Creating Matter device
As part of this guide, you will modify the Matter template sample to create a Matter sensor device that measures temperature and can be turned on and off. The sensor will periodically generate the simulated temperature sensor value and update the corresponding cluster attributes. This application will form a Matter device within a Matter network.
Note
Make sure you are familiar with Matter in the nRF Connect SDK and you have tested some of the available Matter samples before you work with this user guide.
Overview
The Matter device is a basic node of the Matter network. The device is formed by the development kit and the application that is running the Matter stack, which is programmed on the development kit.
Each Matter application consists of the following layers:
Matter stack that provides the Matter core components.
Data model layer in the form of clusters, which contains commands and attributes that are to be accessible over the Matter network. This layer can be further broken down into the following groups:
Utility clusters - These clusters represent management and diagnostic features of a Matter node. They are common for all Matter nodes.
Application clusters - These clusters represent functionalities specific to a given application.
Application logic, such as turning on and off a light bulb in response to certain commands.
Creating a Matter device consists of adding new application clusters to the Matter template sample. By default, the template sample includes only mandatory Matter clusters, necessary to commission the device into a Matter network.
Cluster is a data model building block in Matter. It is a representation of a single functionality within a Matter device, such as turning a device on and off. Each cluster contains attributes, commands, and events, which can be mandatory or optional. Attributes are stored in the device’s memory, while commands can be used to modify or read the state of the device, including the cluster attributes.
Clusters appropriate for a single device type such as a sensor or a light bulb are organized into an addressable container that is called an endpoint.
Most utility clusters are required to be on the endpoint with ID 0
.
Application clusters are usually assigned to endpoints with IDs 1
and higher.
An application can implement appropriate callback functions to be informed about specific cluster state changes. These functions can be used to alter the device’s behavior when the state of a cluster is changing as a result of some external event.
Requirements
To take advantage of this guide, you need to be familiar with Matter architecture and integration and Configuring Matter, and have built and tested at least one of the available Matter samples.
Copy Matter template sample
Use the Matter Template sample as the base for building a sensor device:
Make sure that you meet the requirements for building the sample.
Build and test the sample as described on its documentation page.
Copy the contents of the
samples/matter/template
directory to a new directory meant for your custom application. For example,samples/matter/sensor
.
Edit clusters using the ZAP tool
Adding the functionalities for an on/off switch and a sensor requires adding new clusters.
Adding new application clusters can be achieved by modifying ZAP file, which can be found as src/template.zap
.
This is a JSON file that contains the data model configuration of clusters, commands, and attributes that are enabled for a given application.
It is not used directly by Matter applications, but it is used to generate the source files for handling given clusters.
The ZAP file can be edited using ZCL Advanced Platform (ZAP tool), a third-party tool that is a generic templating engine for applications and libraries based on Zigbee Cluster Library. This tool is provided with the Matter submodule.
To edit clusters using the ZAP tool, complete the following steps:
Open your installation directory for the nRF Connect SDK in a command line.
Navigate to
modules/lib/matter
.Open the
src/template.zap
for editing by running the following command, wheresamples/matter/sensor
stands for the path where you copied the template sample in the first step of this guide../scripts/tools/zap/run_zaptool.sh ../../../nrf/samples/matter/sensor/src/template.zap
The ZAP tool’s Zigbee Cluster Configurator window appears.
By default, the window displays all available clusters. These can be filtered to show Only Enabled clusters. At this stage, only one endpoint is available (Endpoint 0).
In the ZAP tool, click ADD NEW ENDPOINT.
In the Create New Endpoint menu, create a new endpoint that represents the temperature sensor device type:
The new cluster is created with both the Basic and Identify clusters enabled.
Configure the On/Off cluster required for this endpoint:
In the Search Clusters menu, find the On/Off cluster.
Set the Server option for the On/Off cluster.
In the Configure column, click the gear icon to open the cluster’s configuration.
In the ATTRIBUTES tab, make sure that you have the
OnOff
attribute enabled.In the COMMANDS tab, make sure that you have both On and Off commands enabled:
Configure the Temperature Measurement cluster required for this endpoint:
Expand the Measurement & Sensing menu and configure the Temperature Measurement cluster by setting the Server option from the drop-down menu.
Go to the Temperature Measurement cluster configuration and make sure that you have the
MeasuredValue
attribute enabled.
Save the file and exit.
Use the modified ZAP file to generate the C++ code that contains the selected clusters by running the following command, where
samples/matter/sensor
stands for the path where you copied the template sample in the first step of this guide:./scripts/tools/zap/generate.py ../../../nrf/samples/matter/sensor/src/template.zap
At this point, new clusters have been added to the Matter device.
Edit the main loop of the application
After adding clusters, you must modify the way in which the application interacts with the newly added clusters. This is needed to properly model the sensor’s behavior.
The src/app_task.cpp
file contains the main loop of the application.
Complete the steps in the following subsections to modify the main loop.
Edit the event queue
The main application loop is based on an AppEventQueue
, on which events are posted by ZCL callbacks and by other application components, such as Zephyr timers.
In each iteration, an event is dequeued and a corresponding event handler is called.
Add new events
After you copied the template sample application, the following events are present in the AppEvent
structure in the src/app_event.h
file, each representing one action of the factory reset functionality:
FunctionPress
- For pressing Button 1.FunctionRelease
- For releasing Button 1.FunctionTimer
- For factory reset timeout.
To model the behavior of the sensor, add the following new EventType
events:
SensorActivate
- For sensor activation.SensorDeactivate
- For sensor deactivation.SensorMeasure
- For sensor measurement update.
For example, the edited EventType
can look as follows:
enum EventType : uint8_t { FunctionPress, FunctionRelease, FunctionTimer, SensorActivate, SensorDeactivate, SensorMeasure };
enum UpdateLedStateEventType : uint8_t { UpdateLedState = SensorMeasure + 1 };
Add sensor timer
You need to make sure that the sensor is making measurements at the required time points.
For this purpose, use a Zephyr timer to periodically post SensorMeasure
events.
In the template sample, such a timer is being used to count down 6 seconds when Button 1 is being pressed to initiate the factory reset.
To add a new timer for the measurement event, edit the src/app_task.cpp
file as follows:
k_timer sSensorTimer;
void SensorTimerHandler(k_timer *timer)
{
GetAppTask().PostEvent(AppEvent{ AppEvent::SensorMeasure });
}
void StartSensorTimer(uint32_t aTimeoutMs)
{
k_timer_start(&sSensorTimer, K_MSEC(aTimeoutMs), K_MSEC(aTimeoutMs));
}
void StopSensorTimer()
{
k_timer_stop(&sSensorTimer);
}
int AppTask::Init()
{
/*
... Original content
*/
k_timer_init(&sSensorTimer, &SensorTimerHandler, nullptr);
k_timer_user_data_set(&sSensorTimer, this);
return 0;
}
The timer must be initialized in the Init()
method of the AppTask
class.
If StartSensorTimer()
is called, the SensorMeasure
event is added to the event queue every aTimeoutMs milliseconds, until StopSensorTimer()
is called.
Implement event handlers
When an event is dequeued, the application calls the event handler function.
Because you have added new events, you must implement the corresponding handlers and modify the DispatchEvent()
function, which is used to process subsequent events from the queue.
To add new event handlers, complete the following steps:
Edit the
src/app_task.cpp
file as follows:void AppTask::SensorActivateHandler() { StartSensorTimer(500); } void AppTask::SensorDeactivateHandler() { StopSensorTimer(); } void AppTask::SensorMeasureHandler() { chip::app::Clusters::TemperatureMeasurement::Attributes::MeasuredValue::Set( /* endpoint ID */ 1, /* temperature in 0.01*C */ int16_t(rand() % 5000)); }
With this addition, when the sensor is active, the timer expiration event happens every half a second. This causes an invocation of
SensorMeasureHandler()
and triggers an update of theMeasuredValue
attribute of the Temperature Measurement cluster.Note
In the code fragment, the example value is updated randomly, but in a real sensor application it would be updated with the value obtained from external measurement.
Declare these handler functions in
src/app_task.h
to make sure the application builds properly.In the
src/app_task.cpp
file, add cases for new events inDispatchEvent()
, for example:void AppTask::DispatchEvent(const AppEvent &event) { switch (event.Type) { case AppEvent::FunctionPress: FunctionPressHandler(); break; case AppEvent::FunctionRelease: FunctionReleaseHandler(); break; case AppEvent::FunctionTimer: FunctionTimerEventHandler(); break; case AppEvent::UpdateLedState: event.UpdateLedStateEvent.LedWidget->UpdateState(); break; case AppEvent::SensorActivate: SensorActivateHandler(); break; case AppEvent::SensorDeactivate: SensorDeactivateHandler(); break; case AppEvent::SensorMeasure: SensorMeasureHandler(); break; default: LOG_INF("Unknown event received"); break; } }
Include header for cluster attribute helpers
To import helper functions for accessing cluster attributes, make sure to include the following file in the src/app_task.cpp
file:
#include <app-common/zap-generated/attributes/Accessors.h>
Create a callback for sensor activation and deactivation
Handlers for the SensorActivate
and SensorDeactivate
events are now ready, but the events are not posted to the event queue.
The sensor is supposed to be turned on and off remotely by changing the OnOff
attribute of the On/off cluster, for example using the Matter controller.
This means that we need to implement a callback function to post one of these events every time the OnOff
attribute changes.
To implement the callback function, complete the following steps:
Create a new file, for example
src/zcl_callbacks.cpp
.Implement the callback in this file:
Open
src/zap-generated/callback-stub.cpp
to check the list of customizable callback functions, marked with__attribute__((weak))
.Read the description of
MatterPostAttributeChangeCallback()
.Implement
MatterPostAttributeChangeCallback()
in thesrc/zcl_callbacks.cpp
file.
For example, the implementation can look as follows:
#include "app_task.h"
#include <app-common/zap-generated/ids/Attributes.h>
#include <app-common/zap-generated/ids/Clusters.h>
#include <app/ConcreteAttributePath.h>
using namespace ::chip;
using namespace ::chip::app::Clusters;
void MatterPostAttributeChangeCallback(const chip::app::ConcreteAttributePath & attributePath, uint8_t mask, uint8_t type,
uint16_t size, uint8_t * value)
{
if (attributePath.mClusterId != OnOff::Id || attributePath.mAttributeId != OnOff::Attributes::OnOff::Id)
return;
GetAppTask().PostEvent(AppEvent(*value ? AppEvent::SensorActivate : AppEvent::SensorDeactivate));
}
In this implementation, the if
part filters out events other than those that belong to the On/Off cluster.
Then, the callback posts the event for the sensor, namely SensorActivate
if the current value of the attribute is not zero.
Add new source file to CMakeLists
To ensure that everything builds without errors, update the CMakeLists.txt
file by adding src/zcl_callbacks.cpp
source file to the app
target.
Testing the new sensor application
Note
Use the Python Controller when setting up Matter development environment.
To check if the sensor device is working, complete the following steps:
Connect the kit to the computer using a USB cable. The kit is assigned a COM port (Windows) or ttyACM device (Linux), which is visible in the Device Manager.
Connect to the kit with a terminal emulator that supports VT100/ANSI escape characters (for example, PuTTY). See How to connect with PuTTY for the required settings.
Commission the device into a Thread network by following the guides linked on the Configuring Matter page for the Matter controller you want to use. The guides walk you through the following steps:
Configure Thread Border Router.
Build and install the Matter controller.
Commission the device.
Send Matter commands.
At the end of this procedure, LED 1 of the Matter device programmed with the sample starts flashing in the Short Flash Off state. This indicates that the device is fully provisioned, but does not yet have full Thread network connectivity.
Activate the sensor by running the following command on the On/off cluster with the correct node_ID assigned during commissioning:
zcl OnOff On node_ID 1 0
Read the measurement several times by checking value of
MeasuredValue
in the Temperature Measurement cluster:zclread TemperatureMeasurement MeasuredValue node_ID 1 0
Deactivate the sensor by running the following command on the On/off cluster with the correct node_ID assigned during commissioning:
zcl OnOff Off node_ID 1 0
Read the measurement again. The measurement should not change.