Title :
The intelligent control and real-time detection systems of mine ventilator based on ARM
Author :
Fu Jia-cai ; Pan Wei-nan
Author_Institution :
Coll. of Electr. & Inf. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
Abstract :
Aimed 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. This system has ARMS3c2440 processor as the core of the monitoring and alarming subsystem, real-time display the gas and coal dust concentration and communication with PC by Ethernet. The simulation and experiment prove that the control system can regulate speed of ventilator automatically and continuously according to concentration change of gas and dust. It saves energy obviously and has higher real-time and reliability.
Keywords :
alarm systems; computerised monitoring; control engineering computing; fuzzy control; intelligent control; mechanical engineering computing; microprocessor chips; mining; self-adjusting systems; velocity control; ventilation; vents (mechanical components); volume control; ARMS3c2440 processor; Ethernet; PC; alarming subsystem; double fuzzy intelligent control system; dust concentration; energy-saving improvement; gas concentration; logical operations; mine ventilator air volume control system; monitoring subsystem; real-time detection systems; real-time display; reliability improvement; self-adjusting ventilator speed; Control systems; Fuel processing industries; Monitoring; Niobium; Real-time systems; Reliability; Shafts; ARM; Air volume; fuzzy PID control; mine ventilator; self-adjusting;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758188
