Decision Making Support System(DSS)——A Synthesized and Integrated Crystallization of Systems Engineering, Artificial Intelligence and Electronic Technologies

I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artificial intelligence and electronic technologies is the technical supportfor the progress of systems engineering. INTEGRATION can be considered as "bridging" the ex-isting technologies and the People together into a coordinated SYSTEM.

A Quarter Century of Work to Revolutionize Architecture, Engineering and Construction Enterprise Information Systems

More than two decades ago, object-oriented representation of AEC （architecture engineering and construction） projects started to offer the promise of seamless communication of semantic data models between computer-based systems used from the design stage to the operation of the facilities. BIM （building information modelling） emerged and appeared as a means to store all relevant data generated during the life-cycle of the facilities. But this upstream view of the built environment, arising from the design and construction stages, extended to the downstream operations where building and industrial facilities appeared more and more as huge dynamic data producers and concentrators while being operated. This created new challenges leading to what is referred to as ISCs （intelligent and smart constructions）. The current state of the art is that final constructions still contain various and increasingly versatile control and service systems, which are hardly standardised, and not interconnected among themselves. Monitoring, maintenance and services are done by specialised companies, each responsible of different systems, which are relying on customised software and techniques to meet specific user needs and are based on monolithic applications that require manual configuration for specific uses, maintenance and support. We demonstrate in this paper that the early promises of integration across the actors and along the life-time of facilities have gone a long way but will only be delivered through enhanced standardisation of computerized models, representations, services and operations still not yet fully accomplished 25 years after work started.

Intelligent Control Scheme of Engineering Machinery of Cluster Hybrid System

In a hybrid system, the subsystems with discrete dynamics play a central role in a hybrid system. In the course of engineering machinery of cluster construction, the discrete control law is hard to obtain because the construction environment is complex and there exist many affecting factors. In this paper, hierarchically intelligent control, expert control and fuzzy control are introduced into the discrete subsystems of engineering machinery of cluster hybrid system, so as to rebuild the hybrid system and make the discrete control law easily and effectively obtained. The structures, reasoning mechanism and arithmetic of intelligent control are replanted to discrete dynamic, conti- nuous process and the interface of the hybrid system. The structures of three types of intelligent hybrid system are presented and the human experiences summarized from engineering machinery of cluster are taken into account.

Integrative Stability Analysis for A Class of Intelligent Control Systems

In this paper the integrative stability is studied for a class of intelligent control systems which are described by an octette structural model. Based on the definitions Of state reachability and stabilizability of intelligent control systems the analysis method and criterion of integrative stability are given.

Analyzing the Impact of Blockchain Models for Securing Intelligent Logistics through Unified Computational Techniques

Blockchain technology has revolutionized conventional trade.The success of blockchain can be attributed to its distributed ledger characteristic,which secures every record inside the ledger using cryptography rules,making it more reliable,secure,and tamper-proof.This is evident by the significant impact that the use of this technology has had on people connected to digital spaces in the present-day context.Furthermore,it has been proven that blockchain technology is evolving from new perspectives and that it provides an effective mechanism for the intelligent transportation system infrastructure.To realize the full potential of the accurate and efficacious use of blockchain in the transportation sector,it is essential to understand the most effective mechanisms of this technology and identify the most useful one.As a result,the present work offers a priority-based methodology that would be a useful reference for security experts in managing blockchain technology and its models.The study uses the hesitant fuzzy analytical hierarchy process for prioritizing the different blockchain models.Based on the findings of actual performance,alternative solution A1 which is Private Blockchain model has an extremely high level of security satisfaction.The accuracy of the results has been tested using the hesitant fuzzy technique for order of preference by similarity to the ideal solution procedure.The study also uses guidelines from security researchers working in this domain.

基于ArcGIS Engine的城市绿地生态网络智能规划系统研发与实证

针对现有城市绿地生态网络构建方法复杂多样、常用软件功能单一、规划支撑效果有限等问题,研发了城市绿地生态网络智能规划系统。将保护生物多样性、提升功能连接度作为城市尺度绿地生态网络构建的核心目标,统筹其他生态与社会服务功能,梳理和综合图论、生境质量评价、最小累积阻力模型和电路理论等生态网络模拟和分析方法,基于NET平台,采用ArcGIS Engine、C#、Python等技术,通过GIS二次开发方式实现系统各项功能,并以上海市闵行区为对象进行了实证分析。结果表明,系统可自动执行生态源地筛选、综合阻力面构建、生态廊道路径提取、生态廊道宽度确定、生态网络效能评价等技术环节,一键生成城市绿地生态网络布局结构,并实现不同情景的对比分析,为规划实践提供多情景、可视化的辅助决策。

Human Cyber Physical Systems(HCPSs)in the Context of New-Generation Intelligent Manufacturing

An intelligent manufacturing system is a composite intelligent system comprising humans,cyber systems,and physical systems with the aim of achieving specific manufacturing goals at an optimized level.This kind of intelligent system is called a human-cyber-physical system(HCPS).In terms of technology,HCPSs can both reveal technological principles and form the technological architecture for intelligent manufacturing.It can be concluded that the essence of intelligent manufacturing is to design,construct,and apply HCPSs in various cases and at different levels.With advances in information technology,intelligent manufacturing has passed through the stages of digital manufacturing and digital-networked manufacturing,and is evolving toward new-generation intelligent manufacturing(NGIM).NGIM is characterized by the in-depth integration of new-generation artificial intelligence(AI)technology(i.e.,enabling technology)with advanced manufacturing technology(i.e.,root technology);it is the core driving force of the new industrial revolution.In this study,the evolutionary footprint of intelligent manufacturing is reviewed from the perspective of HCPSs,and the implications,characteristics,technical frame,and key technologies of HCPSs for NGIM are then discussed in depth.Finally,an outlook of the major challenges of HCPSs for NGIM is proposed.

Probabilistic Rationale of Actions for Artificial Intelligence Systems Operating in Uncertainty Conditions

The approach for probabilistic rationale of artificial intelligence systems actions is proposed.It is based on an implementation of the proposed interconnected ideas 1-7 about system analysis and optimization focused on prognostic modeling.The ideas may be applied also by using another probabilistic models which supported by software tools and can predict successfulness or risks on a level of probability distribution functions.The approach includes description of the proposed probabilistic models,optimization methods for rationale actions and incremental algorithms for solving the problems of supporting decision-making on the base of monitored data and rationale robot actions in uncertainty conditions.The approach means practically a proactive commitment to excellence in uncertainty conditions.A suitability of the proposed models and methods is demonstrated by examples which cover wide applications of artificial intelligence systems.

Open multilevel hierarchic intelligent control system for eco-industrial system

In allusion to the characteristics of the open complex giant system, an open multilevel hierarchic intelligent control system is established for the eco-industrial system. With the idea of the open engineering system, using the hall for workshop of metasynthetic engineering （HWME）, intelligent control techniques, the expert system and the design of experiments are integrated within the framework of the nonlinear multiobjective decision support system to develop a robust, top-level design specification so as to make the system have the quality of adaptive control, self-organizing, self-learning and robustness. Finally, an illustrative example is given to clarify the effectiveness of the method.

Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences

Autonomous systems are an emerging AI technology functioning without human intervention underpinned by the latest advances in intelligence,cognition,computer,and systems sciences.This paper explores the intelligent and mathematical foundations of autonomous systems.It focuses on structural and behavioral properties that constitute the intelligent power of autonomous systems.It explains how system intelligence aggregates from reflexive,imperative,adaptive intelligence to autonomous and cognitive intelligence.A hierarchical intelligence model(HIM)is introduced to elaborate the evolution of human and system intelligence as an inductive process.The properties of system autonomy are formally analyzed towards a wide range of applications in computational intelligence and systems engineering.Emerging paradigms of autonomous systems including brain-inspired systems,cognitive robots,and autonomous knowledge learning systems are described.Advances in autonomous systems will pave a way towards highly intelligent machines for augmenting human capabilities.

INTELLIGENT DECISION ALGORITHM FOR FAULT DETECTION AND ITS APPLICATION

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Knowledge Engineering Application in maintainability Design and Analysis

With the development of automatic design and artificial intelligence techniques, intelligence already have been applied in maintainability design and analysis of military /commercial equipment. Expert system has been used in diagnosis, design analysis, testability design, etc. In this paper, we will discuss about knowledge engineering application in two types. One is integrated knowledge base system for maintainability, it's the baseline of concurrent, intelligence design and it's also suitable for the present situation in China that there is lack of maintainability engineers. The other application is expert system for formulating maintainability design criteria and it can take full advantage of experts' experiences and past cases. Under development trend of intelligence design, these two systems will have good effects on maintainability design and analysis.

An Urban Traffic Monitoring System Based on the ArcGIS Engine

The growing number of vehicles makes traffic jams and accidents significant problems. Making people get to know the real-time road condition can mitigate the effect of congestions greatly, but this is not supported by traditional traffic assistant systems. The intelligent traffic system is born to settle these problems. By making full use of the ArcGIS （Arc Geographic Information System） Engine characteristics, this paper designs and imple- ments an urban traffic monitoring system. The main functions of the system include the real-time road condition information display, layer-control, supervisory control management and the basic operations of a map. With the data collected by monitors deployed in intersections, different road conditions are calculated and shown with dif- ferent colors on the map and users can choose suitable roads to get away from the traffic congestion; meanwhile it can offer a reference for a traffic management department to make decisions on traffic control. The system has been deployed and shows high practicability and reliability in practical use.

面向用户的智能搜索引擎模型UOISE的研究

分析了传统搜索引擎所存在的问题,提出了一种面向用户的智能搜索引擎模型(User-Oriented Intelligence Search Engine,UOISE)和动态Q学习算法,UOISE模型由若干个Agent和知识库组成,针对用户个人信息以及用户的上网行为,分析用户的兴趣所在,从而推断出用户的意图,能有效地为用户提供真正需要的、即时的信息,为用户提供多层次个性化的信息服务。动态Q学习算法实现了Agent跟踪用户行为、推断用户兴趣的过程。对比实验表明,UOISE比普通检索工具具有更高的查全率和查准率。

INTELLIGENT SECURITY SYSTEMS ENGINEERING FOR MODELING FIRE CRITICAL INCIDENTS:TOWARDS SUSTAINABLE SECURITY

An intelligent security systems engineering approach is used to analyze fire and explosive critical incidents, a growing concern in urban communities. A feed-forward back-propagation neural network models the damages arising from these critical incidents. The overall goal is to promote fire safety and sustainable security. The intelligent security systems engineering prediction model uses a fully connected multilayer neural network, and considers a number of factors related to the fire or explosive incident including the type of property affected, the time of day, and the ignition source. The network was trained on a large number of critical incident records reported in Toronto, Canada between 2000 and 2006. Our intelligent security systems engineering approach can help emergency responders by improving cr^tical incident analysis, sustainable security, and fire risk management.

基于BIM+GIS的铁路四电工程智能建造方案研究

为实现BIM(Building Information Modeling)+GIS(Geographic Information System)技术在铁路四电工程建造过程中的应用,提出铁路四电工程智能建造方案。通过构建BIM族库、参数化建模、模型轻量化等技术手段,实现模型快速生成及项目各阶段数据的集成共享;设计BIM+GIS管理平台,将项目管理过程中的生产要素信息、管理要素信息与BIM模型信息、GIS技术深度融合,满足不同管理部门、不同层级用户的三维可视化、数字化、全要素信息建设管理精益化需求,实现铁路四电工程项目的数字化交付。应用表明,该方案可为推动BIM+GIS技术在铁路四电工程的应用发展提供技术支撑。

矿业系统工程60年发展与展望

矿业是以安全高效绿色开发和清洁高效低碳利用矿产资源为目的行业,也是经济社会发展的基础行业。为了使矿业开发更加经济、考虑的因素更加全面、设计和开发过程更加优化,20世纪50年代末期,将运筹学和计算机技术引入到了矿业工程,形成了矿业系统工程这一新的学科分支。早期的矿业系统工程主要是以采矿生产过程优化和计算机在矿山设计、采掘计划编制、信息处理、应用软件开发为主,且多以露天矿为研究对象。近年来矿业系统工程研究紧密结合大数据、人工智能、网络技术等,在矿山信息网络构建、运销系统、智能开采、设备管理、安全管理等方面取得了丰硕成果。详细阐述了矿业系统工程的起源和发展过程,并以运筹学和计算机在矿业中的应用国际会议(APCOM),尤其是已经举办的十五届全国矿业系统工程学术会议为脉络,客观地总结了矿业系统工程的发展过程和研究内容演变。以CNKI数据库为数据基础,通过聚类分析,研究了近20 a矿业系统工程的刊文量和研究对象及其变化。矿业系统工程的未来发展应聚焦于系统科学思想与现代采矿技术的结合,建立科学的系统及其边界,比如科学采矿系统、矿山全生命周期系统、智能矿山系统等八大系统,矿业系统工程的发展将更加注重数字化、智能化、可持续发展、信息化和自动化等方面的创新和应用,同时将不断拓展其应用领域,以实现矿业开发的最优化、高效化、绿色化和低碳化。

Online Dispatching Decision Support System for Smart Grid Reservoir Group

Based on the full use of historical reservoir dispatching information, artificial intelligence is applied to grid reservoir group dispatching. A knowledge representation method, which combines dispatching rules and intelligence models, is put forward. The intelligent dispatching system is established and the system architecture is presented. Additionally, the acquisition, representation and reasoning mechanism of reservoir dispatching knowledge are designed in detail.

智能制造背景下工业工程专业课程体系探究

根据《中国制造2025》的相关要求,为充分适应智能制造背景下产业发展对人才的需求,高等院校工业工程专业在办学过程中,需要对课程体系进行进一步完善,以适应产业发展对高素质人才的需要。该文结合高校工业工程专业办学过程中课程体系设计存在的问题来展开探究,从制约院校办学水平的因素出发对智能制造背景下对工业工程专业课程体系如何适应时代发展需要提出有针对性的建议,以此来助力高等院校工业工程专业的跨越式发展,提升院校人才培养质量。