CN105203439B - Purification of air control method and device - Google Patents
Purification of air control method and device Download PDFInfo
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- CN105203439B CN105203439B CN201510579638.XA CN201510579638A CN105203439B CN 105203439 B CN105203439 B CN 105203439B CN 201510579638 A CN201510579638 A CN 201510579638A CN 105203439 B CN105203439 B CN 105203439B
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Abstract
Disclose a kind of purification of air control method and device.The purification of air control method includes：Obtain the sampled data of particulate matter sensors；The time series of measured value is formed according to sampled data；Elapse average value during calculating the sequence of predetermined item number item by item according to time series, the characterization value as measured value；And started according to the characterization value of measured value/stop air cleaning unit.The purification of air control method and device eliminate the big ups and downs of measurement data, reflect actual content and its change of particulate matter exactly.
Description
Technical field
The present invention relates to purification of air control field, more particularly, to purification of air control method and device.
Background technology
As people are increasingly paid close attention to quality of life, the detection and forecast of air quality also enter the daily life of people
It is living.One importance of air quality is the size and its content of particulate matter.Fine particle in air is less than including diameter
Particulate matter equal to 2.5 microns, referred to as PM2.5.Because PM2.5 can be suspended in air for a long time, and surface area is big, living
Property is strong, is easily carried poisonous and harmful substance, therefore health and air quality are had a great influence.
The size and its content of the particulate matter in air are measured using particulate matter sensors.Particulate matter sensors for example based on
Optical principle, scattering during air is passed through to obtain the information of particulate matter by detection light.However, the measurement of particulate matter sensors
Violent fluctuation often occurs for data.The big ups and downs of measurement data are probably derived from many aspects, such as sensor itself
The thermal noise of light-sensitive element, make for the micro-control unit MCU of processing detection signal filtering performance defect, and/or sensor
Dust concentration complex distribution with environment etc..
Due to the aerial distribution character of particulate matter, the diffusion of particulate matter is about gentle process.Particulate matter senses
The big ups and downs of the measurement data of device cause to be difficult to obtain reliable measured value.For example, the numerical value at the crest of measurement data
May and actual particle concentration there is larger deviation.
Therefore, the accuracy of further raising particulate matter sensors measurement result it is expected in the application.
The content of the invention
In view of this, the present invention provides a kind of filtering method for the unusual fluctuations that can eliminate measurement data, for particle
Thing sensor is to improve the accuracy of measurement result.
According to the first aspect of the invention, there is provided a kind of purification of air control method, it is characterised in that this method includes：
Obtain the sampled data of particulate matter sensors；The time series of measured value is formed according to the sampled data；According to time series
Average value during calculating the sequence of predetermined item number is elapsed item by item, the characterization value as measured value；And the characterization value according to measured value
Startup/stopping air cleaning unit.
Preferably, the step of sampled data for obtaining particulate matter sensors, includes：With very first time interval sampling particulate matter
The measurement data of sensor, to obtain multiple sampled datas；And the step of forming the time series of measured value, includes：With second
Time interval calculates the first average value of multiple sampled datas, and the second time interval is more than very first time interval, wherein, first is flat
Time series of the sequence of average as measured value.
Preferably, include when calculating the sequence of predetermined item number the step of average value：By currentitem with it is multinomial before together with group
Into predetermined item number sequence when average value, the characterization value of the measured value in the period is corresponded to as currentitem；Or by currentitem
With it is multinomial afterwards together with form predetermined item number sequence when average value, the table of the measured value in the period is corresponded to as currentitem
Value indicative；Or by currentitem with it is front and rear each it is multinomial together with form predetermined item number sequence when average value, as currentitem pair
The characterization value of measured value that should be in the period.
Preferably, after when calculating the sequence of predetermined item number the step of average value, in addition to：Using the survey of standard detection instrument
Result is measured, the characterization value of measured value is adjusted into data gain, so as to obtain the calibration value of measurement data.
Preferably, the particulate matter sensors include optical transmitting set and photoelectric detector, and air is detected according to optical principle
In particle content.
Preferably, the particulate matter of the particulate matter sensors detection is the PM2.5 in air.
According to the second aspect of the invention, there is provided a kind of device for purification of air, it is characterised in that the device bag
Include：Data capture unit, for obtaining the sampled data of particulate matter sensors；First computing unit, for according to the sampling
Data form the time series of measured value；Second computing unit, for being elapsed item by item according to time series to calculate predetermined item number
Sequence when average value, the characterization value as measured value；Control unit：Started according to the characterization value of measured value/stop purification of air
Device.
Preferably, the data capture unit is additionally operable to：With the measurement number of very first time interval sampling particulate matter sensors
According to obtain multiple sampled datas；First computing unit is additionally operable to：Multiple sampled datas are calculated with the second time interval
First average value, the second time interval are more than very first time interval, wherein, the time of the sequence of the first average value as measured value
Sequence.
Preferably, second computing unit is used for：By currentitem with it is multinomial before together with the predetermined item number that forms
Average value during sequence, the characterization value of the measured value in the period is corresponded to as currentitem；Or by currentitem and multinomial afterwards one
Average value when playing the sequence of the predetermined item number of composition, the characterization value of the measured value in the period is corresponded to as currentitem；Or ought
Preceding paragraph with it is front and rear each it is multinomial together with form predetermined item number sequence when average value, the survey in the period is corresponded to as currentitem
The characterization value of value.
Preferably, described device also includes alignment unit, is used for：Using the measurement result of standard detection instrument, by measured value
Characterization value adjustment data gain, so as to obtain the calibration value of measurement data.
Preferably, the particulate matter sensors include optical transmitting set and photoelectric detector, and air is detected according to optical principle
In particle content.
Preferably, the particulate matter of the particulate matter sensors detection is the PM2.5 in air.
According to an embodiment of the invention, the purification of air control method elapses item by item according to the time series of sampled data
Average value during calculating the sequence of predetermined item number, the characterization value as measured value.Even if not using conditioning sensor circuit, pass through filter
Ripple processing can solves the problems, such as the measurement result unusual fluctuations of particle content, so as to improve the accurate of measurement result
Property, and reflect the actual change of particle content exactly.
In a preferred embodiment, characterization value is multiplied by multiple, to adjust data gain, so as to obtain the school of measurement data
Quasi- value.The preferred embodiment can reflect the actual content of particulate matter exactly.
In the air cleaning system including particulate matter sensors and air purification control device, the purification of air controlling party
Method can avoid the frequency of air cleaning unit from starting and stop, and extend the service life of electrically and mechanically part.
Brief description of the drawings
By the description to the embodiment of the present invention referring to the drawings, above-mentioned and other purpose of the invention, feature and
Advantage will be apparent from.
Fig. 1 shows the schematic diagram of particulate matter sensors；
Fig. 2 shows the schematic block diagram of the air cleaning system using particulate matter sensors；
Fig. 3 shows the measurement data time history plot of particulate matter sensors；
Fig. 4 shows the schematic block diagram of air purification control device according to an embodiment of the invention；
Fig. 5 shows the flow chart of purification of air control method according to an embodiment of the invention；
Fig. 6 shows what the measurement data that purification of air control method according to an embodiment of the invention obtains changed over time
Curve map.
Embodiment
Below to the present invention detailed description in, it is detailed to describe some specific detail sections.To art technology
The description of part can also understand the present invention completely without these details for personnel.In order to avoid obscuring the essence of the present invention,
The not narration in detail of known method, process, flow, element and circuit.It should be understood by one skilled in the art that herein
The accompanying drawing of offer is provided to the purpose of explanation, and accompanying drawing is not necessarily drawn to scale.Unless the context clearly requires otherwise,
Otherwise entire disclosure word similar with the " comprising " in claims, "comprising" etc. should be construed to the implication that includes without
It is exclusive or exhaustive implication；That is, it is the implication of " including but is not limited to ".
In the description of the invention, it is to be understood that term " first ", " second " etc. are only used for describing purpose, without
It is understood that to indicate or implying relative importance.In addition, in the description of the invention, unless otherwise indicated, the implication of " multiple "
It is two or more.
Fig. 1 shows the schematic diagram of particulate matter sensors.Particulate matter sensors 100 include what is surrounded by outer wall 101
Sampler chamber.Heater 102, optical transmitting set 104 and photoelectric detector 106 are set in sampler chamber.Sampler chamber has air intake
And air outlet slit.Heater 102 is, for example, resistance wire.When heater 102 works, heating causes air-flow to rise, extraneous air
Into sampler chamber.
Optical transmitting set 104 is, for example, LED, and can attach light shield 105, to realize the orientation of light beam, and is reduced empty
The pickup of pollutant in gas to optical transmitting set 104.Light caused by optical transmitting set 104 is after the particulate matter scattering in air
Produce scattering light.Photoelectric detector 106 is, for example, photodiode.Photoelectric detector 106 receives scattering light, according to scattering light
Intensity determines the diameter and content of particulate matter.For example, if particulate matter, the detection of photoelectric detector 106 are not included in air
Signal is high level.If the too high levels of particulate matter, all light all may be by particulate adsorbent, photoelectric detector
106 just can't detect scattering light, so as to which detection signal is low level.
Photoelectric detector 106 is arranged in light shield 107, to reduce the influence of the veiling glare in air.Photoelectric detector 106
Front end set lens 108, photoelectric detector 106 photosurface formed converging light, to improve detection sensitivity.
Particulate matter sensors as shown in Figure 1 are widely used in air cleaning system.Fig. 2 shows to sense using particulate matter
The schematic block diagram of the air cleaning system of device.Particulate matter sensors 100 detect the diameter and content of the particulate matter in air, production
Raw measurement data.After the measurement data is handled via air purification control device 200, the measured value of particulate matter is obtained, then
Measured value is provided to display 301 and shown, or is provided to air cleaning unit 302, to control air cleaning unit
302 startup, stopping and/or running parameter, so as to be effectively improved air quality.
Generally, if particle sensor detects that particle content is too high, air cleaning unit 302 can be started, and
The display alarm information on display 301., can be with if particle sensor detects that particle content returns to normal level
Stop air cleaning unit 302, and particle content information is shown on display 301.
However, as described above, violent fluctuation often occurs for the measurement data of particulate matter sensors 100.Fig. 3 shows particle
The measurement data time history plot of thing sensor.Particulate matter sensors 100 are placed on into average grain thing content is
More than ten ug/m3Environment in, 10 minutes inner sensor data have 2 times breakthrough 25ug/m3。
The big ups and downs of the measurement data of particulate matter sensors cause to be difficult to obtain reliable measured value.For example, measuring
Numerical value at the crest of data may and actual particle content there is larger deviation.
If starting/stopping air cleaning unit 302 according to the measurement data of particulate matter sensors 100, may cause
The frequent starting of air cleaning unit 302 and stopping, causing the service life of the electrically and mechanically part of air cleaning unit 302
Shorten and even damage.
Fig. 4 shows the schematic block diagram of air purification control device 200 according to an embodiment of the invention.The purification of air
Device 200 includes：Data capture unit 201, the first computing unit 202, the second computing unit 203 and control unit 204.
Data capture unit 201 is used for the sampled data for obtaining particulate matter sensors.First computing unit 202 is used for basis
The sampled data forms the time series of measured value.Second computing unit 203 by elapsing in terms of item by item according to time series
Average value when calculating the sequence of predetermined item number, the characterization value as measured value.Control unit 204 according to the characterization value of measured value start/
Stop air cleaning unit.
Data capture unit 201 is additionally operable to：With the measurement data of very first time interval sampling particulate matter sensors, to obtain
Multiple sampled datas.First computing unit 202 is additionally operable to：Calculate multiple sampled datas with the second time interval first is averaged
Value, the second time interval are more than very first time interval, wherein, the time series of the sequence of the first average value as measured value.
Second computing unit 203 is used for：By currentitem with it is multinomial before together with form predetermined item number sequence when be averaged
Value, the characterization value of the measured value in the period is corresponded to as currentitem；Or by currentitem with it is multinomial afterwards together with form
The average value during sequence of predetermined item number, the characterization value of the measured value in the period is corresponded to as currentitem；Or by currentitem with before
The average value during sequence of the respective multinomial predetermined item number formed together afterwards, the table of the measured value in the period is corresponded to as currentitem
Value indicative.
In a preferred embodiment, the air cleaning unit 200 also includes alignment unit 205, is used for：Using standard detection
The measurement result of instrument, the characterization value of measured value is adjusted into data gain, so as to obtain the calibration value of measurement data.
Fig. 5 shows the flow chart of purification of air control method according to an embodiment of the invention.The purification of air controlling party
Method is included with the measurement data of very first time interval sampling particulate matter sensors, then continuous sampled result is moved flat
Obtain measurement data after filtering.In this application, the method for moving average be obtain measured value time series, according to when
Between sequence elapse average value during calculating the sequence of certain item number item by item, the method as the characterization value of currentitem.
For example, each step of the purification of air control method is performed in the air purification control device 200 shown in Fig. 2
Suddenly.
In this embodiment, the filtration module of sensor internal is carried out at average filter to the data obtained in the 1S times
The data of reason, i.e. 1S times inner sensor output are the same, a sampling primary transducer data in 1S.Therefore, the implementation
The time series of the measured value of example is the time series obtained according to a data per second.
Hereafter illustrate so that the very first time is at intervals of 1S as an example, the purification of air control method includes following multiple steps.
In step S01, with very first time interval sampling measurement data.The very first time is at intervals of 0.5-1S, preferably 1S.
In step S02, the first average value of sampled data is calculated with the second time interval.Second time interval is 2.5-
5S, preferably 5S.For example, in the second time interval, the average value of continuous 5 sampled datas is calculated, it is average as first
Value.Time series of the sequence of first average value as measured value.
In step S03, in the time series of measured value, continuous multinomial average value is calculated, as the second average value.
For example, it is described it is multinomial be 6-12 items, preferably 6.Second average value is as characterization value after filtering.For example, by current 5S
The average value of continuous 6 formed together with 5 before, as current 5S characterization value, or by current 5S and 5 one afterwards
The average value of continuous 6 of composition is played, as current 5S characterization value, or, by current 5S and front and rear each multinomial group together
Into continuous 6, the characterization value as current 5S.
In step S04, started according to the characterization value of measured value/stop air cleaning unit.
The example of this method is as shown in table 1.35 hits with 1S very first time interval sampling are shown in table 1
According to.Then, the first average value of measurement data is calculated with 5S the second time interval, calculate every 5 measurement data first is flat
Average.Time series of the sequence of first average value as measured value.For example the first average value shown in table 1 is respectively
16、16、17、15、15、15、16.Then, in the time series of measured value, the average value of continuous 6 is calculated, as in 5S
The second average value.For example the second average value shown in table 1 is respectively 16,16.As a result 2 of measurement data are obtained
Characterization value, within first 5S period of sequence number 1 to 5, first characterization value is 16, second 5S time of sequence number 6 to 10
In section, second characterization value is 16.
Table 1 handles sensing data sample signal table
As preferred step, data gain further can be adjusted to the characterization value of measurement data.Wherein, reference standard
The measured value of instrument, the characterization value of measurement data is amplified into several times (such as 6 times), to obtain the actual content for representing particulate matter
Calibration value.
Fig. 6 shows what the measurement data that purification of air control method according to an embodiment of the invention obtains changed over time
Curve map.In test, the particle content that is gradually reduced in sampler chamber, while use the detector and as shown in Figure 1 of standard
Particulate matter sensors measure.
Filtering method according to an embodiment of the invention is performed in air purification control device 200 as shown in Figure 2
Each step, so as to obtain the characterization value of measurement data.Then characterization value is multiplied by multiple, to adjust data gain, so as to obtain
Obtain the calibration value of measurement data.
In figure 6, the pick up calibration value that the measurement data of detector and the method according to the invention obtain is depicted as
Curve.It can be seen that the change that the data of the two all reflect the particle content in sampler chamber exactly warms up, i.e., with the time
It is gentle to reduce.Purification of air control method according to an embodiment of the invention eliminates the big ups and downs of measurement data, exactly
Reflect actual content and its change of particulate matter.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for those skilled in the art
For, the present invention can have various changes and change.All any modifications made within spirit and principles of the present invention, it is equal
Replace, improve etc., it should be included in the scope of the protection.
Claims (12)
1. a kind of purification of air control method, it is characterised in that this method includes：
Obtain the sampled data of particulate matter sensors；
The time series of measured value is formed according to the sampled data；Elapsed item by item according to time series to calculate predetermined item number
Average value during sequence, the characterization value as measured value；And
Started according to the characterization value of measured value/stop air cleaning unit.
2. according to the method for claim 1, it is characterised in that wrap the step of the sampled data for obtaining particulate matter sensors
Include：With the measurement data of very first time interval sampling particulate matter sensors, to obtain multiple sampled datas；And form measured value
Time series the step of include：The first average value of multiple sampled datas, the second time interval are calculated with the second time interval
More than very first time interval,
Wherein, time series of the sequence of the first average value as measured value.
3. according to the method for claim 1, it is characterised in that include when calculating the sequence of predetermined item number the step of average value：
By currentitem with it is multinomial before together with form predetermined item number sequence when average value, corresponded to as currentitem in the period
Measured value characterization value；Or
By currentitem with it is multinomial afterwards together with form predetermined item number sequence when average value, corresponded to as currentitem in the period
Measured value characterization value；Or
By currentitem with it is front and rear each it is multinomial together with form predetermined item number sequence when average value, correspond to the time as currentitem
The characterization value of measured value in section.
4. according to the method for claim 1, it is characterised in that when calculating the sequence of predetermined item number the step of average value it
Afterwards, in addition to：
Using the measurement result of standard detection instrument, the characterization value of measured value is adjusted into data gain, so as to obtain measurement data
Calibration value.
5. according to the method for claim 1, it is characterised in that the particulate matter sensors include optical transmitting set and photoelectricity is examined
Device is surveyed, the particle content in air is detected according to optical principle.
6. according to the method for claim 1, it is characterised in that the particulate matter of the particulate matter sensors detection is in air
PM2.5.
7. a kind of device for purification of air, it is characterised in that the device includes：
Data capture unit, for obtaining the sampled data of particulate matter sensors；
First computing unit, for forming the time series of measured value according to the sampled data；
Second computing unit, average value during for being elapsed item by item according to time series to calculate the sequence of predetermined item number, as measurement
The characterization value of value；
Control unit：Started according to the characterization value of measured value/stop air cleaning unit.
8. device according to claim 7, it is characterised in that the data capture unit is additionally operable to：
With the measurement data of very first time interval sampling particulate matter sensors, to obtain multiple sampled datas；
First computing unit is additionally operable to：The first average value of multiple sampled datas is calculated with the second time interval, when second
Between interval be more than very first time interval, wherein, the time series of the sequence of the first average value as measured value.
9. device according to claim 7, it is characterised in that second computing unit is used for：
By currentitem with it is multinomial before together with form predetermined item number sequence when average value, corresponded to as currentitem in the period
Measured value characterization value；Or
By currentitem with it is multinomial afterwards together with form predetermined item number sequence when average value, corresponded to as currentitem in the period
Measured value characterization value；Or
By currentitem with it is front and rear each it is multinomial together with form predetermined item number sequence when average value, correspond to the time as currentitem
The characterization value of measured value in section.
10. device according to claim 7, it is characterised in that described device also includes alignment unit, is used for：
Using the measurement result of standard detection instrument, the characterization value of measured value is adjusted into data gain, so as to obtain measurement data
Calibration value.
11. device according to claim 7, it is characterised in that the particulate matter sensors include optical transmitting set and photoelectricity
Detector, the particle content in air is detected according to optical principle.
12. device according to claim 7, it is characterised in that the particulate matter of the particulate matter sensors detection is air
In PM2.5.
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Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106802269B (en) * | 2017-03-24 | 2019-09-06 | 广东美的制冷设备有限公司 | Dust sensor adjusting zero method, device and purification device for purification device |
| CN113670785A (en) * | 2021-09-27 | 2021-11-19 | 北京伟瑞迪科技有限公司 | Particulate matter concentration monitoring method, device, equipment and storage medium |
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