基于某多大数据融合传感器地分布式温度控制系统中英文对照论文

1、wordDISTRIBUTED TEMPERATURE CONTROL SYSTEM BASED ON MULTI-SENSOR DATA FUSIONAbstract: Temperature control system has been widely used over the past decades. In this paper, a general architecture of distributed temperature control system is put forward based on multi-sensor data fusion and CAN bus. A new method of multi-sensor data fusion based on parameter estimation is proposed for the distributed temperature control system. The major feature of the system is its generality, which is suitable f

2、or many fields of large scale temperature control. Experiment shows that this system possesses higher accuracy, reliability, good realtime characteristic and wide application prospectKeywords: Distributed control system; CAN bus; intelligent CAN node; multi-sensor data fusion.1. Introduction Distributed temperature control system has been widely used in our daily life and production, including intelligent building, greenhouse, constant temperature workshop, large and medium granary, depot, and s

3、o on1. This kind of system should ensure that the environment temperature can be kept between two predefined limits. In the conventional temperature measurement systems we build a network through RS-485 Bus using a single-chip metering system based on temperature sensors. With the aid of the network, we can carry out centralized monitoring and controlling. However, when the monitoring area is much more widespread and transmission distance bees farther, the disadvantages of RS-485 Bus bee more ob

4、vious. In this situation, the transmission and response speed bees lower, the anti-interference ability bees worse. Therefore, we should seek out a new munication method to solve the problems produced by RS-485 Bus.During all the munication manners, the industrial control-oriented field bus technology can ensure that we can break through the limitation of traditional point to point munication mode and build up a real distributed control and centralized management system. As a serial munication p

5、rotocol supporting distributed real-timecontrol, CAN bus has much more merits than RS-485 Bus, such as better error correction ability, better real-time ability, lower cost and so on. Presently, it has been extensively used in the implementation of distributed measurement and control domains. With the development of sensory technology, more and more systems begin to adopt multi-sensor data fusion technology to improve their performances. Multi-sensor data fusion is a kind of paradigm for integra

6、ting the data from multiple sources to synthesize the new information so that the whole is greater than the sum of its parts . And it is a critical task both in the contemporary and future systems which have distributed networks of low-cost, resource-constrained sensors2.Distributed architecture of the temperature control systemThe distributed architecture of the temperature control system is depicted in the Figure 1. As can be seen, the system consists of two modulesseveral intelligent CAN node

7、s 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. 31main controllerAs the systems 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 relationship

8、s between each part. Whats more, we can print or store the systems history temperature data, which is very useful for the analysis of the system performance3.2. Intelligent CAN node Each intelligent CAN node of the temperature control system includes five units: MCUa single chip, A/D conversion unit, temperature monitoring unitsensor group, digital display unit and actuatorsa cooling unit and a heating unit. The operating principle of the intelligent CAN node is described as follows. In the prac

9、tical 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

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