Visual Diagnostic System for Machine Component Identification
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Solution Overview
Problem
Existing machine diagnostic systems fail to provide sufficient information for operators to diagnose and remedy issues independently, leading to significant machine downtime and economic losses, especially in industries like construction and transportation, as they require service center visits and part procurement.
Innovation Solution
A visual diagnostic system with onboard sensors and a user interface that displays three-dimensional models of machine components, allowing operators to detect status and order replacement parts directly, utilizing an off-board control system for subscription-based services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional diagnostic systems are used, then service centers can repair machines, but machine downtime increases due to appointment scheduling and part procurement delays
Solution Approach 1:
The system performs preliminary diagnostic actions by automatically detecting abnormal operating conditions and identifying failed components before the operator needs repair. The visual diagnostic system pre-identifies the failed component and provides a parts list, allowing parts to be ordered in advance before the operator arrives at the service center, thereby reducing waiting time for part procurement.
Solution Approach 2:
The patent introduces an intermediary diagnostic system that bridges the gap between the operator and the service center. This intermediary system automatically detects failures, provides visual identification of failed components, generates parts lists, and transmits diagnostic information to the service center beforehand, eliminating the need for the operator to physically transport the machine or wait for manual diagnosis.
2Ease of operation
If operators are provided with diagnostic information, then self-diagnosis becomes possible, but the system complexity increases requiring visual identification capabilities
Solution Approach 1:
The system creates a visual copy or representation of the machine's component structure through a parts list and diagnostic interface. Instead of requiring the operator to physically inspect complex mechanical systems, the system generates a simplified visual model showing component locations, failure points, and part relationships, making diagnosis accessible to operators without specialized training.
3Difficulty of detecting and measuring
If visual diagnostic information is provided, then component identification becomes easier, but the information processing requirements increase
Solution Approach 1:
The system extracts only the essential diagnostic information needed for component identification and presents it in a simplified visual format. Rather than processing and displaying all possible diagnostic data, the system selectively extracts failure information, component location data, and parts list details, reducing information processing requirements while maintaining effective component identification.
Data Source
AI summary
A visual diagnostic system is disclosed. The visual diagnostic system has a sensor located onboard a machine to generate a signal indicative of a status of a machine component, and a user interface associated with the machine to receive input from and provide information to a user. The visual diagnostic system also has a controller in communication with the sensor and the user interface. The controller is configured display on the user interface a model containing the machine component in response to the signal.