P&ID Display Interface for Causal Sensor Group Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current piping and instrumentation diagrams (P&ID) fail to effectively visualize sensor data and dependencies between sensors, making it difficult for operators to monitor and maintain complex industrial facilities due to the large number of facilities and control equipment.
Innovation Solution
A display device that processes and stores data on equipment relationships, allowing users to designate specific components and display associated sensor data and equipment groups with causal connections, using a graphical user interface to present this information in an easily understandable format through directed graphs and grouping functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If P&ID is used to represent all facilities and control equipment, then complete information coverage is achieved, but operator monitoring and understanding becomes impractically difficult
Solution Approach 1:
The system segments the overwhelming P&ID information into meaningful groups based on causal relationships. Equipment and sensors are organized into groups where members share causal connections, allowing operators to view information in manageable chunks rather than as a single overwhelming diagram. This segmentation maintains complete information coverage while making it cognitively manageable.
Solution Approach 2:
The system adds a new dimension of organization by introducing causal relationship grouping alongside the traditional spatial P&ID layout. Instead of only displaying equipment in their physical/ diagrammatic positions, the system creates a logical dimension where equipment are grouped by their causal interconnections, enabling operators to navigate information through multiple organizational perspectives.
2Reliability
If comprehensive equipment data is collected, then complete monitoring capability is achieved, but identification of causal relationships and issues becomes more difficult
Solution Approach 1:
The system performs preliminary organization of equipment and sensors into causally-related groups before the actual monitoring and troubleshooting occurs. By pre-establishing these logical groupings based on causal relationships, the system prepares the data structure in advance, so that when issues arise, operators can immediately access pre-organized information rather than having to detect relationships in real-time under pressure.
Data Source
AI summary
A display device includes processing circuitry configured to acquire data of a plurality of pieces of equipment that are set in a facility, store, in a storage, a correspondence relationship between the respective pieces of equipment that are set in the facility and respective components in drawing data in which the pieces of equipment arranged in the facility are drawn as the components, and on receiving designation of a specific component among the components in the drawing data, choose a specific piece of equipment corresponding to the specific component using the correspondence relationship that is stored in the storage and display data of the specific piece of equipment and data of an equipment group having a causal connection with the specific piece of equipment in association with each other.