3D Point Cloud Ownership Classification for Utility Attachments

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Solution Overview

Problem

Current management systems for electrical communication facilities struggle to determine the owner of branch lines and posts attached to facilities using solid models generated from three-dimensional point group data, leading to inefficiencies in design work.

Innovation Solution

An information processing apparatus and method that classify ownership by analyzing the positional relationship between columnar structures and attachments using techniques such as distance determination, reference axis analysis, and feature height comparison to accurately identify the owner of attachments like branch lines and posts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If solid models are generated from three-dimensional point group data to manage electrical communication facilities, then facility information such as position coordinates and deterioration status can be acquired, but the owner information of attachments like branch lines and posts cannot be determined

Engineering Contradiction:

Improveowner information of attachmentsVSAvoidcomplexity of ownership determination

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The ownership determination is segmented into distinct analysis steps: first determining the owner of the columnar structure, then analyzing the positional relationship between the columnar structure and attachment, and finally determining the attachment owner based on predetermined rules. This segmentation allows complex ownership determination to be broken down into manageable components that can be processed systematically.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The invention utilizes three-dimensional spatial relationships by analyzing the positional coordinates of attachments relative to columnar structures in 3D space. By examining spatial dimensions and distances between objects, the system can infer ownership relationships that cannot be determined from two-dimensional facility databases alone.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Productivity

If manual methods are used to determine owner information of attachments, then accurate ownership can be identified, but the design work becomes time-consuming and inefficient

Engineering Contradiction:

Improveefficiency of design workVSAvoidaccuracy of owner determination

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system performs self-service by automatically determining ownership information through algorithmic analysis of spatial relationships. The predetermined rules for determining attachment owner based on positional relationships enable the system to autonomously make ownership determinations without requiring manual investigation, thereby improving productivity while maintaining consistency in accuracy.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual investigation methods are replaced with automated computational analysis. The system uses computer-based algorithms to analyze three-dimensional point group data, calculate spatial relationships, and determine ownership according to predetermined rules, substituting human manual work with automated mechanical processing that is both faster and equally accurate.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Loss of time

If automated matching is used to identify facility information, then processing speed is improved, but owner information of attachments cannot be determined

Engineering Contradiction:

Improvetime for owner determinationVSAvoidattachment ownership data

Core Design Contradiction:

Loss of timeVSLoss of information

Solution Approach 1:

The system performs preliminary analysis by first determining the owner of the columnar structure and establishing the spatial relationship between the columnar structure and attachment before finalizing the attachment owner determination. This preliminary action allows the system to efficiently process ownership information in a structured sequence, reducing overall determination time while ensuring no information is lost.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The spatial relationship between the columnar structure and attachment serves as an intermediary element that connects the known information (columnar structure owner) to the unknown information (attachment owner). By analyzing this intermediate positional relationship, the system can infer attachment ownership without direct observation, efficiently bridging the information gap.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12135200B2Information processing equipment, information processing methods, and programs

Publication Date: 2024.11.05 NIPPON TELEGRAPH & TELEPHONE CORP

AI summary

An object of the present invention is to provide an information processing apparatus, an information processing method, and a program, which are capable of determining an owner of an attachment attached to a facility using a solid model of a facility extracted from three-dimensional point group data. The present invention determines the owner of the attachment from a planar positional relationship between the solid model of a columnar structure and the solid model of the attachment in the solid model. For example, a distance between a utility pole and a center of a point (a center of a ground boundary) at which a branch line or a post reaches a ground is acquired, and whether the branch line or the post is owned by a communication company or an electric power company is determined based on whether the distance exists in a constant threshold determined by the communication company or the electric power company.