IRMA: real-time, distributed process management using Schemer

Distributed production processes make complex demands. A control system with only one kind of solution process cannot readily handle these complex challenges. This sets out a multiprocessing system and a suite of tools to meet these challenges. We begin by setting out our aims in this research. We describe an application to control of emissions from geothermal power plants. Our discussion focuses on IRMA (Intelligent Real-time Monitoring and Assessment)-a toolkit that supports our view of process management as a collection of diverse problem-solving activities, and Schemer, a general-purpose computational architecture for building distributed, real-time knowledge-based systems such as IRMA. We assess our application and compare it with other knowledge-based systems for real-time process management. We discuss a suite of tools in IRMA that are evidently helpful in a process-management toolkit. We conclude that Schemer´s integrated implementation of multiprocessing and interprocess communication clarifies and simplifies the use of multiple tools