Research on Key Points of Design of Standard Plants in Modern Industrial Parks Under the Background of Promoting the Development of New Quality Productive Forces

With the progress of science and technology and the acceleration of industrialization,the modern industrial park is an important carrier of industrial development.The importance of its standard plant design has become increasingly prominent.With the development of new quality productive forces as the background,this research deeply discusses the key points of standard plant design in modern industrial parks.This paper uses literature review and case analysis to systematically analyze the important role of standard plant design in developing new quality productive forces in modern industrial parks and puts forward suggestions for optimizing design.It is found that the rationality,intelligence,and environmental protection of plant design are the key factors affecting the development of new quality productive forces.The paper summarizes the core points of modern industrial park standard plant design to provide a reference for the future development of related industries.

Design of the University Building Corridor Intelligent Lighting Control System

This paper introduces the traditional lighting control mode and analyzes of defects in three ways, so this paper puts forward four kinds of working mode of intelligent lighting control system. Combined with the working pattern, this paper designs an intelligent lighting control system to analyze the application advantages of intelligent system.

Intelligent Design and Implementation of Missile Fire Control System

Missile fire control system is the core of ship-based missile weapon system, whose safeguard level has direct relation with the attack ability of naval vessels. After a long period of deep investigation and research, it was found that, in one missile fire control system, there are such problems as single safeguard system, low ratio of cost to efficiency, etc. By adopting intelligent control techniques and many measures to multiple securities, the new type of assistant system is designed, some difficult problems are solved, such as fixed project channel and unitary means of missiles, which can make the equipment carry out combat mission reliably and continuously.

The Realization of the Most Economical and optimized Control System

In order to plow an access to low cost automation, the method to set up the most economical and optimized control system is studied. Such a system is achieved by adopting the field bus technologies based on net connection to form the hierarchical architecture and employing genetic algorithm to intelligently optimize the parameters of the topology structure at the field execution level and the parameters of a local controller. Praxis has proved that this realization can shorten the system development cycle, improve the system's reliability, and achieve conspicuous social economic benefits.

Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, respectively.Then, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation significantly.Finally, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

HUMAN-IMITATING INTELLIGENT CONTROL AND TRIPLE INVERTED-PENDULUM

A 'Human-Imitating Intelligent Control Theory' with 'generalized reduction' and 'Human Imitating' concepts as its kernel is proposed. And a world puzzlein the control circles is solved successfully based on this theory. The puzzle is thewell-known 'triple inverted pendulum control' using a SINGLE motor. A human-imitating intelligent technique to control inverted pendulum is here described. The success. ful experimental results show that our control objective can be achieved without a precise mathematical model of the plant. Finally, general principles of designing complexautomatic control systems based on the human-imitating intelligent control theory areconcluded.

Review on key technologies and typical applications of multi-station integrated energy systems

To realize the low-carbon development of power systems,digital transformation,and power marketization reform,the substation,data center,energy storage,photovoltaic,and charging stations are important components for the construction of new infrastructure.The integration infrastructure represented by multi-station integrated energy systems(MSIESs)represents the development trend,and its connotation and denotation are not immutable.This study firstly analyzed the components of MSIESs and their sub-stations and overall characteristics,and proposed an overall architecture for MSIESs.Thereafter,this system was characterized in detail from three aspects:planning and design,operation control,and market operation.The planning and construction of MSIESs was analyzed from the aspects of planning and design process,typical fusion subsystems,supply and demand prediction,and capacity determination;the operational control of MSIESs was analyzed from the aspects of model construction,coordination control,and safety assessment.Moreover,the market operation of MSIESs was examined from the aspects of the business model and spot market.Furthermore,the technical development trend of MSIESs has been explored in this study.

Developing of the EV charging and parking shed of BIPV

Building-integrated photovoltaic(BIPV) is an important application way of solar photovoltaic power. The electric vehicle(EV) charging and parking shed of BIPV is the regeneration energy intellectual integration demonstration application system collection of photovoltaic(PV) grid power,PV off- grid power,EV charging and parking shed,and any part of the functions and their combination will be engaged in practical application on demand. The paper describes the PV shed system structure and design in detail with the present of its actual photos. The shed is 50 m long and 5.5 m wide and capable of parking 18 cars. Under the control of system intellectual controller,the power produced by PV from sunlight will charge the parking EV car prior to charging the storage battery,charging the storage battery prior to grid power,grid power at last,and charge the EV by utility grid when it is a cloudy or rainy day.

Design of Industrial Quenching Processes

The method of designing industrial processes of quench cooling, in particular, the speed of the conveyor movement with regard to shape and sizes of parts to be quenched, thermal and physical properties of material and cooling capacity of quenchants has been developed. The suggested designing method and databases are the basis for the complete automation of industrial processes of quench cooling, especially for continuous conveyor lines, with the purpose of making high-strength materials. The process is controlled by infrared technique.

虚拟现实技术在智能插秧机中的应用

为进一步提升我国智能插秧机的作业效率与插植准确度,基于虚拟现实技术理念针对其结构设计及作业控制展开研究。在充分理解智能插秧机的结构组成与作业要求实现的基础上,运用VR控制理念,建立VR可视化设计模型平台,融入北斗定位及VR矩阵元素等核心技术,形成完整的智能插秧机作业系统,并展开有效性的插秧作业试验。试验结果表明:将虚拟现实技术应用于智能插秧机,实现了插秧作业性能的整体提升,在VR可视化的监测与调偏功能运用下,控制准确率相对提高了8.83%,合格率相对提高了6.76%,秧苗利用率亦得到明显提升,对于插秧装备的无人化和智能化及多范围、多地区推广起到了积极作用,可为类似农机装备的优化创新提供很好的思路与方向。

水电站边坡智能爆破设计与管控系统研究

水利工程爆破施工具有周期长、规模大的特点,传统爆破设计与施工管控方式难以满足当前水利工程的建设和发展要求,研究建立平台化、网络化、智能化的爆破设计与管控系统具有重大的工程意义。基于BIM、WebGIS和已开发的爆破设计软件,利用Angular框架和SpringBoot框架,采用前、后端分离式方法开发了智能爆破设计与管控系统,系统由智能爆破设计模块、三维可视化模块、数字化爆破管控模块以及智能安全评价及预测预警模块四个功能模块组成,实现了智能爆破设计与全流程爆破审核功能一体化,能够根据现场实际施工情况,采用模型参数化动态联合裁剪方法,选取开挖轮廓线上的控制点进行智能爆破设计,生成爆破设计方案,并将设计方案上传审查,有效地促进了爆破全流程的标准化、信息化、数字化管理,加强设计、施工、监理等单位的实时交互办公。该系统在叶巴滩水电站边坡爆破开挖工程的应用结果表明,系统能有效进行爆破设计,并提高管控效率,可为水电站边坡爆破设计开挖施工提供技术支持。

新工科背景下“正/逆向设计加工”课程实践体系的探索与实践

阐述了长安大学现代工程训练中心建立的“正/逆向设计加工”课程实践体系的主要内容和实施效果。体系以教学融合+创新实践的方法进行构建,融合“CAD”“3D打印”“逆向工程”“CNC数控加工”等知识内容,采用递进式教学打破课程孤岛,鼓励学生自主创造,坚持全贯穿式教学实践环境。为培养新工科背景下的智能制造复合型人才提供了新型教学思路,对推动高校工程训练教学改革具有一定的借鉴意义。

新能源汽车的驱动电机系统研究和设计

通过改变新能源汽车的能源消耗方式,能提高节能减排工作效果,促进新能源开发利用工作顺利进行,保证社会经济实现可持续发展。科学技术的发展决定着新能源汽车的研发进程,驱动电机系统作为新能源汽车的关键点,涉及新能源汽车研发的核心技术,相关人员要注重新能源汽车的驱动电机系统研究和设计,提高设计的合理性。

新能源汽车非接触式远程无线充电系统优化设计与分析

无线充电技术作为一种创新的充电方式,为新能源汽车提供了更加便捷和高效的充电体验。为了进一步提高无线充电距离与充电效率,基于磁耦合感应式静态非接触充电技术,提出“双接收线圈”充电方案,阐述了磁耦合感应式非接触充电系统结构组成与工作原理,并对双接收线圈系统的智能控制系统进行优化设计。试验结果表明,与单接收线圈系统相比,能够更高效地将电能传输到新能源汽车,减少了能量损失,降低了充电时间和能源成本。研究结果旨在推动新能源汽车的普及和无线充电技术的进一步发展,为新能源汽车充电基础设施提供了一种更加高效和便捷的解决方案。

可持续迭代的村镇人居环境设计体系研究

目的为建构可持续建设与有机更新下村镇人居环境设计的基本框架,揭示其在不同发展阶段、地域特征和建设主题下村镇人居样本的应对性设计原则与理论,总结村镇设计在经济、社会、技术影响下的迭代及在地化应变,探讨未来村镇人居环境设计的前沿模式。方法基于可视化文献分析法,对可持续村镇人居环境设计进行系统的脉络梳理,并根据可持续设计的路径推演、要素解析、模式特征进行村镇人居环境设计体系的框架搭建,提出村镇人居环境设计的基本原则与适配化设计技术路线。结果构建了可持续人居建设迭代下的村镇人居环境设计体系,通过解析可持续设计的基本构成要素,分析了村镇人居环境可持续设计的动力机制,揭示了其在需求侧、供给侧和承载侧的基本特征及三者的联动关系,提出了四项村镇人居环境可持续设计的基本原则,并总结出三点分类适配化设计思路。结论以综合设计视角,探讨未来中国村镇转型下的设计思想与技术脉络,根据时代背景、在地特征、未来场景,采取动态应变与适配的原则,提出可持续设计模式、方法与路径,为设计学相关研究者、决策者和执业人员提供理论梳理和实践指导。

建筑智能化方案精准设计方法探索

以智能建筑的顶层设计为基础,在比较不同智能化系统优劣的基础上,提出基于约束条件的智能化设计方案的整体比较方法,为业主智能化设计的投资优化方案提供指导。同时,构建MATLAB模型以简化计算过程,实现设计方案的便捷比较和直观展示,助力精准控制方法在实际应用中的优化。

天津市智慧疾控实验室信息管理系统的设计与实现

目的为加强和提高疾控机构实验室能力建设和管理水平提供信息化支撑。方法基于JavaEE技术体系及三层结构,设计并开发天津市智慧疾控实验室信息管理系统(包括实验检测过程管理、质量体系管理、资源与安全管理,配置信息管理四大类功能模块)。结果该系统整合疾控系统实验室管理信息,具有业务便捷受理、任务自动分派、原始记录关联、结果快速录入、报告智能撰写等功能,上线运行后实现了疾控实验室检测智慧化、管理规范化。结论实现了病原微生物、卫生产品、放射个人剂量实验检测流程管理,满足了网络安全三级等级保护要求,提高了疾控实验室规范化、智慧化管理能力和水平。

兆瓦级高效紧凑型核动力系统运行特性研究

为研究兆瓦级高效紧凑型核动力系统的运行特性,使用自主开发的热管堆瞬态分析程序TAPIRS(Transient Analysis code for heat Pipe and AMTEC power conversion space Reactor power System)和超临界二氧化碳布雷顿循环的瞬态分析程序SCTRAN/CO_(2)(Super Critical reactors Transient Analysis code/Carbon Dioxide)的耦合程序对其反应性、负荷、冷却水温度和流量等扰动进行了开环动态响应分析,并据此进行了控制系统设计。在此基础上,对线性变负荷、阶梯式变负荷以及甩负荷这三种变负荷运行工况进行了计算分析。结果表明:该核动力系统的转速对扰动的变化较为敏感,需要加以控制;低负荷下旁通会使压缩机流量上升,需对压缩机流量加以控制;系统在控制方案下能以6%FP(Full Power)·min^(−1)的速度实现0%~100%的负荷变动,且可以在任意负荷水平下运行;甩负荷下系统的波动时间变长,但是仍可达到新的稳态进行工作,且各参数处于安全范围内。本研究可为新型核动力系统的概念设计提供参考。

新文科语境下智能技术融入产品设计专业教学路径探索

以新文科背景下的人工智能技术发展趋势为出发点,构建智能技术融入产品设计专业教学路径,提高学生的理论学习与实践能力,从而提升其未来的职业竞争力。文章对产品设计教学内容进行整合,提炼出智能技术融入专业教学的路径,构建人工智能语境下的教学内容横向知识逻辑和纵向进阶式教学流程,探索智能技术融入的“教—学—用”育人路径,并明确智能技术在专业课程中的引入范围、引入方式和应用智能技术验证创意思路和设计实践效果,为产品设计专业教育领域的变革提供可参考的范式。

面向智能辅助决策的飞行器安控系统构建研究

新一代人工智能技术能够提高飞行器试验安控系统的辅助决策能力,满足地面安控目标数量增多、故判规则量增大、故判时效性高等新需求,具有广阔的应用前景。在对飞行器试验地面安控需求分析的基础上,设计面向智能辅助决策的地面安控系统总体框架,增加了数据与模型管理模块;接着构建了辅助决策知识库,主要包括故障弹判据、速度判据、位置判据和预示落点判据等规则库;在此基础上提出数据和规则协同驱动的故障预测方法。该系统既利用历史积累试验数据对深度神经网络模型进行训练,又利用规则库提高专家经验对模型预测精度的贡献,能够提高故障智能预测能力,满足飞行器安控智能辅助决策需求。