Operation and Management of Electrical Equipment in Iron and Steel Enterprises

How to ensure the reliable operation of the complex and huge electrical system composed of a large number of electrical equipment in iron and steel enterprises?Combined with working experience,the author introduces four main factors affecting the normal operation of equipment,analyzes five main problems existing in the operation and management of electrical equipment,and puts forward corresponding improvement measures,so as to improve the management level of electrical equipment in iron and steel enterprises.

Supply Chain Cooperation between Coal Enterprise and Electric Power Enterprise in China

Based on the two-stage Stackelberg game method, value creation of supply chain cooperation between coal enterprise and power utilities is studied by formulating profit functions of coal and power enterprises and calculating the maximum profit. According to the analysis, it is found that the profit from supply chain cooperation between coal and power enterprises is more than that of non- cooperation. The cooperation is validated to be beneficial for both units; however, the profit is mainly taken by the power enterprise. Thus, it is necessary to set up the incentive mechanism to distribute cooperation value between coal and power enterprises to promote their continual cooperation.

RankXGB-Based Enterprise Credit Scoring by Electricity Consumption in Edge Computing Environment

With the rapid development of the internet of things(IoT),electricity consumption data can be captured and recorded in the IoT cloud center.This provides a credible data source for enterprise credit scoring,which is one of the most vital elements during the financial decision-making process.Accordingly,this paper proposes to use deep learning to train an enterprise credit scoring model by inputting the electricity consumption data.Instead of predicting the credit rating,our method can generate an absolute credit score by a novel deep ranking model–ranking extreme gradient boosting net(rankXGB).To boost the performance,the rankXGB model combines several weak ranking models into a strong model.Due to the high computational cost and the vast amounts of data,we design an edge computing framework to reduce the latency of enterprise credit evaluation.Specially,we design a two-stage deep learning task architecture,including a cloud-based weak credit ranking and an edge-based credit score calculation.In the first stage,we send the electricity consumption data of the evaluated enterprise to the computing cloud server,where multiple weak-ranking networks are executed in parallel to produce multiple weak-ranking results.In the second stage,the edge device fuses multiple ranking results generated in the cloud server to produce a more reliable ranking result,which is used to calculate an absolute credit score by score normalization.The experiments demonstrate that our method can achieve accurate enterprise credit evaluation quickly.

Forecasting Orders with ARMA in Household Electric Appliance Enterprises Based on Mobile Agent

Forecasting orders accurately plays a crucial role for household electric appliance (HEA) enterprises keeping low inventory level. In order to reduce the influence of bullwhip effect, sales data are applied to forecast orders of the next period instead of ordering data. Mobile agent is applied to achieve the sales data from retailers in the data preparation. And the converting approach from sales data of retailers to prediction data is proposed. Autoregressive and moving average (ARMA) model is introduced to forecast orders and a comparison amongst final prediction error (FPE), Akaike information criterion(AIC), Bayes information criterion(BIC) and Akaike's corrected information criterion(AICC) criterion is shown. The sample test verifies the superiority of AICC; therefore it is applied to identify ARMA order. Forecasting architecture is established and then the prototype system is tested, at last a case shows the orders prediction of the next quarter and verifies the effectiveness of the proposed method.

Information Resources Integration for Electric Power Enterprises

Information resources integration for enterprises at present is fairly hot in the course of information construction, as well as difficult. To achieve this goal, different developers adopt different technical means and their implementation results are also diversified for various reasons. Hereunder, the article, taking the information construction and resources integration activities by Electric Power of Henan (EPH) as an example, deploys a deep analysis and discussion on necessity and essential factors and how to ensure high effect in the process of information integration.

Meeting the Market Challenge China's Enterprises of Household Electrical Appliances

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The Opportunities and Cooperation for Electric Power Enterprises on the New Silk Road Economic Belt

New Silk Road Economic Belt has an important strategic significance for European and Asian economic integration, which is a concept that formed on the ancient Silk Road and is about of contemporary economic and trade cooperation. The focus of New Silk Road Economic Belt integration strategy implementation is the energy integration. The key areas in energy development are electricity, oil and gas. This article analyzes the opportunities and challenges for the power equipment manufacturing enterprises, power generation enterprises and electric grid enterprises on the New Silk Road Economic Belt. This article also emphasizes the importance of seizing the development opportunities and strengthening the international power cooperation.

Optimization of Chinese power enterprises R&D staff incentive mechanism

With the deepening of electric power market reform in China,the monopoly edge of the state-owned electric power enterprises will lose.On the basis of the existing post performance salary mechanism,Chinese power enterprises need to optimize the incentive mechanism of R&D staff,to arouse the R&D staff's enthusiasm and creativity,to adapt to the new market competition and further improve market value.Whilst the incentive mechanism optimizing processing needs to consider not only the changing market environment but also the personal and working characteristics of R&D staff.This paper summarizes the characteristics of the current Chinese power enterprises' R&D staff:staff's theory quality is high,but insensitive to the market;they are confronted with heavy workload and diversified job choices;managers can observe their behavior choices or not;besides,the process of R&D is complex and the market reactions of R&D achievements are uncertain.Based on the premise of the above features,two incentive models are established in this paper from the point of view of enterprise managers.One is for the situation when staff's behavior choices can be observed;the other is for the situation when staff's behavior choices cannot be observed.Through solving the model,we analyze the optimization path of electric power enterprises R&D staff incentive mechanism under these conditions:(1) when staff's behavior choices can be observed,managers can pay more to the R&D staff who develop products with higher output value,in order to encourage them to work harder.(2) when staff's behavior choices cannot be observed,managers should take reasonable strategies according to the different situations:a.when R&D staff incentive totally depend on the market value of the R&D achievements,managers should allocate workload rationally according to their different technical levels;b.when the market reactions of R&D results become more precarious,managers need to reduce the incentive intensity which based on the market value and raise their fixed salary level;c.when R&D staff become more risk averse,managers should reduce the incentive intensity which based on the market value and raise their fixed salary level;on the contrary,managers should improve the incentive intensity and reduce the fixed salary level.

Application of Intelligent Power Consumption Management and Control Technology in Enterprise Off-site Enforcement

Regarding the current difficulties in SME(small and medium enterprise)supervision,especially considering the problem that the emission reduction task cannot be effectively implemented under the off-site daily supervision and the new normal of epidemic prevention with control of heavily polluted weather,a new type of intelligent power management technology has been proposed.Power information collection equipment and intelligent data collection and transmission terminal are installed to collect power consumption information of enterprise production facilities and pollution control facilities,and their operating conditions are monitored in 24 h.Abnormal operation alarm and closed-loop disposal management are provided through the software platform.The practical application of power monitoring technology in Rizhao City proves that the system alarms accurately and monitors efficiently.On the one hand,it has improved the efficiency of daily supervision of the ecological environment department,and can accurately investigate and correct corporate pollution control violations.On the other hand,it has enriched environmental supervision methods to accurately control the implementation of emergency emission reduction measures.The application of this technology has realized the transformation from civil defense to technical defense,from random law enforcement to precise law enforcement,and from on-site law enforcement to off-site law enforcement in the supervision of polluting enterprises in the jurisdiction,creating a new mode of off-site law enforcement for enterprises.

Common Information Model： A Bus Service for Electric Calculations in AES Eletropaulo

This paper resumes a research project developed in the concession area of AES Eletropaulo, the largest electrical energy distribution company in Brazil. First, the global standards of information exchange within power transmission and distribution area were evaluated, allowing the definition of state of the art on the theme, followed by determining its applications considering technologies already applied by the company. The specifications needed for the generation of a data integration model are adapted to radial overhead network at company concession area. The project developed an intermediary connectivity layer, based on the CIM （common information model）, which enables corporative systems to communicate in a standard way, through the use of integrating technologies. It, therefore, enabled modeling all main subjects of an electrical network in an open, extensible and non-proprietary way, in a model that contains classes and attributes of such subjects, as well as their relationships. Calculation and planning products adopted by the company were integrated to the technological layer implemented.

基于改进ELECTRE-IN的小微企业信用评估

基于小微企业有效评价信息匮乏的难题,以非财务指标为重点,纳入水电费等大数据下体现企业违约风险的因素,构建了小微企业信用评价指标体系。引用ELECTRE-IN消除ELECTRE-Ⅲ中由偏好指数产生的放大效应,完善级别高于关系的构造过程。针对ELECTRE-IN主观性强及排序复杂的问题,首先利用BWM-GiNi组合赋权法确定评价指标的综合权重,并根据样本数据极差确定阈值组合,增强其客观性。其次引用可信度法替代蒸馏算法,简化排序过程。最后利用算例对一批小微企业进行排序,算例结果验证了模型的有效性。

R-ELECTRE方法及其在工业企业技术创新能力测度中的应用

针对工业企业技术创新能力测度问题,分析现有工业企业技术创新能力测度方法的优缺点;在传统ELECTRE方法和模糊测度等理论的基础上构建基于关联的ELECTRE(R-ELECTRE)方法,并将R-ELECTRE方法应用到国防科技工业企业技术创新能力测度中以验证R-ELECTRE方法的有效性和合理性。

A Number of Aluminum Enterprises Increase or Restore Production Thanks to Guangxi's Electricity Reform

According to a Guangxi Daily report on February 26,enterprises in Guangxi cut their electricity costs by RMB 24.40 million in the first half of 2017 at a price RMB 0.027 lower per kilowatt hour for directly-purchased electricity and cut their electricity costs by more than RMB 47.60 million in the second half of 2017 at a price RMB 0.133 lower

电炉炼钢企业国有资产管理体制的模式选择

鉴于电炉炼钢企业国有资产意义重大,必须分析其管理体制模式选择问题。将传统国有资产管理体制存在问题划分为理论认识层面、操作层面和管理体制层面问题,提出一种新的管理体制模式选择方法。集中式管理和统一运营原则;市场取向原则;政策配套和协调并行原则;勇于创新和积极稳妥原则。结合经典管理模式、传统管理模式存在的问题和相关原则,提出电炉炼钢企业国有资产管理体制模式选择合理化建议:构建专门机构监管资产,实现公平配置;依据清产核资和资产真实状况,集中管理产权,剥离所有权和管理权及使用权,避免资产流失;整合资源,挖掘资产潜在价值,减少资产浪费,并降低管理成本;加大行政单位对国有资产监管力度;加强资产信息化管理;将暗箱操作转换为阳光作业,引入市场机制;将沉淀资产转换为活化资产,扩展融资渠道;将虚位监管转换成制度监控。通过上述研究,力求为电炉炼钢企业国有资产管理提供理论支撑。

国有大型油气企业新能源发电项目经济评价探讨

国有大型油气企业基于减排降碳和可持续健康发展考量,积极探索新能源发电业务,投资项目经济评价方法和参数,成为影响新能源发电业务投资决策和高质量发展的决定性因素。基于经济评价基本原理,根据新能源发电项目技术经济特征,构建新能源发电项目经济评价方法和参数体系。折现现金流法仍然是新能源发电项目经济评价的主要方法,内部收益率和平准化度电成本是衡量项目盈利能力的重要指标。不同类型新能源发电项目经济评价方法具有较高的一致性,但应在投资构成、成本费用估算、收入与税金估算等方面体现差异,重点在营业收入估算中体现项目真正价值。在规制性配置储能要求以及储能收益政策有待落实的情况下,新能源发电项目效益有待提高,建议现阶段适当降低投资回报要求,尤其是出于市场拓展和协同发展目的的战略性新能源发电项目。项目电价和有效利用小时数对新能源发电项目的影响至关重要,应视情况合理选取参数。风光气电融合项目应分业务估算成本。国有大型油气企业应积极开展宏观配套政策和商业模式创新研究,以支撑新能源发电业务的高质量发展。

基于数据挖掘的电炉企业财务数据分类管理系统设计

为提升电炉企业财务数据处理效率、提高财务数据分类管理效果,本文研究提出并设计出了一种基于数据挖掘的财务数据分类管理系统。设计系统主要在传统硬件的基础上,优化系统功能模块,其主要包括财务数据管理模块、网络管理模块等。在财务数据管理模块中,本次采用数据挖掘方法确定属性相似的财务数据,并借助Hadoop架构对电炉企业财务数据进行管理;在系统网络管理模块中,通过光纤/DDN传输中实现系统通信网络拓扑的搭建,并在TCP/IP等通信协议的支持下,完成网络管理模块的设计。通过优化各个功能模块,完成电炉企业财务数据分类管理系统设计,实现电炉企业财务数据分类管理功能。实验结果表明:所提系统响应速度快,CPU占有率低,分类管理准确度高于93%,用户反馈满意率高于80%,均优于对比方法,具有较大的应用价值。

电力企业建设施工环境合规问题研究——以电力企业中的光伏产业为切入点

随着国家对生态环境的重视,光伏能源作为清洁、可再生资源取得了极大发展。但电力企业在光伏施工建设中存在诸多破坏生态环境的问题。光伏企业上游电池板生产过程缺少防护措施,忽视生产污染;光伏企业建设施工全过程未进行合理环评,忽视建设施工带来的环境污染;光伏设备寿命到期后回收机制不健全,导致污染扩散;发展过速导致光伏企业准入资质不统一,生产条件未达标的企业准入使生态受到破坏。为解决上述问题,应以合规建设为契机,构筑一种长效的电力企业环境合规机制。首先在政策层面,通过对企业进行严格的行业准入条件限制和技术升级,从而减少环境污染的可能性;其次,在企业内部建立职业化环境合规监管人员制度,从而对企业的日常经营进行监管,防止出现环境污染风险;最后,通过对企业赋加环境污染责任,以环境污染保证金和全过程建设生产环评制度对企业进行合规监管,从而改良减少生态污染,为构建人与自然生命共同体贡献力量。

建立在波特菱形理论上的中国电炉企业对外贸易竞争优势分析

当涉及国家的贸易发展水平时,贸易竞争优势被认为在一定程度上起着决定性的作用。然而,目前关于国家贸易竞争优势的分析研究存在着不完善的问题。为此,本研究利用波特菱形理论对中国电炉企业对外贸易竞争优势展开深入分析。在探讨波特菱形理论的基础上,从生产要素、需求条件、相关产业配套和企业发展战略等方面研究中国电炉企业对外贸易竞争力。再对波特菱形理论和竞争力分析结果进行充分利用,从贸易机会、产业结构等方面进行详细分析,以判断中国电炉企业对外贸易活动所具有的竞争优势。通过综合考量,以深入了解中国电炉企业在全球贸易竞争中的地位和潜力,实现全面评估中国电炉企业在国际市场中的竞争优势的目标,以为其未来的发展提供战略指导。