Automatic generation of diagnostic programs for SPS-controlled systems

• US 20030074603A1
• Filed: 10/05/2001
• Published: 04/17/2003
• Est. Priority Date: 09/07/2001
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Schiller, Frank Dittrich, Bungert, Ulrich
• Application Number:
  US09/972,365
• Publication Number:
  US 20030074603A1
• Time in Patent Office: Days
• US Class Current: 714/37
• CPC Class Codes: G05B 19/4184 characterised by fault tolerance, reliability of production system
• CPC Class Codes: G05B 2219/31356 Automatic fault detection and isolation
• CPC Class Codes: G05B 2219/31365 Send message to most appropriate operator as function of kind of error
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

An automation system wherein fault conditions are identified by providing clearer fault messages. The system is defined in terms of components, and further in terms of inputs, outputs, and functional relationships between the inputs and outputs, wherein inputs include potential fault conditions associated with the components or functional elements. Weighting factors are associated with the fault conditions to identify the most likely cause. Functional relationships are developed using libraries of generic components that are used to create a diagnostic program during an off-line phase (410). Model functions (412) are determined and coded according to a suitable coding language (414). The resulting program is passed as a diagnostic model (426) operable of use in an on-line phase (420). The diagnostic model (426) provides input to an object engine (430) that is operational during the on-line phase (420), and receives specific inputs (424) and outputs of selected information (422) during operation thereof.

Claims

1. A method of identifying fault conditions in an automation system, comprising the steps of:

identifying components in the system,

identifying inputs and outputs to each identified component, the inputs including possible fault conditions and other inputs,

determining functional relationships between the inputs and outputs for each identified component, and

determining fault conditions based on the functional relationships and the outputs and other inputs.