B8.2 - Seamless Integration of DAQ Systems into OEM Test Ecosystems: Standards, Interfaces, and Future Trends
- Event
- ETTC 2026 - European Test and Telemetry Conference
2026-06-09 - 2026-06-11
Nuremberg - Chapter
- Data Aquisition II
- Author(s)
- I. Pletschen - IPETRONIK GmbH, Baden-Baden (Germany)
- Pages
- 321 - 328
- DOI
- 10.5162/ettc2026/B8.2
- Price
- free
Abstract
The increasing complexity of aerospace and automotive test environments is driving a fundamental shift in the integration of data acquisition (DAQ), telemetry, and analytics systems. Modern test programs require scalable and flexible architectures that enable seamless integration of distributed instrumentation into OEM ecosystems while maximizing the utilization of expensive test assets. This paper examines the evolution of DAQ integration from traditional data transport interfaces toward standardized ecosystems that support configuration, diagnostics, and system orchestration. Established protocols such as Modbus TCP and IENA, are compared with more advanced approaches including ASAM XCP on TCP, IPEaeroAPI and iDDS. The paper highlights how standardized interfaces and metadata descriptions transform data recorders from passive logging devices into intelligent systems capable of signal interpretation, event detection, condition-based recording, and automated data quality monitoring. Building on lessons learned from the automotive industry, the paper further explores the transition from standalone DAQ systems to cloud-connected test ecosystems. Automotive fleet testing demonstrates how cloud-based architectures, intelligent processing, remote monitoring, and centralized data management enable efficient operation of globally distributed test fleets while reducing engineering effort and accelerating validation cycles. By combining aerospace-specific standards with proven concepts from automotive measurement, calibration, diagnostics, and cloud-based fleet testing, the paper outlines a pragmatic path toward scalable, secure, and future-proof test and telemetry ecosystems. Particular focus is placed on interoperability, intelligent data recording, remote operation, and the role of cloud-native infrastructures in future aerospace validation programs.