Embedded Lab

In the past couple years, the ESP8266 platform has flourished dramatically and emerged as one of the most popular hardware tools among electronics hobbyists and IoT enthusiasts. Packed with a 32-bit RISC CPU running at 80 MHz, a fully integrated WiFi radio with TCP/IP protocol stack, serial peripherals (I2C, SPI, and UART), an ADC channel, and general purpose I/O pins, the ESP8266 is the most integrated and affordable WiFi solution available in the current IoT market space. An ESP8266 hardware, like NodeMCU and ESP-01, can directly interface with sensors using its peripherals and upload the sensor measurements to a local or a remote web server via internet. Right now, there are already quite a bit of cloud IoT platforms (ThingSpeak, thinger.io, TESPA.io, Xively, … the list is getting bigger everyday) that provides APIs and tools to allow the ESP8266 users to directly upload their sensor readings online for real-time visualization and global access. If you are a regular user of Google Drive, like me, you would find a Google sheet more approachable than all those IoT cloud platforms. In this tutorial, I will describe a method of connecting the ESP8266 device directly to a Google sheet for storing the sensor data without using any third party plugin. For illustration, I am using a NodeMCU board that reads the analog output from a soil moisture sensor inserted into one my flower pots and directly connects to a spreadsheet on my Google Drive for storing the data.

ESP8266 data logging to Google spreadsheets

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