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intelligent manufacturing 3

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Path and Countermeasures of Optimizing and Upgrading Livelihood Equipment in China

Gu Yishana, Wu Haihua, Zhu Xiaoguang, Yang Haipeng, Qin Yongqing

Strategic Study of CAE 2020, Volume 22, Issue 2,   Pages 22-28 doi: 10.15302/J-SSCAE-2020.02.004

Abstract:

Livelihood equipment is an important part of high-end equipment. It plays an important role in the development of national economy. China’s livelihood equipment lags behind the international advanced level in terms of international competitiveness and comprehensive level. The outbreak of the coronavirus disease 2019 (COVID-19) further exposed the serious shortcomings in China’s livelihood equipment concerning medical treatment, food, textile, and the like, as well as the urgent need for optimization and upgrading of the industry. In this paper, livelihood equipment regarding agriculture, food, textile, and medical treatment are studied, which are related to the lifeblood of the national economy. Their development status is reviewed, and the problems and shortcomings of China’s livelihood equipment are proposed. The research suggests that intelligent manufacturing should be the major development direction of the livelihood equipment. Specifically, equipment with digital, networked, and intelligent functions should be developed; key components and industrial software should be researched; digital, networked, and intelligent transformation and upgrading of livelihood equipment enterprises should be promoted; and integration with the service industry should be deepened. To ensure and promote the optimization and upgrading of the livelihood equipment in China, the state should make overall plans for supporting policies regarding the livelihood equipment, conduct large-scale technological transformation, build a public platform for technologicalinnovation services for the industry, and strengthen the development and application of domestic equipment and industrial software.

Keywords： livelihood equipment     intelligent manufacturing     optimize and upgrade     agriculture     food     textile     medical    

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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving optimization problems of steel frames. The AGA consists of a developed penalty function, which helps to find the best generation of the population. The objective function is to minimize the weight of the whole steel structure under the constraint of ultimate loads defined for structural steel buildings by the American Institute of Steel Construction (AISC). Design variables are the cross-sectional areas of elements (beams and columns) that are selected from the sets of side-flange shape steel sections provided by the AISC. The finite element method (FEM) is utilized for analyzing the behavior of steel frames. A 15-storey three-bay steel planar frame is optimized by AGA in this study, which was previously optimized by algorithms such as Particle Swarm Optimization (PSO), Particle Swarm Optimizer with Passive Congregation (PSOPC), Particle Swarm Ant Colony Optimization (HPSACO), Imperialist Competitive Algorithm (ICA), and Charged System Search (CSS). The results of AGA such as total weight of the structure and number of analyses are compared with the results of these algorithms. AGA performs better in comparison to these algorithms with respect to total weight and number of analyses. In addition, five numerical examples are optimized by AGA, Genetic Algorithm (GA), and optimization modules of SAP2000, and the results of them are compared. The results show that AGA can decrease the time of analyses, the number of analyses, and the total weight of the structure. AGA decreases the total weight of regular and irregular steel frame about 11.1% and 26.4% in comparing with the optimized results of SAP2000, respectively.

Keywords： optimization     steel frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceability limits     penalty function    

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resistance genes and virulence factors in receiving rivers: Benefits of wastewater treatment plant upgrade

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1682-4

Abstract: ListItem>

● Abundance of MAGs carrying ARG-VF pairs unchanged in rivers after WWTP upgrade

Keywords： Wastewater treatment plant upgrade     Antibiotic resistance genes (ARGs)     Virulence factors (VFs)     Gene    

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Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: These equations as a new method were able to optimize the support system for and classification systems

Keywords： JH classification     Q and RMR classification     new method    

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Taxonomic and functional variations in the microbial community during the upgrade process of a full-scale

Binbin Sheng, Depeng Wang, Xianrong Liu, Guangxing Yang, Wu Zeng, Yiqing Yang, Fangang Meng

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1272-7

Abstract: Abstract • Upgrade process was investigated in a full-scale landfill leachate treatment plant. • TheIn this study, the process upgrade from conventional to partial nitrification-denitrification was comprehensivelydenitrifying bacteria responsible for nitrite reduction, gradually increased from 0.60% to 5.52% during the upgradethe operation of a partial nitrification-denitrification system and provided a technical case for the upgrade

Keywords： Landfill leachate     Process upgrade     Partial nitrification-denitrification     Bacterial community     Metagenomics    

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The impacts of economic restructuring and technology upgrade on air quality and human health in Beijing-Tianjin-Hebei

Chao Liu, Hancheng Dai, Lin Zhang, Changchun Feng

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1155-y

Abstract: Impacts of industrial restructuring and upgrade on air quality & health are assessed.These scenarios include two categories: the category of “Industrial Technology Upgrade Policy” scenarios

Keywords： Economic restructuring     Cleaner production     Ambient air pollution     Health benefits     IMED model    

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testing of a weather-based model to determine potential yield losses caused by potato late blight and optimize

Alexey FILIPPOV, Maria KUZNETSOVA, Alexander ROGOZHIN, Olga IAKUSHEVA, Valentina DEMIDOVA, Natalia STATSYUK

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 462-468 doi: 10.15302/J-FASE-2018239

Abstract:

Late blight is one of the most important potato diseases. To minimize yield losses, various protective measures are used including fungicide application. Active use of fungicides results in a contamination of the environment. Therefore, crop protection strategies optimizing the number of treatments are of great interest. Using information about late blight development in an experimental potato field recorded over 30 seasons, a simulator to forecast yield losses caused by the disease was developed based on the number of 5-d periods favorable for reinfection of plants during a vegetation season. The simulator was successfully verified using independent data on the disease development from nine unprotected potato fields in the Netherlands and Germany. The average difference between the calculated and real yield losses did not exceed 5%. Using the simulator and weather data for a period of 2007-2017, yield losses were calculated for several areas of the Bryansk, Tambov, and Orenburg Regions of Russia. The results revealed differences in disease development between these regions and may be used to develop recommendations for a frequency of fungicide applications according to the regional risk of epidemics, leading to a significant reduction in fungicide use.

Keywords： potato     late blight     Phytophthora infestans     yield losses     retrospective analysis     mathematical model    

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Paths for the Digital Transformation and Intelligent Upgrade of China’s Discrete Manufacturing Industry

Li Xinyu, Li Zhaofu, Gao Liang

Strategic Study of CAE 2022, Volume 24, Issue 2,   Pages 64-74 doi: 10.15302/J-SSCAE-2022.02.008

Abstract: Digital transformation and intelligent upgrade is an inevitable choice for China’s discrete manufacturingChina differs significantly and requires diversified paths for digital transformation and intelligent upgrademanufacturing industry, explore the challenges regarding the digital transformation and intelligent upgrade

Keywords： intelligent manufacturing     discrete manufacturing industry     digital transformation and intelligent upgrade    

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Value and governance of high-speed railway

Xiaoyan LIN, Zehua ZHANG, Meng WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 463-482 doi: 10.15302/J-FEM-2017054

Abstract: This paper considers multiple perspectives to explore the concept of high-speed railway (HSR), rationally abstract its value formation mechanism, and quantitatively measure its actual performance. This paper analyzes the governance potential of major countries in the high-speed railway value chain and studies the feasible ways and development strategies to enhance the high-speed railway governance in China. Findings of this paper are as follows. First, the government, as the early manager of high-speed railway governance, has given way to Siemens and other integrated enterprises. Second, the high-speed railway standard output has become the core competitiveness that embodies high-speed railway. Third, the global high-speed railway market presents a hierarchical high-speed railway governance model and changes to a modular approach to governance.

Keywords： high-speed railway value     communication value     high-speed railway value governance     governance path upgrade    

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Export Quality Upgrading of Manufacturing Sector in Developing Countries—Based on the Data of China, India, and Brazil

Liu Weili,Zheng Qiming and Zhang Han

Strategic Study of CAE 2015, Volume 17, Issue 7,   Pages 133-132

Abstract:

Based on the Hallak Product Quality model, we construct an empirical product quality model adopting unit value, distance between countries, income per capita. This research measures Chinese, Indian and Brazilian manufacturing quality of HS6 products that export to the U.S., from 2003 to 2013. And we put forward policy recommendations to improve China’s product quality upgrading ability in the international market.

Keywords： manufacturing     product quality     quality upgrade    

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Upgrade of three municipal wastewater treatment lagoons using a high surface area media

John WANG, Peng JIN, Paul L. BISHOP, Fuzhi LI

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 288-293 doi: 10.1007/s11783-011-0280-z

Abstract: Lagoon-based municipal wastewater treatment plants (WWTPs) are facing difficulties meeting the needs of rapid population growth as well as the more stringent requirements of discharge permits. Three municipal WWTPs were modified using a high surface area media with upgraded fine-bubble aeration systems. Performance data collected showed very promising results in terms of five-day biochemical oxygen demand (BOD ), ammonia (NH ) and total suspended solids (TSS) removal. Two-year average ammonia effluents were 4.1 mg·L for Columbia WWTP, 4 mg·L for Larchmont WWTP and 2.1 mg·L for Laurelville WWTP, respectively. Two- year average BOD effluents were 6.8, 4.9 and 2.7 mg·L , and TSS effluents were 15.0, 9.6 and 7.5 mg·L . The systems also showed low fecal coliform (FC) levels in their effluents.

Keywords： wastewater lagoons     wastewater biological treatment     ammonia removal     high surface area media     fine bubble aeration    

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Strategic Updating of Internet Plus Considering Digital Transformation

He Wei,Zhang Weidong,Wang Chaoxian

Strategic Study of CAE 2020, Volume 22, Issue 4,   Pages 10-17 doi: 10.15302/J-SSCAE-2020.04.002

Abstract: construction of the digital transformation ecology, establish transformation and innovation networks, and upgrade

Keywords： technology industry transformation     digital transformation     Internet Plus     industry upgrade    

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Optimize the design input and analysis methods to improve the seismic safety of nuclear power plants

Zhang Chaoqi and Yang Jianhua

Strategic Study of CAE 2013, Volume 15, Issue 4,   Pages 83-90

Abstract:

The competence of resisting nature extreme disaster is widely concerned after Fukushima nuclear incident in Japan. Many countries carry through investigation actively. The seismic is one of primary threatens for nuclear power plant safety. Therefore the seismic ability of nuclear power plants becomes the investigative emphasis. The floor response spectra is the input of the seismic design for nuclear plant systems, structures and components,and the important part of the seismic design, which is holding the balance in nuclear plant seismic safety. In this paper we use the third generation nuclear power plant example that is ACP1000 normal design excogitated by the China Nuclear Power Engineering Co., LTD. themselves to expatiate the reasonable seismic input and the advanced analysis method for China. Through introducing the input, the analysis process and the method about the ACP1000 floor response spectra are calculated. Then it has significant effect for improving the nuclear power plant seismic design and seismic safety.

Keywords： nuclear power plant     ACP1000     seismic analysis     floor response spectra     3D finite element model     SSI    

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Development of Made in China Brand: Problems, Causes and Upgrade Strategies

Guo Zheng,Lin Zhongqin,Deng Ji and Wang Jinyu

Strategic Study of CAE 2015, Volume 17, Issue 7,   Pages 63-62

Abstract:

The lack of brands is one significant sign of Chinese-made goods known as large but not strong, and it is an important reason that Chinese products are very difficult to enter the international high-end market. The change from “Chinese products”to “Chinese brand”is an inevitable way for transformation and upgrading of China Manufacturing. Through a variety of research methods including literature reviews, expert interviews, surveys, case studies, etc., this paper describes the overall situation and problems of Chinese brand development and analyzes the causes from the perspectives of macro factors, business factors, product/service quality factors and the medium factors. According to the different roles played by the government and the enterprises in Chinese manufacturing brand development, this paper brings out strategic suggestions, respectively.

Keywords： made in China     brand development     quality     safety     innovation    

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 990-1002 doi: 10.1007/s11709-022-0864-7

Abstract: This study examined the feasibility of using the grey wolf optimizer (GWO) and artificial neural network (ANN) to predict the compressive strength (CS) of self-compacting concrete (SCC). The ANN-GWO model was created using 115 samples from different sources, taking into account nine key SCC factors. The validation of the proposed model was evaluated via six indices, including correlation coefficient (R), mean squared error, mean absolute error (MAE), IA, Slope, and mean absolute percentage error. In addition, the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence plots. The results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s CS. Following that, an examination of the parameters impacting the CS of SCC was provided.

Keywords： artificial neural network     grey wolf optimize algorithm     compressive strength     self-compacting concrete    

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Title Author Date Type Operation

Path and Countermeasures of Optimizing and Upgrading Livelihood Equipment in China

Gu Yishana, Wu Haihua, Zhu Xiaoguang, Yang Haipeng, Qin Yongqing

Journal Article

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

resistance genes and virulence factors in receiving rivers: Benefits of wastewater treatment plant upgrade

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

Taxonomic and functional variations in the microbial community during the upgrade process of a full-scale

Binbin Sheng, Depeng Wang, Xianrong Liu, Guangxing Yang, Wu Zeng, Yiqing Yang, Fangang Meng

Journal Article

The impacts of economic restructuring and technology upgrade on air quality and human health in Beijing-Tianjin-Hebei

Chao Liu, Hancheng Dai, Lin Zhang, Changchun Feng

Journal Article

testing of a weather-based model to determine potential yield losses caused by potato late blight and optimize

Alexey FILIPPOV, Maria KUZNETSOVA, Alexander ROGOZHIN, Olga IAKUSHEVA, Valentina DEMIDOVA, Natalia STATSYUK

Journal Article

Paths for the Digital Transformation and Intelligent Upgrade of China’s Discrete Manufacturing Industry

Li Xinyu, Li Zhaofu, Gao Liang

Journal Article

Value and governance of high-speed railway

Xiaoyan LIN, Zehua ZHANG, Meng WANG

Journal Article

Export Quality Upgrading of Manufacturing Sector in Developing Countries—Based on the Data of China, India, and Brazil

Liu Weili,Zheng Qiming and Zhang Han

Journal Article

Upgrade of three municipal wastewater treatment lagoons using a high surface area media

John WANG, Peng JIN, Paul L. BISHOP, Fuzhi LI

Journal Article

Strategic Updating of Internet Plus Considering Digital Transformation

He Wei,Zhang Weidong,Wang Chaoxian

Journal Article

Optimize the design input and analysis methods to improve the seismic safety of nuclear power plants

Zhang Chaoqi and Yang Jianhua

Journal Article

Development of Made in China Brand: Problems, Causes and Upgrade Strategies

Guo Zheng,Lin Zhongqin,Deng Ji and Wang Jinyu

Journal Article

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Journal Article