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The Research of Remote Monitoring System of Grape Greenhouse Based on ZigBee Technology

Author: ZhouHongWei
Tutor: ChouRunHe
School: Donghua University
Course: Signal and Information Processing
Keywords: The internet of things Agriculture monitoring ZigBee TRAC Solar cells Dataacquisition LabVIEW
CLC: S628
Type: Master's thesis
Year: 2014
Downloads: 152
Quote: 0
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Abstract

Agriculture has been the lifeblood of economic development in a country since the ancient time. Its development is directly related to the stability and prosperity of the society. As the development of the Internet of things, the combination of agriculture and the Internet of things is not only promote the development of the agricultural information technology in China, and has led a group of related industrial chain. The agricultural monitoring system based on the Internet of things is the new direction of the agricultural planting, management and development. The key technology of ZigBee as IOT network layer plays an important role. It timely adjusts soil conditions and environmental parameters based on crops growth habit. It has changed the traditional agriculture planting drawback which relys upon the environment and adjusted the structure of agriculture. It has also obtained the considerable economic and social benefits.The necessary elements for the growth of crops (temperature, humidity, light, moisture and carbon dioxide concentrations, etc) are monitored and adjusted in real-time by the remote agriculture monitoring System which based on ZigBee technology. The system adjusts the environment to fit the best condition of crop fertility. In this paper, we monitor the grape planting greenhouses in Bacheng of kunshan by technology based on ZigBee technology in a remote intelligent way. It uses the wireless sensor network based on ZigBee technology to gather the environmental temperature and humidity of grape planting greenhouse, soil temperature and sunshine cross section of the greenhouse. The system needs to satisfy the performance index on the premise of meet the functional requirements. In order to evaluate the situation of using solar in Bacheng, we also design the remote monitoring system of solar cells working state. It can provide the reference of distributed power supply using solar energy for the future. In the original fine planting mode we introduced into the remote monitoring Internet system to upgrade the existing planting patterns for secondary, enhancing the added value of the agricultural production and reduce the greenhouse management work. System gathers crop growth cycle environmental data to use the expert system and artificial analysis.At first, this paper puts forward a set of low-cost grapes greenhouse monitoring nodes based on PIC16F690microcontroller and ZigBee technology. The node can continuously monitor the environment temperature and humidity, soil temperature in grape greenhouse. Its transmission based on ZigBee passthrough agreement, it can make the monitoring process simple, convenient and fast. In order to overcome the distance too far, multipath effect on the formation of grape leaves and interference of band wireless all round, system use directional antenna which forms space partition to optimization. We design TRAC sunlight collection system which based on the programmable chip to capture sunshine cross section. It can send the data to the PC by ZigBee in real-time or written to the U disk according to the user’s intention. We use double photocells sampling and gyroscope to balance the speed difference, it is differ from previous ones. Finally, in order to monitor solar cells’ work in the outdoor environment and provide the users with assessment data of solar energy supply for a long time, we use PIC16F877and Lab VIEW to design the collection and monitoring system. The system uses the resistance matrix to scan V-I curve, and it also monitors the environmental temperature, humidity and panels’ surface temperature. Above systems are completed the projecting designs and prototypes, and have set up in the grape greenhouses. The results show that they are stable and reliable, and can be used as an effective means of remote intelligent monitoring in grape planting greenhouses.

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