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Solidification/stabilization of Dewatered Sludge with Multi-Component Solidifying Agents

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Journal of Harbin Institute of Technology(New Series) 2013年第6期20卷 46-52页

作者： jun-qiu jiang Kun Wang Zi-Ye Li Yang Li Qing-Liang Zhao Guang-Yi Liu Department of Municipal and Environmental & Engineering Harbin Institute of Technology Southwest Municipal Engineering Design & Research Institute of China

This work experimentally examined the optimal proportioning of sludge curing agent for dewatered sludge curing on solidified sludge,two components sludge curing agent consisted of cement and slag,and three components consisted of cement,slag and inorganic salt. The results showed that,increasing of curing ages could increase unconfined compressive strength and reduce moisture content for solidified sludge. For the test of two components,the biggest unconfined compressive strength of the solidified sludge achieved to 543. 72 kPa and the minimum moisture content achieved to 3. 56% of 21 d. The optimum proportion of the sludge curing agent of two components is sludge: cement: slag = 1 ∶ 0. 05 ∶ 0. 2 which selected by Design-expert. It could rapidly increasing the unconfined compressive strength of solidified sludge when added three components sludge curing agent( sludge: cement: slag: MgSO4= 1 ∶ 0. 05 ∶ 0. 2 ∶ 0. 03) on sludge curing. The results showed that,curing ages of 7 d,the unconfined compressive strength could achieve to 126. 74 kPa,which was more than 11 times comparison with the solidified sludge curing by two components curing agent. Two or three components sludge curing agent all could stabilize the heavy metals on solidified sludge and the leaching of heavy metals was below the government standard,while the stability of the heavy metals was superior for three components sludge curing agent.

关键词： dewatered sludge solidification curing agent stabilizationCLC number:X705 Document code:AArticle ID:1005-9113(2013)06-0046-07

Performance of Sewage Sludge Treatment and Electricity Generation by Different Configuration Microbial Fuel Cells

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Journal of Harbin Institute of Technology(New Series) 2013年第4期20卷 1-6页

作者： jun-qiu jiang Kun Wang Xue-Xuan Peng Qing-Liang Zhao Yun-Shu Zhang Xiu-Dong Zhou Dept.of Municipal and Environmental & Engineering Harbin Institute of Technology Institute of Fuzhou Electric Power Design

This paper compared the degradation efficiency of sludge organic matters and electric-production by two typical microbial fuel cells——dual-chamber microbial fuel cell(DMFC)and single chamber air cathode microbial fuel cell(SAMFC),and the variations of sludge protein,polysaccharide and ammonia nitrogen within the systems were also *** results showed that the concentration of sludge soluble chemical oxygen demand,protein and carbohydrate of DMFC are higher than these of SAMFC during the systems operation,while DMFC can achieve a better ammonia nitrogen removal than *** the same operation condition,the stable voltage output of DMFC and SAMFC is 0.61 V and 0.37 V;the maximum power density of DMFC and SAMFC is 2.79 W/m3and 1.25 W/m3;TCOD removal efficiency of DMFC and SAMFC is 34.14%and 28.63%for 12 d,***,DMFC has a higher coulomb efficiency than SAMFC,but both are less than5%.The results showed that DMFC present a better performance on sludge degradation and electric-production.

关键词： sewage sludge dual-chamber microbial fuel cell(DMFC) single chamber air cathode microbial fuel cell(SAMFC) degradation electricity production

Selective removal of sulfamethoxazole by a novel double Z-scheme photocatalyst:Preferential recognition and degradation mechanism

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Environmental Science and Ecotechnology 2024年第1期17卷 163-175页

作者： Jing-Yan Zhang Jie Ding Lu-Ming Liu RuiWu Lan Ding jun-qiu jiang Ji-Wei Pang Yan Li Nan-Qi Ren Shan-Shan Yang State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin150090China Harbin Institute of Technology National Engineering Research Center of Water Resources Co. LtdHarbin150090China College of Chemistry Jilin University2699 Qianjin StreetChangchun130012China China Energy Conservation and Environmental Protection Group Beijing100089China School of Environmental Science and Engineering Yancheng Institute of TechnologyYancheng224051China

Sulfamethoxazole(SMX)is a significant environmental concern due to its adverse effects and ecological *** elimination in aquatic environments via photocatalysis presents a viable solution,given its high oxidation ***,such a solution remains controversial,primarily due to a lack of *** we introduce a molecularly imprinted TiO2@Fe_(2)O_(3)@g-C_(3)N_(4)(MFTC)photocatalyst designed for the selective degradation of *** assess MFTC's selectivity,we applied it to degrade synthetic wastewater containing SMX alongside interfering species sulfadiazine(SDZ),ibuprofen(IBU),and bisphenol A(BPA).The results demonstrated a selective degradation efficiency rate of 96.8%,nearly twice that of competing *** molecularly imprinted sites within the catalyst played a crucial role by selectively capturing SMX and enhancing its adsorption,thereby improving catalytic *** degradation process involvedOH and·O_(2)^(-)free radicals,with a newly proposed double Z-scheme mechanism and potential pathway for SMX degradation by the MFTC photocatalytic *** study enriches the application of photocatalysis using molecularly imprinted nanocomposite materials for treating complex pollutant mixtures in water.

关键词： selective photochemical oxidation Molecular imprinting Double Z-scheme heterojunction TiO2@Fe_(2)O_(3)@g-C_(3)N_(4) Sulfamethoxazole degradation

从新冠疫情防控看信息技术创新应用促进经济社会高质量发展

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科学管理研究 2021年第2期39卷 2-8页

作者：窦克勤何小龙李君文莎国家工业信息安全发展研究中心交流合作处北京100040 中国科学院大学北京100049 国家工业信息安全发展研究中心北京100040

新冠疫情发生以来,互联网、大数据、人工智能等新一代信息技术在服务疫情防控和经济社会发展中发挥了重要作用。通过梳理新一代信息技术创新应用在疫情防控、社会服务、复工复产、新动能培育等领域发挥的重要作用,从生产生活空间变化、... 详细信息

新冠疫情发生以来,互联网、大数据、人工智能等新一代信息技术在服务疫情防控和经济社会发展中发挥了重要作用。通过梳理新一代信息技术创新应用在疫情防控、社会服务、复工复产、新动能培育等领域发挥的重要作用,从生产生活空间变化、技术产业增长、公共数据融通应用、数字化转型共识形成等4个方面剖析了新冠疫情为新一代信息技术创新带来的重要机遇,并在此基础上探讨新一代信息技术促进经济社会发展面临的制约因素,并提出相关对策建议。

关键词：新一代信息技术新冠肺炎疫情经济社会高质量发展数字化转型

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin jun Xu Delong jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

基于人机集成模型的生产单元协作维修策略仿真

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计算机集成制造系统 2014年第9期20卷 2248-2258页

作者：邱君降张晓冬赵灿灿赵东方北京科技大学东凌经济管理学院北京100083 首都经济贸易大学安全与环境工程学院北京100070

为了分析维修人员自治性和协作性对生产单元修复性维修过程的影响,并优化修复性维修策略,建立了生产单元人机集成仿真模型,阐述了模型的结构框架、维修主体的协作行为以及模型的运行原理。基于该集成仿真模型,以某摩托车发动机生产单元... 详细信息

为了分析维修人员自治性和协作性对生产单元修复性维修过程的影响,并优化修复性维修策略,建立了生产单元人机集成仿真模型,阐述了模型的结构框架、维修主体的协作行为以及模型的运行原理。基于该集成仿真模型,以某摩托车发动机生产单元为研究对象,对修复性维修策略进行了对比仿真研究。仿真结果表明,维修操作者的协作行为对该生产单元设备运转率、维修员利用率、运转率波动度和维修薪酬均具有显著影响,生产单元人机集成仿真模型可对修复性维修方案进行动态和定量评价,从而帮助制造组织对修复性维修策略进行优化决策。

关键词：生产单元修复性维修协作行为仿真模型主体

基于生产者主体模型的生产单元人员协作策略仿真

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系统工程 2015年第6期33卷 64-70页

作者：邱君降张晓冬赵灿灿赵东方北京科技大学东凌经济管理学院北京100083 首都经济贸易大学安全与环境工程学院北京100070

围绕人员协作策略角度提升生产单元的组织柔性,提出一种面向生产者协作行为的人机集成仿真模型。首先,基于复杂适应系统理论建立动态生产环境下生产单元的生产者主体模型,并对生产者主体间的协作行为进行阐述。其次,将生产者主体模型与... 详细信息

围绕人员协作策略角度提升生产单元的组织柔性,提出一种面向生产者协作行为的人机集成仿真模型。首先,基于复杂适应系统理论建立动态生产环境下生产单元的生产者主体模型,并对生产者主体间的协作行为进行阐述。其次,将生产者主体模型与基于离散事件驱动的制造过程模型集成为人机集成仿真模型,从而实现制造过程中以动态、协作为特征的生产人员协作策略的仿真。最后,将提出的人机集成仿真模型应用于某摩托车发动机生产单元的仿真试验中,对几种协作策略进行了定量仿真分析,验证仿真方法的有效性。

关键词：生产单元协作行为主体技术建模与仿真

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动态制造环境下生产单元组织行为建模研究

软科学 2015年第10期29卷 136-140页

作者：赵东方张晓冬章恩武邱君降北京科技大学东凌经济管理学院北京100083

基于生产单元制造环境的复杂性,分析了生产单元内外部动态制造环境;在此基础上对动态制造环境下生产单元组织行为进行建模,从知识库、行为协议、反应协议对生产单元个体、团队、组织三个层面描述组织行为。最后,以某摩托车发动机生产单... 详细信息

基于生产单元制造环境的复杂性,分析了生产单元内外部动态制造环境;在此基础上对动态制造环境下生产单元组织行为进行建模,从知识库、行为协议、反应协议对生产单元个体、团队、组织三个层面描述组织行为。最后,以某摩托车发动机生产单元为研究对象,对所提生产单元组织行为建模方法进行应用。仿真结果证实了所提组织行为建模方法应对动态制造环境波动的有效性。

关键词：动态制造环境组织行为组织行为建模

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新工业革命背景下制造业管理模式研究与创新

制造业自动化 2017年第1期39卷 130-133页

作者：李君邱君降窦克勤柳杨工业和信息化部电子科学技术情报研究所北京100040

围绕新一轮产业革命,加强制造业管理模式研究与创新,引领生产方式和服务模式变革,对于加快制造强国建设具有重要战略意义。分析了新工业革命背景下企业战略管控、组织形态变革、数据价值挖掘等方面管理创新关键点,总结了我国产业界以管... 详细信息

围绕新一轮产业革命,加强制造业管理模式研究与创新,引领生产方式和服务模式变革,对于加快制造强国建设具有重要战略意义。分析了新工业革命背景下企业战略管控、组织形态变革、数据价值挖掘等方面管理创新关键点,总结了我国产业界以管理创新孕育新模式新业态的探索与实践,可为制造业管理模式创新提供有益借鉴。

关键词：新工业革命制造强国制造业管理模式管理创新