TWI902274B - Data processing device and method for dust concentration - Google Patents

Abstract

A data processing device for airborne particles concentration is disclosed, which includes a transceiver circuit, a memory, and a processor. The processor executes following steps: calculating a first average output current value of multiple first current values and a second average output current value of multiple second current values; calculating a first airborne particles concentration and a second airborne particles concentration respectively from a first airborne particles spray parameter and a second airborne particles spray parameter; generating a linear equation based on the first average output current value, the second average output current value, the first airborne particles concentration, and the second airborne particles concentration; calculating an environmental compensation value corresponding to the second airborne particles detection field based on an environmental parameter and a airborne particles parameter in the second airborne particles detection field and an environmental parameter and a airborne particles parameter in a first airborne particles detection field; converting the third current value into a third airborne particles concentration based on the linear equation and the environmental compensation value.

Description

Data processing apparatus and method for suspended particle concentration

This disclosure relates to techniques for dust sensing in factory exhaust ducts, and more particularly to a data processing apparatus and method for measuring suspended particle concentrations.

Particulate matter concentration (PMC) refers to the amount of dust in a unit volume of air. For factories or other facilities with stringent PMC emission regulations, especially those discharging into the external environment, environmental regulations are often in place. To verify whether the data meets standards, a specific calibration procedure and relevant measuring equipment must be used to establish the detection uncertainty and dosage accuracy of the equipment installed on the exhaust ducts. Furthermore, a complete testing procedure must be performed in different factory locations to detect PMC concentration and determine whether emissions meet standards. However, current technologies often require lengthy testing periods to detect PMC concentration. Therefore, how to detect the concentration of suspended particles in real time during the emission process of flues in different venues is a problem that technical personnel in this field urgently need to solve.

The main purpose of this disclosure is to provide a data processing device and method for suspended particle concentration, which can achieve the effect of quickly detecting suspended particle concentration in different fields.

To achieve the above objectives, the data processing apparatus for suspended particle concentration disclosed herein includes:

A transceiver circuit is configured to receive multiple first current values from a sensing circuit in a first dust detection field during a first time period, and to receive multiple second current values from the sensing circuit in the first dust detection field during a second time period.

A memory configured to store a first dust emission parameter, a second dust emission parameter, an environmental parameter in the first dust detection field, and a dust parameter, wherein the first dust emission parameter is used to adjust a dust emission state of the dust in the first dust detection field during the first time period, and the second dust emission parameter is used to adjust the dust emission state of the dust in the first dust detection field during the second time period;

A processor, connected to the transceiver circuit and the memory, is configured to perform the following steps:

Calculate a first average output current value of the plurality of first current values and a second average output current value of the plurality of second current values;

A first suspended particle concentration and a second suspended particle concentration are calculated from the first dust spraying parameters and the second dust spraying parameters, respectively.

A linear equation is generated based on the first average output current value, the second average output current value, the first suspended particle concentration, and the second suspended particle concentration;

The transceiver circuit receives an environmental parameter, a dust parameter, and a third current value generated by the dust in a second dust detection field. Based on the environmental parameter and dust parameter in the second dust detection field and the environmental parameter and dust parameter in the first dust detection field, an environmental compensation value corresponding to the second dust detection field is calculated.

The linear equation is transformed into a field transformation equation using the environmental compensation value, and the third current value is transformed into a third suspended particle concentration using the field transformation equation.

To achieve the above objectives, the data processing method for suspended particle concentration disclosed herein includes:

A processor calculates a first average output current value for a plurality of first current values and a second average output current value for a plurality of second current values, wherein the plurality of first current values are received by a transceiver circuit from a sensing circuit in a first dust detection field during a first time period, and the plurality of second current values are received by the transceiver circuit from the sensing circuit in the first dust detection field during a second time period;

The processor calculates a first suspended particle concentration and a second suspended particle concentration from a first dust emission parameter and a second dust emission parameter, respectively. The first dust emission parameter is used to adjust the dust emission state of the dust in the first dust detection field during the first time period, and the second dust emission parameter is used to adjust the dust emission state of the dust in the first dust detection field during the second time period.

The processor generates a linear equation based on the first average output current value, the second average output current value, the first suspended particle concentration, and the second suspended particle concentration.

The processor receives an environmental parameter, a dust parameter, and a third current value generated by the dust in a second dust detection field via the transceiver circuit. Based on the environmental parameter and dust parameter in the second dust detection field, and an environmental parameter and dust parameter in the first dust detection field, it calculates an environmental compensation value corresponding to the second dust detection field.

Using the processor, the linear equation is transformed into a field transformation equation using the environmental compensation value, and the third current value is transformed into a third suspended particle concentration using the field transformation equation.

Compared to related technologies, this disclosure can pre-generate a linear equation for the dust detection field used in the test, and then calculate the environmental compensation value corresponding to the two dust detection fields. Furthermore, this disclosure can generate a field transformation equation based on the linear equation and the environmental compensation value, so that in the dust detection field where formal dust detection is required, the current value can be converted into suspended particle concentration using the field transformation equation. In this way, this disclosure not only overcomes the problem of requiring long-term detection to determine suspended particle concentration, but also achieves the effect of rapid detection of suspended particle concentration in different fields.

Referring to FIG1, FIG1 illustrates a block diagram of a data processing apparatus 100 for suspended particle concentration disclosed in some embodiments. The data processing apparatus 100 for suspended particle concentration in FIG1 can be implemented by any electronic device or server for data processing. For example, the data processing apparatus 100 for suspended particle concentration can be a terminal processing device (i.e., a mobile phone, desktop computer, or tablet computer, etc.), a cloud device, a server, or a cloud server, etc. As shown in FIG1, the data processing apparatus 100 for suspended particle concentration includes a transceiver circuit 110, a processor 120, and a memory 130. The processor 120 is coupled to the transceiver circuit 110 and the memory 130.

In this embodiment, the transceiver circuit 110 receives multiple first current values v11~v1n from the sensing circuit 14 in the first dust detection field during a first time period, and receives multiple second current values v21~v2n from the sensing circuit 14 in the first dust detection field during a second time period, where n can be any positive integer without any particular restriction. In some embodiments, the first time period is different from the second time period. In some embodiments, the first time period is one of the time periods after dust spraying begins in the first dust detection field, and the second time period is another of the time periods after dust spraying begins in the first dust detection field. In some embodiments, the second time period is the time period following the first time period (e.g., the first time period is 0 to 1500 seconds after the start of dust spraying, while the second time period is 1501 to 3000 seconds after the start of dust spraying).

In some embodiments, the sensing circuit 14 can be any circuit used to detect current. In some embodiments, the sensing circuit 14 is connected to a probe in the flue pipe of the first dust detection area and is used to sense the current generated when dust in the flue pipe strikes the probe (i.e., the current generated after dust spraying begins). In some embodiments, the first dust detection area can be any laboratory, test room, or test plant (i.e., the testing area) having a flue pipe for dust testing. In some embodiments, the multiple first current values v11~v1n are multiple currents detected by the sensing circuit 14 at multiple first sampling times in a first time period (e.g., a first sampling time exists every second in the first time period). In some embodiments, the multiple second current values v21~v2n are multiple currents detected by the sensing circuit 14 at multiple second sampling times within a second time period (e.g., a second sampling time exists every second within the second time period). In some embodiments, the transceiver circuit 110 may be 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 circuit, a transmission line, a power amplifier, one or more antenna circuits, and a local storage media element.

The following is a practical example illustrating the first dust detection field. Referring also to Figure 2, which illustrates a schematic diagram of the first dust detection field 2 in some embodiments of the present invention, the first dust detection field 2 has a flue 200. The flue 200 blows air from point T1 to point T2 at a specific wind speed (e.g., but not limited to, 3 meters per second, 40 meters per second), meaning that dust particles D in the air are also blown from point T1 to point T2.

The first dust detection area 2 further includes a probe 12 and a sensing circuit 14. The probe 12 is inserted into the flue 200 from one side. The insertion depth D1 of the probe 12 into the flue 200 is preferably 1/3 to 2/3 of the cross-sectional diameter of the flue (e.g., the diameter R in Figure 3A below). When dust particles D (charged or uncharged particles) come into contact with, collide with, or rub against the probe 12, an electric current may be generated on the probe 12. The sensing circuit 14 can then filter, amplify, and perform other processes on the sensed current so that the transceiver circuit 110 receives the current.

In some embodiments, the first dust detection area 2 further includes a weighing circuit 16, an anemometer 18U, an anemometer 18D, a hygrometer 20, a thermometer 22, and a pressure gauge 24. The weighing circuit 16 is disposed in a container (not shown) storing the dust D to be ejected. The anemometer 18U, anemometer 18D, hygrometer 20, thermometer 22, and pressure gauge 24 are disposed in the flue gas duct 200. The weighing circuit 16 is used to detect the total weight of the dust D to be ejected. The anemometers 18U and 18D are used to detect a specific wind speed in the flue gas duct 200. The thermometer 22 is used to detect the temperature in the flue gas duct 200. Pressure gauge 24 is used to detect the pressure in the flue duct 200. In some embodiments, the weighing circuit 16 can be any type of electronic balance. In some embodiments, anemometers 18U and 18D can be any type of hot-wire or differential pressure anemometer. In some embodiments, humidometer 20 can be any type of pointer or electronic humidometer. In some embodiments, thermometer 22 can be any type of electronic thermometer. In some embodiments, pressure gauge 24 can be any type of pointer or electronic pressure gauge.

In some embodiments, the first dust detection area 2 further includes an outlet 26 and an exhaust fan 28. The outlet 26 is used to deliver dust D into the flue duct 200. An anemometer 18D is disposed adjacent to the outlet 26. The exhaust fan 28 is used to generate a specific air velocity in the flue duct 200 to blow dust D in the air from point T1 to point T2. The anemometer 18D is disposed adjacent to the exhaust fan 28. In some embodiments, the exhaust fan 28 can be any type of exhaust fan (e.g., a blower). It is worth noting that the location adjacent to the outlet 26 can be referred to as upstream, and the location adjacent to the exhaust fan 28 can be referred to as downstream.

Returning to Figure 1, in this embodiment, memory 130 stores a first dust ejection parameter p1, a second dust ejection parameter p2, an environmental parameter p3 in the first dust detection field, and a dust parameter p4 in the first dust detection field. The first dust ejection parameter p1 is used to adjust the dust ejection state in the first dust detection field during a first time period, and the second dust ejection parameter p2 is used to adjust the dust ejection state in the first dust detection field during a second time period. In some embodiments, memory 130 may be implemented using flash memory, read-only memory, a hard disk, or any equivalent storage component.

In some embodiments, the first dust parameter p1 includes the duration of a first time period (i.e., the time difference between the start and end times of the first time period), the cross-sectional area of the exhaust duct of the first dust detection area, the average wind speed in the exhaust duct of the first dust detection area during the first time period, and the dust weight difference in the first dust detection area during the first time period. In some embodiments, the aforementioned average wind speed may be the average value of a single anemometer (e.g., anemometer 18U or anemometer 18D) over a certain time period.

In other embodiments, the average wind speed can be the average of (i.e., the sampled) wind speed detected by the upstream anemometer 18U at the geometric center point of a cross-section of the flue duct 200 during one time period and the wind speed detected by the downstream anemometer 18D at the geometric center point of another cross-section of the flue duct 200 during the same time period (i.e., the center-value average wind speed), where the anemometer 18U is located at this cross-section (i.e., the upstream cross-section) and the anemometer 18D is located at the other cross-section (i.e., the downstream cross-section). It is worth noting that this average value can be called the center-value average wind speed.

In other embodiments, the average wind speed can be the average of the wind speed detected by an upstream anemometer 18U at any point on a cross-section of the flue gas duct 200 (e.g., any point on the same cross-section as the geometric center of the cross-section) during a certain time period and the wind speed detected by a downstream anemometer 18D at any point on another cross-section of the flue gas duct 200 (e.g., any point on the same cross-section as the geometric center of another cross-section) during a certain time period. It is worth noting that the average wind speed sampled at the same time period on the upstream and downstream cross-sections of the above-mentioned cross-sections, after evaluation of measurement uncertainty, can be referred to as the upstream-downstream cross-section average wind speed.

Since the average wind speed, center-value average wind speed, or upstream and downstream cross-section average wind speed detected by a single anemometer in a certain time period is used to evaluate the flow stability of the wind field in the flue 200, the measurement uncertainty of the obtained average wind speed will have different estimation biases, which will affect the final calculation of suspended particulate concentration.

In some embodiments, the second dust emission parameter p2 includes the duration of the second time period (i.e., the time difference between the start and end times of the second time period), the cross-sectional area of the exhaust duct of the first dust detection area, the average wind speed in the exhaust duct of the first dust detection area during the second time period (the average wind speed detected by a single anemometer during one time period, the center-value average wind speed, and/or the upstream and downstream cross-sectional average wind speed), and the dust weight difference in the first dust detection area during the second time period.

In some embodiments, the environmental parameter p3 includes wind speed, temperature, humidity, pressure, flue shape parameters, and probe insertion depth detected in the exhaust duct of the first dust detection area at a detection time (e.g., 5000 seconds after the start of detection). In some embodiments, the flue shape parameters include the pre-measured (e.g., pre-measured by the user) diameter of the cross-section of a circular flue in the first dust detection area, or the width and length of the cross-section of a rectangular flue. In some embodiments, the probe insertion depth is the pre-measured (e.g., also pre-measured by the user) vertical depth to which the sensor probe is inserted into the exhaust duct in the first dust detection area.

In some embodiments, the dust parameter p4 in the first dust detection field includes the dust particle size and the dielectric constant of the dust in the first dust detection field. In some embodiments, the dust particle size and the dielectric constant of the dust in the first dust detection field are pre-measured for the dust quantity. It is worth noting that the methods for measuring the dust particle size and the dielectric constant of the dust are commonly used by those skilled in the art and will not be described in further detail here.

In some embodiments, the dust emission status indicator in the first dust detection area during the first time period indicates that dust of the same weight difference as the dust weight difference in the second time period was emitted from the flue during the first time period. In some embodiments, the dust emission status indicator in the first dust detection area during the second time period indicates that dust of the same weight difference as the dust weight difference in the second time period was emitted from the flue during the second time period.

The following, with reference to Figure 2, further illustrates the average wind speed and total dust weight using a practical example. As shown in Figure 2, the exhaust fan 28 can be adjusted to rotate at a specific speed during the first time period. At the beginning of the first time period, the weighing circuit 16 detects the total weight of the dust D to be sprayed as the total dust weight at the beginning of the first time period. At the end of the first time period, the weighing circuit 16 detects the total weight of the dust D to be sprayed as the total dust weight at the end of the first time period. Thus, the total dust weight at the beginning and end of the first time period can be pre-transmitted to the processor 120 via the transceiver circuit 110. Processor 120 calculates the dust weight difference between the total dust weight at the start time of the first time segment and the total dust weight at the end time of the first time segment (i.e., the dust weight difference in the first time segment) and stores it in memory 130. During multiple first sampling times in the first time segment, anemometers 18U and 18D detect multiple first wind speeds from the flue duct 200 and transmit them in advance to processor 120 via transceiver circuit 110. Based on the number of multiple first sampling times, processor 120 can calculate the average wind speed of the multiple first wind speeds as the average wind speed in the flue duct 200 during the first time segment (i.e., the average wind speed, center value average wind speed, and/or upstream and downstream cross-sectional average wind speed detected by a single anemometer in one time segment as described in the above paragraph).

Furthermore, the exhaust fan 28 can be adjusted to rotate at a different specific speed during the second time period. At the beginning of the second time period, the weighing circuit 16 detects the total weight of the dust D to be sprayed as the total dust weight at the beginning of the second time period. At the end of the second time period, the weighing circuit 16 detects the total weight of the dust D to be sprayed as the total dust weight at the end of the second time period. In this way, the total dust weight at the beginning and the total dust weight at the end of the second time period can be pre-transmitted to the processor 120 via the transceiver circuit 110. Processor 120 calculates the dust weight difference between the total dust weight at the start time of the second time segment and the total dust weight at the end time of the second time segment (i.e., the dust weight difference within the second time segment) and stores it in memory 130. During multiple second sampling times within the second time segment, anemometers 18U and 18D detect multiple second wind speeds from the exhaust duct 200 and transmit them in advance to processor 120 via transceiver circuit 110. The processor 120 calculates the average wind speed of multiple second wind speeds based on the number of multiple second sampling times as the average wind speed in the exhaust duct 200 during the second time period (i.e., the average wind speed, center value average wind speed and/or upstream and downstream cross-sectional average wind speed detected by a single anemometer in one time period as described in the above paragraph), and stores it in memory 130.

The following, with reference to Figure 2, further illustrates, using a practical example, the wind speed, temperature, humidity, and pressure detected in the exhaust duct 200 in the first dust detection area 2 during a detection period. As shown in Figure 2, during a detection period, anemometers 18U and 18D can detect the wind speed in the exhaust duct 200 and transmit it to memory 130 via transceiver circuit 110. Hygrometer 20 can detect the humidity in the exhaust duct 200 and transmit it to memory 130 via transceiver circuit 110. Pressure gauge 24 can detect the pressure in the exhaust duct 200 and transmit it to memory 130 via transceiver circuit 110.

The cross-sectional area of a flue gas duct is illustrated below with practical examples. Referring also to Figure 3A, Figure 3A shows a schematic diagram of the cross-section SC of a flue gas duct 200 disclosed in some embodiments. As shown in Figure 3A, the cross-section SC of the flue gas duct 200 can be a circle with a diameter R, and the area of this circle is the aforementioned cross-sectional area. Referring also to Figure 3B, Figure 3B shows a schematic diagram of the cross-section SC of a flue gas duct 200 disclosed in other embodiments. As shown in Figure 3B, the cross-section SC of the flue gas duct 200 can be a rectangle with a long side L and a wide side W, and the area of this rectangle is the aforementioned cross-sectional area.

In some embodiments, processor 120 may access the first dust spray parameter p1 and the second dust spray parameter p2 in memory 130 to execute steps in subsequent segments. In some embodiments, processor 120 may be implemented by a central processing unit (CPU), microcontroller unit (MCU), programmable logic controller (PLC), system on chip (SoC), or field programmable gate array (FPGA), but is not limited thereto.

Referring also to Figure 4, which illustrates a flowchart of a data processing method for suspended particle concentration disclosed in some embodiments, applicable to the data processing apparatus 100 shown in Figure 1.

As shown in Figure 4, firstly, in step S410, the processor 120 calculates a first average output current value of a plurality of first current values v11~v1n and a second average output current value of a plurality of second current values v21~v2n. In some embodiments, the processor 120 calculates a first time interval between a plurality of first sampling times (i.e., there is a first time interval between every two adjacent first sampling times), and performs an average calculation based on the first time interval, the plurality of first current values v11~v1n, and the number of the plurality of first current values v11~v1n to generate a first average output current value of a plurality of first current values v11~v1n. In some embodiments, processor 120 calculates a second time interval between multiple second sampling times (i.e., there is a second time interval between every two adjacent second sampling times), and performs an average calculation based on the second time interval, multiple second current values v21~v2n, and the number of multiple second current values v21~v2n to generate a second average output current value of multiple second current values v21~v2n. In some embodiments, the averaging calculation is as shown in the following formula (1): …(1)

in The average output current value (i.e., the first average output current value or the second average output current value mentioned above), The current value (i.e., the first current value or the second current value mentioned above), n is the time interval (i.e., the first time interval or the second time interval mentioned above), and n is the number of current values (i.e., the number of the multiple first current values v11 to v1n or the number of multiple second current values v21 to v2n mentioned above).

In step S420, processor 120 calculates a first suspended particle concentration and a second suspended particle concentration based on a first dust spray parameter p1 and a second dust spray parameter p2, respectively. In some embodiments, processor 120 calculates the concentration based on the duration of a first time period in the first dust spray parameter p1, the cross-sectional area of the flue, the average wind speed in the flue (i.e., the average wind speed detected by a single anemometer in one time period, the center-value average wind speed, and/or the upstream and downstream cross-sectional average wind speed as described in the preceding paragraph), and the dust weight difference to generate a first suspended particle concentration (e.g., 50 mg/ ^m³ ). In some embodiments, the processor 120 calculates the concentration (e.g., 150 mg/m³) based on the duration of the second time segment in the second dust emission parameter p2, the cross-sectional area of the flue, the average wind speed in the flue, and the dust weight ^difference . In some embodiments, the concentration calculation is as shown in the following formula (2): … (2)

in This refers to the concentration of suspended particles (i.e., the first or second concentration of suspended particles). This refers to the dust weight difference (i.e., the dust weight difference in the first time period or the dust weight difference in the second time period). The cross-sectional area of the flue gas duct, and The average wind speed (i.e., the average wind speed detected by a single anemometer in the above paragraph during a certain time period, the center-value average wind speed, and/or the upstream and downstream cross-section average wind speed).

In step S430, processor 120 generates a linear equation based on a first average output current value, a second average output current value, a first suspended particle concentration, and a second suspended particle concentration. In some embodiments, the linear equation indicates the relationship between the suspended particle concentration in the first dust detection field and the current value generated by the dust. In some embodiments, processor 120 generates a first coordinate on a two-dimensional coordinate plane based on the first average output current value and the first suspended particle concentration, and then generates a second coordinate on a two-dimensional coordinate plane based on the second average output current value and the second suspended particle concentration. Next, processor 120 generates a linear equation on the two-dimensional coordinate plane based on the first and second coordinates. In some embodiments, the processor 120 uses the first average output current value as the horizontal coordinate of the first coordinate and the first suspended particle concentration as the vertical coordinate of the first coordinate. In some embodiments, the processor 120 uses the second average output current value as the horizontal coordinate of the second coordinate and the second suspended particle concentration as the vertical coordinate of the second coordinate. In some embodiments, the linear equation is as shown in the following formula (3): …(3)

in Represents the concentration of suspended particles in the first dust detection area. The current value represents the first dust detection area. , The first average output current value, This represents the concentration of the first suspended particles. The second average output current value, The concentration of the second suspended particles, and or .

It is worth noting that the above description only uses the sampling of current values at two time intervals as an example. However, in other embodiments disclosed herein, current values can be sampled at more time intervals to calculate more coordinates. This can further improve the accuracy of the linear equation in converting current to suspended particle concentration.

In step S440, the processor 120 receives the environmental parameter p3’, dust parameter p4’, and the third current value v3 generated by the dust in the second dust detection field via the transceiver circuit 110, and calculates the environmental compensation value corresponding to the two dust detection fields based on the environmental parameter p3’ and dust parameter p4’ in the second dust detection field and the environmental parameter p3 and dust parameter p4 in the first dust detection field.

In some embodiments, the second dust detection area can be any factory or machine room producing products (i.e., any area where formal dust detection is required). It is worth noting that the setup of the second dust detection area is basically the same as that of the first dust detection area (i.e., similar to Figure 2), the difference being that the exhaust duct of the second dust detection area is directly installed at the exhaust outlet of the factory or machine room (i.e., it does not have a weighing circuit 16, and cannot directly detect and control the amount of dust emitted through the weighing circuit 16), and does not have a controllable dust outlet like the first dust detection area (i.e., outlet 26 in Figure 2). In some embodiments, the third current value v3 is the current value generated by dust detected in the exhaust duct of the second dust detection area at another detection time (e.g., 6000 seconds after the start of detection).

In some embodiments, the environmental parameters p3' in the second dust detection area also include the wind speed, temperature, humidity, pressure, flue shape parameters, and probe insertion depth detected in the flue in the second dust detection area at another detection time. In some embodiments, the flue shape parameters include the pre-measured (e.g., pre-measured by the user) diameter of the cross-section of the flue in the second dust detection area, or the wide and long sides of the cross-section of the flue. In some embodiments, the probe insertion depth is the pre-measured (e.g., also pre-measured by the user) vertical depth to which the sensor probe is inserted into the flue in the second dust detection area.

In some embodiments, the dust parameter p4' in the second dust detection field also includes the dust particle size and dielectric constant of the dust in the second dust detection field. It is worth noting that the generation methods of environmental parameter p3' and dust parameter p4' are essentially the same as those of environmental parameter p3 and dust parameter p4. The difference between environmental parameter p3' and dust parameter p4' and environmental parameter p3 and dust parameter p4 is that environmental parameter p3' and dust parameter p4' are detected in the second dust detection field, while environmental parameter p3 and dust parameter p4 are detected in the first dust detection field. Furthermore, the data in environmental parameter p3’ and dust parameter p4’ are transmitted to processor 120 via transceiver circuit 110 after they are generated. Therefore, the other identical parts will not be described in detail here.

In some implementations, the environmental compensation value is shown in the following formula (4): …(4)

in The environmental compensation value for the circular flue gas exhaust duct. This is the cross-sectional area of the exhaust duct in the first dust detection area (i.e., calculated from the diameter included in the shape parameters of the exhaust duct in the first dust detection area). The cross-sectional area of the exhaust duct in the second dust detection area (i.e., calculated from the diameter included in the shape parameters of the exhaust duct in the second dust detection area). The probe insertion depth in the flue gas duct of the first dust detection area. The probe insertion depth in the flue gas duct of the second dust detection area. The diameter of the flue gas duct of the circular pipe in the first dust detection area, and The diameter of the flue gas exhaust duct of the circular pipe in the first dust detection area.

Furthermore, The average wind speed detected in the flue gas duct in the first dust detection area over a detection period is given. The average wind speed is the wind speed detected in the exhaust duct at a second dust detection area at another detection time. It is worth noting that the average wind speed is also the average value, center-value average wind speed, or upstream/downstream cross-section average wind speed of a single anemometer over a given time period, as described in the preceding paragraphs. Similarly, since the average wind speed, center-value average wind speed, or upstream/downstream cross-section average wind speed detected by a single anemometer over a given time period assesses the flow stability of the wind field in the exhaust duct, the measurement uncertainty of the obtained average wind speed will have different estimation biases. In other words, the environmental compensation value K _{_n} will affect the final calculation of suspended particulate concentration due to the method used to calculate the average wind speed.

Furthermore, The pressure detected in the flue gas duct at a given time in the first dust detection area. The pressure detected in the exhaust duct at another detection time in the second dust detection area. Let be the dielectric constant of the dust in the first dust detection field. Let be the dielectric constant of the dust in the second dust detection field. The temperature detected in the flue gas duct at a given time in the first dust detection area. The temperature in the flue gas duct detected in the second dust detection area at another detection time. The particle size of the dust in the first dust detection area. The particle size in the second dust detection area. The humidity in the exhaust duct detected in the first dust detection area at a detection time, and The humidity in the exhaust duct detected in the second dust detection field at another detection time.

In other embodiments, the environmental compensation value is shown in the following formula (5): …(5)

in The environmental compensation value for the smoke exhaust duct of the rectangular pipe. This is the cross-sectional area of the exhaust duct in the first dust detection area (i.e., calculated from the diameter included in the shape parameters of the exhaust duct in the first dust detection area). This is the cross-sectional area of the exhaust duct in the second dust detection area (i.e., calculated from the wide and long sides included in the shape parameters of the exhaust duct in the second dust detection area). The probe insertion depth in the flue gas duct of the first dust detection area. The probe insertion depth in the flue gas duct of the second dust detection area. as well as The width and length of the cross-section of the rectangular flue gas duct in the first dust detection area, and The diameter of the flue gas exhaust duct of the circular pipe in the first dust detection area.

Furthermore, The average wind speed detected in the flue gas duct in the first dust detection area over a detection period is given. The average wind speed is the wind speed detected in the flue gas duct at a second dust detection area at another detection time. It is worth noting that the average wind speed is also the average value, center-value average wind speed, or upstream/downstream cross-section average wind speed of a single anemometer over a given time period, as described in the preceding paragraphs. Similarly, since the average wind speed, center-value average wind speed, or upstream/downstream cross-section average wind speed detected by a single anemometer over a given time period assesses the flow stability of the wind field in the flue gas duct, the measurement uncertainty of the obtained average wind speed will have different estimation biases. That is, the environmental compensation value K_{_n} will affect the final calculation of suspended particulate concentration due to the method used to calculate the average wind speed.

Furthermore, The pressure detected in the flue gas duct at a given time in the first dust detection area. The pressure detected in the exhaust duct at another detection time in the second dust detection area. Let be the dielectric constant of the dust in the first dust detection field. Let be the dielectric constant of the dust in the second dust detection field. The temperature detected in the flue gas duct at a given time in the first dust detection area. The temperature in the flue gas duct detected in the second dust detection area at another detection time. The particle size of the dust in the first dust detection area. The particle size in the second dust detection area. The humidity in the exhaust duct detected in the first dust detection area at a detection time, and The humidity in the exhaust duct detected in the second dust detection field at another detection time.

In step S450, processor 120 uses environmental compensation values to transform the linear equation into a field transformation equation, and uses the field transformation equation to transform the third current value v3 into the third suspended particle concentration. In some embodiments, processor 120 uses environmental compensation values to adjust multiple constants of the linear equation to generate the field transformation equation. In some embodiments, processor 120 uses environmental compensation values to multiply multiple constants of the linear equation to generate the field transformation equation. In some embodiments, the field transformation equation is shown in the following formula (6): …(6)

in Represents the concentration of suspended particles in the second dust detection field. The current value represents the second dust detection area. as well as Same as in formula (3) above as well as ,as well as Same as in formula (4) or formula (5) above. For example, processor 120 can substitute the third current value v3 into formula (6). To calculate As the third suspended particle concentration. In other words, the processor 120 can calculate the corresponding suspended particle concentration in the exhaust duct of the second dust detection field by simply substituting the current value generated by dust detected in the exhaust duct of the second dust detection field at any detection time into formula (6).

In some embodiments, the data processing device 100 may further include a display interface (not shown), which may be any electronic display (e.g., an LCD screen). In some embodiments, when a third suspended particle concentration is generated, the processor 120 may display the generated third suspended particle concentration on the display interface to inform the user of the current suspended particle concentration in the second dust detection area.

Through the above steps, the data processing device 100 for suspended particle concentration disclosed herein can generate a linear equation in advance for the first dust detection field used for testing, and then calculate the environmental compensation value of the second dust detection field relative to the first dust detection field. Therefore, the data processing device 100 for suspended particle concentration disclosed herein can directly generate a field transformation equation from the linear equation and the environmental compensation value, and use the field transformation equation to convert the current value detected in the exhaust duct of the second dust detection field into suspended particle concentration. This approach will eliminate the need to spend additional resources and time testing a second dust detection field to generate a new linear equation for converting current values into suspended particle concentrations.

In summary, the data processing apparatus and method for suspended particle concentration disclosed herein can pre-detect current values and suspended particle concentrations at different time periods in the test area, and generate an equation showing a linear relationship between the current value and the suspended particle concentration based on the detected current values and suspended particle concentrations at different time periods. Furthermore, the data processing apparatus and method for suspended particle concentration disclosed herein calculate a compensation value based on the environmental parameters and dust parameters obtained in the test area and the area where formal dust detection is required, respectively, to adjust the aforementioned equation. Therefore, the data processing device and method for suspended particle concentration disclosed herein converts the detected current value into suspended particle concentration using an adjusted equation in areas where formal dust detection is required. Thus, this disclosure not only overcomes the previous problem of requiring long detection times to determine suspended particle concentration, but also achieves the effect of rapid detection of suspended particle concentration in different environments.

The above description is merely a preferred embodiment of this disclosure and does not limit the scope of the patent. Therefore, all equivalent changes made using the content of this disclosure are similarly included within the scope of this disclosure and are hereby stated.

100: Data Processing Device 110: Transceiver Circuit 120: Processor 130: Memory v11~v1n: First Current Value v21~v2n: Second Current Value v3: Third Current Value p1: First Dust Parameter p2: Second Dust Parameter p3: Environmental Parameters in the First Dust Detection Area p4: Dust Parameters in the First Dust Detection Area p3’: Environmental Parameters in the Second Dust Detection Area p4’: Dust Parameters in the Second Dust Detection Area 14: Sensing Circuit 200: Exhaust Duct D: Dust T1~T2: Point D1: Insertion Depth 12: Probe 16: Weighing Circuit 18U: Anemometer 18D: Anemometer 20: Hygrometer 22: Thermometer 24: Pressure Gauge 26: Outlet 28: Exhaust Fan SC: Cross-section R: Diameter L: Long Side W: Wide Side S410~450: Steps

Figure 1 is a block diagram illustrating a data processing apparatus for suspended particle concentration in some embodiments.

Figure 2 is a schematic diagram illustrating the first dust detection field in some embodiments.

Figure 3A is a schematic diagram illustrating a cross-section of a flue in some embodiments.

Figure 3B is a schematic diagram illustrating a cross-section of a flue in some other embodiments.

Figure 4 illustrates a flowchart of a data processing method for suspended particle concentration in some embodiments.

100: Data processing device

110: Transceiver circuit

120: Processor

130: Memory

v11~v1n: First current value

v21~v2n: Second current values

v3: Third current value

p1: First dust spray parameters

p2: Second dust spray parameters

p3: Environmental parameters in the first dust detection area

p4: Dust parameters in the first dust detection area

p3’: Environmental parameters in the second dust detection area

p4’: Dust parameters in the second dust detection field

14: Sensing Circuit

Claims (10)

A data processing apparatus for suspended particle concentration includes: a transceiver circuit configured to receive multiple first current values from a sensing circuit in a first dust detection field during a first time period, and to receive multiple second current values from the sensing circuit in the first dust detection field during a second time period; A memory configured to store a first dust emission parameter, a second dust emission parameter, an environmental parameter in the first dust detection area, and a dust parameter, wherein the first dust emission parameter is used to adjust a dust emission state in the first dust detection area during a first time period, and the second dust emission parameter is used to adjust the dust emission state in the first dust detection area during a second time period; A processor connected to the transceiver circuit and the memory, and configured to perform the following steps: Calculating a first average output current value of the plurality of first current values and a second average output current value of the plurality of second current values; A first suspended particle concentration and a second suspended particle concentration are calculated based on the first dust spraying parameters and the second dust spraying parameters, respectively. A linear equation is generated based on the first average output current value, the second average output current value, the first suspended particle concentration, and the second suspended particle concentration, wherein the linear equation is: Y = aX + b, where Y is a suspended particle concentration in the first dust detection field, X is a current value in the first dust detection field, a = (Y2 - Y1) / (X2 - X1), b = Y1-aX1 or Y2-aX2, where X1 is the first average output current value, X2 is the second average output current value, Y1 is the first suspended particle concentration, and Y2 is the second suspended particle concentration; The transceiver circuit receives an environmental parameter, a dust parameter, and a third current value generated by the dust in a second dust detection field. Based on a first ratio of the environmental parameter in the second dust detection field to the environmental parameter in the first dust detection field, and a second ratio of the dust parameter in the second dust detection field to the dust parameter in the first dust detection field, an environmental compensation value corresponding to the second dust detection field is calculated; and The environmental compensation value is used to adjust several constants in the linear equation to generate a field transformation equation, which is then used to convert the third current value into a third suspended particle concentration. The data processing apparatus for suspended particle concentration as described in claim 1, wherein the first dust emission parameters include a time duration of the first time period, a cross-sectional area of a flue in the first dust detection area, an average wind speed in the flue in the first dust detection area during the first time period, and a dust weight difference in the first dust detection area during the first time period; the second dust emission parameters include a time duration of the second time period, the cross-sectional area of the flue in the first dust detection area, an average wind speed in the flue in the first dust detection area during the second time period, and a dust weight difference in the first dust detection area during the second time period. In the step of calculating the first suspended particle concentration and the second suspended particle concentration based on the first dust emission parameters and the second dust emission parameters, the processor is configured to perform the following steps: Calculating the concentration based on the duration of the first time period, the cross-sectional area of the flue, the average wind speed in the flue, and the dust weight difference in the first dust emission parameters to generate the first suspended particle concentration; and Calculating the concentration based on the duration of the second time period, the cross-sectional area of the flue, the average wind speed in the flue, and the dust weight difference in the second dust emission parameters to generate the second suspended particle concentration. The data processing apparatus for suspended particle concentration as described in claim 2, wherein the average wind speed in the exhaust duct of the first dust detection area during the first time period is an average value, a center value average wind speed, or an upstream and downstream cross-sectional average wind speed detected by one of at least two anemometers in the exhaust duct of the first dust detection area during the first time period; and the average wind speed in the exhaust duct of the first dust detection area during the second time period is an average value, a center value average wind speed, and/or an upstream and downstream cross-sectional average wind speed detected by at least two anemometers in the exhaust duct of the first dust detection area during the first time period. The data processing apparatus for suspended particle concentration as described in claim 1, wherein the linear equation indicates the relationship between the suspended particle concentration and a current generated by the dust in the first dust detection field, wherein 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 particle concentration, and the second suspended particle concentration, the processor is configured to perform the following steps: Generating a first coordinate on a two-dimensional coordinate plane based on the first average output current value and the first suspended particle concentration, and generating a second coordinate on the two-dimensional coordinate plane based on the second average output current value and the second suspended particle concentration; and The linear equation on the plane of the two-dimensional coordinate system is generated based on the first and second coordinates. The data processing apparatus for suspended particle concentration as described in claim 1, wherein the environmental parameters in the first dust detection field include at least one wind speed, one temperature, one humidity, one pressure, one flue shape parameter, and one probe insertion depth detected in a flue in the first dust detection field at a detection time, and the dust parameters in the first dust detection field include a dust particle size and a dielectric constant of the dust in the first dust detection field; The environmental parameters in the second dust detection area include at least one wind speed, one temperature, one humidity, one pressure, one flue shape parameter, and one probe insertion depth detected in a flue in the second dust detection area at another detection time; and the dust parameters in the second dust detection area include a dust particle size and a dielectric constant of the dust in the second dust detection area. A data processing method for suspended particle concentration includes: Calculating, using a processor, a first average output current value of a plurality of first current values and a second average output current value of a plurality of second current values, wherein the plurality of first current values are detected from a first dust detection field during a first time period, and the plurality of second current values are detected from the first dust detection field during a second time period; The processor calculates a first suspended particle concentration and a second suspended particle concentration based on stored first and second dust emission parameters. The first dust emission parameter is used to adjust the dust emission state in the first dust detection field during the first time period, and the second dust emission parameter is used to adjust the dust emission state in the first dust detection field during the second time period. The processor generates a linear equation based on the first average output current value, the second average output current value, the first suspended particle concentration, and the second suspended particle concentration. The linear equation is: Y = aX + b, where Y is the concentration of suspended particles in the first dust detection field, X is the current value in the first dust detection field, a = (Y2 - Y1) / (X2 - X1), b = Y1 - aX1 or Y2 - aX2, X1 is the first average output current value, X2 is the second average output current value, Y1 is the first suspended particle concentration, and Y2 is the second suspended particle concentration; The processor receives an environmental parameter, a dust parameter, and a third current value generated by the dust in a second dust detection field. Based on a first ratio of the environmental parameter in the second dust detection field to an environmental parameter in the first dust detection field, and a second ratio of the environmental parameter in the second dust detection field to the dust parameter in the first dust detection field, the processor calculates an environmental compensation value corresponding to the second dust detection field. The processor adjusts multiple constants of the linear equation using the environmental compensation value to generate a field transformation equation, and uses the field transformation equation to convert the third current value into a third suspended particle concentration. The data processing method for suspended particle concentration as described in claim 6, wherein the first dust emission parameters include a time duration of the first time period, a cross-sectional area of a flue in the first dust detection area, an average wind speed in the flue in the first dust detection area during the first time period, and a dust weight difference in the first dust detection area during the first time period; wherein the second dust emission parameters include a time duration of the second time period, the cross-sectional area of the flue in the first dust detection area, an average wind speed in the flue in the first dust detection area during the second time period, and a dust weight difference in the first dust detection area during the second time period. The steps of calculating the first and second suspended particle concentrations based on the stored first and second dust emission parameters include: Using the processor, calculating the concentration based on the duration of the first time period, the cross-sectional area of the flue, the average wind speed in the flue, and the dust weight difference in the first dust emission parameters to generate the first suspended particle concentration; and Using the processor, calculating the concentration based on the duration of the second time period, the cross-sectional area of the flue, the average wind speed in the flue, and the dust weight difference in the second dust emission parameters to generate the second suspended particle concentration. The data processing method for suspended particle concentration as described in claim 7, wherein the average wind speed in the exhaust duct of the first dust detection field during the first time period is an average value, a center value average wind speed, or an upstream and downstream cross-sectional average wind speed detected by one of at least two anemometers in the exhaust duct of the first dust detection field during the first time period; and the average wind speed in the exhaust duct of the first dust detection field during the second time period is an average value, a center value average wind speed, and/or an upstream and downstream cross-sectional average wind speed detected by at least two anemometers in the exhaust duct of the first dust detection field during the first time period. The data processing method for suspended particle concentration as described in claim 6, wherein the linear equation indicates the relationship between the suspended particle concentration and a current generated by the dust in the first dust detection field, 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 particle concentration, and the second suspended particle concentration includes: generating a first coordinate on a two-dimensional coordinate plane based on the first average output current value and the first suspended particle concentration using the processor, and generating a second coordinate on the two-dimensional coordinate plane based on the second average output current value and the second suspended particle concentration; and The processor generates the linear equation on the plane of the two-dimensional coordinate system based on the first and second coordinates. The data processing method for suspended particle concentration as described in claim 6, wherein the environmental parameters in the first dust detection field include at least one wind speed, one temperature, one humidity, one pressure, one flue shape parameter, and one probe insertion depth detected in a flue in the first dust detection field at a detection time, and the dust parameters in the first dust detection field include a dust particle size and a dielectric constant of the dust in the first dust detection field. The environmental parameters in the second dust detection area include at least one wind speed, one temperature, one humidity, one pressure, one flue shape parameter, and one probe insertion depth detected in a flue in the second dust detection area at another detection time; and the dust parameters in the second dust detection area include a dust particle size and a dielectric constant of the dust in the second dust detection area.