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The Satellite Sensor Data Service uses a spread spectrum technology, which is optimized to enable the reliable receipt of large numbers of simultaneous transmissions from multiple users in a distributed sensor network. The system consists of a field device containing a modem, the satellite relay system, network data processing equipment, a view data portal, and a data analysis tool. The process unfolds as follows: 1. A one-way message containing the GPS location and sensor data is sent from a field device to the low-earth-orbit satellite network. The field device sends multiple messages to increase the reliability of message receipt to 99.99 percent or higher with correct installation in the coverage area. 2. The bent-pipe satellite relays messages to a ground station equipped with a Satellite Sensor Data Service decoder. Redundant messages are filtered and the customer only pays for the first message received. The message is decoded and forwarded to the Asset-View data portal. 3. Message data is made available to the end user via the Internet, voicemail, e-mail, or text. Satelite Link of Global Network transmitting data of businesses and individuals, Fig. 4.20. The coverage area of the message data is illustrated in Fig. 4.21.
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FIGURE 4.20 Global network data ow.
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FIGURE 4.21 Map indicates areas of potential coverage only. Actual availability in any particular country may be subject to government veri cation.
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Ames, J. G., Which Network Is the Right One, Manufacturing Engineering, 56, May 1988. Borggraaf, P., Semiconductor Factory Automation: Current Theories, Semiconductor International, 88, October 1985. Bux, W., Local Area Subnetworks: A Performance Comparison, IEEE Trans. Communications, COM-29(10):1465 (1981). Campbell, J., The RS-232 Solution, Sybex, Inc., Alameda, Ca., 1984. Kaminski, A. M., Jr., Protocols for Communicating in the Factory, IEEE Spectrum, 65, April 1986.
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Kleinrock, L., and S. S. Lam, Packet Switching in a Multiaccess Broadcast Channel: Performance Evaluation, IEEE Trans. Communications, COM-23(4):410 (1975). Metcalfe, R. M., and D. R. Boggs, Ethernet: Distributed Packet-Switching for Local Computer Networks, Communications of the ACM, 19:395 (1976). Shock, J. F., and J. A. Hupp, Measured Performance of an Ethernet Local Network, Communications of the ACM, 23:711 (1980). Tanenbaum, A. S., Computer Networks, 2d ed., Prentice-Hall, Englewood Cliffs, N.J., 1988. Talvage, J., and R. G. Hannam, Flexible Manufacturing Systems in Practice: Application Design and Simulation, Marcel Decker, New York, 1988. Support for The Manufacturing Floor, Manufacturing Engineering, 29 30, March 1989. Vollmann, T. E., W. L. Berry, and D. C. Whyback, Manufacturing Planning and Control Systems, Richard D. Irwin, Homewood, Ill., 1984. Voelcker, J., Helping Computers Communicate, IEEE Spectrum, 61, March 1986. Warndorf, P. R., and M. E. Merchant, Development and Future Trends in Computer Integrated Manufacturing in the USA, International Journal in Technology Management, 1(1 2):162 (1986). Wick, C., Advances in Machining Centers, Manufacturing Engineering, 24, October 1987. Wittry, E. J., Managing Information Systems: An International Approach, Society of Manufacturing Engineers, Dearborn, Mich., 1987.
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CHAPTER
The Role of Sensors and Control Technology in ComputerIntegrated Manufacturing
5.1 Introduction
According to various studies conducted in the United States, nearly 50 percent of the productivity increase during the period 1950 1990 was due to technological innovation. That is, the increase was due to the introduction of high-value-added products and more efficient manufacturing processes, which in turn have caused the United States to enjoy one of the highest living standards in the world. However, unless the United States continues to lead in technological innovation, the relative living standard of the country will decline over the long term. This clearly means that the United States has to invest more in research and development, promote scientific education, and create incentives for technological innovation. In the R&D arena, the United States has been lagging behind other nations: about 1.9 percent of the U.S. gross national product (GNP) (versus about 2.6 percent of the GNP in Japan and West Germany) goes for R&D. The introduction of the computer-integrated manufacturing (CIM) strategy in U.S. industry has begun to provide a successful flow of communication,
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