Intelligent construction site management system

Abstract

The invention discloses an intelligent construction site management system, and relates to the technical field of intelligent construction sites, and the system comprises a data center which is used for collecting and storing big data and the data information of each subsystem, a supervision center which is used for carrying out the real-time supervision of the data information of each subsystem, and a user side which is used for remotely checking the data information collected and stored by the data center. The personnel management subsystem is used for collecting and managing identity information and attendance information of construction personnel, the equipment management subsystem is used for recognizing basic information and position information of construction site equipment, the safety monitoring subsystem is used for monitoring the current state of the construction personnel, and the video monitoring subsystem is used for collecting and recognizing image data of a construction site. Whether dangerous behaviors occur in the construction site or not is monitored in real time through the cameras, warning is conducted based on the danger degree, a user can conveniently and rapidly arrive at the behavior occurrence place, and when the danger degree is high, the user can conveniently and rapidly evacuate equipment and personnel, and losses are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction sites, and in particular to a smart construction site management system. Background Art

[0002] As an intelligent and digital construction project management method, smart construction site is a unified information platform built with Internet of Things technology as the core, integrating cloud computing, big data, artificial intelligence, BIM and other technical means to realize intelligent management of the entire construction site. In the existing technology, in addition to construction personnel, the construction site also stores a large amount of construction materials and equipment. In order to ensure the safety of materials and personnel, security personnel and supervisors are often arranged to be on duty to guard. However, this method has high labor costs, and security personnel and supervisors cannot supervise construction personnel 24 hours a day. There may be a risk of safety accidents and material loss due to negligence of personnel, which has certain safety hazards.

[0003] Based on this, a smart construction site management system is now provided to eliminate the drawbacks of existing technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide a smart construction site management system to solve the problems of safety accidents, risks of material loss and certain safety hazards existing in construction sites in the background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A smart construction site management system, including a data center, for collecting and storing big data and data information of each subsystem; The supervision center is used to monitor the data information of each subsystem in real time and realize information sharing with the data center to facilitate the timely release of construction site information and notices; The user end is used to remotely view the data information collected and stored in the data center; The personnel management subsystem is used to collect and manage the identity information and attendance information of construction personnel, and match irregular construction behaviors with construction personnel based on the above information characteristics; Equipment management subsystem, used to identify basic information and location information of construction site equipment; Safety monitoring subsystem, used to monitor the current status of construction workers; The video surveillance subsystem is used to collect and identify image data of the construction site and warn of dangerous behaviors based on the identification features of the above image data; The supervision center includes a controller and an execution terminal. The controller is used to receive and output information results of each subsystem and data center, control equipment, personnel, and construction environment information and output coordination instructions. The execution terminal is used to receive coordination instructions from the controller and publish information according to the instructions.

[0006] Preferably, the personnel management subsystem includes an information registration device and a personnel information processor, and the personnel information processor includes: A face recognition module, used to identify and collect personal identity information of people; An information comparison module is used to transmit the identified personal identity information to the data center and perform identity comparison; Attendance module, used to collect and integrate attendance information of construction personnel; The face recognition module, the information comparison module, and the attendance module are electrically connected, and the personnel information processor also includes a result display module for identifying personnel information features and displaying information data based on the above identification features.

[0007] Preferably, the equipment management subsystem includes a plurality of construction equipment and equipment processors, and the equipment processor includes: The equipment positioning module is used to collect basic equipment information of each construction equipment in the construction site and automatically update the equipment location in real time based on the above information characteristics; The status monitoring module is used to monitor the usage of each construction equipment.

[0008] Preferably, the safety monitoring subsystem includes several safety helmets and safety processors, the safety helmets are used to reduce the probability of safety accidents, and the safety processor includes: A sensor module, used to determine whether the safety helmet is being worn; The safety helmet positioning module is used to collect the location information of the construction workers at the construction site. One side of the safety helmet positioning module is also provided with a diagnostic component for judging whether the safety helmet is worn correctly.

[0009] Preferably, the video monitoring subsystem includes a plurality of cameras and a monitoring processor, wherein the cameras are used to collect image data of the on-site construction environment, wherein the image data includes the behavior of construction personnel, on-site environmental data, and the status of construction equipment, and the monitoring processor includes: A dangerous behavior recognition module is used to obtain monitoring images of several cameras, and analyze the people, objects, behaviors and environment in the images by image recognition to determine whether they meet the requirements. A classification module is also provided on one side of the dangerous behavior recognition module to identify dangerous behaviors and classify dangerous behaviors based on the above-mentioned recognition features to obtain classification results. The classification results are used to indicate whether to issue an alarm instruction for the dangerous behavior. The classification module is electrically connected to the alarm device; A feature extraction module is used to extract information features related to dangerous behaviors, wherein the information features include facial features of construction workers, construction status of construction equipment, and location information of nearby safety helmets; The fusion module is used to fuse the above information features with the corresponding data information in the data center and the supervision center to obtain fusion features.

[0010] Preferably, the data center includes an irregular construction behavior library, and the irregular construction behavior library is used to cooperate with the dangerous behavior identification module to determine whether the construction behavior is standardized.

[0011] Preferably, the personnel information processor further comprises a pairing module cooperating with the safety monitoring subsystem, and the pairing module is used to pair the construction personnel information with one of the safety helmet information.

[0012] Preferably, the diagnostic component includes an electrically connected diagnostic module and an indicator light, wherein the diagnostic module is used to identify the wearing condition of the safety helmet and to prompt the construction worker whether the safety helmet is worn correctly by checking whether the indicator light emits a bright light.

[0013] Preferably, a method for using the smart construction site management system is also included, and the specific steps of use are as follows: S1. Enter the information of construction personnel and perform attendance check operation through the personnel management subsystem. The face recognition module determines whether the identified user is a construction personnel on the construction site. The identity information of the construction personnel is determined through the information comparison module. If the user is a construction personnel, the attendance check operation is performed through the attendance module. The above construction personnel information is then bound and paired with one of the safety helmet information. If the user is not a construction personnel, the identity information is registered through the information registration device and the temporary qualification to enter the construction site is obtained. S2. The safety monitoring subsystem enables construction workers to wear safety helmets correctly. The sensor module determines whether there are construction workers wearing safety helmets. After wearing, the diagnostic component is activated. The diagnostic module identifies the wearing status and emits a light through the indicator light. The safety helmet positioning module obtains the location information of the construction workers in real time and transmits the above location information to the supervision center. S3. Check the positioning information and self-checking status of the equipment in real time through the equipment management subsystem. The equipment positioning module obtains the location information of the construction equipment in real time and transmits the above location information to the supervision center; S4. The construction site environment is monitored and collected in real time through the video monitoring subsystem. When the dangerous behavior recognition module identifies dangerous behavior, an alarm instruction is issued according to its danger level.

[0014] Preferably, step S4 comprises: S41, the camera collects image data of the on-site construction environment, and the dangerous behavior recognition module performs image recognition on the monitoring screen of the image data, analyzes the people, objects, behaviors and environment in the picture, and determines whether it meets the construction requirements of the irregular construction behavior library; S42, the feature extraction module extracts information features around the irregular behavior and transmits the above information to the fusion module; S43, the fusion module integrates the above information features with the big data information in the data center to obtain the location, time, danger level and related on-site personnel and equipment data of the dangerous behavior in a timely manner.

[0015] Compared with the prior art, the present invention has the following beneficial effects: In the present invention, through the mutual cooperation between the data center, the supervision center and each subsystem, the equipment, personnel and safety helmets of the construction site are managed, the identity of the personnel entering the construction site is registered to prevent outsiders from entering by mistake, and a number of cameras are used to monitor in real time whether dangerous behaviors occur on the construction site, and warnings are issued based on the degree of danger, so that users can quickly rush to the location where the behavior occurs, and by locating the construction equipment and safety helmets, property loss can be avoided. When the degree of danger is high, it is convenient to quickly evacuate equipment and personnel to reduce losses, and it is convenient to quickly understand the cause and process of the danger, which is convenient for subsequent analysis, improve the efficiency and quality of construction site management, and ensure the continuity and efficiency of the smart construction site management process. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the present invention.

[0017] Figure 2 It is a schematic diagram of the supervision center of the present invention.

[0018] Figure 3 It is an overall schematic diagram of the present invention.

[0019] Figure 4 It is a schematic diagram of the personnel management subsystem of the present invention.

[0020] Figure 5 It is a schematic diagram of the device management subsystem of the present invention.

[0021] Figure 6 It is a schematic diagram of the safety monitoring subsystem of the present invention.

[0022] Figure 7Schematic diagram of the video monitoring subsystem of the present invention.

[0023] Figure 8 The figure is a schematic diagram of the method for using the present invention.

[0024] Fig. 9 For the present invention Figure 8 Schematic diagram of the process of step S4 in .

[0025] Notes on figure numbers: data center 100, supervision center 200, controller 210, execution terminal 220, user terminal 300, personnel management subsystem 400, information registration device 410, personnel information processor 420, face recognition module 421, information comparison module 422, attendance module 423, result display module 424, pairing module 425, equipment management subsystem 500, construction equipment 510, equipment processor 520, equipment positioning module 521, status monitoring module 522, safety monitoring subsystem 600, safety helmet 610, safety processor 620, sensor module 621, safety helmet positioning module 622, diagnosis module 623, indicator light 624, video monitoring subsystem 700, camera 710, monitoring processor 720, dangerous behavior recognition module 721, feature extraction module 722, fusion module 723. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0027] In this embodiment, if Figure 1-Figure 9 As shown, a smart construction site management system includes a data center 100, which is used to collect and store big data and data information of each subsystem, and a high-performance, scalable relational database (such as PostgreSQL or MySQL) is used in combination with a non-relational database (such as MongoDB) to meet the needs of structured data storage such as irregular construction behaviors, including but not limited to construction personnel information, equipment operation status, safety monitoring data and video surveillance data; The supervision center 200 is used to monitor the data information of each subsystem in real time and realize information sharing with the data center 100, so as to facilitate the timely release of construction site information and notices. The supervision center 200 and the data center 300 maintain seamless connection, realize information sharing and collaborative work, ensure that any important information or emergency events can be quickly transmitted to relevant departments and personnel, and improve the response speed and efficiency of construction site management; The user terminal 300 is used to remotely view the data information collected and stored by the data center 100. The user terminal 300 aims at ease of use and real-time performance, and supports multi-platform access such as PC and mobile devices, so that project managers and regulatory agencies can remotely and conveniently view various data information; The personnel management subsystem 400 is used to collect and manage the identity information and attendance information of the construction personnel, and match the irregular construction behaviors with the construction personnel based on the above information characteristics, and use advanced technologies such as RFID and face recognition to accurately collect the identity information of the construction personnel to promote standardized management of the construction site; The equipment management subsystem 500 is used to identify the basic information and location information of the construction site equipment, and use the Internet of Things technology to track and monitor the basic information and location of the construction site equipment in real time. It automatically obtains the operating status, maintenance requirements, and location changes of the equipment through smart tags or sensors, which facilitates efficient scheduling and maintenance; The safety monitoring subsystem 600 is used to monitor the current status of the construction personnel and ensure that the safety helmet 610 is worn correctly; The video monitoring subsystem 700 is used to collect and identify image data of the construction site, and warn of dangerous behaviors based on the recognition features of the above image data. It uses high-definition cameras and intelligent image recognition technology to collect image data of the construction site around the clock, automatically identify illegal behaviors such as not wearing a safety helmet 610, working beyond the boundary, etc., and immediately issue a warning; The supervision center 200 includes a controller 210 and an execution terminal 220. The controller 210 is used to receive and output information results from each subsystem and the data center 100, control the equipment, personnel, and construction environment information, and output coordination instructions. The information results include but are not limited to the real-time status of construction personnel, equipment operation data, safety monitoring alarm signals, video surveillance image data, etc. The controller 210 can analyze data in real time and identify potential risks and problems. The execution terminal 220 is used to receive coordination instructions from the controller 210 and publish information in accordance with the instructions. The publishing channels include but are not limited to large screens on the construction site, mobile device push, voice broadcast systems, etc., which can quickly and accurately convey relevant information to designated recipients.

[0028] Among them Figure 1-Figure 4 As shown, the personnel management subsystem 400 includes an information registration device 410 and a personnel information processor 420, and the personnel information processor 420 includes: The face recognition module 421 is used to identify and collect personal identity information of personnel. It uses advanced biometric recognition technology to extract and identify the facial features of construction personnel to quickly and accurately obtain their personal identity information. This module can be automatically started when construction personnel enter the construction site and can complete the identity verification process without human intervention, effectively preventing the occurrence of illegal acts such as impersonation and identity forgery; The information comparison module 422 is used to transmit the identified personal identity information to the data center 100 and perform identity comparison, and use the data center 100 to perform a comprehensive comparison and analysis of the identity information, including but not limited to key information such as name, ID number, and position, so as to identify the real identity of the construction personnel and provide strong support for subsequent construction management and decision-making; The attendance module 423 is used to collect and integrate the attendance information of construction personnel, upload the attendance data to the supervision center 200, and generate attendance records online, so that managers can view the project attendance records on the user terminal 300, which may include the name of the construction worker, attendance time, on-site photos, equipment number and other information; The face recognition module 421, the information comparison module 422, and the attendance module 423 are electrically connected, and the personnel information processor 420 also includes a result display module 424 for identifying personnel information features and displaying information data based on the above identification features, so as to facilitate intuitive understanding of the above data information.

[0029] Among them Figure 3 and Figure 5 As shown, the equipment management subsystem 500 includes a number of construction equipment 510 and an equipment processor 520. The construction equipment 510 includes but is not limited to cranes, excavators, loaders, mixers, etc. The equipment processor 520 includes: The equipment positioning module 521 is used to collect basic equipment information of each construction equipment 510 in the construction site and automatically update the equipment location in real time based on the above information characteristics, and use GPS, RFID, Bluetooth or other wireless positioning technologies to collect basic equipment information such as equipment number, model, specifications, etc. of each construction equipment 510 in the construction site in real time; The status monitoring module 522 is used to monitor the usage of each construction equipment 510, including but not limited to the working status, operating parameters and energy consumption of the equipment, so as to facilitate timely detection of potential faults or abnormal behaviors.

[0030] Among them Figure 3 and Figure 6 As shown, the safety monitoring subsystem 600 includes several helmets 610 and a safety processor 620. The helmet 610 is used to reduce the probability of safety accidents. It is made of lightweight and impact-resistant materials and has multiple sensors and communication modules integrated inside. The safety processor 620 includes: The sensor module 621 is used to determine whether the helmet 610 is in a worn state, communicate with the sensor in the helmet 610 through a wireless connection, and determine in real time whether the helmet 610 is in a worn state. The sensor may include a pressure sensor, an acceleration sensor, etc., which can sense the contact between the helmet 610 and the head, the activity status of the wearer, and other information; The safety helmet positioning module 622 is used to collect the location information of construction workers at the construction site. It uses GPS, base station positioning and other technologies to collect the location information of construction workers wearing safety helmets 610 in real time. One side of the safety helmet positioning module 622 is also provided with a diagnostic component for determining whether the safety helmet 610 is worn correctly, so as to facilitate timely correction.

[0031] Among them Figure 3 and Figure 7 As shown, the video monitoring subsystem 700 includes a plurality of cameras 710 and a monitoring processor 720. The cameras 710 are used to collect image data of the on-site construction environment, and the image data includes the behavior of construction personnel, on-site environmental data, and the status of the construction equipment 510. The monitoring processor 720 includes: The dangerous behavior recognition module 721 is used to obtain the monitoring images of several cameras 710, and analyze the people, objects, behaviors and environment in the pictures by image recognition to determine whether they meet the requirements. It mainly uses advanced computer vision and artificial intelligence algorithms to quickly identify the behaviors of construction workers such as not wearing safety helmets, not wearing safety belts, illegal operations, etc. and the on-site environment such as fire, material collapse, etc., and promptly issue warning signals to remind management personnel to intervene. A classification module 724 is also provided on one side of the dangerous behavior recognition module 721 for identifying dangerous behaviors and classifying dangerous behaviors based on the above-mentioned identification features to obtain classification results. The classification results are used to indicate whether to issue an alarm instruction for the dangerous behavior. The classification module 724 is electrically connected to the alarm device 725, and the classification results can be adjusted according to the on-site conditions; The feature extraction module 722 is used to extract information features related to dangerous behaviors, including facial features of construction workers, construction status of construction equipment 510, and location information of nearby safety helmets 610, and to pre-process the collected raw data, such as denoising, filtering, format conversion, etc., to ensure the accuracy and availability of the data; The fusion module 723 is used to fuse the above information features with the corresponding data information in the data center 100 and the supervision center 200 to obtain fusion features, which is convenient for finding the cause of the dangerous behavior and carrying out subsequent processing and punishment.

[0032] Among them Figure 2 and Figure 3As shown, the data center 100 includes a library of irregular construction behaviors, which is used to cooperate with the dangerous behavior identification module 721 to determine whether the construction behavior is standardized. The irregular behaviors in the library are consistent with the irregular behaviors stipulated in the construction regulations on the market, including random stacking of equipment and materials, not wearing safety helmets or protective clothing, throwing objects from high places, smoking in places where smoking is prohibited, etc.

[0033] Among them Figure 4 As shown, the personnel information processor 420 also includes a pairing module 425 that cooperates with the safety monitoring subsystem 600. The pairing module 425 is used to pair the construction personnel information with the information of one of the safety helmets 610, so as to facilitate finding the location of the construction personnel through the safety helmet 610, and facilitate transaction docking, construction status adjustment, etc.

[0034] Among them Figure 6 As shown, the diagnostic component includes an electrically connected diagnostic module 623 and an indicator light 624. The diagnostic module 623 is used to identify the wearing status of the safety helmet 610, and prompt the construction personnel whether the safety helmet 610 is worn correctly by whether the indicator light 624 emits a light. Image processing technology, infrared sensing and other methods are used to analyze whether the strap is fastened and whether the hat completely covers the head. Through the diagnostic module 623, the wearing of the safety helmet 610 can be adjusted to avoid the situation where the safety helmet 610 is not worn properly, thereby reducing the probability of safety accidents.

[0035] Among them Figure 8 As shown, it also includes a method for using the smart construction site management system. The specific steps of use are as follows: S1. The construction personnel information is input and attendance is performed through the personnel management subsystem 400. The face recognition module 421 determines whether the recognized user is a construction personnel on the construction site. The identity information of the construction personnel is determined through the information comparison module 422. If the user is a construction personnel, the attendance operation is performed through the attendance module 423. The above construction personnel information is then bound and paired with the information of one of the safety helmets 610. If the user is not a construction personnel, the identity information is registered through the information registration device 410 and the temporary qualification to enter the construction site is obtained. S2. The safety monitoring subsystem 600 enables the construction workers to correctly wear the safety helmet 610. The sensor module 621 determines whether there are construction workers wearing the safety helmet 610. After wearing the safety helmet, the diagnostic component is activated. The diagnostic module 623 identifies the wearing status and emits a light through the indicator light 624. The safety helmet positioning module 622 obtains the location information of the construction workers in real time and transmits the above location information to the supervision center 200. S3. Check the positioning information and self-checking status of the equipment in real time through the equipment management subsystem 500. The equipment positioning module 521 obtains the position information of the construction equipment 510 in real time and transmits the position information to the supervision center 200. S4. The construction site environment is monitored and collected in real time through the video monitoring subsystem 700. When the dangerous behavior recognition module 721 recognizes dangerous behavior, an alarm instruction is issued according to its danger level.

[0036] Among them Fig. 9 As shown, step S4 includes: S41, the camera 710 collects image data of the on-site construction environment, and the dangerous behavior recognition module 721 performs image recognition on the monitoring screen of the image data, analyzes the people, objects, behaviors and environment in the picture, and determines whether it meets the construction requirements of the irregular construction behavior library; S42, the feature extraction module 722 extracts information features around the irregular behavior and transmits the above information to the fusion module 723; S43, the fusion module 723 fuses the above information features with the big data information in the data center 100 to timely obtain the location, time, danger level and related on-site personnel and equipment data of the dangerous behavior.

[0037] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A smart construction site management system, characterized in that: include: A data center (100), used for collecting and storing big data and data information of each subsystem; A supervision center (200) is used to monitor the data information of each subsystem in real time and realize information sharing with the data center (100) to facilitate the timely release of construction site information and notices; A user terminal (300) is used to remotely view data information collected and stored by the data center (100); The personnel management subsystem (400) is used to collect and manage the identity information and attendance information of the construction personnel, and match the irregular construction behaviors with the construction personnel based on the above information characteristics; The equipment management subsystem (500) is used to identify basic information and location information of construction site equipment; A safety monitoring subsystem (600) is used to monitor the current status of construction personnel; A video monitoring subsystem (700) is used to collect and identify image data of the construction site, and to warn of dangerous behaviors based on the identification features of the image data; The supervision center (200) comprises a controller (210) and an execution terminal (220), wherein the controller (210) is used to receive and output information results of each subsystem and the data center (100), control equipment, personnel, and construction environment information, and output coordination instructions, and the execution terminal (220) is used to receive coordination instructions from the controller (210) and publish information according to the instructions.

2. The smart construction site management system according to claim 1, characterized in that: The personnel management subsystem (400) comprises an information registration device (410) and a personnel information processor (420), wherein the personnel information processor (420) comprises: A face recognition module (421), used to identify and collect personal identity information of a person; An information comparison module (422) is used to transmit the identified personal identity information to the data center (100) and perform identity comparison; Attendance module (423), used to collect and integrate attendance information of construction personnel; The face recognition module (421), the information comparison module (422), and the attendance module (423) are electrically connected to each other, and the personnel information processor (420) further comprises a result display module (424) for identifying personnel information features and displaying information data based on the above-mentioned identification features.

3. The smart construction site management system according to claim 1, characterized in that: The equipment management subsystem (500) comprises a plurality of construction equipment (510) and an equipment processor (520), wherein the equipment processor (520) comprises: An equipment positioning module (521) is used to collect basic equipment information of each construction equipment (510) in the construction site and automatically update the equipment position in real time based on the above information characteristics; The status monitoring module (522) is used to monitor the usage of each construction equipment (510).

4. The smart construction site management system according to claim 1, characterized in that: The safety monitoring subsystem (600) comprises a plurality of safety helmets (610) and a safety processor (620). The safety helmets (610) are used to reduce the probability of occurrence of safety accidents. The safety processor (620) comprises: A sensor module (621) is used to determine whether the safety helmet (610) is in a worn state; The safety helmet positioning module (622) is used to collect location information of construction workers at the construction site. One side of the safety helmet positioning module (622) is also provided with a diagnosis component for determining whether the safety helmet (610) is worn correctly.

5. The smart construction site management system according to claim 1, characterized in that: The video monitoring subsystem (700) includes a plurality of cameras (710) and a monitoring processor (720). The cameras (710) are used to collect image data of the on-site construction environment. The image data includes the behavior of construction personnel, on-site environmental data, and the status of construction equipment (510). The monitoring processor (720) includes: A dangerous behavior recognition module (721) is used to obtain monitoring images of a plurality of cameras (710), and analyze the people, objects, behaviors and environment in the images by means of image recognition to determine whether they meet the requirements. A classification module (724) is also provided on one side of the dangerous behavior recognition module (721) to recognize dangerous behaviors and classify the dangerous behaviors based on the above-mentioned recognition characteristics to obtain a classification result. The classification result is used to indicate whether to issue an alarm instruction for the dangerous behavior. The classification module (724) is electrically connected to the alarm device (725); A feature extraction module (722) is used to extract information features related to dangerous behaviors, wherein the information features include facial features of construction workers, construction status of construction equipment (510), and location information of nearby safety helmets (610); The fusion module (723) is used to fuse the above-mentioned information features with the corresponding data information in the data center (100) and the supervision center (200) to obtain fused features.

6. The intelligent construction site management system according to claim 1, characterized in that: The data center (100) comprises an irregular construction behavior library, and the irregular construction behavior library is used to cooperate with the dangerous behavior identification module (721) to determine whether the construction behavior is regular.

7. The intelligent construction site management system according to claim 2, characterized in that: The personnel information processor (420) further comprises a pairing module (425) that cooperates with the safety monitoring subsystem (600), wherein the pairing module (425) is used to pair the construction personnel information with the information of one of the safety helmets (610).

8. The intelligent construction site management system according to claim 4, characterized in that: The diagnostic component comprises an electrically connected diagnostic module (623) and an indicator light (624); the diagnostic module (623) is used to identify the wearing condition of the safety helmet (610) and to prompt the construction worker whether the safety helmet (610) is correctly worn by checking whether the indicator light (624) emits a bright light.

9. The intelligent construction site management system according to claim 1, characterized in that: It also includes a method for using the smart construction site management system. The specific steps are as follows: S1. Entering information of construction personnel and performing attendance check operation through the personnel management subsystem (400), the face recognition module (421) determines whether the recognized user is a construction personnel on the construction site, and determines the identity information of the construction personnel through the information comparison module (422). If the user is a construction personnel, the attendance check operation is performed through the attendance check module (423), and the construction personnel information is then bound and paired with the information of one of the safety helmets (610). If the user is not a construction personnel, the user registers his / her identity information through the information registration device (410) and obtains temporary qualification to enter the construction site; S2, using the safety monitoring subsystem (600) to ensure that the construction workers wear the safety helmet (610) correctly, the sensor module (621) determines whether there are construction workers wearing the safety helmet (610), and after wearing the safety helmet, the diagnostic component is activated, the diagnostic module (623) identifies the wearing status and emits a bright light through the indicator light (624), and the safety helmet positioning module (622) obtains the location information of the construction workers in real time and transmits the location information to the supervision center (200); S3, checking the positioning information and self-checking status of the equipment in real time through the equipment management subsystem (500), the equipment positioning module (521) obtains the position information of the construction equipment (510) in real time and transmits the position information to the supervision center (200); S4. The construction site environment is monitored and collected in real time through the video monitoring subsystem (700). When the dangerous behavior recognition module (721) recognizes a dangerous behavior, an alarm instruction is issued according to its danger level.

10. The method for using the smart construction site management system according to claim 9, characterized in that: The step S4 comprises: S41, the camera (710) collects image data of the on-site construction environment, and the dangerous behavior recognition module (721) performs image recognition on the monitoring screen of the image data, analyzes the people, objects, behaviors and environment in the image, and determines whether it meets the construction requirements of the irregular construction behavior library; S42, the feature extraction module (722) extracts information features around the irregular behavior and transmits the above information to the fusion module (723); S43, the fusion module (723) fuses the above information features with the big data information in the data center (100), and timely obtains the location, time, danger level and related on-site personnel and equipment data of the dangerous behavior.

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