Abstract: Techniques are provided for automatically transforming textual data, representing an image, into P&ID components. In an embodiment, a text file may represent an image of a plant and include a plurality of image objects representing plant components. A text class identifier corresponding to each image object may be identified in the text file. An insertable P&ID component may be identified for each image object based on determining that the text class identifier is included in an application hierarchical data structure. An ordered insertion may be performed to insert each insertable P&ID component into a P&ID schematic drawing utilizing an ordered hierarchy. Additionally, P&ID data may be generated for each P&ID component inserted into the P&ID schematic drawing. As a result, a P&ID or intelligent P&ID is generated from textual data that represents an image that is simply a pictorial representation of a plant.

Abstract: An embodiment of the invention provides a method for specifying preferred routes for SPVCs across multi-peer group PNNI networks and AINI links. A preferred route for a network connection through a network having a plurality of nodes, organized hierarchically into a plurality of peer groups, is determined. The preferred route is associated with a preferred route identifier. The preferred route identifier is carried in the PNNI SETUP message and is used to link a preferred route database in the source node with the entry border nodes of remote peer groups for a single SPVC. The entry border node of each peer group establishes a connection over a static route corresponding to the preferred route identifier. For one embodiment the preferred route identifier is carried in a generic application transport information element of the PNNI signaling SETUP message, providing a scalable preferred routing capability for SPVCs across multi-peer group PNNI networks.