Study On Data Analysis Platform Of Northern Sunlight Greenhouse’s Monitor And Control System

The proportion of agriculture economy is increasing in the national year by year. The proportion of investment to agricultural economy in our country is becoming more and more high. Realizing agricultural modernization has stepped onto the road. Solar greenhouse’s design is based on the climate characteristics northern China:high latitude in north of China, located in the north temperate zone, the winter climate dry and cold climate characteristics, solar greenhouse has extensive absorb solar energy, low cost, simple structure, keeping sufficient absorb solar energy, good insulation and heat storage function. Environment control of sunlight greenhouse is an important link in relation to crops. With the progress of science and technology, solar greenhouse is gradually widely spread in the countryside. Improving environmental monitoring accuracy effectively has become the indispensable important direction in research topic of the sunlight greenhouse in the north,The research presents the hardware design of greenhouse environment monitoring system. It relies on the actual situation of sunlight greenhouse production as the starting point and small cost of construction, to choose the most suitable sensor types greenhouses. At the same time, considering the practicability, the study makes the complexity of the design of the system to a minimum. Moreover, the research makes reasonable choose and arrange of sensors, clarifies the communication protocol of data transmission, describes the data transmission network. The research is able to satisfy the requirement of the greenhouse environment monitoring, the design realizes real-time monitoring of greenhouse environment factors.The monitoring data gathered from the wireless sensor has larger redundancy and error, which affect the data reliability. Similarly, the requirements for the data accuracy in the collected monitoring and controlling are very high because of the greenhouse environment with many characteristics such as big space and the distributed warm field affected by the variety of parameters to effect on the reliability of data. To realize the northern sunlight greenhouse real-time data fusion and enhance the real-time data precision, this study takes an example of the real-time data of the sunlight greenhouse of Bei Mountain in Shenyang Agricultural University as the testing site to propose a kind of data fusion method which real-timely collected the greenhouse data by the way of the wireless sensor. The paper utilizes the Grubbs criterion for data preprocessing and application of the adaptive weighted algorithm for the data fusion to do the data fusion experiment. In the meanwhile, this research for the environment of the northern sunlight greenhouse takes advantage of wireless-sensor multi-data fusion method to overcome the uncertainty and instability of each sensor gathering information for respectively processing. The results through fusion processing could improve the monitoring precision in the greenhouse environment, and it could not only describes the real-time greenhouse environment, but also provides more accurate basic data for the greenhouse environment controlling, which made the prime parameters such as temperature, humidity, light intensity to reach the relative ideal condition. Finally, the paper summarizes the research design of this paper, puts forward the prospect of the future, makes the idea to improve the system in further, and also puts forward research direction of the further.