Design And Implementation Of Intelligent Site Monitoring System Based On SSH

With the progress of the society, the improvement of human life and the acceleration of urbanization of China, construction projects have sprung up.However,in the process of construction, various environmental problems have been plaguing people. On the other hand,the rapid development of information technology brings earth-shaking changes and a lot of convenience to people. How to use computer information technology to build real-time monitoring of construction process to avoid to cause the environmental pollution becomes a significant topic.On the basis of the in-depth studies of user requirements, both of the overall software framework and the basic functions of intelligent construction site monitoring system are determined in this paper. By using specialized MVC architectural pattern and advanced Java EE framework, combined with the popular SSH framework and B/C structure, a construction site monitoring system is designed which is clear in structure, user-friendly in interface, good in reuse and convenient in maintenance.This paper introduces the MVC architectural pattern and the SSH framework which is a lightweight Java EE technologies based on MVC model. Jquery Easy UI is used to develop the front page,and My SQL database is used to store data.Based on above,the databases of the system and the cooperation way of each functional modules are designed.The detailed design and implementation procedures of each core function module are also described in detail in this paper.In the end,the system goes through funtion and performance rigorous test. According to test results, suggestions for further improvements of the system’s functionality and performance are given.This intelligent construction site monitoring system is not only available to the management of construction sites, sensor devices, officials and system settings, but also to the data collection of noise and dust in the construction field. The system plots curves according to the real-time data collected, and handles alarm when there is data beyond the limit in a construction site.