Low-cost Remote Monitoring of Biomedical Signals

Author(s):  
J. M. Morales ◽  
C. Díaz-Piedra ◽  
L. L. Di Stasi ◽  
P. Martínez-Cañada ◽  
S. Romero
Author(s):  
Udayan Bhattacharyya ◽  
Debanjan Mandal ◽  
Nikita Agarwal ◽  
Sayantika Sanyal ◽  
Sohom Basak ◽  
...  

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 936 ◽  
Author(s):  
Radu L. Sumalan ◽  
Nicoleta Stroia ◽  
Daniel Moga ◽  
Vlad Muresan ◽  
Alexandru Lodin ◽  
...  

This paper presents the development of a cost-effective automatic system for greenhouse environment control. The architectural and functional features were analyzed in the context of the realization of a controlled-environment agricultural system through all its stages: installation, deployment of the software, integration, maintenance, crop control strategy setup and daily operation of the grower. The proposed embedded platform provides remote monitoring and control of the greenhouse environment and is implemented as a distributed sensing and control network integrating wired and wireless nodes. All nodes were built with low-cost, low-power microcontrollers. The key issues that were addressed include the energy-efficient control, the robustness of the distributed control network to faults and a low-cost hardware implementation. The translation of the supervisory growth-planning information to the operational (control network) level is achieved through a specific architecture residing on a crop planning module (CPM) and an interfacing block (IB). A suite of software applications with flows and interfaces developed from a grower-centric perspective was designed and implemented on a multi-tier architecture. The operation of the platform was validated through implementation of sensing and control nodes, application of software for configuration and visualization, and deployment in typical greenhouses.


2019 ◽  
Vol 148 ◽  
pp. 248-252 ◽  
Author(s):  
N. Poma ◽  
F. Vivaldi ◽  
A. Bonini ◽  
N. Carbonaro ◽  
F. Di Rienzo ◽  
...  

Author(s):  
Hicham Ouldzira ◽  
Ahmed Mouhsen ◽  
Hajar Lagraini ◽  
Mostafa Chhiba ◽  
Abdelmoumen Tabyaoui ◽  
...  

<p>In recent years, wireless sensors networks (WSNs) have been imposed as an effective means of interconnection with simultaneous communication and information processing. They allow operating with sensors at low cost and low power consumption in various application areas such as ecosystem monitoring, detection and monitoring of objects and smart cities, etc.This paper describes the development of a system to detect the presence of an object and monitor it. This prototype is based on four NodeMcu modules (a static access point that provides the WIFI network, a server, a client and a mobile access point attached to the remote surveillance object) programmed under Arduino IDE and communicating between them via the HTTP protocol. The remote monitoring of the object for a linear disposition of the nodes used is based on the existence of the mobile access point in the HTTP client field.</p>


2007 ◽  
Vol 1 (05) ◽  
pp. 765-770
Author(s):  
M.F. Cabanas ◽  
◽  
F. Pedrayes ◽  
C.H. Rojas ◽  
M.G. Melero ◽  
...  

Solar energy has already grown to be the go-to form of renewable energy in the modern power grid. Monitoring the generation and consumption is imperative in order to properly plan the operation as well as the installation of additional capacity. Low-cost remote monitoring of a standalone solar farm through a Raspberry Pi is proposed in this paper. RS485 is used for data transfer between the inverter and the Raspberry Pi. Remote data monitoring is then achieved by pushing the data into the cloud from the Raspberry Pi. Real-time information is made accessible which will help in preventive maintenance, fault detection and also generate a database to aid in forecasting. This IoT based solution is suitable for solar installations in remote and inaccessible areas where regular access is inconvenient. The total number of units of power generated in a day can be calculated from which an estimate can be made about the number of units generated. From this, the financial savings that can be made by implementing a photovoltaic system for energy generation.


Author(s):  
Matteo D'Aloia ◽  
Annalisa Longo ◽  
Gianluca Guadagno ◽  
Mariano Pulpito ◽  
Paolo Fornarelli ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document