【正文】
multisensor 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 so on[1]. 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 work through RS485 Bus using a singlechip metering system based on temperature sensors. With the aid of the work, 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 RS485 Bus bee more obvious. In this situation, the transmission and response speed bees lower, the antiinterference ability bees worse. Therefore, we should seek out a new munication method to solve the problems produced by RS485 Bus. During all the munication manners, the industrial controloriented 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 protocol supporting distributed realtime control, CAN bus has much more merits than RS485 Bus, such as better error correction ability, better realtime 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 multisensor data fusion technology to improve their performances. Multisensor data fusion is a kind of paradigm for integrating the data from multiple sources to synthesize the new information so that the whole is greater than the sum of its parts [3][4][5]. And it is a critical task 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, whic