OT/IT Data Mapping for Industrial Automation Control
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Solution Overview
Problem
Industrial automation systems face challenges in efficiently integrating legacy systems with newer technologies, such as those in the IoT context, due to limitations in data transmission and integration between operation technology (OT) and information technology (IT) systems, particularly in managing and analyzing high-volume, diverse data from industrial automation environments.
Innovation Solution
An OT/IT mapping system that dynamically maps data between OT and IT networks during runtime, using microservices to automatically route and classify OT data without pre-defined point-to-point mappings, facilitating seamless integration and analysis across different data formats and volumes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-defined point-to-point data transmission techniques are used to connect OT devices to enterprise computing network devices, then integration between legacy systems and newer IoT technologies is achieved, but system complexity and difficulty of integration increase
Solution Approach 1:
The patent introduces an OT/IT mapping system that acts as an intermediary between OT devices and enterprise computing network devices. This mapping system dynamically translates and routes data between different protocols and formats, eliminating the need for complex pre-defined point-to-point connections while maintaining integration capability between legacy OT systems and modern IT/IoT technologies.
Solution Approach 2:
The mapping system provides universal data translation capabilities that can handle multiple data formats, protocols, and device types through a single unified interface. This multi-functional approach allows diverse OT devices to communicate with enterprise networks without requiring device-specific integration configurations, thereby reducing system complexity.
2Reliability
If pre-defined point-to-point data transmission techniques are used, then data transmission between OT and IT systems is established, but the difficulty of integration and adaptability to new technologies worsens
Solution Approach 1:
The mapping system dynamically adapts data transmission parameters, formats, and routing based on the specific requirements of connected devices and networks. Rather than relying on static pre-defined connections, the system automatically adjusts its translation and routing behavior to maintain reliable communication while accommodating new devices and technologies as they are added to the network.
3Measurement precision
If manual configuration of data routing is performed, then precise data transmission paths are established, but time consumption and operational efficiency decrease
Solution Approach 1:
The mapping system automatically performs self-configuration by detecting connected devices, determining appropriate data translation requirements, and establishing routing paths without manual intervention. This self-service capability maintains precise data routing while eliminating the time-consuming manual configuration process, as the system autonomously adapts to new devices and data flow requirements.
4Reliability
If legacy OT systems are integrated using traditional methods, then existing devices remain operational, but automation efficiency and data management capability are limited
Solution Approach 1:
The mapping system serves as an intermediary layer that enables legacy OT systems to operate reliably while simultaneously providing enhanced data management and automation capabilities. By translating and routing data through this intelligent intermediary, the system maintains compatibility with existing devices while enabling advanced analytics, monitoring, and control functions that improve overall automation efficiency.
Data Source
AI summary
A system may include a data delivery pipeline communicatively coupled to one or more microservices that receive a dataset transmitted through the data delivery pipeline. The system may also include a first microservice that receives a first dataset corresponding to operation technology (OT) data or information technology (IT) data and determines a second dataset based on the first dataset. The system may also include a second microservice that receives the second dataset from the first microservice via the data delivery pipeline, determines an action to perform in an industrial automation component of an industrial automation system based on an analysis of the second dataset, and transmits the action to the industrial automation component via the data delivery pipeline.