教学课程资源库 更多>>

关键词： Sensors   Location awareness   Simultaneous localization and mapping   RFID tags   Pipelines   Noise measurement   Monitoring   Battery-free sensors   field robotics   infrastructure robotics   infrastructure sensing   pipe robotics   pipe sensing   robot localization   robot perception   sensor applications   simultaneous localization and mapping (SLAM)   ultra high frequency (UHF)-radio-frequency identification (RFID) sensors  

摘要： Water utilities across the globe are concerned with the inspection and replacement of buried metallic water pipes due to corrosion-related structural damages. Internal pipe linings are commonly used as a renewal method to improve structural strength as they are regarded to be a less expensive alternative to costly and time-consuming pipe replacements. However, linings are also prone to failure as well. Therefore, water authorities regularly monitor lining performance, where defect evolution over a long period of time is an important parameter to note. It requires an accurate in-pipe robot localization technology. In this article, we propose a novel method for in-pipe robot localization and tag mapping that uses battery-free ultra high frequency (UHF)-radio-frequency identification (RFID) sensor wireless signals. It utilizes a signal mapping approach in combination with a tailored pose-graph simultaneous localization and mapping (SLAM) algorithm. Evaluation results of a field-extracted pipe sample from Sydney Water's distribution network show that the proposed approach is capable of localizing the robot within 2.5 cm accuracy in a 50-m equivalent pipe with an unknown UHF-RFID distribution. The proposed approach outperformed other reported similar work in the literature.

关键词： Radiofrequency identification   Sensors   Temperature sensors   Electric shock   Temperature measurement   Monitoring   Vibrations   Edge processing   reduced energy consumption   ultrahigh-frequency (UHF) radio-frequency identification (RFID)   vibration   physical shock sensors  

摘要： This article presents energy-efficient edge processing for an ultrahigh-frequency (UHF) band radio-frequency identification (RFID)-based vibration frequency/ physical shock sensing system. This system is especially useful for long-term measurements. In this edge processing system, an RFID reader has a standby mode operating at a low duty cycle and an active mode operating at a high duty cycle. With these modes, an RFID reader achieves both energy-efficient operations and accurate sensing performance. The standby mode is useful for reducing energy consumption, preventing overheating, and reducing greenhouse gas emissions because a low duty cycle leads to a short radio wave irradiation time. Reducing the heat generation of the RFID reader, especially for long-term measurements, the standby mode makes the RFID reader durable. If vibration/physical shocks are applied to the RFID sensor tag, then the standby mode triggers the active mode. The standby mode samples the presence of the RFID sensor tags within an experimentally determined sampling period to detect the beginning of vibration/physical shocks. A high-duty cycle in the active mode results in an increased number of RFID sensor tag readings. Because the proposed edge processing keeps measured data only for the active mode, the amount of data uploaded to the Internet-of-Things (IoT) cloud is reduced. The proposed method was experimentally evaluated by monitoring walking behaviors and a refrigerator. The vibration sensing capability was mainly validated by monitoring a refrigerator, and the physical shock sensing capability was evaluated by monitoring walking behaviors by a human examinee.

关键词： Energy harvesting   integrated circuit (IC)   Internet of Things (IoT)   radio frequency identification (RFID)   thermoelectric generator (TEG)  

摘要： This article presents a wireless temperature sensor tag able to work in both fully passive mode and in semi-passive mode when assisted by a flexible thermoelectric generator (TEG). The sensor tag consists of an EPC C1G2/ISO 18000-6C ultrahigh-frequency (UHF) radio frequency identification (RFID) integrated circuit (IC) connected to a low-power microcontroller unit (MCU) that samples and collects the temperature from a digital temperature sensor. With a temperature gradient as low as 2.5 degrees C, the test results show that the TEG provides an output power of 400 mu W with an output voltage of 40 mV. By means of an up-converter in order to boost the TEG output voltage, this harvester supplies the power required to the sensor tag for a 2-conv/s data rate in semi-passive mode. Moreover, when the tag operates in semi-passive mode, a communication range of 22.2 m is measured for a 2-W effective radiated power (ERP) reader. To the best of our knowledge, the proposed TEG-assisted sensor tag shows the longest communication range and the only one that provides stable external power at low-temperature gradients. The measured performance and the chosen architecture allow using the wireless sensor in multiple industrial or biomedical applications.

标准号: GB/T 42025-2022

标准号: GB/T 41674.1-2022

摘要： 本文件规定了不同动物物种射频识别标签的标准注射部位。本文件适用于猫和狗等伴侣动物。

标准号: GB/T 41734.2-2022

标准号: GB/T 42030-2022

标准号: GB/T 41734.3-2022

标准号: GB/T 41732.1-2022

关键词： Artificial intelligence   Chatbot   Machine learning   MQTT   RFID   Robot  

摘要： Purpose: The purpose of this study is to analyze the existing literature on the application of the Internet of Things (IoT) and to give an overview of how libraries are adopting this emerging technology to make users feel more engaging with the library resources and service provision. Design/methodology/approach: The basic architecture of IoT with its functionality has been enumerated and its different layers have been depicted. Findings: A conceptual library IoT model, working on Message Queuing Telemetry Transport protocol, based on the fog-cloud computing layer of architecture has been proposed. This study also highlights the sensor-based current library services. Originality/value: This study focuses on the existing practices of adoption of library IoT and discusses the possibilities of its future expansion in different areas. © 2022, Emerald Publishing Limited.