Design and Implementation of a Low
This context highlights a lack of accessible, verifiable tools for characterizing internal curing conditions. The primary objective of this work is to evaluate a low-cost , open-source embedded sensing platform designed for the trend-based monitoring of internal temperature and humidity.
This study evaluates a low-cost , open-source embedded sensor array designed to characterize early-age curing behavior through trend-based monitoring—defined here as the evaluation of ensemble consistency and repeatability rather than absolute metrological traceability.
Key Details About Design And Implementation Of A Low Cost Embedded Sensing Platform
Design and Implementation of a Low-Cost Embedded Sensing Platform for Relative Monitoring of Temperature and Humidity During Concrete Hydration. Eng, 7 (3), 107. https://doi.org/10.3390/eng7030107
With increasing interest in urban and ecological monitoring, there is a growing need for small, deployable, and inexpensive sensor devices. Many existing systems target specific domains (e.g. acoustic monitors, air-quality kits) or can be costly and proprietary [1]. Octopus offers a general-purpose environmental sensing platform : it combines low-cost construction with a highly modular design ...
A customizable, low
Along with its overall low power consumption, the proposed platform is highly suitable for various sensing applications within the context of IoT.
We propose LegoSENSE, a low-cost open-source and modular platform , built on top of the widely popular Raspberry Pi single-board computer, that makes it simple for anyone to rapidly set up and deploy a customized sensing solution for application specific IoT deployments.
(PDF) Design of a Low
Objective: To develop an environmental monitoring station based on the low-cost Arduino platform for environmental monitoring using sensors of physical quantities such as temperature, humidity ...
To address these limitations, we introduce a multi-modal sensing platform with embedded AI capabilities based on the ultra- low -power GAP9 SoC. The system combines energy-efficient data acquisition with local inference, enabling both real-time occupancy monitoring via a deployed CNN and envi-ronmental data collection for future predictive modeling.
Modeling and implementation of a low
The automatic weather system serves to inform farmers, tourists, planners, and others with precise information to help them take the appropriate action. Today, with the advancement of smart technologies, the system has evolved into many sensing methods to gather real-time climate data. This article investigates the modeling and implementation of a low-cost weather station device that also ...
The objective of this study is to design a low-cost system for long-term monitoring of advanced building envelope and evaluates its performance in comparison to conventional lab-grade sensors.