The invention provides a
building construction safety intelligent early warning and prevention and
control system, and belongs to the technical field of
building construction safety
intelligent management. According to the invention, through GPS, sensor network and environmental parameter monitoring, dynamic
perception of personnel behaviors, equipment states and construction environments is realized, high-place falling, mechanical faults and fire accidents are effectively prevented, a
risk model constructed based on
big data and
machine learning can accurately identify accident rules, such as seasonal hidden dangers and equipment fatigue trends, and the safety of the
system is improved. Traditional post-event
processing is converted into pre-event prevention, personnel distribution, equipment states and environment data are displayed through a
large screen and a mobile terminal, a manager can quickly allocate resources and balance safety and progress contradictions, a safety performance evaluation module generates a report through indexes of an accident rate and a hidden danger rectification rate, the safety management effect is quantified, and the
management efficiency is improved. Weak links are helped to be positioned,
risk model parameters and early warning rules are optimized regularly, and a PDCA cycle of'monitoring-early warning-prevention and control-evaluation 'is formed.