Metric Queue System for Automated Performance Evaluation
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Solution Overview
Problem
Current methods for evaluating task performance in computer-controlled systems are prone to errors due to human intervention, lacking a reliable and error-free mechanism for monitoring and evaluating metrics across a network of nodes.
Innovation Solution
A computer-controlled system that utilizes a wireless data collection device to generate a metric queue with components like date, time, geo-coordinates, and performance data, processed by a metric appliance with a time series database and blockchain capabilities to analyze and store trust notes and smart contracts, ensuring accurate and reliable metric evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to collect quality measures, then the system is simpler to operate, but the reliability and measurement precision deteriorate due to human error
Solution Approach 1:
The patent replaces manual mechanical data collection methods with an automated computer-controlled system that uses wireless devices, metric queues, and processing circuits to automatically gather, transmit, and evaluate performance metrics, eliminating human intervention errors while maintaining system functionality
Solution Approach 2:
The system performs self-service by automatically collecting its own metric data through wireless devices, storing it in metric queues, processing it through built-in circuits, and generating evaluations without requiring external manual intervention, thereby ensuring consistent and reliable measurements
2Measurement precision
If automated computer-controlled systems are used, then the reliability and measurement precision improve, but the device complexity increases
Solution Approach 1:
The patent segments the complex measurement system into distinct functional modules: wireless data collection devices, metric queue storage structures, processing circuits with specific evaluation algorithms, and output generation components. This segmentation allows each module to perform its specific function with high precision while managing overall system complexity through modular architecture
Solution Approach 2:
The computer-controlled system is designed with universal capabilities to handle multiple types of metrics and performance data through a single integrated architecture, where the same processing circuits can evaluate different metrics by loading different algorithms from the metric queues, reducing the need for separate specialized systems for each measurement type
3Loss of information
If manual data collection is used, then the ease of operation is maintained, but the loss of information increases due to human error
Solution Approach 1:
The patent replaces manual data collection with automated wireless devices that automatically gather metric information and transmit it to the processing system, eliminating transcription errors, omissions, and other information losses associated with manual handling while maintaining operational simplicity through automated operations
4Reliability
If a comprehensive automated system with blockchain is implemented, then the reliability and data integrity improve, but the device complexity and cost increase
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer between the metric collection and verification processes, where the distributed ledger serves as a trusted mediator that ensures data integrity and prevents tampering. The smart contracts act as automated intermediaries that enforce measurement protocols and validate data without requiring complex manual verification procedures
Solution Approach 2:
The system creates multiple copies of metric data across the blockchain network, where each node stores a copy of the verified measurements. This redundancy ensures data integrity through distribution rather than relying on a single central authority, and the immutable copies provide permanent records that cannot be altered or lost
Data Source
AI summary
A computer-controlled system for digitally evaluating one or more computer-executable and traceable metrics associated with a machine at a node. The system includes a computerized data collection wireless device for collecting digital data stored in the form of a plurality of computer-executable files from the machine. The computerized data collection wireless device includes a metric logistics device that generates a metric queue containing a plurality of computer-executable metric components storing information indicative of at least one of a date, time, geo-coordinates, machine identification details, and computer readable and executable performance data associated with the machine. The system includes a data aggregator and a computer-controlled metric appliance communicatively coupled to the data aggregator and receives the metric queue from the data aggregator. The computer-controlled metric appliance analyzes and processes the metric queue to generate an output that is indicative of whether the metric is achieved or not by the machine.