Research on Key Points of Design of Standard Plants in Modern Industrial Parks Under the Background of Promoting the Development of New Quality Productive Forces

With the progress of science and technology and the acceleration of industrialization,the modern industrial park is an important carrier of industrial development.The importance of its standard plant design has become increasingly prominent.With the development of new quality productive forces as the background,this research deeply discusses the key points of standard plant design in modern industrial parks.This paper uses literature review and case analysis to systematically analyze the important role of standard plant design in developing new quality productive forces in modern industrial parks and puts forward suggestions for optimizing design.It is found that the rationality,intelligence,and environmental protection of plant design are the key factors affecting the development of new quality productive forces.The paper summarizes the core points of modern industrial park standard plant design to provide a reference for the future development of related industries.

Industrial Poverty Alleviation Model in Southwestern High-altitude Mountainous Areas of China——A Case Study of Industrial Poverty Alleviation of Xueshan Township in Luquan County of Yunnan Province through Planting Codonopsis pilosula

Due to the severe restrictions of natural conditions and ecological environment,high-altitude mountainous areas usually become the " hard bones" in the battle against poverty. Xueshan Township,Luquan Yi and Miao Autonomous County of Yunnan Province,located in the alpine valley of Jinsha River,is a major township with wide and deep poverty,and the incidence of poverty is up to 45. 00%. In recent years,Xueshan Township has insisted on the battle against poverty,made effort to develop the Codonopsis pilosula industry,and successfully developed a road to poverty alleviation through C. pilosula industry,and formed a unique industrial poverty alleviation model by the end of 2018,the incidence of poverty dropped to 0. 74%. Based on field survey and interview,this paper analyzes and summarizes the specific practices,main results,practical experience and promotion and application measures of the poverty alleviation model of C. pilosula planting industry in Xueshan Township,in the hope of providing certain reference for the targeted poverty alleviation in similar areas in Yunnan Province and other provinces of China.

Impact of industrial virtual power plant on renewable energy integration

An industrial park is one of the typical en ergy con sumption schemes in power systems owing to the heavy in dustrial loads and their abilities to resp ond to electricity price cha nges.Therefore,en ergy in tegrati on in the industrial sector is significant.Accordingly,the concept of industrial virtual power plant(IVPP)has been proposed to deal with such problems.This study demonstrates an IVPP model to man age resources in an eco-i ndustrial park,including en ergy storage systems,dema nd resp onse(DR)resources,and distributed energies.In addition,fuzzy theory is used to cha nge the deterministic system constraints to fuzzy parameters,considering the uncertainty of renewable energy,and fuzzy chance constraints are then set based on the credibility theory.By maximizi ng the daily ben efits of the IVPP owners in day-ahead markets,DR and energy storage systems can be scheduled economically.Therefore,the energy between the grid and IVPP can flow in both directions:the surplus renewable electricity of IVPP can be sold in the market;when the electricity gen erated in side IVPP is not enough for its use,IVPP can also purchase power through the market.Case studies based on three win d-level scenarios dem on strate the efficie nt syn ergies betwee n IVPP resources.The validatio n results indicate that IVPP can optimize the supply and demand resources in in dustrial parks,thereby decarbonizing the power systems.

Optimization of Load Assignment to Boilers in Industrial Boiler Plants

Along with the increasing importance of sustainable energy, the optimization of load assignment to boilers in an industrial boiler plant becomes one of the major projects for the optimal operation of boiler plants. Optimal load assignment for power systems has been a long-lasting subject, while it is quite new for industrial boiler plants. The existing methods of optimal load assignment for boiler plants are explained and analyzed briefly in the paper. They all need the fuel cost curves of boilers. Thanks to some special features of the curves for industrial boilers, a new model referred to as minimized departure model (MDM) of optimization of load assignment for boiler plants is developed and proposed in the paper. It merely relies upon the accessible data of two typical working conditions to build the model, viz. the working conditions with the highest efficiency of a boiler and with no-load. Explanation of the algorithm of computer program is given, and effort is made so as to determine in advance how many and which boilers are going to work. Comparison between the results using MDM and the results reported in references is carried out, which proves that MDM is preferable and practicable.

Industrial Poverty Alleviation Model in Deep Poverty-stricken Villages in the Dry-hot Valley of Jinsha River: A Case Study of Poverty Alleviation in the Green Prickleyash Planting Industry in Laopingzi Village,Luquan County

Industrial poverty alleviation is the core of poverty alleviation in rural areas of China,and it is the fundamental way for the rural poor to achieve stable income and poverty alleviation. Laopingzi Village,Jiaopingdu Town,Luquan County,Kunming County,Yunnan Province,located in the dry-hot valley area of Jinsha River,has become a typical deep poverty-stricken village due to its special natural conditions.In recent years,in the battle to win the fight against poverty,the people of Laopingzi Village have achieved a virtuous cycle of the ecological environment and an access to get rid of poverty and get rich through vigorously developing green prickleyash planting industry. By the end of 2018,the incidence of poverty in Laopingzi Village Committee dropped from 45. 62% in 2014 to 1. 11%,and the green prickleyash planting industry had achieved remarkable results in poverty alleviation. This article summarizes the specific practices of developing the green prickleyash planting industry in the village,analyzes the main results and successful experiences of the mode and discusses the inspiration of the implementation of green prickleyash cultivation on industrial poverty alleviation,so as to provide an effective practical example for the development and poverty alleviation of poverty-stricken areas.

The Adaptive Planting and the Prospect of Industrial Development of Quinoa in China

Quinoa is the only single plant meeting the basic nutritional needs of the human body. It is the whole nutritious food with nutritional balance, wide adaptability, strong resistance and other characteristics. In this paper, the botanical characteristics and nutritional value of quinoa were systematically introduced, and the development of quinoa in China was reviewed. The problems of domestic quinoa industry, the shortage of germplasm resources, the lack of innovation and high-yielding cultivation techniques were analyzed. To provide theoretical references for quinoa planting and industrial development in China, the countermeasures to improve the investment of quinoa industry and promote the development of multi-form industry were put forward.

Simulation of Low TDS and Biological Units of Fajr Industrial Wastewater Treatment Plant Using Artificial Neural Network and Principal Component Analysis Hybrid Method

Being familiar with characteristics of industrial town effluents from various wastewater treatment units, which have high qualitative and quantitative variations and more uncertainties compared to urban wastewaters, plays very effective role in governing them. With regard to environmental issues, proper operation of wastewater treatment plants is of par- ticular importance that in the case of inappropriate utilization, they will cause serious problems. Processes that exist in environmental systems mostly have two major characteristics: they are dependent on many variables;and there are complex relationships between its components which make them very difficult to analyze. In order to achieve a better and efficient control over the operation of an industrial wastewater treatment plant (WWTP), powerful mathematical tool can be used that is based on recorded data from some basic parameters of wastewater during a period of treatment plant operation. In this study, the treatment plant was divided into two main subsystems including: Low TDS (Total Dissolved Solids) treatment unit and Biological unit (extended aeration). The multilayer perceptron feed forward neural network with a hidden layer and stop training method was used to predict quality parameters of the industrial effluent. Data of this study are related to the Fajr Industrial Wastewater Treatment Plant, located in Mahshahr—Iran that qualita- tive and quantitative characteristics of its units were used for training, calibration and validation of the neural model. Also, Principal Component Analysis (PCA) technique was applied to improve performance of generated models of neural networks. The results of L-TDS unit showed good accuracy of the models in estimating qualitative profile of wastewater but results of biological unit did not have sufficient accuracy to being used. This model facilitates evaluating the performance of each treatment plant units through comparing the results of prediction model with the standard amount of outputs.

Performance Simulation of H-TDS Unit of Fajr Industrial Wastewater Treatment Plant Using a Combination of Neural Network and Principal Component Analysis

Nowadays, with regard to environmental issues, proper operation of wastewater treatment plants is of particular importance that in the case of inappropriate utilization, they will cause serious problems. Processes that exist in environmental systems and environmental engineers are dealing with them mostly have two major characteristics: they are dependent on many variables;and there are complex relationships between its components which make them very difficult to analyze. Being familiar with characteristics of industrial town effluents from various wastewater treatment units, which have high qualitative and quantitative variations and more uncertainties compared to urban wastewaters, plays very effective role in governing them. In order to achieve a better and efficient control over the operation of an industrial wastewater treatment plant, powerful mathematical tool can be used that is based on recorded data from some basic parameters of wastewater during a period of treatment plant operation. In this study, the multilayer perceptron (MLP) feed forward neural network with a hidden layer and stop training method was used to predict quality parameters of the industrial effluent. Data of this study are related to the Fajr Industrial Wastewater Treatment Plant located in Mahshahr—Iran that qualitative and quantitative characteristics of its units were used for training, calibration and evaluation of the neural model. Also, Principal Component Analysis technique was applied to modify and improve performance of generated models of neural networks. The results of this model showed good accuracy of the model in estimating qualitative pro- file of wastewater. This model facilitates evaluating the performance of each treatment plant units through comparing the results of prediction model with the standard amount of output.

The Status Quo and Countermeasures of Planting and Industrial Development of Poria cocos in Luotian County

We conduct a field survey of the status quo of planting and industrial development of Poria cocos in Luotian County.The results show that at present,Luotian County develops a set of standardized Poria cocos cultivation technique,and some areas use the guideline of "four changes" to plants Poria cocos.The main problems faced by planting of Poria cocos currently are as follows:insufficient popularization of standardized Poria cocos cultivation technique;low processing level of Poria cocos;chaotic source of germplasm;lack of science and technology input;single industrial development pattern;shortage of well-known brands of products.In accordance with the above findings,we put forward the following recommendations:extensively promoting the guideline of " four changes";focusing on development and utilization of Poria cocos byproducts;implement listing-for-sales to clarify the source of Poria cocos strain;tightening the bonds with research institutes and large enterprises to promote science and technology input into Poria cocos;encouraging the coexistence of diverse industrial development pattern.

Effect of Industrial Sludge Application on Soil Nitrogen and Wheat Plant Response

Wazirpur industrial area of Delhi generates a huge quantity of sludge per day, which is highly acidic in nature (pH 2.7 to 4.4) and contains macronutrients, micronutrients as well as toxic metals. A pot-culture experiment was conducted by taking the two soils (JNU and Chhattarpur) amended with sludge (0%, 10%, 20%, 30%), pretreated with lime (0%, 0.5% and 1%). Two wheat seedlings were planted per pot containing 3 kg sludge amended or control soil and the experiment was carried out till harvesting (four months) in a glass house. Lime treatments enhanced the N content in wheat plant in almost all cases. Sludge and lime treatments enhanced dry weight in wheat plants grown in Chhattarpur soil and dry weight increased with time. Maximum growth was observed in 0.5 lime treated and 20% sludge amended soils. But we have to take an account about any kind of metal toxicity before disposal of this waste to land.

Training More Key Members of Plant Engineering for Industrial Enterprises

The plant is the material base of modern industry.In order to improve the performance of plants and the quality of products,it is very important that more key members shuld be educated and trained for mastering the maintenance and management of modern equipment.Since the founding of the China Research and Education Center of Plant Engineering(CRECPE)in 1984,the short-time training class has run 102 times,and more than 6 000 people trained during the past twelve years.This paper introduces modern industrial training based at CRECPE:its experiences, its training programs and methods,its new problems,and developments in the future.

Corrosion in Control Systems Decrease the Lifetime of the Electronic Devices of the Industrial Plants of Mexicali,BC,Mexico

The principal factor to determine the economical value of the products manufactured in the electronics industry is due to the productive yielding. This is important for the cost of the articles fabricated in this type of industrial plants installed in Mexicali city, where around 80% of companies are, and which fabricate electronic devices and systems, or have industrial electronic systems and machines to their manufacturing process. Mexicalicity is located in theBaja CaliforniaStateof the northwest ofMexico, which is a border city with Calexico in theCaliforniaStateof the United States of America (USA). The region located in Mexicali, is a desert area. Geothermal plant is located in this area, which is an important industry and supplies electricity to this city and its valleys and some cities on southwest of United States for daily activities. This company emits hydrogen sulfide (H2S) as a main air pollutant that reacts with oxygen in the atmosphere, generating sulfur oxides (SOX). This chemical is dispersed to the city of Mexicali in which industrial plants are located with electronic control systems, and penetrates to indoor rooms. Those cause the corrosion process. The presence of corrosion leads to the deterioration of electrical connectors, the connections of electronic systems and the decreasing of the lifetime of these control systems. Other air pollutants that are considered as chemical agents which cause damage to materials used in the electronics industry, are the sulfurs and nitrogen oxides (NOX), emitted from the traffic vehicle and some industries. This causes the low productive yielding of electrical and electronic devices and systems used in the companies of this city, and is a major concern to specialized people, managers and owners. To analyze the productive yielding of electronic devices and systems installed in indoor of the electronics industry. For this reason, to know the principal causes of it, a study in three industrial plants, to determine the grade level of deterioration of the electronic control systems (ECS) used in the electronics industry of this city was made. The results showed that at major air pollution concentration detected by specialized methods, the lifetime of the ECS was decreased by the generation of corrosion in their electrical connectors and connections. This was caused for the levels of air pollutants mentioned above, than exceed the air quality standards in some periods of the year, added with the levels upper of relative humidity levels (RH) and temperatures of 85% and 25°C in winter and 80% 35°C in summer, being a main factor of this electrochemical phenomenon.

Real-time performance of periodic data transmission in EPA industrial Ethernet

To evaluate and improve the real-time performance of Ethernet for plant automation（EPA） industrial Ethernet,the real-time performance of EPA periodic data transmission was theoretically and experimentally studied.By analyzing information transmission regularity and EPA deterministic scheduling mechanism,periodic messages were categorized as different modes according to their entering-queue time.The scheduling characteristics and delivery time of each mode and their interacting relations were studied,during which the models of real-time performance of periodic information transmission in EPA system were established.On this basis,an experimental platform is developed to test the delivery time of periodic messages transmission in EPA system.According to the analysis and the experiment,the main factors that limit the real-time performance of EPA periodic data transmission and the improvement methods were proposed.

Development and Installation of High Pressure Boilers for Co-Generation Plant in Sugar Industries

The sugar cane containing minimum 30% fiber was referred as bagasse and used the generation of power required for the operation of sugar mill. The bagasse is fired in the boiler for producing steam at high pressure, which is extracted through various single high capacity turbines and used in the process. The installation of high pressure boilers and high pressure turbo-generators has provision for the operation of co-generation plant during the off-season also that enhances the power generation from 9MW to 23MW. The annual monetary benefits achieved are Rs. 204.13 million and this was based on cost of power sold to the grid @ Rs 2.548 per unit, sugar season of 219 days and off season of 52 days. This required an investment of Rs 820.6 million. The investment had an attractive simple payback period of 48 months.

Can Industrial By-products Be Used as Tools in Sustainable Agriculture？

The goal of our study is to present results about the effects of selected industrial wastes-sewage sludge, lime sludge, compost-on the physiological parameters of plants. Maize seedlings （Zea mays L cvs. Norma SC） were used in soil plant （rhizobox） and nutrient solution plant system. The filtrates of the examined materials were used in the nutrient solution and the raw materials in the soil. Dry matter accumulation of shoots and roots, relative chlorophyll contents and the contents of some elements were measured in the plants grown on the nutrient solution. The examined materials contain some useful elements for plants e.g. Cu, Fe, K, and Mg and plenty of toxic metals e.g. AI, Cr. Root growth in the rhizoboxes was monitored, as well as that of roots in the experiment using soil. This type of growth was more intensive with the use of lime sludge than with of sewage sludge. On the other hand, the results were better at the sewage sludge than the lime sludge on the nutrient solution.

Pushing Forward Industrialization of Thermal Power Desulfuration

This paper introduces present state of industrialization development in flue gas desulfuration, including technological selection, state of design and contracting capability, localization of equipment, etc. in China. It points out main problems currently existed and presents proposals on promotion of desulfuration technology with selfowned intellectual property right, perfection of demonstrative projects and pushing forward localization of desulfuration equipment.

新时期种植业保障我国食物安全战略研究

种植业产品是保障我国食物安全的关键,种植业的发展支撑了我国由“吃得饱”到“吃得好”的历史性转变,促进了居民膳食质量的逐步提升;新时期我国种植业发展面临资源环境压力、极端气候冲击以及国际地缘政治格局不稳等内外部风险因素的挑战,亟需探讨可行性发展战略以确保食物安全。通过对2035年、2050年种植业食物供需形势预测后得出,未来我国粮食净进口主要集中在大豆和玉米,油菜籽和糖的自给水平将继续下降,花生和水果的自给水平将先降后升,蔬菜始终保持自给有余的态势。基于此,本文梳理了新时期保障我国食物安全面临的挑战,提出了新时期种植业保障我国食物安全的战略构想,主要包括采取种植业产品生产能力提升和结构优化、资源高效利用与低碳生产推进、消费结构引导与健康观念培育、农业科技创新与装备支撑、新型经营主体创新等战略举措,实施种植业科技创新、种植业产品质量提升、种植业生态保护、蛋白替代等重大工程。研究建议,坚持“口粮绝对安全、谷物基本自给”总体战略,分区域制定产业发展优先序,加快补齐农业基础设施与科技短板,健全重大危机应对战略体系,以此增强种植业发展水平,切实保障我国食物安全。

精密设备防微振基台动力特性分析与研究

电子制程产业属于高投入、高产出的技术密集型行业,其精密工业设备对微振动环境要求较严格,因此防微振基台尤为重要。基于有限元分析与工程实测方法,分析基台板厚对防微振基台结构固有频率、动刚度等动力特性的影响,并结合精密设备容许振动标准对不同厚度基台振动响应进行振动评估,为精密设备防微振基台设计提供理论依据和制程。

农业经济转型视角下饲料产业结构调整对策研究

要实现农业产业的高质量发展就需要积极推动农业经济的转型升级。而饲料产业作为农业经济的重要组成部分,以结构调整的方式提高饲料产业的绿色化、集约化、低碳化发展水平,有利于实现三产融合,进一步提高农业经济的市场竞争力。为此,饲料产业要把握好农业经济转型视角下的机遇,并针对饲料产业存在的挑战提出结构调整对策,从而实现饲料产业的高质量发展。

中国粮食种植业碳效应时空演化及碳排放公平性

农业低碳转型背景下,准确把握粮食种植业碳效应时空演化及碳排放公平性特征对实现地区生态正义具有重要意义。基于2000—2021年省域面板数据,采用碳排放因子法测算中国30个省区的粮食种植业碳效应,利用核密度估计方法探析时空演化,运用Dagum基尼系数法刻画并解构全国粮食种植业碳排放公平性。研究表明:(1)从时空特征看,粮食种植业碳效应呈现波动上升的净碳汇特征,具体表现为“东强西弱,北高南低”的空间格局,且伴随明显的“马太效应”。在碳效应结构上,秸秆燃烧与玉米种植分别是粮食种植业最主要的碳源与碳汇。(2)从演化趋势来看,全国粮食种植业碳效应的非均衡性呈扩大趋势;在三大主粮中,水稻碳效应非均衡性有所减弱,小麦与玉米碳效应非均衡性均持续上升。(3)从碳排放公平性来看,区域间碳排放差异已成为影响公平性的最主要因素,基尼系数呈“快速上升-波动震荡-缓慢回落”特征,全国粮食种植业碳排放始终处于较公平区间,整体公平性呈改善态势;在三大主粮中,水稻碳排放公平性最低,玉米碳排放公平性最高。最后,提出了采取差异化固碳减排策略、构建低碳发展跨区协作机制、完善碳排放责任分摊机制、探索粮食碳汇交易试点等建议,以期推动我国粮食种植业实现低碳转型发展。