#!/usr/bin/env python3
# dweet data
import serial
import datetime
import time
import requests
import pandas as pd
import plotly.express as px
count = 0
if __name__ == '__main__':
ser = serial.Serial('/dev/ttyUSB0', 9600, timeout=1)
ser.reset_input_buffer()
while count < 5:
time.sleep(1)
count += 1
print(f'count is {count}')
if ser.in_waiting > 0:
print("Serial")
line = ser.readline().decode('utf-8').rstrip()
print(line)
#print(f"Data separated using commas {line.split(',')}")
#mylist = line.split(',')
try:
aq_temp = str(line)
except:
aq_temp = 0.0
print(f'temperature is {aq_temp}')
time.sleep(1)
now = datetime.datetime.now()
date_stamp = now.strftime("%Y-%m-%d %H:%M:%S")
data = ""
data = date_stamp + "," + str(line) + '\n'
print(f'The data is = {data}')
f = open('/home/pi/Aquarium/aquarium_data.txt','a')
f.write(data)
f.close()
print("Data saved")
try:
print("Preparing dweet")
dweet_dict = {}
dweet_dict.update({"aq_temp": str(aq_temp)})
dweet_dict.update({"time": str(date_stamp)})
url = "https://dweet.io/dweet/for/MPPS-Mernda-STEM-aquarium-4?"
x = requests.post(url, json=dweet_dict)
print(x.text)
count = 6
except:
print("Dweet failed")
# check dweet with - https://dweet.io/get/latest/dweet/for/3083-Bundoora-aquarium1
# Step 2: Read the data from the text file into a Pandas DataFrame
data = pd.read_csv('/home/pi/Aquarium/aquarium_data.txt')
# Step 3: Create a Plotly figure with two scatter plots
fig = px.scatter(data, x='datetime', y=['temperature'],
labels={'datetime': 'Date and Time', 'value': 'Temperature (°C)'},
title='Aquarium temperature')
# Step 4: Customize the plot layout
fig.update_layout(xaxis_title='Date and Time', yaxis_title='Temperature (°C)')
# Step 5: Save the plot as an HTML file
fig.write_html('/home/pi/Aquarium/temperature_plot_aquarium.html')
print("Aquarium plot saved as temperature_plot.html")
#include <SoftwareSerial.h>
#include <OneWire.h>
#include <DallasTemperature.h>
#define rx 10 //define what pin rx is going to be
#define tx 11 //define what pin tx is going to be
#define ONE_WIRE_BUS 4 // Data wire is conntec to the Arduino digital pin 4
SoftwareSerial myserialDO(rx, tx); //define how the soft serial port is going to work
// Setup a oneWire instance to communicate with any OneWire devices
OneWire oneWire(ONE_WIRE_BUS);
// Pass our oneWire reference to Dallas Temperature sensor
DallasTemperature tempSensor(&oneWire);
String inputstring = ""; //a string to hold incoming data from the PC
String sensorstring = ""; //a string to hold the data from the Atlas Scientific product
void setup() { //set up the hardware
Serial.begin(9600); //set baud rate for the hardware serial port_0 to 9600
myserialDO.begin(9600); //set baud rate for the software serial port to 9600
sensorstring.reserve(30); //set aside some bytes for receiving data from Atlas Scientific product
}
void loop() { //here we go...
if (myserialDO.available() > 0) { //if we see that the Atlas Scientific product has sent a character
char inchar = (char)myserialDO.read(); //get the char we just received
if (inchar == '\r') { //if the incoming character is a <CR>
// Call sensors.requestTemperatures() to issue a global temperature and Requests to all devices on the bus
tempSensor.requestTemperatures();
float temperatureValue = tempSensor.getTempCByIndex(0);
Serial.print(sensorstring);
Serial.print(",");
Serial.println(String(temperatureValue, 1)); // Print with 1 decimal places
sensorstring = "";
delay(1000); // Delay for stability
}
else {
sensorstring += inchar; //add the char to the var called sensorstring
}
}
}
#!/usr/bin/env python3
# dweet data
import serial
import datetime
import time
import requests
import pandas as pd
import plotly.express as px
count = 0
if __name__ == '__main__':
ser = serial.Serial('/dev/ttyUSB1', 9600, timeout=1)
ser.reset_input_buffer()
while True:
count = count + 1
time.sleep(0.1)
if ser.in_waiting > 0:
try:
line = ser.readline().decode('utf-8').rstrip()
except:
line = "0,0"
print(f"Data separated using commas {line.split(',')}")
mylist = line.split(',')
print(f'My list {mylist}')
try:
dissolvedOxygen = float(mylist[0])
temperature = float(mylist[1])
except:
dissolvedOxygen = 0.0
temperature = 0.0
print(f'dissolvedOxygen is {dissolvedOxygen} and temp is {temperature}')
time.sleep(1)
now = datetime.datetime.now()
date_stamp = now.strftime("%Y-%m-%d %H:%M:%S")
data = ""
data = date_stamp + "," + str(dissolvedOxygen) + "," + str(temperature) + '\n'
print(f'The data is = {data}')
if count > 2000:
f = open('/home/pi/Aquarium/aquarium_DO_temp.txt','a')
f.write(data)
f.close()
print("Data saved")
try:
print("Preparing dweet")
dweet_dict = {}
dweet_dict.update({"dissolvedOx": str(dissolvedOxygen)})
dweet_dict.update({"temp": str(temperature)})
dweet_dict.update({"time": str(date_stamp)})
url = "https://dweet.io/dweet/for/3083-Bundoora-aquarium1?"
x = requests.post(url, json=dweet_dict)
print(x.text)
except:
print("Dweet failed")
count = 0
# check dweet with - https://dweet.io/get/latest/dweet/for/3083-Bundoora-aquarium1
# Step 2: Read the data from the text file into a Pandas DataFrame
data = pd.read_csv('/home/pi/Aquarium/aquarium_DO_temp.txt')
# Step 3: Create a Plotly figure with two scatter plots
fig = px.scatter(data, x='datetime', y=['temperature','dissolvedOxygen'],
labels={'datetime': 'Date and Time', 'value': 'Temperature (°C)'},
title='Aquarium temperature and DO')
# Step 4: Customize the plot layout
fig.update_layout(xaxis_title='Date and Time', yaxis_title='Temperature (°C)')
# Step 5: Save the plot as an HTML file
fig.write_html('/home/pi/Aquarium/temperature_plot_DO_aquarium.html')
print("Aquarium plot saved as temperature_plot.html")