personnel safety, and equipment safety of the construction site. The abnormality analysis module is connected to a formula calculation module, which is provided with a separate calculation formula, and substitutes the collected information into the formula for calculation, and transmits the calculation result to the threshold comparison module. The formula calculation module is connected to a threshold comparison module, in which the staff needs to preset a threshold value to facilitate the comparison of the formula calculation results, and start the corresponding implementation plan according to the comparison results. The threshold comparison module is connected to an implementation plan module, and the implementation plan module is provided with a plurality of different response measures.

[0012] Preferably, the various information in the acquisition module includes: personnel location, equipment operating status, and environmental monitoring, and the various devices include sensors, cameras, and locators.

[0013] Preferably, the project management content in the project management module specifically includes early project planning, mid-term project implementation and late project delivery.

[0014] Preferably, the parameters in the scene analysis module include wind force, temperature and dust concentration.

[0015] Preferably, the countermeasures include:

[0016] Environmental safety plan: When the dust concentration index is greater than the threshold: turn on all available spray dust reduction equipment, adjust the spray volume to the maximum, form a dense water mist curtain, quickly reduce the concentration of dust particles suspended in the air, and suspend all current construction activities that generate a lot of dust, including open-air sand and gravel crushing and concrete mixing; when the dust concentration index is less than the threshold: maintain a normal environmental monitoring frequency, continue to pay attention to the trend of dust concentration changes, ensure that the dust concentration is always within a safe range, and conduct regular inspections and maintenance of dust reduction equipment to ensure that it is in good standby condition at all times; when the dust concentration index is equal to the threshold: temporarily maintain the current construction status, but closely observe the dynamic changes in dust concentration, review every 30 minutes, and check the current construction process and equipment operating parameters to see if there are factors that may cause the dust concentration to increase, including whether the equipment sealing is reduced and whether the material conveying speed is too fast.

[0017] Preferably, the countermeasures scheme also includes:

[0018] Personnel safety plan: When the accuracy of helmet wearing detection is greater than the threshold: praise and encourage the wearing of helmets at the construction site, and publicize the importance of correct helmet wearing and the current good wearing situation through the broadcasting system and bulletin boards; When the accuracy of helmet wearing detection is less than the threshold: the system automatically triggers an alarm, and sends a voice alarm through the broadcasting system of the construction site, prompting personnel who do not wear helmets correctly to make corrections immediately, and arranges safety managers to conduct on-site education for personnel who do not wear helmets correctly, and explain to them in detail the serious safety risks that may be caused by improper helmet wearing; When the accuracy of helmet wearing detection is equal to the threshold: maintain the current monitoring and management measures, and continue to pay attention to the wearing of helmets. Strengthen daily inspections of construction sites, randomly check the helmet wearing situation of some construction personnel, and ensure that the accuracy of the detection system is consistent with the actual situation.

[0019] Preferably, the countermeasures scheme also includes:

[0020] Equipment safety plan: When the equipment energy efficiency is greater than the threshold: immediately suspend the operation of the equipment, and perform maintenance and troubleshooting on the equipment that is greater than the threshold, find out the equipment failure problems in advance, and ensure the safety of construction; when the equipment energy efficiency is less than the threshold: record and analyze the equipment's operating status in detail, and summarize the reasons and experience for the low energy consumption of the equipment in the current operating mode; when the equipment energy efficiency is equal to the threshold: maintain the current equipment operating status, but pay close attention to the changing trend of the equipment energy efficiency.

[0021] Preferably, the specific calculation formula in the formula calculation module is:

[0022] Environmentally safe formula:

[0023]

[0024] Where: D is the dust concentration monitored in real time, D l is the dust concentration warning value, D i Represents the dust concentration index. The dust concentration value on site is calculated by the formula and D i Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result;

[0025] Personnel safety formula:

[0026]

[0027] Where: P d Indicates the accuracy of helmet wearing detection; S h is the pixel area of ​​the helmet correctly identified, S p is the total pixel area of ​​the head region in the image, and P d Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result;

[0028] Equipment safety formula:

[0029]

[0030] Where: E e Represents the energy efficiency of the equipment, W o is the effective work output by the device, W i is the electrical energy consumed by the device, and E e Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures based on the comparison results.

[0031] Preferably, the architecture design scheduling module is connected to a backend management module, and the backend management module is used to receive data sent by the above-mentioned modules, perform data integration analysis, and monitor and manage the operating status of each module.

[0032] The method for using the smart construction site management system based on the Internet of Things includes the following steps:

[0033] S1. System initialization and architecture construction: The architecture design scheduling module designs the initial management architecture based on the construction site project information, clarifies the module relationship, data interaction and authority rules, and ensures scalability. At the same time, the project management module enters the preliminary planning data, including progress, resources, cost plan, project documents, and team information, to prepare for implementation;

[0034] S2. Data collection and transmission: The collection module uses sensors, cameras, and locators to collect personnel, equipment, and environmental information in real time to ensure that the data is accurate and timely. At the same time, the data is transmitted to the architecture design and scheduling module via the network to provide data support for subsequent analysis and decision-making;

[0035] S3. Project implementation management: The project management module tracks progress, allocates resources, controls costs, solves progress problems, and ensures project progress. At the same time, the personnel management module uses personnel location information to monitor trends and attendance, and the equipment management module schedules and maintains equipment according to equipment status;

[0036] S4. Scenario analysis and safety assurance: The scenario analysis module analyzes scenario risks based on environmental parameters, and the anomaly analysis module monitors safety conditions. If an anomaly occurs, calculation and analysis are initiated. The safety of the environment, personnel, and equipment is calculated and compared with the thresholds according to the corresponding formulas, and the corresponding safety plan is initiated.

[0037] S5. Data integration and system monitoring: The back-end management module integrates and analyzes the data of each module, generates reports and charts for management decision-making, and monitors the module status in real time, issues timely alarms in case of faults and abnormalities, and provides repair suggestions.

[0038] The present invention provides a smart construction site management system and method based on the Internet of Things, which has the following beneficial effects:

[0039] 1. The present invention is provided with a formula calculation module, which collects the dust values ​​on site, compares the collected dust data with the threshold, and adopts corresponding processing solutions to avoid the situation where the dust on the construction site is large and affects the working environment. Compared with the existing smart construction site management platform that ignores the on-site environment, this platform pays more attention to the environmental health of the construction site.

[0040] 2. The present invention also collects and calculates the situation of on-site construction workers wearing safety helmets, and takes corresponding measures according to the calculation results, such as broadcasting notifications, conducting education, etc. In this way, the safety of construction site workers is further protected.

[0041] 3. The present invention changes the limitations of the existing smart construction site management platform through the collaborative work of multiple modules. The architecture design scheduling module can flexibly adjust the management architecture, the project management module covers the full cycle management of the project, the acquisition module comprehensively collects information, and the personnel and equipment management module manages the corresponding resources in a refined manner. This allows each link from project planning to implementation to be accurately controlled, avoiding the problem of traditional management that loses sight of one thing while focusing on another, and achieving efficient management of the construction site in all aspects and throughout the entire process, making resource allocation more reasonable and progress control more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a system flow chart of the present invention;

[0043] Figure 2 The present invention is a flowchart of a method for using the system. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Example:

[0046] Please refer to the attached Figure 1 - Attachment Figure 2 , an embodiment of the present invention provides a smart construction site management system based on the Internet of Things, including an architecture design and scheduling module, the architecture design and scheduling module is used to design a corresponding management architecture, and adjust the corresponding management architecture according to the real-time situation of the construction site, so as to further improve the adaptability of the system;

[0047] The architecture design scheduling module is connected to a collection module, which collects various information data of the construction site through various devices, thereby providing a basis for subsequent judgment and management. The various information includes personnel location, equipment operation status, and environmental monitoring. The various devices include sensors, cameras, and locators;

[0048] The architecture design scheduling module is connected to a project management module, which is used to perform project management. The project management content specifically includes early project planning, mid-term project implementation and late project delivery;

[0049] The architecture design scheduling module is connected to a personnel management module, which uses the personnel location information collected by the collection module to understand the movements of the construction personnel and monitor and manage the construction personnel;

[0050] The architecture design scheduling module is connected to a device management module, which uses the device location information collected by the acquisition module to understand which devices are in use and which devices are temporarily placed, so as to build a device management architecture and perform scheduling control management of the devices;

[0051] The architecture design scheduling module is connected to a scenario analysis module, which collects various parameters of the on-site construction environment through a collection module. The various parameters include wind speed, temperature and dust concentration, which are used for scenario analysis to ensure the safety of on-site construction personnel.

[0052] The architecture design scheduling module is connected to an abnormality analysis module, which is used to monitor the environmental safety, personnel safety, and equipment safety of the construction site. The abnormality analysis module is connected to a formula calculation module, which is provided with a separate calculation formula, and substitutes the collected information into the formula for calculation, and transmits the calculation result to the threshold comparison module. The formula calculation module is connected to a threshold comparison module, in which the staff needs to preset a threshold value to facilitate the comparison of the formula calculation results, and start the corresponding implementation plan according to the comparison result. The threshold comparison module is connected to an implementation plan module, and the implementation plan module is provided with a plurality of different response measures, and the response measures include:

[0053] Environmental safety plan: When the dust concentration index is greater than the threshold: turn on all available spray dust reduction equipment, adjust the spray volume to the maximum, form a dense water mist curtain, quickly reduce the concentration of dust particles suspended in the air, and suspend all current construction activities that generate a lot of dust, including open-air sand and gravel crushing and concrete mixing; When the dust concentration index is less than the threshold: maintain the normal frequency of environmental monitoring, continue to pay attention to the trend of dust concentration changes, ensure that the dust concentration is always within a safe range, and regularly inspect and maintain the dust reduction equipment to ensure that it is in good standby condition at all times; When the dust concentration index is equal to the threshold: temporarily maintain the current construction status, but closely observe the dynamic changes of dust concentration, conduct a review every 30 minutes, and check the current construction process and equipment operating parameters to see if there are factors that may cause the dust concentration to increase, including whether the equipment sealing is reduced and whether the material conveying speed is too fast;

[0054] Personnel safety plan: When the accuracy of helmet wearing detection is greater than the threshold: praise and encourage the wearing of helmets at the construction site, and publicize the importance of correct helmet wearing and the current good wearing situation through the broadcasting system and bulletin boards; When the accuracy of helmet wearing detection is less than the threshold: the system automatically triggers an alarm, and sends a voice alarm through the broadcasting system of the construction site, prompting personnel who do not wear helmets correctly to make corrections immediately, and arranges safety managers to conduct on-site education for personnel who do not wear helmets correctly, explaining to them in detail the serious safety risks that may be caused by improper helmet wearing; When the accuracy of helmet wearing detection is equal to the threshold: maintain the current monitoring and management measures, and continue to pay attention to the wearing of helmets. Strengthen daily inspections of construction sites, randomly check the helmet wearing situation of some construction workers, and ensure that the accuracy of the detection system is consistent with the actual situation;

[0055] Equipment safety plan: When the equipment energy efficiency is greater than the threshold: immediately suspend the operation of the equipment, and perform maintenance and troubleshooting on the equipment that is greater than the threshold, find out the equipment failure in advance, and ensure the safety of construction; When the equipment energy efficiency is less than the threshold: record and analyze the equipment's operating status in detail, and summarize the reasons and experience for the low energy consumption of the equipment in the current operating mode; When the equipment energy efficiency is equal to the threshold: maintain the current equipment operation status, but pay close attention to the changing trend of the equipment energy efficiency;

[0056] The specific calculation formula in the formula calculation module is:

[0057] Environmentally safe formula:

[0058]

[0059] Where: D is the dust concentration monitored in real time, D l is the dust concentration warning value, D i Represents the dust concentration index. The dust concentration value on site is calculated by the formula and D i Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result;

[0060] Personnel safety formula:

[0061]

[0062] Where: P d Indicates the accuracy of helmet wearing detection; S h is the pixel area of ​​the helmet correctly identified, S p is the total pixel area of ​​the head region in the image, and P d Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result;

[0063] Equipment safety formula:

[0064]

[0065] Where: E e Represents the energy efficiency of the equipment, W o is the effective work output by the device, W i is the electrical energy consumed by the device, and E e Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result;

[0066] The architecture design scheduling module is connected to a backend management module, which is used to receive data sent by the above modules, perform data integration analysis, and monitor and manage the operating status of each module.

[0067] The method for using the smart construction site management system based on the Internet of Things includes the following steps:

[0068] S1. System initialization and architecture construction: The architecture design scheduling module designs the initial management architecture based on the construction site project information, clarifies the module relationship, data interaction and authority rules, and ensures scalability. At the same time, the project management module enters the preliminary planning data, including progress, resources, cost plan, project documents, and team information, to prepare for implementation;

[0069] S2. Data collection and transmission: The collection module uses sensors, cameras, and locators to collect personnel, equipment, and environmental information in real time to ensure that the data is accurate and timely. At the same time, the data is transmitted to the architecture design and scheduling module via the network to provide data support for subsequent analysis and decision-making;

[0070] S3. Project implementation management: The project management module tracks progress, allocates resources, controls costs, solves progress problems, and ensures project progress. At the same time, the personnel management module uses personnel location information to monitor trends and attendance, and the equipment management module schedules and maintains equipment according to equipment status;

[0071] S4. Scenario analysis and safety assurance: The scenario analysis module analyzes scenario risks based on environmental parameters, and the anomaly analysis module monitors safety conditions. If an anomaly occurs, calculation and analysis are initiated. The safety of the environment, personnel, and equipment is calculated and compared with the thresholds according to the corresponding formulas, and the corresponding safety plan is initiated.

[0072] S5. Data integration and system monitoring: The back-end management module integrates and analyzes the data of each module, generates reports and charts for management decision-making, and monitors the module status in real time. In case of faults or abnormalities, it promptly issues alarms and provides repair suggestions to ensure system stability.

[0073] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The smart construction site management system based on the Internet of Things is characterized by: It includes an architecture design scheduling module, which is used to design a corresponding management architecture and adjust the corresponding management architecture according to the real-time situation of the construction site; The architecture design scheduling module is connected to a collection module, which collects various information data of the construction site through various devices, thereby providing a basis for subsequent judgment and management. The architecture design scheduling module is connected to a project management module, which is used to perform project management. The architecture design scheduling module is connected to a personnel management module, and the personnel management module understands the movement of construction personnel through the personnel location information collected by the collection module; The architecture design scheduling module is connected to a device management module, and the device management module performs scheduling control management of the device based on the device location information collected by the collection module; The architecture design scheduling module is connected to a scenario analysis module, which collects various parameters of the on-site construction environment through a collection module for scenario analysis; The architecture design scheduling module is connected to an abnormality analysis module, which is used to monitor the environmental safety, personnel safety, and equipment safety of the construction site. The abnormality analysis module is connected to a formula calculation module, which is provided with a separate calculation formula, and substitutes the collected information into the formula for calculation, and transmits the calculation result to the threshold comparison module. The formula calculation module is connected to a threshold comparison module, in which the staff needs to preset a threshold value to facilitate the comparison of the formula calculation results, and start the corresponding implementation plan according to the comparison results. The threshold comparison module is connected to an implementation plan module, and the implementation plan module is provided with a plurality of different response measures.

2. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The various information in the acquisition module includes: personnel location, equipment operating status, and environmental monitoring. The various devices include sensors, cameras, and locators.

3. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The project management content in the project management module specifically includes project pre-planning, project mid-term implementation and project post-delivery.

4. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The parameters in the scene analysis module include wind speed, temperature and dust concentration.

5. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The countermeasures include: Environmental safety plan: When the dust concentration index is greater than the threshold: turn on all available spray dust reduction equipment, adjust the spray volume to the maximum, form a dense water mist curtain, quickly reduce the concentration of dust particles suspended in the air, and suspend all current construction activities that generate a lot of dust, including open-air sand and gravel crushing and concrete mixing; when the dust concentration index is less than the threshold: maintain a normal environmental monitoring frequency, continue to pay attention to the trend of dust concentration changes, ensure that the dust concentration is always within a safe range, and conduct regular inspections and maintenance of dust reduction equipment to ensure that it is in good standby condition at all times; when the dust concentration index is equal to the threshold: temporarily maintain the current construction status, but closely observe the dynamic changes in dust concentration, review every 30 minutes, and check the current construction process and equipment operating parameters to see if there are factors that may cause the dust concentration to increase, including whether the equipment sealing is reduced and whether the material conveying speed is too fast.

6. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The countermeasures also include: Personnel safety plan: When the accuracy of helmet wearing detection is greater than the threshold: praise and encourage the wearing of helmets at the construction site, and publicize the importance of correct wearing of helmets and the current good wearing situation through the broadcasting system and bulletin boards; When the accuracy of helmet wearing detection is less than the threshold: the system automatically triggers the alarm, and sends a voice alarm through the broadcasting system of the construction site, prompting personnel who do not wear helmets correctly to make corrections immediately, and arranges safety managers to conduct on-site education for personnel who do not wear helmets correctly, and explain to them in detail the serious safety risks that may be caused by improper wearing of helmets; When the accuracy of helmet wearing detection is equal to the threshold: maintain the current monitoring and management measures, continue to pay attention to the wearing of helmets, strengthen daily inspections of construction sites, randomly check the helmet wearing of some construction personnel, and ensure that the accuracy of the detection system is consistent with the actual situation.

7. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The countermeasures also include: Equipment safety plan: When the equipment energy efficiency is greater than the threshold: immediately suspend the operation of the equipment, and perform maintenance and troubleshooting on the equipment that is greater than the threshold, find out the equipment failure problems in advance, and ensure the safety of construction; when the equipment energy efficiency is less than the threshold: record and analyze the equipment's operating status in detail, and summarize the reasons and experience for the low energy consumption of the equipment in the current operating mode; when the equipment energy efficiency is equal to the threshold: maintain the current equipment operating status, but pay close attention to the changing trend of the equipment energy efficiency.

8. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The specific calculation formula in the formula calculation module is: Environmentally safe formula: Where: D is the dust concentration monitored in real time, D l is the dust concentration warning value, D i Represents the dust concentration index. The dust concentration value on site is calculated by the formula and D i Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result; Personnel safety formula: Where: P d Indicates the accuracy of helmet wearing detection; S h is the pixel area of ​​the helmet correctly identified, S p is the total pixel area of ​​the head region in the image, and P d Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures according to the comparison result; Equipment safety formula: Where: E e Represents the energy efficiency of the equipment, W o is the effective work output by the device, W i is the electrical energy consumed by the device, and E e Substitute it into the threshold comparison module for comparison with the threshold, and take corresponding processing measures based on the comparison results.

9. The smart construction site management system based on the Internet of Things according to claim 1 is characterized in that: The architecture design scheduling module is connected to a backend management module, which is used to receive data sent by the above modules, perform data integration analysis, and monitor and manage the operating status of each module.

10. The method for using the smart construction site management system based on the Internet of Things according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1. System initialization and architecture construction: The architecture design scheduling module designs the initial management architecture based on the construction site project information, clarifies the module relationship, data interaction and authority rules, and ensures scalability. At the same time, the project management module enters the preliminary planning data, including progress, resources, cost plan, project documents, and team information, to prepare for implementation; S2. Data collection and transmission: The collection module uses sensors, cameras, and locators to collect personnel, equipment, and environmental information in real time to ensure that the data is accurate and timely. At the same time, the data is transmitted to the architecture design and scheduling module via the network to provide data support for subsequent analysis and decision-making; S3. Project implementation management: The project management module tracks progress, allocates resources, controls costs, solves progress problems, and ensures project progress. At the same time, the personnel management module uses personnel location information to monitor trends and attendance, and the equipment management module schedules and maintains equipment according to equipment status; S4. Scenario analysis and safety assurance: The scenario analysis module analyzes scenario risks based on environmental parameters, and the anomaly analysis module monitors safety conditions. If an anomaly occurs, calculation and analysis are initiated. The safety of the environment, personnel, and equipment is calculated and compared with the thresholds according to the corresponding formulas, and the corresponding safety plan is initiated. S5. Data integration and system monitoring: The back-end management module integrates and analyzes the data of each module, generates reports and charts for management decision-making, and monitors the module status in real time, issues timely alarms in case of faults and abnormalities, and provides repair suggestions.

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