Matter Linux Contact Sensor Example#

An example showing the use of CHIP on the Linux. This document will describe how to build and run Matter Linux Contact Sensor Example on Raspberry Pi. This document is tested on Ubuntu for Raspberry Pi Server 20.04 LTS (aarch64) and Ubuntu for Raspberry Pi Desktop 20.10 (aarch64)

To cross-compile this example on an x64 host and run it on NXP i.MX 8M Mini EVK, see the associated README document for details.

Building#

  • Install tool chain

      $ sudo apt-get install git gcc g++ python pkg-config libssl-dev libdbus-1-dev libglib2.0-dev ninja-build python3-venv python3-dev unzip

  • Build the example application:

      $ cd ~/connectedhomeip/examples/contact-sensor-app/linux
  $ git submodule update --init
  $ source third_party/connectedhomeip/scripts/activate.sh
  $ gn gen out/debug
  $ ninja -C out/debug

  • To delete generated executable, libraries and object files use:

      $ cd ~/connectedhomeip/examples/contact-sensor-app/linux
  $ rm -rf out/

  • Build the example with pigweed RPC

      $ cd ~/connectedhomeip/examples/contact-sensor-app/linux
  $ git submodule update --init
  $ source third_party/connectedhomeip/scripts/activate.sh
  $ gn gen out/debug --args='import("//with_pw_rpc.gni")'
  $ ninja -C out/debug

Commandline arguments#

  • --wifi

    Enables WiFi management feature. Required for WiFi commissioning.

  • --thread

    Enables Thread management feature, requires ot-br-posix dbus daemon running. Required for Thread commissioning.

  • --ble-device <interface id>

    Use specific bluetooth interface for BLE advertisement and connections.

    interface id: the number after hci when listing BLE interfaces by hciconfig command, for example, --ble-device 1 means using hci1 interface. Default: 0.

Running the Complete Example on Raspberry Pi 4#

  • Prerequisites

    1. A Raspberry Pi 4 board

    2. A USB Bluetooth Dongle, Ubuntu desktop will send Bluetooth advertisement, which will block CHIP from connecting via BLE. On Ubuntu server, you need to install pi-bluetooth via APT.

    3. Ubuntu 20.04 or newer image for ARM64 platform.

  • Building

    Follow Building section of this document.

  • Running

    • [Optional] Plug USB Bluetooth dongle

      • Plug USB Bluetooth dongle and find its bluetooth device number. The number after hci is the bluetooth device number, 1 in this example.

          $ hciconfig
  hci1:	Type: Primary  Bus: USB
      BD Address: 00:1A:7D:AA:BB:CC  ACL MTU: 310:10  SCO MTU: 64:8
      UP RUNNING PSCAN ISCAN
      RX bytes:20942 acl:1023 sco:0 events:1140 errors:0
      TX bytes:16559 acl:1011 sco:0 commands:121 errors:0

  hci0:	Type: Primary  Bus: UART
      BD Address: B8:27:EB:AA:BB:CC  ACL MTU: 1021:8  SCO MTU: 64:1
      UP RUNNING PSCAN ISCAN
      RX bytes:8609495 acl:14 sco:0 events:217484 errors:0
      TX bytes:92185 acl:20 sco:0 commands:5259 errors:0

      • Run Linux Contact Sensor App

          $ cd ~/connectedhomeip/examples/contact-sensor-app/linux
  $ sudo out/debug/chip-contact-sensor-app --ble-device [bluetooth device number]
  # In this example, the device we want to use is hci1
  $ sudo out/debug/contact-sensor-app --ble-device 1

      • Test the device using ChipDeviceController on your laptop / workstation etc.

Running RPC Console#

  • As part of building the example with RPCs enabled the chip_rpc python interactive console is installed into your venv. The python wheel files are also created in the output folder: out/debug/chip_rpc_console_wheels. To install the wheel files without rebuilding: pip3 install out/debug/chip_rpc_console_wheels/*.whl

  • To use the chip-rpc console after it has been installed run: chip-console -s localhost:33000 -o /<YourFolder>/pw_log.out

  • Then you can Get the contact sensor status using the RPCs: rpcs.chip.rpc.BooleanState.Get()

Device Tracing#

Device tracing is available to analyze the device performance. To turn on tracing, build with RPC enabled. See Building with RPC enabled.

To obtain the tracing json file, run:

    $ ./{PIGWEED_REPO}/pw_trace_tokenized/py/pw_trace_tokenized/get_trace.py -s localhost:33000 \
     -o {OUTPUT_FILE} -t {ELF_FILE} {PIGWEED_REPO}/pw_trace_tokenized/pw_trace_protos/trace_rpc.proto