CN107036948A - Detect the methods, devices and systems of dust concentration - Google Patents
Detect the methods, devices and systems of dust concentration Download PDFInfo
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- CN107036948A CN107036948A CN201710344409.9A CN201710344409A CN107036948A CN 107036948 A CN107036948 A CN 107036948A CN 201710344409 A CN201710344409 A CN 201710344409A CN 107036948 A CN107036948 A CN 107036948A
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- 239000000428 dust Substances 0.000 title claims abstract description 654
- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000012545 processing Methods 0.000 claims abstract description 47
- 238000001514 detection method Methods 0.000 claims description 72
- 239000000843 powder Substances 0.000 claims description 14
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000005096 rolling process Methods 0.000 claims description 6
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- 238000005070 sampling Methods 0.000 description 10
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- 238000005859 coupling reaction Methods 0.000 description 3
- 238000009792 diffusion process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000002356 laser light scattering Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
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- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
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- 239000003344 environmental pollutant Substances 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract
The invention discloses a kind of methods, devices and systems for detecting dust concentration.Wherein, this method includes:The first dust concentration in the region to be detected that laser dust sensor is detected is obtained, and obtains the second dust concentration in the region to be detected that infrared dust sensor is detected;First dust concentration is determined into the fitting coefficient of the second dust concentration as benchmark;Processing is fitted to the second dust concentration according to fitting coefficient, the reference dust concentration in region to be detected is obtained.The present invention is solved can not accurately detect the technical problem of dust concentration using infrared dust sensor in the prior art.
Description
Technical field
The present invention relates to Detection of Air Quality field, in particular to a kind of method for detecting dust concentration, device and
System.
Background technology
With the development and the continuous improvement of people's living standard of national economy, people get over to the quality requirement of surrounding environment
Come higher, the especially requirement to indoor control quality increasingly payes attention to, therefore, Detection of Air Quality and technical field of air purification
Also it is more and more ripe.
Major pollutants in air are dust, and harm of the dust to human body is very big.In now civilian detection air
Dust concentration detection device be mainly based upon the dust sensor (i.e. infrared dust sensor) of infrared diffusion principle with
And the dust sensor (i.e. laser dust sensor) based on laser light scattering principle.Wherein, the use longevity of infrared dust sensor
Life is long, and reliability is high, therefore the comparison popularization applied in household electrical appliance, but the accuracy of detection ratio of infrared dust sensor
It is relatively low;Compared with infrared dust sensor, the accuracy of detection of laser dust sensor is higher, but service life is shorter, and one
As life-span for continuously working between 3 months to 2 years, it is impossible to meet the permanent of home appliance (such as clarifier, air-conditioning) and use.
For it is above-mentioned accurately can not detect dust concentration using infrared-type dust sensor in the prior art the problem of, mesh
It is preceding not yet to propose effective solution.
The content of the invention
The embodiments of the invention provide a kind of methods, devices and systems for detecting dust concentration, at least to solve existing skill
In art the technical problem of dust concentration can not be accurately detected using infrared dust sensor.
One side according to embodiments of the present invention there is provided it is a kind of detect dust concentration method, including:Obtain laser
The first dust concentration in region to be detected that dust sensor is detected, and obtain that infrared dust sensor detects it is to be checked
The second dust concentration surveyed in region;First dust concentration is determined into the fitting coefficient of the second dust concentration as benchmark;Root
Processing is fitted to the second dust concentration according to fitting coefficient, the reference dust concentration in region to be detected is obtained.
Another aspect according to embodiments of the present invention, additionally provides a kind of system for detecting dust concentration, including:Sensing
Device, for detecting the first dust concentration in region to be detected;Processor, is connected with sensor, for being detected according to sensor
To dust concentration handled, fitting coefficient is obtained, and processing is fitted to dust concentration based on fitting coefficient, according to plan
Dust concentration determines the dust concentration in region to be detected after conjunction.
Another aspect according to embodiments of the present invention, additionally provides a kind of equipment, includes the system of detection dust concentration.
Another aspect according to embodiments of the present invention, additionally provides a kind of main control unit, and the main control unit is used to run journey
Sequence, wherein, the method for perform detection dust concentration when program is run.
Another aspect according to embodiments of the present invention, additionally provides a kind of terminal, including:Sensor, it is to be checked for detecting
The first dust concentration surveyed in region, wherein, sensor at least includes one of following:Laser dust sensor and infrared dust are passed
Sensor;Processor, processor operation program, wherein, data perform detection dust when program is run for being exported from sensor
The method of concentration, or storage medium, for storage program, wherein, program is operationally held for the data exported from sensor
The method of row detection dust concentration.
In embodiments of the present invention, passed through using laser dust sensor by the way of infrared dust sensor is combined
The first dust concentration in the region to be detected that laser dust sensor is detected is obtained, and obtains infrared dust sensor detection
The second dust concentration in region to be detected arrived;First dust concentration is determined into the fitting of the second dust concentration as benchmark
Coefficient;Processing is fitted to the second dust concentration according to fitting coefficient, the reference dust concentration in region to be detected is obtained, reaches
The permanent equipment using detection dust concentration has been arrived, the purpose of the service life of conventional electrical appliance is met, it is achieved thereby that accurate inspection
The technique effect of dust concentration is surveyed, and then solves and can not accurately detect dust using infrared dust sensor in the prior art
The technical problem of concentration.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not constitute inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is a kind of detection dust concentration method flow diagram according to embodiments of the present invention;
Fig. 2 is a kind of method flow diagram of optional detection dust concentration according to embodiments of the present invention;
Fig. 3 is a kind of method flow diagram of optional detection dust concentration according to embodiments of the present invention;
Fig. 4 is a kind of schematic diagram of optional rolling average algorithm according to embodiments of the present invention;
Fig. 5 is a kind of method flow diagram of optional detection dust concentration according to embodiments of the present invention;
Fig. 6 is a kind of method flow diagram of optional detection dust concentration according to embodiments of the present invention;
Fig. 7 is a kind of method flow diagram of optional detection dust concentration according to embodiments of the present invention;
Fig. 8 is a kind of method flow diagram of optional detection dust concentration according to embodiments of the present invention;
Fig. 9 is a kind of schematic diagram of preferred dust concentration display mode according to embodiments of the present invention;
Figure 10 is a kind of apparatus structure schematic diagram of detection dust concentration according to embodiments of the present invention;And
Figure 11 is a kind of system structure diagram of detection dust concentration according to embodiments of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, should all belong to the model that the present invention is protected
Enclose.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so using
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating herein or
Order beyond those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Lid is non-exclusive to be included, for example, the process, method, system, product or the equipment that contain series of steps or unit are not necessarily limited to
Those steps or unit clearly listed, but may include not list clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
Embodiment 1
According to embodiments of the present invention there is provided a kind of embodiment of the method for detecting dust concentration, it is necessary to illustrate, attached
The step of flow of figure is illustrated can perform in the computer system of such as one group computer executable instructions, though also,
So logical order is shown in flow charts, but in some cases, can be shown to be performed different from order herein
Or the step of description.
Fig. 1 is detection dust concentration method flow diagram according to embodiments of the present invention, as shown in figure 1, this method is included such as
Lower step:
Step S102, obtains the first dust concentration in the region to be detected that laser dust sensor is detected, and obtain
The second dust concentration in region to be detected that infrared dust sensor is detected.
It should be noted that above-mentioned laser dust sensor is the dust sensor based on laser light scattering principle, it is above-mentioned red
Outer dust sensor is the dust sensor based on infrared diffusion principle, because the service life of laser dust sensor compares
It is short, and the service life of infrared dust sensor is long, therefore, in this application, laser dust sensor is with the scheduled time
Interval is interrupted (i.e. with certain cycle) is opened, and infrared dust sensor is persistently opened.Further, since laser dust sensor
Accuracy of detection is higher, and the accuracy of detection of infrared dust sensor is than relatively low, therefore, the powder detected with laser dust sensor
Dust concentration is fitted processing as benchmark to the dust concentration that infrared dust sensor is detected.
Specifically, in the case where laser dust sensor and infrared dust sensor are in opening simultaneously, swashing
Light dust sensor detects the dust concentration (i.e. the first dust concentration) in region to be detected (for example, indoor), meanwhile, infrared powder
Dust sensor is also detected to the dust concentration in the region to be detected, obtains the second dust concentration, and will detect respectively
The data of dust concentration (i.e. the first dust concentration and the second dust concentration) be sent to processor and handled, wherein, processing
Device, laser dust sensor and infrared dust sensor treat detection zone as the part of the system of detection dust concentration
Dust concentration in domain is detected.
In addition it is also necessary to which explanation, the first powder that laser dust sensor is detected can be obtained by step S102
The data for the second dust concentration that the data of dust concentration and infrared sensor of dust concentration are detected, with dense based on the first dust
The data of degree are corrected to the data of the second dust concentration, so as to obtain dust concentration exactly.
Step S104, the fitting coefficient of the second dust concentration is determined using the first dust concentration as benchmark.
It should be noted that the powder in the region to be detected that can be relatively accurately detected due to laser dust sensor
Dust concentration, therefore, comes to examine infrared dust sensor using the first dust concentration that laser dust sensor is detected as benchmark
The second dust concentration measured is corrected.
Specifically, fitting coefficient can be by calculating the first dust concentration and the infrared powder that laser dust sensor is detected
The ratio of the second dust concentration that dust sensor is detected is obtained.When in opening, due to laser dust sensor
The dust concentration treated at a certain time interval with infrared dust sensor in detection zone detected, therefore, the second powder
The fitting coefficient of dust concentration is also to change in real time, be therefore, it can by asking for the fitting coefficient in predetermined period
Average value is used as final fitting coefficient.
It should be noted that the fitting coefficient of the second dust concentration can be obtained by step S104, as a result of plan
Syzygy number is corrected to the second dust concentration, therefore, the obtained reference dust concentration in region to be detected more it is accurate and
It is stable.
Step S106, is fitted processing to the second dust concentration according to fitting coefficient, obtains the ginseng in region to be detected
Examine dust concentration.
Specifically, after fitting coefficient is obtained, can be fitted by the dust concentration of preset function relation pair second
Processing obtains the reference dust concentration in region to be detected, for example, the method being multiplied by fitting coefficient with the second dust concentration
The second dust concentration that infrared dust sensor is detected is corrected, using the result after correction as in region to be detected
With reference to dust concentration.
It should be noted that the second dust concentration can be adjusted based on the first dust concentration by step S106,
So as to obtain the reference dust concentration in the higher region to be detected of accuracy.
It can be known based on the scheme disclosed in above-described embodiment step S102 to step S106, by obtaining laser dust
The first dust concentration in region to be detected that sensor is detected, and obtain the area to be detected that infrared dust sensor is detected
The second dust concentration in domain;First dust concentration is determined into the fitting coefficient of the second dust concentration as benchmark;According to plan
Syzygy number is fitted processing to the second dust concentration, obtains the reference dust concentration in region to be detected.
It is easily noted that, the dust detected as a result of the higher laser dust sensor of accuracy of detection is dense
Degree is corrected as benchmark to accuracy of detection than the dust concentration that relatively low infrared dust sensor is detected, so as to essence
Really export the dust concentration in region to be detected.Opened further, since laser dust sensor is interrupted with certain cycle, and it is red
Outer dust sensor is persistently opened, and therefore, it can the permanent equipment using detection dust concentration, to meet the use of conventional electrical appliance
Life-span, it is achieved thereby that the accurately technique effect of detection dust concentration, and then solve and passed in the prior art using infrared dust
Sensor can not accurately detect the technical problem of dust concentration.
In a kind of optional embodiment, Fig. 2 shows a kind of method flow diagram of optional detection dust concentration, such as schemes
Shown in 2, the first dust concentration is determined the fitting coefficient of the second dust concentration by step S104 as benchmark, specifically include as
Lower step:
Step S202, calculates the ratio of the first dust concentration and the second dust concentration, obtains the first fitting coefficient;
Step S204, obtains multiple first fitting coefficients in preset time period;
Step S206, calculates the average value of multiple first fitting coefficients;
Step S208, fitting coefficient is determined according to average value.
It should be noted that being sensed using prefixed time interval as the sampling period to laser dust sensor and infrared dust
The dust concentration that device is detected carries out periodic sampling, i.e., obtain a laser dust sensor and infrared every prefixed time interval
The dust concentration that dust sensor is detected.Above-mentioned preset time period includes multiple prefixed time intervals, i.e., in preset time period
The dust concentration that multigroup laser dust sensor is detected with infrared dust sensor is inside got.
Specifically, preset time period is T1, prefixed time interval is T2, also, T2<T1, K is fitting coefficient, and A is laser
The dust concentration that dust sensor is detected, B is the dust concentration that infrared dust sensor is detected.In preset time period T1It is interior
The dust concentration that multigroup laser dust sensor is detected with infrared dust sensor is gathered, and calculates ratio A/ between the two
B, so as to obtain the average of multigroup ratio, using the average as fitting coefficient, i.e.,
Wherein, KAverageFor in preset time period T1The average of interior fitting coefficient,
Wherein, the second dust that the first dust concentration A of laser dust sensor detection, infrared dust sensor are detected is dense
The relation for spending B and fitting coefficient is as shown in table 1.
Table 1
Sampled point | 1 | 2 | 3 | 4 | …… | n | Average |
First dust concentration A | A1 | A2 | A3 | A4 | …… | An | |
Second dust concentration B | B1 | B2 | B3 | B4 | …… | Bn | |
Fitting coefficient | K1 | K2 | K3 | K4 | …… | Kn | KAverage |
Furthermore, it is necessary to explanation, fit approach, can also be according to default functional relation in addition to being fitted according to coefficient
To be fitted, wherein, the first dust concentration is determined into the fitting coefficient of the second dust concentration as benchmark, in addition to it is as follows
Step:
Step S210, obtains the first dust concentration and the second dust concentration;
Step S212, preset function is determined based on the first dust concentration, the second dust concentration;
Step S214, the first fitting coefficient of the second dust concentration is determined based on preset function;
Step S216, calculates the average value of multiple first fitting coefficients in preset time period, to determine fitting coefficient.
Wherein, above-mentioned preset function is functional relation f (A) set in advance, and second is determined according to functional relation f (A)
The fitting coefficient of dust concentration is similar with the method being fitted with coefficient, will not be repeated here.
In a kind of optional embodiment, Fig. 3 shows a kind of method flow diagram of optional detection dust concentration, such as schemes
Shown in 3, step S106 is fitted processing to the second dust concentration according to fitting coefficient, obtains the reference in region to be detected
Dust concentration, specifically includes following steps:
Step S302, judges whether the first fitting coefficient in preset time period meets preparatory condition;
Step S304, in the case where the first fitting coefficient meets preparatory condition, is calculated multiple in preset time period
The average value of first fitting coefficient;
Step S306, is fitted processing to the second dust concentration according to average value, obtains referring to dust concentration.
It should be noted that being established by cable on two kinds of sensors after beginning detection, two kinds of sensors are with cycle T2Sampled, even
Continuous sampling n groups, if the dust concentration that the dust concentration that laser dust sensor is detected is detected with infrared dust sensor
Relatively stable, i.e., fitting coefficient is met:
Wherein, Q is fitting coefficient K fluctuation ratio, and dust concentration data are more stable, then Q values are smaller, generally, Q
Value be less than 10%.
In the case where the fitting coefficient of continuous n sampled point is satisfied by above formula, fitting coefficient average K is asked forAverage, hereafter
With S=BIn real time× K fitting result is used as the reference dust concentration in region to be detected.Wherein, BIn real timeSampling period be T2。
It should be noted that T1Value can be 1min~60min in any one numerical value, T2Can be by reality more
New situation is determined, can be any one numerical value in 1s~10s.
In addition it is also necessary to explanation, fitting coefficient average KAverageUsing rolling average algorithm real-time update, i.e., with nearest
The n T at time point2Sampled data calculate, as shown in Figure 4 a kind of optional rolling average algorithm schematic diagram,
In Fig. 4, T1Contain m T2, and m>n.For example, n=5, thenPass through T again2After moment, i.e.,
In a kind of optional embodiment, Fig. 5 shows a kind of method flow diagram of optional detection dust concentration, such as schemes
Shown in 5, step S102 is being performed, the first dust concentration in the region to be detected that laser dust sensor is detected is obtained, and
Obtain before the second dust concentration in the region to be detected that infrared dust sensor is detected, detect the method for dust concentration also
Comprise the following steps:
In step S502, the first preset time period on laser dust sensor and infrared dust sensor after electricity,
Obtain the first dust concentration that laser dust sensor is detected;
Step S504, it is the dust concentration in region to be detected to determine the first dust concentration.
It should be noted that before two kinds of sensor initial power-ons, two kinds of sensors do not detect region to be detected
Dust concentration, i.e., the dust concentration and infrared dust sensor that can not be now detected according to laser dust sensor is detected
Dust concentration shift fitting coefficient onto, i.e., can not be intended (i.e. in the first preset time period) in a period of time after power-up
Close Coefficient Mean KAverage.In this case, the dust concentration A collected using laser dust sensor is as final to be detected
Reference dust concentration in region.
In a kind of optional embodiment, a kind of optional method flow diagram for detecting dust concentration as shown in Figure 6,
Processing is fitted to the second dust concentration according to fitting coefficient, obtains after the reference dust concentration in region to be detected, examines
Surveying the method for dust concentration also includes:
Step S602, detects whether the dust concentration being fitted to the second dust concentration after processing is less than first threshold;
Step S604, the dust concentration after processing is fitted to the second dust concentration is less than the situation of first threshold
Under, determine that the dust concentration that laser dust sensor is detected is to refer to dust concentration;
Step S606, the dust concentration after processing is fitted to the second dust concentration is more than or equal to first threshold, and
And in the case that the first fitting coefficient in preset time period meets preparatory condition, it is determined that being fitted to the second dust concentration
Dust concentration after processing is to refer to dust concentration.
Specifically, because infrared dust sensor can not accurately detect the dust concentration in region to be detected, therefore,
When the dust concentration in region to be detected than it is relatively low when, the dust concentration that infrared dust sensor is detected is inaccurate, or even deposits
In the situation of distortion.Therefore, when the dust concentration being fitted to the second dust concentration after processing is less than first threshold, that is, join
Examine dust concentration S=BIn real time×KAverage< S1When, the dust concentration detected using laser dust sensor is as in region to be measured
With reference to dust concentration.Wherein, S1For first threshold.
If in addition, with reference to dust concentration S=BIn real time×KAverage> S1, then judgeWhether Q is less than, if less than Q,
Then to be fitted the dust concentration after processing to the second dust concentration as referring to dust concentration.
In an alternative embodiment, a kind of optional method flow diagram for detecting dust concentration as shown in Figure 7,
Processing is being fitted to the second dust concentration according to fitting coefficient, after obtaining the reference dust concentration in region to be detected,
The method of detection dust concentration also includes:
Step S702, samples to the second dust concentration, obtains multiple 3rd dust concentrations;
Step S704, calculates the difference of the 3rd adjacent dust concentration, obtains multiple differences;
Step S706, judges whether multiple differences are all higher than Second Threshold;
Step S708, in the case where multiple differences are all higher than Second Threshold, determines what laser dust sensor was detected
Dust concentration is to refer to dust concentration;
Step S710, in the case where multiple differences are respectively less than and are equal to Second Threshold, judges the in preset time period
Whether one fitting coefficient meets preparatory condition;
Step S712, in the case where meeting preparatory condition, it is determined that being obtained after processing is fitted to the second dust concentration
Dust concentration to refer to dust concentration.
Specifically, when the dust concentration change in region to be detected than it is very fast when, for example, someone's smoking in region to be detected
When, the dust concentration in region to be detected steeply rises, i.e. Bi-Bi-1> S2When, determine dust concentration in region to be detected just
Quick increase, now, is then used as the reference dust concentration in region to be measured using the dust concentration that laser dust sensor is detected.
Wherein, BiTo obtain the 3rd dust concentration, S after being sampled to the dust concentration that the second dust concentration is fitted after handling2For
First threshold.
As the continuous multigroup B collectedi-Bi-1≤S2When, then judgeWhether Q is less than, if less than Q, then with right
Second dust concentration is fitted the dust concentration after processing as referring to dust concentration.
In an alternative embodiment, a kind of optional method flow diagram for detecting dust concentration as shown in Figure 8,
The method of detection dust concentration also includes:
Step S802, judges whether laser dust sensor, or the output of infrared dust sensor exception occur;
Step S804, in the case where exception occurs in laser dust sensor, it is determined that being detected to infrared dust sensor
The second dust concentration be fitted after dust concentration to refer to dust concentration;
Step S806, in the case where exception occurs in infrared dust sensor, determines what laser dust sensor was detected
First dust concentration is to refer to dust concentration.
Specifically, when the processor in the device of detection dust concentration does not receive laser dust sensor or infrared dust
When any one data collected in sensor or the incorrect data format received, processor then judges laser
Dust sensor or infrared dust sensor occur in that exception, now, and processor uses the biography normally run in two kinds of sensors
The data of the collection of sensor, for example, in the case where exception occurs in infrared dust sensor, being detected with laser dust sensor
Dust concentration as referring to dust concentration;In the case where exception occurs in laser dust sensor, then i.e. with S=BIn real time×KAverage
As final display density value, wherein, KAverageLaser dust sensor is kept the fitting result before exception occur.
In a kind of preferred embodiment, a kind of schematic diagram of preferred dust concentration display mode as shown in Figure 9, inspection
The equipment of dust concentration is surveyed in the case of initial power-on, the data of the dust concentration detected with laser dust concentration sensor
It is used as final display result;Detect that the equipment of dust concentration, in the normally fitting stage, is detected with infrared dust sensor
The data of dust concentration are fitted to as final display result;When the dust concentration in region to be detected than relatively low is, with
The data for the dust concentration that laser dust concentration sensor is detected are used as final display result;Powder in region to be detected
When dust concentration quickly changes, the data of the dust concentration detected using laser dust concentration sensor are used as final display knot
Really;When one in laser dust sensor or infrared dust sensor occurs abnormal, sensed with the dust of normal work
The data for the dust concentration that device is detected as final display result, wherein, occur abnormal feelings in infrared dust sensor
Under condition, the dust concentration detected using laser dust sensor is as referring to dust concentration;Occur in laser dust sensor different
In the case of often, then i.e. with S=BIn real time×KAverageAs final display density value, wherein, KAverageLaser dust sensor is kept to occur
Fitting result before exception.
Embodiment 2
According to embodiments of the present invention, a kind of device embodiment for detecting dust concentration is additionally provided.
Figure 10 is the apparatus structure schematic diagram of detection dust concentration according to embodiments of the present invention, as shown in Figure 10, the dress
Put including:Acquisition module 1001, determining module 1003 and fitting module 1005.
Wherein, acquisition module 1001, for obtaining the first powder in the region to be detected that laser dust sensor is detected
Dust concentration, and obtain the second dust concentration in the region to be detected that infrared dust sensor is detected;Determining module 1003, is used
In the first dust concentration is determined into the fitting coefficient of the second dust concentration as benchmark;Fitting module 1005, for according to plan
Syzygy number is fitted processing to the second dust concentration, obtains the reference dust concentration in region to be detected.
Implement it should be noted that above-mentioned acquisition module 1001, determining module 1003 and fitting module 1005 correspond to
Step S102 to step S106 in example 1, three modules are identical with example and application scenarios that the step of correspondence is realized, but not
It is limited to the disclosure of that of above-described embodiment 1.
Optionally, determining module includes:First computing module, the second acquisition module, the second computing module and first are true
Cover half block.Wherein, the first computing module, the ratio for calculating the first dust concentration and the second dust concentration, obtains the first plan
Syzygy number;Second acquisition module, for obtaining multiple first fitting coefficients in preset time period, wherein, preset time period is big
In prefixed time interval;Second computing module, the average value for calculating multiple first fitting coefficients;First determining module, is used
In determining fitting coefficient according to average value.
It should be noted that above-mentioned first computing module, the second acquisition module, the second computing module and first determine mould
The step S202 to step S208 that block corresponds in embodiment 1, example and application that four modules are realized with corresponding step
Scene is identical, but is not limited to the disclosure of that of above-described embodiment 1.
Optionally, determining module includes:First acquisition module, the 9th determining module, the tenth determining module and the 5th meter
Calculate module.Wherein, the first acquisition module, for obtaining the first dust concentration and the second dust concentration;9th determining module, is used for
Preset function is determined based on the first dust concentration, the second dust concentration;Tenth determining module, for determining based on preset function
The fitting coefficient of two dust concentrations;5th computing module, for calculating the flat of multiple first fitting coefficients in preset time period
Average, to determine fitting coefficient.
Implement it should be noted that above-mentioned first acquisition module, the 9th determining module and the tenth determining module correspond to
Step S210 to step S216 in example 1, four modules are identical with example and application scenarios that the step of correspondence is realized, but not
It is limited to the disclosure of that of above-described embodiment 1.
Optionally, fitting module includes:First judge module, the 3rd computing module and the first fitting module.Wherein,
Whether one judge module, the first fitting coefficient for judging in preset time period meets preparatory condition;3rd computing module,
In the case of meeting preparatory condition in the first fitting coefficient, multiple first fitting coefficients of the calculating in preset time period
Average value;First fitting module, for being fitted processing to the second dust concentration according to average value, obtains dense with reference to dust
Degree.
Implement it should be noted that above-mentioned first judge module, the 3rd computing module and the first fitting module correspond to
Step S302 to step S306 in example 1, three modules are identical with example and application scenarios that the step of correspondence is realized, but not
It is limited to the disclosure of that of above-described embodiment 1.
Optionally, the device of detection dust concentration also includes:3rd acquisition module and the second determining module.Wherein,
Three acquisition modules, in the first preset time period after the electricity on laser dust sensor and infrared dust sensor, obtaining
Take the first dust concentration that laser dust sensor is detected;Second determining module, for determining that the first dust concentration is to be checked
The dust concentration surveyed in region.
It should be noted that the step that above-mentioned 3rd acquisition module and the second determining module correspond in embodiment 1
S502 to step S504, two modules are identical with example and application scenarios that the step of correspondence is realized, but are not limited to above-mentioned reality
Apply the disclosure of that of example 1.
Optionally, the device of detection dust concentration also includes:Detection module, the 3rd determining module and the 4th determine mould
Block.Wherein, detection module, for detecting whether the dust concentration being fitted to the second dust concentration after processing is less than the first threshold
Value;3rd determining module, the feelings of first threshold are less than for the dust concentration after processing is fitted to the second dust concentration
Under condition, determine that the dust concentration that laser dust sensor is detected is to refer to dust concentration;4th determining module, for
Two dust concentrations are fitted the dust concentration after processing and are more than or equal to first threshold, and the first plan in preset time period
In the case that syzygy number meets preparatory condition, it is determined that being fitted the dust concentration after processing to the second dust concentration to refer to powder
Dust concentration.
It should be noted that above-mentioned detection module, the 3rd determining module and the 4th determining module correspond in embodiment 1
Step S602 to step S606, three modules are identical with the example realized of step and application scenarios of correspondence, but are not limited to
The disclosure of that of above-described embodiment 1.
Optionally, the device of detection dust concentration also includes:Sampling module, the 4th computing module, the second judge module,
Five determining modules and the 6th determining module.Wherein, sampling module, for being sampled to the second dust concentration, obtains multiple
3rd dust concentration;4th computing module, the difference of threeth dust concentration adjacent for calculating, obtains multiple differences;Second
Judge module, for judging whether multiple differences are all higher than Second Threshold;5th determining module, for being all higher than in multiple differences
In the case of Second Threshold, determine that the dust concentration that laser dust sensor is detected is to refer to dust concentration;4th judges mould
Block, in the case of being respectively less than in multiple differences and being equal to Second Threshold, judges the first fitting coefficient in preset time period
Whether preparatory condition is met;6th determining module, in the case where meeting preparatory condition, it is determined that entering to the second dust concentration
The dust concentration obtained after row process of fitting treatment is to refer to dust concentration.
It should be noted that above-mentioned sampling module, the 4th computing module, the second judge module, the 5th determining module, the 4th
The step S702 to step S712 that judge module and the 6th determining module correspond in embodiment 1, six modules with it is corresponding
The example that step is realized is identical with application scenarios, but is not limited to the disclosure of that of above-described embodiment 1.
Optionally, the device of detection dust concentration also includes:3rd judge module, the 7th determining module and the 8th determine
Module.Wherein, the 3rd judge module, for judging whether laser dust sensor, or the output of infrared dust sensor occur
It is abnormal;7th determining module, in the case of there is exception in laser dust sensor, it is determined that being examined to infrared dust sensor
Dust concentration after the second dust concentration measured is fitted is to refer to dust concentration;8th determining module, for infrared
In the case that exception occurs in dust sensor, determine that the first dust concentration that laser dust sensor is detected is dense with reference to dust
Degree.
Implement it should be noted that above-mentioned 3rd judge module, the 7th determining module and the 8th determining module correspond to
Step S802 to step S806 in example 1, three modules are identical with example and application scenarios that the step of correspondence is realized, but not
It is limited to the disclosure of that of above-described embodiment 1.
Embodiment 3
According to embodiments of the present invention, a kind of system embodiment for detecting dust concentration is additionally provided.
Figure 11 is the system structure diagram of detection dust concentration according to embodiments of the present invention, and as shown in figure 11, this is
System includes:Sensor 1101 and processor 1103.
Wherein, sensor, for detecting the dust concentration in region to be detected;Processor, is connected with sensor, for root
The dust concentration detected according to sensor is handled, and obtains fitting coefficient, and dust concentration is intended based on fitting coefficient
Conjunction is handled, and the reference dust concentration in region to be detected is determined according to dust concentration after fitting.
It should be noted that the sensor at least includes laser dust sensor and infrared dust sensor, wherein, swash
Light dust sensor is the dust sensor based on laser light scattering principle, and infrared dust sensor is to be based on infrared diffusion principle
Dust sensor, because the service life of laser dust sensor is shorter, and the service life ratio of infrared dust sensor
Longer, therefore, in this application, laser dust sensor is opened in preset time and detects that the dust in region to be detected is dense
Degree, i.e. laser dust sensor are interrupted with predetermined time interval (i.e. with certain cycle) to be opened, and infrared dust sensor is held
It is continuous to open, i.e., persistently detect the dust concentration in region to be detected
In a kind of optional embodiment, in laser dust sensor and infrared dust sensor simultaneously in unlatching shape
In the case of state, (i.e. the first dust is dense for the dust concentration in laser dust sensor detection region to be detected (for example, indoor)
Degree), meanwhile, infrared dust sensor is also detected to the dust concentration in the region to be detected, obtains the second dust concentration,
And the data of the dust concentration detected (i.e. the first dust concentration and the second dust concentration) are sent to processor progress respectively
Processing.Processor determines the fitting coefficient of the second dust concentration on the basis of the first dust concentration, is obtaining the second dust concentration
Fitting coefficient after, processor is fitted processing to the second dust concentration according to the fitting coefficient, and exports after fitting
Dust concentration, the dust concentration is the dust concentration in region to be detected.
Herein it should be noted that in the region to be detected that can be relatively accurately detected due to laser dust sensor
Dust concentration, therefore, the first dust concentration detected using laser dust sensor is come to sense infrared dust as benchmark
The second dust concentration that device is detected is corrected.
From the foregoing, it will be observed that detecting the dust concentration in region to be detected by sensor, processor is detected to sensor
Dust concentration is handled, and obtains fitting coefficient, and processing is fitted to dust concentration based on fitting coefficient, after fitting
Dust concentration determine reference dust concentration in region to be detected, wherein, sensor at least includes one of following:Laser dust
Sensor and infrared dust sensor.
It is easily noted that, the dust detected as a result of the higher laser dust sensor of accuracy of detection is dense
Degree is corrected as benchmark to accuracy of detection than the dust concentration that relatively low infrared dust sensor is detected, so as to essence
Really export the dust concentration in region to be detected.Opened further, since laser dust sensor is interrupted with certain cycle, and it is red
Outer dust sensor is persistently opened, and therefore, it can the permanent equipment using detection dust concentration, to meet the use of conventional electrical appliance
Life-span, it is achieved thereby that the accurately technique effect of detection dust concentration, and then solve and passed in the prior art using infrared dust
Sensor can not accurately detect the technical problem of dust concentration.
In a kind of optional embodiment, processor includes:Computing unit.Wherein, computing unit, for by laser dust
The first dust concentration that sensor is detected determines the second dust concentration that infrared dust sensor is detected as benchmark
Fitting coefficient.
It should be noted that laser dust sensor and infrared dust sensor are once treated every prefixed time interval detection
The dust concentration surveyed in region, i.e. computing unit obtain a laser dust sensor and infrared dust every prefixed time interval
The dust concentration that sensor is detected.Above-mentioned preset time period includes multiple prefixed time intervals, i.e., obtained in preset time period
The dust concentration that multigroup laser dust sensor is detected with infrared dust sensor is got.
Specifically, preset time period is T1, prefixed time interval is T2, also, T2<T1, K is fitting coefficient, and A is laser
The dust concentration that dust sensor is detected, B is the dust concentration that infrared dust sensor is detected.Computing unit is when default
Between section T1It is interior to obtain the dust concentration that multigroup laser dust sensor is detected with infrared dust sensor, and calculate between the two
Ratio A/B, so as to obtain the average of multigroup ratio, using the average as fitting coefficient, i.e.,
Wherein, KAverageFor in preset time period T1The average of interior fitting coefficient,
Wherein, the second dust that the first dust concentration A of laser dust sensor detection, infrared dust sensor are detected is dense
The relation for spending B and fitting coefficient is as shown in table 2.
Table 2
Sampled point | 1 | 2 | 3 | 4 | …… | n | Average |
First dust concentration A | A1 | A2 | A3 | A4 | …… | An | |
Second dust concentration B | B1 | B2 | B3 | B4 | …… | Bn | |
Fitting coefficient | K1 | K2 | K3 | K4 | …… | Kn | KAverage |
In an alternative embodiment, computing unit is additionally operable to intend the second dust concentration according to fitting coefficient
Conjunction is handled, and obtains the reference dust concentration in region to be detected.
It should be noted that being established by cable on two kinds of sensors after beginning detection, two kinds of sensors are with cycle T2Sampled, even
Continuous sampling n groups, if the dust concentration that the dust concentration that laser dust sensor is detected is detected with infrared dust sensor
Relatively stable, i.e., fitting coefficient is met:
Wherein, Q is fitting coefficient K fluctuation ratio, and dust concentration data are more stable, then Q values are smaller, generally, Q
Value be less than 10%.
In the case where the fitting coefficient of continuous n sampled point is satisfied by above formula, it is equal that computing unit calculates fitting coefficient
Value KAverage, and with S=BIn real time× K fitting result is used as the reference dust concentration in region to be detected.Wherein, BIn real timeSampling week
Phase is T2。
It should be noted that T1Value can be 1min~60min in any one numerical value, T2Can be by reality more
New situation is determined, can be any one numerical value in 1s~10s.
In addition it is also necessary to explanation, fitting coefficient average KAverageUsing rolling average algorithm real-time update, i.e., with nearest
The n T at time point2Sampled data calculate, as shown in Figure 4 a kind of optional rolling average algorithm schematic diagram,
In Fig. 4, T1Contain m T2, and m>n.For example, n=5, thenPass through T again2After moment, i.e.,
Optionally, computing unit is additionally operable to, in the case where being less than first threshold with reference to dust concentration, determine detection zone
Interior dust concentration.
Specifically, because infrared dust sensor can not accurately detect the dust concentration in region to be detected, therefore,
When the dust concentration in region to be detected than it is relatively low when, the dust concentration that infrared dust sensor is detected is inaccurate, or even deposits
In the situation of distortion.Therefore, dust concentration after computing unit is fitted processing to the second dust concentration is less than the first threshold
During value, i.e., with reference to dust concentration S=BIn real time×KAverage< S1When, the reference dust in region to be detected that computing unit is calculated is dense
Spend the dust concentration to be detected with laser dust sensor.Wherein, S1For first threshold.
If in addition, computing unit calculates obtained reference dust concentration S=BIn real time×LAverage> S1, then judgeIt is
It is no to be less than Q, if less than Q, then to be fitted the dust concentration after processing to the second dust concentration as referring to dust concentration.
Optionally, computing unit is additionally operable in the case where the change of the reference dust concentration is more than Second Threshold, really
Dust concentration in the fixed detection zone.
Specifically, when the dust concentration change in region to be detected than it is very fast when, for example, someone's smoking in region to be detected
When, the dust concentration in region to be detected steeply rises, i.e. Bi-Bi-1> S2When, computing unit determines the powder in region to be detected
Dust concentration just quickly increases, now, and the reference dust concentration that computing unit calculates in obtained region to be detected is with laser powder
The dust concentration that dust sensor is detected.Wherein, BiCarried out to be fitted the dust concentration after processing to the second dust concentration
The 3rd dust concentration, S are obtained after sampling2For first threshold.
The continuous multigroup B collected when computing unit determinationi-Bi-1≤S2When, then judgeWhether Q is less than, if
Less than Q, and to be fitted the dust concentration after processing to the second dust concentration as referring to dust concentration.
Optionally, processor also includes:Display unit and fault detection unit.Wherein, display unit, it is to be checked for showing
The dust concentration surveyed in region;Fault detection unit, for the whether abnormal of detection sensor output.
It should be noted that processor is in the case where receiving fault-signal, control display unit show do not occur it is different
Dust concentration detected by normal sensor.
In a kind of optional embodiment, when the processor in the device that fault detection unit detects dust concentration is received not
To any one data collected in laser dust sensor or infrared dust sensor or the data lattice received
When formula is incorrect, processor then judges that laser dust sensor or infrared dust sensor occur in that exception, and now, processor makes
With the data of the collection of the sensor normally run in two kinds of sensors, for example, occurring abnormal feelings in infrared dust sensor
Under condition, the dust concentration detected using laser dust sensor is as referring to dust concentration;Occur in laser dust sensor different
In the case of often, then i.e. with S=BIn real time×KAverageAs final display density value, wherein, KAverageLaser dust sensor is kept to occur
Fitting result before exception.
Another aspect according to embodiments of the present invention, additionally provides a kind of equipment, includes the system of detection dust concentration.
Another aspect according to embodiments of the present invention, additionally provides a kind of main control unit, and the main control unit is used to run journey
Sequence, wherein, the method for perform detection dust concentration when program is run.
Another aspect according to embodiments of the present invention, additionally provides a kind of terminal, including:Sensor, it is to be checked for detecting
The first dust concentration surveyed in region, wherein, sensor at least includes one of following:Laser dust sensor and infrared dust are passed
Sensor;Processor, processor operation program, wherein, data perform detection dust when program is run for being exported from sensor
The method of concentration, or storage medium, for storage program, wherein, program is operationally held for the data exported from sensor
The following process step of row:The first dust concentration in the region to be detected that laser dust sensor is detected is obtained, and obtains red
The second dust concentration in region to be detected that outer dust sensor is detected;First dust concentration is determined as benchmark
The fitting coefficient of two dust concentrations;Processing is fitted to the second dust concentration according to fitting coefficient, obtained in region to be detected
Reference dust concentration.
The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in some embodiment
The part of detailed description, may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, others can be passed through
Mode is realized.Wherein, device embodiment described above is only schematical, such as division of described unit, Ke Yiwei
A kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be the INDIRECT COUPLING or communication link of unit or module by some interfaces
Connect, can be electrical or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used
When, it can be stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially
The part contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are to cause a computer
Equipment (can for personal computer, server or network equipment etc.) perform each embodiment methods described of the invention whole or
Part steps.And foregoing storage medium includes:USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with store program codes
Medium.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (20)
1. a kind of method for detecting dust concentration, it is characterised in that including:
The first dust concentration in the region to be detected that laser dust sensor is detected is obtained, and obtains infrared dust sensor
The second dust concentration in region to be detected detected;
First dust concentration is determined into the fitting coefficient of second dust concentration as benchmark;
Processing is fitted to second dust concentration according to the fitting coefficient, the reference in the region to be detected is obtained
Dust concentration.
2. according to the method described in claim 1, it is characterised in that first dust concentration is described to determine as benchmark
The fitting coefficient of second dust concentration, including:
The ratio of first dust concentration and second dust concentration is calculated, the first fitting coefficient is obtained;
Obtain multiple first fitting coefficients in preset time period;
Calculate the average value of the multiple first fitting coefficient;
The fitting coefficient is determined according to the average value.
3. according to the method described in claim 1, it is characterised in that first dust concentration is described to determine as benchmark
The fitting coefficient of second dust concentration, including:
Obtain first dust concentration and second dust concentration;
Preset function is determined based on first dust concentration and/or second dust concentration;
The first fitting coefficient of second dust concentration is determined based on the preset function;
The average value of multiple first fitting coefficients in preset time period is calculated, to determine the fitting coefficient.
4. the method according to Claims 2 or 3 any one, it is characterised in that according to the fitting coefficient to described
Two dust concentrations are fitted processing, obtain the reference dust concentration in the region to be detected, including:
Judge whether the first fitting coefficient in the preset time period meets preparatory condition;
In the case where first fitting coefficient meets the preparatory condition, multiple the in the preset time period are calculated
The average value of one fitting coefficient;
Processing is fitted to second dust concentration according to the average value, the reference dust concentration is obtained.
5. method according to claim 4, it is characterised in that carried out based on rolling average algorithm to the average value real-time
Update.
6. according to the method described in claim 1, it is characterised in that obtaining the area to be detected that laser dust sensor is detected
The first dust concentration in domain, and obtain the second dust concentration in the region to be detected that infrared dust sensor is detected
Before, methods described also includes:
In the first preset time period on the laser dust sensor and the infrared dust sensor after electricity, institute is obtained
State the first dust concentration that laser dust sensor is detected;
It is the dust concentration in the region to be detected to determine first dust concentration.
7. method according to claim 4, it is characterised in that according to the fitting coefficient to second dust concentration
Processing is fitted, is obtained after the reference dust concentration in the region to be detected, methods described also includes:
Detect whether the dust concentration being fitted to second dust concentration after processing is less than first threshold;
In the case where the dust concentration being fitted to second dust concentration after processing is less than the first threshold, it is determined that
The dust concentration that the laser dust sensor is detected is the reference dust concentration;
Dust concentration after processing is fitted to second dust concentration is more than or equal to the first threshold, and in institute
State in the case that the first fitting coefficient in preset time period meets the preparatory condition, it is determined that entering to second dust concentration
Dust concentration after row process of fitting treatment is the reference dust concentration.
8. method according to claim 4, it is characterised in that according to the fitting coefficient to second dust concentration
Processing is fitted, is obtained after the reference dust concentration in the region to be detected, methods described also includes:
Second dust concentration is sampled, multiple 3rd dust concentrations are obtained;
The difference of the 3rd adjacent dust concentration is calculated, multiple differences are obtained;
Judge whether multiple differences are all higher than Second Threshold;
In the case where multiple differences are all higher than the Second Threshold, the powder that the laser dust sensor is detected is determined
Dust concentration is the reference dust concentration.
9. method according to claim 8, it is characterised in that
In the case where multiple differences are respectively less than and are equal to the Second Threshold, first in the preset time period is judged
Whether fitting coefficient meets the preparatory condition;
In the case where meeting the preparatory condition, it is determined that being fitted the dust obtained after processing to second dust concentration
Concentration is the reference dust concentration.
10. according to the method described in claim 1, it is characterised in that methods described also includes:
Judge whether the laser dust sensor, or the output of the infrared dust sensor exception occur;
In the case where exception occurs in the laser dust sensor, it is determined that the infrared dust sensor is detected second
Dust concentration after dust concentration is fitted is the reference dust concentration;
In the case where exception occurs in the infrared dust sensor, the first powder that the laser dust sensor is detected is determined
Dust concentration is the reference dust concentration.
11. according to the method described in claim 1, it is characterised in that the laser dust sensor is opened with predetermined time interval
Open, the infrared dust sensor is persistently opened.
12. a kind of system for detecting dust concentration, it is characterised in that including:
Sensor, for detecting the dust concentration in region to be detected, wherein, the sensor at least includes one of following:Swash
Light dust sensor and infrared dust sensor;
Processor, is connected with the sensor, for handling the dust concentration that the sensor is detected, is fitted
Coefficient, and processing is fitted to the dust concentration based on the fitting coefficient, institute is determined according to the dust concentration after fitting
State the reference dust concentration in region to be detected.
13. system according to claim 12, it is characterised in that
The laser dust sensor, for the dust concentration in the region to be detected to be opened and detected in preset time;
The infrared dust sensor, for persistently detecting the dust concentration in the region to be detected.
14. system according to claim 13, it is characterised in that the processor includes:
Computing unit, the first dust concentration for the laser dust sensor to be detected is described red to determine as benchmark
The fitting coefficient for the second dust concentration that outer dust sensor is detected.
15. system according to claim 14, it is characterised in that the computing unit is additionally operable to according to the fitting coefficient
Processing is fitted to second dust concentration, the reference dust concentration in the region to be detected is obtained, and described
With reference to dust concentration less than the dust concentration in the case of first threshold, determined in the detection zone and in the reference powder
In the case that the change of dust concentration is more than Second Threshold, the dust concentration in the detection zone is determined.
16. system according to claim 12, it is characterised in that the processor also includes:
Display unit, for showing the dust concentration in the region to be detected;
Fault detection unit, for the whether abnormal of the sensor output to be detected.
17. system according to claim 16, it is characterised in that the processor is additionally operable to receiving fault-signal
In the case of, control the display unit to show the dust concentration not occurred detected by abnormal sensor.
18. a kind of equipment, it is characterised in that what it is including the detection dust concentration described in any one in claim 12 to 17 is
System.
19. a kind of main control unit, it is characterised in that the main control unit is used for operation program, wherein, described program is held when running
The method of detection dust concentration in row claim 1 to 11 described in any one.
20. a kind of terminal, it is characterised in that including:
Sensor, for detecting the first dust concentration in region to be detected, wherein, the sensor at least include it is following it
One:Laser dust sensor and infrared dust sensor;
Processor, the processor operation program, wherein, held when described program is run for the data exported from the sensor
The method of detection dust concentration in row claim 1 to 11 described in any one;
Or storage medium, for storing said program, wherein, the number of described program operationally for being exported from the sensor
According to the method for the detection dust concentration described in any one in perform claim requirement 1 to 11.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109387471A (en) * | 2018-06-04 | 2019-02-26 | 广东美的环境电器制造有限公司 | Modification method, correcting device and the update the system of air purifier |
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CN109839340A (en) * | 2017-11-27 | 2019-06-04 | 原相科技股份有限公司 | Portable electronic devices and its particle concentration method for detecting |
WO2019128346A1 (en) * | 2017-12-25 | 2019-07-04 | 青岛海尔空调器有限总公司 | Dust monitoring device for use with air conditioner, air conditioner and control method therefor |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1418358A (en) * | 2000-02-10 | 2003-05-14 | 马丁·T·科尔 | Improvements relating to smoke detectors particularly ducted smoke detectors |
CN104655539A (en) * | 2015-03-20 | 2015-05-27 | 安费诺(常州)连接系统有限公司 | Dual-channel dust concentration sensor and dust concentration detection method thereof |
CN104914026A (en) * | 2015-06-12 | 2015-09-16 | 艾欧史密斯(中国)热水器有限公司 | Dust concentration detection method and dust concentration sensor |
CN205091226U (en) * | 2015-06-12 | 2016-03-16 | 艾欧史密斯(中国)热水器有限公司 | Dust concentration sensor and air purification device |
CN205483924U (en) * | 2015-09-25 | 2016-08-17 | 原点生活(北京)科技有限公司 | System for be arranged in detecting air fine particles concentration |
CN105891080A (en) * | 2016-06-27 | 2016-08-24 | 广东美的制冷设备有限公司 | Calibration method for dust sensor and calibration device |
CN206906196U (en) * | 2017-05-16 | 2018-01-19 | 珠海格力电器股份有限公司 | Detect the system and equipment of dust concentration |
-
2017
- 2017-05-16 CN CN201710344409.9A patent/CN107036948A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1418358A (en) * | 2000-02-10 | 2003-05-14 | 马丁·T·科尔 | Improvements relating to smoke detectors particularly ducted smoke detectors |
CN104655539A (en) * | 2015-03-20 | 2015-05-27 | 安费诺(常州)连接系统有限公司 | Dual-channel dust concentration sensor and dust concentration detection method thereof |
CN104914026A (en) * | 2015-06-12 | 2015-09-16 | 艾欧史密斯(中国)热水器有限公司 | Dust concentration detection method and dust concentration sensor |
CN205091226U (en) * | 2015-06-12 | 2016-03-16 | 艾欧史密斯(中国)热水器有限公司 | Dust concentration sensor and air purification device |
CN205483924U (en) * | 2015-09-25 | 2016-08-17 | 原点生活(北京)科技有限公司 | System for be arranged in detecting air fine particles concentration |
CN105891080A (en) * | 2016-06-27 | 2016-08-24 | 广东美的制冷设备有限公司 | Calibration method for dust sensor and calibration device |
CN206906196U (en) * | 2017-05-16 | 2018-01-19 | 珠海格力电器股份有限公司 | Detect the system and equipment of dust concentration |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109839340A (en) * | 2017-11-27 | 2019-06-04 | 原相科技股份有限公司 | Portable electronic devices and its particle concentration method for detecting |
WO2019128346A1 (en) * | 2017-12-25 | 2019-07-04 | 青岛海尔空调器有限总公司 | Dust monitoring device for use with air conditioner, air conditioner and control method therefor |
CN109387471A (en) * | 2018-06-04 | 2019-02-26 | 广东美的环境电器制造有限公司 | Modification method, correcting device and the update the system of air purifier |
CN109682731A (en) * | 2019-01-24 | 2019-04-26 | 珠海横琴博信能源建设有限公司 | A kind of thermal power plant dust concentration on-line monitoring system and method |
CN109991136A (en) * | 2019-03-05 | 2019-07-09 | 宁波澄朗环境技术有限公司 | Fugitive dust sensor calibrating method, apparatus and system |
CN110044785A (en) * | 2019-04-16 | 2019-07-23 | 北京汽车股份有限公司 | Detect the method, apparatus and vehicle of particulate matter |
CN110044785B (en) * | 2019-04-16 | 2022-04-29 | 北京汽车股份有限公司 | Method and device for detecting particulate matters and vehicle |
CN110208161A (en) * | 2019-07-15 | 2019-09-06 | 珠海格力电器股份有限公司 | A kind of dust sensor method of inspection and device |
CN110595969A (en) * | 2019-09-23 | 2019-12-20 | 宁波奥克斯电气股份有限公司 | Control method and device of PM2.5 sensor, electric appliance and storage medium |
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