Method, equipment and program product for monitoring operation condition of dust removal system

Abstract

The invention discloses a method and equipment for monitoring the operation condition of a dust removal system and a program product. The method comprises the steps that a first current negative pressure value of the air inlet side and a second current negative pressure value of the air outlet side of a filtering device in the dust removal system are obtained; respectively compensating the first current negative pressure value and the second current negative pressure value to obtain a first current compensation negative pressure value and a second current compensation negative pressure value; calibrating the first current compensation negative pressure value and the second current compensation negative pressure value by using the calibration coefficient to obtain a calibrated first calibration negative pressure value and a calibrated second calibration negative pressure value; determining a pressure difference value between the first calibration negative pressure value and the second calibration negative pressure value by using the first calibration negative pressure value and the second calibration negative pressure value; and determining the operation condition of the filtering device in the dust removal system by using the pressure difference value. According to the embodiment of the invention, 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 condition of the filtering device in the dust removal system is accurately determined.

Description

Technical Field

[0001] This application belongs to the technical field of dust removal, and particularly relates to a method, device, equipment, computer-readable storage medium and program product for monitoring the operating status of a dust removal system. Background Art

[0002] In fields such as industrial production, commercial operation, and large public facilities, the central dust removal system, as a key device for ensuring environmental cleanliness and preventing dust pollution, its stable operation is crucial for ensuring production safety, maintaining personnel health, and improving production efficiency. According to the requirements in "Safety of Dust Removal Systems for Dust Explosion Hazardous Areas", bag-type external filter dust collectors are required to monitor and record the monitored values of the inlet and outlet pressures of the dust collector and the pressure difference value.

[0003] Currently, the existing technologies for monitoring the pressure and pressure difference of the central dust removal system show diverse characteristics, but there are also many limitations. For example, a mechanical pressure difference gauge can only function as an alarm and cannot monitor the pressures at the inlet and outlet of the dust removal device. A pressure difference gauge with a digital display function measures inaccurate pressure differences and also cannot monitor the pressures at the inlet and outlet of the dust removal device; or some conventional methods directly calculate the pressure difference using the negative pressure values measured at the inlet and outlet of the dust removal system, and then determine the operating status of the dust removal system based on the pressure difference value. However, the negative pressure values obtained by the existing methods are affected by various factors, resulting in inaccurate pressure differences, and thus the operating status of the dust removal system cannot be accurately determined. Summary of the Invention

[0004] Embodiments of this application provide a method, device, equipment, computer-readable storage medium and program product for monitoring the operating status of a dust removal system, which can accurately determine the pressure difference between the inlet and outlet of the filtering device in the dust removal system, and then can accurately determine the operating status of the filtering device in the dust removal system based on the pressure difference value.

[0005] On the one hand, an embodiment of the present application provides a method for monitoring the operating condition of a dust removal system. The method includes: obtaining a first current negative pressure value on the inlet side of a filtering device in the dust removal system and a second current negative pressure value on the outlet side of the filtering 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 after calibration, wherein the calibration coefficient is obtained according to the compensated negative pressure values obtained at multiple operating frequencies and the absolute negative pressure values at the multiple operating frequencies; using the first calibrated negative pressure value and the second calibrated negative pressure value to determine the pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value; using the pressure difference, a blockage comparison value, a damage preset lower limit value and a damage preset upper limit value to determine the operating condition of the filtering device in the dust removal system.

[0006] Optionally, 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 includes: performing zero position 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, 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 after calibration includes: respectively obtaining a plurality of first negative pressure values and a plurality of second negative pressure values of a blower in the dust removal system at multiple operating frequencies, wherein the plurality of first negative pressure values are the negative pressure values on the inlet side of the filtering device, and the plurality of second negative pressure values are the negative pressure values on the outlet side of the filtering device; performing zero position compensation and / or range compensation 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; respectively obtaining a plurality of first absolute negative pressure values and a plurality of second absolute negative pressure values of the blower in the dust removal system at the multiple operating frequencies; using the plurality of first compensated negative pressure values and the plurality of first absolute negative pressure values to obtain a first calibration coefficient, and using the first calibration coefficient to calibrate the first current compensated negative pressure value to obtain the first calibrated negative pressure value; using the plurality of second compensated negative pressure values and the plurality of second absolute negative pressure values to obtain a second calibration coefficient, and using the second calibration coefficient to calibrate the second current compensated negative pressure value to obtain the second calibrated negative pressure value.

[0008] Optionally, using the pressure difference value, determine the operating condition of the filter device in the dust removal system, including at least one of the following steps: using a failure database and the pressure difference value, determine that the operating condition of the filter device in the dust removal system is blocked or damaged, where the failure database is constructed based on a plurality of historical pressure difference values and the damage label or blockage label when the plurality of historical operating conditions are damaged or blocked; or, when the pressure difference value is greater than or equal to the blockage comparison value and lasts for a first preset time, determine that the operating condition of the filter device in the dust removal system is blocked; when the pressure difference value is greater than or equal to the lower limit value of damage and less than or equal to the upper limit value of damage, and lasts for a second preset time, determine that the operating condition of the filter device in the dust removal system is damaged; when the pressure difference value is greater than the upper limit value of damage and less than the blockage comparison value, determine that the operating condition of the filter device in the dust removal system is normal.

[0009] Optionally, constructing the failure database includes: obtaining a first historical calibrated negative pressure value and a second historical calibrated negative pressure value when a plurality of the historical operating conditions are blocked, to obtain a plurality of historical pressure difference values corresponding to the blockage; obtaining a first historical calibrated negative pressure value and a second historical calibrated negative pressure value when a plurality of the historical operating conditions are damaged, to obtain a plurality of historical pressure difference values corresponding to the damage; respectively performing feature extraction on the plurality of historical pressure difference values corresponding to the blockage and the plurality of historical pressure difference values corresponding to the damage, to obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage; labeling the plurality of historical pressure difference values with a blockage label for the historical operating conditions that are blocked, and labeling the plurality of historical pressure difference values with a damage label for the historical operating conditions that are damaged; constructing a failure feature database according to 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: when the operating condition of the filter device in the dust removal system is blocked, sending a first-level alarm signal; when the operating condition of the filter device in the dust removal system is damaged, sending a second-level alarm signal and stopping the dust removal system, where the urgency of the second-level alarm signal is greater than that of the first-level alarm signal.

[0011] Optionally, the method further includes: dividing a data register into a cyclic storage buffer, a fault data buffer, and a historical data buffer; storing the first calibrated negative pressure value and the second calibrated negative pressure value in the cyclic storage buffer at a preset time interval through a block transfer instruction; storing the first calibrated negative pressure value corresponding to the current operating condition of blockage or breakage and the second calibrated negative pressure value in the fault data buffer; storing the first historical calibrated negative pressure value and the second historical calibrated negative pressure value when the historical operating condition is blockage or breakage in the historical data buffer in a first-in, first-out queue manner, where the first historical calibrated negative pressure value and the second historical calibrated negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and breakage.

[0012] Optionally, the blockage comparison value is determined according to the following formula: where represents the blockage comparison value, represents a preset blockage pressure difference value, represents a preset percentage.

[0013] On the other hand, an embodiment of the present application provides a device for monitoring the operating condition of a dust removal system. The device includes: a first acquisition device for acquiring a first current negative pressure value on the air inlet side of a filtering device in the dust removal system and a second current negative pressure value on the air outlet side of the filtering device; a calibration device for respectively compensating the first current negative pressure value and the second current negative pressure value to obtain a first current compensated negative pressure value and a second current compensated negative pressure value; a second acquisition device for respectively calibrating the first current compensated negative pressure value and the second current compensated negative pressure value by using a calibration coefficient to obtain a calibrated first calibrated negative pressure value and a second calibrated negative pressure value, where the calibration coefficient is obtained according to 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 a pressure difference 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 a second determination device for determining the operating condition of the filtering device in the dust removal system by using the pressure difference.

[0014] In yet another aspect, an embodiment of the present application provides an electronic device, where the device includes: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the method for monitoring the operating condition of a dust removal system as described in any one of the above is implemented.

[0015] In another aspect, an embodiment of the present application provides a computer storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method for monitoring the operation status of the dust removal system as described above is implemented.

[0016] In another aspect, an embodiment of the present application provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is caused to execute the method for monitoring the operation status of the dust removal system as described above.

[0017] The method, device, equipment, computer-readable storage medium and program product for monitoring the operation status of the dust removal system according to the embodiments of the present application include: obtaining a first current negative pressure value on the air inlet side of the filter device and a second current negative pressure value on the air outlet side of the filter device in the dust removal system. The pressure difference between the air inlet side and the air outlet side of the filter device can be used to judge the operation status of the filter device. However, the directly measured pressure value by the sensor is affected by environmental factors and the error of the sensor itself, etc., resulting in inaccurate pressure difference calculated by directly using the measured negative pressure value, and thus the current operation status of the filter device cannot be accurately determined. Therefore, in order to eliminate these errors, the present invention compensates the obtained 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 after compensation; then, calibration coefficients are obtained by using the compensated negative pressure values obtained at multiple working frequencies and the absolute negative pressure values at the multiple working frequencies, and the first current compensated negative pressure value and the second current compensated negative pressure value are calibrated respectively by using the calibration coefficients to obtain a first calibrated negative pressure value and a second calibrated negative pressure value after calibration. The accuracy of the negative pressure value is improved after compensation and calibration; then, the pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value is obtained, and the operation status of the filter device in the dust removal system is determined based on the obtained pressure difference. 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 operation status of the filter device in the dust removal system according to the pressure difference. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.

[0019] Figure 1 is a flowchart of the method for monitoring the operation status of the dust removal system provided by an embodiment of the present application; Figure 2 is an overall structure diagram of the dust collection tank provided by an embodiment of the present application; Figure 3 It is a schematic diagram of an alarm process provided by an embodiment of the present application; Figure 4 It is a schematic structural diagram of a device for monitoring the operating status of a dust removal system provided by another embodiment of the present application; Figure 5 It is a schematic structural diagram of an electronic device provided by yet another embodiment of the present application.

[0020] Explanation of Reference Numerals 101 Lower tank of the dust collection tank 102 Air inlet 103 Upper tank of the dust collection tank 104 Air outlet 105 Flange 106 Filter device 107 First pressure sensor 108 Second pressure sensor 109 Digital display 401 First acquisition device 402 Compensation device 403 Second acquisition device 404 First determination device · 405 Second determination device 301 Processor 302 Memory 303 Communication interface 310 Bus Detailed implementation manners The features and exemplary embodiments of various aspects of the present application will be described in detail below. To make the objectives, technical solutions, and advantages of the present application clearer, the present 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 the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present application by showing examples of the present application.

[0021] It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, elements defined by the statement "comprising..." do not exclude the presence of additional identical elements in the process, method, article or device comprising the said elements.

[0022] In the fields of industrial production, commercial operation, and large public facilities, the central dust removal system is a key device for ensuring environmental cleanliness and preventing dust pollution. Its stable operation is crucial for ensuring production safety, maintaining personnel health, and improving production efficiency.

[0023] In the central dust removal system, the operating condition of the filtration device (such as filter bags and filter elements) is closely related to the pressure difference. The lack of a pressure difference monitoring function makes it difficult to accurately judge the actual working condition of the filtration device. Although conventional methods use automated pressure detection equipment, some can only measure a single pressure point and cannot obtain the pressure difference data between different regions in the dust collection tank. When using a single pressure point for measurement, when the filter bag or filter element is blocked, the system pressure distribution will change, and the single pressure point measurement cannot effectively capture this change trend, resulting in a large amount of dust continuously accumulating on the filtration device, increasing the operating resistance of the equipment, and reducing the dust removal efficiency. In this state for a long time, the energy consumption of the equipment increases significantly, and mechanical failures may even be caused by excessive local pressure, shortening the service life of the equipment, increasing maintenance costs, and downtime.

[0024] Based on the drawbacks of single-point pressure measurement, the conventional method directly calculates the pressure difference using the negative pressure values measured at the inlet and outlet of the dust removal system, and then determines the operating condition of the dust removal system using the pressure difference value. However, the negative pressure values obtained in this way are affected by various factors, resulting in inaccurate pressure difference values, and thus unable to accurately determine the operating condition of the dust removal system.

[0025] To solve the problems of the existing technology, the embodiments of the present application provide a method, device, equipment, computer-readable storage medium, and program product for monitoring the operating condition of a dust removal system. First, the method for monitoring the operating condition of a dust removal system provided by the embodiments of the present application will be introduced below.

[0026] Figure 1 The flowchart of the method for monitoring the operating condition of a dust removal system provided by an embodiment of the present application is shown. As Figure 1 shown, the method for monitoring the operating condition of a dust removal system includes steps S10 - S14.

[0027] In step S10, obtain the first current negative pressure value on the air inlet side of the filtration device in the dust removal system and the second current negative pressure value on the air outlet side of the filtration device.

[0028] The industrial dust collection system includes a dust collection tank, a fan, etc. The dust collection tank is divided into 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 tank and the lower tank is a filtering device (such as filter bags, filter elements, etc. A filter bag is a filtering element made of fibrous filtering material for separating dust particles in the dust-containing gas). The dust collection tank is mainly used to centrally collect the dust inhaled at the end of the pipeline and uniformly collect the dust into the dust collection bag. The fan is responsible for providing air flow power in the system to form a negative pressure environment. When the fan starts, it generates suction in the dust collection tank, forcing the dust-containing gas to be sucked into the filtering device from the air inlet of the lower tank. After filtering the dust-containing gas, it is discharged from the air outlet side of the filtering device (i.e., the air outlet of the dust collection tank), and then the dust adheres to the filtering device to achieve the effect of dust removal.

[0029] Exemplarily, such as Figure 2 is the overall structure diagram of a dust collection tank provided by the present application. An air inlet 102 is provided in the lower tank 101 of the dust collection tank, an air outlet 104 is provided in the upper tank 103 of the dust collection tank, and a filtering device 106 is installed between the lower tank 101 and the upper tank 103 of the dust collection tank through a flange 105 via a keel frame (not shown in the figure). A first pressure sensor 107 is installed on the air inlet side of the filtering device 106 (i.e., the position close to the lower tank 101), and a second pressure sensor 108 is installed on the air outlet side of the filtering device 106 (i.e., the position close to the upper tank 103 of the dust collection tank).

[0030] In order to reduce the influence that the first pressure sensor 107 and the second pressure sensor 108 are far away from the filtering device 106, resulting in a large difference in the measured negative pressure values themselves. In the embodiment of the present application, the first pressure sensor 107 and the second pressure sensor 108 are respectively installed at positions on both sides close to the filtering device 106. For example, the first pressure sensor 107 and the second pressure sensor 108 are symmetrically installed on both sides of the filtering device 106. The first pressure sensor 107 is installed at a position 2-5 cm away from one end of the filtering device 106 on the air inlet side of the filtering device 106, and the second pressure sensor 108 is installed at a position 2-5 cm away from the other end of the filtering device 106 on the air outlet side of the filtering device 106. Further, in order to reduce the interference of dust on the measurement of the pressure sensor, 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 Figure 2 shown, and are connected to the inside of the dust collection tank through a connecting pipe.

[0031] ]>The first current negative pressure value is obtained by the first pressure sensor 107 detecting the negative pressure value on the air inlet side of the filtering device 106 in real time; the second current negative pressure value is obtained by the second pressure sensor 108 detecting the negative pressure value on the air outlet side of the filtering device 106.

[0032] In step S11, the first current negative pressure value and the second current negative pressure value are respectively compensated to obtain a first current compensated negative pressure value and a second current compensated negative pressure value.

[0033] Due to the influence of temperature change on the pressure sensor, the output value (zero point) of the sensor output and the span of the output signal change, resulting in the drift of the measured pressure value. In order to obtain an accurate negative pressure value, it is first necessary to compensate the first current negative pressure value and the second current negative pressure value.

[0034] In some embodiments, 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 includes: respectively performing zero point compensation and / or range compensation on the first current negative pressure value and the second current negative pressure value to obtain the first current compensated negative pressure value and the second current compensated negative pressure value.

[0035] The measured value of the sensor is affected by environmental temperature changes, which are mainly reflected in two aspects: zero point temperature effect and range temperature effect. Zero point temperature effect: It means that when the actual pressure applied to the sensor is zero (i.e., no pressure), the temperature change causes the drift of the sensor output value (zero point). Range temperature effect: It means that when a fixed full-scale pressure is applied to the sensor, the temperature change causes the change of the span (sensitivity) of the sensor output signal.

[0036] Exemplarily, for the zero point temperature effect of the sensor: when the pressure unit is bar, it is less than ±0.015%fs / K, which means that for every 1 Kelvin (or 1 degree Celsius) change in the environmental temperature, the output value of the sensor under zero pressure may drift in the positive or negative direction by a maximum of 0.015% of the full-scale value (fs) of the sensor. Range temperature effect: when the pressure unit is bar, it is less than ±0.015%fs / K, that is, for every 1 Kelvin (or 1 degree Celsius) change in the environmental temperature, the change amount of the output value of the sensor under full-scale pressure relative to its zero point output value may reach ±0.015% of the full-scale value (fs) of the sensor. Therefore, it is necessary to perform zero point compensation and / or range compensation on the first current negative pressure value and the second current negative pressure value respectively. When the rising temperature difference is △T, the zero point compensation when converted to the pressure unit of Pa is For: , Range compensation For: Preferably, zero - point compensation and range compensation are respectively performed on both the first current negative pressure value and the second current negative pressure value. The obtained pressure value is more accurate than the pressure value obtained by only performing zero - point compensation or range compensation. For example, when zero - point compensation and range compensation are respectively performed on both the first current negative pressure value and the second current negative pressure value, the expression of the obtained pressure compensation value is: Among them, represents the current pressure value actually measured by the pressure sensor, represents the compensated pressure value.

[0037] In the embodiment of the present application, considering the influence of temperature on the sensor, by performing zero - point compensation and range compensation on the currently detected negative pressure value in real - time, a higher - accuracy first current compensated negative pressure value and a second current compensated negative pressure value are obtained, improving the accuracy of the measured negative pressure value.

[0038] In step S12, the calibration coefficient is used to calibrate the first current compensated negative pressure value and the second current compensated negative pressure value respectively, to obtain a calibrated first calibrated negative pressure value and a second calibrated negative pressure value.

[0039] Among them, the calibration coefficient is obtained based on the compensated negative pressure values obtained at multiple operating frequencies and the absolute negative pressure values at the multiple operating frequencies.

[0040] Zero - point compensation and range compensation can only solve the drift caused by temperature changes. However, 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 supply fluctuations, etc. 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. The specific calibration method can refer to the following steps S121 - S125.

[0041] In some embodiments, using the calibration coefficient to calibrate the first current compensated negative pressure value and the second current compensated negative pressure value respectively, to obtain a calibrated first calibrated negative pressure value and a second calibrated negative pressure value, includes steps S121 - S125.

[0042] 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 respectively obtained.

[0043] Among them, the multiple first negative pressure values are the negative pressure values on the air - inlet side of the filtering device, and the multiple second negative pressure values are the negative pressure values on the air - outlet side of the filtering device.

[0044] In the dust removal system, the fan is used to provide air - flow power to form a negative - pressure environment. The higher the operating frequency of the fan, the faster the rotation speed, and the greater the negative pressure generated; conversely, the smaller the negative pressure generated.

[0045] Exemplarily, in the embodiments of the present application, the working frequency of the fan is changed by experimental means to obtain a plurality of first negative pressure values and a plurality of second negative pressure values. For example, the working frequencies are 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz, etc., and correspondingly, 5 (or more) first negative pressure values on the air inlet side of the filter device and 5 second negative pressure values on the air outlet side of the filter device are obtained.

[0046] In step S122, zero point compensation and / or range compensation are respectively performed on the plurality of first negative pressure values and the plurality of second negative pressure values to obtain a plurality of first compensated negative pressure values and a plurality of second compensated negative pressure values.

[0047] Exemplarily, similarly, zero point compensation and / or range compensation are respectively performed on the obtained plurality of first negative pressure values and the plurality of second negative pressure values, and 5 first compensated negative pressure values and 5 second compensated negative pressure values are correspondingly obtained. The compensation method is the same as that in step S11 of the above embodiment, and will not be elaborated here.

[0048] In step S123, 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 plurality of working frequencies are respectively obtained.

[0049] Absolute pressure refers to the pressure value measured relative to absolute vacuum (the pressure in a space completely free of gas molecules). It is a measure of the real pressure of a fluid or gas and can usually be measured by a digital display meter.

[0050] The pressure value measured by the pressure sensor is relative pressure. However, the pressure sensor is affected by mechanical stress, sensor aging, hysteresis effect, power supply fluctuation, etc., resulting in inaccurate measured pressure values. Therefore, the measured values of the absolute pressure sensor measured by the digital display meter are usually used for calibration to obtain more accurate pressure values.

[0051] Exemplarily, as Figure 2 shown, at the positions of the first pressure sensor 107 and the second pressure sensor 108, 5 first absolute negative pressure values and 5 second absolute negative pressure values are obtained by using a digital display meter 109 (either one digital display meter can be used to measure the absolute pressures at two positions respectively, or two digital display meters can be used to measure the absolute pressures at two positions simultaneously) at the same fan working frequencies such as 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz. The multiple working frequencies of the compensated negative pressure values and the absolute negative pressure values obtained in the embodiments of the present application are the same, that is, it is ensured that the compensated negative pressure values and the absolute negative pressure values are obtained at the same working frequency.

[0052] The digital display has the advantages of high precision, complete functions, fast speed, strong anti-interference ability, etc. It is small in size, low in power consumption, and intuitive in reading, and can be used to calibrate the compensated negative pressure value of the pressure sensor. At the same time, the accuracy of the absolute pressure digital display is higher than that of the used pressure sensor.

[0053] In step S124, using the plurality of first compensated negative pressure values and the plurality of first absolute negative pressure values, a first calibration coefficient is obtained, and the first current compensated negative pressure value is calibrated using the first calibration coefficient to obtain the first calibrated negative pressure value.

[0054] Exemplarily, since both the obtained absolute negative pressure value and the first compensated negative pressure value are proportional to the working frequency of the fan, there is also a linear relationship between the corresponding obtained absolute negative pressure value and the first compensated negative pressure value. To obtain the calibration coefficient, linear fitting can be performed using the plurality of first compensated negative pressure values and the corresponding plurality of absolute negative pressure values.

[0055] Specific fitting methods can include robust regression, least squares method, regularization regression, quantile regression, etc. The least squares method has the advantages of simplicity and high efficiency compared with other methods. In the embodiments of the present application, the least squares method is preferably used to calculate the coefficients and intercepts of the linear regression equation. According to the expression of the first current compensated negative pressure value obtained: where i represents the i-th first pressure value obtained; n represents the total number of the obtained first pressure values. For example, in the embodiments of the present application, n = 5; represents the i-th first current compensated negative pressure value, represents the i-th first current negative pressure value, which represents the actually measured negative pressure value; represents the range compensation, represents the zero position compensation; the calculations of the range compensation and the zero position compensation are the same as those in step S11 above, and will not be elaborated here. Based on the obtained plurality of first current compensated negative pressure values and the absolute pressure values , the slope and the intercept of the linear equation are calculated using the following formula: After calculating the coefficients and intercepts according to the above formula, the fitted D will be substituted into this equation to obtain the first calibrated negative pressure value y1, where the first calibration coefficient is , .

[0056] Traditional pressure detection is affected by sensor accuracy and environmental interference, equipment wear, and inaccurate data. In the embodiments of the present application, a high-precision negative pressure gauge is used to synchronously collect negative pressure data at multiple operating frequencies of the fan. Through processing such as the least squares method in the embodiments of the present application, the regression line constant term calibration parameter is compared, and the pressure indication is calibrated in real time, with the data accuracy improved by more than 85%.

[0057] The embodiments of the present application have a unique calibration mechanism to ensure the accuracy of pressure detection data and effectively improve the performance of the entire monitoring system.

[0058] In step S125, using the multiple second compensated negative pressure values and the multiple second absolute negative pressure values, a second calibration coefficient is obtained, and the second current compensated negative pressure value is calibrated using the second calibration coefficient to obtain the second calibrated negative pressure value.

[0059] Exemplarily, in the same principle as the above step S12, according to the multiple second compensated negative pressure values and the corresponding multiple second absolute negative pressure values, the slope and the intercept can be calculated, and further the fitted equation is obtained. Then, the second calibrated negative pressure value y2 can be obtained, and the corresponding second calibration coefficient is .

[0060] In addition, the embodiments of the present application can also calibrate the obtained first current negative pressure value and second current negative pressure value first and then perform compensation. The inventor found through research that the accuracy of the negative pressure value finally obtained by performing compensation first and then calibration is higher than that of performing calibration first and then compensation. Therefore, the embodiments of the present application preferably perform compensation first and then calibrate the compensated negative pressure value using the calibration coefficient.

[0061] The embodiments of the present application consider 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 supply 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.

[0062] In step S13, using the first calibrated negative pressure value and the second calibrated negative pressure value, the pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value is determined.

[0063] Subtract the first calibrated negative pressure value from the second calibrated negative pressure value to obtain the corresponding pressure difference. Based on the corresponding pressure difference, compared with the traditional single-point pressure detection, it can more comprehensively and accurately reflect the operating condition of the filter device in the dust removal system.

[0064] In step S14, using the pressure difference, the operating condition of the filter device in the dust removal system is determined.

[0065] The pressure difference value in step S14 is obtained by subtracting the second calibrated negative pressure value from the first calibrated negative pressure value in the above step S13. Among them, the first calibrated negative pressure value is obtained after compensating and calibrating the first current negative pressure value successively, and the second calibrated negative pressure value is obtained after compensating and calibrating the second current negative pressure value successively.

[0066] By obtaining the first calibrated negative pressure value, the second calibrated negative pressure value and the corresponding pressure difference value in real time in the embodiments of the present application, abnormal conditions of the filtering device can be found in the first time. For example, in the initial stage of filter bag blockage, it is difficult to detect in the traditional technology. This method relies on a sharp increase in pressure difference and gives an early warning within a few seconds. The abnormal discovery time can be advanced by at least 70%, avoiding the dust removal efficiency from decreasing by more than 50%, and ensuring the production environment.

[0067] In some embodiments, the operating condition of the filtering device in the dust removal system is determined by using the pressure difference value, including at least one of the following steps S141 - S144.

[0068] In step S141, by using the fault database and the pressure difference value, it is determined that the operating condition of the filtering device in the dust removal system is blocked or damaged.

[0069] Among them, the fault database is constructed based on a plurality of historical pressure difference values and the damage label or blockage label when the historical operating conditions are damaged or blocked.

[0070] Before determining that the operating condition of the filtering device in the dust removal system is blocked or damaged by using the fault data, a fault database is first constructed by using a plurality of historical pressure difference values and the corresponding label data when the historical operating conditions are damaged or blocked. Specifically, the following steps S1411 - S1415 can be referred to.

[0071] In some embodiments, constructing the fault database includes the following steps S1411 - S1415.

[0072] In step S1411, a plurality of first historical calibrated negative pressure values and second historical calibrated negative pressure values when the historical operating conditions are blocked are obtained, and a plurality of historical pressure difference values corresponding to the blockage are obtained.

[0073] The first historical calibrated negative pressure value when blocked is obtained after compensating and calibrating the negative pressure value on the air inlet side of the filtering device when it is blocked in the same way. Its compensation method and calibration method are the same as those for obtaining the first calibrated negative pressure value, and can be specifically obtained according to the historical data recorded during the historical operation when blockage occurs.

[0074] 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 filtration device when it is blocked in the same manner. The compensation method and calibration method are the same as those for obtaining the second calibration negative pressure value, and can be specifically obtained according to the historical data recorded during blockage in the historical operation process. Exemplarily, the differences between the first historical calibration negative pressure value and the second historical calibration negative pressure value when the historical operating conditions are blockage are obtained, and multiple historical pressure differences during blockage are obtained. The number of historical data can be 100 groups, 200 groups, 1000 groups, etc., and the embodiments of the present application do not make specific limitations. Among them, the first historical calibration pressure difference refers to the negative pressure value on the air inlet side of the filtration device, and the second historical calibration pressure difference refers to the negative pressure value on the air outlet side of the filtration device.

[0075] In step S1412, the first historical calibration negative pressure value and the second historical calibration negative pressure value when the historical operating conditions are damage are obtained, and multiple historical pressure differences corresponding to the damage are obtained.

[0076] The first historical calibration negative pressure value during damage is obtained by compensating and calibrating the negative pressure value on the air inlet side of the filtration device when it is damaged in the same manner. The compensation method and calibration method are the same as those for obtaining the first calibration negative pressure value, and can be specifically obtained according to the historical data recorded during blockage in the historical operation process.

[0077] Similarly, the second historical calibration negative pressure value during damage is obtained by compensating and calibrating the negative pressure value on the air outlet side of the filtration device when it is damaged in the same manner. The compensation method and calibration method are the same as those for obtaining the second calibration negative pressure value, and can be specifically obtained according to the historical data recorded during damage in the historical operation process.

[0078] Exemplarily, similarly, multiple historical pressure differences when the historical operating conditions are damage are obtained. The number of historical data can be 100 groups, 200 groups, 500 groups, etc., and the embodiments of the present application do not make specific limitations. Generally, the pressure difference during damage is small.

[0079] In step S1413, feature extraction is respectively performed on the multiple historical pressure differences corresponding to the blockage and the multiple historical pressure differences corresponding to the damage, and a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage are obtained.

[0080] Exemplarily, for example, feature extraction is performed on the multiple historical pressure difference values corresponding to the blockages obtained in step S1411 and the multiple historical pressure difference values corresponding to the damages obtained in step S1412 respectively. Specifically, feature extraction can be performed by means of a convolutional neural network, an LSTM long short-term network memory model, etc., to obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage. The first feature vector and the second feature vector can specifically include at least the mean value, the standard deviation, the maximum value, and the minimum value.

[0081] In step S1414, blockage labels are assigned to the multiple historical pressure difference values with a historical operating condition of blockage, and damage labels are assigned to the multiple historical pressure difference values with a historical operating condition of damage.

[0082] Exemplarily, the method of assigning labels to the multiple historical difference values with a historical operating condition of blockage / damage can adopt the method of manual annotation, or the corresponding label data can be obtained by using a trained label generation model. For example, the first feature vector and the second feature vector are respectively input into the trained label generation model to obtain a blockage label corresponding to the blockage and a damage label corresponding to the damage.

[0083] Among them, the label generation model is trained based on a machine learning algorithm. In the embodiments of the present application, the label generation model can be a clustering model trained based on a clustering algorithm, a neural network model, a deep learning model, a convolutional neural network model, etc. Exemplarily, it can be Extreme Gradient Boosting (Xgboost), Convolutional Neural Networks (CNN), Recurrent Neural Network (RNN), Fully Convolutional Networks (FCN); it can also be a model such as a Long Short-Term Memory network model (LSTM), a Support Vector Machine (SVM), etc. One or more of them are not limited thereto.

[0084] In step S1415, a fault feature database is constructed according to 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.

[0085] The label generation model records the mapping relationship between the first feature vector and the blockage label information, and there is a corresponding mapping relationship between the second feature vector and the damage label.

[0086] In the embodiments of the present application, by obtaining the pressure difference values corresponding to multiple historical fault data and extracting features therefrom, the features of the fault type data can be accurately learned, and a mapping relationship is established between the fault data and the corresponding fault type labels. Finally, by using the constructed fault feature database and the obtained pressure difference values, it is possible to accurately identify whether there is damage or blockage in the filtering device of the current dust removal system, improving the accuracy of fault type identification.

[0087] Alternatively, in step S142, when the pressure difference value is greater than or equal to the blockage comparison value and lasts for the first preset time, it is determined that the operating condition of the filtering device in the dust removal system is blocked.

[0088] Exemplarily, when the pressure difference value is greater than or equal to the blockage comparison value and lasts for the first preset time (such as 300 s, 600 s, etc.), it is determined that the filtering device is blocked. By determining the operating condition of the filtering device as blocked when lasting for the preset time, misjudgment can be reduced.

[0089] Specifically, the PLC control system can be used to judge and set the continuous preset time. The 32-bit floating-point operation instruction is used to execute the formula of the blockage comparison value to prevent false alarms. The delay confirmation logic is added, and the power-on delay timer (TON) is started, and the preset trigger time (which can be manually set through D406) is set. During the timing period, the D20 > D400 is continuously monitored through the comparison instruction (CMP); if the preset time condition is met, the alarm relay is activated and the counter (C0) is triggered to count. Fault holding: The alarm state is maintained through the self-locking circuit (SET / RST) until manual reset (triggered by the rising edge of M500).

[0090] In some embodiments, the blockage comparison value is determined according to the following formula where, represents the blockage comparison value, represents the preset blockage pressure difference value, represents the preset percentage.

[0091] Exemplarily, the blockage comparison value is the threshold for judging whether there is blockage in the filtering device. Among them, the preset blockage pressure difference value is set according to actual needs, and the preset blockage pressure difference value can be specifically obtained through experiments or based on empirical values. For example, the preset blockage pressure difference value is 1600 pa. In the embodiments of the present application, a certain preset percentage margin (such as the preset percentage is 10%, 15%, etc. exceeding the preset blockage pressure difference value) is set on the basis of the preset blockage pressure difference value. By setting a certain margin, it is avoided to judge blockage once the preset blockage value is reached, appropriately reducing the downtime and economic losses.

[0092] In step S143, when the pressure difference value is greater than or equal to the lower limit value of the breakage preset and less than or equal to the upper limit value of the breakage preset, and lasts for the second preset time, it is determined that the operating condition of the filter device in the dust removal system is broken.

[0093] Exemplarily, when there is a breakage in the filter device, the pressure difference value is caused to be very small, so the gap between the lower limit value of the breakage preset and the upper limit value of the breakage preset is small. Considering that the pressure difference value when the device is not started is 0, in order to prevent misjudgment, in the embodiments of the present application, the lower limit value of the breakage preset is set to be greater than 0, such as 10 pa, 15 pa,... 100 pa, or any value between 10 pa and 100 pa; the upper limit value of the breakage preset is set to 50 pa, 100 pa, 200 pa or 300 pa, or any value between 50 pa and 300 pa. When the pressure difference value is greater than or equal to the lower limit value of the breakage preset and less than or equal to the upper limit value of the breakage preset, and lasts for the second preset time (such as lasting for 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), it is determined that the operating condition of the filter device is broken.

[0094] To determine the breakage condition, a delay confirmation logic can also be added. Start a power-on delay timer (TON) and preset the confirmation time (which can be manually set through D407); within the timing period, continuously monitor D401 (lower limit value of the breakage preset) ≤ D20 (pressure difference value) ≤ D402 (upper limit value of the breakage preset) through an interval comparison instruction; when the condition is satisfied, activate the alarm relay and trigger the counter (C0) to count.

[0095] In step S144, when the pressure difference value is greater than the upper limit value of the breakage and less than the blockage comparison value, it is determined that the operating condition of the filter device in the dust removal system is normal.

[0096] In the embodiments of the present application, by comparing with a pre-constructed fault feature database or using the pressure difference value, the blockage comparison value, the lower limit value of the breakage preset and the upper limit value of the breakage preset, the operating condition of the filter device in the dust removal system is judged, which improves the diversity of obtaining the operating condition of the filter device.

[0097] In some embodiments, the method further includes: when the operating condition of the filter device in the dust removal system is blocked, sending a first-level alarm signal; when the operating condition of the filter device in the dust removal system is broken, sending a second-level alarm signal and stopping the dust removal system, where the emergency level of the second-level alarm signal is greater than that of the first-level alarm signal.

[0098] In the embodiments of the present application, considering that breakage may damage the dust removal system while blockage will not damage the dust removal system but only affect the dust removal effect, the emergency level of breakage is set to be higher than that of blockage. For example, the first-level alarm signal for blockage is an audible and visual alarm once per second, and 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 removal system. As Figure 3 FIG. Figure 3 is a schematic diagram of the alarm process provided by the embodiments of the present application. The specific implementation methods of steps S30 - S33 can refer to the above steps S10 - S13, and will not be elaborated here.

[0099] In the embodiments of the present application, different alarm levels are set according to the emergency levels of fault types. The staff can determine the fault types of the filtering device and the emergency level of repair based on the alarm signals, which is convenient for timely repair and ensures the normal operation of the industrial dust removal device.

[0100] In some embodiments, the method further includes: dividing the data register into a cyclic storage buffer, a fault data buffer, and a historical data buffer; storing the first calibrated negative pressure value and the second calibrated negative pressure value in the cyclic storage buffer at a preset time interval through a block transfer instruction; storing the first calibrated negative pressure value and the second calibrated negative pressure value corresponding to the current operating condition of blockage or breakage in the fault data buffer; storing the first historical calibrated negative pressure value and the second historical calibrated negative pressure value in the historical data buffer in a first-in, first-out queue manner, where the first historical calibrated negative pressure value and the second historical calibrated negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and breakage.

[0101] Block Transfer Instructions are core operation instructions used for efficient batch data transfer in computer architectures or industrial control systems. Its core goal is to reduce the instruction overhead of single data transfer and significantly improve the data throughput efficiency between memory and I / O devices.

[0102] A first-in, first-out queue (i.e., FIFO) is a basic data structure that strictly follows the operation rule that the element added first is removed first.

[0103] A Sliding Window is a common data processing technology widely used in scenarios such as data stream analysis, network protocols (such as TCP), signal processing, and real-time systems. By efficiently managing the sliding window through pointer registers, memory access can be optimized, data copying can be reduced, and computing performance can be improved.

[0104] Pointer Registers are special registers in computer architecture used to store memory addresses or data pointers. Their core function is to efficiently access memory data, avoiding frequent calculation of address offsets, thereby improving the program execution speed.

[0105] The data ring structure (also known as a circular buffer) is an efficient storage scheme for managing continuous data streams. It enables copy-free overwrite writing and first-in-first-out (FIFO) reading of data through a storage space where the head and tail are connected and pointer cyclic movement.

[0106] Exemplarily, for the purpose of achieving efficient data storage in the embodiments of this application, the registers are divided into a cyclic storage buffer, a fault data buffer, and a historical data buffer. 32-bit double-word arithmetic instructions are used for data processing, and the calibrated negative pressure values and pressure difference values are batch stored in the corresponding data register area through block transfer instructions to construct a cyclic storage buffer.

[0107] Among them, efficient storage uses 32-bit double-word arithmetic. Compared with 64-bit, the precision is sufficient for use in most scenarios, and the hardware cost and power consumption are lower. At the same time, compared with 16-bit or 8-bit, the precision, efficiency, and compatibility are more balanced. Therefore, the embodiments of this application preferably use 32-bit double-word arithmetic instructions for data processing.

[0108] For the cyclic storage buffer, sliding window storage is implemented through pointer registers. For example, the first calibrated negative pressure value, the second calibrated negative pressure value, and the corresponding pressure difference value of the area are updated at preset time intervals (such as 50 ms, 100 ms, etc.). By caching data at preset time intervals, the data storage volume can be reduced and memory can be saved.

[0109] The embodiments of this application can be controlled by a PLC system. The physical quantities measured by the first pressure sensor 107 and the second pressure sensor 108 are converted into standard 4-20 mA current signals. Through 32-bit data block transfer instructions (DMOV), the original data in the analog cyclic storage buffer (starting address K0) is batch transferred to the register area starting from D1500 to complete signal acquisition initialization.

[0110] Read the current signal starting from the analog module buffer memory address K22 (which can be set according to actual needs), and write the data into the register group D1500 - D1505 (which can be set according to actual needs) through the block transfer instruction (BMOV). Use the integer - floating point conversion instruction (ITOF) to convert the integer data in D1500 into floating - point numbers and store them in D110. Perform the operations D110 ÷ K10 → D1520 (reduce the original digital quantity of the sensor by 10 times to adjust the numerical accuracy. If this value is directly used, subsequent division operations may cause accuracy loss), D1520÷K20000→D1540 (convert the normalized digital quantity into the standard pressure unit, and the conversion formula is: actual pressure value = digital quantity × range ÷ full - scale digital quantity), D1540×K100000 →D1560 (convert the pressure unit to Pa and extract the minimum value. The value stored in D1560 is the minimum pressure value within the current sampling period, which is used for subsequent negative pressure judgment). This process is the process of the PLC receiving the electrical signal output by the negative pressure sensor, converting it into a digital signal, and completing the engineering conversion of the physical quantity (negative pressure) through floating - point calculation.

[0111] For the fault data buffer, store the first calibrated negative pressure value and the second calibrated negative pressure value when the current operating condition is blocked or damaged into this area, which is used to obtain the corresponding alarm data from this fault data buffer.

[0112] For the historical data buffer, store the data corresponding to the historical operating conditions of being blocked or damaged in a data loop structure in a first - in - first - out queue manner. The historical data includes the timestamp, historical negative pressure value, and fault type respectively. For example, if a blockage or damage occurs in the middle of the night on a certain day, only by retrieving the relevant fault type can all the time points and relevant negative pressure values of the corresponding fault be retrieved, without having to search through the previous data curves. Through efficient continuous data storage, accurate judgment and rapid repair of equipment failures are realized.

[0113] The embodiment of the present application can also fit the historical operating condition data and the real - time negative pressure data to predict the change trend of equipment parameters. For example: by fitting the real - time pressure difference value with the abnormal data such as historical damage and blockage, it is used to predict future fault problems.

[0114] In terms of equipment operation and maintenance management, record the negative pressure value and pressure difference value generated during the operation of the dust removal system in a long - term and systematic manner. Equipment managers can deeply understand the operation rules of the dust removal system through historical data, and have corresponding data support during equipment maintenance and fault diagnosis, realizing efficient operation and maintenance management of the equipment.

[0115] In terms of equipment maintenance, traditional technology equipment lacks maintenance data, and troubleshooting is time-consuming and the solutions lack pertinence. This application integrates efficient storage and fully records the negative pressure, differential pressure, alarm threshold, and fault information of equipment operation throughout the cycle. With the help of the fault database, the fault location time is shortened by at least 60%, the repair time is shortened by 40%, and economic losses are reduced.

[0116] The high-efficient data storage architecture based on double-word registers in the embodiments of this application uses 32-bit double-word operation instructions for high-precision data processing. The operation results are batch stored in the data register area through block transfer instructions to construct a cyclic storage buffer. It integrates an efficient data storage function and can automatically and continuously record the negative pressure value, differential pressure value, alarm record, and detailed fault record during the operation of the equipment. These data provide a comprehensive and detailed reference basis for equipment operation management and maintenance work, realizing accurate prediction and rapid repair of equipment faults, and effectively reducing equipment efficiency decline, damage, etc. caused by blockage and damage of the filtration device, and improving the overall operation stability and reliability of the equipment.

[0117] Figure 4 The device for monitoring the operation status of the dust removal system provided by the embodiments of the present invention is shown. The device 40 for monitoring the operation status of the dust removal system includes: a first acquisition device 401 for acquiring a first current negative pressure value on the air inlet side of the filtration device in the dust removal system and a second current negative pressure value on the air outlet side of the filtration 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 a calibration coefficient to obtain a first calibrated negative pressure value and a second calibrated negative pressure value after calibration; wherein, the calibration coefficient is obtained based on the compensated negative pressure values acquired at multiple working frequencies and the absolute negative pressure values at the multiple working frequencies; a first determination device 404 for determining the differential pressure 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; a second determination device 405 for determining the operation status of the filtration device in the dust removal system using the differential pressure.

[0118] In some embodiments, the compensation 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 includes: performing zero 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.

[0119] 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 respectively by using a calibration coefficient to obtain a calibrated first calibrated negative pressure value and a second calibrated negative pressure value, including: respectively obtaining a plurality of first negative pressure values and a plurality of second negative pressure values of the fan in the dust removal system at a plurality of operating frequencies, where the plurality of first negative pressure values are the negative pressure values on the air inlet side of the filtering device, and the plurality of second negative pressure values are the negative pressure values on the air outlet side of the filtering device; performing zero point compensation and / or range compensation 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; respectively obtaining 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 plurality of operating frequencies; using the plurality of first compensated negative pressure values, the plurality of first absolute negative pressure values, and a first calibration coefficient to calibrate the first current compensated negative pressure value by using the first calibration coefficient to obtain the first calibrated negative pressure value; using the plurality of second compensated negative pressure values and the plurality of second absolute negative pressure values to obtain a second calibration coefficient, and calibrating the second current compensated negative pressure value by using the second calibration coefficient to obtain the second calibrated negative pressure value.

[0120] In some embodiments, determining the operating condition of the filtering device in the dust removal system by using the pressure difference value includes at least one of the following steps: using a fault database and the pressure difference value to determine that the operating condition of the filtering device in the dust removal system is blocked or damaged, where the fault database is constructed based on a plurality of historical pressure difference values and the damage label or blockage label when the plurality of historical operating conditions are damaged or blocked; Alternatively, when the pressure difference value is greater than or equal to a blockage comparison value and lasts for a preset time, it is determined that the operating condition of the filtering device in the dust removal system is blocked; When the pressure difference value is greater than or equal to a damage preset lower limit value and less than or equal to a damage preset upper limit value, it is determined that the operating condition of the filtering device in the dust removal system is damaged; when the pressure difference value is greater than the damage upper limit value and less than the blockage comparison value, it is determined that the operating condition of the filtering device in the dust removal system is normal.

[0121] In some embodiments, it further includes a construction device for constructing the fault database, including: obtaining the first historical calibrated negative pressure value and the second historical calibrated negative pressure value when the historical operating conditions are blocked, to obtain a plurality of historical pressure differences corresponding to the blockage; obtaining the first historical calibrated negative pressure value and the second historical calibrated negative pressure value when the historical operating conditions are damaged, to obtain a plurality of historical pressure differences corresponding to the damage; respectively performing feature extraction on the plurality of historical pressure differences corresponding to the blockage and the plurality of historical pressure differences corresponding to the damage, to obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage; labeling the plurality of historical pressure differences with a blockage label when the historical operating conditions are blocked, and labeling the plurality of historical pressure differences with a damage label when the historical operating conditions are damaged; constructing a fault feature database according to 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.

[0122] In some embodiments, the device further includes: a first-level alarm module and a second-level alarm module. The first-level alarm module is configured to send a first-level alarm signal when the operating condition of the filtering device in the dust removal system is blocked; the second-level alarm module is configured to send a second-level alarm signal and stop the dust removal system when the operating condition of the filtering device in the dust removal system is damaged, where the emergency level of the second-level alarm signal is greater than that of the first-level alarm signal.

[0123] In some embodiments, the device further includes: a partitioning module, a first storage module, a second storage module, and a third storage module; the partitioning module is configured to partition the data register into a cyclic storage buffer, a fault data buffer, and a historical data buffer; the first storage module is configured to store the first calibrated negative pressure value and the second calibrated negative pressure value in the cyclic storage buffer at a preset time interval through a block transfer instruction; the second storage module is configured to store the first calibrated negative pressure value and the second calibrated negative pressure value corresponding to the current operating condition being blocked or damaged in the fault data buffer; the third storage module is configured to store the first historical calibrated negative pressure value and the second historical calibrated negative pressure value when the historical operating condition is blocked or damaged in the historical data buffer in a first-in, first-out queue manner, where the first historical calibrated negative pressure value and the second historical calibrated negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and damage.

[0124] The implementation principle and the achieved technical effects of a device for monitoring the operating condition of a dust removal system provided by an embodiment of the present application are the same as those of the above method, and will not be elaborated herein.

[0125] Figure 5The figure shows a schematic diagram of the hardware structure of the electronic device provided by the embodiments of the present application.

[0126] In the electronic device, it may include a processor 301 and a memory 302 storing computer program instructions.

[0127] Specifically, the above-mentioned processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured as one or more integrated circuits for implementing the embodiments of the present application.

[0128] The memory 302 may include a mass storage for data or instructions. By way of example and not limitation, the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disc, a magneto-optical disc, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 302 may include a removable or non-removable (or fixed) medium. In a suitable case, the memory 302 may be internal or external to the integrated gateway disaster recovery device. In a specific embodiment, the memory 302 is a non-volatile solid state memory.

[0129] The memory may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical, or other physical / tangible memory storage device. Thus, generally, the 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 method according to an aspect of the present disclosure.

[0130] The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the methods for monitoring the operation status of the dust removal system in the above embodiments.

[0131] In an example, the electronic device may further include a communication interface 303 and a bus 310. Among them, as Figure 5 shown, the processor 301, the memory 302, and the communication interface 303 are connected through the bus 310 and complete communication with each other.

[0132] The communication interface 303 is mainly used to implement communication between the various modules, devices, units, and / or devices in the embodiments of the present application.

[0133] The bus 310 includes hardware, software, or both, and couples the components of the online data flow metering device to each other. By way of example and not limitation, 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), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand 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 bus or a combination of two or more of these. Where appropriate, the bus 310 may include one or more buses. Although the embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0134] The electronic device may execute the online data flow metering method in the embodiments of the present application based on the currently intercepted spam messages and the messages reported by the user, so as to implement the combination Figure 1 and Figure 2 the method for monitoring the operating condition of the dust removal system described.

[0135] In addition, in combination with the method for monitoring the operating condition of the dust removal system in the above embodiments, the embodiments of the present application may provide a computer storage medium to implement. Computer program instructions are stored on the computer storage medium; when the computer program instructions are executed by a processor, any one of the methods for monitoring the operating condition of the dust removal system in the above embodiments is implemented.

[0136] The embodiments of the present application also provide a computer program product, including a computer program, which when executed by a processor implements any one of the methods for monitoring the operating condition of the dust removal system in the above embodiments.

[0137] It should be clear that the present application is not limited to the specific configurations and processes described above and illustrated 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 illustrated as examples. However, the method process of the present application is not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions, or change the order between the steps after understanding the spirit of the present application.

[0138] The functional blocks shown in the above-described structural block diagrams can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application-specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, and so on. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium or transmitted via a data signal carried in a carrier wave over a transmission medium or a communication link. "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 discs, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, an intranet, and so on.

[0139] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be executed in the order mentioned in the embodiments, can be different from the order in the embodiments, or several steps can be executed simultaneously.

[0140] Aspects of the present disclosure have been described above with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block in the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts 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 device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the functions / actions specified in one or more blocks of the flowchart and / or block diagram. 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 diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can also be implemented by dedicated hardware performing the specified functions or actions, or by a combination of dedicated hardware and computer instructions.

[0141] As described above, this is only the specific implementation manner of the present application. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein. It should be understood that the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present application.

Claims

1. A method for monitoring the operating status of a dust removal system, characterized in that, Including: Obtaining a first current negative pressure value on the air inlet side of a filtering device in a dust removal system and a second current negative pressure value on the air outlet side of the filtering 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 calibrated 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 at multiple working frequencies and the absolute negative pressure values at the multiple working frequencies; Using the first calibrated negative pressure value and the second calibrated negative pressure value to determine a pressure difference between the first calibrated negative pressure value and the second calibrated negative pressure value; Using the pressure difference to determine the operating condition of the filtering device in the dust removal system.

2. The method according to claim 1, wherein 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, 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.

3. The method according to claim 1, characterized in that, 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 calibrated first calibrated negative pressure value and a second calibrated negative pressure value, including: Respectively obtaining a plurality of first negative pressure values and a plurality of second negative pressure values of a blower in the dust removal system at a plurality of working frequencies, wherein the plurality of first negative pressure values are negative pressure values on the air inlet side of the filtering device, and the plurality of second negative pressure values are negative pressure values on the air outlet side of the filtering device; Performing zero point compensation and / or range compensation 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; Respectively obtaining a plurality of first absolute negative pressure values and a plurality of second absolute negative pressure values of the blower in the dust removal system at the plurality of working frequencies; Using the plurality of first compensated negative pressure values and the plurality of first absolute negative pressure values to obtain a first calibration coefficient, and using the first calibration coefficient to calibrate the first current compensated negative pressure value to obtain the first calibrated negative pressure value; Using the plurality of second compensated negative pressure values and the plurality of second absolute negative pressure values to obtain a second calibration coefficient, and using the second calibration coefficient to calibrate the second current compensated negative pressure value to obtain the second calibrated negative pressure value.

4. The method according to claim 1, wherein Using the pressure difference to determine the operating condition of the filtering device in the dust removal system includes at least one of the following steps: Using a fault database and the pressure difference to determine that the operating condition of the filtering device in the dust removal system is blocked or damaged, wherein the fault database is constructed based on a plurality of historical pressure differences and damage labels or blockage labels when a plurality of historical operating conditions are damaged or blocked; When the pressure difference is greater than or equal to a blockage comparison value and lasts for a first preset time, determining that the operating condition of the filtering device in the dust removal system is blocked; When the pressure difference value is greater than or equal to the lower limit value of damage preset and less than or equal to the upper limit value of damage preset, and lasts for the second preset time, it is determined that the operating condition of the filter device in the dust removal system is damaged; When the pressure difference value is greater than the upper limit value of damage and less than the blockage comparison value, it is determined that the operating condition of the filter device in the dust removal system is normal.

5. The method according to claim 4, characterized in that, Construct the fault database, including: Obtain a plurality of first historical calibrated negative pressure values and second historical calibrated negative pressure values when the historical operating condition is blocked, and obtain a plurality of historical pressure difference values corresponding to the blockage; Obtain a plurality of first historical calibrated negative pressure values and second historical calibrated negative pressure values when the historical operating condition is damaged, and obtain a plurality of historical pressure difference values corresponding to the damage; Extract features from the plurality of historical pressure difference values corresponding to the blockage and the plurality of historical pressure difference values corresponding to the damage respectively, and obtain a first feature vector corresponding to the blockage and a second feature vector corresponding to the damage; Label the plurality of historical pressure difference values with a blockage label for the historical operating condition of blockage, and label the plurality of historical pressure difference values with a damage label for the historical operating condition of damage; Construct a fault feature database according to 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.

6. The method according to claim 4, wherein The method further includes: When the operating condition of the filter device in the dust removal system is blocked, send a first-level alarm signal; When the operating condition of the filter device in the dust removal system is damaged, send a second-level alarm signal and stop the dust removal system, where the emergency level of the second-level alarm signal is greater than that of the first-level alarm signal.

7. The method according to claim 4, wherein The method further includes: Divide the data register into a cyclic storage buffer, a fault data buffer, and a historical data buffer; Store the first calibrated negative pressure value and the second calibrated negative pressure value in the cyclic storage buffer at a preset time interval through a block transfer instruction; Store the first calibrated negative pressure value and the second calibrated negative pressure value corresponding to the current operating condition of blockage or damage in the fault data buffer; Store the first historical calibrated negative pressure value and the second historical calibrated negative pressure value when the historical operating condition is blockage or damage in the historical data buffer in a first-in, first-out queue manner, where the first historical calibrated negative pressure value and the second historical calibrated negative pressure value respectively include a timestamp, a historical negative pressure value, and a fault type, and the fault type includes blockage and damage.

8. The method according to claim 4, characterized in that, The blockage comparison value is determined according to the following formula: Among them, represents the blockage comparison value, represents the preset blockage pressure difference value, represents the preset percentage.

9. A device for monitoring the operating condition of a dust removal system, characterized in that, The device includes: A first acquisition device for acquiring a first current negative pressure value on the air inlet side of the 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 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, configured to calibrate the first current compensated negative pressure value and the second current compensated negative pressure value respectively by using a calibration coefficient, and obtain a calibrated 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 at multiple operating frequencies and the absolute negative pressure values at the multiple operating frequencies; A first determination device, configured to determine a pressure difference 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; A second determination device, configured to determine an operating condition of a filtering device in the dust removal system by using the pressure difference; 10. An electronic device, characterized in that, The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the method for monitoring the operating condition of a dust removal system according to any one of claims 1-8 is implemented; 11. A computer-readable storage medium, characterized in that, Computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, the method for monitoring the operating condition of a dust removal system according to any one of claims 1-8 is implemented; 12. A computer program product, characterized in that, When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is caused to execute the method for monitoring the operating condition of a dust removal system according to any one of claims 1-8;

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