DATA PROCESSING DEVICE AND METHOD FOR SUSPENSION CONCENTRATION

Abstract

A data processing device (100) for a particulate matter concentration comprises a transmitter-receiver circuit (110), a data storage device (130), and a processor (120). The processor (120) performs the following steps: calculating a first average output current value from several first current values ​​(v11-v1n) and a second average output current value from several second current values ​​(v21-v2n); calculating a first particulate matter concentration and a second particulate matter concentration from a first dust spray parameter (p1) and a second particulate matter concentration, respectively.a second dust spray parameter (p2); generating a linear equation based on the first average output current value, the second average output current value, the first particulate matter concentration and the second particulate matter concentration; and converting the linear equation into a range conversion equation and using the range conversion equation to convert a third current value (v3) into a third particulate matter concentration.

Description

Background of the Revelation: Technical Field

[0001] The disclosure relates to dust measurement technologies and, in particular, to a data processing device and a method for determining the concentration of suspended particles. Description of the related field

[0002] A suspended particulate matter (SPF) concentration refers to the dust content in a unit volume of air. Factories and other buildings are often subject to higher emission standards for SPF concentrations, particularly when dust is released into the environment. Environmental protection regulations often apply. To determine whether SPF concentration data meets these standards, the data must be measured using specific calibration procedures and appropriate measuring equipment. This ensures a reliable detection and dosing accuracy for factory equipment installed on an exhaust duct. Furthermore, a complete detection procedure must be performed once in various areas of the factory to determine whether the SPF emission meets the required standards.However, existing technologies often require long-term detection to determine the concentration of suspended particles. Therefore, the question of how to quickly detect the concentration of suspended particles in an exhaust gas line discharge process at various points is a pressing problem that experts in the field are seeking to solve. Summary of Revelation

[0003] The purpose of the disclosure is to provide a data processing device and a method for measuring suspended particulate matter concentration that achieves an effect of rapidly detecting suspended particulate matter concentrations in various areas.

[0004] In one of the exemplary embodiments, the data processing device of the disclosure comprises the following: a transmitter-receiver circuit (110) configured to receive multiple first current values ​​(v11-v1n) from a detection circuit (14) in a first dust detection area during a first time series and to receive multiple second current values ​​(v21-v2n) from the detection circuit (14) in the first dust detection area during a second time series; a data storage device (130) configured to store a first dust spray parameter (p1), a second dust spray parameter (p2), an environment parameter (p3) in the first dust detection area and a dust parameter (p4), wherein the first dust spray parameter (p1) is used to set a dust spray state of the dust in the first dust detection area during the first time series and the second dust spray parameter (p2) is used to set the dust spray state of the dust in the first dust detection area during the second time series; a processor (120) connected to the transmitter-receiver circuit (110) and the data storage (130) and configured to perform the following steps: Calculating a first average output current value of the several first current values ​​(v11-v1n) and a second average output current value of the several second current values ​​(v21-v2n); Calculating a first suspended particle concentration and a second suspended particle concentration based on the first dust spray parameter (p1) and the second dust spray parameter (p2), respectively; Generating a linear equation based on the first average output current value, the second average output current value, the first suspended solids concentration, and the second suspended solids concentration; Receiving an environmental parameter (p3'), a dust parameter (p4') and a third current value (v3) generated by dust in a second dust detection area by the transmitter-receiver circuit (110) and calculating an environmental compensation value corresponding to the second dust detection area based on the environmental parameter (p3') and the dust parameter (p4') in the second dust detection area and the environmental parameter (p3) and the dust parameter (p4) in the first dust detection area; and Using the environmental compensation value to convert the linear equation into a range conversion equation, and using the range conversion equation to convert the third current value (v3) into a third suspended particulate matter concentration. In one of the exemplary embodiments, the data processing method for a suspended solids concentration of the disclosure comprises the following: Calculating a first average output current value of several first current values ​​(v11-v1n) and a second average output current value of several second current values ​​(v21-v2n) by a processor (120), wherein the several first current values ​​(v11-v1n) are detected from a first dust detection area during a first time series and the several second current values ​​(v21-v2n) are detected from the first dust detection area during the second time series; Calculating a first particulate matter concentration and a second particulate matter concentration based on a first dust spray parameter (p1) and a second dust spray parameter (p2) respectively, which are stored, by the processor (120), wherein the first dust spray parameter (p1) is used to set a dust spray state of the dust in the first dust detection area during the first time series and the second dust spray parameter (p2) is used to set the dust spray state of the dust in the first dust detection area during the second time series; Generating a linear equation based on the first average output current value, the second average output current value, the first particulate matter concentration and the second particulate matter concentration by the processor (120); Receiving an environmental parameter (p3'), a dust parameter (p4') and a third current value (v3) generated by dust in a second dust detection area by the transmitter-receiver circuit (110) by the processor (120) and calculating an environmental compensation value corresponding to the second dust detection area, based on the environmental parameter (p3') and the dust parameter (p4') in the second dust detection area and the environmental parameter (p3) and the dust parameter (p4) in the first dust detection area by the processor (120); and Utilizing the environmental compensation value to convert the linear equation into a range conversion equation, and utilizing the range conversion equation to convert the third current value (v3) into a third suspended particulate matter concentration, by the processor (120). Compared to related technologies, the disclosure generates the linear equation in advance for the dust detection range for testing and then calculates the environmental compensation value corresponding to the second dust detection range. Furthermore, the disclosure generates the range conversion equation based on the linear equation and the environmental compensation value to utilize the range conversion equation, which converts the current value into the particulate matter concentration, in the dust detection range where formal dust detection is required. In this way, the disclosure not only overcomes the previous problem of requiring long-term detection to determine the particulate matter concentration but also achieves the effect of rapidly detecting the particulate matter concentration in different ranges. Description of the drawings Fig. Figure 1 is a block diagram of a data processing device for a suspended solids concentration in some embodiments of the disclosure. Fig. Figure 2 is a schematic diagram of a first dust detection area in some embodiments of the disclosure. Fig. Figure 3A is a schematic diagram of a cross-section of an exhaust pipe in some embodiments of the disclosure. Fig. Figure 3B is a schematic diagram of a cross-section of the exhaust pipe in other embodiments of the disclosure. Fig. Figure 4 is a flowchart of a data processing procedure for a suspended solids concentration in some embodiments of the disclosure. Detailed description

[0005] With reference to the accompanying drawings, the technical details and a precise description of the disclosure are below described using several embodiments, which are not used to limit its scope. Any equivalent modification and adaptation made according to the accompanying claims are all covered by the claims asserted by the disclosure.

[0006] It will be on Fig. Reference is made to Figure 1, which is a block diagram of a data processing device for a suspended solids concentration in some embodiments of the disclosure. The data processing device 100 for a suspended solids concentration in Fig. 1 is implemented by any electronic device or server used for data processing. For example, the data processing device 100 for a particulate matter concentration is a terminal processing device (i.e., a mobile phone, a desktop computer, or a tablet computer, etc.), a cloud device, a server, or a cloud server. As in Fig. As shown in Figure 1, the data processing device 100 for a suspended solids concentration includes a transmitter-receiver circuit 110, a processor 120, and a data storage device 130. The processor 120 is coupled to the transmitter-receiver circuit 110 and the data storage device 130.

[0007] In this embodiment, the transmitter-receiver circuit 110 receives several first current values ​​v11-v1n from a detection circuit 14 in a first dust detection area during a first time series and receives several second current values ​​v21-v2n from the detection circuit 14 in the first dust detection area during a second time series, where n is any positive integer and there are no special restrictions. In some embodiments, the first time series is different from the second time series. In some embodiments, the first time series is one of several time series after dust spraying activity has started in the first dust detection area, and the second time series is another time series after the dust spraying activity has started in the first dust detection area. In some embodiments, the second time series is a time series after the first time series (e.g.,The first time series is 0-1500 seconds after the dust spraying activity has started, and the second time series is 1501-3000 seconds after the dust spraying activity has started.

[0008] In some embodiments, the detection circuit 14 is any circuit used for detecting current. In some embodiments, the detection circuit 14 is connected to a probe in an exhaust pipe in the first dust detection area and is used to detect the current generated when dust strikes the probe in the exhaust pipe (i.e., the current generated after the dust spraying activity has begun). In some embodiments, the first dust detection area is any laboratory, any test machine room, or any test factory (i.e., an area for testing) with the exhaust pipe for exhaust gas testing. In some embodiments, the multiple first current values ​​v11-v1n are multiple currents detected by the detection circuit 14 at multiple first sampling times (e.g., there is one first sampling time per second in the first time series).In some embodiments, the multiple second current values ​​v21-v2n are multiple currents that are detected by the detection circuit 14 at multiple second sampling times (e.g., there is one second sampling time per second in the second time series). In some embodiments, the transmitter-receiver circuit 110 is one or a combination of a transmitter circuit, an analog-to-digital converter, a digital-to-analog converter, a low-noise amplifier, a mixer, a filter, an impedance matching device, a transmission line, a power amplifier, one or more antenna circuits, and a local storage element.

[0009] The first dust detection area is described below with a practical example. It will also be noted that... Fig. 2. Referenced, whereby Fig. 2 is a schematic diagram of the first dust detection area in some embodiments of the disclosure. As in Fig. As shown in Figure 2, the first dust detection area 2 includes the exhaust pipe 200. The exhaust pipe 200 blows air from point T1 to point T2 at a specific wind speed (such as wind speeds of 3 meters per second, 40 meters per second, etc., but not limited to this), which means that the dust D in the air is also blown from point T1 to point T2.

[0010] The first dust detection area 2 further comprises the probe 12 and the detection circuit 14. The probe 12 is inserted into the exhaust pipe 200 from one side. In one of the exemplary embodiments, the insertion depth D1 of the probe 12, which is inserted into the flue gas pipe 200, is 1 / 3 to 2 / 3 of a cross-sectional diameter (e.g., the diameter R in Fig. 3A, which is described below) of the exhaust pipe 200. When the dust D (charged particles or uncharged particles) touches, impacts, or rubs against the probe 12, an electric current is generated on the probe 12. In this way, the detection circuit 14 performs filtering, amplification, and other procedures on the induced current, such that the transmitter-receiver circuit 110 receives the current.

[0011] In some embodiments, the first dust detection area 2 further comprises a weight detection circuit 16, an anemometer 18U, an anemometer 18D, a hygrometer 20, a thermometer 22, and a pressure gauge 24. The weight detection circuit 16 is arranged in a container (not shown) in which the dust D to be sprayed is stored. The anemometer 18U, the anemometer 18D, the hygrometer 20, the thermometer 22, and the pressure gauge 24 are arranged in the exhaust duct 200. The weight detection circuit 16 is used to detect the total weight of the dust D to be sprayed. The anemometer 18U and the anemometer 18D are used to detect a specific wind speed in the exhaust duct 200. The thermometer 22 is used to detect a temperature in the exhaust duct 200. The pressure gauge 24 is used to detect pressure in the exhaust pipe 200.In some embodiments, the weight detection circuit 16 is any type of electronic scale. In some embodiments, the anemometer 18U and the anemometer 18D are any type of hot-wire anemometer or differential pressure anemometer. In some embodiments, the hygrometer 20 is any type of pointer hygrometer or electronic hygrometer. In some embodiments, the thermometer 22 is any type of electronic thermometer. In some embodiments, the pressure gauge 24 is any type of pointer pressure gauge or electronic pressure gauge.

[0012] In some embodiments, the first dust detection area 2 further comprises an outlet 26 and a vent 28. The outlet 26 is used to convey the dust D into the exhaust line 200. The anemometer 18U is arranged adjacent to the outlet 26. The vent 28 is used to generate a specific wind velocity in the exhaust line 200 to blow the dust D in the air from point T1 to point T2. The anemometer 18D is arranged adjacent to the vent 28. In some embodiments, the vent 28 is any type of exhaust fan (e.g., a blower). It should be noted that a position adjacent to the outlet 26 is referred to as upstream, and a position adjacent to the vent 28 is referred to as downstream.

[0013] With renewed reference to Fig. In this embodiment, the data storage device 130 stores a first dust spray parameter p1, a second dust spray parameter p2, an environmental parameter p3 in the first dust detection area 2, and a dust parameter p4 in the first dust detection area 2, wherein the first dust spray parameter p1 is used to set a dust spray state of the dust in the first dust detection area 2 during the first time series, and the second dust spray parameter p2 is used to set the dust spray state of the dust in the first dust detection area 2 during the second time series. In some embodiments, the data storage device 130 is implemented by flash memory, read-only memory, a hard disk, or any equivalent storage component.

[0014] In some embodiments, the first dust spray parameter p1 includes a time length of the first time series (i.e., a time difference between a start time of the first time series and an end time of the first time series), a cross-sectional area of ​​the exhaust duct 200 in the first dust detection area 2, an average wind speed in the exhaust duct 200 of the first dust detection area 2 during the first time series, and a dust weight difference in the first dust detection area 2 during the first time series. In some embodiments, the aforementioned average wind speed is an average value from a single anemometer (e.g., anemometer 18U or anemometer 18D) during one of the time series.

[0015] In other embodiments, the average wind speed is a mean value (i.e., a mean-average wind speed) between a wind speed detected (i.e., sampled) by the upstream anemometer 18U at a geometric center of a pipe cross-section of the exhaust duct 200 during one of the time series and a wind speed detected by the downstream anemometer 18D at the geometric center of another pipe cross-section of the exhaust duct 200 during the same time series, wherein one position of the anemometer 18U is located on this pipe cross-section (i.e., an upstream section) and one position of the anemometer 18D is located on the other pipe cross-section (i.e., a downstream section). It should be noted that this mean value is called the mean-average wind speed.

[0016] In other embodiments, the average wind speed is a mean value between a wind speed detected by the upstream anemometer 18U at any point (e.g., at any point in the same cross-section as the geometric center of the conduit cross-section) in the conduit cross-section of the exhaust pipe 200 during one of the time series, and a wind speed detected by the downstream anemometer 18D at any point (i.e., any point on the same cross-section as the geometric center of the other conduit cross-section) of the other conduit cross-section of the exhaust pipe 200 during one of the time series.It should be mentioned that the mean of the wind speeds on the upstream and downstream pipe cross-sections, which are sampled in the same time series, is called an average wind speed in the upstream and downstream cross-sections after evaluation of a detection uncertainty on the above-mentioned two pipe cross-sections.

[0017] Since the average wind speed, the average mean wind speed, or the average wind speed in the upstream and downstream cross-sections detected by the single anemometer in one of the time series evaluate a flow stability pattern of a wind field in the exhaust pipe 200, the detection uncertainty of the obtained average wind speeds exhibits various systematic estimation errors, which affects a final calculation of the suspended particulate matter concentration.

[0018] In some embodiments, the second dust spray parameter p2 includes a temporal length of the second time series (i.e., a time difference between a start time of the second time series and an end time of the second time series), the cross-sectional area of ​​the exhaust pipe 200 in the first dust detection area 2, an average wind speed (the average wind speed, the average mean wind speed, and the average wind speed in the upstream and downstream cross-sections detected by the single anemometer in one of the time series) in the exhaust pipe 200 of the first dust detection area 2 during the second time series, and the dust weight difference in the first dust detection area 2 during the second time series.

[0019] In some embodiments, the environmental parameter p3 includes a wind speed, a temperature, a humidity, a pressure, a shape parameter of the exhaust pipe 200, and a probe insertion depth, which are detected in the exhaust pipe 200 of the first dust detection area 2 at a detection time (e.g., the 5000th second after the start of detection). In some embodiments, the shape parameter of the exhaust pipe 200 includes a diameter, which is measured in advance (e.g., by a user), of the cross-section of the exhaust pipe 200 in the case of a circular pipe in the first dust detection area 2, or a width and length of the cross-section of the exhaust pipe 200 in the case of a rectangular pipe. In some embodiments, the insertion depth of the probe 12 is a vertical depth, which is measured in advance (e.g., by a user).(also measured in advance by the user), a measuring rod which is inserted into the exhaust pipe 200 in the first dust detection area 2.

[0020] In some embodiments, the dust parameter p4 in the first dust detection area 2 includes a particle diameter and a dielectric constant of the dust in the first dust detection area 2. In some embodiments, the dust particle diameter and the dielectric constant of the dust in the first dust detection area 2 are measured beforehand for the dust. It should be noted that methods for detecting the particle diameter and the dielectric constant of the dust are commonly used techniques in the field and are not described further here.

[0021] In some embodiments, the dust spray state in the first dust detection area 2 during the first time series indicates that during the first time series, the dust equivalent of the weight of the dust weight difference during the second time series is sprayed into the exhaust pipe 200. In some embodiments, the dust spray state in the first dust detection area 2 during the second time series indicates that during the second time series, the dust equivalent of the weight of the dust weight difference during the second time series is sprayed into the exhaust pipe 200.

[0022] Further details on actual examples of average wind speed and total dust weight are given with reference to Fig. 2 described. As in Fig. As shown in Figure 2, the vent 28 is set to rotate at a specific speed during the first time series. At the start time of the first time series, the weight detection circuit 16 detects a total weight of the dust to be sprayed D as a total dust weight at the start time of the first time series. At the end time of the first time series, the weight detection circuit 16 detects a total weight of the dust to be sprayed D as a total dust weight at the end time of the first time series. In this way, the total dust weight at the start time of the first time series and the total dust weight at the end time of the first time series are transmitted in advance to the processor 120 by the transmitter-receiver circuit 110. The processor 120 calculates the dust weight difference (i.e.,The dust weight difference during the first time series) between the total dust weight at the start time of the first time series and the total dust weight at the end time of the first time series, and stores the dust weight difference in data memory 130. At the several first sampling times in the first time series, the upstream anemometer 18U and the downstream anemometer 18D each detect several first wind speeds in the exhaust pipe 200 and transmit the several first wind speeds in advance to the processor 120 via the transmitter-receiver circuit 110. The processor 120 calculates the average wind speed (i.e.the average wind speed, the average mean wind speed or the average wind speed in the upstream and downstream cross-sections detected by the single anemometer during one of the time series, as described in the preceding paragraph) of the multiple first wind speeds as the average wind speed in the exhaust pipe 200 during the first time series based on a number of the multiple first sampling times and stores the average wind speed in the data memory 130.

[0023] Furthermore, the vent 28 is set to rotate at a specific speed during the second time series. At the start time of the second time series, the weight detection circuit 16 detects the total weight of the dust to be sprayed, D, as a total dust weight at the start time of the second time series. At the end time of the second time series, the weight detection circuit 16 detects a total weight of the dust to be sprayed, D, as a total dust weight at the end time of the second time series. In this way, the total dust weight at the start time of the second time series and the total dust weight at the end time of the second time series are transmitted in advance to the processor 120 by the transmitter-receiver circuit 110. The processor 120 calculates the dust weight difference (i.e.,The dust weight difference during the second time series) between the total dust weight at the start time of the second time series and the total dust weight at the end time of the second time series, and stores the dust weight difference in the data memory 130. At the several second sampling times in the second time series, the upstream anemometer 18U and the downstream anemometer 18D each detect several second wind speeds in the exhaust pipe 200 and transmit the several second wind speeds in advance to the processor 120 via the transmitter-receiver circuit 110. The processor 120 calculates the average wind speed (i.e.the average wind speed, the average mean wind speed or the average wind speed in the upstream and downstream cross-sections detected by the single anemometer during one of the time series, as described in the preceding paragraph) of the multiple second wind speeds as the average wind speed in the exhaust pipe 200 during the second time series based on a number of the multiple second sampling times and stores the average wind speed in the data memory 130.

[0024] Further details on actual examples of the wind speed, temperature, humidity and pressure in the exhaust pipe 200, which are detected at the detection time in the first dust detection area 2, are given with reference to Fig. 2 described. As in Fig. As shown in Figure 2, the anemometers 18U and 18D detect the wind speed in the exhaust pipe 200 at the detection time and transmit the wind speed via the transmitter-receiver circuit 110 to the data storage device 130. The hygrometer 20 detects the humidity in the exhaust pipe 200 and also transmits the humidity via the transmitter-receiver circuit 110 to the data storage device 130. The pressure gauge 24 detects the pressure in the exhaust pipe 200 and also transmits the pressure via the transmitter-receiver circuit 110 to the data storage device 130.

[0025] The cross-sectional area of ​​the exhaust pipe 200 is described below with a practical example. It is also pointed out that... Fig. 3A is referenced, whereby Fig. Figure 3A is a schematic diagram of the cross-sectional area SC of the exhaust pipe 200 in some embodiments of the disclosure. As in Fig. As shown in Figure 3A, the cross-sectional area SC of the exhaust pipe 200 is circular with a diameter R, where one area of ​​this circle is the aforementioned cross-sectional area. It is also shown that Fig. 3B is referenced, whereby Fig. Figure 3B is a schematic diagram of the cross-sectional area SC of the exhaust pipe 200 in other embodiments of the disclosure. As in Fig. As shown in Figure 3B, the cross-section SC of the exhaust pipe 200 is rectangular with a length L and a width W, where the area of ​​this rectangle is the cross-sectional area mentioned above.

[0026] In some embodiments, the processor 120 accesses the first dust spray parameter p1 and the second dust spray parameter p2, which are stored in the data memory 130, to perform steps described in the following paragraphs. In some embodiments, the processor 120 is implemented by, but is not limited to, a central processing unit (CPU), a microcontroller (MCU), a programmable logic controller (PLC), a system-on-a-chip (SoC), or a user-programmable gate array (FPGA).

[0027] It will also be applied Fig. 4. Referenced, whereby Fig. 4. A flowchart of a data processing procedure for a suspended solids concentration in some embodiments of the disclosure is based on the in Fig. 1. The data processing device shown is applicable to 100.

[0028] As in Fig. As shown in Figure 4, in step S410, the processor 120 first calculates a first average output current value of the multiple first current values ​​v11-v1n and a second average output current value of the multiple second current values ​​v21-v2n. In some embodiments, the processor 120 calculates a first time interval between the multiple first sampling times (i.e., the first time interval is present between any two adjacent first sampling times) and performs an averaging calculation based on the first time interval, the multiple first current values ​​v11-v1n, and a number of the multiple first current values ​​v11-v1n to generate a first average output current value of the multiple first current values ​​v11-v1n. In some embodiments, the processor 120 calculates a second time interval between the multiple second sampling times (i.e.,The second time interval is present between any two adjacent second sampling times) and performs the averaging calculation based on the second time interval, the multiple second current values ​​v21-v2n, and a number of the multiple second current values ​​v21-v2n to generate a second average output current value of the multiple second current values ​​v21-v2n. In some embodiments, the averaging calculation is as shown in the following formula (1): Iavex=1n×ti×∑i=1nxi×ti

[0029] I avex represents the average output current value (i.e., the first average output current value or the second average output current value), x i represents the current value (i.e., the first current value or the second current value), t irepresents the time interval (i.e., the first time interval or the second time interval) and n represents the number of current values ​​(i.e., the number of multiple first current values ​​v11-v1n or multiple second current values ​​v21-v2n).

[0030] In step S420, the processor 120 calculates the first and second particulate matter concentrations based on the first dust spray parameter p1 and the second dust spray parameter p2. In some embodiments, the processor 120 performs a concentration calculation to determine the first particulate matter concentration (e.g., 50 mg / m³). 3) based on the time length of the first time series, the cross-sectional area of ​​the exhaust pipe 200, the average wind speed in the exhaust pipe 200 (i.e., the average wind speed, the mean average wind speed, or the average wind speed in the upstream and downstream cross-sections detected by the single anemometer during one of the time series, as described in the preceding paragraph), and the dust weight difference of the first dust spray parameter p1. In some embodiments, the processor 120 performs the concentration calculation to determine the second suspended particulate matter concentration (e.g., 150 mg / m³). 3) based on the length of the second time series, the cross-sectional area of ​​the exhaust pipe 200, the average wind speed in the exhaust pipe 200, and the dust weight difference of the second dust spray parameter p2. In some embodiments, the concentration calculation is as shown in the following formula (2): CNx=ΔGΔt×A×V

[0031] C Nxis the suspended particulate matter concentration (i.e., the first suspended particulate matter concentration or the second suspended particulate matter concentration), “ΔG” is the dust weight difference (i.e., the dust weight difference in the first time series or the dust weight difference in the second time series), “A” is the cross-sectional area of ​​the exhaust pipe 200, and “V” is the average wind speed (i.e., the average wind speed, the mean average wind speed, or the average wind speed in the upstream and downstream cross-sections detected by the single anemometer during one of the time series, as described in the preceding paragraph).

[0032] In step S430, the processor 120 generates a linear equation based on the first average output current value, the second average output current value, the first particulate matter concentration, and the second particulate matter concentration. In some embodiments, the linear equation specifies a relationship between a particulate matter concentration in the first dust detection area 2 and a current value generated by the dust. In some embodiments, the processor 120 generates a first coordinate on a two-dimensional coordinate system plane based on the first average output current value and the first particulate matter concentration, and generates a second coordinate on the two-dimensional coordinate system plane based on the second average output current value and the second particulate matter concentration.The processor 120 then generates a linear equation on the two-dimensional coordinate system plane based on the first and second coordinates. In some embodiments, the processor 120 uses the first average output current value as an abscissa of the first coordinate and the first suspended solids concentration as an ordinate of the first coordinate. In some embodiments, the processor 120 uses the second average output current value as an abscissa of the second coordinate and the second suspended solids concentration as an ordinate of the second coordinate. In some embodiments, the linear equation is as shown in the following equation (3): Y=aX+b

[0033] Y represents the particulate matter concentration in the first dust detection area 2, X represents the current value in the first dust detection area 2, a = (Y2 - Y1) / (X2 - X1), X1 represents the first average output current value, Y1 represents the first particulate matter concentration, X2 represents the second average output current value, Y2 represents the second particulate matter concentration and b = Y1 - aX1 or b = Y2 - aX2.

[0034] It should be noted that the above description uses the method of sampling the current values ​​in the two time series only as an example. However, in other embodiments of the disclosure, the current values ​​can also be sampled in more time series in order to calculate more coordinates. In this way, the linear equation is further improved to achieve a more accurate conversion between the current and the suspended particulate matter concentration.

[0035] In step S440, the processor 120 receives an environmental parameter p3', a dust parameter p4' and a third current value v3, which is generated by the dust in a second dust detection area, through the transmitter-receiver circuit 110 and calculates an environmental compensation value corresponding to the second dust detection area, based on the environmental parameter p3' and the dust parameter p4' in the second dust detection area, and the environmental parameter p3 and the dust parameter p4 in the first dust detection area 2.

[0036] In some embodiments, the second dust detection area is any factory or machine room that produces goods (i.e., an area that requires formal dust detection). It should be noted that one way of setting up the second dust detection area is the same as (i.e., similar to) the first. Fig. 2) the manner in which the first dust detection area is set up. The difference is that an exhaust duct (i.e., another exhaust duct) of the second dust detection area is located directly at the outlet of the factory or machine room (i.e., the second dust detection area does not have the weight detection circuit 16 as in the first dust detection area 2 and cannot directly detect a quantity of the released dust by the weight detection circuit 16) and points to the outlet (i.e., the outlet 24 in Fig. 2) for controllable dust spraying as in the first dust detection area 2. In some embodiments, the third current value v3 is a current value generated by the dust detected in the exhaust pipe in the second dust detection area at a further detection time (e.g. the 6000th second after the detection has been started).

[0037] In some embodiments, the environmental parameter p3' in the second dust detection zone also includes the wind speed, temperature, humidity, pressure, the shape parameter of the exhaust pipe, and the probe insertion depth in the exhaust pipe, which are detected at a further detection time in the second dust detection zone. In some embodiments, the shape parameter of the exhaust pipe includes the diameter of the cross-section of the exhaust pipe (of a circular exhaust pipe) in the second dust detection zone, which is measured in advance (e.g., by the user), or the width or length of the cross-section of the exhaust pipe (of a rectangular exhaust pipe). In some embodiments, the probe insertion depth is a vertical depth, also measured in advance (e.g., by the user), of the probe inserted into the exhaust pipe in the second dust detection zone.

[0038] In some embodiments, the dust parameter p4' in the second dust detection area also includes the particle diameter in the second dust detection area and the dielectric constant of the dust. It should be noted that the method of generating the environmental parameter p3' and the dust parameter p4' is fundamentally the same as the method of generating the environmental parameter p3 and the dust parameter p4. The difference between the environmental parameter p3' and the dust parameter p4' compared to the environmental parameter p3 and the dust parameter p4 is that the environmental parameter p3' and the dust parameter p4' are detected in the second dust detection area, while the environmental parameter p3 and the dust parameter p4 are detected in the first dust detection area. Furthermore, after generation, the data for the environmental parameter p3' and the dust parameter p4' are transmitted to the processor 120 by the transmitter-receiver circuit 110.Therefore, the rest of the same components are not repeated here.

[0039] In some embodiments, the environmental compensation value is as shown in the following formula (4): Kn=AnAt×Ln×(Dt)−1Lt×(Dn)−1×VnVt×PnPt×εnεt×TnTtdndt×HnHt

[0040] K n is the environmental compensation value of the exhaust gas pipe with a circular pipe. A n is the cross-sectional area of ​​the exhaust pipe 200 in the first dust detection area 2 (i.e. calculated from the diameter included in the shape parameter of the exhaust pipe 200 in the first dust detection area 2), A t is the cross-sectional area of ​​the exhaust pipe in the second dust detection area (i.e., calculated from the diameter included in the shape parameter of the exhaust pipe 200 in the second dust detection area), L n The probe insertion depth of the exhaust pipe is 200 in the first dust detection area 2, L tis the probe insertion depth of the exhaust pipe in the second dust detection area, D t The diameter of the exhaust pipe is 200 with the circular pipe in the second dust detection area and D n The diameter of the exhaust pipe is 200 with the circular pipe in the first dust detection area 2.

[0041] Furthermore, V n the average wind speed in the exhaust pipe 200, which is detected in the first dust detection area 2 at the detection time, and V tThis is the average wind speed in the exhaust pipe, detected in the second dust detection area at a further detection time. It should be noted that the average wind speed is also the average wind speed, the mean wind speed, or the average wind speed in the upstream and downstream cross-sections detected by the individual anemometer during one of the time series, as described in the preceding paragraph.Since the average wind speed detected by the individual anemometer during one of the time series, the mean wind speed, or the average wind speed in the upstream and downstream cross-sections evaluates the flow stability pattern of the wind field in the exhaust pipe, the detection uncertainty of the average wind speeds obtained also exhibits various systematic estimation errors, which affects a final calculation of the suspended particulate matter concentration. In other words, the environmental compensation value K. n The final calculation of the suspended particulate matter concentration is affected by the way in which the average wind speed is calculated.

[0042] Furthermore, P n the pressure in the exhaust pipe 200, which is detected in the first dust detection area 2 at the detection time, P tis the pressure in the exhaust pipe that is detected in the second dust detection area at the other detection time, ε n is the dielectric constant of the dust in the first dust detection range 2, ε t is the dielectric constant of the dust in the second dust detection range, T n is the temperature in the exhaust pipe 200, which is detected in the first dust detection area 2 at a detection time, T t is the temperature in the exhaust pipe that is detected in the second dust detection area at the other detection time, d n is the particle diameter in the first dust detection range 2, d t is the particle diameter in the second dust detection range, H n is the moisture in the exhaust pipe 200, which is detected in the first dust detection area 2 at the detection time, and H tThis is the moisture in the exhaust pipe, which is detected in the second dust detection area at the other detection time.

[0043] In other embodiments, the environmental compensation value is as shown in the following formula (5): Kn=AnAt×Ln(Ws+Ls2)−1Lt×(Dn)−1×VnVt×PnPt×εnεt×TnTtdndt×HnHt

[0044] K n is the ambient compensation value of the exhaust gas pipe with the right-angled pipe. A n is the cross-sectional area of ​​the exhaust pipe 200 in the first dust detection area 2 (i.e. calculated from the diameter included in the shape parameter of the exhaust pipe 200 in the first dust detection area 2), A t is the cross-sectional area of ​​the exhaust pipe in the second dust detection area (i.e., calculated from the width and length included in the shape parameter of the exhaust pipe in the second dust detection area), L nis the probe insertion depth of the exhaust pipe 200 in the first dust detection area 2, Lt is the probe insertion depth of the exhaust pipe in the second dust detection area, Ws and Ls are the width and length of the cross-section of the exhaust pipe 200 with the rectangular pipe in the first dust detection area 2 and D n is the diameter of the exhaust pipe with the circular tube in the first dust detection area.

[0045] Furthermore, V n the average wind speed in the exhaust pipe 200, which is detected in the first dust detection area 2 at the detection time, and V tThis is the average wind speed in the exhaust pipe, detected in the second dust detection area at a further detection time. It should be noted that the average wind speed is also the average wind speed, the mean wind speed, or the average wind speed in the upstream and downstream cross-sections detected by the individual anemometer during one of the time series, as described in the preceding paragraph.Since the average wind speed detected by the individual anemometer during one of the time series, the mean wind speed, or the average wind speed in the upstream and downstream cross-sections evaluates the flow stability pattern of the wind field in the exhaust pipe, the detection uncertainty of the average wind speeds obtained also exhibits various systematic estimation errors, which affects a final calculation of the suspended particulate matter concentration. In other words, the environmental compensation value K. n The final calculation of the suspended particulate matter concentration is affected by the way in which the average wind speed is calculated.

[0046] Furthermore, P n the pressure in the exhaust pipe 200, which is detected in the first dust detection area 2 at the detection time, P tis the pressure in the exhaust pipe that is detected in the second dust detection area at the other detection time, ε n is the dielectric constant of the dust in the first dust detection range 2, ε t is the dielectric constant of the dust in the second dust detection range, T n is the temperature in the exhaust pipe 200, which is detected in the first dust detection area 2 at a detection time, T t is the temperature in the exhaust pipe that is detected in the second dust detection area at the other detection time, d n is the particle diameter in the first dust detection range 2, d t is the particle diameter in the second dust detection range, H n is the moisture in the exhaust pipe 200, which is detected in the first dust detection area 2 at the detection time, and H tThis is the moisture in the exhaust pipe, which is detected in the second dust detection area at the other detection time.

[0047] In step S450, the processor 120 uses the ambient balance value to convert the linear equation into a range conversion equation and uses the range conversion equation to convert the third current value v3 into a third suspended particulate matter concentration. In some embodiments, the processor 120 uses the ambient balance value to adjust several constants in the linear equation to generate the range conversion equation. In some embodiments, the processor 120 uses the ambient balance value to perform a multiplication calculation on the several constants in the linear equation to generate the range conversion equation. In some embodiments, the range conversion equation is as shown in the following formula (6): Y=Kn×(aX+b)

[0048] Y represents the particulate matter concentration in the second dust detection range, X represents the current value in the second dust detection range, a and b are the same as a and b in the above-mentioned formula (3) and K n is the same as K n in the aforementioned formula (4) or in the aforementioned formula (5). For example, processor 120 inserts the third current value v3 into X of formula (6) to use the calculated Y as a third particulate matter concentration. In other words, as long as processor 120 detects the current value generated by the dust in the exhaust duct of the second dust detection area at any given detection time, and inserts the generated current value into equation (6), the corresponding particulate matter concentration in the exhaust duct of the second dust detection area is calculated.

[0049] In some embodiments, the data processing device 100 further includes a display interface (not shown), wherein the display interface is any electronic display device (e.g., a liquid crystal display). In some embodiments, the processor 120 can display the generated third particulate matter concentration on the display interface when the third particulate matter concentration has been generated, in order to inform the user of the particulate matter concentration in the second dust detection area at that time.

[0050] Through the steps described above, the data processing device 100 first generates a linear equation for the first dust detection area 2 for verification purposes and then calculates the environmental compensation value of the second dust detection area with respect to the first dust detection area 2. In this way, the data processing device 100 generates the area conversion equation directly from the linear equation and the environmental compensation value and uses the area conversion equation to convert the current value detected in the exhaust duct of the second dust detection area into the particulate matter concentration.This approach eliminates the need to expend additional resources and time to test the second dust detection area in order to generate a new linear equation for converting the current value into the particulate matter concentration.

[0051] In summary, the data processing device and method for measuring particulate matter concentration in the disclosure detect the current value and the particulate matter concentration in the area to be tested in advance for the various time series and generate the equation of the linear relationship between the current value and the particulate matter concentration based on the current value and the particulate matter concentration detected in the different time series. Furthermore, the data processing device and method for measuring particulate matter concentration in the disclosure calculate the compensation value based on the ambient parameter and the dust parameter, respectively, obtained in the area to be tested and in the area where formal dust detection is required, in order to use this compensation value to fit the aforementioned equation.In this way, the data processing device and the method for determining the particulate matter concentration in the disclosure utilize the adapted equation to convert the detected current value into the particulate matter concentration in the area where formal dust detection is required. Therefore, the disclosure not only overcomes the previous problem of requiring long-term detection to determine the particulate matter concentration, but also achieves the effect of rapidly detecting the particulate matter concentration in different areas.

[0052] As those skilled in the art will recognize, various modifications and adaptations can be made to the described embodiment. It is intended that all such modifications, adaptations, and equivalents that fall within the scope of disclosure as defined in the accompanying claims are included.

Claims

[1] Data processing device (100) for a suspended particulate matter concentration comprising: a transmitter-receiver circuit (110) configured to receive multiple first current values ​​(v11-v1n) from a detection circuit (14) in a first dust detection area (2) during a first time series and to receive multiple second current values ​​(v21-v2n) from the detection circuit (14) in the first dust detection area (2) during a second time series; a data storage device (130) configured to store a first dust spray parameter (p1), a second dust spray parameter (p2), an environment parameter (p3) in the first dust detection area (2) and a dust parameter (p4), wherein the first dust spray parameter (p1) is used to set a dust spray state of the dust in the first dust detection area (2) during the first time series and the second dust spray parameter (p2) is used to set the dust spray state of the dust in the first dust detection area (2) during the second time series; a processor (120) connected to the transmitter-receiver circuit (110) and the data storage (130) and configured to perform the following steps: Calculating a first average output current value of the several first current values ​​(v11-v1n) and a second average output current value of the several second current values ​​(v21-v2n); Calculating a first suspended particle concentration and a second suspended particle concentration based on the first dust spray parameter (p1) and the second dust spray parameter (p2), respectively; Generating a linear equation based on the first average output current value, the second average output current value, the first suspended solids concentration, and the second suspended solids concentration; Receiving an environmental parameter (p3'), a dust parameter (p4') and a third current value (v3) generated by dust in a second dust detection area by the transmitter-receiver circuit (110) and calculating an environmental compensation value corresponding to the second dust detection area based on the environmental parameter (p3') and the dust parameter (p4') in the second dust detection area and the environmental parameter (p3) and the dust parameter (p4) in the first dust detection area (2); and Using the environmental compensation value to convert the linear equation into a range conversion equation, and using the range conversion equation to convert the third current value (v3) into a third suspended particulate matter concentration. [2] Data processing device (100) for a suspended solids concentration according to claim 1, wherein the first dust spray parameter (p1) comprises a time length of the first time series, a cross-sectional area of ​​an exhaust pipe (200) in the first dust detection area (2), an average wind speed in the exhaust pipe (200) in the first dust detection area (2) during the first time series and a dust weight difference in the first dust detection area (2) during the first time series, wherein the second dust spray parameter (p2) comprises a time length of the second time series, the cross-sectional area of ​​the exhaust pipe (200) in the first dust detection area (2), an average wind speed in the exhaust pipe (200) of the first dust detection area (2) during the second time series and the dust weight difference in the first dust detection area (2) during the second time series, wherein the processor (120) is configured in the step of calculating the first particulate matter concentration and the second particulate matter concentration based on the first dust spray parameter (p1) and the second dust spray parameter (p2) respectively to perform the following steps: Performing a concentration calculation to generate the first suspended particulate matter concentration based on the time length of the first time series, the cross-sectional area of ​​the exhaust duct (200), the average wind speed in the exhaust duct (200), and the dust weight difference of the first dust spray parameter (p1); and Performing the concentration calculation to generate the second suspended particulate matter concentration based on the time length of the second time series, the cross-sectional area of ​​the exhaust pipe (200), the average wind speed in the exhaust pipe (200) and the dust weight difference of the second dust spray parameter (p2). [3] Data processing device (100) for a suspended solids concentration according to claim 2, wherein the average wind speed in the exhaust pipe (200) of the first dust detection area (2) during the first time series is an average value of a wind speed, an average mean wind speed or an average wind speed in the upstream and downstream cross-sections detected by one of at least two anemometers (18U-18D) in the exhaust pipe (200) of the first dust detection area (2) during the first time series, wherein the average wind speed in the exhaust pipe (200) of the first dust detection area (2) during the second time series is another average value of a wind speed, an average mean wind speed or an average wind speed in the upstream and downstream cross-sections detected by one of the at least two anemometers (18U-18D) in the exhaust pipe (200) of the first dust detection area (2) during the second time series. [4] Data processing device (100) for a suspended solids concentration according to claim 1, where the linear equation gives a relation between a particulate matter concentration in the first dust detection area (2) and a current generated by the dust; wherein the processor (120) in the step of generating the linear equation based on the first average output current value, the second average output current value, the first suspended particulate matter concentration and the second suspended particulate matter concentration is configured to perform the following steps: Generating a first coordinate on a two-dimensional coordinate system plane based on the first average output current value and the first suspended solids concentration, and generating a second coordinate on the two-dimensional coordinate system plane based on the second average output current value and the second suspended solids concentration; and Generating the linear equation on the two-dimensional coordinate system plane based on the first coordinate and the second coordinate. [5] Data processing device (100) for a suspended solids concentration according to claim 1, wherein the environmental parameter (p3) in the first dust detection area (2) includes at least a wind speed, a temperature, a humidity, a pressure, a shape parameter of the exhaust pipe (200) and a probe insertion depth in the exhaust pipe (200) which are detected in the first dust detection area (2) at a detection time and the dust parameter (p4) in the first dust detection area (2) includes a particle diameter and a dielectric constant of the dust in the first dust detection area (2); wherein the environmental parameter (p3') in the second dust detection area includes at least a wind speed, a temperature, a humidity, a pressure, a shape parameter of another exhaust pipe and a probe insertion depth in the other exhaust pipe, which are detected in the second dust detection area at a further detection time, and the dust parameter (p4') in the second dust detection area includes a particle diameter and a dielectric constant of the dust in the second dust detection area. [6] Data processing device (100) for a suspended solids concentration according to claim 1, wherein the processor (120) is configured to perform the following steps in the step of using the environmental compensation value to convert the linear equation into the area conversion equation: Use the environment compensation value to set several constants in the linear equation to generate the area conversion equation. [7] Data processing method for a suspended particulate matter concentration, comprising the following: Calculating a first average output current value of several first current values ​​(v11-v1n) and a second average output current value of several second current values ​​(v21-v2n) by a processor (120), wherein the several first current values ​​(v11-v1n) are detected from a first dust detection area (2) during a first time series and the several second current values ​​(v21-v2n) are detected from the first dust detection area (2) during the second time series; Calculating a first particulate matter concentration and a second particulate matter concentration based on a first dust spray parameter (p1) and a second dust spray parameter (p2) respectively, which are stored, by the processor (120), wherein the first dust spray parameter (p1) is used to set a dust spray state of the dust in the first dust detection area (2) during the first time series and the second dust spray parameter (p2) is used to set the dust spray state of the dust in the first dust detection area (2) during the second time series; Generating a linear equation based on the first average output current value, the second average output current value, the first particulate matter concentration and the second particulate matter concentration by the processor (120); Receiving an environmental parameter (p3'), a dust parameter (p4') and a third current value (v3) generated by dust in a second dust detection area by a transmitter-receiver circuit (110) by the processor (120) and calculating an environmental compensation value corresponding to the second dust detection area, based on the environmental parameter (p3') and the dust parameter (p4') in the second dust detection area and the environmental parameter (p3) and the dust parameter (p4) in the first dust detection area (2) by the processor (120); and Utilizing the environmental compensation value to convert the linear equation into a range conversion equation, and utilizing the range conversion equation to convert the third current value (v3) into a third suspended particulate matter concentration, by the processor (120). [8] Data processing method for a suspended solids concentration according to claim 7, wherein the first dust spray parameter (p1) comprises a time length of the first time series, a cross-sectional area of ​​an exhaust pipe (200) in the first dust detection area (2), an average wind speed in the exhaust pipe (200) in the first dust detection area (2) during the first time series and a dust weight difference in the first dust detection area (2) during the first time series, wherein the second dust spray parameter (p2) comprises a time length of the second time series, the cross-sectional area of ​​the exhaust pipe (200) in the first dust detection area (2), an average wind speed in the exhaust pipe (200) of the first dust detection area (2) during the second time series and a dust weight difference in the first dust detection area (2) during the second time series, wherein the step of calculating the first suspended particle concentration and the second suspended particle concentration based on the first dust spray parameter (p1) and the second dust spray parameter (p2) respectively comprises the following: Performing a concentration calculation to generate the first suspended particulate matter concentration based on the time length of the first time series, the cross-sectional area of ​​the exhaust duct (200), the average wind speed in the exhaust duct (200), and the dust weight difference of the first dust spray parameter (p1), by the processor (120); and Performing the concentration calculation to generate the second suspended particulate matter concentration based on the time length of the second time series, the cross-sectional area of ​​the exhaust pipe (200), the average wind speed in the exhaust pipe (200) and the dust weight difference of the second dust spray parameter (p2), by the processor (120). [9] Data processing method for a suspended solids concentration according to claim 8, wherein the average wind speed in the exhaust pipe (200) of the first dust detection area (2) during the first time series is an average value of a wind speed, an average mean wind speed or an average wind speed in the upstream and downstream cross-sections detected by one of at least two anemometers (18U-18D) in the exhaust pipe (200) of the first dust detection area (2) during the first time series, wherein the average wind speed in the exhaust pipe (200) of the first dust detection area (2) during the second time series is another average value of a wind speed, an average mean wind speed or an average wind speed in the upstream and downstream cross-sections detected by one of the at least two anemometers (18U-18D) in the exhaust pipe (200) of the first dust detection area (2) during the second time series. [10] Data processing method for a suspended solids concentration according to claim 7, where the linear equation gives a relation between a particulate matter concentration in the first dust detection area (2) and a current generated by the dust; wherein the step of generating the linear equation based on the first average output current value, the second average output current value, the first suspended solids concentration and the second suspended solids concentration comprises the following: Generating a first coordinate on a two-dimensional coordinate system plane based on the first average output current value and the first suspended solids concentration, and generating a second coordinate on the two-dimensional coordinate system plane based on the second average output current value and the second suspended solids concentration by the processor (120); and Generating the linear equation on the two-dimensional coordinate system plane based on the first coordinate and the second coordinate by the processor (120). [11] Data processing method for a suspended solids concentration according to claim 7, wherein the environmental parameter (p3) in the first dust detection area (2) includes at least a wind speed, a temperature, a humidity, a pressure, a shape parameter of the exhaust pipe (200) and a probe insertion depth in the exhaust pipe (200) which are detected in the first dust detection area (2) at a detection time and the dust parameter (p4) in the first dust detection area includes a particle diameter and a dielectric constant of the dust in the first dust detection area; wherein the environmental parameters (p3') in the second dust detection area include at least a wind speed, a temperature, a humidity, a pressure, a shape parameter of another exhaust pipe (200) and a probe insertion depth in the other exhaust pipe (200) which are detected in the second dust detection area at a further detection time, and the dust parameter (p4') in the second dust detection area includes a particle diameter and a dielectric constant of the dust in the second dust detection area. [12] Data processing method for a suspended particulate matter concentration according to claim 7, wherein the step of using the environmental compensation value to convert the linear equation into the area conversion equation comprises: Utilizing the environment compensation value to set multiple constants in the linear equation to generate the range conversion equation, by the processor (120).

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