Content Descriptor Indexing for Industrial Data Retrieval
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Solution Overview
Problem
Conventional industrial data retrieval systems are inefficient in handling vast volumes of data from sensors and control elements, requiring knowledge of tag properties to search and retrieve data, and can only return data for a single tag at a time, making it difficult to manage and access complex industrial process data effectively.
Innovation Solution
The implementation of a historian system that uses content descriptors to describe and index data values from process devices, allowing for secure storage and efficient retrieval of data through a content descriptor search index module, which formats and indexes data in a language-independent format for quick and comprehensive searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional data retrieval techniques are used, then data can be retrieved using tag properties, but the system can only return data for a single tag at a time and requires knowledge of tag properties
Solution Approach 1:
The patent introduces content descriptors as an intermediary layer between the user and the tag data. Instead of directly querying tags using their properties, users search for content descriptors that represent the desired information. The system then uses these descriptors to retrieve and aggregate relevant tag data, enabling natural language-style searches without requiring knowledge of tag properties.
Solution Approach 2:
The content descriptor system provides multi-functionality by enabling both single-tag and multi-tag retrieval through a unified search interface. A single content descriptor can aggregate data from multiple tags, allowing the system to return comprehensive results for complex queries while maintaining the ability to retrieve individual tag data when needed.
2Productivity
If conventional techniques are used, then data storage is simple, but searching and retrieving data becomes inefficient with vast volumes of information
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing content descriptors before they are needed for search operations. The content descriptor search index module pre-computes search indices based on the relationships between content descriptors and tag data, enabling rapid retrieval without performing complex computations at query time.
3Loss of time
If content descriptors are indexed for efficient searching, then data retrieval speed improves, but the system complexity increases
Solution Approach 1:
The patent segments the data management system into distinct functional components: an indexing queue for processing content descriptors, a search index module for storing organized data, and a retrieval system for querying results. This segmentation allows each component to be optimized independently and managed separately, reducing overall system complexity while enabling efficient data access.
Data Source
AI summary
Annotating content, comprising data values of one or more tags corresponding to a process device within a continuous process, with content descriptors in a historian system. Content descriptors enable indexing and saving content within a search service database for later retrieval by search strings that match the content descriptors. Content having one or more common content descriptors are retrieved and transmitted to a client computing device via a communications network for displaying in a dashboard on the client computing device.