Research on Measurement and Calculation of Carbon Emission from the Production of Prefabricated Building Components

The measurement and calculation of the carbon emission from the production of prefabricated building components were studied.Based on the carbon emission factor method,a carbon emission calculation model of the components in the production phase was established.Besides,the actual measurement method and calculated at rated power method were proposed for the measurement and calculation of carbon emission,and several measurements were carried out in a component factory located in a coastal area of south China and a component factory located in Beijing,respectively.The results of the study show that the carbon emission factors of laminates and wallboards produced by factories located in coastal areas of southern China under natural curing conditions were 7.61 kg CO2/m3 and 5.84 kg CO2/m3 respectively.The carbon emissions conversion coefficients of concrete mixer,reinforcing bar production line and travelling crane between actual operation and with per the rated power were approximately 0.44,0.34 and 0.34 respectively.When the actual measurement cannot be performed,the conversion coefficient can be used to correct the data of the calculated at rated power to make it closer to the true value.The carbon emission factor of the laminated panels produced by the component factory in Beijing under steam curing concrete conditions was 132.15 kg CO2/m3,and the factory is used as a prototype,a complementary steam generation system model of solar energy and boiler was established,and it was calculated that the system can reduce CO2 emissions by about 300 tons throughout the year.

Building a Productive Domain-Specific Cloud for Big Data Processing and Analytics Service

Cloud Computing as a disruptive technology, provides a dynamic, elastic and promising computing climate to tackle the challenges of big data processing and analytics. Hadoop and MapReduce are the widely used open source frameworks in Cloud Computing for storing and processing big data in the scalable fashion. Spark is the latest parallel computing engine working together with Hadoop that exceeds MapReduce performance via its in-memory computing and high level programming features. In this paper, we present our design and implementation of a productive, domain-specific big data analytics cloud platform on top of Hadoop and Spark. To increase user’s productivity, we created a variety of data processing templates to simplify the programming efforts. We have conducted experiments for its productivity and performance with a few basic but representative data processing algorithms in the petroleum industry. Geophysicists can use the platform to productively design and implement scalable seismic data processing algorithms without handling the details of data management and the complexity of parallelism. The Cloud platform generates a complete data processing application based on user’s kernel program and simple configurations, allocates resources and executes it in parallel on top of Spark and Hadoop.

1989 12 Good Building Material Products Won State Awards in China

In 1989, there were 12 different building ma-terial products winning state awards for theirgood quality, among which two got gold medals andten got silver medals.

Liaohe Planning to Build One Million Tonsof Super-Heavy Oil Production Base

WiththepriceincreaseofPetroleumProductsintheinternationalmarketandthematurity'oftechnologyfortheproductionofsuper-heavyoil,LiaohehasestablishedaframeworkplanfortheconstructionofproductioncapacityforBlockDu-32.AproduchonbasewadanannualoutputofImillion...

Evaluation of Energy Consumption for Heating of Industrial Building in-Situ

Because of the high energy demand required to heat a production hall, the aim of this project is to find out whether it is possible to verify the heating consuming process for heating with the standard simplified calculation method [1], especially for cold regions such as Kosice (Slovakia). The energy requirement for heating a case study industrial building was evaluated using measurements and calculations.During the winter period, energy consumption was measured in the selected industrial building according to a validation standard [2]. The building is comprised of two halls. The measurements were analyzed according to the criteria used for validating residential and public buildings, with several regression dependencies taken into account in the resulting evaluation of heating energy consumption. The mathematical dependencies of measured values in real conditions are shown in this paper. In addition, the building’s heating energy demand was calculated according to the Austrian standard [3], ?NORM EN ISO 13790, the simplified calculation method for non-residential buildings. It was investigated whether the measured values could be replicated using this calculation. It was found that the precise definition of the internal heat gains is very important.

Product image sentence annotation based on kernel descriptors and tag-rank

Dealing with issues such as too simple image features and word noise inference in product image sentence anmotation, a product image sentence annotation model focusing on image feature learning and key words summarization is described. Three kernel descriptors such as gradient, shape, and color are extracted, respectively. Feature late-fusion is executed in turn by the multiple kernel learning model to obtain more discriminant image features. Absolute rank and relative rank of the tag-rank model are used to boost the key words＇ weights. A new word integration algorithm named word sequence blocks building （WSBB） is designed to create N-gram word sequences. Sentences are generated according to the N-gram word sequences and predefined templates. Experimental results show that both the BLEU-1 scores and BLEU-2 scores of the sentences are superior to those of the state-of-art baselines.

预制装配式建筑在节能减排中的应用及效益分析

在全球对节能减排的呼声不断高涨的背景下,装配式建筑作为一种新型的绿色建造方式,在建筑业得到了越来越广泛地关注。采用工厂化生产、现场快速拼装的装配式建筑,既可大幅提升施工效率和品质,又可有效降低工地能源消耗与废弃物排放。文章对装配式建筑在节能减排中的作用和所产生的效益进行了分析。本文首先对装配式建筑的基本概念、技术特征进行了综述;其次是研究装配式建筑在节能、减排和减少建筑废弃物等领域的具体应用。文章同时对装配式建筑的整体效益作了全面的评估。

中国式现代化的改革呼唤与动能支撑

中国式现代化呼唤改革,中国式现代化的深化发展呼唤进一步全面深化改革。党的二十届三中全会推动进一步全面深化改革,着力为中国式现代化提供强大动力和制度保障。中国式现代化从进一步全面深化改革破解深层次体制机制障碍和结构性矛盾、完善和发展中国特色社会主义制度、推进国家治理体系和治理能力现代化、解放和发展社会生产力、激发和增强社会活力中,不断获取深化发展的动能支撑。中国式现代化与进一步全面深化改革紧密联结、辩证统一。中国式现代化是进一步全面深化改革的实践基地,为之提供宽阔平台和充足空间,使之有了明确的主题引领与着力方向;进一步全面深化改革是中国式现代化的力量源泉,为之提供动力支持和能量支撑,使之有了完备的制度保障与充足的内在活力。

基础设施数字化转型对城市绿色发展的影响研究——基于BIM政策与双重机器学习模型

以是否实施基础设施数字化转型过程中的关键信息技术政策建筑信息模型(BIM)为准自然实验进行实证研究,基于2008—2021年中国281个城市的面板数据,构建双重机器学习模型评估BIM政策颁布对城市绿色全要素生产率的影响。结果表明,BIM政策所表征的基础设施数字化转型对绿色全要素具有显著促进作用,其通过推动城市创新能力、数字化发展和产业结构升级,从而带动城市绿色发展转型。在非资源型城市和较发达城市,BIM政策对绿色全要素生产率的促进作用更显著。

成渝经济圈+广元农产品:品牌建设的共创共赢模式研究

在全球化和区域一体化的大背景下,区域经济合作成为推动经济增长的关键力量。成渝经济圈凭借其地理和资源优势,成为我国经济增长的新动力。广元作为四川的重要农业基地,农产品的品牌建设对于提升农业竞争力和农民收入具有重要意义。然而,广元农产品在品牌建设过程中仍然面临诸多挑战。本文聚焦成渝经济圈与广元农产品品牌建设互动,分析成渝经济圈发展及广元农产品特色优势,强调市场拓展、资源共享与品牌共创的重要性。构建“智慧绿链·共创未来”模式,实施策略涵盖政策支持、产业协同、品牌共创、市场拓展与生态环保。研究显示,该模式在多方面成效显著,预示其将为我国农业品牌建设提供启示,推动品牌化与现代化,助力乡村振兴与农业农村高质量发展。

Perceived Indoor Discomfort, Performance and Productivity

Even all indoor environmental standards are met the users are usually not satisfied and perceived discomfort is occurred in the smart office buildings. The most frequently cause of discomfort in smart buildings is overrun of intelligence. There are physical and psychological factors that influenced building users＇ comfort. An indoor air quality seems to be one of the main problems of smart office buildings. In Slovakia the office buildings relating to indoor environment European standard are mostly evaluated as the non-low polluting buildings. The pollution from building as well as the pollution from occupancy and using was respected. The odor intensity and indoor air acceptability were assessed by a sensory panel. The concentrations of total volatile organic compounds and carbon dioxide were measured. The odors from building materials studied under different air change rate are presented in this paper. The case study of indoor air acceptability concerning to indoor odors under occupancy and its affect on perceived air quality influenced by air change rate are also presented in this paper.

Gender-related Differences in Perceived Productivity and Indoor Environmental Quality Acceptance-Results of a Questionnaire Survey in University Workplaces

Improving occupant's satisfaction represents an important target oriented both towards the increment of productivity and towards the reduction of operational costs related to health and safety of employees.These considerations are the bases of an interdisciplinary cross-country survey on the human-building interaction in office buildings.The proposed study presents findings from the survey conducted at the University of Calabria(Italy).In particular,both demographic characteristics of the sample and data regarding comfort,satisfaction,and productivity are processed and investigated.Descriptive statistical analysis is developed with the aim of highlighting the influence of indoor comfort conditions on the perceived productivity of employees.Particular attention is dedicated to the study of genderrelated differences in internal environment perception.Indoor temperature,quality of indoor air,and acoustics are the most selected causes of dissatisfaction and low perceived productivity both for women and men.The responses regarding satisfaction level and perceived productivity are also combined by defining a quantitative indicator named Office Productivity and Satisfaction index(OPSi)that is the ratio between the perceived productivity and the satisfaction level of the considered comfort condition.Causes of discomfort are also analyzed and demonstrated gender-related differences in workplaces quality evaluation.

农业新质生产力:内涵特征、发展重点、面临制约和政策建议

结合学习习近平总书记关于发展新质生产力的重要论述,文章探讨了农业新质生产力的内涵要义和发展要求,揭示了发展农业新质生产力的意义和战略重点,分析了发展农业新质生产力面临的制约,提出要面向加快建设农业强国和把农业建成现代化大产业的需求,科学处理农业新质生产力与农业传统生产力、仰望星空与脚踏实地、有为政府与有效市场、统筹高质量发展和高水平安全、农业新质生产力特殊性与新质生产力一般性等的关系。在此基础上,提出了发展农业新质生产力的若干政策建议。如实施若干重大工程或计划,完善激励机制,设立未来农业专项,加强和创新农业新质生产力支持体系,加强对农业农村基础设施和公共服务能力建设的支持,等等。

京津冀地区地理标志农产品品牌建设研究

地理标志农产品是特色农业产业发展的重要抓手,加强地理标志农产品品牌建设和发展对于提高农民收入,促进区域经济发展具有积极推动作用,是农业产业持续健康发展的重要保障之一。京津冀地区拥有平原、丘陵、山地、高原、海洋等多样的农地资源,具有丰富的特色农产品资源。目前京津冀地区在地理标志农产品品牌建设和保护方面取得了较大的进展,但是仍然存在数量少,分布不均衡、品牌意识弱、宣传渠道受限、品牌声誉不高、人文历史因素重视不足等问题,亟待进一步解决优化。因此,应不断加强地理标志农产品的挖掘、提升品牌保护意识、拓宽营销渠道、加强品牌宣传推广及品牌管理、深入挖掘人文历史特征等,不断提升京津冀地理标志农产品品牌价值和竞争力。

能指与所指在革命历史建筑文创中的设计研究

革命历史建筑是我国特殊的历史文化,蕴含特殊情感镌刻其中,是建筑技术与革命文化的体现。革命历史建筑文化面临“内涵弱化、同质化严重”等困境。因此,旨在运用能指与所指符号的设计理论与方法。将地域文化、传统手工艺与革命历史建筑融合设计,纵深内涵探索,扩宽传承路径。首先,分析能指与所指在革命历史建筑旅游类文创产品属性中的物质层与精神层价值;其次,提出能指与所指在革命历史建筑旅游类文创产品设计创新探索过程:其从能指符号的外放呈现、所指符号的内核挖掘总结创新;最后,进行黑龙江革命历史建筑元素具体的设计实践。验证上述创新设计思路的可行性与有效性,可为其他革命历史建筑旅游类文创产品提供参考。

新质生产力背景下装配式钢结构建筑标准化施工策略研究

随着新质生产力的快速发展,装配式钢结构建筑作为一种绿色、高效的建筑方式,正逐渐受到广泛关注。本文在分析了其优势与面临的挑战后,提出了新质生产力背景下装配式钢结构建筑的标准化施工策略,为相关领域的实践和研究提供参考。

数字政府驱动新质生产力发展的路径研究

发展新质生产力是推动高质量发展的重要着力点。数字政府是政府治理与数字技术的有机融合,通过构建数字化智治平台,提供数据驱动的智能化公共服务,成为驱动创新和生产力发展转型的重要力量。在数字政府内部,依托“数字经济+数字党建+数字监管”三大应用系统实现多跨协同,共同推动新质生产力三大子场景向前发展。数字经济系统以“产业大脑+未来工厂”为核心模式,赋能产业实现深度转型升级;数字党建系统发挥其特有的政治、组织、文化和资源优势,调度优势力量,以攻坚技术革命性突破为目标;数字监管系统强化财会监督、审计监督和纪检监察,旨在改善营商环境,提升创新要素配置效率。为实现进一步全面深化改革的总目标,建议数字政府平台设立新质生产力发展专区,优化系统建设,加强整体智治能力,并深化数据赋能效应;深化教育综合改革,以培养适应数智时代的高素质创新型人才,为新质生产力的发展提供坚实的人才支撑。

以高水平开放助推新质生产力发展

新时代以来,中国实行更加积极主动的开放战略,高水平对外开放不断跃上新台阶,成为推动中国经济高质量发展的重要动力。高水平开放同样是助推新质生产力发展的重要动力:制度型开放,有助于吸引全球优质资源要素为新质生产力发展赋能;对“一带一路”直接投资的逆向技术溢出,有助于全要素生产率提升;环境保护等国际高标准经贸规则新议题谈判,将倒逼绿色生产力发展。未来,以高水平开放助推新质生产力发展的重点路径包括:稳步扩大制度型开放,为吸引全球优质资源要素营造良好投资环境;推进共建“一带一路”高质量发展走向新阶段,赋能全要素生产率提升;推进自由贸易协定向更高标准迈进,促进经济发展全面绿色转型。

云南省地理标志农产品空间分布及影响因素

以云南省86个地理标志农产品为研究对象,应用地理集中指数、最邻近点指数、核密度估计法探析云南省地理标志农产品的空间格局,再运用定量(地理探测器模型)和定性分析方法识别主要影响因素。结果表明:(1)云南省地理标志农产品具有明显的集聚特征,禽畜类、蔬菜类、粮食类地理标志有一个核密度高值区,其中禽畜类的热点区域为楚雄州中部地区,蔬菜类的热点区域位于曲靖、昆明和昭通交界地区,粮食类的热点区域为曲靖市、昆明市、红河州和文山州交界地区,水果类则有两个核密度高值区,分别位于大理州中部地区和保山市中部地区;(2)水资源是禽畜类地理标志空间分布最重要的影响因素,农业机械总动力是水果类和粮食类地理标志空间分布的主要影响因素,化肥施用量是蔬菜类地理标志空间分布最重要的影响因素;(3)总体上,化肥施用量是云南地理标志农产品最重要的影响因素,次要影响因素是乡村人口和农业机械总动力。

光——氢建筑能源系统园区容量配置鲁棒优化

碳中和目标促使全球建筑行业能源结构向低碳化、无碳化与清洁化的方向转型。为了开发更清洁、更高效的光伏耦合技术,零碳排燃料——氢能提供了一个新路径。同时,为了提高可再生能源消纳水平,促进能源系统综合发展,针对光——氢建筑电热不确定性,以年均综合成本最优为目标,考虑系统能量平衡条件、系统设备效力等约束条件,引入鲁棒性对偶变量,提出一种包含云储能(CES)的电-氢-热能源系统(EHT-ES)鲁棒优化方法,得到基于氢储能的微电网热电容量配置方案。结果表明,考虑光伏资源和电力负荷需求不确定性时,需增加10.05%光伏发电投建设备容量配置规模。