CN113720741A - Smoke concentration detection method and device, terminal equipment and medium - Google Patents
Smoke concentration detection method and device, terminal equipment and medium Download PDFInfo
- Publication number
- CN113720741A CN113720741A CN202110854626.9A CN202110854626A CN113720741A CN 113720741 A CN113720741 A CN 113720741A CN 202110854626 A CN202110854626 A CN 202110854626A CN 113720741 A CN113720741 A CN 113720741A
- Authority
- CN
- China
- Prior art keywords
- smoke
- concentration
- detected
- conversion coefficient
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000000779 smoke Substances 0.000 title claims abstract description 244
- 238000001514 detection method Methods 0.000 title claims abstract description 90
- 238000006243 chemical reaction Methods 0.000 claims abstract description 85
- 238000005259 measurement Methods 0.000 claims abstract description 80
- 239000002245 particle Substances 0.000 claims abstract description 58
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000003860 storage Methods 0.000 claims abstract description 14
- 239000004071 soot Substances 0.000 claims description 32
- 238000012937 correction Methods 0.000 claims description 30
- 238000000149 argon plasma sintering Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 abstract description 15
- 239000000428 dust Substances 0.000 description 69
- 238000010586 diagram Methods 0.000 description 8
- 238000004519 manufacturing process Methods 0.000 description 8
- 239000000443 aerosol Substances 0.000 description 6
- 238000004891 communication Methods 0.000 description 6
- 230000007613 environmental effect Effects 0.000 description 4
- 239000004793 Polystyrene Substances 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 239000004005 microsphere Substances 0.000 description 3
- 229920002223 polystyrene Polymers 0.000 description 3
- 241000209094 Oryza Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 230000032683 aging Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 239000013618 particulate matter Substances 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 235000009566 rice Nutrition 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000012824 chemical production Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000012798 spherical particle Substances 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000004056 waste incineration Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
Landscapes
- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Fire-Detection Mechanisms (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method and a device for detecting smoke concentration, terminal equipment and a storage medium, wherein scattered light signals of smoke to be detected are obtained through the terminal equipment; determining the optimal concentration conversion coefficient corresponding to the smoke to be detected; and analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the smoke to be detected. Therefore, the smoke concentration detection method provided by the invention determines the corresponding optimal concentration conversion coefficient aiming at different smoke to be detected, so that the measurement error generated by the measurement result due to the particle size difference of the smoke to be detected can be reduced, the smoke concentration detection accuracy is improved, and the current environment monitoring requirement is met.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a method and a device for detecting smoke concentration, terminal equipment and a storage medium.
Background
On-line monitoring of soot concentration is a ubiquitous need. The national environmental protection act specifies: the enterprises need to install smoke dust online monitoring equipment to monitor the smoke dust emission concentration in real time, wherein the smoke dust online monitoring equipment is used for monitoring the smoke dust emission concentration in the process flow of thermal power generation, steel processing, metallurgy, ceramic manufacturing, waste incineration, chemical production and the like.
In China, the smoke online monitoring equipment which is used in large quantity at present is an in-situ backward light scattering smoke instrument and an extraction type forward light scattering smoke instrument. The former is suitable for dry smoke and high-concentration (more than 50mg/m3) pollution source sites, however, with the use of ultra-low emission reconstruction equipment, a large amount of water vapor is mixed in the smoke, and the emission concentration of the smoke dust is greatly reduced to be lower than 10mg/m3 after the production equipment is provided with a dust remover, so that the original position type backscatter smoke dust instrument is difficult to meet the requirement of current environmental monitoring; for the latter, the smoke concentration is mainly measured by adopting a 45-degree forward angle measurement smoke concentration mode, however, in the actual production, due to factors such as fuel, production raw materials, equipment aging and working condition adjustment, the characteristics of the smoke discharged in the production process can change, and the smoke concentration measurement result has larger errors.
On the basis, a smoke concentration detection method is needed to be provided, so that the accuracy of smoke concentration detection is improved, and the current environment monitoring requirement is met.
Disclosure of Invention
The invention mainly aims to provide a method and a device for detecting smoke concentration, a terminal device and a storage medium, aiming at improving the accuracy of smoke concentration detection so as to meet the requirement of current environment monitoring.
In order to achieve the above object, the present invention provides a smoke concentration detection method, which is applied to a light scattering smoke instrument, and comprises the following steps:
acquiring a scattered light signal of the smoke to be detected;
determining the optimal concentration conversion coefficient corresponding to the smoke to be detected;
and analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the smoke to be detected.
Further, the step of determining the optimal concentration conversion coefficient corresponding to the smoke to be detected comprises:
determining a main measuring angle and an auxiliary measuring angle;
and determining the optimal concentration conversion coefficient according to the main measurement angle and the auxiliary measurement angle.
Further, the step of determining the optimal concentration conversion coefficient according to the main measurement angle and the auxiliary measurement angle includes:
detecting multiple preset smoke dusts to determine a contrast parameter obtained by detecting the preset smoke dusts in the main measuring angle and the auxiliary measuring angle;
establishing a preset database according to the comparison parameters;
and determining the optimal concentration conversion coefficient according to the preset database.
Further, the comparison parameters comprise a standard relative light intensity ratio and a standard optimal concentration conversion coefficient, the preset database comprises a first preset database and a second preset database,
the step of detecting a plurality of preset smoke dusts to determine the contrast parameters of the preset smoke dusts detected in the main measurement angle and the auxiliary measurement angle comprises the following steps:
detecting various preset smoke dust to obtain a standard relative light intensity ratio and a standard optimal concentration conversion coefficient;
the step of establishing a preset database according to the comparison parameters comprises the following steps:
establishing the first preset database according to the standard relative light intensity ratio;
and establishing the second preset database according to the standard optimal concentration conversion coefficient.
Further, the step of determining the optimal concentration conversion coefficient according to the preset database includes:
acquiring the relative light intensity ratio of the smoke to be detected;
analyzing the relative light intensity ratio and the first preset database to determine the property parameters of the smoke to be detected;
and analyzing the property parameters and the second preset database to determine the optimal concentration conversion coefficient corresponding to the smoke to be detected.
Further, after the step of analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the soot to be detected, the method comprises:
determining a detection correction parameter;
and analyzing the first concentration and the detection correction parameter to determine a second concentration of the smoke to be detected.
Further, the step of determining the detection correction parameter includes:
detecting preset particles to obtain scattered light signals of the preset particles;
and determining the detection correction parameters aiming at the scattered light signals of the preset particles.
In addition, in order to achieve the above object, the present invention further provides a smoke concentration detection apparatus, which is applied to a light scattering smoke detector, the smoke concentration detection apparatus including:
the acquisition module is used for acquiring a scattered light signal of the smoke to be detected;
the determining module is used for determining the optimal concentration conversion coefficient corresponding to the smoke to be detected;
and the analysis module is used for analyzing the optimal concentration conversion coefficient and the scattered light signal so as to determine the first concentration of the smoke to be detected.
The functional modules of the smoke concentration detection device of the invention realize the steps of the smoke concentration detection method when in operation.
In addition, to achieve the above object, the present invention also provides a terminal device, including: the detection method comprises a memory, a processor and a smoke concentration detection program which is stored on the memory and can run on the processor, wherein the detection program of the smoke concentration realizes the steps of the detection method of the smoke concentration as the above steps when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a storage medium having a computer program stored thereon, the computer program, when being executed by a processor, implementing the steps of the method for detecting soot concentration as described above.
Furthermore, an embodiment of the present invention further provides a computer program product, which includes a smoke concentration detection program, and when the detection program is executed by a processor, the steps of the smoke concentration detection method described above are implemented.
The steps implemented when the detection program for detecting the smoke concentration running on the processor is executed may refer to various embodiments of the detection method for detecting the smoke concentration of the present invention, and are not described herein again.
According to the detection method, the detection device, the terminal equipment and the storage medium for the smoke concentration, the scattered light signals of the smoke to be detected are obtained through the light scattering smoke instrument; determining the optimal concentration conversion coefficient corresponding to the smoke to be detected; and analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the smoke to be detected.
When the concentration of the smoke dust to be detected is detected by a light scattering smoke dust instrument, the smoke dust to be detected is introduced into a system for measurement so as to obtain a scattered light signal of the smoke dust to be detected, then based on the measurement principle M of a forward light scattering smoke dust instrument being K I, the optimal concentration conversion coefficient K value corresponding to the smoke dust to be detected in a concentration measurement formula is determined, finally, the optimal concentration conversion coefficient K value and the scattered light signal corresponding to the smoke dust to be detected are analyzed, and the first concentration of the smoke dust to be detected is obtained according to the measurement principle M of the forward light scattering smoke dust instrument being K I.
Therefore, the smoke concentration detection method provided by the invention determines the corresponding optimal concentration conversion coefficient aiming at different smoke to be detected, so that the measurement error generated by the measurement result due to the particle size difference of the smoke to be detected can be reduced, the smoke concentration detection accuracy is improved, and the current environment monitoring requirement is met.
Drawings
Fig. 1 is a schematic structural diagram of a hardware operating environment of a terminal device according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an embodiment of a method for detecting smoke concentration according to the present invention;
FIG. 3 is a schematic diagram of a calculation flow of the classical rice scattering principle;
FIG. 4 is a schematic diagram showing the distribution of scattered light signals when smoke is detected from a plurality of different scattering angles;
FIG. 5 is a diagram of a first predetermined database according to an embodiment of the method for detecting smoke concentration of the present invention;
FIG. 6 is a diagram of a second predetermined database according to an embodiment of the method for detecting smoke concentration of the present invention;
fig. 7 is a schematic block diagram of a smoke concentration detection apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a hardware operating environment related to a terminal device according to an embodiment of the present invention.
It should be noted that fig. 1 is a schematic structural diagram of a hardware operating environment of the terminal device. The terminal equipment of the embodiment of the invention can be a light scattering smoke dust instrument.
As shown in fig. 1, the terminal device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal device configuration shown in fig. 1 is not intended to be limiting of the terminal device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a distributed task processing program. Among them, the operating system is a program that manages and controls the hardware and software resources of the sample terminal device, a handler that supports distributed tasks, and the execution of other software or programs.
In the terminal apparatus shown in fig. 1, the user interface 1003 is mainly used for data communication with each terminal; the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; and the processor 1001 may be configured to call the detection program of the soot concentration stored in the memory 1005, and perform the following operations:
acquiring a scattered light signal of the smoke to be detected;
determining the optimal concentration conversion coefficient corresponding to the smoke to be detected;
and analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the smoke to be detected.
Further, the processor 1001 may call the detection program of the smoke concentration stored in the memory 1005, and also perform the following operations:
determining a main measuring angle and an auxiliary measuring angle;
and determining the optimal concentration conversion coefficient according to the main measurement angle and the auxiliary measurement angle.
Further, the processor 1001 may call the detection program of the smoke concentration stored in the memory 1005, and also perform the following operations:
detecting multiple preset smoke dusts to determine a contrast parameter obtained by detecting the preset smoke dusts in the main measuring angle and the auxiliary measuring angle;
establishing a preset database according to the comparison parameters;
and determining the optimal concentration conversion coefficient according to the preset database.
Further, the comparison parameters include a standard relative light intensity ratio and a standard optimal concentration conversion coefficient, the preset database includes a first preset database and a second preset database, and the processor 1001 may call the detection program of the soot concentration stored in the memory 1005, and further perform the following operations:
establishing the first preset database according to the standard relative light intensity ratio;
and establishing the second preset database according to the standard optimal concentration conversion coefficient.
Further, the processor 1001 may call the detection program of the smoke concentration stored in the memory 1005, and also perform the following operations:
acquiring the relative light intensity ratio of the smoke to be detected;
analyzing the relative light intensity ratio and the first preset database to determine the property parameters of the smoke to be detected;
and analyzing the property parameters and the second preset database to determine the optimal concentration conversion coefficient corresponding to the smoke to be detected.
Further, the processor 1001 may call a detection program of the soot concentration stored in the memory 1005, and after the step of analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the soot to be detected, further perform the following operations:
determining a detection correction parameter;
and analyzing the first concentration and the detection correction parameter to determine a second concentration of the smoke to be detected.
Further, the processor 1001 may call the detection program of the smoke concentration stored in the memory 1005, and also perform the following operations:
detecting preset particles to obtain scattered light signals of the preset particles;
and determining the detection correction parameters aiming at the scattered light signals of the preset particles.
Based on the above structure, various embodiments of the smoke concentration detection method of the present invention are proposed.
It should be noted that, in the actual production, the characteristics of the smoke discharged in the production process may change due to factors such as fuel, raw materials for production, equipment aging, and working condition adjustment. When the characteristics of the smoke dust change, if the concentration conversion coefficient K value corresponding to the smoke dust to be detected in the smoke dust concentration measurement principle M is not corrected in time, a larger error can occur in the measurement result of the smoke dust concentration. Taking the case that the concentration of the smoke dust is measured by adopting a forward angle of 45 degrees as an example in the current mainstream, the scattering light intensity difference of the smoke dust particles with the same concentration is very large when the particle sizes of the smoke dust are different; wherein, in the range of target measurement particle size range 0.2 um-10 um, the maximum and minimum light intensity phase difference is as much as 100 times, which explains the reason that the light scattering method smoke dust instrument has larger error in actual use in principle. Therefore, in the use process of the smoke dust instrument adopting the light scattering method, the smoke dust instrument needs to be regularly compared with a manual weighing standard method to obtain a correct concentration conversion coefficient K, and the measuring result can be ensured to meet the requirement. However, frequent comparison work brings great workload and working pressure to users and the environmental protection bureau, and is difficult to meet the current requirements of the current industry, and therefore, how to improve the accuracy and the adaptability of the soot concentration measurement by the light scattering method becomes a key and difficult point.
On the basis, a smoke concentration detection method is needed to be provided, so that the accuracy of smoke concentration detection is improved, and the current environment monitoring requirement is met.
Based on the above phenomena, embodiments of the smoke concentration detection method of the present invention are proposed. It should be noted that, although a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown or described herein.
The first embodiment: referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the smoke concentration detection method according to the present invention. The invention provides a smoke concentration detection method, which is applied to a light scattering smoke instrument and comprises the following steps:
and S100, acquiring a scattered light signal of the smoke to be detected.
And the terminal equipment detects the smoke dust to be detected so as to obtain a scattered light signal corresponding to the smoke dust to be detected.
Specifically, for example, the terminal device detects the smoke to be detected from the main measurement angle of 3 degrees to obtain a scattered light signal V of the smoke to be detected3。
And S200, determining the optimal concentration conversion coefficient corresponding to the smoke to be detected.
It should be noted that, in the present embodiment, when the particle size and the refractive index of the soot to be detected change, the corresponding concentration conversion coefficient of the soot to be detected also changes in the principle of concentration measurement.
And the terminal equipment detects the smoke dust to be detected to obtain a detection result, and analyzes the detection result to determine the optimal concentration conversion coefficient corresponding to the smoke dust to be detected.
Further, in a possible embodiment, the step S200 includes:
step S201, determining a main measurement angle and an auxiliary measurement angle.
It should be noted that, at present, the smoke concentration is measured by using a forward angle of 45 degrees, however, in the measurement process, even if the smoke particles with the same concentration are measured, when the particle sizes of the smoke are different, the scattering light intensity difference generated by the smoke particles is very large; wherein, in the range of 0.2 um-10 um of target measurement particle size interval, the biggest minimum light intensity phase difference reaches more than 100 times, consequently leads to adopting 45 degrees forward angle to measure the mode of smoke concentration and has great error. According to the classical rice scattering principle, the scattered light intensity of a single spherical particle is jointly determined by four parameters, namely a scattering angle, incident light wavelength, particle diameter and particle refractive index, so that when an incident light source is unchanged, a proper detection angle is selected, and the fluctuation of the scattered light intensity caused by the particle size and refractive index change of the particle is reduced. Therefore, the selection of the proper detection angle has important significance for the measurement of the smoke concentration.
The terminal equipment determines a main measurement angle and an auxiliary measurement angle for smoke concentration detection through experiments.
Specifically, for example, as shown in fig. 4, according to the meter scattering principle, the scattering light intensity distribution of smoke measurement under different scattering angles, particle sizes and refractive indexes is calculated by terminal equipment traversal, and the result shows that by adopting the near-forward small-angle measurement, the scattering light intensity fluctuation caused by the particle size change can be reduced to the maximum extent, wherein the scattering light intensity fluctuation is optimal particularly around an angle of 3 °. When the measuring method is used for measuring at an angle of 3 degrees, when the particle size of the smoke dust is changed from 0.2um to 10um, the difference between the maximum value and the minimum value of the scattering light intensity is about 3 times, and compared with a 45-degree angle adopted by a main stream, the adaptability and the accuracy of the measuring method for the concentration of the smoke dust at the angle of 3 degrees are greatly improved, and the deviation of the measuring result caused by the change of the particle size of the smoke dust can be obviously reduced. In addition, when the soot concentration is measured at an angle of 65 °, the deviation of the measurement result due to the change in the soot particle size is also lower than that at other angles, and therefore, in this embodiment, an angle of 3 ° is used as the main measurement angle for monitoring the soot concentration, and an angle of 65 ° is used as the auxiliary measurement angle.
Step S202, determining the optimal concentration conversion coefficient according to the main measurement angle and the auxiliary measurement angle.
After the main measurement angle and the auxiliary measurement angle are determined, the terminal equipment detects the smoke to be detected according to the main measurement angle and the auxiliary measurement angle, and determines the optimal concentration conversion coefficient corresponding to the smoke to be detected according to the detection result.
Specifically, for example, after determining an angle of 3 ° as a main measurement angle for monitoring the smoke concentration and an angle of 65 ° as an auxiliary measurement angle, the terminal device detects the smoke to be detected according to the main measurement angle of 3 ° and the auxiliary measurement angle of 65 °, and forms the obtained detection result into a data pair, and dynamically matches the optimal concentration conversion coefficient K value in real time.
Further, in a possible embodiment, the step S202 includes:
step S2021, detecting multiple kinds of preset smoke dust to determine comparison parameters of the preset smoke dust detected in the main measurement angle and the auxiliary measurement angle.
It should be noted that, in this embodiment, the preset smoke is smoke with known particle size and refractive index, and the reference parameter is a standard relative light intensity ratio and a standard optimal concentration conversion coefficient obtained according to a detection result after the preset smoke is detected.
The terminal equipment detects the smoke with various known particle sizes and refractive indexes respectively through the main measurement angle and the auxiliary measurement angle, and accordingly contrast parameters corresponding to preset smoke are obtained.
Specifically, for example, the terminal device detects smoke dust with particle size of 0.2016um and refractive index of 1.59 through a main measurement angle of 3 ° and an auxiliary measurement angle of 65 ° respectively to obtain a standard relative light intensity ratio 0.1538 and a standard optimal concentration conversion coefficient 1.9763; the smoke dust with the particle size of 0.2664um and the refractive index of 1.59 is respectively detected by a main measuring angle of 3 degrees and an auxiliary measuring angle of 65 degrees, so that a standard relative light intensity ratio of 0.1835 and a standard optimal concentration conversion coefficient of 0.8684 are obtained; and (3) detecting smoke dust with the particle size of 0.3521um and the refractive index of 1.59 respectively through a main measurement angle of 3 degrees and an auxiliary measurement angle of 65 degrees to obtain a standard relative light intensity ratio of 0.2441 and a standard optimal concentration conversion coefficient of 0.4018.
Step S2022, establishing a preset database according to the comparison parameters.
It should be noted that the preset database is a database that statistically integrates the comparison parameters.
The terminal equipment respectively detects various smoke dust with known particle size and refractive index through a main measuring angle and an auxiliary measuring angle to obtain comparison parameters, and the comparison parameters are counted and integrated to form a preset database.
Step S2023, determining the optimal concentration conversion coefficient according to the preset database.
And the terminal equipment detects the smoke to be detected according to the main measurement angle and the auxiliary measurement angle, and analyzes and compares the detection result with a preset database to obtain the optimal concentration conversion coefficient corresponding to the smoke to be detected.
Further, in a possible embodiment, the comparison parameters include a standard relative light intensity ratio and a standard optimal concentration conversion coefficient, the preset database includes a first preset database and a second preset database, and the step S2022 includes:
step S20221, building the first preset database according to the standard relative light intensity ratio.
It should be noted that, in the present embodiment, the first predetermined database is a database for statistically integrating the standard relative light intensity ratio.
After the terminal equipment obtains the standard relative light intensity ratio corresponding to the preset smoke dust, the standard relative light intensity ratio is counted and integrated to form a first preset database.
Specifically, for example, as shown in fig. 5, the terminal device statistically integrates "particle size 0.2016um, refractive index 1.59, standard relative light intensity ratio 0.1538", "particle size 0.2664um, refractive index 1.59, standard relative light intensity ratio 0.1835", "sum" particle size 0.3521um, refractive index 1.59, standard relative light intensity ratio 0.2441 ", and" three sets of data to form database 1.
Step S20222, establishing the second preset database according to the standard optimal concentration conversion coefficient.
It should be noted that, in this embodiment, the first predetermined database is a database for statistically integrating the standard optimal concentration conversion coefficients.
And after the terminal equipment acquires the standard optimal concentration conversion coefficient corresponding to the preset smoke dust, the standard optimal concentration conversion coefficient is subjected to statistical integration to form a second preset database.
Specifically, for example, as shown in fig. 6, the terminal device statistically integrates three sets of data, that is, "particle size 0.2016um, refractive index 1.59, and standard optimum concentration conversion coefficient 1.9763", "particle size 0.2664um, refractive index 1.59, standard optimum concentration conversion coefficient 0.8684", and "particle size 0.3521um, refractive index 1.59, and standard optimum concentration conversion coefficient 0.4018", to form the database 2.
Further, in a possible embodiment, the step S2023 includes:
step S20231, obtaining the relative light intensity ratio of the smoke to be detected.
The terminal equipment detects the smoke to be detected respectively through the main measuring angle and the auxiliary measuring angle, and obtains the relative light intensity ratio of the smoke to be detected.
Specifically, for example, the terminal device detects the smoke to be detected by the main measurement angle of 3 ° and the auxiliary measurement angle of 65 ° respectively to obtain a main scattered light signal generated by detecting the smoke to be detected in the main measurement angle of 3 °, and an auxiliary scattered light signal generated by detecting the smoke to be detected in the main measurement angle of 65 °, and analyzes the main scattered light signal and the auxiliary scattered light signal to obtain a relative light intensity ratio corresponding to the smoke to be detected.
Step S20232, analyzing the relative light intensity ratio and the first preset database, and determining the property parameters of the soot to be detected.
It should be noted that, in this embodiment, the property parameters of the soot to be detected include the particle size and the refractive index of the soot to be detected.
After the terminal equipment determines the relative light intensity ratio corresponding to the smoke and dust to be detected, the relative light intensity ratio is compared and analyzed with the first preset database, and therefore the particle size and the refractive index of the smoke and dust to be detected are determined.
Specifically, for example, after determining that the relative light intensity ratio of the soot to be detected is 0.1538, the terminal device analyzes and compares the value of "relative light intensity ratio 0.1538" with the database 1 for statistical integration standard relative light intensity ratio, thereby determining that the property parameters of the soot to be detected include the particle size 0.2016um and the refractive index 1.59.
Step S20233, analyzing the property parameters and the second preset database, and determining an optimal concentration conversion coefficient corresponding to the smoke to be detected.
And after determining the particle size and the refractive index corresponding to the smoke dust to be detected, the terminal equipment compares the particle size and the refractive index with a second preset database for analysis, so that the optimal concentration conversion coefficient corresponding to the smoke dust to be detected is determined.
Specifically, for example, after determining that the property parameters of the soot to be detected include a particle size of 0.2016um and a refractive index of 1.59, the terminal device analyzes and compares the value of 0.2016um and the refractive index of 1.59 with the database 2 for statistical integration standard optimal concentration conversion coefficient, thereby determining that the optimal concentration conversion coefficient of the soot to be detected is 1.9763.
Step S300, analyzing the optimal concentration conversion coefficient and the scattered light signal to determine a first concentration of the smoke to be detected.
And after confirming the optimal concentration conversion coefficient and the scattered light signal of the smoke dust to be detected, the terminal equipment carries out analysis and calculation according to the concentration measurement principle, thereby determining the first concentration of the smoke dust to be detected.
Specifically, for example, the terminal device confirms that the optimum concentration conversion coefficient of the soot to be detected is K1The scattered light signal is V3Then, according to the concentration measurement principle
M＝K*I
Wherein, M is the smoke concentration;
k is the concentration conversion coefficient;
i-scattered light signal.
The concentration M corresponding to the smoke to be detected can be obtained.
In the embodiment, the smoke to be detected is detected through the terminal equipment so as to obtain a scattered light signal corresponding to the smoke to be detected; analyzing the scattered light signals of the smoke dust to be detected to determine the optimal concentration conversion coefficient corresponding to the smoke dust to be detected; and after the optimal concentration conversion coefficient and the scattered light signal of the smoke to be detected are confirmed, carrying out analysis and calculation according to a concentration measurement principle, thereby determining the first concentration of the smoke to be detected.
The method comprises the steps of introducing smoke dust to be detected into a system, measuring the smoke dust through a light scattering smoke dust instrument to obtain a scattered light signal of the smoke dust to be detected, determining an optimal concentration conversion coefficient K value corresponding to the smoke dust to be detected in a concentration measurement formula based on a forward light scattering smoke dust instrument measurement principle M & ltk & gtI, finally analyzing the optimal concentration conversion coefficient K value and the scattered light signal corresponding to the smoke dust to be detected, and obtaining a first concentration of the smoke dust to be detected according to the forward light scattering smoke dust instrument measurement principle M & ltk & gtI.
Therefore, the smoke concentration detection method provided by the invention determines the corresponding optimal concentration conversion coefficient aiming at different smoke to be detected, so that the measurement error generated by the measurement result due to the particle size difference of the smoke to be detected can be reduced, the smoke concentration detection accuracy is improved, and the current environment monitoring requirement is met.
Further, a second embodiment of the smoke concentration detection method of the present invention is proposed based on the above-described first embodiment of the smoke concentration detection method.
In the second embodiment of the smoke concentration detection method of the present invention, after the above step S300, the method may include:
and step S400, determining detection correction parameters.
It should be noted that, in this embodiment, the detection correction parameter is used to correct the first concentration obtained by detecting the concentration to be detected, so as to overcome the machine error caused by the terminal device used for detection.
The terminal device determines a detection correction parameter for correcting the first concentration against the machine error.
Further, in an embodiment, the step S400 may include:
step S401, detecting preset particles to obtain scattered light signals of the preset particles.
It should be noted that, in the present embodiment, the predetermined particulate matter is standard aerosol particulate matter with known concentration, particle size and refractive index.
The terminal equipment obtains a scattered light signal of standard aerosol particles with known concentration, particle size and refractive index.
Specifically, for example, the terminal device has a main measurement angle of 3 ° versus a concentration of 1mg/m3, a particle diameter of 0.5um, and a refractive index m of 1.59Detecting the standard polystyrene microsphere aerosol to obtain a scattered light signal V corresponding to the standard polystyrene microsphere aerosol1。
Step S402 of determining the detection correction parameter for the scattered light signal.
And the terminal equipment determines detection correction parameters for overcoming machine errors and correcting the first concentration according to the scattered light signals of the standard aerosol particles.
Specifically, for example, the terminal equipment determines that the scattering light signal corresponding to standard polystyrene microsphere aerosol with the concentration of 1mg/m3, the particle diameter of 0.5um and the refractive index m of 1.59 is V1Then, V is put1As a detection correction parameter for correcting the first concentration against machine errors.
And S500, analyzing the first concentration and the detection correction parameter to determine a second concentration of the smoke to be detected.
And after the terminal equipment determines the first concentration corresponding to the smoke dust to be detected and the detection correction parameter for overcoming the machine error and correcting the first concentration, correcting the first concentration through the detection correction parameter so as to obtain the second concentration of the smoke dust to be detected.
Specifically, for example, the terminal device determines the first concentration M corresponding to the smoke to be detected1And the detection correction parameter for correcting the first concentration against the machine error is V1Then, by correcting the formula M2＝M1/V1Thereby obtaining a second concentration M of the soot to be detected2。
In the embodiment, a detection correction parameter for overcoming the machine error and correcting the first concentration is determined by the terminal equipment; after determining a first concentration corresponding to the smoke dust to be detected and a detection correction parameter for overcoming machine errors and correcting the first concentration, correcting the first concentration through the detection correction parameter to obtain a second concentration of the smoke dust to be detected.
Therefore, the situation that the concentration detection result of the smoke dust to be detected is influenced by machine errors caused by differences of terminal equipment for detecting the smoke dust to be detected is avoided; therefore, the detection correction coefficient is introduced to correct the concentration of the smoke dust to be detected, which is determined according to the concentration measurement principle, so that the accuracy and the practicability of the detection method of the smoke dust concentration can be improved.
In addition, referring to fig. 7, an embodiment of the invention further provides a smoke concentration detection apparatus, including:
the acquisition module is used for acquiring a scattered light signal of the smoke to be detected;
the determining module is used for determining the optimal concentration conversion coefficient corresponding to the smoke to be detected;
and the analysis module is used for analyzing the optimal concentration conversion coefficient and the scattered light signal so as to determine the first concentration of the smoke to be detected.
Preferably, the determining module comprises:
the first determination module is used for determining a main measurement angle and an auxiliary measurement angle;
and the second determination module is used for determining the optimal concentration conversion coefficient according to the main measurement angle and the auxiliary measurement angle.
Preferably, the second determining module includes:
the detection unit is used for detecting a plurality of preset smoke dusts so as to determine comparison parameters obtained by detecting the preset smoke dusts in the main measurement angle and the auxiliary measurement angle;
the establishing unit is used for establishing a preset database according to the comparison parameters;
and the first determining unit is used for determining the optimal concentration conversion coefficient according to the preset database.
Preferably, the comparison parameters include a standard relative light intensity ratio and a standard optimal concentration conversion coefficient, the preset database includes a first preset database and a second preset database, and the detection unit includes:
the first detection unit is used for detecting various preset smoke dust so as to obtain a standard relative light intensity ratio and a standard optimal concentration conversion coefficient;
preferably, the establishing unit includes:
the first establishing unit is used for establishing the first preset database according to the standard relative light intensity ratio;
and the second establishing unit is used for establishing the second preset database according to the standard optimal concentration conversion coefficient.
Preferably, the analysis module comprises:
the acquisition unit is used for acquiring the relative light intensity ratio of the smoke to be detected;
the first analysis unit is used for analyzing the relative light intensity ratio and the first preset database and determining the property parameters of the smoke to be detected;
and the second analysis unit is used for analyzing the property parameters and the second preset database and determining the optimal concentration conversion coefficient corresponding to the smoke to be detected.
Preferably, the smoke concentration detection device further includes:
the correction module is used for determining detection correction parameters;
preferably, the analysis module further comprises:
and the third analysis unit is used for analyzing the first concentration and the detection correction parameter and determining the second concentration of the smoke to be detected.
Preferably, the correction module comprises:
the second determining unit is used for detecting preset particles to obtain scattered light signals of the preset particles; and determining the detection correction parameters according to the scattered light signals of the preset particles
In addition, an embodiment of the present invention further provides a terminal device, where the terminal device includes: the detection method comprises a memory, a processor and a smoke concentration detection program which is stored on the memory and can run on the processor, wherein the smoke concentration detection program realizes the steps of the smoke concentration detection method in the above way when being executed by the processor.
The steps implemented when the detection program for detecting the smoke concentration running on the processor is executed may refer to various embodiments of the detection method for detecting the smoke concentration of the present invention, and are not described herein again.
Furthermore, an embodiment of the present invention further provides a storage medium applied to a computer, where the storage medium may be a non-volatile computer-readable storage medium, and the storage medium stores a smoke concentration detection program, and the smoke concentration detection program implements the steps of the smoke concentration detection method described above when executed by a processor.
The steps implemented when the detection program for detecting the smoke concentration running on the processor is executed may refer to various embodiments of the detection method for detecting the smoke concentration of the present invention, and are not described herein again.
Furthermore, an embodiment of the present invention further provides a computer program product, which includes a smoke concentration detection program, and when the detection program is executed by a processor, the steps of the smoke concentration detection method described above are implemented.
The steps implemented when the detection program for detecting the smoke concentration running on the processor is executed may refer to various embodiments of the detection method for detecting the smoke concentration of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling an intelligent express cabinet to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The method for detecting the smoke concentration is applied to a light scattering smoke instrument and comprises the following steps:
acquiring a scattered light signal of the smoke to be detected;
determining the optimal concentration conversion coefficient corresponding to the smoke to be detected;
and analyzing the optimal concentration conversion coefficient and the scattered light signal to determine the first concentration of the smoke to be detected.
2. The method for detecting soot concentration according to claim 1, wherein said step of determining an optimal concentration conversion coefficient corresponding to the soot to be detected comprises:
determining a main measuring angle and an auxiliary measuring angle;
and determining the optimal concentration conversion coefficient according to the main measurement angle and the auxiliary measurement angle.
3. The soot concentration detection method according to claim 2, wherein said step of determining said optimum concentration conversion coefficient based on said main measurement angle and said auxiliary measurement angle comprises:
detecting multiple preset smoke dusts to determine a contrast parameter obtained by detecting the preset smoke dusts in the main measuring angle and the auxiliary measuring angle;
establishing a preset database according to the comparison parameters;
and determining the optimal concentration conversion coefficient according to the preset database.
4. The method according to claim 3, wherein the control parameters comprise: the standard relative light intensity ratio and the standard optimal concentration conversion coefficient, wherein the preset database comprises: a first preset database and a second preset database,
the step of establishing a preset database according to the comparison parameters comprises the following steps:
establishing the first preset database according to the standard relative light intensity ratio;
and establishing the second preset database according to the standard optimal concentration conversion coefficient.
5. The soot concentration detection method according to claim 4, wherein said step of determining said optimum concentration conversion coefficient based on said preset database comprises:
acquiring the relative light intensity ratio of the smoke to be detected;
analyzing the relative light intensity ratio and the first preset database to determine the property parameters of the smoke to be detected;
and analyzing the property parameters and the second preset database to determine the optimal concentration conversion coefficient corresponding to the smoke to be detected.
6. The method of claim 1, wherein after said step of analyzing said optimal concentration conversion factor and said scattered light signal to determine a first concentration of said soot to be detected, comprising:
determining a detection correction parameter;
and analyzing the first concentration and the detection correction parameter to determine a second concentration of the smoke to be detected.
7. The soot concentration detection method according to claim 6, wherein said step of determining a detection correction parameter includes:
detecting preset particles to obtain scattered light signals of the preset particles;
and determining the detection correction parameters aiming at the scattered light signals of the preset particles.
8. A smoke concentration detection device is applied to a light scattering smoke instrument, and comprises:
the acquisition module is used for acquiring a scattered light signal of the smoke to be detected;
the determining module is used for determining the optimal concentration conversion coefficient corresponding to the smoke to be detected;
and the analysis module is used for analyzing the optimal concentration conversion coefficient and the scattered light signal so as to determine the first concentration of the smoke to be detected.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a detection program of soot concentration stored on the memory and executable on the processor, the detection program of soot concentration implementing the steps of the detection method of soot concentration as claimed in any one of claims 1 to 7 when executed by the processor.
10. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the detection method of soot concentration according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110854626.9A CN113720741B (en) | 2021-07-27 | 2021-07-27 | Method and device for detecting smoke concentration, terminal equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110854626.9A CN113720741B (en) | 2021-07-27 | 2021-07-27 | Method and device for detecting smoke concentration, terminal equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113720741A true CN113720741A (en) | 2021-11-30 |
| CN113720741B CN113720741B (en) | 2024-08-23 |
Family
ID=78674126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110854626.9A Active CN113720741B (en) | 2021-07-27 | 2021-07-27 | Method and device for detecting smoke concentration, terminal equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113720741B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114626580A (en) * | 2022-02-25 | 2022-06-14 | 湖北盛际科技有限公司 | A method and system for predicting dust concentration in construction sites |
| CN119827368A (en) * | 2025-03-20 | 2025-04-15 | 浙江省环保集团生态环保研究院有限公司 | Dust on-line detection method and system based on laser |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4735504A (en) * | 1983-10-31 | 1988-04-05 | Technicon Instruments Corporation | Method and apparatus for determining the volume & index of refraction of particles |
| CN2365712Y (en) * | 1998-12-21 | 2000-02-23 | 北京市新技术应用研究所 | Portable microcomputer digital dust instrument |
| US20090079981A1 (en) * | 2007-09-24 | 2009-03-26 | Process Metrix | Laser-based apparatus and method for measuring agglomerate concentration and mean agglomerate size |
| CN104865173A (en) * | 2014-02-21 | 2015-08-26 | 上海市七宝中学 | Light scattering-based particulate matter concentration detection device |
| CN107941666A (en) * | 2017-10-30 | 2018-04-20 | 重庆广睿达科技有限公司 | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences |
| US20210109008A1 (en) * | 2019-10-10 | 2021-04-15 | Kansas State University Research Foundation | Monitor for environmental particulate matter size, concentration, and complex index of refraction |
-
2021
- 2021-07-27 CN CN202110854626.9A patent/CN113720741B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4735504A (en) * | 1983-10-31 | 1988-04-05 | Technicon Instruments Corporation | Method and apparatus for determining the volume & index of refraction of particles |
| CN2365712Y (en) * | 1998-12-21 | 2000-02-23 | 北京市新技术应用研究所 | Portable microcomputer digital dust instrument |
| US20090079981A1 (en) * | 2007-09-24 | 2009-03-26 | Process Metrix | Laser-based apparatus and method for measuring agglomerate concentration and mean agglomerate size |
| CN104865173A (en) * | 2014-02-21 | 2015-08-26 | 上海市七宝中学 | Light scattering-based particulate matter concentration detection device |
| CN107941666A (en) * | 2017-10-30 | 2018-04-20 | 重庆广睿达科技有限公司 | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences |
| US20210109008A1 (en) * | 2019-10-10 | 2021-04-15 | Kansas State University Research Foundation | Monitor for environmental particulate matter size, concentration, and complex index of refraction |
Non-Patent Citations (4)
| Title |
|---|
| 田贻丽: ""粉尘浓度测量方法的研究"", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 11, 15 March 2004 (2004-03-15), pages 18 - 20 * |
| 田贻丽: ""粉尘浓度测量方法的研究"", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 11, pages 18 - 20 * |
| 袁晓东: ""颗粒物浓度与粒度谱在线监测仪器光学散射系统研究"", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 3, 15 March 2020 (2020-03-15), pages 19 - 20 * |
| 袁晓东: ""颗粒物浓度与粒度谱在线监测仪器光学散射系统研究"", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 3, pages 19 - 20 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114626580A (en) * | 2022-02-25 | 2022-06-14 | 湖北盛际科技有限公司 | A method and system for predicting dust concentration in construction sites |
| CN119827368A (en) * | 2025-03-20 | 2025-04-15 | 浙江省环保集团生态环保研究院有限公司 | Dust on-line detection method and system based on laser |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113720741B (en) | 2024-08-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113720741A (en) | Smoke concentration detection method and device, terminal equipment and medium | |
| CN104897607B (en) | Portable near infrared spectrum food modeling and quick detection integral method and system | |
| CN106932360A (en) | Portable near infrared spectrum food science literature and modeling integral system and method | |
| CN102192868A (en) | Particle size distribution measuring device | |
| Dong et al. | Inverting cascade impactor data for size-resolved characterization of fine particulate source emissions | |
| CN118067204B (en) | Safety production data acquisition system based on digital metering technology | |
| CN111401794A (en) | Feed quality control method based on near infrared spectrum | |
| Nicklin et al. | Techniques to measure particulate matter emissions from stationary sources: A critical technology review using Multi Criteria Decision Analysis (MCDA) | |
| Kolotov et al. | iPlasmaProQuad: A Computer System Based on a Relational DBMS for Processing and Monitoring the Results of Routine Analysis by the ICP-MS Method | |
| CN113887044A (en) | Data quality monitoring method, device, device and readable storage medium | |
| CN112763477B (en) | Rapid evaluation system for pharmaceutical imitation quality based on Raman spectrum | |
| KR20160128053A (en) | Asbestos distinguish method using data matching technique | |
| CN102768529B (en) | Volume flow correction method for mass flow controller | |
| US8184297B2 (en) | Gas mixture measurement system and methods therefor | |
| CN102393378B (en) | Method for rapidly detecting alcoholysis degree and polymerization degree in production of polyvinyl alcohol by utilizing near infrared spectrum technology | |
| US20230324285A1 (en) | Detection of Water Contamination based on Spectrographic Analysis | |
| Zhang et al. | Single bimodular sensor for differentiated detection of multiple oxidative gases | |
| Brinkmann et al. | JRC Reference Report on Monitoring of Emissions to Air and Water from IED Installations-Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control) | |
| Angheluta et al. | Application of chemometric modelling to UV-Vis spectroscopy: development of simultaneous API and critical excipient assay in a liquid solution continuous flow | |
| US6710872B1 (en) | System for spectrometry | |
| Conti et al. | Uncertainty in environmental analysis: theory and laboratory studies | |
| CN119688418B (en) | Pretreatment method for rapidly extracting lead and cadmium from grain sample | |
| Bowman et al. | Accuracy criteria recommended for the certification of gravimetric coal mine dust samplers | |
| KR20060135696A (en) | Method of Making Polymers | |
| Hyslop et al. | Identifying sources of uncertainty from the inter-species covariance of measurement errors |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |