Research Of Intelligent Control Mechanism For Poultry House Environment

Poultry house breeding is an important part of our country agricultural development, and its strategy and scale are the future direction of development of modern poultry farming. Meanwhile, with the increasing of the avian flu and other diseases, especially H5N1highly pathogenic avian influenza, people are clearly aware poultry breeding is no longer simply involve economic interests, and also the human relations to their health and life safety. Therefore, it is necessary to put forward a higher demand to the poultry house environment. Poultry house environmental control is a series of projects and facilities, to ensure a reasonable environment for poultry growth and breeding, and also is an important condition for the poultry industry intensification and modernization; however, the poultry house environment is complex, large systems, highly nonlinear, time variable and multivariable coupling such that many of the conventional means of detection and control methods can not meet the requirements. Study the poultry house environment with intelligent detection monitoring system and the poultry house environment parameters of the intelligent control method has important theoretical significance and application value.In this paper, the analysis of the temperature and humidity in the poultry house environment and air quality monitoring and control mechanism on the basis of the poultry house environment based on wireless sensor network platform for intelligent monitoring and control of key technologies. Measurement of poultry house environmental parameters based on the Zigbee protocol wireless sensor network structure and implementation; the poultry house environment parameters of fuzzy data fusion detection; poultry breeding requirements and poultry survival characteristics within the poultry house environment, the variation of temperature and humidity, and poultry between the social characteristics of the relationship between the poultry house environment parameters change with the measurement and control technology requirements, build a the poultry house environment monitoring and control systems based on Zigbee protocol, and wireless sensor network platform, the class carried out a detailed analysis and presentation, including hardware selection and circuit design.The poultry house environment parameters based on fuzzy theory multi-sensor data fusion detection for multi-sensor data fusion, sensor reliability estimated value difficult to calculate, the poultry house temperature for a collection of objects, respectively, based on statistical The methods and spatial and temporal multi-sensor fusion methods fuzzy closeness method of calculation and experimental results verify the validity and accuracy of the proposed method.The controlling course of poultry house environment was a process of controlling the temperature and humidity of the medium in poultry house to make the moisture content to a certain expected value. The objective of poultry house control is to decrease the consumption of energy and to increase the quality of lumber at a minimum time. Conventional controller is widely applied in current poultry house, but it is based on the schedules developed by using empirical testing with the aim of providing reasonable throughout with acceptable levels of defects. This cannot adequately follow the different performance indexes, such as the minimum time and/or the energy of poultry house, etc. According to the characteristic of real poultry house environment, we examined the utilization of variable structure control and intelligent variable structure control in poultry house control system based on Neural Network model and the closed-loop stability was proved by using Lyapunov method. Moreover, for matched and mismatched uncertainties, two different control systems are developed for the poultry house system. And also for the boundedness of the uncertainties, the different kind of stable conditions are discussed.In addition, for the poultry house process, it is considered as a complicated system and the decentralized variable structure control system is presented and the sliding condition is also analyzed such that the stable condition of the closed-loop is given. More specifically, the dynamics characteristics of the poultry house environment were represented by two interconnected subsystems:heat-temperature process subsystem and temperature-moisture process subsystem. And then based on variable structure control theory, a robust poultry house control system is developed for this nonlinear interconnected poultry house environment such that the moisture content of poultry house will reach and be stabilized at the desired set point. Moreover, in order to reduce the control chattering, the modified decentralized variable structure controller is also developed by using a boundary value.To verify the feasibility of the proposed poultry house environment measurement and control system based on wireless sensor networks, set up a test platform through the wireless node to test the temperature, humidity, and gives the fan relay output in the form. Developed MCGS configuration of the poultry house environment monitoring system, through actual operating results to show the monitoring system is running properly, real-time data, the control curve in line with the actual requirements, with a wide range of application value.