Augmented Virtual Model for Faster In-Building Service Calls
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Solution Overview
Problem
Traditional service calls are inefficient, often relying on guesswork by technicians to diagnose and solve equipment issues, as they lack precise information about the equipment's history and location within a structure.
Innovation Solution
An Augmented Virtual Model (AVM) is generated to represent a structure's As Built and Experiential Data, allowing technicians to locate equipment accurately and access historical information, instructional guides, and real-time data for efficient service calls, using sensors and smart devices to monitor conditions and automate repair requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional service call methods are used, then technicians can respond to equipment issues, but diagnostic time is extended and repair accuracy is reduced due to lack of precise information
Solution Approach 1:
The system performs preliminary actions by automatically generating service calls, providing technicians with pre-assembled equipment history, location data, and diagnostic information before they arrive at the site. This eliminates the need for technicians to spend time gathering basic information during the service call.
Solution Approach 2:
The system creates a digital copy of the equipment's complete history and status information, making it accessible to technicians through mobile devices. This digital replica contains all relevant data about the equipment's lifecycle, maintenance records, and current state, eliminating information loss.
2Manufacturing precision
If technicians rely on guesswork to diagnose equipment issues, then service calls can be conducted without advanced technology, but repair accuracy is significantly reduced
Solution Approach 1:
The system implements feedback by continuously monitoring equipment status through sensors and providing real-time data to technicians. This feedback loop delivers objective information about equipment performance, enabling accurate diagnosis rather than guesswork.
Solution Approach 2:
The system replaces the mechanical/guesswork-based diagnostic approach with an information-based system using sensors, data processing, and digital communication. This substitution transforms subjective guesswork into objective, data-driven diagnostics.
3Productivity
If no automated monitoring system is implemented, then the system remains simple, but service calls cannot be automatically requested and response efficiency is reduced
Solution Approach 1:
The system implements self-service by enabling equipment to automatically generate service calls when issues are detected. Sensors monitor equipment status and trigger service requests without human intervention, improving productivity while keeping the core mechanism relatively simple.
Solution Approach 2:
The system accelerates the service call process by using automated monitoring and alert systems that immediately detect and report equipment issues. This acceleration transforms a previously manual, slow process into an automated, rapid response system.
Data Source
AI summary
Method and apparatus for conducting a Service Call in a structure using orienteering methods. The AVM may assist in determining whether or when equipment needs repair and can automatically call a service technician. By referencing the AVM on a smart device, the technician can quickly and easily locate the equipment to be repaired. Additionally, the data contained within the AVM may provide valuable clues to solving any service-related problem. Technical walkthroughs may also be displayed on the service technician's smart device.