CN105606501B - Dust concentration detecting method and device - Google Patents

Abstract

The disclosure relates to a dust concentration detection method and device, and belongs to the technical field of data statistics. According to the numerical relationship between the first dust concentration value and the first preset threshold value range, the present disclosure adjusts the current statistical cycle to obtain the first statistical cycle, obtains the second dust concentration value and the third dust concentration value, and according to the second dust concentration The numerical relationship between the estimated value and the third dust concentration estimated value determines the dust concentration value of the first statistical period. In this way, according to the numerical relationship between the dust concentration value of the last statistical cycle and the first preset threshold range, the first statistical cycle is dynamically adjusted, and the dust concentration estimated value of the first statistical cycle is compared with the value of the second statistical cycle. The numerical relationship between the estimated values of dust concentration determines the dust concentration value of the first statistical period, so that when the detection environment changes, the dust concentration value in the changed environment can be quickly and accurately determined, further improving the dust concentration detection. sensitivity.

Description

Dust concentration detection method and device

technical field

The present disclosure relates to the technical field of data statistics, in particular to a dust concentration detection method and device.

Background technique

As people's requirements for quality of life and physical health are getting higher and higher, air purifiers and other environmental monitoring equipment have begun to enter thousands of households. For example, an air purifier is usually equipped with a dust sensor based on the principle of light scattering to detect dust in the air. When the dust sensor detects dust in the air, it will generate a level signal of a corresponding duration according to the size of the dust particle. The air purifier can count the duration of the level signal for further calculation to obtain the dust concentration. For other environmental monitoring equipment, such as dust concentration monitors, the above technology can also be used to obtain the dust concentration.

In related technologies, the dust concentration detection method includes: counting the duration of the level signal sent by the dust sensor every certain statistical period, and a statistical value can be obtained. For example, if the preset period is set to 100 seconds, then Every 100 seconds, the sampling data within 100 seconds is counted once, and then the dust concentration is calculated based on the duration occupancy ratio of the level signal counted in the statistical period.

Contents of the invention

Embodiments of the present disclosure provide a dust concentration detection method and device. Described technical scheme is as follows:

According to a first aspect of an embodiment of the present disclosure, a dust concentration detection method is provided, including:

According to the numerical relationship between the first dust concentration value and the first preset threshold range, the current statistical period is adjusted to obtain the first statistical period, and the first dust concentration value is the dust concentration value of the previous statistical period;

Obtaining a second dust concentration value and a third dust concentration value, the second dust concentration value is the estimated dust concentration value of the first statistical period, and the third dust concentration value is the estimated dust concentration value of the second statistical period , the second statistical period is smaller than the first statistical period;

The dust concentration value of the first statistical period is determined according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.

In the first possible implementation of the first aspect of the embodiments of the present disclosure, the current statistical cycle is adjusted according to the numerical relationship between the first dust concentration value and the first preset threshold to obtain the first statistical Cycles include:

If the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical period, subtract the preset adjustment step from the current statistical period, and when the first statistical period is equal to During the first target statistical period, no adjustment is made; or,

If the first dust concentration value falls within the first preset threshold range, then according to the first difference between the first dust concentration value and the lower limit threshold of the first preset threshold range, determine For the second target statistical period, the preset adjustment step is subtracted from the current statistical period, and no adjustment is performed when the first statistical period is equal to the second target statistical period.

With reference to the first aspect of the embodiments of the present disclosure and the first possible implementation manner of the first aspect, in the second possible implementation manner, according to the first dust concentration value and the first preset threshold range The first difference between the lower thresholds of , determining the second target statistical period includes:

calculating a first difference between the first dust concentration value and the lower threshold of the first preset threshold range;

calculating a second difference between the current statistical period and the first difference, and determining the second difference as the target statistical period.

In a third possible implementation manner of the first aspect of the embodiments of the present disclosure, the first The dust concentration value of the statistical period, including:

If the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the dust in the first statistical period concentration value; or,

If the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than a second preset threshold, the third dust concentration estimated value is determined as the dust in the first statistical period concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period is equal to During the third target statistical period, no adjustment is performed.

In a fourth possible implementation manner of the first aspect of the embodiments of the present disclosure, according to the numerical relationship between the second dust concentration estimate and the third dust concentration estimate, the first After the dust concentration value of statistical period, described method also comprises:

If the dust concentration value of the first statistical period is less than the third preset threshold, the following formula is applied to correct the dust concentration value of the first statistical period to obtain the final dust concentration value:

y=log _1.09 x+0.317*x+10;

Where x is the dust concentration value of the first statistical period, and y is the final dust concentration value.

According to a second aspect of an embodiment of the present disclosure, a dust concentration detection device is provided, including:

An adjustment module, configured to adjust the current statistical period according to the numerical relationship between the first dust concentration value and the first preset threshold range, to obtain the first statistical period, and the first dust concentration value is the dust concentration of the previous statistical period value;

An acquisition module, configured to acquire a second dust concentration value and a third dust concentration value, the second dust concentration value is the dust concentration estimated value of the first statistical period, and the third dust concentration value is the second statistical period The estimated value of the dust concentration, the second statistical period is less than the first statistical period;

A determining module, configured to determine the dust concentration value of the first statistical period according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.

In a first possible implementation manner of the second aspect of the embodiments of the present disclosure, the adjustment module is configured to:

When the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical period, subtract the preset adjustment step from the current statistical period, and when the first statistical period When it is equal to the first target statistical period, no adjustment is made; or,

When the first dust concentration value falls within the first preset threshold range, according to the first difference between the first dust concentration value and the lower threshold of the first preset threshold range, A second target statistical period is determined, the current statistical period is subtracted from a preset adjustment step size, and no adjustment is performed when the first statistical period is equal to the second target statistical period.

With reference to the second aspect of the embodiments of the present disclosure and the first possible implementation manner of the second aspect, in a second possible implementation manner, the adjustment module is configured to:

calculating a first difference between the first dust concentration value and the lower threshold of the first preset threshold range;

calculating a second difference between the current statistical period and the first difference, and determining the second difference as the target statistical period.

In a third possible implementation manner of the second aspect of the embodiments of the present disclosure, the determining module is configured to:

When the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the dust of the first statistical period concentration value; or,

When the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than a second preset threshold, the third dust concentration estimated value is determined as the dust of the first statistical period concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period is equal to During the third target statistical period, no adjustment is performed.

In a fourth possible implementation manner of the second aspect of the embodiments of the present disclosure, the device further includes:

A correction module, configured to apply the following formula to correct the dust concentration value of the first statistical period to obtain a final dust concentration value when the dust concentration value of the first statistical period is less than the third preset threshold:

y=log _1.09 x+0.317*x+10;

Where x is the dust concentration value of the first statistical period, and y is the final dust concentration value.

According to a third aspect of an embodiment of the present disclosure, a dust concentration detection device is provided, including:

processor;

memory for storing executable instructions of the processor;

Wherein, the processor is used for:

According to the numerical relationship between the first dust concentration value and the first preset threshold range, the current statistical period is adjusted to obtain the first statistical period, and the first dust concentration value is the dust concentration value of the previous statistical period;

Obtaining a second dust concentration value and a third dust concentration value, the second dust concentration value is the estimated dust concentration value of the first statistical period, and the third dust concentration value is the estimated dust concentration value of the second statistical period , the second statistical period is smaller than the first statistical period;

The dust concentration value of the first statistical period is determined according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

According to the numerical relationship between the dust concentration value of the previous statistical cycle and the first preset threshold range, dynamically adjusting the first statistical cycle can improve the stability and sensitivity of dust concentration detection, and, through the dust concentration of the first statistical cycle The numerical relationship between the estimated concentration value and the estimated value of the dust concentration in the second statistical cycle determines the dust concentration value in the first statistical cycle, so that when the detection environment changes, the dust in the changed environment can be quickly and accurately determined The concentration value further improves the sensitivity of dust concentration detection.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.

Fig. 1 is a flow chart of a dust concentration detection method according to an exemplary embodiment.

Fig. 2 is a flow chart of a dust concentration detection method according to another exemplary embodiment.

Fig. 3 is a block diagram of a dust concentration detection device according to an exemplary embodiment.

Fig. 4 is a block diagram of a dust concentration detection device according to another exemplary embodiment.

Detailed ways

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

The method provided by the embodiments of the present disclosure can be applied to smart devices such as air purifiers and dust concentration monitors, where the smart devices at least include a dust sensor and a processor. Among them, the dust sensor is used to detect the dust in the air, and based on the principle of light scattering, the intensity of light scattered by the dust is converted into a level signal. The processor is used to further calculate and process the level signal, so as to determine the dust concentration value.

Fig. 1 is a flow chart of a dust concentration detection method according to an exemplary embodiment. The dust concentration detection method may include the following steps:

In step 101, the current statistical period is adjusted according to the numerical relationship between the first dust concentration value and the first preset threshold range to obtain the first statistical period, and the first dust concentration value is the dust concentration value of the previous statistical period.

In step 102, a second dust concentration value and a third dust concentration value are obtained, the second dust concentration value is an estimated dust concentration value of the first statistical period, and the third dust concentration value is an estimated dust concentration value of the second statistical period value, the second statistical period is smaller than the first statistical period.

In step 103, the dust concentration value of the first statistical period is determined according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.

The method provided by the embodiments of the present disclosure dynamically adjusts the first statistical period according to the numerical relationship between the dust concentration value of the previous statistical period and the first preset threshold range, which can improve the stability and sensitivity of dust concentration detection, and , through the numerical relationship between the dust concentration estimated value of the first statistical period and the dust concentration estimated value of the second statistical period, the dust concentration value of the first statistical period is determined, so that when the detection environment changes, it can be quickly and accurately The dust concentration value in the changed environment is determined, and the sensitivity of dust concentration detection is further improved.

Based on the method provided above, in a possible implementation, the adjusting the current statistical cycle according to the numerical relationship between the first dust concentration value and the first preset threshold includes:

If the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical period, subtract the preset adjustment step from the current statistical period, and when the first statistical period is equal to During the first target statistical period, no adjustment is made; or,

If the first dust concentration value falls within the first preset threshold range, then according to the first difference between the first dust concentration value and the lower limit threshold of the first preset threshold range, determine For the second target statistical period, the preset adjustment step is subtracted from the current statistical period, and no adjustment is performed when the first statistical period is equal to the second target statistical period.

The first target statistical period or the second target statistical period is determined according to the numerical relationship between the first dust concentration value and the first preset threshold range, and the first target statistical period is gradually subtracted from the preset adjustment step. The statistical cycle tends to be the first target statistical cycle or the second target statistical cycle, avoiding the problem of large fluctuations in dust concentration caused by directly adjusting the first statistical cycle to the first target statistical cycle or the second target statistical cycle, and improving detection Stability of dust concentration values.

In another possible implementation manner, the determining the second target statistical period according to the first difference between the first dust concentration value and the lower threshold of the first preset threshold range includes:

calculating a first difference between the first dust concentration value and the lower threshold of the first preset threshold range;

calculating a second difference between the current statistical period and the first difference, and determining the second difference as the target statistical period.

The target statistical period is determined according to the first difference between the first dust concentration value and the lower limit threshold of the first preset threshold range, and further, the first statistical period is dynamically adjusted according to the dust concentration value in the air. The cycle makes the detection result of dust concentration more accurate.

In another possible implementation manner, the determining the dust concentration value of the first statistical period according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value includes:

If the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the dust in the first statistical period concentration value; or,

If the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than a second preset threshold, the third dust concentration estimated value is determined as the dust in the first statistical period concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period is equal to During the third target statistical period, no adjustment is performed.

According to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value, the dust concentration value of the first statistical period is determined, and when the detection environment changes, the problem of insufficient sensitivity of the dust sensor can be avoided, and the dust sensor can be more sensitive. Quickly and accurately determine the dust concentration value in the changed environment.

In another possible implementation manner, after determining the dust concentration value of the first statistical period according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value, the The method also includes:

If the dust concentration value of the first statistical period is less than the third preset threshold, the following formula is applied to correct the dust concentration value of the first statistical period to obtain the final dust concentration value:

y=log _1.09 x+0.317*x+10;

Where x is the dust concentration value of the first statistical period, and y is the final dust concentration value.

When the dust concentration value of the first statistical cycle is less than the third preset threshold value, the dust concentration value of the first statistical cycle is corrected by the above formula, so that the final dust concentration value increases linearly, and the problem of too low output amplitude is solved .

All the above optional technical solutions may be combined in any way to form optional embodiments of the present disclosure, which will not be repeated here.

Fig. 2 is a flow chart showing a dust concentration detection method according to another exemplary embodiment. This embodiment is described by taking the dust concentration detection method applied to an air cleaner as an example. The dust concentration detection method may include the following steps:

In step 201, the current statistical period is adjusted according to the numerical relationship between the first dust concentration value and the first preset threshold range to obtain the first statistical period, and the first dust concentration value is the dust concentration value of the previous statistical period.

Wherein, the first statistical cycle refers to a cycle for counting the duration of the level signal sent by the dust sensor. In the process of detecting the dust concentration, it is necessary to sample the level signal output by the dust sensor every preset sampling period, and obtain the duration of the sampled level signal, according to the particle size of the detected dust Different, the duration of the level signal generated by the dust sensor is different. The smaller the dust particle is, the shorter the duration of the corresponding level signal is, and the larger the dust particle is, the longer the duration of the generated level signal is. Wherein, the preset sampling period can be set by default by the air purifier, or can be set by the user according to actual needs. For example, the level signal is sampled every 10 ms, and the duration of the sampled level signal is obtained to be 100 ms.

After the duration of multiple level signals is obtained, the duration of the obtained level signals is counted in the first statistical period, and the duration occupation of the total duration of the level signal in the first statistical period can be obtained Compare. For example, if the first statistical period is 10s, the duration of the level signal counted in the first statistical period includes 100ms, 200ms, 150ms, 200ms, 400ms and 300ms, then the duration occupancy ratio is (0.1+0.2+ 0.15+0.2+0.4+0.3)*100%/10.

The dust concentration value of the first statistical period can be determined based on the following formula 1:

Formula 1: Z＝5.61*10 ⁴ *k ³ -6.92*k ² *10 ³ +1.56*10 ³ *k

Among them, k is the total duration occupancy ratio of the level signal counted in the first statistical period, and its value range is [0,1], Z is the dust concentration value in the first statistical period, and * represents multiplication.

However, in practical applications, if the first statistical period is fixed, or if the first statistical period is set too long, when the detection environment changes suddenly, the sensitivity of detection is likely to be insufficient. If the first statistical period If the period is set too short, it will easily lead to large fluctuations in the detected dust concentration value. Therefore, in this embodiment, according to different actual situations, corresponding adjustments may be made to the first statistical period. Specifically, the first statistical period may be adjusted according to the numerical relationship between the first dust concentration value and the first preset threshold range. The first preset threshold range can be set by default by the air purifier, or can be set by the user according to actual needs.

Wherein, the first preset threshold range has a lower threshold and an upper threshold, and according to the difference in numerical relationship between the first dust concentration value and the first preset threshold range, adjusting the current statistical cycle may include any of the following possible implementations:

In a first possible implementation manner, if the first dust concentration value is less than the lower threshold of the first preset threshold range, the current statistical period is not adjusted. Wherein, the first preset threshold range can be set by default by the air purifier, or can be set by the user according to actual needs.

When the first dust concentration value is less than the lower limit threshold value of the first preset threshold range, it can be considered that the amount of dust in the air is very small under normal circumstances. Therefore, when the air purifier is started, the first statistical period can be set a little longer, for example, set it to 100s, that is, when the air purifier is started, the current statistical period is 100s . Moreover, if the first dust concentration value is less than the lower threshold of the first preset threshold range, the current statistical period is not adjusted.

For example, if the first preset threshold range is set to [20,80], if the first dust concentration value is 15, and the current statistical period is set to 100s, the current statistical period will not be adjusted.

In the second possible implementation, if the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical cycle, subtract the preset adjustment step from the current statistical cycle, and when the first statistical When the period is equal to the first target statistical period, no adjustment will be made. Wherein, the first target statistical period can be set by default by the air purifier, or can be set by the user according to actual needs. Similarly, the preset adjustment step size can be set by default by the air purifier, or can be set by the user according to actual needs.

Specifically, if the first dust concentration value is greater than the upper threshold of the first preset threshold range, it means that there is a lot of dust in the air. If the first statistical period is still kept at the current statistical period of 100s, it is easy to cause the detected dust concentration value to be inaccurate. , at this point, the current statistical cycle can be adjusted. However, in order to reduce the fluctuation of the detected dust concentration value, during the adjustment process, the current statistical period may be subtracted from the preset adjustment step, so that the first statistical period tends to the first target statistical period. And, if after one adjustment, the first dust concentration value is still greater than the upper threshold of the first preset threshold range, then continue to subtract the preset adjustment step from the current statistical period until the first statistical period is equal to the first target statistical period , do not continue to adjust. By subtracting the preset adjustment step from the current statistical period, the first statistical period tends to the first target statistical period, avoiding the fluctuation of the detected dust concentration value caused by adjusting the first statistical period to the first target statistical period at one time Bigger problem.

For example, if the first preset threshold range is set to [20,80], the preset adjustment step is set to 1s, the current statistical period is 100s, and the first target statistical period is 40s. If the first dust concentration value is 85, the first target statistical period is determined to be 40s, and the current statistical period is subtracted by 1s, that is, the first statistical period can be determined to be 99s. If the first dust concentration value of the first statistical period of 99s is still 85, then continue to subtract 1s from the current statistical period, that is, the next first statistical period can be determined to be 98s, so until the first statistical period is equal to the first target When counting the period, no longer subtract 1s to adjust the step size.

In a third possible implementation, if the first dust concentration value falls within the first preset threshold range, then according to the first difference between the first dust concentration value and the lower threshold of the first preset threshold range , determine the second target statistical period, subtract the preset adjustment step from the current statistical period, and no longer adjust when the first statistical period is equal to the second target statistical period.

Specifically, when the first dust concentration value falls within the first preset threshold range, the first statistical period is neither too long nor too short. For this reason, the first dust concentration value and the first preset threshold range can be The second target statistical period is determined by the first difference between the lower limit thresholds. Wherein, the method of adjusting the current statistical period is the same as the above, and will not be repeated here.

Based on the above-mentioned second possible implementation, in a possible implementation, according to the first difference between the first dust concentration value and the lower limit threshold of the first preset threshold range, the determination of the second target statistical period includes : Calculate the first difference between the first dust concentration value and the lower threshold of the first preset threshold range, calculate the second difference between the current statistical period and the first difference, and determine the second difference as Target statistical period.

For example, if the first preset threshold range is set to [20,80], the preset adjustment step is set to 1s, and the current statistical cycle is 100s, if the first dust concentration value is 30, then the first dust concentration value and the first The first difference of the lower limit of the preset threshold is 30-20=10, and it can be determined that the first target statistical period is 100-10=90s.

By subtracting the preset adjustment step from the current statistical period, the first statistical period tends to the second target statistical period, avoiding the fluctuation of the detected dust concentration value caused by adjusting the first statistical period to the second target statistical period at one time Bigger problem.

In step 202, a second dust concentration value and a third dust concentration value are obtained, the second dust concentration value is an estimated dust concentration value of the first statistical period, and the third dust concentration value is an estimated dust concentration value of the second statistical period value.

In order to adapt to the rapid change of the dust concentration caused by the sudden change of the environment, when the duration of multiple level signals is obtained, the estimated value of the dust concentration of the second statistical period can also be obtained. Wherein, the second statistical period is shorter than the first statistical period, and the second statistical period can be set by default by the air purifier, or can be set by the user according to actual needs. In this way, the dust concentration in the detection environment can be quickly detected by obtaining the dust concentration estimated value of the second statistical period, and whether the detection environment changes can be further determined through the numerical relationship with the second dust concentration estimated value. For example, the second statistical period is set to 20s.

In step 203, the dust concentration value of the first statistical period is determined according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.

According to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value, determining the dust concentration value of the first statistical period may include any of the following possible implementations:

In a first possible implementation, if the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the first statistical period dust concentration value. Wherein, the second preset threshold can be set by default by the air purifier, or can be set by the user according to actual needs.

When the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than the second preset threshold, that is, the second dust concentration estimated value detected in the first statistical period and the third dust concentration detected in the second statistical period There is little difference between the estimated dust concentration values, and it can be considered that the detection environment has not changed. At this time, the second dust concentration estimated value can be determined as the dust concentration value of the first statistical period.

For example, if the second preset threshold value is set to 80, the second dust concentration estimated value is 10, the third dust concentration estimated value is 20, and the difference between the second dust concentration estimated value and the third dust concentration estimated value is 10 , is less than the second preset threshold 80, at this time, the second dust concentration estimated value 10 is determined as the dust concentration value of the first statistical period.

It should be noted that the second dust concentration estimated value is determined here as the dust concentration value of the first statistical period because the first statistical period corresponding to the second dust concentration estimated value is based on the dust concentration value of the previous statistical period and The numerical relationship between the first preset threshold ranges is determined, and the second dust concentration estimated value is more accurate than the third dust concentration estimated value of the second statistical period.

In a second possible implementation, if the difference between the second dust concentration estimate and the third dust concentration estimate is greater than the second preset threshold, the third dust concentration estimate is determined as the first statistical period dust concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period When the period is equal to the third target statistical period, no adjustment is made.

When the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than the second preset threshold, that is, the second dust concentration estimated value detected in the first statistical period and the third dust concentration detected in the second statistical period There is a large difference between the dust concentration estimates, and it can be considered that the detection environment has changed. At this time, the third dust concentration estimate can be determined as the dust concentration value of the first statistical period, and the second statistical period is determined as The third target statistical cycle is correspondingly adjusted to the first statistical cycle, and the adjustment method is the same as above.

For example, if the second preset threshold is set to 80, the second estimated value of dust concentration is 110, the second statistical period is 20s, the third estimated value of dust concentration is 20, the second estimated value of dust concentration and the third estimated value of dust concentration The difference between them is 90, which is greater than the second preset threshold 80. At this time, the third dust concentration estimated value 20 is determined as the dust concentration value of the first statistical period, and 20s is determined as the third target statistical period, Adjust the first statistical period.

So far, the method provided in this embodiment can optimize the problems of large numerical fluctuations and insufficient sensitivity in the dust concentration detection process. In order to further optimize the problem that the output range of the dust concentration value is too low during the dust concentration detection, this embodiment may further include the following step 204 .

In step 204, if the dust concentration value in the first statistical period is less than the third preset threshold, formula 2 is applied to correct the dust concentration value in the first statistical period to obtain the final dust concentration value.

Among them, formula two is:

y=log _1.09 x+0.317*x+10;

Among them, x is the dust concentration value of the first statistical period, and y is the final dust concentration value obtained.

In practical applications, due to the defects of the air purifier itself, it is easy to cause that when the dust concentration in the air increases, the dust concentration value of the air purifier in the first statistical period increases exponentially, so that the output dust concentration value will decrease. Compared with the actual range, the dust concentration in the air cannot be accurately detected. For this reason, the dust concentration value of the first statistical period can be corrected by the above formula 2, which can make the dust concentration value increase linearly, so that It can ensure that the detection results are more accurate.

In the method provided by the embodiments of the present disclosure, according to the numerical relationship between the dust concentration value of the last statistical cycle and the first preset threshold range, the first statistical cycle is dynamically adjusted, which can improve the stability and sensitivity of dust concentration detection, Moreover, through the numerical relationship between the estimated value of the dust concentration in the first statistical period and the estimated value of the dust concentration in the second statistical period, the dust concentration value in the first statistical period is determined, so that when the detection environment changes, it can be quickly and accurately The dust concentration value in the changed environment can be accurately determined, and the sensitivity of dust concentration detection can be further improved.

The following are device embodiments of the present disclosure, which can be used to implement the method embodiments of the present disclosure. For details not disclosed in the disclosed device embodiments, please refer to the disclosed method embodiments.

Fig. 3 is a block diagram of a dust concentration detection device according to an exemplary embodiment. The dust concentration detection device can be implemented by software, hardware or a combination of both. The dust concentration detection device may include:

An adjustment module 310, configured to adjust the current statistical period according to the numerical relationship between the first dust concentration value and the first preset threshold range to obtain a first statistical period, the first dust concentration value being the dust of the previous statistical period Concentration value;

An acquisition module 320, configured to acquire a second dust concentration value and a third dust concentration value, the second dust concentration value is an estimated dust concentration value of the first statistical cycle, and the third dust concentration value is a second statistical value Periodic dust concentration estimates, the second statistical period is smaller than the first statistical period;

The determination module 330 is configured to determine the dust concentration value of the first statistical period according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.

The device provided by the embodiments of the present disclosure dynamically adjusts the first statistical period according to the numerical relationship between the dust concentration value of the previous statistical period and the first preset threshold range, which can improve the stability and sensitivity of dust concentration detection, and , through the numerical relationship between the dust concentration estimated value of the first statistical period and the dust concentration estimated value of the second statistical period, the dust concentration value of the first statistical period is determined, so that when the detection environment changes, it can be quickly and accurately The dust concentration value in the changed environment is determined, and the sensitivity of dust concentration detection is further improved.

Based on the device provided above, please refer to FIG. 4 , in a possible implementation manner, the adjustment module 310 is used to:

When the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical period, subtract the preset adjustment step from the current statistical period, and when the first statistical period When it is equal to the first target statistical period, no adjustment is made; or,

When the first dust concentration value falls within the first preset threshold range, according to the first difference between the first dust concentration value and the lower threshold of the first preset threshold range, A second target statistical period is determined, the current statistical period is subtracted from a preset adjustment step size, and no adjustment is performed when the first statistical period is equal to the second target statistical period.

In another possible implementation manner, the adjustment module 310 is configured to:

calculating a first difference between the first dust concentration value and the lower threshold of the first preset threshold range;

calculating a second difference between the current statistical period and the first difference, and determining the second difference as the target statistical period.

In another possible implementation manner, the determining module 330 is configured to:

When the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the dust of the first statistical period concentration value; or,

When the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than a second preset threshold, the third dust concentration estimated value is determined as the dust in the first statistical period concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period is equal to During the third target statistical period, no adjustment is performed.

In another possible implementation manner, the device further includes:

The correction module 340 is configured to apply the following formula to correct the dust concentration value of the first statistical period to obtain the final dust concentration value when the dust concentration value of the first statistical period is less than the third preset threshold:

y=log _1.09 x+0.317*x+10;

Where x is the dust concentration value of the first statistical period, and y is the final dust concentration value.

It should be noted that when the dust concentration detection device provided by the above-mentioned embodiments implements the dust concentration detection method, it only uses the division of the above-mentioned functional modules as an example. In practical applications, the above-mentioned functions can be allocated according to actual needs. The functional modules are completed, that is, the content structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, with regard to the apparatus in the above embodiments, the specific manner in which each module executes operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

Other embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, and these modifications, uses or adaptations follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure . The specification and examples are to be considered exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It should be understood that the present disclosure is not limited to the precise constructions which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (11)

1. a dust concentration detection method, is characterized in that, described method comprises: According to the numerical relationship between the first dust concentration value and the first preset threshold range, the current statistical period is adjusted to obtain the first statistical period, and the first dust concentration value is the dust concentration value of the previous statistical period; Obtaining a second dust concentration value and a third dust concentration value, the second dust concentration value is the estimated dust concentration value of the first statistical period, and the third dust concentration value is the estimated dust concentration value of the second statistical period , the second statistical period is smaller than the first statistical period, and the second statistical period is a period preset in the smart device including at least a dust sensor and a processor; The dust concentration value of the first statistical period is determined according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value. 2. The method according to claim 1, characterized in that, adjusting the current statistical cycle according to the numerical relationship between the first dust concentration value and the first preset threshold value to obtain the first statistical cycle includes: If the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical period, subtract the preset adjustment step from the current statistical period, and when the first statistical period is equal to During the first target statistical period, no adjustment is made; or, If the first dust concentration value falls within the first preset threshold range, then according to the first difference between the first dust concentration value and the lower limit threshold of the first preset threshold range, determine For the second target statistical period, the preset adjustment step is subtracted from the current statistical period, and no adjustment is performed when the first statistical period is equal to the second target statistical period. 3. The method according to claim 2, wherein the second target statistical value is determined according to the first difference between the first dust concentration value and the lower limit threshold of the first preset threshold range. Cycles include: calculating a first difference between the first dust concentration value and the lower threshold of the first preset threshold range; calculating a second difference between the current statistical period and the first difference, and determining the second difference as the second target statistical period. 4. The method according to claim 1, characterized in that, according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value, the dust concentration of the first statistical period is determined. Concentration values, including: If the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the dust in the first statistical period concentration value; or, If the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than a second preset threshold, the third dust concentration estimated value is determined as the dust in the first statistical period concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period is equal to During the third target statistical period, no adjustment is performed. 5. The method according to claim 1, characterized in that, according to the numerical relationship between the second estimated dust concentration value and the third estimated dust concentration value, the dust concentration of the first statistical period is determined. After the concentration value, the method also includes: If the dust concentration value of the first statistical period is less than the third preset threshold, the following formula is applied to correct the dust concentration value of the first statistical period to obtain the final dust concentration value: y=log _1.09 x+0.317*x+10; Where x is the dust concentration value of the first statistical period, and y is the final dust concentration value. 6. A dust concentration detection device, characterized in that the device comprises: an adjustment module, an acquisition module and a determination module connected in sequence; The adjustment module is used to adjust the current statistical cycle according to the numerical relationship between the first dust concentration value and the first preset threshold range to obtain the first statistical cycle, and the first dust concentration value is the value of the previous statistical cycle Dust concentration value; The acquiring module is configured to acquire a second dust concentration value and a third dust concentration value, the second dust concentration value is the dust concentration estimated value of the first statistical period, and the third dust concentration value is the second The estimated value of the dust concentration of the statistical period, the second statistical period is smaller than the first statistical period, and the second statistical period is a period preset in the smart device including at least a dust sensor and a processor; The determining module is configured to determine the dust concentration value of the first statistical period according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value. 7. The device according to claim 6, wherein the adjustment module is used for: When the first dust concentration value is greater than the upper threshold of the first preset threshold range, determine the first target statistical period, subtract the preset adjustment step from the current statistical period, and when the first statistical period When it is equal to the first target statistical period, no adjustment is made; or, When the first dust concentration value falls within the first preset threshold range, according to the first difference between the first dust concentration value and the lower threshold of the first preset threshold range, A second target statistical period is determined, the current statistical period is subtracted from a preset adjustment step size, and no adjustment is performed when the first statistical period is equal to the second target statistical period. 8. The device according to claim 7, wherein the adjustment module is used for: calculating a first difference between the first dust concentration value and the lower threshold of the first preset threshold range; calculating a second difference between the current statistical period and the first difference, and determining the second difference as the second target statistical period. 9. The device according to claim 6, wherein the determination module is used for: When the difference between the second dust concentration estimated value and the third dust concentration estimated value is less than a second preset threshold, the second dust concentration estimated value is determined as the dust of the first statistical period concentration value; or, When the difference between the second dust concentration estimated value and the third dust concentration estimated value is greater than a second preset threshold, the third dust concentration estimated value is determined as the dust of the first statistical period concentration value, and determine the second statistical period as the third target statistical period, adjust the first statistical period, subtract the preset adjustment step from the first statistical period, when the first statistical period is equal to During the third target statistical period, no adjustment is performed. 10. The device according to claim 6, further comprising: A correction module, configured to apply the following formula to correct the dust concentration value of the first statistical period to obtain a final dust concentration value when the dust concentration value of the first statistical period is less than the third preset threshold: y=log _1.09 x+0.317*x+10; Where x is the dust concentration value of the first statistical period, and y is the final dust concentration value. 11. A dust concentration detection device, characterized in that it comprises: processor; memory for storing executable instructions of the processor; Wherein, the processor is used for: According to the numerical relationship between the first dust concentration value and the first preset threshold range, the current statistical period is adjusted to obtain the first statistical period, and the first dust concentration value is the dust concentration value of the previous statistical period; Obtaining a second dust concentration value and a third dust concentration value, the second dust concentration value is the estimated dust concentration value of the first statistical period, and the third dust concentration value is the estimated dust concentration value of the second statistical period , the second statistical period is less than the first statistical period, and the second statistical period is a period preset in the smart device including at least a dust sensor and a processor; The dust concentration value of the first statistical period is determined according to the numerical relationship between the second dust concentration estimated value and the third dust concentration estimated value.