Automated Geospatial Workflow Bundling via Service Architecture
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Solution Overview
Problem
Traditional systems for processing geospatial data are manually intensive due to the complexity of data sources and processing requirements, limiting efficiency and scalability.
Innovation Solution
An enterprise geospatial intelligence service-oriented architecture (EGI-SOA) that autonomously determines and provides tailored geospatial products by transforming data sources into context-aware products, using workflows and event-driven processes to support dynamic consumer requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual processing methods are used for geospatial data, then processing can be performed with simple systems, but productivity is low and the system cannot scale efficiently
Solution Approach 1:
The patent segments the geospatial data processing system into modular service-oriented architecture components, where each service handles specific processing tasks independently. This allows the system to scale by adding or removing individual services rather than redesigning the entire system, thereby improving productivity while managing complexity through modular design.
Solution Approach 2:
The patent implements a universal service-oriented architecture where generic processing services can handle multiple types of geospatial data and operations. These services are designed to be reusable across different applications and data sources, improving overall system productivity without requiring separate manual processing systems for each task.
2Adaptability or versatility
If manual processing operations are used, then system complexity can be kept simple, but the system lacks adaptability to handle diverse consumer requests
Solution Approach 1:
The patent implements dynamic service composition where processing workflows are assembled automatically based on consumer requests and data availability. The system can dynamically select and combine appropriate services from the service registry to fulfill specific tailored product requests, providing high adaptability without requiring complex hard-coded processing logic for each scenario.
Solution Approach 2:
The patent introduces a service registry and orchestration layer that acts as an intermediary between consumer requests and processing services. This intermediary manages the complexity of coordinating multiple services, matching requests to appropriate services, and handling data flow between components, thereby enabling versatile tailored product production while shielding consumers from underlying system complexity.
3Extent of automation
If automated workflows are implemented to improve productivity, then manual intervention is reduced, but the system requires complex workflow management mechanisms
Solution Approach 1:
The patent implements self-service automated workflows where the system automatically discovers available services, composes processing pipelines, and executes transformations without human intervention. The service-oriented architecture enables workflows to self-configure based on data characteristics and consumer requirements, achieving high automation while reducing workflow management complexity through autonomous service selection and coordination.
Data Source
AI summary
An enterprise geospatial intelligence service oriented architecture (EGI-SOA) provides a consumer with one or more tailored products in response to either a dynamic request or a standing request by the consumer.