Device and method for collecting heavy metal particles in exhaust gas

Abstract

This invention relates to the field of heavy metal detection technology, and discloses a device and method for collecting heavy metal particles in exhaust gas. The method includes: introducing exhaust gas into a detection area using an induced draft fan; collecting the airflow rate per unit time at the fan inlet and activating a rotating component located in the detection area; determining the initial rotation speed of the rotating component based on the airflow rate; collecting airflow velocities at several points within the detection area; determining the distribution of exhaust gas within the detection area based on the airflow velocities; and determining whether to adjust the initial rotation speed based on the distribution. A bipolar electrostatic bar is placed in the detection area, and the collection frequency of the bipolar electrostatic bar is determined based on the particulate matter concentration within the detection area. After collection, the heavy metal concentration is obtained based on multiple sets of heavy metal particulate matter content. This invention solves the problem of uneven airflow affecting detection accuracy in traditional methods, improving the efficiency and accuracy of heavy metal particle collection in exhaust gas.

Description

Technical Field

[0001] This invention relates to the field of heavy metal detection technology, and more specifically, to a device and method for collecting heavy metal particles in waste gas. Background Technology

[0002] In recent years, governments and power plants have placed increasing emphasis on qualitatively measuring the proportion of "green" energy. The production and combustion processes generate large amounts of waste gas, which typically contains various harmful substances, among which heavy metal particles are the most dangerous. Heavy metal particles not only cause serious environmental pollution but also pose a significant threat to human health through the respiratory system. Therefore, how to effectively collect and accurately detect heavy metal particles in waste gas is a crucial technical issue in the field of environmental monitoring.

[0003] Traditional methods for detecting heavy metal particles in exhaust gases primarily rely on techniques such as physical filtration, chemical analysis, and spectroscopic analysis. Traditional filtration methods often suffer from low collection efficiency when dealing with small and lightweight heavy metal particles. These particles easily escape with the airflow, leading to inaccurate monitoring data. Chemical and spectroscopic analyses typically involve guiding the airflow using an induced draft fan, but the fan's operation causes variations in airflow speed and direction. This uneven flow affects the distribution of heavy metal particles within the detection area, thus impacting the efficiency and accuracy of the collection device. For devices based on electrostatic deposition, temperature variations in the exhaust gas also affect the device's performance. Temperature changes alter the charge collection efficiency of the electrostatic rod, causing the particle collection effect to fluctuate with temperature.

[0004] Therefore, there is an urgent need for a device and method for collecting heavy metal particles in waste gas to solve the problems existing in the current technology. Summary of the Invention

[0005] In view of this, the present invention proposes a device and method for collecting heavy metal particles in exhaust gas, aiming to solve the problems of low accuracy in collecting heavy metal particles and unrepresentative collected samples in current exhaust gas heavy metal detection technology, which affect the detection quality.

[0006] This invention proposes a method for collecting heavy metal particles in exhaust gas, comprising:

[0007] The exhaust gas is introduced into the detection area by an induced draft fan. The air volume at the inlet of the induced draft fan per unit time is collected, and the rotating component set in the detection area is turned on.

[0008] The initial rotation speed of the rotating component is determined based on the air intake volume. The air flow velocity at several points within the detection area is collected. The distribution of exhaust gas within the detection area is determined based on the air flow velocity. The initial rotation speed is then adjusted based on the distribution.

[0009] A bipolar electrostatic bar is placed in the detection area, and the sampling frequency of the bipolar electrostatic bar is determined based on the particulate matter concentration in the detection area.

[0010] After collection, the heavy metal concentration was obtained based on the content of multiple heavy metal particulate matter.

[0011] Furthermore, the initial rotational speed is calculated using the following formula:

[0012] ;

[0013] Where S represents the initial rotational speed, This represents the flow rate adjustment coefficient, 0.5≤ ≤2, Q represents the air volume at the inlet of the induced draft fan per unit time, and V represents the volume of the detection area. This indicates the density of the exhaust gas. The value represents the dynamic viscosity of the exhaust gas, and a and b represent weighting coefficients, with a+b=1.

[0014] Furthermore, when determining the distribution of exhaust gas within the detection area based on the airflow velocity, the method includes:

[0015] Several wind speed sensors are arranged in the detection area to collect air flow speed data from the wind speed sensors, establish a speed dataset, and obtain a uniformity coefficient based on the speed dataset. The distribution of exhaust gas in the detection area is then determined based on the uniformity coefficient.

[0016] The uniformity coefficient is calculated using the following formula:

[0017] ;

[0018] ;

[0019] ;

[0020] in, Represents the uniformity coefficient. This indicates the deviation in airflow velocity within the detection area. Fi represents the average airflow velocity within the detection area; N represents the number of wind speed sensors; and Fi represents the airflow velocity data collected by the i-th wind speed sensor.

[0021] Furthermore, when determining the distribution of exhaust gas within the detection area based on the uniformity coefficient, the following steps are included:

[0022] When the uniformity coefficient Cj is greater than or equal to 0.1, it is determined that the distribution of exhaust gas in the detection area is not uniform, and the initial rotation speed is adjusted to perform detection at the adjusted rotation speed.

[0023] When the uniformity coefficient Cj is less than 0.1, it is determined that the distribution of exhaust gas in the detection area is uniform, and the initial rotation speed is not adjusted; the detection is performed at the initial rotation speed.

[0024] Furthermore, when determining to adjust the initial rotational speed, the following steps are included:

[0025] Obtain the uniformity coefficient difference, which is the difference between the uniformity coefficient and the threshold 0.1. Compare the uniformity coefficient difference with a first preset difference and a second preset difference respectively. If the first preset difference is less than the second preset difference, select an adjustment coefficient based on the comparison result to adjust the initial rotation speed and obtain the adjusted rotation speed.

[0026] When the difference in uniformity coefficients is less than or equal to a first preset difference, a first adjustment coefficient is determined to adjust the initial rotation speed;

[0027] When the difference in uniformity coefficients is greater than a first preset difference and less than or equal to a second preset difference, a second adjustment coefficient is determined to adjust the initial rotation speed.

[0028] When the difference in the uniformity coefficient is greater than the second preset difference, a third adjustment coefficient is determined to adjust the initial rotation speed;

[0029] Wherein, the first adjustment coefficient is less than the second adjustment coefficient, the second adjustment coefficient is less than the third adjustment coefficient, and the first adjustment coefficient is greater than 1, and the third adjustment coefficient is less than 1.2.

[0030] Furthermore, when determining the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration within the detection area, the following steps are included:

[0031] The particulate matter concentration is compared with a first preset particulate matter concentration and a second preset particulate matter concentration, respectively. The first preset particulate matter concentration is less than the second preset particulate matter concentration. The sampling frequency of the bipolar electrostatic bar is determined based on the comparison results.

[0032] Based on the first comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the first preset sampling frequency;

[0033] Based on the second comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the second preset sampling frequency;

[0034] Based on the third comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the third preset sampling frequency;

[0035] Wherein, the first comparison result is that the particulate matter concentration is less than or equal to the first preset particulate matter concentration, the second comparison result is that the particulate matter concentration is greater than the first preset particulate matter concentration and less than or equal to the second preset particulate matter concentration, the third comparison result is that the particulate matter concentration is greater than the second preset particulate matter concentration, the first preset sampling frequency is greater than the second preset sampling frequency, and the second preset sampling frequency is greater than the third preset sampling frequency.

[0036] Furthermore, when obtaining heavy metal concentrations based on multiple sets of heavy metal particulate matter content after collection, this includes:

[0037] The concentration of the heavy metals is calculated using the following formula:

[0038] ;

[0039] Wherein, Gn represents the heavy metal concentration, Gi represents the content of the i-th heavy metal particles, Ti represents the temperature at the i-th collection, Ty represents the standard temperature, β represents the temperature influence coefficient, M represents the average mass of a single heavy metal particle, and V represents the area of ​​the detection region.

[0040] Compared with existing technologies, the advantages of this invention are as follows: By introducing exhaust gas into the detection area using an induced draft fan, real-time collection of airflow data, and activation of the rotating component positioned within the detection area, the exhaust gas maintains a relatively uniform flow state upon entering the detection area. The initial rotation speed of the rotating component is determined based on the airflow, optimizing and controlling the flow velocity and direction of the exhaust gas within the detection area, thus avoiding uneven distribution of heavy metal particles caused by changes in airflow velocity and direction. Flow velocity data is collected at various locations to determine the distribution of exhaust gas within the detection area in real time, and the speed and direction of the rotating component are dynamically adjusted accordingly. This further ensures a uniform distribution of heavy metal particles in the exhaust gas within the detection area, improving the collection efficiency and detection accuracy of the electrostatic bar. The electrostatic bar effectively captures heavy metal particles in the exhaust gas using electrostatic force, and the collection frequency can be flexibly adjusted based on the real-time detected particle concentration, ensuring highly efficient heavy metal particle capture. In the final heavy metal concentration calculation, multiple sets of heavy metal particle content data are collected and comprehensively analyzed to reduce random errors and fluctuations that may exist during a single collection process.

[0041] On the other hand, this application also provides a heavy metal particle collection device for waste gas, used in applying the above-mentioned method for collecting heavy metal particles in waste gas, including:

[0042] An exhaust fan is used to introduce exhaust gas into the testing area;

[0043] A rotating component is disposed within the detection area, and the rotation direction of the rotating component is perpendicular to the air inlet direction of the induced draft fan;

[0044] The sensor assembly includes a first air intake sensor, several wind speed sensors, a dust concentration sensor, and a temperature sensor;

[0045] A control device is electrically connected to the induced draft fan, the rotating assembly, and the sensor assembly. The control device includes a data acquisition unit, a judgment unit, and a processing unit.

[0046] The acquisition unit is configured to determine the initial rotational speed of the rotating component based on the air intake volume;

[0047] The judgment unit is configured to collect air flow velocity at several points within the detection area, determine the distribution of exhaust gas within the detection area based on the air flow velocity, and determine whether to adjust the initial rotation speed based on the distribution.

[0048] The processing unit is configured to determine the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration in the detection area, and to obtain the heavy metal concentration based on multiple sets of heavy metal particulate matter content after sampling.

[0049] It is understood that the heavy metal particle collection device and method provided in this application have the same beneficial effects, and will not be described in detail here. Attached Figure Description

[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0051] Figure 1 A flowchart of a method for collecting heavy metal particles in exhaust gas provided in an embodiment of the present invention;

[0052] Figure 2 This is a structural block diagram of the heavy metal particle collection device in exhaust gas provided in an embodiment of the present invention. Detailed Implementation

[0053] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0054] In some embodiments of this application, see Figure 1 As shown, this embodiment provides a method for collecting heavy metal particles in exhaust gas, including:

[0055] S100: Based on the exhaust fan, the exhaust gas is introduced into the detection area, the air volume at the inlet of the exhaust fan per unit time is collected, and the rotating component set in the detection area is turned on.

[0056] S200: Determine the initial rotation speed of the rotating component based on the air intake volume, collect the air flow velocity at several points within the detection area, determine the distribution of exhaust gas within the detection area based on the air flow velocity, and determine whether to adjust the initial rotation speed based on the distribution.

[0057] S300: Place the bipolar electrostatic bar into the detection area and determine the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration in the detection area.

[0058] S400: After collection, the heavy metal concentration is obtained based on the content of multiple heavy metal particulate matter.

[0059] Understandably, in S100, an induced draft fan introduces exhaust gas from the outside into a specific detection area. It collects airflow data per unit time at the fan inlet and activates a rotating component positioned within the detection area. This ensures the exhaust gas is guided into the detection area, and the airflow data is used to initially assess the airflow conditions. The rotating component is activated to assist in controlling and regulating the flow of exhaust gas within the detection area, ensuring the airflow remains as uniform and stable as possible. In S200, based on the collected airflow data, the initial rotation speed of the rotating component is determined. Multiple sensors collect airflow velocity data at several locations within the detection area. This velocity data is analyzed to determine the distribution of exhaust gas within the detection area. Based on the analysis results, it is determined whether the initial rotation speed of the rotating component needs adjustment to optimize the exhaust gas distribution. By rationally setting the initial speed of the rotating component based on the airflow, the exhaust gas flows uniformly upon entering the detection area. The airflow distribution within the detection area is monitored in real time, and the uniform distribution of exhaust gas is maintained by dynamically adjusting the speed of the rotating component, thereby improving the collection efficiency of the electrostatic bar. In S300, a bipolar electrostatic bar is placed in the detection area to capture heavy metal particles in the exhaust gas. The sampling frequency of the bipolar electrostatic bar is dynamically adjusted based on the particulate matter concentration data within the detection area. By monitoring the particulate matter concentration in real time, the sampling frequency can be flexibly adjusted. In S400, the concentration of heavy metals in the exhaust gas is calculated based on multiple sets of collected heavy metal particulate matter content data. By comprehensively processing multiple sets of data, random errors in a single sampling process are reduced.

[0060] In some embodiments of this application, the initial rotational speed is calculated using the following formula:

[0061] ;

[0062] Where S represents the initial rotational speed, This represents the flow rate adjustment coefficient, 0.5≤ ≤2, Q represents the air volume at the inlet of the induced draft fan per unit time, and V represents the volume of the detection area. This indicates the density of the exhaust gas. The value represents the dynamic viscosity of the exhaust gas, and a and b represent weighting coefficients, with a+b=1.

[0063] Specifically, the consideration of exhaust gas density and viscosity in the formula enhances the system's adaptability to various complex environments, improves overall operational stability and collection efficiency, and maintains stable operating performance when treating exhaust gases with different physical properties.

[0064] Understandably, by calculating the initial rotational speed, the flow of exhaust gas within the detection area becomes more uniform and stable. This improves the capture efficiency and detection accuracy of heavy metal particles, overcoming the inaccuracy issues caused by changes in airflow and physical properties in traditional methods.

[0065] In some embodiments of this application, when determining the distribution of exhaust gas in the detection area based on airflow velocity, the method includes: arranging several wind speed sensors in the detection area, collecting airflow velocity data from the wind speed sensors, establishing a velocity dataset, obtaining a uniformity coefficient based on the velocity dataset, and determining the distribution of exhaust gas in the detection area based on the uniformity coefficient.

[0066] The uniformity coefficient is calculated using the following formula:

[0067] ;

[0068] ;

[0069] ;

[0070] in, Represents the uniformity coefficient. This indicates the deviation in airflow velocity within the detection area. This represents the average airflow velocity within the detection area. N represents the number of wind speed sensors, and Fi represents the airflow velocity data collected by the i-th wind speed sensor.

[0071] Specifically, the uniformity coefficient is calculated to determine the distribution of exhaust gas within the detection area. A low uniformity coefficient indicates a relatively uniform exhaust gas distribution. A high uniformity coefficient requires adjusting the speed of the rotating component to improve the uniformity of exhaust gas distribution.

[0072] Understandably, by deploying multiple wind speed sensors and using a uniformity coefficient to quantify and evaluate the distribution of exhaust gas within the detection area, areas of uneven flow can be accurately identified. This facilitates refined management and optimization of exhaust gas distribution. The uniformity coefficient provides an objective metric, helping to determine in real-time whether the rotational component speed needs adjustment. Based on the calculated uniformity coefficient, the rotation speed can be automatically or manually adjusted to ensure continuous uniformity of exhaust gas distribution, thereby improving the collection efficiency and detection accuracy of the electrostatic bar. Even under complex and changing flow conditions, precise flow velocity monitoring and uniformity assessment can maintain efficient and accurate collection and detection of heavy metal particles, making it adaptable to different exhaust gas characteristics and operating environments.

[0073] In some embodiments of this application, determining the distribution of exhaust gas within the detection area based on the uniformity coefficient includes: when the uniformity coefficient Cj is greater than or equal to 0.1, determining that the distribution of exhaust gas within the detection area is uneven, adjusting the initial rotation speed, and performing detection at the adjusted rotation speed. When the uniformity coefficient Cj is less than 0.1, determining that the distribution of exhaust gas within the detection area is uniform, not adjusting the initial rotation speed, and performing detection at the initial rotation speed.

[0074] In some embodiments of this application, when it is determined that the initial rotation speed should be adjusted, the method includes: obtaining a uniformity coefficient difference, which is the difference between the uniformity coefficient and a threshold of 0.1; comparing the uniformity coefficient difference with a first preset difference and a second preset difference, respectively, wherein the first preset difference is less than the second preset difference; selecting an adjustment coefficient based on the comparison result to adjust the initial rotation speed; and obtaining the adjusted rotation speed.

[0075] Specifically, when the uniformity coefficient difference is less than or equal to a first preset difference, a first adjustment coefficient is determined to adjust the initial rotation speed. When the uniformity coefficient difference is greater than the first preset difference and less than or equal to a second preset difference, a second adjustment coefficient is determined to adjust the initial rotation speed. When the uniformity coefficient difference is greater than the second preset difference, a third adjustment coefficient is determined to adjust the initial rotation speed. The first adjustment coefficient is less than the second adjustment coefficient, the second adjustment coefficient is less than the third adjustment coefficient, and the first adjustment coefficient is greater than 1, while the third adjustment coefficient is less than 1.2.

[0076] Understandably, by monitoring the uniformity coefficient in real time and automatically adjusting the rotation speed based on the difference, the distribution of exhaust gas is automatically optimized during operation. This reduces the need for human intervention and improves the system's intelligence and ease of operation. Dynamically adjusting the rotation speed effectively addresses the problem of uneven exhaust gas flow, thereby improving the collection efficiency and detection accuracy of heavy metal particles. By setting different adjustment coefficients, rapid response to varying degrees of uniformity changes is achieved. Uniform exhaust gas distribution provides a stable working environment for collection devices such as electrostatic bars, avoiding the problem of reduced collection efficiency caused by uneven flow rates. This ensures the reliability and repeatability of the detection results.

[0077] In some embodiments of this application, when determining the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration in the detection area, the method includes: comparing the particulate matter concentration with a first preset particulate matter concentration and a second preset particulate matter concentration, wherein the first preset particulate matter concentration is less than the second preset particulate matter concentration, and determining the sampling frequency of the bipolar electrostatic bar based on the comparison result.

[0078] Specifically, based on the first comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the first preset sampling frequency. Based on the second comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the second preset sampling frequency. Based on the third comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the third preset sampling frequency. In this context, the first comparison result indicates that the particulate matter concentration is less than or equal to the first preset particulate matter concentration; the second comparison result indicates that the particulate matter concentration is greater than the first preset particulate matter concentration but less than or equal to the second preset particulate matter concentration; the third comparison result indicates that the particulate matter concentration is greater than the second preset particulate matter concentration; the first preset sampling frequency is greater than the second preset sampling frequency; and the second preset sampling frequency is greater than the third preset sampling frequency.

[0079] Understandably, by adjusting the sampling frequency in real time, it is possible to adapt to different concentration levels of exhaust gas. Regardless of changes in the particulate matter concentration in the exhaust gas, the operating frequency of the electrostatic bar can be quickly adjusted to ensure maximum sampling efficiency. Under high concentration conditions, reducing the sampling frequency avoids oversaturation of the electrostatic bar, thereby improving collection efficiency. Under low concentration conditions, increasing the sampling frequency ensures that sufficient samples are collected, providing more accurate heavy metal concentration data.

[0080] In some embodiments of this application, when obtaining the heavy metal concentration based on the content of multiple heavy metal particulate matter after collection, the heavy metal concentration is calculated using the following formula:

[0081] ;

[0082] Wherein, Gn represents the heavy metal concentration, Gi represents the content of the i-th heavy metal particles, Ti represents the temperature at the i-th collection, Ty represents the standard temperature, β represents the temperature influence coefficient, M represents the average mass of a single heavy metal particle, and V represents the area of ​​the detection region.

[0083] Specifically, the core of the formula is to correct the heavy metal particulate matter content collected in each sampling session according to the difference between the sampling temperature and the standard temperature, thus correcting the influence of temperature on the sampling results. By dividing by a temperature adjustment coefficient, the amount of particulate matter collected at different temperatures is adjusted. The sum of the corrected particulate matter content is divided by the volume of the detection area, and then the average mass of a single heavy metal particle is considered to finally obtain the temperature-corrected heavy metal concentration.

[0084] Understandably, the temperature correction formula effectively eliminates the interference of temperature fluctuations on the collection and detection results of heavy metal particles. Even under different temperature conditions, the system can ensure that the calculated heavy metal concentration results are stable and reliable through the temperature correction mechanism. The temperature correction mechanism reduces the need for strict control of the ambient temperature of the detection area, reduces the complexity of equipment and operation, and makes the system easier to operate and maintain.

[0085] In the above embodiments, exhaust gas is introduced into the detection area by an induced draft fan. Real-time airflow data is collected, and a rotating component positioned within the detection area is activated to ensure a relatively uniform flow of exhaust gas upon entry. The initial rotation speed of the rotating component is determined based on the airflow, optimizing and controlling the exhaust gas velocity and direction within the detection area, thus avoiding uneven distribution of heavy metal particles due to changes in airflow velocity and direction. Flow velocity data is collected at various locations to determine the real-time distribution of exhaust gas within the detection area, dynamically adjusting the speed and direction of the rotating component accordingly. This further ensures a uniform distribution of heavy metal particles in the exhaust gas within the detection area, improving the collection efficiency and detection accuracy of the electrostatic bar. The electrostatic bar effectively captures heavy metal particles in the exhaust gas using electrostatic force, and its collection frequency can be flexibly adjusted based on the real-time detected particle concentration, ensuring highly efficient heavy metal particle capture. In the final heavy metal concentration calculation, multiple sets of heavy metal particle content data are collected and comprehensively analyzed to reduce random errors and fluctuations that may occur during a single collection.

[0086] In another preferred embodiment based on the above embodiments, see [reference] Figure 2 As shown, this embodiment provides a heavy metal particle collection device for waste gas, used in applying the above-mentioned method for collecting heavy metal particles in waste gas, including:

[0087] An exhaust fan is used to introduce exhaust gas into the testing area;

[0088] A rotating component is installed within the detection area, and the rotation direction of the rotating component is perpendicular to the air inlet direction of the induced draft fan;

[0089] The sensor assembly includes a first air intake sensor, several wind speed sensors, a dust concentration sensor, and a temperature sensor;

[0090] The control device is electrically connected to the induced draft fan, the rotating assembly, and the sensor assembly. The control device includes a data acquisition unit, a judgment unit, and a processing unit.

[0091] The acquisition unit is configured to determine the initial rotational speed of the rotating component based on the air intake volume;

[0092] The judgment unit is configured to collect the air flow velocity at several points within the detection area, determine the distribution of exhaust gas within the detection area based on the air flow velocity, and determine whether to adjust the initial rotation speed based on the distribution.

[0093] The processing unit is configured to determine the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration in the detection area, and obtain the heavy metal concentration based on multiple sets of heavy metal particulate matter content after sampling.

[0094] Understandably, the exhaust fan introduces the exhaust gas into the detection area through a pipeline. The detection area is a closed temporary storage area. The rotating component is located in the middle of the detection area. The rotating component disperses the exhaust gas introduced by the exhaust fan by rotating, so that the exhaust gas is freely distributed in the detection area. Wind speed sensors are evenly distributed in the detection area, with at least two wind speed sensors. At the same time, dust concentration sensors and temperature sensors are also installed in the detection area to detect the overall dust concentration and temperature data in the area.

[0095] Understandably, the above embodiment introduces exhaust gas into the detection area using an induced draft fan, collects airflow data in real time, and activates a rotating component positioned within the detection area to ensure a relatively uniform flow of exhaust gas upon entry. The initial rotation speed of the rotating component is determined based on the airflow, optimizing and controlling the exhaust gas velocity and direction within the detection area, thus avoiding uneven distribution of heavy metal particles due to changes in airflow velocity and direction. Flow velocity data is collected at various locations to determine the real-time distribution of exhaust gas within the detection area, dynamically adjusting the speed and direction of the rotating component accordingly. This further ensures a uniform distribution of heavy metal particles in the exhaust gas within the detection area, improving the collection efficiency and detection accuracy of the electrostatic bar. The electrostatic bar effectively captures heavy metal particles in the exhaust gas using electrostatic force and can flexibly adjust its collection frequency based on the real-time detected particle concentration, ensuring highly efficient heavy metal particle capture. In the final heavy metal concentration calculation, multiple sets of heavy metal particle content data are collected and comprehensively analyzed to reduce random errors and fluctuations that may occur during a single collection.

[0096] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0098] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for collecting heavy metal particles in waste gas, characterized in that, include: The exhaust gas is introduced into the detection area by an induced draft fan. The air volume at the inlet of the induced draft fan per unit time is collected, and the rotating component set in the detection area is turned on. The initial rotation speed of the rotating component is determined based on the air intake volume. The air flow velocity at several points within the detection area is collected. The distribution of exhaust gas within the detection area is determined based on the air flow velocity. The initial rotation speed is then adjusted based on the distribution. A bipolar electrostatic bar is placed in the detection area, and the sampling frequency of the bipolar electrostatic bar is determined based on the particulate matter concentration in the detection area. After collection, the heavy metal concentration was obtained based on the content of multiple heavy metal particulate matter samples. When determining the distribution of exhaust gas within the detection area based on the airflow velocity, the following methods are included: Several wind speed sensors are arranged in the detection area to collect air flow speed data from the wind speed sensors, establish a speed dataset, and obtain a uniformity coefficient based on the speed dataset. The distribution of exhaust gas in the detection area is then determined based on the uniformity coefficient. The uniformity coefficient is calculated using the following formula: ； ； ； in, Represents the uniformity coefficient. This indicates the deviation in airflow velocity within the detection area. This represents the average airflow velocity within the detection area; N represents the number of wind speed sensors, and Fi represents the airflow velocity data collected by the i-th wind speed sensor. When determining the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration within the detection area, the following is included: The particulate matter concentration is compared with a first preset particulate matter concentration and a second preset particulate matter concentration, respectively. The first preset particulate matter concentration is less than the second preset particulate matter concentration. The sampling frequency of the bipolar electrostatic bar is determined based on the comparison results. Based on the first comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the first preset sampling frequency; Based on the second comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the second preset sampling frequency; Based on the third comparison result, the sampling frequency of the bipolar electrostatic bar is determined to be the third preset sampling frequency; Wherein, the first comparison result is that the particulate matter concentration is less than or equal to the first preset particulate matter concentration, the second comparison result is that the particulate matter concentration is greater than the first preset particulate matter concentration and less than or equal to the second preset particulate matter concentration, the third comparison result is that the particulate matter concentration is greater than the second preset particulate matter concentration, the first preset sampling frequency is greater than the second preset sampling frequency, and the second preset sampling frequency is greater than the third preset sampling frequency.

2. The method for collecting heavy metal particles in exhaust gas according to claim 1, characterized in that, When determining the distribution of exhaust gas within the detection area based on the uniformity coefficient, the following steps are included: When the uniformity coefficient Cj is greater than or equal to 0.1, it is determined that the distribution of exhaust gas in the detection area is not uniform, and the initial rotation speed is adjusted to perform detection at the adjusted rotation speed. When the uniformity coefficient Cj is less than 0.1, it is determined that the distribution of exhaust gas in the detection area is uniform, and the initial rotation speed is not adjusted; the detection is performed at the initial rotation speed.

3. The method for collecting heavy metal particles in waste gas according to claim 2, characterized in that, When it is determined that the initial rotational speed needs to be adjusted, the following is included: Obtain the uniformity coefficient difference, which is the difference between the uniformity coefficient and the threshold 0.

1. Compare the uniformity coefficient difference with a first preset difference and a second preset difference respectively. If the first preset difference is less than the second preset difference, select an adjustment coefficient based on the comparison result to adjust the initial rotation speed and obtain the adjusted rotation speed. When the difference in uniformity coefficients is less than or equal to a first preset difference, a first adjustment coefficient is determined to adjust the initial rotation speed; When the difference in uniformity coefficients is greater than a first preset difference and less than or equal to a second preset difference, a second adjustment coefficient is determined to adjust the initial rotation speed. When the difference in the uniformity coefficient is greater than the second preset difference, a third adjustment coefficient is determined to adjust the initial rotation speed; Wherein, the first adjustment coefficient is less than the second adjustment coefficient, the second adjustment coefficient is less than the third adjustment coefficient, and the first adjustment coefficient is greater than 1, and the third adjustment coefficient is less than 1.

2.

4. A device for collecting heavy metal particles in exhaust gas, used in applying the method for collecting heavy metal particles in exhaust gas as described in any one of claims 1-3, characterized in that, include: An exhaust fan is used to introduce exhaust gas into the testing area; A rotating component is disposed within the detection area, and the rotation direction of the rotating component is perpendicular to the air inlet direction of the induced draft fan; The sensor assembly includes a first air intake sensor, several wind speed sensors, a dust concentration sensor, and a temperature sensor; A control device is electrically connected to the induced draft fan, the rotating assembly, and the sensor assembly. The control device includes a data acquisition unit, a judgment unit, and a processing unit. The acquisition unit is configured to determine the initial rotational speed of the rotating component based on the air intake volume; The judgment unit is configured to collect air flow velocity at several points within the detection area, determine the distribution of exhaust gas within the detection area based on the air flow velocity, and determine whether to adjust the initial rotation speed based on the distribution. The processing unit is configured to determine the sampling frequency of the bipolar electrostatic bar based on the particulate matter concentration in the detection area, and to obtain the heavy metal concentration based on multiple sets of heavy metal particulate matter content after sampling.

Images