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作者:

Zhang, Wenjing (Zhang, Wenjing.) | Liu, Pengyu (Liu, Pengyu.) | Jia, Kebin (Jia, Kebin.) (学者:贾克斌)

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EI

摘要:

Develop high-precision air pressure monitoring sensors for upperair meteorological detection, break through cost control and adaptability to upper-air environment, and form products with independent intellectual property rights and stable and reliable quality. For its slow collection speed, need manual operation, can not be automatically collected. An automatic data acquisition system is designed for the new upper-air meteorological sensor. Because the sensor is controlled by two variables, pressure and temperature, a single variable method is adopted to measure the pressure characteristics at each temperature point. Each sensor number obtained first and create the corresponding data table, on the basis of setting the current temperature of constant temperature trough, and according to the requirements set step to determine the temperature characteristic points, after waiting for its stability, and according to the requirements set pressure feature points, judge stability after collecting data, the machine according to the communication protocol parsing, get the final accurate measuring data and deposited in the database. In order to test the effectiveness of the system, a serial port assistant is used for simulation. The results show that the acquisition system can automatically collect data of weather sounding sensor without manual operation. The acquisition speed is fast and the efficiency is high, which greatly reduces the manual operation. Therefore, it has strong operational significance and is worth popularizing. © 2019 Association for Computing Machinery.

关键词:

Atmospheric pressure Data acquisition Data reduction Digital storage Intellectual property Laws and legislation Network protocols Pattern recognition Quality control

作者机构:

  • [ 1 ] [Zhang, Wenjing]Beijing University of Technology, Faculty of Information Technology, Beijing Laboratory of Advanced Information Networks, 100124, China
  • [ 2 ] [Liu, Pengyu]Beijing University of Technology, Faculty of Information Technology, Beijing Laboratory of Advanced Information Networks, 100124, China
  • [ 3 ] [Jia, Kebin]Beijing University of Technology, Faculty of Information Technology, Beijing Laboratory of Advanced Information Networks, 100124, China

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年份: 2019

页码: 65-69

语种: 英文

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SCOPUS被引频次: 1

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