CN108061360A - Be conducive to family's control method with fresh air - Google Patents
Be conducive to family's control method with fresh air Download PDFInfo
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- CN108061360A CN108061360A CN201711278382.4A CN201711278382A CN108061360A CN 108061360 A CN108061360 A CN 108061360A CN 201711278382 A CN201711278382 A CN 201711278382A CN 108061360 A CN108061360 A CN 108061360A
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- Prior art keywords
- fresh air
- air
- conducive
- family
- level data
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- 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
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- Air Conditioning Control Device (AREA)
Abstract
The control method with fresh air the invention discloses family is conducive to, comprises the following steps：S1：Establish level data storehouse with fresh air；S2：Machine learning is carried out to level data storehouse with fresh air, and generates riffle；S3：Detect every air parameter in room；S4：Riffle judges indoor environment according to every air parameter；When being judged as impure and fresh, air freshener is opened.The present invention is conducive to family's control method with fresh air, machine learning is carried out by level data storehouse with fresh air, it only needs to be exactly that can generate more high-dimensional riffle to adding relevant parameter in level data storehouse with fresh air, so as to be assessed by multiple dimensions air quality, assessment result is improved.
Description
Technical field
The present invention relates to smart home fields, and in particular to is conducive to family's control method with fresh air.
Background technology
The quality of air quality reflects air pollution degree, it is the height of foundation pollutants in air concentration to judge
's.The phenomenon that air pollution is a complexity is influenced in specific time and place air pollutant concentration be subject to many factors.Come
The man-made pollutant of self-retaining and mobile pollution source discharge size is one of main factor for influencing air quality, including
Vehicle, ship, the tail gas of aircraft, industrial pollution, resident living and heating, waste incineration etc..The development intensity in city, landform
Looks and meteorological wait are also an important factor for influencing air quality.In addition, " negative oxygen ion " concentration is the mark of air quality quality
One of.According to the standard of the World Health Organization, when negative oxygen ion concentration is higher than 1000 per cubic centimeter -1500 in air
When, it can just deserve to be called " fresh air ".
And existing home air quality monitoring can not accurately supervise home air quality mostly using single standard
Control.
The content of the invention
The technical problems to be solved by the invention are existing home air quality monitorings mostly using single standard, Wu Fazhun
True is monitored home air quality, and it is an object of the present invention to provide being conducive to family's control method with fresh air, and solution is above-mentioned
Problem.
The present invention is achieved through the following technical solutions：
Be conducive to family's control method with fresh air, comprise the following steps：S1：Establish level data storehouse with fresh air；
S2：Machine learning is carried out to level data storehouse with fresh air, and generates riffle；S3：Detect every air parameter in room；
S4：Riffle judges indoor environment according to every air parameter；When being judged as impure and fresh, air freshener is opened.
In the prior art, home air quality monitoring is mostly using single standard, can not accurately to home air quality into
Row monitoring.The present invention is in application, first establish level data storehouse with fresh air；Engineering is carried out to level data storehouse with fresh air again
It practises, and generates riffle；Then every air parameter in room is detected；Subsequently riffle according to every air parameter to room
Interior environment is judged；When being judged as impure and fresh, air freshener is opened.Due to being carried out by level data storehouse with fresh air
Machine learning, it is only necessary to be exactly that can generate more high-dimensional two points to adding relevant parameter in level data storehouse with fresh air
Device so as to be assessed by multiple dimensions air quality, improves assessment result.
Further, the air parameter includes PM2.5 concentration, oxygen content, humidity and temperature.
Further, the machine learning uses SVM.
Further, the machine learning uses linear kernel function.
Further, the level data storehouse with fresh air uses cloud database.
Compared with prior art, the present invention it has the following advantages and advantages：
The present invention is conducive to family's control method with fresh air, and engineering is carried out by level data storehouse with fresh air
It practises, it is only necessary to it is exactly that can generate more high-dimensional riffle to adding relevant parameter in level data storehouse with fresh air, so as to
Air quality is assessed by multiple dimensions, improves assessment result.
Specific embodiment
Understand to make the object, technical solutions and advantages of the present invention clearer, with reference to embodiment, the present invention is made
Further to be described in detail, exemplary embodiment of the invention and its explanation are only used for explaining the present invention, are not intended as to this
The restriction of invention.
Embodiment
The present invention is conducive to family's control method with fresh air, is conducive to family's control method with fresh air, including
Following steps：S1：Establish level data storehouse with fresh air；S2：Machine learning is carried out to level data storehouse with fresh air, and is generated
Riffle；S3：Detect every air parameter in room；S4：Riffle sentences indoor environment according to every air parameter
It is disconnected；When being judged as impure and fresh, air freshener is opened.The air parameter includes PM2.5 concentration, oxygen content, humidity and temperature
Degree.The machine learning uses SVM.The machine learning uses linear kernel function.The level data storehouse with fresh air uses
Cloud database.
When the present embodiment is implemented, level data storehouse with fresh air is first established；Machine is carried out to level data storehouse with fresh air again
Device learns, and generates riffle；Then every air parameter in room is detected；Subsequently riffle is according to every air parameter
Indoor environment is judged；When being judged as impure and fresh, air freshener is opened.Due to passing through level data storehouse with fresh air
Carry out machine learning, it is only necessary to be exactly that can generate more high-dimensional two to adding relevant parameter in level data storehouse with fresh air
Divide device, so as to be assessed by multiple dimensions air quality, improve assessment result.
Above-described specific embodiment has carried out the purpose of the present invention, technical solution and advantageous effect further
It is described in detail, it should be understood that the foregoing is merely the specific embodiments of the present invention, is not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (5)
1. be conducive to family's control method with fresh air, which is characterized in that comprise the following steps：
S1：Establish level data storehouse with fresh air；
S2：Machine learning is carried out to level data storehouse with fresh air, and generates riffle；
S3：Detect every air parameter in room；
S4：Riffle judges indoor environment according to every air parameter；When being judged as impure and fresh, open with fresh air
Device.
2. according to claim 1 be conducive to family's control method with fresh air, which is characterized in that the air parameter
Including PM2.5 concentration, oxygen content, humidity and temperature.
3. according to claim 1 be conducive to family's control method with fresh air, which is characterized in that the machine learning
Using SVM.
4. according to claim 1 be conducive to family's control method with fresh air, which is characterized in that the machine learning
Using linear kernel function.
5. according to claim 1 be conducive to family's control method with fresh air, which is characterized in that described with fresh air
Level data storehouse uses cloud database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711278382.4A CN108061360A (en) | 2017-12-06 | 2017-12-06 | Be conducive to family's control method with fresh air |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711278382.4A CN108061360A (en) | 2017-12-06 | 2017-12-06 | Be conducive to family's control method with fresh air |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108061360A true CN108061360A (en) | 2018-05-22 |
Family
ID=62136235
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711278382.4A Pending CN108061360A (en) | 2017-12-06 | 2017-12-06 | Be conducive to family's control method with fresh air |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108061360A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103868955A (en) * | 2014-04-09 | 2014-06-18 | 西南大学 | Portable in-automobile gas detection system and method |
| CN104517126A (en) * | 2014-12-26 | 2015-04-15 | 北京邮电大学 | Air quality assessment method based on image analysis |
| CN104820072A (en) * | 2015-04-30 | 2015-08-05 | 重庆大学 | Electronic nose air quality monitoring system and method based on cloud computing |
| CN105548478A (en) * | 2015-12-23 | 2016-05-04 | 四川长虹网络科技有限责任公司 | An indoor air quality monitoring system and a method thereof |
| CN105698861A (en) * | 2016-03-04 | 2016-06-22 | 广东轻工职业技术学院 | Indoor environment comfort level evaluation method |
| KR20160073564A (en) * | 2014-12-17 | 2016-06-27 | 주식회사 내츄럴앤미 | Eco-friendly Aroma Device with LED Lamp |
| CN106485353A (en) * | 2016-09-30 | 2017-03-08 | 中国科学院遥感与数字地球研究所 | Air pollutant concentration forecasting procedure and system |
| CN106895498A (en) * | 2017-03-12 | 2017-06-27 | 深圳市上羽科技有限公司 | The permanent treatment air-conditioning in the special center four of smart home |
-
2017
- 2017-12-06 CN CN201711278382.4A patent/CN108061360A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103868955A (en) * | 2014-04-09 | 2014-06-18 | 西南大学 | Portable in-automobile gas detection system and method |
| KR20160073564A (en) * | 2014-12-17 | 2016-06-27 | 주식회사 내츄럴앤미 | Eco-friendly Aroma Device with LED Lamp |
| CN104517126A (en) * | 2014-12-26 | 2015-04-15 | 北京邮电大学 | Air quality assessment method based on image analysis |
| CN104820072A (en) * | 2015-04-30 | 2015-08-05 | 重庆大学 | Electronic nose air quality monitoring system and method based on cloud computing |
| CN105548478A (en) * | 2015-12-23 | 2016-05-04 | 四川长虹网络科技有限责任公司 | An indoor air quality monitoring system and a method thereof |
| CN105698861A (en) * | 2016-03-04 | 2016-06-22 | 广东轻工职业技术学院 | Indoor environment comfort level evaluation method |
| CN106485353A (en) * | 2016-09-30 | 2017-03-08 | 中国科学院遥感与数字地球研究所 | Air pollutant concentration forecasting procedure and system |
| CN106895498A (en) * | 2017-03-12 | 2017-06-27 | 深圳市上羽科技有限公司 | The permanent treatment air-conditioning in the special center four of smart home |
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| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180522 |