abhijithvijayan / openair Goto Github PK

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Real-time Air Quality Monitoring and Navigation System based on IoT

License: GNU General Public License v3.0

JavaScript 1.88% C++ 25.13% Python 14.39% Mako 0.31% CSS 0.91% C 0.21% TypeScript 38.67% TeX 5.38% Kotlin 0.08% Swift 0.25% Objective-C 0.02% Dart 11.61% Dockerfile 0.58% Shell 0.58%

internet-of-things air-quality-monitor navigation openair flutter flask nodejs arduino

openair's Introduction

OpenAir

Real-time Air Quality Monitoring and Navigation System based on IoT

Screenshots

Uses

MQTT
Websockets
HTTP

                        _______________________
                        |      dashboard      |
                        | (web-socket client) |
                        |_____________________|
                                  |
                                  | web-socket protocol
                        _______________________
                        |         |           |
                        |  web-socket(server) |
                        |_____________________|
 __________________     |         |           |      __________________      ______________      _______________
 | mqtt publisher | --> |     mqtt broker     | <--> | mqtt subscriber | --> | API server | <--> | Android App |
 |________________|     |_____________________|      |_________________|     |____________|      |_____________|
                   mqtt                         mqtt                    http                http
                 protocol                     protocol                protocol            protocol

Licence

Code released under the GPL V3 License.

openair's People

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openair's Issues

set up bot for PR auto merge

https://github.com/chdsbd/kodiak proved to be useful in other projects

[server] store average data for each day & keep for 7days in db

keep data for 7 consecutive days in database

Switch to another mqtt client for nodemcu

stop using PubSubClient due to its blocking nature as well as lack of QoS along with the fact that it appears to be no longer under development.

[server] add script to set up database intially

Some extensions used for geoalchemy requires manually installing extensions

It could be useful to automate it using a python script

[server] return the entire route even if no data is available

Currently the routes are not returned if there is no data exist for the path in database.

This causes the app not marking the location.

[web] roadmap for dashboard

The web client should fetch all node names & id from backend API

On socket connection, it should mark as active

There should be Dashboard Option to View all clients as well as view all active clients.

On clicking a node, it should show the sensors connected to it and the relevant gas data using charts

Also, it might be better to add new nodes with specific id or coordinates from the dashboard itself

Sensor reading scheme

Read 10 consecutive values of a single sensor with 1s delay in between

Then take average of it.

Then switch to next channel pin with 10sec minimum delay in between

[mobile] publish app to PlayStore

publish android app to google playstore.

[server]: optimise database query of finding nearby location

Currently, when a user searches for route between 2 points

Backend requests to Google Maps API to get routes to destination from source.
Select a route and iterate through the points in between
1. select the 3000m nearby point from current point
2. query 1500m distant node aqi value from the selected point
return results to the user with all the points and curresposing aqi values.

This model is inefficient considering the number of database queries for a single user request.

Suppose the user's path has 2 routes and one route has 8 points in between with 4 selectable points(with 3000m distance in between) including source and destination.
It takes 4 database queries to find nearest aqi node value.

Also the same for second route.

Refactor this to query the database in a single session and then return the results