Design And Implementation Of Monitoring System For Deep Foundation Pit

With the rapid development of large and medium-sized cities in China,people’s demand for land space is increasing day by day,and the development and utilization of deep foundation pit engineering is also widely concerned.Because of the complexity of deep foundation pit engineering,engineering monitoring becomes an important guarantee for the safety construction of deep foundation pit engineering.According to the requirements of partner,a deep foundation pit engineering monitoring system based on the SSM framework using sensor and communication technology is studied and designed.The overall construction of the system and the realization of its functions are focused on.First of all,the research background and significance,the research status at home and abroad and the main research content of this topic are introduced,and the problems of the deep foundation pit engineering monitoring system are pointed out at present.Then the overall requirements of the system are analyzed from the functional and non functional aspects.And then combined with the requirements,the system is designed from three aspects:overall architecture,network topology and business process.The system is divided into five modules: data access sub module,load balancing server module,database module,application server module and early warning module.For the prediction algorithm of early warning module,two typical intelligent prediction models are mainly studied,including time series prediction model and gray prediction model,for the settlement of surrounding buildings.In this paper,the improved algorithm model is integrated into the system,and the reliability of the two prediction models is verified by experiments.The results show that the two models can achieve the expected results.Then the monitoring technology used in this system is introduced.For the overall design of data access scheme,the monitoring items are divided into two categories: automatic acquisition items and items requiring manual measurement.For the automatic acquisition items,the existing automatic acquisition terminal is used,and a unified access communication protocol is designed for automatic data access;for the items requiring manual measurement,the function of page upload is provided to ensure the integrity of the monitoring project.Next,the rest modules of the deep foundation pit monitoring system are designed and implemented in detail.For the load balancing server module,the Nginx server is used to distribute the request to the application server through the source address hash.For the database module,My SQL is designed and implemented from three aspects of architecture,concept and table,and the necessity of Redis is explained from two aspects of real-time data cache and Session consistency.For application server module,cluster deployment is adopted,and user management,engineering information management,monitoring data information management and alarm information management are provided for clients based on SSM framework.For the early-warning module,a three-level early-warning scheme of dual control mode is designed.Two control indicators are set for the monitoring data of each monitoring point: cumulative amount and change rate.At the same time,three security states are set for each monitoring point to make different alarm push responses for different security states.Finally,combined with the demand analysis,the system is tested in an all-round way from the functional and non functional aspects of the system after building the software and hardware test environment.Experiments show that the system can meet the functional requirements,but also can deal with various concurrent situations by rapid response.