Control method of dust remover and related equipment

Abstract

The invention discloses a control method of a dust remover and related equipment, and relates to the technical field of industrial dust removal, and the method comprises the following steps: obtaining current inlet and outlet pressure difference data and current inlet dust concentration data of the dust remover; based on the current inlet dust concentration data and a preset concentration threshold value, a target dust removal starting pressure difference threshold value is determined; when the current inlet and outlet pressure difference data is larger than the target ash removal starting pressure difference threshold value, the current injection parameter of the current ash removal operation is determined based on the target ash removal starting pressure difference threshold value and a preset ash removal stopping pressure difference threshold value; and based on the current blowing parameters, carrying out current dust removal operation on the dust remover to remove dust on the surface of the filter bag. The dust removal starting condition is adaptively adjusted according to the dust concentration fluctuation, invalid dust removal is avoided, meanwhile, the injection pressure and duration are optimized in real time based on the pressure difference, and on the premise of ensuring the dust removal effect, the injection energy consumption and the fan power consumption are effectively reduced, the service life of the filter bag is prolonged, and the running reliability of the dust remover is improved.

Description

Technical Field

[0001] The present application relates to the technical field of industrial dust removal, and in particular to a control method for a dust collector and related equipment. Background Art

[0002] Bag filters, key equipment for ultra-low fine particulate matter emissions control in industrial flue gas, face technical bottlenecks in their traditional operation. Traditional bag filters typically use a fixed-cycle cleaning mode, but lack real-time data support for frequency settings. This results in frequent, ineffective cleaning cycles, wasting energy and accelerating filter bag wear, significantly shortening equipment life. Therefore, a dust collector control method is urgently needed to address these technical issues. Summary of the Invention

[0003] The Summary of the Invention introduces a series of simplified concepts that will be further described in the Detailed Description of the Invention. The Summary of the Invention of this application is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] In a first aspect, the present application provides a dust collector control method, comprising:

[0005] Obtain the current inlet and outlet pressure difference data and the current inlet dust concentration data of the dust collector;

[0006] Determine the target cleaning start pressure difference threshold based on the current inlet dust concentration data and the preset concentration threshold;

[0007] When the current inlet and outlet pressure difference data is greater than the target cleaning start pressure difference threshold, the current blowing parameters of the current cleaning operation are determined based on the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold;

[0008] Based on the current blowing parameters, the dust collector is cleaned to remove dust from the surface of the filter bags.

[0009] In some embodiments, determining a target dust cleaning start pressure difference threshold based on current inlet dust concentration data and a preset concentration threshold includes:

[0010] When the current inlet dust concentration data is greater than the preset concentration threshold, the initial dust cleaning start differential pressure threshold is corrected based on the preset dust concentration compensation coefficient and the current inlet dust concentration data to generate a target dust cleaning start differential pressure threshold;

[0011] When the current inlet dust concentration data is less than or equal to the preset concentration threshold, the initial dust cleaning start-up pressure difference threshold is used as the target dust cleaning start-up pressure difference threshold.

[0012] In some embodiments, based on a preset dust concentration compensation coefficient and current inlet dust concentration data, the initial dust cleaning start pressure difference threshold is corrected to generate a target dust cleaning start pressure difference threshold, including:

[0013] The target cleaning start pressure difference threshold is calculated using the following formula:

[0014]

[0015] Where, ΔP max′ ΔP is the target cleaning start pressure difference threshold; max is the initial dust cleaning start-up pressure difference threshold; K is the preset dust concentration compensation coefficient; C(t) is the current inlet dust concentration data at the current time t; C max is the full-scale value of the dust concentration sensor; C0 is the preset concentration threshold.

[0016] In some embodiments, the current blowing parameters include the current blowing pressure and the current blowing duration. The current blowing parameters of the current cleaning operation are determined based on the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold, including:

[0017] Calculate the pressure difference deviation between the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold;

[0018] Determine the current blowing time of the current cleaning operation based on the pressure difference deviation and the preset blowing time correction coefficient;

[0019] Based on the pressure difference deviation and the preset blowing pressure correction coefficient, the current blowing pressure of the current cleaning operation is determined.

[0020] In some embodiments, determining the current blowing duration of the current cleaning operation based on the pressure difference deviation and a preset blowing duration correction coefficient includes:

[0021] The current blowing duration is calculated using the following formula:

[0022] T′=T+K T ×(ΔP max ′-ΔP min )÷100

[0023] Where, T' is the current blowing duration; T is the initial blowing duration; K T is the preset injection time correction coefficient; ΔP max ′-ΔP min is the pressure difference deviation; ΔP max ′ is the target cleaning start pressure difference threshold; ΔP min It is the preset pressure difference threshold for stopping cleaning.

[0024] In some embodiments, determining the current blowing pressure of the current cleaning operation based on the pressure difference deviation and a preset blowing pressure correction coefficient includes:

[0025] The current injection pressure is calculated using the following formula:

[0026] P′=P+K P ×(ΔP max ′-ΔP min )÷100

[0027] Where, P' is the current injection pressure; P is the initial injection pressure; K P is the preset injection pressure correction coefficient; ΔP max ′-ΔP min is the pressure difference deviation; ΔP max ′ is the target cleaning start pressure difference threshold; ΔP min It is the preset pressure difference threshold for stopping cleaning.

[0028] In some embodiments, further comprising:

[0029] After executing the current dust cleaning operation, the fan operating frequency of the dust collector is adjusted based on the stable state of the current inlet and outlet pressure difference data.

[0030] In a second aspect, the present application proposes a control device for a dust collector, comprising:

[0031] A dust removal parameter acquisition unit is used to obtain the current inlet and outlet pressure difference data and the current inlet dust concentration data of the dust collector;

[0032] A pressure difference threshold determination unit, which determines a target dust cleaning start pressure difference threshold based on current inlet dust concentration data and a preset concentration threshold;

[0033] A blowing parameter generating unit, configured to determine the current blowing parameters for the current cleaning operation based on the target cleaning start pressure differential threshold and the preset cleaning stop pressure differential threshold when the current inlet and outlet pressure differential data is greater than the target cleaning start pressure differential threshold;

[0034] The cleaning operation control unit performs the current cleaning operation on the dust collector based on the current blowing parameters to remove dust from the surface of the filter bag.

[0035] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the dust collector control method of any one of the first aspects when executing the computer program stored in the memory.

[0036] In a fourth aspect, the present application proposes a computer-readable storage medium storing a computer program, which implements the control method of the dust collector of any one of the first aspects when the computer program is executed by a processor.

[0037] In summary, this application obtains the current inlet and outlet pressure differential data and inlet dust concentration data of the dust collector, dynamically determines the target cleaning start pressure differential threshold based on the dust concentration, and accurately adjusts the injection parameters according to the pressure differential deviation to implement the cleaning operation, thereby achieving dynamic and intelligent control of the cleaning process. This application can adaptively adjust the cleaning start conditions according to dust concentration fluctuations to avoid ineffective cleaning. At the same time, it can optimize the injection pressure and duration in real time based on the pressure differential. Under the premise of ensuring the cleaning effect, it effectively reduces the injection energy consumption and fan power consumption, extends the service life of the filter bags, and improves the economy and reliability of the dust collector operation.

[0038] The control method of the dust collector proposed in this application, and other advantages, objectives and features of this application will be reflected in part through the following description, and in part will be understood by technical personnel in this field through research and practice of this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present description. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0040] Figure 1 A schematic flow chart of a control method for a dust collector provided in an embodiment of the present application;

[0041] Figure 2 A schematic diagram of the structure of a control device for a dust collector provided in an embodiment of the present application;

[0042] Figure 3 A schematic diagram of the control electronic device structure of a dust collector provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the embodiments described are only part of the embodiments of the present application, not all of the embodiments.

[0044] See also Figure 1 , which is a flow chart of a control method for a dust collector provided in an embodiment of the present application, may specifically include:

[0045] S110, obtaining current inlet and outlet pressure difference data and current inlet dust concentration data of the dust collector;

[0046] For example, in industrial dust removal systems, the pressure differential between the dust collector inlet and outlet and the dust concentration at the inlet are key parameters reflecting the dust accumulation status and dust loading of the filter bags. A differential pressure sensor is typically installed at the dust collector's inlet and outlet manifolds to monitor the pressure difference between the two sides of the filter bag in real time, which directly reflects the degree of dust accumulation on the bag surface. A dust concentration sensor, installed in the inlet duct, collects data on the current dust concentration entering the dust collector. These sensors interact with the controller through hardware circuitry, providing basic data support for the system's real-time operating status.

[0047] These sensors continuously collect analog signals based on physical sensing principles (such as the piezoresistive effect of differential pressure sensors and the optical scattering principle of dust concentration sensors). After analog-to-digital conversion, they are transmitted to a controller (such as a Siemens S7-1200 PLC). The controller filters the data to eliminate interference noise, ensuring the real-time and reliability of the acquired differential pressure data ΔP(t) and dust concentration data C(t). This provides accurate input for subsequent target cleaning threshold calculations and injection parameter control, forming a complete data acquisition chain from physical quantity perception to digital signal processing.

[0048] S120: Determine a target dust cleaning start pressure difference threshold based on current inlet dust concentration data and a preset concentration threshold;

[0049] For example, fluctuations in inlet dust concentration directly affect the dust accumulation rate on the filter bag surface. Traditional fixed-threshold cleaning startup strategies are difficult to adapt to dynamic changes in dust loads. Based on this, this application establishes a correlation mechanism between dust concentration and cleaning startup pressure difference, constructing a dynamic target threshold determination logic. When the inlet dust concentration is high, the dust deposition rate on the filter bag surface accelerates. If a fixed startup pressure difference is still used, it may cause cleaning delays or frequent ineffective cleaning. Therefore, the initial threshold needs to be adaptively corrected based on concentration data to match the actual dust accumulation status.

[0050] The specific implementation logic is divided into two levels: concentration determination and threshold generation. When the current inlet dust concentration exceeds the preset concentration threshold, the dust concentration compensation mechanism is triggered. The initial cleaning start differential pressure threshold is corrected based on the preset compensation coefficient to generate a target cleaning start differential pressure threshold that matches the current dust load. If the current concentration does not exceed the preset threshold, the initial cleaning start differential pressure threshold remains unchanged. By incorporating the dynamic parameter of dust concentration into the threshold decision-making system, this mechanism achieves real-time coupling of cleaning start conditions and dust load, avoiding the problem of inaccurate cleaning timing caused by fixed thresholds.

[0051] S130: When the current inlet and outlet pressure differential data is greater than the target cleaning start pressure differential threshold, determine the current injection parameters of the current cleaning operation based on the target cleaning start pressure differential threshold and the preset cleaning stop pressure differential threshold;

[0052] For example, when the pressure difference between the inlet and outlet of the dust collector exceeds the target cleaning start threshold, it indicates that the dust accumulation on the surface of the filter bag has reached a critical state requiring cleaning. At this time, the difference between the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold (i.e., the pressure difference deviation) directly reflects the severity of the dust accumulation in the filter bag. The larger the deviation, the more dust is deposited, and the blowing intensity required for cleaning should be increased accordingly; otherwise, the blowing intensity needs to be reduced to avoid energy waste caused by excessive cleaning. This pressure difference deviation serves as the core basis for the regulation of the blowing parameters, and constructs a quantitative correlation logic between the dust accumulation state of the filter bag and the cleaning execution parameters.

[0053] Based on this pressure differential deviation, the initial blowing parameters are dynamically adjusted using preset blowing duration and pressure correction coefficients. Using the deviation as an input variable, a linear correction model is used to adaptively adjust the blowing duration and pressure as the level of dust accumulation changes. For example, when the deviation is large, the blowing duration and pressure are proportionally increased to ensure effective cleaning. When the deviation is small, the blowing duration and pressure are correspondingly shortened, optimizing energy consumption while ensuring cleaning efficiency.

[0054] S140. Based on the current blowing parameters, perform a current cleaning operation on the dust collector to remove dust on the surface of the filter bag.

[0055] For example, after the current spray parameters are determined, the controller transmits instructions to the pulse cleaning valve group. By precisely controlling the pulse valve opening time and air pressure output, a high-pressure airflow is generated to spray the filter bags. The spray pressure determines the intensity of the airflow impacting the filter bags, while the spray duration controls the duration of the airflow. The two work together to cause dust accumulated on the filter bag surface to fall off under the combined effects of the airflow impact force and the bag deformation tension, falling into the ash hopper, completing the cleaning process. In this process, the precise execution of the spray parameters directly affects the cleaning efficiency and the stress state of the filter bags, and is a key physical link in ensuring the cleaning effect.

[0056] Cleaning operations based on dynamic injection parameters transcend the limitations of traditional fixed-parameter cleaning. When dust concentrations are high or pressure differentials deviate significantly, the system automatically increases the injection intensity to thoroughly remove accumulated dust. When dust loads are low, the injection intensity is reduced to minimize compressed air consumption and filter bag wear. This on-demand injection mechanism ensures that filter bag resistance remains within a reasonable range while avoiding energy waste and equipment wear caused by excessive cleaning, achieving the coordinated optimization of cleaning efficiency and energy conservation goals.

[0057] In summary, the embodiment of the present application optimizes the operating efficiency of the dust removal system through a dual-parameter dynamic collaborative control mechanism: the cleaning start pressure difference threshold is dynamically compensated based on the real-time dust concentration, and the trigger threshold is automatically lowered when the dust load is high to achieve early cleaning and avoid the pressure difference from rising out of control; when the dust load is low, a higher threshold is maintained to reduce ineffective blowing, thereby reducing compressed air energy consumption year-on-year and extending the service life of the filter bags; based on the real-time pressure difference deviation between the cleaning start threshold and the stop threshold, the optimal blowing pressure and duration are adaptively calculated, and the cleaning intensity is enhanced when the pressure difference deviation is large to ensure the dust stripping effect, and the cleaning intensity is weakened when the deviation is small to avoid filter bag damage; this collaborative control reduces the average operating pressure difference of the dust collector and reduces the pressure difference fluctuation amplitude, creating basic conditions for fan energy saving; the rapid and stable pressure difference after cleaning triggers the fan frequency progressive reduction mechanism, effectively reducing the blowing energy consumption and fan power consumption, reducing filter bag wear, and improving the economy and reliability of the dust collector operation.

[0058] In some examples, determining a target dust cleaning start pressure difference threshold based on current inlet dust concentration data and a preset concentration threshold includes:

[0059] When the current inlet dust concentration data is greater than the preset concentration threshold, the initial dust cleaning start differential pressure threshold is corrected based on the preset dust concentration compensation coefficient and the current inlet dust concentration data to generate a target dust cleaning start differential pressure threshold;

[0060] When the current inlet dust concentration data is less than or equal to the preset concentration threshold, the initial dust cleaning start-up pressure difference threshold is used as the target dust cleaning start-up pressure difference threshold.

[0061] For example, after the system obtains the current inlet dust concentration data, it first compares it in real time with a preset concentration threshold. This preset concentration threshold is a critical value pre-set based on dust collector design parameters and historical operating data, and is used to determine the dust load status. If the current inlet dust concentration data exceeds the preset concentration threshold, indicating that the dust load has entered a high concentration condition, the dust concentration compensation mechanism is triggered. Based on the preset dust concentration compensation coefficient and the current inlet dust concentration data, the initial cleaning startup differential pressure threshold is dynamically corrected. The relative percentage of the current concentration exceeding the preset threshold is calculated, normalized with the full-scale value of the dust concentration sensor, and then multiplied by the preset dust concentration compensation coefficient to generate a correction factor. Finally, the initial cleaning startup differential pressure threshold is subtracted from the correction factor to generate the target cleaning startup differential pressure threshold. If the current inlet dust concentration data is less than or equal to the preset concentration threshold, the dust load is determined to be low concentration, and the initial cleaning startup differential pressure threshold is directly used as the target value without correction. This process, through the dynamic coupling of dust concentration and differential pressure threshold, ensures that the cleaning trigger conditions match the actual dust load status.

[0062] The above logic realizes dynamic decision-making through two-level judgment, in which the first level classifies the concentration conditions (high load or low load), and the second level generates differentiated threshold strategies according to the classification. Under high-concentration conditions, the target cleaning start-up pressure difference threshold shows a linear downward trend with increasing concentration, so as to achieve early cleaning to prevent the pressure difference from rising out of control; under low-concentration conditions, a higher threshold is maintained to reduce the frequency of ineffective cleaning. This mechanism is to convert the real-time variable of dust concentration into a control parameter of the pressure difference threshold, breaking through the limitations of the fixed threshold mode. The preset dust concentration compensation coefficient is used as the key adjustment factor. Its value is determined by experimental calibration of the dust collector type, filter bag material and dust characteristics to ensure that the correction result meets the actual engineering needs.

[0063] In summary, the embodiment of the present application realizes the real-time coupling of the cleaning start condition and the dust load by incorporating the dynamic parameter of dust concentration into the decision-making system of the cleaning start threshold. When the dust concentration is high, the target cleaning start pressure difference threshold is automatically lowered to avoid the dust collector resistance exceeding the limit due to excessive dust accumulation, and at the same time prevent the increase in fan energy consumption caused by cleaning lag. When the dust concentration is low, the initial threshold is maintained to reduce the frequency of ineffective cleaning, reduce compressed air consumption and filter bag wear. The adaptive adjustment method can effectively solve the problem of high-frequency ineffective cleaning or cleaning lag under the traditional fixed threshold strategy. Under the premise of ensuring dust removal efficiency, the economy and reliability of system operation are improved, the service life of the filter bag is extended and the overall energy consumption is reduced.

[0064] In some examples, based on a preset dust concentration compensation coefficient and current inlet dust concentration data, the initial dust cleaning start differential pressure threshold is corrected to generate a target dust cleaning start differential pressure threshold, including:

[0065] The target cleaning start pressure difference threshold is calculated using the following formula:

[0066]

[0067] Where ΔP max ′ is the target cleaning start pressure difference threshold; ΔP max is the initial dust cleaning start-up pressure difference threshold; K is the preset dust concentration compensation coefficient; C(t) is the current inlet dust concentration data at the current time t; C max is the full-scale value of the dust concentration sensor; C0 is the preset concentration threshold.

[0068] For example, when the system determines that the current inlet dust concentration data C(t) is greater than the preset concentration threshold C0, the initial cleaning start pressure difference threshold ΔP is set based on the preset dust concentration compensation coefficient K and the current concentration data. max Correction is made and the target cleaning start pressure difference threshold ΔP is achieved through the above formula max′ The preset dust concentration compensation coefficient K is a fixed value calibrated according to the dust collector type, filter bag material and dust characteristics experiment (the value range is 0.1-0.2 and can be set to 0.15). It is used to quantify the correction strength of the dust concentration increase on the cleaning threshold and reflect the correlation between the concentration fluctuation and the threshold adjustment. The full scale value C of the dust concentration sensor max (e.g. 2000 mg / m 3 ) as the reference parameter for concentration data normalization; when calculating, first obtain the difference between the current concentration data C(t) and the preset concentration threshold C0, and divide the difference by the full scale value C max The difference between the concentration threshold C0 and the preset concentration threshold is used to obtain the normalized concentration deviation ratio, which is then multiplied by the dust concentration compensation coefficient K to generate the correction factor. The threshold adjustment coefficient is obtained by subtracting the correction factor from 1, and the initial cleaning start pressure difference threshold ΔP is finally set. max (e.g. 1200Pa) is multiplied by the adjustment coefficient to generate the target cleaning start pressure difference threshold ΔP that matches the current dust load. max ′. This formula uses a negative correction mechanism to make the target threshold decrease linearly with the increase of dust concentration (for example, when C(t) = 1500 mg / m 3 When ΔP max′ =1200×[1-0.15×(1500-800) / (2000-800)]=1096Pa), thereby triggering the cleaning program in advance, avoiding the problems of excessive dust accumulation in the filter bags and excessive resistance of the dust collector due to excessive dust concentration, and realizing dynamic matching of the cleaning start-up conditions and the dust load.

[0069] In some examples, the current blowing parameters include a current blowing pressure and a current blowing duration. The current blowing parameters of the current cleaning operation are determined based on a target cleaning start pressure differential threshold and a preset cleaning stop pressure differential threshold, including:

[0070] Calculate the pressure difference deviation between the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold;

[0071] Based on the pressure difference deviation and the preset blowing time correction factor, the current blowing time of the current cleaning operation is determined, including:

[0072] The current blowing duration is calculated using the following formula:

[0073] T′=T+KT×(ΔP max ′-ΔP min )÷100

[0074] Where, T' is the current blowing duration; T is the initial blowing duration; K T is the preset injection time correction coefficient; ΔP max ′-ΔP min is the pressure difference deviation; ΔP max ′ is the target cleaning start pressure difference threshold; ΔP min It is the preset pressure difference threshold for stopping cleaning.

[0075] Based on the pressure difference deviation and the preset blowing pressure correction factor, the current blowing pressure of the current cleaning operation is determined, including:

[0076] The current injection pressure is calculated using the following formula:

[0077] P′=P+K P ×(ΔP max ′-ΔP min )÷100

[0078] Where, P' is the current injection pressure; P is the initial injection pressure; K P is the preset injection pressure correction coefficient; ΔP max ′-ΔP min is the pressure difference deviation; ΔP max ′ is the target cleaning start pressure difference threshold; ΔP min It is the preset pressure difference threshold for stopping cleaning.

[0079] For example, when the target dust cleaning start pressure difference threshold ΔP max After ' is determined, first calculate the pressure difference threshold ΔP between it and the preset dust cleaning stop pressure min The pressure difference deviation ΔP max ′-ΔP min , where ΔP minIt is the lower limit of the filter bag resistance that needs to be maintained after cleaning (such as 800Pa calibrated based on the clean state of the filter bag), which represents the system's requirement for the basic permeability of the filter bag; ΔP max ' is the upper limit of the resistance that triggers cleaning under the current working conditions. The difference between the two directly quantifies the dust thickness on the filter bag surface. That is, the larger the deviation, the thicker the dust deposition and the higher the air permeability resistance of the filter bag. The greater the airflow impact intensity (pressure and duration) required for cleaning should be; otherwise, the impact intensity needs to be reduced to avoid energy waste and filter bag damage caused by excessive cleaning. This pressure difference deviation serves as the core input for the control of the injection parameters, establishing a correlation between the filter bag resistance state and the cleaning intensity requirement, providing a unified basis for the dynamic correction of the subsequent injection duration and pressure.

[0080] When calculating the current blowing time, the pressure difference deviation ΔP is introduced based on the initial blowing time (such as 0.2 seconds, which is the reference value calibrated based on the clean state of the filter bag). max ′-ΔP min As the core variable, it directly quantifies the dust thickness on the filter bag surface. The larger the difference, the thicker the dust accumulation, and the longer the blowing time is needed to ensure dust removal. The preset blowing time correction coefficient is set to 0.05, and the (ΔP max ′-ΔP min )÷100 to convert the pressure difference deviation, and then add it to the preset injection time correction coefficient K T Multiplying them together, we get the duration correction of 0.05×(1096-800) / 100. Finally, the initial blowing duration of 0.2s is added to the correction of 0.148s to generate the current blowing duration of 0.348s. The physical mechanism is that the filter bag with thick dust accumulation requires a longer period of continuous airflow impact, so that the dust layer is completely shed under the synergistic effect of the airflow force and the deformation of the filter bag; K T The calibration ensures that the time increment is accurately matched to the degree of dust accumulation, avoiding the problem of incomplete cleaning when the dust accumulation is thick or excessive blowing when the dust accumulation is thin at a fixed time.

[0081] The calculation of the current injection pressure follows the pressure difference correlation logic consistent with the duration, starting from the initial injection pressure (such as 0.3MPa, the reference pressure of standard working conditions), and is also based on the pressure difference deviation ΔP max ′-ΔP min Quantify the degree of dust accumulation. The preset injection pressure correction coefficient is set to 0.02, through (ΔP max ′-ΔP min)÷100 to convert the pressure differential deviation and multiply it by the preset injection pressure correction factor to obtain a pressure correction of 0.02×(1096-800) / 100. The initial pressure of 0.3 is added to the correction factor to generate the current injection pressure of 0.359 MPa. Higher injection pressures generate stronger airflow impact, causing the filter bags to expand instantly and vibrate at a higher frequency, more effectively removing thick dust layers. The preset injection pressure correction factor is calibrated to ensure that the pressure increase is appropriately matched to the level of dust accumulation, avoiding dust residue caused by low pressure while preventing filter bag damage or compressed air waste caused by high pressure, thus achieving a balance between cleaning intensity and energy consumption.

[0082] In summary, the embodiments of the present application use a collaborative mechanism that combines the quantification of pressure difference deviation with the dynamic adaptation of the blowing parameters. The blowing duration and pressure are adjusted in real time with the degree of dust accumulation in the filter bags. That is, when the dust accumulation is severe, the blowing intensity is increased to completely remove the dust and avoid resistance rebound caused by residual dust accumulation. When the dust accumulation is light, the blowing intensity is weakened to reduce compressed air consumption and mechanical impact on the filter bags. This strategy breaks through the limitations of traditional fixed blowing parameters. It not only ensures the long-term stable operation of the dust collector through precise dust cleaning, but also optimizes operating costs from the perspectives of energy consumption control and equipment loss, achieving a coordinated improvement in dust cleaning efficiency, energy saving goals, and equipment life, and providing technical support for the intelligent upgrade of industrial dust removal systems.

[0083] In some instances, this also includes:

[0084] After executing the current dust cleaning operation, the fan operating frequency of the dust collector is adjusted based on the stable state of the current inlet and outlet pressure difference data.

[0085] For example, after the dust cleaning operation is completed, it is determined whether the filter bag resistance has entered a stable state. If the stable pressure difference falls into the preset economic operation pressure difference range, the fan frequency reduction logic is triggered (the preset economic operation pressure difference range is calibrated based on the dust collector energy consumption model and dust removal efficiency requirements). The lower limit of the preset economic operation pressure difference range is the preset cleaning stop pressure difference threshold ΔP min +50, the upper limit of the pressure difference range is the target cleaning start pressure difference threshold ΔP max '-50; with a 5-minute adjustment cycle (to avoid system oscillations caused by frequent frequency fluctuations and ensure operational stability), the fan operating frequency is gradually reduced by 2Hz each time (this step size is calibrated through wind resistance and air volume coupling experiments to ensure the compatibility of the air volume reduction amplitude with the reduction in resistance after filter bag cleaning). At the same time, the system has a built-in safety frequency threshold (such as 30Hz, based on the fan's minimum air volume requirement and the dust collector's anti-blocking dust design, to ensure that the air volume is not lower than the minimum threshold for processing flue gas). When the frequency is lowered to above the safety threshold, the step-by-step reduction is continuously executed; if the frequency reaches the safety threshold, the adjustment is stopped and the current frequency is maintained.

[0086] In summary, the embodiment of the present application achieves progressive optimization of fan energy consumption through a step-by-step frequency reduction with a 5-minute cycle and a step size of 2Hz. Compared with fixed frequency operation, it avoids resistance rebound caused by a one-time large-scale frequency reduction (such as a sudden drop in frequency causing a sudden change in air volume, resulting in secondary dust accumulation in the filter bag or a sharp drop in dust removal efficiency). The setting of the safe frequency threshold provides a safety guarantee from the perspective of equipment operation, preventing faults such as fan surge and dust collector blockage caused by too low frequency, and ensuring long-term stable operation of the system. Ultimately, this strategy deeply couples the after-effects of cleaning with the energy consumption of the fan. On the premise of ensuring dust removal efficiency, it maximizes the energy-saving potential of the fan and comprehensively improves the energy efficiency and economy of the dust removal system.

[0087] See also Figure 2 , is a schematic structural diagram of a control device for a dust collector provided in an embodiment of the present application, comprising:

[0088] The dust removal parameter acquisition unit 21 is used to obtain the current inlet and outlet pressure difference data and the current inlet dust concentration data of the dust collector;

[0089] The pressure difference threshold determination unit 22 determines the target dust cleaning start pressure difference threshold based on the current inlet dust concentration data and the preset concentration threshold;

[0090] The blowing parameter generating unit 23 is configured to determine the current blowing parameters of the current cleaning operation based on the target cleaning start pressure differential threshold and the preset cleaning stop pressure differential threshold when the current inlet and outlet pressure differential data is greater than the target cleaning start pressure differential threshold;

[0091] The dust cleaning operation control unit 24 performs the current dust cleaning operation on the dust collector based on the current blowing parameters to remove dust on the surface of the filter bag.

[0092] See also Figure 3 An embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any method for controlling a dust collector are implemented.

[0093] Since the electronic device introduced in this embodiment is the equipment used to implement the control device of a dust collector in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application falls within the scope of protection to be protected by this application.

[0094] During the specific implementation process, when the computer program 311 is executed by the processor, any implementation method of the embodiments corresponding to the first aspect can be implemented.

[0095] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] Those skilled in the art will appreciate that embodiments of the present application may provide methods, systems, or computer program products. Thus, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media containing computer-readable program code.

[0097] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, 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, an embedded computer or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

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

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

[0100] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes Figure 1 The flowchart of a control method for a dust collector in the corresponding embodiment.

[0101] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless means. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium can be a magnetic medium, an optical medium or a semiconductor medium, etc.

[0102] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0103] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0104] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0105] In addition, the functional units in the various embodiments of the present application may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The above-mentioned integrated units may be implemented in the form of hardware and / or software functional units.

[0106] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a computer device to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk, or an optical disk.

[0107] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

[0108] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.

[0109] Obviously, those skilled in the art may make various changes to this specification without departing from the spirit and scope of this specification. Thus, if such changes to this specification fall within the scope of the claims and their equivalents, this specification is intended to include such changes.

Claims

1. A dust collector control method, characterized in that: include: Obtain the current inlet and outlet pressure difference data and the current inlet dust concentration data of the dust collector; Determining a target dust cleaning start pressure difference threshold based on the current inlet dust concentration data and a preset concentration threshold; When the current inlet and outlet pressure difference data is greater than the target cleaning start pressure difference threshold, determining the current blowing parameters of the current cleaning operation based on the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold; Based on the current blowing parameters, the dust collector is subjected to a current cleaning operation to remove dust on the surface of the filter bag.

2. The method according to claim 1, characterized in that The step of determining a target dust cleaning start pressure difference threshold based on the current inlet dust concentration data and a preset concentration threshold comprises: When the current inlet dust concentration data is greater than the preset concentration threshold, the initial dust cleaning start differential pressure threshold is corrected based on the preset dust concentration compensation coefficient and the current inlet dust concentration data to generate the target dust cleaning start differential pressure threshold; When the current inlet dust concentration data is less than or equal to the preset concentration threshold, the initial dust cleaning start-up pressure difference threshold is used as the target dust cleaning start-up pressure difference threshold.

3. The method according to claim 2, characterized in that The step of correcting the initial dust cleaning start pressure difference threshold based on the preset dust concentration compensation coefficient and the current inlet dust concentration data to generate the target dust cleaning start pressure difference threshold includes: The target dust cleaning start pressure difference threshold is calculated by the following formula: Where ΔP max′ The target dust removal start pressure difference threshold; ΔP max is the initial dust cleaning start-up pressure difference threshold; K is the preset dust concentration compensation coefficient; C(t) is the current inlet dust concentration data at the current time t; C max is the full-scale value of the dust concentration sensor; C0 is the preset concentration threshold.

4. The method according to claim 1, wherein The current blowing parameters include the current blowing pressure and the current blowing duration. The current blowing parameters of the current cleaning operation are determined based on the target cleaning start pressure difference threshold and the preset cleaning stop pressure difference threshold, including: Calculating a pressure difference deviation between the target dust cleaning start pressure difference threshold and the preset dust cleaning stop pressure difference threshold; Determining the current blowing duration of the current cleaning operation based on the pressure difference deviation and a preset blowing duration correction coefficient; The current blowing pressure of the current cleaning operation is determined based on the pressure difference deviation and a preset blowing pressure correction coefficient.

5. The method according to claim 4, characterized in that The determining of the current blowing duration of the current cleaning operation based on the pressure difference deviation and a preset blowing duration correction coefficient includes: The current blowing duration is calculated by the following formula: T′=T+K T ×(ΔP max ′-ΔP min )÷100 Where, T' is the current blowing duration; T is the initial blowing duration; K T is the preset blowing time correction coefficient; ΔP max ′-ΔP min is the pressure difference deviation; ΔP max ' is the target dust cleaning start pressure difference threshold; ΔP min is the preset dust cleaning stop pressure difference threshold.

6. The method according to claim 4, characterized in that The determining the current blowing pressure of the current cleaning operation based on the pressure difference deviation and a preset blowing pressure correction coefficient includes: The current blowing pressure is calculated by the following formula: P′=P+K P ×(ΔP max ′-ΔP min )÷100 Wherein, P' is the current blowing pressure; P is the initial blowing pressure; K P is the preset injection pressure correction coefficient; ΔP max ′-ΔP min is the pressure difference deviation; ΔP max ' is the target dust cleaning start pressure difference threshold; ΔP min is the preset dust cleaning stop pressure difference threshold.

7. The method according to claim 1, characterized in that Also includes: After executing the current dust cleaning operation, the fan operating frequency of the dust collector is adjusted based on the stable state of the current inlet and outlet pressure difference data.

8. A control device for a dust collector, characterized in that: include: A dust removal parameter acquisition unit is used to obtain the current inlet and outlet pressure difference data and the current inlet dust concentration data of the dust collector; a pressure difference threshold determination unit, which determines a target dust cleaning start pressure difference threshold based on the current inlet dust concentration data and a preset concentration threshold; a blowing parameter generating unit, configured to determine, when the current inlet and outlet pressure differential data is greater than the target cleaning start pressure differential threshold, a current blowing parameter for the current cleaning operation based on the target cleaning start pressure differential threshold and a preset cleaning stop pressure differential threshold; The dust cleaning operation control unit performs a current dust cleaning operation on the dust collector based on the current blowing parameters to remove dust from the surface of the filter bag.

9. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the dust collector control method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the control method of the dust collector according to any one of claims 1 to 7 is implemented.

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