Data Distribution System for Geographically Specific Data Sharing
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Solution Overview
Problem
There is a need for efficient sharing and distribution of geographically specific data among organizations, as existing systems struggle to locate and utilize relevant data from various locations, leading to overlapping data production and inefficient use.
Innovation Solution
A data distribution system where operations centers share and negotiate the exchange of locally collected data using a cloud computing environment, with data exchange agents publishing and subscribing information, and a negotiation unit managing matched data transfers between centers, optimizing data reuse and production costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operations centers collect and process voluminous local data independently, then local emergency response capability is improved, but data production costs increase and data overlap occurs across multiple locations
Solution Approach 1:
The patent implements a data exchange agent that enables operations centers to share geographically specific data across multiple locations. The system allows a single data collection effort to serve multiple operations centers, making the data collection function universal rather than redundant at each location. This resolves the contradiction by maintaining reliable local response capability while eliminating duplicate data production costs through shared data resources.
Solution Approach 2:
The patent merges data collection and processing resources across multiple operations centers by implementing a centralized data exchange mechanism. Instead of each center independently collecting and processing the same types of data, the system combines efforts through a publication-subscription model where data is published once and subscribed to by multiple centers, reducing overall production costs while maintaining local response capability.
2Measurement precision
If operations centers independently process local data, then local data quality and relevance are maintained, but data sharing and utilization across locations is inefficient
Solution Approach 1:
The patent introduces a data exchange agent as an intermediary between operations centers that maintains data quality while enabling efficient sharing. The agent acts as a mediator that receives data from local sources, processes and validates it to maintain quality standards, then distributes it to subscribing operations centers. This resolves the contradiction by preserving data quality through controlled intermediary processing while dramatically improving sharing efficiency across locations.
Solution Approach 2:
The patent implements preliminary data processing and validation at the source operations center before distribution. The data exchange agent performs quality assurance, formatting, and preparation work in advance, so that subscribing centers receive ready-to-use data without needing to perform redundant quality control operations. This maintains high data quality standards while improving overall sharing efficiency by eliminating repetitive processing at each receiving center.
3Loss of information
If data is distributed to all operations centers, then data availability is improved, but network bandwidth and system resources are consumed
Solution Approach 1:
The patent implements a subscription-based data distribution model where each operations center receives only the specific data types and geographic regions relevant to its local needs. Instead of distributing all available data to all centers, the system tailors data delivery to local requirements, improving data availability for relevant information while reducing network bandwidth consumption by eliminating unnecessary data transfers to centers that don't need specific data types.
4Loss of energy
If operations centers share data resources, then production costs are reduced, but system complexity and coordination requirements increase
Solution Approach 1:
The patent implements an automated data exchange system where operations centers independently publish their available data and subscribe to needed data through a standardized interface. The data exchange agent automatically manages data routing, quality validation, and distribution without requiring manual coordination between centers. This reduces production costs through resource sharing while minimizing system coordination complexity by enabling self-service data exchange with automated management of the sharing process.
Data Source
AI summary
A data distribution system, method and a computer program product therefor. Computers provisioned with operations centers supporting individual locations share resources with organizations in multiple locations. Each operations center receives and evaluates local information for the supported location and selectively provides evaluated information for reuse by other locations. A data exchange agent in each operations center publishes information available from a supported location to a publication subscription unit. The operations center also subscribes to the publication subscription unit for information available from other locations. The publication subscription unit identifies matches between subscriptions and publications. A negotiation unit negotiates matched information transfers between operations centers.