矿用对射式风速风向传感器设计
Design of mine opposed wind speed and direction sensor
安赛 1赵忠辉 1张浪 1李伟 1彭然1
作者信息
- 1. 煤炭科学技术研究院有限公司,北京,100013;煤科通安(北京) 智控科技有限公司,北京 100013;北京市煤矿安全工程技术研究中心,北京 100013;煤炭智能开采与岩层控制全国重点实验室,北京 100013
- 折叠
摘要
针对目前风速传感器启动风速高、设计方案复杂、无法准确测量巷道整个断面平均风速的问题,基于超声波对射式测风原理,设计了以STM32为核心的矿用对射式风速风向传感器,介绍了传感器总体结构、收发电路设计、滤波算法及软件流程.该传感器改变了以点带面的测风方式,通过大距离(5～12 m)超声测风技术测量巷道中线风速,以该风速代表整个巷道的平均风速,提高了巷道风速测量的准确性和实时性.依据设计方案研发了测试样机,在环形风洞中的测试结果表明,该传感器测量值与风速标准值在 0.1～15 m/s内具有较好的一致性,测量误差小于0.1 m/s,能够满足智能化矿井对巷道风速测量精度的要求.
Abstract
In response to the current problems of high startup wind speed,complex design schemes,and inability to accurately measure the average wind speed of the entire section of the roadway using wind speed sensors,based on the principle of ultrasonic opposed wind measurement,a mine opposed wind speed and direction sensor with STM32 as the core is designed.The overall structure of the sensor,the design of the transmitting and receiving circuit,the filtering algorithm,and the software process are introduced.This sensor has changed the wind measurement method from point to surface,using a single ARM core and measuring the wind speed at the centerline of the roadway through long-distance(5-12 m)ultrasonic wind measurement technology.This wind speed represents the average wind speed of the entire roadway.It greatly improves the accuracy and real-time performance of roadway wind speed measurement.A test prototype is developed based on the design scheme,and the test results in a circular wind tunnel show that the measured values of the sensor has good consistency with the standard wind speed values in the range of 0.1-15 m/s,with a measurement error of less than 0.1 m/s.It can meet the precision requirements of intelligent mines for roadway wind speed measurement.
关键词
智能化通风/风速风向传感器/巷道断面风速/超声波测风/对射式测风/巷道中线风速Key words
intelligent ventilation/wind speed and direction sensor/wind speed at the cross-section of the roadway/ultrasonic wind measurement/opposed wind measurement/wind speed at the centerline of the roadway引用本文复制引用
基金项目
国家自然科学基金重点项目(52130409)
煤科院技术创新基金(2022CX-I-10)
煤科院技术创新基金(2023CX-Ⅱ-15)
出版年
2024
国家科技期刊平台
NSTL
万方数据