Research On Key Technology And Design Of Intelligent Commercial Hood System

There is an inevitable trend that the Internet of Things(Io T)technology will be applied in the industry of kitchen appliances.So far the Io T technology is mainly used in intelligent control and visualization in range hoods,which has certain deficiencies in the practical application.For example,it is only able to switch automatically between fixed gears instead of stepless intelligent speed regulation;no immediate feedback and control failure lead to poor experience of intelligent control;the intelligent visual terminal only controls the switch of range hood,which lacks more practical functions.This paper points out the shortcomings of current control technology of commercial hood,and then it introduces an intelligent commercial hood system based on the Io T technology.It builds an integral framework of the intelligent system through analyzing the technical requirements,which as follows: obtain equipment operation real-time data via designing physical connection between dual intelligent gateway and indoor and outdoor key modules of commercial range hoods;upload data to the cloud via using GRPS communication technology to maintain a long-term connection between the intelligent gateway and the equipment cloud platform;realize multi-terminal visualization of the system with a variety of highly available functional modules via designing Web and APP clients.Under the framework of this intelligent system,a closed-loop data transmission link is formed among the range hood,the intelligent gateway,the cloud platform and the client.This paper points out the current shortcomings in the intelligent control of range hoods,such as insensitive operation and fixed gear control,and then it introduces a stepless speed regulation mechanism based on the fuzzy PID controller.This mechanism adjusts the power of fan in real time based on the gas fumes concentration of the gas stove,which aims at reducing energy waste.The fuzzy control technology effectively reduces approximately 20% of the overshoot of the PID controller and shortens nearly 180 seconds of the adjustment time.Through the fan simulation test and parametric analysis,the power of the fan under the fuzzy PID controller is positively related to the workload of gas stoves.Therefore,when the gas stove is half-operated,about 60% of the energy loss is saved.This paper points out that there is too much sensors in the system to large concurrent data traffic,and then it introduces a multi-layer network current-limiting mechanism based on a dynamic scheduling algorithm.In addition,a dynamic deadband scheduling mechanism is implemented in the smart gateway,and a dynamic scheduling current-limiting mechanism based on the Token Bucket Algorithm is implemented on the cloud platform.The design of the multi-layer network currentlimiting mechanism reduces the data traffic in the closed-loop link of system communication by 70%,as well as nearly 40% of the delayed response of network requests.At the same time,the system’s concurrent load capacity is improved comparing with a cloud platform only having a load balancing mechanism,which the resource utilization rate shows a drop of 10%.