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 order to increase dust measurement precision and real-time capacity, an improved dust monitoring system was presented. One master with three extensions was adopted at measuring point and the data fusion was adopted. Furthermore, to solve the problem of coal-dust explosion limit reducing once the gas gathering occur, the explosion parameters were detected by multi-sensor and the information of dust,...
Based on the background of multi-rope friction hoisting transport system and the factual loading of hoisting skip as the object monitored, a practical and economic monitoring system scheme has been put forward, which is not only capable of monitoring the factual loading of hoisting skip but also can detect the quantity of unloaded coal left in hoisting skip after the process of unloading expediently,...
Prevention and control of the disastrous accident is the top priority of coal mine production safety. RBF and the combined grey neural network (CGNN) model are established. Combined with cascade-correlation (CC) and RBF-DDA algorithms, gas explosion impacting on coal mine production safety largely is analyzed. The analysis results show that gas explosion accident is caused by many reasons. The relationship...
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...
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.