一种高效的基于TOF传感器的建筑结构裂缝监测能量测量系统

IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Tran Anh Khoa, Pham Duc Lam, N. H. Nam
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引用次数: 2

摘要

摘要随着建筑工程无处不在的社会的不断发展,投资者往往会加快建筑项目的进度,并可能忽视对拟议施工流程的跟踪。因此,建筑工程的耐久性降低,更容易开裂、断裂或坍塌,从而对人员和财产造成重大损失。与此同时,监督工程进度的劳动力往往耗时、费力、容易出错,而且容易受到风险的影响。本研究介绍了一种使用无线传感器网络(WSN)的系统,该网络由激光测距飞行时间(ToF)传感器模块组成,用于结构裂缝监测。所提出的系统收集现有裂纹振幅变化的数据,以及可能对裂纹产生不利影响的环境因素,如温度、湿度和振动。这有助于通过尽快提供警告和补救措施来评估安全级别,有助于提高工人和居住在该地区的人的安全级别,并最大限度地减少潜在的损害。测试结果表明:该装置在极端天气条件下运行稳定;预期寿命超过十年;具有精度高、数据传输时间长、运行成本低、功耗低等特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient energy measurement system based on the TOF sensor for structural crack monitoring in architecture
ABSTRACT With the continuous development of a society in which construction works are ubiquitous, investors often accelerate the progress of construction projects and may neglect to follow the proposed construction processes. As a result, construction works decrease in durability and become more susceptible to cracking, breakages, or collapse, resulting in significant damage to people and property. Meanwhile, labour to monitor the progress of works is often time-consuming, effortful, prone to errors, and vulnerable to risk. This study introduces a system that uses a Wireless Sensor Network (WSN) consisting of a laser-ranging Time-of-Flight (ToF) sensor module for structural crack monitoring in architecture. The proposed system collects data on the variation in amplitude of an existing crack as well as environmental factors that can adversely affect cracks such as temperature, humidity, and vibration. This aids the assessment of safety levels by providing warnings and remedies as quickly as possible, contributing to raising the safety level for workers and people living in the area, and minimizing potential damage. Test results demonstrate the following advantages: the device operates stably in extreme weather conditions; has an expected lifetime of more than ten years; and features high accuracy, long data transmission, and low-cost, low-power operation.
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来源期刊
CiteScore
7.50
自引率
0.00%
发文量
18
审稿时长
27 weeks
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