Method and system for on-line detection and analysis of dust concentration in building material production workshop and medium

Abstract

The application relates to a building material production workshop dust concentration online detection analysis method, a system and a medium, relates to the technical field of dust concentration detection, and comprises the following steps: obtaining a dust detection trigger signal; according to the dust detection trigger signal, the preset detection bin is controlled to be opened to drive dust-containing air into the detection bin to determine a dust pre-detection concentration of the building material production workshop; according to the dust pre-detection concentration, the preset communication auxiliary bin is controlled to be communicated with the detection bin to balance the concentration of the detection bin to determine a concentration balance trigger signal; the balanced detection concentration is obtained based on the concentration balance trigger signal; and the balanced detection concentration is analyzed to determine an actual dust detection concentration and is output. The application has the effect of improving the accuracy of dust concentration detection of the building material production workshop.

Description

Technical Field

[0001] This application relates to the technical field of dust concentration detection, and in particular to online detection and analysis methods, systems and media for dust concentration in building material production workshops. Background Technology

[0002] Building material production workshops are places with serious dust hazards. Long-term inhalation of the mineral dust produced can lead to cement pneumoconiosis or silicosis.

[0003] In related technologies, a mobile cart carrying dust concentration detection equipment is used to move and detect dust concentration in a building materials production workshop. A sampling pump draws dust-containing air from the workshop into the detection chamber through an air inlet pipe. A laser inside the detection chamber irradiates the dust particles in the airflow, and the dust particles generate scattered light. After the photodetector inside the detection chamber collects the scattered light signal, it is converted into dust concentration data through a built-in algorithm, thereby quickly detecting the dust concentration in the building materials production workshop.

[0004] Regarding the aforementioned technologies, the dust concentration in building material production workshops fluctuates significantly. In areas with high dust concentrations, such as silo openings and crushers, the current dust concentration detection equipment has insufficient upper range, easily leading to concentrations exceeding the equipment's range. This results in inaccurate dust concentration detection in building material production workshops, and there is room for improvement. Summary of the Invention

[0005] To improve the accuracy of dust concentration detection in building material production workshops, this application provides an online dust concentration detection and analysis method, system, and medium for building material production workshops.

[0006] Firstly, this application provides a method for online detection and analysis of dust concentration in building material production workshops, employing the following technical solution: Online detection and analysis methods for dust concentration in building materials production workshops include: Acquire the dust detection trigger signal; The dust detection trigger signal controls the opening of the preset detection chamber, driving dust-containing air into the detection chamber to determine the pre-detection concentration of dust in the building materials production workshop. Based on the dust pre-detection concentration control, the preset connection between the auxiliary chamber and the detection chamber is balanced to determine the concentration balance trigger signal; The equilibrium detection concentration is obtained based on the concentration equilibrium trigger signal; The equilibrium detection concentration is analyzed to determine and output the actual dust detection concentration.

[0007] Optionally, the step of controlling the pre-set concentration balance between the connected auxiliary chamber and the detection chamber based on the dust pre-detection concentration to determine the concentration balance trigger signal includes: Obtain the upper limit of dust concentration detection; Determine whether the dust pre-detection concentration meets the upper limit requirement for dust concentration detection; If the conditions are met, the dust pre-detection concentration will be defined as the actual dust detection concentration and output. If not, obtain the number of connected secondary warehouses opened; The concentration in the detection chamber is balanced by controlling the number of connected secondary chambers open to determine the concentration balance trigger signal.

[0008] Optionally, the steps for obtaining the upper limit of dust concentration detection include: Obtain the particle size of dust; The actual dust mass scattering efficiency coefficient is found by referring to the preset particle size scattering efficiency correspondence relationship. Calculate the quotient of the preset standard dust mass scattering efficiency coefficient and the actual dust mass scattering efficiency coefficient to generate the detection upper limit correction coefficient; The upper limit of dust concentration is generated by multiplying the upper limit of detection correction factor by the preset standard concentration upper limit of detection.

[0009] Optionally, the steps to obtain the number of connected secondary warehouses open include: Obtain the concentration saturation rise time and the scattered light rise rate; The concentration saturation rise time and scattered light rise rate are calculated based on a preset concentration estimation model to generate a rough estimate of dust concentration. The concentration dilution factor is determined based on the rough estimate of dust concentration and the upper limit of dust concentration detection. Obtain the residual pressure in the connected secondary compartment and the pressure in the detection compartment; The preset volume of the connected secondary compartment is corrected based on the ratio of the residual pressure of the connected secondary compartment and the pressure of the detection compartment, so as to generate the effective expansion volume of the secondary compartment. The concentration dilution factor, the preset detection chamber volume, and the effective expansion volume of the auxiliary chamber are analyzed to determine the number of connected auxiliary chambers to be opened.

[0010] Optionally, the step of controlling the connection between the connected auxiliary compartment and the detection compartment to balance the concentration in the detection compartment based on the number of connected auxiliary compartments opened to determine the concentration balance trigger signal includes: Determine the combination dilution factor and the corresponding feasible combination of connected sub-warehouses based on the number of connected sub-warehouses opened; The actual measurement error is determined based on feasible interconnected sub-compartment combinations; The actual measurement error and combined dilution factors were analyzed to determine the dilution measurement error; The combined dilution factors were analyzed to determine the sedimentation measurement error; The actual total error is determined based on the dilution measurement error and the sedimentation measurement error; The feasible connected secondary warehouse combinations are screened based on the actual total error to determine the actual connected secondary warehouse combinations; The concentration in the detection chamber is balanced by controlling the connection between the actual connected secondary chamber and the detection chamber to determine the concentration balance trigger signal.

[0011] Optionally, the steps of analyzing the equilibrium detection concentration to determine and output the actual dust detection concentration include: Obtain the current dilution factor, current chamber temperature, and current chamber pressure; The equilibrium detection concentration, current dilution factor, current chamber temperature, and current chamber pressure are calculated based on a preset environmental concentration model to generate the basic dust concentration. Obtain the dust settling correction factor; Calculate the product of the dust settling correction factor and the base dust concentration to generate the dust correction concentration; The actual dust concentration is determined and output based on the dust correction concentration.

[0012] Optionally, the steps for obtaining the dust settling correction factor include: Obtain the current dust particle size and diffusion equilibrium time; The dust settling correction coefficient is generated by calculating the current dust particle size and diffusion equilibrium time based on the preset settling correction model.

[0013] Optionally, the steps of determining and outputting the actual dust detection concentration based on the dust correction concentration include: Get the current detection concentration limit; Determine whether the dust correction concentration meets the current upper limit requirement for the detection concentration; If the conditions are met, the dust correction concentration will be determined as the actual dust detection concentration and output. If it does not meet the requirements, the control unit will perform multiple dilutions to determine the concentration of each dilution. The dilution concentration weights are determined based on multiple dilution concentrations and the current upper limit of the detection concentration. The concentrations of multiple dilutions are weighted and fused according to the dilution concentration weights to determine and output the actual dust detection concentration.

[0014] Secondly, this application provides an online dust concentration detection and analysis system for building material production workshops, which adopts the following technical solution: An online dust concentration detection and analysis system for building materials production workshops includes: The acquisition module is used to acquire the dust detection trigger signal and the equilibrium detection concentration; A memory for storing the program of the online detection and analysis method for dust concentration in a building materials production workshop as described in any of the above-mentioned methods; The processor and the program in the memory can be loaded and executed by the processor to implement the online detection and analysis method for dust concentration in building material production workshops as described in any of the above.

[0015] Thirdly, this application provides a computer storage medium capable of storing corresponding programs, which facilitates improving the accuracy of dust concentration detection in building material production workshops, and adopts the following technical solution: A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the online detection and analysis method for dust concentration in a building materials production workshop as described above.

[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. When the pre-detection concentration of dust does not meet the upper limit of dust concentration detection, the concentration of the detection chamber is balanced by controlling the number of open connected auxiliary chambers and the detection chamber, so that the dust concentration in different chambers falls within the detection range of the sensor, and the balanced detection concentration is obtained. Then, the actual detection concentration of dust is determined based on the balanced detection concentration, thereby overcoming the problem of excessively high local dust concentration in the building materials production workshop, and thus improving the accuracy of dust concentration detection in the building materials production workshop. 2. Determine the combined dilution factor and the corresponding feasible combined connected sub-compartments by the number of connected sub-compartments opened. Determine the actual total error based on the combined dilution factor and the corresponding feasible combined connected sub-compartments. Then, screen the feasible combined connected sub-compartments based on the actual total error to determine the actual combined connected sub-compartments. The actual combined connected sub-compartments are used to control the connection between the connected sub-compartments and the detection compartment to balance the concentration in the detection compartment, which ensures the effectiveness of the balanced concentration and reduces the error of concentration detection. 3. When the dust correction concentration does not meet the upper limit of the current detection concentration, the connected auxiliary compartment is controlled to perform multiple dilutions to continue to reduce the dust concentration in each compartment until it falls within the range. The concentrations of multiple dilutions are then determined, and the multiple dilution concentrations are weighted and fused according to the dilution concentration weights to determine the actual dust detection concentration, thereby improving the accuracy of the actual dust detection concentration. Attached Figure Description

[0017] Figure 1 This is a flowchart of the online detection and analysis method for dust concentration in a building materials production workshop, as described in this application.

[0018] Figure 2 This is a flowchart of the steps in this application embodiment to control the pre-set connected auxiliary chamber and the detection chamber to balance the concentration of the detection chamber based on the dust pre-detection concentration to determine the concentration balance trigger signal.

[0019] Figure 3 This is a flowchart of the steps for obtaining the upper limit of dust concentration detection in the embodiments of this application.

[0020] Figure 4 This is a flowchart of the steps for obtaining the number of connected secondary warehouses opened in the embodiments of this application.

[0021] Figure 5 This is a flowchart of the steps in this application embodiment to control the connection between the connected secondary compartment and the detection compartment to balance the concentration in the detection compartment based on the number of connected secondary compartments opened, and to determine the concentration balance trigger signal.

[0022] Figure 6 This is a flowchart of the steps in this application embodiment to analyze the equilibrium detection concentration, determine the actual dust detection concentration, and output it.

[0023] Figure 7 This is a flowchart of the steps for obtaining the dust settling correction coefficient in the embodiments of this application.

[0024] Figure 8 This is a flowchart of the steps in this application embodiment to determine and output the actual dust detection concentration based on the dust correction concentration. Detailed Implementation

[0025] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 8 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0026] Reference Figure 1 This application discloses an online detection and analysis method for dust concentration in a building materials production workshop, including the following steps: Step S100: Obtain the dust detection trigger signal.

[0027] The dust detection trigger signal is a trigger command for dust concentration detection in the building materials production workshop. Essentially, the dust detection trigger signal is a level transition signal or digital communication message received by the processing terminal, indicating that the concentration detection equipment has started dust concentration detection. It can be obtained by the operator through the interactive interface of the processing terminal, or it can be automatically triggered by the timing module according to the set time period to perform periodic dust concentration detection. It can also be sent to the processing terminal by monitoring the equipment dynamics in the building materials production workshop through the monitoring system to determine when the equipment is in working condition.

[0028] Step S101: Control the preset detection chamber to open according to the dust detection trigger signal, so that dust-containing air enters the detection chamber to determine the dust pre-detection concentration in the building materials production workshop.

[0029] When the processing terminal receives a dust detection trigger signal, it responds to the signal by opening the detection chamber, which in turn drives dust-laden air from the building materials production workshop into the chamber. This allows the processing terminal to obtain the pre-detection concentration of dust in the building materials production workshop, providing data support for determining whether the dust concentration exceeds the upper limit of the detection range of the chamber.

[0030] The testing chamber is a container used to sample dust-laden air in building materials production workshops. It is a rigid, sealed cavity, and its volume is determined by the operator. A purge valve is connected to the testing chamber; before air sampling, the purge valve blows out all air and dust from the chamber to prevent residual dust from affecting the accuracy of dust concentration detection. A vacuum valve is also connected to the testing chamber. After the dust is purged through the purge valve, the vacuum valve evacuates the chamber. A pressure sensor inside the chamber determines that when the pressure is less than 10 Pa, the vacuum valve creates a vacuum, allowing for rapid air entry when the chamber is opened. The testing chamber is connected to a sampling pipeline, which is controlled by an independent valve to open and close. When the sampling pipeline is opened, the vacuum environment of the testing chamber forces outside air to enter the testing chamber quickly. A sampling pump can also be used to assist in drawing air into the testing chamber. Once the pressure inside the testing chamber reaches atmospheric pressure, it indicates that the air environment of the testing chamber is consistent with the air environment of the building materials workshop. The testing chamber is equipped with a laser dust meter and an integrated temperature and pressure sensor. After the laser dust meter detects the dust concentration, the temperature and pressure detected by the integrated temperature and pressure sensor are used to correct the dust concentration to obtain the dust concentration of the building materials production workshop.

[0031] The dust pre-detection concentration is the dust concentration of the dust-laden air inside the detection chamber when only the detection chamber is open. After the dust-laden air enters the detection chamber and reaches equilibrium, the detection chamber is sealed. At this time, the laser dust meter detects the initial dust concentration, and the integrated temperature and pressure sensor detects the thermodynamic temperature and absolute pressure inside the detection chamber. The pressure correction coefficient is obtained by calculating the quotient of the ideal atmospheric pressure and the absolute pressure, and the temperature correction coefficient is obtained by calculating the quotient of the thermodynamic temperature and the ideal ambient temperature. Finally, the product of the initial dust concentration, the pressure correction coefficient, and the temperature correction coefficient is calculated to convert the detected dust concentration inside the detection chamber into the equivalent environmental concentration, which is the dust pre-detection concentration.

[0032] Step S102: Based on the dust pre-detection concentration, control the preset connection between the auxiliary chamber and the detection chamber to balance the concentration in the detection chamber and determine the concentration balance trigger signal.

[0033] After determining the pre-detection dust concentration, the processing terminal checks whether it exceeds the upper limit of the detection range of the detection chamber. Based on this, it determines whether it's necessary to connect the secondary chamber to the detection chamber, allowing dust-laden airflow from the detection chamber to the secondary chamber, reducing the dust concentration in the detection chamber to within the detection range. This balances the dust concentration in the detection chamber, triggering a concentration balance signal. This provides data support for determining the actual dust concentration based on the detection concentrations in the detection chamber and the secondary chamber. The specific method is described in [reference needed]. Figure 2 The steps.

[0034] The connecting auxiliary chamber is a container used to balance the dust concentration in the detection chamber. The connecting auxiliary chamber has the same specifications as the detection chamber and is also connected to a purge exhaust valve and a vacuum valve. It is equipped with a laser dust meter and an integrated temperature and pressure sensor. The connecting auxiliary chamber and the detection chamber are connected by independent valves, so that the dust-containing air in the detection chamber flows into the connecting auxiliary chamber until the pressure in the detection chamber and the connecting auxiliary chamber is balanced. At this time, the dust concentration in the detection chamber and the dust concentration in the connecting auxiliary chamber are reduced to within the measurement range.

[0035] The concentration balance trigger signal is a trigger signal that the dust concentration in the connected auxiliary chamber and the detection chamber has reached equilibrium. When the thermodynamic temperature fluctuation and pressure fluctuation detected by the integrated temperature and pressure sensors in the detection chamber and the connected auxiliary chamber simultaneously meet the set threshold, it is determined that the dust concentration in the connected auxiliary chamber and the detection chamber has been evenly distributed, and the dust concentration detection in the detection chamber and the connected auxiliary chamber can begin. Therefore, the concentration balance trigger signal is output.

[0036] Step S103: Obtain the equilibrium detection concentration based on the concentration equilibrium trigger signal.

[0037] The equilibrium detection concentration is the dust concentration detected in the detection chamber when the detection chamber and the connected auxiliary chamber reach equilibrium. After multiple sets of concentration data are continuously collected by the laser dust meter installed in the chamber, the data are preprocessed and noise is reduced, and the average value of the remaining data is taken as the equilibrium detection concentration.

[0038] Step S104: Analyze the equilibrium detection concentration to determine and output the actual dust detection concentration.

[0039] The actual dust concentration detected is the actual dust concentration in the building materials production workshop environment. After determining the equilibrium detection concentration, the actual dust concentration is determined through back-calculation based on dust mass conservation and settling correction. The actual dust concentration is then displayed on the human-machine interface of the processing terminal. For specific methods, refer to... Figure 6 The steps.

[0040] Reference Figure 2 The steps for determining the concentration balance trigger signal by controlling the pre-set connected auxiliary chamber and the detection chamber to balance the concentration in the detection chamber based on the dust pre-detection concentration include: Step S200: Obtain the upper limit of dust concentration detection.

[0041] The upper limit of dust concentration detection refers to the upper limit of the range of dust concentration that the laser dust meter in the detection chamber can detect. The laser dust meter is calibrated at the factory with a maximum detection limit under an ideal dust particle size. However, the dust particle size in building material production workshops is complex. Using only the calibrated ideal upper limit to judge whether the dust concentration in the detection chamber falls within the range can easily lead to misjudgments. Therefore, it is necessary to first correct the calibrated ideal range according to the dust particle size to obtain the upper limit of dust concentration detection. The specific method is described in [reference needed]. Figure 3 This step improves the accuracy of determining whether the dust concentration exceeds the measurement range.

[0042] Step S201: Determine whether the dust pre-detection concentration meets the upper limit requirement for dust concentration detection.

[0043] The upper limit requirement for dust concentration detection is no more than 90% of the upper limit of dust concentration detection. A 10% range margin is reserved to ensure that the linearity of the laser dust meter decreases when it approaches the upper limit of the range, thereby reducing measurement error and ensuring that the detected value is within the optimal range of the laser dust meter.

[0044] The processing terminal determines whether the dust pre-detection concentration does not exceed 90% of the dust concentration detection limit, thereby determining whether the current dust concentration in the detection chamber exceeds the detection range limit of the detection chamber.

[0045] Step S2011: If the condition is met, define the dust pre-detection concentration as the actual dust detection concentration and output it.

[0046] If the processing terminal determines that the dust pre-detection concentration does not exceed 90% of the upper limit of dust concentration detection, it indicates that the dust concentration in the detection chamber has not exceeded the upper limit of the detection range of the detection chamber. Therefore, the dust pre-detection concentration is the actual environmental dust concentration in the building materials production workshop. Thus, the dust pre-detection concentration is defined as the actual dust detection concentration, and the actual dust detection concentration is displayed on the human-machine interface of the processing terminal for prompting.

[0047] Step S2012: If not, obtain the number of connected secondary warehouses opened.

[0048] If the processing terminal determines that the dust pre-detection concentration exceeds 90% of the dust concentration detection limit, it indicates that the dust concentration in the detection chamber has exceeded the detection range limit of the detection chamber. At this time, the detected dust pre-detection concentration is not the actual environmental dust concentration in the building materials production workshop. It is necessary to open the connecting auxiliary chamber to share the dust concentration in the detection chamber and reduce the dust concentration to within the range. Therefore, the number of connected auxiliary chambers opened is detected to ensure that the opened connected auxiliary chambers can effectively share the dust concentration.

[0049] The number of connected auxiliary compartments to be opened refers to the number of connected auxiliary compartments required to balance the dust concentration in the detection chamber to the optimal range of the measurement range. Therefore, there are multiple opening quantities for connected auxiliary compartments, corresponding to different values ​​within the optimal range of the measurement range. For specific methods of obtaining these quantities, please refer to [link / reference needed]. Figure 4 The steps.

[0050] Step S202: Control the connection between the connected secondary compartment and the detection compartment to balance the concentration in the detection compartment based on the number of connected secondary compartments opened, and determine the concentration balance trigger signal.

[0051] After determining the number of connected auxiliary compartments to be opened, the processing terminal optimizes all combinations of connected auxiliary compartments based on this number to determine the optimal number of compartments to be opened. This optimal number of compartments is used to control the connection between the connected auxiliary compartments and the detection compartment, effectively balancing the dust concentration within the detection compartment while minimizing concentration detection errors. Finally, the concentration balance trigger signal is determined. The specific method is described in [reference needed]. Figure 5 The steps.

[0052] Reference Figure 3 The steps to obtain the upper limit of dust concentration detection include: Step S300: Obtain the particle size of the dust.

[0053] The dust detection particle size refers to the particle size of the dust in the detection chamber. The dust detection particle size is actually the median particle size of the dust mass, that is, half of the dust mass has a particle size smaller than the median particle size of the dust mass, and the other half of the dust mass has a particle size larger than the median particle size of the dust mass. It is directly output by the particle size distribution detection model built into the laser dust meter in the detection chamber based on the multi-angle scattered light intensity inversion algorithm.

[0054] Step S301: Find the actual dust mass scattering efficiency coefficient in the preset particle size scattering efficiency correspondence based on the dust detection particle size.

[0055] Among them, the particle size scattering efficiency correspondence is the correspondence between different dust particle sizes and dust mass scattering efficiency coefficients. Based on Mie scattering theory, according to the refractive index of the target dust, the total scattering area of ​​a unit mass of dust under different particle sizes is calculated to obtain the theoretical scattering efficiency curve. Then, the laser dust meter is calibrated point by point using monodisperse aerosols of standard particle size. The theoretical value and the measured value are corrected by linear regression to obtain the final particle size scattering efficiency mapping table, that is, the particle size scattering efficiency correspondence.

[0056] The actual dust mass scattering efficiency coefficient is the normalized scattered light intensity value generated by the dust corresponding to the detected particle size under laser irradiation. It reflects the difference in scattering ability between the dust corresponding to the detected particle size and the dust corresponding to the standard particle size. The smaller the particle size, the more dust particles per unit mass, the larger the total scattering cross-section, and the higher the scattering efficiency coefficient. Conversely, the larger the particle size, the lower the scattering efficiency coefficient. The actual dust mass scattering efficiency coefficient is used to convert the particle size difference into a range correction.

[0057] Step S302: Calculate the quotient of the preset standard dust mass scattering efficiency coefficient and the actual dust mass scattering efficiency coefficient to generate the detection upper limit correction coefficient.

[0058] The standard dust mass scattering efficiency coefficient is the scattering efficiency coefficient corresponding to the factory standard particle size. Taking a 10-micron particle size as an example, the corresponding standard dust mass scattering efficiency coefficient is 1, which serves as the normalization benchmark.

[0059] The detection upper limit correction coefficient is a coefficient used to correct the upper limit of the detection chamber's range. It is obtained by calculating the quotient of the standard dust mass scattering efficiency coefficient and the actual dust mass scattering efficiency coefficient from the processing terminal. When the scattering efficiency is higher, the output signal of the laser dust meter is stronger at the same concentration, reaches saturation earlier, and has a lower effective range. Therefore, the upper limit of the range is corrected by using the quotient of the standard dust mass scattering efficiency coefficient and the actual dust mass scattering efficiency coefficient. When the particle size is smaller than the standard particle size, the correction coefficient is less than 1, and the upper limit of the range decreases; when the particle size is larger than the standard particle size, the correction coefficient is greater than 1, and the upper limit of the range increases.

[0060] Step S303: Calculate the product of the detection upper limit correction factor and the preset standard concentration detection upper limit to generate the dust concentration detection upper limit.

[0061] The upper limit of the standard concentration detection is the upper limit of the range calibrated for the standard particle size when the laser dust meter is manufactured. In this embodiment, calibrating is performed with a standard particle size of 10 micrometers. When the output value tends to be stable, the stable value is determined as the upper limit of the standard concentration detection.

[0062] The upper limit for dust concentration detection in this step is the same as the upper limit for dust concentration detection in step S200, and is obtained by multiplying the upper limit correction coefficient calculated by the processing terminal with the preset standard concentration detection upper limit.

[0063] Reference Figure 4 The steps to obtain the number of connected secondary warehouses that are open include: Step S400: Obtain the concentration saturation rise time and the scattered light rise rate.

[0064] The concentration saturation rise time is the duration for the laser dust meter to detect the increase in dust concentration up to the upper limit of its range. The timer starts timing from the moment the detection chamber is closed until the dust concentration detected by the laser dust meter reaches the upper limit of its range. The time obtained is the concentration saturation rise time, which reflects how quickly the laser dust meter responds to enter the saturation zone. The higher the concentration, the shorter the concentration saturation rise time, thus reflecting the level of dust concentration.

[0065] The rate of rise of scattered light is the slope of a linear fit of the laser dust meter's output concentration value over time. It is obtained by performing a least-squares linear fit on the concentration detection data within the first 0.5 seconds, reflecting the rate of response growth of the laser dust meter in the initial low-concentration range. The higher the concentration, the greater the rate of rise of scattered light, thus reflecting the dust concentration level. The concentration detection data within 0.5 seconds is chosen because, in the initial low-concentration stage, the output of the laser dust meter exhibits a good linear relationship with the concentration. The 0.5-second time window provides a stable slope while avoiding the non-linear region that could lead to inaccurate slopes.

[0066] Step S401: Calculate the concentration saturation rise time and scattered light rise rate based on the preset concentration estimation model to generate a rough estimate of dust concentration.

[0067] The concentration estimation model is used to calculate a rough estimate of dust concentration, and its specific expression is as follows: .

[0068] In the formula, To roughly estimate the dust concentration, For comprehensive calibration coefficients, The concentration saturation rise time. The rising rate of the scattered light. The saturation time weighting index, The rate of increase is the weighted index.

[0069] The comprehensive calibration coefficient is a dimensionless calibration coefficient adapted to the scattering characteristics of building material dust. The saturation time weighting index represents the influence of saturation time on concentration estimation; the larger the absolute value, the greater the influence of saturation time on concentration estimation. The rise rate weighting index represents the influence of rise rate on concentration estimation; the larger the absolute value, the greater the influence of rise rate on concentration estimation. The calibration process for these three parameters is as follows: using various typical building material dusts from different building material scenarios, repeated experiments were conducted at 10 concentration gradients. The concentration saturation rise time and scattered light rise rate were recorded for each set of experiments. Using the actual concentration as the dependent variable, the saturation time and scattered light rise rate were... Perform multiple linear regression to obtain the fit coefficients.

[0070] The principle of establishing the concentration estimation model is as follows: The output response of the laser dust meter is determined by the total scattered light intensity of the dust. The higher the concentration, the shorter the time for the laser dust meter to reach saturation, and the faster the initial rising rate of the scattered light is detected. The concentration saturation rise time reflects the saturation cutoff segment characteristics of the concentration response, and the scattered light rise rate reflects the initial linear segment characteristics of the concentration response. The two represent the dust concentration from different dimensions. The combined use of these two standards can reduce the influence of single dimensions on particle size changes and optical path contamination interference.

[0071] The rough dust concentration estimate is an estimated value of the dust concentration in the detection chamber. It is calculated by the processing terminal by substituting the concentration saturation rise time and the scattered light rise rate into the concentration estimation model. The rough dust concentration estimate provides data support for the subsequent determination of the dilution factor.

[0072] Step S402: Determine the concentration dilution factor based on the rough estimate of dust concentration and the upper limit of dust concentration detection; The concentration dilution factor is the dilution factor required to dilute the dust concentration to the optimal range. The maximum dilution factor is obtained by calculating the ratio between the rough estimated dust concentration and 30% of the upper limit of dust concentration detection by the processing terminal, and the minimum dilution factor is obtained by calculating the ratio between the rough estimated dust concentration and 70% of the upper limit of dust concentration detection. Thus, the concentration dilution factor is determined. There are multiple values ​​for the concentration dilution factor, and there are also multiple corresponding connected auxiliary compartments. It is necessary to determine the optimal number of compartments to ensure effective balance of dust concentration and minimize detection error.

[0073] Step S403: Obtain the residual pressure of the connected secondary compartment and the pressure of the detection compartment.

[0074] The residual pressure in the connecting sub-compartment is the residual pressure inside the connecting sub-compartment, which is detected by a pressure sensor before the connecting sub-compartment is connected to the detection compartment. It reflects the vacuum level of the connecting sub-compartment and provides data support for subsequent calculation of the effective volume of the connecting sub-compartment.

[0075] The pressure in the detection chamber is the absolute pressure inside the chamber. It is detected by a pressure sensor after the chamber is sealed and serves as the pressure reference for converting the equivalent volume of residual gas in the connected auxiliary chamber.

[0076] Step S404: Correct the preset volume of the connected secondary compartment based on the ratio of the residual pressure of the connected secondary compartment and the pressure of the detection compartment to generate the effective expansion volume of the secondary compartment.

[0077] The volume of the connecting auxiliary compartment is the standard volume of the connecting auxiliary compartment, which is determined by the operator based on the measurement of the connecting auxiliary compartment.

[0078] The effective expansion volume of the auxiliary compartment is the volume in which the connected auxiliary compartment can effectively share the dust-containing air. The residual gas in the connected auxiliary compartment occupies a certain volume under the residual pressure of the connected auxiliary compartment. After the connected auxiliary compartment is connected to the detection compartment, the residual gas expands to the pressure of the detection compartment. The equivalent volume is the product of the quotient of the residual pressure of the connected auxiliary compartment and the pressure of the detection compartment and the volume of the connected auxiliary compartment. Finally, the difference between the volume of the connected auxiliary compartment and the equivalent volume is calculated to obtain the volume that can accommodate the dust-containing air.

[0079] Step S405: Analyze the concentration dilution factor, the preset detection chamber volume, and the effective expansion volume of the auxiliary chamber to determine the number of connected auxiliary chambers to be opened.

[0080] The volume of the testing chamber is the calibrated volume of the testing chamber, which is determined by the operator through measurement.

[0081] The number of connected sub-compartments opened in this step is the same as the number of connected sub-compartments opened in step S2012. The processing terminal calculates the product of the concentration dilution factor and the detection compartment volume to obtain the final total volume. Since there are multiple concentration dilution factors, there are multiple total volumes. After determining the total volume, the detection compartment volume is subtracted to obtain the connected volume of the connected sub-compartments. The number of connected sub-compartments is obtained by calculating the quotient of the connected volume and the effective expansion volume of the sub-compartments.

[0082] Reference Figure 5 The steps for controlling the connection between the connected auxiliary compartment and the detection compartment to balance the concentration in the detection compartment and determine the concentration balance trigger signal based on the number of connected auxiliary compartments opened include: Step S500: Determine the combination dilution factor and the corresponding feasible combination of connected sub-warehouses based on the number of connected sub-warehouses opened.

[0083] The combined dilution factor is the dilution factor corresponding to the number of connected sub-compartments opened. The processing terminal calculates the total volume by multiplying the number of connected sub-compartments opened and the volume of the connected sub-compartments, adding the volume of the detection compartment, and finally dividing by the volume of the detection compartment to obtain the combined dilution factor corresponding to the number of openings.

[0084] The feasible connected secondary warehouse combination is a combination of secondary warehouses corresponding to different numbers of connected secondary warehouses being opened, which is selected by the processing terminal from all connected secondary warehouses according to the number of connected secondary warehouses being opened.

[0085] Step S501: Determine the actual measurement error based on feasible connected sub-compartment combinations.

[0086] The actual measurement error is the inherent relative measurement error of the connected sub-compartments in the feasible connected sub-compartment combination, expressed as a percentage. It is caused by factors such as the current noise and light source power fluctuation of the laser dust meter and is obtained by calibration at the factory.

[0087] Step S502: Analyze the actual measurement error and combined dilution factor to determine the dilution measurement error.

[0088] The dilution measurement error is the measurement error amplified after the dilution operation. The larger the dilution factor, the more the measurement error of the connected sub-compartment is amplified linearly according to the dilution factor. It is obtained by calculating the product of the actual measurement error and the combined dilution factor.

[0089] Step S503: Analyze the combined dilution factor to determine the sedimentation measurement error.

[0090] Among them, the sedimentation measurement error is the measurement error caused by dust settling during the diffusion of dust-containing air from the detection chamber to the connecting auxiliary chamber. It reflects the impact of the sedimentation loss of large-diameter dust particles during a long equilibrium time on the accuracy of concentration measurement. The larger the dilution factor and the longer the equilibrium time, the greater the sedimentation measurement error. The specific calculation formula is as follows: .

[0091] In the formula, To account for settlement measurement error, This is the settlement ratio coefficient. For dust particle size detection, The diffusion time constant is This refers to the combined dilution factor.

[0092] The time required for dust to reach diffusion equilibrium in the detection chamber and the connecting auxiliary chamber is proportional to the square root of the total volume of the detection chamber and the connecting auxiliary chamber. The dilution factor can be used to approximate the total volume. Within the equilibrium time, the mass ratio of dust settling loss is directly proportional to the particle size and the equilibrium time, i.e., the settling ratio. Combining the two results, we find that the sedimentation measurement error is positively correlated with the square root of the dilution factor.

[0093] The settling ratio coefficient is a proportional factor that quantifies the error in concentration measurement caused by dust settling at the bottom of the silo during diffusion. It reflects the influence of particle density, gas viscosity, and silo size on the dust settling rate. Standard dust of known concentration is introduced into a sealed cavity of known volume, and the concentration decay curves at different time points are recorded. The settling rate constant is extracted by exponential fitting and then divided by the particle size of the standard dust to obtain the initial ratio coefficient. After multiple experiments, the average value of the initial ratio coefficient is taken to obtain the settling ratio coefficient.

[0094] The diffusion time constant is a characteristic parameter that represents the time required for dust-laden air to reach equilibrium from its initial pressure difference within the detection chamber and the connecting sub-chamber. It reflects the influence of volume size on the gas diffusion equilibrium rate. Under the condition that the detection chamber is connected to different numbers of connecting sub-chambers, the time from connection to equilibrium is measured, and the slope obtained by linearly fitting the time to the square root of the total volume is the diffusion time constant.

[0095] Step S504: Determine the actual total error based on the dilution measurement error and the sedimentation measurement error.

[0096] The actual total error is the combined uncertainty of the dilution measurement error and the sedimentation measurement error, which is obtained by combining the root mean square (RMS) of the dilution measurement error and the sedimentation measurement error. The dilution measurement error and the sedimentation measurement error are independent error sources. The dilution measurement error originates from the inherent characteristics of the laser dust meter, while the sedimentation measurement error originates from the dust sedimentation process. Since the two are independent, the RMS method is used to combine them.

[0097] Step S505: Screen feasible connected secondary warehouse combinations based on the actual total error to determine the actual connected secondary warehouse combinations.

[0098] The actual connected secondary compartment combination refers to the combination of connected secondary compartments that are actually opened. The processing terminal sorts the actual total error and selects the feasible connected secondary compartment combination corresponding to the smallest actual total error as the actual connected secondary compartment combination, thereby reducing the measurement error to the minimum and ensuring effective balance of dust concentration.

[0099] Step S506: Based on the actual combination of connected secondary compartments, control the connection between the connected secondary compartment and the detection compartment to balance the concentration in the detection compartment and determine the concentration balance trigger signal.

[0100] In this process, after determining the actual connected sub-compartment combination, the processing terminal controls the corresponding connected sub-compartment to connect with the detection compartment, thereby driving the dust-containing air diffusion term into the connected sub-compartment, thus balancing the dust concentration in the detection compartment and reducing the dust concentration to within the measurement range, thereby determining the concentration balance trigger signal.

[0101] Reference Figure 6 The steps for analyzing the equilibrium detection concentration to determine and output the actual dust detection concentration include: Step S600: Obtain the current dilution factor, current chamber temperature, and current chamber pressure.

[0102] The current dilution factor is the dilution factor of dust concentration after the connection to the secondary compartment is opened, which will not be elaborated here.

[0103] The current temperature inside the chamber is the thermodynamic temperature of the detection chamber and the connected auxiliary chamber, which is detected by an integrated temperature and pressure sensor.

[0104] The current pressure inside the chamber is the absolute pressure in the detection chamber and the connecting auxiliary chamber, which is detected by the integrated temperature and pressure sensor.

[0105] Step S601: Calculate the equilibrium detection concentration, current dilution factor, current chamber temperature, and current chamber pressure based on the preset environmental concentration model to generate the basic dust concentration.

[0106] The environmental concentration model is used to calculate the baseline dust concentration, and its specific expression is as follows: .

[0107] In the formula, This represents the basic dust concentration. To balance the detection concentration, This is the current dilution factor. Given the current pressure within the warehouse, This is the current temperature inside the warehouse. For ideal environmental pressure, This is the ideal ambient temperature.

[0108] The ideal ambient pressure is the current air pressure in the building materials workshop. The ideal ambient temperature is the current ambient temperature in the building materials workshop.

[0109] The environmental concentration model is constructed based on the principle of dust mass conservation. When the detection chamber is closed, the total dust mass is the actual concentration multiplied by the chamber volume. After dilution, the dust mass remains unchanged and is equal to the product of the detection concentration, the chamber volume, and the dilution factor. Combining these two equations, the environmental concentration is obtained as the product of the detection concentration and the dilution factor. Used to compensate for the effects of temperature and pressure on measurement accuracy.

[0110] The dust baseline concentration is the equivalent environmental concentration of dust detected after dilution. It is calculated by the processing terminal by substituting the equilibrium detection concentration, the current dilution factor, the current chamber temperature, and the current chamber pressure into the environmental concentration model.

[0111] Step S602: Obtain the dust settling correction coefficient.

[0112] The dust settling correction factor is used to compensate for measurement errors caused by settling during dust diffusion. Its value is always greater than 1. The specific method for obtaining it is described in [reference needed]. Figure 7 The steps.

[0113] Step S603: Calculate the product of the dust settling correction factor and the basic dust concentration to generate the dust correction concentration.

[0114] The dust correction concentration is the dust concentration obtained after compensating for the decrease in dust concentration caused by dust settling. It is calculated by multiplying the dust settling correction coefficient and the basic dust concentration at the treatment terminal.

[0115] Step S604: Determine and output the actual dust detection concentration based on the dust correction concentration.

[0116] In this step, the actual dust concentration is consistent with the actual dust concentration detected in step S104. It is determined by the processing terminal after comparing the dust correction concentration and the upper limit of the measurement range. The specific method is described in [reference needed]. Figure 8 The steps.

[0117] Reference Figure 7 The steps to obtain the dust settling correction factor include: Step S700: Obtain the current dust particle size and diffusion equilibrium time.

[0118] The current dust particle size refers to the particle size of the dust inside the silo, which will not be elaborated here.

[0119] The diffusion equilibrium time is the time required for the particle size to diffuse into the connected sub-compartment until equilibrium is reached. The timing starts when the connected sub-compartment is opened and stops when the concentration equilibrium trigger signal is output.

[0120] Step S701: Calculate the current dust particle size and diffusion equilibrium time based on the preset settling correction model to generate the dust settling correction coefficient.

[0121] The settling correction model is used to calculate the dust settling correction coefficient, and its specific expression is as follows: .

[0122] In the formula, This is the dust settling correction factor. This is the settlement ratio coefficient. Given the current dust particle size, This is the diffusion equilibrium time.

[0123] According to Stokes' Law, the settling velocity of dust particles in a gas is the quotient of the product of dust density, the square of the dust particle size, and the acceleration due to gravity, multiplied by 18 times the gas dynamic viscosity. During the diffusion equilibrium time, the settling layer thickness is equal to the product of the settling velocity and the diffusion equilibrium time. The settling mass percentage is approximately the ratio of the settling layer thickness to the silo height. Therefore, the settling mass percentage can be expressed as: , Taking into account factors such as dust density, gas viscosity, and silo size, the final correction factor is obtained by adding 1.

[0124] Reference Figure 8 The steps for determining and outputting the actual dust detection concentration based on the dust correction concentration include: Step S800: Obtain the current detection concentration limit.

[0125] The current detection concentration limit is the upper limit of the detection range of the detection chamber and the connecting auxiliary chamber, which will not be elaborated here.

[0126] Step S801: Determine whether the dust correction concentration meets the current upper limit requirement of the detection concentration.

[0127] The current upper limit requirement for detection concentration is that it should not exceed 90% of the current upper limit for detection concentration.

[0128] The processing terminal determines whether the dust correction concentration does not exceed 90% of the current detection concentration limit, thereby determining whether the dust concentration detected after dilution exceeds the upper limit of the measurement range.

[0129] Step S8011: If the condition is met, the dust correction concentration is determined as the actual dust detection concentration and output.

[0130] If the processing terminal determines that the dust correction concentration does not exceed 90% of the current detection concentration limit, it indicates that the dust concentration detected after dilution does not exceed the upper limit of the range. The dust correction concentration represents the environmental dust concentration in the building materials production workshop, and thus the dust correction concentration is determined as the actual dust detection concentration and output.

[0131] Step S8012: If it does not meet the requirements, control the connecting sub-compartment to perform multiple dilutions to determine the concentration of each dilution.

[0132] If the processing terminal determines that the dust correction concentration exceeds 90% of the current detection concentration limit, it indicates that the dust concentration detected after dilution exceeds the upper limit of the measurement range, and the dust concentration estimation error is large. Therefore, the control unit performs multiple dilutions. The specific process is as follows: increase the number of auxiliary compartments one by one from the original number of open auxiliary compartments, and determine the dust concentration after dilution according to the above steps. If the dust concentration still exceeds the upper limit, the dust concentration is removed, and the number of auxiliary compartments is increased until the dust concentration falls within the measurement range. The dust concentration at this time is defined as the multiple dilution concentration, and the dilution is continued to be added according to the set number of iterations to determine multiple qualified multiple dilution concentrations.

[0133] The concentration obtained after multiple dilutions is the qualified dust concentration that falls within the measurement range after adding additional dilution factors. The specific method for obtaining this concentration will not be elaborated here.

[0134] Step S802: Determine the dilution concentration weight based on the multiple dilution concentrations and the current detection concentration upper limit.

[0135] The dilution concentration weight represents the weight of different dilution concentrations in the concentration fusion process. It is calculated by taking the reciprocal of the absolute value of the difference between the multiple dilution concentrations and half of the current detection concentration upper limit. To prevent the absolute value of the difference between the multiple dilution concentrations and half of the current detection concentration upper limit from being zero, a smoothing coefficient can be added to the denominator. The closer the multiple dilution concentrations are to the midpoint of the dynamic range, the closer the dilution is to the sensor's optimal operating point, and the more reliable the measurement data; therefore, the greater the weight.

[0136] Step S803: Weight the multiple dilution concentrations according to the dilution concentration weight to determine the actual dust detection concentration and output it.

[0137] In this step, the actual dust concentration is consistent with the actual dust concentration in step S604. The processing terminal normalizes the dilution concentration weights according to the sum of the dilution concentration weights, and then calculates the weighted sum of multiple dilution concentrations according to the normalized weights to obtain the actual dust concentration. By fusing multiple qualified concentrations, the error of a single round of measurement is reduced, and the problem of inadequate dilution caused by inaccurate concentration estimation is solved.

[0138] Based on the same inventive concept, embodiments of this application provide an online dust concentration detection and analysis system for building material production workshops, including: The acquisition module is used to acquire the dust detection trigger signal, equilibrium detection concentration, dust concentration detection upper limit, number of connected auxiliary chambers open, dust detection particle size, concentration saturation rise time, scattered light rise rate, residual pressure of connected auxiliary chamber, detection chamber pressure, current dilution ratio, current chamber temperature, current chamber pressure, dust settling correction coefficient, current dust particle size, diffusion equilibrium time, and current detection concentration upper limit. A memory used to store the program for online detection and analysis of dust concentration in building materials production workshops; The processor and memory can load and execute programs to realize online detection and analysis methods for dust concentration in building material production workshops.

[0139] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0140] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as a method for online detection and analysis of dust concentration in a building materials production workshop.

[0141] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.

[0142] Based on the same inventive concept, this application provides an intelligent terminal, including a memory and a processor. The memory stores a computer program that can be loaded by the processor and executed to perform an online detection and analysis method for dust concentration in a building materials production workshop.

[0143] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0144] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method for online detection and analysis of dust concentration in building materials production workshops, characterized in that, include: Acquire the dust detection trigger signal; The dust detection trigger signal controls the opening of the preset detection chamber, driving dust-containing air into the detection chamber to determine the pre-detection concentration of dust in the building materials production workshop. Based on the dust pre-detection concentration control, the preset connection between the auxiliary chamber and the detection chamber is balanced to determine the concentration balance trigger signal; The equilibrium detection concentration is obtained based on the concentration equilibrium trigger signal; The equilibrium detection concentration is analyzed to determine and output the actual dust detection concentration.

2. The method for online detection and analysis of dust concentration in building material production workshops according to claim 1, characterized in that, The steps for determining the concentration balance trigger signal based on the pre-detected dust concentration control between the pre-detected auxiliary chamber and the detection chamber include: Obtain the upper limit of dust concentration detection; Determine whether the dust pre-detection concentration meets the upper limit requirement for dust concentration detection; If the conditions are met, the dust pre-detection concentration will be defined as the actual dust detection concentration and output. If not, obtain the number of connected secondary warehouses opened; The concentration in the detection chamber is balanced by controlling the number of connected secondary chambers open to determine the concentration balance trigger signal.

3. The method for online detection and analysis of dust concentration in building material production workshops according to claim 2, characterized in that, The steps to obtain the upper limit of dust concentration detection include: Obtain the particle size of dust; The actual dust mass scattering efficiency coefficient is found by referring to the preset particle size scattering efficiency correspondence relationship. Calculate the quotient of the preset standard dust mass scattering efficiency coefficient and the actual dust mass scattering efficiency coefficient to generate the detection upper limit correction coefficient; The upper limit of dust concentration is generated by multiplying the upper limit of detection correction factor by the preset standard concentration upper limit of detection.

4. The method for online detection and analysis of dust concentration in a building materials production workshop according to claim 2, characterized in that, The steps to obtain the number of connected secondary warehouses open include: Obtain the concentration saturation rise time and the scattered light rise rate; The concentration saturation rise time and scattered light rise rate are calculated based on a preset concentration estimation model to generate a rough estimate of dust concentration. The concentration dilution factor is determined based on the rough estimate of dust concentration and the upper limit of dust concentration detection. Obtain the residual pressure in the connected secondary compartment and the pressure in the detection compartment; The preset volume of the connected secondary compartment is corrected based on the ratio of the residual pressure of the connected secondary compartment and the pressure of the detection compartment, so as to generate the effective expansion volume of the secondary compartment. The concentration dilution factor, the preset detection chamber volume, and the effective expansion volume of the auxiliary chamber are analyzed to determine the number of connected auxiliary chambers to be opened.

5. The method for online detection and analysis of dust concentration in a building materials production workshop according to claim 2, characterized in that, The steps for controlling the connection between the connected auxiliary compartment and the detection compartment to balance the concentration in the detection compartment and determine the concentration balance trigger signal based on the number of connected auxiliary compartments opened include: Determine the combination dilution factor and the corresponding feasible combination of connected sub-warehouses based on the number of connected sub-warehouses opened; The actual measurement error is determined based on feasible interconnected sub-compartment combinations; The actual measurement error and combined dilution factors were analyzed to determine the dilution measurement error; The combined dilution factors were analyzed to determine the sedimentation measurement error; The actual total error is determined based on the dilution measurement error and the sedimentation measurement error; The feasible connected secondary warehouse combinations are screened based on the actual total error to determine the actual connected secondary warehouse combinations; The concentration in the detection chamber is balanced by controlling the connection between the actual connected secondary chamber and the detection chamber to determine the concentration balance trigger signal.

6. The method for online detection and analysis of dust concentration in a building materials production workshop according to claim 1, characterized in that, The steps for analyzing the equilibrium detection concentration to determine and output the actual dust detection concentration include: Obtain the current dilution factor, current chamber temperature, and current chamber pressure; The equilibrium detection concentration, current dilution factor, current chamber temperature, and current chamber pressure are calculated based on a preset environmental concentration model to generate the basic dust concentration. Obtain the dust settling correction factor; Calculate the product of the dust settling correction factor and the base dust concentration to generate the dust correction concentration; The actual dust concentration is determined and output based on the dust correction concentration.

7. The method for online detection and analysis of dust concentration in a building materials production workshop according to claim 6, characterized in that, The steps to obtain the dust settling correction factor include: Obtain the current dust particle size and diffusion equilibrium time; The dust settling correction coefficient is generated by calculating the current dust particle size and diffusion equilibrium time based on the preset settling correction model.

8. The method for online detection and analysis of dust concentration in a building materials production workshop according to claim 6, characterized in that, The steps for determining and outputting the actual dust concentration based on the dust correction concentration include: Get the current detection concentration limit; Determine whether the dust correction concentration meets the current upper limit requirement for the detection concentration; If the conditions are met, the dust correction concentration will be determined as the actual dust detection concentration and output. If it does not meet the requirements, the control unit will perform multiple dilutions to determine the concentration of each dilution. The dilution concentration weights are determined based on multiple dilution concentrations and the current upper limit of the detection concentration. The concentrations of multiple dilutions are weighted and fused according to the dilution concentration weights to determine and output the actual dust detection concentration.

9. An online dust concentration detection and analysis system for a building materials production workshop, characterized in that, include: The acquisition module is used to acquire the dust detection trigger signal and the equilibrium detection concentration; A memory for storing the program of the online detection and analysis method for dust concentration in a building materials production workshop as described in any one of claims 1 to 8; The processor and the program in the memory can be loaded and executed by the processor to implement the online detection and analysis method for dust concentration in building material production workshops as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1 to 8, for online detection and analysis of dust concentration in a building materials production workshop.

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