Abstract:A platform for construction information collecting was established using the internet of things. The real-time dynamic data transmission to and from the inside and the outside of underground cavern group was achieved. A calculation method of the damage reduction of surrounding rock during construction was proposed to provide the dynamic warning indicator of surrounding rock at any construction state based on the method of strength reduction and numerical simulations. A method of real-time comprehensive evaluation and early warning using the mixed composition operators was proposed based on the observed behavior. If an alert occurs,the best route for evacuation will be provided by the system and sent to the PDA for everyone in the underground cavern group. Finally,a real-time method of safety evaluation and early warning system for large-scale underground cavern group were developed based on a mixed programming technology with Python and VB.net. The system realizes the dynamic early warning and emergency directing during construction,providing safety guarantee for engineering and lives.
撒文奇1,张社荣2,张连明1. 基于物联网的大型地下洞室群施工期动态安全评价与预警方法研究[J]. 岩石力学与工程学报, 2014, 33(11): 2301-2313.
SA Wenqi1,ZHANG Sherong2,ZHANG Lianming1. REAL-TIME SAFETY EVALUATION AND EARLY WARNING OF LARGE-SCALE UNDERGROUND CAVERN GROUP DURING CONSTRUCTION PERIOD BASED ON INTERNET OF THINGS. , 2014, 33(11): 2301-2313.
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