MA65136A1 - Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI - Google Patents

Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI

Info

Publication number
MA65136A1
MA65136A1 MA65136A MA65136A MA65136A1 MA 65136 A1 MA65136 A1 MA 65136A1 MA 65136 A MA65136 A MA 65136A MA 65136 A MA65136 A MA 65136A MA 65136 A1 MA65136 A1 MA 65136A1
Authority
MA
Morocco
Prior art keywords
gas purification
gases
purification
integrated
zeolite
Prior art date
Application number
MA65136A
Other languages
French (fr)
Other versions
MA65136B1 (en
Inventor
Mohamed Ennaji
Souad Tayane
Jaafar Gaber
Original Assignee
Université Hassan Ii De Casablanca
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 Université Hassan Ii De Casablanca filed Critical Université Hassan Ii De Casablanca
Priority to MA65136A priority Critical patent/MA65136B1/en
Publication of MA65136A1 publication Critical patent/MA65136A1/en
Publication of MA65136B1 publication Critical patent/MA65136B1/en

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/34—Chemical or biological purification of waste gases
    • B01D53/74—General processes for purification of waste gases; Apparatus or devices specially adapted therefor
    • B01D53/86—Catalytic processes
    • B01D53/88—Handling or mounting catalysts
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
    • B01J21/00—Catalysts comprising the elements, oxides, or hydroxides of magnesium, boron, aluminium, carbon, silicon, titanium, zirconium, or hafnium
    • B01J21/06—Silicon, titanium, zirconium or hafnium; Oxides or hydroxides thereof
    • B01J21/063—Titanium; Oxides or hydroxides thereof

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Environmental & Geological Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Organic Chemistry (AREA)
  • Materials Engineering (AREA)
  • Biomedical Technology (AREA)
  • Analytical Chemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Disinfection, Sterilisation Or Deodorisation Of Air (AREA)
  • Exhaust Gas Treatment By Means Of Catalyst (AREA)

Abstract

L'invention concerne un dispositif de dépollution des gaz composé d'un module d'Intelligence Artificielle (IA) pour améliorer l'efficacité de dépollution. L'IA analyse en temps réel les données des capteurs de surveillance, identifie précisément les polluants présents dans les gaz traités et ajuste les paramètres du dispositif en conséquence. De plus, l'IA utilise des algorithmes d'apprentissage automatique pour prédire les performances du dispositif en fonction des conditions environnementales et des caractéristiques des gaz polluants, permettant ainsi d'optimiser ses performances de dépollution. L'intégration de l'IA offre plusieurs avantages, tels qu'une meilleure efficacité de dépollution, une réduction des coûts d'exploitation et une prise de décision basée sur des données objectives. Le dispositif est également adaptatif et évolutif grâce à l'IA, lui permettant de s'ajuster aux changements dans l'environnement ou dans la composition des gaz polluants. En résumé, ce dispositif de dépollution des gaz avec intégration d'un module d'IA constitue une solution avancée pour réduire les niveaux de pollution dans l'air et préserver la qualité de l'environnement. La présente invention concerne un dispositif de dépollution des gaz qui utilise une mousse de titane dopée d'oxydes de titane avec l'intégration d'une zéolithe et est optimisé par l'Intelligence Artificielle (IA). La mousse de titane dopée d'oxydes de titane présente une surface réactive élevée, favorisant l'adsorption des polluants gazeux. La zéolithe, intégrée dans le dispositif, offre une structure poreuse permettant l'adsorption sélective des molécules indésirables. L'IA joue un rôle clé dans l'optimisation de l'efficacité de dépollution du dispositif. En analysant en temps réel les données des capteurs environnementaux, tels que la température, la pression et la concentration des polluants, l'IA est capable de détecter et d'identifier précisément les types de polluants présents dans les gaz traités. En utilisant des techniques avancées de classification et de prédiction, l'IA ajuste les paramètres du dispositif pour maximiser son efficacité globale. De plus, l'IA utilise des algorithmes d'apprentissage automatique pour prédire les performances du dispositif en fonction des conditions environnementales et des variations de concentration des polluants. Ces prédictions permettent d'optimiser les performances du dispositif, en ajustant la vitesse d'écoulement des gaz, les niveaux d'énergie électrique et autres paramètres, afin de garantir une dépollution maximale et une réduction des coûts d'exploitation. Grâce à l'intégration de l'IA, le dispositif de dépollution devient adaptatif et évolutif. L'IA est capable de s'adapter à de nouvelles conditions et situations, améliorant continuellement ses capacités de classification et de prédiction. Cette adaptabilité garantit que le dispositif maintient son efficacité de dépollution face aux changements dans l'environnement ou dans la composition des gaz polluants.The invention relates to a gas purification device comprising an Artificial Intelligence (AI) module to improve purification efficiency. The AI analyzes data from monitoring sensors in real time, precisely identifies the pollutants present in the treated gases, and adjusts the device parameters accordingly. Furthermore, the AI uses machine learning algorithms to predict the device's performance based on environmental conditions and the characteristics of the polluting gases, thus optimizing its purification performance. The integration of AI offers several advantages, such as improved pollution purification efficiency, reduced operating costs, and data-driven decision-making. The device is also adaptive and scalable thanks to the AI, allowing it to adjust to changes in the environment or in the composition of the polluting gases. In summary, this gas purification device with integrated AI module constitutes an advanced solution for reducing air pollution levels and preserving environmental quality. The present invention relates to a gas purification device that uses titanium oxide-doped foam with integrated zeolite and is optimized by Artificial Intelligence (AI). The titanium oxide-doped foam has a high reactive surface area, promoting the adsorption of gaseous pollutants. The zeolite, integrated into the device, provides a porous structure enabling the selective adsorption of undesirable molecules. AI plays a key role in optimizing the device's purification efficiency. By analyzing real-time data from environmental sensors, such as temperature, pressure, and pollutant concentration, the AI is able to accurately detect and identify the types of pollutants present in the treated gases. Using advanced classification and prediction techniques, the AI adjusts the device parameters to maximize its overall efficiency. Furthermore, AI uses machine learning algorithms to predict device performance based on environmental conditions and variations in pollutant concentration. These predictions optimize device performance by adjusting gas flow rates, electrical energy levels, and other parameters to ensure maximum pollution control and reduced operating costs. Through AI integration, the pollution control device becomes adaptive and scalable. AI can adapt to new conditions and situations, continuously improving its classification and prediction capabilities. This adaptability ensures the device maintains its pollution control effectiveness in the face of changes in the environment or the composition of polluting gases.

MA65136A 2024-04-01 2024-04-01 Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI MA65136B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
MA65136A MA65136B1 (en) 2024-04-01 2024-04-01 Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MA65136A MA65136B1 (en) 2024-04-01 2024-04-01 Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI

Publications (2)

Publication Number Publication Date
MA65136A1 true MA65136A1 (en) 2025-10-31
MA65136B1 MA65136B1 (en) 2025-12-31

Family

ID=97567402

Family Applications (1)

Application Number Title Priority Date Filing Date
MA65136A MA65136B1 (en) 2024-04-01 2024-04-01 Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI

Country Status (1)

Country Link
MA (1) MA65136B1 (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3197586A1 (en) * 2014-09-24 2017-08-02 Seb S.A. Filtration device for air purification appliance
WO2023095619A1 (en) * 2021-11-29 2023-06-01 株式会社キャタラー Exhaust gas purification catalyst device
EP4331721A1 (en) * 2022-08-31 2024-03-06 Calistair SAS Catalytic system with photocatalyst and gas depollution apparatus containing the same

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3197586A1 (en) * 2014-09-24 2017-08-02 Seb S.A. Filtration device for air purification appliance
WO2023095619A1 (en) * 2021-11-29 2023-06-01 株式会社キャタラー Exhaust gas purification catalyst device
EP4331721A1 (en) * 2022-08-31 2024-03-06 Calistair SAS Catalytic system with photocatalyst and gas depollution apparatus containing the same

Also Published As

Publication number Publication date
MA65136B1 (en) 2025-12-31

Similar Documents

Publication Publication Date Title
You et al. Analysis of cardinal grey relational grade and grey entropy on achievement of air pollution reduction by evaluating air quality trend in Japan
CN107944173B (en) A Dioxin Soft Sensing System Based on Selectively Integrated Least Squares Support Vector Machine
JP2012145111A (en) Stoichiometric exhaust gas recirculation and related combustion control
MA65136A1 (en) Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI
CN116757500A (en) Industrial Internet platform monitoring system and method
Xia et al. Soft measuring method of dioxin emission concentration for MSWI process based on RF and GBDT
RU2008144287A (en) METHOD FOR PRODUCING ACETHYLENE BY PARTIAL OXIDATION OF HYDROCARBONS
Li et al. Multi-objective optimization study of hydrothermal aging on NOx-assisted soot catalytic combustion and secondary pollution emission in regeneration of CeO2 catalytic diesel particulate filter
CN120029063A (en) A real-time intelligent optimization control system for full load of units under complex coal type mode
CN118142331A (en) Flue gas recirculation coupling SNCR denitration control method and system for garbage incinerator
Xu et al. Prediction method of dioxin emission concentration based on PCA and deep forest regression
CN118657334A (en) A regional energy optimization control method and SCADA system device
Li et al. Development and application of a multi-task oriented deep learning model for quantifying drivers of air pollutant variations: A case study in Taiyuan, China
CN114543100B (en) A waste incinerator secondary pollutant in-furnace coupling removal system and control method
CN117577207A (en) A modeling method for optimization of wet flue gas desulfurization system of coal-fired units
CN215175115U (en) Incinerator device
CN116976855A (en) A thermal power plant air preheater monitoring and dynamic management system
CN117738800A (en) Combustion control method and system of gas turbine
Koten et al. Analyzing the emission characteristics of a catalytic converter using a nano-ZnO coating
Azad et al. Reinforcement Learning for Sustainable Combustion in Thermal Power Plant
FR3071275B1 (en) PROCESS FOR REGENERATION OF A PARTICULATE FILTER OF A THERMAL ENGINE
CN113694684A (en) Contaminated gas treatment system, contaminated gas treatment method, electronic device, and storage medium
Sector Archive of SID. ir
RU2351975C2 (en) Method of decrease in harmful substances polluting atmosphere by means of closed control system
KR102675460B1 (en) Apparatus and Method for monitoring and artificial intelligence prediction of Engine cylinder temperature of ship