Centralized Error Detection for Networked Output Devices
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Solution Overview
Problem
Networked output devices in commercial and educational settings often fail to display identical content, leading to the potential display of embarrassing or inappropriate material, necessitating a method to remotely detect and correct discrepancies in output data.
Innovation Solution
An error detection system comprising a processor that aggregates output data from multiple networked devices, compares it with a sample, and signals discrepancies exceeding a threshold, allowing for defaulting to predetermined content to prevent unwanted output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If output data is transmitted to multiple networked devices, then content delivery is improved, but device complexity increases
Solution Approach 1:
A central server acts as an intermediary to manage content distribution to multiple networked output devices. The server aggregates output data and compares it with sample data from individual devices, eliminating the need for each device to perform complex self-diagnosis and enabling centralized error detection and correction.
Solution Approach 2:
The system implements feedback by continuously monitoring output data from networked devices, comparing it with expected samples, and providing correction signals when discrepancies are detected. This closed-loop approach ensures consistent content delivery while managing device complexity through centralized control.
2Reliability
If error detection is performed on each device, then reliability is improved, but measurement precision requirements increase
Solution Approach 1:
The central server serves as an intermediary that performs error detection by comparing output data from multiple devices with sample data. This approach improves reliability through centralized monitoring while reducing the measurement precision burden on individual devices, as they only need to transmit data rather than perform complex comparison operations.
3Productivity
If output data is aggregated from multiple devices, then productivity is improved, but device complexity increases
Solution Approach 1:
The central server acts as an intermediary that aggregates output data from multiple networked devices and performs comparison operations. This enables improved productivity through centralized data collection and analysis while keeping individual devices simple, as they only need to transmit their output data without performing complex aggregation or comparison functions.
Data Source
AI summary
Error detection systems and methods are provided. An error detection system (100) can include a plurality of networked output devices (110) and a processor (130) coupled via a network (120) to the plurality of output devices. The processor can be configured to aggregate output data (135) from at least a portion of a plurality of parallel, networked, output devices. The processor can be further configured to compare (140) the aggregated output data with an output data sample selected from one of the plurality of output devices and detect (145) a discrepancy between the output data sample and the aggregated output data. The processor can also be configured to compare (150) the detected discrepancy to a predetermined threshold and signal (155) when the detected discrepancy exceeds the predetermined threshold.