Centralized Data Model for Environment Alert Impact
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for managing environment-related data lack a centralized point of truth, continuity during ownership transfers, data transparency regarding risk impacts, and real-time updates, failing to accurately determine the impact of degradation or deferred maintenance on environment values.
Innovation Solution
A centralized and dynamically updatable system for monitoring data, which improves alert impact data generation even with limited data availability, enabling different views based on user roles and providing access to various data insights throughout the ownership lifecycle, including acquirer, maintainer, and divester views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data aggregation is centralized, then data transparency and real-time updates are improved, but system complexity and integration requirements increase
Solution Approach 1:
The patent introduces a data model as an intermediary layer between disparate data sources and users. This data model acts as a mediator that standardizes environmental data from multiple sources, transforming them into a unified structure that can be consistently queried and visualized, thereby achieving transparency without requiring complex direct integration between all systems
Solution Approach 2:
The system segments data management into distinct components: data collection from various sources, data modeling/standardization, data storage, and data visualization. This segmentation allows each component to be optimized independently and reduces the complexity of integrating all data sources while maintaining centralized access
2Measurement precision
If real-time data monitoring is implemented, then data freshness and accuracy are improved, but computational resources and processing complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-defining the data model structure, field types, and relationships before data ingestion. This allows incoming data to be rapidly validated and transformed according to predetermined schemas, reducing real-time processing complexity while maintaining accuracy
Solution Approach 2:
The system changes parameters by transforming diverse data formats into a standardized internal representation defined by the data model. This parameter transformation enables efficient storage and retrieval while maintaining data accuracy, reducing the computational burden of handling multiple data formats simultaneously
3Adaptability or versatility
If multiple data views for different users are provided, then user-specific information access is improved, but data structure complexity and access layer complexity increase
Solution Approach 1:
The patent implements universality by designing a single, unified data model that serves multiple user roles and purposes. The same standardized data structure provides information for acquirers, maintainers, and divesters respectively, eliminating the need for separate data structures for each user type while maintaining role-specific access capabilities
Data Source
AI summary
Embodiments of the present disclosure receive and process various monitored data, including real-time monitored data and/or non-real-time monitored data, to generate alert impact data associated with one or more environments. Some embodiments receive, at least one alert associated with operation of an environment, the at least one alert determined based at least in part on real-time monitored data captured via at least one system in the environment; apply the at least one alert to a model that determines alert impact data based at least in part on the at least one alert; determine environment value data based at least in part on the alert impact data; and output at least the environment value data.