融合IFC语义信息与几何相似性的BIM构件实例信息提取方法

建筑信息模型(BIM)能够对建筑结构、部件组成及其业务语义属性进行准确表达,在智慧城市时空底板建设及建筑物“规、建、养、运”全生命周期数字化管理中发挥着重要的作用。BIM模型的数量级大、引用关系与层级结构复杂,增加了BIM构件实例信息的提取难度,从而导致目前的CIM平台难以直接利用BIM构件实例信息实现轻量化的数据传输、流畅的可视化及BIM分析计算。针对此问题,本文提出了一种融合IFC语义信息与几何相似性的BIM构件实例信息提取方法,在充分考虑IFC几何引用语义信息的基础上,使用ICP算法和豪斯多夫距离计算几何相似性,实现对BIM构件实例信息的精确提取;此外,还针对BIM场景中常见的拉伸体构件,提出了一种基于特殊拉伸体的实例信息快速提取方法;最后选取了5个不同BIM专业的试验示例数据进行详尽分析。试验结果显示,本文提出的BIM构件实例信息提取方法在各种示例数据中的文件平均压缩率为29.79%,能够显著地减小文件体积;在BIM构件实例信息提取能力方面,实现了79.41%的平均构件实例化率及22.47%的平均实体压缩率,且每个实例化构件平均包含的子构件数量高达49.24。本文方案可以充分提取IFC文件中的BIM构件实例信息,能够为海量BIM模型的轻量化提供强有力的技术支撑。

基于IFC的轨道交通BIM构件标准库研究

针对轨道交通工程的建筑信息模型(building information modeling,BIM)建模方法不统一、信息不规范,导致BIM模型数据难以在后期有效统一应用的弊端,研究基于工业基础类(industry foundation classes,IFC)标准的轨道交通BIM构件标准库。首先,根据轨道交通工程各专业构件的表达需求,研究构件类型、构件信息的IFC表达,以及适配IFC标准的扩展机制;其次,提出轨道交通BIM构件标准库技术框架,主要包括基础数据层、技术支撑层、应用场景层、用户层;然后,采用国家标准的分类编码方法定义轨道交通各专业BIM构件的分类编码,设计了构件信息模板,规范各专业构件的属性信息及其资源链接方式;最后,研究BIM构件模型的加解密方法,以保障轨道交通工程BIM模型数据的安全性。研究结果表明,通过搭建统一的BIM构件标准库,能够促进参建方采用标准化的BIM构件模型创建轨道交通BIM项目模型,保障BIM模型的规范性。

基于IFC的建筑结构设计信息交互框架研究与实现

为了解决基于BIM的建筑与结构设计工作模式中信息交互度低的问题,提出了基于IFC的建筑结构信息交互框架。该框架由4个算法模块、5个步骤组成。借助于IfcOpenShell工具包,用Python语言开发了前两个算法模块即IFC文件优化算法模块和结构信息模型提取算法模块。选取案例模型对所开发算法的有效性进行了验证。验证结果表明:优化算法模块可以有效地过滤IFC文件中的无用信息,查找并删除重复的实体,使IFC文件轻量化,且可间接提高提取算法模块的运行效率;提取算法模块可以准确地从IFC文件中提取结构信息模型,未出现IFC语法错误、构件丢失、构件重叠等情况。IFC文件优化算法模块和结构信息模型提取算法模块的成功开发为信息交互框架的完全实现奠定了基础。

基于IFC拓展模型的邻近施工对既有地铁隧道变形影响研究

随着土木行业的信息化发展,BIM技术在土木工程中的应用不断拓展。为解决以往邻近施工过程中难以准确反映施工加卸载对既有建(构)筑物影响的问题,文章依托某邻近既有地铁隧道施工的建筑工程,首先在概述IFC模型多种拓展机制并对比其优缺点的基础上,对BIM模型进行IFC属性集工况信息拓展;然后,通过数值模拟方法,进行邻近施工加卸载荷载模拟,并据此建立IFC实体数据与加卸载施工对地铁隧道变形影响值的数学定量关系;最后,基于IFC模型中的几何数据信息及拓展属性信息,提出能够直观展现施工加卸载对既有地铁隧道变形影响的信息化方法,并对其计算出的影响值与实际施工过程中地铁隧道竖向变形值进行相关性分析。研究结果表明,IFC模型属性集拓展方法能够对工况信息进行有效补充;邻近施工加卸载荷载对既有地铁隧道变形的影响规律呈近似指数函数关系;所提方法算出的施工加卸载对既有地铁隧道变形影响值与地铁隧道变形实际监测值具有较高的相关性,能够准确反映施工加卸载对邻近地铁隧道变形的影响情况。

Land-population-industry based village evolution and its influencing factors in the upper Tuojiang River

With economic development and urbanization in China,the rural settlements have experienced great change.To explore the evolution process of rural settlements in terms of land,population and industry can reveal the development law of rural spatial distribution,population structure and industrial economy in different stages and regions.Studying the development status and evolution characteristics of villages in the upper Tuojiang River basin in Southwest China in the past 20 years are of significant value.The upper Tuojiang River basin includes the main types of terrain found in the Southwest region:mountainous,plains,and hills,exhibiting a certain typicality of geographical characteristics.This study took towns and townships at the town-level scale as the basic unit of research,and constructed an evaluation system for village evolution based on'land,population,and industry'.It employed Criteria Importance Through Inter-Criteria Correlation(CRITIC)analysis to examine the characteristics of village evolution in the area from 2000 to 2020,and used geographic detector analysis to identify the leading factors affecting village evolution.The results show that:(1)From 2000 to 2010,villages in the upper Tuojiang River basin experienced significant changes,and the pace of these transformations slowed from 2010 to 2020.(2)From a comprehensive perspective,from 2000 to 2020,villages in hilly areas show a decline,while villages in plain areas near the city center show a positive urbanization development.(3)Road accessibility and distance from the city center are the main factors that explain the spatial differentiation of village evolution degree in the study area.This study elucidates the spatiotemporal evolution characteristics of villages in the upper Tuojiang River basin and identifies the primary factors contributing to their changes,which will provide a reference for investigating the development of rural areas in different terrains of Southwest China.

The Effects of Disruptive Thinking on the Food Industry*

This study aimed to understand disruptive thinking and how its ideas can change the food industry. This was achieved by identifying, studying, and understanding the impacts, current trends, and different disruptive ideas and innovations emerging in the food industry. The study was conducted through interpretive research philosophy by carrying out secondary data collection processes, where both qualitative and quantitative information was presented. Deductive approaches were also selected to apply existing theories and models, which were used to construct research hypotheses and present detailed findings. The study finds that, with disruptive thinking, enhancements in the product life cycle, new flavors, and improvements in food packaging have been possible. The supply chain, which is always considered a complex part of the food industry, has been streamlined, offering greater transparency and real-time tracking and improving quality control across distribution systems.

A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry

Ingredient optimization plays a pivotal role in the copper industry,for which it is closely related to the concentrate utilization rate,stability of furnace conditions,and the quality of copper production.To acquire a practical ingredient plan,which should exhibit long duration time with sufficient utilization and feeding stability for real applications,an ingredient plan optimization model is proposed in this study to effectively guarantee continuous production and stable furnace conditions.To address the complex challenges posed by this integer programming model,including multiple coupling feeding stages,intricate constraints,and significant non-linearity,a multi-stage differential-multifactorial evolution algorithm is developed.In the proposed algorithm,the differential evolutionary(DE)algorithm is improved in three aspects to efficiently tackle challenges when optimizing the proposed model.First,unlike traditional time-consuming serial approaches,the multifactorial evolutionary algorithm is utilized to optimize multiple complex models contained in the population of evolutionary algorithm caused by the feeding stability in a parallel manner.Second,a repair algorithm is employed to adjust infeasible ingredient lists in a timely manner.In addition,a local search strategy taking feedback from the current optima and considering the different positions of global optimum is developed to avoiding premature convergence of the differential evolutionary algorithm.Finally,the simulation experiments considering different planning horizons using real data from the copper industry in China are conducted,which demonstrates the superiority of the proposed method on feeding duration and stability compared with other commonly deployed approaches.It is practically helpful for reducing material cost as well as increasing production profit for the copper industry.

Impacts of agri-food e-commerce on traditional wholesale industry:Evidence from China

Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market.However,the interaction between agri-food e-commerce(AEC)and the traditional agri-food wholesale industry(AWI)has not received enough attention in the existing literature.Based on the provincial panel data from 2013 to 2020 in China,this paper examines the effect of AEC on AWI,comprising three dimensions:digitalization(DIGITAL),agrifood e-commerce infrastructure and supporting services(AECI),and agri-food e-commerce economy(AECE).First,AWI and AEC are measured using an entropy-based combination of indicators.The results indicate that for China as a whole,AWI has remained practically unchanged,whereas AEC exhibits a significant rising trend.Second,the findings of the fixed-effect regression reveal that DIGITAL and AECE tend to raise AWI,whereas AECI negatively affects AWI.Third,threshold regression results indicate that AECI tends to diminish AWI with three-stage inhibitory intensity,which manifests as a first increase and then a drop in the inhibition degree.These results suggest that with the introduction of e-commerce for agricultural product circulation,digital development will have catfish effects that tend to stimulate the vitality of the conventional wholesale industry and promote technical progress.Furthermore,the traditional wholesale industry benefits financially from e-commerce even while it diverts part of the traditional wholesale circulation for agricultural products.

基于IFC标准的建筑工程造价管理方法

为改变目前工程造价管理方法存在实际造价与成本相差较大、缺乏对建筑信息技术的支持等一系列问题,提出基于IFC标准的建筑工程造价管理方法。该管理方法以计算赢得值为基础,构建工程造价曲线模型,判断项目的进度。导出并转化IFC文件,输出结果可检验工程造价信息是否准确。结果表明:与传统方法相比,基于IFC标准的建筑工程造价管理方法能够有效地减少项目的整体造价,提升工程的管理效益。

基于IFC的铁路信号工程信息模型的研究

本文研究了基于IFC标准的铁路信号工程信息模型构建,旨在通过标准化数据模型促进铁路BIM技术的应用。研究深入探讨了IFC体系架构,并据此设计了核心层与领域层模型,定义了详尽的属性集与枚举类型。所构建的模型实现了数据的标准化、可扩展性及互操作性,为铁路信号系统的全生命周期管理提供了有力支持,对推动铁路行业的信息化与智能化发展具有重要意义。

Exploring Paths for the High-Quality Development of Forest-Based Wel ness Industry:A Case Study of Sichuan Province

The forest-based wellness industry,as a rapidly growing sector that integrates various business forms with extensive coverage and an extended industrial chain,is undergoing rapid development due to the increasing aging population and people's suboptimal health conditions.As a forerunner in developing the forest-based wellness industry,Sichuan province is known for its early development,proactive efforts,diverse models,and significant impact in this industry.It has achieved certain milestones in terms of top-level design,pilot demonstration,standardized guidance,and public awareness campaigns to promote the development of this industry.Therefore,this paper utilizes Sichuan as a case study to systematically summarize and analyze the key practices made by the province in promoting the rapid development of the industry by investigating the development trajectory of the forest-based wellness industry.Additionally,it examines the development trends of this industry from the perspectives of supply,demand,and consumption.Finally,this paper proposes several measures to facilitate the high-quality development of the forest-based wellness industry.These measures encompass nurturing specialized talent in forest-based wellness,enhancing market players'capabilities in this domain,conducting extensive research on technologies that promote this industry,actively seeking support from relevant policies,and promoting integrated development across diverse sectors.

Analyzing the transportation infrastructure-rural industry integration relationship in China

Transportation infrastructure is crucial to China’s economic growth because it substantially contributes to the holistic development of rural primary,secondary,and tertiary industries.This study innovatively examines transportation infrastructure and urbanization levels to explore,both theoretically and empirically,their relationship with the holistic development of primary,secondary,and tertiary industries in rural China,and the mediating role of urbanization on this relationship.We employed fixed-effects models,the entropy weight approach,mixed regression,and generalized method of moments to analyze the data of 30 provinces across China from 2013 to 2020.The results indicate that the construction of transportation infrastructure directly fosters the collective advancement of such industries in rural areas and that urbanization partially mediates the transportation infrastructure-rural industry integration relationship.However,the western region shows disparities in the integrated development of these sectors.Further analysis reveals that foreign investments amplify the positive influence of transportation infrastructure on rural industry integration.Essentially,the enhancement of rural transportation infrastructure,promotion of urbanization,implementation of strategic planning,and strengthening of support mechanisms are crucial aspects in the comprehensive development of rural industries and the achievement of rural revitalization in China.

Application of Large Language Models in Data Governance in the Petroleum and Petrochemical Industry

This paper delves into the current application, challenges, and demands of data governance in the oil and gas industry, as well as methods and implementation strategies to enhance data governance efficacy through the latest technologies such as large language models and algorithm optimization. Through the analysis of the current application status of large language models in intelligent data classification, data quality improvement, knowledge extraction and management, and intelligent search and information retrieval, the main challenges and demands faced by the petroleum and petrochemical industry in data governance have been revealed. A set of data governance optimization solutions tailored for the oil and gas industry has been proposed. These solutions aim to address the current data management challenges in the industry through advanced data processing technologies and algorithmic optimization, enhance the efficiency and quality of data governance, and thereby support the digital transformation and development of the oil and gas industry.

City Network Evolution Characteristics of Smart Industry: Evidence from Yangtze River Delta, China

The dual-path model of industrial evolution and spatial progression has been widely acknowledged and incorporated into the strategic planning to promote the development of urban industries and regional collaborations.However,current research on inter-enter-prise city networks mainly focuses on the single sector of flows on all enterprise branches,such as product value chains and production factors,but neglects that of particular industry department.Built upon the new economic geography and city networks theory,this paper develops a methodological framework that focuses on the analysis of city network evolution characteristics of smart industry.Particu-larly,a conceptual model of smart industry enterprise-industry-city is proposed and then applied to a case study of smart industry in the Yangtze River Delta Region,China.Using enterprise supplier-customer data,a city network of smart industry is constructed and sub-sequently analyzed with the proposed model.Findings indicate that the smart industry network in Yangtze River Delta Region exhibits a hierarchical structure and the expansion of the network presents a small-world network characteristic.The study not only makes a meth-odological contribution for revealing the industrial and spatial evolution path of the current smart industry,but also provides empirical support for the formulation of new economic development policies focused on smart industries,demonstrating the role of city clusters as carriers of regional synergistic development.

Academic productivity correlates with industry earnings in foot and ankle fellowship programs in the United States:A retrospective analysis

BACKGROUND The study investigates the connection between academic productivity and industry earnings in foot and ankle orthopedic surgery fellowships.Utilizing metrics like the H-index and Open Payments Database(OPD)data,it addresses a gap in understanding the relationship between scholarly achievements and financial outcomes,providing a basis for further exploration in this specialized medical field.AIM To elucidate the trends between academic productivity and industry earnings across foot and ankle orthopedic surgery fellowship programs in the United States.METHODS This study is a retrospective analysis of the relationship between academic productivity and industry earnings of foot and ankle orthopedic surgery fellowships at an individual faculty and fellowship level.Academic productivity was defined via H-index and recorded from the Scopus website.Industry earnings were recorded from the OPD.RESULTS Forty-eight foot and ankle orthopedic surgery fellowships(100%of fellowships)in the United States with a combined total of 165 physicians(95.9%of physicians)were included.Mean individual physician(n=165)total life-time earnings reported on the OPD website was United States Dollar(USD)451430.30±1851084.89(range:USD 25.16-21269249.85;median:USD 27839.80).Mean physician(n=165)H-index as reported on Scopus is 14.24±12.39(range:0-63;median:11).There was a significant but weak correlation between individual physician H-index and individual physician total life-time earnings(P<0.001;Spearman’s rho=0.334)and a significant and moderate positive correlation between combined fellowship H-index and total life-time earnings per fellowship(P=0.004,Spearman’s rho=0.409).CONCLUSION There is a significant and positive correlation between academic productivity and industry earnings at foot and ankle orthopedic surgery fellowships in the United States.This observation is true on an individual physician level as well as on a fellowship level.

Review on the Development of Cosmetic Industry from the Perspective of Group Standards

From the perspective of group standards, the dynamics of the cosmetic industry in the past few years were briefly reviewed and analyzed, including the number of group standards published, types of group standards, groups, and geographical distribution of the groups. The large number of participating groups and the wide range of geographical distribution indicated that group standards could play a positive role in the sustained and positive development of cosmetic industry. The future development of cosmetic industry was also prospected。

Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP Back-End Integration: Ready-Made Garments as a Case Study

Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.

Research Progress and Prospects of Total Factor Productivity in the Construction Industry

The high-quality development of the construction industry fundamentally stems from the significant improvement of total factor productivity.Therefore,it is of crucial significance for promoting the development of the construction industry to a higher level by scientifically and accurately measuring the total factor productivity of the construction industry and deeply analyzing the influencing factors behind it.Based on a comprehensive consideration of research methods and influencing factors,this paper systematically reviews the existing relevant literature on total factor productivity in the construction industry,aiming to reveal the current research development trend in this field and point out potential problems.This effort aims to provide a solid theoretical foundation and valuable reference for further in-depth research,and jointly promote the continuous progress and development of total factor productivity research in the construction industry.

Software and Mobile Apps as a Strategy for Productivity Improvement in the Construction Industry

The construction industry, known for its low productivity, is increasingly utilising software and mobile apps to enhance efficiency. However, more comprehensive research is needed to understand the effectiveness of these technology applications. The PRISMA principles utilised a scoping review methodology to ascertain pertinent studies and extract significant findings. From 2013 onwards, articles containing data on mobile applications or software designed to enhance productivity in the construction sector were obtained from multiple databases, including Emerald Insight, Science Direct, IEEE Xplore, and Google Scholar. After evaluating 2604 articles, 30 were determined to be pertinent to the study and were subsequently analysed for the review. The review identified five key themes: effectiveness, benefits, successful implementation examples, obstacles and limitations, and a comprehensive list of software and mobile apps. In addition, 71 software and mobile apps have shown potentially how these technologies can improve communication, collaboration, project management, real-time collaboration, document management, and on-the-go project information and estimating processes in the construction industry, increasing efficiency and productivity. The findings highlight the potential of these technologies such as Automation, Radio-Frequency Identification (RFID), Building Information Modeling (BIM), Augmented Reality (AR), Virtual Reality (VR), and Internet of Things (IoT) to improve efficiency and communication in the construction industry. Despite challenges such as cost, lack of awareness, resistance to change, compatibility concerns, human resources, technological and security concerns and licensing issues, the study identifies specific mobile applications and software with the potential to enhance efficiency significantly, improve productivity and streamline workflows. The broader societal impacts of construction software and mobile app development include increased efficiency, job creation, and sustainability.

英科再生牵手IFC“蓝色贷款”助力环保再生事业

英科再生与国际金融公司(简称“IFC”)“蓝色贷款”项目签约仪式于2023年12月18日举行,双方达成战略合作,英科再生获得IFC 7 000万美元的蓝色贷款支持,助力环保再生事业进一步发展。IFC制造业、农业与服务业局首席投资官雷伟先生与英科再生副总经理田婷婷女士出席签约仪式并致辞,共同见证了这场惠及全球的环保事业合作。