Acuparse RTL Realtime Update Guide¶
Acuparse can now take data from your RTL-SDR dongle and update your data in real time.
The AcuRite Access device is limited to sending updates to MyAcuRite and Acuparse every five minutes. Since the sensors like the Atlas and Iris are actually capable of sending data much more frequently, this guide will show you how to take advantage of the raw data that your sensors broadcast to the Access device.
This guide will walk you through the process of setting up your RTL-SDR dongle and getting it working with Acuparse.
This feature is currently in a minimally tested
beta state and may not work as expected. Please report any bugs on the Issue Tracker.
RTL Dongle support is supplemental to your Access/SmartHub! You will need to configure those devices first. This feature is designed for advanced users with timely data reporting requirements and requires some existing Linux and Acuparse knowledge. If you are not comfortable working with Linux or the Acuparse structure, you should not attempt to use this feature.
RTL readings and realtime updates are extremely noisy and will result in a substantial increase in network and database traffic. Users on RaspberryPi's should consider using a high capacity, max endurance memory card. It's also highly recommended to ensure database trimming is enabled.
RTL readings do not update the systems
last_updated timestamp as not all readings are recorded through RTL and are received in rotating batches. You may still receive system offline messages, even while actively receiving realtime RTL data. When the primary sensor is offline, Acuparse will stop building archive updates. Data received from the RTL dongle will continue to be displayed, but will not be recorded in the archive or sent to external services while the primary sensor is offline. This is due to the system data being in an inconsistent state, while the Access/SmartHub is offline.
While efforts have been made to keep errors to a minimum when the primary sensor is offline, you may encounter strange issues when both the RTL dongle and primary sensor are offline. The dashboard has been updated to display the last update time and realtime status in the footer. The
system/health api endpoint has also been updated to include the
last_updated values. The health endpoint returns the latest
last_updated value using timestamps from
windspeed since it is the most frequently updated sensor.
RTL does not currently support many of the advanced features provided by through the Access/SmartHub. RTL should be used to facilitate live readings on the dashboard, in conjunction with your exiting hardware setup. RTL readings will also be used when building archive data and when uploading to external services.
- Barometric Pressure
- Pressure is calculated by the Access/SmartHub and is not available via RTL.
- Lightning is already a complex calculation and is currently best left to the Access update cycle.
- RTL data was inconsistent and unreliable. Further testing/logic required.
Use of RTL Dongles is only supported using the RTL Relay Docker containers. You can send data to any physical Acuparse install, but the RTL relay service itself, will only run using Docker. Acuparse will use the MAC address from your primary device to authenticate readings. You must set the environment variable
PRIMARY_MAC_ADDRESS in your relay configuration to match the MAC address of your primary device. (no spaces,
:). You can find this in your Acuparse configuration settings.
The RTL relay service consists of two container services
- A small custom application designed to send the RTL captured syslog data to Acuparse for further processing.
Existing Acuparse Install (Non-Docker)¶
Install Docker and Compose.
Create a new RTL Relay Docker Compose config file and add the config below. Update
PRIMARY_MAC_ADDRESSwith the MAC address of your primary device. Update
ACUPARSE_HOSTwith the hostname or IP address of your Acuparse install. If you have Acuparse running on a non-standard port, add
environment:with the port you are using for Acuparse.
version: '3.7' services: relay: image: acuparse/rtl-relay environment: - PRIMARY_MAC_ADDRESS=000000000000 - ACUPARSE_HOSTNAME=acuparse.example.com restart: always rtl: image: hertzg/rtl_433 restart: always command: -F syslog:relay:10514 devices: - "/dev/bus/usb/001:/dev/bus/usb/001" depends_on: - relay
Existing Docker Based Acuparse Install¶
If you are currently running Acuparse in Docker, you only need to add the RTL containers to your existing compose config file. Add the two containers below under the existing
services: but before
volumes: in your
relay: image: acuparse/rtl-relay environment: - PRIMARY_MAC_ADDRESS=000000000000 restart: always rtl: image: hertzg/rtl_433 restart: always command: -F syslog:relay:10514 devices: - "/dev/bus/usb/001:/dev/bus/usb/001" depends_on: - relay
Using Acuparse with an existing RTL 433 implementation¶
The Acuparse RTL relay server listens for syslog messages from the rtl_433 software on port
10514. You can use any exiting implementation to send readings to the relay server.
Use the following command in your rtl_433 config to send syslog data to the relay service for processing.
Stanalone Relay Container¶
You can run a standalone rtl-relay container using the following command.
docker run -d --rm --name rtl-relay \ -e PRIMARY_MAC_ADDRESS=000000000000 \ -e ACUPARSE_HOSTNAME=acuparse.example.com \ -p 10514:10514 \ -p 10514:10514/udp \ acuparse/rtl-relay
The relay listen on any local port by changing the
-p flag. You will need to update the
command: in your rtl_433 config to match the port you are using.
Enable Realtime Updates¶
Once you have the RTL Relay service up and running, you can enable realtime updates in your Acuparse settings. Realtime updates is located in the Sensor tab.
Docker uses UTC as the timezone by default and Acuparse expects RTL readings to be in UTC. If you are not using the default container/config, you can have RTL readings reported using the system timezone instead.
To update your RTL Relay containers, run the following command:
docker-compose pull && docker-compose up -d
Check the Acuparse
/var/log/syslog for any errors and to ensure your RTL relay is active and sending data. You can also review the logs from the docker relay container using
docker-compose logs relay -f.
If you need assistance using/configuring this feature, please reach out to the project via Community Support.
Container Exit Code 132 (SIGILL?)¶
If your relay is dying with exit code 132 (SIGILL?) and gives this log output, update your compose configuration to run the container as privileged. This is due to a bug 32bit buster installs and some security changes in docker.
relay_1 | Node.js: ../src/util.cc:190:double node::GetCurrentTimeInMicroseconds(): Assertion `(0) == (uv_gettimeofday(&tv))' failed. relay_1 | Node.js: ../src/util.cc:190:double node::GetCurrentTimeInMicroseconds(): Assertion `(0) == (uv_gettimeofday(&tv))' failed. relay_1 | Node.js: ../src/util.cc:190:double node::GetCurrentTimeInMicroseconds(): Assertion `(0) == (uv_gettimeofday(&tv))' failed. relay_1 | Node.js: ../src/util.cc:190:double node::GetCurrentTimeInMicroseconds(): Assertion `(0) == (uv_gettimeofday(&tv))' failed. relay_1 | Node.js: ../src/util.cc:190:double node::GetCurrentTimeInMicroseconds(): Assertion `(0) == (uv_gettimeofday(&tv))' failed. acuparse_relay_1 exited with code 132
Update your compose file to include
privileged: true under the
relay: image: acuparse/rtl-relay privileged: true environment: - PRIMARY_MAC_ADDRESS=000000000000 restart: always