CN106021858A - A calculating method for index evaluation data representing indoor air environment quality - Google Patents
A calculating method for index evaluation data representing indoor air environment quality Download PDFInfo
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Abstract
The invention provides a calculating method for index evaluation data representing indoor air environment quality. The method establishes a multi-index evaluation system; according to the influence characteristics and degree of the evaluation index system, the evaluation index system for indoor air quality, the index data of special evaluation items and a comprehensive calculation method are established based on three aspects of indoor environment comfort, health and safety. The method comprises the steps of establishing the evaluation index system; determining and monitoring the special evaluation items of each evaluation index; establishing a calculating method for calculation to acquire the comprehensive status of indoor air quality. The specific calculating method is that the total score of the comprehensive evaluation of indoor air quality is the product of the cube root of the score of the safety category, the score of the comfort category and the score of the health category.
Description
Technical field
The invention belongs to environmental quality assessment field, specifically, relate to a kind of finger characterizing indoor air environment quality
The computational methods of mark evaluating data.
Background technology
Room air pollution is closely related with the quality of life of people, carries out Indoor Air Quality Evaluation, studies Interior Space
Gas mass change trend tool is of great significance.The evaluation methodology of the IAQ (indoor air quality) having pointed out at present mainly has evaluation
The Grey Incidence Analysis of index method, Field Using Fuzzy Comprehensive Assessment and gray system theory.
Single pollution assessment index in evaluation number method reflects the single pollutant pollution level to room air；Comprehensively
Evaluation number can reflect the multiple pollutant comprehensive effect to room air.Select the suitable assessment indicator system can be more objective
See the situation evaluating IAQ (indoor air quality).
Fuzzy synthesis grading method need to set up each factor membership function to each rank, and process is more numerous, and it was combined
The elementary operation rule of journey is to take little taking greatly, emphasizes the effect of weights, and information of losing is more, the impact of prominent severe pollutant,
And ignore the comprehensive effect of every pollution factor, make level of pollution move to serious direction, lose comprehensive to a certain extent
Close the meaning evaluated.
Grey Incidence Analysis is the abundant information provided according to Grey Incidence Matrix, it may be determined that the rank of sample, instead
Reflecting and be in the difference of air quality between same rank sample, evaluation result is intuitive and reliable, but compared with evaluation number method its
Algorithm is more numerous.
The present invention sets up the computational methods of a kind of objective evaluation IAQ (indoor air quality): the single-factor in combining assessment index method
IAQ (indoor air quality) is evaluated by evaluation number method and comprehensive evaluation index method, reaches to evaluate comprehensively, and process is simple, and result is straight
The evaluation purpose seen.
Summary of the invention
The present invention is comfortable from indoor environment, set up assessment indicator system in terms of health and safety three and evaluate special meter
Calculation method, carries out overall merit on the basis of each single-factor is monitored, is calculated.
The present invention uses the technical scheme basic conception of overall merit to be:
First, setting up assessment indicator system, the evaluation index of described appraisement system includes comfortable class index, healthy class index
With security classes index；
Secondly, determine that the evaluation of each evaluation index is special, be monitored evaluating special project, set up computational methods and according to commenting
Valency special project monitor value carries out being calculated all kinds of evaluation index score, and described evaluation special project is the material of required monitoring in air；
Finally, three class evaluation index scores are carried out COMPREHENSIVE CALCULATING and obtain comprehensive Evaluation on Indoor Air Quality total score, and root
The integrated status of IAQ (indoor air quality) is drawn according to comprehensive Evaluation on Indoor Air Quality total score.
Comprehensive Evaluation on Indoor Air Quality is always divided three classes the evaluation index score i.e. cubic root of security classes score, comfortable class
Score, the product of healthy class score:R: comprehensive Evaluation on Indoor Air Quality total score, S: security classes score, C:
Comfortable class score, H: healthy class score.
Comfortable class index includes that temperature and relative humidity two evaluate special project；Healthy class index includes PM2.5, CO2And first
Three, aldehyde evaluates special project；Security classes index includes CO, CH4Evaluate special project for two.
Comfortable class score computation method is:Wherein CiValue be each to evaluate special score, WiFor
Each weight evaluating special project, n is for evaluating special number, in these computational methods, including:
Step 1: to temperature, relative humidity two is evaluated special project and is monitored, sets identical opinion rating and respectively comment
Interval belonging to respective monitor value corresponding to valency grade, described opinion rating is set to constant, and weight shared by temperature is equal to phase
To weight shared by humidity；
Step 2: calculating each special project score of evaluating, the special monitor value of acquisition evaluation, according to the monitor value institute evaluating special project
Belong to interval, draw the opinion rating of this monitor value, make two to evaluate special opinion rating the most shared same multiplied by weight, draw
Product be and each evaluate special score；
Step 3: calculate comfortable class index PTS, respectively evaluates comfortable class index special score and carries out summation operation calculating
As a result, it is comfortable class PTS.
Thermometer is shown as T, and unit is DEG C, district belonging to interval and monitor value belonging to the monitor value of described temperature, monitor value
Between the corresponding triangular corresponding relation of opinion rating be:
Air themperature monitor value T is more than or equal to setting value t2, less than setting value t3Time, the opinion rating that monitor value is relative is
A；
Air themperature monitor value T is more than or equal to setting value t1, less than setting value t2Time, or more than or equal to setting value t3, be less than
Setting value t4Time, the opinion rating that monitor value is relative is B；
Air themperature monitor value T is less than setting value t1Or more than or equal to setting value t4Time, the opinion rating that monitor value is relative is
C；
Described opinion rating A, B, C are constant, A > B > C, t1<t2<t3<t4。
Relative humidity is expressed as M, interval belonging to interval belonging to the monitor value of described relative humidity, monitor value and monitor value
The corresponding triangular corresponding relation of opinion rating is:
Relative air humidity monitor value M is more than or equal to setting value t2, less than setting value t3 time, the evaluation etc. that monitor value is relative
Level is A；
Relative air humidity monitor value M is more than or equal to setting value t1, less than setting value t2Time, or more than or equal to setting value t3、
Less than setting value t4Time, the opinion rating that monitor value is relative is B；
Relative air humidity monitor value M is less than setting value t1Or more than or equal to setting value t4Time, the evaluation etc. that monitor value is relative
Level is C；
Described opinion rating A, B, C are constant, A > B > C, t1<t2<t3<t4。
Healthy class score computation method is function:Wherein H ' is healthy aggregative indicator,
Z, p, q are constant.
Healthy class score computation method includes:
Step 1: arranging healthy aggregative indicator is H ', described healthy aggregative indicator H ' the evaluation special project of required monitoring is
PM2.5, CO2, three, formaldehyde is evaluated special project, is obtained the special monitor value of each evaluation；
Step 2: make PM2.5, CO2, the monitor value of three, formaldehyde evaluation special project is with each self-corresponding multiplication, and obtains three
Individual special project of evaluating is with the maximum in each self-corresponding multiplication gained absolute value, i.e.
Step 3:PM2.5, CO2, three, formaldehyde evaluate special monitor value with after each self-corresponding multiplication again by institute
Obtain after three product addition and evaluate special number, i.e. divided by healthy class
Step 4: calculate healthy aggregative indicator H ' score, described healthy aggregative indicator H ' must be divided into and having step 2 with step 3
Body result of calculation quadrature:
Wherein m, n, p, q, r are constant；
Step 5: calculate healthy class score H, according to the span of interval H ' each in computational methods and computational methods, generation
Enter computational methods and calculate healthy class score H, i.e.
Security classes score computation method includes:
Calculate CO score and CH4Score two evaluates special score；
Evaluating special score quadrature to two and calculate security classes score, wherein the unit of CO is ppm, CH4Unit be %.
Arranging security classes score evaluation interval, described evaluation interval is N1～N2, it is positioned at evaluation interval when calculating institute's score value
For N1～N2Time, security classes score takes calculating institute score value；When score is more than N2Time, score value is N2。
Calculate CO and CH4Evaluate special score for two to include:
Step 1: obtain two and evaluate special monitor value Si；
Step 2: calculate CO and evaluate special score, sets up in computational methods and computational methods CO monitor value in each interval
Span, is substituting in the method calculate CO according to interval belonging to CO monitor value and evaluates special score, described calculating side
Method is represented by following formula:
Wherein p, q, m, z, for constant；
When CO monitor value is less than z, CO must be divided into:
When CO monitor value is more than or equal to z, CO must be divided into constant m；
Step 3: calculate CH4Evaluate special score, set up each interval CH in computational methods and computational methods4Monitor value
Span, according to CH4CH is calculated during interval is substituting to the method belonging to monitor value4Evaluate special score,
Described computational methods are represented by following formula:Wherein p, q, m, z,
For constant；
When CH4 monitor value is less than z, CH4 must be divided into:
When CH4 monitor value is more than or equal to z, CH4 must be divided into constant m；
Step 4: calculate security classes PTS, two security classes evaluation special project scores are carried out quadrature computing and calculates safety
Class score, S=Si×SiI.e.Calculating code insurance and stay 2 decimals, wherein n is that security classes evaluates special number.
Calculate comprehensive Evaluation on Indoor Air Quality total score, i.e. calculate the cubic root of security classes score, comfortable class score, health
The product of class score,Evaluation interval is set, by evaluation interval for comprehensive Evaluation on Indoor Air Quality total score R
Being divided into some subintervals, different subintervals correspondence different evaluation grade, according to formulaThree class indexs are entered
The grade that after row COMPREHENSIVE CALCULATING, the affiliated subinterval of acquired results is corresponding, determines the comprehensive evaluation result of air quality.
After using technique scheme, the present invention compared with prior art has the advantages that
The technical scheme of the inventive method can not only reflect the multiple pollutant comprehensive effect to room air, also overcomes
The drawback such as only single-factor is evaluated or evaluation procedure is loaded down with trivial details.The present invention is according to " fewer but better parameter index, reflection is many
And full information characteristics " principle, set up there is comprehensive and representative assessment indicator system；Establishing reasonably and have can
The evaluation index algorithm of operability；Divide different opinion ratings for result of calculation and evaluate that indoor environment is livable and safe water
Flat, make the evaluation methodology more operability of IAQ (indoor air quality), evaluation result is more directly perceived and should be readily appreciated that.
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing, as the part of the present invention, is used for providing further understanding of the invention, and the present invention's is schematic
Embodiment and explanation thereof are used for explaining the present invention, but do not constitute inappropriate limitation of the present invention.Obviously, the accompanying drawing in describing below
It is only embodiment, to those skilled in the art, on the premise of not paying creative work, it is also possible to according to
These accompanying drawings obtain other accompanying drawings.In the accompanying drawings:
Fig. 1 is that the present invention carries out COMPREHENSIVE CALCULATING schematic flow sheet；
It should be noted that these accompanying drawings and word describe and are not intended as limiting by any way the design model of the present invention
Enclose, but be that those skilled in the art illustrate idea of the invention by reference specific embodiment.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in embodiment is clearly and completely described, following example are used for illustrating the present invention, but
It is not limited to the scope of the present invention.
In the present invention it should be understood that
According to the character feature of monitored material, comfortable class score computation method obtains temperature, relative humidity evaluation specially
Determining opinion rating by the corresponding relation of foundation with opinion rating after the monitor value of item, this opinion rating is different from room air
The opinion rating of quality overall evaluation total score R, opinion rating is set to constant, in concrete set-up mode embodiment as described below,
Opinion rating is substituted into formula calculate, finally draw comfortable class score；Healthy class score and the calculating of security classes score
Method directly uses the special monitor value of each evaluation to substitute into its corresponding computational methods and calculates, and finally draws healthy class score
And security classes score.
1. set up assessment indicator system
The many index select affect IAQ (indoor air quality), having a major impact human body sensory and health is as evaluation room
The foundation of interior air quality.Set up comfortable class index, healthy class index and security classes index totally three class evaluation index.Wherein, relax
Suitable class index includes that temperature and relative humidity two evaluate special project.Healthy class index includes PM2.5, CO2With the evaluation of three, formaldehyde
Special.Security classes index includes that CO, CH4 two evaluates special project.
2. pair IAQ (indoor air quality) carries out special evaluation
Comfortable class obtains demultiplexing C and represents, healthy class obtains demultiplexing H and represents, security classes obtains demultiplexing S and represents, IAQ (indoor air quality) is combined
Close evaluation total score R to represent.
2.1 calculate comfortable class index score
The computational methods of comfortable class score C are:Wherein, C is comfortable class score, and scope is 0～1 point；
CiEvaluating special score for each, each special project scoring method of evaluating is shown in Table 1；WiEvaluating special weight for each, temperature is with relative
The weight of humidity is respectively 0.5 and 0.5；N is the evaluation special project number of comfortable class index.
Special score evaluated by table 1
2.2 calculate healthy class index score
The computational methods of healthy class score H are:
Wherein, H is healthy class index score, and scope is 40～100 points；H ' is strong
Health aggregative indicator,
2.3 calculate security classes index score
Security classes score S computational methods are:
Wherein, S is security classes index score, and score retains 2 decimals, if score ＞ 1, then takes 1；Scope is 0～1
Point；S (CO) is CO score；S (CH4) is CH4 score；SiEvaluating special monitor value for each, the unit of CO is ppm, CH4List
Position is %.
3. choose ten groups of test data, each evaluate special computational methods according to above-mentioned, each evaluation index computational methods and
Comprehensive Evaluation on Indoor Air Quality total scoreThree class indexs are carried out COMPREHENSIVE CALCULATING result as follows:
| Sequence number | Temperature | Relative humidity | PM2.5 | CO2 | Formaldehyde | CO | CH4 | Integrated status |
| Unit | (℃) | (%) | (μg/m3) | (ppm) | (ppm) | (ppm) | (%) | -- |
| 1 | 20 | 50 | 50 | 700 | 0.03 | 0.4 | 0.2 | Excellent (90 points) |
| 2 | 25 | 60 | 50 | 800 | 0.06 | 0.5 | 0.1 | Excellent (89 points) |
| 3 | 30 | 60 | 50 | 800 | 0.06 | 0.5 | 0.1 | Good (80 points) |
| 4 | 25 | 60 | 50 | 800 | 0.06 | 3 | 1 | Good (78 points) |
| 5 | 25 | 60 | 50 | 1500 | 0.06 | 0.5 | 0.1 | Good (77 points) |
| 6 | 25 | 60 | 50 | 800 | 0.15 | 0.5 | 0.1 | Good (75 points) |
| 7 | 28 | 10 | 35 | 900 | 0.02 | 2 | 0.1 | Good (63 points) |
| 8 | 5 | 70 | 65 | 650 | 0.05 | 0.3 | 0.2 | Good (60 points) |
| 9 | 20 | 55 | 200 | 600 | 0.1 | 0.5 | 2 | Difference (31 points) |
| 10 | 25 | 65 | 50 | 850 | 0.06 | 60 | 0.1 | Difference (0 point) |
4., according to comprehensive score, draw comprehensive evaluation result
Comprehensive score R of IAQ (indoor air quality) is the cubic root of security classes score, comfortable class score, the taking advantage of of healthy class score
Long-pending, i.e. comprehensive Evaluation on Indoor Air Quality total scoreEvaluation interval is 0 point～100 points.Evaluation interval is divided
For some subintervals and different subintervals correspondence different evaluation grade it is:
When comprehensive Evaluation on Indoor Air Quality total score R belongs to [85,100] interval, opinion rating is excellent；
When comprehensive Evaluation on Indoor Air Quality total score R belong to [60,85) time, opinion rating is good；
When comprehensive Evaluation on Indoor Air Quality total score R belong to [0,60) time, opinion rating for poor, ten groups of test data comprehensive
Conjunction situation is as shown above.
The above is only presently preferred embodiments of the present invention, and the present invention not makees any pro forma restriction, although this
Inventing disclosed above with preferred embodiment, but be not limited to the present invention, any technical staff being familiar with this patent exists
In the range of technical solution of the present invention, when the technology contents of available above-mentioned prompting makes a little change or is modified to equivalent
Change Equivalent embodiments, as long as being the content without departing from technical solution of the present invention, according to the present invention technical spirit to more than
Any simple modification, equivalent variations and the modification that embodiment is made, all still falls within the range of the present invention program.
Claims (10)
1. the computational methods of the metrics evaluation data characterizing indoor air environment quality, it is characterised in that:
First, setting up assessment indicator system, the evaluation index of described appraisement system includes comfortable class index, healthy class index and peace
Universal class index；
Secondly, determine that the evaluation of each evaluation index is special, be monitored evaluating special project, set up computational methods and according to evaluating specially
Item monitor value carries out being calculated all kinds of evaluation index score, and described evaluation special project is the material of required monitoring in air；
Finally, three class evaluation index scores are carried out COMPREHENSIVE CALCULATING and obtains comprehensive Evaluation on Indoor Air Quality total score, and according to room
Interior air quality overall merit total score draws the integrated status of IAQ (indoor air quality)；
Always the be divided three classes evaluation index score i.e. cubic root of security classes score, comfortable class of comprehensive Evaluation on Indoor Air Quality obtains
Point, the product of healthy class score:R: comprehensive Evaluation on Indoor Air Quality total score, S: security classes score, C: relax
Suitable class score, H: healthy class score.
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality, it is special
Levy and be: set evaluation interval for comprehensive Evaluation on Indoor Air Quality total score R, evaluation interval is divided into some subintervals, institute
State different subintervals correspondence different evaluation grade, according to calculating subinterval belonging to gained comprehensive Evaluation on Indoor Air Quality total score R
Corresponding grade, determines the integrated status of IAQ (indoor air quality).
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 1 or claim 2, its
It is characterised by: comfortable class index includes that temperature and relative humidity two evaluate special project；Healthy class index includes PM2.5, CO2And first
Three, aldehyde evaluates special project；Security classes index includes CO, CH4Evaluate special project for two.
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 1, its
It is characterised by: comfortable class score computation method is:Wherein CiValue be each to evaluate special score, WiFor
Evaluating special weight, n is the evaluation special project number of comfortable class index.
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 4, also
Including: set monitoring and evaluation interval for temperature, relative humidity monitor value, be some subintervals by monitoring and evaluation interval division, institute
State different subintervals correspondence different evaluation grade.
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 5, its
It is characterised by: interval interval corresponding evaluation etc. belonging to monitor value belonging to described temperature, the monitor value of relative humidity, monitor value
Between level three, corresponding relation is:
Monitor value is more than or equal to setting value t2, less than setting value t3Time, the opinion rating that monitor value is corresponding is A；
Monitor value is more than or equal to setting value t1, less than setting value t2Time, or more than or equal to setting value t3, less than setting value t4Time, prison
The opinion rating that measured value is corresponding is B；
Monitor value is less than setting value t1Or more than or equal to setting value t4Time, the opinion rating that monitor value is corresponding is C；
Described opinion rating A, B, C are constant, A > B > C, t1<t2<t3<t4。
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 1, its
It is characterised by: healthy class score computation method is function:
Wherein, H ' is healthy aggregative indicator, and z, p, q are constant；
Described healthy aggregative indicator H ' the evaluation special project of required monitoring is PM2.5, CO2, formaldehyde.
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 7, its
It is characterised by: described H ' computational methods are:
Wherein m, n, p, q, r are constant.
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 1, its
It is characterised by: security classes score computation method includes:
Calculate CO score and CH4Score two evaluates special score；
Two are evaluated special score quadrature and calculates security classes score；
Described calculating security classes score, calculates code insurance and stays 2 decimals；
Arranging security classes score evaluation interval, described evaluation interval is N1～N2, it is N when calculate institute's score value being positioned at evaluation interval1
～N2Time, security classes score takes calculating institute score value；When score is more than N2Time, score value is N2。
The computational methods of a kind of metrics evaluation data characterizing indoor air environment quality the most according to claim 9, its
It is characterised by: CO and CH4Evaluating special score computation method for two is:
Calculate CO and evaluate special score: set up computational methods, the span of CO monitor value in each interval is set in computational methods,
Being substituting in computational methods calculate CO according to interval belonging to CO monitor value and evaluate special score, described computational methods are by following
Formula represents:
Wherein p, q, m, z, for constant；
Calculate CH4Evaluate special score: set up computational methods, the span of each interval CH4 monitor value in computational methods is set,
Be substituting in computational methods to calculate CH4 according to interval belonging to CH4 monitor value and evaluate special score, described computational methods by under
State formula to represent:
Wherein p, q, m, z, for constant；
Calculate security classes PTS: two security classes evaluation special project scores are carried out quadrature computing calculate security classes index must
Point, i.e.Wherein n is that security classes evaluates special number, as security classes score S ∈ [N1, N2] time, security classes score
For S；Security classes score S ＞ N2Time, security classes must be divided into N2。
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106596859A (en) * | 2016-12-13 | 2017-04-26 | 循绿生态科技（上海）有限公司 | Comprehensive evaluation method for indoor environmental quality |
| CN106645573A (en) * | 2016-12-13 | 2017-05-10 | 上海市建工设计研究院有限公司 | Expression method of index for comprehensively evaluating indoor air quality |
| CN106770989A (en) * | 2017-03-15 | 2017-05-31 | 深圳智达机械技术有限公司 | A kind of effective IAQ assessment system |
| CN107023947A (en) * | 2017-04-01 | 2017-08-08 | 青岛海尔空调器有限总公司 | A kind of method and Air Quality Evaluation system for evaluating IAQ |
| CN109242329A (en) * | 2018-09-21 | 2019-01-18 | 苏州数言信息技术有限公司 | Characterize the overall target calculation method of indoor environment comprehensive quality |
| CN109948871A (en) * | 2017-12-20 | 2019-06-28 | 北京清华同衡规划设计研究院有限公司 | A kind of diagnosis of green building operational monitoring key performance evaluation index and feedback method |
| CN110362778A (en) * | 2019-05-17 | 2019-10-22 | 东南大学 | Indoor air environment method for quantitatively evaluating |
| CN111563645A (en) * | 2020-03-23 | 2020-08-21 | 成都信息工程大学 | Health comfort information detection method and system, storage medium and intelligent terminal |
| CN112561244A (en) * | 2020-11-26 | 2021-03-26 | 清华大学 | Building environment evaluation method and system combining indoor personnel information |
| CN113624918A (en) * | 2021-07-14 | 2021-11-09 | 南京东旭智能科技有限公司 | Indoor air quality evaluation method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7177776B2 (en) * | 2003-05-27 | 2007-02-13 | Siemens Building Technologies, Inc. | System and method for developing and processing building system control solutions |
| CN104198657A (en) * | 2014-09-04 | 2014-12-10 | 西华师范大学 | Comprehensive evaluation method for environmental air quality |
| CN104915348A (en) * | 2014-03-12 | 2015-09-16 | 上海川瑞软件科技有限公司 | Method and system for publishing air quality in real time |
| CN204758578U (en) * | 2015-07-10 | 2015-11-11 | 三峡大学 | City public place air quality secure network on -line monitoring system |
| CN105143778A (en) * | 2013-03-15 | 2015-12-09 | 艾尔库蒂公司 | Methods and apparatus for indoor air contaminant monitoring |
-
2016
- 2016-05-06 CN CN201610299466.5A patent/CN106021858A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7177776B2 (en) * | 2003-05-27 | 2007-02-13 | Siemens Building Technologies, Inc. | System and method for developing and processing building system control solutions |
| CN105143778A (en) * | 2013-03-15 | 2015-12-09 | 艾尔库蒂公司 | Methods and apparatus for indoor air contaminant monitoring |
| CN104915348A (en) * | 2014-03-12 | 2015-09-16 | 上海川瑞软件科技有限公司 | Method and system for publishing air quality in real time |
| CN104198657A (en) * | 2014-09-04 | 2014-12-10 | 西华师范大学 | Comprehensive evaluation method for environmental air quality |
| CN204758578U (en) * | 2015-07-10 | 2015-11-11 | 三峡大学 | City public place air quality secure network on -line monitoring system |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106645573A (en) * | 2016-12-13 | 2017-05-10 | 上海市建工设计研究院有限公司 | Expression method of index for comprehensively evaluating indoor air quality |
| CN106596859A (en) * | 2016-12-13 | 2017-04-26 | 循绿生态科技（上海）有限公司 | Comprehensive evaluation method for indoor environmental quality |
| CN106596859B (en) * | 2016-12-13 | 2018-12-28 | 循绿生态科技（上海）有限公司 | Indoor environmental quality comprehensive estimation method |
| CN106645573B (en) * | 2016-12-13 | 2023-10-03 | 上海市建工设计研究总院有限公司 | Method for expressing index for comprehensively evaluating indoor air quality |
| CN106770989B (en) * | 2017-03-15 | 2019-05-10 | 江西佳信房地产资产评估有限公司 | A kind of effective indoor air quality assessment system |
| CN106770989A (en) * | 2017-03-15 | 2017-05-31 | 深圳智达机械技术有限公司 | A kind of effective IAQ assessment system |
| CN107023947A (en) * | 2017-04-01 | 2017-08-08 | 青岛海尔空调器有限总公司 | A kind of method and Air Quality Evaluation system for evaluating IAQ |
| CN107023947B (en) * | 2017-04-01 | 2019-12-31 | 青岛海尔空调器有限总公司 | Method for evaluating indoor air quality and air quality evaluation system |
| CN109948871A (en) * | 2017-12-20 | 2019-06-28 | 北京清华同衡规划设计研究院有限公司 | A kind of diagnosis of green building operational monitoring key performance evaluation index and feedback method |
| WO2020056811A1 (en) * | 2018-09-21 | 2020-03-26 | 苏州数言信息技术有限公司 | Comprehensive index calculation method for characterizing comprehensive quality of indoor environment |
| CN109242329A (en) * | 2018-09-21 | 2019-01-18 | 苏州数言信息技术有限公司 | Characterize the overall target calculation method of indoor environment comprehensive quality |
| CN110362778A (en) * | 2019-05-17 | 2019-10-22 | 东南大学 | Indoor air environment method for quantitatively evaluating |
| CN111563645A (en) * | 2020-03-23 | 2020-08-21 | 成都信息工程大学 | Health comfort information detection method and system, storage medium and intelligent terminal |
| CN112561244A (en) * | 2020-11-26 | 2021-03-26 | 清华大学 | Building environment evaluation method and system combining indoor personnel information |
| CN113624918A (en) * | 2021-07-14 | 2021-11-09 | 南京东旭智能科技有限公司 | Indoor air quality evaluation method |
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