畢業(yè)設(shè)計(jì)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)-文庫吧資料
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【正文】 surement error is ℃ . The seven rest consistent sensor can be divided into two groups with sensor S1, S3, S7 in the first group and sensor S2, S4, S6, S8 in the second one. The arithmetical mean of the two groups of measured data and the standard deviation are as follows respectively: According to formula (13), we can educe the temperature fusion value with the seven measured temperature value. The error of the fusion temperature result is ℃ . It is obvious that the measurement result from data fusion is more close to the true value than that from arithmetical mean. In the practical application, the measured temperature value may be very dispersive as the monitoring area bees bigger, data fusion will improve the measuring precision much more obviously. 6. Conclusions The distributed temperature control system based on multisensor data fusion is constructed through CAN bus. It takes full advantage of the characteristics of field bus control systemFDCS. Data acquisition, data fusion and system controlling is carried out in the intelligent CAN node, and system management is implemented in the main controller (host PC). By using CAN bus and data fusion technology the reliability and realtime ability of the system is greatly improved. We are sure that it will be widely used in the future. References [1] Waltz E. Liinas J, Multisensor Data Fusion, Artech House, New York, 1990. [2] Philips Semiconductors, (1995b). ―P82C150: CAN serial linked I/O device (SLIO) with digital and analog port functions‖, preliminary Data Sheet, October 1995. [3] Aslam, J., Li, Q., Rus, D., Three poweraware routing algorithms for sensor works, Wireless Communications and Mobile Computing, –208, 2020. [4] , , Multisensor Integration and Fusion in Intelligent Systems, IEEE Trans. on Systems, Man, and Cyberics, Vol. 19, No. 5, September/October, 1989.. [5] Pau LF, Sensors data fusion, Journal of Intelligent and Robotic System, pp. 103106, 1998. [6] Thomopoulos S C., Sensor integration and data fusion, Journal of Robotic Systems, , 1990. [7] Rao B S Y, DurrantWhyte H F, Sheen J A, A fully decentralized multisensor system for tracking and surveillance, The International Journal of Robotics Research, Massachusetts Institute of Technology, Vol 12, No. 1, pp. 2044, Feb 1993. [8] Tenney R R, Jr sandell N R, Detection with distributed sensors, AES, Vol 17, , 1981 。 intelligent CAN node。 DISTRIBUTED TEMPERATURE CONTROL SYSTEM BASED ON MULTISENSOR DATA FUSION Abstract: 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 multisensor data fusion and CAN bus. A new method of multisensor data fusion based on parameter es
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