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畢業(yè)設計外文翻譯----基于多數(shù)據(jù)融合傳感器的分布式溫度控制系統(tǒng)-在線瀏覽

2025-07-30 23:20本頁面
  

【正文】 人們認為每個傳感器在溫度控制系統(tǒng)的溫度測量所得獨立。所以我們在每個 CAN 節(jié)點同一時刻能獲得 8 個溫度值。我們定義 TM為: 上四位數(shù) —— Fv 是區(qū)間 [TM, T8]的中值,低四位數(shù) —— Fl 是區(qū)間 [T1, TM]的中值,這四位數(shù)的離散是: 。在數(shù)列中其余的測量值都被看作是于有效值一致的。 5. 溫度測量的數(shù)據(jù)融合的舉例 分布式溫度控制系統(tǒng)運用于一間溫室 , 我們從 8 個溫度傳感器獲得一組 8個溫度值如下 八個溫度測量值的結果 把在這溫室中的八個溫度的平均值和真實的溫度值做比較,我們可以知道測量誤差是 + ℃。兩組測量數(shù)據(jù)的算術平均和標準偏差分別如下: 根據(jù)公式 (13), 我們可以用七個測量溫度確定溫度融合值。 很明顯 ,數(shù)據(jù) 融合測量結果比算術的平均值更接近于實際值。 這 基于多數(shù)據(jù)融合傳感器的分布式溫度控制系統(tǒng)是通過 CAN 總線構建。數(shù)據(jù)采集,數(shù)據(jù)融合,系統(tǒng)控制用智能 CAN 節(jié)點得到實現(xiàn),而系統(tǒng)管理通過主控制器( host PC)被實現(xiàn)。我們確定它在將來會得到廣泛的應用。 CAN bus。 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.
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