Real-time monitoring of particulate matter and analysis of dust behavior, method, system, equipment and medium

Abstract

The present invention relates to a method, system, equipment and medium for real-time monitoring of particulate matter and analysis of dust behavior. The real-time monitoring method of particulate matter comprises: using at least one first light source to provide a measurable light signal with a preset first light intensity in the area to be monitored; using at least one first acquisition instrument to continuously acquire the measurable light signal from the corresponding at least one first light source and after passing through at least a part of the area to be monitored within a period of time, and the measurable light signal after passing through at least a part of the area to be monitored has a second light intensity; using an electronic device to determine the dust behavior existing in the area to be monitored based on the first light intensity and the second light intensity of the measurable light signal. The present invention uses optical means to achieve real-time monitoring synchronized with the occurrence of pollution, effectively avoid the influence of environmental factors during monitoring, and simultaneously provide evidence information to improve the operating stability of the monitoring equipment; at the same time, the dust behavior is captured in real time.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection, and in particular to a method, system, equipment and medium for real-time monitoring of particulate matter and analysis of dust behavior. Background Art

[0002] In recent years, the steel industry has promoted the implementation of ultra-low emission transformation, and has carried out large-scale upgrades and transformations of organized and unorganized emission control facilities, while requiring the comprehensive strengthening of automatic monitoring, process monitoring and video monitoring facilities. Unorganized emissions of particulate matter account for more than 50%, and unorganized dust emissions present complex diffusion methods such as point, line, and surface sources. They are paroxysmal, intermittent, concentrated in bursts, and have high instantaneous concentrations. They are easily affected by material properties, meteorological conditions, production processes, operating methods, and airflow turbulence, making their evaluation and monitoring difficult. The policy requires that high-definition video monitoring facilities should be installed at dust-prone points such as material yard entrances and exits, coke oven bodies, sintering ring cooling areas, blast furnace ore troughs and furnace top areas, and steelmaking workshop tops. Air quality monitoring micro-stations are set up around the main dust-producing points in the factory area and on both sides of the transportation roads to monitor the control of particulate matter. In actual operation, the particle concentration monitor is mainly used to monitor the main dust-producing points in real time at fixed points. The following problems occurred during operation:

[0003] 1) The particle monitoring and generation process are not synchronized. After the particle emission occurs at the dust generating point, it takes a certain amount of time to spread to the location of the particle monitoring equipment. That is, when the pollution is detected, the pollution has already spread and seriously affected the surrounding environment;

[0004] 2) Particle monitoring is greatly affected by meteorological parameters. For example, when the equipment is in the upwind direction, it is not easy to monitor the emission of particles from dust-generating points;

[0005] 3) The operational stability of particulate matter monitoring equipment is greatly affected by the environment. For example, high particulate matter concentrations can easily cause blockage in the sampling and monitoring channels, and vibrations caused by processes or other operations can have a certain impact on the monitoring results.

[0006] Therefore, how to provide a method, system, equipment and medium for real-time monitoring of particulate matter and analysis of dust behavior to solve the defects of the prior art, such as the asynchrony between the particulate matter generation process and particulate matter monitoring, the difficulty in detecting the emission of particulate matter at dust-generating points, and the inaccurate and weak timeliness of particulate matter monitoring, has become a technical problem that needs to be urgently solved by technical personnel in this field. Summary of the invention

[0007] In view of the shortcomings of the prior art mentioned above, the purpose of the present invention is to provide a method, system, equipment and medium for real-time monitoring of particulate matter and analysis of dust behavior, so as to solve the problems in the prior art that the particulate matter generation process and particulate matter monitoring are not synchronized, and it is not easy to monitor the emission of particulate matter from dust-generating points, and the particulate matter monitoring is inaccurate and has poor timeliness.

[0008] To achieve the above-mentioned object and other related objects, the present invention provides a real-time monitoring method for particulate matter, which is applied to a real-time monitoring system for particulate matter, wherein the system is arranged in a monitored area, the system comprises at least one first light source, at least one first collector arranged corresponding to the at least one first light source, and an electronic device for back-end analysis, and the method comprises:

[0009] Using the at least one first light source, providing a measurable light signal at a preset first light intensity in the area to be monitored;

[0010] Using the at least one first acquisition instrument, continuously acquiring the measurable light signal from the corresponding at least one first light source and after passing through at least a portion of the area to be monitored within a period of time, wherein the measurable light signal after passing through at least a portion of the area to be monitored has a second light intensity;

[0011] The electronic device is used to determine dust-raising behavior in the area to be monitored based on the first light intensity and the second light intensity of the measurable light signal.

[0012] In one embodiment of the present invention, the system further includes at least one second light source and at least one second collector arranged corresponding to the at least one second light source, and the method further includes:

[0013] Providing a laser signal in the area to be monitored using the at least one second light source;

[0014] Using the at least one second acquisition instrument, continuously acquiring within a period of time a measurable high-brightness light band formed by the laser signal from the corresponding at least one second light source and after passing through at least a portion of the area to be monitored;

[0015] The electronic device is used to determine the position of the light spot that meets the preset conditions on the measurable high-brightness light band, and the position of the dust-raising behavior existing in the monitored area is determined according to the position of the light spot that meets the preset conditions.

[0016] In one embodiment of the present invention, determining the dust-raising behavior existing in the monitored area according to the first light intensity and the second light intensity of the measurable light signal includes:

[0017] determining whether a change in a ratio of the second light intensity to the first light intensity within a period of time is greater than a first threshold;

[0018] If the ratio of the second light intensity to the first light intensity changes by more than a first threshold value within a period of time, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

[0019] In one embodiment of the present invention, determining the dust-raising behavior existing in the monitored area according to the first light intensity and the second light intensity of the measurable light signal includes:

[0020] determining whether a ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold;

[0021] If the ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

[0022] In one embodiment of the present invention, the ratio of the second light intensity to the first light intensity is associated with a concentration parameter of the particulate matter per unit volume, a medium parameter of the particulate matter, and a collection distance between the at least one first light source and the at least one first collector corresponding to the at least one first light source, and the relationship is expressed as I2 / 1∝e -mρD , wherein I2 is the second light intensity, I1 is the first light intensity, m is the concentration parameter of the particulate matter per unit volume, ρ is the medium parameter of the particulate matter, and D is the collection distance between the at least one first light source and the at least one first collector corresponding to the at least one first light source.

[0023] In one embodiment of the present invention, the average concentration of the particles is associated with the ratio of the second light intensity to the first light intensity, the medium parameters of the particles, the collection distance between the at least one first light source and the at least one first collector corresponding to the at least one first light source, and the volume of the particles. The relationship is expressed as Among them, N is the average concentration of particulate matter, ρ is the medium parameter of the particulate matter, D is the collection distance between the at least one first light source and the at least one first collector arranged corresponding to the at least one first light source, V is the volume of the particulate matter, I2 is the second light intensity, and I1 is the first light intensity.

[0024] In one embodiment of the present invention, the method further includes:

[0025] The electronic device is used to determine the number of unmeasurable pattern blocks in the collected image of the measurable light signal, and when the number of unmeasurable pattern blocks is less than a third threshold, a second light intensity of the collected measurable light signal is determined.

[0026] In one embodiment of the present invention, determining the position of the light spot on the measurable highlight light band that meets the preset condition includes:

[0027] The position of the light spot on the measurable highlight light band whose light intensity is greater than a fourth threshold is determined.

[0028] In one embodiment of the present invention, determining the location of the dust-raising behavior existing in the monitored area according to the location of the light spot meeting the preset condition includes:

[0029] Determine that the position of the light spot with light intensity greater than the fourth threshold is mapped to the position of the monitored area, and the position of the monitored area mapped by the position of the light spot with light intensity greater than the fourth threshold indicates the position of the dust behavior existing in the monitored area.

[0030] In one embodiment of the present invention, the method further includes:

[0031] Determine the three-dimensional spatial coordinates (x L ,y L , z L );

[0032] Determine the three-dimensional space coordinates (x) of the position of the at least one second acquisition instrument corresponding to the at least one second light source. C ,y C , z C );

[0033] Determine the image coordinates (X1, Y1) of the position of the starting light spot and the image coordinates (X2, Y3) of the position of the ending light spot on the measurable highlight light band. D , Y D ), and determine the three-dimensional space coordinates (x1, y1, z1) of the position of the starting light spot mapped to the position of the area to be monitored and the three-dimensional space coordinates (x2, y3, z4) of the position of the ending light spot mapped to the position of the area to be monitored D ,y D , z D ).

[0034] In one embodiment of the present invention, the image coordinates (X, Y) of the position of the light spot whose light intensity is greater than the fourth threshold on the measurable highlight light band are determined, and the three-dimensional spatial coordinates (x, y, z) of the position of the light spot whose light intensity is greater than the fourth threshold is mapped to the position of the monitored area are determined. The three-dimensional spatial coordinates (x, y, z) are expressed as

[0035]

[0036]

[0037]

[0038]

[0039] Wherein, f is the focal length of the at least one second collector arranged corresponding to the at least one second light source when collecting the measurable highlight light band.

[0040] In one embodiment of the present invention, the method further includes:

[0041] The electronic device is used to determine the light intensity distribution variance at the position of the light spot in the known uniform light area on the measurable highlight light band, and when the light intensity distribution variance is less than a fifth threshold, the position of the light spot on the measurable highlight light band that meets the preset conditions is determined.

[0042] In one embodiment of the present invention, after determining that dust is generated in the area to be monitored, the method further includes:

[0043] The electronic device is used to issue a notification indicating the presence of dust in the area to be monitored.

[0044] In one embodiment of the present invention, after determining the location of the dust-raising behavior in the area to be monitored, the method further includes:

[0045] The electronic device is used to issue a notification of the location of dust-raising behavior in the area to be monitored.

[0046] In one embodiment of the present invention, the system further includes at least one third collector, and the method further includes:

[0047] Using the at least one third collector to continuously collect environmental information of the area to be monitored over a period of time;

[0048] By using the electronic device, after determining that dust-raising behavior exists in the area to be monitored, environmental information consistent with the occurrence time of the dust-raising behavior is extracted from the environmental information of the area to be monitored.

[0049] In one embodiment of the present invention, the system further includes at least one third collector, and the method further includes:

[0050] Using the at least one third collector to continuously collect environmental information of the area to be monitored over a period of time;

[0051] By using the electronic device, after determining the location of the dust-raising behavior existing in the area to be monitored, the environmental information at the location of the dust-raising behavior is extracted from the environmental information of the area to be monitored.

[0052] Another aspect of the present invention provides a method for analyzing dust behavior in a monitored area, the method being applied to an electronic device, and the method comprising:

[0053] Acquire a first light intensity, where the first light intensity is the light intensity of a measurable light signal provided by at least one first light source in the monitored area;

[0054] Acquire a second light intensity, where the second light intensity is the light intensity of the measurable light signal from the corresponding at least one first light source and after passing through at least a portion of the area to be monitored, which is continuously collected by at least one first collector over a period of time;

[0055] The dust-raising behavior existing in the area to be monitored is determined according to the first light intensity and the second light intensity of the measurable light signal.

[0056] In one embodiment of the present invention, the method further includes:

[0057] Acquire a measurable high-brightness light band, wherein the measurable high-brightness light band is formed by the laser signal from at least one second light source corresponding to the laser signal providing the laser signal in the monitored area and passing through at least a part of the monitored area, which is continuously collected by at least one second collector over a period of time;

[0058] The position of the light spot that meets the preset conditions on the measurable high-brightness light band is determined, and the position of the dust-raising behavior existing in the monitored area is determined according to the position of the light spot that meets the preset conditions.

[0059] In one embodiment of the present invention, determining the dust-raising behavior existing in the monitored area according to the first light intensity and the second light intensity of the measurable light signal includes:

[0060] determining whether a change in a ratio of the second light intensity to the first light intensity within a period of time is greater than a first threshold;

[0061] If the ratio of the second light intensity to the first light intensity changes by more than a first threshold value within a period of time, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

[0062] In one embodiment of the present invention, determining the dust-raising behavior existing in the monitored area according to the first light intensity and the second light intensity of the measurable light signal includes:

[0063] determining whether a ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold;

[0064] If the ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

[0065] In one embodiment of the present invention, determining the position of the light spot on the measurable highlight light band that meets the preset condition includes:

[0066] The position of the light spot on the measurable highlight light band whose light intensity is greater than a fourth threshold is determined.

[0067] In one embodiment of the present invention, determining the location of the dust-raising behavior existing in the monitored area according to the location of the light spot meeting the preset condition includes:

[0068] Determine that the position of the light spot with light intensity greater than the fourth threshold is mapped to the position of the monitored area, and the position of the monitored area mapped by the position of the light spot with light intensity greater than the fourth threshold indicates the position of the dust behavior existing in the monitored area.

[0069] Another aspect of the present invention provides a real-time monitoring system for particulate matter, the system being arranged in an area to be monitored, and the system comprising:

[0070] at least one first light source, the at least one first light source providing a measurable light signal at a preset first light intensity in the area to be monitored;

[0071] At least one first collector is arranged corresponding to the at least one first light source, the at least one first collector continuously collects the measurable light signal from the corresponding at least one first light source and after passing through at least a part of the area to be monitored within a period of time, and the measurable light signal after passing through at least a part of the area to be monitored has a second light intensity;

[0072] An electronic device for back-end analysis, wherein the electronic device determines the dust-raising behavior existing in the area to be monitored based on the first light intensity and the second light intensity of the measurable light signal.

[0073] In one embodiment of the present invention, the system further includes:

[0074] at least one second light source, the at least one second light source providing a laser signal in the area to be monitored;

[0075] At least one second collector, the at least one second collector continuously collects a measurable high-brightness light band formed by the laser signal from the corresponding at least one second light source and after passing through at least a portion of the area to be monitored over a period of time; and

[0076] The electronic device also determines the position of the light spot on the measurable high-brightness light band that meets the preset conditions, and determines the position of the dust-raising behavior existing in the monitored area according to the position of the light spot that meets the preset conditions.

[0077] Another aspect of the present invention provides an electronic device for back-end analysis, the electronic device comprising a memory storing computer executable instructions and a processor, the processor being configured to execute the instructions to implement the above-mentioned method for analyzing dust behavior existing in the monitored area.

[0078] The last aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, controls one or more devices to implement the above-mentioned real-time monitoring method of particulate matter or the above-mentioned method for analyzing dust behavior existing in the monitored area.

[0079] As described above, the method, system, device and medium for real-time monitoring of particulate matter and analysis of dust behavior of the present invention have the following beneficial effects:

[0080] The real-time monitoring of particulate matter and dust behavior analysis method, system, equipment and medium of the present invention use visual recognition technology to determine the change of particulate matter concentration caused by dust behavior, locate dust generating points, and eliminate invalid measurements. This method uses optical means to achieve real-time monitoring synchronized with pollution, effectively avoid the influence of environmental factors during monitoring, and simultaneously provide evidence information to improve the operational stability of monitoring equipment; at the same time, it can capture dust behavior in real time, and has the advantages of high time and space accuracy. The present invention also has the advantages of simple installation, convenient operation, low operation and maintenance costs, and little impact on process production. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figures 1A-1C They are respectively shown as schematic diagrams of application scenarios of the real-time monitoring system for particulate matter of the present invention.

[0082] Figure 2 Shown is a schematic flow chart of the real-time monitoring method of particulate matter of the present invention.

[0083] Figure 3 Shown is a schematic diagram of the principle structure of the real-time monitoring system for particulate matter of the present invention.

[0084] Figures 4A-4C They are respectively shown as schematic diagrams of the setting of the real-time monitoring system for particulate matter of the present invention.

[0085] Component number description

[0086] 1 Real-time monitoring system of particulate matter

[0087] 11 Light Source

[0088] 12. Particle Concentration Information Visual Collector

[0089] 13. Particle distribution information visual acquisition instrument

[0090] 14 Environmental Information Visual Collector

[0091] 15 Information processing module

[0092] 16 Intelligent Analysis Module

[0093] 17 Internal communication module

[0094] 18 External communication module

[0095] 19 Panoramic Camera

[0096] 20. PTZ Control

[0097] 111 Active optical target

[0098] 112 Laser Transmitter

[0099] Steps S21 to S29 DETAILED DESCRIPTION

[0100] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0101] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0102] Figures 1A-1C The following are schematic diagrams showing application scenarios of the real-time monitoring system for particulate matter of the present invention. Figure 1AAs shown, the real-time monitoring system of particulate matter can be used to monitor the unorganized emission of particulate matter in the yard. In view of the particulate matter emission generated by the materials in the yard, an electronic greenhouse is constructed on the yard. The electronic greenhouse is equipped with a light source on one side and a collector on the other side, and is combined with electronic equipment for back-end analysis to form a real-time monitoring system. The light source provides a measurable light signal in the electronic greenhouse, and the collector collects the light intensity information of the measurable light signal. The light intensity information of the measurable light signal is associated with the concentration information of the particulate matter, and is analyzed using the back-end equipment to monitor the unorganized emission of particulate matter in the electronic greenhouse.

[0103] like Figure 1B As shown, the real-time monitoring system of particulate matter can be used for monitoring the unorganized emission of particulate matter from the belt. In view of the particulate matter emission generated by the material during the belt transportation process, a belt corridor is constructed on the belt. The belt corridor is equipped with a light source on one side and a collector on the other side, and is combined with electronic equipment for back-end analysis to form a real-time monitoring system. The light source provides a measurable light signal in the belt corridor, and the collector collects the light intensity information of the measurable light signal. The light intensity information of the measurable light signal is associated with the concentration information of the particulate matter, and is analyzed using the back-end equipment to monitor the unorganized emission of particulate matter along the entire belt corridor.

[0104] like Figure 1C As shown, the real-time monitoring system of particulate matter can be used for monitoring the unorganized emission of road particulate matter. In view of the particulate matter emissions generated on the road when materials are transported by trucks, a light source and a collector are installed above the road. The installation method can be arranged on the same side of the road or on the opposite side of the road, and a real-time monitoring system is formed in combination with electronic equipment for back-end analysis. The light source provides a measurable light signal above the road, and the collector collects the light intensity information of the measurable light signal. The light intensity information of the measurable light signal is associated with the concentration information of the particulate matter, and is analyzed by the back-end equipment, so as to monitor the unorganized emission of the vehicle in real time.

[0105] In addition, the real-time monitoring system for particulate matter can be used to monitor the unorganized emission of particulate matter inside workshops, etc., similar to the monitoring method of yards and belts. Regional monitoring can be carried out based on the characteristics of the unorganized emission of particulate matter at the pollution point.

[0106] Figure 2 Shown is a schematic flow chart of the real-time monitoring method of particulate matter of the present invention. Figure 3 The schematic diagram of the principle structure of the real-time monitoring system of particulate matter of the present invention is shown below. Figure 2 and Figure 3 The real-time monitoring system and method of particulate matter provided in this embodiment are described in detail.

[0107] like Figure 3As shown, the real-time monitoring system 1 of particulate matter includes a light source 11, a particulate matter concentration information visual collector 12, a particulate matter distribution information visual collector 13, an environmental information visual collector 14, an information processing module 15, an intelligent analysis module 16, an internal communication module 17, an external communication module 18 and a control platform 20. The light source 11 includes an active light target 111 and a laser emitter 112. Among them, the active light target 111 is arranged on one side of the control platform 20, the laser emitter 112 is arranged on the other side of the control platform 20, and the particulate matter concentration information visual collector 12, the particulate matter distribution information visual collector 13 and the environmental information visual collector 14 are fixed in the monitored area through the control platform 20 and are arranged on the other side of the control platform 20.

[0108] Among them, the active light target 111 is equivalent to at least one first light source described in this article, the laser emitter 112 is equivalent to at least one second light source described in this article, the particle concentration information visual collector 12 is equivalent to at least one first collector described in this article, the particle distribution information visual collector 13 is equivalent to at least one second collector described in this article, the environmental information visual collector 14 and the panoramic camera 19 described later are equivalent to at least one third collector described in this article, the information processing module 15, the intelligent analysis module 16, the internal communication module 17 and the external communication module 18 are equivalent to the electronic equipment used for back-end analysis described in this article.

[0109] like Figure 2 As shown, in step S21, at least one first light source is used to provide a measurable light signal with a preset first light intensity in the area to be monitored.

[0110] Specifically, the active light target 111 provides a measurable light signal in the area to be monitored, and is used in conjunction with the particle concentration information visual collector 12. The active light target 111 is composed of a plurality of groups of brightness controllable light sources, which emit measurable light rays with a first light intensity, such as visible light rays and / or infrared light rays, etc., and can pass through at least a portion of the area to be monitored.

[0111] like Figure 2 As shown, in step S22, at least one first collector is used to continuously collect measurable light signals from at least one corresponding first light source after passing through at least a portion of the area to be monitored over a period of time. The measurable light signals after passing through at least a portion of the area to be monitored have a second light intensity, and the second light intensity is the light intensity after the first light intensity is attenuated.

[0112] Specifically, the particle concentration information visual collector 12 continuously obtains an image of a measurable light signal from the corresponding active light target 111 after passing through at least a portion of the area to be monitored over a period of time, wherein the image of the measurable light signal includes light intensity information of the measurable light signal. The at least portion of the area to be monitored may be across the entire area to be monitored or may be across a portion of the area, depending on the placement of the active light target 111 and the particle concentration information visual collector 12.

[0113] Due to the blocking and scattering of the measurable light signal by the particles, the light intensity of the measurable light signal contained in the measurable light signal image continuously acquired within a period of time is attenuated. The attenuation is related to the concentration parameter of the particles per unit volume, the medium parameter of the particles, and the collection distance between the active light target 111 and the particle concentration information visual collector 12. The relationship can be expressed as I2 / I1∝e -mρD , where I2 is the light intensity of the measurable light signal collected by the particle concentration information visual collector 12 (the light intensity after attenuation, i.e., the second light intensity), I1 is the light intensity of the measurable light signal of the active light target 111 in an ideal state (the light intensity without attenuation, i.e., the first light intensity), m is the concentration parameter of the particles per unit volume, ρ is the medium parameter of the particles, and D is the collection distance between the active light target 111 and the particle concentration information visual collector 12. It can be seen that the increase in the concentration parameter of the particles per unit volume, the increase in the medium parameter of the particles, and the increase in the collection distance of the real-time monitoring system will all increase the light intensity attenuation.

[0114] Based on this, the average concentration of particles can be estimated by combining the above-mentioned measured light intensity attenuation with the known medium parameters of the particles, the volume of the particles, and the collection distance between the active light target 111 and the particle concentration information visual collector 12. The relationship can be expressed as Among them, N is the average concentration of particles, ρ is the medium parameter of particles, D is the collection distance between the active light target 111 and the particle concentration information visual collector 12, V is the volume of particles, I2 is the light intensity of the measurable light signal collected by the particle concentration information visual collector 12 (the light intensity after attenuation, that is, the second light intensity), and I1 is the light intensity of the measurable light signal of the active light target 111 in an ideal state (the light intensity without attenuation, that is, the first light intensity). It can be seen that under the same light intensity attenuation, the increase of the medium parameter of particles, the increase of the collection distance of the real-time monitoring system, and the increase of the volume of particles will all cause the average concentration of particles to decrease.

[0115] like Figure 2 As shown, in step S23, the electronic device is used to determine the dust-raising behavior existing in the area to be monitored based on the first light intensity and the second light intensity of the measurable light signal.

[0116] Specifically, the intelligent analysis module 16 determines whether the ratio of the second light intensity to the first light intensity of the measurable light signal within a period of time is greater than a first threshold value based on the light intensity information of the measurable light signal. If the ratio of the second light intensity to the first light intensity of the measurable light signal within a period of time is greater than the first threshold value, the intelligent analysis module 16 determines that there is dusting behavior in the area to be monitored; otherwise, the intelligent analysis module 16 determines that there is no dusting behavior in the area to be monitored.

[0117] For example, in the absence of new dust, the average dust concentration change in a 50-meter corridor may be about 0.5 mg. At this time, the ratio of the second light intensity of the measurable light signal to the first light intensity changes by about 5%. Therefore, the first threshold can be set to 10%, which indicates that the average dust concentration changes by 1 mg. If the ratio of the second light intensity of the measurable light signal to the first light intensity changes by 10.1% over a period of time, the ratio change is greater than the first threshold, and it is determined that there is dust in the area to be monitored. If the ratio of the second light intensity of the measurable light signal to the first light intensity changes by 5% over a period of time, the ratio change is less than the first threshold, and it is determined that there is no dust in the area to be monitored.

[0118] In addition, the intelligent analysis module 16 determines whether the ratio of the second light intensity of the measurable light signal to the first light intensity within a period of time is less than the second threshold value based on the light intensity information of the measurable light signal. If the ratio of the second light intensity of the measurable light signal to the first light intensity within a period of time is less than the second threshold value, the intelligent analysis module 16 determines that there is dusting behavior in the area to be monitored, otherwise the intelligent analysis module 16 determines that there is no dusting behavior in the area to be monitored.

[0119] For example, in the absence of new dust, the average dust concentration in a 50-meter corridor may be about 5 mg, and the ratio of the second light intensity of the measurable light signal to the first light intensity is about 78% (i.e., the second threshold). If the ratio of the second light intensity of the measurable light signal to the first light intensity over a period of time is 75%, then the ratio is less than the second threshold, and it is determined that there is dust in the area to be monitored (in other words, there is strong dust pollution). If the ratio of the second light intensity of the measurable light signal to the first light intensity over a period of time is 90%, then the ratio changes by the second threshold, and it is determined that there is no dust in the area to be monitored (in other words, there is no strong dust pollution).

[0120] From the above discussion, it can be seen that when the medium parameters of the particulate matter, the measurement distance of the real-time monitoring system and the volume of the particulate matter remain unchanged, the light intensity attenuation is associated with the average concentration of the particulate matter. If the attenuation rate or attenuation amount of the light intensity meets the threshold condition, it indicates that the average concentration of the particulate matter has changed significantly, that is, there is dust emission behavior.

[0121] Preferably, step S22 also includes using an electronic device to determine the number of unmeasurable pattern blocks in the image of the collected measurable light signal, and when the number of unmeasurable pattern blocks is less than a third threshold, determining the second light intensity of the collected measurable light signal, thereby removing invalid collection information in the light intensity information of the measurable light signal.

[0122] Specifically, the particle concentration information visual collector 12 continuously acquires the image of the measurable light signal from the corresponding active light target 111 and after passing through at least part of the area to be monitored over a period of time, wherein the image of the measurable light signal includes the light target image. When the number of unmeasurable pattern blocks in the light target image is greater than or equal to the set block number threshold (i.e., the third threshold), the information processing module 15 determines that an abnormal light path obstruction has occurred, so that the information collected by the particle concentration information visual collector 12 at this time is invalid collection information. Invalid collection information includes abnormal information collected under conditions such as object obstruction and instrument error, and the result is analyzed and saved by the information processing module 15. The information processing module 15 removes the invalid collection information in the light intensity information of the measurable light signal, and sends the processed light intensity information of the measurable light signal to the intelligent analysis module 16 via the internal communication module 17.

[0123] For example, assuming that in general, the total number of pattern blocks in the collected measurable light signal image is 20, and the number of unmeasurable pattern blocks is not greater than or equal to 5 (i.e., the third threshold). If the number of unmeasurable pattern blocks in the image of the measurable light signal collected at a certain moment is 3, then the light intensity information of the measurable light signal collected at this moment is valid information, and the second light intensity of the collected measurable light signal can be further determined. If the number of unmeasurable pattern blocks in the image of the measurable light signal collected at a certain moment is 7, then the light intensity information of the measurable light signal collected at this moment is invalid information, and the second light intensity of the collected measurable light signal cannot be further determined.

[0124] Preferably, after step S23, if it is determined that dust is generated in the area to be monitored, a notification of the presence of dust in the area to be monitored is issued using an electronic device.

[0125] Specifically, after the intelligent analysis module 16 determines that dust is present in the monitored area based on the light intensity information of the measurable light signal, the intelligent analysis module 16 notifies the monitoring center via the external communication module 18 that dust is present in the monitored area.

[0126] like Figure 2As shown, in step S24, at least one second light source is used to provide a laser signal in the monitored area. It is understandable that step S24 can preferably be performed simultaneously with step S21, or step S24 can also be performed separately from step S21.

[0127] Specifically, the laser emitter 112 provides a laser signal in the area to be monitored and is used in conjunction with the particle distribution information visual collector 13. The control pan / tilt 20 can adjust the emission angle of the laser emitter 112 by remote control to ensure that the particle distribution information visual collector 13 captures the laser signal. The intensity level of the laser signal emitted by the laser emitter 112 is Class II, Class IIIA, and Class IIIB. The particles diffuse on the laser irradiation path and scatter the laser signal to form a measurable high-brightness light band.

[0128] like Figure 2 As shown, in step S25, at least one second collector is used to continuously collect the measurable high-brightness light band formed by the laser signal from the corresponding at least one second light source and after passing through at least a part of the area to be monitored for a period of time. The at least part of the area to be monitored may be across the entire area to be monitored or across a part of the area, depending on the layout position of the laser emitter 112 and the particle distribution information visual collector 13. It can be understood that step S25 can preferably be performed simultaneously with step S22, or step S25 can also be performed separately from step S22.

[0129] Specifically, the particle distribution information visual collector 13 continuously obtains the image of the measurable highlight light band formed by the laser signal from the corresponding laser emitter 112 after passing through at least part of the area to be monitored over a period of time, wherein the image of the measurable highlight light band includes the light intensity information and position information of each light point on the measurable highlight light band. When the system is deployed, the three-dimensional spatial coordinates (x L ,y L , z L ) and (x C ,y C , z C ), then obtain the image of the measurable highlight light band and calibrate the position of the starting light point (X1, Y1) and the ending light point (X D , Y D ), map the positions of the two light spots to the monitored area and determine their three-dimensional spatial coordinates (x1, y1, z1) and (x D ,y D , z D ).

[0130] like Figure 2 As shown, in step S26, the electronic device is used to determine the position of the light spot that meets the preset conditions on the measurable high-brightness light band, and the position of the dust behavior existing in the monitored area is determined according to the position of the light spot that meets the preset conditions.

[0131] Specifically, the intelligent analysis module 16 determines the position of the light spot whose light intensity on the measurable highlight light band is greater than the fourth threshold value according to the image of the measurable highlight light band.

[0132] For example, in the absence of new dust, the light intensity of the light spot on the measurable highlight light band will not be greater than 50 (i.e., the fourth threshold value). If the light intensity of a light spot on the measurable highlight light band is 100, then the light spot meets the preset condition. If the light intensity of a light spot on the measurable highlight light band is 40, then the light intensity of the light spot does not meet the preset condition.

[0133] The intelligent analysis module 16 determines that the position of the light spot is mapped to the position of the monitored area according to the position of the light spot whose light intensity on the measurable highlight light band is greater than the fourth threshold, and the position of the monitored area mapped by the position of the light spot indicates the position of the dust behavior in the monitored area. In actual use, an image of the measurable highlight light band is obtained, and the image coordinates (X, Y) of the position of the light spot whose light intensity on the measurable highlight light band exceeds the fourth threshold are calibrated. Its three-dimensional spatial coordinates (x, y, z) can be calculated by the imaging projection relationship, and the calculation formula is as follows:

[0134]

[0135]

[0136]

[0137]

[0138] Wherein, f is the focal length of the particle distribution information visual collector 13 when collecting the measurable high-brightness light band.

[0139] Preferably, step S26 also includes using an electronic device to determine the light intensity distribution variance at the position of the light point in the known uniform light area on the measurable highlighted light band, and when the light intensity distribution variance is less than a fifth threshold, determining the position of the light point on the measurable highlighted light band that meets preset conditions, thereby removing invalid collection information from the light intensity information and position information of each light point on the measurable highlighted light band.

[0140] Specifically, when a serious light intensity imbalance occurs in a known uniform light area on the measurable highlight light band (i.e., the light intensity distribution variance at the position of the light spot in the area is greater than or equal to the set variance threshold, i.e., the fifth threshold), the information processing module 15 determines that an abnormal light path obstruction occurs, so that the information collected by the particle distribution information visual collector 13 at this time is invalid collection information. Invalid collection information includes abnormal information collected under conditions such as object obstruction and instrument error, and the result is analyzed and saved by the information processing module 15. The information processing module 15 removes the invalid collection information from the light intensity information and position information of each light spot on the measurable highlight light band, and sends the processed light intensity information and position information of each light spot on the measurable highlight light band to the intelligent analysis module 16 via the internal communication module 17.

[0141] For example, assuming that under normal circumstances, the variance of the light intensity distribution at the position of the light point of the known uniform bright area on the measurable highlight light band will not be greater than or equal to 20 (i.e., the fifth threshold value). If the variance of the light intensity distribution at the position of the light point of the known uniform bright area on the measurable highlight light band collected at a certain moment is 15, then the light intensity information and position information of each light point on the measurable highlight light band collected at that moment are valid information, and the position of the light point on the measurable highlight light band that meets the preset conditions can be further determined. If the variance of the light intensity distribution at the position of the light point of the known uniform bright area on the measurable highlight light band collected at a certain moment is 50, then the light intensity information and position information of each light point on the measurable highlight light band collected at that moment are invalid information, and the position of the light point on the measurable highlight light band that meets the preset conditions cannot be further determined.

[0142] Preferably, after step S26, if the location of the dust-raising behavior in the area to be monitored is determined, a notification of the location of the dust-raising behavior in the area to be monitored is issued using an electronic device.

[0143] Specifically, after the intelligent analysis module 16 determines the location of the dust behavior in the monitored area based on the position of the light spot that meets the preset conditions on the measurable high-brightness light band, the intelligent analysis module 16 notifies the monitoring center of the location of the dust behavior via the external communication module 18.

[0144] like Figure 2 As shown, in step S27, at least one third collector is used to continuously collect environmental information of the monitored area over a period of time. It is understandable that step S27 can preferably be performed simultaneously with steps S22 and S25, or step S27 can also be performed separately from steps S22 and S25.

[0145] Specifically, the environment information visual collector 14 continuously acquires the video of the monitored area within a period of time, wherein the video of the monitored area contains the environment information of the monitored area, and the environment information of the monitored area is associated with the equipment, vehicles and personnel in the monitored area. The environment information visual collector 14 sends the environment information of the monitored area to the intelligent analysis module 16 via the internal communication module 17.

[0146] like Figure 2 As shown, in step S28, after determining that there is dust raising behavior in the area to be monitored, the electronic device extracts environmental information consistent with the occurrence time of the dust raising behavior from the environmental information of the area to be monitored. It is understandable that step S28 can be performed after step S23.

[0147] Specifically, after the intelligent analysis module 16 determines that there is dusting behavior in the monitored area based on the light intensity information of the measurable light signal, the intelligent analysis module 16 extracts environmental information consistent with the occurrence time of the dusting behavior from the environmental information of the monitored area, and notifies the monitoring center via the external communication module 18 to provide corresponding evidence information.

[0148] like Figure 2 As shown, in step S29, after the location of the dust behavior existing in the monitored area is determined by using the electronic device, the environmental information at the location of the dust behavior is extracted from the environmental information of the monitored area. It is understandable that step S29 can be performed after step S26.

[0149] Specifically, after the intelligent analysis module 16 determines the location of the dust behavior in the monitored area based on the position of the light spot that meets the preset conditions on the measurable high-brightness light band, the intelligent analysis module 16 extracts the environmental information at the location of the dust behavior from the environmental information of the monitored area, and notifies the monitoring center via the external communication module 18 to provide corresponding evidence information.

[0150] The real-time monitoring system 1 for particulate matter further includes a light source cleaning device (not shown) and a visual collector cleaning device (not shown). The light source cleaning device is used to clean the light source 11, specifically using a brush to clean the surface particles of the active light target 111 and the laser emitter 112. The visual collector cleaning device is used to clean the particle concentration information visual collector 12 and the particle distribution information visual collector 13, specifically using physical scraping and other measures to ensure that the optical lens and its related accessories are clean.

[0151] The above-mentioned information processing module 15 and intelligent analysis module 16 are processors, which can be general-purpose processors, including central processing units (CPU), network processors (NP), etc.; they can also be digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0152] Figures 4A-4C The following are schematic diagrams showing the configuration of the real-time monitoring system for particulate matter of the present invention. Figure 4A As shown, the real-time monitoring system of particulate matter includes an active light target 111, a laser emitter 112, a particle concentration information visual collector 12, a particle distribution information visual collector 13, an intelligent analysis module 16 and an external communication module 18. The active light target 111 provides a measurable light signal in the area to be monitored, and is used in conjunction with the particle concentration information visual collector 12, which serves as the receiver of the measurable light signal. The laser emitter 112 provides a laser signal in the area to be monitored, and is used in conjunction with the particle distribution information visual collector 13, which serves as the receiver of the laser signal. The intelligent analysis module 16 determines the dust behavior existing in the area to be monitored based on the light intensity information of the measurable light signal, and determines the location of the dust behavior existing in the area to be monitored based on the position of the light spot that meets the preset conditions on the measurable high-brightness light band formed by the laser signal. The intelligent analysis module 16 notifies the monitoring center of the existence of dust behavior in the area to be monitored and the location of the dust behavior via the external communication module 18. Therefore, the real-time monitoring system can not only determine the dust-raising behavior existing in the area to be monitored, but also determine the location of the dust-raising behavior existing in the area to be monitored.

[0153] like Figure 4BAs shown, the real-time monitoring system of particulate matter includes an active light target 111, a particulate matter concentration information visual collector 12, an environmental information visual collector 14, an intelligent analysis module 16 and an external communication module 18. The active light target 111 provides a measurable light signal in the area to be monitored, and is used in conjunction with the particulate matter concentration information visual collector 12, which serves as the receiver of the measurable light signal. The environmental information visual collector 14 obtains the video of the area to be monitored within a period of time. The intelligent analysis module 16 determines the dust behavior existing in the area to be monitored based on the light intensity information of the measurable light signal, and extracts the video consistent with the occurrence time of the dust behavior from the video of the area to be monitored. The intelligent analysis module 16 notifies the monitoring center via the external communication module 18 that there is dust behavior in the area to be monitored, and provides the video consistent with the occurrence time of the dust behavior. Therefore, the real-time monitoring system can not only determine the dust behavior existing in the area to be monitored, but also provide corresponding evidence information.

[0154] like Figure 4C As shown, the two sets Figure 4A The real-time monitoring system of particulate matter shown is combined with a panoramic camera 19, and each system includes an active light target 111, a laser emitter 112, a particle concentration information visual collector 12, a particle distribution information visual collector 13, an intelligent analysis module 16, and an external communication module 18. The active light target 111 provides a measurable light signal in the area to be monitored, and is used in conjunction with the particle concentration information visual collector 12, which serves as a receiver of the measurable light signal. The laser emitter 112 provides a laser signal in the area to be monitored, and is used in conjunction with the particle distribution information visual collector 13, which serves as a receiver of the laser signal. The panoramic camera 19 acquires a video of the area to be monitored within a period of time. The intelligent analysis module 16 determines the dust behavior existing in the area to be monitored based on the light intensity information of the measurable light signal, determines the position of the dust behavior existing in the area to be monitored based on the position of the light spot that meets the preset conditions on the measurable high-brightness light band formed by the laser signal, and extracts the video consistent with the occurrence time of the dust behavior from the video of the area to be monitored. The intelligent analysis module 16 notifies the monitoring center of the dust behavior in the monitored area and the location of the dust behavior through the external communication module 18, and provides a video consistent with the time of the dust behavior. Therefore, the real-time monitoring system can not only determine the dust behavior in a large area to be monitored, but also determine the location of the dust behavior in the monitored area, and provide corresponding evidence information.

[0155] The present invention also provides a method for analyzing dust behavior in a monitored area, which is applied to electronic equipment and includes:

[0156] Acquiring a first light intensity, where the first light intensity is the light intensity of a measurable light signal provided in a to-be-monitored area by at least one first light source;

[0157] Acquire a second light intensity, where the second light intensity is the light intensity of a measurable light signal from the corresponding at least one first light source and after passing through at least a portion of the area to be monitored, which is continuously collected by at least one first collector over a period of time;

[0158] The dust-raising behavior existing in the area to be monitored is determined according to the first light intensity and the second light intensity of the measurable light signal.

[0159] The method further includes:

[0160] Acquire a measurable high-brightness light band, where the measurable high-brightness light band is formed by laser signals from at least one second light source corresponding to the laser signal in the monitored area and passing through at least a portion of the monitored area, which are continuously collected by at least one second collector over a period of time;

[0161] The position of the light spot that meets the preset conditions on the measurable high-brightness light band is determined, and the position of the dust-raising behavior existing in the area to be monitored is determined according to the position of the light spot that meets the preset conditions.

[0162] Wherein, determining the dust raising behavior existing in the monitored area according to the first light intensity and the second light intensity of the measurable light signal includes:

[0163] Determine whether a change in the ratio of the second light intensity to the first light intensity within a period of time is greater than a first threshold;

[0164] If the ratio of the second light intensity to the first light intensity changes by more than a first threshold value within a period of time, it is determined that dust raising behavior exists in the area to be monitored; otherwise, it is determined that dust raising behavior does not exist in the area to be monitored.

[0165] Wherein, determining the dust raising behavior existing in the monitored area according to the first light intensity and the second light intensity of the measurable light signal includes:

[0166] determining whether a ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold;

[0167] If the ratio of the second light intensity to the first light intensity within a period of time is less than the second threshold, it is determined that dust raising behavior exists in the area to be monitored; otherwise, it is determined that dust raising behavior does not exist in the area to be monitored.

[0168] Wherein, determining the position of the light spot on the measurable high brightness light band that meets the preset conditions includes:

[0169] The position of the light spot on the measurable highlight light band whose light intensity is greater than a fourth threshold is determined.

[0170] Wherein, determining the location of dust-raising behavior existing in the monitored area according to the location of the light spot meeting the preset conditions includes:

[0171] Determine that the position of the light spot with light intensity greater than the fourth threshold is mapped to the position of the area to be monitored, and the position of the area to be monitored mapped by the position of the light spot with light intensity greater than the fourth threshold indicates the position of the dust behavior existing in the area to be monitored.

[0172] This embodiment is implemented in conjunction with the embodiment of the real-time monitoring method and system for particulate matter described above. The relevant technical details mentioned in the above-described embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the above-described embodiment.

[0173] The present invention also provides an electronic device for back-end analysis, the electronic device comprising a memory storing computer executable instructions and a processor, the processor being configured to execute the instructions to implement the above-mentioned analysis method of dust-raising behavior existing in the monitored area.

[0174] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which controls various devices when executed by a processor, such as controlling the emission of a light source and the timing of light signal collection, so as to implement the above-mentioned real-time monitoring method of particulate matter or the above-mentioned method for analyzing dust behavior in the monitored area.

[0175] A person skilled in the art can understand that computer-readable storage media: all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to the computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

[0176] The protection scope of the real-time monitoring method of particulate matter and the analysis method of dust behavior in the monitored area described in the present invention is not limited to the execution order of the steps listed in this embodiment. All solutions achieved by adding, reducing or replacing steps in the prior art based on the principles of the present invention are included in the protection scope of the present invention.

[0177] The real-time monitoring system for particulate matter and the electronic device for back-end analysis described in the present invention can implement the real-time monitoring method for particulate matter and the analysis method for dust behavior in the monitored area described in the present invention, but the implementation device of the real-time monitoring method for particulate matter and the analysis method for dust behavior in the monitored area described in the present invention includes but is not limited to the structure of the real-time monitoring system for particulate matter and the electronic device for back-end analysis listed in this embodiment. All structural deformations and replacements of the prior art made according to the principles of the present invention are included in the protection scope of the present invention.

[0178] In summary, the real-time monitoring of particulate matter and dust behavior analysis method, system, equipment and medium described in the present invention use visual recognition technology to determine the change in particulate matter concentration caused by dust behavior, locate dust generating points, and eliminate invalid measurements. This method uses optical means to achieve real-time monitoring synchronized with the occurrence of pollution, effectively avoiding the influence of environmental factors during monitoring, and simultaneously providing evidence information to improve the operational stability of the monitoring equipment; at the same time, it can capture dust behavior in real time, and has the advantages of high temporal and spatial accuracy. The present invention also has the advantages of simple installation, convenient operation, low operating and maintenance costs, and little impact on process production.

[0179] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A real-time monitoring method for particulate matter, characterized in that: The method is applied to a real-time monitoring system for particulate matter, the system is arranged in a to-be-monitored area, the system comprises at least one first light source, at least one first collector arranged corresponding to the at least one first light source, and electronic equipment for back-end analysis, and the method comprises: Using the at least one first light source, providing a measurable light signal at a preset first light intensity in the area to be monitored; Using the at least one first acquisition instrument, continuously acquiring the measurable light signal from the corresponding at least one first light source and after passing through at least a portion of the area to be monitored within a period of time, wherein the measurable light signal after passing through at least a portion of the area to be monitored has a second light intensity; The electronic device is used to determine dust-raising behavior in the area to be monitored based on the first light intensity and the second light intensity of the measurable light signal.

2. The method according to claim 1, characterized in that The system further includes at least one second light source and at least one second collector arranged corresponding to the at least one second light source, and the method further includes: Providing a laser signal in the area to be monitored using the at least one second light source; Using the at least one second acquisition instrument, continuously acquiring within a period of time a measurable high-brightness light band formed by the laser signal from the corresponding at least one second light source and after passing through at least a portion of the area to be monitored; The electronic device is used to determine the position of the light spot on the measurable high-brightness light band that meets the preset conditions, and the position of the dust-raising behavior existing in the monitored area is determined according to the position of the light spot that meets the preset conditions.

3. The method according to claim 1, characterized in that Determining the dust-raising behavior existing in the area to be monitored according to the first light intensity and the second light intensity of the measurable light signal includes: determining whether a change in a ratio of the second light intensity to the first light intensity within a period of time is greater than a first threshold; If the ratio of the second light intensity to the first light intensity changes by more than a first threshold value within a period of time, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

4. The method according to claim 1, characterized in that: Determining the dust-raising behavior existing in the area to be monitored according to the first light intensity and the second light intensity of the measurable light signal includes: determining whether a ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold; If the ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

5. The method according to claim 3 or 4, characterized in that: The ratio of the second light intensity to the first light intensity is associated with the concentration parameter of the particulate matter per unit volume, the medium parameter of the particulate matter, and the collection distance between the at least one first light source and the at least one first collector corresponding to the at least one first light source. The relationship is expressed as I2 / I1∝e -mρD , wherein I2 is the second light intensity, I1 is the first light intensity, m is the concentration parameter of the particulate matter per unit volume, ρ is the medium parameter of the particulate matter, and D is the collection distance between the at least one first light source and the at least one first collector corresponding to the at least one first light source.

6. The method according to claim 5, characterized in that The average concentration of the particles is associated with the ratio of the second light intensity to the first light intensity, the medium parameters of the particles, the collection distance between the at least one first light source and the at least one first collector corresponding to the at least one first light source, and the volume of the particles. The relationship is expressed as Among them, N is the average concentration of particulate matter, ρ is the medium parameter of the particulate matter, D is the collection distance between the at least one first light source and the at least one first collector arranged corresponding to the at least one first light source, V is the volume of the particulate matter, I2 is the second light intensity, and I1 is the first light intensity.

7. The method according to claim 1, characterized in that The method further comprises: The electronic device is used to determine the number of unmeasurable pattern blocks in the collected image of the measurable light signal, and when the number of unmeasurable pattern blocks is less than a third threshold, a second light intensity of the collected measurable light signal is determined.

8. The method according to claim 2, characterized in that: Determining the position of the light spot on the measurable high-brightness light band that meets the preset conditions includes: The position of the light spot on the measurable highlight light band whose light intensity is greater than a fourth threshold is determined.

9. The method according to claim 8, characterized in that Determining the location of dust-raising behavior in the monitored area according to the location of the light spot meeting the preset conditions includes: Determine that the position of the light spot with light intensity greater than the fourth threshold is mapped to the position of the monitored area, and the position of the monitored area mapped by the position of the light spot with light intensity greater than the fourth threshold indicates the position of the dust behavior existing in the monitored area.

10. The method according to claim 9, characterized in that The method further comprises: Determine the three-dimensional spatial coordinates (x L ,y L , z L ); Determine the three-dimensional space coordinates (x) of the position of the at least one second acquisition instrument corresponding to the at least one second light source. C ,y C , z C ); Determine the image coordinates (X1, Y1) of the position of the starting light spot and the image coordinates (X2, Y3) of the position of the ending light spot on the measurable highlight light band. D , Y D ), and determine the three-dimensional space coordinates (x1, y1, z1) of the position of the starting light spot mapped to the position of the area to be monitored and the three-dimensional space coordinates (x2, y3, z4) of the position of the ending light spot mapped to the position of the area to be monitored D ,y D , z D ).

11. The method according to claim 10, characterized in that Determine the image coordinates (X, Y) of the position of the light spot on the measurable highlight light band whose light intensity is greater than the fourth threshold, and determine the three-dimensional space coordinates (x, y, z) of the position of the light spot whose light intensity is greater than the fourth threshold mapped to the position of the monitored area, the three-dimensional space coordinates (x, y, z) being expressed as Wherein, f is the focal length of the at least one second collector arranged corresponding to the at least one second light source when collecting the measurable highlight light band.

12. The method according to claim 2, characterized in that: The method further comprises: The electronic device is used to determine the light intensity distribution variance at the position of the light spot in the known uniform light area on the measurable highlight light band, and when the light intensity distribution variance is less than a fifth threshold, the position of the light spot on the measurable highlight light band that meets the preset conditions is determined.

13. The method according to claim 1, characterized in that After determining that dust-raising behavior exists in the area to be monitored, the method further includes: The electronic device is used to issue a notification indicating the presence of dust in the area to be monitored.

14. The method according to claim 2, characterized in that After determining the location of the dust-raising behavior existing in the area to be monitored, the method further includes: The electronic device is used to issue a notification of the location of dust-raising behavior in the area to be monitored.

15. The method according to claim 1, characterized in that The system further comprises at least one third collector, and the method further comprises: Using the at least one third collector to continuously collect environmental information of the area to be monitored over a period of time; By using the electronic device, after determining that dust-raising behavior exists in the area to be monitored, environmental information consistent with the occurrence time of the dust-raising behavior is extracted from the environmental information of the area to be monitored.

16. The method according to claim 2, characterized in that The system further comprises at least one third collector, and the method further comprises: Using the at least one third collector to continuously collect environmental information of the area to be monitored over a period of time; By using the electronic device, after determining the location of the dust-raising behavior existing in the area to be monitored, the environmental information at the location of the dust-raising behavior is extracted from the environmental information of the area to be monitored.

17. A method for analyzing dust behavior in a monitored area, characterized in that: The method is applied to an electronic device, and the method comprises: Acquire a first light intensity, where the first light intensity is the light intensity of a measurable light signal provided by at least one first light source in the monitored area; Acquire a second light intensity, where the second light intensity is the light intensity of the measurable light signal from the corresponding at least one first light source and after passing through at least a portion of the area to be monitored, which is continuously collected by at least one first collector over a period of time; The dust-raising behavior existing in the area to be monitored is determined according to the first light intensity and the second light intensity of the measurable light signal.

18. The method according to claim 17, characterized in that The method further comprises: Acquire a measurable high-brightness light band, wherein the measurable high-brightness light band is formed by the laser signal from at least one second light source corresponding to the laser signal providing the laser signal in the monitored area and passing through at least a part of the monitored area, which is continuously collected by at least one second collector over a period of time; The position of the light spot that meets the preset conditions on the measurable high-brightness light band is determined, and the position of the dust-raising behavior existing in the monitored area is determined according to the position of the light spot that meets the preset conditions.

19. The method according to claim 17, characterized in that Determining the dust-raising behavior existing in the area to be monitored according to the first light intensity and the second light intensity of the measurable light signal includes: determining whether a change in a ratio of the second light intensity to the first light intensity within a period of time is greater than a first threshold; If the ratio of the second light intensity to the first light intensity changes by more than a first threshold value within a period of time, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

20. The method according to claim 17, characterized in that Determining the dust-raising behavior existing in the area to be monitored according to the first light intensity and the second light intensity of the measurable light signal includes: determining whether a ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold; If the ratio of the second light intensity to the first light intensity within a period of time is less than a second threshold, it is determined that dust is generated in the area to be monitored; otherwise, it is determined that dust is not generated in the area to be monitored.

21. The method according to claim 18, characterized in that Determining the position of the light spot on the measurable high-brightness light band that meets the preset conditions includes: The position of the light spot on the measurable highlight light band whose light intensity is greater than a fourth threshold is determined.

22. The method according to claim 19, characterized in that Determining the location of dust-raising behavior in the monitored area according to the location of the light spot meeting the preset conditions includes: Determine that the position of the light spot with light intensity greater than the fourth threshold is mapped to the position of the monitored area, and the position of the monitored area mapped by the position of the light spot with light intensity greater than the fourth threshold indicates the position of the dust behavior existing in the monitored area.

23. A real-time monitoring system for particulate matter, characterized in that: The system is arranged in the area to be monitored, and the system comprises: at least one first light source, the at least one first light source providing a measurable light signal at a preset first light intensity in the area to be monitored; At least one first collector is arranged corresponding to the at least one first light source, the at least one first collector continuously collects the measurable light signal from the corresponding at least one first light source and after passing through at least a part of the area to be monitored within a period of time, and the measurable light signal after passing through at least a part of the area to be monitored has a second light intensity; An electronic device for back-end analysis, wherein the electronic device determines the dust-raising behavior existing in the area to be monitored based on the first light intensity and the second light intensity of the measurable light signal.

24. The system according to claim 23, characterized in that The system further comprises: At least one second light source, the at least one second light source provides a laser signal in the area to be monitored; at least one second collector, the at least one second collector continuously collects a measurable high-brightness light band formed by the laser signal from the corresponding at least one second light source and after passing through at least a portion of the area to be monitored over a period of time; and The electronic device also determines the position of the light spot on the measurable high-brightness light band that meets the preset conditions, and determines the position of the dust-raising behavior existing in the monitored area according to the position of the light spot that meets the preset conditions.

25. An electronic device for back-end analysis, characterized in that: The electronic device includes a memory storing computer executable instructions and a processor, wherein the processor is configured to execute the instructions to implement the method for analyzing dust-raising behaviors existing in the area to be monitored according to any one of claims 17 to 22.

26. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by the processor, it controls one or more devices to implement the real-time monitoring method of particulate matter described in any one of claims 1-16 or the analysis method of dust behavior in the monitored area described in any one of claims 17-22.

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