Occurrence Data Retrieval System with Pattern Recognition

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Solution Overview

Problem

The increasing volume of data generated by distributed sensor networks poses challenges in efficiently retrieving and managing occurrence data from numerous remote sensor devices, particularly in terms of data storage and security, as existing systems lack effective mechanisms for pattern recognition and access control.

Innovation Solution

An occurrence-data retrieval system that includes a data storage device for storing instances of occurrence data, a central computing device for communication, and instructions for selecting pattern recognition criteria based on input selections, enabling automatic search and output provision of correlating data while ensuring information security measures protect against unauthorized access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If the volume of data from distributed sensor networks is increased to improve monitoring coverage and detection capability, then the quantity of occurrence data increases, but the difficulty of retrieving and managing this data increases

Engineering Contradiction:
Improvevolume of occurrence dataVSAvoiddifficulty of retrieving and managing data
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent segments occurrence data into discrete instances with standardized structures, each containing representative features and temporal/spatial metadata. This segmentation enables systematic organization of large volumes of data while maintaining retrievability through indexed access patterns.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-defining occurrence templates and representative features before data collection. This allows automated classification and indexing of occurrence data as it is generated, reducing the complexity of retrieval operations later.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If pattern recognition capabilities are added to automatically search occurrence data, then the productivity of data retrieval improves, but the device complexity increases

Engineering Contradiction:
Improveefficiency of data retrievalVSAvoidcomplexity of search system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The pattern recognition system operates autonomously by automatically selecting patterns from predefined templates and executing searches without requiring manual query formulation. The system self-manages the retrieval process, improving productivity while containing complexity within automated modules.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system changes search parameters dynamically by selecting different pattern templates and criteria based on the retrieval request. This allows flexible and efficient data retrieval across different occurrence types without requiring complex query languages or manual parameter configuration.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If access control measures are implemented to protect occurrence data, then information security improves, but the ease of operation for authorized users decreases

Engineering Contradiction:
Improveinformation securityVSAvoidease of data access
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces an intermediary access control layer that mediates between authorized users and occurrence data. This layer handles authentication and authorization automatically, providing security while maintaining ease of operation for users who possess proper credentials.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The access control system operates autonomously by automatically verifying user credentials and permissions without requiring manual security checks. Authorized users experience seamless access while the system maintains security through automated verification mechanisms.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS9261383B2Discovery of occurrence-data
Publication Date: 2016.02.16 ALARM COM INC
  • US9261383B2 patent drawing
  • US9261383B2 patent drawing
  • US9261383B2 patent drawing

AI summary

Methods, devices, and systems for discovery of electronic occurrence-data, including data protected by an information security measure. In an approach, an exemplary system includes data storage operable to store a plurality of instances of occurrence-data, each instance of the occurrence-data having a representative feature, a central computing device operable to communicate with the data storage, and instructions that cause a computing device to perform steps. The steps include receive from an input-selector an input selection corresponding to a target-occurrence having a representative feature, and select a pattern recognition criteria corresponding to the representative feature of the target-occurrence.