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.

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.

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.

Research and Development of a Communication Monitor to a Distribution Management System

Based on the existed equipment (the power line carrier, optic fiber, twisted pair and wireless apparatus) being used to the same route in the current communication net of distribution management system (DMS), this paper presents a new kind of communication monitor DMS, which provides a communication monitoring interface and then by DMS, data transfer problem from field terminal unit to junction center station can be solved and the communication channels can also be supervised. At the same time, synthetically using computer communication, internet technology and database technology, this system can realize the real time monitoring and fault locating in the communication network.

Grassland degradation in Northern Tibet based on remote sensing data

This study selected vegetation cover as the main evaluation index, calculated the grassland degradation index （GDI） and established the remote sensing monitoring and evaluation system for grassland degradation in Northern Tibet, according to the National Standard （GB19377-2003）, based on the remote sensing data such as NDVI data derived from NOAA/AVHRR with a spatial resolution of 8 km of 1981-2000, from SPOT/VGT with a spatial resolution of 1 km of 2001 and from MODIS with a spatial resolution of 0.25 km of 2002-2004 respectively in this area, in combination with the actual condition of grassland degradation. The grassland degradation processes and their responses to climate change during 1981-2004 were discussed and analyzed in this paper. The result indicated that grassland degradation in Northern Tibet is very serious, and the mean value of GDI in recent 20 years is 2.54 which belongs to the serious degradation grade. From 1981 to 2004, the GDI fluctuated distinctly with great interannual variations in the proportion of degradation degree and GDI but the general tendency turned to severe-grade during this period with the grassland degradation grade changed from light degraded to serious degraded in Northern Tibet. The extremely serious degraded and serious degraded grassland occupied 1.7% and 8.0% of the study area, the moderate and light degraded grassland accounted for 13.2% and 27.9% respectively, and un-degraded grassland occupied 49.2% of the total grassland area in 2004. The grassland degradation was serious, especially in the conjunctive area of Naqu, Biru and Jiali counties, the headstream of the Yangtze River lying in the Galadandong snow mountain and glaciers, the area along the Qinghai-Tibet highway and railway, and areas around the Tanggula and Nianqingtanggula snow mountains and glaciers. So the snow mountains and glaciers as well as their adjacent areas in Northern Tibet were sensitive to climate change and the areas along the vital communication line with frequent human activities experienced relatively serious grassland degradation.

Design of Greenhouse Environment Control System Based on Internet of Things

There are some disadvantages, such as complicated wiring, high cost, poor monitoring flexibility, low accuracy and high energy consumption in traditional greenhouse environment monitoring system which based on previous wireless sensor networks （WSN）. Aiming at these problems, a greenhouse environmental parameter monitoring system had been designed based on internet of things technology in this paper. A set of control system with good robustness, strong adaptive ability and small overshoot was set up by combining the fuzzy proportion-integral-derivative （PID） control. The system was composed of a number of independent greenhouse monitoring systems. The server could provide remote monitoring access management services after the collected data were transmitted. The data transmission part of greenhouse was based on ZigBee networking protocol. And the data were sent to intelligent system via gateway connected to the internet. Compared to the classical PID control and fuzzy control, the fuzzy PID control could quickly and accurately adjust the corresponding parameters to the set target. The overshoot was also relatively small. The simulation results showed that the amount of overshoot was reduced 20% compared with classical PID control.

Controlled Remote State Preparation

We present a scheme for remotely preparing a state via the controls of many agents in a network.In thescheme,the agents' controls are achieved by utilizing quantum key distribution.Generally,the original state can berestored by the receiver with probability 1/2 if all the agents collaborate.However,for certain type of original states therestoration probability is unit.

Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations

This paper presents a preliminary study of developing a novel distributed adaptive real-time learning framework for wide area monitoring of power systems integrated with distributed generations using synchrophasor technology. The framework comprises distributed agents (synchrophasors) for autonomous local condition monitoring and fault detection, and a central unit for generating global view for situation awareness and decision making. Key technologies that can be integrated into this hierarchical distributed learning scheme are discussed to enable real-time information extraction and knowledge discovery for decision making, without explicitly accumulating and storing all raw data by the central unit. Based on this, the configuration of a wide area monitoring system of power systems using synchrophasor technology, and the functionalities for locally installed open-phasor-measurement-units (OpenPMUs) and a central unit are presented. Initial results on anti-islanding protection using the proposed approach are given to illustrate the effectiveness.

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。

造纸机分布传动可编程控制器PCC系统的应用

PCC可编程控制器以其强大的数据处理能力、高运算速度和可靠网络连接等优势,在在造纸工业中得到广泛应用,充分发挥其优势有助于推进造纸机的智能化发展、提升造纸机的技术水平。对此,简述了PCC系统控制原理,设计了以PCC B&R 2005为主控制器、操作面板为人机界面、PROFIBUS现场总线为通信方式的造纸机分布传动控制系统,对系统中主要硬件选型与配置、系统通信方式、下位机软件设计等进行了详细说明,并基于组态王与PCC进行造纸机分布传动上位机监控界面的设计,以期提高造纸机分布传动控制系统的控制精度、实时性和稳定性。

城市智慧排水管控中多元监测体系构建研究

城市河流与排水管网污染溯源的时效性差与监测体系空间覆盖不平衡等仍是城市水环境管理的突出问题。随着无人机、物联网、水质在线监测、高精度定位等技术的发展,实现快速污染溯源的多元监测体系正逐步实现。该研究通过对中山市濠头涌区域的排水管网关键节点与河流关键断面安装分布式检测仪表,并应用无人监测船对城市河流进行地形测量、水质监测,完成了监测体系的构建和多元监测数据的获取,实现了分布式仪表与无人监测船的优势互补。此外,基于电导率与氨氮相关性系数大于0.92的结果及氨氮作为主要污染物的现状,验证了电导率作为主要水质实时监测指标的合理性。

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。

基于Android平台的远程工业监控系统

针对生产管理人员需要运用移动终端对工业生产流程进行远程监控,设计并实现了基于Android平台的远程工业监控系统;该系统对现有工业控制平台进行了扩展,运用OPC技术与组态软件进行通讯,使用WCF Service技术封装了对数据的各类操作,以服务的形式提供了实时数据访问接口;基于Android平台工业控件库,开发了用于远程监控饲料生产系统的终端应用;实际应用表明移动终端能实时地显示生产数据,并对原有系统影响较小。

基于鸿蒙系统的无人方程式赛车远程监控与数据管理系统开发

为了提高无人方程式赛车运行的安全性,设计了一种基于鸿蒙系统的无人方程式赛车远程监控与数据管理系统。该系统主要包括数据采集软件、远程监控平台、云数据库。数据采集软件使用鸿蒙系统开发,通过使用控制器局域网(controller area network,CAN)总线传输、蓝牙传输、WebSocket协议、HTTP协议,实现对CAN数据的解析、显示、转发。监控系统使用Spring Boot框架开发,实现对无人方程式赛车的远程监控。云数据库使用MySQL数据库开发,实现无人方程式赛车数据的快速存储。测试结果表明,该套系统可以实现对无人方程式赛车的远程监控,实现十万级以上数据量低延迟储存,数据丢失率平均为0.0424%。目前,该套系统已经应用到无人方程式赛车的调试中。