FR3143743B1 - Procédé et système de prédiction de la température d’un four, dispositif et support - Google Patents

Procédé et système de prédiction de la température d’un four, dispositif et support

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Publication number
FR3143743B1
FR3143743B1 FR2314488A FR2314488A FR3143743B1 FR 3143743 B1 FR3143743 B1 FR 3143743B1 FR 2314488 A FR2314488 A FR 2314488A FR 2314488 A FR2314488 A FR 2314488A FR 3143743 B1 FR3143743 B1 FR 3143743B1
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FR
France
Prior art keywords
temperature
furnace
model
acquired
predicting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
FR2314488A
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English (en)
Other versions
FR3143743A1 (fr
Inventor
Zongshuai Li
Zhihe He
Yongke Zhu
Zequan Xu
Yingnan Wang
Changdong Li
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Brunp Recycling Technology Co Ltd
Guangdong Brunp Recycling Technology Co Ltd
Original Assignee
Hunan Brunp Recycling Technology Co Ltd
Guangdong Brunp Recycling Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hunan Brunp Recycling Technology Co Ltd, Guangdong Brunp Recycling Technology Co Ltd filed Critical Hunan Brunp Recycling Technology Co Ltd
Publication of FR3143743A1 publication Critical patent/FR3143743A1/fr
Application granted granted Critical
Publication of FR3143743B1 publication Critical patent/FR3143743B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
    • G01K7/42—Circuits effecting compensation of thermal inertia; Circuits for predicting the stationary value of a temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D21/00—Arrangement of monitoring devices; Arrangement of safety devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D21/00—Arrangement of monitoring devices; Arrangement of safety devices
    • F27D21/0014—Devices for monitoring temperature
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • A—HUMAN NECESSITIES
    • A21—BAKING; EDIBLE DOUGHS
    • A21B—BAKERS' OVENS; MACHINES OR EQUIPMENT FOR BAKING
    • A21B1/00—Bakers' ovens
    • A21B1/40—Bakers' ovens characterised by the means for regulating the temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
    • F24C7/00—Stoves or ranges heated by electric energy
    • F24C7/08—Arrangement or mounting of control or safety devices
    • F24C7/082—Arrangement or mounting of control or safety devices on ranges, e.g. control panels, illumination
    • F24C7/085—Arrangement or mounting of control or safety devices on ranges, e.g. control panels, illumination on baking ovens
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/08—Probabilistic or stochastic CAD
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Mechanical Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
  • Feedback Control In General (AREA)
  • Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)

Abstract

La demande fournit un procédé de prédiction de la température d’un four, qui comprend: un ensemble de données historiques est obtenu en utilisant des données surveillées du four, un premier ensemble d’entraînement et un premier ensemble de test sont acquis selon l’ensemble de données historiques, un modèle est entraîné et testé initialement, le modèle est entraîné et testé à nouveau en utilisant un deuxième ensemble d’entraînement pré-acquis et un deuxième ensemble de test pré-acquis, et un modèle de prédiction de température optimal est écarté selon une erreur de sortie du deuxième ensemble de test ; et une température de prédiction dans la région de température du four dans une période de temps de prédiction est obtenue selon des données du four pour une région de température du four dans une période de temps prédéfinie de stade précoce de prédiction et le modèle de prédiction de température optimal. Figure 1
FR2314488A 2022-12-19 2023-12-19 Procédé et système de prédiction de la température d’un four, dispositif et support Active FR3143743B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN2022116466148 2022-12-19
CN202211646614.8A CN115983114B (zh) 2022-12-19 2022-12-19 一种窑炉温度预测方法、系统、设备及介质

Publications (2)

Publication Number Publication Date
FR3143743A1 FR3143743A1 (fr) 2024-06-21
FR3143743B1 true FR3143743B1 (fr) 2026-05-01

Family

ID=85957491

Family Applications (1)

Application Number Title Priority Date Filing Date
FR2314488A Active FR3143743B1 (fr) 2022-12-19 2023-12-19 Procédé et système de prédiction de la température d’un four, dispositif et support

Country Status (3)

Country Link
CN (1) CN115983114B (fr)
FR (1) FR3143743B1 (fr)
WO (1) WO2024130864A1 (fr)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116564432B (zh) * 2023-04-21 2026-04-17 山东云海国创云计算装备产业创新中心有限公司 一种材料性能预测方法、系统、电子设备及存储介质
KR102763419B1 (ko) * 2023-07-25 2025-02-05 주식회사 인이지 가열로의 최적 온도를 연산하는 방법 및 이를 수행하기 위한 장치
CN117056644B (zh) * 2023-10-12 2023-12-26 苏州科尔珀恩机械科技有限公司 基于机器学习的工业窑炉温度预测方法及系统
CN117383795B (zh) * 2023-10-16 2025-09-02 湖南仁海科技材料发展有限公司 一种硅酸钠玻璃天然气窑炉燃烧控制系统
CN117954126B (zh) * 2024-03-26 2024-06-14 烟台卫康动物保健品有限公司 基于多传感数据融合的兽药在线监测系统及方法
CN118884161B (zh) * 2024-08-12 2025-03-14 深圳市飞兆微电子有限公司 一种半导体器件测试方法、装置以及存储介质
CN118857406B (zh) * 2024-09-29 2025-03-25 中国计量大学 一种气体流量原位计量检定方法、系统
CN119151396B (zh) * 2024-11-19 2025-05-06 无锡市铭腾模具科技有限公司 一种模具生产信息数据分析方法及系统
CN119357674B (zh) * 2024-12-23 2025-05-02 洛阳理工学院 一种基于无线传感网的深埋隧洞预警系统及方法
CN119416896B (zh) * 2025-01-06 2025-03-21 巢湖学院 基于推理人类学习优化算法的工业炉膛温度预测系统
CN119713895A (zh) * 2025-02-22 2025-03-28 苏州田边热能科技有限公司 窑炉温度一致性控制方法、装置、计算机设备以及介质
CN120027618B (zh) * 2025-04-23 2025-07-11 湖南瑞和冶金石灰有限公司 一种基于石灰套筒窑的窑炉控制系统
CN120126597B (zh) * 2025-05-12 2025-07-11 福建三宝钢铁有限公司 一种热轧中碳工具钢的制备方法
CN120593505B (zh) * 2025-07-31 2025-11-21 北京中宏联工程技术有限公司 带式焙烧机球团烧结精细化控制方法
CN121449423B (zh) * 2026-01-07 2026-03-20 辽宁国瑞新材料有限公司 一种高温耐腐蚀石墨球的制备工艺

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109117595B (zh) * 2018-09-25 2021-06-25 新智数字科技有限公司 一种热负荷预测方法、装置、可读介质及电子设备
US11573540B2 (en) * 2019-12-23 2023-02-07 Johnson Controls Tyco IP Holdings LLP Methods and systems for training HVAC control using surrogate model
CN111950191B (zh) * 2020-07-07 2021-05-11 湖南大学 基于混合深度神经网络的回转窑烧结温度预测方法
CN112115024B (zh) * 2020-09-03 2023-07-18 上海上讯信息技术股份有限公司 一种用于故障预测神经网络模型的训练方法与设备
CN112800672B (zh) * 2021-01-27 2024-04-16 上海电气集团股份有限公司 锅炉粘污系数的评估方法、系统、介质及电子设备
CN113759708B (zh) * 2021-02-09 2024-07-16 京东城市(北京)数字科技有限公司 系统的优化控制方法、装置和电子设备
CN113901719B (zh) * 2021-10-11 2026-02-17 中国工业互联网研究院(工业和信息化部密码应用研究中心) 一种锅炉蒸汽温度预测方法及装置
CN115115107A (zh) * 2022-06-23 2022-09-27 国家电投集团湖北绿动新能源有限公司 光伏功率的预测方法、预测装置和计算机设备
CN115291513A (zh) * 2022-07-15 2022-11-04 国网河北能源技术服务有限公司 锅炉再热蒸汽温度预测方法、装置、终端设备及存储介质

Also Published As

Publication number Publication date
CN115983114B (zh) 2026-03-10
CN115983114A (zh) 2023-04-18
FR3143743A1 (fr) 2024-06-21
WO2024130864A1 (fr) 2024-06-27

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