Particulate matter concentration detection method, system, apparatus, and computer device

Abstract

The application relates to a particulate matter concentration detection method, system, device and computer equipment. The method comprises the following steps: in the case that a receiving device receives scattered light corresponding to suspended particulate matter in a working device, determining the historical receiving times of the receiving device; the scattered light is obtained by detecting the scattering of detection light emitted by a detection light emitting device on the suspended particulate matter; based on the historical receiving times, determining the particulate matter accumulation degree of the detection light emitting device and the receiving device; based on a compensation coefficient which is inversely related to the particulate matter accumulation degree, compensating detection information corresponding to the scattered light, and determining the particulate matter concentration of the suspended particulate matter in the working device. The method can improve the particulate matter concentration detection accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of concentration detection, in particular to a particulate matter concentration detection method, system, device and computer equipment. BACKGROUND

[0002] In industrial production, environmental monitoring and many fields related to air quality assessment, accurate detection of particulate matter concentration is crucial. Most existing particulate matter concentration detection methods use direct detection methods, which usually rely on specialized detection equipment. Such detection equipment generally includes a detection light emitting device and a receiving device. The detection light emitting device emits detection light, which scatters when it shines on the suspended particulate matter in the working device. The receiving device receives the scattered light, and the concentration of suspended particulate matter is determined by analyzing and processing the scattered light.

[0003] However, as the use time of the detection equipment increases, the emission lens of the detection light emitting device and the receiving lens of the receiving device will inevitably accumulate dirt, oil stains and other dirty substances. These dirt will affect the receiving effect of the receiving device on the scattered light, causing the received scattered light signal to deviate. Therefore, the detection accuracy of the traditional technology for detecting particulate matter concentration is not high. SUMMARY

[0004] Therefore, it is necessary to provide a particulate matter concentration detection method, system, device and computer equipment to solve the technical problem of low detection accuracy of the traditional particulate matter concentration detection.

[0005] In a first aspect, the present application provides a particulate matter concentration detection method. The method comprises:

[0006] In the case where the receiving device receives the scattered light corresponding to the suspended particulate matter in the working device, the historical receiving times of the receiving device are determined; the scattered light is obtained by scattering the detection light emitted by the detection light emitting device on the suspended particulate matter;

[0007] Based on the historical receiving times, the particulate matter accumulation degree of the detection light emitting device and the receiving device is determined;

[0008] Based on the compensation coefficient inversely related to the particulate matter accumulation degree, the detection information corresponding to the scattered light is compensated to determine the particulate matter concentration of the suspended particulate matter in the working device.

[0009] In one embodiment, the method further comprises:

[0010] Obtaining a correction coefficient preset for the working device;

[0011] Correct the particle accumulation degree based on the correction coefficient to obtain a compensation coefficient inversely related to the particle accumulation degree.

[0012] In one of the embodiments, the preset manner of the correction coefficient comprises:

[0013] Obtain the device type of the working device.

[0014] According to the device type and the association between the device type and the correction coefficient, determine the correction coefficient corresponding to the device type.

[0015] In one of the embodiments, the determination of the particle accumulation degree of the detection light emitting device and the receiving device based on the historical receiving times comprises:

[0016] Obtain the historical working duration of the working device.

[0017] Determine a dynamic weight factor corresponding to the historical working duration, analyze the dynamic weight factor and the historical receiving times to determine a weighted historical receiving time; the dynamic weight factor is positively related to the historical working duration.

[0018] According to the weighted historical receiving time, determine the particle accumulation degree of the detection light emitting device and the receiving device.

[0019] In one of the embodiments, the method further comprises:

[0020] Obtain a plurality of compensation coefficient threshold ranges.

[0021] In each of the compensation coefficient threshold ranges, determine a target threshold range to which the compensation coefficient belongs.

[0022] Generate a cleaning signal corresponding to the target threshold range.

[0023] In a second aspect, the application further provides a particle concentration detection system, comprising a detection light emitting device arranged on one side of a working device, a receiving device arranged on the other side of the working device, and a control device; the control device is connected to the detection light emitting device and the receiving device.

[0024] The detection light emitting device is used for emitting detection light for the suspended particles in the working device.

[0025] The receiving device is used for receiving scattered light corresponding to the suspended particles in the working device; the scattered light is obtained by scattering the detection light emitted by the detection light emitting device on the suspended particles.

[0026] The control device is used for implementing the method in any one of the above embodiments.

[0027] In one of the embodiments, the detection light receiving path of the receiving device intersects with the detection light emitting path of the detection light emitting device.

[0028] In one of the embodiments, the detection light emitting device further comprises a light beam shaping module.

[0029] The light beam shaping module is arranged on the light emitting path of the laser emitting module, and is configured to shape the laser beam emitted by the laser emitting module into a uniform parallel light beam.

[0030] In a third aspect, the present application further provides a particulate matter concentration detection device. The device comprises:

[0031] A historical receiving frequency determination module is configured to determine a historical receiving frequency of the receiving device in a case that the receiving device receives scattered light corresponding to the particulate matter in the working device; the scattered light is obtained by scattering detection light emitted by the detection light emitting device on the particulate matter.

[0032] A cumulative degree determination module is configured to determine a particulate matter cumulative degree of the detection light emitting device and the receiving device based on the historical receiving frequency.

[0033] A particulate matter concentration determination module is configured to compensate detection information corresponding to the scattered light based on a compensation coefficient inversely related to the particulate matter cumulative degree, and determine a particulate matter concentration of the particulate matter in the working device.

[0034] In a fourth aspect, the present application further provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method as described above when executing the computer program.

[0035] In a fifth aspect, the present application further provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the method as described above.

[0036] In a sixth aspect, the present application further provides a computer program product. The computer program product comprises a computer program, and the computer program is executed by a processor to implement the steps of the method as described above.

[0037] The particle concentration detection method, system, device and computer equipment, when the receiving device receives the scattered light corresponding to the suspended particles in the working device, first determines the historical receiving times of the receiving device. Since the historical receiving times reflect the use time of the detection device and the degree of possible lens contamination to some extent, the particle accumulation degree of the detection light emitting device and the receiving device can be accurately determined based on the historical receiving times. Further, the detection information corresponding to the scattered light is compensated by using the compensation coefficient which is inversely related to the particle accumulation degree. This means that when the lens contamination degree is high (the particle accumulation degree is high), the compensation coefficient will be adjusted accordingly, and the detection information will be compensated to a greater extent to offset the influence of contamination on the detection light and the scattered light. Conversely, when the lens is relatively clean (the particle accumulation degree is low), the compensation coefficient has a smaller effect. Through this dynamic compensation method, the detection error caused by lens contamination can be effectively eliminated, and the particle concentration of the suspended particles in the working device determined finally is more accurate and reliable. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 An application environment diagram of the particle concentration detection method in an embodiment;

[0039] Figure 2 A flowchart of the particle concentration detection method in an embodiment;

[0040] Figure 3 A flowchart of the compensation coefficient determination step in an embodiment;

[0041] Figure 4 A flowchart of the compensation coefficient determination step in an embodiment;

[0042] Figure 5 A flowchart of the particle accumulation degree determination step in an embodiment;

[0043] Figure 6 A flowchart of the cleaning signal generation step in an embodiment;

[0044] Figure 7 A schematic diagram of the intersection of light paths in an embodiment;

[0045] Figure 8 A flowchart of the particle concentration detection method in another embodiment;

[0046] Figure 9 A structural block diagram of the particle concentration detection device in an embodiment;

[0047] Figure 10 An internal structure diagram of the computer equipment in an embodiment. DETAILED DESCRIPTION

[0048] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0049] The particle concentration detection method provided by the embodiments of the present application can be applied in an application environment as shown in the figure. Figure 1 The control device 102 communicates with the detection light emitting device 104 and the receiving device 106 through the network. The control device 102 is the core management and control unit of the entire particle concentration detection system. It undertakes the important task of coordinating, commanding and monitoring the operation of other devices in the system, can receive data from the receiving device 106, and analyze and process according to the preset algorithm and logic, and send control instructions to the detection light emitting device 104 to realize accurate regulation and control of the detection process. In addition, the control device 102 also has the functions of data storage, display and data interaction with external systems, etc., to ensure that the detection system can stably and efficiently run. The main function of the detection light emitting device 104 is to generate and emit detection light for detecting suspended particles. The characteristics of the detection light (such as wavelength, intensity, emission angle, etc.) will directly affect the generation and detection effect of the scattered light of the particles, so it is necessary to select appropriate detection light emitting devices according to the specific detection requirements and application scenarios. The role of the receiving device 106 is to receive the scattered light signal formed after the detection light is scattered on the suspended particles, and convert it into an electrical signal or other processable signal form, so that the control device 102 can further analyze and process. The performance of the receiving device (such as sensitivity, resolution, dynamic range, etc.) directly affects the detection accuracy of the particle concentration of the detection system. Specifically, the control device 102 determines the historical receiving times of the receiving device 106 in the case that the receiving device 106 receives the scattered light corresponding to the suspended particles in the working device, the scattered light is obtained by scattering the detection light emitted by the detection light emitting device 104 on the suspended particles, determines the particle accumulation degree of the detection light emitting device 104 and the receiving device 106 based on the historical receiving times, and compensates the detection information corresponding to the scattered light based on the compensation coefficient inversely related to the particle accumulation degree, to determine the particle concentration of the suspended particles in the working device.

[0050] In one embodiment, as shown in the figure, Figure 2 A particle concentration detection method is provided, which is taken as an example of the control device 102 in Figure 1 The method includes the following steps:

[0051] Step S202, in the case that the receiving device receives the scattered light corresponding to the suspended particles in the working device, the historical receiving times of the receiving device are determined.

[0052] The scattered light is obtained by detecting the scattering of the detection light emitted by the detection light emitting device on the suspended particulate matter. The receiving device is a key component in the particulate matter concentration detection system, and its main function is to capture and receive specific light signals. It has high-sensitivity optical receiving elements that can convert the received light signals into electrical signals for subsequent processing and analysis. For example, the receiving device can include photodiodes, photomultiplier tubes, and other optical sensors that can produce corresponding electrical responses to different intensities and wavelengths of light. The working device refers to the device or place that produces suspended particulate matter during actual operation. In different application scenarios, the working device has diversity. For example, in daily life, it may be an exhaust hood that produces a large amount of oil smoke particulate matter during operation; in industrial production, it may be a welding device in a welding workshop that produces a large amount of metal particulate matter during welding; in a construction site, it may be a concrete mixer that stirs up dust particulate matter during mixing; in an indoor environment, it may be a printer, copier, or other office equipment that releases tiny carbon powder particulate matter during operation.

[0053] Suspended particulate matter refers to solid or liquid micro-particles suspended in air or other gaseous media. These particulate matters have a wide range of sizes, from nanometers to microns. Their composition also varies, and may include dust, pollen, oil smoke, smoke, bacteria, viruses, and various industrial dust. Suspended particulate matter has an important impact on air quality, human health, and the normal operation of equipment.

[0054] Scattered light: When the detection light emitted by the detection light emitting device shines on the suspended particulate matter, due to the size of the particulate matter being comparable or larger than the wavelength of the detection light, the light will scatter, resulting in scattered light. The direction, intensity, and polarization state of the scattered light are closely related to the size, shape, concentration of the suspended particulate matter, and the properties of the detection light.

[0055] The detection light emitting device is a device used to generate and emit detection light. The characteristics of the detection light, such as wavelength, intensity, pulse frequency, etc., are designed and selected according to the detection requirements. Common detection light emitting devices include lasers, light-emitting diodes, etc. Lasers can produce high-intensity, single-color, and highly directional laser beams, suitable for scenarios with high detection accuracy requirements; while light-emitting diodes have low cost, long service life, and are easy to modulate, widely used in some cost-sensitive applications.

[0056] The historical receiving number is the number of times that the receiving device has received the scattered light corresponding to the suspended particulate matter in the working device since it was put into use. This data can be recorded by setting a counter in the receiving device. Each time a valid scattered light signal is received, the counter is incremented by 1. The historical receiving number reflects the working time and frequency of use of the receiving device, and to some extent, reflects the degree of possible contamination of the detection light emitting device and the receiving device by particulate matter.

[0057] Specifically, in an actual detection scenario, the detection light emitting device emits detection light of a specific wavelength and intensity according to preset parameters. After these detection lights enter the area where the working device is located, they will interact with the suspended particulate matter therein. Due to the presence of particulate matter, the detection light will scatter, thereby generating scattered light. The receiving device is in standby state at all times, and when it receives the scattered light corresponding to the suspended particulate matter in the working device, the system will immediately trigger a counting mechanism. Specifically, the receiving device has a special counter inside. Each time a valid scattered light signal is successfully received, the counter is automatically incremented by 1, so as to determine the historical receiving number of the receiving device. This historical receiving number will be stored in the memory of the system for subsequent analysis and processing. For example, in a workshop of a large factory, a particulate matter concentration detection system is installed. The detection light emitting device continuously emits detection light, and the suspended particulate matter generated by various production equipment in the workshop causes the detection light to scatter. The receiving device continuously receives these scattered lights and records the historical receiving number in real time. Over time, the historical receiving number will increase, reflecting the continuous progress of the particulate matter detection in the workshop.

[0058] Step S204, based on the historical receiving number, determine the particulate matter accumulation degree of the detection light emitting device and the receiving device.

[0059] The particulate matter accumulation degree refers to the amount and thickness of the suspended particulate matter accumulated on the surface or internal optical elements of the detection light emitting device and the receiving device during long-term use. As the use time increases, the suspended particulate matter in the environment around the device will gradually adhere to the optical elements such as the lens, filter, and mirror of the device, affecting the emission of detection light and the reception of scattered light, and thus adversely affecting the accuracy of particulate matter concentration detection. The higher the particulate matter accumulation degree, the greater the possible impact on the detection result.

[0060] Specifically, the historical receiving times is an important reference index during the operation of the particulate matter concentration detection system. The detection light emitting device continuously emits detection light, which, after entering the area where the working device is located, interacts with the suspended particulate matter therein to generate scattered light. The receiving device is always in standby state, captures these scattered light signals, and records the historical receiving times. Based on the historical receiving times, the particulate matter accumulation degree of the detection light emitting device and the receiving device can be evaluated. Generally speaking, the more the historical receiving times, the longer the device is in working state, and the longer the time exposed to the environment containing suspended particulate matter. In such a case, the possibility of particulate matter accumulation on the surface and internal optical elements of the device is greater. For example, in a large factory workshop, the particulate matter concentration detection system is in long-term operation, and the detection light emitting device and the receiving device are continuously working. Over time, various dust particulate matter generated in the production process in the workshop will gradually adhere to the lens and optical elements of the device. By analyzing the historical receiving times, the accumulation of particulate matter on the device can be inferred. If the historical receiving times are very high, it is likely that the particulate matter accumulation degree of the device has reached a high level, and at this time, the device needs to be cleaned and maintained to ensure the accuracy of the detection.

[0061] In some specific embodiments, the control device can obtain the historical working time length of the working device, determine a dynamic weight factor corresponding to the historical working time length, analyze the dynamic weight factor and the historical receiving times, determine a weighted historical receiving times, and determine the particulate matter accumulation degree of the detection light emitting device and the receiving device according to the weighted historical receiving times. In other specific embodiments, the control device can also directly determine the particulate matter accumulation degree of the detection light emitting device and the receiving device based on the historical receiving times.

[0062] Step S206, based on the compensation coefficient inversely related to the particulate matter accumulation degree, compensating the detection information corresponding to the scattered light to determine the particulate matter concentration of the suspended particulate matter in the working device.

[0063] The compensation coefficient is a value that is inversely related to the accumulation degree of particulate matter. Since the accumulation of particulate matter on the equipment can interfere with the emission of detection light and the reception of scattered light, causing the detection information to deviate, the compensation coefficient is used to correct this deviation. When the accumulation degree of particulate matter increases, the compensation coefficient decreases accordingly; conversely, when the accumulation degree of particulate matter decreases, the compensation coefficient increases. By introducing the compensation coefficient, the detection information can be corrected to be closer to the true value. After the detection light emitted by the detection light emission device irradiates onto the suspended particulate matter in the working equipment, scattering occurs, producing scattered light. After the receiving device receives these scattered lights, it converts them into electrical signals or other processable signal forms, which contain information related to the suspended particulate matter, such as the intensity and angular distribution of the scattered light, collectively referred to as the detection information corresponding to the scattered light. These information is the basis for subsequent calculation of particulate matter concentration. Particulate matter concentration refers to the mass or number of suspended particulate matter per unit volume of air or other gas medium. It is an important indicator for measuring air quality and cleanliness of working environment.

[0064] Specifically, in the working process of the particulate matter concentration detection system, the detection light emission device continuously emits detection light, which irradiates onto the suspended particulate matter in the working equipment, producing scattered light, and the receiving device receives the scattered light and obtains the corresponding detection information. However, with the long-term use of the detection light emission device and the receiving device, the suspended particulate matter in the surrounding environment will inevitably be adsorbed on the surface and internal optical elements of the device, causing the accumulation degree of particulate matter to gradually increase. This accumulation of particulate matter can interfere with the detection process, causing the intensity of the received scattered light to weaken, the angular distribution to change, and other changes, resulting in deviation of the detection information corresponding to the scattered light, which cannot accurately reflect the true situation of the suspended particulate matter in the working equipment. To solve this problem, a compensation coefficient inversely related to the accumulation degree of particulate matter is introduced. By analyzing and modeling factors such as the running history of the device and environmental conditions, the corresponding compensation coefficient under different accumulation degrees of particulate matter can be determined. After obtaining the detection information corresponding to the scattered light, the compensation coefficient is used to compensate the detection information. Specifically, the detection information is multiplied by the compensation coefficient, and after such correction, the detection information can more accurately reflect the characteristics of the suspended particulate matter. Finally, based on the compensated detection information, specific algorithms and models can be used to determine the particulate matter concentration of the suspended particulate matter in the working equipment. For example, the control device can filter and amplify the collected detection information to eliminate noise interference and improve signal quality.

[0065] It can be understood that, in order to ensure the accuracy of the data, the obtained particulate matter concentration can be compared with the calibration data or verified using redundant sensors to ensure that the adjusted data is accurate. Furthermore, if the compensation coefficient exceeds a predetermined threshold, the detection can be suspended and the user can be reminded to clean or replace the sensor.

[0066] The particle concentration detection method, when the receiving device receives the scattered light corresponding to the suspended particles in the working device, first determines the historical receiving times of the receiving device. Since the historical receiving times reflect the use time of the detection device and the degree of possible lens contamination to some extent, the particle accumulation degree of the detection light emitting device and the receiving device can be accurately determined based on the historical receiving times. Further, the detection information corresponding to the scattered light is compensated using a compensation coefficient that is inversely related to the particle accumulation degree. This means that when the lens is highly contaminated (high particle accumulation degree), the compensation coefficient is adjusted accordingly, and the detection information is compensated to a greater extent to offset the effects of contamination on the detection light and scattered light. Conversely, when the lens is relatively clean (low particle accumulation degree), the compensation coefficient has a smaller effect. Through this dynamic compensation method, the detection error caused by lens contamination can be effectively eliminated, and the final determination of the particle concentration of the suspended particles in the working device is more accurate and reliable.

[0067] In one embodiment, as shown in Figure 3 The particle concentration detection method further comprises:

[0068] Step S301: Obtain the correction coefficient preset for the working device.

[0069] The correction coefficient is a pre-set numerical parameter that takes into account various factors that may affect the accuracy of particle accumulation degree detection. These factors include, but are not limited to, the temperature, humidity, and air pressure of the environment in which the working device is located, the running frequency and load of the device, and the historical use data of the detection system. The role of the correction coefficient is to correct the initially detected particle accumulation degree to improve the accuracy of subsequent calculations.

[0070] Specifically, in the particle concentration detection process, obtaining the correction coefficient preset for the working device is a crucial step. First, the environment in which the working device is located needs to be analyzed and evaluated in detail, including environmental temperature, humidity, air pressure, and other meteorological conditions, because these factors affect the movement and distribution of particles, and in turn affect the accumulation of particles on the detection device. At the same time, the running characteristics of the working device, such as running frequency and load size, need to be considered, as the amount and nature of particles generated under different operating conditions may be different. In addition, historical use data of the detection system should also be considered to understand the particle accumulation patterns of the device under different time periods and working conditions. By considering all these factors, a suitable correction coefficient is pre-set through experiments, simulation calculations, or experience summaries, and stored in the database of the detection system for future use.

[0071] In step S302, the particulate matter accumulation degree is corrected based on the correction coefficient to obtain a compensation coefficient inversely related to the particulate matter accumulation degree.

[0072] Specifically, the higher the particulate matter accumulation degree, the lower the compensation coefficient needs to be, and thus the particulate matter accumulation degree needs to be corrected based on the correction coefficient to obtain a compensation coefficient inversely related to the particulate matter accumulation degree.

[0073] For example, the particulate matter accumulation degree can be represented by a numerical value, and the compensation coefficient where Scumulative is the particulate matter accumulation degree, and k is the correction coefficient.

[0074] Suppose the particulate matter accumulation degree Scumulative = 50, and the correction coefficient k = 0.01, then the compensation coefficient C = 1 / (1+0.01 50) = 1 / 1.5 = 0.67.

[0075] On this basis, assuming that the detected monitoring information is S' = 50 (uncompensated), then the particulate matter concentration of the suspended particulate matter in the working equipment after compensation is: S = S' x C = 50 x 0.67 = 33.5.

[0076] In this embodiment, by obtaining the correction coefficient preset for the working equipment and correcting the particulate matter accumulation degree based on the coefficient, a compensation coefficient inversely related to the particulate matter accumulation degree can be accurately obtained. This process effectively eliminates the measurement errors caused by factors such as the characteristics of the working equipment itself, the operating environment, etc., greatly improving the accuracy and reliability of the particulate matter related data measurement, and providing a solid basis for subsequent process optimization, quality control and other decisions based on these data.

[0077] In one embodiment, as shown in FIG. 4, the preset method of the correction coefficient includes: Figure 4

[0078] In step S401, the device type of the working equipment is obtained.

[0079] The device type is a category identifier for classifying the working equipment according to its function, purpose, working principle, structural characteristics, etc. For example, in the field of air purification, the device type can be classified into electrostatic air purification equipment, filter air purification equipment, etc.; in industrial processing, it can be classified into numerical control machine tools, ordinary machine tools, etc.; in daily life, the device type can be a range hood.

[0080] ​Specifically, in actual operation, the step of obtaining the device type of the working device can be implemented in multiple ways. For example, a special device type identification module can be set in the control system or operation interface of the device, which can read the identification information built-in the device such as device model, serial number, etc., and then map these information to specific device type according to preset rules. Alternatively, the operator can select the type of the device through manual input on the relevant software system or operation terminal. In addition, the Internet of Things technology can be used to transmit the type information of the device to the data processing center in real time through sensors and network communication for acquisition. By accurately obtaining the device type of the working device, a foundation is laid for subsequent determination of appropriate correction coefficient, ensuring that the correction process can be carried out according to the specific characteristics of the device.

[0081] In step S402, the correction coefficient corresponding to the device type is determined according to the association relationship between the device type and the correction coefficient.

[0082] Specifically, after obtaining the device type, the control device accesses the pre-established association relationship database or model between the device type and the correction coefficient. This database or model is obtained through a large number of experiments and data analysis, which considers the error characteristics of different types of devices under different working environments, load conditions, etc. For example, for a certain type of particulate matter detection device, its measurement results may produce different degrees of deviation under different temperature and humidity environments. Through experiments and statistical analysis, the correction coefficient of this type of device under different environmental conditions is determined, and these information is stored in the association relationship. When the system obtains the device type, it will look up and determine the most suitable correction coefficient from the association relationship according to the current working environment parameters (such as temperature, humidity, etc.). This step can ensure that the correction coefficient is highly matched with the actual situation of the device, thereby improving the accuracy and effectiveness of the correction.

[0083] In this embodiment, the device type of the working device can be accurately obtained, providing key basic information for the subsequent correction process. Different types of working devices have different structures, working principles and use environments, and the errors produced in the measurement or operation process are also different. According to the device type and the pre-established association relationship between the device type and the correction coefficient, the correction coefficient suitable for the device can be accurately determined. This precise correction method can effectively eliminate the measurement errors or operation deviations caused by the characteristics of the device itself and environmental factors, greatly improving the accuracy of the measurement results and the stability of the device operation.

[0084] In one embodiment, as shown in FIG. 1, the method for correcting the measurement error of the particulate matter detection device includes the following steps: Figure 5 As shown in FIG. 1, based on the historical receiving times, the particulate matter accumulation degree of the detection light emitting device and the receiving device is determined, including:

[0085] Step S501, obtain the historical working time length of the working equipment.

[0086] The historical working time length refers to the cumulative working time of the working equipment from the start of use to the current time. It is usually measured in time units such as hours, days, etc., and reflects the frequency of use and the length of the running time of the working equipment, which is an important indicator for evaluating the degree of equipment wear, the total amount of particulate matter generated, and the degree of influence of the equipment on the surrounding environment.

[0087] Specifically, obtaining the historical working time length of the working equipment is a basic and key step in the particulate matter concentration detection process. In order to accurately obtain this data, a special timing device is usually installed on the working equipment, which can accurately record the start and stop time of the equipment each time, and store these time data. When the historical working time length needs to be obtained, the detection system reads the relevant data from the timing device and performs calculation and summary. For example, for an industrial equipment that runs 8 hours a day, the timing device will record the running time period each day, and the detection system will accumulate the running time of the month at the end of each month to obtain the historical working time length of the month, and also accumulate the total historical working time length since the equipment was put into use. In this way, the use of the working equipment can be fully and accurately mastered, providing reliable data support for subsequent analysis and calculation.

[0088] Step S502, determine the dynamic weight factor corresponding to the historical working time length, analyze the dynamic weight factor and the historical receiving times to determine the weighted historical receiving times.

[0089] The dynamic weight factor is positively correlated with the historical working time length. The dynamic weight factor is a parameter that changes with the historical working time length of the working equipment. It is positively correlated with the historical working time length, which means that the longer the historical working time length, the greater the value of the dynamic weight factor. The role of the dynamic weight factor is to weight the historical receiving times to more accurately reflect the influence of the receiving equipment receiving scattered light under different working time on the detection of particulate matter concentration. The weighted historical receiving times are a new value obtained by combining the historical receiving times with the dynamic weight factor. By multiplying the historical receiving times by the dynamic weight factor, the historical receiving times under different historical working time lengths have different weights, thus more reasonably reflecting their importance and influence in the detection of particulate matter concentration.

[0090] Specifically, a dynamic weight factor corresponding to the historical working time is determined, and the dynamic weight factor and the historical receiving times are analyzed to determine the weighted historical receiving times, so as to more accurately evaluate the particulate matter concentration. Since the historical working time of the working equipment is different, the amount and characteristics of the particulate matter generated thereby are also different, and therefore the weight of the historical receiving times needs to be adjusted according to the historical working time. First, a positive correlation between the dynamic weight factor and the historical working time is determined by establishing a mathematical model or fitting experimental data. Then, the calculated dynamic weight factor is multiplied by the historical receiving times to obtain the weighted historical receiving times. For example, if the historical working time of a working equipment is long, the calculated dynamic weight factor is large, and therefore the historical receiving times will have a greater impact on the evaluation of the particulate matter concentration after weighting. In this way, the influence of the particulate matter generation of the equipment under different working times on the detection result can be more reasonably reflected, and the accuracy of the detection can be improved.

[0091] In step S503, the particulate matter accumulation degree of the detection light emitting equipment and the receiving equipment is determined according to the weighted historical receiving times.

[0092] Specifically, according to the weighted historical receiving times, the particulate matter accumulation degree of the detection light emitting equipment and the receiving equipment can be directly determined. It can be understood that the weighted historical receiving times are positively correlated with the particulate matter accumulation degree.

[0093] In this embodiment, by obtaining the historical working time of the working equipment and determining the dynamic weight factor corresponding thereto to calculate the weighted historical receiving times, the particulate matter concentration can be more scientifically evaluated. The historical working time reflects the use intensity of the working equipment and the potential possibility of particulate matter generation, and the dynamic weight factor reasonably weights the historical receiving times according to the length of time. In this way, the detection data under different working times can be more appropriately weighted, and the deviation of the detection result caused by the difference in the use time of the equipment is avoided.

[0094] In one embodiment, as shown in FIG. 6, the particulate matter concentration detection method further includes: Figure 6

[0095] In step S601, a plurality of compensation coefficient threshold ranges are obtained.

[0096] The compensation coefficient threshold range is a series of value intervals of the compensation coefficient preset according to different application scenarios, equipment characteristics, and detection accuracy requirements, and the like. These threshold ranges can divide the compensation coefficient into different levels or categories, and each range corresponds to different equipment states or cleaning requirements.

[0097] ​Specifically, obtaining multiple compensation coefficient threshold ranges is the basic preparation work of the whole process. The setting of these threshold ranges needs to consider multiple factors. On the one hand, it is necessary to set appropriate threshold ranges according to the specific model and performance parameters of the detection equipment. Different models of equipment have different adsorption capacity and detection sensitivity for particulate matter, so it is necessary to set appropriate threshold ranges. On the other hand, the working environment of the working equipment needs to be considered, such as the concentration of particulate matter, humidity, temperature, etc. In a high particulate matter concentration environment, the equipment is more likely to adsorb particulate matter, and the threshold range may need to be more stringent. In addition, historical detection data and experimental results also need to be referred to, through a large number of actual detection and simulation experiments, the detection accuracy and stability of the equipment under different compensation coefficients are analyzed, so as to determine scientific and reasonable multiple compensation coefficient threshold ranges, and store these ranges in the database of the detection system for subsequent calling.

[0098] Step S602, among the multiple compensation coefficient threshold ranges, the target threshold range to which the compensation coefficient belongs is determined.

[0099] Among them, the target threshold range is the specific threshold range to which the compensation coefficient belongs, which is determined by comparing the compensation coefficient calculated at present with the multiple compensation coefficient threshold ranges obtained. The target threshold range reflects the degree to which the current equipment is affected by the accumulation of particulate matter.

[0100] Specifically, determining the target threshold range to which the compensation coefficient belongs among the multiple compensation coefficient threshold ranges is a key analysis and judgment link. After the detection system calculates the current compensation coefficient, it will compare it with the multiple compensation coefficient threshold ranges stored in advance one by one. The system will check whether the compensation coefficient falls within a certain threshold range in order from small to large or from large to small. For example, if there are three threshold ranges [0, 0.3), [0.3, 0.6), [0.6, 1], when the calculated compensation coefficient is 0.4, it can be determined through comparison that the target threshold range it belongs to is [0.3, 0.6). This step can accurately locate the state interval of the current compensation coefficient, and provide a basis for generating a corresponding cleaning signal.

[0101] Step S603, a cleaning signal corresponding to the target threshold range is generated.

[0102] Among them, the cleaning signal is an indication signal, which is generated when the target threshold range to which the compensation coefficient belongs reaches a certain condition (usually indicating that the accumulation of particulate matter on the equipment is more serious). The signal is used to trigger the cleaning operation of the detection light emitting device and the receiving device to remove the adsorbed particulate matter on the surface and internal optical elements of the equipment, and restore the normal detection performance of the equipment.

[0103] Specifically, after determining the target threshold range to which the compensation coefficient belongs, the system determines whether a cleaning signal needs to be generated according to a preset rule. Generally, when the target threshold range indicates that the accumulation of particulate matter on the device has reached a certain degree, which may affect the detection accuracy, the system generates a cleaning signal. The cleaning signal can be presented in various forms, such as a prompt window popping up on the operation interface to remind the operator to clean the device, or by sending an electrical signal to an automatic cleaning device to trigger an automatic cleaning process. The generated cleaning signal can timely notify relevant personnel or equipment to take cleaning measures, ensuring the normal operation of the detection system.

[0104] In this embodiment, by obtaining a plurality of compensation coefficient threshold ranges and determining the target threshold range to which the compensation coefficient belongs, and then generating a corresponding cleaning signal, intelligent judgment and processing of the cleaning needs of the detection device are realized. This way can accurately trigger the cleaning operation according to the actual particulate matter accumulation of the device, avoiding resource waste and device wear caused by excessive cleaning, and also preventing the detection accuracy from declining due to untimely cleaning. Timely and effective cleaning can ensure that the detection light emitting device and the receiving device are always in good working condition, improving the reliability and stability of particulate matter concentration detection, providing more accurate data support for industrial production, environmental monitoring and other fields, and helping to ensure production safety and environmental quality.

[0105] In one embodiment, as shown in Figure 1 , a particulate matter concentration detection system is also provided, which includes a detection light emitting device 104 arranged on one side of a working device, a receiving device 106 arranged on the other side of the working device, and a control device 102; the control device 102 is connected to the detection light emitting device 104 and the receiving device 106.

[0106] The detection light emitting device 104 is used to emit detection light for the suspended particulate matter in the working device.

[0107] The receiving device 106 is used to receive the scattered light corresponding to the suspended particulate matter in the working device; the scattered light is obtained by scattering the detection light emitted by the detection light emitting device 104 on the suspended particulate matter.

[0108] The control device 102 is used to implement the method of any one of the above embodiments.

[0109] This embodiment corresponds to the content of the above particulate matter concentration detection method, which will not be repeated here.

[0110] In one embodiment, as shown in Figure 7 , the detection light receiving path of the receiving device intersects the detection light emitting path of the detection light emitting device.

[0111] The detection light receiving path refers to the route that the light scattered by the particulate matter in the detection area propagates to the receiving device. This path is influenced by various factors, including the spatial layout of the detection area, the distribution of the particulate matter, and the position and angle of the receiving device. It determines the intensity and characteristics of the scattered light that the receiving device can receive. As shown in FIG. 8, the detection light receiving path refers to the path on the left, and the detection light emitting path refers to the path on the right. Figure 7

[0112] The detection light emitting path refers to the route that the detection light propagates from the emitting device to the detection area. Its direction, intensity, and coverage range affect the interaction between the detection light and the particulate matter, which in turn affects the generation and distribution of the scattered light.

[0113] Specifically, to achieve accurate particulate matter concentration detection, the detection light receiving path of the receiving device and the detection light emitting path of the detection light emitting device are carefully designed to intersect, allowing data to be collected through diffuse reflection. The detection light emitting device, such as a high-power laser emitter, emits detection light of a specific wavelength according to predetermined parameters. These detection lights follow a predetermined detection light emitting path and are emitted at a certain angle and intensity towards the detection area. In the detection area, there are a large number of suspended particulate matter. When the detection light encounters these particulate matter, scattering occurs, generating scattered light. The receiving device is in a suitable position, with its detection light receiving path intersecting the detection light emitting path at the detection area. In this way, the receiving device can effectively receive the light signals scattered by the particulate matter. The high-sensitivity optical receiving elements in the receiving device capture these scattered lights and convert them into electrical signals. Through processing and analysis of these electrical signals, combined with relevant algorithms and models, the concentration of particulate matter in the detection area can be accurately calculated.

[0114] In one embodiment, the detection light emitting device further comprises a beam shaping module and a laser emitting module; the beam shaping module is arranged on the light emitting path of the laser emitting module and is used to shape the laser beam emitted by the laser emitting module into a uniform parallel beam.

[0115] The beam shaping module is an important component of the detection light emitting device, which is an optical element or a combination of optical elements. Its main function is to adjust the shape and properties of the input light beam. Through specific optical design, it changes the divergence angle, light intensity distribution, and other parameters of the light beam, shaping the light beam into a specific shape and characteristics that meet the detection requirements. The light emitting path refers to the spatial route that the laser beam emitted by the laser emitting module propagates from generation to departure from the laser emitting module. Various optical elements can be arranged on this path as needed to process and adjust the laser beam.

[0116] ​Specifically, the detection light emitting device as a whole is a complex and precise optical system, and the laser emitting module as its core part can generate a high-power and high-monochromaticity laser beam. However, the laser beam directly emitted by the laser emitting module often has a certain divergence angle, and the light intensity distribution may not be uniform enough, which will affect the subsequent interaction effect with the particulate matter in the detection area and the accuracy of the detection signal. Therefore, the beam shaping module is ingeniously arranged on the light path of the laser emitting module. The beam shaping module is usually composed of multiple lenses, mirrors and other optical elements. Through precise optical design and arrangement, these elements can comprehensively shape the laser beam emitted by the laser emitting module. It adjusts the divergence angle of the beam, so that the originally divergent light gradually becomes parallel, and optimizes the light intensity distribution, shaping the beam into a uniform parallel beam. The parallel beam processed by the beam shaping module has the characteristics of good directionality and uniform light intensity, and can be more stably irradiated to the detection area, providing good optical conditions for subsequent accurate detection of particulate matter concentration.

[0117] In one specific embodiment, as shown in Figure 8 A particulate matter concentration detection method is also provided, comprising:

[0118] Step S801, in the case that the receiving device receives scattered light corresponding to the suspended particulate matter in the working device, determining the historical receiving times of the receiving device;

[0119] Wherein, the scattered light is obtained by scattering the detection light emitted by the detection light emitting device on the suspended particulate matter;

[0120] Step S802, obtaining the historical working time length of the working device;

[0121] Step S803, determining a dynamic weight factor corresponding to the historical working time length, analyzing the dynamic weight factor and the historical receiving times to determine a weighted historical receiving time;

[0122] Wherein, the dynamic weight factor is positively correlated with the historical working time length;

[0123] Step S804, determining the particulate matter accumulation degree of the detection light emitting device and the receiving device according to the weighted historical receiving time;

[0124] Step S805, obtaining the device type of the working device, and determining the correction coefficient corresponding to the device type according to the association relationship between the device type and the correction coefficient;

[0125] Step S806, correcting the particulate matter accumulation degree based on the correction coefficient to obtain a compensation coefficient inversely related to the particulate matter accumulation degree;

[0126] Step S807, compensating the detection information corresponding to the scattered light based on the compensation coefficient which is inversely related to the accumulation degree of the particulate matter, to determine the particulate matter concentration of the suspended particulate matter in the working device;

[0127] Step S808, obtaining a plurality of compensation coefficient threshold ranges, and determining a target threshold range to which the compensation coefficient belongs in each compensation coefficient threshold range;

[0128] Step S809, generating a cleaning signal corresponding to the target threshold range.

[0129] It should be understood that, although each step in the flowchart involved in the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0130] Based on the same inventive concept, the embodiments of the present application also provide a particulate matter concentration detection device for implementing the above-mentioned particulate matter concentration detection method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more particulate matter concentration detection device embodiments provided below can refer to the limitations of the particulate matter concentration detection method in the above text, and will not be repeated here.

[0131] In one embodiment, as shown in Figure 9 A particulate matter concentration detection device 900 is provided, comprising a historical receiving frequency determination module 902, an accumulation degree determination module 904, and a particulate matter concentration determination module 906, wherein:

[0132] The historical receiving frequency determination module 902 is configured to determine the historical receiving frequency of the receiving device when the receiving device receives the scattered light of the suspended particulate matter in the working device, wherein the scattered light is obtained by detecting the scattering of the detection light emitted by the detection light emitting device on the suspended particulate matter.

[0133] The accumulation degree determination module 904 is configured to determine the particulate matter accumulation degree of the detection light emitting device and the receiving device based on the historical receiving frequency.

[0134] The particulate matter concentration determination module 906 is configured to compensate the detection information corresponding to the scattered light based on the compensation coefficient that is inversely related to the particulate matter accumulation degree, and determine the particulate matter concentration of the suspended particulate matter in the working device.

[0135] In an embodiment, the particulate matter concentration detection apparatus 900 further includes a compensation coefficient determination module, which is specifically configured to:

[0136] obtain a correction coefficient preset for the working device;

[0137] correct the particulate matter accumulation degree based on the correction coefficient, to obtain the compensation coefficient that is inversely related to the particulate matter accumulation degree.

[0138] In an embodiment, the particulate matter concentration detection apparatus 900 further includes a correction coefficient preset module, which is specifically configured to:

[0139] obtain the device type of the working device;

[0140] determine the correction coefficient corresponding to the device type according to the device type and the association relationship between the device type and the correction coefficient.

[0141] In an embodiment, the accumulation degree determination module 904 is specifically configured to:

[0142] obtain the historical working duration of the working device;

[0143] determine a dynamic weight factor corresponding to the historical working duration, analyze the dynamic weight factor and the historical receiving times, and determine the weighted historical receiving times; the dynamic weight factor is positively related to the historical working duration;

[0144] determine the particulate matter accumulation degree of the detection light emitting device and the receiving device according to the weighted historical receiving times.

[0145] In an embodiment, the particulate matter concentration detection apparatus 900 further includes a cleaning signal generation module, which is specifically configured to:

[0146] obtain a plurality of compensation coefficient threshold ranges;

[0147] determine a target threshold range to which the compensation coefficient belongs in the compensation coefficient threshold ranges;

[0148] generate a cleaning signal corresponding to the target threshold range.

[0149] The above modules in the particulate matter concentration detection apparatus can be all or partially implemented by software, hardware, and combinations thereof. The above modules can be embedded in or independent of a processor in a computer device in a hardware form, or stored in a memory in a computer device in a software form, so as to be called and executed by a processor to perform the operations corresponding to the above modules.

[0150] In one embodiment, a computer device is provided, which can be a terminal, and an internal structure diagram thereof can be as shown in the figure. Figure 10 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capability. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be realized through WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to realize a particulate matter concentration detection method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0151] Those skilled in the art can understand that Figure 10 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0152] In one embodiment, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the following steps:

[0153] In the case that the receiving device receives the scattered light corresponding to the suspended particulate matter in the working device, the historical receiving times of the receiving device are determined; the scattered light is obtained by detecting the scattering of the detection light emitted by the detection light emitting device on the suspended particulate matter;

[0154] Based on the historical receiving times, the particulate matter accumulation degree of the detection light emitting device and the receiving device is determined;

[0155] Compensate the detection information corresponding to the scattered light based on the compensation coefficient which is inversely related to the accumulation degree of the particulate matter, to determine the particulate matter concentration of the particulate matter in the working equipment.

[0156] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0157] Obtaining a correction coefficient preset for the working equipment;

[0158] Correcting the accumulation degree of the particulate matter based on the correction coefficient, to obtain the compensation coefficient which is inversely related to the accumulation degree of the particulate matter.

[0159] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0160] Obtaining a device type of the working equipment;

[0161] According to the device type and the association relationship between the device type and the correction coefficient, determining the correction coefficient corresponding to the device type.

[0162] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0163] Obtaining a historical working duration of the working equipment;

[0164] Determining a dynamic weight factor corresponding to the historical working duration, and analyzing the dynamic weight factor and the historical receiving times to determine a weighted historical receiving times; the dynamic weight factor is positively related to the historical working duration;

[0165] According to the weighted historical receiving times, determining the accumulation degree of the particulate matter of the detection light emitting device and the receiving device.

[0166] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0167] Obtaining a plurality of compensation coefficient threshold ranges;

[0168] In each of the compensation coefficient threshold ranges, determining a target threshold range to which the compensation coefficient belongs;

[0169] Generating a cleaning signal corresponding to the target threshold range.

[0170] In one embodiment, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the following steps:

[0171] In a case where the receiving device receives scattered light corresponding to the suspended particulate matter in the working device, a historical receiving number of times of the receiving device is determined; the scattered light is obtained by detecting scattering of detection light emitted by a detection light emitting device on the suspended particulate matter;

[0172] Based on the historical receiving number of times, a particulate matter accumulation degree of the detection light emitting device and the receiving device is determined;

[0173] Based on a compensation coefficient inversely related to the particulate matter accumulation degree, detection information corresponding to the scattered light is compensated to determine a particulate matter concentration of the suspended particulate matter in the working device.

[0174] In an embodiment, the computer program, when executed by the processor, further implements the following steps:

[0175] A correction coefficient preset for the working device is obtained;

[0176] Based on the correction coefficient, the particulate matter accumulation degree is corrected to obtain the compensation coefficient inversely related to the particulate matter accumulation degree.

[0177] In an embodiment, the computer program, when executed by the processor, further implements the following steps:

[0178] A device type of the working device is obtained;

[0179] According to the device type and an association relationship between the device type and the correction coefficient, a correction coefficient corresponding to the device type is determined.

[0180] In an embodiment, the computer program, when executed by the processor, further implements the following steps:

[0181] A historical working time length of the working device is obtained;

[0182] A dynamic weight factor corresponding to the historical working time length is determined, and a weighted historical receiving number of times is determined by analyzing the dynamic weight factor and the historical receiving number of times; the dynamic weight factor is positively related to the historical working time length;

[0183] According to the weighted historical receiving number of times, a particulate matter accumulation degree of the detection light emitting device and the receiving device is determined.

[0184] In an embodiment, the computer program, when executed by the processor, further implements the following steps:

[0185] A plurality of compensation coefficient threshold ranges are obtained;

[0186] In each of the compensation coefficient threshold ranges, a target threshold range to which the compensation coefficient belongs is determined;

[0187] generate a cleaning signal corresponding to the target threshold range.

[0188] In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the following steps:

[0189] In a case where the receiving device receives scattered light corresponding to the suspended particulate matter in the working device, determine a historical receiving times of the receiving device; the scattered light is obtained by detecting scattering of detection light emitted by a detection light emitting device on the suspended particulate matter;

[0190] Based on the historical receiving times, determine the particulate matter accumulation degree of the detection light emitting device and the receiving device;

[0191] Based on a compensation coefficient inversely related to the particulate matter accumulation degree, compensate the detection information corresponding to the scattered light to determine the particulate matter concentration of the suspended particulate matter in the working device.

[0192] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0193] Obtain a correction coefficient preset for the working device;

[0194] Based on the correction coefficient, correct the particulate matter accumulation degree to obtain a compensation coefficient inversely related to the particulate matter accumulation degree.

[0195] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0196] Obtain a device type of the working device;

[0197] According to the device type and the association relationship between the device type and the correction coefficient, determine the correction coefficient corresponding to the device type.

[0198] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0199] Obtain a historical working duration of the working device;

[0200] Determine a dynamic weight factor corresponding to the historical working duration, and analyze the dynamic weight factor and the historical receiving times to determine a weighted historical receiving times; the dynamic weight factor is positively related to the historical working duration;

[0201] According to the weighted historical receiving times, determine the particulate matter accumulation degree of the detection light emitting device and the receiving device.

[0202] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0203] obtaining a plurality of compensation coefficient threshold ranges;

[0204] determining a target threshold range to which the compensation coefficient belongs in each of the compensation coefficient threshold ranges;

[0205] generating a cleaning signal corresponding to the target threshold range.

[0206] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0207] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0208] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0209] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A particulate matter concentration detection method characterized by, The method comprises: In the case that the receiving device receives the scattered light corresponding to the suspended particulate matter in the working device, the historical receiving times of the receiving device are determined; the scattered light is obtained by scattering the detection light emitted by the detection light emitting device on the suspended particulate matter; The historical working time length of the working device is obtained; The dynamic weight factor corresponding to the historical working time length is determined, and the weighted historical receiving times are determined by analyzing the dynamic weight factor and the historical receiving times; the dynamic weight factor is positively correlated with the historical working time length; According to the weighted historical receiving times, the particulate matter accumulation degree of the detection light emitting device and the receiving device is determined; Based on the compensation coefficient which is inversely related to the particulate matter accumulation degree, the detection information corresponding to the scattered light is compensated to determine the particulate matter concentration of the suspended particulate matter in the working device.

2. The method of claim 1, wherein, The method further comprises: A correction coefficient preset for the working device is obtained; The particulate matter accumulation degree is corrected based on the correction coefficient to obtain the compensation coefficient which is inversely related to the particulate matter accumulation degree.

3. The method of claim 2, wherein, The preset method of the correction coefficient comprises: The device type of the working device is obtained; According to the device type and the correlation between the device type and the correction coefficient, the correction coefficient corresponding to the device type is determined.

4. The method of claim 1, wherein, The method further comprises: A plurality of compensation coefficient threshold ranges are obtained; In each of the compensation coefficient threshold ranges, the target threshold range to which the compensation coefficient belongs is determined; A cleaning signal corresponding to the target threshold range is generated.

5. A particulate matter concentration detection system characterized by, The detection light emitting device, the receiving device, and the control device are arranged on one side of the working device; the control device is connected to the detection light emitting device and the receiving device; The detection light emitting device is used to emit detection light for the suspended particulate matter in the working device; The receiving device is used to receive the scattered light corresponding to the suspended particulate matter in the working device; the scattered light is obtained by scattering the detection light emitted by the detection light emitting device on the suspended particulate matter; The control device is used to implement the method according to any one of claims 1 to 4.

6. The particulate matter concentration detection system according to claim 5, characterized by, The detection light receiving path of the receiving device intersects with the detection light emitting path of the detection light emitting device.

7. The particulate matter concentration detection system according to claim 5, characterized by, The detection light emitting device further comprises a light beam shaping module and a laser emitting module; The light beam shaping module is arranged on the light emitting path of the laser emitting module and is used to shape the laser beam emitted by the laser emitting module into a uniform parallel light beam.

8. A particulate matter concentration detecting device characterized by comprising: The device comprises: A historical receiving times determination module is configured to determine the historical receiving times of the receiving device in the case that the receiving device receives the scattered light corresponding to the suspended particulate matter in the working device; the scattered light is obtained by scattering the detection light emitted by the detection light emitting device on the suspended particulate matter; An accumulation degree determination module is configured to obtain the historical working time length of the working device; A dynamic weight factor corresponding to the historical working time length is determined, and a weighted historical receiving frequency is determined by analyzing the dynamic weight factor and the historical receiving frequency; the dynamic weight factor is positively correlated with the historical working time length; According to the weighted historical receiving frequency, a particle accumulation degree of the detection light emitting device and the receiving device is determined; A particle concentration determination module is configured to compensate detection information corresponding to the scattered light based on a compensation coefficient that is inversely correlated with the particle accumulation degree, and determine a particle concentration of suspended particles in the working device. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the particle concentration detection method in any one of claims 1 to 4.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the particle concentration detection method in any one of claims 1 to 4.

11. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the particle concentration detection method in any one of claims 1 to 4.

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