Method, device and program product for monitoring the operating condition of a dedusting system

Abstract

The application discloses a method, device and program product for monitoring the operation state of a dust removal system, comprising: acquiring a first current negative pressure value of an air inlet side of a filtering device in the dust removal system and a second current negative pressure value of an air outlet side; compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value; calibrating the first current compensated negative pressure value and the second current compensated negative pressure value respectively by using a calibration coefficient to obtain a first calibrated negative pressure value and a second calibrated negative pressure value; determining a pressure difference value between the first calibrated negative pressure value and the second calibrated negative pressure value by using the first calibrated negative pressure value and the second calibrated negative pressure value; and determining the operation state of the filtering device in the dust removal system by using the pressure difference value. According to the embodiment of the application, the pressure difference value between the two ends of the filtering device in the dust removal system can be accurately determined, and then the operation state of the filtering device in the dust removal system can be accurately determined.

Description

Technical Field

[0001] This application belongs to the field of dust removal technology, and in particular relates to a method, apparatus, equipment, computer-readable storage medium and program product for monitoring the operating status of a dust removal system. Background Technology

[0002] In industrial production, commercial operations, and large public facilities, central dust collection systems are key equipment for ensuring environmental cleanliness and preventing dust pollution. Their stable operation is crucial for ensuring production safety, protecting personnel health, and improving production efficiency. According to the "Safety Standards for Dust Collection Systems in Dust Explosion Hazardous Locations," baghouse external filter dust collectors require monitoring and recording of the inlet and outlet pressure values, as well as the pressure difference.

[0003] Current technologies for monitoring pressure and differential pressure in central dust collection systems are diverse, but also have many limitations. For example, mechanical differential pressure gauges can only serve an alarm function and cannot monitor the pressure at the inlet and outlet of the dust collection device. Differential pressure gauges with digital displays measure inaccurate differential pressures and also cannot monitor the pressure at the inlet and outlet of the dust collection device. Alternatively, some conventional methods directly use the negative pressure values ​​measured at the inlet and outlet of the dust collection system to calculate the differential pressure and then use the differential pressure value to determine the operating status of the dust collection system. However, the negative pressure values ​​obtained by existing methods are affected by various factors, resulting in inaccurate differential pressure readings and thus failing to accurately determine the operating status of the dust collection system. Summary of the Invention

[0004] This application provides a method, apparatus, device, computer-readable storage medium, and program product for monitoring the operating status of a dust removal system. It can accurately determine the pressure difference between the inlet and outlet of the filter device in the dust removal system, and thus accurately determine the operating status of the filter device in the dust removal system based on the pressure difference.

[0005] On one hand, embodiments of this application provide a method for monitoring the operating status of a dust removal system. The method includes: acquiring a first current negative pressure value on the inlet side of a filter device in the dust removal system and a second current negative pressure value on the outlet side of the filter device; compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value; calibrating the first current compensated negative pressure value and the second current compensated negative pressure value respectively using calibration coefficients to obtain a calibrated first calibrated negative pressure value and a second calibrated negative pressure value; wherein the calibration coefficients are obtained based on the compensated negative pressure values ​​obtained at multiple operating frequencies and the absolute negative pressure values ​​at the multiple operating frequencies; determining the pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value using the first calibrated negative pressure value and the second calibrated negative pressure value; and determining the operating status of the filter device in the dust removal system using the pressure difference value, a blockage comparison value, a preset lower limit value for damage, and a preset upper limit value for damage.

[0006] Optionally, the first current negative pressure value and the second current negative pressure value are compensated respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value, including: performing zero-point compensation and / or range compensation on the first current negative pressure value and the second current negative pressure value respectively to obtain the first current compensated negative pressure value and the second current compensated negative pressure value.

[0007] Optionally, the first current compensated negative pressure value and the second current compensated negative pressure value are calibrated using calibration coefficients to obtain the calibrated first and second calibrated negative pressure values. This includes: obtaining multiple first negative pressure values ​​and multiple second negative pressure values ​​of the fan in the dust removal system at multiple operating frequencies, wherein the multiple first negative pressure values ​​are the negative pressure values ​​on the air inlet side of the filter device, and the multiple second negative pressure values ​​are the negative pressure values ​​on the air outlet side of the filter device; and performing zero-point compensation and / or range compensation on the multiple first negative pressure values ​​and the multiple second negative pressure values ​​respectively to obtain multiple first compensated negative pressures. The system obtains multiple first absolute negative pressure values ​​and multiple second absolute negative pressure values ​​of the fan in the dust removal system at the multiple operating frequencies; it obtains a first calibration coefficient using the multiple first compensation negative pressure values ​​and the multiple first absolute negative pressure values, and calibrates the first current compensation negative pressure value using the first calibration coefficient to obtain the first calibration negative pressure value; it obtains a second calibration coefficient using the multiple second compensation negative pressure values ​​and the multiple second absolute negative pressure values, and calibrates the second current compensation negative pressure value using the second calibration coefficient to obtain the second calibration negative pressure value.

[0008] Optionally, determining the operating status of the filter device in the dust removal system using the differential pressure value includes at least one of the following steps: using a fault database and the differential pressure value to determine whether the operating status of the filter device in the dust removal system is blocked or damaged, wherein the fault database is constructed based on multiple historical differential pressure values ​​when the historical operating status was damaged or blocked, and the damage tag or blockage tag; or, when the differential pressure value is greater than or equal to the blockage comparison value and lasts for a first preset time, the operating status of the filter device in the dust removal system is determined to be blocked; when the differential pressure value is greater than or equal to a preset lower limit of damage and less than or equal to a preset upper limit of damage and lasts for a second preset time, the operating status of the filter device in the dust removal system is determined to be damaged; when the differential pressure value is greater than the upper limit of damage and less than the blockage comparison value, the operating status of the filter device in the dust removal system is determined to be normal.

[0009] Optionally, constructing the fault database includes: acquiring a first historical calibration negative pressure value and a second historical calibration negative pressure value when the historical operating condition was blockage, to obtain a plurality of historical differential pressure values ​​corresponding to the blockage; acquiring a plurality of first historical calibration negative pressure values ​​and second historical calibration negative pressure values ​​when the historical operating condition was damage, to obtain a plurality of historical differential pressure values ​​corresponding to the damage; performing feature extraction on the plurality of historical differential pressure values ​​corresponding to the blockage and the plurality of historical differential pressure values ​​corresponding to the damage, respectively, to obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage; labeling the plurality of historical differential pressure values ​​with the historical operating condition of blockage with a blockage label, and labeling the plurality of historical differential pressure values ​​with the historical operating condition of damage with a damage label; and constructing a fault feature database based on the mapping relationship between the first feature vector and the blockage label and the mapping relationship between the second feature vector and the damage label.

[0010] Optionally, the method further includes: issuing a first-level alarm signal when the filter device in the dust removal system is clogged; and issuing a second-level alarm signal and stopping the dust removal system when the filter device in the dust removal system is damaged, wherein the second-level alarm signal is more urgent than the first-level alarm signal.

[0011] Optionally, the method further includes: dividing the data register into a circular storage buffer, a fault data buffer, and a historical data buffer; storing the first calibration negative pressure value and the second calibration negative pressure value in the circular storage buffer at preset time intervals using block transfer instructions; storing the first calibration negative pressure value corresponding to the current operating condition of blockage or damage as a second calibration negative pressure value in the fault data buffer; and storing the first historical calibration negative pressure value and the second historical calibration negative pressure value when the historical operating condition is blockage or damage in the historical data buffer in a first-in-first-out queue, wherein the first historical calibration negative pressure value and the second historical calibration negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and damage.

[0012] Optionally, the blockage comparison value is determined according to the following formula:

[0013] in, Indicates the blocking comparison value. This indicates the preset differential pressure value for clogging. This indicates the preset percentage.

[0014] On the other hand, embodiments of this application provide an apparatus for monitoring the operating status of a dust removal system. The apparatus includes: a first acquisition device for acquiring a first current negative pressure value on the air inlet side of a filter device in the dust removal system and a second current negative pressure value on the air outlet side of the filter device; a calibration device for compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value; a second acquisition device for calibrating the first current compensated negative pressure value and the second current compensated negative pressure value respectively using calibration coefficients to obtain a calibrated first calibrated negative pressure value and a second calibrated negative pressure value; wherein the calibration coefficients are obtained based on the compensated negative pressure values ​​acquired at multiple operating frequencies and the absolute negative pressure values ​​at the multiple operating frequencies; a first determination device for determining the pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value using the first calibrated negative pressure value and the second calibrated negative pressure value; and a second determination device for determining the operating status of the filter device in the dust removal system using the pressure difference value.

[0015] In another aspect, embodiments of this application provide an electronic device, the device comprising: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the method for monitoring the operating status of a dust removal system as described in any one of the claims.

[0016] In another aspect, embodiments of this application provide a computer storage medium storing computer program instructions, which, when executed by a processor, implement the method for monitoring the operating status of a dust removal system as described above.

[0017] In another aspect, embodiments of this application provide a computer program product in which instructions, when executed by a processor of an electronic device, cause the electronic device to perform the method for monitoring the operating status of a dust removal system.

[0018] The method, apparatus, device, computer-readable storage medium, and program product for monitoring the operating status of a dust removal system according to embodiments of this application include: acquiring a first current negative pressure value on the inlet side of a filter device in the dust removal system and a second current negative pressure value on the outlet side of the filter device. The operating status of the filter device can be determined using the pressure difference between the inlet and outlet sides. However, the pressure value directly measured by the sensor is affected by environmental factors and sensor errors, resulting in inaccurate pressure difference values ​​calculated directly from the measured negative pressure values, thus failing to accurately determine the current operating status of the filter device. Therefore, to eliminate these errors, this invention compensates for the real-time acquired first and second current negative pressure values ​​to obtain a compensated first current negative pressure. The first current compensated negative pressure value and the second current compensated negative pressure value are obtained. Then, the compensation negative pressure value and the absolute negative pressure value at the multiple working frequencies are used to obtain a calibration coefficient. The calibration coefficient is used to calibrate the first current compensated negative pressure value and the second current compensated negative pressure value respectively, and the calibrated first calibration negative pressure value and the second calibration negative pressure value are obtained. The negative pressure value obtained after compensation and calibration improves the accuracy of the negative pressure value. Then, the pressure difference between the first calibration negative pressure value and the second calibration negative pressure value is obtained. Based on the obtained pressure difference value, the operating status of the filter device in the dust removal system is determined. The technical solution of the present invention can accurately determine the pressure difference between the inlet and outlet of the filter device in the dust removal system, and thus can accurately confirm the operating status of the filter device in the dust removal system based on the pressure difference value. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating a method for monitoring the operating status of a dust removal system according to an embodiment of this application;

[0021] Figure 2 This is an overall structural diagram of a dust collection tank provided in one embodiment of this application;

[0022] Figure 3 This is a schematic diagram of an alarm process provided in one embodiment of this application;

[0023] Figure 4 This is a schematic diagram of a device structure for monitoring the operating status of a dust removal system, provided in another embodiment of this application;

[0024] Figure 5 This is a schematic diagram of the structure of an electronic device provided in another embodiment of this application.

[0025] Explanation of reference numerals in the attached figures

[0026] 101 Dust collection tank lower tank 102 Air inlet

[0027] 103 Dust collection tank upper tank 104 Air outlet

[0028] 105 flange, 106 filter device

[0029] 107 First pressure sensor 108 Second pressure sensor

[0030] 109 Digital Display 401 First Acquisition Device

[0031] 402 Compensation device; 403 Second acquisition device

[0032] 404 First determining device · 405 Second determining device

[0033] 301 Processor 302 Memory

[0034] 303 communication interface 310 bus Detailed Implementation

[0035] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0036] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0037] In industrial production, commercial operations, and large public facilities, central dust removal systems are key equipment for ensuring environmental cleanliness and preventing dust pollution. Their stable operation is crucial for ensuring production safety, protecting personnel health, and improving production efficiency.

[0038] In central dust collection systems, the operating status of filtration devices (such as filter bags and cartridges) is closely related to differential pressure. The lack of differential pressure monitoring capabilities makes it difficult for these technologies to accurately determine the actual operating conditions of the filtration devices. While conventional methods employ automated pressure detection equipment, some can only measure a single pressure point, failing to acquire differential pressure data between different areas within the dust collection tank. Measuring a single pressure point causes changes in system pressure distribution when filter bags or cartridges become clogged. This single-point measurement cannot effectively capture this change, leading to a continuous accumulation of dust on the filtration device, increasing operating resistance and reducing dust collection efficiency. Prolonged operation under these conditions significantly increases energy consumption and may even cause mechanical failures due to excessively high local pressure, shortening equipment lifespan and increasing maintenance costs and downtime.

[0039] Due to the drawbacks of single-point pressure measurement, conventional methods directly use the negative pressure values ​​measured at the inlet and outlet of the dust removal system to calculate the pressure difference, and then use the pressure difference value to determine the operating status of the dust removal system. However, the negative pressure values ​​obtained in this way are affected by various factors, resulting in inaccurate pressure difference values, and thus failing to accurately determine the operating status of the dust removal system.

[0040] To address the problems of the prior art, embodiments of this application provide a method, apparatus, device, computer-readable storage medium, and program product for monitoring the operating status of a dust removal system. The method for monitoring the operating status of a dust removal system provided in this application embodiment is described below.

[0041] Figure 1A flowchart illustrating a method for monitoring the operating status of a dust removal system according to an embodiment of this application is shown. Figure 1 As shown, a method for monitoring the operating status of a dust removal system includes steps S10-S14.

[0042] In step S10, the first current negative pressure value on the air inlet side of the filter device in the dust removal system and the second current negative pressure value on the air outlet side of the filter device are obtained.

[0043] Industrial dust collection systems include dust collection tanks and fans. The dust collection tank consists of an upper tank and a lower tank. The lower tank is the air inlet, and the upper tank is the air outlet. Between the upper and lower tanks is a filtration device (such as filter bags or filter cartridges; filter bags are filtration elements made of fiber filter material used to separate dust particles from dust-laden gas). The dust collection tank is mainly used to collect dust drawn in from the end of the pipeline, concentrating it in the dust collection bag. The fan provides airflow power in the system, creating a negative pressure environment. When the fan starts, it generates suction in the dust collection tank, forcing the dust-laden gas into the filtration device from the air inlet of the lower tank. After filtration, the gas is discharged from the air outlet of the filtration device (i.e., the air outlet of the dust collection tank), thus causing the dust to adhere to the filtration device, achieving the dust removal effect.

[0044] For example, such as Figure 2 This is an overall structural diagram of a dust collection tank provided in this application. An air inlet 102 is provided in the lower tank 101 of the dust collection tank, and an air outlet 104 is provided in the upper tank 103. A filter device 106 is installed between the lower tank 101 and the upper tank 103 via a flange 105 and a frame (not shown in the figure). A first pressure sensor 107 is installed on the air inlet side of the filter device 106 (i.e., near the lower tank 101), and a second pressure sensor 108 is installed on the air outlet side of the filter device 106 (i.e., near the upper tank 103).

[0045] To mitigate the impact of the significant difference in negative pressure values ​​measured due to the distance between the first pressure sensor 107 and the second pressure sensor 108 from the filter device 106, this embodiment of the application installs the first pressure sensor 107 and the second pressure sensor 108 on opposite sides of the filter device 106. For example, the first pressure sensor 107 and the second pressure sensor 108 are symmetrically installed on opposite sides of the filter device 106. The first pressure sensor 107 is installed on the air inlet side of the filter device 106, 2-5 cm from one end, and the second pressure sensor 108 is installed on the air outlet side of the filter device 106, 2-5 cm from the other end. Furthermore, to reduce interference from dust on the pressure sensor measurements, the first pressure sensor 107 and the second pressure sensor 108 are vertically installed on the outer wall of the dust collection tank, specifically as follows: Figure 2 As shown, it is connected to the inside of the dust collection tank via a connecting pipe.

[0046] The first pressure sensor 107 detects the negative pressure value on the air inlet side of the filter device 106 in real time to obtain the first current negative pressure value; the second pressure sensor 108 detects the negative pressure value on the air outlet side of the filter device 106 to obtain the second current negative pressure value.

[0047] In step S11, the first current negative pressure value and the second current negative pressure value are compensated respectively to obtain the first current compensated negative pressure value and the second current compensated negative pressure value.

[0048] Due to the influence of temperature changes on the pressure sensor, the span between the sensor's output value (zero point) and the output signal changes, causing the measured pressure value to drift. To obtain an accurate negative pressure value, it is first necessary to compensate for the first and second current negative pressure values.

[0049] In some embodiments, the first current negative pressure value and the second current negative pressure value are compensated respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value, including: performing zero-point compensation and / or range compensation on the first current negative pressure value and the second current negative pressure value respectively to obtain the first current compensated negative pressure value and the second current compensated negative pressure value.

[0050] Sensor measurements are affected by changes in ambient temperature, primarily in two ways: zero-point temperature effect and range temperature effect. Zero-point temperature effect: This refers to the drift in the sensor's output value (zero point) caused by temperature changes when the actual pressure applied to the sensor is zero (i.e., no pressure). Range temperature effect: This refers to the change in the span (sensitivity) of the sensor's output signal caused by temperature changes when the sensor applies a fixed full-scale pressure.

[0051] For example, the sensor zero-point temperature effect: less than ±0.015%fs / K when the pressure unit is bar, meaning that for every 1 Kelvin (or 1 degree Celsius) change in ambient temperature, the sensor's output value at zero pressure may drift by a maximum of 0.015% of the sensor's full-scale value (fs) in either the positive or negative direction. The range temperature effect: less than ±0.015%fs / K when the pressure unit is bar, meaning that for every 1 Kelvin (or 1 degree Celsius) change in ambient temperature, the sensor's output value at full-scale pressure relative to its zero-point output value may change by a maximum of ±0.015% of the sensor's full-scale value (fs). Therefore, zero-point compensation and / or range compensation are required for the first current negative pressure value and the second current negative pressure value, respectively. When the temperature difference is ΔT, it is converted to zero-point compensation when the pressure unit is Pa. for:

[0052] ,

[0053] Range compensation for:

[0054]

[0055] Preferably, both the first and second current negative pressure values ​​are subjected to zero-point compensation and range compensation, respectively. The resulting pressure value is more accurate than the pressure value obtained by performing only zero-point compensation or range compensation. For example, the expression for the pressure compensation value obtained by performing both zero-point compensation and range compensation on the first and second current negative pressure values ​​is as follows:

[0056]

[0057] in, This indicates that the pressure sensor measures the current pressure value. This indicates the pressure value after compensation.

[0058] This application embodiment takes into account the influence of temperature on the sensor. By performing zero-point compensation and range compensation on the real-time detected current negative pressure value, a first current compensated negative pressure value and a second current compensated negative pressure value with higher accuracy are obtained, thereby improving the accuracy of the measured negative pressure value.

[0059] In step S12, the first current compensation negative pressure value and the second current compensation negative pressure value are calibrated using calibration coefficients to obtain the calibrated first calibration negative pressure value and the second calibration negative pressure value.

[0060] The calibration coefficient is obtained based on the compensated negative pressure value and the absolute negative pressure value at multiple operating frequencies.

[0061] Zero-point compensation and range compensation can only solve the drift caused by temperature changes, but the negative pressure value measured by the sensor is also affected by other non-temperature factors such as mechanical stress, sensor aging, hysteresis effect, power fluctuation, etc. In order to further improve the accuracy of the negative pressure value, the first current compensation negative pressure value and the second current compensation negative pressure value are calibrated. The specific calibration method can be referred to in the following steps S121-S125.

[0062] In some embodiments, the first current compensated negative pressure value and the second current compensated negative pressure value are calibrated using calibration coefficients to obtain the calibrated first calibration negative pressure value and the second calibration negative pressure value, including steps S121-S125.

[0063] In step S121, multiple first negative pressure values ​​and multiple second negative pressure values ​​of the fan in the dust removal system at multiple operating frequencies are obtained respectively.

[0064] Wherein, the plurality of first negative pressure values ​​are the negative pressure values ​​on the air inlet side of the filter device, and the plurality of second negative pressure values ​​are the negative pressure values ​​on the air outlet side of the filter device.

[0065] In dust removal systems, fans provide airflow power to create a negative pressure environment. The higher the fan's operating frequency and the faster its rotation speed, the greater the negative pressure generated; conversely, the lower the operating frequency and the faster its rotation speed, the smaller the negative pressure generated.

[0066] For example, in this application embodiment, the operating frequency of the fan is changed by experimental means to obtain multiple first negative pressure values ​​and multiple second negative pressure values. For example, the operating frequencies are 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz, etc., respectively, and the first negative pressure values ​​on the air inlet side of 5 (or more) filter devices and the second negative pressure values ​​on the air outlet side of 5 filter devices are obtained accordingly.

[0067] In step S122, zero-point compensation and / or range compensation are performed on the plurality of first negative pressure values ​​and the plurality of second negative pressure values ​​respectively to obtain a plurality of first compensated negative pressure values ​​and a plurality of second compensated negative pressure values.

[0068] For example, similarly, zero-point compensation and / or range compensation are performed on the multiple first negative pressure values ​​and multiple second negative pressure values ​​obtained, respectively, to obtain 5 first compensated negative pressure values ​​and 5 second compensated negative pressure values. The compensation method is the same as step S11 in the above embodiment, and will not be repeated here.

[0069] In step S123, multiple first absolute negative pressure values ​​and multiple second absolute negative pressure values ​​of the fan in the dust removal system at the multiple operating frequencies are obtained respectively.

[0070] Absolute pressure refers to the pressure value measured relative to absolute vacuum (the pressure in a space with no gas molecules). It is a real measure of the pressure of a fluid or gas and can usually be measured using a digital display.

[0071] Pressure sensors measure relative pressure. However, the pressure sensor is affected by mechanical stress, sensor aging, hysteresis, power fluctuations, etc., which can lead to inaccurate pressure measurements. Therefore, the absolute pressure sensor is usually calibrated using a digital display to obtain a more accurate pressure value.

[0072] For example, such as Figure 2As shown, at the locations of the first pressure sensor 107 and the second pressure sensor 108, five first absolute negative pressure values ​​and five second absolute negative pressure values ​​are obtained using digital display meters 109 (either one digital display meter can be used to measure the absolute pressure at each location separately, or two digital display meters can be used simultaneously to measure the absolute pressure at each location) at the same fan operating frequency, such as 10 Hz, 20 Hz, 30 Hz, 40 Hz, and 50 Hz. In this embodiment, the multiple operating frequencies of the compensated negative pressure values ​​and absolute negative pressure values ​​are the same, ensuring that the compensated negative pressure values ​​and absolute negative pressure values ​​are obtained at the same operating frequency.

[0073] Digital pressure gauges offer advantages such as high accuracy, comprehensive functions, high speed, and strong anti-interference capabilities. They are small in size, consume little power, and provide intuitive readings. They can be used to calibrate the compensation negative pressure value of pressure sensors. Furthermore, the accuracy of absolute pressure digital gauges is higher than that of the pressure sensors used.

[0074] In step S124, a first calibration coefficient is obtained using the plurality of first compensation negative pressure values ​​and the plurality of first absolute negative pressure values. The first calibration coefficient is then used to calibrate the first current compensation negative pressure value to obtain the first calibration negative pressure value.

[0075] For example, since both the absolute negative pressure value and the first compensation negative pressure value are proportional to the operating frequency of the fan, there is also a linear relationship between the corresponding absolute negative pressure value and the first compensation negative pressure value. In order to obtain the calibration coefficient, multiple first compensation negative pressure values ​​can be linearly fitted with multiple corresponding absolute negative pressure values.

[0076] Specific fitting methods can include robust regression, least squares method, regularized regression, quantile regression, etc. The least squares method has the advantages of simplicity and efficiency compared to other methods. This application's embodiment preferably uses the least squares method to calculate the coefficients and intercept of the linear regression equation, based on the expression of the obtained first current compensation negative pressure value:

[0077]

[0078] Where i represents the i-th first pressure value obtained; n represents the total number of first pressure values ​​obtained, such as n=5 in the embodiment of this application; Represents the i first current compensation negative pressure values. Represents the i-th current negative pressure value, and represents the actual measured negative pressure value; Indicates range compensation. This indicates zero-point compensation; the calculation of range compensation and zero-point compensation is the same as in step S11 above, and will not be repeated here. Based on obtaining multiple first current compensation negative pressure values... and absolute pressure value The slope of the linear equation can be calculated using the following formula. and intercept :

[0079]

[0080] After calculating the coefficients and intercepts according to the above formula, the fitted D will be obtained. Substituting into the equation, we obtain the first calibration negative pressure value y1, where the first calibration coefficient is... , .

[0081] Traditional pressure detection is affected by sensor accuracy and environmental interference, equipment wear, and inaccurate data. This application's embodiment uses a high-precision negative pressure gauge to synchronously collect negative pressure data at multiple operating frequencies of the fan. This embodiment employs least squares processing and compares the calibration parameters with the regression line constant term to calibrate the pressure readings in real time, improving data accuracy by over 85%.

[0082] The embodiments of this application have a unique calibration mechanism to ensure the accuracy of pressure detection data and effectively improve the performance of the entire monitoring system.

[0083] In step S125, a second calibration coefficient is obtained using the plurality of second compensation negative pressure values ​​and the plurality of second absolute negative pressure values. The second calibration coefficient is then used to calibrate the second current compensation negative pressure value to obtain the second calibration negative pressure value.

[0084] For example, similar to the principle of step S12 above, the slope can be calculated based on the multiple second compensation negative pressure values ​​and the corresponding multiple second absolute negative pressure values. and intercept The fitted equation is then obtained. This allows us to obtain the second calibration negative pressure value y2, which corresponds to the second calibration coefficient. .

[0085] Furthermore, embodiments of this application can also calibrate the obtained first and second current negative pressure values ​​before compensation. The inventors have found that the accuracy of the negative pressure value obtained by first compensating and then calibrating is higher than that obtained by first calibrating and then compensating. Therefore, embodiments of this application preferably perform compensation first, and then use the calibration coefficient to calibrate the compensated negative pressure value.

[0086] This application embodiment takes into account that the negative pressure value measured by the sensor is also affected by other non-temperature factors such as mechanical stress, sensor aging, hysteresis effect, power fluctuation, etc. In order to further improve the accuracy of the negative pressure value, the first current compensated negative pressure value and the second current compensated negative pressure value are calibrated to obtain a more accurate negative pressure value.

[0087] In step S13, the pressure difference between the first calibration negative pressure value and the second calibration negative pressure value is determined using the first calibration negative pressure value and the second calibration negative pressure value.

[0088] Subtracting the first calibration negative pressure value from the second calibration negative pressure value yields the corresponding pressure difference value. Based on this pressure difference value, compared to traditional single-point pressure detection, it can more comprehensively and accurately reflect the operating status of the filtration device in the dust removal system.

[0089] In step S14, the operating status of the filtration device in the dust removal system is determined using the differential pressure value.

[0090] The differential pressure value in step S14 is obtained by subtracting the first calibration negative pressure value from the second calibration negative pressure value in step S13 above. The first calibration negative pressure value is obtained after compensation and calibration of the first current negative pressure value, and the second calibration negative pressure value is obtained after compensation and calibration of the second current negative pressure value.

[0091] This application embodiment can detect abnormalities in the filtration device immediately by obtaining the first and second calibration negative pressure values ​​and the corresponding differential pressure values ​​in real time. For example, initial clogging of the filter bag is difficult to detect with traditional techniques; this method relies on a surge in differential pressure to provide an early warning within seconds. This can advance the detection time of abnormalities by at least 70%, preventing a reduction in dust removal efficiency of more than 50% and protecting the production environment.

[0092] In some embodiments, the operating status of the filter device in the dust removal system is determined using the differential pressure value, including at least one of the following steps S141-S144.

[0093] In step S141, the operating status of the filter device in the dust removal system is determined to be either blocked or damaged using the fault database and the differential pressure value.

[0094] The fault database is constructed based on multiple historical differential pressure values ​​when the historical operating conditions were damaged or blocked, along with the damage label or blockage label.

[0095] Before using fault data to determine whether the operating status of the filter device in the dust removal system is blocked or damaged, it is first necessary to construct a fault database using multiple historical differential pressure values ​​and corresponding tag data when the historical operating status was damaged or blocked. For details, please refer to the following steps S1411-S1415.

[0096] In some embodiments, constructing the fault database includes the following steps S1411-S1415.

[0097] In step S1411, a first historical calibration negative pressure value and a second historical calibration negative pressure value when the historical operating condition is blocked are obtained to obtain a plurality of historical pressure difference values ​​corresponding to the blockage.

[0098] The first historical calibration negative pressure value when the filter is blocked is obtained by compensating and calibrating the negative pressure value on the air inlet side when the filter is blocked. The compensation and calibration methods are the same as those for obtaining the first calibration negative pressure value. Specifically, it can be obtained from the historical data recorded when the blockage occurred during the historical operation.

[0099] Similarly, the second historical calibration negative pressure value during blockage is obtained by compensating and calibrating the negative pressure value on the air outlet side of the filter device when blockage occurs. The compensation and calibration methods are the same as those for obtaining the second calibration negative pressure value, and can be obtained from historical data recorded during historical operation when blockage occurs. For example, the differences between the first and second historical calibration negative pressure values ​​during multiple historical operating conditions of blockage are obtained to obtain multiple historical pressure difference values ​​during blockage. The number of historical data sets can be 100, 200, 1000, etc., and this application embodiment does not impose a specific limitation. The first historical calibration pressure difference refers to the negative pressure value on the air inlet side of the filter device, and the second historical calibration pressure difference refers to the negative pressure value on the air outlet side of the filter device.

[0100] In step S1412, a first historical calibration negative pressure value and a second historical calibration negative pressure value when the historical operating condition is damaged are obtained to obtain a plurality of historical pressure difference values ​​corresponding to the damage.

[0101] The first historical calibration negative pressure value at the time of damage is obtained by compensating and calibrating the negative pressure value on the air inlet side of the filter device after damage. The compensation and calibration methods are the same as those for obtaining the first calibration negative pressure value. Specifically, it can be obtained from the historical data recorded when blockages occurred during historical operation.

[0102] Similarly, the second historical calibration negative pressure value at the time of damage is obtained by compensating and calibrating the negative pressure value on the air outlet side of the filter device after damage. The compensation and calibration methods are the same as those for obtaining the second calibration negative pressure value, and can be obtained from the historical data recorded when damage occurred during historical operation.

[0103] For example, similarly, multiple historical pressure difference values ​​when the historical operating condition is damaged can be obtained. The number of historical data obtained can be 100 sets, 200 sets, 500 sets, etc. This application embodiment does not make specific limitations. Usually, the pressure difference value when damaged is small.

[0104] In step S1413, feature extraction is performed on the multiple historical pressure difference values ​​corresponding to the blockage and the multiple historical pressure difference values ​​corresponding to the rupture, respectively, to obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the rupture.

[0105] For example, feature extraction can be performed on the multiple historical pressure differential values ​​corresponding to blockages obtained in step S1411 and the multiple historical pressure differential values ​​corresponding to ruptures obtained in step S1412. Specifically, feature extraction can be performed using convolutional neural networks, LSTM long short-term memory models, etc., to obtain a first feature vector corresponding to blockages and a second feature vector corresponding to ruptures. The first feature vector and the second feature vector can specifically include at least the mean, standard deviation, maximum value, and minimum value.

[0106] In step S1414, a blockage tag is applied to the plurality of historical differential pressure values ​​whose historical operating condition is blockage, and a damage tag is applied to the plurality of historical differential pressure values ​​whose historical operating condition is damage.

[0107] For example, the labeling of multiple historical differences in historical operation status as blocked / damaged can be done manually or by using a trained label generation model to obtain the corresponding label data. For example, the first feature vector and the second feature vector can be input into the trained label generation model to obtain the blockage label corresponding to the blockage and the damage label corresponding to the damage.

[0108] The label generation model is trained based on a machine learning algorithm. In this embodiment, the label generation model can be a clustering model trained based on a clustering algorithm, a neural network model, a deep learning model, or a convolutional neural network model, etc. For example, it can be extreme gradient boosting (XGBoost), convolutional neural networks (CNN), recurrent neural networks (RNN), fully convolutional networks (FCN); it can also be one or more of the following models: long short-term memory network model (LSTM), support vector machine (SVM), etc., without limitation.

[0109] In step S1415, a fault feature database is constructed based on the mapping relationship between the first feature vector and the blockage tag and the mapping relationship between the second feature vector and the damage tag.

[0110] The label generation model records the mapping relationship between the first feature vector and the blocked label information, and the second feature vector and the damaged label have a corresponding mapping relationship.

[0111] This application embodiment obtains the differential pressure values ​​corresponding to multiple historical fault data and extracts their features. It can accurately learn the characteristics of fault type data and establish a mapping relationship between fault data and corresponding fault type labels. Finally, by using the constructed fault feature database and the obtained differential pressure values, it can accurately identify whether the filter device of the current dust removal system is damaged or blocked, thus improving the accuracy of fault type identification.

[0112] Alternatively, in step S142, if the differential pressure value is greater than or equal to the blockage comparison value and continues for a first preset time, the operating condition of the filter device in the dust removal system is determined to be blocked.

[0113] For example, if the differential pressure value is greater than or equal to the blockage comparison value and this condition persists for a first preset time (e.g., 300s, 600s, etc.), it is determined that the filter device is blocked. Determining the filter device's operating condition as blocked by maintaining this condition for a preset time reduces the likelihood of false positives.

[0114] Specifically, the judgment and preset duration can be set through the PLC control system. A 32-bit floating-point arithmetic instruction is used to execute a formula to block the comparison value, preventing false alarms. Delay confirmation logic is added, and a power-on delay timer (TON) is started, with a preset trigger time (which can be manually set via D406). Within the timing period, the comparison instruction (CMP) continuously monitors D20 > D400; if the preset time condition is met, the alarm relay is activated and the counter (C0) is triggered. Fault retention: The alarm state is maintained through a self-locking circuit (SET / RST) until manual reset (triggered on the rising edge of M500).

[0115] In some embodiments, the blockage comparison value is determined according to the following formula.

[0116] in, Indicates the blocking comparison value. This indicates the preset differential pressure value for clogging. This indicates the preset percentage.

[0117] For example, the clogging comparison value refers to a threshold used to determine whether the filter device is clogged. The preset clogging pressure difference value is set according to actual needs and can be obtained experimentally or based on experience; for example, the preset clogging pressure difference value is 1600 Pa. This embodiment sets a certain preset percentage margin (e.g., a preset percentage exceeding the preset clogging pressure difference value by 10%, 15%, etc.) based on the preset clogging pressure difference value. By setting a certain margin, clogging is avoided immediately upon reaching the preset clogging value, thus appropriately reducing downtime and economic losses.

[0118] In step S143, when the differential pressure value is greater than or equal to the lower limit of the damage preset value and less than or equal to the upper limit of the damage preset value, and this condition persists for a second preset time, the operating status of the filter device in the dust removal system is determined to be damaged.

[0119] For example, when the filter device is damaged, the differential pressure is very small, resulting in a small difference between the preset lower limit and the preset upper limit of damage. Considering that the differential pressure is 0 when the device is not started, to prevent misjudgment, this embodiment sets the preset lower limit of damage to be greater than 0, such as 10 Pa, 15 Pa, ... 100 Pa, or any value between 10 Pa and 100 Pa; the preset upper limit of damage is set to 50 Pa, 100 Pa, 200 Pa, or 300 Pa, or any value between 50 Pa and 300 Pa. When the differential pressure is greater than or equal to the preset lower limit of damage and less than or equal to the preset upper limit of damage, and this condition persists for a second preset time (such as 300 s, 600 s, etc., which can be the same as or different from the first preset time, and can be set according to actual needs), the filter device is determined to be in a damaged state.

[0120] Delayed confirmation logic can also be added to determine the damage status. Start the power-on delay timer (TON) and preset the confirmation time (which can be manually set via D407). Within the time period, continuously monitor D401 (preset lower limit of damage) ≤ D20 (differential pressure value) ≤ D402 (preset upper limit of damage) through the interval comparison instruction. When the condition is met, activate the alarm relay and trigger the counter (C0) to count.

[0121] In step S144, when the differential pressure value is greater than the upper limit of damage and less than the blockage comparison value, the operating status of the filter device in the dust removal system is determined to be normal.

[0122] This application embodiment uses a pre-built fault feature database, or compares differential pressure values ​​with blockage comparison values, and preset lower and upper limits of damage values, to determine the operating status of the filter device in the dust removal system, thereby improving the diversity of obtaining the operating status of the filter device.

[0123] In some embodiments, the method further includes: issuing a first-level alarm signal when the filter device in the dust removal system is clogged; and issuing a second-level alarm signal and stopping the dust removal system when the filter device in the dust removal system is damaged, wherein the second-level alarm signal is more urgent than the first-level alarm signal.

[0124] This application embodiment takes into account that breakage may damage the dust collection system, while blockage only affects the dust collection effect and does not damage the dust collection system. Therefore, the urgency level of breakage is set to be greater than that of blockage. For example, the first-level alarm signal for blockage is an audible and visual alarm once per second, while the second-level alarm signal for breakage is an audible and visual alarm three times per second and an emergency shutdown to prevent damage to the dust collection system. Figure 3 This is a schematic diagram of the alarm process provided in the embodiment of this application. The specific execution methods of steps S30-S33 can be referred to steps S10-S13 above, and will not be repeated here.

[0125] In this embodiment, different alarm levels are set according to the urgency of the fault type. Based on the alarm signal, the staff can determine the fault type of the filter device and the urgency of repair, which facilitates timely repair and ensures the normal operation of the industrial dust removal device.

[0126] In some embodiments, the method further includes: dividing the data register into a circular storage buffer, a fault data buffer, and a historical data buffer; storing the first calibration negative pressure value and the second calibration negative pressure value in the circular storage buffer at preset time intervals using block transfer instructions; storing the first calibration negative pressure value and the second calibration negative pressure value corresponding to the current operating condition of blockage or damage to the fault data buffer; and storing the first historical calibration negative pressure value and the second historical calibration negative pressure value when the historical operating condition is blockage or damage in the historical data buffer in a first-in-first-out queue, wherein the first historical calibration negative pressure value and the second historical calibration negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and damage.

[0127] Block transfer instructions are core operation instructions used in computer architectures or industrial control systems for efficient batch data transfer. Their core objective is to reduce the instruction overhead of a single data transfer, significantly improving data throughput efficiency between memory and I / O devices.

[0128] A First-In-First-Out (FIFO) queue is a basic data structure that strictly follows the rule that the first element added is the first element removed.

[0129] Sliding windows are a common data processing technique widely used in data stream analysis, network protocols (such as TCP), signal processing, and real-time systems. Efficiently managing sliding windows using pointer registers can optimize memory access, reduce data copying, and improve computational performance.

[0130] Pointer registers are special-purpose registers in computer architecture used to store memory addresses or data pointers. Their core function is to efficiently access memory data, avoid frequent calculations of address offsets, and thus improve program execution speed.

[0131] The data ring structure (also known as a ring buffer) is a storage scheme that efficiently manages continuous data streams. It achieves copy-free overwrite writing and first-in-first-out (FIFO) reading of data by using interconnected storage spaces and cyclic movement of pointers.

[0132] For example, in order to achieve efficient data storage, the embodiments of this application divide the register into a circular storage buffer, a fault data buffer, and a historical data buffer. 32-bit double-word arithmetic instructions are used for data processing, and block transfer instructions are used to batch store the calibration negative pressure value and differential pressure value into the corresponding data register area, thus constructing a circular storage buffer.

[0133] Among these methods, efficient storage utilizes 32-bit double-word operations, which offer sufficient precision for most scenarios compared to 64-bit operations, while also reducing hardware cost and power consumption. Furthermore, compared to 16-bit or 8-bit operations, it provides a better balance of precision, efficiency, and compatibility. Therefore, this application's embodiments preferentially employ 32-bit double-word operation instructions for data processing.

[0134] For the circular storage buffer, a sliding window storage is implemented through a pointer register. For example, the first calibration negative pressure value, the second calibration negative pressure value, and the corresponding differential pressure value of the region are updated every preset time interval (such as 50ms, 100ms, etc.). By caching data according to the preset time interval, the amount of data stored can be reduced, saving memory.

[0135] This application embodiment can be controlled by a PLC system to convert the physical quantities measured by the first pressure sensor 107 and the second pressure sensor 108 into standard 4-20mA current signals. Through a 32-bit data block transfer instruction (DMOV), the raw data of the analog quantity circular storage buffer (starting address K0) is transferred in batches to the register area with D1500 as the starting address to complete the signal acquisition initialization.

[0136] The current signal is read starting from address K22 of the analog module buffer memory (which can be set according to actual needs). The data is written to the D1500-D1505 register group (which can be set according to actual needs) using the block transfer instruction (BMOV). The integer data in D1500 is converted to floating-point numbers using the integer-to-floating-point conversion instruction (ITOF) and stored in D110. The PLC performs the following operations using the floating-point division instruction (FDIV): D110 ÷ K10 → D1520 (reducing the original digital value of the sensor by a factor of 10 to adjust the numerical precision; if the value is used directly, subsequent division operations may result in precision loss), D1520 ÷ K20000 → D1540 (converting the normalized digital value to standard pressure units; the conversion formula is: actual pressure value = digital value × range ÷ full-scale digital value), and D1540 × K100000 → D1560 (converting the pressure unit to Pa and extracting the minimum value; D1560 stores the minimum pressure value within the current sampling period, used for subsequent negative pressure judgment). This process involves the PLC receiving the electrical signal output from the negative pressure sensor, converting it into a digital signal, and performing floating-point calculations to complete the engineering conversion of the physical quantity (negative pressure).

[0137] For the fault data buffer, the first calibration negative pressure value and the second calibration negative pressure value when the current operating status is blocked or damaged are stored in this area, which is used to obtain the corresponding alarm data from the fault data buffer.

[0138] For the historical data buffer, data from periods of blockage or damage are stored in a first-in-first-out queue using a data ring structure. The historical data includes timestamps, historical negative pressure values, and fault types. For example, if a blockage or damage occurs in the middle of the night, only the relevant fault type needs to be retrieved to obtain all the time points and related negative pressure values ​​associated with the fault, eliminating the need to review previous data curves. This efficient and continuous data storage enables accurate diagnosis and rapid repair of equipment faults.

[0139] This application's embodiments can also fit historical operating data with real-time negative pressure data to predict the changing trends of equipment parameters. For example, by fitting real-time differential pressure values ​​with historical abnormal data such as damage and blockages, future malfunctions can be predicted.

[0140] In terms of equipment operation and maintenance management, the negative pressure and differential pressure values ​​generated during the operation of the dust removal system are recorded systematically and over a long period. Equipment managers can gain a deeper understanding of the dust removal system's operating patterns through historical data, providing data support for equipment maintenance and fault diagnosis, thus achieving efficient operation and maintenance management.

[0141] In terms of equipment maintenance, traditional technologies suffer from a lack of maintenance data, resulting in time-consuming troubleshooting and poorly targeted solutions. This application integrates efficient storage to record negative pressure, differential pressure, alarm thresholds, and fault information throughout the entire equipment operation cycle. With the help of a fault database, fault location time is reduced by at least 60%, repair time is reduced by 40%, and economic losses are minimized.

[0142] This application's embodiment utilizes a high-efficiency data storage architecture based on double-word registers. It employs 32-bit double-word arithmetic instructions for high-precision data processing, and uses block transfer instructions to batch store the calculation results into the data register area, constructing a circular storage buffer. It integrates efficient data storage functions, automatically and continuously recording negative pressure values, differential pressure values, alarm records, and detailed fault records during equipment operation. This data provides comprehensive and detailed reference information for equipment operation management and maintenance, enabling accurate prediction and rapid repair of equipment faults. This effectively reduces equipment efficiency decline and damage caused by filter clogging or breakage, improving the overall stability and reliability of the equipment.

[0143] Figure 4 An embodiment of the present invention illustrates an apparatus for monitoring the operating status of a dust removal system. The apparatus 40 for monitoring the operating status of a dust removal system includes: a first acquisition device 401, for acquiring a first current negative pressure value on the air inlet side of a filter device in the dust removal system and a second current negative pressure value on the air outlet side of the filter device; a compensation device 402, for compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value; a second acquisition device 403, for calibrating the first current compensated negative pressure value and the second current compensated negative pressure value respectively using calibration coefficients to obtain calibrated first calibrated negative pressure values ​​and second calibrated negative pressure values; wherein the calibration coefficients are obtained based on the compensated negative pressure values ​​acquired at multiple operating frequencies and the absolute negative pressure values ​​at the multiple operating frequencies; a first determination device 404, for determining the pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value using the first calibrated negative pressure value and the second calibrated negative pressure value; and a second determination device 405, for determining the operating status of the filter device in the dust removal system using the pressure difference value.

[0144] In some embodiments, the compensation device is used to compensate the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value, including: performing zero-point compensation and / or range compensation on the first current negative pressure value and the second current negative pressure value respectively to obtain the first current compensated negative pressure value and the second current compensated negative pressure value.

[0145] In some embodiments, the second acquisition device is configured to calibrate the first current compensated negative pressure value and the second current compensated negative pressure value using calibration coefficients, and acquire the calibrated first calibrated negative pressure value and second calibrated negative pressure value, including: acquiring multiple first negative pressure values ​​and multiple second negative pressure values ​​of the fan in the dust removal system at multiple operating frequencies, wherein the multiple first negative pressure values ​​are the negative pressure values ​​on the air inlet side of the filter device, and the multiple second negative pressure values ​​are the negative pressure values ​​on the air outlet side of the filter device; and performing zero-point compensation and / or range compensation on the multiple first negative pressure values ​​and the multiple second negative pressure values ​​respectively to obtain... Multiple first compensation negative pressure values ​​and multiple second compensation negative pressure values; multiple first absolute negative pressure values ​​and multiple second absolute negative pressure values ​​of the fan in the dust removal system at the multiple operating frequencies; using the multiple first compensation negative pressure values ​​and the multiple first absolute negative pressure values, a first calibration coefficient is used to calibrate the first current compensation negative pressure value to obtain the first calibration negative pressure value; using the multiple second compensation negative pressure values ​​and the multiple second absolute negative pressure values, a second calibration coefficient is obtained, and using the second calibration coefficient to calibrate the second current compensation negative pressure value to obtain the second calibration negative pressure value.

[0146] In some embodiments, the operating status of the filter device in the dust removal system is determined using the differential pressure value, including at least one of the following steps: using a fault database and the differential pressure value, the operating status of the filter device in the dust removal system is determined to be either blocked or damaged, wherein the fault database is constructed based on multiple historical differential pressure values ​​when the historical operating status was damaged or blocked, and the damage label or blockage label;

[0147] Alternatively, if the differential pressure value is greater than or equal to the blockage comparison value and continues for a preset time, the operating status of the filter device in the dust removal system is determined to be blocked;

[0148] When the differential pressure value is greater than or equal to the preset lower limit of damage and less than or equal to the preset upper limit of damage, the operating condition of the filter device in the dust removal system is determined to be damaged; when the differential pressure value is greater than the upper limit of damage and less than the blockage comparison value, the operating condition of the filter device in the dust removal system is determined to be normal.

[0149] In some embodiments, the system further includes a construction apparatus for constructing the fault database, comprising: acquiring a plurality of first historical calibration negative pressure values ​​and second historical calibration negative pressure values ​​when the historical operating condition was blockage, to obtain a plurality of historical differential pressure values ​​corresponding to the blockage; acquiring a plurality of first historical calibration negative pressure values ​​and second historical calibration negative pressure values ​​when the historical operating condition was damage, to obtain a plurality of historical differential pressure values ​​corresponding to the damage; performing feature extraction on the plurality of historical differential pressure values ​​corresponding to the blockage and the plurality of historical differential pressure values ​​corresponding to the damage, respectively, to obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage; labeling the plurality of historical differential pressure values ​​with the historical operating condition of blockage with a blockage label, and labeling the plurality of historical differential pressure values ​​with the historical operating condition of damage with a damage label; and constructing a fault feature database based on the mapping relationship between the first feature vector and the blockage label and the mapping relationship between the second feature vector and the damage label.

[0150] In some embodiments, the device further includes: a primary alarm module and a secondary alarm module. The primary alarm module is used to issue a primary alarm signal when the filter in the dust removal system is clogged. The secondary alarm module is used to issue a secondary alarm signal and stop the dust removal system when the filter in the dust removal system is damaged. The secondary alarm signal is more urgent than the primary alarm signal.

[0151] In some embodiments, the apparatus further includes: a partitioning module, a first storage module, a second storage module, and a third storage module; the partitioning module is used to partition the data register into a circular storage buffer, a fault data buffer, and a historical data buffer; the first storage module is used to store the first calibration negative pressure value and the second calibration negative pressure value in the circular storage buffer at preset time intervals using block transfer instructions; the second storage module is used to store the first calibration negative pressure value and the second calibration negative pressure value corresponding to the current operating condition being blocked or damaged into the fault data buffer; the third storage module is used to store the first historical calibration negative pressure value and the second historical calibration negative pressure value when the historical operating condition is blocked or damaged into the historical data buffer in a first-in-first-out queue, wherein the first historical calibration negative pressure value and the second historical calibration negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and damage.

[0152] The implementation principle and technical effects of the device for monitoring the operation of a dust removal system provided in this application embodiment are the same as those of the above-mentioned method, and will not be repeated here.

[0153] Figure 5A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0154] An electronic device may include a processor 301 and a memory 302 storing computer program instructions.

[0155] Specifically, the processor 301 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0156] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 302 is non-volatile solid-state memory.

[0157] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0158] The processor 301 reads and executes computer program instructions stored in the memory 302 to implement any of the methods for monitoring the operating status of the dust removal system in the above embodiments.

[0159] In one example, the electronic device may also include a communication interface 303 and a bus 310. For example, Figure 5 As shown, the processor 301, memory 302, and communication interface 303 are connected through bus 310 and complete communication with each other.

[0160] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0161] Bus 310 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0162] This electronic device can execute the online data traffic billing method described in this application embodiment based on currently blocked spam SMS messages and SMS messages reported by users, thereby achieving a combination of... Figure 1 and Figure 2 A method for monitoring the operating status of a dust removal system is described.

[0163] Furthermore, in conjunction with the methods for monitoring the operating status of a dust removal system described in the above embodiments, this application embodiment can provide a computer storage medium for implementation. This computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the methods for monitoring the operating status of a dust removal system described in the above embodiments.

[0164] This application also provides a computer program product, including a computer program, which, when executed, implements any of the methods for monitoring the operating status of a dust removal system described in the above embodiments.

[0165] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0166] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0167] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0168] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0169] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for monitoring the operating condition of a dedusting system, characterized in that, The method comprises the following steps: obtaining a first current negative pressure value of an air inlet side of a filter device in a dust removal system and a second current negative pressure value of an air outlet side of the filter device; compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value; calibrating the first current compensated negative pressure value and the second current compensated negative pressure value respectively by using a calibration coefficient to obtain a first calibrated negative pressure value and a second calibrated negative pressure value, wherein the calibration coefficient is obtained according to compensated negative pressure values obtained at multiple working frequencies and absolute negative pressure values at the multiple working frequencies; determining a pressure difference value between the first calibrated negative pressure value and the second calibrated negative pressure value by using the first calibrated negative pressure value and the second calibrated negative pressure value; determining an operating condition of the filter device in the dust removal system by using the pressure difference value.

2. The method of claim 1, wherein, The method of compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensated negative pressure value and a second current compensated negative pressure value comprises the following steps: zero compensation and / or range compensation are performed on the first current negative pressure value and the second current negative pressure value respectively to obtain the first current compensated negative pressure value and the second current compensated negative pressure value.

3. The method of claim 1, wherein, The method of calibrating the first current compensated negative pressure value and the second current compensated negative pressure value respectively by using a calibration coefficient to obtain a first calibrated negative pressure value and a second calibrated negative pressure value comprises the following steps: a plurality of first negative pressure values and a plurality of second negative pressure values of a fan in the dust removal system at multiple working frequencies are obtained respectively, wherein the plurality of first negative pressure values are negative pressure values of an air inlet side of the filter device, and the plurality of second negative pressure values are negative pressure values of an air outlet side of the filter device; zero compensation and / or range compensation are performed on the plurality of first negative pressure values and the plurality of second negative pressure values respectively to obtain a plurality of first compensated negative pressure values and a plurality of second compensated negative pressure values; a plurality of first absolute negative pressure values and a plurality of second absolute negative pressure values of the fan in the dust removal system at the multiple working frequencies are obtained respectively; a first calibration coefficient is obtained by using the plurality of first compensated negative pressure values and the plurality of first absolute negative pressure values, and the first current compensated negative pressure value is calibrated by using the first calibration coefficient to obtain the first calibrated negative pressure value; a second calibration coefficient is obtained by using the plurality of second compensated negative pressure values and the plurality of second absolute negative pressure values, and the second current compensated negative pressure value is calibrated by using the second calibration coefficient to obtain the second calibrated negative pressure value.

4. The method of claim 1, wherein, The method of determining an operating condition of the filter device in the dust removal system by using the pressure difference value comprises at least one of the following steps: an operating condition of the filter device in the dust removal system is determined to be blocked or damaged by using a fault database and the pressure difference value, wherein the fault database is constructed based on a plurality of historical pressure difference values when a plurality of historical operating conditions are damaged or blocked and a damage label or a blockage label; when the pressure difference value is greater than or equal to a blockage comparison value and lasts for a first preset time, it is determined that the operating condition of the filter device in the dust removal system is blocked. determining that the filter device in the dust removal system is in a broken state when the pressure difference value is greater than or equal to a lower limit of a broken preset value and less than or equal to an upper limit of the broken preset value and lasts for a second preset time; determining that the filter device in the dust removal system is in a normal state when the pressure difference value is greater than the upper limit of the broken value and less than a clogging contrast value.

5. The method of claim 4, wherein, constructing the fault database, comprising: obtaining a plurality of first historical calibration negative pressure values and second historical calibration negative pressure values when the historical operation state is clogging, to obtain a plurality of historical pressure difference values corresponding to the clogging; obtaining a plurality of first historical calibration negative pressure values and second historical calibration negative pressure values when the historical operation state is broken, to obtain a plurality of historical pressure difference values corresponding to the broken; respectively extracting features from the plurality of historical pressure difference values corresponding to the clogging and the plurality of historical pressure difference values corresponding to the broken, to obtain a first feature vector corresponding to the clogging and a second feature vector corresponding to the broken; labeling the plurality of historical pressure difference values as clogging when the historical operation state is clogging, and labeling the plurality of historical pressure difference values as broken when the historical operation state is broken; constructing a fault feature database according to the mapping relationship between the first feature vector and the clogging label and the mapping relationship between the second feature vector and the broken label.

6. The method of claim 4, wherein, The method further comprises: when the operation state of the filter device in the dust removal system is clogging, issuing a first-level alarm signal; when the operation state of the filter device in the dust removal system is broken, issuing a second-level alarm signal and stopping the dust removal system, wherein the second-level alarm signal is more urgent than the first-level alarm signal.

7. The method of claim 4, wherein, The method further comprises: dividing the data register into a circular storage buffer, a fault data buffer, and a historical data buffer; storing the first calibration negative pressure value and the second calibration negative pressure value in the circular storage buffer at a preset time interval through a block transfer instruction; storing the first calibration negative pressure value and the second calibration negative pressure value corresponding to the current operation state of clogging or broken into the fault data buffer; storing the first historical calibration negative pressure value and the second historical calibration negative pressure value when the historical operation state is clogging or broken in a first-in-first-out queue in the historical data buffer, wherein the first historical calibration negative pressure value and the second historical calibration negative pressure value each include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes clogging and broken.

8. The method of claim 4, wherein, The clogging contrast value is determined according to the following formula: wherein, represents a clogging contrast value, represents a preset clogging pressure difference value, represents a preset percentage.

9. An apparatus for monitoring the operating condition of a dust extraction system, characterised in that, The device comprises: a first obtaining device for obtaining a first current negative pressure value at an air inlet side of a filter device in a dust removal system and a second current negative pressure value at an air outlet side of the filter device; a compensation device for compensating the first current negative pressure value and the second current negative pressure value respectively to obtain a first current compensation negative pressure value and a second current compensation negative pressure value; The second acquisition device is configured to calibrate the first current compensation negative pressure value and the second current compensation negative pressure value respectively by using a calibration coefficient to obtain a first calibrated negative pressure value and a second calibrated negative pressure value, wherein the calibration coefficient is obtained according to the compensated negative pressure values obtained under a plurality of working frequencies and the absolute negative pressure values under the plurality of working frequencies. The first determination device is configured to determine a pressure difference value between the first calibrated negative pressure value and the second calibrated negative pressure value by using the first calibrated negative pressure value and the second calibrated negative pressure value. The second determination device is configured to determine the running state of the filtering device in the dust removal system by using the pressure difference value.

10. An electronic device, comprising: The device comprises a processor and a memory storing computer program instructions. The processor executes the computer program instructions to implement the method for monitoring the running state of the dust removal system according to any one of claims 1-8.

11. A computer readable storage medium, characterized in that, The computer readable storage medium stores computer program instructions, and the computer program instructions are executed by the processor to implement the method for monitoring the running state of the dust removal system according to any one of claims 1-8.

12. A computer program product, characterised in that, The instructions in the computer program product are executed by the processor of the electronic device to enable the electronic device to perform the method for monitoring the running state of the dust removal system according to any one of claims 1-8.

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