Showing posts with label arduino. Show all posts
Showing posts with label arduino. Show all posts

Tuesday, February 4, 2020

Send Line notification from ESP8266 when PM2.5 is too high

Introduction


Low-cost (US$19) Air Quality Monitoring System with Line notification


Purpose


The aim of this project is to receive Line notification when air quality is higher than certain level from Wemos. It uses PMS7003 sensor to measure air quality and visualizes the result with Google Chart API. Air quality measurement data is presented in gauge type. We can check current status via web browser using WiFi connection.

Features


This project is based on our previous project named "IoT Laboratory: ESP8266-based WiFi air quality monitoring system using PMS7003 sensor with Google Chart visualization." It adds Line notification functionality to notify user when the level of air quality hits a certain level which is specified by the user in the source code. The entire process for sending Line notification is like below. Wemos sends HTTP POST request to Line Notify website, then, the message will be delivered to our Line messenger.


For web server, we use ESPAsyncWebServer library and it is available at github. Additionally, we need to install EPS8266 Sketch Data Upload to upload web server related files to Wemos. For example, in this project, we use HTML, CSS files under data directory. In other words, we need to upload sketch and web related files separately.

Prerequisites


- Arduino IDE
- ESP8266 package for Arduino IDE
- EPS8266 Sketch Data Upload
- ESPAsyncTCP Library
- ESPAsyncWebServer Library
- Line account and Token

Requirements


Hardware
-Wemos D1 mini : US$1.77 on Aliexpress
-PMS7003 air quality sensor : US$16.80 on Aliexpress

Instructions


Step 1. Setup hardware

PMS7003 sensor comes with a small breakout board, which has TX, RX, VCC, GND pins. Connect TX of PMS7003 to D5 of Wemos, RX to D6, VCC to 5V, and GND to G. Finally, connect micro usb to Wemos for uploading firmware, and check serial monitor and serial plotter in Android IDE to make sure the sensor works correctly.



Step 2. Create Line account and Token for notification

To be able to receive Line notification, we need to get a token from Line Notify website and put it in our source sketch. Useful tutorial on how to create a token is available at https://engineering.linecorp.com/en/blog/using-line-notify-to-send-messages-to-line-from-the-command-line/. Take a good look at it to understand basic procedure to create a token.

First, login to the LINE Notify website


Click "My page"


Click "Generate token"


Important! Then, type any name for the token and choose who will receive Line notification. We can choose a single recipient or group. For testing purpose, let's choose myself here, then it will send notification only to me.

Step 3. Upload sketch to Wemos D1 mini

This step is to upload sketch to Wemos as usual. In the following sketch, following values need to be modified with your own.

- WIFI_SSID  : Name of WiFi router
- WIFI_PASS  : Password of WiFi router
- LINE_TOKEN : Token string from Line Notify website

 In this example sketch, it send Line notification only when PM2.5 hit 20 or higher. And before sending again it waits 10 minutes. These values can be changed by user.

- notifyLevel : PM2.5 threshold for Line notification
- interval    : Waiting time (specify in milliseconds)



 Step 4. Upload data to Wemos D1 mini

This step is to upload web server related files (HTML, CSS) to Wemos. These files are located in directory named data. Click "ESP8266 Sketch Data Upload" under Tools menu in Arduino IDE to upload these files to Wemos. Once it shows the measurement data, it will refresh every 3 seconds automatically.

HTML file

On web interface, the size of gauge is defined in width, height of options variable. Just change these values to customize chart size. And if you want to modify refresh rate, change the value of 30000 in setInterval function to other value.

CSS file


Results


After uploading firmware, Wemos restarts itself automatically. Once Wemos D1 mini has restarted, serial monitor shows a welcome message, PM2.5 threshold, and waiting period. When PM2.5 is higher than threshold it will send Line notification to the user as below.


One Wemos sends notification, Line messenger will show you the content of it as below. Notice that "Air quality" in the message is actually the token name we typed when the token was created.


Use web browser to connect to the device, then it will show current time and visualized information, which is based on Google Chart API. It will refresh itself every 3 seconds automatically.


References

Source codes at github
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ESP8266-based WiFi air quality monitoring system using PMS7003 sensor with Google Chart visualization

Introduction


Low-cost (US$19) WiFi Air Quality Monitoring System with Google Chart visualization



Purpose


The aim of this project is to use PMS7003 sensor to measure air quality and visualize the result with Google Chart API. Air quality measurement data is presented in gauge type. We can check current status via web browser using WiFi connection.

Features


This project is based on our previous project named "ESP8266-based air quality monitoring system using PMS7003 sensor". It adds web server functionality to offer web-based user interface, which is based on Google Chart API to visualize measured air quality data. For web server, we use ESPAsyncWebServer library and it is available at github. Additionally, we need to install EPS8266 Sketch Data Upload to upload web server related files to Wemos. For example, in this project, we use HTML, CSS files under data directory. In other words, we need to upload sketch and web related files separately.

Prerequisites


- Arduino IDE
- ESP8266 package for Arduino IDE
- EPS8266 Sketch Data Upload
- ESPAsyncTCP Library
- ESPAsyncWebServer Library

Requirements


Hardware
-Wemos D1 mini : US$1.77 on Aliexpress
-PMS7003 air quality sensor : US$16.80 on Aliexpress

Instructions


Step 1. Setup hardware

PMS7003 sensor comes with a small breakout board, which has TX, RX, VCC, GND pins. Connect TX of PMS7003 to D5 of Wemos, RX to D6, VCC to 5V, and GND to G. Finally, connect micro usb to Wemos for uploading firmware, and check serial monitor and serial plotter in Android IDE to make sure the sensor works correctly.



Step 2. Upload sketch to Wemos D1 mini

This step is to upload sketch to Wemos as usual. In the following sketch, two values need to be modified with your own.

- WIFI_SSID : Name of WiFi router
- WIFI_PASS : Password of WiFi router

Step 3. Upload data to Wemos D1 mini

This step is to upload web server related files (HTML, CSS) to Wemos. These files are located in directory named data. Click "ESP8266 Sketch Data Upload" under Tools menu in Arduino IDE to upload these files to Wemos. Once it shows the measurement data, it will refresh every 3 seconds automatically.

HTML file

The size of gauge is defined in width, height of options variable. Just change these values to customize chart size. And if you want to modify refresh rate, change the value of 30000 in setInterval function to other value.

CSS file


Results


After uploading firmware, Wemos restarts itself automatically. Once Wemos D1 mini has restarted, serial monitor shows welcome message as below. Remember IP address of Wemos to connect it via web browser.



Use web browser to connect to the device, then it will show current time and visualized information, which is based on Google Chart API. It will refresh itself every 3 seconds automatically.




References

Source codes at github
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Monday, February 3, 2020

ESP8266-based WiFi MQTT air quality monitoring system using PMS7003 sensor

Introduction


Low-cost (US$19) MQTT Air Quality Monitoring System





Purpose


The aim of this project is to use PMS7003 sensor to measure air quality and publish data to MQTT broker.

Features


This project is based on our previous project named "ESP8266-based air quality monitoring system using PMS7003 sensor". It adds MQTT functionality to publish measured data to the MQTT broker. Especially, io.adafruit.com offers a free account, which is good enough for prototyping IoT device easily.

Prerequisites


- Arduino IDE
- Adafruit MQTT Library(We can install this from Library Manager in Arduino IDE)
- ESP8266 package for Arduino IDE
- io.adafruit.com free account

Requirements


Hardware
-Wemos D1 mini : US$1.77 on Aliexpress
-PMS7003 air quality sensor : US$16.80 on Aliexpress

Instructions


Step 1. Setup hardware

PMS7003 sensor comes with a small breakout board, which has TX, RX, VCC, GND pins. Connect TX of PMS7003 to D5 of Wemos, RX to D6, VCC to 5V, and GND to G. Finally, connect micro usb to Wemos for uploading firmware, and check serial monitor and serial plotter in Android IDE to make sure the sensor works correctly.



Step 2. Create io.adafruit.com free account and feeds. Additionally, create a dashboard to show the value of feeds.

In this project, we will create  3 feeds. Each feed stores value for PM1.0, PM2.5, and PM10.0, respectively. We will use the 'Key' of each feed in our sketch to publish new value to MQTT broker.



After creating feeds, click 'AIO Key' menu to find out IO_USERNAME and IO_KEY value, which we will use in our sketch.

Step 3. Upload sketch to Wemos D1 mini

In the following sketch, four values need to be modified with your own.

- WIFI_SSID    : Name of WiFi router
- WIFI_PASS    : Password of WiFi router
- AIO_USERNAME : Value of 'IO_USERNAME' of MQTT broker
- AIO_KEY      : Value of 'IO_KEY' of the MQTT broker

 For WiFi feature, three functions are added to the sketch of our previous project.

- connectWifi() : Connect to WiFi router
- connectMQTT() : Connect to MQTT broker
- publishMQTT() : Publish to MQTT broker


Results


After uploading firmware, Wemos restarts itself automatically. Once Wemos D1 mini has restarted, serial monitor shows air quality data from PMS7003 every 5 minutes. In the following serial console output, it shows MQTT server is connected and published 3 feeds successfully.




On MQTT broker website, we can check the data which is sent from device. In the menu, go 'Feeds', then, click the name of feed to see the line graph of published value.



Additionally, we can create a dashboard to display all related feeds in a single screen such as following screenshot. In the dashboard, it shows value of PM1.0, PM2.5 and PM10.0 altogether.



References


Source codes at github
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ESP8266-based WiFi air quality monitoring system using PMS7003 sensor

Introduction


Low-cost (US$19) WiFi Air Quality Monitoring System



Purpose


The aim of this project is to use PMS7003 sensor to measure air quality and transmit data to ThingSpeak IoT cloud platform via WiFi.

Features


This project is based on our previous project named "ESP8266-based air quality monitoring system using PMS7003 sensor". It adds WiFi functionality to send measured data to the IoT cloud. Especially, ThingSpeak offers a free account, which is good enough for prototyping IoT device easily.

Prerequisites


- Arduino IDE
- ESP8266 package for Arduino IDE
- ThingSpeak free account

Requirements


Hardware
-Wemos D1 mini : US$1.77 on Aliexpress
-PMS7003 air quality sensor : US$16.80 on Aliexpress

Instructions


Step 1. Setup hardware

PMS7003 sensor comes with a small breakout board, which has TX, RX, VCC, GND pins. Connect TX of PMS7003 to D5 of Wemos, RX to D6, VCC to 5V, and GND to G. Finally, connect micro usb to Wemos for uploading firmware, and check serial monitor and serial plotter in Android IDE to make sure the sensor works correctly.



Step 2. Create ThingSpeak free account and channel

In this project, we will create a channel with 3 fields. Each field stores value for PM1.0, PM2.5, and PM10.0, respectively.



After creating a channel, click 'API Keys' menu to find out 'Write API Key' value, which we will use in our sketch.



Step 3. Upload sketch to Wemos D1 mini

In the following sketch, three values need to be modified with your own.

- WIFI_SSID : Name of WiFi router
- WIFI_PASS : Password of WiFi router
- TS_KEY    : Value of 'Write API Key' of the channel

 For WiFi feature, two functions are added to the sketch of our previous project.

- connectWifi() : Connect to WiFi router
- uploadCloud() : Upload measured data to ThingSpeak cloud using HTTP GET request




Results


After uploading firmware, Wemos restarts itself automatically. Once Wemos D1 mini has restarted, serial monitor shows air quality data from PMS7003 every 5 minutes. In the following serial console output, it shows a HTTP GET request and response from ThingSpeak.


On ThingSpeak website, we can check the data which is sent from device. In the menu, go 'Channels/My channels', then, click 'Private' submenu of the channel. By default, it will show you line graph of each individual field. By clicking 'Add Widgets' menu, you can create a gauge widget as well. For example, in the following screenshot, the bottom right gauge is added manually to make it easier to read for users.




References



Source codes at github
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Sunday, February 2, 2020

ESP8266-based air quality monitoring system using PMS7003 sensor

Introduction


Low-cost (US$19) Air Quality Monitoring System




Purpose


The aim of this project is to use PMS7003 sensor without 3rd party library. Additionally, it allows delay function in the loop and demonstrates how to communicate with sensor via software serial.

Features


- delay function : Some example codes on Internet do not work with delay in loop and generate endless checksum error. That is caused by serial buffer overflow between PMS7003 and Wemos. To avoid the issue, this project incorporates preamble searching mechanism to locate exact data stream in the serial buffer. Therefore, we are able to use various value in delay function without checksum error.

Prerequisites


- Arduino IDE
- ESP8266 package for Arduino IDE

Requirements


Hardware
-Wemos D1 mini : US$1.77 on Aliexpress
-PMS7003 air quality sensor : US$16.80 on Aliexpress

Instructions


Step 1. Setup hardware

PMS7003 sensor comes with a small breakout board, which has TX, RX, VCC, GND pins. Connect TX of PMS7003 to D5 of Wemos, RX to D6, VCC to 5V, and GND to G. Finally, connect micro usb to Wemos for uploading firmware, and check serial monitor and serial plotter in Android IDE to make sure the sensor works correctly.




Step 2. Upload sketch to Wemos D1 mini



Results


After uploading firmware, Wemos restarts itself automatically. Once Wemos D1 mini has restarted, serial monitor shows air quality data from PMS7003 every 2 seconds. On the output, each line consists of PM1.0, PM2.5, and PM10 measurement. For example, the last line of the output says PM1.0 is 15 μg/m³, PM2.5 is 20 μg/m³, and PM10.0 is 22 μg/m³.


Using serial plotter of Arduino IDE we can see a graph of these three values in a single plot. In the graph, Green line represents PM1.0, Red line represents PM2.5, and Green line represents PM10.0.



References


Source codes at github
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Friday, June 12, 2015

ESP8266 based Wifi weather monitoring system


Introduction


Low-cost Wireless Weather Monitoring System

Purpose


This system transmits temperature and humidity data to cloud on internet via Wifi and provides web interface to monitor those measured information.

In this system, ESP8266 reads data from DHT22 sensor, then, send it to data.sparkfun.com cloud system using simple HTTP protocol. For web interface, all charts are implemented with Google Chart APIs. 

Prerequisites


- Arduino IDE
- ESP8266 package for Arduino IDE (*Refer to http://hpclab.blogspot.com/2015/06/esp8266-arduino-ide-on-mac-os-x.html for more information)

Compiling and uploading is done in Arduino IDE with ESP8266 package installed. Therefore, basic knowledge about Arduino IDE is required to proceed following steps.   

Requirements

Hardware


-ESP8266 ( Around $3 on ebay )
-DHT22 ( Around $7 on eBay )
-Resistor 10k(Pull up)

To keep the cost low, ESP8266 is used as not only controller, but also Wifi transmitter. DHT22 sensor can be replaced by any other temperature sensor. Pull up resistor is used for the input pin of ESP8266.

Software


-data.sparkfun.com
-Google Chart 

We used data.sparkfun.com cloud system to store measured data with two reasons. First, it provides free service and even does not require any account. We just need to create a 'free stream', which is basically a storage area. Secondly, it's easy to use. A single HTTP GET request can send measured data to cloud.

For web interface, Google Chart is used to draw gauge and graph to show historical change of temperature, humidity, and heat index.

Instructions


Setup hardware

For uploading


Here is a wiring information to upload sketch to ESP8266 using USB to TTL converter. Since my converter is 5v version, I used another power supply to provide 3.3v to ESP8266. GPIO 0 should be pulled down to the ground for uploading.

 BE CAREFUL! ESP8266 works with only 3.3v, not 5v!


For running


Connect ESP8266 to DHT22 temperature sensor. GPIO 2 pin of ESP8266 is used to read measured data of DHT22.



Step 1. Create 'free data stream' at data.sparkfun.com


Visit https://data.sparkfun.com/ and click 'CREATE' menu to create a 'free data stream'. It's like an identifier for your data to read and write. One interesting feature of data.sparkfun.com is that it doesn't require you to create or activate any account. Just create 'free data stream'. Just remember that no more than 100 requests within 15 minutes window are allowed. On average, one request is allowed every 9 seconds. Check here for detail.


Among several fields in the creation form, 'Fields' and 'Stream Alias' are important. Fields are actual variable name for data when you send it with HTTP GET request. 'Stream Alias' is a name which can be used in URL to retrieve data from cloud.


Once you finish creating 'stream', it provides several information such as private key, public key and simple instructions on how to send and retrieve data. Don't loose them, you need them to proceed to the next step.

Step 2. Upload Sketch


For this step, you need those information at hand,

-SSID & Password of you Access Point
-List of field names you typed in 'Fields' in the creation form in Step 1
-Public Key from Step 1
-Private Key from Step 1

In this example, we used 3 fields to send data to cloud,

-temp: for temperature value measured in DHT22
-hum: for humidity value measured in DHT22
-hidx: for heat index calculated in the sketch

HTTP GET request for sending data looks like this,

data.sparkfun.com/input/YOUR_PUBLIC_KEY?private_key=YOUR_PRIVATE_KEY&temp=82.04&hum=53.10&hidx=83.29

Modify those values in the sketch according to your configuration. Then, compile and upload to ESP8266 using USB to TTL converter. If you face errors on Mac machine, refer to http://hpclab.blogspot.com/2015/06/esp8266-arduino-ide-on-mac-os-x.html for solution.

Once finish uploading, open 'Serial Monitor' in Arduino IDE, then you will see something like this,


To verify whether the data has been transmitted and stored in cloud without error, type this URL in web browser.

https://data.sparkfun.com/streams/YOUR_PUBLIC_KEY

You will see this kind of output if everything has gone well.



Step 3. Create HTML file


For this step, you need this information at hand,

-Public key from Step 1

Modify the value of public_key to your own key in example HTML file for web interface. Basically, it retrieves data in JSON format from cloud, then pass it to Google Chart API for drawing chart. In this example, gauge chart and line chart are used for demonstration.


Results


Open HTML file with web browser, then you will see this chart right away. If you would like to access web interface from anywhere in the world, then, just upload this HTML file to your web site. It does not require any additional files or libraries or anything, just one single HTML file.  That's it!


References

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Monday, June 1, 2015

Arduino implementation of La Crosse TX6U

Introduction

Arduino implementation of La Crosse TX6U Remote Temperature Sensor with Arduino Uno, DHT22 temperature humidity sensor, 433Mhz Transmitter.



Purpose

Low cost remote temperature sensor comaptible with La Crosse Weather Station
Source at github

La Crosse Weather Station WS-9016U

WS-9016U consists of Indoor Weather Station(WS-9016U) and Remote Temperature Sensor(TX6U)
Acording to WS-9016U & TX6U manual,
  • Power up remote sensor first, then, power up base station
  • Range of 80 feet

WS-9016U Indoor Weather Station,

  • can have up to 3 remote sensors

TX6U Remote Temperature Sensor,

  • transmits temperature every 1 minute

Parts

Hardware

  • Arduino Uno
  • DHT22 Temperature Humidity Sensor
  • 433Mhz Transmitter
  • 10k resistor(pull up)
  • Breadboard

Software

Wiring

Testing

License and Credits

tx6u-arduino is based on Adafruit's DHT library and jremington's TX6U_send.ino source code.
tx6u-arduino is distributed under GPL License.

Reference

Source at github
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