Construction site safety management method based on AI identification system

Abstract

The invention relates to the technical field of industrial project construction site safety management, in particular to a construction site safety management method based on an AI recognition system, which comprises the following steps: S1, installing an intelligent AI box and a site monitoring system: installing an intelligent AI system at a construction site headquarter, configuring a display screen and a server host, and establishing a digital management and control center; s2, establishing a deep foundation pit support deformation monitoring system; s3, a high formwork monitoring system is established for the high and large formwork; s4, establishing a special equipment monitoring system for monitoring the unloading platform; and S5, establishing an edge protection monitoring system. According to the invention, all-time monitoring management can be carried out on potential safety hazards existing in different scenes of the construction site, and the management cost is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of construction site safety management for industrial projects, and in particular to a construction site safety management method based on an AI recognition system. Background Art

[0002] In the high-risk construction industry, safety accidents occur frequently and the casualty rate remains high. As the concept of "life first, safety first" has been deeply rooted in people's hearts, construction safety management has been elevated to an unprecedented level. At this stage, the problems with construction project safety are not only limited by the level of productivity development, but also the large number of practitioners and their low quality are also the main constraints. Therefore, strict safety management is the key to ensuring the safety of workers and reducing the occurrence of safety accidents. The current construction site safety management methods do not adequately supervise the safety hazards in different scenes of the construction site, resulting in large safety hazards and high management costs. Summary of the invention

[0003] The embodiment of the present invention provides a construction site safety management method based on an AI recognition system, which is capable of monitoring and managing safety hazards existing in different scenes at the construction site at all times, greatly reducing the management cost.

[0004] A construction site safety management method based on an AI recognition system of the present invention adopts the following technical solutions: S1. Install the smart AI box and on-site monitoring system: Install the smart AI system at the construction site command center and configure the display screen and server host to establish a digital control center; Install a camera monitoring system at the gate of the construction site attendance channel and implant artificial intelligence technology with recognition function; When workers enter the construction site, the intelligent AI system automatically detects their information and whether they are wearing helmets and reflective vests. If workers are found entering the site without helmets, the system will immediately send an alarm, and the alarm signal will be pushed to the management control platform simultaneously. At the same time, a safety hazard ledger will be generated and saved in the database. S2. Establish a deep foundation pit support deformation monitoring system. The command center buries earth pressure boxes, anchor stress gauges and pore water pressure gauges in the deep foundation pit to monitor the stability of adjacent buildings and ancillary facilities in real time during the foundation pit excavation stage, support construction stage, underground building construction stage and after completion. It is responsible for collecting, reviewing, summarizing, collating, analyzing and transmitting on-site monitoring data, and alarming for over-alert data, providing reliable data support for design and construction; S3. Establish a high-support formwork monitoring system for tall formwork: The command center uses sensors installed on the top of the formwork support to monitor the pressure on the steel pipes of the formwork support, the vertical displacement and inclination of the frame in real time, and sends the sensor data of each supporting steel pipe column head to the equipment signal receiving and analysis terminal through the wireless communication template. The data receiving terminal analyzes the data after receiving it, and calculates the safety of the data while transmitting the data to the remote monitoring system; the dangerous state is transmitted through sound and light alarms and real-time communication to the platform; S4. Establish a special equipment monitoring system for unloading platform monitoring: Based on the original unloading platform, the innovative design is based on embedded control technology, Bluetooth communication technology, LOAR wireless transmission technology, combined with the application environment of the construction site, and the industrial-grade ARM processor is used to achieve real-time monitoring of overload and over-limit problems caused by irregular stacking on the unloading platform at the construction site. When overload occurs, an alarm is issued to remind operators to operate in a standardized manner, prevent dangerous accidents, and provide employees with a safer construction environment; S5: Establish an edge protection monitoring system: The command center sets up an intelligent monitoring alarm device at the edge of the cave entrance. The device has sensitive sensing performance and can promptly warn operators that they are close to the danger zone, warning operators to pay attention to safety or leave in time.

[0005] Compared with the prior art, the present invention has the following technical effects: The safety management method of the present invention improves the efficiency of safety management and can monitor and manage the safety hazards existing in different scenes of the construction site at all times, greatly reducing the management cost. It can effectively conduct penetrating and full-coverage safety management and control of laborers at the construction site and conduct full-time monitoring and emergency response to safety hazards existing in different scenes such as foundation pit collapse and falling objects at the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] The drawings described herein are used to provide a further understanding of the present invention, constitute a part of the present invention, and do not constitute a limitation of the present invention. In the drawings: Figure 1 It is a schematic diagram of the flow of the construction site safety management system in the present invention. DETAILED DESCRIPTION

[0007] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0008] A construction site safety management system based on an AI recognition system includes an intelligent monitoring system and a real-time monitoring and alarm system. The intelligent monitoring system detects safety hazards by adding artificial intelligence (AI) technology to the existing video surveillance at the real-name gate of the construction site. Once discovered, an alarm can be immediately issued (a loudspeaker installed on site can also realize voice alarm; loudspeakers installed in security booths and command centers can also provide voice alarm reminders). The alarm signal is simultaneously pushed to the management personnel; at the same time, a record of captured photos is formed and saved in the system background database, and the management personnel can shout to them through broadcasting to remind them.

[0009] The real-time monitoring and alarm system installs sensors and cameras at safety railings around deep foundation pits, large equipment and other places where there are safety hazards. The smart construction site can monitor the status of the construction site in real time and issue an immediate warning if any abnormality is detected.

[0010] A construction site safety management method based on an AI recognition system comprises the following steps: Step 1. Install the smart AI box + on-site monitoring system: Install the smart AI system at the construction site command center and configure supporting facilities such as display screens, server hosts, switches, clients, and alarm equipment to establish a digital control center. Install a camera monitoring system at the gate of the attendance channel at the construction site, and implant artificial intelligence technology with recognition functions. When the workers enter the construction site, the smart AI system automatically detects the personnel information and the wearing of safety helmets and reflective vests; if any workers are found entering the site without wearing safety helmets, the system will immediately alarm, and the alarm signal will be simultaneously pushed to the management personnel control platform; at the same time, a safety hazard ledger will be formed and saved in the database.

[0011] Step 2. Establish a deep foundation pit support deformation monitoring system: The command center buries soil pressure boxes, anchor stress gauges, pore water pressure gauges and other intelligent sensing equipment in the deep foundation pit to monitor the stability of adjacent buildings and ancillary facilities in real time during the foundation pit excavation stage, support construction stage, underground building construction stage and after completion. It is responsible for the collection, review, summary, organization, analysis and data transmission of on-site monitoring data, and alarms for data exceeding the warning level, providing reliable data support for design and construction.

[0012] Step 3: Establish a high formwork monitoring system for tall formwork: The command center uses sensors installed on the top of the formwork support to monitor the pressure on the steel pipe of the formwork support, the vertical displacement and inclination of the frame in real time, and sends the sensor data of each supporting steel pipe column head to the equipment signal receiving and analysis terminal through the wireless communication template. The data receiving terminal analyzes the data after receiving it, and calculates the safety of the data while passing it to the remote monitoring system, and promptly transmits the dangerous state of the formwork support through sound and light alarms and real-time communication to the platform.

[0013] Step 4. Establish special equipment monitoring systems such as unloading platform monitoring: Innovative design based on the original unloading platform, based on embedded control technology, Bluetooth communication technology, LOAR wireless transmission technology, combined with the application environment of the construction site, using industrial-grade ARM processors, to achieve real-time monitoring of overload and over-limit problems caused by irregular stacking on the unloading platform at the construction site. When overload occurs, an alarm will be issued to remind operators to standardize operations, prevent dangerous accidents, and provide employees with a safer construction environment.

[0014] Step 5: Establish an edge protection monitoring system: The command center sets up intelligent monitoring and alarm devices at locations such as edge openings. The devices have sensitive sensing performance and can promptly alert operators that they are approaching danger zones, warning operators to pay attention to safety or leave in time.

[0015] Example 1: The construction site safety management method based on the AI ​​recognition system of the present invention is used at a construction site of a certain project to monitor the actual behavior of the workers and call out the actual labor usage on site in real time. This year, there were 166 AI alarm analyses, 119 reflective clothing alarms accounting for 71.69%, and 47 safety helmet alarms accounting for 28.31%. Through analysis, the correct wearing of reflective clothing will be a key control indicator in future construction processes.

[0016] By applying a construction site safety management method based on an AI recognition system at the construction site, the project site management level can be effectively improved, construction safety hazards can be eliminated in a timely manner, and the overall construction safety management efficiency of the project can be ensured. The use of this safety management system can improve the project safety level. The safety management work has gradually changed from passive management after the event to active management before the event. With the application of the Internet of Things and big data technology, it is possible to actively identify specific accidents and conduct active warnings to kill safety hazards in the bud. At the same time, in the safety management of the construction site, the management mode of the staff has gradually changed from static management to dynamic management to improve the feasibility and effectiveness of the construction site safety management work. Effectively control human resource input, ensure the overall effect of construction site safety management, effectively prevent safety accidents, improve construction quality and safety, avoid increased investment costs, create more economic benefits for enterprises, and create high-quality safe construction projects.

[0017] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. A construction site safety management method based on AI recognition system, characterized in that: The steps include: S1. Install the smart AI box and on-site monitoring system: Install the smart AI system at the construction site command center and configure the display screen and server host to establish a digital control center; Install a camera monitoring system at the gate of the construction site attendance channel and implant artificial intelligence technology with recognition function; When workers enter the construction site, the intelligent AI system automatically detects their information and whether they are wearing helmets and reflective vests. If workers are found entering the site without helmets, the system will immediately send an alarm, and the alarm signal will be pushed to the management control platform simultaneously. At the same time, a safety hazard ledger will be generated and saved in the database. S2. Establish a deep foundation pit support deformation monitoring system. The command center buries earth pressure boxes, anchor stress gauges and pore water pressure gauges in the deep foundation pit to monitor the stability of adjacent buildings and ancillary facilities in real time during the foundation pit excavation stage, support construction stage, underground building construction stage and after completion. It is responsible for collecting, reviewing, summarizing, collating, analyzing and transmitting on-site monitoring data, and alarming for over-alert data, providing reliable data support for design and construction; S3. Establish a high-support formwork monitoring system for tall formwork: The command center uses sensors installed on the top of the formwork support to monitor the pressure on the steel pipes of the formwork support, the vertical displacement and inclination of the frame in real time, and sends the sensor data of each supporting steel pipe column head to the equipment signal receiving and analysis terminal through the wireless communication template. The data receiving terminal analyzes the data after receiving it, and calculates the security of the data while transmitting the data to the remote monitoring system; Dangerous conditions are communicated through sound and light alarms and real-time messaging to the platform; S4. Establish a special equipment monitoring system for unloading platform monitoring: Based on the original unloading platform, the innovative design is based on embedded control technology, Bluetooth communication technology, LOAR wireless transmission technology, combined with the application environment of the construction site, and the industrial-grade ARM processor is used to achieve real-time monitoring of overload and over-limit problems caused by irregular stacking on the unloading platform at the construction site. When overload occurs, an alarm is issued to remind operators to operate in a standardized manner, prevent dangerous accidents, and provide employees with a safer construction environment; S5: Establish an edge protection monitoring system: The command center sets up an intelligent monitoring alarm device at the edge of the cave entrance. The device has sensitive sensing performance and can promptly warn operators that they are close to the danger zone, warning operators to pay attention to safety or leave in time.

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