Design Of Safety Monitoring System For Tower Crane And Study On Early Warning Of Operation Condition

With the rapid development of the construction industry,tower crane as a necessity of construction industry construction,the use of the number of rising.The successful application of wireless remote control technology in the field of tower crane makes the society have higher requirements on the accuracy of operation parameter monitoring and operation status assessment and early warning algorithm of tower crane.In reality,the number of safety accidents related to tower cranes is still high because of the lack of reliable monitoring and reasonable warning methods for the running state of tower cranes.In this paper,a safety monitoring system for wireless remote control operation of tower crane is designed based on the study of the early warning algorithm of the running state of tower crane,combined with embedded technology.The specific research work is as follows:(1)In view of the defects of existing tower crane visualization schemes which lead to large screen delay,an improvement scheme of tower crane visualization based on LAN is proposed,and the actual needs of tower crane safety monitoring system are analyzed,and the design framework of the system is established.(2)The existing tower crane safety monitoring system is analyzed because it only sets a simple threshold for risk alarm,so there is a large false alarm rate.This paper proposes a tower crane operation state assessment and early warning algorithm based on cloud model and improved DS evidence theory.Firstly,the cloud model is used to obtain the membership distribution of the tower crane operating state evaluation,and then the membership information is fused by improving the DS evidence theory.Finally,the evaluation results of the tower crane operating state are obtained.The example simulation shows that the proposed algorithm can make up for the defect that the simple threshold alarm does not advance the warning of the dangerous situation when the tower crane is affected by multiple factors.In the field of tower crane operation state assessment and early warning,compared with cloud model,cloud model plus traditional DS evidence theory,cloud model plus single weight weighted evidence theory,the proposed algorithm has higher accuracy.(3)Design the safety monitoring system for a tower crane,including both software and hardware components.The data acquisition module collects operational parameters from the crane and sends them to the tower crane operation status evaluation and alarm module as well as the tower crane visualization module via data communication and serial-to-ethernet modules on a local area network.This allows for real-time evaluation of crane performance and visualization of operational data.The switch fault detection module is responsible for detecting faults in the distribution cabinet.The software is developed using Keil u Vision5 development platform and enables information exchange between the various modules based on their functional requirements.(4)Functional test and monitoring interface design of tower crane safety monitoring system.The stability of tower crane safety monitoring system is verified by the installation and testing of each module in construction site environment.At the same time,Java language is used to design the monitoring interface,the operation data of the tower crane and the video data collected by the tower crane visual module are integrated display,and the system functions are enriched.