Pocket Mechanical Environment Monitoring System Based On ZigBee Network

The high standards of industrialization products demand that a mechanical driven system needs to be more complicated and precise. So at present the quality of a mechanical driven system must be better than ever: multi-objective and real-time monitoring. At the same time, due to the disqualification of materials, design or quality controlling, mechanical equipment may have some problems such as internal injury. These problems may cause disasters. So it is significant to research how to design a monitoring system in the environment of automated driven devices. The research of how to design a good monitoring system will be very helpful to cut down the accident rate and will guarantee the safety of people and property.Firstly, the traditional monitoring system generally is very heavy and cumbersome. And gernerally a traditional monitoring interface is in a laptop or a dedicated monitor. These are not convenient. To avoid these disadvantages, the monitoring system in this paperuses new monitoring interface based on Android embedded system. Meanwhile using this new monitoring interface can save the cost. And it is convenient because people can monitor the situation by using their own Android phone, tablet PC or any Android devices. Secondly, the traditional monitoring devices often detect one single machine. To improve this and to save more energy, this new system constructs a wireless network based on an open source protocol stack of Zig Bee. But during the detection, the size of data is very huge and the mechanical environment may jam the signal. So this system adoptsan improved SDT(Swinging Door Trend) algorithm based on predicting the kurtosis of shocking data by ARMA(Auto Regressive and Moving Average) algorithm. This new algorithm can compress real-time data and at the same time guarantee the fluency and veracity. Of course, every network node of this system can storage raw data of hundred hours, which is very useful for analyzing the mechanical failures.In the respect of processor, this system uses a kind of chip which is based on Cortex-M3.It is a processor core of ARM architecture. Meanwhile, this system used a co-processor to compress data. This co-processor is a member of C5000? fixed-point DSP(Digital Signal Processor) product family of Texas Instruments. In the respect of collecting data, the network node can collect and storagefour types of data, including shaking, temperature, rotational speed and acceleration. In the respect of constructing a wireless network, this system uses a wireless transmission chip called AT86FR212. And this system transplants an open source protocol stack based on Zig Bee and an embedded real time operating system called Contiki. Theprotocoal stack is called FreakZ. Meanwhile its capability of processing is improved in this system. In the respect of communication with display devices, the network coordinator has a minisizeWi-Fi module. Android devices can connect to a network coordinator via this module.According to above requirements, a new multi-objective monitoring and wireless system is developed, which is also pocketsize, high-reliability and low costing. This system proves strong evidence to analyze mechanical failures.