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.

Multi-timescale robust dispatching for coordinated automatic generation control and energy storage

The increasing penetration of renewable energy into power grids is reducing the regulation capacity of automatic generation control(AGC).Thus,there is an urgent demand to coordinate AGC units with active equipment such as energy storage.Current dispatch decision-making methods often ignore the intermittent effects of renewable energy.This paper proposes a two-stage robust optimization model in which energy storage is used to compensate for the intermittency of renewable energy for the dispatch of AGC units.This model exploits the rapid adjustment capability of energy storage to compensate for the slow response speed of AGC units,improve the adjustment potential,and respond to the problems of intermittent power generation from renewable energy.A column and constraint generation algorithm is used to solve the model.In an example analysis,the proposed model was more robust than a model that did not consider energy storage at eliminating the effects of intermittency while offering clear improvements in economy and efficiency.

The Application of Principle of Automatic Control in the site Management of Electric Power Construction Enterprise

It is need to establish site project department during the construction of electric power project.The head office should design and build the main structure,continually improve structure of project department,meantime,positively apply principle of automatic control to improve the site management of electric power construction.In this article,the application strategy of principle of automatic control is analyzed focusing on the site work of electric power construction.

Quality Information Management and Application of AWS

This paper has designed a unified storage model of Automatic Weather Station Quality Information Inquiries and Feedback( AWSQIF),and has developed an AWSQIF automatic management system,which implements the storage of AWSQIF automatically in national quality information two-way feedback process. Based on the unified storage,AWSQIF data have important application in real-time data management,data quality assessment and quality control effect analysis. The results show that the data quality has been improved significantly,and the data assessment has achieved online operating. In addition,AWSQIF can assist the improvement of the quality control effect.

MicroGrid Designer:user-friendly design,operation and control assist tools for resilient microgrid and autonomous community

During this decade,many countries have experienced natural and accidental disasters,such as typhoons,floods,earthquakes,and nuclear plant accidents,causing catastrophic damage to infrastructures.Since the end of 2019,all countries of the world are struggling with the COVID-19 and pursuing countermeasures,including inoculation of vaccine,and changes in our lifestyle and social structures.All these experiences have made the residents in the affected regions keenly aware of the need for new infrastructures that are resilient and autonomous,so that vital lifelines are secured during calamities.A paradigm shift has been taking place toward reorganizing the energy social service management in many countries,including Japan,by effective use of sustainable energy and new supply schemes.However,such new power sources and supply schemes would affect the power grid through intermittency of power output and the deterioration of power quality and service.Therefore,new social infrastructures and novel management systems to supply energy and social service will be required.In this paper,user-friendly design,operation and control assist tools for resilient microgrids and autonomous communities are proposed and applied to the standard microgrid to verify its effectiveness and performance.

Study on Factors Influencing the Quality of Automatic Monitoring Data of Pollution Sources and Technical Assurance Measures

Automatic monitoring data of pollution sources is an important basis for environmental supervision and management.At present,it is difficult to guarantee the quality of automatic monitoring data of pollution sources,and it is difficult to play the role of the monitoring data.In response to this problem,the factors influencing the quality of automatic monitoring data of pollution sources were analyzed in detail,and technical assurance measures for the quality of automatic monitoring data of pollution sources in Shandong Province were studied.Besides,the dynamic management and control idea of automatic monitoring of pollution sources was proposed,and specific technical measures were analyzed from five aspects of standardizing automatic monitoring equipment of pollution sources,improving the data collection and transmission system,establishing a mechanism for reporting operating status information of monitoring equipment,setting alarm rules and alarm processing procedures,and statistically analyzing the operating status of the equipment.Practice has proved that the dynamic management and control system can effectively ensure the quality of automatic monitoring data of pollution sources.

面向易行的高速铁路智能平行调度系统构架及关键技术

针对我国高铁成网运行、管控列车数量和种类多、运营方式复杂等特点,以构建新一代智能动态调度系统为目标,探讨面向易行的高速铁路智能平行调度系统构架,从5个方面提炼出高速铁路智能平行调度系统的技术特征。总结目前高速铁路智能平行调度系统研究亟待解决的关键技术,介绍智能高铁平行调度一体化仿真原型系统研制及实现的部分场景功能。研究工作可为建立面向易行服务的,适应中国高铁“效率变革”“质量变革”需求的智能动态调度理论与技术体系,实现我国高速铁路智能调度系统和运输服务水平的升级发展提供参考。

基于PXI和Teststand的模拟保护卡件自动测试工装设计

核反应堆的模拟保护系统具有较高的可靠性,运用脉冲试验,可使其具有充分的在役测试能力。作为模拟保护系统的组成部分,卡件具有模拟计算功能和逻辑运算功能。针对常规卡件测试耗时、费力等弊端,设计一套基于PXI和Teststand的自动化测试工装。通过对自动化测试原理和测试资源的分析,实现了硬件设备的选型,以及对开关网络、接线和系统结构的设计;以Teststand软件和LabVIEW语言为软件编程环境,完成测试流程的设计。借助一块辅助电路板,将工装自身的电源和多用表短接,实现了工装的自动化检测,确保工装在使用前处于完好可用状态。测试结果表明,卡件的测试时间为人工的1/5,卡件的测试质量达到了100%。

城市轨道交通智慧乘务综合服务系统

[目的]为实现司乘管理由人工方式向智能方式转变,实现智能排班、自动派班等功能,进而提升管理效能,提出了适用于城市轨道交通运营管理的智慧乘务综合服务系统。[方法]定义了智慧乘务综合服务系统的系统架构和功能需求,分析了该系统的内外部接口要求,给出了该系统各子模块的技术方案,介绍了该系统在上海轨道交通10号线的示范应用情况。[结果及结论]应用表明,该系统可提高司机生产率,降低人车比,有助于实现乘务管理提质增效。

基于机组出力变化量与最大调节速率关系的自动发电控制指令优化调度

随着新能源并网容量的增加,电网的调频波动现象加剧,为加快消除电网频率偏差,提出了一种基于机组出力变化量与最大调节速率关系的自动发电控制(automatic generation control,AGC)指令优化调度方法。首先,基于机组的实发功率历史数据,采用分段线性表示方法自动查找具有连续增、减变化趋势的数据段,计算每个数据段的出力变化量和对应的调节速率形成数据样本集合,从集合中筛选出可以描绘机组出力变化量与调节速率关系的样本点,由多项式拟合得到机组出力变化量与最大调节速率之间的关系式;然后,以负荷调节时间最小化为目标,考虑机组出力变化范围及机组不同出力变化量下对应调节速率的约束条件,得到电网AGC指令的优化分配结果;最后,通过仿真和工业案例验证所提方法的有效性,也验证了机组在频率波动时能够快速响应,有效降低频率偏差。

面向煤矿集团的一体化综合管控平台研究

为确保煤矿集团公司层级对下属煤矿企业安全生产管控的及时性、精准性及有效性,促进煤矿企业安全高效生产,提出了一种面向煤矿集团的一体化综合管控平台。平台采用B/S架构设计了以接入层、基础设施层、数据资源层、业务支撑层及应用层为核心,安全运维管理和标准规范为保障体系的总体架构,详细阐述了业务子系统、可视化大屏子系统及移动应用APP三大功能模块设计及平台实现。实际应用结果表明,平台运行稳定、效果显著,可满足煤矿集团公司层级对下属煤矿企业安全生产监管和辅助决策需求,对促进煤矿集团公司数字化转型升级具有一定的推动作用。

智慧燃气调度系统应用探析

随着智能技术在各行业的广泛应用,基于物联网、云计算、大数据等技术的智慧燃气调度系统在燃气行业得到开发与应用。简要概述智慧燃气调度系统的子系统及其功能,并从智能化管理、安全管控、紧急响应以及数据分析4个方面对智慧燃气调度系统应用进行了探讨,以便为相关人员提供借鉴,促进我国能源智能化发展。

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。

数字化井控技术研究现状及发展趋势

目前油气勘探开发领域逐渐向高温高压、深水深层等复杂油气领域拓展,钻完井难度与井控风险也随之增加。随着数字化技术与井控技术的深度融合应用,数字化井控技术在井控风险识别、溢流应急处理、井控失控应急抢险等方面凸显了重要作用,有助于提升井控风险管理水平和应急处置的效率。文章综述了国内和国外数字化井控技术的研究现状,从井控信息管理系统、井控智能化培训系统、精细控压钻井、智能化早期溢流识别、自动化关井压井、智能化应急救援装备和数字孪生井控技术7个方面详细介绍了技术现状及应用效果,同时分析了国内外在数字化井控技术方面的发展差距。最后在现有数字化井控技术的基础上,分别针对一级井控、二级井控、三级井控提出了下步重点攻关方向和发展趋势,以供同行业者参考。

院前急救指挥调度的质量控制与管理方法探讨

近年来,院前急救指挥调度在医疗救援中的重要性日益凸显,院前急救指挥调度的质量直接关系到患者的生命安全和身体健康,对其进行科学的质量控制和管理显得尤为重要。提升院前急救指挥调度的质量控制与管理的首位度,需要结合当地实际情况,制订质量控制与管理的方案,更好地优化质量控制与管理流程和方法,提升管理质量。因此,本文首先对院前急救指挥调度进行相关介绍,然后探究院前急救指挥调度的质量控制与管理中的问题,最后分析院前急救指挥调度的质量控制与管理的意义和方法,以供参考。

一种烘丝机蒸汽自动管控的设计与应用

【目的】为降低烘丝机蒸汽使用单耗,进一步提升烘丝机蒸汽使用效率,设计了一种蒸汽自动管控模式。【方法】管控模式运用建模理论,采用多种分析工具和方法,找出主要因素和实现目标的最优路径;利用PLC控制技术、人机界面技术、数据库技术,一方面,克服了现场仪表无法采集累计值的缺陷,另一方面,建立了基于生产现场关键设备的能源预警和提示系统。【结果】结果表明:烘丝机的蒸汽单耗由0.70 kg/kg叶丝下降到0.60 kg/kg叶丝,下降幅度超过10%,烘丝机蒸汽单耗指标有效下降;使用人员借助自动管控模式能够及时发现问题。【结论】该技术可为能源管理下沉到关键设备层和提高能源精益管理水平提供支持。

V型液压硫化机的技术概述

简要介绍V型硫化机的研制背景、主要结构、工艺参数等,该机型的优点是能够实现机械化、自动化,提高产品质量,降低能源消耗,产品的性价比优良等。

基于物联网的电力调度自动化控制系统设计

针对电力调度自动化过程中的关键难题,文章提出一种基于物联网技术的解决方案。通过在电网关键部位布设分布式传感器,构建高速物联网通信网络,实现对电力系统的精细化监测,获取各类实时数据,并在此基础上设计电力调度自动化控制系统框架,给出系统架构、资源监测、协同调度算法等详细技术路线。最后,通过实验平台全面验证所设计系统的控制响应速度快、调节精度高、运行可靠等特性。研究表明,物联网技术可以有效提高电力调度的自动化与智能化水平,为电网的经济高效运营提供支持。

信息技术在现代化煤矿建设中的应用

通过对信息技术在现代化煤矿建设中的应用进行研究,分析信息技术在提高煤矿安全性、生产效率和资源利用率方面的作用。介绍了现代化煤矿建设的背景和现状,以及信息技术的发展历程,详细阐述了信息技术在煤矿建设中的应用,包括远程监控、自动化控制、数字化管理等方面,总结了信息技术在现代化煤矿建设中的应用效果,以期为煤矿建设的发展提供一些参考。

海洋石油708船深水离线电池分配系统的研制与应用

针对海洋石油708船在深远海勘察作业时,海底钳因电能不足被频繁提至甲板更换电池的问题,研制了一套深水离线电池分配管理系统。该系统主要由控制舱、深水电池组、水密电缆等组成,能够在海底独立实现4个深水电池的自动切换功能。控制舱采用高强度铝合金制成,系统耐压≮30 MPa;采用三菱PLC作为核心控制器,完成了控制程序的编写。通过室内实验,验证了控制功能,能够稳定实现电池的切换与电能输出。在我国南海某海域1800 m水深处进行了现场应用,成功将海底钳的水下作业时间由3天提升至不低于10天,极大地延长了其在海底的工作时间,为海洋石油708船节约了宝贵作业时间,圆满辅助该船完成了勘察作业任务。