Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing industry.General DFJSP research only considers machine constraints and ignores worker constraints.As one critical factor of production,effective utilization of worker resources can increase productivity.Meanwhile,energy consumption is a growing concern due to the increasingly serious environmental issues.Therefore,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this paper.To solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling schemes.To further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are proposed.These strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto solutions.The effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 instances.The results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

Energy-Saving Construction Technologies for Buildings

The development of the construction industry is shifting towards low-carbon construction,so it is necessary to improve and optimize related construction concepts,methods,and processes.By improving resource and energy control efficiency in building projects,minimizing construction waste,and reducing environmental impact,a foundation for the sustainable development of the industry can be established.This paper mainly analyzes the significance of low-carbon energy-saving construction technology and the control factors of construction,summarizes the status quo of the development of building energy-saving construction,and puts forward strategies for applying building energy-saving construction technology.These strategies serve to achieve low-carbon and energy-saving goals to promote the healthy development of energy-saving construction.

Application of Energy-Saving Materials in Architectural Design

The conventional process of building construction is associated with issues such as the waste of construction materials and environmental pollution.Sustainable development highlights the importance of energy conservation and eco-friendly practices.It is essential to use energy-efficient and green materials in building designs to ensure the healthy growth of construction companies.This article discusses the advantages and principles of incorporating energy-saving materials in architectural design.It examines the strategies and critical control points for using energy-saving materials in architectural design,offering guidance for the sustainable development of the construction industry.

Exploration of Energy-Saving Technologies in Building Electrical System Design

Green energy conservation is the mainstream trend in the current development of the construction industry.The application of energy-saving technology in building electrical system design can effectively reduce energy consumption,avoid unnecessary energy consumption,and truly achieve energy conservation and environmental protection.Based on this,the article elaborates on the principles of energy-saving design in building electrical systems,and actively explores the application of energy-saving technologies from different perspectives such as optimizing power supply and distribution system design,adopting high-efficiency energy-saving lighting equipment,applying renewable energy,promoting smart home technology,and improving the efficiency of building electrical equipment.

Automobile Transportation Logistics Supply Chain Management Strategy

To enhance the management level and quality of the automobile transportation logistics supply chain and promote innovation and development in automobile transportation logistics enterprises,it is essential to strengthen the construction of the automobile transportation logistics supply chain management model.This can be achieved through the gradual improvement of the automobile transportation logistics management process,ensuring that the management of the automobile transportation logistics supply chain proceeds in an orderly manner.The aim is to improve automobile transportation and logistics service levels while meeting the changing market supply needs.This will enable automobile transportation and logistics enterprises to maintain steady economic benefits and enhance their core competitiveness in the market.Therefore,this paper has conducted a comprehensive exploration and research on managing the automobile transportation logistics supply chain.Corresponding management strategies are proposed as a starting point to achieve the aforementioned goals.

Research on the Dual-Creation Talent Training Model of New Energy Automobile Based on Virtual Simulation

At present,as China vigorously develops new energy automobiles,the social demand for related talents has increased significantly,so the relevant institutions need to optimize and adjust the talent training mode to help the development of new energy automobiles.This paper summarizes the existing problems of China’s new energy automobile talent training mode,and analyzes the significance of the virtual simulation-based dual-creation talent training mode of new energy automobile and its specific implementation strategies,in order to provide references for the relevant personnel.

Green,Sustainable Architectural Bamboo with High Light Transmission and Excellent Electromagnetic Shielding as a Candidate for Energy-Saving Buildings

Currently,light-transmitting,energy-saving,and electromagnetic shielding materials are essential for reducing indoor energy consumption and improving the electromagnetic environment.Here,we developed a cellulose composite with excellent optical transmittance that retained the natural shape and fiber structure of bamboo.The modified whole bamboo possessed an impressive optical transmittance of approximately 60%at 6.23 mm,illuminance of 1000 luminance(lux),water absorption stability(mass change rate less than 4%),longitudinal tensile strength(46.40 MPa),and surface properties(80.2 HD).These were attributed to not only the retention of the natural circular hollow structure of the bamboo rod on the macro,but also the complete bamboo fiber skeleton template impregnated with UV resin on the micro.Moreover,a multilayered device consisting of translucent whole bamboo,transparent bamboo sheets,and electromagnetic shielding film exhibited remarkable heat insulation and heat preservation performance as well as an electromagnetic shielding performance of 46.3 dB.The impressive optical transmittance,mechanical properties,thermal performance,and electromagnetic shielding abilities combined with the renewable and sustainable nature,as well as the fast and efficient manufacturing process,make this bamboo composite material suitable for effective application in transparent,energy-saving,and electromagnetic shielding buildings.

Separation of Pd and Pt from highly acidic leach liquor of spent automobile catalysts with monothio-Cyanex 272 and trioctylamine

Platinum group metals(PGMs),especially Pd,Pt,and Rh,have drawn great attention due to their unique features.Direct separation of Pd and Pt from highly acidic automobile catalyst leach liquors is disturbed by various factors.This work investigates the effect of various parameters including the acidity,extractant concentration,phase ratio A/O,and diluents on the Pd and Pt extraction and their stripping behaviors.The results show that the Pd and Pt are successfully separated from simulated leach liquor of spent automobile catalysts with monothioCyanex 272 and trioctylamine(TOA).Monothio-Cyanex 272 shows strong extractability and specific selectivity for Pd,and only one single stage is needed to recover more than 99.9% of Pd,leaving behind all the Pt,Rh,and base metals of Fe,Mg,Ce,Ni,Cu,and Co in the raffinate.The loaded Pd is efficiently stripped by acidic thiourea solutions.TOA shows strong extractability for Pt and Fe at acidity of 6 mol·L^(–1) HCl.More than 99.9% of Pt and all of the Fe are extracted into the organic phase after two stages of countercurrent extraction.Diluted HCl easily scrubs the loaded base metals(Fe,Cu,and Co).The loaded Pt is efficiently stripped by 1.0 mol·L^(–1) thiourea and 0.05–0.1 mol·L^(–1) Na OH solutions.Monothio-Cyanex 272 and TOA can realize the separation of Pd and Pt from highly acidic leach liquor of spent automobile catalysts.

Low-content Pt-triggered the optimized d-band center of Rh metallene for energy-saving hydrogen production coupled with hydrazine degradation

Utilizing the hydrazine-assisted water electrolysis for energy-efficient hydrogen production shows a promising application, which relies on the development and design of efficient bifunctional electrocatalysts. Herein, we reported a low-content Pt-doped Rh metallene(Pt-Rhene) for hydrazine-assisted water electrolysis towards energy-saving hydrogen(H_(2)) production, where the ultrathin metallene is constructed to provide enough favorable active sites for catalysis and improve atom utilization.Additionally, the synergistic effect between Rh and Pt can optimize the electronic structure of Rh for improving the intrinsic activity. Therefore, the required overpotential of Pt-Rhene is only 37 mV to reach a current density of-10 mA cm^(-2) in the hydrogen evolution reaction(HER), and the Pt-Rhene exhibits a required overpotential of only 11 mV to reach a current density of 10 mA cm^(-2) in the hydrazine oxidation reaction(HzOR). With the constructed HER-HzOR two-electrode system, the Pt-Rhene electrodes exhibit an extremely low voltage(0.06/0.19/0.28 V) to achieve current densities of 10/50/100 mA cm^(-2) for energy-saving H_(2) production, which greatly reduces the electrolysis energy consumption. Moreover,DFT calculations further demonstrate that the introduction of Pt modulates the electronic structure of Rh and optimizes the d-band center, thus enhancing the adsorption and desorption of reactant/intermediates in the electrocatalytic reaction.

Assessment of Air Quality in Brazzaville: Measurement of Some Automobile Pollutants

Atmospheric pollution is currently a real public health problem because of its potentially harmful effects on the environment as well as on human health. Several studies conducted in America, Europe, Asia, and Africa have established a significant link between air pollution and cancer, infertility, cardiovascular and respiratory morbidity, and mortality. This study aims to measure some automotive pollutants (CO, CO2, NO2, and SO2) by a selective and colorimetric method using a measurement system on Dräger reagent tubes coupled to a Dräger Accuro sampling pump in order to do a quantitative assessment of air quality in the nine districts of Brazzaville. The results obtained during this study revealed high concentration levels of pollutants (CO, CO2, NO2, SO2), all above the standards recommended by the WHO. The results obtained during this study made it possible to categorise Brazzaville as a polluted city.

The Development of Intelligent Automobile Industry Is Constantly Updated

“Developing smart cars is not only a strategic choice,but is also a requirement for industrial and social development.Intelligence determines the outcome of the competition in the second half of the automobile revolution.The new output value of cars driven by intelligence will reach RMB 2.8 trillion by 2030,”said Zhang Yongwei,Vice Cha i rma n a nd Secretary General of China EV100,at the 2023 Globa l Intel ligent Vehicle Summit(GIV 2023).While consolidating the development advantages of new energy vehicles,he emphasized that new competitiveness must be formed through intelligence.

Automobile Pollution and Risk of Impaired Lung Function and Oxygen Saturation among Vendors Near Road Traffic in Brazzaville, Congo

Context: Automobile pollution is becoming a potential threat to the cardiorespiratory health of the urban population of sub-Saharan Africa. The present study aims to evaluate the level of concentrations of fine particles (PM2.5 and PM10) near road traffic and the effects of exposure to automobile pollutants on pulmonary function and arteriolar blood oxygen saturation among sellers around road traffic. Materials and Methods: The study recruited 48 healthy people carrying out a sales activity near road traffic. PM2.5 and PM10 measurements were taken from 6 a.m. to 6 p.m. using a Temtop Airing-1000 portable particle detector. Spirometric measurements were taken in the morning and in the evening from a portable Spirobank G spirometer. Oxygen saturation measurements were also taken in the morning and evening using a Pulse oxymeter CMS50D pulse oxymeter. Results: Mean values of forced vital capacity (FVC), forced expiratory volume in one second (FEV1), peak expiratory flow (PEF), and forced expiratory flow between 25% and 75% of forced vital capacity (FEF25 - 75) recorded in the evening were significantly lower than those obtained in the morning in the subjects of the total group and in the men. Only the mean values of PEF and FEF25 - 75 obtained in the evening were significantly lower than those recorded in the morning in women. Minimum PM2.5 values recorded near road traffic were negatively correlated with evening PEF in men, while maximum PM10 values were negatively correlated with evening PEF in women. The blood oxygen saturation recorded in the evening was significantly lower than that obtained in the morning. Conclusion: Short-term exposure to automobile pollutants has adverse effects on lung function and oxygen saturation in people carrying out a sales activity near road traffic.

Trip Purposes of Automobile Users Inference Using Multi-day Traffic Monitoring Data

Determining trip purpose is an important link to explore travel rules. In this paper,we takea utomobile users in urban areas as the research object,combine unsupervised learning and supervised learningm ethods to analyze their travel characteristics,and focus on the classification and prediction of automobileu sers’trip purposes. However,previous studies on trip purposes mainly focused on questionnaires and GPSd ata,which cannot well reflect the characteristics of automobile travel. In order to avoid the multi-dayb ehavior variability and unobservable heterogeneity of individual characteristics ignored in traditional traffic questionnaires,traffic monitoring data from the Northern District of Qingdao are used,and the K-meansc lustering method is applied to estimate the trip purposes of automobile users. Then,Adaptive Boosting(AdaBoost)and Random Forest(RF)methods are used to classify and predict trip purposes. Finally,ther esult shows:(1)the purpose of automobile users can be mainly divided into four clusters,which includeC ommuting trips,Flexible life demand travel in daytime,Evening entertainment and leisure shopping,andT axi-based trips for the first three types of purposes,respectively;(2)the Random Forest method performss ignificantly better than AdaBoost in trip purpose prediction for higher accuracy;(3)the average predictiona ccuracy of Random Forest under hyper-parameters optimization reaches96.25%,which proves the feasibilitya nd rationality of the above clustering results.

Design of Diversified Intelligent Control System for Energy-saving Optimization of Solar Greenhouse in North China

Intelligent greenhouse can promote the development of modern agriculture, realize the high quality and high yield of crops, and also bring greater economic benefits. In accordance with the climate conditions in northwest China, a set of intelligent control system for diversified environment of solar greenhouse was designed. The system divides the annual greenhouse control into six stages according to the optimal energy saving. It uses modern detection technology to collect the greenhouse environmental temperature, environmental humidity, soil humidity, CO_(2) concentration and illumination parameters under different working modes. It uses programmable logic control technology to realize the data processing of various parameters and the action control of rolling film, wet curtain fan and other actuators. It uses KingView monitoring software to realize the monitoring and manual control of greenhouse environment parameters. The operation results indicate that the control system runs stably and basically meets the control requirements.

Behavior characteristics and market operation problems of existing building energy-saving renovation market

The long-term and effective implementation of the existing building energy efficiency renovation depends on the development of the existing building energy efficiency renovation market.The key to the development of the existing building energy efficiency renovation market is the joint role of the market players.Starting with the analysis of the externalities and information asymmetry of the existing building energy efficiency renovation market,this paper analyzes the behavioral characteristics and influencing factors of the existing building energy efficiency renovation market entities(central government,local government,owners,energy conservation service enterprises,third-party evaluation institutions,and other market entities),and reveals the problems of the existing building energy efficiency renovation market,such as the absence of government,the lack of main power,and the lack of financing channels,Thus,it lays a platform foundation for the research on the behavior strategy and security system of the existing building energy-s aving renovation market.

Multi-subject and multi-objective integrated optimization system and implementation strategy for energy-saving renovation of the existing residential buildings

The core of the healthy and orderly operation of the existing residential building energy-saving renovation market lies in the exploration of the implementation mechanism of multi-subject and multi-objective integrated optimization.The multi-agent and multi-objective integrated optimization system framework is a powerful tool to guide the scientific decision-making of the market core structural entities in the future market practice. This paper analyzes the practical dilemma of energy-saving renovation of theexisting residential buildings in China, summarizes the practical experience of multi-subject and multi-objective integrated optimization of energy-saving renovation of the existing residential buildings in foreign countries, and puts forward beneficial practical enlightenment on the basis of comparison at home and abroad;The design principles of the target integrated optimization system have established a multi-subject and multi-objective integrated optimization system framework for the energy-saving renovation of the existing residential buildings, from six aspects: government guidance, trust consensus, value co-creation, risk sharing, revenue sharing, and social responsibility sharing. This paper proposes a multi-subject and multi-objective integrated practice strategy, in order to promote the efficient and orderly development of China's existing residential building energy-saving renovation market.

A Historical Approach on the Opportunity to Acquire Technology Development Capability in Turkish Automobile Industry

Turkey has given importance to the development of the automobile industry since the Ottoman period.While the Ottomans,who were aware of the development process of the automobile industry in the world,provided transportation by horse-drawn carriage,they thought of importing automobiles for the Sultan and high-level bureaucrats in an effort to switch to automobile transportation.However,after the proclamation of the Republic,automobile production started,just like airplanes.While a factory was established for the production of a domestic aircraft,the first automobile production facility was established in Istanbul in 1929 by the American Ford company.This factory was closed after a short time due to the world economic crisis.After the activities of the Kayseri Aircraft Factory,which lasted until 1948,came to an end,this time,Revolution car prototypes could be manufactured completely domestically in 1961.After the project,which did not go into mass production,the KoçGroup started to produce the domestically-made Anadol car with technology transfer from multiple sources in 1967,but the production of Anadol continued until 1984.In 1971,Renault cars started to be produced under the French Renault license,and TOFAŞcars under the Italian FIAT license.Towards the end of the 1970s,creative imitation applications were made in TOFAŞcars with the bird series.In the 1990s,the production of Japanese Honda and Toyota and South Korean Hyundai cars started.In 2011,the idea of producing a domestic automobile emerged,the Devrim automobile was taken as an example in this project,the first Togg prototype was manufactured with technology transfer from multiple sources in December 2018,and it was announced that mass production would begin in March 2023.The 12-year period from 2011 to 2023 is too long for the creation of a domestic automobile.It has been understood that this long process has been passed in order to regain the pre-1980 level of technological ability.However,the most important thing is the transition from the creative imitation stage to the innovation stage.Our wish is that this process can be shortened with phase skipping approaches.

Exposure to Automobile Pollutants and Sperm Quality among Mechanics in Brazzaville (Congo)

Atmospheric pollution is today at the heart of all debates because of its potentially harmful effects on the environment, the climate, and human health;it currently constitutes a real public health problem. However, the increase in infertility around the world has led scientists to look for a link between air pollution and fertility. This study consisted of evaluating the short-term influence of automobile pollution on the semen parameters of mechanics in Brazzaville. A cross-sectional, analytical, prospective study between two groups (G1, exposed people and G2, unexposed people) was carried out in Brazzaville on 228 patients, i.e., G1 with 76 subjects and G2 with 152 subjects, between June 2020 and September 2022, a period of 27 months, in order to evaluate, on the one hand, the quality of sperm in men exposed to automobile pollution according to WHO recommendations and, on the other hand, the quality of the air by a colorimetric method, punctual on a Dräger tube coupled with a Dräger Accuro pump. The concentrations of automotive pollutants measured (CO, CO2, NO2, SO2) during this study were all above the 2021 air quality standards required by WHO. These results made it possible to establish a statistically significant link between air pollution and abnormal spermogram parameters, notably mobility, count, and morphology for the spermocytogram. Exposures to automobile pollutants can influence sperm quality, which is consistent with the results of our study. We observed an alteration in the morphology, mobility, and concentration of spermatozoa.

On the Digital Transformation of the Automobile Manufacturing Industry in the Chengdu-Chongqing Economic Circle:Mechanism of Action and Feasible Paths

With a long industrial chain and a powerful ability to drive other industries,the automobile manufacturing industry has a prominent strategic position in the national economy.In recent years,many countries have put on their agenda the digitalization of the automobile manufacturing industry,leading to an connected,autonomous,shared,and electric(also known as CASE)①development trend in the industry.As one of the six major automobile industry clusters in China,the Chengdu-Chongqing economic circle has achieved initial results in the digital transformation of the automobile manufacturing industry.However,the region is still faced with some constraints,such as insufficient digital infrastructure,relatively slow development of new automobile products,insufficient innovation ability of the automobile industry,and complex digital transformation of small and medium-sized automobile enterprises(automobile SMEs).This paper intends to construct a framework for the mechanism of action of the digital transformation in the automobile manufacturing industry,analyze the effects of the digital transformation of the automobile manufacturing industry in the Chengdu-Chongqing economic circle,and propose feasible paths for the digital transformation of the automobile manufacturing industry in the region by drawing on domestic and international experience in this regard.The specific paths include:(a)Smoothing the“dual-core”data chain to facilitate the digital transformation of the automobile manufacturing industry;(b)Developing the new energy vehicle(NEV)industry to upgrade the quality of automobile products;(c)Achieving corner overtaking in the digital transformation of the automobile manufacturing industry with digital technology;(d)Jointly building the automobile industrial park to promote the digital transformation of the industry;(e)Addressing problems facing automobile SMEs in digital transformation via targeted policy tools.

China's automobile manufacturing sector logs steady growth in H1

China's automobile manufacturing industry registered steady expansion in terms of production,revenue,and profit in the first half of this year(H1),industry data shows.