CN114811916A - Intelligent air control method and system - Google Patents
Intelligent air control method and system Download PDFInfo
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- CN114811916A CN114811916A CN202210390029.XA CN202210390029A CN114811916A CN 114811916 A CN114811916 A CN 114811916A CN 202210390029 A CN202210390029 A CN 202210390029A CN 114811916 A CN114811916 A CN 114811916A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 52
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 33
- 239000001301 oxygen Substances 0.000 claims description 33
- 229910052760 oxygen Inorganic materials 0.000 claims description 33
- 230000000813 microbial effect Effects 0.000 claims description 25
- 239000002028 Biomass Substances 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 15
- 238000005457 optimization Methods 0.000 claims description 8
- 244000005700 microbiome Species 0.000 claims description 6
- 238000012797 qualification Methods 0.000 claims description 6
- 238000004887 air purification Methods 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 206010052428 Wound Diseases 0.000 description 2
- 206010048038 Wound infection Diseases 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 239000005416 organic matter Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000003905 indoor air pollution Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 230000009967 tasteless effect Effects 0.000 description 1
- 239000012855 volatile organic compound Substances 0.000 description 1
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- 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
- F24F11/89—Arrangement or mounting of control or safety devices
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- 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
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- 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/28—Arrangement or mounting of filters
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- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
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- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides an air intelligent control method and system in the technical field of air purification, wherein the method comprises the following steps: step S10, the server presets an air quality standard and synchronizes the air quality standard to each air intelligent control device; s20, monitoring seven air indexes in real time through the sensor group and the associated air conditioner by each air intelligent control device; step S30, the air intelligent control equipment analyzes seven air indexes based on the air quality standard to generate an air quality analysis result; step S40, the air intelligent control equipment optimizes the air quality based on the air quality analysis result; and S50, the intelligent air control equipment uploads the fault codes, the position data, the seven air indexes and the air quality analysis result to a server for archiving. The invention has the advantages that: the comprehensiveness and traceability of air quality monitoring and adjustment are greatly improved.
Description
Technical Field
The invention relates to the technical field of air purification, in particular to an air intelligent control method and system.
Background
Air is a 'life gas' breathed by people every day, is layered on the earth surface, is transparent, colorless and tasteless, mainly comprises nitrogen and oxygen, and has important influence on the survival and production of human beings. Indoor air pollution is closely related to life quality and health of people, and especially in a medical scene, air quality is important, for example, a wound of a patient who is in operation is infected if the wound is exposed to air with substandard quality, and breathing is difficult if oxygen saturation amount is substandard, so that air indexes are necessary to be monitored, and further, air quality is optimized.
Although various air-related devices, such as air conditioners, air purifiers and the like, exist in the market, the devices can only monitor and adjust a few air indexes, and are far from meeting medical scenes, the devices cannot be uniformly managed, and the source cannot be traced when the air quality does not reach the standard.
Therefore, how to provide an air intelligent control method and system to improve comprehensiveness and traceability of air quality monitoring and adjustment becomes a technical problem to be solved urgently.
Disclosure of Invention
The invention aims to provide an air intelligent control method and system, which can improve the comprehensiveness and traceability of air quality monitoring and adjustment.
In a first aspect, the invention provides an air intelligent control method, which comprises the following steps:
step S10, the server presets an air quality standard and synchronizes the air quality standard to each air intelligent control device;
s20, monitoring seven air indexes in real time through the sensor group and the associated air conditioner by each air intelligent control device;
step S30, the air intelligent control equipment analyzes seven air indexes based on the air quality standard to generate an air quality analysis result;
step S40, the air intelligent control equipment optimizes the air quality based on the air quality analysis result;
and S50, the intelligent air control equipment uploads the fault codes, the position data, the seven air indexes and the air quality analysis result to a server for archiving.
Further, the step S10 is specifically:
the server presets an air quality standard including temperature, humidity, PM2.5, TVOC, microorganism volume, oxygen saturation volume and the qualification range of pressure differential, creates a pair of public key and private key, utilizes private key encryption air quality standard will encrypt after air quality standard and public key pass through wireless communication module and give each air intelligent control equipment in step.
Further, in the step S20, the seven air indexes include temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount, and pressure difference;
the temperature and the humidity are obtained through an associated air conditioner; the PM2.5 is acquired through a PM2.5 sensor; the TVOC is acquired through a TVOC sensor; the oxygen saturation amount is obtained through an oxygen saturation amount sensor; the differential pressure is obtained through a differential pressure sensor;
the microbial mass was calculated based on PM2.5 and TVOC.
Further, the step S40 is specifically:
and the air intelligent control equipment calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality based on the air quality analysis result until the seven air indexes meet the air quality standard after decryption by using the public key.
Further, the step S50 is specifically:
the intelligent air control equipment carries out fault self-checking to generate fault codes, generates position data through a positioner, binds the fault codes, the position data, seven air indexes, air quality analysis results and current time to obtain monitoring data, utilizes the public key to encrypt the monitoring data and then uploads the monitoring data to a server through a wireless communication module to be filed.
In a second aspect, the present invention provides an air intelligent control system, including the following modules:
the air quality standard setting module is used for presetting an air quality standard by the server and synchronizing the air quality standard to each air intelligent control device;
the system comprises seven air index monitoring modules, a sensor group and an air conditioner, wherein the seven air index monitoring modules are used for monitoring seven air indexes of each air intelligent control device in real time through the sensor group and the associated air conditioner;
the air quality analysis result generation module is used for analyzing seven air indexes by the air intelligent control equipment based on the air quality standard to generate an air quality analysis result;
the air quality optimization module is used for optimizing the air quality based on the air quality analysis result by the air intelligent control equipment;
and the data uploading and archiving module is used for the intelligent air control equipment to upload the fault codes, the position data, the seven air indexes and the air quality analysis results to the server for archiving.
Further, the air quality standard setting module specifically comprises:
the server presets an air quality standard including temperature, humidity, PM2.5, TVOC, microorganism volume, oxygen saturation volume and the qualification range of pressure differential, creates a pair of public key and private key, utilizes private key encryption air quality standard will encrypt after air quality standard and public key pass through wireless communication module and give each air intelligent control equipment in step.
Further, in the seven air index monitoring modules, the seven air indexes include temperature, humidity, PM2.5, TVOC, microbial load, oxygen saturation amount, and pressure difference;
the temperature and the humidity are obtained through an associated air conditioner; the PM2.5 is acquired through a PM2.5 sensor; the TVOC is acquired through a TVOC sensor; the oxygen saturation amount is obtained through an oxygen saturation amount sensor; the differential pressure is obtained through a differential pressure sensor;
the microbial mass was calculated based on PM2.5 and TVOC.
Further, the air quality optimization module specifically comprises:
and the air intelligent control equipment calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality based on the air quality analysis result until the seven air indexes meet the air quality standard after decryption by using the public key.
Further, the data uploading archive module specifically includes:
the intelligent air control equipment carries out fault self-checking to generate fault codes, generates position data through a positioner, binds the fault codes, the position data, seven air indexes, air quality analysis results and current time to obtain monitoring data, utilizes the public key to encrypt the monitoring data and then uploads the monitoring data to a server through a wireless communication module to be filed.
The invention has the advantages that:
1. the air intelligent control equipment acquires PM2.5, TVOC, oxygen saturation amount and pressure difference of air through a sensor group, calculates microbial biomass based on PM2.5 and TVOC, acquires temperature and humidity through an air conditioner, namely acquires and calculates seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference in real time, analyzes the seven air indexes based on an air quality standard set by a server to generate an air quality analysis result, and calls an air filter, a positive pressure fan, a negative pressure fan or the air conditioner to optimize air quality based on the air quality analysis result, thereby greatly improving the comprehensiveness of air quality monitoring and adjustment.
2. The fault codes, the position data, the seven air indexes, the air quality analysis result and the current time are bound to obtain monitoring data, the monitoring data are uploaded to a server to be filed, and the monitoring data filed by the server can be used for tracing the source, for example, a doctor-patient dispute occurs in a certain time period at a certain position, a patient suspects that the air quality of a hospital does not reach the standard and causes wound infection of the patient, the tracing can be performed by combining the position data, the seven air indexes and the current time, whether the control quality is qualified or not is judged, and the tracing source of air quality monitoring adjustment is greatly improved; and the fault code is uploaded, so that great convenience is provided for controlling the operation and maintenance of the intelligent control equipment.
3. Through establishing a pair of public key and private key at the server to control equipment for the air intelligence with the public key sending, the data of transmission utilize public key and private key to carry out encryption and decryption between server and the air intelligence control equipment, because the data of public key encryption can only be deciphered by the private key, the data of private key encryption can only be deciphered by the public key, and then very big promotion the security that the air intelligence controlled.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
Fig. 1 is a flow chart of an intelligent control method of air according to the present invention.
Fig. 2 is a schematic structural diagram of an air intelligent control system according to the present invention.
Fig. 3 is a hardware architecture diagram of the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: the air intelligent control equipment acquires and calculates seven air indexes including temperature, humidity, PM2.5, TVOC (total volatile organic compound), microbial quantity, oxygen saturation quantity and pressure difference in real time, and calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize air quality based on the seven air indexes so as to improve the comprehensiveness of air quality monitoring and adjustment; the traceability of air quality monitoring and adjustment is improved by binding the fault code, the position data, the seven air indexes, the air quality analysis result and the current time and uploading the binding result to a server for archiving.
Referring to fig. 1 to 3, the present invention needs to use an air intelligent control device, which includes a single chip, a positioner, an air filter, a positive air compressor, a negative air compressor, a touch display screen, a wireless communication module, and a sensor set;
the sensor group comprises a PM2.5 sensor, a TVOC sensor, an oxygen saturation sensor and a differential pressure sensor;
the positioner, the air filter, the positive air compressor, the negative air compressor, the touch display screen, the wireless communication module, the PM2.5 sensor, the TVOC sensor, the oxygen saturation sensor and the pressure difference sensor are all connected with the single chip microcomputer.
The single chip microcomputer is used for controlling the air intelligent control equipment to work; the positioner is used for positioning the position data of the intelligent air control equipment in real time, so that the intelligent air control equipment can be managed uniformly, for example, fault codes and seven air indexes of the intelligent air control equipment corresponding to the position data are displayed on a map; the air filter is used for reducing PM2.5 of air; the positive air compressor and the negative air compressor both have stepless regulation functions, and the outward blowing or inward air suction can be realized by adjusting the running power of the positive air compressor and the negative air compressor; the touch display screen is used for operating the air intelligent control equipment and displaying seven air indexes; the wireless communication module is used for communicating the air intelligent control equipment with an air conditioner, a server or a control terminal, wherein the control terminal can be a mobile phone, a tablet, a computer intelligent watch, an intelligent television and other equipment; the sensor group is used for monitoring air indexes.
Promptly equipment is controlled to air intelligence can be controlled through touch display screen, server or control terminal, and control terminal can directly link equipment is controlled to air intelligence, perhaps carries out remote control through the server.
The invention discloses a preferred embodiment of an air intelligent control method, which comprises the following steps:
step S10, the server presets an air quality standard and synchronizes the air quality standard to each air intelligent control device; the air quality standard is used for analyzing seven air indexes to judge whether the air quality reaches the standard or not; the air quality standard is established through a server and is synchronously sent to the air intelligent control equipment, and the consistency of the air quality standard used by each air intelligent control equipment is ensured;
s20, monitoring seven air indexes in real time through the sensor group and the associated air conditioner by each air intelligent control device;
step S30, the air intelligent control equipment analyzes seven air indexes based on the air quality standard to generate an air quality analysis result;
step S40, the air intelligent control equipment optimizes the air quality based on the air quality analysis result; when unqualified indexes exist in the seven air indexes, the optimization operation of the corresponding indexes is executed;
and S50, uploading the fault codes, the position data, the seven air indexes and the air quality analysis result to a server by the air intelligent control equipment for archiving, so that the responsibility determination and operation and maintenance are conveniently carried out by tracing the source in the later period.
The step S10 specifically includes:
the server presets an air quality standard including temperature, humidity, PM2.5, TVOC, microorganism volume, oxygen saturation volume and the qualification range of pressure differential, creates a pair of public key and private key, utilizes private key encryption air quality standard will encrypt after air quality standard and public key pass through wireless communication module and give each air intelligent control equipment in step. The transmitted data is encrypted and decrypted by creating the public key and the private key, so that the security of data transmission is greatly improved.
In step S20, the seven air indexes include temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount, and pressure difference;
the temperature and the humidity are obtained through an associated air conditioner; the PM2.5 is acquired through a PM2.5 sensor; the TVOC is acquired through a TVOC sensor; the oxygen saturation amount is obtained through an oxygen saturation amount sensor; the differential pressure is obtained through a differential pressure sensor;
the microbial load was calculated based on PM2.5 and TVOC. The microbial biomass is characterized by superiority, goodness and inferiority, because the value of PM2.5 is in direct proportion to the microbial biomass, and TVOC is a chemical organic matter, the actual microbial biomass can be obtained by calculating the average values of PM2.5 and TVOC and then calculating the mapping function based on each average value and the microbial biomass.
The step S40 specifically includes:
and the air intelligent control equipment calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality based on the air quality analysis result until the seven air indexes meet the air quality standard after decryption by using the public key.
The step S50 specifically includes:
the intelligent air control equipment carries out fault self-checking to generate a fault code, generates position data through a positioner, binds the fault code, the position data, seven air indexes, an air quality analysis result and the current time to obtain monitoring data, encrypts the monitoring data by using the public key, and uploads the monitoring data to a server through a wireless communication module for archiving; the monitoring data can also be pushed to the control terminal.
The invention discloses a preferred embodiment of an air intelligent control system, which comprises the following modules:
the air quality standard setting module is used for presetting an air quality standard by the server and synchronizing the air quality standard to each air intelligent control device; the air quality standard is used for analyzing seven air indexes to judge whether the air quality reaches the standard or not; the server creates the air quality standard and synchronizes the air quality standard to the air intelligent control equipment, so that the consistency of the air quality standard used by each air intelligent control equipment is ensured;
the system comprises seven air index monitoring modules, a sensor group and an air conditioner, wherein the seven air index monitoring modules are used for monitoring seven air indexes of each air intelligent control device in real time through the sensor group and the associated air conditioner;
the air quality analysis result generation module is used for analyzing seven air indexes by the air intelligent control equipment based on the air quality standard to generate an air quality analysis result;
the air quality optimization module is used for optimizing the air quality based on the air quality analysis result by the air intelligent control equipment; when unqualified indexes exist in the seven air indexes, the optimization operation of the corresponding indexes is executed;
and the data uploading and archiving module is used for uploading the fault codes, the position data, the seven air indexes and the air quality analysis result to the server for archiving by the air intelligent control equipment, so that the responsibility confirmation and the operation and maintenance can be conveniently carried out by tracing the source at the later stage.
The air quality standard setting module specifically comprises:
the server presets an air quality standard including temperature, humidity, PM2.5, TVOC, microorganism volume, oxygen saturation volume and the qualification range of pressure differential, creates a pair of public key and private key, utilizes private key encryption air quality standard will encrypt after air quality standard and public key pass through wireless communication module and give each air intelligent control equipment in step. The transmitted data is encrypted and decrypted by creating the public key and the private key, so that the security of data transmission is greatly improved.
In the seven air index monitoring modules, the seven air indexes comprise temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference;
the temperature and the humidity are obtained through an associated air conditioner; the PM2.5 is acquired through a PM2.5 sensor; the TVOC is acquired through a TVOC sensor; the oxygen saturation amount is obtained through an oxygen saturation amount sensor; the differential pressure is obtained through a differential pressure sensor;
the microbial mass was calculated based on PM2.5 and TVOC. The microbial biomass is characterized by superiority, goodness and inferiority, because the value of PM2.5 is in direct proportion to the microbial biomass, and TVOC is a chemical organic matter, the actual microbial biomass can be obtained by calculating the average values of PM2.5 and TVOC and then calculating the mapping function based on each average value and the microbial biomass.
The air quality optimization module specifically comprises:
and the air intelligent control equipment calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality based on the air quality analysis result until the seven air indexes meet the air quality standard after decryption by using the public key.
The data uploading archiving module specifically comprises:
the intelligent air control equipment carries out fault self-checking to generate a fault code, generates position data through a positioner, binds the fault code, the position data, seven air indexes, an air quality analysis result and the current time to obtain monitoring data, encrypts the monitoring data by using the public key, and uploads the monitoring data to a server through a wireless communication module for archiving; the monitoring data can also be pushed to the control terminal.
In summary, the invention has the advantages that:
1. the air intelligent control equipment acquires PM2.5, TVOC, oxygen saturation amount and pressure difference of air through the sensor group, calculate microbial biomass based on PM2.5 and TVOC, acquire temperature and humidity through the air conditioner, namely acquire and calculate seven air indexes including temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference in real time, analyze seven air indexes based on the air quality standard set by the server to generate an air quality analysis result, and call an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize air quality based on the air quality analysis result, so that the comprehensiveness of air quality monitoring and adjustment is greatly improved.
2. The fault codes, the position data, the seven air indexes, the air quality analysis result and the current time are bound to obtain monitoring data, the monitoring data are uploaded to a server to be filed, and the monitoring data filed by the server can be used for tracing the source, for example, a doctor-patient dispute occurs in a certain time period at a certain position, a patient suspects that the air quality of a hospital does not reach the standard and causes wound infection of the patient, the tracing can be performed by combining the position data, the seven air indexes and the current time, whether the control quality is qualified or not is judged, and the tracing source of air quality monitoring adjustment is greatly improved; and the fault code is uploaded, so that great convenience is provided for controlling the operation and maintenance of the intelligent control equipment.
3. Through establishing a pair of public key and private key at the server to control equipment for the air intelligence with the public key sending, the data of transmission utilize public key and private key to carry out encryption and decryption between server and the air intelligence control equipment, because the data of public key encryption can only be deciphered by the private key, the data of private key encryption can only be deciphered by the public key, and then very big promotion the security that the air intelligence controlled.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (10)
1. An air intelligent control method is characterized in that: the method comprises the following steps:
step S10, the server presets an air quality standard and synchronizes the air quality standard to each air intelligent control device;
s20, monitoring seven air indexes in real time through the sensor group and the associated air conditioner by each air intelligent control device;
step S30, the air intelligent control equipment analyzes seven air indexes based on the air quality standard to generate an air quality analysis result;
step S40, the air intelligent control equipment optimizes the air quality based on the air quality analysis result;
and S50, the intelligent air control equipment uploads the fault codes, the position data, the seven air indexes and the air quality analysis result to a server for archiving.
2. The intelligent control method of air as claimed in claim 1, wherein: the step S10 specifically includes:
the server presets an air quality standard including the qualification range of temperature, humidity, PM2.5, TVOC, microorganism volume, oxygen saturation volume and pressure differential, creates a pair of public key and private key, utilizes private key encryption air quality standard, after will encrypting air quality standard and public key pass through wireless communication module and give each air intelligent control equipment in step.
3. The intelligent control method of air as claimed in claim 1, wherein: in step S20, the seven air indexes include temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount, and pressure difference;
the temperature and the humidity are obtained through an associated air conditioner; the PM2.5 is acquired through a PM2.5 sensor; the TVOC is acquired through a TVOC sensor; the oxygen saturation amount is obtained through an oxygen saturation amount sensor; the differential pressure is obtained through a differential pressure sensor;
the microbial mass was calculated based on PM2.5 and TVOC.
4. An intelligent control method of air as claimed in claim 2, wherein: the step S40 specifically includes:
and the air intelligent control equipment calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality based on the air quality analysis result until the seven air indexes meet the air quality standard after decryption by using the public key.
5. An intelligent control method of air as claimed in claim 2, wherein: the step S50 specifically includes:
the intelligent air control equipment carries out fault self-checking to generate fault codes, generates position data through a positioner, binds the fault codes, the position data, seven air indexes, air quality analysis results and current time to obtain monitoring data, utilizes the public key to encrypt the monitoring data and then uploads the monitoring data to a server through a wireless communication module to be filed.
6. An air intelligent control system is characterized in that: the system comprises the following modules:
the air quality standard setting module is used for presetting an air quality standard by the server and synchronizing the air quality standard to each air intelligent control device;
the system comprises seven air index monitoring modules, a sensor group and an air conditioner, wherein the seven air index monitoring modules are used for monitoring seven air indexes of each air intelligent control device in real time through the sensor group and the associated air conditioner;
the air quality analysis result generation module is used for analyzing seven air indexes by the air intelligent control equipment based on the air quality standard to generate an air quality analysis result;
the air quality optimization module is used for optimizing the air quality based on the air quality analysis result by the air intelligent control equipment;
and the data uploading and archiving module is used for the intelligent air control equipment to upload the fault codes, the position data, the seven air indexes and the air quality analysis results to the server for archiving.
7. An intelligent control system for air as claimed in claim 6, wherein: the air quality standard setting module specifically comprises:
the server presets an air quality standard including temperature, humidity, PM2.5, TVOC, microorganism volume, oxygen saturation volume and the qualification range of pressure differential, creates a pair of public key and private key, utilizes private key encryption air quality standard will encrypt after air quality standard and public key pass through wireless communication module and give each air intelligent control equipment in step.
8. An intelligent control system for air as claimed in claim 6, wherein: in the seven air index monitoring modules, the seven air indexes comprise temperature, humidity, PM2.5, TVOC, microbial biomass, oxygen saturation amount and pressure difference;
the temperature and the humidity are obtained through an associated air conditioner; the PM2.5 is acquired through a PM2.5 sensor; the TVOC is acquired through a TVOC sensor; the oxygen saturation amount is obtained through an oxygen saturation amount sensor; the differential pressure is obtained through a differential pressure sensor;
the microbial mass was calculated based on PM2.5 and TVOC.
9. An intelligent control system for air as claimed in claim 7, wherein: the air quality optimization module specifically comprises:
and the air intelligent control equipment calls an air filter, a positive pressure fan, a negative pressure fan or an air conditioner to optimize the air quality based on the air quality analysis result until the seven air indexes meet the air quality standard after decryption by using the public key.
10. An intelligent control system for air as claimed in claim 7, wherein: the data uploading archiving module specifically comprises:
the intelligent air control equipment carries out fault self-checking to generate fault codes, generates position data through a positioner, binds the fault codes, the position data, seven air indexes, air quality analysis results and current time to obtain monitoring data, utilizes the public key to encrypt the monitoring data and then uploads the monitoring data to a server through a wireless communication module to be filed.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104833065A (en) * | 2015-04-07 | 2015-08-12 | 杨彬 | Intelligent air purifier and intelligent air purification system |
| CN105162821A (en) * | 2015-06-27 | 2015-12-16 | 广东天际电器股份有限公司 | Intelligent air-conditioning system and application thereof |
| CN105823173A (en) * | 2016-03-22 | 2016-08-03 | 青岛海尔智能技术研发有限公司 | Air purification method and system |
| CN106196527A (en) * | 2016-08-31 | 2016-12-07 | 北京爱空气科技有限公司 | A kind of air cleaning service system and air cleaning method of servicing |
| CN106288168A (en) * | 2016-08-11 | 2017-01-04 | 合肥通用电源设备有限公司 | A kind of indoor air cleaning system and method |
| CN106440270A (en) * | 2016-01-14 | 2017-02-22 | 深圳前海诺科兰德有限公司 | Indoor air monitoring and purifying intelligent control system and monitoring and purifying method |
| WO2017121107A1 (en) * | 2016-01-13 | 2017-07-20 | 东莞市利发爱尔空气净化***有限公司 | Air purifier system |
| CN111076320A (en) * | 2019-11-26 | 2020-04-28 | 三个爸爸家庭智能环境科技（北京）有限公司 | Distributed purification system, equipment and method |
| CN111426799A (en) * | 2020-04-13 | 2020-07-17 | 安徽天达网络科技有限公司 | Indoor air quality intelligent monitoring system and control method thereof |
| CN211503153U (en) * | 2019-07-10 | 2020-09-15 | 河南省建筑科学研究院有限公司 | Indoor air quality cooperative monitoring and regulation system based on multiple targets |
| CN111829134A (en) * | 2020-08-04 | 2020-10-27 | 深圳市英维克健康环境科技有限公司 | Control method, control system, controller and storage medium for indoor air environment |
| KR102231010B1 (en) * | 2020-12-22 | 2021-03-24 | 잎스 주식회사 | Monitoring system of Indoor based on air quality |
| CN113188242A (en) * | 2021-04-07 | 2021-07-30 | 深圳市格林维尔技术有限公司 | Group type air purification method and device, air purification robot and computer readable storage medium |
| KR20220008132A (en) * | 2020-07-13 | 2022-01-20 | 주식회사 유비벨록스모바일 | Air cleaner equipped with alarm function for filter replacement time based on filter contamination measurement and filter status monitoring system using this |
| CN215637688U (en) * | 2021-04-25 | 2022-01-25 | 科锐特（厦门）净化科技有限公司 | Toilet engineering system |
-
2022
- 2022-04-14 CN CN202210390029.XA patent/CN114811916A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104833065A (en) * | 2015-04-07 | 2015-08-12 | 杨彬 | Intelligent air purifier and intelligent air purification system |
| CN105162821A (en) * | 2015-06-27 | 2015-12-16 | 广东天际电器股份有限公司 | Intelligent air-conditioning system and application thereof |
| WO2017121107A1 (en) * | 2016-01-13 | 2017-07-20 | 东莞市利发爱尔空气净化***有限公司 | Air purifier system |
| CN106440270A (en) * | 2016-01-14 | 2017-02-22 | 深圳前海诺科兰德有限公司 | Indoor air monitoring and purifying intelligent control system and monitoring and purifying method |
| CN105823173A (en) * | 2016-03-22 | 2016-08-03 | 青岛海尔智能技术研发有限公司 | Air purification method and system |
| CN106288168A (en) * | 2016-08-11 | 2017-01-04 | 合肥通用电源设备有限公司 | A kind of indoor air cleaning system and method |
| CN106196527A (en) * | 2016-08-31 | 2016-12-07 | 北京爱空气科技有限公司 | A kind of air cleaning service system and air cleaning method of servicing |
| CN211503153U (en) * | 2019-07-10 | 2020-09-15 | 河南省建筑科学研究院有限公司 | Indoor air quality cooperative monitoring and regulation system based on multiple targets |
| CN111076320A (en) * | 2019-11-26 | 2020-04-28 | 三个爸爸家庭智能环境科技（北京）有限公司 | Distributed purification system, equipment and method |
| CN111426799A (en) * | 2020-04-13 | 2020-07-17 | 安徽天达网络科技有限公司 | Indoor air quality intelligent monitoring system and control method thereof |
| KR20220008132A (en) * | 2020-07-13 | 2022-01-20 | 주식회사 유비벨록스모바일 | Air cleaner equipped with alarm function for filter replacement time based on filter contamination measurement and filter status monitoring system using this |
| CN111829134A (en) * | 2020-08-04 | 2020-10-27 | 深圳市英维克健康环境科技有限公司 | Control method, control system, controller and storage medium for indoor air environment |
| KR102231010B1 (en) * | 2020-12-22 | 2021-03-24 | 잎스 주식회사 | Monitoring system of Indoor based on air quality |
| CN113188242A (en) * | 2021-04-07 | 2021-07-30 | 深圳市格林维尔技术有限公司 | Group type air purification method and device, air purification robot and computer readable storage medium |
| CN215637688U (en) * | 2021-04-25 | 2022-01-25 | 科锐特（厦门）净化科技有限公司 | Toilet engineering system |
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