Podrobná bibliografie
| Název: |
基于智能监测技术的塔吊安全管理系统设计与开发. (Chinese) |
| Alternate Title: |
Design and Development of Tower Crane Safety Management System Based on Intelligent Monitoring Technology. (English) |
| Autoři: |
刘维青, 王立朋, 郭志达, 王泽阳 |
| Zdroj: |
Railway Construction Technology; 2025, Issue 12, p108-111, 4p |
| Témata: |
TOWER cranes, EDGE computing, ELECTRONIC data processing, SERVICE-oriented architecture (Computer science), REAL-time computing, ACCIDENT prevention, TRACKING control systems, EMERGENCY management |
| Abstract (English): |
To address the issues of poor real-time performance, incomplete coverage, and data lag in traditional safety management methods for tower cranes on construction sites, a tower crane safety management system based on intelligent monitoring technology was designed and developed. Firstly, by analyzing the operational processes and high-risk links of tower cranes, the functional requirements of the system in real-time status perception, intelligent early warning, and remote management were clarified. Secondly, a "cloud-edge-end" collaborative hardware architecture and a microservices-based software architecture were designed to ensure high reliability and compatibility of the system. In terms of key technology implementation, intelligent monitoring methods such as high-precision positioning and displacement monitoring, stress perception-based bolt health monitoring, and magnetic memory diagnosis of wire rope damage were developed. Real-time data processing and intelligent analysis were achieved through edge computing and multi-sensor fusion technology. Test results show that the system's warning accuracy rate is ≥98%, with a response delay of 100 ms, effectively enhancing the initiative and response speed of tower crane safety management and reducing accident risks. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
为解决建筑施工现场塔吊传统安全管理方式存在的实时性差、覆盖不全、数据滞后等问题, 设计并开发了一套基于智能监测技术的塔吊安全管理系统。首先, 通过分析塔吊作业流程与高风险环节, 明确系统在实时状态感知、智能预警与远程管理等方面的功能需求。其次, 设计"云边-端"协同的硬件架构与微服务化的软件架构, 以确保系统的高可靠性与兼容性。在关键技术实现方面, 提出高精度定位与位移监测、基于应力感知的螺栓健康监测、钢丝绳损伤磁记忆诊断等智能监测方法, 并通过边缘计算与多传感器融合技术实现数据的实时处理与智能分析。测试结果表明, 系统预警准确率≥98% 、响应延迟≤100ms, 能够有效提升塔吊安全管理的主动性与响应速度, 降低事故风险。 [ABSTRACT FROM AUTHOR] |
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| Databáze: |
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