Method for determining mass concentration of fine particulate matters and computing equipment

Abstract

The embodiment of the invention provides a method for determining the mass concentration of fine particulate matters and computing equipment. The method for determining the mass concentration of the fine particulate matters comprises the following steps: acquiring the monitored particle number and relative humidity of a fine particle size section obtained by monitoring the environment quality in a target time period, and determining a target particle size section for calculating the mass concentration according to the relative humidity; the monitoring particle number of each target particle size section is corrected based on the relative humidity to obtain a corrected particle number, and the ratio of the corrected particle number of each target particle size section to the corresponding monitoring particle number is inversely proportional to the relative humidity; and performing weighted summation based on the corrected particle number of each target particle size section and a preset mass concentration coefficient, and determining the mass concentration of the fine particulate matters in the target time period. By excluding the particle size sections which do not influence the mass concentration of the fine particulate matters, the difference between the mass concentration of the fine particulate matters obtained by the embodiment of the invention and the actual mass concentration is smaller, namely, the calculated mass concentration value is more accurate.

Description

Technical Field

[0001] The present disclosure relates to the technical field of air quality monitoring, and in particular to a method for determining the mass concentration of fine particulate matter and a computing device. Background Art

[0002] Fine particulate matter is suspended particulate matter with an aerodynamic equivalent diameter less than or equal to 2.5 microns, commonly known as PM2.5. Monitoring the concentration of fine particulate matter is one of the important tasks of current air quality monitoring. In related technologies, it has been found that the water content of the air has an impact on the particle size of the monitored particles in the fine particle size segment, which in turn affects the monitoring of PM2.5. In order to eliminate the impact of humidity on the monitoring of fine particulate matter mass concentration, related technologies propose to convert the particle size based on humidity, determine the converted particle size, and then calculate the mass concentration based on the converted particle size. However, after precise testing in laboratory conditions, it was found that the aforementioned method still cannot accurately determine the actual mass concentration. Summary of the invention

[0003] In order to solve the problem that the mass concentration of fine particles determined by the existing calculation method is inaccurate, the present disclosure provides a method and a calculation device for determining the mass concentration of fine particles.

[0004] In a first aspect, an embodiment of the present disclosure provides a method for determining a mass concentration of fine particulate matter, comprising:

[0005] Obtaining the number of monitored particles and relative humidity of the fine particle size segment obtained by monitoring the environmental quality during the target period, and determining the target particle size segment for calculating the mass concentration according to the relative humidity, wherein the upper limit of the particle size of the target particle size segment is positively correlated with the relative humidity, and the upper limit of the particle size of the fine particle size segment is greater than 2.5 microns;

[0006] Based on the relative humidity, the monitored particle count of each target particle size segment is corrected to obtain a corrected particle count, wherein the ratio of the corrected particle count of each target particle size segment to the corresponding monitored particle count is inversely proportional to the relative humidity;

[0007] The mass concentration of fine particulate matter in the target time period is determined by weighted summation based on the corrected particle number of each target particle size segment and the pre-set mass concentration coefficient.

[0008] Optionally, determining a target particle size segment for calculating mass concentration according to the relative humidity includes:

[0009] Adopt D threshold =Roundup(D basic ·e t·RH +2.5) to determine the target particle size segment for calculating mass concentration, where Roundup is used to characterize and determine D basic ·et·RH +2.5 The value of the endpoint of the adjacent larger particle size segment, D basic is the unit particle size, RH is the relative humidity, and is the relative humidity adjustment coefficient.

[0010] Optionally, the monitoring particle count of each target particle size segment is corrected based on the relative humidity to obtain a corrected particle count, including:

[0011] use Correcting the monitored particle counts of each target particle size segment to obtain the corrected particle counts;

[0012] Where Pi is the number of monitored particles in the i-th target particle size segment, k i is the compensation coefficient corresponding to the i-th target particle size segment, RH is the relative humidity, Pr i is the corrected particle number corresponding to the i-th target particle size segment.

[0013] Optionally, a weighted sum is performed based on the corrected particle number of each target particle size segment and a preset mass concentration coefficient to determine the mass concentration of fine particulate matter in the target time period, including:

[0014] use Calculate the mass concentration of fine particulate matter during the target period;

[0015] Where m0 is the unit mass concentration, c i is the mass concentration coefficient corresponding to the i-th target particle size segment, and Pi is the number of monitored particles in the i-th target particle size segment.

[0016] Optionally, before correcting the monitored particle count of each target particle size segment based on the relative humidity, the method further includes:

[0017] Determining an estimated mass concentration parameter of each target particle size segment based on the monitored particle number of each target particle size segment and the preset mass concentration coefficient, and determining a mass concentration proportion of each target particle size segment according to the estimated mass concentration parameter;

[0018] Calculate the difference between the mass concentration of each target particle size segment and the mass concentration ratio corresponding to the previous time period, and calculate the change ratio based on the difference, wherein the previous time period is the previous and adjacent time period of the target time period;

[0019] When the change ratio corresponding to a target particle size segment is greater than a set ratio, the number of monitored particles of the target particle size segment in the previous time period is used as the corrected number of monitored particles in the target time period, or the average value of the number of monitored particles of the target particle size segment in the previous time period and the number of monitored particles in the target time period is calculated, and the average value is used as the corrected number of monitored particles;

[0020] The correcting the monitored particle count of each target particle size segment based on the relative humidity includes: when the change ratio corresponding to a target particle size segment is greater than a set ratio, correcting the corrected monitored particle count based on the relative humidity.

[0021] Optionally, the target time period is a minute time period;

[0022] After determining the fine particulate matter mass concentration of the target time period, the method further includes: calculating an average value of the fine particulate matter mass concentration obtained based on the target time period and other minute time periods within the hour period corresponding to the target time period as the fine particulate matter mass concentration of the hour period.

[0023] Optionally, the step of obtaining the number of monitored particles in the fine particle size segment obtained by monitoring the environmental quality during the target period includes:

[0024] Obtain the number of monitored particles in the particle size range below 4.0 microns obtained by monitoring environmental quality using a particle size mass spectrometer during the target period;

[0025] Determining the target particle size segment for calculating the mass concentration according to the relative humidity includes: determining the target particle size segment according to the particle size segment below 4.0 microns according to the relative humidity.

[0026] In a second aspect, the present disclosure implements a computing device, including a processor and a memory, wherein the memory is used to store a computer program; when the computer program is loaded by the processor, the processor executes the following method:

[0027] Obtaining the number of monitored particles and relative humidity of the fine particle size segment obtained by monitoring the environmental quality during the target period, and determining the target particle size segment for calculating the mass concentration according to the relative humidity, wherein the upper limit of the particle size of the target particle size segment is positively correlated with the relative humidity;

[0028] Based on the relative humidity, the monitored particle count of each target particle size segment is corrected to obtain a corrected particle count, wherein the ratio of the corrected particle count of each target particle size segment to the corresponding monitored particle count is inversely proportional to the relative humidity;

[0029] The mass concentration of fine particulate matter in the target time period is determined by weighted summation based on the corrected particle number of each target particle size segment and the pre-set mass concentration coefficient.

[0030] Optionally, the processor determines a target particle size segment for calculating mass concentration according to the relative humidity, comprising:

[0031] Adopt D threshold =Roundup(D basic ·e t·RH+2.5) to determine the target particle size segment for calculating mass concentration, where Roundup is used to characterize and determine D basic ·e t·RH +2.5 The value of the endpoint of the adjacent larger particle size segment, D basic is the unit particle size, RH is the relative humidity, and t is the relative humidity adjustment coefficient.

[0032] Optionally, the processor corrects the monitored particle count of each target particle size segment based on the relative humidity to obtain a corrected particle count, including:

[0033] use Correcting the monitored particle counts of each target particle size segment to obtain the corrected particle counts;

[0034] Where Pi is the number of monitored particles in the i-th target particle size segment, k i is the compensation coefficient corresponding to the i-th target particle size segment, RH is the relative humidity, Pr i is the corrected particle number corresponding to the i-th target particle size segment.

[0035] The method for determining the mass concentration of fine particulate matter provided in the embodiment of the present disclosure first determines the target particle size segment for calculating the mass concentration according to the relative humidity, excludes the particle size segment that does not affect the mass concentration of fine particulate matter, and then corrects the monitored particle number of each target particle size segment according to the relative humidity to obtain the corrected particle number, and determines the mass concentration of fine particulate matter in the target time period based on the corrected particle number. It is by excluding the particle size segment that does not affect the mass concentration of fine particulate matter that the difference between the mass concentration of fine particulate matter obtained in the embodiment of the present disclosure and the actual mass concentration is smaller, that is, the value of the calculated mass concentration is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor, including

[0038] Figure 1 is a flow chart of a method for determining the mass concentration of fine particulate matter provided in an embodiment of the present disclosure;

[0039] Figure 2 It is a structural diagram of a computing device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0040] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0041] The term "including" and its variations used in this document are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the following description. In this document, relational terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities or operations.

[0042] In order to solve the problem that the existing method for determining the mass concentration of fine particulate matter based on humidity monitoring cannot accurately determine the mass concentration of fine particulate matter in the air, the embodiment of the present disclosure provides a new method for determining the mass concentration of fine particulate matter.

[0043] Figure 1 : is a flow chart of a method for determining the mass concentration of fine particulate matter provided in an embodiment of the present disclosure. Figure 1 As shown, the method for determining the mass concentration of fine particulate matter provided in the embodiment of the present disclosure includes S110-S130.

[0044] S110: Obtain the number of monitored particles and relative humidity in the fine particle size segment obtained by monitoring the environmental quality during the target period, and determine the target particle size segment for calculating the mass concentration according to the relative humidity.

[0045] The target period is a predetermined period used to implement environmental quality monitoring. The target period may be a period with a measurement period of minutes or hours, which is not limited in the embodiments of the present disclosure.

[0046] In a specific implementation, a monitoring device such as a particle size spectrometer can be used to monitor particulate matter in the ambient air to obtain the number of monitored particles in the fine particle size segment, and a hygrometer can be used to monitor the humidity of the ambient air to obtain the air humidity.

[0047] In the disclosed embodiment, the upper limit of the particle size of the fine particle size segment is greater than 2.5 microns, that is, the particles in the fine particle size segment include particles with a diameter greater than 2.5 microns. Here, only the upper limit of the particle size of the fine particle size segment is set as the minimum limit. In actual situations, the upper limit of the particle size of the fine particle size segment should not be too large. In actual situations, the upper limit of the particle size does not exceed 4.0 microns (why the maximum setting is 4.0 will be explained later).

[0048] After obtaining the number of monitored particles and relative humidity in the fine particle size segment, the target particle size segment for calculating the mass concentration can then be determined based on the relative humidity. In the disclosed embodiment, the upper limit of the particle size of the target particle size segment is positively correlated with the relative humidity. In other words, the higher the relative humidity, the larger the upper limit of the target particle size segment.

[0049] Here we analyze why the upper limit of particle size is positively correlated with relative humidity and why the upper limit of particle size in the fine particle segment is determined to be 4.0 microns.

[0050] Since most particles in the fine particle size segment are composed of polar substances, the particles in the fine particle size segment have a strong hygroscopic capacity. The higher the air humidity, the greater the water content in the air, and the more water the corresponding fine particle size segment particles can absorb. Under the condition of the same dry weight of fine particle size segment particles, the higher the air humidity, the more water it absorbs, and the greater the corresponding volume expansion. Correspondingly, after removing the water, the absolute value of the reduction in the size of the particles in the corresponding particle size segment is also greater. Based on this, the upper limit of the particle size of the target particle size segment in the embodiment of the present disclosure is positively correlated with the relative humidity.

[0051] In addition, after analysis, it was found that the water absorption capacity of particles in the fine particle size segment is limited. When the relative humidity of the air is 100%, the maximum size of particles with a dry weight and a particle size of 2.5 microns after absorbing enough water is about 4.0 microns. Based on this, in the implementation of the present disclosure, the upper limit of the particle size of the fine particle size segment is 2.5 microns.

[0052] In some embodiments, for the fine particle size segment particles of a specific component, it is determined by experimental measurement and data fitting that D threshold =Roundup(D basic ·e t·RH +2.5) The target particle size segment for calculating mass concentration is determined based on relative humidity. In the above formula, Roundup is used to characterize and determine D basic ·e t·RH +2.5 is the value of the larger particle size segment endpoint. For example, if D basic ·e t·RH+2.5, the value calculated is 2.9, and the two adjacent particle size segment endpoints are predetermined to be 2.5 and 3.0, so the value obtained by Roundup for selecting the adjacent value of 2.9 is 3.0. basic is the unit particle size, and t is the relative humidity adjustment coefficient, both of which are determined by experimental fitting.

[0053] In other embodiments, for fine particle size segments of other components, the correlation between other types of target particle size segments and relative humidity may be determined by data fitting.

[0054] S120: Correcting the monitored particle counts of each target particle size segment based on the relative humidity to obtain a corrected particle count.

[0055] After determining the target particle size segment, the monitored particle number of the target particle size segment can then be corrected based on the relative humidity to obtain a corrected particle number. In the disclosed embodiment, the ratio of the corrected particle number of each target particle size segment to the corresponding monitored particle number is inversely proportional to the relative humidity. That is, the higher the relative humidity, the smaller the ratio of the corrected particle number to the corresponding monitored particle number. This corresponds to the aforementioned situation that if the humidity is higher, the fine particle size particles absorb more water and the size is larger, and the corresponding fine particle size particles will be smaller after the conversion process that characterizes drying.

[0056] In one embodiment, it is possible to use The number of monitored particles in each target particle size segment is corrected to obtain the corrected particle number; where Pi is the number of monitored particles in the i-th target particle size segment, k i is the compensation coefficient corresponding to the i-th target particle size segment, RH is the relative humidity, Pr i is the number of corrected particles corresponding to the i-th target particle size segment. As analyzed above, the compensation coefficient k in the above formula is i It should be reflected that the ratio of the corrected particle number to the monitored particle number is inversely correlated with the relative humidity, so k i It should be a negative value, and its specific value needs to be determined based on experimental data fitting.

[0057] Through the aforementioned conversion, by correcting the monitored particle number of each target particle size segment, the corrected particle number obtained represents the overall volume characteristics of the monitored particles after dehydration (of course, it is not directly reflected here, but is reflected by reducing the particle number to obtain the corrected particle number).

[0058] S130: Determine the mass concentration of fine particulate matter in the target time period by performing weighted summation based on the corrected particle number of each target particle size segment and a preset mass concentration coefficient.

[0059] After obtaining the corrected particle number for each target particle size segment, the mass concentration of fine particulate matter in the target time period can be determined by performing a weighted summation based on the corrected particle number for each particle size segment and the corresponding mass concentration coefficient.

[0060] For example, in a specific application, you can use Calculate the mass concentration of fine particulate matter during the target period; where m0 is the unit mass concentration, c i is the mass concentration coefficient corresponding to the i-th target particle size segment, and Pi is the number of monitored particles in the i-th target particle size segment.

[0061] In one embodiment, the target particle size segment is 0-4.0 micron particle size segment, and is divided into 8 particle size segments, namely 0-0.3, 0.3-0.5, 0.5-0.8, 0.8-1.0, 1.0-1.5, 1.5-2.5, 2.5-3.0, and 3.0-4.0. The mass concentration coefficients corresponding to the above-mentioned particle size segments are 1, 21, 35, 48, 67, 107, 147, and 187, respectively.

[0062] According to the above analysis, the method for determining the mass concentration of fine particulate matter provided in the embodiment of the present disclosure first determines the target particle size segment for calculating the mass concentration according to the relative humidity, excludes the particle size segment that does not affect the mass concentration of fine particulate matter, and then corrects the number of monitored particles in each target particle size segment according to the relative humidity to obtain the corrected particle number, and determines the mass concentration of fine particulate matter in the target time period based on the corrected particle number. It is by excluding the particle size segment that does not affect the mass concentration of fine particulate matter that the difference between the mass concentration of fine particulate matter obtained in the embodiment of the present disclosure and the actual mass concentration is smaller, that is, the value of the calculated mass concentration is more accurate.

[0063] As analyzed above, in some embodiments of the present disclosure, the target time period is a period of minutes. Due to the diffusion characteristics of airborne suspended matter, the number of particles of a certain type of fine particle size segment determined in adjacent periods will not change much. If the above problem occurs in actual situations, it is most likely caused by accidental monitoring errors or system errors, and the number of particles in the target particle size segment monitored subsequently is not reliable.

[0064] To avoid the aforementioned problem, before executing the aforementioned S120, the following S140-S150 may also be executed.

[0065] S140: Determine the estimated mass concentration parameters of each target particle size segment based on the monitored particle number of each target particle size segment and a preset mass concentration coefficient, and determine the mass concentration proportion of each target particle size segment according to the estimated mass concentration parameters.

[0066] In the specific implementation, after obtaining the number of monitored particles in each target particle size segment, the m0c in the previous text can be used.i P i The estimated mass concentration parameters corresponding to each target particle size segment are obtained, and the estimated mass concentration parameters corresponding to all target particle size segments are added together to obtain the overall estimated mass concentration parameter. Subsequently, the estimated mass concentration parameter corresponding to each target particle size segment is divided by the overall estimated mass concentration parameter to obtain the corresponding mass concentration ratio.

[0067] S150: Calculate the difference between the mass concentration of each target particle size segment and the mass concentration ratio corresponding to the previous time period, and calculate the change ratio based on the difference.

[0068] The previous time period is the time period before the target time period. After obtaining the mass concentration ratio corresponding to each target particle size segment in the target time period, it is subtracted from the mass concentration ratio corresponding to the previous time period to obtain the mass concentration ratio difference. After obtaining the mass concentration ratio difference and dividing it with the mass concentration ratio corresponding to the current time period (or the mass concentration ratio in the previous period), the corresponding change ratio can be obtained.

[0069] In one embodiment, when executing the aforementioned S140-S150, the aforementioned S120 is specifically: when the change ratio corresponding to a target particle size segment is greater than the set ratio, the monitored particle number of a target particle size segment in the previous time period is used as the corrected monitored particle number of the target time period.

[0070] In another embodiment, when executing the aforementioned S140-S150, the aforementioned S120 specifically comprises: obtaining an average value of the number of monitored particles of a target particle size segment in the previous time period and the number of monitored particles in the target time period, and using the average value as the corrected monitored particle number.

[0071] That is to say, when it is determined that the particle number of a target particle size segment has changed too much relative to other target particle size segments, the embodiments of the present disclosure either use the monitored particle number of the aforementioned target particle size segment obtained in the previous time period as the corrected monitored particle number of the current time period, or use the average of the two values ​​as the corrected monitored particle number.

[0072] After obtaining the aforementioned improved monitored particle number, the monitored particle number of each target particle size segment is corrected based on the relative humidity in subsequent S120, including: when the change ratio corresponding to a target particle size segment is greater than the set ratio, the corrected monitored particle number is corrected based on the relative humidity.

[0073] As analyzed above, the target period is a minute period. In practical applications, the fine particulate matter mass concentration in the hour period is mostly counted. Accordingly, after determining the fine particulate matter mass concentration in the target period, the computing device will also calculate the average value of the fine particulate matter mass concentration obtained based on the target period and other minute periods within the hour period corresponding to the target period, and use the average value as the fine particulate matter mass concentration in the hour period.

[0074] In addition to providing the aforementioned method for determining the mass concentration of fine particulate matter, the embodiment of the present disclosure also provides a computing device. Figure 2 Schematic diagram of the structure of a computing device provided by an embodiment of the present disclosure. Figure 2 As shown, the computing device 200 provided by the embodiment of the present disclosure includes a processor 201 and a memory 202, and the memory 202 is used to store a computer program; when the computer program is loaded by the processor 201, the processor 201 executes the following method: obtaining the number of monitored particles and relative humidity of the fine particle size segment obtained by monitoring the environmental quality during the target period, and determining the target particle size segment for calculating the mass concentration according to the relative humidity, wherein the upper limit of the particle size of the target particle size segment is positively correlated with the relative humidity; correcting the number of monitored particles of each target particle size segment based on the relative humidity to obtain a corrected number of particles, wherein the ratio of the corrected number of particles of each target particle size segment to the corresponding number of monitored particles is inversely proportional to the relative humidity; and determining the mass concentration of fine particulate matter during the target period by weighted summation based on the corrected number of particles of each target particle size segment and a pre-set mass concentration coefficient.

[0075] In some embodiments, the processor 201 uses D threshold =Roundup(D basic ·e t·RH +2.5) to determine the target particle size segment for calculating mass concentration, where Roundup is used to characterize and determine D basic ·e t·RH +2.5 The value of the endpoint of the adjacent larger particle size segment, D basic is the unit particle size, and t is the relative humidity adjustment coefficient.

[0076] In some embodiments, the processor 201 uses The number of monitored particles in each target particle size segment is corrected to obtain the corrected particle number; where Pi is the number of monitored particles in the i-th target particle size segment, k i is the compensation coefficient corresponding to the i-th target particle size segment, RH is the relative humidity, Pr i is the corrected particle number corresponding to the i-th target particle size segment.

[0077] In some embodiments, the processor 201 uses Calculate the mass concentration of fine particulate matter during the target period; where m0 is the unit mass concentration, ci is the mass concentration coefficient corresponding to the i-th target particle size segment, and Pi is the number of monitored particles in the i-th target particle size segment.

[0078] In some embodiments, the processor 201 determines the estimated mass concentration parameters of each target particle size segment based on the monitored particle number of each target particle size segment and the preset mass concentration coefficient, and determines the mass concentration proportion of each target particle size segment according to the estimated mass concentration parameters; calculates the difference between the mass concentration of each target particle size segment and the mass concentration proportion corresponding to the previous time period, and calculates the change ratio based on the difference, where the previous time period is the previous adjacent time period of the target time period;

[0079] When the change ratio corresponding to a target particle size segment is greater than the set ratio, the number of monitored particles of the target particle size segment in the previous time period is used as the corrected number of monitored particles in the target time period, or the average of the number of monitored particles of the target particle size segment in the previous time period and the number of monitored particles in the target time period is calculated, and the average is used as the corrected number of monitored particles;

[0080] The monitored particle count of each target particle size segment is corrected based on the relative humidity, including: when a change ratio corresponding to a target particle size segment is greater than a set ratio, the corrected monitored particle count is corrected based on the relative humidity.

[0081] In some embodiments, the target time period is a minute time period; after determining the fine particle mass concentration of the target time period, the processor 201 calculates the average value of the fine particle mass concentration obtained based on the target time period and other minute time periods within the hour period corresponding to the target time period as the fine particle mass concentration of the hour period.

[0082] In some embodiments, the processor 201 obtains the number of monitored particles in the particle size segment below 4.0 microns obtained by monitoring environmental quality using a particle size mass spectrometer during the target time period, and determines the target particle size segment based on the relative humidity in the particle size segment below 4.0 microns.

[0083] The above are only specific embodiments of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the mass concentration of fine particulate matter, characterized in that: include: Obtaining the number of monitored particles and relative humidity of the fine particle size segment obtained by monitoring the environmental quality during the target period, and determining the target particle size segment for calculating the mass concentration according to the relative humidity, wherein the upper limit of the particle size of the target particle size segment is positively correlated with the relative humidity, and the upper limit of the particle size of the fine particle size segment is greater than 2.5 microns; Based on the relative humidity, the monitored particle count of each target particle size segment is corrected to obtain a corrected particle count, wherein the ratio of the corrected particle count of each target particle size segment to the corresponding monitored particle count is inversely proportional to the relative humidity; The mass concentration of fine particulate matter in the target time period is determined by weighted summation based on the corrected particle number of each target particle size segment and the pre-set mass concentration coefficient.

2. The determination method according to claim 1, characterized in that: The step of determining a target particle size segment for calculating mass concentration according to the relative humidity comprises: Adopt D threshold =Roundup(D basic ·e t·RH +2.5) to determine the target particle size segment for calculating mass concentration, where Roundup is used to characterize and determine D basic ·e t·RH +2.5 The value of the endpoint of the adjacent larger particle size segment, D basic is the unit particle size, RH is the relative humidity, and t is the relative humidity adjustment coefficient.

3. The determination method according to claim 1, characterized in that: The method of correcting the monitored particle count of each target particle size segment based on the relative humidity to obtain a corrected particle count includes: Using Pr i =Pn 1+kiRH Correcting the monitored particle counts of each target particle size segment to obtain the corrected particle counts; Where Pi is the number of monitored particles in the i-th target particle size segment, k i is the compensation coefficient corresponding to the i-th target particle size segment, RH is the relative humidity, Pr i is the corrected particle number corresponding to the i-th target particle size segment.

4. The determination method according to any one of claims 1 to 3, characterized in that: Based on the weighted sum of the corrected particle number of each target particle size segment and the pre-set mass concentration coefficient, the fine particulate matter mass concentration in the target period is determined, including: use Calculate the mass concentration of fine particulate matter during the target period; Where m0 is the unit mass concentration, c i is the mass concentration coefficient corresponding to the i-th target particle size segment, and Pi is the number of monitored particles in the i-th target particle size segment.

5. The determination method according to any one of claims 1 to 3, characterized in that: Before correcting the monitored particle counts of each target particle size segment based on the relative humidity, the method further includes: Determining an estimated mass concentration parameter of each target particle size segment based on the monitored particle number of each target particle size segment and the preset mass concentration coefficient, and determining a mass concentration proportion of each target particle size segment according to the estimated mass concentration parameter; Calculate the difference between the mass concentration of each target particle size segment and the mass concentration ratio corresponding to the previous time period, and calculate the change ratio based on the difference, wherein the previous time period is the previous and adjacent time period of the target time period; When the change ratio corresponding to a target particle size segment is greater than a set ratio, the number of monitored particles of the target particle size segment in the previous time period is used as the corrected number of monitored particles in the target time period, or the average value of the number of monitored particles of the target particle size segment in the previous time period and the number of monitored particles in the target time period is calculated, and the average value is used as the corrected number of monitored particles; The correcting the monitored particle count of each target particle size segment based on the relative humidity includes: when the change ratio corresponding to a target particle size segment is greater than a set ratio, correcting the corrected monitored particle count based on the relative humidity.

6. The determination method according to any one of claims 1 to 3, characterized in that: The target period is a minute period; After determining the fine particulate matter mass concentration of the target time period, the method further includes: calculating an average value of the fine particulate matter mass concentration obtained based on the target time period and other minute time periods within the hour period corresponding to the target time period as the fine particulate matter mass concentration of the hour period.

7. The determination method according to any one of claims 1 to 3, characterized in that: The method of obtaining the number of monitored particles in the fine particle size segment obtained by monitoring the environmental quality during the target period includes: Obtain the number of monitored particles in the particle size range below 4.0 microns obtained by monitoring environmental quality using a particle size mass spectrometer during the target period; Determining the target particle size segment for calculating the mass concentration according to the relative humidity includes: determining the target particle size segment according to the particle size segment below 4.0 microns according to the relative humidity.

8. A computing device, characterized in that The invention comprises a processor and a memory, wherein the memory is used to store a computer program; when the computer program is loaded by the processor, the processor executes the following method: Obtaining the number of monitored particles and relative humidity of the fine particle size segment obtained by monitoring the environmental quality during the target period, and determining the target particle size segment for calculating the mass concentration according to the relative humidity, wherein the upper limit of the particle size of the target particle size segment is positively correlated with the relative humidity; Based on the relative humidity, the monitored particle count of each target particle size segment is corrected to obtain a corrected particle count, wherein the ratio of the corrected particle count of each target particle size segment to the corresponding monitored particle count is inversely proportional to the relative humidity; The mass concentration of fine particulate matter in the target time period is determined by weighted summation based on the corrected particle number of each target particle size segment and the pre-set mass concentration coefficient.

9. The computing device according to claim 8, characterized in that The processor determines a target particle size segment for calculating mass concentration according to the relative humidity, comprising: Adopt D threshold =Roundup(D basic ·e t·RH +2.5) to determine the target particle size segment for calculating mass concentration, where Roundup is used to characterize and determine D basic ·e t·RH +2.5 The value of the endpoint of the adjacent larger particle size segment, D basic is the unit particle size, RH is the relative humidity, and t is the relative humidity adjustment coefficient.

10. The computing device according to claim 9, characterized in that The processor corrects the monitored particle count of each target particle size segment based on the relative humidity to obtain a corrected particle count, including: Using Pr i =Pn 1+kiRH Correcting the monitored particle counts of each target particle size segment to obtain the corrected particle counts; Where Pi is the number of monitored particles in the i-th target particle size segment, k i is the compensation coefficient corresponding to the i-th target particle size segment, RH is the relative humidity, Pr i is the corrected particle number corresponding to the i-th target particle size segment.

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