基于深度学习的智能花卉养护系统设计

设计一种基于深度学习的智能花卉自动养护系统.基于深度学习的图像分类技术,利用采集到的花卉图片对花卉的生长状况进行识别(如叶子发黄则代表缺少光照).自动控制系统根据识别的花卉生长状况来执行相应的动作,从而改变花卉的环境参数,使得花卉在无人管理的情况下也能很好地生长.     

基于PLC的混凝土蒸汽养护池模糊控制系统设计

蒸汽养护为水泥混凝土制品生产中的一个关键环节,针对混凝土蒸汽养护池温度变化的经验特点,以西门子S7—300PLC为控制核心、以模糊控制理论为依据,设计出混凝土蒸汽养护池模糊控制系统,实际应用表明：该系统具有较高的控制精度、稳定性。     

一种智能鲁棒控制算法

为了克服工程控制系统中客观存在的内部和外部不确定性,本文提出一种新的系统数学描述——惯性,并以惯性作为系统模型。采用智能控制技术形成一种简单有效而且易于实现的控制算法。将该算法与LQSF 方法和 Davison 的鲁棒控制方法在模拟工况条件下进行仿真比较的结果,证实了本文提出的算法有更好的鲁棒性和其它的控制品质。     

烟台砌块养护窑计算机控制系统

介绍为控制多个养护窑而研制的一套新型分布式控制系统。控制系统引入PID控制。仿真和实时控制结果表明，该系统具有结构紧凑、调整时间快、精度高的特点。     

一种基于模糊控制的温度控制系统设计

为提高工业上所需温度的控制精度,文中介绍了一种以STC89C52单片机为核心,采用模糊控制算法的温度控制系统,并对模糊控制思想,包括模糊控制的基本结构和参数设计,及系统的软、硬件设计进行了详细阐述。在该系统中,通过采用模糊控制算法对温度实现了很好的控制,并且该系统正处于实际工业电阻炉温度控制的应用和试行阶段,也达到了满意的控制效果。实践表明,模糊控制方法提高了控制的实时性稳定性和精确度,并且实现了操作过程的简化,对于工程实际应用具有较强的借鉴意义。     

一种智能无线充电系统设计

针对目前市场上存在的大部分无线充电系统充电效率低、充电电量可控性差等问题,文章设计了一种全新的智能无线充电系统。该系统在电池模块中嵌入电量采集模块、低功耗主控芯片和2.4G通信模块,充电模块中嵌入同样的主控和通信模块。充电模块可通过2.4G无线通信接收电池的实时电压和充电电流等信息,根据内置的智能算法,通过振幅调制载波功率限制,实现自适应动态输出。实验表明,在有效距离内,该系统具有较高的充电效率,具体充电情况可根据电池实时电量信息进行智能控制,有效地预防了电池过充和过放等问题。该智能无线充电系统具有低功耗、转换效率高、能够对充放电智能管理等特点,可广泛应用于智能家居、智能医疗、智能穿戴等领域,具有良好的社会价值和经济价值。     

一种城市智能交通系统设计

随着城市车辆的逐渐增多,交通拥堵问题日趋突出。而在大多数情况下,由于交通信号灯时间难以及时随路况进行调整,加之不同路段的车流量不均匀,必将加剧城市道路拥堵的现象。为此,本文设计了一种城市智能交通系统。一方面,通过电感式传感器,实时监测车流量,利用STM32单片机获取并整合相关数据,再根据自适应算法,动态调整信号灯时间的长短;另一方面,基于蚁群算法,通过对城市各个路口各个方向车流量等信息的采集,转换,比较与分析,结合某一车辆当前的规划路径,向车辆发送路径推荐方案。     

一种射箭投壶控制系统设计与实现

对射箭投壶系统进行了方案的选择及设计,设计使用了STM32F103芯片作为主控系统,无刷直流电机作为动力来源,气缸作为传递机构的动力,在底盘使用了麦克纳姆轮,可以进行全方向的移动,使用方便。操作使用的是遥控控制系统,可进行远距离的通信传输。该设计具有结构简便、性能稳定等优点,对现实工业生产具有一定的参考价值。     

一种由单片机实现的远程控制系统设计

文章介绍了一种简单、实用的远程控制系统。该系统以程控电话为载体，采用单片机对播放中心的PC机、录像机、VCD实时控制和切换，实现了在任何有闭路电视和程控电话的教室均可实施多媒体教学。     

装配式混凝土构件设计软件

针对当前装配式混凝土结构发展迅速而相应的设计软件严重缺乏的现状,研发装配式混凝土构件设计软件PCMSD。该软件具有叠合梁端结合面、预制柱底施工缝、桁架钢筋混凝土叠合楼板、预制外挂墙板、叠合梁与预制柱节点、主次梁牛担板连接节点和主次梁缺口连接节点等设计功能。PCMSD在紧扣国家结构设计标准的基础上,结合工程实际,针对设计人员在装配式结构设计中急需解决的问题提供相应的解决方案。通过采用OpenXML标准和C++托管技术实现Word计算书的输出,其中包含构件设计的详细过程、公式和数据代入过程,便于设计人员检查校核。     

A multi-agent intelligent system for efficient ERP maintenance

The Enterprise Resource Planning (ERP) system is an enterprise-wide integrated software package designed to uphold the highest quality standards of business process. However, for the time being, when the business condition has been changed, the system may not guarantee that the process embedded in ERP is still best. Moreover, since the ERP system is very complex, maintaining the system by trial and error is very costly. Hence, this paper aims to construct a support system that adjusts ERP system to environmental changes. To do so, we adopt multi-agent intelligent technology that enables autonomous cooperation with one another to monitor ERP databases and to find any exceptional changes and then analyze how the changes will affect ERP performance. Moreover, Petri net is applied to manage the complexity and dynamics of agents’ behavior. To show the feasibility of the idea, a prototype agent system, ERP/PN, is proposed and an experiment is conducted.     

Multi-objective imperfect maintenance optimization for production system with an intermediate buffer

In several production systems, buffer stocks are built between consecutive machines to ensure the continuity of supply during interruptions of service caused by breakdowns or planned maintenance actions. However, in previous research, maintenance planning is performed individually without considering buffer stocks. In order to balance the trade-offs between them, in this study, an integrated model of buffer stocks and imperfective preventive maintenance for a production system is proposed. This paper considers a repairable machine subject to random failure for a production system by considering buffer stocks. First, the random failure rate of a machine becomes larger with the increase of the number of random failures. Thus, the renewal process is used to describe the number of random failures. Then, by considering the imperfect maintenance action reduced the age of the machine partially, a mathematical model is developed in order to determine the optimal values of the two decision variables which characterize the proposed maintenance strategy and which are: the size of the buffer stock and the maintenance interval. The optimal values are those which minimize the average total cost per time unit including maintenance cost, inventory holding cost and shortage cost, and satisfy the availability constraint. Finally, a heuristic procedure is used to solve the proposed model, and one experiment is used to evaluate the performance of the proposed methods for joint optimization between buffer stocks and maintenance policy. The results show that the proposed methods have a better performance for the joint optimization problem and can be able to obtain a relatively good solution in a short computation time.     

利用反射技术实现一种新型软件系统维护模型

在深入研究.NET反射技术基础上,结合.NET框架结构的特性,从资源整合的角度,探索性地提出了一种新型的软件系统维护模式,保证了复杂的大型系统维护的高效性和经济性,具有很大的实际意义。     

Software architecture knowledge for intelligent light maintenance

The maintenance management plays an important role in the monitoring of business activities. It ensures a certain level of services in industrial systems by improving the ability to function in accordance with prescribed procedures. This has a decisive impact on the performance of these systems in terms of operational efficiency, reliability and associated intervention costs. To support the maintenance processes of a wide range of industrial services, a knowledge-based component is useful to perform the intelligent monitoring. In this context we propose a generic model for supporting and generating industrial lights maintenance processes. The modeled intelligent approach involves information structuring and knowledge sharing in the industrial setting and the implementation of specialized maintenance management software in the target information system. As a first step we defined computerized procedures from the conceptual structure of industrial data to ensure their interoperability and effective use of information and communication technologies in the software dedicated to the management of maintenance (E-candela). The second step is the implementation of this software architecture with specification of business rules, especially by organizing taxonomical information of the lighting systems, and applying intelligence-based operations and analysis to capitalize knowledge from maintenance experiences. Finally, the third step is the deployment of the software with contextual adaptation of the user interface to allow the management of operations, editions of the balance sheets and real-time location obtained through geolocation data. In practice, these computational intelligence-based modes of reasoning involve an engineering framework that facilitates the continuous improvement of a comprehensive maintenance regime.     

基于供应链的企业智能系统集成研究

针对基于供应链企业现代生产集成系统建立了其智能体系模型，提出企业现代生产集成系统工程的智能系统不是一个与应用工程并列的独立的系统，它依附于生产单元，以软构件方式在生产单元中存在。一个智能软构件是智能系统的一个基本调用单元，生产单元在系统供应链构筑时可以按照自由的需求随意调用合适的智能软件以构成智能型生产单元（软节点），也可以按照自己的需求随意删除不合适（或过时）的智能软构件，这样，各智能软构件便可以分布于物理网络的各个端点。     

维修智能决策支持系统及其可视化实现

阐速了一种维修智能决策支持系统的可视化实现，讨论了决策支持可视化的涵义，介绍了可视化维修智能决策支持系统的体系结构及关键技术。该系统支持自动获取维修数据信息，实现了维修故障诊断过程和智能决策的可视化，提高了装备维修保障水平。     

广播电视系统状态维护技术初探

随着广播电视技术发展速度的不断加快,人们对广播电视的质量提出了较高的要求,而对广播电视系统的维修管理和电视质量的提高具有重要的保障作用.本文首先对广播电视系统状态维护技术的预测性维修和可靠性评估等内容进行了简要阐述,然后从系统构建的详细设计两个方面对广播电视系统状态维护技术进行了初次探究.     

集成状态监测和故障诊断的设备管理系统

提出了离线和在线监测诊断相结合的状态维修策略,在状态维修思想的指导下,建立了系统的工作模型和功能模型。综合采用网络技术、计算机技术和数据库技术等开发出了集成状态监测和故障诊断的设备管理系统,为企业开展状态维修提供了有效的管理工具。     

基于性能合同的多部件系统维修策略模型优化

针对多部件串联系统维修效率低下与供应商所获利润少的问题,考虑各部件间的经济相关性,提出基于性能合同的多部件系统的维修策略模型.首先,采用韦伯(Weibull)分布描述系统各部件的使用寿命规律,并通过判断各部件使用度与预防性维修阈值和机会维修阈值的关系来实施不同的维修策略;其次,计算单位更新周期内的各维修活动概率和对应维...