The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In view of the severe situation in coal mine safety production, using tomcat6.0 as the Web server software, through the dynamic web page struts technology and ibatis framework technology to realize database connectivity, using Myeclipse 5.5.1 as a development tool, we develope the web-based system which is monitoring and managing of the coal mine safety equipment intelligently. For different units,...
The construction of intelligent mobile phone coal mine production and safety-monitoring system is based on the various existing safety-monitoring systems, for instance the coal mine gas-monitoring system etc, and coal mine production management system already in use in the coal mine. It makes use of intelligent phone as a platform and realizes its functions of safety monitor and production control...
The environment is complex and the parameters are difficult to measure accurately in coal mine, so fuzzy theory and neural network technology were applied to structure intelligent fuzzy neural network sensor system in the areas of coal mine safety monitoring, which had a research focus on the formation and training of intelligent fuzzy sensor system membership function network samples and fuzzy inference...
Based on the theory of system engineering, coal mine production safety has been analyzed. From workers, production process, coal production and economy, coal mine production safety evaluation indexes have been confirmed, and then the BP neural network model of coal mine production safety evaluation has been built. After training and testing the model, the model can accurately evaluate the coal mine...
The coalmine gas hazard affected safety of China coalmine production most. As there were lots of complicated and uncertain factors during gas accidents emergency rescue and making decisions process, accurate decisions can not be drawn by mathematics models with present information monitored by the KJ series monitoring systems such as KJ90, so experiences of former questions were urgently required...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.