MA65136B1 - 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 AIInfo
- Publication number
- MA65136B1 MA65136B1 MA65136A MA65136A MA65136B1 MA 65136 B1 MA65136 B1 MA 65136B1 MA 65136 A MA65136 A MA 65136A MA 65136 A MA65136 A MA 65136A MA 65136 B1 MA65136 B1 MA 65136B1
- Authority
- MA
- Morocco
- Prior art keywords
- pollution control
- titanium
- gases
- optimised
- gas purification
- Prior art date
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
The invention relates to a gas purification device comprising an Artificial Intelligence (AI) module to improve purification efficiency. The AI analyses data from monitoring sensors in real time, accurately identifies the pollutants present in the treated gases and adjusts the device's parameters accordingly. In addition, the AI uses machine learning algorithms to predict the device's performance based on environmental conditions and the characteristics of the polluting gases, thereby optimising its pollution control performance. The integration of AI offers several advantages, such as improved pollution control efficiency, reduced operating costs and decision-making based on objective data. The device is also adaptive and scalable thanks to AI, allowing it to adjust to changes in the environment or in the composition of pollutant gases. In summary, this gas pollution control device with integrated AI module is an advanced solution for reducing air pollution levels and preserving environmental quality. The present invention relates to a gas purification device that uses titanium foam doped with titanium oxides with the integration of zeolite and is optimised by Artificial Intelligence (AI). The titanium foam doped with titanium oxides has a high reactive surface area, promoting the adsorption of gaseous pollutants. The zeolite, integrated into the device, offers a porous structure that allows for the selective adsorption of unwanted molecules. AI plays a key role in optimising the device's pollution control efficiency. By analysing data from environmental sensors, such as temperature, pressure and pollutant concentration, in real time, AI is able to accurately detect and identify the types of pollutants present in the treated gases. Using advanced classification and prediction techniques, AI adjusts the device's parameters to maximise its overall efficiency. In addition, AI uses machine learning algorithms to predict the device's performance based on environmental conditions and variations in pollutant concentration. These predictions enable the device's performance to be optimised by adjusting the gas flow rate, electrical energy levels and other parameters to ensure maximum pollution control and reduced operating costs. Thanks to the integration of AI, the pollution control device becomes adaptive and scalable. AI is able to adapt to new conditions and situations, continuously improving its classification and prediction capabilities. This adaptability ensures that the device maintains its pollution control efficiency in the face of changes in the environment or in the composition of pollutant gases.
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 MA65136A1 (en) | 2025-10-31 |
| MA65136B1 true 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)
| 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 |
-
2024
- 2024-04-01 MA MA65136A patent/MA65136B1/en unknown
Patent Citations (3)
| 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 |
|---|---|
| MA65136A1 (en) | 2025-10-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107944173B (en) | A Dioxin Soft Sensing System Based on Selectively Integrated Least Squares Support Vector Machine | |
| Kumar et al. | Defect engineering approaches for metal oxide semiconductor-based chemiresistive gas sensing | |
| Tao et al. | Intelligent technologies powering clean incineration of municipal solid waste: A system review | |
| MA65136B1 (en) | Gas purification device using titanium foam doped with titanium oxides, incorporating zeolite and optimised by AI | |
| WO2015068634A1 (en) | Non-catalytic denitration device and non-catalytic denitration method | |
| CN112201811A (en) | Vehicle-mounted hydrogen storage system device and control method thereof | |
| Feng et al. | Mechanism of functionalized biochar/K2CO3 cross-linking capture of multi-concentration CO2 | |
| CN119285431A (en) | A smart purification method and device for air-deficient gas | |
| Xia et al. | Soft measuring method of dioxin emission concentration for MSWI process based on RF and GBDT | |
| CN114169235B (en) | Machine learning algorithm-based flue gas desulfurization and oxidation system fault prediction method | |
| CN112733441A (en) | Circulating fluidized bed boiler NOx emission concentration control system based on QGA-ELM network | |
| JP2019129110A (en) | Device and method which can supply electric power/low oxygen gas | |
| CN111185073A (en) | Method for improving efficiency of low-temperature plasma treatment of VOCs and malodorous gas by regulating humidity | |
| Tong et al. | Numerical simulation and optimization for the desulfurization performance inside a burner with mixed ammonia/coal combustion: a case study | |
| CN120037759A (en) | Carbon trapping system based on artificial intelligence optimal control | |
| KR102027237B1 (en) | Wet scrubber system for ship | |
| KR102235867B1 (en) | Arrangement and method for flue gas stream bypass during selective catalytic reduction | |
| CN114543100B (en) | A waste incinerator secondary pollutant in-furnace coupling removal system and control method | |
| KR20210012799A (en) | Low Concentration Air Pollutants Detection Kit | |
| CN118142331A (en) | Flue gas recirculation coupling SNCR denitration control method and system for garbage incinerator | |
| CN104977043A (en) | Thermal power plant flue gas emission continuous monitoring device | |
| CN117743776A (en) | Flue gas sulfide removal method based on artificial intelligence algorithm | |
| Zhang et al. | Experimental investigation of sulfite oxidation enhancement in a micro-pore aeration system | |
| CN117160199A (en) | Flue gas whitening system and method thereof | |
| CN117311420A (en) | An energy-saving temperature and humidity control system for archives warehouses |