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Published December 6, 2020

Fireplace Temperature Monitor

If you've ever wondered how hot your fireplace is, with this project you can monitor the temperature of your fireplace in real-time.

BeginnerFull instructions provided4 hours292

Things used in this project

Hardware components

Microchip MCP9700

Bryne Mica High Temperature Wire

Particle Argon

Software apps and online services

ThingSpeak API

Particle Build Web IDE

Hand tools and fabrication machines

Wire Stripper & Cutter, 18-10 AWG / 0.75-4mm² Capacity Wires

Story

Background

As winter is approaching, and temperatures drop, many will turn to their fireplace to warm themselves from the cold. However, if you want to get a better idea of just how warm your fireplace is, unfortunately, many fireplaces don't have an easy way to tell how hot the immediate area around the fireplace is. The goal of our project is to allow people to actively monitor their fireplace temperature and let the user know when their fireplace has gone above a specified threshold.

With the use of multiple devices, this project allows you to monitor the fireplace temperature, and be alerted by the argon's D7-port led so that you will always know when the area around the fireplace is warm.

The Project

For this project, the IoT Argons are programmed with 2-way communication to transmit live updating temperature data from a fireplace. Our project involves three Particle Argons, an MCP9700 Temperature Sensor (pictured below), and high-temperature resistant wire. The high-temperature resistant wire connected to the sensor is required to conduct nearby, accurate readings. However, stripped wire can work as well, it is just a bit messier.

The sensor we used in the project. As you can see, it is pretty simple for wiring.

"Particle Argon 1" contains the sensor to record that temperature. "Particle Argon 2" and "Particle Argon 3" receive the temperature data. Our setup for the main particle next to the fireplace and the secondary particles in remote locations are shown below. The sensor can be placed anywhere desired around the fireplace, just be careful to not put it directly in the flame, as the sensor still does have a 250C temperature rating!

1 / 2 • Particle Argon 1, with the sensor and wire connected to it, in the fireplace.

If data received is over 80 degrees, the secondary particles will light up solid blue on their D7 ports to let anyone nearby know that the surrounding area is very hot! Additionally, to confirm that data is received by Argons 2 and Argon 3, the D7 light on Argon 1 blinks. So if the devices are not properly connected for whatever reason, the user will know by the first device not periodically blinking. The D7 light on Argon 2 and Argon 3 will also blink as a confirmation signal that the devices are listening to events published by Argon 1. A sample picture of the second and third particle are shown below, however, these ones can be practically anywhere desired. All these devices require is an internet connection and power.

1 / 2 • Third Particle Lighting Up with incoming Data

Our Results and What to Expect

Realtime data taken by our project, as seen in the video below

This is the data obtained when we put our sensor in the fireplace. As you can see, the sensor read temperatures above 200 Celcius. The real-time graph can be found at https://thingspeak.com/channels/1235797. Below, we made a video showing all of our perspectives as we ran our code to get the data above, showing how this might look if replicated.

Video demonstration showing our project

Code

int B = A5;
int C = D7;
int previouschecktime = 0;
double temperature_celcius() {
    return (analogRead(B) *(3.3/4096) -.5)/ .01;
    // conversion from analog reading to millivolts, and manufacturer offset
} 
// Should be direct connection
#define Data_Upload_Frequency 10000

void setup() {
Particle.variable("outputTemperatureCelcius153171",temperature_celcius);
Particle.subscribe("recievedconfirmation",clean);
Particle.subscribe("ithasbeenconfirmed2",sweep);
pinMode(C, OUTPUT);
}

void loop() {
temperature_celcius();
if (previouschecktime + Data_Upload_Frequency < millis()){
    previouschecktime = millis();
    Particle.publish("temperatureproject15megr3171distinct", String(temperature_celcius()));
    }
}

void clean(const char *event, const char *data){
    if (data){
    digitalWrite(C, HIGH);
    delay(2000);
    digitalWrite(C, LOW);
    delay(8000);
    }
}

void sweep(const char *event, const char *data){
    if (data){
    delay(5000);
    digitalWrite(C, HIGH);
    delay(2000);
    digitalWrite(C, LOW);
    }
}

int B = D7;
int previouschecktime = 0;
#define Data_Upload_Frequency 10000

void setup() {
  Particle.subscribe("temperatureproject15megr3171distinct", tempsubscribe);
  pinMode(B, OUTPUT);
}

void loop() {
}

void tempsubscribe(const char *event, String data){
    int dataval;
    dataval=String(data).toInt();
    if (dataval > 80){
    digitalWrite(B, HIGH);
    }
    else{
    digitalWrite(B, HIGH);
    delay(1000);
    digitalWrite(B, LOW);
    }
    if ((previouschecktime + Data_Upload_Frequency < millis()) && (dataval)) {
    int previouschecktime = millis();
    delay(4000);
    publishdata();
    }
}

void publishdata() {
    Particle.publish("recievedconfirmation", "TemperatureRecieved1", PRIVATE); 
    }

int B = D7;
int previouschecktime = 0;
#define Data_Upload_Frequency 10000

void setup() {
  Particle.subscribe("temperatureproject15megr3171distinct", tempsubscribe);
  pinMode(B, OUTPUT);
}

void loop() {
}

void tempsubscribe(const char *event, String data){
    int dataval;
    dataval=String(data).toInt();
    if (dataval > 80){
    digitalWrite(B, HIGH);
    }
    else{
    digitalWrite(B, HIGH);
    delay(1000);
    digitalWrite(B, LOW);
    }
    if ((previouschecktime + Data_Upload_Frequency < millis()) && (dataval)) {
    int previouschecktime = millis();
    delay(7000);
    publishdata();
    }
}

void publishdata() {
    Particle.publish("ithasbeenconfirmed2", "TemperatureRecieved2", PRIVATE); 
    }

Credits

Comments

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Fireplace Temperature Monitor

Things used in this project

Hardware components

Software apps and online services

Hand tools and fabrication machines

Story

Background

Our Results and What to Expect

Schematics

Temperature Reading Particle Schematic

Both Remote / Receiving Particles

MCP 9700 Sensor Pinout Setup

Code

Temperature Reading Particle Code

First Reading Particle

Second Reading Particle

Credits

Nicholas Sekulich

Erik Pozorski

Corey Drummond

Comments

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Fireplace Temperature Monitor

Fireplace Temperature Monitor

Things used in this project

Hardware components

Software apps and online services

Hand tools and fabrication machines

Story

Background

Our Results and What to Expect

Schematics

Temperature Reading Particle Schematic

Both Remote / Receiving Particles

MCP 9700 Sensor Pinout Setup

Code

Temperature Reading Particle Code

First Reading Particle

Second Reading Particle

Credits

Nicholas Sekulich

Erik Pozorski

Corey Drummond

Comments

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