This paper introduces a novel method of continuous verification of simulation software used in decision-support systems for nuclear emergency management (DSNE). The proposed approach builds on methods from the field of software reliability engineering, such as N-Version Programming, Recovery Blocks, and Consensus Recovery Blocks. We introduce a new acceptance test for dispersion simulation results and a new voting scheme based on taxonomies of simulation results rather than individual simulation results. The acceptance test and the voter are used in a new scheme, which extends the Consensus Recovery Block method by a database of result taxonomies to support machine-learning. This enables the system to learn how to distinguish correct from incorrect results, with respect to the implemented numerical schemes. Considering that decision-support systems for nuclear emergency management are used in a safety-critical application context, the methods introduced in this paper help improve the reliability of the system and the trustworthiness of the simulation results used by emergency managers in the decision making process. The effectiveness of the approach has been assessed using the atmospheric dispersion forecasts of two test versions of the widely used RODOS DSNE system. ACM CCS (2012) Classification: Information systems → Information systems applications → Decision support systems → Expert systems
We propose an aspect-oriented approach for the development of simulation software aiming at increasing the flexibility, the rapidity of development, and maintainability of simulation software. The horizontal decomposition method is used to separate the core functionality of the simulation application from simulation-specific cross-cutting concerns like distribution, tool integration, persistence, and fault tolerance. We analyze an existing dispersion simulation application to demonstrate the applicability of our approach and provide a proof of concept in form of the aspect-oriented implementation of two cross-cutting concerns, namely distribution and tool integration.
the nuclear reactor remote monitoring system of the federal state of BadenWuerttemberg (KFUe BW) is realized according to the renewed "recommendations for remote monitoring of nuclear power plants" (BMU, 2005a). the spectrum of the system covers both, pursuit of operational procedures, and incidents or accidents. the KFUe BW provides a measurement network and information system for operational parameters at the plant sites as well as radiological and meteorological measurements in their vicinity. For the Ministry, it preferentially serves as an instrument of nuclear supervision. this paper gives a brief survey of the system architecture and concentrates on the role of the KFUe with respect to the determination and evaluation of the radiological situation in the range of off-site emergency management.
We present the architecture of the new ABR-KFUE decision-support system for nuclear emergency management used in Germany. Such systems assist decision makers in taking countermeasures in case of releases of radioactive materials into the environment. The specificity of these systems is that they use simulation software in a safety-critical application context. The new architecture of the system thus aims at fulfilling non-functional requirements for improved reliability, performance, availability, and maintainability. The proposed solutions are evaluated using a stimulus/response analysis.
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