A general Boolean semantic modelling approach for complex and intelligent industrial systems in the framework of DES

Discrete event system(DES)models promote system engineering,including system design,verification,and assessment.The advancement in manufacturing technology has endowed us to fabricate complex industrial systems.Consequently,the adoption of advanced modeling methodologies adept at handling complexity and scalability is imperative.Moreover,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the model.In this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the model.In traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone process.Compared with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new semantic.Thus,this general modeling approach has wide potential for future complex and intelligent industrial systems.

Monitoring and Environmental Assessment of Seawater in West Central Africa: Case of the Kribi Industrial and Urban Port Complex in Cameroon, Guinea Gulf

This study is the first of a series of a project on the development and implementation of environmental protection policies, before, during and after the construction of the Kribi Industrial and Urban Port Complex (KIPC). The results will equip the State and scientific structures concerned with the protection of people, water resources and the environment as a whole. This includes reference data on the state of marine pollution in the region dating from the end of realization of the first phase of KIPC known as Kribi Deep-Water Harbor (KDWH). Accordingly, the aim of this work is to assess the current state of KIPC and its surrounding by quantifying the preliminary parameters of suspended matter (SM);to analyze the physical and chemical parameters, chemical pollution indicators for anions and major cations and organic pollution indicators of four water samples taken from four different sites in the project area by filtration and weighing, pH meter, turbid meter, titration, colorimetry and titrimetric methods. The analysis of these samples and these parameters provides results which are slightly similar to international standards. This suggests that the environment remains relatively healthy. Hence, continuous management and monitoring of the parameters and pollution factors is strongly recommended.

Reuse of Industrial Heritage Based on “Leisure-Holiday Tourism Complex”

Tourism development, as a novel approach in the reuse of industrial heritage, is conducive to the settlement of issues of urban industrial heritage conservation. However, in practical terms, the development of industrial heritage as tourist resources, has encountered problems including monotonous development projects, the lack of tourism facilities, low economic efficiency, poor sustainability of project operation, etc.. This paper, based on the transformation plan of Salt Manufacturing Plant in Qingjiang County of Zhangshu, Jiangxi, proposes that a leisure-holiday tourism complex can be used as the development model of the reuse of industrial heritage at a time when the reuse of industrial heritage is advised to shift from a single mode to a compound mode. Specifically, it is suggested that industrial raw materials are developed into tourism resources to fully excavate relevant history and culture, for the purpose of achieving the coordinated economic and social growth of the reuse of industrial heritage.

Analysis and evaluation of structural complexity of circular economy system＇s industrial chain

This paper examined the method to evaluate structural complexity of circular economy system＇s industrial chain, which applied entropy information and hierarchical metrics to produce complexity degrees according to the theory of complex system. We developed an evaluation model to make a general metrics for circular economy system of industrial chains. The development of the evaluation tree drew upon five factors to identify the structural complexity. The evaluation model generated unitive entropy information from six data definition （node, level of community, metabolic span, degree of node, number of relation and connectivity of node） according to the evaluation tree. The industrial chains of Tashan circular economy park of Datong Coal Mine Group and Gujiao circular economy park of Xishan Coal-Electricity Group were evaluated by the proposed method. The key factors stunted by the decline of structural complexity were identified and the unitive metrics of entropy information of the industrial chain was shown for realigning the circular economy systems.

Heterogeneous Degradation of Dyes in Industrial Effluent over Fenton-Like Nano-Fe₂O₃/Goldmine Complex

Nano-Fe2O3/goldmine complex was obtained by chemical coprecipitation reaction on the surface of goldmine waste-solid. Being used as the heterogeneous catalyst in Fenton-like advanced oxidation processes (AOPs), its treatment effect was studied in the removal performance of industrial dyes effluent. Although the maximal COD removal efficiency would reach 35.4% when 5 mL NaClO was added in 100 mL industrial dyes effluent, it is found that by using nano-Fe2O3/goldmine system, the COD removal efficiency of 13,000 mg/L dyes wastewater could reach up to 75.5% in the presence of 30 g/L nano-Fe2O3/goldmine complex and 50 mL/L NaClO at 50。C.

Practical Research on Green Complex with Industrial Heritage as the Core

In the context of ecological civilization construction in the new era,the development of highquality cities places more emphasis on resource integration and multi-party coordination.The exploration of the concept of green complex has proposed a new path for urban double repair and urban renewal.The green complex centered on industrial heritage has achieved the combination of industrial heritage activation and utilization with natural ecosystem restoration,which is of great significance for sustainable and healthy urban development.Based on the landscape design of the main exhibition area of the 11th Jiangsu Garden Expo,the application of green complex in industrial heritage protection is explored.By integrating industrial heritage relics,green activity spaces,urban public resources,and natural environment in the form of green complex,it promotes the coordinated development of various functions and creates a new type of green inclusive city.

Generic reconstruction technology based on RST for multivariate time series of complex process industries

In order to effectively analyse the multivariate time series data of complex process,a generic reconstruction technology based on reduction theory of rough sets was proposed,Firstly,the phase space of multivariate time series was originally reconstructed by a classical reconstruction technology.Then,the original decision-table of rough set theory was set up according to the embedding dimensions and time-delays of the original reconstruction phase space,and the rough set reduction was used to delete the redundant dimensions and irrelevant variables and to reconstruct the generic phase space,Finally,the input vectors for the prediction of multivariate time series were extracted according to generic reconstruction results to identify the parameters of prediction model.Verification results show that the developed reconstruction method leads to better generalization ability for the prediction model and it is feasible and worthwhile for application.

Sustainable Industrial Community

Nowadays, the style of living that significantly depends on consumption of resources and over consumption patterns, tremendous increase in population, urbanization and industrialization resulted into generation of huge amounts of industrial wastes. Many environmental problems are facing industrial areas, especially in developing countries, due to poor industrial hazardous waste management. In order to reduce the effect of industrial waste on the environment and to reach sustainable development, countries have developed and reinforced several environmental protection laws and regulations. Yet, the waste disposals via incineration and/or landfilling according to cradle-to-grave concept require high capital, high running costs and are seen by industries as a barrier for further industrial development. Most importantly, disposals of waste deplete natural resources causing them to be unsustainable. Hence, various concepts and strategies have been suggested to promote industrial sustainability. The aim of this paper is to present different concepts and practices including Cradle-to-Cradle approach, Cleaner Production, Industrial Ecology, Eco-Industrial Park and Environmentally Balanced Industrial Complex described in literature that help develop a successful sustainable industrial community and reach zero pollution. These concepts are illustrated via case studies. Moreover, this paper tackles the challenges facing industrial areas in Egypt and emphasis on the imperative need for considering sustainable industrial community.

Industrialization of Old-age Tourism in Yunnan

Faced with the supply-side reform of the tourism industry, the industrialization of Yunnan oldage tourism will be an inevitable attempt to subdivide the tourism market in Yunnan. Based on the concept of old-age tourism, this study put forward the regional structure of Yunnan’s old-age tourism industry, and pointed out the development direction for the "one center and six districts" of Yunnan old-age tourism. Then from the perspective of system theory, the concept of the old-age tourism complex in Yunnan Province was proposed. At the same time, from the perspective of operation management system, oldage tourism accommodation system, old-age tourism passenger transport system, ethnic cultural products, ecological health products, arts and crafts, health services and rural old-age tourism, the construction idea of the old-age tourism complex in Yunnan Province was proposed.

Hart Crane:A Romantic Poet of the Complex Genre of High Modernism

For many decades Herold Hart Crane,an American poet,who played a very important role in the development of Modern American Literature in the early decades of 20th century,had been considered as a romantic poet by many critics for his romantic verses.His poetries are considered not only the reflection of the contemporary social phenomenon,ideology,and thoughts,rather they are prophetic.On the other hand,in the early decades of 20th century,in American society,modernism marked a simultaneous movement which tremendously affected the emergence of new values in field of politics,economy,lifestyle,literature,and literary thoughts.The influence of rapid industrializations and the First World War not only changed the philosophy of human life,but also changed the writing style of the contemporary American writers.The new crowded urban life,which is a result of rapid industrializations,and the fear of war made the human being selfish.Humans lost his romantic attitudes towards the literature.A complexity emerged.Hart Crane also could not avoid this complexity.If we study his life style,philosophy of life,and poetic diction,we will surely confine his intelligence not between romanticism and modernism separately.Rather,we can call him a Modernist Romantic poet.In short,Crane can be declared as a romantic poet of the complex genre of high modernism.

Semantic Complex Event Detection System of Express Delivery Business with Data Support From Multidimensional Space

The express delivery induslry of China is relatively backward in the automation degree of critical business processes. The basic reason is that the business-related supporting data, which is scattered in the multidimensional space, is difficult to utilize and process. This paper proposes an automatic data acquisition fi-amework to resolve such difficulty, which synthetically utilize intelligent inemet of things （IoT）, semantic web and complext event processing （CEP） technology. We also implement a SCEP prototype system with the capability of real-time detecting complex business events on the goods sorting line, which adopts a detection method consisting of four stages. The simulation results show that the system has good performance and feasible enough to deal with the complex business which need data support fTom multidimensional space.

高技能人才培养与产业需求适配模式研究——复杂适应系统视角

快速培养与产业需求相适配的高技能人才,需要构筑产业人才生态圈,并将各利益相关方凝结成命运共同体。命运共同体超越了一般意义上的利益共同体,是具有生命特质的复杂适应系统。由此构建适应性集群模式,为提升高技能人才培养与产业需求的适配性提供模型参照。适应性集群模式的内容包括目标、原则、适用领域、组成要素、运行方式、应用价值等,并给出实践建议。此模式创新之处在于关注到外部环境的重要作用,强调要符合适应性协同和动态集群的客观规律。

数字经济赋能高技术制造业出口技术复杂度——基于20112020年中国30个省市的面板数据

基于20112020年30个省市的面板数据,从数字基础设施、数字发展环境和数字应用产出三个维度构建数字经济发展指标,运用中介和门槛效应模型实证检验了数字经济对中国高技术制造业出口技术复杂度的影响。结果表明,数字经济显著提升了高技术制造业出口技术复杂度,且影响具有非线性特征。进一步研究发现,数字经济对技术密集型制造业出口技术复杂度的影响更为显著,数字基础设施对资本密集型高技术制造业影响更显著。机制检验表明,数字经济提高了区域创新水平,降低了区域交易成本,进而促进了高技术制造业出口技术复杂度提升。

高技术复杂度工业机器人与全球价值链生产环节攀升

在科学识别工业机器人技术复杂度和价值链生产环节偏优指数的基础上,从多维度剖析高技术复杂度工业机器人对制造业全球价值链生产环节攀升的作用机制,并检验高技术复杂度工业机器人的“断供”威胁应对效应。得到的结论主要有:(1)高技术复杂度工业机器人对制造业全球价值链生产环节攀升具有促进作用。高技术复杂度工业机器人不仅能推动制造业生产技术与工艺从后发跻身准前沿和前沿,还能提升产业链关键核心环节的自主可控程度。(2)高技术复杂度工业机器人不仅有助于提升产业的价格加成能力,还有助于提升高端要素资源汇聚能力,更能提升政府支持的概率,上述渠道也使高技术复杂度工业机器人对生产环节攀升表现出正效应。(3)高技术复杂度工业机器人不仅能降低样本国对美国中间品的依赖程度,还能降低其对美国和主要盟友中间品的依赖程度。为此,高技术复杂度工业机器人能有效降低美国及其主要盟国“断供”威胁的不利冲击。(4)全球价值链生产环节偏优指数过高和工业机器人技术复杂度偏低共存窘境,使中国工业机器人应用深陷“量大技术弱”和对全球价值链生产环节攀升促进作用相对有限之痛,破解这一痛处的关键在于不断提升中国工业机器人技术的前沿性。

建设统一大市场视角下高技术产业集聚对出口技术复杂度的门槛效应研究

本文以2009—2020年中国31个省份的高技术产业相关数据为样本,利用固定效应模型和门槛回归模型,从建设统一大市场视角探讨了高技术产业集聚对出口技术复杂度的影响。研究发现:第一,高技术产业集聚对出口技术复杂度整体上促进作用显著;第二,高技术产业集聚对出口技术复杂度存在市场一体化水平的单重门槛;第三,根据区域异质性检验可知,在中部和西部地区,高技术产业集聚对出口技术复杂度的促进作用更强,而在东部地区较小。基于此,本文针对促进高科技产业发展的问题提出相关建议,以供参考。

基于复杂网络的突发事件下汽车产业供应链韧性研究

汽车产业供应链中,各企业间由于合作伙伴关系或者竞争关系而产生的交互作用影响整个供应链网络,加之其参与主体众多,更易受到各种突发事件的干扰影响网络韧性。文章以复杂网络模型为基础,收集中国经济金融研究数据库数据库汽车供应链板块中141家车企数据构建复杂网络关系矩阵模型,通过复杂网络特性分析对所构建的网络模型进行检验。采用目标干扰和随机干扰两种方式来模拟突发事件产生的供应链中断情景,由矩阵工厂和大型复杂网络分析工具对网络进行仿真实验,通过最大连通子图所表示的弹性性能和效率性能两项数据来观测网络稳定性,得出提升汽车产业供应链韧性的方法。

高端装备制造业贸易强度如何影响出口技术复杂度?——基于中国-东盟样本数据的分析

文章基于2010-2020年中国与东盟国家高端装备制造业贸易网络,运用高维固定效应模型考察高端装备制造行业贸易强度对出口技术复杂度的影响。研究结果显示:中国与东盟国家间的贸易强度对一国高端装备制造业出口技术复杂度的提升具有显著的正向影响,且贸易开放、技术创新是重要的作用机制。相较于轨道交通装备行业,贸易强度对航空装备、卫星及应用等其他领域的高端装备出口技术复杂度的提升效果更为显著。由此提出合理布局区域贸易网络、深化贸易开放和重视技术创新等对策建议,为推动我国高端装备制造业技术升级提供思路借鉴。

Application of a Bayesian Network Complex System Model Examining the Importance of Customer-Industry Engagement to Peak Electricity Demand Reduction

This paper explores the importance of customer-industry engagement (CIE) to peak energy demand by means of a newly developed Bayesian Network (BN) complex systems model entitled the Residential Electricity Peak Demand Model (REPDM). The REPDM is based on a multi-disciplinary perspective designed to solve the complex problem of residential peak energy demand. The model provides a way to conceptualise and understand the factors that shift and reduce consumer demand in peak times. To gain insight into the importance of customer-industry engagement in affecting residential peak demand, this research investigates intervention impacts and major influences through testing five scenarios using different levels of customer-industry engagement activities. Scenario testing of the model outlines the dependencies between the customer-industry engagement interventions and the probabilities that are estimated to govern the dependencies that influence peak demand. The output from the model shows that there can be a strong interaction between the level of CIE activities and interventions. The influence of CIE activity can increase public and householder support for peak reduction and the model shows how the economic, technical and social interventions can achieve greater peak demand reductions when well-designed with appropriate levels of CIE activities.

化工园区事故情景耦合演化的复杂网络分析

为进一步研究化工园区事故易因耦合效应引发事故升级等问题,首先,以化工园区储存环节为研究对象,从要素及关系2个角度构建涵盖人因层、物质层、环境层、管理层、组合层及事故层的典型事故情景要素框架体系。然后,基于拓扑理论及相关方法,构建化工园区典型事故情景复杂网络模型,分析复杂网络的统计特征,确定节点的网络贡献度和连接边的脆弱性,探究最大可能的致因路径,并结合事故的演化特征提出断链视角下的应急响应对策。最后,引入案例分析其最大致因路径,并提出相关事故的预防措施。研究结果表明:初期是化工园区事故控制的关键时期,加强员工培训是强化初期处置的重要手段之一,点火源是事故耦合升级的关键因素之一;本文构建的化工园区事故情景演化复杂网络模型具有较好的实用性,案例分析得到的最大致因路径与实际情况基本相符。研究结果可为化工园区的事故防控及演化控制提供一定参考。

基于靴襻渗流模型的国际信息通信产业贸易前景分析

信息通信技术(ICT)产业是国际数字经济发展的核心产业,交互贯通的国际ICT产业贸易网络能够客观反映出ICT产业贸易的时空分异格局。本文运用复杂网络分析方法探测国际ICT产业贸易网络的基础拓扑特征及中心性特征,同时运用靴襻渗流模型讨论ICT产业贸易的危机传播过程。研究发现,国际ICT产业整体贸易强度有所扩大,呈现出明显的区域集中化趋势,但贸易联系的整体活跃度、贸易范围和网络传输效率都明显降低;主要ICT产业贸易国(地区)整体的危机传染力高于以往,防控核心贸易国(地区)的点危机与预防核心板块的区域性联动危机相结合将是阻止危机全球蔓延的有效举措。