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Streaming capture of ADC on BeagleBone (Black)

Project description

Streaming ADC capture on BeagleBone (Black) with PRU

PyPI version

Provides PRU firmware that captures up to 8 ADC channels, and userspace driver to receive this as a stream of buffers containing voltage readings from ADC.

Python is the most convenient way of using it. Lower-level API can be also accessed via dynamic library, if needed.

Features:

  • configurable capture speed. Highest speed is around 15KHz.
  • configurable number of samples to average over (important to get less noise)
  • configurable set of AIN pins to capture. From just one AIN channel and up to 8 AIN channels
  • reports dropped readings (when userspace client is not fast enough to process incoming buffers data is dropped to avoid buffer overflow)
  • uses just 15-20% CPU, leaving plenty of cycles to actually deal with the data
  • no dependencies

Requirements

  1. Hardware: BeagleBone (Black), With remoteproc (not UIO) enabled in /boot/uEnv.txt
  2. OS: Debian GNU/Linux 10 (buster), see https://rcn-ee.com/rootfs/bb.org/testing/2019-12-10/buster-iot/ Or Debian GNU/Linux 9.8 (the latter may need to be re-configured to use remoteproc)
  3. Python 3.5 or better
  4. Root access rights (needed to install firmware into /lib/firmware folder and access sysfs)

Please note that (depending on your environment) you may need root priviledges to run this code.

Installation

We recommend installing into virtual environment

python3 -m venv .venv
. .venv/bin/activate
pip install bbb_pru_adc

Running sample code

python3 -m bbb_pru_adc.main

Here is the the code of the main.py - an example how to use this driver in Python:

import time
import itertools
from bbb_pru_adc.capture import capture

bad = 0
good = 0
with capture([0, 1, 2, 3, 4 ,5 ,6 ,7], auto_install=True, clk_div=1) as cap:
    start = time.time()
    for num_dropped, timestamps, values in itertools.islice(cap, 0, 1000):
        bad += num_dropped
        good += len(timestamps)

elapsed = time.time() - start
print('Elapsed:', elapsed, bad, good)
print('KHz:', round((bad + good) / elapsed / 1000, 3))

More samples

More code examples can be found in examples folder.

Building from sources

This step is not needed if you installed wheel from PyPI as described above. You need this only if you plan to make changes in firmware or driver.

git clone https://github.com/pgmmpk/bbb_pru_adc.git
cd bbb_pru_adc/
make clean
make
python3 -m bbb_pru_adc.main

Building Python wheel from sources (for PyPi)

python3 -m venv .venv
. .venv/bin/activate
pip install wheel twine
python3 setup.py bdist_wheel --plat linux_armv7l

Stream structure

Each incoming buffer contains three pieces of information:

  1. num_dropped - the number of dropped readings before this buffer was filled (i.e. between readings from previous buffer and this buffer there was a gap). Under normal conditions this value is zero. It can not grow beyond 0xffff. Thus, if you are unlucky enough to receive 0xffff, it basically means that at least that many readings were dropped (and probably more).
  2. values - array of readings, packed in the channel-first order. It is an array.array object with elements of float type. Length is num_readings * num_channels. Values vary between 0.0 and 1.8 (volts).
  3. timestamps - array of relative timestamps, corresponding to the readings. It is an array.array object with elements of unsigned int type. Length of this array is num_readings. Value is the number of PRU clock ticks since the last reading. These values allow one to know exact timing between two readings. Time distance between readings is fairly stable, small deviations are due to varying codepaths to process outgoing and incoming messages. PRU clock runs at 200MHz (5ns per tick). Thus, the timestamp value of 1000 corresponds to 5 millisecons, value of 200000 corresponds to 1kHz, etc.

How many readings do we have per buffer? This depends on the number of channels we capture. Exact answer is:

num_readings = (512 - 16 - 4) // (4 + 2 * num_readings)

This formula is mandated by remoteproc IO buffer size limit (defined as 512 at kernel compile time).

For a given capture session number of readings per buffer stays the same.

Note that driver has max_num parameter that allows one to make num_readings smaller than the maximum allowed by the IO buffer size. This is an advanced functionality that may be used to achieve specific goals (e.g. lower latency or get exact number of readings per buffer). In most applications, this parameter should not be used.

Capture API

from bbb_pru_adc.capture import capture

with capture(clk_div=0, step_avg=3, channels=[3, 5, 7], auto_install=False) as cap:
    for num_dropped, timestamps, values in cap:
        # do something with this information

This example starts capturing ADC inputs AIN3, AIN5, and AIN7 (channels=[3, 5, 7]) at full speed (speed=0). It will not attempt to install PRU firmware (auto_install=False). If driver detects that system firmware is missing or obsolete, an error will be thrown.

Capture has to be used as a context manager. The context is a generator spitting out the pieces of our buffer.

Capture parameters:

clk_div - ADC clock divider value. Fastest is clk_div=0, capturing at about 15KHz. In many applications 15KHz is just too much data (hard to process), and clk_div can be set to other values. For example, setting clk_div=9 will capture 10 times slower (at about 1.5KHz).

step_avg - How many capture steps to avegare for one sample. Default value is 4, meaning averaging over 16 steps. It produces the least amount of noise. Setting to values less than 2 is not recommended, because of the increasing noise in the values. Note that this value affects capture speed. Higest capture speed of 15kHz is only possible without averaging. Highest capture frequency with the recommended step_avg setting of 4 is about 7kHz.

channels - which AIN pins (aka channels) to capture. This is a list of 1 to 8 unique values, representing the AIN pins to read. Note that values in the output buffer are layed out in the same order as channels.

max_num - limits the number of readings per buffer. This is advanced functionality, see the section below. Deafult is 0 that disables this limit.

target_delay - target number of PRU cycles (5ns per cycle) per capture. This allows one to fine-tune the capture speed. This is an advanced functionality, see the section below. Default is 0 which disables this functionality.

auto_install - if we detect that firmware is not installed, or is different, attempt to re-install by copying firmware file from python package resources to /lib/firmware. This action requires root priveleges. Once installed, you can use the driver as a non-root user.

Important! timestamps and values returned by the generator are re-used and content will be overwritten on next iteration. Do not store these buffers. If you are not processing data immediately, copy them out.

Advanced use: target_delay

Normally, the time between two ADC captures is determined by the following factors:

  1. ADC capture speed (see speed parameter)
  2. Time needed to process and send out the data This time can slightly vary, because number of operations depends on buffering state and other factors pertaining to PRU/CPU communication.

Actual number of cycles is reported in the timestamps array.

The target_delay parameter sets the minimal number of PRU cycles. PRU will idle until the specified number of PRU timesteps is reached. This allows one to: a. Remove timestamp jitters b. Fine-tune the capture speed to any desirable number (limited by the overall capture speed - around 16kHz)

To target a specific capture frequence, do the following:

  • choose speed parameter to find the largest value that produces capture frequence just above the desired one, then
  • compute the target number of PRU cycles for the desired frequency and set target_delay to that value. Remember that PRU runs at 200MHz clock and one cycle takes 5ns.
  • measure the actual capture frequency
  • if it deviates from the desired one, change target_delay a bit to adjust. If actual frequency is lower than desired, lower target_dealy value. If actual frequency is higher than desired, increase the target_delay value.

This should allow one to get very precise capture frequency.

Advanced use: max_num

Normally, driver will use all available space in the communication buffer (512-16 bytes). Buffer size is determined by the remoteproc kernel module. Using all available buffer space minimizes bandwidth loss due to the control information (attached to each buffer sent), and thus minimizes the chance of data loss. In short, if you want the most efficient data transfer, do not change this value.

Somethimes, you may want to use smaller buffers. For example, to ensure lower latency (at the cost of getting less efficient comunication). You can do this by setting max_num.

The max_num parameter ensures that no more than that many ADC readings will be packed per buffer. If you set it to a high value, the real limit will be the communication buffer size and parameter will be effectively ignored.

Internals

There are three pieces of software:

  1. firmware running on PRU side bbb_pru_adc/resources/am335x-pru0.fw, built from src/firmware.c, src/firmware.h, and src/common.h.
  2. CPU-side userspace driver that handles low-level details of communication with PRU bbb_pru_adc/resources/libdriver.so, built from src/driver.c, src/driver.h, and src/common.h
  3. Python code that is responsible for installing the firmware and starting and terminating the PRU processor.

Firmware

Overall logic is this:

  1. Initialize remoteproc communication subsystem (this creates character device /dev/rpmsg-pru30)
  2. Initialize array of 8 ring buffers that we will use for data exchange with CPU
  3. Enter main loop, where we: a. wait for incoming START command with parameters speed, channels, max-num, and target_delay. When received, we initialize ADC for the given channels and capture speed and start capturing. b. if STOP command arrives from CPU side while we are capturing, we stop the ADC capture c. if ACK command arrives from CPU, we release one ring buffer (CPU sends this command to acknowledge data receipt) d. when one ADC capture completes, we push the readings to the ring buffer. If ring buffer is full, we send it out to the CPU side and try to get a new ring buffer. When CPU side is slow, we may run out of buffers. Then we will drop the reading. After pushing the readings to the ring buffer we schedule another ADC capture.

Driver

On the CPU side we do this:

  1. driver_start method opens /dev/rpmsg-pru30 device and writes a message there with command=START, and speed, channels, max_num, and target_delay values to ask PRU to start ADC capture
  2. driver_read method reads device file, blocking until a message arrives. It then sends out the ACK command, and unpacks the data from received buffer into the caller's buffers.
  3. driver_stop sends STOP command to the PRU

Python side

Python code in bbb_pru_adc/capture.py does this:

  1. loads the driver library
  2. loads (installing if needed) the firmware into PRU, starts PRU
  3. waits till /dev/rpmgs-pru30 device is created
  4. calls driver_start to initiate capture
  5. in a loop receives captured data by calling driver_read
  6. when finished, calls driver_stop and stops PRU

Links

  1. https://github.com/MarkAYoder/PRUCookbook.git
  2. https://markayoder.github.io/PRUCookbook/
  3. https://github.com/derekmolloy/exploringBB
  4. http://exploringbeaglebone.com/
  5. http://theduchy.ualr.edu/?p=289

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