JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2019, Vol. 36 ›› Issue (6): 157-160.DOI: 10.11988/ckyyb.20171199

• INTERNET OF THINGS EQUIPMENT AND CLOUD PLATFORM TECHNOLOGY FORDAM SAFETY MONITORING • Previous Articles     Next Articles

Design and Implementation of Automatic Sensor Data Acquisition Device Based on Dual Microprocessor

ZHOU Fang-fang1,2,3, MAO Suo-ying1,2,3, HUANG Yue-wen1,2,3   

  1. 1.Engineering Safety and Disaster Prevention Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2.Research Center on Water Engineering Safety and Disaster Prevention of the Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    3. National Research Center on Dam Safety Engineering Technology, Yangtze River Scientific Research Institute, Wuhan 430010, China
  • Received:2017-10-18 Online:2019-06-01 Published:2019-06-12

Abstract: With the development of engineering monitoring technology, the acquisition device of simple features, single channel type and low automation degree has been unable to meet the demand of engineering monitoring system. In this paper an automatic sensor data acquisition device which is provided with manual comparison measurement and STM32F407VET6 as the core processor is designed for signal acquisition, data storage, and data transmission. Any channel of the acquisition device has access to vibrating wire sensor, differential resistance sensor,voltage sensor, current sensor, or digital signal type sensor.Moreover, the second microprocessor of manual comparison measurement module supports other reading instrument, manual comparison measurement, and real-time display of data. The proposed device improves the integrated and intelligent degree of the hardware system, and achieve automatic acquisition, storage, transmission and manual comparison measurement of multi-channel multiplex sensor signal.

Key words: microprocessor, automatic acquisition device, sensor, manual comparative measurement, vibrating wire sensor, differential resistance sensor

CLC Number: