Real-time monitoring of ECLSS flight rules

ion network The set of interlinked data abstraction nodes that comprise a DAA. Sensor Event Abstraction Language (SEAL) The Sensor Event Abstraction Language (SEAL) is an XML grammar that defines the data abstractors, the abstractor’s message handling operations, and the directed graph connecting the abstractors (called a Data Abstraction Network (DAN)). Users do not need to manually program SEAL files; the necessary files are generated by using a graphical editor. Data source The generator of a continuous data signal input into the DAA. This generator may include either raw telemetry data signals generated by hardware sensors or preprocessed data signals from a low-level controller or other abstraction architectures. Data sink The receiver of a continuous data signal output from the DAA. This receiver may include high-level control systems, crew displays, logging or maintenance systems, or other abstraction architectures. Development environment The editor is an end-user oriented software tool to aid in the construction, debugging, and viewing of SEAL files. The editor creates a file, which is read in by the Data Abstraction Reasoning Engine (DARE) and used to output abstracted data. The abstracted data can be used by displays intended for human consumption or by higher-level controllers. Taken together these components provide a powerful mechanism for representing and accessing the data necessary to monitor and control Constellation vehicles, habitats and robots. They also provide a mechanism for monitoring flight rules. II.A. Data abstractors One of the principal functions of the data abstraction architecture is to define the operations that may be performed on an input message stream. Whether performed on the message content or the message envelope, these are referred to as abstractors, for their resulting product is an abstraction of the input data that is consumed by the next abstractor in the graph. Different classes of abstractors focus on different stages in the transformation process represented by a data abstraction network. Message Management abstractors are designed to help manage the message flow of the data bus prior to doing anything with the sensor data that is the content of those messages: • Sampler reduces the number of messages handled to a manageable subset and are generally used at the beginning of a DAN. • Temporal Alignment ensures that messages coming from different sensors at different rates are grouped to represent events occurring at the same time. Data Manipulation abstractors focus on transforming the sensor data itself: • Mathematical Functions (Ratio, Average, Arithmetic) specify math expressions to per-form on the input values