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.

Signal averaging for noise reduction in anesthesia monitoring and control with communication channels

This paper investigates impact of noise and signal averaging on patient control in anesthesia applications, especially in networked control system settings such as wireless connected systems, sensor networks, local area networks, or tele-medicine over a wide area network. Such systems involve communication channels which introduce noises due to quantization, channel noises, and have limited communication bandwidth resources. Usually signal averaging can be used effectively in reducing noise effects when remote monitoring and diagnosis are involved. However, when feedback is intended, we show that signal averaging will lose its utility substantially. To explain this phenomenon, we analyze stability margins under signal averaging and derive some optimal strategies for selecting window sizes. A typical case of anesthe-sia depth control problems is used in this development.

Quanta-A platform for rapid control and monitoring of heterogeneous rbots

Rapid prototyping,real-time control and monitoring of various events in robots are crucial requirements for research in the fields of modular and swarm robotics.A large quantities of resources(time,man power,infrastructure,etc.)are often invested in programming,interfacing the sensors,debugging the response to algorithms during prototyping and operational phases of a robot development cycle.The cost of developing an optimal infrastructure to efficiently address such control and monitoring requirements increases significantly in the presence of mobile robots.Though numerous solutions have been developed for minimizing the resources spent on hardware prototyping and algorithm validation in both static and mobile scenarios,it can be observed that researchers have either chosen methodologies that conflict with the power and infrastructure constraints of the research field or generated constrained solutions whose applications are restricted to the field itself.This paper develops a solution for addressing the challenges in controlling heterogeneous mobile robots.A platform named Quanta-a cost effective,energy efficient and high-speed wireless infrastructure is prototyped as a part of the research in the field of modular robotics.Quanta is capable of controlling and monitoring various events in/using a robot with the help of a light-weight communication protocol independent of the robot hardware architecture(s).

Design and Simulation of an Audio Signal Alerting and Automatic Control System

A large part of our daily lives is spent with audio information. Massive obstacles are frequently presented by the colossal amounts of acoustic information and the incredibly quick processing times. This results in the need for applications and methodologies that are capable of automatically analyzing these contents. These technologies can be applied in automatic contentanalysis and emergency response systems. Breaks in manual communication usually occur in emergencies leading to accidents and equipment damage. The audio signal does a good job by sending a signal underground, which warrants action from an emergency management team at the surface. This paper, therefore, seeks to design and simulate an audio signal alerting and automatic control system using Unity Pro XL to substitute manual communication of emergencies and manual control of equipment. Sound data were trained using the neural network technique of machine learning. The metrics used are Fast Fourier transform magnitude, zero crossing rate, root mean square, and percentage error. Sounds were detected with an error of approximately 17%;thus, the system can detect sounds with an accuracy of 83%. With more data training, the system can detect sounds with minimal or no error. The paper, therefore, has critical policy implications about communication, safety, and health for underground mine.

High-Speed EMU TCMS Design and LCC Technology Research

This paper introduces the high-speed electrical multiple unit （EMO） life cycle, including the design, manufacturing, testing, and maintenance stages. It also presents the train control and monitoring system （TCMS） software development platform, the TCMS testing and verification bench, the EMU driving simulation platform, and the EMU remote data transmittal and maintenance platform. All these platforms and benches combined together make up the EMU life cycle cost （LCC） system. Each platform facilitates EMU LCC management and is an important part of the system.

A Realistic ICT Network Design and Implementation in the Neighbourhood Area of the Smart Grid

The Smart Grid has three main characteristics, which are to some degree antagonistic. These characteristics are: provision of good power quality, energy cost reduction and improvement in the reliability of the grid. The need to ensure that they can be accomplished together demands a much richer ICT monitoring and control network than the current system. In this paper we particularly investigate the design and deployment of the ICT system in the urban environment, specifically in a university campus that is embedded in a city, thus it represents the Neighbourhood Area Network (NAN) level of the Smart Grid. In order to design an ICT infrastructure, we have introduced two related architectures: namely communications network architecture and a software architecture. Having access to the characteristics of a real NAN guides us to choose appropriate communication technologies and identify the actual requirements of the system. To implement these architectures at this level we need to gather and process information from environmental sensors (monitoring e.g. temperature, movement of people and vehicles) that can provide useful information about changes in the loading of the NAN, with information from instrumentation of the Power Grid itself. Energy constraints are one of the major limitations of the communication network in the Smart Grid, especially where wireless networking is proposed. Thus we analyse the most energy efficient method of collecting and sending data. The main contribution of this research is that we propose and implement an energy efficient ICT network and describe our software architecture at the NAN level, currently very underdeveloped. We also discuss our experimental results. To our knowledge, no such architectures have yet been implemented for collecting data which can provide the basis of Decision Support Tools (DSTs).

基于医疗机构为哨点的新发和重点传染病监测预警结果分析

目的以医疗机构为哨点对新发和重点传染病进行监测;增加检测方法及检测种类,加大医疗机构快速检测能力建设,以便及早对目标传染病采取防控措施。方法设置深圳市龙岗中心医院及其下设的社区健康服务中心为监测哨点,将重点科室符合条件的呼吸道感染、感染性腹泻及其他四大症候群病例作为监测对象;同时,增加检测方法及检测种类,加大医疗机构快速检测能力建设。结果2022年11月至2023年6月深圳市龙岗中心医院共送检1323份不同类型监测样本,检出EB病毒等常见病原体及多瘤病毒等罕见病原体。2022年全年和2023年全年分别监测报告3142例和17643例流行性感冒病例,两个年度流行性感冒病例报告例数存在显著差异(P<0.01)。2023年全年深圳市龙岗中心医院共监测报告流行性感冒病例17643例中男性9715例,女性7928例,男女比例为1∶0.82;年龄分布以14岁以下人群为主,占比59.15%;病例职业分布以学生居多(43.59%),其次是托幼儿童(17.16%);全年各月均有流行性感冒病例报告,4月最多,占全年发病人数的35.99%,其次是12月,占23.02%。结论基于医疗机构为哨点的监测体系持续开展新发和重点传染病监测、增加检测的方法及检测种类、加大医疗机构快速检测能力建设,有利于疾病的早期诊断,对当前高发的传染病及时发出预警并提供防控建议。

智能高速动车组关键技术现状及展望

“复兴号”智能动车组作为动车组典型代表,构建以牵引、制动、网络、安全监测等关键技术为支撑,智能控制、智能运维、智能监控、节能环保为特征的动车组智能技术体系,持续引领国际高速列车技术发展趋势。下一代智能动车组,将以自主感知、自运行、自监控、自诊断、自决策、自保护为目标,开展智能感知、智能行车、智能控制、智能监测、智能诊断、智能服务、智能运维等关键技术研究,为智能高速铁路2.0建设提供技术支撑。

Evolutionary PSO-based emergency monitoring geospatial edge service chain in the emergency communication network

Emergency communication networks play a vital role in disaster monitoring,transmission,and application during disaster emergency response(DER),however,the performance and stability of edge nodes in the emergency communication networks are often weak due to limited communication and computation resources.This weakness directly affects the quality,of service(Qos)of the geospatial edge service(GES)chains involved in emergency monitoring.Existing research predominantly addresses service compositions in stable environments,neglecting the aggregation of efficient and robust GES chains in emergency communication networks.This study proposes an evolutionary_particie swarm optimization(EPSO)-based emergency monitoring GES chain in an_emergency communication network.it includes a GES chain model of emergency environment monitoring for tailing areas,as well as the designs of the particle chromosome encoding method,fitness evaluation model,and particle chromosome swarm update operators of the EPSO-based GES chain.Finally,the study conducts emergency environment monitoring experiments for tailing areas using the proposed method.Experiments results demonstrate that the proposed method significantly enhances the efficiency,stability,and reliability of emergency monitoring GEs chains in the emergency communication network.This is crucial to providing fast and reliable services for DER during natural disasters.

高速公路隧道智能管控现状及管控模式需求分析

针对目前高速公路隧道管控系统设备信息采集功能单一,设备数字化率低以及与各平台之间的相关数据互通性差、安全事故检测手段单一、应急管控效率低等现状进行分析,并针对高速公路隧道智能管控模式和需求进行研究,提出了基于高速公路隧道运行状态监测、交通监控、安全管控、应急管控和智慧运维的智能管控模式,以及隧道内设施设备全要素实时动态监测、全生命周期设施设备运维管理和全过程事件事故跟踪处理的高速公路隧道智能管控需求。

新建高校火灾自动报警与消防应急照明系统设计

新建高校作为有多种功能的特殊的建筑群,其自身的建筑特点导致火灾自动报警系统设计与其他常规项目不一样,特别是对于部分按规范无需设置火灾自动报警系统的单体建筑,火灾自动报警系统、消防应急照明和疏散指示系统设置均存在较大差异,如火灾切非位置设置、电气火灾监控设置、消防应急照明和疏散指示系统的控制方式是选择集中控制型系统还是非集中控制型系统、火灾时如何启动集中电源集中控制型系统等等。

电力机车应急供电装置监控系统设计

针对电力机车应急供电装置内部构成复杂、运行功能多样、控制逻辑复杂、模块间通信距离长、装置内电磁干扰强等通信难题,以触摸屏作为上位机、DSP作为核心控制器、结合CAN、RS485、以太网三种通信控制方法,设计一套电力机车应急供电装置监控系统。实现了电力环境参数的采集、传输、显示以及预警功能。系统硬件配置综合考虑了程序存储空间、代码运行速度、I/O数目、电磁干扰等因素,分别开发了用于整机监控模块管理的上位机和下位机程序。并在实际运用中搭建测试平台,高效率地完成了通信需求。本系统设计可实现对电力机车应急供电装置的本机调度管理,对提高整体自动化水平有重要意义。

新污染物六氯丁二烯环境管理与治理技术分析与探讨

六氯丁二烯(HCBD)作为一种新污染物,具有高毒性、难降解性、生物蓄积性和远距离迁移特性,对生态环境和人体健康带来极大风险。简述了HCBD的危害,分析了我国HCBD的来源和污染现状,总结了我国HCBD的环境管控现状及分析治理技术进展。针对存在问题,从HCBD的环境管理、监测分析技术和减排治理技术等方面提出建议,为控制HCBD的源排放、减少环境污染水平和加强环境风险管控等提供参考。今后的研究中应重点关注HCBD的产生机理及毒理学、HCBD的监测技术以及研发HCBD高效控制技术及修复技术等方面的研究。

新时代生物安全风险闭环管控机制构建研究

构建生物安全风险闭环管控机制是新时代维护国家安全的重要议题,也是推动生物科技创新和生物经济发展的题中之义。基于当前新时代生物安全风险管控思想认识不足、协同管控机制不够健全、管控的专业性、针对性和实效性不足等问题,结合生物安全风险特征及演化规律,以复杂网络治理框架来构建生物安全风险全链条闭环管控机制。具体而言,在常态化预防监测阶段,要构建预防准备机制、监测预警机制、风险消减机制;在应急网络协同阶段,要突出重塑网络组织关系、优化组织结构与功能、提升网络运行治理能力;在常态化管控与非常态应急衔接方面,要完善过程管控与动态调适机制、绩效评价与监督问责机制,推动系统耦合与高效转化,形成精准预防、联动应急、立体高效、闭环管控的生物安全保障新格局。

城市轨道交通线网运营监控与应急指挥协同管控平台研究

为满足城市轨道交通(简称:城轨)线网运营综合协调和调度指挥管理需求,研究线网运营监控与应急指挥协同管控平台(简称:管控平台)。设计了管控平台的架构,以及线网全景可视化监视及告警、线网智能运营管控、应急指挥协同管控、应急辅助决策等功能。通过动态监控预警技术、指挥协同管控技术、线网运营效能提升技术、“站、线、网”运营仿真技术等关键技术,有效地解决运营过程中面临的综合运营监视预警、多单位/多层级协调管控、综合运营辅助决策困难等问题。该平台已在武汉地铁试点应用,应用结果表明,该平台可为轨道交通线网的统一运营协调与管控提供技术支持,为轨道交通线网提供应急处置辅助决策手段。

煤自燃全阶段防控研究进展及趋势分析

为深刻了解煤自燃全阶段防控领域的现状及未来趋势,从“监测预警、防治技术、应急救援”3个方面梳理了各阶段研究进展,并提出未来研究方向:运用多元统计分析、物联网、机器学习和人工智能等尖端技术,提升煤自燃预测预报准确性,构建智能化、超前预警与态势研判机制,实现智能化预测预报与超前预警系统;通过多学科交叉研究手段,深刻理解自燃机理、创新防灭火材料、发展新型微生物技术,使得煤自燃防治技术呈现深度研究和多元创新的趋势;在高效、协同、智能的救援机制下,煤自燃应急救援正朝更智能、信息化的方向迈进,期望推动煤自燃防控智能先进发展水平。

疾控中心在食品安全管理中面临的问题及优化策略

食品安全关系到人们的身体健康与生命安全。作为专业公共卫生机构,疾病预防控制中心在食品安全管理中发挥着重要作用。本文系统梳理了疾病预防控制中心在食品安全监测、风险评估、应急处置和科学研究等方面的职能,分析了疾病预防控制中心面临的问题,包括体制机制、技术能力、人才队伍等方面的制约因素。在此基础上,提出了完善疾病预防控制中心在食品安全管理中作用的对策建议,包括强化疾病预防控制中心的法定地位、加强部门协作、夯实科技支撑、优化队伍建设和提升全球治理能力等,以期进一步发挥疾病预防控制中心的专业优势,构建以疾病预防控制中心为技术支撑的食品安全管理新模式,这对于提升我国食品安全治理能力、保障人们的健康具有重要意义。

应急监测在突发性环境污染事故中的应用

突然发生的环境污染事故,无时无刻不在挑战着环境的规律与秩序。为了能更有力地应对,并确保这些事故的发生率最小化,开展应急监测科研工作势在必行。此项研究不仅对应急监测在处理突发性环境污染事故中的重要性和必要性进行了深度探讨,而且还强调了有效且迅捷的监测技术在快速响应事故以及控制污染上扮演的重要角色。此次研究所采取的方法主要是数据分析及实地考察,并对多起突发环境污染事故案例进行了详尽地剖析,以此凸显了现有应急监测技术的有效性。应急监测可以及时且有力地对事故做出科学的评估,并预测事故可能的发展方向,之后再采取相应的处理措施。此外,本研究还探索了应急监测技术的优化方式和推广路径,为突发性环境污染事故的研究提供了新的视角和思路。通过此项研究,可以为提升我国突发性环境污染事故的应急响应能力和处理效率提供理论依据和实践参考。

突发性环境水污染事故的应急监控质控策略分析

近年来,受到自然因素和人为因素的影响,突发性水污染事件的发生频率增加,对生态环境和人们的生活造成了巨大破坏。为了有效避免水体污染现象的发生,需要采取相应的应急监控和质控措施,进行水质管控。本文通过分析突发性环境水污染事故的形成原因,探究突发环境水污染事故的应急策略现状,并提出有效对策,以期能够帮助相关部门和个人更好地应对突发性水污染事件。

引调水工程受水区水污染防治关键技术研究

建立科学、合理、可行的引调水工程受水区水污染防治关键技术体系对解决引调水工程受水区水污染防治问题至关重要。以环北部湾广东水资源配置工程受水区为例,在统筹考虑受水区河流水系分布、水环境现状、水污染防治形势等因素的基础上,以控制单元为抓手,以水功能区水质达标与污染物入河总量可控为底线,以污染防治措施为手段,以“天空地一体化”水环境监测体系和水环境风险应急处置系统为保障,通过科学核算控制单元水域纳污能力,合理制定污染物排放控制总量方案,建立了“抓手+底线+方法+手段+保障”五位一体的引调水工程受水区水污染防治关键技术体系。结果表明:该技术体系科学、合理,具备较强的指导性和可操作性,通过抓手、底线、方法、手段、保障等5项关键技术的应用,可有效解决引调水工程受水区的水污染问题,实现“增水不增污”的目标。在全面落实170项水污染防治规划措施、完善水环境风险应急处置系统的基础上,环北部湾广东水资源配置工程建成通水后,2035年工程受水区废污水入河量虽较现状增加了183.22%,但污染物COD、氨氮、总磷入河量较现状均有减少,减幅分别为13.2%,61.7%,77.5%。研究成果可从关键技术体系的视角为管理决策者提供指导,可为引调水工程受水区水污染防治工作提供参考。