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AVEVA™ Adapter for Modbus TCP

System requirements

  • Last UpdatedFeb 20, 2025
  • 2 minute read

AVEVA Adapter for Modbus TCP is supported on a variety of platforms and processors. Install kits are available for the following platforms:

Operating System

Platform

Installation Kit

Processor(s)

Windows 10 Enterprise
Windows 10 IoT Enterprise
Windows 11 Enterprise
Windows Server 2019
Windows Server 2022

x64

AVEVA-Adapter-for-Modbus_1.6.0.354-x64_.msi

Intel/AMD 64-bit processors

Debian 10, 11
Ubuntu 20.04, 22.04

x64

AVEVA-Adapter-for-Modbus_1.6.0.354-x64_.deb

Intel/AMD 64-bit processors

Debian 10, 11
Ubuntu 20.04, 22.04

ARM32

AVEVA-Adapter-for-Modbus_1.6.0.354-arm_.deb

ARM 32-bit processors

Debian 10
Ubuntu 20.04, 22.04

ARM64

AVEVA-Adapter-for-Modbus_1.6.0.354-arm64_.deb

ARM 64-bit processors

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.

Visual C++ 2022 Redistributables

It is recommended that you install VC143 redistributables (https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist) prior to the adapter installation.

The adapter installer includes these as part of a merge module. However, they do not receive automatic updates from Microsoft unless installed manually.

PI Web API compatibility

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

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.

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