Development Of Intelligent Monitoring System Of Aquaculture Environment

In recent years, the domestic aquaculture industry develops fast in our country. Aquatic products not only make the whole country achieve self-sufficiency but also are exported to overseas in great number. However, traditional aquaculture industry still has many problems. Traditional manual monitoring not only wastes a large amount of manpower and material resources, but also makes collected data error. Users cannot make a correct judgement to the change of water quality, which largely constrains the development of the industry. With the gradual development of mature technology, wireless sensor network technology is widely used to various industries and businesses, which applies new solutions for the aquaculture environment water quality monitoring. So how to make better use of the wireless sensor network technology to monitor aquaculture industry now is received widespread attention. Now it is a hot issue.This dissertation relies on the Key Technology R&D Program of Institute of Sensor Technology. GanSu Academy of sciences: aquacultural water environment monitoring system based on wireless sensor network. After the detailed elaboration of aquaculture study at home and abroad, based on wireless sensor network, the aquaculture environment monitoring system is studied to deal with the problems in traditional aquaculture environment monitoring, such as big error, monitoring not in time and cosing a lot. This dissertation mainly researches the following contents:(1) About the design of hardware circuit, core board, sensor conditioning module, power module, communication module and related interface are designed. Microprocessor module and RF transceiver module are designed based on the CC2530 chip as the master chip. Conditioning circuit is designed according to the output characteristics of different sensors. 9V battery power is supplied to the node. 9V voltage stabilizing circuit, buck circuit and reverse circuit are designed, anti interference treatment is adopted. Power management module is designed and every sensor is adopted independent power supply to lengthen the using time of sensors. According to the different module to partition PCB, reduce the interference between various modules and the outside world.(2) PH sensor and dissolved oxygen sensor are easily affected by temperature, so theory is combined with the actual test environment to improve the accuracy of measurement. First the minimum square method is used to compensate the temperature sensor calibration. Then, temperature compensation calibration models are established for PH sensor and dissolved oxygen sensor.(3) Application softwares, such as coordination node, routing node and terminal node are designed.Simulated data that are outputed by sensors are transfered to digital data through A/D conversion program. Voltage of every sensor is managered independently through simulating switch program. LabVIEW is adopted to monitoring central softwares. Collected from every terminal nodes from different regions water quality parameter is monitored in real time in the form of charts. Abnormal data are given early warning. Early warning massages are delivered to users through DTU module.The aquaculture environment intelligent monitoring system can not only automatically collect water quality parameters, such as temperature, PH value, dissolved oxygen and turbidity, but also transfer data in time to make data monitor accurate, timely and simple. Tests show that the relative error of temperature is ±0.1℃, the relative error of PH value is ±0.04, the relative error of dissolved oxygen is ±0.1mg/L, the relative error of turbidity is ±0.1NTU, which accords with the requirement of water quality monitoring. The system hardware can be widely applied to aquaculture because of easy use, low cost, sending data timely and accurately, good self-organization and self-treatment ability, having high real meaning and using value.