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Mobile Edge Computing for Intelligent Mining Safety: A Case Study of Ventilator
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2020The underground mining field sometimes is uncertain, which may lead to the severity of incidents, including explosion, corruption, and toxic air. To this end, it is vital to monitor and analyze the possibility of incidents and promote the corresponding rescue actions.
Yuchun Zhang +3 more
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Intelligent Unmanned Control System for Local Ventilation Fan in Coal Mine
2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE), 2023Tongfei Lei
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Design of coal mine ventilator intelligent monitoring system
International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012The paper mainly elaborates the design of hardware and software about intelligent monitoring system. The hardware includes DSP (That is a digital signal processor.), a variety of sensors, external circuits, the system debugging and simulating. The software includes a main program and a bus communication protocol.
null Yuqin Zhu, null Guoshi Yang
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Design of Mine Ventilation Systems Based on Artificial Intelligence
Applied Mechanics and Materials, 2014Expert systems, or knowledge based systems, are programs in which the answer to a user-posed question is reached by logical or plausible inference rather than strictly by calculation, although calculation routines can form a major part of an expert system.
Xiao Yu Yin +8 more
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Study on the Modeling of Main Mine Ventilator Based on Artificial Intelligence
Applied Mechanics and Materials, 2011The parameters of main ventilator in mine such as air flow, wind speed, gas concentration and other conditions are closely related, for its complexity, it’s difficult to establish the nonlinear mathematic model, and it’s hard describe the model properties by traditional identification method.
Xin Hui Du +3 more
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Energy ReportsVibration fault diagnosis of mine ventilator based on intelligent method
2009 Chinese Control and Decision Conference, 2009Based on the analysis of the vibration fault features of mine ventilator, the paper established a fuzzy wavelet neural network model which can diagnose the faults of mine ventilator. The fuzzy wavelet neural network model unify fuzzy logic and BP neural network, using wavelet basis function as membership function.
null Ming Li +2 more
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The intelligent control and real-time detection systems of mine ventilator based on ARM
Proceedings of 2013 2nd International Conference on Measurement, Information and Control, 2013Aimed at improving the reliability, real-time and energy-saving of mine ventilator air volume control system. This paper put forward a double fuzzy intelligent control system to self-adjusting ventilator speed based on the result of logical operations, which conclude gas and dust concentration.
null Fu Jia-cai, null Pan Wei-nan
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Study on the Energy Saving of Mine Ventilator Based on Artificial Intelligence Control System
2010 International Conference on Electrical and Control Engineering, 2010Radial Basis Function(RBF) is used to identify the model of mine ventilator, frequency control system is introduced to control the speed of ventilator, and traditional control strategy used PID is replaced by FNN. The MATLAB simuliation results show that the ventilator modeling by RBF neural network can better reflect its nonlinear characteristic, the ...
Xinhui Du, Jiancheng Song, Shanjun Zhu
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Intelligent Theory and Technology of Mine Ventilation
Foreign Language Science and Technology Journal Database Engineering Technology, 2021openaire +1 more source