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The Design And Implementation Of Health Diagnosis System For Large-scale Civil Engineering

Posted on:2009-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y SunFull Text:PDF
GTID:2132360272470506Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
Large-scale civil engineering projects make people's lives more convenient. They also produce a great social and economic benefit at the same time. The safety guarantee issue of these projects, especially related to people's lives and property security, is becoming more and more important. It has become an important issue that how to implement an effective health diagnosis for a construction under a long-term effect by various adverse loads. The main development direction of health diagnosis system for civil engineering is to realize remote safety monitoring and early warning through setting up regional monitoring centers and automated monitoring terminals.This thesis analyzes the status quo of health diagnosis system for civil engineering both at homeland and abroad, and finds the developmental shortage of domestic automated monitoring system, in particular the data acquisition instruments of monitoring terminal are heavily dependent on imports, also expensive and difficult to use and maintain. Moreover, a majority of domestic self-developed equipments are just single-functional and only for a particular type of sensor, so that very wide types of data acquisition devices need to be used in one large-scale civil engineering, resulting in a very chaotic management. According to the actual needs of Nierji Hydrologic Hinge safety monitoring project, the thesis has introduced a high-reliability, all-purpose monitoring terminal system based on a variety of communication networks, the system meets the needs of users and provides a good platform and design idea to the similar projects.This system fully uses modern embedded technology, communication technology and safety monitoring technology of civil engineering. According to the system's functions and expansibility, a loosely coupled modular design method is used. The system uses 32-bit ARM microprocessor S3C2410 as its hardware core, reduces and transplants embedded Linux operating system, uses MiniGUI platform to develop graphical user interface. It also uses physics lightning protection technology, isolated power supply technology, high-precision A/D technology, as well as SMS (Short Message Service) and fiber-optic data transmission technology. The system has been operated in Nierji for 5 months, running stably and getting effective feedback.
Keywords/Search Tags:Health Diagnosis, S3C2410, Embedded Linux, MiniGUI, SMS
PDF Full Text Request
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