Poultry breeding environment factors such as temperature and air humidity directly affect poultry production performance for large-scale poultry farms in the demand for environmental monitoring, research and application of CAN bus technology to build a distributed multi-variable environmental monitoring system, which an embedded core from the monitoring center and the PIC microcontroller as the core component of intelligent monitoring terminal, control center real-time monitoring of collection, analysis and processing of environmental information collected from the terminal, the control requirements based on user input, combined with the results of data processing, to the terminal sends control parameters, and breeding farms to monitor more than one poultry house.

Coal flow in the tunnel face during transport produce large Amounts of coal dust, coal dust most of the spay to reduce dust technology, and now most of the single-sensor acquisition of the Entire roadway dust concentration, poor control of water spray for this design uses two sensors collect coal dust concentration of dust, the use of belt scales capture coal traffic, stop the use of open-OFF sensor acquisition device, the multi-sensor data fusion technology to the design, the use of adaptive weighted data fusion, control of well water spray, dust down while within the state.

Considering the limitations of traditional control methods on the steering control of intelligent car, such as insensitiveness in steering, a big large overshoot and oscillation, a new control approach is proposed in this work by utilizing the I/O data to detect the position deviation of the lane with the least square algorithm. In the sequel, an improved PID controller for the steering control is introduced to enhance the stability and response speed of the steering control system. As shown by the test results, the proposed approach is efficient to improve the adaptability and stability of the intelligent car, as well as the dynamic performance of the steering control system.