Radioactive Reactant Temperature Prediction via Trained Model

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Solution Overview

Problem

Current temperature measurement devices for radioactive melt in glass solidification processes face challenges due to high temperatures and corrosiveness, leading to reduced service life and safety concerns during operation.

Innovation Solution

A method and device for acquiring the temperature of different parts of a radioactive reactant using a temperature acquisition model trained with operating parameters, eliminating the need for direct manual temperature measurement and reducing operator exposure to radioactive operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If temperature measurement devices are used to directly measure radioactive melt temperature, then temperature data can be obtained, but the service life is reduced due to high temperature and corrosiveness

Engineering Contradiction:

Improvetemperature measurementVSAvoidservice life of measurement device

Core Design Contradiction:

Measurement precisionVSDuration of action of stationary object

Solution Approach 1:

The patent uses an intermediary approach by training a machine learning model with temperature data from measurement devices and operating parameters. The model then predicts temperatures without requiring direct physical measurement devices in the radioactive melt, thereby extending service life while maintaining measurement capability

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates a virtual copy of the temperature measurement function through a machine learning model. Instead of using physical measurement devices that degrade in harsh environments, the system uses a trained model that replicates temperature measurement capabilities based on operating parameters, eliminating wear and corrosion issues

Inventive Principle:

Principle #26Copying

2Measurement precision

If manual temperature measurement operations are performed, then temperature data can be acquired, but operator safety is compromised due to radioactive exposure

Engineering Contradiction:

Improvetemperature measurementVSAvoidradioactive exposure to operator

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system performs self-service by automatically predicting temperatures using a trained machine learning model and operating parameters. This eliminates the need for manual temperature measurement operations, preventing operator exposure to radioactive environments while maintaining continuous temperature monitoring capability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical/manual temperature measurement system with an automated machine learning-based prediction system. The model substitutes physical measurement operations with computational predictions based on operating parameters, eliminating harmful manual interventions in radioactive environments

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If direct temperature measurement devices are used in radioactive melt, then real-time temperature data can be obtained, but the cost increases due to device replacement and safety measures

Engineering Contradiction:

Improvetemperature monitoringVSAvoidcost-effectiveness

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent creates a virtual measurement system using machine learning models that replicate temperature measurement functionality. This digital copy eliminates the need for expensive physical measurement devices and their associated replacement costs, while maintaining continuous temperature monitoring capability

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces expensive, short-lived physical measurement devices with a reusable machine learning model. The model can be trained once and deployed indefinitely without degradation from harsh environmental exposure, eliminating recurring costs of device replacement and associated safety infrastructure

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS11982636B2Method for acquiring temperature

Publication Date: 2024.05.14 CHINA INSTITUTE OF ATOMIC ENERGY

AI summary

Provided are a method and a device for acquiring a temperature and a computer-readable storage medium. The method for acquiring a temperature includes: building a temperature acquisition model, wherein the temperature acquisition model is configured to acquire, based on an operating parameter of the radioactive substance treatment system input to the temperature acquisition model, a temperature of different parts of the radioactive reactant in the radioactive substance treatment system under a condition of the parameter; inputting a current operating parameter of the radioactive substance treatment system into the temperature acquisition model during the treatment for the radioactive substance; and acquiring a current temperature of different parts of the radioactive reactant in the radioactive substance treatment system output by the temperature acquisition model.