The Investigation on Welding Processes for SUS316LN Tubes Used in Superconducting Magnetic System of EAST

The force flow cooled superconducting cable-in-conduit conductor （CICC） is used in both of EAST toroidal field （TF） and poloidal field （PF） coils. The conductor consists of multi-stage NbTi superconducting cable and 1.5 mm thick square jacket. The cable is pulled through in a thin wall circular jacket and then compacted to square cross-section conductor. The jacket material is SUS316LN austenitic stainless steel seamless tubes （about 10 m each）, which is assembled by butt-welding up to 600 m. The results of the welding procedure investigation and quality assurance procedures carrying out are described in this paper.

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.

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.

Neural Network-Powered License Plate Recognition System Design

The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The design of license plate recognition algorithms has undergone digitalization through the utilization of neural networks. In contemporary times, there is a growing demand for vehicle surveillance due to the need for efficient vehicle processing and traffic management. The design, development, and implementation of a license plate recognition system hold significant social, economic, and academic importance. The study aims to present contemporary methodologies and empirical findings pertaining to automated license plate recognition. The primary focus of the automatic license plate recognition algorithm was on image extraction, character segmentation, and recognition. The task of character segmentation has been identified as the most challenging function based on my observations. The license plate recognition project that we designed demonstrated the effectiveness of this method across various observed conditions. Particularly in low-light environments, such as during periods of limited illumination or inclement weather characterized by precipitation. The method has been subjected to testing using a sample size of fifty images, resulting in a 100% accuracy rate. The findings of this study demonstrate the project’s ability to effectively determine the optimal outcomes of simulations.

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.

A review of closed-loop reservoir management

The closed-loop reservoir management technique enables a dynamic and real-time optimal production schedule under the existing reservoir conditions to be achieved by adjusting the injection and production strategies. This is one of the most effective ways to exploit limited oil reserves more economically and efficiently. There are two steps in closed-loop reservoir management： automatic history matching and reservoir production opti- mization. Both of the steps are large-scale complicated optimization problems. This paper gives a general review of the two basic techniques in closed-loop reservoir man- agement; summarizes the applications of gradient-based algorithms, gradient-free algorithms, and artificial intelligence algorithms; analyzes the characteristics and application conditions of these optimization methods; and finally discusses the emphases and directions of future research on both automatic history matching and reservoir production optimization.

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.

石油领域专业应用软件动态构建发布技术

石油领域专业软件种类多、应用环境差异大、管理维护费时费力。管理维护人员需要花费大量时间进行安装和维护;软件安装、资源调配、软件日常问题处理占用了不少研究人员的时间,部分软件安装复杂由厂商维护,使用人员甚至无法独立安装。针对上述问题,通过预设的统一标准管理体系、研究环境自动部署体系实现动态构建,最终完成软件自动部署安装。实现专业应用软件的自动构建,以期能有效解决相关工作人员管理和使用应用时遇到的痛点,为相关工作人员提供借鉴。

《蒸汽供热系统凝结水回收及蒸汽疏水阀技术管理要求》国家标准解读

加强凝结水回收和蒸汽疏水阀管理,对蒸汽供热系统节能至关重要。本文介绍了国家标准《蒸汽供热系统凝结水回收及蒸汽疏水阀技术管理要求》的修订背景,对标准的主要技术内容进行了阐释和说明,以期帮助相关方更好地理解和把握标准要求,促进标准的推广应用。

面向管制语音识别系统的性能评价方法

目前,随着空中交通管理领域的发展,越来越多的人工智能技术运用到管制领域。其中自动语音识别技术被用于管制指令纠错、复诵一致性检验等方面,用于提升飞行安全和效率。为了解决自动语音识别系统的性能参差不齐的问题,提出了一种面向管制语音识别系统的性能评价方法,对3个待测系统进行了评价与分析。首先,按照一定的管制场景比例收集管制语音并进行数据标注,建立管制语音识别系统测试语料库;其次,设计管制语音识别系统评价指标体系,并通过层次分析法计算指标权重;最后,提出并训练3个待测管制语音识别系统用于评价分析。结果表明,通过该评价方法可以对管制语音识别系统进行全面的评价以及分析不同管制场景下系统的表现情况,并能够根据不同的管制场景提出性能改进建议。该方法提供了一种直观的评价管制语音识别系统的途径,有望为未来的研究提供有力的指导。

智慧城市电网电子化移交自动管控系统

当前对不同类型电力数据无同步处理,电力数据移交任务中成功转换的次数减少,移交时间长,为此设计智慧城市电网电子化移交的自动管控系统。以服务形式向多个业务中心转移数据,控制电网电子驱动电流和电压,完成恒定功率下的快速响应,通过应答通讯电网数据移交模块回应不同电量下电网数据指令,平衡处理智慧电网电子化移交数据,构建电网神经网络信息移交模型。测试结果表明,当电力数据移交执行次数设定为500次时,所设计系统能够一次性执行成功,任务移交时间为5.2 s,而对比系统需要进行五次任务转换,所需时间分别为16.4 s和21.2 s,该系统的优势比较明显。

基于NAS私有云的医院档案电子信息自动管理平台

常规的医院档案电子信息自动管理平台主要使用HTMLPHP(Hyper Text Markup LanguageHypertext Preprocessor)超文本预处理语言生成多选项表单,易受服务器Post混乱作用的影响,导致综合运行性能低下,因此,提出一种基于NAS私有云的医院档案电子信息自动管理平台。硬件部分设计HGYUI4033处理芯片和KLOPA1存储器,软件部分利用NAS搭建档案电子信息管理私有云,生成档案电子信息自动管理架构,从而实现电子档案信息的自动管理。平台测试结果表明,文章设计的医院档案电子信息自动管理平台在不同状态下均能有序运行,综合性能良好,具有可靠性,有一定的应用价值,为提高档案综合管理效率、实现档案数字化管理升级作出一定的贡献。

面向贪心生成和最优分配任务的自动化管理算法研究

传统课程管理模式面临着流程繁琐、管理不便等问题。针对此问题,面向劳动教育实践课程中校园卫生打扫任务实践项目,本研究设计了教室—班级匹配贪心生成算法和检查任务最优分配算法,以实现打扫任务的自动化智能管理,并在前期所开发的劳动教育实践数字化管理与展示系统中,验证了这套自动化管理算法在解决具体的校园卫生打扫任务自动化管理问题上的可行性与高效性。这套算法创新了劳动教育实践课程的数字化管理新模式,并实现其数字化以简化流程、智能化以高效管理,为开辟劳动教育数字化和自动化管理的新赛道,以智能化赋能教育治理提供了可借鉴的创新模式。

标准化果园多功能作业平台关键技术研究现状与趋势

我国是水果生产和消费大国,产量和面积常年居世界首位。然而我国果园长期面临复杂环境,传统人工作业存在成本高、劳动力紧缺、效率低等问题,随着标准化、规模化果园的建立,传统模式已不适应现代果园的发展。多功能作业技术平台集成采摘、开沟、施肥、喷雾、运输等功能,有效提升果园作业效率,节约成本,成为现代林果业高效发展的关键工具。主要概述了多功能作业平台结构组成及工作原理,包括对升降结构与底盘系统两大关键部分,并对国内外标准化果园作业平台的发展动态进行概述,从简单移动平台到可扩展平台,后续加入导航与自动调平系统等一系列改进,通过对比不同类型果园作业平台的特点和优势,明晰国内多功能作业平台发展不足,并总结归纳分析出国内外多功能作业平台主要研究重心聚焦在自动调平技术、通用底盘技术、导航避障技术、升降技术、底盘通过性技术、动力系统协调管理技术、系统品质提升技术等方面,并且探讨了我国多功能作业平台发展所面临的瓶颈,如信息化、智能化不足,政策支持相对滞后等。最后,针对我国作业平台与国外作业平台发展差距提出建议,如推进果园种植规范化、标准化,向信息化、智能化发展等,以期为我国果园高品质机械化作业提供发展思路。

基于设备特性的全自动血球分析仪质量管理研究

目的:构建基于设备特性的全自动血球分析仪质量预测诊断模型,探讨其在全自动血球分析仪动态质量管理控制中的应用价值。方法:基于设备特性采用长短期记忆(LSTM)模型和Softmax分类器,运用Adam优化算法构建全自动血球分析仪质量预测诊断模型(简称质量预测诊断模型),设计18个设备特征参数作为输入变量,对设备常见的10种质量问题进行预测诊断。选取2021—2022年新疆医科大学第一附属医院检验中心在用的5台全自动血球分析仪数据为样本,进行模型训练和测试,评估模型预测正确率和诊断精确度,并用模型输出结果观察2023年1—6月5台全自动血球分析仪设备质量管理辅助效果。采用正确率和精确度评价质量预测诊断模型性能,对比模型辅助全自动血球分析仪质量管理前后周平均故障数降幅。结果:质量预测诊断模型应用于5台设备预测诊断,预测正确率分别为97.5%、95.9%、96.3%、95.3%和95.2%,5台设备预测诊断正确率比较差异无统计学意义(P>0.05);5台设备预测诊断精确度分别为92.6%、89.7%、91.1%、92.4%和91.1%,5台设备预测诊断精确度比较差异无统计学意义(P>0.05)。应用模型辅助5台设备质量管理控制后,周平均故障数降幅分别为67.35%、68.36%、69.72%、68.97%和67.47%。结论:基于设备特性的全自动血球分析仪质量预测诊断模型可根据设备特征值准确预测设备质量问题,正确诊断引发质量问题的原因并提出相应的处理措施,应用于设备质量管理控制可有效降低故障发生率,并适用于不同设备。

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。

自动化控制在化工安全生产中的应用探讨

化工是国家经济建设中的支柱产业,在新中国实现工业化、现代化的过程中,所需要的动力与原料,大部分来自于化工行业。同时,化工又是一项高风险产业,化工生产在高危高压、易燃易爆环境中进行,对安全管理的要求极高。本文首先阐述了化工生产的特点,然后以“自动化控制”为切入点,探讨了化工生产过程中的安全管理措施。

锂电池电芯电极自动装配系统的设计与实现

针对块状锂电池电芯电极装配时,电芯电极装配定位不准确、效率低、安全性不高等问题,研究锂电池电芯电极的装配要点和生产特征,设计一种电芯电极装配工艺流程和与之相匹配的执行机械结构,并结合现场总线网络通信技术,设计出电芯电极装配控制系统。从机械结构方面入手着重探讨电芯电极装配的电芯翻面供给结构、方位矫正与传输机构、多工位移送结构、电芯电极装配结构、绝缘纸粘贴结构和下料结构的六级联动装置,再基于西门子PLC搭建通信网络拓扑结构,设计出控制程序算法步骤实现零件自动上料、电芯电极的自动装配及自动移送和下料过程,并建立电芯电极装配全过程、可视化的在线管理系统。该电芯电极自动装配控制系统已经在锂电池生产企业中得到应用,经济效益明显。

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。

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。