Application of B/S structure design to the management system for examining construction drawings based on INTERNET

Su-Ping Huang · 2014

For the manual handling process of construction pla ns review, not only cumbersome, inefficient, and err or-prone, a construction plan review management system has been researched an d implemented. The system uses J2EE architecture, B / S structure, the system is designed as multi-layer model, in which c lients are achieved by using JSP STRUTS (MVC pattern ), intermediate application server is deployed by APACHE TOMCAT、 WEBLOGIC, back-office services and database using R SERVICE, SQL SERVER 2008, ORACLE. The system is uses internal monitoring platform technology solutions bon a distributed business systems, to achieve applicatio n monitoring, database users operation monitoring a nd system log monitoring capabilities for distributed business systems, it s olves the current firewall, invading detection, netwo rk auditing and other internal system usage monitoring problems that the network security monitoring devices can not handle, also using a modular approach to achieve drawing attribute storage. The aresults show that, first, through informa tion management systems and information site combine to achieve a direct in quiry and calls the internal review comments through Internet and available for download, the whole process without human interven tion upload data , greatly improved work efficiency and ensure review data in a real-time and reliability. Second, the in formation management system can be generated direct ly deal with review comments, review comments may be formed in a databas e for easy archiving management, inquiry and backup . Third, using the Simple Object Access Protocol (SOAP) to achieve inf ormation sharing printing, and enhance the system’s simplicity and scalability. Currently, most of the construction pl an review works are in traditional working ways, that done manually in every aspect, it is slow and inefficient. Construction unit s, survey and design units, review experts to consta ntly back and forth between design units and survey units, affecting the progre ss of the project construction. For this situation, the country has developed some construction plan review management systems, whi ch not only improves the project management system design, the efficiency of the use of personnel, but also reduce s work errors. The engineering drawings of these syst ems are relied on manual processing, and does not solve the problem of how t o simultaneously access multiple databases. The sys tem uses a J2EE architecture, B / S mode, multi-model designed, the system framework combines Spring, Hibernate and St ruts, three mainstream open source components, to make the system has good stability and ease of maintenance and good scalabi lity[1]. The system uses aspect-oriented technology, to achieve one app lication service simultaneously manage multiple dat abase connection pooling, to solve the difficult issues of how the general sys tem simultaneous access to multiple databases; and also using a modular approach to achieve drawing attribute storage[2]. co nstruction of Intelligent Transportation Systems (I TS) occupies a crucial position in the current wave of smart city. Effectiv e and efficiency ITS needs two important conditions: plenty of traffic data and effective means of data analysis. Multi-source, het erogeneous, vague, uncertain traffic data fusion an d sharing is the focus and difficulty of current research and application of IThe granular computing demonstrates a unique ad vantage in the information analysis and processing of massive, vag ue, uncertain and incomplete data. In this paper, we study the traffic information granular computing theory and build tra ffic information fusion model, framework and impleme ntation program based on granular computing. We raise uncertainty ralgorithms for traffic flow prediction and congestion recognition algorithms based on granular computing theory, which will provide new ideas and methods in the complex d ecision making under uncertainty problems of the transportation sy stems.

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