building construction Urban renewal project in a city in East China 2023-09 52

Smart construction site safety management and control project for a construction group

Covering the tower crane working surface, the periphery of the foundation pit, the material storage yard and the workers' living area, the wireless network can be used to relocate the points as the project progresses, and cooperate with safety helmet identification and cross-border alarms.

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Project Overview

Project basic information

Project customersA building construction group Co., Ltd.
Project locationUrban renewal project in a city in East China
Project scaleSimultaneous construction of 3 tender sections / 96 road points
Project duration55 days
Delivery time2023-09
Classificationbuilding construction

project site

Real scene of project site

Project background

This project is an urban renewal complex project, which is being promoted simultaneously in three bidding sections. There are about 1,200 laborers on site during the peak period. The project department hopes to effectively reduce on-site safety risks while meeting the "Smart Construction Site" filing requirements of the housing and construction authorities.

Design for migration as progress

The difficulty with construction sites is that "the best spot today may not exist next month". Plan adopted:

  1. The points are all installed on removable movable poles with counterweights at the bottom, eliminating the need for expansion bolts.
  2. Video backhaul is mainly based on wireless bridges, and only wired ones are reserved in permanent buildings.
  3. Every time the image progress changes, we and the project department will jointly review the point ledger.

Actual value

  • Border crossing warnings are issued an average of 6-8 corrective reminders per day, and the violation rate decreases month by month after forming a habit.
  • The number of night theft incidents in the materials yard dropped from an average of 3 incidents per month to 0 incidents.
  • The labor real-name system is linked with the face turnstile, and settlement disputes at the end of the month are significantly reduced.

Project difficulties

Issues that need to be addressed during project advancement

The construction surface of the construction site changes rapidly, and points need to be moved frequently

Traditional wired points cannot be moved once pouring is completed

The working surface of the tower crane has a wide view but difficult wiring

High points lack mains power and network access conditions

The labor force is highly mobile and the real-name system is difficult to manage

It is difficult for the personnel entering the site to correspond to the video screen

Foundation pits and edges are high-risk areas

Nighttime operations take a long time and manual supervision is difficult

solution

Technical and construction measures taken to address the above difficulties

Adopting detachable pole + wireless bridge network

The point is moved as a whole according to the progress of the image, and the average migration takes 2 hours

Deploying 4G/5G wireless dome cameras at the commanding heights

covering the panoramic view of the foundation pit and tower crane rotation radius, supporting automatic cruise

Facial recognition in living areas and turnstiles

Labor real-name data is bound to traffic records, and attendance and screen can be checked in both directions

Electronic fence cross-border alarm in the border area

Personnel approaching the edge of the foundation pit triggers a broadcast and pushes the safety officer

Project results

Actual operating data after the system goes online

45%
Reduced manpower for on-site safety inspections
92%
Recognition rate of not wearing a helmet
2 hours
Average time for single point migration
0
Major safety accidents during construction

Main equipment list

This project mainly uses equipment (XLD is mainly self-developed)

  • Wireless Bridge24 pairs, point-to-multipoint backhaul
  • 4G/5G wireless ball machines12 units, panoramic view from the commanding heights
  • 2 million network gun machines62 units, foundation pit and material area
  • Face recognition channel gate6 channels, real-name linkage
  • AI edge analysis box3 units, hard hat/cross-border identification