Hydraulic Shovel Component Life Span Estimation

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Solution Overview

Problem

Existing methods for estimating the life spans of components in operating machines are inaccurate due to variations in usage modes and require complex criteria, leading to inconsistent maintenance schedules.

Innovation Solution

An operating machine with a storage unit and arithmetic and control unit that classifies usage modes based on operation history and calculates life spans for each mode, improving accuracy by estimating life spans specific to each usage condition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If statistical processing is carried out on operating machines subject to different use conditions, then life span estimation can be performed, but the accuracy varies depending on usage mode and the criteria become complicated

Engineering Contradiction:
Improvelife span estimation accuracyVSAvoidcriteria complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the population of operating machines by classifying them into distinct usage modes based on operation history analysis. This segmentation allows for separate life span estimation for each usage mode, improving accuracy while avoiding the need for complex mixed-mode criteria. The arithmetic and control unit automatically performs this classification and selects appropriate estimation criteria.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter of estimation accuracy by adapting the life span estimation criteria to match the specific usage mode parameters. Instead of using a single complex criteria set for all machines, the system selects appropriate criteria based on the detected usage mode, thereby improving accuracy without requiring the end user to manage complex criteria.

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If periodic maintenance is performed based on operating time, then maintenance scheduling is simple, but it does not account for variations in actual component wear due to different operating conditions

Engineering Contradiction:
Improvemaintenance scheduling simplicityVSAvoidcomponent failure prediction accuracy
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The operating machine performs self-diagnosis and self-assessment of component life span by automatically analyzing its own operation history and comparing it against appropriate criteria. The arithmetic and control unit calculates the operating time in each usage mode and estimates component life span without external intervention, enabling the machine to self-determine its maintenance needs based on actual wear conditions.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback by continuously monitoring operation history, classifying usage modes, and adjusting life span estimation accordingly. This feedback loop allows the maintenance scheduling to adapt to actual operating conditions, improving reliability while maintaining ease of operation through automated decision-making.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9292011B2Operating machine and maintenance and inspection information generating apparatus
Publication Date: 2016.03.22 HITACHI CONSTRUCTION MACHINERY CO LTD
  • US9292011B2 patent drawing
  • US9292011B2 patent drawing
  • US9292011B2 patent drawing

AI summary

A hydraulic shovel includes: a storage unit which stores an operation history of a target component of the shovel targeted for life span estimation, a discrimination threshold value used for classifying usage of the target component into a plurality of usage modes based on the operation history, and a usage mode-specific estimated life span indicative of an estimated life span of the target component in each of the usage modes; and an arithmetic and control unit which calculates an operating time of the target component in each of the usage modes in accordance with the operation history and the discrimination threshold value, and estimates the life span of the target component based on the operating time calculated for each of the usage modes and on the usage mode-specific estimated life span.