Interactive HMI Diagnostics with Voice Input and Auto-Resolution
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Solution Overview
Problem
Current human machine interface (HMI) systems in industrial automation face challenges with lengthy troubleshooting processes, leading to excessive downtime and costs due to the need for remote technical support and manual intervention for diagnosing and resolving issues.
Innovation Solution
An interactive diagnosis system that includes a data capture component to gather HMI system information and a diagnostic component that uses user input, via an interactive voice response system, to selectively request and apply solutions from a software vendor database, potentially contacting technical support if necessary, to automatically diagnose and resolve issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual troubleshooting processes are used with technical support staff, then diagnostic accuracy can be achieved, but troubleshooting time and system downtime increase significantly
Solution Approach 1:
The system enables self-diagnosis through an automated diagnostic engine that collects system data, analyzes logs, and identifies issues without requiring technical support staff intervention. The HMI system automatically performs troubleshooting functions that traditionally required human operators, thereby reducing both troubleshooting time and dependency on external support while maintaining diagnostic accuracy through structured analysis protocols.
Solution Approach 2:
The system continuously collects and stores system data, logs, and operational parameters in advance before problems occur. This preliminary data gathering enables rapid diagnosis when issues arise, as the diagnostic engine already has access to relevant system state information, eliminating the need for manual data collection during troubleshooting and significantly reducing resolution time.
2Reliability
If remote technical support and manual intervention are used, then complex problems can be diagnosed, but operational downtime and productivity loss increase
Solution Approach 1:
The automated diagnostic engine performs self-diagnosis and can automatically implement solutions from a knowledge base, eliminating the need for remote technical support intervention for routine issues. This self-service capability maintains reliable problem resolution for common faults while preventing operational downtime by resolving issues immediately without waiting for external support availability.
Solution Approach 2:
The system continuously monitors system parameters, operational status, and error logs, providing real-time feedback to the diagnostic engine. This ongoing feedback loop enables the system to detect and respond to issues as they develop, maintaining system reliability through continuous monitoring and enabling rapid productivity recovery by immediately implementing corrective actions when problems are detected.
3Loss of time
If automated diagnostic systems are implemented, then troubleshooting time is reduced, but system complexity and initial setup requirements increase
Solution Approach 1:
The diagnostic engine is designed as a universal platform that can handle multiple types of HMI systems, communication protocols, and故障 scenarios through a single integrated architecture. This multi-functionality reduces the need for separate diagnostic tools for different system configurations, thereby managing complexity while maintaining rapid diagnosis capabilities across diverse industrial automation environments.
Solution Approach 2:
The system introduces a standardized data interface layer that mediates between the diverse HMI system components and the diagnostic engine. This intermediary layer translates various system-specific data formats into a unified structure that the diagnostic engine can process, thereby reducing the complexity burden on the core diagnostic functionality while enabling rapid analysis of heterogeneous system data.
4Ease of repair
If self-help capability is provided to users, then external technical support requirements are reduced, but user interface complexity and interaction requirements increase
Solution Approach 1:
The system provides self-diagnosis capability through an automated engine that guides users through minimal interaction steps. The engine autonomously collects system data, analyzes issues, and presents simple diagnostic results with recommended actions, enabling users to perform self-repair without requiring deep technical knowledge or complex interaction sequences, thereby maintaining ease of operation while enhancing self-help capability.
Solution Approach 2:
The user interface is segmented into simple, discrete interaction steps that guide users through the diagnostic process without overwhelming them. Each interaction step presents a single clear action or information request, breaking down the complex self-diagnosis function into manageable segments that maintain ease of operation while enabling comprehensive self-help capability.
Data Source
AI summary
A system(s) and method(s) that facilitates diagnosing a HMI system and automatically applying a solution to correct and/or update the HMI system. According to a feature is an interactive diagnosis system for an human machine interface (HMI) system. The interactive diagnosis system includes a data capture component that captures HMI system information and a diagnostic component that accepts a user input relating to an HMI system and receives the HMI system information from the data capture component. The user input can be communicated through an interactive voice response system. Also included in the interactive diagnosis system is an engine component that receives the user input and based in part on the captured HMI system information selectively requests diagnostic and solution information from a data source and automatically applies the solution to the HMI system.