Technological Innovation Efficiency Evaluation of Equipment Manufacturing Industry--An Empirical Study of Shandong Province in China

Based on the statistical data of eight sub-sectors of equipment manufacturing industry in Shandong province from 2012-2016,DEA and Malmquist index were used to give the static and dynamic evaluation of technological innovation efficiency.The results show that the overall technological innovation efficiency of Shandong equipment manufacturing industry is higher due to the high pure technical efficiency and scale efficiency.As the technical regress and inefficient allocation of resources deepened,the total factor productivity of Shandong equipment manufacturing industry presents a dropped tendency.According to the innovation efficiency and its changes,different industries should adopt the specific development strategies.

Assessing China’s regional efficiency of energy-saving and emission reduction using the target orientation approach of extended DDF model

Based on the target of energy-saving and emission reduction(ESER)in the national five-year plan in China,an extended directional distance function model(E-DDF)including undesirable input and undesirable output is proposed,and energy-saving efficiency,emission reduction efficiency,ESER efficiency are defined.Then the weighted directional distance function model is constructed for the total factors efficiency index model of ESER to reflect its dynamic change.The results show that the ESER efficiency continues to rise during the three five-year plan periods(2006-2017),and the efficiency score of the east area are higher than those of central and west area.The disparity and change of energy-saving efficiency among difference regions are not obvious,but the disparity and change of emission reduction efficiency are the main reasons for the improvement and change of ESER efficiency index.In the long run,the ESER efficiency is in a dynamic upward trend,and the effect of technological progress is more obvious compared with technical efficient index.

Research on Storage Capacity of Compressed Air Pumped Hydro Energy Storage Equipment

Compressed air pumped hydro energy storage equipment combines compressed air energy storage technology and pumped storage technology. The water is pumped to a vessel to compress air for energy storage, and the compressed air expanses pushing water to drive the hydro turbine for power generation. The novel storage equipment saves natural gas resources, reduces carbon emission, and improves the controllability and reliability. The principle of compressed air pumped hydro energy storage is introduced and its mathematical model is built. The storage and generation process of the novel equipment is analyzed using the model. The calculation formula of the storage power is deduced in theory in different situations of isothermal and adiabatic compression. The optimal storage scheme is given when the capacity and withstand pressure of the vessel is definitive, and the max available capacity and the equipment utilization efficiency evaluation of the scheme is given.

A review of intelligent ore sorting technology and equipment development

Under the background of increasingly scarce ore worldwide and increasingly fierce market competition,developing the mining industry could be strongly restricted.Intelligent ore sorting equipment not only improves ore use and enhances the economic benefits of enterprises but also increases the ore grade and lessens the grinding cost and tailings production.However,long-term research on intelligent ore sorting equipment found that the factors affecting sorting efficiency mainly include ore information identification technology,equipment sorting actuator,and information processing algorithm.The high precision,strong anti-interference capability,and high speed of these factors guarantee the separation efficiency of intelligent ore sorting equipment.Color ore sorter,X-ray ore transmission sorter,dual-energy X-ray transmission ore sorter,X-ray fluorescence ore sorter,and near-infrared ore sorter have been successfully developed in accordance with the different characteristics of minerals while ensuring the accuracy of equipment sorting and improving the equipment sorting efficiency.With the continuous improvement of mine automation level,the application of online element rapid analysis technology with high speed,high precision,and strong anti-interference capability in intelligent ore sorting equipment will become an inevitable trend of equipment development in the future.Laser-induced breakdown spectroscopy,transientγneutron activation analysis,online Fourier transform infrared spectroscopy,and nuclear magnetic resonance techniques will promote the development of ore sorting equipment.In addition,the improvement and joint application of additional high-speed and high-precision operation algorithms(such as peak area,principal component analysis,artificial neural network,partial least squares,and Monte Carlo library least squares methods)are an essential part of the development of intelligent ore sorting equipment in the future.

Simulation and animation model to boost mining efficiency and enviro-friendly in multi-pit operations

A discrete-event system simulation and animation program was developed to enhance the efficiency of a truck-excavator operation and reduce the environmental impact of haulage in an open-cut coal mine with multiple-pit operations. In any mine, a key objective is to have sufficient equipment for production and not to have excess to where it becomes counterproductive. Due to the advent of responsible mining,environmental regulations, and eco-friendly practices, these factors must also be considered in the analysis. Simulation studies can be financially advantageous for both the optimization of existing mine operations and new development phases in a mine. This study is a new approach to use discrete-event system simulation for mine systems, in order to investigate and possibly reduce environmental impact considering mining haulage performance and production target. A hypothetical layout of a surface coal mine with two pit operations was used for the simulation and animation model. The simulation model includes the animation of the operation. Animation is helpful to enhance the benefit of a mine simulation model. GPSS/Hòand Proof Professionalòwere the software used for the investigation.

The Efficiency of the Energy Saving Stoves in Amboseli Ecosystem-Analysis of Time, Energy and Carbon Emissions Savings

It is estimated that more than 2.5 billion people worldwide use biomass for cooking. Burning biomass is one of the major contributors to carbon dioxide (CO2) emission—a principle gas in global warming and climate change. One way of cutting down the CO2 emissions is adaptation of efficient and clean energy technologies. This study examined the efficiency of the energy saving stoves in Amboseli ecosystem by comparing the cooking time, energy use, wood fuel and carbon emissions to the traditional three stone open fire set ups. The result indicates a statistical difference in the time spent cooking on energy stoves and three stone open fire (t = 5.3055;n = 60;p = 0.00117). Energy saving stoves saved 12.7% - 33.3% of wood fuel compared to the traditional three stones set ups. Water boiling tests to determine the energy savings, revealed that energy saving stoves saved between 25.74% and 26.16% energy/joule per session in-house and outdoor settings respectively. Based on the two meals prepared per day by each household, the total Carbon Emission Savings for the 1000 local beneficiaries of energy saving stoves varied from 102,200 kg CO2 (indoor cooking) to 357,700 kg CO2 (outdoor cooking) per year. It is therefore concluded that energy saving stoves saves time, fuel wood and energy, and reduces carbon emissions. The study findings refute the claims that open fire when carefully operated can be fuel efficient and clean burning to rival energy saving stoves. To improve the performance of the energy saving stoves, it is recommended that a design modification be done to include a chimney to emit excess smoke during indoor cooking;and the stove should be fixed to the floor with mortar to minimise heat loss and breakages.

New Developments in Water Efficiency

An overview of significant new developments in water efficiency is presented in this paper. The areas covered will be legislative, regulatory, new programs or program wrinkles, new products, and new studies on the effectiveness of conservation programs. Examples include state and local level efficiency regulations in Texas; the final results of the national submetering study for apartments in the US; the US effort to adopt the IWA protocols for leak detection; new water efficient commercial products such as ET irrigation controllers, new models of efficient clothes washers, and innovative toilet designs.

电机设备三维隔震试验研究

针对核电设备设计研制了三维隔震支座,以核电设备常用的电机为例,对其三维隔震性能开展了振动台试验研究,获得了电机设备典型部位的隔震动力响应,通过对比振动台台面数据与设备测点位置的数据来验证隔震支座的隔震效果。结果表明:随着输入地震动峰值增大,隔震支座的隔震效率差别微小,隔震效果比较稳定,说明隔震支座对电机设备起到了良好的隔震作用。

五措并举提升大型仪器设备共享成效的探索

大型仪器设备是高校提高教学科研水平和人才培养质量的重要条件,是反映学校的综合实力和办学水平的重要指标。随着高等教育的发展,高校大型仪器设备的类型和数量在不断增加,由此也带来了重复购置、利用率低等问题。通过加大大型仪器设备信息化共享、加强大型仪器设备人员队伍建设、建立健全大型仪器设备共享机制、探索大型仪器全成本核算管理、强化大型仪器设备制度集成创新,形成以内循环为主、区域化为辅的共享模式,全面提升大型仪器设备共享实效。

神东煤矿机电设备大型部件安全库存分析

为探讨煤矿机电设备大型部件安全库存的必要性以及对煤企安全生产的影响,通过调研国能神东机电设备大型部件库存的现状,给出了保障国能神东煤矿机电设备大型部件安全库存的具体措施。分析认为,开展机电设备大型部件库存统计对实现国能神东在管理上的提质降本增效有重要的作用,且在实践中应建立一套符合神东模式的机电设备大型部件安全库存储备标准,有助于为设备管理提供科学精准的参考。

能量再生型电液混合驱动系统参数特性研究

重型装备回转运动负载惯量大、周期性频繁启停、能耗巨大,制动能一般都以热能形式耗散,能量再生利用一直没有很好的解决方案。提出了一种新型能量再生型电液混合驱动系统并定义了系统3种工作模式,以重型装备中可逆轧机为例,研究了所提系统的特性。以电动机能耗及输出峰值功率作为评价指标,研究关键元件参数对系统驱动特性的影响规律,通过AMESim建立了纯电动驱动与电液混合驱动仿真模型。结果表明:液压泵/马达排量对制动时间、电动机峰值功率及电动机能耗影响最大;最优参数下,所提电液混合驱动系统较原电动机驱动可降低电动机峰值功率45.75%,能耗可降低48.33%,启动时间缩短44.54%,制动时间缩短1.21%。

标准化系统工程提升航空装备企业效能研究

为圆满完成国家高端装备制造业标准化试点任务、提升航空装备企业效能,实施了标准化系统工程。本研究对标准化试点进行系统工程建模,设计和实现标准化系统,并在全过程中实施系统分析和控制。通过技术审查和实践确认,标准化系统能够提升企业标准化水平和效能、辐射周边产业集群。

船舶机械设备故障类型及维修策略

该文对船舶机械设备中液压设备和船用泵的故障类型进行特征和成因分析,然后有针对性地提出解决对策,有利于降低故障的发生频率,延长机械设备的使用寿命,提升船舶运行的安全性。从维修策略的视角出发,根据机械设备的实际运行状态和性能参数的变化趋势来制定维修决策和维修方法,可避免维修过剩和维修不足带来的弊端,合理调度各项资源,快速定位故障点,提高维修效率。

基于BIM与物联网技术的建筑设备节能管理研究

文章首先分析了BIM和物联网技术在建筑设备节能管理中的优势,然后提出了基于BIM与物联网技术的建筑设备节能管理方法,具体阐述了系统框架、功能和实施步骤,以期为建筑领域的能源管理提供新的思路。

信息化背景与研究型审计视角下改善高校设备资产使用效率路径分析

针对省属高校大型设备资产管理制度及机制标准化规范化中存在的问题,基于57所省属高校设备资产审计的数据,在二十大报告精神指导下,以标准化视角,问题导向,系统思维,分析指出产生高校大型专用设备资产使用效率低下问题的深层次原因,通过标准化与信息化视角,为高校和相关上级政府部门提供进一步提升高校大型专项设备资产的使用效率的对策以及运用信息技术,建立新型高校大型设备资产管理模式建议。

纺织空调绿色生产技术途径

探讨纺织空调实现绿色生产的途径和方法。针对纺织空调运行能耗高、耗水量大的问题,以创建绿色工厂为目标,从提高设备能效、优化空调热湿处理方法、加强运行调试与能源管理等方面提出具体要求和措施,并提出了细纱车间热分流、热回收、送回风系统低能耗运行的方法。认为:做好纺织空调节能降耗工作有助于实现纺织车间绿色生产。

武汉光谷大悦城高效制冷机房设计总结与探讨

从负荷计算、冷源设备配置、输配系统、控制策略等方面介绍了武汉光谷大悦城购物中心高效制冷机房的设计。该项目采用一级泵变流量系统,制冷机房全年平均设计能效比为5.2,制冷机房运行能效比达到5.54。对高效制冷机房能效比进一步提升的路径和手段进行了总结与探讨。

基于MES的印刷车间设备效率控制技术研究

针对印刷企业而言,提出一种结合OEE的设备效率评价体系,实现对车间设备运行状态的实时、具体的反映。论文通过以MES为主要技术手段将大量纸质信息转化为数据实现印刷车间数据采集与设备分析功能,进行精准管理,利用OEE作为评价指标,应用于某公司车间印刷机组,精确反应设备运行情况的问题和影响因素,加快信息的处理和反馈速度,优化生产工序来达到控制成本的目的,提升印刷机设备效率,使人为管控通过信息系统自动化控制更加精准简便。

基于云模型与改进证据理论的手术室设备管理效率评价

目的:构建手术室设备云模型与改进证据理论管理模式,提升手术室设备管理效率。方法:构建手术室设备使用效率评价指标体系,采用基于云模型与改进证据理论优选方法对手术室设备进行评估管理。选取2022年10月至2023年10月黄山首康医院手术室在用的40台手术室仪器设备,按照管理模式不同分别采用常规管理模式和云模型与改进证据理论管理模式(简称改进证据模式)进行管理,每种模式20台。对比两种管理模式的设备管理及时性、设备管理缺陷率和设备成本效益增幅的差异。结果:采用改进证据模式的手术室设备故障预警时长、工程师维修时长和设备信息推送时长分别为(2.36±0.11)s、(4.25±1.25)d和(0.89±0.11)min,均少于常规管理模式,差异有统计学意义(t=12.439、9.209、8.686,P<0.05)。采用改进证据模式的手术室设备分装错误、设备损坏和设备维修比率分别为5%(1/20)、5%(1/20)和10%(2/20),均低于常规管理模式,差异有统计学意义(χ^(2)=7.025、8.533、7.619,P<0.05)。采用改进证据模式的手术室设备运行收益、保障费用、诊治收费和科研费用增幅分别为(3.36±0.35)%、(4.25±0.87)%、(4.25±0.56)%和(4.11±0.56)%,均高于常规管理模式,差异有统计学意义(t=10.759、8.906、10.301、12.361,P<0.05)。结论:云模型与改进证据理论管理模式在医院手术室设备管理中应用,能够实现手术室设备的集中维护和管理,提高手术室设备管理效率,提升设备应用成本效益,降低设备使用风险。

基于设备状态信息的电网设备运行效率评估模型

为提升电网设备运行效率评估的精准性及效率,设计基于设备状态信息的电网设备运行效率评估模型,以电网设备状态的描述、应用与测试量关系作为评估标准,依靠核心包、域包、记录包、电网设备包,组建电网设备状态信息模型,同时收集设备历史状态记录,构建状态信息数据库,利用数据包络算法进行电网设备权重相对效率评估,同时使用随机前线分析法确定设备产出情况,利用回归分析方法,调节和修正各种随机和外界环境因素,实现对电力系统设备的操作效率的精确评价。实验证明,所提方法评估结果准确,评估效率较好。