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Research Of Mine Hydraulic Support Data Collection And Early Warming System

Posted on:2009-04-10Degree:MasterType:Thesis
Country:ChinaCandidate:Z M WangFull Text:PDF
GTID:2178360245995625Subject:Control theory and control engineering
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China is the largest producer and consumer of coal in the world, the situation coal is our primary energy which will not change in the next 50 years. Coal mine safety has been an important factor of constraining development of coal industry for a long time. The safety monitoring of mine devices, especially mine hydraulic supports, develops at a low pace which has been unable to adapt to increasingly complex exploitation environment. The task of this dissertation is focus on a low-power, low-cost mine hydraulic support data collection and early warning system which is suitable for mine environment.The main work of this dissertation includes hardware and software design of underground data collector, monitoring software design of underground data transmitter and analyzing the collected data by using prediction theory and method of chaotic time series which realized the short-term feasible warning of the system.Firstly, the design of underground data collector which is the core of mine hydraulic support data collection system, each underground data collector collects the pressure and angle data of double mine hydraulic supports. Underground data collector mainly including power supply module, A/D converter of pressure module, RS-485 communication of angle module, LCD module, FLASH memory module, alarm module and CAN bus communication module. Underground data collector is the bottom of system, and it influences directly the entire system that whether it is designed reasonably. The experiment result shows that the reasonably design of hardware and software improve the compatibility of the system, achieve the real-time data collection and ensure the reliability of system.Secondly, the monitoring software of underground data transmitter is designed which includes man-machine interface and serial communication. The well design of man-machine interface plays an important role of guaranteeing the software system to function fully. Monitoring software user interface includes main interface, setting machine-number and support-number interface, and setting alarm interface. The realization of serial communication is completed by using MSComm control. Serial communication works in accordance with the requirement of system through setting several properties of MSComm control, and adding incident response codes.Finally, this study also realizes short-term warning of mine hydraulic support data collection system using prediction theory and method of chaotic time series. The phase space is reconstructed after determining the delay timeτand embedding dimension m of the raw data. And then realize the short-term prediction of pressure data based on the local method. Result shows that this method realizes short-term warning of collected data effectively.The main points of innovation of this research including: apply MSP430 ultra low-power chip and CAN bus communication technology to the mine hydraulic support data collection system. It not only reduces the power consumption of system, increases the reliability, real-time and flexibility of communication system, but also constructs a very effective distributed control and real-time monitoring network, and then meets the requirement of mine system much more. Otherwise, we take prediction theory and method of chaotic time series to the application of early warning of collected data, and the result shows that the method could be used in our forecasting.The mine hydraulic support data collection and early warning system has not only solved many shortcomings of the existing systems, for example high-power, high-cost, observation inconvenient, poor real-time data collection, low reliability of communication and so on, but also been able to further improve the running reliability of mine hydraulic support. And it is propitious to realizing mine automation.
Keywords/Search Tags:data collection system, mine hydraulic support, chaotic prediction
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