Natural Language Gateway Interface for Industrial Field Devices
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Solution Overview
Problem
Industrial automation systems require constant training and effort from operators to understand and interact with field devices from different manufacturers, leading to potential mistakes due to varying structured formats and complex software navigation.
Innovation Solution
A gateway interface device (GID) with computational and communication capabilities facilitates interaction with field devices using natural language processing (NLP) to convert user instructions into structured formats native to the devices, eliminating the need for prior knowledge of specific command structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operators use traditional structured format communication with field devices, then field devices can be controlled and monitored, but operators require constant training to understand different structured formats from various manufacturers
Solution Approach 1:
The system introduces a natural language processing intermediary layer between the operator and the field device. This intermediary translates operators' natural language instructions into the structured formats required by different field devices, eliminating the need for operators to learn multiple device-specific protocols while maintaining reliable communication.
Solution Approach 2:
The system creates a universal natural language interface that can communicate with multiple types of field devices from different manufacturers. Instead of requiring separate learning for each device type, a single natural language interface handles diverse devices, making the system universally accessible to operators regardless of device variety.
2Adaptability or versatility
If operators interact with field devices from various companies, then diverse industrial processes can be monitored, but operators face potential mistakes due to different structured formats from each company
Solution Approach 1:
The natural language processing system acts as a mediator that handles the complexity of different company-specific formats. It translates between natural language and various proprietary formats automatically, allowing the system to adapt to diverse devices without exposing operators to format-related errors.
3Productivity
If operators navigate through detailed menus of software programs to interact with field devices, then functions can be performed, but operators require significant time and effort to learn and navigate the menus
Solution Approach 1:
The system replaces the mechanical navigation through detailed software menus with a natural language processing interface. Instead of requiring operators to physically navigate through hierarchical menu structures, they can directly issue commands in natural language, which are then translated into the appropriate device instructions, significantly reducing training time while maintaining full functionality.
Data Source
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AI summary
The invention relates to a system and method for interactively communicating with a field device of an industrial automation system for performing a function in relation to monitoring and controlling an industrial process of a power plant. The field device is associated with a gateway interface device (GID) including NLP algorithm, and communicatively coupled to an interactive device. The GID receives a first instruction associated with the function in relation to monitoring and controlling the industrial process, in natural language format, and converts the first instruction into a second instruction based on the NLP algorithm, where the second instruction has structured format native to the field device. The GID sends the second instruction to the field device for performing the function, receives an information associated to the function performed by the field device, and sends the information for displaying in the interactive device, the function performed by the field device.