The Research On Water Quality Remote Control System Of Eriocheir Sinensis Based On IOT

Eriocheir sinensis is a common crab, commonly known as "crab" 、 "Chinese mitten crab" and is ordinary food on the table. Its foot on the multi villi, so called the velvet crab, the body is rich in vitamin A, has the effect of calcium supplement, is a high value of freshwater cultured species. With the people’s quality of life and improve food safety problems have become increasingly prominent, traditional breeding aquatic products not only time-consuming and cannot be effectively solve food quality and food information traceability problem, so more and more scholars began to focus on Intelligent aquaculture. In recent years, sensors, the Internet, big data and cloud computing science and technology have made great achievements, which can be a reasonable application of the Internet of things technology will effectively solve Chinese mitten crab, and other food, food quality problems and information back. The key of aquaculture is raising water and the growth of aquatic products development is largely due to excellent water quality of the environment, so the water quality of the environment control directly influence to the water quality of the products quality and farmers economic benefits. Water temperature, dissolved oxygen, water, light and other factors directly affect the metamorphosis and reproduction of the crab. According to the aquaculture expert experience and related literature to obtain the water environment requirements, combined with networking technology, the design of Chinese mitten crab water quality remote control system based on the Internet of things, and in the implementation, a breeding base in Shanghai city of Chongming, part of the sensor selection Thermor multifunction sensor, set up by Zigbee wireless sensor network, the main control processor using S3C2440 chip, using GPRS DTU data transmission module and WIFI module to complete the data transmission network via the TCP/IP communication protocol Socket on the remote server, then for data forwarding, the final completion of the control of the water temperature, dissolved oxygen, water, light and other important parameters monitoring and the water level, aeration, feeding, farmers can be completed through the web remote access to the monitoring data, video monitoring system, compared with the traditional Aquaculture, with smaller human costs, greater market competitiveness, more robust consumer and business trust.Due to the poor ability of hypoxia resistance of Chinese mitten crab, Eriocheir sinensis, lower the amount of dissolved oxygen in the water will inhibition and even lead to death crab and so on crab pond dissolved oxygen monitoring and control is very important to its feeding, shelling, metamorphosis. In order to ensure that the crab’s healthy growth and farmers of the basic interests and the aerator control strategy was improved improved the most intelligent aquaculture using conventional PID control and fuzzy PID control, using based on RBF neural network fuzzy(fuzzy neural PID control strategy of intelligent oxygen, to make up for the conventional PID control and fuzzy PID control response speed and accuracy. Through on-site verification based on Fuzzy RBF Fuzzy RBF neural network PID control strategy can be better applied to the aquaculture of Chinese Mitten Crab Eriocheir sinensis for oxygen control process, real-time, accurate, quickly completed the amount of dissolved oxygen control, meet the needs of the crab to the oxygen content, improve the living environment of the crab, so as to ensure the quality of deduction crab breeding.Usually, the energy of sensor node is limited, after a long time of energy consumption, nodes death prone, and death sensor node also has a direct impact on the comprehensive effect of communication and data acquisition, and even lead to paralysis of the sensor network. Therefore, the use of mobile sensor nodes to make up for the death node brings the network empty into the one of the main direction of the wireless sensor network research. Among them, many scholars have put forward the sensor node coverage optimization method, but most of the research is limited to all the sensor nodes are still the situation, do not meet the application of some network environment. In this paper, the principle of maximum coverage and energy balance are considered, and the model analysis is carried out to obtain a better solution for the mobile sensor scheduling problem. Based on genetic algorithm crossover behavior and mutation behaviors of artificial fish swarm algorithm was improved, through the MATLAB simulation test, the optimized genetic algorithm artificial fish swarm enable artificial fish swarm of global search ability to get greater improvement and convergence speed of the algorithm at the end of the.Finally, in order to allow farmers to better experience, in this paper has been previously implemented system architecture based on design Android mobile terminal monitoring application, users can more convenient more intuitive browsing to want to see the water quality data and more rapid completion of the remote control of the control equipment.