Interchangeable Industrial Analytics Deployment Platform
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current analytics solutions for industrial machines are costly due to the need for custom-written versions for each location, leading to high production and utilization costs, and dissatisfaction with existing approaches.
Innovation Solution
Deploying interchangeable analytics that can operate both in the cloud and at industrial machine sites using a computerized industrial Internet of Things analytics platform, allowing the same version of analytics to communicate with various connectors and databases, reducing the need for custom-written versions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom-written analytics are created for each location, then the analytics can be tailored to fit the nuances of a particular operating environment, but the cost of producing and utilizing analytics becomes high
Solution Approach 1:
The patent implements a universal analytics platform that can be deployed across multiple locations and operating environments without requiring custom development for each site. The system uses standardized connectors that can interface with different databases and data formats, allowing a single analytics version to serve multiple purposes and locations, thereby reducing production costs while maintaining adaptability through configuration rather than custom coding.
2Adaptability or versatility
If analytics are deployed at various locations with different databases and data formats, then the analytics can serve multiple locations, but custom-writing is required for each location increasing complexity
Solution Approach 1:
The patent introduces standardized connectors as intermediary components that sit between the analytics engine and various data sources. These connectors handle the complexity of interfacing with different databases and data formats, allowing the core analytics to remain simple and location-agnostic. The connectors translate and normalize data from different sources into a unified format that the analytics can process, thereby reducing overall system complexity while enabling multi-location deployment.
3Adaptability or versatility
If custom analytics are written for each location, then the analytics fit the specific operating environment, but the user experience deteriorates due to high costs and customization requirements
Solution Approach 1:
The patent enables the deployment of identical analytics copies across multiple locations without requiring custom development at each site. The standardized connectors and platform architecture allow a single analytics version to be copied and deployed universally, reducing costs and simplifying operations. The system maintains adaptability to different operating environments through configurable parameters and standardized interfaces rather than through custom coding, thereby improving user experience.
Data Source
AI summary
A location where to deploy an analytic is determined. The location is at the cloud or at the site of the industrial machine. The analytic is configured to process data from an industrial machine. The analytic is obtained and is configured to communicate with one or more connectors. A first selected one of the one or more connectors is configured to communicate with a database. The analytic is configured so as to be interchangeable and operable at the cloud or at the site of an industrial machine. The analytic is then deployed at one or more of the cloud or the site of the industrial machine.