The Development Of Large-scale Coach Air Conditioning Remote Intelligent Monitoring System

With the deepening of energy conservation, every people has participated in the emissions reduction and low carbon release life.To implement the national saving energy and reducing emission policy better,the remote intelligent monitoring system of large-scale coach air-conditioning is put forward.Different operation habits of drivers sometimes can lead the temperature of the carriage not to be adjusted timely that the temperature in the carriage is too cold or too heat. What is more,they sometimes forget to turn off the bus air-conditioning, which always cause a huge waste of energy. The system in the paper can transfer the operating rights to the monitoring center,so that energy waste can be avoided effectively when the driver do not close the air conditioning timely.Firstly, the model for the air-conditioning motor system in big car is built based on the Simulink toolbox in Matlab,which includes submodels of coach carriage submodel, compression machine submodel, condenser submodel, evaporator submodel and expansion valve submodel.Secondly, all the submodels are combinated forming the whole simulation model,with which we can use the switch control, PID control and fuzzy control algorithm to analyze the coach carriage’s temperature, humidityand gain the data of the simulation.In order to realize the remote intelligent monitoring to the air-conditioning in the car, a kind of intelligent monitoring system based on GPRS is put forward. Under the control of Atmega128, the system completes the temperature and humidity data acquisition by using the temperature sensor, humidity sensor and GPRS data communication technology.Besides,it realizes the remote control for the temperature and humidity by the wireless transmission date from the DTU. The software of the monitoring center management designed by the software of King View has the function of SQL database building,it can provide historical data query.Then use it for remote monitoring of temperature and humidity inside the large-scale passenger compartment, and get a better monitoring results.