<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Intelligent Metallurgy | Youcheng Zong</title><link>https://mituan-ai.github.io/tags/intelligent-metallurgy/</link><atom:link href="https://mituan-ai.github.io/tags/intelligent-metallurgy/index.xml" rel="self" type="application/rss+xml"/><description>Intelligent Metallurgy</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jun 2023 00:00:00 +0000</lastBuildDate><image><url>https://mituan-ai.github.io/media/logo_hu_c35fdb5ffffc5275.png</url><title>Intelligent Metallurgy</title><link>https://mituan-ai.github.io/tags/intelligent-metallurgy/</link></image><item><title>Visual Perception and Energy-Saving Control for LF Refining</title><link>https://mituan-ai.github.io/projects/lf-refining-control/</link><pubDate>Thu, 01 Jun 2023 00:00:00 +0000</pubDate><guid>https://mituan-ai.github.io/projects/lf-refining-control/</guid><description>&lt;p&gt;This project linked visual perception with process control for ladle-furnace refining. It combines furnace imaging and slag-state analysis with a bottom-blowing control model connected to the plant PLC. Partner and site identifiers are omitted.&lt;/p&gt;
&lt;p&gt;
&lt;figure &gt;
&lt;div class="flex justify-center "&gt;
&lt;div class="w-full" &gt;&lt;img alt="Anonymous LF refining perception and control architecture"
src="https://mituan-ai.github.io/projects/lf-refining-control/system.svg"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;
&lt;h2 id="system-scope"&gt;System scope&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;process imaging at the LF furnace;&lt;/li&gt;
&lt;li&gt;visual analysis of slag state;&lt;/li&gt;
&lt;li&gt;bottom-blowing mode selection and control logic;&lt;/li&gt;
&lt;li&gt;PLC communication and integration with production software.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The public page reports the system boundary and completed integration only; confidential operating settings and plant-specific control rules are not disclosed.&lt;/p&gt;</description></item><item><title>Intelligent Transformation and State Recognition for Blast-Furnace Iron Tapping</title><link>https://mituan-ai.github.io/projects/blast-furnace-iron-tapping/</link><pubDate>Thu, 01 Dec 2022 00:00:00 +0000</pubDate><guid>https://mituan-ai.github.io/projects/blast-furnace-iron-tapping/</guid><description>&lt;p&gt;The system combines field instrumentation and communication with molten-iron level tracking, Bi-GRU state recognition, post-processing, and an operator interface. The industrial partner and furnace identifiers are omitted from the public version.&lt;/p&gt;
&lt;p&gt;
&lt;figure &gt;
&lt;div class="flex justify-center "&gt;
&lt;div class="w-full" &gt;&lt;img alt="Anonymous blast-furnace iron-tapping system architecture"
src="https://mituan-ai.github.io/projects/blast-furnace-iron-tapping/system.svg"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;
&lt;h2 id="technical-focus"&gt;Technical focus&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;continuous extraction of level-related process signals;&lt;/li&gt;
&lt;li&gt;temporal state recognition using a Bi-GRU composite model;&lt;/li&gt;
&lt;li&gt;post-processing rules for stable tapping-state decisions;&lt;/li&gt;
&lt;li&gt;integration of algorithm services with industrial data and visualization.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="public-outputs"&gt;Public outputs&lt;/h2&gt;
&lt;p&gt;The work led to two first-author journal articles and the first-inventor patent &lt;strong&gt;CN116678473B&lt;/strong&gt;, which covers a method for judging the tapping state of a blast-furnace hot-metal ladle.&lt;/p&gt;</description></item></channel></rss>