Project Summary: Asthma is a widely spreading disease in Asia mainly because of massive environmental pollution. Asthma is such a disease which require immediate action and quick medication. In this regard, there is an uttermost requirement of such device which can d
Fog Computing Based Smart Asthma Monitoring System
Project Summary:
Asthma is a widely spreading disease in Asia mainly because of massive environmental pollution. Asthma is such a disease which require immediate action and quick medication.
In this regard, there is an uttermost requirement of such device which can detect all asthma triggers before the situation worsens. Automated devices do exist which monitors patient's internal body factors to identify the attack. They may be helpful but the point here is that asthma is triggred mainly because of environmental factors. So there is a need to develop such a device which monitors environemnt along with internal body conditions to make asthma detectable before it goes adverse.
We are developing a smart asthma monitoring system which detects environmental conditons like combustible gases smokes, dust and humidity. The internal body factors include pulse oximetry. Whenever any of the factors go far from the given threshold values, an emergency alarm/message is triggered to conerned people so that measures could be taken to minimize the danger. This is done through fog computing node. The rest of data is sent to cloud for future studies and analysis.
Objectives:
The main objective of this project is to facilitate asthma patients, majorly the older ones who cannot take immediate actions. Once the attack is triggered, there are not many options left to treat the patient except for getting the inhalers promptly or to go the hospital. To avoid this, we have worked on a system which informs the patients and the concerned ones right when changes are starting to occur. A margin of about fifteen minutes can be given to patient to take the measures before the situation goes regrettable.
Following methodology is adopted for this project.
Prototype:
The system protype includes an integrated circuit of all senosrs for real time monitoring. The platform used for results is Arduino CC which shows real time output of sensors digitally and through a graph.
Simulation:
The already gathered values are used to analyze and generate alarm and message in serious conditions using fog computing node on a simulator. The simulator used will be CloudSim or ThingsBoard.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino Starter Kit | Equipment | 1 | 3500 | 3500 |
| Arduino Optical Dust Sensor | Equipment | 1 | 650 | 650 |
| Arduino MQ-9 Sensor | Equipment | 1 | 250 | 250 |
| Arduino Humidity Sensor | Equipment | 1 | 120 | 120 |
| Arduino Pulse Sensor | Equipment | 1 | 250 | 250 |
| ESP 8266 WiFi Module | Miscellaneous | 1 | 230 | 230 |
| HC 05 Bluetooth Module | Miscellaneous | 1 | 370 | 370 |
| Data Collection and Surveys(Travelling) | Miscellaneous | 3 | 1500 | 4500 |
| Equipment Delivery Charges | Miscellaneous | 1 | 130 | 130 |
| Total in (Rs) | 10000 |
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