Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors

Related tags

Deep Learningpythonraspberry-pimq2smoke-detectorads1x15gas-detectorgas-sensorsmoke-sensor
Overview

Gas detection

Latest Version Total Downloads License Build Status

Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors.

Description

The MQ-2 sensor can detect multiple gases (CO, H2, CH4, LPG, propane, alcohol, smoke) and outputs analog voltage. This project can convert it to digital using ADS1015 or ADS1115 and filter out the target gases.

The sensor can be inaccurate so don't use those measurements if you need them for security purposes. Use some professional measurement device if you need to do this.

Usage

The detection class uses ADS1115 and it's I2C address 0x48 by default. It assumes the sensor is connected to P0. You can also pass them to arguments.

The ro value is about 1000, but it needs to be calibrated. This is done automatically if it is not specified. The calibration must be done in good fresh air to make measurements more accurate. Alternativly, you can save the calibration value and later pass it as ro argument.

from gas_detection import GasDetection

detection = GasDetection()

You can then read percentage of gases in parts per million (ppm). The measurements are returned as dictionary and gas be accessed by GAS_XX constant.

ppm = detection.percentage()

print('CO: {} ppm'.format(ppm[detection.CO_GAS]))
print('H2: {} ppm'.format(ppm[detection.H2_GAS]))
print('CH4: {} ppm'.format(ppm[detection.CH4_GAS]))
print('LPG: {} ppm'.format(ppm[detection.LPG_GAS]))
print('PROPANE: {} ppm'.format(ppm[detection.PROPANE_GAS]))
print('ALCOHOL: {} ppm'.format(ppm[detection.ALCOHOL_GAS]))
print('SMOKE: {} ppm\n'.format(ppm[detection.SMOKE_GAS]))

You can also look to example file for more examples. For more details how the values are calculated you can read tutorial on Raspberry Pi Tutorials.

Versioning

This library uses SemVer for versioning. For the versions available, see the tags on this repository.

License

This library is licensed under the GPLv3+ license. See the LICENSE file for details.

A lot of code has been taken from Raspberry-Pi-Gas-Sensor-MQ. Thank you @tutRPi and others who contributed to that repository.

You might also like...
A facial recognition doorbell system using a Raspberry Pi

Facial Recognition Doorbell This project expands on the person-detecting doorbell system to allow it to identify faces, and announce names accordingly

rydercalmdown 22 Apr 15, 2022
BarcodeRattler - A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC

Barcode Rattler A Raspberry Pi Powered Barcode Reader to load a game on the Mist

Chrissy 29 Oct 31, 2022
Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.
Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

Deepak Nandwani 1 Jan 1, 2022
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

YOLOv5-Lite：lighter, faster and easier to deploy Perform a series of ablation experiments on yolov5 to make it lighter (smaller Flops, lower memory, a

pogg 1.5k Jan 5, 2023
An open source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+. Including offline map and navigation.
An open source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+. Including offline map and navigation.

Pi Zero Bikecomputer An open-source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+ https://github.com/hishizuka/pizero_bikecompute

hishizuka 264 Jan 2, 2023
Axel - 3D printed robotic hands and they controll with Raspberry Pi and Arduino combo

Axel It's our graduation project about 3D printed robotic hands and they control

null 0 Feb 14, 2022
An air quality monitoring service with a Raspberry Pi and a SDS011 sensor.

Raspberry Pi Air Quality Monitor A simple air quality monitoring service for the Raspberry Pi. Installation Clone the repository and run the following

rydercalmdown 24 Dec 9, 2022
E-Ink Magic Calendar that automatically syncs to Google Calendar and runs off a battery powered Raspberry Pi Zero
E-Ink Magic Calendar that automatically syncs to Google Calendar and runs off a battery powered Raspberry Pi Zero

MagInkCal This repo contains the code needed to drive an E-Ink Magic Calendar that uses a battery powered (PiSugar2) Raspberry Pi Zero WH to retrieve

null 2.8k Dec 28, 2022
A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes.
A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes.

OMNI A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes. Why? When I finished my Kubernetes cluster using a few Raspber

Matias Godoy 148 Dec 29, 2022
Comments
  • Non percentage value

    Non percentage value

    Hi @filips123

    Thanks for the great library!

    It would be very nice to have the possibility to choose between the percentage output and maybe something more "readable" like this kind of output.

    image

    opened by goldyfruit 1
  • seems wrong calculation in adc

    seems wrong calculation in adc

    I am using 16 bit adc. Shouldn't 1023 be 2^16 ?

    def MQResistanceCalculation(self, raw_adc):
    return float(self.RL_VALUE*(1023.0-raw_adc)/float(raw_adc));
    opened by SujonBd71 1
  • OPCUA and GasDetection

    OPCUA and GasDetection

    Hello! I want to use this package for OPCUA Client and Server and I don't know how to use this module for getting value from sensor and publish this in the cloud platform. could you please help me? this is my server python code. "X" is the part for MQ2 module and I have to complete this.

    from opcua import Server import time from gas_detection import GasDetection

    X = MQ2

    server = Server() url = "opc.tcp://xxx.xxx.x.xxx:4840" server.set_endpoint(url)

    name = "OPCUA server" addSpace = server.register_namespace(name)

    node = server.get_objects_node() param = node.add_object(addSpace, "Parameters")

    var = param.add_variable(addSpace, "Variable", X) var.set_writable()

    server.start()

    try: while True:

        v = var.get_value()

    print("Variable =" .format(v))

    time.sleep(0.25)

    except KeyboardInterrupt: print('\nAborted by user!')

    opened by Shining9311 0
Releases(v1.0.1)
Owner
Filip Š
Filip Š
GitHub Repository https://pypi.org/project/gas-detection/
Benchmarks for semi-supervised domain generalization.

Semi-Supervised Domain Generalization This code is the official implementation of the following paper: Semi-Supervised Domain Generalization with Stoc

Kaiyang 49 Dec 10, 2022
2021搜狐校园文本匹配算法大赛 分比我们低的都是帅哥队

sohu_text_matching 2021搜狐校园文本匹配算法大赛Top2：分比我们低的都是帅哥队 本repo包含了本次大赛决赛环节提交的代码文件及答辩PPT，提交的模型文件可在百度网盘获取（链接：https://pan.baidu.com/s/1T9FtwiGFZhuC8qqwXKZSNA ，

hflserdaniel 43 Oct 01, 2022
Data pipelines for both TensorFlow and PyTorch!

rapidnlp-datasets Data pipelines for both TensorFlow and PyTorch ! If you want to load public datasets, try: tensorflow/datasets huggingface/datasets

1 Dec 08, 2021
Codes to calculate solar-sensor zenith and azimuth angles directly from hyperspectral images collected by UAV. Works only for UAVs that have high resolution GNSS/IMU unit.

UAV Solar-Sensor Angle Calculation Table of Contents About The Project Built With Getting Started Prerequisites Installation Datasets Contributing Lic

Sourav Bhadra 1 Jan 15, 2022
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation The code of: Context Decoupling Augmentation for Weakly Supervised Semanti

54 Dec 12, 2022
End-To-End Crowdsourcing

End-To-End Crowdsourcing Comparison of traditional crowdsourcing approaches to a state-of-the-art end-to-end crowdsourcing approach LTNet on sentiment

Andreas Koch 1 Mar 06, 2022
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Graph Wavelet Neural Network ⠀⠀ A PyTorch implementation of Graph Wavelet Neural Network (ICLR 2019). Abstract We present graph wavelet neural network

Benedek Rozemberczki 490 Dec 16, 2022
Instant neural graphics primitives: lightning fast NeRF and more

Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact

NVIDIA Research Projects 10.6k Jan 01, 2023
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding Official Pytorch implementation of Negative Sample Matter

Multimedia Computing Group, Nanjing University 69 Dec 26, 2022
PyTorch implementation for paper StARformer: Transformer with State-Action-Reward Representations.

StARformer This repository contains the PyTorch implementation for our paper titled StARformer: Transformer with State-Action-Reward Representations.

Jinghuan Shang 14 Dec 09, 2022
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations

Transfer-Learning-in-Reinforcement-Learning Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations Final Report Tra

Trung Hieu Tran 4 Oct 17, 2022
Simple transformer model for CIFAR10

CIFAR-Transformer Simple transformer model for CIFAR10. Reference: https://www.tensorflow.org/text/tutorials/transformer https://github.com/huggingfac

9 Nov 07, 2022
Caffe models in TensorFlow

Caffe to TensorFlow Convert Caffe models to TensorFlow. Usage Run convert.py to convert an existing Caffe model to TensorFlow. Make sure you're using

Saumitro Dasgupta 2.8k Dec 31, 2022
CaLiGraph Ontology as a Challenge for Semantic Reasoners ([email protected]'21)

CaLiGraph for Semantic Reasoning Evaluation Challenge This repository contains code and data to use CaLiGraph as a benchmark dataset in the Semantic R

Nico Heist 0 Jun 08, 2022
This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).

NeurIPS 2021 (Spotlight): Task-Adaptive Neural Network Search with Meta-Contrastive Learning This is an official PyTorch implementation of Task-Adapti

Wonyong Jeong 15 Nov 21, 2022
A PyTorch-based library for fast prototyping and sharing of deep neural network models.

A PyTorch-based library for fast prototyping and sharing of deep neural network models.

78 Jan 03, 2023
Official implementation of deep Gaussian process (DGP)-based multi-speaker speech synthesis with PyTorch.

Multi-speaker DGP This repository provides official implementation of deep Gaussian process (DGP)-based multi-speaker speech synthesis with PyTorch. O

sarulab-speech 24 Sep 07, 2022
Resources related to our paper "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain"

CLIN-X (CLIN-X-ES) & (CLIN-X-EN) This repository holds the companion code for the system reported in the paper: "CLIN-X: pre-trained language models a

Bosch Research 4 Dec 05, 2022
Style transfer, deep learning, feature transform

FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons

NVIDIA Corporation 10.9k Jan 02, 2023
Classification Modeling: Probability of Default

Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information

Aktham Momani 2 Nov 07, 2022