Research on Remote Monitoring and Fault Diagnosis Technology of Numerical Control Machine

Based on the internet technology,it has become possible to complete remote monitoring and fault diagnosis for the numerical control machine.In order to capture the micro-shock signal induced by the incipient fault on the rotating parts,the reso- nance demodulation technology is utilized in the system.As a subsystem of the remote monitoring system,the embedded data acquisi- tion instrument not only integrates the demodulation board but also complete the collection and preprocess of monitoring data from different machines.Furthermore,through connecting to the internet,the data can be transferred to the remote diagnosis center and data reading and writing function can be finished in the database.At the same time,the problem of the IP address floating in the dial-up of web server is solved by the dynamic DNS technology.Finally,the remote diagnosis software developed on the Lab VIEW platform can analyze the monitoring data from manufacturing field.The research results have indicated that the equipment status can be monitored by the system effectively.

A Multi-Interface Remote Monitoring and Control System Architecture Based on Embedded Server

This paper presents a multi-interface embedded server architecture for remote real-time monitoring system and distributed monitoring applications. In the scheme,an embedded microprocessor( LPC3250 from NXP) is chosen as the CPU of the embedded server with a linux operation system( OS) environment. The embedded server provides multiple interfaces for supporting various application scenarios. The whole network is based on local area network and adopts the Browser / Server( B / S) model. The monitoring and control node is as a browser endpoint and the remote node with an embedded server is as a server endpoint. Users can easily acquire various sensors information through writing Internet protocol address of remote node on the computer browser. Compared with client / server( C / S) mode,B / S model needs less maintain and can be applicable to large user group. In addition,a simple network management protocol( SNMP) is used for management of devices in Internet protocol( IP) networks. The results of the demonstration experiment show that the proposed system gives good support to manage the network from different user terminals and allows the users to better interact with the ambient environment.

Design and implementation of an expert system for remote fault diagnosis in ship lift

In this paper an expert system for remote fault diagnosis in the ship lift was developed by analysis of the fault tree and combination with VPN. The fault tree was constructed based on the operation condition of the ship lift. The diagnosis model was constructed by hierarchical classification of the fault tree structure, and the inference mechanism was given. Logical structure of the fault diagnosis in the ship lift was proposed. The implementation of the expert system for remote fault diagnosis in the ship lift was discussed, and the expert system developed was realized on the VPN virtual network. The system was applied to the Gaobaozhou ship lift project, and it ran successfully.

Remote Monitoring of Vegetation Managed for Dust Control on the Dry Owens Lakebed, California

A monitoring program was developed to assess the cover of saltgrass managed for dust control on the saline dry Owens Lake. Although the original intent was to manage the vegetation as total cover that included green and senesced leaf and stem material, aged leaves that make up a large proportion of total cover were not differentiable spectrally from the background salt and lakebed. Hence, greenness-based indices were explored for detection of plant recruitment. Since all plant cover begins as green and growing, greenness indices provide a measure of all future cover whether living or senesced. The criteria for judging compliance were changed so that spatially variable vegetation cover measured as a milestone will need to be met in the future. A derivative of NDVI, NDVIx, calculated using scene statistics, proved highly accurate, to about 0.001 of this index and with an average signal to noise ratio of 64. This high level of accuracy allowed detection of small changes in vegetation growth and vigor. Performance according to the benchmark-as-par standard was determined through combined use of cumulative distribution functions and derivative maps.

Remote Monitoring of Surfaces Wetted for Dust Control on the Dry Owens Lakebed, California

Extensive dust control on the dry Owens Lake mainly uses constructed basins that are flooded with shallow depths of fresh water. This dust control is mandated by law as a minimum percent of the area of each individual wetting basin. Wetted surfaces are evaluated for area and degree of wetness using the shortwave infrared (SWIR) band of Landsat TM, or similar earth observation satellite sensor. The SWIR region appropriate for these measurements lies within the electromagnetic spectrum between about 1.5 and 1.8 μm wavelengths. A threshold value for Landsat TM5 band 5 reflectance of 0.19 was found to conform with surfaces having a threshold for adequate wetting at a nascent point where rapid drying would occur following loss of capillary connection with groundwater. This threshold is robust and requires no atmospheric correction for the effects of aerosol scatter and attenuation as long as the features on the image appear clear. Monthly monitoring of surface wetting has proven accurate, verifiable and repeatable using these methods. This threshold can be calibrated for any Earth observation satellite that records the appropriate SWIR region. The monitoring program is expected to provide major input for the final phase of the dust control program that will have a focus to conserve water and resources.

A Study on a Remote Monitoring and Diagnosis System and Its Application

Remote monitoring and diagnosis （RMD） is a new kind of monitoring and diagnosis technology that combines computer science, communication technology and fault diagnosis technology. Via the Internet a remote monitoring and diagnosis system can be established. In this paper, the model of an Internet based remote monitoring and diagnosis system is presented; the function of every part of the RMD system is discussed. Then, we introduce a practical example of a remote monitoring and diagnosis system that we established in a factory; its traits and functions are described.

基于Android平台的公路养护设备监控系统

针对公路养护装备种类多、分散性大和工作参数难以实时查看等问题,提出了基于蓝牙通信和Android平台的养护装备监控系统,实现养护装备的实时监控和远程管理。采用CAN转蓝牙的方式将养护装备的作业参数进行无线传输,利用Android平台设计总线参数采集、数据显示和传输模块,并借助C/S架构和SQLite数据库构建了公路养护装备的参数监控系统。以高速公路用绿篱机为对象,进行了功能试验。结果表明:设计的监控系统可以实现对绿篱机的远程监控、数据存储与数据展示,实现了养护装备作业参数的实时监控,解决了养护装备管理困难的问题。

Dynamic Control System of Automatic Monitoring Equipment for Waste Gas Pollution Source

In order to improve the quality of automatic monitoring data of pollution sources and apply the automatic monitoring data to verify the environmental tax,Shandong Province took the lead in adopting the Internet of Things technology and drawing on the successful experience of air automatic monitoring stations and surface water automatic monitoring stations in management,and developed a dynamic management and control system for automatic monitoring equipment of pollution sources to improve and strengthen the quality audit of automatic monitoring data,further improve the quality of automatic monitoring data and better provide a basis for environmental management and decision making.The system realizes the simultaneous monitoring of monitoring data,running state and parameters of the automatic monitoring equipment,eliminates the phenomenon of falsification by modifying equipment parameters,and judges the validity of the collected data by acquiring the working state of the equipment remotely and randomly.After the actual operation test of the Department of Ecological Environment of Shandong Province,the system is proved to have the characteristics of practicality,real time and high efficiency,and be able to make up for low frequency and narrow coverage of manual inspection,with good application prospect in the field of environment and pollution source monitoring.

基于力控组态软件的光伏微电网远程监控系统的设计

为提高光伏微电网的自动化程度和能源利用效率,保证光伏微电网安全稳定运行,以智慧新能源实训系统V2.0为研究基础,基于力控组态软件设计开发了光伏微电网远程监控系统。该系统由上位监控机和前端数据采集单元组成。数据采集模块以西门子S7-1200plc控制器为核心,通过RS485通信总线,将环境模拟平台的太阳光照度、温度、湿度、太阳倾角等数据采集传输给PLC控制器。PLC控制器通过PROFENET通信,将采集数据传输给力控组态软件,以达到实时数据采集、监测显示、管理控制等远程控制的目的。

基于家庭远程血压/心率监测系统的医院外心衰管理效果观察

目的分析家庭远程血压/心率监测在左心力衰竭(心衰)合并高血压患者中的医院外应用效果。方法前瞻性选取2020年7月至2021年6月粤北人民医院心血管内科住院确诊为左心衰合并高血压患者420例,根据患者出院后是否同意进行家庭远程血压/心率监测分为远程监测组(112例)和常规随诊组(278例)。远程监测组每天早、晚进行血压和心率测量并上传数据至医护终端,医护团队根据测量结果及时指导患者生活方式、用药及进一步治疗;常规随访组自行测量血压和心率并登记,定期门诊随诊。记录2组患者出院后第1、3、6、12个月血压和心率控制值,非计划再次入院率及时间间距,全因死亡和心血管疾病死亡情况。结果远程监测组患者出院后第1、3、6、12个月收缩压,以及出院后第6、12个月心率均明显低于常规随访组,非计划再次入院率明显低于常规随访组,再入院时间间距明显长于常规随访组,差异均有统计学意义(P<0.05);2组患者全因死亡率、心血管疾病死亡率比较,差异均无统计学意义(P>0.05)。结论家庭远程血压/心率监测有利于平稳控制心衰合并高血压患者出院后的血压和心率,延迟患者再入院时间间距,降低患者再住院率。

降雨监测与预报技术在防洪减灾中的应用进展

洪水灾害突发性强,成灾速度快,对人民生命和财产安全造成较大的威胁。降雨作为洪水灾害致灾因子,数据的精确度对防洪减灾具有重要意义。以降雨监测与预报技术为切入点,对雨量站点观测、天气雷达降雨估计及预报、降雨数值预报、卫星遥感反演的现状进行了总结,通过分析时空降尺度方法及多源数据融合技术在降雨监测与预报中的应用,揭示了其在提升降雨数据“量”与“型”准确度方面的效果。研究表明:降雨监测与预报技术在当前取得了显著进展,但在山丘区和城市环境空间的复杂地形方面仍面临分辨率受到限制及精确性、时效性不足的问题。多源数据融合能提高降雨数据精度、时空覆盖能力和预测准确性,优化算法模型、融合“空-天-地”多源数据形成高分辨率预报是未来的研究方向。

轨道打磨电动机监测管理系统设计与实现

打磨电动机是铁路轨道打磨作业的重要设备。但其工作环境较为恶劣,故障率较高。文中从实际需求出发,研究并构建1套轨道打磨电动机监测管理系统,以实现对电动机实时状态进行监测和相关数据的采集。系统针对海量数据的高效采集存储、故障诊断方面进行了深入研究和设计,同时构建友好的用户交互界面。该系统对于推动铁路轨道打磨的实际应用和设备的智能化有一定的促进作用。

5G背景下基于物联网技术的化工装备远程监控系统设计

专用化工装备的平稳运行对石油化工、有色冶金行业生产装置的产能、寿命影响巨大。传统专用化工装备的维护检修通常以售后工程师前往装置现场开展故障诊断、问题修复的形式,存在响应慢、成本高的特点。基于数字化与制造业的深度融合背景,文章通过应用文献法、5G网络、RFID技术、物联网技术等,探索开发专用化工装备远程监控系统,旨在提升专用化工设备的稳定性及经济附加值,对进一步实现化工装备的智能化、绿色化转型升级意义重大。

煤矿联合泵房供水系统智能化升级改造

煤矿供水系统的智能化转型升级是提升煤矿智能化水平的重要环节,文章针对某煤矿联合泵房供水系统自动化程度低、难以实现恒压供水等问题,采用PID控制、变频调速、工业互联网等先进技术对其进行智能化升级改造,设计了高效稳定的智能供水控制系统和管理系统,大大提升了系统自动化、信息化、智能化水平。

风速可调的地空一体化风力灭火遥控机结构设计与性能分析

风力灭火遥控机作为地面灭火装备的一种创新形式,具备机动性强、远程操作、快速响应等特点,能够在复杂的火情环境中灵活作业,大大提高了灭火效率和安全性。为探讨风力灭火遥控机在应对森林和草原地表火灾地空一体化监测系统中的角色与作用,对风力灭火遥控机进行结构设计,分析旋转开合结构的安装位置和开口大小对出口风速的影响。利用Fluent软件对风力灭火筒进行流体仿真,结合Design Expert软件对仿真数据进行处理,建立了位置S和开口大小d对出口平均风速和出口最大风速的响应曲面和二次模型。结果表明,安装位置和开口大小均为出口风速的重要影响因素,当风筒入口风速设定为70 m/s、旋转开合结构开口大小为30 mm且安装在位置5处时,出口平均风速和出口最大风速达到最大,分别为97.7551 m/s和290.001 m/s。相较于开口大小,安装位置对出口平均风速和出口最大风速的影响更大,且安装位置越靠近风筒出口处风力灭火机的灭火性能越好。

基于云平台的热网智慧换热站监控系统

随着日益增长的集中供热面积及智慧城市的建设,针对换热站目前存在自动化程度不高、远程采集信息困难、热网调节波动大等问题,开发了基于云平台的换热站远程监控系统。通过智能DTU网关与PLC连接,将数据采集到服务器中,通过服务器之间数据传递,使用VS开发客户端及WEB发布。针对换热站二次网温度波动大问题,设计了模糊自适应PID控制器,通过仿真满足二次网水温控制要求。通过模拟测试,系统功能完善满足构建智慧热网的需要。

基于光纤通信技术的电力系统远程监测与控制研究

随着电网规模的扩大和运行复杂性的增加,传统铜缆通信系统在处理大规模数据时存在局限性。光纤通信凭借高速、大容量和强大的抗干扰能力等独特优势,为电力系统的远程监测与控制提供了新的解决方案。光纤通信技术可提高数据处理和传输效率,增强电网动态变化的实时响应能力,为电力系统的稳定运行提供坚实的技术支撑。文章探讨了基于光纤通信技术的电力系统远程监测与控制的结构,对比分析传统方法与基于光纤通信技术的方法。实验测试结果表明,基于光纤通信技术的方法在信噪比、带宽利用率、响应时间、数据准确性、故障检测时间以及系统稳定性等关键指标方面均有良好表现,推动了电力系统远程监测与控制的发展。

煤矿机电设备的远程监控与故障预警系统设计

近年来,随着嵌入式技术、互联网技术、大数据分析和人工智能技术的飞速进步,远程监控与故障预警系统已在各行各业取得了广泛应用。这些创新技术为煤矿机电设备的安全运行赋予了崭新的可能。本文将深入探讨如何依托这些前沿科技,构建一套契合煤矿机电设备的远程监控与故障预警体系。

数字孪生在农机装备远程操控的应用探讨

数字孪生是一种融合多种信息技术、促进虚拟与现实交互融合的先进理念。文章在深入探究数字孪生的概念与远程操控系统架构的基础上,阐述数字孪生在农机装备远程操控的实现路线,为提升农业机械化、自动化和智能化生产水平提供了新途径,为数字孪生赋能智慧农业和智能农机装备奠定理论基础。

基于农药喷施溯源的精准变量喷药监控系统设计与试验

针对现有大田精准施药系统主要以药量变量控制为主,缺乏农药喷施作业数据远程监测与溯源管理等问题,本文设计了基于农药喷施溯源的精准变量喷药监控系统,可实现农药精准变量喷施,作业地块、作业时间、作业面积、农药种类与配比、喷施药量、喷雾压力、实时流量和作业速度等信息的在线监测、实时显示和溯源管理。基于该系统分别开展了施药量计算精度、作业面积计算精度、物联网数据传输稳定性、变量调控系统动态响应、变量调控精度和农药喷施均匀性等试验。试验结果表明,北斗定位测速最大误差为1.33%,平均误差为0.82%,施药量计算误差为1.73%,作业面积计算误差为2.61%,数据丢失率为3.51%;速度连续变化下系统稳定调节时间为4~5 s;不同设定施药量和作业速度下,变量调控精度误差为2.45%;雾滴沉积点密度大于20滴/cm^(2)下,在喷雾机行走和喷雾方向上的喷雾覆盖率变异系数均小于10%,满足精准变量作业要求。本研究可在实现药量变量调控下对农药喷施数据进行溯源管理,为后续开展大田作物农药残留风险评估提供支撑。