HAI-CPPS: The Hamburg AI Benchmark for Cyber-Physical Production Sytems

The Hamburg AI Benchmark for Cyber-Physical Production Systems (HAI-CPPS) is a comprehensive dataset designed for evaluating AI models in the domains of anomaly detection, diagnosis, and reconfiguration for Cyber-Physical Production Systems (CPPS).HAI-CPPS is structured as a benchmark comprising ten different scenarios of a modular process plant, each demonstrating various functionalities and increasing complexities. This enables you to comprehensively test your algorithms not only on a single use-case, butt systematically across increasingly complex examples within the same domain. Each scenario can feature multiple anomalies occurring within a single module or across multiple modules of the CPS.HAI-CPPS includes:OpenModelica simulation modelsPre-simulated datasets for benchmarkingDocker integration for easy executionIn addition to the provided setups, you can also create and simulate your own system constellations using the OpenModelica models and the HAI-CPS Python API.