scholarly journals Wireless, Non-invasive, Asset Life-cycle Monitoring System

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Mark Younghoon Kim ◽  
Kevin Farinholt ◽  
Jeff Demo ◽  
James Eno ◽  
Hunter Long ◽  
...  
Keyword(s):  
Life Cycle ◽  
Embedded System ◽  
Low Power ◽  
Monitoring System ◽  
Environmental Conditions ◽  
Critical Parameters ◽  
Current Status ◽  
Full Life Cycle ◽  
Cycle Monitoring ◽  
System Intelligence

Exposure to harsh environments during storage, transportation, and handling can have significant effect on various system assets, making it important to understand the full life-cycle exposure of sensitive equipment. To quantify a system’s status timeline, a wireless, intelligent, low-power life-cycle monitoring device is being developed. No current monitoring systems have the capability to measure environmental conditions experienced by an asset and use that data to determine time spent in various states such as storage, transportation, handling and deployment. The sensor system being developed will employ a multi-modal sensing approach that will provide on-device analysis of the various parameters such as acceleration, temperature, and other environmental conditions for the duration of asset storage, handling, and distribution. Extremely low power and potentially easy to integrate into existing platforms, the monitoring system will include on-system intelligence for distinguishing between different statuses and is designed to use reliable, wireless, low-profile, and inexpensive sensing technologies. Embedded system intelligence is designed to use collected datasets to accurately quantify the asset’s current status and the amount of time spent within each state. The ability to monitor critical parameters and use them to classify this status throughout the asset’s life-cycle could provide some of the diagnostic information that would facilitate condition based maintenance. Engineers and operators can review exposure conditions and analyze how status and exposure effects contribute to the current condition of their equipment. The monitoring system will provide maintainers additional data points in assessing the historical use of the system.

scholarly journals Full life-cycle monitoring and earlier warning for bolt joint loosening using modified vibro-acoustic modulation

2022 ◽  
Vol 162 ◽  
pp. 108054
Author(s):  
Xiaoshu Qin ◽  
Chang Peng ◽  
Gaozheng Zhao ◽  
Zengye Ju ◽  
Shanshan Lv ◽  
...  
Keyword(s):  
Life Cycle ◽  
Full Life Cycle ◽  
Full Life ◽  
Acoustic Modulation ◽  
Cycle Monitoring

scholarly journals The Demonstration of S2P (Serial-to-Parallel) Converter with Address Allocation Method Using 28 nm CMOS Technology

2021 ◽  
Vol 11 (1) ◽  
pp. 429
Author(s):  
Min-Su Kim ◽  
Youngoo Yang ◽  
Hyungmo Koo ◽  
Hansik Oh
Keyword(s):  
Integrated Circuits ◽  
Embedded System ◽  
Low Power ◽  
High Speed ◽  
Cmos Technology ◽  
Clock Frequency ◽  
Clock Generation ◽  
Allocation Method ◽  
Evaluation Board ◽  
28 Nm

To improve the performance of analog, RF, and digital integrated circuits, the cutting-edge advanced CMOS technology has been widely utilized. We successfully designed and implemented a high-speed and low-power serial-to-parallel (S2P) converter for 5G applications based on the 28 nm CMOS technology. It can update data easily and quickly using the proposed address allocation method. To verify the performances, an embedded system (NI-FPGA) for fast clock generation on the evaluation board level was also used. The proposed S2P converter circuit shows extremely low power consumption of 28.1 uW at 0.91 V with a core die area of 60 × 60 μm2 and operates successfully over a wide clock frequency range from 5 M to 40 MHz.

scholarly journals Development and Preliminary Tests of a Low-Power Automatic Monitoring System for Flexible Debris Flow Barriers

2021 ◽  
Vol 55 ◽  
pp. 1783-1790
Author(s):  
Roberto Savi ◽  
Alessandro Valletta ◽  
Andrea Carri ◽  
Edoardo Cavalca ◽  
Andrea Segalini
Keyword(s):  
Debris Flow ◽  
Low Power ◽  
Monitoring System ◽  
Automatic Monitoring ◽  
Automatic Monitoring System

scholarly journals An Autonomous Low-Power LoRa-Based Flood-Monitoring System

2020 ◽  
Vol 10 (2) ◽  
pp. 15 ◽  
Author(s):  
Mattia Ragnoli ◽  
Gianluca Barile ◽  
Alfiero Leoni ◽  
Giuseppe Ferri ◽  
Vincenzo Stornelli
Keyword(s):  
Low Power ◽  
Monitoring System ◽  
Area Network ◽  
Test Results ◽  
Wide Area Network ◽  
Web Structure ◽  
Flood Monitoring ◽  
Node Architecture ◽  
Different Types ◽  
Wireless Module

The development of Internet of Things (IoT) systems is a rapidly evolving scenario, thanks also to newly available low-power wide area network (LPWAN) technologies that are utilized for environmental monitoring purposes and to prevent potentially dangerous situations with smaller and less expensive physical structures. This paper presents the design, implementation and test results of a flood-monitoring system based on LoRa technology, tested in a real-world scenario. The entire system is designed in a modular perspective, in order to have the capability to interface different types of sensors without the need for making significant hardware changes to the proposed node architecture. The information is stored through a device equipped with sensors and a microcontroller, connected to a LoRa wireless module for sending data, which are then processed and stored through a web structure where the alarm function is implemented in case of flooding.

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