System requirements

AVEVA Adapter for BACnet is supported on a variety of platforms and processors.

Install kits are available for the following platforms:

Alternatively, you can use tar.gz files with binaries to build your own custom installers or containers for Linux. For more information on installing the adapter with Docker containers, see Installation using Docker.

PI Web API compatibility

This version of AVEVA Adapter for BACnet is compatible with PI Web API 2021 and later.

Note: Starting with the PI Web API 2023 SP1 release, the PI Web API service caches the streams for 15 minutes by default. If you recreate streams within that time period, you need to restart PI Web API.

Performance metrics

A wide range of Linux and Windows based devices support AVEVA adapters, from small single board computers to large servers. Stream count and event throughput vary based on the device's hardware specification.

Performance guidelines for AVEVA adapters when running on typical small and large devices are as follows:

• Small Devices - 4 Core CPU, 4 GB RAM (Raspberry Pi 4B equivalent). 10k events/sec, 10k streams total

• Large Devices - 4 Core CPU, 8 GB RAM. 50k events/sec, 50k streams total

Actual performance of AVEVA adapters vary depending on different factors, such as the performance of data source, network latency, and hardware resource consumption by other applications on the device. We recommend solid state storage on the device to improve the performance, robustness, and reliability of the AVEVA adapter data buffering mechanism.