Construct Information Management via Spatiotemporal Data Mapping

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Solution Overview

Problem

Existing systems face challenges in effectively utilizing sensor information and construction data from various organizations, making it difficult to integrate and manage different types of data related to constructs such as underground pipes and road constructions.

Innovation Solution

A construct information management system that collects and maps diverse source data onto a spatiotemporal model, allowing for the processing and output of relevant data to assist in maintenance activities and risk management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If sensor information and construction data from various organizations are shared on a map, then information accessibility is improved, but data integration capability deteriorates due to inability to utilize information from different types of sensors and systems

Engineering Contradiction:
Improveinformation accessibilityVSAvoiddata integration capability
Core Design Contradiction:
Loss of informationVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal data management platform that can handle multiple types of data (sensor data, construction data, maintenance data) from various organizations through a common interface. The system uses standardized data structures and a unified database schema that accommodates diverse data sources, enabling one system to serve multiple functions and integrate different data types effectively.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an intermediary data management layer between different organizations' systems and the final application. This intermediary platform includes data collection units, conversion units, and management units that translate and standardize data from various sources before integration, acting as a mediator that enables communication between incompatible systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Quantity of substance

If multiple types of source data from different constructs are collected and mapped, then data comprehensiveness is improved, but system complexity increases

Engineering Contradiction:
Improvedata comprehensivenessVSAvoidsystem complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent divides the complex data management system into distinct functional modules: data collection units for different data sources, data conversion units for standardization, data management units for storage and processing, and application units for specific uses. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining comprehensive data capabilities.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent employs parameter changes by transforming diverse data from different sources into a standardized format with unified parameters and structures. The system converts various data types into common data models with consistent schemas, enabling comprehensive data collection without proportionally increasing system complexity through standardization.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11935012B2Construct information management system and method
Publication Date: 2024.03.19 HITACHI LTD
  • US11935012B2 patent drawing
  • US11935012B2 patent drawing
  • US11935012B2 patent drawing

AI summary

A construct information management system and method for enabling handling of different types of data is provided.A construct information management system 1 for managing information related to a construct includes: a data collection unit 11 configured to collect different types of source data related to different types of constructs from prescribed data sources 2A, 2B, 3A, 3B and retain the collected source data; and a data management unit 12 configured to map the collected source data onto a prescribed spatiotemporal model, acquire prescribed data associated with input data on the basis of at least mapping information on the prescribed spatiotemporal model, and process and output the acquired prescribed data.