CN113654204A - Indoor air humidity adjusting system based on artificial intelligence - Google Patents
Indoor air humidity adjusting system based on artificial intelligence Download PDFInfo
- Publication number
- CN113654204A CN113654204A CN202110622566.8A CN202110622566A CN113654204A CN 113654204 A CN113654204 A CN 113654204A CN 202110622566 A CN202110622566 A CN 202110622566A CN 113654204 A CN113654204 A CN 113654204A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- humidity
- air
- temperature
- 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.)
- Pending
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/64—Airborne particle content
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
- F24F2110/70—Carbon dioxide
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an indoor air humidity adjusting system based on artificial intelligence, which comprises a temperature and humidity detecting system, an air quality detecting system, a data analyzing system, a data storage system, a central control system, an air purifying system, a temperature and humidity adjusting system and a user side, the temperature and humidity detection system is used for detecting the temperature and humidity of indoor air, the air quality detection system is used for detecting the quality of the indoor air, the data analysis system is used for comprehensively analyzing data from the temperature and humidity detection system and the air quality detection system, the data storage system is used for storing data analyzed by the data analysis system, the central control system is used for receiving the data and the signals and sending out instructions according to the data and the signals, the air purification system is used for purifying air and improving the air quality, and the temperature and humidity adjusting system is used for adjusting the temperature and humidity of indoor air; the invention can detect indoor air quality and improve indoor air quality.
Description
Technical Field
The invention relates to the field of air humidity adjusting systems, in particular to an indoor air humidity adjusting system based on artificial intelligence.
Background
With the progress of society, the living standard of human beings is continuously improved, the requirements on healthy living environment are higher and higher, the air temperature and humidity have influence on the human health, the human health is damaged when the air temperature and humidity are too high or too low, and an indoor air humidity adjusting system is required to be installed indoors in order to maintain the indoor temperature and humidity in a range suitable for the human body, and the system is usually combined with artificial intelligence.
Firstly, the existing indoor air humidity adjusting system based on artificial intelligence can only detect the temperature and humidity of air and cannot detect the air quality when in use; secondly, current indoor air humidity control system based on artificial intelligence can only adjust the humiture of air when using, can not purify the air.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: when the existing indoor air humidity adjusting system based on artificial intelligence is used, only the temperature and humidity of air can be detected, and the air quality cannot be detected; secondly, current indoor air humidity control system based on artificial intelligence can only adjust the humiture of air when using, can not purify the air.
The invention solves the technical problems through the following technical scheme, and provides an indoor air humidity adjusting system based on artificial intelligence, which comprises a temperature and humidity detecting system, an air quality detecting system, a data analyzing system, a data storage system, a central control system, an air purifying system, a temperature and humidity adjusting system and a user side;
the temperature and humidity detection system is used for detecting the temperature and humidity of indoor air;
the air quality detection system is used for detecting indoor air quality such as PM2.5 content and carbon dioxide content;
the data analysis system is used for comprehensively analyzing data from the temperature and humidity detection system and the air quality detection system;
the data storage system is used for storing the data analyzed by the data analysis system;
the central control system is used for receiving data and signals and sending out instructions according to the data and the signals;
the air purification system is used for purifying air and improving the air quality;
the temperature and humidity adjusting system is used for adjusting the temperature and humidity of indoor air;
the user side comprises a mobile client and a control panel, the mobile client and the control panel are used for sending control instructions to the central control system, the mobile client is installed in mobile digital products such as mobile phones and tablet computers, and the control panel is installed indoors.
Preferably, the greenhouse temperature detection system comprises a temperature detector, a humidity detector, a data generation module and a data transmission module, and the air quality detection system comprises an air quality detector, a data generation module and a data transmission module.
Preferably, the data analysis module comprises a data acquisition module, a data matching module, an intelligent analysis module and a data output module.
Preferably, the specific processing steps of the data analysis module are as follows:
the method comprises the following steps: the data acquisition module acquires data from the temperature and humidity detection system and the air quality detection system;
step two: the data matching module matches the acquired data to obtain data which can be identified by the intelligent analysis module;
step three: the intelligent analysis module analyzes the matched data and judges whether the data is in a reasonable range;
step four: and the data output module transmits the analyzed data to the central control system and the data storage system respectively.
Preferably, the central control system comprises a data receiving module, an instruction generating module, a signal receiving module, a signal converting module and an instruction output module.
Preferably, the specific processing steps of the central control system are as follows:
the method comprises the following steps: when the system is automatically adjusted, the data receiving module receives data from the data analysis system;
step two: the instruction generating module generates an instruction according to the data received by the data receiving module;
step three: and the instruction output module transmits the instruction generated by the instruction generation module to the air purification system.
The central control system can also adopt the following processing steps:
s1: when the system is manually controlled, the signal receiving module receives a signal from a user side;
s2: the signal conversion module converts the signal received by the signal receiving module into a corresponding instruction;
s3: and the instruction output module transmits the instruction converted by the signal conversion module to the air purification system.
Preferably, the air purification system comprises an instruction receiving module, an instruction execution module and an air purifier, and the greenhouse degree adjustment system comprises an instruction receiving module, an instruction execution module, a humidifier and an air conditioner.
Compared with the prior art, the invention has the following advantages: the indoor air humidity adjusting system based on artificial intelligence is additionally provided;
the air quality detection system is additionally arranged, the air quality detector in the air quality detection system is used for detecting the content of harmful substances such as PM2.5, carbon dioxide and the like in indoor air, data are generated in the data generation module and transmitted to the central control system by the data transmission module, an instruction is generated to activate the air purification system and the temperature and humidity regulation system after the data from the temperature and humidity detection system are comprehensively analyzed in the central control system, and the data and the instruction are more reasonable and a user can more visually know the indoor air quality condition by combining the two data;
by additionally arranging the air purification system, the instruction receiving module in the air purification system is used for receiving an instruction from the central control system, then the instruction execution module executes the instruction to start the air purification instrument and transmits the instruction from the central control system to the temperature and humidity regulation system, the air purification instrument absorbs indoor air and simultaneously replenishes new air from the outdoor, after circulating and purifying in the air purification system, foul air is discharged to the outdoor, and clean air is conveyed to the greenhouse temperature regulation system, so that the quality of the indoor air is improved.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a system diagram of a data analysis module of the present invention;
fig. 3 is a system diagram of a central control system in the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1-3, an indoor air humidity adjusting system based on artificial intelligence includes a temperature and humidity detecting system, an air quality detecting system, a data analyzing system, a data storage system, a central control system, an air purifying system, a temperature and humidity adjusting system, and a user end;
the temperature and humidity detection system is used for detecting the temperature and humidity of indoor air;
the air quality detection system is used for detecting indoor air quality such as PM2.5 content and carbon dioxide content;
the data analysis system is used for comprehensively analyzing data from the temperature and humidity detection system and the air quality detection system;
the data storage system is used for storing the data analyzed by the data analysis system;
the central control system is used for receiving the data and the signals and sending out instructions according to the data and the signals;
the air purification system is used for purifying air and improving the air quality;
the temperature and humidity adjusting system is used for adjusting the temperature and humidity of indoor air;
the user side comprises a mobile client and a control panel, the mobile client and the control panel are used for sending control instructions to the central control system, the mobile client is installed in mobile digital products such as mobile phones and tablet computers, and the control panel is installed indoors.
The greenhouse temperature detection system comprises a temperature detector, a humidity detector, a data generation module and a data transmission module, and the air quality detection system comprises an air quality detector, a data generation module and a data transmission module.
The data analysis module comprises a data acquisition module, a data matching module, an intelligent analysis module and a data output module.
The specific processing steps of the data analysis module are as follows:
the method comprises the following steps: the data acquisition module acquires data from the temperature and humidity detection system and the air quality detection system;
step two: the data matching module matches the acquired data to obtain data which can be identified by the intelligent analysis module;
step three: the intelligent analysis module analyzes the matched data and judges whether the data is in a reasonable range;
step four: and the data output module transmits the analyzed data to the central control system and the data storage system respectively.
The central control system comprises a data receiving module, an instruction generating module, a signal receiving module, a signal converting module and an instruction output module.
The specific processing steps of the central control system are as follows:
the method comprises the following steps: when the system is automatically adjusted, the data receiving module receives data from the data analysis system;
step two: the instruction generating module generates an instruction according to the data received by the data receiving module;
step three: and the instruction output module transmits the instruction generated by the instruction generation module to the air purification system.
The central control system can also adopt the following processing steps:
s1: on the other hand, when the system is controlled manually, the signal receiving module receives signals from the user side;
s2: the signal conversion module converts the signal received by the signal receiving module into a corresponding instruction;
s3: and the instruction output module transmits the instruction converted by the signal conversion module to the air purification system.
The air purification system comprises an instruction receiving module, an instruction execution module and an air purifier, and the greenhouse degree adjusting system comprises an instruction receiving module, an instruction execution module, a humidifier and an air conditioner.
In summary, when the invention is used, firstly the temperature and humidity detection system detects the temperature and humidity of the indoor air and transmits the detected data to the data analysis system, meanwhile the air quality detection system detects the quality of the indoor air and transmits the detected data to the data analysis system, the data analysis system receives the data from the temperature and humidity detection system and the air quality detection system and carries out comprehensive analysis, and transmits the data obtained after analysis to the data storage system and the central control system, the data storage system stores and transmits the data from the data analysis system to the user end, meanwhile, when the system is automatically adjusted, the central control system sends an instruction to the air purification system according to the received data, when the system is manually controlled, the central control system sends a corresponding instruction to the air purification system according to the instruction sent by the user end, the air purification system absorbs the indoor air, and meanwhile, new air is supplemented from the outside, after being circularly purified in the air purification system, foul air is discharged to the outside, clean air is conveyed to the greenhouse temperature regulation system, meanwhile, the clean air is transmitted to the temperature and humidity regulation system from the central control system, and the temperature and humidity regulation system absorbs the clean air and regulates the temperature and humidity of the indoor air according to a received instruction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. An indoor air humidity adjusting system based on artificial intelligence is characterized by comprising a temperature and humidity detection system, an air quality detection system, a data analysis system, a data storage system, a central control system, an air purification system, a temperature and humidity adjusting system and a user side;
the temperature and humidity detection system is used for detecting the temperature and humidity of indoor air;
the air quality detection system is used for detecting indoor air quality such as PM2.5 content and carbon dioxide content;
the data analysis system is used for comprehensively analyzing data from the temperature and humidity detection system and the air quality detection system;
the data storage system is used for storing the data analyzed by the data analysis system;
the central control system is used for receiving data and signals and sending out instructions according to the data and the signals;
the air purification system is used for purifying air and improving the air quality;
the temperature and humidity adjusting system is used for adjusting the temperature and humidity of indoor air;
the user side comprises a mobile client and a control panel, the mobile client and the control panel are used for sending control instructions to the central control system, the mobile client is installed in mobile digital products such as mobile phones and tablet computers, and the control panel is installed indoors.
2. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 1, wherein: the greenhouse temperature detection system comprises a temperature detector, a humidity detector, a data generation module and a data transmission module, and the air quality detection system comprises an air quality detector, a data generation module and a data transmission module.
3. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 1, wherein: the data analysis module comprises a data acquisition module, a data matching module, an intelligent analysis module and a data output module.
4. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 3, wherein: the data analysis module comprises the following specific processing steps:
the method comprises the following steps: the data acquisition module acquires data from the temperature and humidity detection system and the air quality detection system;
step two: the data matching module matches the acquired data to obtain data which can be identified by the intelligent analysis module;
step three: the intelligent analysis module analyzes the matched data and judges whether the data is in a reasonable range;
step four: and the data output module transmits the analyzed data to the central control system and the data storage system respectively.
5. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 1, wherein: the central control system comprises a data receiving module, an instruction generating module, a signal receiving module, a signal converting module and an instruction output module.
6. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 5, wherein: the specific processing steps of the central control system are as follows:
the method comprises the following steps: when the system is automatically adjusted, the data receiving module receives data from the data analysis system;
step two: the instruction generating module generates an instruction according to the data received by the data receiving module;
step three: and the instruction output module transmits the instruction generated by the instruction generation module to the air purification system.
7. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 1, wherein: the air purification system comprises an instruction receiving module, an instruction execution module and an air purifier, and the greenhouse degree adjusting system comprises an instruction receiving module, an instruction execution module, a humidifier and an air conditioner.
8. An artificial intelligence based indoor air humidity conditioning system as claimed in claim 5, wherein: the central control system can also adopt the following processing steps:
s1: when the system is manually controlled, the signal receiving module receives a signal from a user side;
s2: the signal conversion module converts the signal received by the signal receiving module into a corresponding instruction;
s3: and the instruction output module transmits the instruction converted by the signal conversion module to the air purification system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110622566.8A CN113654204A (en) | 2021-06-03 | 2021-06-03 | Indoor air humidity adjusting system based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110622566.8A CN113654204A (en) | 2021-06-03 | 2021-06-03 | Indoor air humidity adjusting system based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113654204A true CN113654204A (en) | 2021-11-16 |
Family
ID=78489118
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110622566.8A Pending CN113654204A (en) | 2021-06-03 | 2021-06-03 | Indoor air humidity adjusting system based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113654204A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117598602A (en) * | 2024-01-19 | 2024-02-27 | 西安南洋迪克整装智能家居有限公司 | Air humidity adjusting device of intelligent sofa |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101256019A (en) * | 2007-12-22 | 2008-09-03 | 奇瑞汽车股份有限公司 | Vehicle air conditioner control system and control method |
| CN101915448A (en) * | 2010-07-30 | 2010-12-15 | 中山大学 | Intelligent household atmosphere regulation method and system |
| CN106152416A (en) * | 2016-08-11 | 2016-11-23 | 四川乐柚科技有限公司 | A kind of indoor air quality monitoring regulator control system based on Internet of Things |
| CN107355854A (en) * | 2017-07-18 | 2017-11-17 | 合肥康居人智能科技有限公司 | Indoor oxygen making set system based on air quality Intelligent adjustment |
| EP3262350A1 (en) * | 2015-02-24 | 2018-01-03 | Siemens Industry, Inc. | Variable air volume modeling for an hvac system |
-
2021
- 2021-06-03 CN CN202110622566.8A patent/CN113654204A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101256019A (en) * | 2007-12-22 | 2008-09-03 | 奇瑞汽车股份有限公司 | Vehicle air conditioner control system and control method |
| CN101915448A (en) * | 2010-07-30 | 2010-12-15 | 中山大学 | Intelligent household atmosphere regulation method and system |
| EP3262350A1 (en) * | 2015-02-24 | 2018-01-03 | Siemens Industry, Inc. | Variable air volume modeling for an hvac system |
| CN106152416A (en) * | 2016-08-11 | 2016-11-23 | 四川乐柚科技有限公司 | A kind of indoor air quality monitoring regulator control system based on Internet of Things |
| CN107355854A (en) * | 2017-07-18 | 2017-11-17 | 合肥康居人智能科技有限公司 | Indoor oxygen making set system based on air quality Intelligent adjustment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117598602A (en) * | 2024-01-19 | 2024-02-27 | 西安南洋迪克整装智能家居有限公司 | Air humidity adjusting device of intelligent sofa |
| CN117598602B (en) * | 2024-01-19 | 2024-03-29 | 西安南洋迪克整装智能家居有限公司 | Air humidity adjusting device of intelligent sofa |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102246273B1 (en) | Robot air quality detection system and detection method | |
| CN104739390A (en) | Intelligent human body heath and indoor environment monitoring system | |
| CN113654204A (en) | Indoor air humidity adjusting system based on artificial intelligence | |
| CN108803737A (en) | A kind of intelligent building air monitoring system based on big data | |
| KR20190066814A (en) | System and method for controlling air conditioner using air quality information | |
| CN108168029A (en) | A kind of plateau indoor environmental condition control system | |
| CN103968505A (en) | Indoor environment intelligent adjustment system | |
| CN108801341A (en) | A kind of Indoor Environment Detection system | |
| CN105864974A (en) | Air quality monitoring and circulatory purifying system | |
| CN109000736A (en) | Room air detection system and data processing method based on wireless transmission | |
| CN106765948A (en) | A kind of air purification control system | |
| CN101488032B (en) | Harmful gas detecting instrument | |
| CN106872323A (en) | Room air dust content super-standard alarm device and method | |
| CN116674388A (en) | Vehicle monitoring and analyzing system based on vehicle-mounted sensor | |
| CN109407629A (en) | A kind of pathogen on-line monitoring system and method | |
| CN102645005A (en) | Indoor air quality automatic control system | |
| CN206234675U (en) | A kind of intelligent desk lamp | |
| CN212060163U (en) | Indoor carbon dioxide monitor | |
| CN110096014A (en) | A kind of intelligence control system and control method based on power communication | |
| CN205505308U (en) | Air quality monitoring and circulation clarification plant | |
| CN107664338A (en) | Smart home air quality monitoring system based on fuzzy neural network | |
| CN113359527A (en) | Harmful gas purification control system for closed space | |
| CN111951967A (en) | Intelligent home health management system and device | |
| CN206531757U (en) | Room air dust monitoring device with warning function | |
| CN215867615U (en) | Pig farm environment intelligent identification wireless alarm system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20211116 |
|
| WD01 | Invention patent application deemed withdrawn after publication |