Database Reconciliation for Construction Data Accuracy

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Solution Overview

Problem

Construction projects face inefficiencies due to incompatible electronic databases among contractors, suppliers, and project owners, leading to manual intervention and labor-intensive processes for verifying project specifications and payment, which are time-consuming and prone to errors.

Innovation Solution

A database reconciliation system that automatically associates observational data from construction devices with project specifications, using a server to store and compare data, and a comparator to verify compliance with project requirements, facilitating digital connections and streamlining the payment process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual intervention is used to reconcile data from incompatible databases, then data accuracy can be verified, but labor time and processing speed decrease significantly

Engineering Contradiction:
Improvedata accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical data reconciliation processes with automated electronic data processing systems. The system uses software algorithms to automatically compare, match, and reconcile data from incompatible databases, substituting human manual intervention with automated computational processes that achieve both accuracy and speed.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates a universal data reconciliation system that can handle multiple different database formats and structures simultaneously. The system is designed to work with various incompatible database types from different contractors and suppliers, providing a multi-functional platform that standardizes data exchange across diverse sources without requiring manual adaptation for each source.

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

2Adaptability or versatility

If multiple incompatible electronic databases are maintained by different parties, then each party can store and manage their data independently, but manual intervention is required to facilitate information exchange

Engineering Contradiction:
Improvedata independenceVSAvoidinformation exchange
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent introduces an intermediary data reconciliation system that sits between the incompatible databases of contractors, suppliers, and project owners. This intermediary system automatically translates, matches, and reconciles data from different sources, enabling seamless information exchange while preserving the independence of each party's database. The intermediary eliminates the need for manual data transfer between incompatible systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of manufacture

If paper haul tickets are used for construction material tracking, then data can be manually sorted and processed, but labor intensity and error rates increase

Engineering Contradiction:
Improvedata processing capabilityVSAvoidprocessing efficiency
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The patent replaces manual paper-based data processing with automated electronic data capture and processing systems. The system uses electronic sensors, scanners, and software to automatically capture haul ticket information and process it through digital workflows, eliminating manual sorting and data entry operations while improving both capability and efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11748675B1Construction site automatic telematic data to project specification requirements reconciliation system
Publication Date: 2023.09.05 HAUL HUB INC
  • US11748675B1 patent drawing
  • US11748675B1 patent drawing
  • US11748675B1 patent drawing

AI summary

A database reconciliation system stores construction project data, including project specification data for each of a plurality of projects and contractor data for each of a plurality of contractors. A server automatically receives observational data from a set of construction devices and stores the observational data in an electronic database. Each observational datum represents an aspect of a respective construction site, such as activity by construction equipment. The server associates the observational data with contractors, and a data reconciliation module automatically associates the observational data with projects. A comparator automatically identifies a respective project specification requirement in the project specification data of the associated project for which the observational datum provides evidence that the project specification requirement has been met. For met requirements, the comparator stores requirement completion confirmation data in the electronic database for the respective project specification requirement and the associated contractor, thereby providing backing documentation for payments between project stakeholders.