|本期目录/Table of Contents|

[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]
点击复制

基于传感器的工业仪表信号采集与处理技术研究(PDF)

《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.

参考文献/References:

[1]刘家乐,吴怀宇,陈志环.改进YOLOv3的工业指针式仪表检测方法[J].计算机工程与设计,2021,42(07):2001-2008.

[2]赵耀,霍雨佳,王军,等.核电厂安全级仪表在线监测系统技术研究[J].核动力工程,2021,42(02):183-187.
[3]张旸,吴琼,滕云田,等.激光干涉绝对重力仪数据采集与处理的时间优化方法[J].仪器仪表学报,2021,41(08):130-136.
[4]王宇,吴腾飞,周强,等.光频扫描干涉测距信号快速采集与处理方法[J].激光与光电子学进展,2023,60(01):146-155.
[5]王新强,胡峰,熊伟,等.基于空间外差的拉曼信号处理方法研究[J].光谱学与光谱分析,2022,42(01):93-98.
[6]杜光月,刘美丽,周蒙,等.基于多DS18B20传感器阵列的数据采集方法研究[J].电子器件,2023,46(01):16-21.
[7]张维星,党超群,张锁平,等.基于多传感器融合的波浪谱数据获取与传输方法研究[J].海洋与湖沼,2023,54(03):645-652.
[8]张韬,刘康,廖映华.基于EtherCAT协议的FMS多设备实时数据采集技术[J].机床与液压,2022,50(01):112-116.
[9]张合生,焦鹏,胡琪睿,等.基于Jaya优化标定的高精度数据采集方法[J].上海大学学报(自然科学版),2022,28(03):361-371.
[10]朱垲,宋欣,何建祥,等.基于小波降噪和自适应加权法的温室数据融合[J].江苏农业科学,2021,49(05):180-186.
[11]杨华芬,陈斌.大数据框架下基于改进自适应滤波算法的机械故障信号处理[J].机床与液压,2021,49(02):175-180.
[12]刘康,何明浩,韩俊,等.基于多传感器的雷达对抗侦察数据融合算法[J].系统工程与电子技术,2023,45(01):101-107.
[13]柴文浩,杨雅勋,张宇航,等.基于经验模态分解的预应力孔道缺陷信号分析[J].兰州大学学报(自然科学版),2023,59(01):129-135+142.
[14]于淼,张耀鲁,徐泽辰，等.基于MEEMD-HHT的分布式光纤振动传感系统信号特征提取方法[J].红外与激光工程,2021,50(07):207-218.
[15]谭光兴,王雨辰,符丹丹，等.基于中值滤波的SBW信号处理及控制策略[J].计算机仿真,2021,38(07):134-138.

相似文献/References:

[1]王志强.基于ZigBee技术的工业仪表无线数据采集系统设计[J].工业仪表与自动化装置,2015,(02):45.
　WANG Zhiqiang.Design of industrial instruments wireless data acquisition system based on ZigBee[J].Industrial Instrumentation & Automation,2015,(03):45.
[2]魏晓晴,周世忠,陶里,等.飞控传感器综合检测系统的研制[J].工业仪表与自动化装置,2017,(01):126.
　WeiXiaoqing,Zhou Shizhong,Tao Li,et al.Development of A Comprehensive Test System for Flight Control Sensors[J].Industrial Instrumentation & Automation,2017,(03):126.
[3]赵文仓,潘锦宇.基于神经网络的污水处理设备监测CPS设计[J].工业仪表与自动化装置,2017,(03):108.
　Zhao Wen-cang,Pan Jin-yu.Testing and monitoring CPS design of sewage treatment equipment based on artificial neural network[J].Industrial Instrumentation & Automation,2017,(03):108.
[4]张利民,邹益民.一种基于树莓派及Yeelink的温室控制实验装置[J].工业仪表与自动化装置,2017,(06):108.[doi:1000-0682（2017）06-0108-04]
　ZHANG Limin,ZOU Yimin.A design of greenhouse experimental control device monitored by Raspberry Pi and Yeelink platform[J].Industrial Instrumentation & Automation,2017,(03):108.[doi:1000-0682（2017）06-0108-04]
[5]贾永博.一种新型隧道空气质量智能监测控制系统[J].工业仪表与自动化装置,2018,(01):44.[doi:1000-0682（2018）01-0000-00]
　JIA Yongbo.A new intelligent monitoring and control system for tunnel air quality[J].Industrial Instrumentation & Automation,2018,(03):44.[doi:1000-0682（2018）01-0000-00]
[6]王 晶,胡立夫,王德生.基于nRF24L01的大气环境智能测试系统设计[J].工业仪表与自动化装置,2018,(02):81.[doi:1000-0682（2018）02-0000-00]
　WANG Jing,HU Lifu,WANG Desheng.A design of the atmosphere environment intelligent testing ystem based on nRF24L01[J].Industrial Instrumentation & Automation,2018,(03):81.[doi:1000-0682（2018）02-0000-00]
[7]赵 辉.锅炉物联网监测关键技术研究[J].工业仪表与自动化装置,2018,(03):35.[doi:1000-0682（2018）03-0000-00]
　ZHAO Hui.Research on key technologies of boiler IOT monitoring[J].Industrial Instrumentation & Automation,2018,(03):35.[doi:1000-0682（2018）03-0000-00]
[8]王 晶,文师华,刘星宇,等.防止儿童误锁车内报警系统的设计[J].工业仪表与自动化装置,2018,(04):34.[doi:1000-0682（2018）04-0000-00]
　WANG Jing,WEN Shihua,LIU Xingyu,et al.Design of alarm system for preventing children from being accidentally locked in the car[J].Industrial Instrumentation & Automation,2018,(03):34.[doi:1000-0682（2018）04-0000-00]
[9]杨 惠,邓兰兰,冯志翔.基于ZigBee车载传感器路由协议的改进[J].工业仪表与自动化装置,2018,(06):21.[doi:1000-0682（2018）06-0000-00]
　YANG Hui,DENG Lanlan,FENG Zhixiang.Improvement of routing protocol for vehicle sensor network based on ZigBee[J].Industrial Instrumentation & Automation,2018,(03):21.[doi:1000-0682（2018）06-0000-00]
[10]杨 龙.典型物质效应在传感器中的应用[J].工业仪表与自动化装置,2019,(02):18.[doi:1000-0682(2019)02-0000-00]
　YANG Long.Application of typical material effect in sensor[J].Industrial Instrumentation & Automation,2019,(03):18.[doi:1000-0682(2019)02-0000-00]

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