Analysis and Design of University Teaching Equipment Management Information System

Teaching equipment management is an important factor for colleges and universities to improve their teaching level,and its management level directly affects the service life and efficiency of teaching equipment.But in recent years,our university recruitment of students scale is increasing year by year,the size of the corresponding teaching equipment is also growing,therefore to develop a teaching equipment management information system is necessary,not only can help universities to effective use of the existing teaching resources,also can update scrap equipment,related equipment maintenance,and build a good learning environment to students and to the improvement of the teaching quality of colleges and universities play a reliable safeguard role.This paper first introduces some common development tools,and then analyzes the user functional requirements and data requirements of the system,and analyzes the feasibility of the system development from many aspects,finally based on B/S mode,using Java language,JSP technology and MySQL database design and implementation of a teaching equipment management information system.The main functional modules of the system include equipment basic information management,equipment loan and return information management,equipment maintenance information management,equipment scrap information management,the interface of each functional module is shown in the paper.

Influences of Contextual,Cultural Factors and Stakeholders on System Design and Management Analysis in Organizations

Many businesses and organizations can operate in fast changing environments,which meets the high market demands and stakeholder needs.These successful organizations can adapt to everyday changes in the business climate,based on organizational effectiveness,performance,and good strategic planning.Organizations that have failed have done so because of a lack of a good system design in place.Organizational factors such as the changing business climate,labor trends,diminishing stakeholder interests,and lack of organizational value creation to improving current structures to meet the needs are some examples of why organizations may fail.“System is defined as a set of elements arranged in an orderly manner to accomplish an objective.System,is not a randomly arranged set.It is arranged with some logic governed by rules,regulations,principles,and policies.Such an arrangement is also influenced by the objective the system desires to achieve.Systems are created to solve problems”(Deepak,2011,para.1).This paper examines the contextual and cultural factors and stakeholders on systems design and management in organizations by exploring the different major stakeholder group interests that shape the design that is appropriate for a management system.

Application of Internet of Things in Urban Waterlogging Prevention Management System

This paper aims to realize the extensive application of Internet of things technology in urban waterlogging prevention management system, and has analyzed the security requirement and security architecture of Internet of things technology, and discussed the demand of urban waterlogging prevention management system in combination with the key technology of Internet of things technology, to do the overall design and functional design well during designing of urban waterlogging prevention management system. Finally, the application process of the Internet of things technology in Chongqing waterlogging prevention management system is summarized. The application result shows that the flood control and drainage function of Chongqing is gradually improved with smooth drainage facilities;the inspection and maintenance management is gradually standardized;operation monitoring and early warning management is fully strengthened. There is visual management for emergency command and dispatch, and at the same time, the drainage pipe network assessment management can be conducted correctly.

IoT-Enabled Autonomous System Collaboration for Disaster-Area Management

Timely investigating post-disaster situations to locate survivors and secure hazardous sources is critical,but also very challenging and risky.Despite first responders putting their lives at risk in saving others,human-physical limits cause delays in response time,resulting in fatality and property damage.In this paper,we proposed and implemented a framework intended for creating collaboration between heterogeneous unmanned vehicles and first responders to make search and rescue operations safer and faster.The framework consists of unmanned aerial vehicles(UAVs),unmanned ground vehicles(UGVs),a cloud-based remote control station(RCS).A light-weight message queuing telemetry transport(MQTT)based communication is adopted for facilitating collaboration between autonomous systems.To effectively work under unfavorable disaster conditions,antenna tracker is developed as a tool to extend network coverage to distant areas,and mobile charging points for the UAVs are also implemented.The proposed framework’s performance is evaluated in terms of end-to-end delay and analyzed using architectural analysis and design language(AADL).Experimental measurements and simulation results show that the adopted communication protocol performs more efficiently than other conventional communication protocols,and the implemented UAV control mechanisms are functioning properly.Several scenarios are implemented to validate the overall effectiveness of the proposed framework and demonstrate possible use cases.

Optimal Selection Model of Equipment Design Scheme Based on Set Pair Analysis

Selecting the optimal one from similar schemes is a paramount work in equipment design.In consideration of similarity of schemes and repetition of characteristic indices,the theory of set pair analysis(SPA)is proposed,and then an optimal selection model is established.In order to improve the accuracy and flexibility,the model is modified by the contribution degree.At last,this model has been validated by an example,and the result demonstrates the method is feasible and valuable for practical usage.

Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.

Analysis and Design of Quality Management Platform for the Entire Process of Characteristic Software Talent Training

At the end of 2021 to create a new model of characteristic software talent training for independent and controllable key software fields,the Ministry of Education and the Ministry of Industry and Information Technology jointly approved the establishment of the first batch of 33 Characteristic Pilot Schools of software.As a member of characteristic software schools,the HIT School of Software has been approved and will focus on the construction of 2 characteristic directions,which are large-scale industrial software and industrial professional application software.In order to achieve the goal,it is urgent to develop a comprehensive management platform to control the entire process of talent training,so that we can standardize,modelling,and digitized the entire process of characteristic software talent training.By relating all aspects of student training with and implementing the ability-index mechanisms,we will continuously collect big-data of the entire process of student growth,and generate multidimensional student ability portraits for evaluating the effect of talent training,and adjust as well as optimizing the growth path for students themselves during their studying.Employers will be able to identify talents accurately and provide effective reference for colleges to adjust training plans.This paper will analyze the needs of the platform,provide demand analysis of the platform,extract the correlation model between training,conclude the relations between ability-index activities and ability indicators,and give a reasonable overall system design scheme.

On Syllabus Design for the Specialty of Electromechanical Equipment Maintenance and Management in Vocational College

We carried out researches on the syllabus design for the specialty of electromechanical equipment maintenance & management in vocational college. Our researches involve the following aspects: (1) The training objective of the specialty; (2) the curriculum system; (3) The teaching methodology; and (4) Field training.

Deploying a Deep Learning-based Application for an Efficient Ther­mal Energy Storage Air-Conditioning(TES-AC)System:Design Guidelines

Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be charged at peak hours.Besides,maintenance of TES-AC at a large scale gets complex as it contains many sensor data.By utilizing deep learning techniques on the sensor data,charging load prediction can be made possible,so facility managers can prepare in advance.However,a deep learning-based application will be unusable if it is not deployed in a user-friendly manner where facility managers can benefit from this application.Hence,this research focuses on gathering design guidelines for a deep learning-based application and further validates the design considerations with a developed application for efficient human-computer interaction through qualitative analysis.The approach taken to gather design guidelines demonstrated a positive correlation between expert-suggested features and the user-friendly aspect of the application as 67.08%of participants found the features suggested by experts to be most satisfactory.Furthermore,it evaluates user satisfaction with the advanced developed application for TES-AC according to the gathered design guidelines.

Study on Plant Management Information System Based on Intranet for HongHe Cigarette Factory

Accompanying with the development of computer technology and network technology, enterprises have built their Intranet. This paper is dealing with how to construct the plant management information system based on Intranet, and lays emphasis on the subsystem division using structural system analysis and design method.

Failure Mode Effects and Criticality Analysis Method of Armored Equipment Based on Testability Growth

In view of the low level testability of armored equipment,the important significance of armored equipment testability growth is discussed in this paper.The failure mode effects and criticality analysis( FMECA) method to realize testability growth is introduced.Centering on the testability growth demands of new armored equipment,the deficiencies of traditional FMECA are analyzed.And an enhanced FMECA( EFMECA) method is proposed.The method increases the analysis contents,combines the information before the failure occurrence and impending failure modes together organically.Then the failure symptoms is analyzed,the failure modes and effects is determined,and the state development trend is predicted.Finally,the application of EFMECA method is illustrated by the example of the failure mode of typical armored equipment engine.

Development and Application of DC Partial Discharge Test System

Direct current (DC) partial discharge (PD) test has drawn extensive attention from world-wide electric power research institutes in recent years. However, presently, no DC PD detection device on the market has the statistical function. Thus, we developed a test system for PD detection under DC voltage, which is characterized by strong anti-jamming capability, continuous high-speed real-time data acquisi- tion and effective, complete detection of DC PD signals. The DC PD mechanism, as well as the measuring principles, software system, and hardware design of the test equipment were introduced. Adopting typical electrode pairs, we tested the statistical spectrum of PD under DC voltage. The main difference in statistical spectrums between parallel plate electrodes and needle-plate electrodes was that the time interval between two consecutive discharges for needle-plate electrodes has obviously larger variation range than that for parallel plate electrodes, which could be the convincing proof for distinguishing the type of electrodes under DC PD. Practical results indicate that the proposed sys- tem can measure time domain signals of DC PD of oil-paper insulation effectively and promptly, and it can be used to determine and detect defects in DC power transmission equipment.

Design and Analysis of Computer Experiments Based on a Simulation Model of Air Traffic Flow Optimization in Panama

There is a growing in number of operations in aviation all over the world.This growing is increasing the necessity of innovation and new technology to respond the increment of the demand.As a respond of this demand,FAA(Federal Aviation Administration)is working with NextGen in the United States and the EUROCONTROL is implementing the Point Merge as solution in the air traffic flow management in Europe.However,the FAA alternative and EUROCONTROL alternative are not mutually exclusive since Panama,a small country in Latin America,is trying to use a combination between the vectoring approach and the Point Merge in the air traffic flow management.In addition,the AAC(Autoridad de Aereonautica Civil)and the Tocumen(Tocumen International Airport)are working in a continuous collaboration between FAA and Panama with the mutual challenge to improve the actual system.As a result,the main airline of Panama,the Compania Panamena de Aviacion(COPA Airlines),and the Autoridad de Aeronautica Civil(AAC)constructed a simulation model to select an air traffic flow alternative that can be able to change the actual situation.In other words,COPA Airlines and AAC are pursuing the minimization of the numbers of conflicts,the number of sequence actions,the flight time,the track flight distance and the fuel burn.Furthermore,this study aims to use the final draft of this previous analysis based on a simulation methodology to conduct a Design and Analysis of Computer Experiments with the final objective to increment the statistical significance of the actual model.

Characteristic Period Value of the Seismic Design Response Spectrum of UHV Electrical Equipment

Characteristic period is an important parameter of the seismic design response spectrum.There is important theoretical significance and engineering application value to the study of the characteristic period of seismic design response spectrum of ultra high voltage(UHV)electrical equipment.In this paper,1448 horizontal earthquake records within the world scope including the United States and Japan for Site Class Ⅲ were analyzed.Results show that both magnitude and epicentral distance have great influence on the characteristic period.About80% of characteristic periods of strong earthquake records are about 0.9s.Statistical analysis was conducted on the seismic hazard assessment results of 312 projects of China in recent years,and it is found that about 70% of characteristic periods are about 0.9s.Combined with the related code comparison and analysis,it is suggested that the characteristic period of the seismic design response spectrum of UHV electrical equipment should select 0.9s in order to effectively guarantee the seismic safety of UHV electrical equipment.

基于区块链技术的医疗设备采购管理系统的设计与实现

目的针对传统采购资料易丢失和被篡改,无法保证采购数据安全性的问题,设计一套基于区块链技术的医疗设备采购管理系统。方法系统采用Python编程语言设计,使用Django框架、SQLite数据库,基于区块链技术构建区块链服务器、采购人客户端、采购机构客户端、供应商客户端、监管机构客户端,将整个采购过程中的数据全部进行区块化处理,使得所有数据保存完整,不能被随意窜改,最终实现具有防篡改特性并支持溯源的医疗设备采购管理系统。结果该系统各模块以及防篡改机制均通过测试验证;各模块的平均响应时间均<2 s,响应速度快;模拟网络及身份验证安全测试的结果显示,其安全性能均满足要求。结论将区块链技术应用于医疗设备采购管理系统是可行的方案,其保证了整个采购流程中产生的数据完整可靠并防止被篡改,使得采购信息能够在系统中完整留痕,从而对医疗设备的采购进行全方位管理。

绩效目标分层管理模式在医疗设备采购过程管理中的价值研究

目的:构建绩效目标分层管理模型,探讨其在医疗设备采购过程管理中的应用价值。方法:从医疗设备采购申报层、过程层、使用层和处置层筛选采购绩效评价指标,采用熵权法和数据包络分析(DEA)法制定综合评价模型,形成人员、制度、数据和设备层面的过程管理方案。选取2019—2022年北京佑安医院采购的717台医疗设备,根据绩效目标评价方法不同分别采用传统管理模式(348台)和分层管理模式(369台)管理,对比不同管理模式下医疗设备采购的绩效目标完成度、采购过程管理质量和临床配置管理满意度。结果:采用分层管理模式的369台设备包括手术室设备、实验室设备、住院治疗设备、消毒供应设备及其他医疗设备,其采购的绩效目标完成度分别为(96.10±3.46)%、(96.76±2.65)%、(95.59±2.52)%、(96.06±2.34)%和(96.88±1.75)%,均高于传统管理模式,差异有统计学意义(t=2.663、2.801、2.858、4.111、3.548,P<0.05);采用分层管理模式的医疗设备采购申报层、过程层、使用层和处置层的综合评价DEA有效率分别为96.7%、98.6%、94.6%和99.7%,均高于传统管理模式,差异有统计学意义(χ^(2)=10.983、9.327、7.270、12.309,P<0.05);临床科室使用管理人员对采用分层管理模式的设备采购和使用平均满意度分别为(95.82±2.83)%和(97.25±1.96)%,均高于传统管理模式,差异有统计学意义(t=5.575、5.248,P<0.05)。结论:分层管理模式能够有效落实医疗设备采购绩效目标,提高医疗设备采购过程管理质量,提升采购后配置临床科室使用和管理人员满意度,保障设备运行质量。

轨道打磨电动机监测管理系统设计与实现

打磨电动机是铁路轨道打磨作业的重要设备。但其工作环境较为恶劣,故障率较高。文中从实际需求出发,研究并构建1套轨道打磨电动机监测管理系统,以实现对电动机实时状态进行监测和相关数据的采集。系统针对海量数据的高效采集存储、故障诊断方面进行了深入研究和设计,同时构建友好的用户交互界面。该系统对于推动铁路轨道打磨的实际应用和设备的智能化有一定的促进作用。

论高职院校房产管理系统设计实现

以包头职业技术学院为例,重点分析了房产系统的业务需求,设计系统总体功能模块及数据库表单,明确数据表逻辑关系,提出采用先进的前后端分离的体系架构模式,给出了系统主要功能的现实代码,总结了系统设计的特色。本文将为高职类院校房产管理实现信息化建设提供参考。

月基装备行走运动学分析与连续步态规划

针对缓冲行走功能一体的月面探测器构型设计困难、步态分析复杂等问题,提出了一种基于相同支链构型的四足月基装备(LBE)设计分析方法与连续步态规划方案。设计复合功能着陆腿机构及整机多状态位姿;构建LBE在行走状态下的单腿运动学模型,对其进行正逆运动学求解,分析单腿与整机工作空间和运动性能;对LBE整机进行水平月面的连续步态规划,并设计单步足端轨迹,通过动力学仿真,验证LBE行走步态稳定性。仿真结果表明:LBE沿前进方向连续稳定运行,质心竖直方向浮动仅占整器高度的0.24%,俯仰角最大摆动幅度为0.34°,翻滚角最大摆动幅度为0.27°。

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%。