- Arduino Data Acquisition Into Excel For Mac Pdf
- Arduino Data Acquisition Into Excel For Mac Pro
- Arduino Data Acquisition Into Excel For Mac Pro
PLX-DAQ is a Parallax microcontroller data acquisition add-on tool for Microsoft Excel. Any of our microcontrollers connected to any sensor and the serial port of a PC can now send data directly into Excel. PLX-DAQ has the following features: Plot or graph data as it arrives in real-time using Microsoft Excel. There are some differences between Arduino models in terms of pin locations and operating voltage, but once you have an UNO-based logger recording sensor data, you should be able to transfer that code into to a Pro-Mini based build with few (if any) changes to the programming.
We know that Arduino allows to acquire data in the analog input. We can use Excel to store data in a sheet and display it in a graph using an application available on the network called PLX-DAQ (Parallax Data Acquisition), but this software doesn't work under Windows 10 and is no longer supported. So we can found a new version of PLX-DAQ re-written by NetDevil, an Arduino forum's member, to be able to be run on modern systems.
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To collect data from our experiment, we can open the PLX-DAQ-v2.11.xlsm worksheet which contains a macro that allows us to save the data from the USB in Excel. To do this, we need to open PLX DAQ clicking on the respectively button and in the popup that the software opens we choose the USB Port to which Arduino is connected. Before clicking on the Connect button, we have to open Arduino IDE and use the sketch that is reported below, or use that is provided with PLX-DAQ software distribution.
To collect data from our experiment, we can open the PLX-DAQ-v2.11.xlsm worksheet which contains a macro that allows us to save the data from the USB in Excel. To do this, we need to open PLX DAQ clicking on the respectively button and in the popup that the software opens we choose the USB Port to which Arduino is connected. Before clicking on the Connect button, we have to open Arduino IDE and use the sketch that is reported below, or use that is provided with PLX-DAQ software distribution.
Arduino Data Acquisition Into Excel For Mac Pdf
#define sensorPin A0 // select the input pin for the potentiometer
int sensorValue = 0; // variable to store the value coming from the sensor 0-1023
float sensorVoltage = 0; // variable to store the voltage coming from the sensor 0-5V
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Serial.begin(9600);
Serial.println('CLEARDATA');
Serial.println('LABEL,t,A0');
}
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void loop() {
// read the value from the sensor
sensorValue = analogRead(sensorPin);
// calculate voltage
sensorVoltage = sensorValue*5.0/1023.0;
// send value to USB
Serial.print('DATA,TIME,');
Serial.println(sensorVoltage);
// delay 100ms
delay(100);
}
Arduino Data Acquisition Into Excel For Mac Pro
Let's load this sketch in Arduino, which will send data read from the analog port A0 on the USB, associating them with the instant of acquisition time. We have programmed the Serial.print instructions according to the modality proposed by PLX-DAQ (see the reactive help for more details).
Arduino transforms all the signals that it receives on analogue pins into levels between 0 and 1023, so it is our task to enter in the sketch the calculations necessary to return the correct interpretation to the numerical values obtained. In this case the range 0÷1023 represents the voltages between 0÷5V, so we insert the instruction: sensorVoltage = sensorValue*5.0/1023.0
Arduino transforms all the signals that it receives on analogue pins into levels between 0 and 1023, so it is our task to enter in the sketch the calculations necessary to return the correct interpretation to the numerical values obtained. In this case the range 0÷1023 represents the voltages between 0÷5V, so we insert the instruction: sensorVoltage = sensorValue*5.0/1023.0
Arduino Data Acquisition Into Excel For Mac Pro
Before activating PLX-DAQ, we select column B and we assign a 2-Dline type graph to it. Black and white 2 download. In this way, in addition to the data collection, we can see the temporary trend of the signal on the graph.
All versions of PLX-DAQ work good with Excel 2016.
All versions of PLX-DAQ work good with Excel 2016.