Research On Intelligent Odor Regulation Methods For Indoor Environments

Odors play an important role in regulating human physiologies and emotions,and modern people spend more than 80% of their time indoors.Therefore,it's significant to create a comfortable indoor smell environment for the sake of people's work and lives.Digital olfaction is a concept proposed in recent years,and its main research focuses on the olfactory display technology.That is,odors are released under certain conditions to achieve the purpose of regulating users' olfactory experiences.Intelligent odor regulation methods for indoor environments are researched in this thesis,which combine the olfactory display technology with smart homes.The main research contents of this thesis are as follows:(1)An intelligent odor regulation system based on wireless sensor network is proposed to adjust indoor scents.The idea of this system is to monitor the level of indoor odors using wireless sensor nodes.When the indoor odors are not comfortable,the ventilation device is controlled to eliminate the inappropriate scents,and then the olfactory display device begins to release pleasant odors.The hardware module of the olfactory display device and wireless sensor nodes are designed and developed in this thesis,and the software platform of the system is developed based on ZigBee protocol stack and Qt.(2)A method integrating fluid dynamics simulation with ant colony optimization(ACO)is proposed to solve the problem of indoor deployment of wireless sensor nodes.The formaldehyde is taken as the simulation object,and its concentration distribution in the room is obtained through the simulation firstly.Then the monitoring points are selected according to the simulation result.Finally,with the minimum number of sensor nodes as the optimization index,ACO is used to deploy sensor nodes to complete the coverage of the monitoring points.(3)To solve the problem of indoor deployment of the olfactory display device,an optimization method using fluid dynamics simulation is proposed.When doing the simulation,the olfactory display device is set at different positions,and the particles' diffusion trajectories are obtained.Then the diffusion trajectories corresponding to different release positions are compared and analyzed.The optimal deployment position is determined by taking the odor diffusion rate,the diffusion uniformity,total indoor odor particles and the average concentration of particles on breathing section as optimization indexes.(4)Experiments are designed and conducted to evaluate the intelligent odor regulation system for indoor environments.At first,the effectiveness of the deployment method of the olfactory display device is verified by releasing the odor at different positions.Then,the feasibilities of the wireless sensor node deployment and the system are confirmed through the odor regulation experiment.At last,the system power consumption is tested,which proves that the system meets the requirement of low power consumption in smart homes.