CN108302735A - Device and method for controlling air cleaning system - Google Patents

Device and method for controlling air cleaning system Download PDF

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Publication number
CN108302735A
CN108302735A CN201610871902.1A CN201610871902A CN108302735A CN 108302735 A CN108302735 A CN 108302735A CN 201610871902 A CN201610871902 A CN 201610871902A CN 108302735 A CN108302735 A CN 108302735A
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air
indoor
data
air cleaning
equipment
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于璐
祁仲昂
胡卫松
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NEC Corp
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NEC Corp
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

This application provides a kind of equipment for controlling air cleaning system, including:Data capture unit, is configured as obtaining indoor and outdoors air quality datas, indoor air purification historical data and the estimated value of time for opening air cleaning system in advance;Modeling unit is configured as establishing Model for Multi-Objective Optimization based on acquired data and according to multiple targets;And control unit, it is configured as controlling the operation of air cleaning system by solving the Model for Multi-Objective Optimization.Present invention also provides a kind of methods for controlling air cleaning system.The application is ensureing comfortable living and working environment simultaneously, reduces the energy consumption of air cleaning system as much as possible.

Description

Device and method for controlling air cleaning system
Technical field
This application involves data analysis fields, and in particular to a kind of device and method for controlling air cleaning system.
Background technology
With the propulsion of industrial development and modernization, global air pollution getting worse, people's live and work Indoor air quality is also gradually deteriorated.According to statistics, people is in the time in various indoor environments up to 70%-80%, and city occupies The time is even as high as 90% to the people indoors.The pollutant concentrations such as indoor formaldehyde, benzene homologues, ammonia, ozone are significantly larger than outdoor.From Reality sees, when indoor PM2.5 is exceeded and no less than outdoor.The main source of indoor PM2.5 includes flue gas, micro- life Object, kitchen fume, air-conditioning etc., while also being influenced by outdoor PM2.5.
With regard to environmental pollution for the influence of health, all spent indoors one day most of the time due to people, So the quality of indoor environment will directly affect the work and life of people, in some instances it may even be possible to the health of people is threatened, and One main aspect of indoor environment problem is exactly the raising of air quality.To ensure health and good life and work ring Border needs to purify room air.Existing air purifier mostly uses greatly suction room air, by cleaning module mistake Filter discharge, iterative cycles are purified.Meanwhile fresh air system can be also installed indoors, ensure the circulation with outdoor air.Cause This, needs to coordinate to control each equipment so that air purifier can efficiently carry out indoor air purification with fresh air machine, reach rapidly To comfortable safe indoor environment standard.
It is pointedly right by different control models that bibliography 1 (Chinese patent application CN201510561871.5) is proposed Room air is purified, and is adjusted according to the difference of indoor and outdoor temperature.Specifically, it is dirty to first have to acquisition air for the program Object and temperature value are contaminated, judges the contaminated degree of indoor and outdoor air and the outdoor temperature difference accordingly.Then, Outdoor Air Quality is calculated (AQI) and interior AQI judges the contaminated degree of indoor and outdoor air, to the keying air inlet or return air inlet of selectivity.Finally, Corresponding purification pattern is selected according to analysis result.
Invention content
However, bibliography 1 in real time purifies room air according only to current indoor external environment information, but not Have and considers personnel activity's situation.The prodigious energy can be caused by being purified without the movable interior of personnel to no personnel or long-time Consumption.Further, since there are certain retardances for air purification effect, it is expected that opening purification in advance before personnel get in System purifies room air, and there are one comfortable environment when to make personnel get in.
The application proposes, according to indoor purifying historical data, fitting pollutants in air (such as PM2.5, carbon monoxide, Sulfur dioxide, nitric oxide, hydrogen phosphide, hydrogen chloride, VOC etc.) needed for dissipation function in purification process and air purification The preliminary valuation of time, indoor and outdoor air quality prediction information, to establish multiple-objection optimization mathematical model, including reduction The concentration of pollutants in air reduces indoor temperature and humidity and target humiture difference, reduces system capacity consumption etc..Then, right Multiple-objection optimization mathematical model is solved, and accurate air cleaning system control strategy is obtained.In this way, being got in personnel Before, it will be able to so that indoor air quality is reached good.
Specifically, according to the one side of the application, a kind of equipment for controlling air cleaning system is provided, is wrapped It includes:Data capture unit is configured as obtaining indoor and outdoors air quality data, indoor air purification historical data and shift to an earlier date Open the estimated value of the time of air cleaning system;Modeling unit is configured as based on acquired data and according to multiple mesh It marks to establish Model for Multi-Objective Optimization;And control unit, it is configured as by being solved to the Model for Multi-Objective Optimization To control the operation of air cleaning system.
In one embodiment, indoor and outdoors air quality data can be historical data or prediction data.Interior Space It may include following one or more that gas, which purifies historical data,:The opening time of each equipment in air cleaning system and shelves Position, the variation of pollutants in air concentration, the variation of the temperature of air or humidity.
In one embodiment, it can estimate to open the time of air cleaning system in advance according to personnel activity's timetable Estimated value.
In one embodiment, above-mentioned multiple targets may include following two or more items:It reduces in room air Pollutant concentration reduces indoor temperature or humidity and the difference of indoor target temperature or humidity, reduction air cleaning system energy consumption.
In one embodiment, control unit is configured as:By arbitrary in linear programming, convex optimization, genetic algorithm A kind of algorithm solves the Model for Multi-Objective Optimization, to obtain the control strategy of air cleaning system;And based on institute The control strategy of acquisition controls the operation of air cleaning system.
Further, since there are certain uncertainty and randomnesss by personnel activity, it is understood that there may be the indoor people not predicted Member's activity.For this purpose, in one embodiment, which further includes monitoring unit, which monitors indoor occupant activity feelings The air quality of condition and indoor and outdoors.If monitoring personnel activity, personnel activity's data are stored in database.Accordingly Ground, control unit are configured as:If the monitoring unit monitors personnel activity, according to the air quality of indoor and outdoors Monitoring data determine indoor air pollution degree;And if indoor air pollution degree meets specified conditions, Air cleaning system is opened immediately.
According to further aspect of the application, a kind of method for controlling air cleaning system is provided, including:It obtains Indoor and outdoors air quality data, indoor air purification historical data and the estimation of the time of unlatching air cleaning system in advance Value;Model for Multi-Objective Optimization is established based on acquired data and according to multiple targets;And by excellent to the multiple target Change model to be solved to control the operation of air cleaning system.
In one embodiment, indoor and outdoors air quality data can be historical data or prediction data.Interior Space It may include following one or more that gas, which purifies historical data,:The opening time of each equipment in air cleaning system and shelves Position, the variation of pollutants in air concentration, the variation of the temperature of air or humidity.
In one embodiment, it can estimate to open the time of air cleaning system in advance according to personnel activity's timetable Estimated value.
In one embodiment, above-mentioned multiple targets may include following two or more items:It reduces in room air Pollutant concentration reduces indoor temperature or humidity and the difference of indoor target temperature or humidity, reduction air cleaning system energy consumption.
In one embodiment, by any one algorithm in linear programming, convex optimization, genetic algorithm to more mesh Mark Optimized model is solved, to obtain the control strategy of air cleaning system;And it is controlled based on the control strategy obtained The operation of air cleaning system processed.
In one embodiment, this method further includes monitoring indoor occupant activity condition and the air matter of indoor and outdoors Amount.If monitoring personnel activity, personnel activity's data are stored in database.Correspondingly, if monitoring personnel activity, Indoor air pollution degree is determined according to the monitoring data of the air quality of indoor and outdoors.If indoor air pollution Degree meets specified conditions, then opens air cleaning system immediately.
The application opens air cleaning system in advance according to personnel activity's situation and indoor and outdoor air quality information, and And multiple indoor environmental impact factor is coordinated by Multipurpose Optimal Method, ensureing comfortable living and working environment while to the greatest extent may be used Reduce to energy the energy consumption of air cleaning system.
Description of the drawings
By the detailed description below in conjunction with attached drawing, above and other feature of the application will become more apparent, In:
Fig. 1 is the block diagram for showing the equipment for controlling air cleaning system according to the application one embodiment.
Fig. 2 is the flow chart for showing the method for controlling air cleaning system according to the application one embodiment.
Specific implementation mode
In the following, the description to the specific embodiment of the application in conjunction with the accompanying drawings, the principle of the application and realization will become It obtains obviously.It should be noted that the application should not be limited to specific embodiments described below.In addition, for simplicity saving The detailed description of the known technology unrelated with the application is omited.
Fig. 1 is the block diagram for showing the equipment 10 for controlling air cleaning system according to the application one embodiment. As shown in Figure 1, equipment 10 may include data capture unit 110, modeling unit 120 and control unit 130.Optionally, equipment 10 can also include monitoring unit 140 (shown in the dotted line in Fig. 1).
Data capture unit 110 is configured as obtaining indoor and outdoors air quality data, indoor air purification history number According to the estimated value with the time for opening air cleaning system in advance.For example, data capture unit 110 can obtain known interior With Outdoor Air Quality data.Alternatively, data capture unit 110 can be based on indoor and outdoors air quality historical data, And geographical location information etc. builds air quality using data digging methods such as support vector machines, neural network, decision trees Prediction model predicts the air quality of following a period of time.
Indoor air purification historical data is the data acquired in air purification process indoors, including air cleaning system The opening time of interior each equipment (such as clarifier, new wind turbine, humidifier, air-conditioning etc.), gear, pollutants in air are dense Degree, humiture variation etc..According to historical data, dissipation function of the pollutant in purification process can be fitted.
Here, indoor air purification historical data may include each equipment in air cleaning system opening time and The variation of gear, the temperature of the variation of pollutants in air concentration or air or humidity.
In addition, according to known or personnel activity's timetable by predicting to obtain, it is estimated that being reached in personnel indoor Before, need the time (that is, opening the estimated value of the time of air cleaning system in advance) for opening air cleaning system in advance.
Hereinafter, providing the specific example solved to dissipation function.It is shown in following table on multiple time points PM2.5 dissipation data.
Time 1 2 3 4 5 6 7 8 9 10 11
Concentration 0.348 0.284 0.234 0.198 0.169 0.142 0.119 0.101 0.086 0.073 0.062
Time 12 13 14 15 16 17 18 19 20 21 22
Concentration 0.052 0.045 0.037 0.032 0.027 0.022 0.02 0.017 0.015 0.014 0.011
Time 23 24 25 26 27 28 29 30 31 32 33
Concentration 0.01 0.008 0.007 0.006 0.005 0.004 0.003 0.002 0.001 0.001 0.001
Time 34 35 36 37 38 39 40 41 42 43 44
Concentration 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001
Time 45 46
Concentration 0.001 0.001
Table 1-PM2.5 dissipation data
In this example, Thermal conduction is carried out by least square method.The exponential function can be deformed into:
Y=aebx→ lny=lna+bx → y '=a '+bx
Equation group is at this time:
∴a1=-1.253, b=-0.146
∴ a=0.285, b=-0.146
∴ y=0.285c0.146xFor the PM2.5 dissipation functions of above-mentioned data.
Modeling unit 120 is configured as establishing multiple-objection optimization mould based on acquired data and according to multiple targets Type.Here, the multiple target for example may include following two or more items:Reduce room air in pollutant concentration, Reduce indoor temperature or humidity and the difference of indoor target temperature or humidity, reduction air cleaning system energy consumption.
For example, Model for Multi-Objective Optimization can be:
Wherein,
W () indicates energy expenditure,
C () indicates particle concentration function,
Δ T () indicates set temperature and actual temperature difference function,
P indicates power,
F () indicates concentration variation function (dissipation function),
X, t indicate control variable (gear and time).
Control unit 130 is configured as controlling air cleaning system by solving the Model for Multi-Objective Optimization Operation.For example, control unit 130 can be configured as through any one calculation in linear programming, convex optimization, genetic algorithm Method solves the Model for Multi-Objective Optimization, to obtain the control strategy of air cleaning system.
Hereinafter, providing the specific example solved to Model for Multi-Objective Optimization.
Assuming that being mounted with a clarifier, a new wind turbine and an air-conditioning indoors.Only there are one shelves for these equipment Position.Assuming that the power of clarifier, new wind turbine, air-conditioning is respectively 20W, 30W, 20W, and dissipation function is it is known that then establish multiple target Optimized mathematical model is as follows:
s.t.t1For the nonnegative integer less than or equal to 60
t2For the nonnegative integer less than or equal to 30
t3For the nonnegative integer less than or equal to 30
p1=0.02, p2=0.03, p3=0.02
In this example, above-mentioned Optimized model is solved using genetic algorithm, process is as follows:
1) control variable t binary system is converted to encode.Individual UVR exposure total length is 16, and first 6 are t1, then 5 are t2, last 5 are t3.Fitness function is identical as object function.Setting has 5 individuals per a generation.
2) first generation group is generated at random:
X01=(110,010 00,111 01101)
X02=(000,101 10,010 10110)
X03=(000,001 00,011 10011)
X04=(001,000 00,010 00100)
X05=(101,101 10,001 01000)
This 5 individuals are evaluated, 5 individual fitness values is calculated separately, obtains:
fitness01=1.778
fitness02=1.611
fitness03=1.923
fitness04=1.706
fitnesso5=1.773
3) it selects the preferable individual of fitness and carries out genetic manipulation, including intersection and mutation operation.Crossover operation is Refer to:The preferable individual of selection two, encodes it and carries out part exchange, the individual in the newly-generated individual seat next generation.
X02=(000,101 10,010 10110) → (001,001 00,010 10100) → X11
X04=(001,000 00,010 00100) → (000,100 10,010 00110) → X12
And mutation operation refers to:Change certain positions in excellent individual coding immediately.
X02=(000,101 10,010 10110) → (001,101 00,010 00110) → X13
X04=(001,000 00,010 00100) → (001,000 01,010 01100) → X14
Meanwhile also retaining the fitst water individual in previous generation to X in the next generation02→X15
4) 5 new individuals of first generation population have just been obtained at this time:X11, X12, X13, X14, X15.Calculate their fitness
fitness11=1.724
fitness12=1.601
fitness13=1.461
fitness14=1.230
fitness1s=1.611
5) genetic manipulation again as shown in step 3, is carried out, until the n-th generation
….
It obtains
Xn1=(001,111 01,100 01000) fitnessn1=1.201
Xn2=(010,011 01,110 01011) fitnessn2=1.237
Xn3=(001,110 01,001 01011) fitnessn3=1.162
Xn4=(001,111 01,010 01100) fitnessn4=1.167
Xn5=(010,001 01,000 00111) fitnessn5=1.224
Select Xn3For final result, i.e. t1=14, t2=9, t3=11
That is, before personnel reach interior, 14 minutes unlatching clarifiers, open new wind turbine in 9 minutes in advance in advance, 11 points in advance Clock opens air-conditioning.
Control unit 130 can control the operation of air cleaning system based on the control strategy obtained.In this way, control Unit 130 can to the equipment (such as clarifier, new wind turbine, humidifier, air-conditioning etc.) that needs to open in air cleaning system with And unlatching/shut-in time is controlled accordingly.
Further, since there are certain uncertainty and randomnesss by personnel activity, it is understood that there may be the indoor people not predicted Member's activity.For preferably monitoring personnel's activity, which can also include monitoring unit 140, the monitoring unit 140 monitoring The air quality of indoor occupant activity condition and indoor and outdoors.For example, can be lived by sensor to monitor indoor occupant Emotionally condition, including personnel amount, time etc. indoors.Personnel are movable in the case that having, can be to indoor environment into advancing one Step analysis.
The monitoring of the air quality of indoor and outdoors may include by gas sensor acquire air pollutants (such as PM2.5, carbon monoxide, sulfur dioxide, nitric oxide, hydrogen phosphide, hydrogen chloride, VOC concentration etc.) and temperature value and humidity value, Judge the air pollution degree and the temperature difference of indoor and outdoors accordingly.
Alternatively, if monitoring unit 140 monitors personnel activity, personnel activity's data are stored in database.It is deposited The data entered can be used as historical data, convenient for being capable of providing more accurately prediction when using future and judging.
Correspondingly, control unit 130 is configured as in the case where monitoring unit 140 monitors personnel activity, according to room The monitoring data of interior and outdoor air quality determine indoor air pollution degree.If indoor air pollution degree is full Sufficient specified conditions, then control unit 130 open air cleaning system immediately.
Control unit 130 can carry out grading control to air cleaning system.For example, air quality is below standard indoors In the case of, if Outdoor Air Quality is level-one, open new wind turbine;If the non-level-one of Outdoor Air Quality and carbon dioxide is dense When degree is not high, air purifier is opened;If Outdoor Air Quality is higher and indoor carbon dioxide concentration is higher, open simultaneously Air purifier and new wind turbine.
Personnel activity, situation that can be true to accident or forecasting inaccuracy are monitored in real time by using monitoring unit 140 It compensates, it is ensured that having the good of the movable indoor environment of personnel.
Fig. 2 is the flow chart for showing the method for controlling air cleaning system according to the application one embodiment. As shown in Fig. 2, method 20 starts at step S210.
In step S220, obtains indoor and outdoors air quality data, indoor air purification historical data and open in advance The estimated value of the time of air cleaning system.As described above, indoor and outdoors air quality data can be historical data or Prediction data.Indoor air purification historical data may include following one or more:Each in air cleaning system sets Standby opening time and gear, the variation of pollutants in air concentration, the variation of the temperature of air or humidity.Furthermore it is possible to root Estimate to open the estimated value of the time of air cleaning system in advance according to personnel activity's timetable.
In step S230, Model for Multi-Objective Optimization is established based on acquired data and according to multiple targets.It is multiple Target may include following two or more items:Reduce the pollutant concentration in room air, reduce indoor temperature or humidity with The difference of indoor target temperature or humidity reduces air cleaning system energy consumption.
In step S240, the operation of air cleaning system is controlled by being solved to the Model for Multi-Objective Optimization. Preferably, Model for Multi-Objective Optimization can be asked by any one algorithm in linear programming, convex optimization, genetic algorithm Solution, to obtain the control strategy of air cleaning system.Furthermore it is possible to control air purification system based on the control strategy obtained The operation of system.
Alternatively, this method 20 can also include (being not shown in Fig. 2) monitoring indoor occupant activity condition and it is indoor and Outdoor air quality, and personnel activity's data are stored in database when monitoring personnel activity.Correspondingly, if monitoring To personnel activity, then indoor air pollution degree is determined according to the monitoring data of the air quality of indoor and outdoors;And If indoor air pollution degree meets specified conditions, air cleaning system is opened immediately.In this way, people can be monitored in real time Member's activity, the situation true to accident or forecasting inaccuracy compensate, it is ensured that are having the movable indoor environment of personnel It is good.
Finally, method 20 terminates at step S250.
It should be understood that above-described embodiment of the application can pass through the combination of both software, hardware or software and hardware To realize.For example, the various assemblies in system in above-described embodiment can realize that these devices include by a variety of devices But it is not limited to:It is analog circuit, digital circuit, general processor, Digital Signal Processing (DSP) circuit, programmable processor, special Integrated circuit (ASIC), field programmable gate array (FPGA), programmable logic device (CPLD), etc..
In addition, it will be understood to those skilled in the art that parameter and/or data described in the embodiment of the present application can deposit Storage in the local database, can also be stored in distributed data base or can be stored in remote data base.
In addition, embodiments herein disclosed herein can be realized on computer program product.More specifically, should Computer program product is a kind of following product:With computer-readable medium, coding has calculating on computer-readable medium Machine program logic, when being performed on the computing device, the computer program logic provide relevant operation to realize the application's Above-mentioned technical proposal.When being executed at least one processor in computing system, computer program logic makes processor hold Operation (method) described in row the embodiment of the present application.This set of the application is typically provided as being arranged or encode in such as light Software, code and/or other data structures on the computer-readable medium of medium (such as CD-ROM), floppy disk or hard disk etc., Or other media or the one or more moulds of such as one or more ROM or firmware or microcode on RAM or PROM chips Downloadable software image in the block, shared data bank etc..Software or firmware or this configuration can install on the computing device, with So that one or more of computing device processor executes technical solution described in the embodiment of the present application.
Although the preferred implementation for having been combined the application above is illustrated the application, those skilled in the art will It will be appreciated that in the case where not departing from spirit and scope, the application can be carry out various modifications, replaced and changed Become.Therefore, the application should not be limited by above-described embodiment, and should be limited by appended claims and its equivalent.

Claims (16)

1. a kind of equipment for controlling air cleaning system, including:
Data capture unit is configured as obtaining indoor and outdoors air quality data, indoor air purification historical data and carry The estimated value of the preceding time for opening air cleaning system;
Modeling unit is configured as establishing Model for Multi-Objective Optimization based on acquired data and according to multiple targets;And
Control unit is configured as controlling the behaviour of air cleaning system by solving the Model for Multi-Objective Optimization Make.
2. equipment according to claim 1, wherein the indoor and outdoors air quality data is historical data or prediction Data.
3. equipment according to claim 1, wherein the indoor air purification historical data includes with the next item down or more :The opening time of each equipment in air cleaning system and gear, the variation of pollutants in air concentration, air temperature Or the variation of humidity.
4. equipment according to claim 1, wherein estimate to open air purification system in advance according to personnel activity's timetable The estimated value of the time of system.
5. equipment according to claim 1, wherein the multiple target includes following two or more items:It reduces indoor Pollutant concentration, reduction indoor temperature or humidity in air and the difference of indoor target temperature or humidity, reduction air purification System energy consumption.
6. equipment according to claim 1, wherein described control unit is configured as:
The Model for Multi-Objective Optimization is solved by any one algorithm in linear programming, convex optimization, genetic algorithm, To obtain the control strategy of air cleaning system;And
The operation of air cleaning system is controlled based on the control strategy obtained.
7. equipment according to claim 1, further includes:
Monitoring unit is configured as monitoring indoor occupant activity condition and the air quality of indoor and outdoors;If monitored Personnel activity's data are then stored in database by personnel activity.
8. equipment according to claim 7, wherein described control unit is configured as:
If the monitoring unit monitors personnel activity, determined according to the monitoring data of the air quality of indoor and outdoors Indoor air pollution degree;And
If indoor air pollution degree meets specified conditions, air cleaning system is opened immediately.
9. a kind of method for controlling air cleaning system, including:
Obtain indoor and outdoors air quality datas, indoor air purification historical data and open in advance air cleaning system when Between estimated value;
Model for Multi-Objective Optimization is established based on acquired data and according to multiple targets;And
The operation of air cleaning system is controlled by being solved to the Model for Multi-Objective Optimization.
10. according to the method described in claim 9, wherein, the indoor and outdoors air quality data is historical data or pre- Measured data.
11. according to the method described in claim 9, wherein, the indoor air purification historical data includes with the next item down or more It is multinomial:The opening time of each equipment in air cleaning system and gear, the variation of pollutants in air concentration, air temperature The variation of degree or humidity.
12. according to the method described in claim 9, wherein, estimating to open air purification in advance according to personnel activity's timetable The estimated value of the time of system.
13. according to the method described in claim 9, wherein, the multiple target includes following two or more items:It reduces indoor Pollutant concentration, reduction indoor temperature or humidity in air and the difference of indoor target temperature or humidity, reduction air purification System energy consumption.
14. according to the method described in claim 9, wherein, passing through any one in linear programming, convex optimization, genetic algorithm Algorithm solves the Model for Multi-Objective Optimization, to obtain the control strategy of air cleaning system;And based on being obtained Control strategy control the operation of air cleaning system.
15. according to the method described in claim 9, further including:
Monitor indoor occupant activity condition and the air quality of indoor and outdoors;And
If monitoring personnel activity, personnel activity's data are stored in database.
16. according to the method for claim 15, wherein
If monitoring personnel activity, determine that indoor air is dirty according to the monitoring data of the air quality of indoor and outdoors Dye degree;And
If indoor air pollution degree meets specified conditions, air cleaning system is opened immediately.
CN201610871902.1A 2016-09-30 2016-09-30 Device and method for controlling air cleaning system Pending CN108302735A (en)

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