[1]张 琳.基于传感器的工业仪表信号采集与处理技术研究[J].工业仪表与自动化装置,2024,(03):111-116.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.020]
　ZHANG Lin.Research on sensor based signal acquisition and processing technology for industrial instruments[J].Industrial Instrumentation & Automation,2024,(03):111-116.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.020]
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基于传感器的工业仪表信号采集与处理技术研究()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2024年03期
页码:
111-116
栏目:
出版日期:
2024-06-15

文章信息/Info

Title:
Research on sensor based signal acquisition and processing technology for industrial instruments
文章编号:
1000-0682（2024）03-0111-06
作者:
张 琳
（广西壮族自治区特种设备检验研究院，广西 南宁 530299）
Author(s):
ZHANG Lin
(Guangxi Special Equipment Inspection and Research Institute，Guangxi Nanning 530299, China)
关键词:
传感器; 工业仪表; 信号采集; 信号处理技术; 信号融合; 信号分析
Keywords:
sensor;  industrial instruments;  signal acquisition;  signal processing technology;  signal fusion;  signal analysis
分类号:
TP311
DOI:
DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.020
文献标志码:
A
摘要:
面对工业仪表信号的非平稳性，研究基于传感器的工业仪表信号采集与处理技术，提升工业仪表信号采集与处理能力。通过多传感器采集工业仪表信号，采用改进自适应融合算法融合多传感器采集的工业仪表信号；通过希尔伯特-黄变换方法分析融合后传感器的工业仪表信号，利用经验模态分解工业仪表信号为多个IMF分量，对每个分量实施Hilbert变换后，得出Hilbert边际谱与Hilbert谱，实现工业仪表信号采集与处理。实验结果表明：该方法传感器的灵敏度均高于0.9（v/℃），具有高灵敏度的传感器能够更准确地感知和测量工业仪表物理量的变化.该方法的测量平均误差均低于0.42%，符合工业仪表信号采集和处理的需求，提升工业仪表信号采集与处理能力。
Abstract:
In the face of the non-stationary nature of industrial instrument signals, research on sensor based industrial instrument signal acquisition and processing technology is needed to enhance the signal acquisition and processing capabilities of industrial instruments. By collecting industrial instrument signals through multiple sensors, an improved adaptive fusion algorithm is used to fuse the industrial instrument signals collected by multiple sensors; By analyzing the industrial instrument signal of the fused sensor using the Hilbert Huang transform method, the industrial instrument signal is decomposed into multiple IMF components using empirical mode decomposition. After implementing the Hilbert transform on each component, the Hilbert marginal spectrum and Hilbert spectrum are obtained, achieving the acquisition and processing of industrial instrument signals. The experimental results show that the sensitivity of the sensors in this method is higher than 0.9 (v/℃), and sensors with high sensitivity can more accurately perceive and measure changes in physical quantities of industrial instruments; The average measurement error of this method is less than 0.42%, which meets the requirements of industrial instrument signal acquisition and processing, and improves the ability of industrial instrument signal acquisition and processing.

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备注/Memo

备注/Memo:
收稿日期：2023-12-27基金项目：广西壮族自治区科技厅科技计划项目—检验检测科技服务业集聚区特种设备公共服务平台建设（AD21238035）第一作者：张琳（1979—），女，黑龙江牡丹江人，汉族，硕士，高级教师，主要从事特种设备检验研究。
更新日期/Last Update: 1900-01-01