| With the urgent need for oil in national economic development, and the need for strategicreserve of oil resources, underground oil storage caverns were built in all parts of thecountry, in order to reach oil reserves in90days. Construction and operation ofunderground petroleum storage caverns cannot be built without safety monitoring. Thecontents include: the deformation monitoring of surrounding rock of the surface and internal,lining structure stress and strain monitoring, microseismicand water level and seepagepressure monitoring. This monitoring project will produce a variety of data types, in orderto have a better management,analysis, visualization of monitoring data, that this paperdesigned a three-dimensional monitoring information system. The system is developedthrough VS2008MFC, Access and OpenGL platforms,and has met the basic requirementsfor monitoring project. The main work and results are as follows:1. Overall Design of System: MFC provides basic application development framework.Before editing codes, the most important thing is to analysis the functional requirementsform the engineers, then it’s time to design menu,toolbar,view and the workflow forfriendly operating experience.2. Database Design: The design is based on Microsoft Access which has a very friendlymanipulating environment. The design includes the field information design of monitoringsheet and the relationship design between sheets. Excellent database design will bring muchbenefit to the programming of information system.3. Development of System: After evaluating different ways of connecting database, ADOmethod is selected, which provides functions such as deleting items, adding items andmodifying items. Then using MsChart ActiveX control to plot curves made frommonitoring data. Further more, to accomplish three-dimension visualization, OpenGL API isused in the system.4. Monitoring Data Analysis: Data analysis using the common analysis methods calledregression analysis. With exponential function, logarithmic function and the hyperbolicfunction regression analysis method to predict the future development of curve. Bycomparing predictive value and monitoring value of the safe range, future security of the carven can be forecasted. In addition, the curve shape and data analysis of neighboringmonitoring equipment can validate the accuracy of monitoring. |
