Pi Doctor: A Low Cost Aquaponics Plant Health Monitoring System Using Infragram Technology and Raspberry Pi

Author(s):  
V. V. Sajith Variyar ◽  
Nikhila Haridas ◽  
C. Aswathy ◽  
K. P. Soman
2021 ◽  
pp. 851-860
Author(s):  
Tamanna Shaown ◽  
M. Shohrab Hossain ◽  
Tasnim Morium Mukur

Author(s):  
Thomas Feldhausen ◽  
Asimm Hirani ◽  
Walter King ◽  
Roby Lynn ◽  
Thomas Kurfess

Abstract Monitoring of the health of water-based coolant used for machining requires measurement of various parameters of the coolant, including refractive index, temperature, pH, and turbidity. One of the primary parameters that is used to determine the concentration of the coolant is the refractive index, which is typically measured manually by an operator at regular intervals during machine operation. This paper describes the conceptualization and preliminary design of a coolant health monitoring system that will automatically measure the refractive index of the coolant and will digitize the resulting measurement for communication to a factory supervisory control and data acquisition (SCADA) system. To enable rapid integration into a factory’s network architecture, the coolant concentration measurement will be transmitted by the monitoring system using the MTConnect format. Having an MTConnect-enabled sensor will allow the data to be remotely aggregated and compared to other machine data to help give a better understanding of overall machine health. The economical approach to its design allows the coolant health monitor to be realizable for both small manufacturing enterprises (SMEs) and large manufacturers alike. This widespread implementation will further benefit industry’s movement toward Internet-of-Things (IoT)-equipped manufacturing facilities.


2014 ◽  
Vol 889-890 ◽  
pp. 829-832 ◽  
Author(s):  
Hong Ma

Based on the Bluetooth technology, using wireless sensor network design the mountain of debris flow health monitoring system, analysied and fixed mountain monitoring elements, given the data acquisition and processing methods, the project is simple, low cost, high reliability . To solve monitoring, early warning, data analysis of the current landslides and debris flow disaster, which are very practical.


Author(s):  
Ami Tanaka ◽  
Syuuichi Okamoto ◽  
Ryoma Furumori ◽  
Takakuni Douseki ◽  
Fumiyasu Utsunomiya

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.


2019 ◽  
Vol 10 ◽  
Author(s):  
Conrad Zeidler ◽  
Paul Zabel ◽  
Vincent Vrakking ◽  
Markus Dorn ◽  
Matthew Bamsey ◽  
...  

Author(s):  
Meghamala Dutta ◽  
Sourav Dutta ◽  
Swati Sikdar ◽  
Deepneha Dutta ◽  
Gayatri Sharma ◽  
...  

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