scholarly journals Do-it-yourself, low-cost building monitoring system

2021 ◽  
Vol 2042 (1) ◽  
pp. 012042
Author(s):  
Olivier Steiger ◽  
Reto Marek

Abstract Monitoring systems are essential for the energy-efficient and comfortable operation of buildings. However, today's monitoring solutions are relatively expensive in terms of purchase, installation, and maintenance. At the same time, there is a need for low-cost monitoring systems, especially for smaller buildings. To address this need, a novel do-it-yourself, low-cost building monitoring system based on open technologies has been developed. The system is intended to be assembled and put into operation by laymen in accordance with given instructions. Accordingly, all work stages must be simple and obvious. This paper describes the low-cost monitoring system and its prototype implementation.

In the present work, we have designed a health monitoring system based on Node MCU to monitor temperature, heart rate and oxygen saturation level (SpO2) signals, sensed by respective sensors. The necessary signal conditioning circuits have been designed in our laboratory using off-the shelf electronic components. A Data acquisition system has been designed using ESP 32 Node MCU. The designed system is a low-cost alternative to the commercially available USB controller based health monitoring systems. Firmware has been developed and deployed into the Node MCU using arduino IDE. The acquired data has been displayed on OLED display. The result shows maximum errors in the measured parameters within 2%. The designed system helps to achieve portability, high functionality and low cost which makes it an easy accessible tool for public, hospital, sports healthcare and other medical purposes.


Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 336
Author(s):  
Behnam Mobaraki ◽  
Fidel Lozano-Galant ◽  
Rocio Porras Soriano ◽  
Francisco Javier Castilla Pascual

In recent years, many scholars have dedicated their research to the development of low-cost sensors for monitoring of various parameters. Despite their high number of applications, the state of the art related to low-cost sensors in building monitoring has not been addressed. To fill this gap, this article presents a systematic review, following well-established methodology, to analyze the state of the art in two aspects of structural and indoor parameters of buildings, in the SCOPUS database. This analysis allows to illustrate the potential uses of low-cost sensors in the building sector and addresses the scholars the preferred communication protocols and the most common microcontrollers for installation of low-cost monitoring systems. In addition, special attention is paid to describe different areas of the two mentioned fields of building monitoring and the most crucial parameters to be monitored in buildings. Finally, the deficiencies in line with limited number of studies carried out in various fields of building monitoring are overviewed and a series of parameters that ought to be studied in the future are proposed.


Author(s):  
Patrik Šarga ◽  
Patrik Strnisko

The presented paper describes the creation of a “low-cost” monitoring security system based on the IoT platform connecting to the cloud. We focused on heat exchanger station, which is used in a block of flats. A simulation solution was devel-oped together with 3D visualization and a practical test. Final monitoring system informed the operator about the current state of the heat exchanger station and operator can intervene in time so that heat exchanger station is not suddenly damaged or cause some damage. Such monitoring system will find application in practice, but also in the teaching process, as the preparation of graduates for the modern monitoring systems, which are increasingly used in practice, will be improved. The presented paper is a scientific and methodological publication.


Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7353
Author(s):  
Jaime A. Rincon ◽  
Solanye Guerra-Ojeda ◽  
Carlos Carrascosa ◽  
Vicente Julian

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service by using the LoRa communication protocol. Also, it includes an AI algorithm based on deep learning for the detection of Atrial Fibrillation and other heart rhythms. The automatic detection of arrhythmias can be complementary to the diagnosis made by the physician, achieving a better clinical vision that improves therapeutic decision making. The performance of the proposed system is evaluated on a dataset of 8.528 short single-lead ECG records using two merge MobileNet networks that classify data with an accuracy of 90% for atrial fibrillation.


Author(s):  
Mr.Pradeep K G M Et. al.

A structural health building monitoring system is invented, achieved and attempted using Wireless Sensor Networks .Ambient vibration of the structure is audited and is implemented to identify the health status of the structure. With WSN, low cost monitoring is possible without intruding with the action of the structure. In this cluster head is heavily loaded since it gathers information from all other member nodes and integrate then and forward to sink either directly or through intermediate other cluster head. I near future cluster head drain and we need to select another cluster head via re clustering. The re clustering also led to energy loss to select the cluster head based on weight age value.WSN consumes less power and it is used to track slow targets .WSNs covers only small distance. WSN has high failure rate and we have to plant excessive nodes. Hence redundant nodes dissipate more power. To avoid this, sleep mode and scheduling algorithm is used in this paper. The objective of the paper is to design a scheduling algorithm to trace data with target rate. The proposed scheme is a kind of an adaptive/Cyclic on–off scheduling scheme in where sensors nodes use only local information to make scheduling decisions.


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