一种量程自动转换高精度数字电压表的设计

设计了一种以AT89S52单片机为核心、A/D转换芯片LTC1865为基础,结合量程自动转换电路的高精度数字电压表,可以对(0～400)V电压范围的电压进行量程自动转换的精确测量.测试结果表明,该电压表具有测量精度高、性能稳定、转换速度快及显示清晰度高等特点,有很好的实际应用价值.     

New Applications

Because of a new talking digital voltmeter, a blind engineer in Chicago, Illinois can fulfill his ambition to become a broadcast engineer.     

基于AT89S52的数字电压表的设计

在介绍数字电压表设计要求的基础上,详细讨论了系统设计方案的选取,重点介绍了基于AT89S52和ADC0809的硬件和软件方案的设计,并对系统进行调试和性能分析。     

Flexible converter of analog signal into discrete digital one with the example of double integration voltmeter

A flexible converter of an analog signal into a discrete digital one is designed in VisSim modeling environment with the example of double integration voltmeter. Two oscillators are applied for waveform processing algorithm optimization: the first one specifies a fixed time interval for each measurement run, while the second one is a high-frequency impulse oscillator, which forms measuring impulses. The converter employs the original pulse counter assembled per adder circuit using feedback with memory. The capabilities and advantages of the converter are described.     

面向智能矿山与新工科的数字孪生技术研究

将数字孪生与人工智能(AI)技术相结合,提出了基于数字孪生+AI的智能矿山建设新思路。探索了智能矿山技术发展路径,研究了数字孪生技术的特征、应用领域及发展趋势,指出数字孪生是数字化矿山发展的必然趋势。提出了基于数字孪生+AI的智能矿山理论架构,构建了矿山数字孪生模型,模型自下而上分别为矿山全要素物理实体、矿山信息物理融合层、矿山数字孪生模型、矿山孪生数据交互层、矿山应用智能服务层,据此实现智能矿山的泛在感知、协同控制和智能决策与优化。从应用实际需求出发,探讨了智能矿山模型构建技术、智能开采数字孪生体技术、矿山智能控制技术、矿山设备故障预测、基于数字孪生的人机交互等关键技术。通过研究数字孪生在智能矿山中的应用,为AI技术在智能矿山应用落地提供思路,为未来智能矿山新工科建设提供理论借鉴。     

人工智能技术在矿山智能化建设中的应用初探

介绍了人工智能技术的相关概念、发展概述及其在煤炭行业发展中的应用,指出目前人工智能技术在矿山应用只是点状结合和浅度结合,没有实现人工智能技术和矿山某个生产或管理系统层面的深度融合。概述了智能矿山的发展历程,指出智能矿山是人工智能技术、大数据技术、物联网技术和矿山实体的深度融合体,利用智能通信、智能控制和智能计算技术实现数字化矿山的计算、处理,构建数字孪生矿山,通过数字孪生矿山和物理矿山的智能交互演化,达到对煤矿安全、高效、绿色的生产控制。构建了将人工智能技术和矿山深度融合的包括设备层、智能层、应用层的智能矿山三层构架:应用层处于智能矿山的最高层,其中的数字孪生矿山子层相当于“数字大脑”,实现矿山最高层次的智能控制;智能层中的智能体要求子系统不仅仅是应用人工智能技术处理子系统所产生的数据,而是从架构上就要将智能计算、智能通信、智能控制融为一体。展望了智能矿山建设的发展趋势:智能化矿山需要加强人工智能技术和矿山融合度的深入研究,将现有的基于人工智能的故障检测、诊断及超前干预技术应用到机器人系统中,智能计算、智能通信、智能控制融合的巡检机器人将是最早能推广的井下智能体之一;智能化矿山需要进一步加强复杂巨系统建模技术的研究,只有建立了矿山的复杂巨系统模型,才能实现采矿活动和环境的协同互动,实现采煤活动的精准控制,复杂巨系统模型的缺乏将是未来智能矿山建设亟需解决的问题。     

Digital twin-driven intelligent production line for automotive MEMS pressure sensors

The equipment and technological processes used in manufacturing electronic products are gradually being automated and networked. Currently, digital twin technology continues to evolve and mature. The electronics manufacturing industry is undergoing an intelligent and digital transformation. Micro-electro-mechanical system (MEMS) sensors have been widely used in the automotive field due to their small size, low cost, and high reliability. In this study, a new intelligent production line for automotive MEMS pressure sensors driven by digital twin is individually designed. The intelligent production line system consists of physical production lines, digital production lines, twin data, and data service systems. The technology of multi-source heterogeneous data acquisition is used to process and analyze data collected in real time in a physical production line. Based on the technology of parallel control, the physical and digital production lines are synchronized. To obtain optimal process parameters, a process database is established through the analysis of the key processes of the production line. Three types of automotive MEMS pressure sensors are successfully manufactured in the constructed digital twin-driven intelligent production line. The intelligent production line can realize 24-h unattended operation. The product yield is above 98 %, and the takt time is less than 16 s.     

HART基地控制器的设备级网络集成

现场总线的出现，使传统的工业现场模拟仪表逐步让位于智能数字仪表和控制器，使HART协议智能基地控制器的设备级网络集成实例，说明了采用HART协议实现数字通信的优点。对智能仪表和设备进行网络化远程管理提出了一种实现方案。     

矿井低压真空馈电开关智能综合保护器的硬件设计

介绍了一种基于数字信号控制器的矿井低压真空馈电开关智能综合保护器的硬件设计,阐述了在该智能综合保护器硬件设计过程中的技术创新点,包括选用dsPIC30F6014A数字信号控制器、设计了负电压产生电路和备用电源、增加了液晶背光控制电路、增加了瓦斯频率输入部分。该智能综合保护器采用4层电路板结构以减小尺寸和提高抗干扰能力,并采用外部接线端子排接线结构,便于在井下更换。测试结果验证了该智能综合保护器的可行性。     

GA-based intelligent digital redesign of fuzzy-model-based controllers

Intelligent digital redesign involves converting a continuous-time fuzzy-model-based controller into an equivalent discrete-time counterpart for the digital control of continuous-time nonlinear systems by using the Takagi-Sugeno (TS) fuzzy models. In this paper, the authors present a new global state-matching intelligent digital redesign method for nonlinear systems by using genetic algorithms (GAs). More precisely, the intelligent digital redesign problem is converted to an equivalent optimization problem, and then GAs are adopted to find a solution. The search space, in which each problem variable is defined for GAs, are systematically obtained by the interval arithmetic operations. The proposed method results in global matching of the states of the analogously controlled system with those of the digitally controlled system while the conventional intelligent digital redesign method does not. The Chen's chaotic system is used as an illustrative example to show the effectiveness and the feasibility of the developed method. The proposed method provides a new approach for the digital redesign of a class of fuzzy-model-based controllers.