Additional examples for specific h/w by our interns (#171)

adc/microphone_adc - Read analog values from a microphone and plot the measured sound amplitude.
i2c/bmp280_i2c - Read and convert temperature and pressure data from a BMP280 sensor, attached to an I2C bus.
i2c/lis3dh_i2c - Read acceleration and temperature value from a LIS3DH sensor via I2C
i2c/mcp9808_i2c - Read temperature, set limits and raise alerts when limits are surpassed.
i2c/mma8451_i2c - Read acceleration from a MMA8451 accelerometer and set range and precision for the data.
i2c/mpl3115a2_i2c - Interface with an MPL3115A2 altimeter, exploring interrupts and advanced board features, via I2C.
i2c/oled_i2c - Convert and display a bitmap on a 128x32 SSD1306-driven OLED display
i2c/pa1010d_i2c - Read GPS location data, parse and display data via I2C.
i2c/pcf8523_i2c - Read time and date values from a real time clock. Set current time and alarms on it.
uart/lcd_uart - Display text and symbols on a 16x02 RGB LCD display via UART
This commit is contained in:
Graham Sanderson
2021-10-25 12:30:57 -05:00
committed by GitHub
parent fabb762f75
commit 6e647c6f26
59 changed files with 2440 additions and 0 deletions

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add_executable(microphone_adc
microphone_adc.c
)
# pull in common dependencies and adc hardware support
target_link_libraries(microphone_adc pico_stdlib hardware_adc)
# create map/bin/hex file etc.
pico_add_extra_outputs(microphone_adc)
# add url via pico_set_program_url
example_auto_set_url(microphone_adc)

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= Attaching a microphone using the ADC
This example code shows how to interface the Raspberry Pi Pico with a standard analog microphone via the onboard analog to digital converter (ADC). In this example, we use an ICS-40180 breakout board by SparkFun but any analog microphone should be compatible with this tutorial. SparkFun have https://learn.sparkfun.com/tutorials/mems-microphone-hookup-guide[written a guide] for this board that goes into more detail about the board and how it works.
[TIP]
======
An analog to digital converter (ADC) is responsible for reading continually varying input signals that may range from 0 to a specified reference voltage (in the Pico's case this reference voltage is set by the supply voltage and can be measured on pin 35, ADC_VREF) and converting them into binary, i.e. a number that can be digitally stored.
======
The Pico has a 12-bit ADC (ENOB of 8.7-bit, see https://datasheets.raspberrypi.com/rp2040/rp2040-datasheet.pdf[RP2040 datasheet section 4.9.3 for more details]), meaning that a read operation will return a number ranging from 0 to 4095 (2^12 - 1) for a total of 4096 possible values. Therefore, the resolution of the ADC is 3.3/4096, so roughly steps of 0.8 millivolts. The SparkFun breakout uses an OPA344 operational amplifier to boost the signal coming from the microphone to voltage levels that can be easily read by the ADC. An important side effect is that a bias of 0.5*Vcc is added to the signal, even when the microphone is not picking up any sound.
The ADC provides us with a raw voltage value but when dealing with sound, we're more interested in the amplitude of the audio signal. This is defined as one half the peak-to-peak amplitude. Included with this example is a very simple Python script that will plot the voltage values it receives via the serial port. By tweaking the sampling rates, and various other parameters, the data from the microphone can be analysed in various ways, such as in a Fast Fourier Transform to see what frequencies make up the signal.
[[microphone_adc_plotter_image]]
[pdfwidth=75%]
.Example output from included Python script
image::microphone_adc_plotter.png[]
== Wiring information
Wiring up the device requires 3 jumpers, to connect VCC (3.3v), GND, and AOUT. The example here uses ADC0, which is GP26. Power is supplied from the 3.3V pin.
WARNING: Most boards will take a range of VCC voltages from the Pico's default 3.3V to the 5 volts commonly seen on other microcontrollers. Ensure your board doesn't output an analogue signal greater than 3.3V as this may result in permanent damage to the Pico's ADC.
[[ics-40180-adc_wiring]]
[pdfwidth=75%]
.Wiring Diagram for ICS-40180 microphone breakout board.
image::microphone_adc_bb.png[]
== List of Files
CMakeLists.txt:: CMake file to incorporate the example in to the examples build tree.
microphone_adc.c:: The example code.
== Bill of Materials
.A list of materials required for the example
[[ics-40180-adc-bom-table]]
[cols=3]
|===
| *Item* | *Quantity* | Details
| Breadboard | 1 | generic part
| Raspberry Pi Pico | 1 | https://www.raspberrypi.com/products/raspberry-pi-pico/
| ICS-40180 microphone breakout board or similar | 1 | https://www.sparkfun.com/products/18011[From SparkFun]
| M/M Jumper wires | 3 | generic part
|===

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/**
* Copyright (c) 2021 Raspberry Pi (Trading) Ltd.
*
* SPDX-License-Identifier: BSD-3-Clause
*/
#include <stdio.h>
#include "pico/stdlib.h"
#include "hardware/gpio.h"
#include "hardware/adc.h"
#include "hardware/uart.h"
#include "pico/binary_info.h"
/* Example code to extract analog values from a microphone using the ADC
with accompanying Python file to plot these values
Connections on Raspberry Pi Pico board, other boards may vary.
GPIO 26/ADC0 (pin 31)-> AOUT or AUD on microphone board
3.3v (pin 36) -> VCC on microphone board
GND (pin 38) -> GND on microphone board
*/
#define ADC_NUM 0
#define ADC_PIN (26 + ADC_NUM)
#define ADC_VREF 3.3
#define ADC_RANGE (1 << 12)
#define ADC_CONVERT (ADC_VREF / (ADC_RANGE - 1))
int main() {
stdio_init_all();
printf("Beep boop, listening...\n");
bi_decl(bi_program_description("Analog microphone example for Raspberry Pi Pico")); // for picotool
bi_decl(bi_1pin_with_name(ADC_PIN, "ADC input pin"));
adc_init();
adc_gpio_init( ADC_PIN);
adc_select_input( ADC_NUM);
uint adc_raw;
while (1) {
adc_raw = adc_read(); // raw voltage from ADC
printf("%.2f\n", adc_raw * ADC_CONVERT);
sleep_ms(10);
}
return 0;
}

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77
adc/microphone_adc/plotter.py Executable file
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#!/usr/bin/env python3
# Grabs raw data from the Pico's UART and plots it as received
# Install dependencies:
# python3 -m pip install pyserial matplotlib
# Usage: python3 plotter <port>
# eg. python3 plotter /dev/ttyACM0
# see matplotlib animation API for more: https://matplotlib.org/stable/api/animation_api.html
import serial
import sys
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.lines import Line2D
# disable toolbar
plt.rcParams['toolbar'] = 'None'
class Plotter:
def __init__(self, ax):
self.ax = ax
self.maxt = 250
self.tdata = [0]
self.ydata = [3.3/2]
self.line = Line2D(self.tdata, self.ydata)
self.ax.add_line(self.line)
self.ax.set_ylim(0, 3.3)
self.ax.set_xlim(0, self.maxt)
def update(self, y):
lastt = self.tdata[-1]
if lastt - self.tdata[0] >= self.maxt: # drop old frames
self.tdata = self.tdata[1:]
self.ydata = self.ydata[1:]
self.ax.set_xlim(self.tdata[0], self.tdata[0] + self.maxt)
t = lastt + 1
self.tdata.append(t)
self.ydata.append(y)
self.line.set_data(self.tdata, self.ydata)
return self.line,
def serial_getter():
# grab fresh ADC values
# note sometimes UART drops chars so we try a max of 5 times
# to get proper data
while True:
for i in range(5):
line = ser.readline()
try:
line = float(line)
except ValueError:
continue
break
yield line
if len(sys.argv) < 2:
raise Exception("Ruh roh..no port specified!")
ser = serial.Serial(sys.argv[1], 115200, timeout=1)
fig, ax = plt.subplots()
plotter = Plotter(ax)
ani = animation.FuncAnimation(fig, plotter.update, serial_getter, interval=1,
blit=True, cache_frame_data=False)
ax.set_xlabel("Samples")
ax.set_ylabel("Voltage (V)")
fig.canvas.manager.set_window_title('Microphone ADC example')
fig.tight_layout()
plt.show()