Research And Design Of Intelligent Monitoring System For Modern Farm

Nowadays, the livestock and poultry industry in our country has been presenting the development trends toward scales and modernization. The enclosed farms are widely used in the livestock and poultry management, while the risk of intensive livestock farming is on the increase. The massive death of livestock and poultry caused by the environmental degradation in farms, not only leads to substantial economic losses, but also gives rise to various infectious diseases, posing a threat to human well-being. Therefore, achieving modern and effective environmental monitoring in farms can prevent infectious diseases in a timely manner. Meanwhile, it is also beneficial to livestock’s growth as well as product quality improvement. There are several drawbacks of traditional wired environmental monitoring system, such as complex routing and poor mobility of devices, which results in great inconvenience to the upgrading and maintenance of system. With the development of wireless sensor technology, such a technology with characteristics of self-organization, high reliability and easy-maintenance provides a new solution to the intelligentization of environmental monitoring in modern farms.Based on the research of wireless sensor networks and ZigBee technology, rabbits are taken as examples in this paper and the environmental determinants, including temperature, humidity, illumination and ammonia, that affect their growth are analyzed and chosen as monitoring objects. Then Zigbee technology is adopted to design and implement an environmental monitoring system in modern farms. This system design is composed of three parts, hardware and software design of each node and PC monitoring software design. In the hardware part, coordinator nodes, router nodes, sensor nodes and control nodes are implemented to build the wireless sensor network. For each node, a hardware circuit as well as a software program based on Z-stack are designed, the environmental information collection, transmission and controlling in farms can be then achieved. In the PC monitoring part, C#is used to develop the monitoring software interface to achieve functions of real-time display, historical data querying, database storage and curve plotting of environmental data. Also, a Web remote client data query system based on B/S structure is designed to achieve the environmental data query for remote users. Besides, this paper focus on the research of wireless sensor network nodes deployment optimization. With the aid of an advanced PSO algorithm, the optimal position of sensor nodes can be sought out, in the view of maximizing the network coverage and reducing dead zones. In this paper, the coverage rate of a rabbit hutch is assigned as the optimizing objective to carry out a simulation experiment.The experiment results indicate that this monitoring system has advantages of flexible networking and high reliability, which can effectively realize real-time monitoring, historical data querying, alarming and controlling of farms’environmental data. Functions of the system can meet the design requirements, improving the intelligence of farms’environmental monitoring, thereby having broad application prospects.