Request-ID Sampling for Tracking Control Process States
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Solution Overview
Problem
Existing control device technologies struggle with identifying inputs for data sampling, leading to challenges in tracking temporal changes in internal data effectively.
Innovation Solution
A control device with an input interface, output interface, sampling means, and control means that associate request identifiers with input information, process state information, and output information to enhance data tracking, and includes mechanisms for storing and managing sampling data based on request identifiers and event monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sampling data is stored for tracking purposes, then temporal changes can be monitored, but data volume grows unnecessarily large
Solution Approach 1:
The patent extracts and stores only the essential identifying information (request identifier) rather than storing complete copies of all input data. The sampling means generates compact request identifiers that uniquely identify input information and associates these minimal identifiers with sampling data. This extraction approach maintains the ability to track temporal changes while significantly reducing the storage volume required compared to storing complete input datasets.
Data Source
AI summary
A control device includes an input interface to receive input information from an input device, an output interface to output output information to an output device, a sampler that generates a request identifier uniquely identifying the input information and sampling data in which the input information and the request identifier are associated with each other and stores the sampling data into a storage, and a controller that processes the input information associated with the request identifier as a request, generates process state information about a process, and causes the output interface to output a result of the process as the output information. The sampler further associates at least one of the process state information or the output information with the sampling data and stores the sampling data into the storage.