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一种使用湿度传感器阵列和铂电阻加热器以及多传感器数据融合的探空仪。

A radiosonde using a humidity sensor array with a platinum resistance heater and multi-sensor data fusion.

机构信息

The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Technology & Communications Engineering, Harbin University of Science and Technology, Harbin, China.

出版信息

Sensors (Basel). 2013 Jul 12;13(7):8977-96. doi: 10.3390/s130708977.

Abstract

This paper describes the design and implementation of a radiosonde which can measure the meteorological temperature, humidity, pressure, and other atmospheric data. The system is composed of a CPU, microwave module, temperature sensor, pressure sensor and humidity sensor array. In order to effectively solve the humidity sensor condensation problem due to the low temperatures in the high altitude environment, a capacitive humidity sensor including four humidity sensors to collect meteorological humidity and a platinum resistance heater was developed using micro-electro-mechanical-system (MEMS) technology. A platinum resistance wire with 99.999% purity and 0.023 mm in diameter was used to obtain the meteorological temperature. A multi-sensor data fusion technique was applied to process the atmospheric data. Static and dynamic experimental results show that the designed humidity sensor with platinum resistance heater can effectively tackle the sensor condensation problem, shorten response times and enhance sensitivity. The humidity sensor array can improve measurement accuracy and obtain a reliable initial meteorological humidity data, while the multi-sensor data fusion technique eliminates the uncertainty in the measurement. The radiosonde can accurately reflect the meteorological changes.

摘要

本文描述了一种可测量气象温度、湿度、压力等大气数据的探空仪的设计与实现。该系统由 CPU、微波模块、温度传感器、压力传感器和湿度传感器阵列组成。为有效解决高空环境低温下湿度传感器结露问题,采用微机电系统(MEMS)技术研制了包含四个湿度传感器的电容式湿度传感器及铂热电阻加热器。使用 99.999%纯度、直径 0.023mm 的铂电阻丝获取气象温度。应用多传感器数据融合技术处理大气数据。静态和动态实验结果表明,设计的带铂热电阻加热器的湿度传感器能有效解决传感器结露问题,缩短响应时间,提高灵敏度。湿度传感器阵列可提高测量精度,获取可靠的初始气象湿度数据,而多传感器数据融合技术可消除测量中的不确定性。探空仪能准确反映气象变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9952/3758632/7b8c3ec3224f/sensors-13-08977f1.jpg

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