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The widespread use of ZigBee technology in the field of Smart Home makes all sorts of home appliances more intelligent. As a part of Smart Home, an air conditioning remote control system with low power consumption is introduced in this paper. The system utilizes microprocessor MSP430 as the core and ZigBee wireless communication module as intermediary to realize the remote network control of air-condition. On the basis of giving the whole system function, this article states the design method about how to deal with multiple tasks of the system in detail and further elaborates concrete realization processes of air conditioner initialization task, infrared emission task, the temperature setting task and time calibration task. Therefore, it provides a directive method for the design of air conditioning remote control system. Test results show that the system has the characteristics of unobstructed tasks running and low power consumption so that it promises a good application in the future.

To control road tunnel ventilation is very difficult because of its high no-linearity and random property. In this paper the grey prediction and fuzzy control method is developed for road tunnel ventilation control. The method includes two prominent blocks, i.e., grey predictor and fuzzy controller. The grey predictor is realized based on discrete GM(1,1) and can rollingly predict the system outputs on line. The fuzzy controller structure is the same as the traditional fuzzy control system for road tunnel ventilation but the new fuzzy inference rules are established. Finally the method is simulated using practical data and the results shows that the effect of this method is better and it also cost less energy compared to the traditional fuzzy control method.

Traffic accidents or fires in highway tunnels were increased in the last decade. How to reduce the accidents and its consequent harms? The computer aided emergency management system deployed within the surveillance and control system for highway tunnels, was brought forward. The system integrated functions of other subsystems, and formed a strong comprehensive ability to automatically aid emergency management. The definition about functions of the system was given, and the principles of the system were designed and discussed. Then the methods and technologies applied to realize the system were demonstrated. Finally, the standard architecture of the system was colligated.