Key Technology Research On Reftigerated Truck Of Remote Monitoring Systems

With the development of technology and the improvement of people’s living standards,consumers no longer only satisfied with the supply of food, medicine and other needs, but more andmore concerned about the quality and safety of food, medicine, etc.. Temperature is an importantfactor in protecting the safety of goods. Currently, wireless transmission, real-time and high-speedcommunications technologies has been widely used. Temperature monitoring is becoming one ofthe key issues during transport to ensure the safety and quality of goods. Therefore, how to monitorthe use of wireless data collection methods and intelligent temperature control method to predict thetemperature changes is particularly critical. Conduct research on this theme, the paper did researchwork, including:(1)In-depth study and explore existing refrigerated trucks remote monitoring system andtemperature monitoring method, objective evaluation of the advantages and limitations of eachtechnology;(2)Lack of intelligence in temperature monitoring of refrigerated trucks, two ideas areproposed. The one kind is by a dynamic threshold method, according to the temperature of thereal-time changes in the situation and when the temperature exceeds the threshold issue alarms;addition one kind is using computational intelligence methods, first through the artificial neuralnetwork prediction temperature of the change trend, then fuzzy inference intelligent decision toearly warning, to ensure the safety and quality of refrigerated items logistics.(3)Lack of artificial neural network BP algorithm, the paper proposes a new measure of theadaptive change rate of the BP network learning to improve BP neural network convergenceperformance, and enhance the ability to forecast the temperature of refrigerated trucks.(4)In this paper, the wireless sensor network technology, embedded technology and GPRStechnology to design a refrigerated truck remote sense control system based on embedded Linuxspecific environment suitable for the transport of refrigerated trucks.(5)Finally, the experiment shows that the temperature control system for real-time temperaturemonitoring and forecasting with good results. When an exception occurs, the control center can betoo timely to take appropriate measures to avoid or reduce the logistics loss.