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关键词： 传感器技术   安全传感器   智能工厂   智能系统   智能安全   照相技术   RFID   提高生产力  

摘要： 为满足现代智能工厂不断增长的需求,皮尔磁的传感器技术已经发展成为智能系统,其解决方案可适用于范围广泛的应用领域。无论基于机械、磁力、RFID、光学还是照相技术,皮尔磁的安全传感器始终专注于提高生产力和用户友好性。

关键词： 传感器技术   机电自动化   技术应用  

摘要： 传感器技术是信息技术的重要支柱之一,广泛应用于机电自动化,促进机电自动化进行智能化生产,促进技术升级和生产增效。本文阐述了传感器的技术应用原理,分析了传感器在该领域的技术应用,说明其对工业生产、环境检测、设备加工以及人工智能的技术辅助影响。

关键词： 中职   传感器技术   理论实践一体化  

摘要： 现代社会人们对于日常生活产品的智能化与自动化要求越来越高,传感器应用极其广泛,而且种类繁多,涉及的学科也很多。对于中等职业学校电气运行与控制等专业,传感器技术应用基础课程的学习,主要是了解传感器的基本原理、结构、性能、用途及基本测量电路,以便采用相应的控制手段对电路运行进行有效的控制。

关键词： 汽车传感器技术产业   自动驾驶   硬件   激光雷达  

摘要： 本文主要围绕自动驾驶汽车传感器技术产业开展分析,并阐述了重要组成的硬件应用,如激光雷达、摄像头、超声波传感等实现自动驾驶的基础,希望得到相关探究与开发工作人员的重视,确保在未来能够从传感器设计技术功课、完善产业链布局、强化产业系统等多方面,提高自动驾驶汽车传感器技术的应用效果。

关键词： 智能家居   物联网   单片机   WiFi技术   OneNET   传感器技术   EDP协议  

摘要： 本文主要研究关于简易智能家居系统的设计与开发,该系统分为硬件终端节点与云平台监控系统两大部分。硬件终端节点以STC89C52RC单片机为核心,结合传感器技术、WiFi通信技术与LCD显示技术,实现对家居环境数据的采集、显示,以及火灾报警、按键控灯、上传数据至OneNET云平台等功能。云平台监控系统采用EDP协议将接收到的环境数据呈现给用户,并且用户可以通过云平台下发指令,实现对硬件终端节点相关设备的控制。

关键词： 南京理工大学   传感器技术   多传感器网络   硬件设计   传感器系统设计   传感探测  

摘要： 目前,大量学者在多传感器系统设计取得较多成果。自2003年起,国家自然科学基会开设了二十个与传感器网络关键技术相关的研究项目和课题,推动了国内传感器技术研究趋势的发展。2004年南京理工大学开展了多传感探测系统中的声音、GPS、视频多信息系统中硬件设计研究。

关键词： Acoustic gunshot sensor   Gun violence   Hospital transport time   Pre-hospital care   Trauma  

摘要： Introduction: As cities nation-wide combat gun violence, with less than 20% of shots fired reported to police, use of acoustic gunshot sensor (AGS) technology is increasingly common. However, there are no studies to date investigating whether these technologies affect outcomes for victims of gunshot wounds (GSW). We hypothesized that the AGS technology would be associated with decreased prehospital transport time. Methods: All GSW patients from 2014 to 2016 were collected from our institutional registry and cross-referenced with local police department data regarding times and locations of AGS alerts. Each GSW incident was categorized as related or unrelated to an AGS alert. Admission data, trauma outcomes, and prehospital time were then compared. Results: We analyzed 731 patients. Of these, 192 were AGS-related (26%) and 539 were not (74%). AGS-related patients were more likely to be female (p < 0.01), have a higher injury severity score (ISS) (p < 0.01), and require an operation (p = 0.03). Ventilator days (p < 0.05) and hospital length of stay (p < 0.01) was greater in the AGS cohort. Mortality, however, did not differ between groups (p = 0.5). On multivariable analysis, both total prehospital time and on-scene time were lower in the AGS group (p < 0.01). Conclusion: Our study suggests reduced transport times, decreased prehospital and emergency medical service on-scene times with AGS technology. Additionally, despite higher ISS and use of more hospital resources, mortality was similar to non-AGS counterparts. The potential of AGS technology to further decrease prehospital times in the urban setting may provide an opportunity to improve outcomes in trauma patients with penetrating injuries. (C) 2019 Elsevier Inc. All rights reserved.

关键词： sensor   automobile   robot   MEMS   gyro   tactile  

摘要： This paper reviews various sensor technologies with application in automobiles and robots. Several automotive sensors have been developed using the micro-electromechanical systems (MEMS) technology. The technologies related to combustion pressure sensors, yaw rate sensors, acceleration sensors, and optical scanners are described here. The combustion pressure sensors are used for engine control, while the yaw rate sensors of quartz and silicon crystals and the acceleration sensors are applied for vehicle motion control. Optical scanners are developed for autonomous driving. Several automotive sensors have been significantly reduced in size and cost, and their performance has been improved dramatically by MEMS technology. The inertial force-sensing system with yaw rate and acceleration sensors enabled the assistant and partner robots to stand on two legs, walk, or invert and move on two wheels. Because the robots are required to have a variety of sensors, a nerve-net sensing system was developed. This sensing system has three layers: the host, relay, and sensor nodes. The sensor node is a special large-scale integration called a 'nerve-net chip.' A triaxial force tactile sensor integrated with the nerve-net chip was developed as a 2.8-mm square surface-mountable chip. A force and thermal tactile sensor was also developed, which detected heat flows and discriminated the materials of contacted objects. The heat flow sensor was thinned with thin-film technology. The sensor technologies will be used for eco cars and autonomous vehicles. Next-generation robots are also supported by several automotive sensor technologies. (c) 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

摘要： In this article the author talks about the U.S. Navy shipboard electronics experts are extending a project to develop new computing and sensor technologies for active and passive sonar systems involved in surveillance, situational awareness, and anti-submarine warfare (ASW). It mentions that sensor technologies of interest include high-power active sonar projectors in conformal acoustic velocity sonar (CAVES) matrix.

摘要： A total of 13 papers were published in this Special Issue entitled: “Emerging Sensor Technology in Agriculture”, and the topics addressed include different emerging technologies with applications on ecosystems (grasslands) [1] and several agriculture crops such as peppers [2], apples [2,3], grapevines [2,4,5,6,7], cocoa trees [6], citrus [8], legumes [9], wheat and rice [10,11]. [1] an aerial (Unmanned aerial vehicle—UAV) and an on-ground (Kinect sensor—RGB-D (Depth camera)) methods were used to characterize grass ley fields (plant height, biomass, and volume) composed of different species mixtures, using digital grass models. The authors highlighted that more complex models are needed to estimate grain yield and carbon isotopes since the environmental conditions have a strong influence on the temperature profile of the plants. [7] proposed the first artificial intelligence approach to model smoke contamination in canopies and smoke taint in grapes and wines using non-invasive infrared thermal imagery (IRTI) and near-infrared spectroscopy (NIR), producing highly accurate machine learning models.