毕业设计外文翻译----基于多数据融合传感器的分布式温度控制系统(编辑修改稿)内容摘要:
ask both in the contemporary and future systems which have distributed works of lowcost, resourceconstrained sensors 2. Distributed architecture of the temperature control system The distributed architecture of the temperature control system is depicted in the Figure 1. As can be seen, the system consists of two modules—several intelligent CAN nodes and a main controller. They are interconnected with each other through CAN bus. Each module performs its part into the distributed architecture. The following is a brief description of each module in the architecture. 3. 1main controller As the system’s main controller, the host PC can municate with the intelligent CAN nodes. It is devoted to supervise and control the whole system, such as system configuration, displaying running condition, parameter initialization and harmonizing the relationships between each part. What’s more, we can print or store the system’s history temperature data, which is very useful for the analysis of the system performance . Intelligent CAN node Each intelligent CAN node of the temperature control system includes five units: MCU—a single chip, A/D conversion unit, temperature monitoring unit—sensor group, digital display unit and actuators—a cooling unit and a heating unit. The operating principle of the intelligent CAN node is described as follows. In the practical application, we divide the region of the control objective into many cells, and lay the intelligent CAN nodes in some of the typical cells. In each node, MCU collects temperature data from the temperature measurement sensor groups with the aid of the A/D conversion unit. Simultaneously, it performs basic data fusion algorithms to obtain a fusion value which is more close to the real one. And the digital display unit displays the fusing result of the node timely, so we can understand the environment temperature in every control cell separately. By paring the fusion value with the set one by the main controller, the intelligent CAN node can implement the degenerative feedback control of each cell through enabling the corresponding heating or cooling devices. If the fusion result is bigger than the set value in the special intelligent CAN node, the cooling unit will begin to work. On the contrary, if the fusion result is less than the set value in the node the heating unit will begin to work. By this means we can not only monitor the environment temperature, but also can make the corresponding actuator work so as to regulate the temperature automatically. At the same time every CAN node is able to send data frame to the CAN bus which will notify the main controller the temperature value in the cell so that controller can conveniently make decisions to modify the parameter or not. Since the CAN nodes can regulate the temperature of the cell where they are, the temperature in the whole r。毕业设计外文翻译----基于多数据融合传感器的分布式温度控制系统(编辑修改稿)
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