Dynamic Consumer Metamodel for Targeted Information Distribution
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Solution Overview
Problem
Current information distribution systems are inefficient due to the lack of customization in consumer attributes, leading to redundant data distribution and manual consumer creation, which is impractical for large-scale scenarios, and they fail to adapt to changing organizational structures and business strategies.
Innovation Solution
A consumer metamodel definition is created with customizable consumer attributes, allowing for automatic device registration and data distribution based on dynamic consumer characteristics, enabling targeted data delivery and efficient management of large numbers of devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all information is distributed to every device, then complete information availability is achieved, but storage capacity and bandwidth requirements increase unnecessarily
Solution Approach 1:
The patent applies local quality by distributing different subsets of information to different devices based on their specific consumer attributes. Each device receives only the information relevant to its characteristics (such as consumer type, region, permissions), rather than receiving all information uniformly. This selective distribution reduces storage and bandwidth requirements while ensuring each device has complete information for its specific needs.
2Device complexity
If consumer attributes are fixed and non-customizable, then system simplicity is maintained, but filtering effectiveness decreases leading to redundant data distribution
Solution Approach 1:
The patent implements dynamics by making consumer attributes customizable and dynamic rather than fixed. The system allows definition of multiple consumer attributes (such as consumer type, region, permissions, hierarchy) that can be configured and modified based on organizational needs. This dynamic attribute system enables effective filtering of information while maintaining manageable system complexity through structured attribute definitions and automated processing.
3Reliability
If manual consumer creation and registration is used, then consumer information accuracy is ensured, but time consumption increases significantly for large numbers of consumers
Solution Approach 1:
The patent applies self-service by enabling automated consumer creation and registration. The system can automatically generate consumer profiles based on defined attributes and organizational data, eliminating the need for manual administrator intervention for each consumer. This automated process maintains information accuracy through structured attribute definitions and validation rules while dramatically reducing the time required to onboard large numbers of consumers.
4Device complexity
If a fixed set of consumer attributes is used, then system maintenance is simplified, but adaptability to changing organizational structures decreases
Solution Approach 1:
The patent resolves this contradiction by implementing a dynamic consumer attribute system that can be configured and modified based on organizational needs. Multiple consumer attributes (consumer type, region, permissions, hierarchy levels) can be defined and adjusted without requiring system redesign. This allows the system to adapt to changing organizational structures while maintaining manageable complexity through automated processing and structured attribute management.
Solution Approach 2:
The patent applies universality by creating a multi-functional consumer attribute framework that serves multiple purposes. The same attribute system supports various distribution scenarios, organizational structures, and consumer types simultaneously. This universal framework can be configured for different business units, hierarchical levels, and information types, reducing the need for multiple specialized systems while maintaining adaptability to changing requirements.
Data Source
AI summary
A method and system for distribution of information is provided. A consumer metamodel definition for a device is created, wherein the consumer metamodel definition has consumer attribute. The consumer metamodel is then customized by editing the consumer attribute. A device inventory is then generated for the device by downloading a device information from a device information store, wherein the device has at least the consumer attribute of the consumer metamodel.


