Abstract
It is important to study on environmental monitoring and control of greenhouse and improve agriculture facilities. The mathematics model of environment temperature is established based on the fuzzy control theory which deals with the problems of traditional greenhouse, such as outdated management, high cost, low-level, etc. automatically. The system detects the environment parameters based on PCI-DAQ data acquisition system, and adjusts the air blower rotate speed by frequency converter. It is used to run in real environment, the original environment temperature is 30°C, the given value is 27°C, and the range is within ±0.5 °C. The system controls the temperature parameter real-timely based on fuzzy control technology. Compared with the traditional PID control system, it can increase the stability of system, avoid the subjectivity and random of manual operation, and improve precision and efficiency of the whole system. The system has high practical value and using prospect since it meets the request of scientific producing and automatic management of greenhouse.
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References
Yang, S., Chen, K., Mao, Z., et al.: Air-conditioner Ventilator Performance Automatic Testing System. Fluid Machinery 29(2), 9–12 (2001)
Chen, S., Hu, Y.: Application of singlechip Colliery automatizition. Colliery Automation (1), 24–25 (2000)
Zhang, S., Lu, M., Zhang, W., et al.: Computer aided fan performance testing system. Fan Blower Compressor Technology (1), 37–40 (2001)
Jia, Z., Song, L., Guo, L.: The actual state and characteristics of virtual instrument. Instrumentation Technology (5), 40–41 (2002)
Truchard, J.: The future of virtual instrumentation. Measurement & control technology 29(1), 1–2 (2002)
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© 2011 Springer-Verlag Berlin Heidelberg
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Jianxin, W., Meili, S. (2011). Greenhouse Temperature Control Strategy Based on Fuzzy Algorithm. In: Jiang, L. (eds) Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25188-7_46
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DOI: https://doi.org/10.1007/978-3-642-25188-7_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25187-0
Online ISBN: 978-3-642-25188-7
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