Development Of A Wine Brewage Monitoring System Based On Wireless Sensor Networks

The temperature monitoring systems used in wine brewage process have problem of low control accuracy and high maintenance cost which restricts the quality of the product.Investigation shows that central control systems with wired sensors which have relatively high level of automatism and accuracy are widely deployed for wine brewage workshops.The quality of wine may be lowered because of large temperature controlling deviation of the system which can reach ±2?.Meanwhile,the system's high complexity elongates the installation,reduces the system reliability and increases the difficulty of maintenance.The installation of temperature monitoring system with wired sensors involves a mass of cabling in the workshop for signal transmission.And the structural complexity of the brewage workshop may hamper the wiring process and obstruct the system upgrading and extension.Moreover,the high humidity caused by the cleaning process during which large amount of water was used on the floor and tank surface can easily cause system malfunction and consequently increase the cost of maintenance.This paper presents a wine fermentation control system based on Wireless Sensor Network(WSN)which transmit signals wirelessly and greatly reduced the cabling in the workshop.The deployment,upgrade and extension of the system takes less effort comparing with the wired system.The fuzzy adaptive Proportion Integration Differentiation(PID)algorithm and node failure diagnosis based on redundancy algorithm were applied to increase control accuracy and system reliability.The details of the paper are as follows:(1)The wine fermentation control system based on coils are analysed to establish the temperature control model while the transfer function of the liquid inside fermentation tank was obtained through measured data.(2)The fuzzy adaptive PID algorithm was applied for the time-varying fermentation system which has effectively improved the control accuracy and reduced the response time.(3)The data acquisition and transmission cycle was optimizes through the temperature control model to reduce the power consumption of the system.Meanwhile a heartbeat packet was sent for theinspection of the network stability.The system was generally designed to balance the energy consumption and stability.(4)The temperature signal was verified through the abundant data which was fed back from the adjustment valve.The failure inspection mechanism was established to check the jumping,blockage and shifting phenomenon of the sensor data to ensure its validity.This paper simulated the fuzzy adaptive PID control algorithm by MATLAB and tested the system in real-world situation.The control system was proved to be able to work under wine production circumstance properly.Meanwhile,the control accuracy of the system can reach ±0.5? which means that it can effectively improve the wine fermentation temperature control process and reduce the maintenance costs.