Safe and reliable environmental perception is crucial for the highly automated or even autonomous operation of agriculture machines. However, developing such a system is challenging due to imperfect perception sensors. This article proposes a fault management system (FMS) for detecting, diagnosing, and mitigating risks that compromise the safety and reliability of perception systems. This article aims to develop an improved image quality safety model (IQSM) for the FMS to detect and diagnose the causes of performance insufficiencies in object detection. The IQSM exhibits remarkable performance, achieving an accuracy of about 98%, demonstrating its ability to effectively identify performance insufficiencies under pre-defined hazardous scenarios.

An aggregating server providing data access to multiple data sources is a software architecture that is often applied in industrial applications. This paper presents a design of an aggregating server based on OPC UA technology and tests it with two different experimental applications, one about production control of a flexible manufacturing system and another about remote monitoring of mobile work machines. The presented design enables transparent access to the data in the address space of the aggregating server through utilization of address space transformations. The transformations can be either configured with rules or be programmed. Feasibility of the design of the aggregating server and the applications was evaluated with experimental implementations containing both simulated devices and real work machines.