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.

Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

Failure detection is an essential task in industrial systems for preventing costly downtime and ensuring the seamlessoperation of the system. Current industrial processes are getting smarter with the emergence of Industry 4.0.Specifically, various modernized industrial processes have been equipped with quite a few sensors to collectprocess-based data to find faults arising or prevailing in processes along with monitoring the status of processes.Fault diagnosis of rotating machines serves a main role in the engineering field and industrial production. Dueto the disadvantages of existing fault, diagnosis approaches, which greatly depend on professional experienceand human knowledge, intellectual fault diagnosis based on deep learning (DL) has attracted the researcher’sinterest. DL reaches the desired fault classification and automatic feature learning. Therefore, this article designs a Gradient Optimizer Algorithm with Hybrid Deep Learning-based Failure Detection and Classification (GOAHDLFDC)in the industrial environment. The presented GOAHDL-FDC technique initially applies continuous wavelettransform (CWT) for preprocessing the actual vibrational signals of the rotating machinery. Next, the residualnetwork (ResNet18) model was exploited for the extraction of features from the vibration signals which are thenfed into theHDLmodel for automated fault detection. Finally, theGOA-based hyperparameter tuning is performedtoadjust the parameter valuesof theHDLmodel accurately.The experimental result analysis of the GOAHDL-FD Calgorithm takes place using a series of simulations and the experimentation outcomes highlight the better resultsof the GOAHDL-FDC technique under different aspects.

Research on the Digital Economy,Technological Innovation,and Transformation and Upgrading of the Manufacturing Industry in Shandong Province

Based on panel data from 16 cities in Shandong Province from 2013 to 2022,and grounded in theoretical analysis,this paper constructs a benchmark regression model,a mediating effect model,and a heterogeneity test for empirical analysis.The results show that:(1)the digital economy has a significant positive effect on promoting the transformation and upgrading of the manufacturing industry in Shandong Province;(2)the digital economy can drive the transformation and upgrading of the manufacturing industry through technological innovation;and(3)the impact of the digital economy on the transformation and upgrading of the manufacturing industry in Shandong Province is evidently heterogeneous.

Towards Production and Energy Coupling System Modeling and Simulation for Energy Optimization in the Process Industry

The production and energy coupling system is used to mainly present energy flow, material flow, information flow, and their coupling interaction. Through the modeling and simulation of this system, the performance of energy flow can be analyzed and optimized in the process industry. In order to study this system, the component based hybrid Petri net methodology (CpnHPN) is proposed, synthesizing a number of extended Petri net methods and using the concept of energy place, material place, and information place. Through the interface place in CpnHPN, the component based encapsulation is established, which enables the production and energy coupling system to be built, analyzed, and optimized on the multi-level framework. Considering the block and brief simulation for hybrid system, the CpnHPN model is simulated with Simulink/Stateflow. To illustrate the use of the proposed methodology, the application of CpnHPN in the energy optimization of chlorine balance system is provided.

The Impact of the Integration of Culture and Tourism Industry on the Upgrading of Tourism Industry Performance

Based on the provincial data of tourism and cultural industries from 2009 to 2019,this paper studies the impact of the integration of culture and tourism on the economic benefits of regional tourism in China.The results show that:①The integration level of the two industries is generally low in all provinces and regions,and the regional differences are obvious.The integration degree of the central and eastern regions is generally higher than that of the western regions.②The integration degree of culture and tourism has a significant positive impact on the economic benefits of regional tourism.The influence on the central and eastern regions is greater than that on the western regions.③The level of informatization has a positive moderating effect on the economic benefits of regional tourism caused by the integration of culture and tourism.④Government intervention has a negative moderating effect on the economic benefits of tourism.In addition,the level of regional economic development,accessibility and tourism resource endowment are also significant factors affecting the economic benefits of regional tourism.The results show that promoting the deep integration of culture and tourism,promoting the informatization of tourism and moderate government intervention in the industry are conducive to improving the economic benefits of regional tourism.

Who Gets up or Gets out?——A joint circular to urge textile industry to be restructured and upgraded

Ten governmental organizations recently issued a joint circular (No.762-2006, State Development & Reform Commission) to guide Chinese textile growth in the next five years (2006-2010). The circular, seriously taken as guideline policy, is given out amid aggravating factors for resources, environment, trade disputes, structural problems and other challenging issues that Chinese textile industry is supposed to address in

Fundamental Theories and Key Technologies for Smart andOptimal Manufacturing in the Process Industry

Given the significant requirements for transforming and promoting the process industry, we present themajor limitations of current petrochemical enterprises, including limitations in decision-making, produc-tion operation, efficiency and security, information integration, and so forth. To promote a vision of theprocess industry with efficient, green, and smart production, modern information technology should beutilized throughout the entire optimization process for production, management, and marketing. To focuson smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of themanufacturing process, operating mode, and supply chain management, we put forward several key scien-tific problems in engineering in a demand-driven and application-oriented manner, namely：intelligentsensing and integration of all process information, including production and management information; collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; cooperative control and optimization of plant-wide production processes via human-cyber-physical in-teraction; and Q life-cycle assessments for safety and environmental footprint monitoring, in addition totracing analysis and risk control. In order to solve these limitations and core scientific problems, we furtherpresent fundamental theories and key technologies for smart and optimal manufacturing in the processindustry. Although this paper discusses the process industry in China, the conclusions in this paper can beextended to the larocess industry around the world.

Whole-Process Pollution Control for Cost-Effective and Cleaner Chemical Production A Case Study of the Tungsten Industry in China

In this research,a methodology named whole-process pollution control(WPPC)is demonstrated that improves the effectiveness of process optimization.This methodology considers waste/emission treatment as a step of the whole production process with respect to the minimization of cost and environmental impact for the whole process.The following procedures are introduced in a WPPC process optimization:①a material and energy flow investigation and optimization based on a systematic understanding of the distribution and physiochemical properties of potential pollutants;②a process optimization to increase the utilization efficiency of different elements and minimize pollutant emissions;and③an evaluation to reveal the effectiveness of the optimization strategies.The production of ammonium paratungstate was chosen for the case study.Two factors of the different optimization schemes-namely the cost-effectiveness factor and the environmental impact indicator-were evaluated and compared.This research demonstrates that by considering the nature of potential pollutants,technological innovations,economic viability,environmental impacts,and regulation requirements,WPPC can efficiently optimize a metal production process.

The effects of population aging on industrial structure upgrading:Empirical analysis of provincial and threshold characteristics in China

Global population aging trends are intensifying,presenting multifaceted economic and social challenges for countries worldwide.As the world’s largest developing country,China has entered a phase of extreme demographic aging,posing significant questions about its impact on the ongoing upgrading of industrial structures.How does this demographic shift influence the upgrading of industrial structures,and does technological innovation mitigate or exacerbate this impact?The empirical results indicate that population aging impedes upgrading the industrial structure,while technological innovation positively affects the relationship between the two.Moreover,using technological innovation as a threshold variable,the impact of population aging on industrial structure upgrading evolves in a“gradient”manner from“impediment”to“insignificant”to“promotion”as the technological innovation levels increase.These findings offer practical guidance for tailoring industrial policies to different stages of technological advancement.

Training Mode of Design Talents under the Concept of Regional Revitalization and Industrial Upgrading

Based on the background of the revitalization of Northeast China and industrial transformation,with the goal of serving society with design,leading the future with design,and revitalizing the economy with design,we adhere to the innovative,comprehensive and cultural design talent cultivation concept,fully practice the“student-centered,output-oriented,continuously-improving”educational philosophy taking quality as the first priority,and continuously improve the theoretical system and implementation path for cultivation of postgraduate talents in design science,hoping to optimize the entire process of talent cultivation.Meanwhile,on the basis of“fostering character and civic virtue,cultivating people in a three-all manner,and cultivating people from five aspects simultaneously”,we cultivate high-quality design talents with brand-new models and ideas,through a series of educational reform measures,such as strategic cooperation,resource integration,systematic sorting,quality improvement,standard formulation,strengthening characteristics,platform construction,so that the quality of talents and social development can be perfectly integrated and mutually assist each other to achieve a win-win effect,and the training of design talents can be implemented and serve the society.

Study of the Optimization and Adjustment ofthe IndustrialStructure Subjected to Water Resource in the Drainage Area of the Yellow River

Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, and especially causes great harm to regions on the lower reaches. Based on the analysis of the relationship between the development of society and economy and water scarcity, the author thinks it is necessary to optimize and adjust the industrial structure that has extravagantly consumed enormous amounts of water, and to develop ecological agriculture, industry and tourism which are balanced with the ecological environment. Finally, the author puts forward several pieces of advice and countermeasures about how to build the economic systems by which water can be used economically.

A Two-Layer Active Power Optimization and Coordinated Control for Regional Power Grid Partitioning to Promote Distributed Renewable Energy Consumption

With the large-scale development and utilization of renewable energy,industrial flexible loads,as a kind of loadside resource with strong regulation ability,provide new opportunities for the research on renewable energy consumption problem in power systems.This paper proposes a two-layer active power optimization model based on industrial flexible loads for power grid partitioning,aiming at improving the line over-limit problem caused by renewable energy consumption in power grids with high proportion of renewable energy,and achieving the safe,stable and economical operation of power grids.Firstly,according to the evaluation index of renewable energy consumption characteristics of line active power,the power grid is divided into several partitions,and the interzone tie lines are taken as the optimization objects.Then,on the basis of partitioning,a two-layer active power optimization model considering the power constraints of industrial flexible loads is established.The upper-layer model optimizes the planned power of the inter-zone tie lines under the constraint of the minimum peak-valley difference within a day;the lower-layer model optimizes the regional source-load dispatching plan of each resource in each partition under the constraint of theminimumoperation cost of the partition,so as to reduce the line overlimit phenomenon caused by renewable energy consumption and save the electricity cost of industrial flexible loads.Finally,through simulation experiments,it is verified that the proposed model can effectively mobilize industrial flexible loads to participate in power grid operation and improve the economic stability of power grid.

Investigating the Influence of Digital Economy Growth on Industrial Structural Optimization and Upgrading

With the rapid development of the social economy,science and technology continue to upgrade and optimize,ushering in the digital era,which provides technical support for industrial innovation and development across all sectors.At this stage,vigorously developing the digital economy has gradually become the only means to optimize and upgrade the industrial structure.Therefore,local leaders and relevant departments need to enhance the importance of constructing the digital economy,enabling the local industrial structure to be optimized and upgraded under the impetus of the digital economy,ultimately promoting overall economic high-quality development.To this end,this paper,combined with existing research results,first elaborates on the positive impact of the digital economy on the optimization and upgrading of the industrial structure.It then analyzes the challenges hindering the process of industrial structure optimization and upgrading and proposes practical pathways to address them,benefiting relevant stakeholders.

Research on the Impact of Industrial Agglomeration and Structural Upgrade on County Economic Growth under the New Normal Condition-Based on the Empirical Study of 101 County Counties in Jiangsu and Zhejiang Provinces

In this paper, the method of generalized moments of data and systems for 101 counties in Jiangsu and Zhejiang Provinces is used to analyze the impact of industrial agglomeration and industrial structure upgrading on county economic growth. The real diagnosis result indicated that, the industry gathers with the industrial structure promotes has the forward function to the county territory economic growth rate, in the sample time that had not discovered the industry gathers to the economical growth existence non-linearity in？ uence. On the other hand, the industrial structure promotes to the county territory economy long-term growth power is stronger, later period should break through the present stage in the manufacturing industry mature county territory through the industrial structure promotion strategy the industry to glide down.

Is“Intelligence”More Capable of Promoting the Development of the Tertiary Industry?-Analysis of the Impact of Artificial Intelligence on Different Categories of Industries

In the new scientific and technological revolution round,artificial intelligence(AI)technology has become a key leading force for industrial change.Research shows that AI not only promoted technical transformation and industry upgrades but also played a significant role in the rapid development of emerging industries.Based on the installed number of industrial robots and the industrial data by the National Bureau of Statistics,this study establishes a theoretical framework with the econometric model and compares the impact of AI on different categories of industries through empirical analysis.Our results show that AI not only promotes economic growth but also plays a key role in promoting the tertiary industry.Hence,optimization of industrial structure and economic upgrade can be induced.

Research on Structural Renewal and Renovation Strategies for Industrial Heritage Projects-A Case Study of the Structural Renovation of the “Dahua 1935” Project

The wave of post-industrial evolution has led to the emergence of numerous industrial heritage renovation projects in recent years.The renovation and upgrading of the Dahua 1935 project preserve the memories of the previous industrial age while incorporating modern materials and technologies,resulting in a design that blends traditional and contemporary elements.This has made Dahua 1935 a new intellectual property(IP)symbol of Xi’an,earning praise from both residents and tourists from other provinces.Additionally,to achieve a unity of art and technology,Dahua 1935 underwent structural reinforcement and optimization to enhance its aesthetic appeal.This paper aims to further explore methods for structural optimization in the renovation of Xi’an’s industrial heritage projects by conducting on-site investigations,data collection,and structural analysis,building upon the structural analysis of Dahua 1935 in Xi’an.

How to Optimize the Structure of Agricultural Products in the Context of Reform of the Supply Front?

Based on reform of the supply front,this paper analyzes the main constraints on China's current structure of agricultural products,including irrational allocation of resources between agricultural products,prominent problems concerning agricultural product quality and safety,disconnection between market demand and agricultural product R&D,and low processing capacity of agricultural products. Based on summing up the experience of the countries with developed agriculture,this paper proposes the path and mechanism for the optimization of structure of agricultural products in China: optimizing resource allocation of agricultural products; improving the quality of agricultural products; enhancing the R&D capacity of agricultural enterprises; promoting the processing and conversion capacity of agricultural products; perfecting the policy support and subsidy mode.

Sulfamic acid functionalized slag for effective removal of organic dye and toxic metal from the aqueous samples

Surface functionalization of blast furnace slag with sulfamic acid(a zwitterion)was performed for the removal of Cr^(3+)and methylene blue dye(MB)from water samples.The slag functionalization process was optimized using Response Surface Methodology Design.Statistical analysis of the parameters that include the sulfamic acid amount(A),reaction time(B),and temperature(C)revealed that(A)increase had a negative effect on the adsorption of both pollutants by the zwitterion slag,whereas(B)and(C)increase presented a positive impact.At the optimum condition of 2 g sulfamic acid amount,50 min reaction time and 37℃ temperature,the prepared slag showed a removal efficiency of more than 90% for both Cr^(3+)and MB.Surface characterization by SEM/EDS,FTIR,XPS and surface area analyser,showed an improvement in surface properties and the incorporation of zwitterionic NH^(2+)and S=O groups of sulfamic acid.Adsorption isotherm and kinetic studies conducted with the zwitterion slag showed the adsorption process was suited to Freundlich isotherm model and pseudo-second-order kinetic model.The thermodynamic study conducted revealed the spontaneity of the process based on the calculated negativeΔG(Gibb’s free energy)values.The prepared zwitterion slag offered easy regeneration with dilute HCl solution and showed a considerable removal(Cr^(3+):65% and MB:80%)for both pollutants even after 3 cycles of usage.

Current Status of the Oil Refining Industry in China and Prospects for Cooperative Development

The oil refining industry in China supports the needs of national economic development and has gone through industrial upgrading at all stages, as represented by the upgrades in the quality of refined oil products.Currently, it has acquired strong technical and engineering strength and delivered good results in scale, information technology and environmental friendliness. However, compared with the world's leading oil refining powers, the oil refining industry in China still lags behind in terms of overall competitiveness. There is an urgent need to enhance its competitiveness and adjust its product structure, plant structure and capacity structure to both launch a new round of industrial upgrading and coordinate with the associated industries. Great potential exists for China to cooperate with the countries along the Belt and Road initiative in various fields such as petroleum resources, product markets and technical equipment. Together, multi-dimensional cooperation bonded by resources, markets, technologies and capital/funds can be carried out, and cooperation between the upstream and downstream industries throughout the industry chain can be facilitated. There is much to expect from the prospects for cooperative development.

Upgrade and Optimization Scheme:GSM Intelligent Network to Destination Network

The networking of intelligent networks involves overlay network and destination network.Destination network triggers intelligent services by the CAMEL Subscription Information(CSI),and it has broader applications than overlay network.Upgrade from existing network to destination network requires a multitude of preparations and tests.Cities and provinces upgrade their networks from the aspects of Service Control Point(SCP),Home Location Register(HLR),Mobile Switching Center(MSC),Gateway Mobile Switching Center(GMSC)and subsciption information through different processes.In order to fully realize the destination network after upgrading the accounting systems,the bill collection have to be rebuilt while the value-added services have to be upgraded.However,many difficulties,such as the Originating-CAMEL Subscription Information(O-CSI),the Terminating-CAMEL Subscription Information(T-CSI),and the special access number optimization,which all needs a particular solution,exist in upgrading.