A dust removal online monitoring control method based on an electromagnetic piston pulse valve

Abstract

This invention belongs to the field of dust removal control technology, specifically disclosing an online monitoring and control method for dust removal based on an electromagnetic piston pulse valve. By real-time sensing of the operating status of each independent filtration chamber within a single dust collector, and dynamically identifying chambers requiring cleaning based on chamber-level pressure difference data and inlet dust load, a priority-ordered sequence of chambers to be cleaned is generated. This achieves refined cleaning scheduling focused on the filtration chamber level, triggering cleaning actions on time according to the actual blockage status of each chamber. Simultaneously, after generating the sequence of chambers to be cleaned, a non-adjacent, skip-type cleaning sequence is planned based on the physical location relationships of the chambers. By actively avoiding continuous actions of physically adjacent chambers during cleaning, the risk of secondary penetration or re-adsorption of dust in already cleaned chambers due to disturbance by adjacent jet airflow is reduced, thus improving the effectiveness and stability of a single cleaning cycle.

Description

Technical Field

[0001] This invention belongs to the field of dust removal control technology, and specifically discloses an online monitoring and control method for dust removal based on an electromagnetic piston pulse valve. Background Technology

[0002] Baghouse dust collectors are a type of dry dust collection equipment widely used in power, metallurgy, building materials, chemical and other fields. Their working principle involves using fiber filter bags to filter dust-laden gas. As filtration continues, dust accumulates on the surface of the filter bags, forming a dust layer, which increases the operating resistance of the dust collector. To maintain the continuous and stable operation of the dust collector, the filter bags need to be cleaned regularly.

[0003] As an actuator used for cleaning filter bags in baghouse dust collectors, the electromagnetic piston pulse valve is driven by an electromagnetic coil to quickly open and close the piston, thereby instantly releasing compressed air to form a powerful jet of air that rushes into the interior of the filter bag in the opposite direction, causing the dust layer attached to the surface of the filter bag to peel off.

[0004] When using electromagnetic piston pulse valves for filter bag dust removal, the quality of the dust removal control strategy directly affects the operating energy consumption of the dust collector and the service life of the filter bags. Existing technologies include technical solutions for filter bag dust removal. For example, Chinese invention patent CN116212531A proposes a comprehensive control method for a dust removal system. This method involves grouping multiple independently operating dust collectors together and assigning unified parameter values ​​and scheduling to all pulse valves within the group. This allows all pulse valves to operate in an orderly and uniform manner within a common blowing cycle.

[0005] While this solution effectively alleviates the sudden drop in air supply pressure caused by centralized dust removal at the multi-device coordination level, its control granularity remains at the equipment group level. Its scheduling logic focuses on macroscopic coordination between multiple dust collectors, without differentiating the operating status of multiple independent filtration compartments within a single dust collector. In reality, due to uneven flue gas distribution and differences in filter bag aging, the degree of clogging in each compartment often exhibits significant heterogeneity. If dust removal is triggered only by a uniform cycle or total pressure difference for the entire machine, it will result in a one-size-fits-all operation: some severely clogged compartments will experience uncontrolled resistance due to delayed dust removal, while lightly clogged compartments will be frequently and ineffectively cleaned, leading to wasted compressed air and mechanical fatigue of the filter bags.

[0006] In addition, there is mutual interference between airflow and dust between multiple filter compartments of a single dust collector. Existing solutions fail to solve the problem of mutual interference between compartments. They only perform equipment group-level pulse jet scheduling, which makes it difficult to avoid the risk of dust penetration caused by continuous cleaning of adjacent compartments. This not only reduces the efficiency of single cleaning, but may also lead to periodic peaks in the outlet emission concentration. Summary of the Invention

[0007] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a dust removal online monitoring and control method based on an electromagnetic piston pulse valve, so as to solve the problems existing in the prior art.

[0008] The objective of this invention can be achieved through the following technical solution: a dust removal online monitoring and control method based on an electromagnetic piston pulse valve, comprising the following steps: S1, synchronously collecting the filter bag operating pressure difference and inlet dust load of each independent filtration compartment inside a single dust collector.

[0009] S2. Based on the inlet dust load status, switch the dust removal evaluation mode and analyze the operating pressure difference of the filter bags in each compartment to identify the compartment with dust removal requirements; among them, the dust removal evaluation focuses on the rate of change of pressure difference when the load is high, and the dust removal evaluation focuses on the instantaneous value of the current pressure difference when the load is low.

[0010] S3. For the identified dust removal needs, classify the compartments, assess the degree of dust removal needs based on the analysis results of the filter bag operating pressure difference, and generate a sequence of compartments to be cleaned accordingly.

[0011] S4. Based on the sequence of the compartments to be cleaned and the physical location of the compartments, plan a skip-type cleaning sequence.

[0012] S5. Control the electromagnetic piston pulse valve to perform jet cleaning actions in sequence according to the planned jump cleaning sequence, and implement dynamic cleaning interval control based on the cleaning effect feedback.

[0013] S6. After the dust removal of the compartment sequence to be cleaned is completed according to the dynamic dust removal interval control, the marked compartment to be re-inspected shall be subjected to supplementary dust removal operation.

[0014] Combining all the above technical solutions, the positive effects of this invention are as follows: 1. This invention achieves real-time sensing of the operating status of each independent filtration compartment within a single dust collector, dynamically identifies compartments with cleaning needs based on compartment-level pressure difference data and inlet dust load, and generates a priority-ordered sequence of compartments to be cleaned. This realizes refined cleaning scheduling focused on the filtration compartment level, and can trigger cleaning actions on time according to the actual blockage status of each compartment. This effectively avoids the one-size-fits-all cleaning caused by traditional methods that use a uniform cycle or total pressure difference as the criterion, and greatly improves the targeting and timeliness of the cleaning response.

[0015] 2. After generating the sequence of compartments to be cleaned, this invention combines the physical positional relationship of the compartments to plan a non-adjacent skip cleaning sequence. By actively avoiding continuous actions of physically adjacent compartments during the cleaning process, it helps to reduce the risk of secondary penetration or re-adsorption of dust in cleaned compartments due to disturbance by adjacent jet airflow. This not only improves the effectiveness and stability of single cleaning, but also avoids fluctuations in outlet emission concentration caused by instantaneous dust dispersion, thus enhancing the overall cleaning reliability.

[0016] 3. After performing the jet cleaning action according to the planned skip-type cleaning sequence, the present invention introduces a real-time monitoring mechanism for the cleaning effect and dynamically adjusts the execution interval between two adjacent cleaning operations based on the feedback of the cleaning effect. This can ensure the effectiveness of cleaning while taking into account the rationality of the cleaning sequence and the efficiency of resource allocation. Attached Figure Description

[0017] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0018] Figure 1 This is a diagram illustrating the implementation steps of the method of the present invention.

[0019] Figure 2 This is a flowchart illustrating the dust removal evaluation process based on the rate of pressure difference change under high load in this invention.

[0020] Figure 3 This is a flowchart illustrating the dust removal evaluation process under low load conditions in this invention, which focuses on the instantaneous value of the current differential pressure. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] See Figure 1 As shown, the present invention proposes an online monitoring and control method for dust removal based on an electromagnetic piston pulse valve, including the following steps: S1, synchronously collecting the filter bag operating pressure difference and inlet dust load of each independent compartment inside a single dust collector.

[0023] A single dust collector typically consists of multiple independent filtration compartments, each containing a set of filter bags to filter dust from the flue gas. When the surface of the filter bags in a particular compartment accumulates dust and becomes clogged, the resistance to gas flow through that compartment increases, resulting in a higher operating pressure differential for the filter bags. Therefore, the operating pressure differential is an important indicator reflecting the degree of clogging and the need for dust removal in that compartment.

[0024] Although the operating pressure difference of the filter bag can reflect whether the compartment is blocked, relying solely on the current pressure difference has a slow response and is prone to misjudgment. For example, a high pressure difference in one compartment may only be a temporary phenomenon, while another compartment with a lower pressure difference may be accumulating dust rapidly and will soon become severely blocked. Therefore, by introducing the rate of change of pressure difference, the system has the ability to quickly adapt to sudden changes in operating conditions.

[0025] The rate of change of differential pressure is largely affected by the inlet dust load: when the dust load is high, the dust comes in more and faster, and the differential pressure of the filter bag rises rapidly. At this time, we should pay more attention to whether the differential pressure is rising rapidly, clean the dust in advance, and prevent the resistance from soaring. When the dust load is low, the dust accumulates slowly and the differential pressure changes slowly. We can then mainly check whether the differential pressure exceeds the limit and deal with the blocked compartments.

[0026] Therefore, the inlet dust load provides the operating condition background for dust removal judgment. If this is not considered, the dust removal strategy may become inappropriate: it may be too slow to react under high load, resulting in excessive system resistance; or it may be too sensitive under low load, leading to frequent dust removal, wasting compressed air, and easily damaging the filter bags. Therefore, in addition to collecting the differential pressure of the filter bags in each compartment, it is also necessary to dynamically adjust the dust removal judgment logic in conjunction with the dust load to achieve adaptive dust removal control based on operating conditions.

[0027] In an optional embodiment of the present invention, S1 specifically includes the following: a differential pressure sensing device is installed between the clean air side and the dust air side of each independent filtration compartment of a single dust collector to form a compartment differential pressure monitoring point array for collecting the operating differential pressure of the filter bags in each compartment.

[0028] Because the filter bag resists airflow, when dust deposits on its surface, the pressure drop required for gas to pass through increases, resulting in a higher pressure on the dust-side than on the clean-side. A differential pressure sensor measures this pressure difference in real time; this difference is the operating differential pressure of the compartmented filter bag.

[0029] Dust concentration monitoring devices and flow monitoring devices are installed in parallel at the inlet of the main flue of the dust collector to simultaneously collect the dust concentration and volumetric flow rate in the inlet flue gas, and calculate the inlet dust load based on the product of the two.

[0030] S2. Based on the inlet dust load status, switch the dust removal evaluation mode and analyze the operating pressure difference of the filter bags in each compartment to identify the compartment with dust removal requirements; among them, the dust removal evaluation focuses on the rate of change of pressure difference when the load is high, and the dust removal evaluation focuses on the instantaneous value of the current pressure difference when the load is low.

[0031] Considering that the inlet dust load provides the working condition background for dust removal judgment, this invention uses the inlet dust load to determine the load status, thereby enabling different dust removal judgments and realizing adaptive working condition identification for different dust removal requirements of different compartments.

[0032] Optionally, the dust removal evaluation mode based on the inlet dust load can be referred to as follows: Set the baseline state boundary point of the system inlet dust load, compare the average dust load within the set monitoring time window with the baseline state boundary point, and determine whether the current system is in a high load state or a low load state.

[0033] In actual operation, the inlet dust concentration often experiences short-term spikes or fluctuations due to process disturbances. Directly using instantaneous values ​​to determine the system load status can easily lead to frequent switching of the dust removal evaluation mode, reducing control stability and potentially causing the dust removal strategy to become disconnected from actual operating conditions. Therefore, this invention introduces a set time window, such as 10 minutes, to perform a moving average processing of the inlet dust load, effectively filtering out short-term noise and more accurately reflecting the continuous characteristics of the current operating conditions.

[0034] Furthermore, after determining the dust load status, it is necessary to analyze the trend of filter bag pressure difference changes. This analysis must be based on a relatively stable dust load background. If the load status determination relies on instantaneous values, their drastic fluctuations will lead to a lack of consistent operating conditions in subsequent pressure difference change analyses, resulting in distorted dust removal criteria. Therefore, using the average dust load within a time window as the basis for mode switching can provide a stable external condition reference for pressure difference trend analysis, ensuring that the dust removal evaluation is reasonable in terms of physical mechanisms.

[0035] For the purposes of the above operation, the baseline state boundary of the inlet dust load reflects the critical pollution load level at which the system transitions from a normal dust accumulation condition to an accelerated blockage condition.

[0036] This dividing point can be determined through statistical analysis based on historical inlet dust load data collected during the long-term stable operation of the dust collector. For example, the 70% to 80% quantile of the historical load sequence can be selected as the critical point. When the average dust load within the monitoring window is higher than the critical point, the system is considered to be in a high-load state; otherwise, it is considered to be in a low-load state.

[0037] When the average dust load is higher than the baseline state boundary, it is determined to be a high load state, and the dust removal evaluation mode that focuses on the rate of change of pressure difference is activated.

[0038] See Figure 2 As shown, in a preferred embodiment of the present invention, the dust removal evaluation mode focusing on the rate of pressure difference change includes the following: for each independent filter compartment, based on the time series data of the filter bag operating pressure difference within the current monitoring time window, the pressure difference change per unit time is calculated, thereby obtaining the rate of pressure difference change of the compartment.

[0039] The rate of change of differential pressure in each independent filtration compartment is compared with the normal range of differential pressure fluctuation. If the rate of change of differential pressure in a certain compartment is higher than the upper limit of the normal range of differential pressure fluctuation, then the compartment is determined to be in a state of rapid increase of differential pressure.

[0040] The above-mentioned normal fluctuation range of differential pressure reflects the reasonable range of variation of the differential pressure of the filter bag under stable operating conditions without abnormal blockage.

[0041] For example, the settings can be made based on historical operating data under steady-state low-load conditions: First, during the stable operation phase when the dust collector is in a low dust load, the dust removal state is normal and there is no external disturbance, the time sequence data of the filter bag operating pressure difference of each independent compartment is continuously collected.

[0042] Subsequently, the rate of change of pressure difference per unit time in each compartment was calculated, and a sample set of normal rate of change was constructed.

[0043] Finally, statistical analysis was performed on the sample set, and the normal fluctuation range of differential pressure was determined by the mean ± 2 standard deviations. The upper limit of the range was used as the benchmark threshold for judging the rapid rise of differential pressure.

[0044] For compartments that are determined to be in a state of rapid increase in differential pressure, priority will be given to identifying them as compartments requiring dust removal.

[0045] Under normal operating conditions, when the rate of change of the filter bag pressure difference in a certain compartment is significantly higher than the upper limit of the normal fluctuation range, even if the current pressure difference is small, it indicates that the dust filter cake is rapidly thickening or becoming dense, and the system is about to enter a high-resistance operating state. At this time, without waiting for the pressure difference to accumulate to the high-resistance threshold, the compartment can be directly identified as the compartment requiring cleaning. The purpose is to clean the filter bag in advance to avoid a sharp increase in energy consumption or damage to the filter bag.

[0046] For compartments that are not determined to be in a state of rapid increase in differential pressure, their current instantaneous differential pressure value is compared with the configured high resistance threshold. If the current instantaneous differential pressure value of a compartment reaches or exceeds the high resistance threshold, the compartment is identified as a compartment requiring dust removal.

[0047] The high resistance threshold mentioned above is essentially the last line of defense to prevent filter bags from failing due to excessive resistance. For example, refer to the maximum permissible operating differential pressure recommended by the filter bag manufacturer.

[0048] To further understand, under high load conditions, if the rate of change of pressure difference in a certain compartment does not increase significantly, i.e., it is not in a rapid rising state, it indicates that the dust accumulation process of its filter bag is relatively stable. At this time, the dust removal judgment is based on the current instantaneous value of the pressure difference: once the pressure difference of the compartment reaches or exceeds the preset high resistance threshold, it is considered that the filter bag resistance has accumulated to a critical level, indicating that the flow resistance of gas through the filter bag is too large, which not only significantly increases the system energy consumption, but may also cause risks such as excessive stretching, damage, or airflow deviation of the filter bag. Therefore, dust removal must be triggered in a timely manner to restore the permeability of the filter bag.

[0049] When the average dust load is lower than or equal to the baseline state boundary, it is determined to be a low load state, and the dust removal evaluation mode that focuses on the instantaneous value of the current differential pressure is activated.

[0050] See Figure 3 As shown, in another preferred embodiment of the present invention, the dust removal evaluation mode focusing on the instantaneous value of the current differential pressure is as follows: for each compartment, its instantaneous value of the current differential pressure is compared with the configured high resistance threshold.

[0051] If the instantaneous value of the current differential pressure reaches or exceeds the high resistance threshold, the compartment will be identified as the compartment requiring dust removal.

[0052] Understandably, under low load conditions, the rate of dust accumulation on the filter bags is slow, and the pressure difference changes tend to be stable. At this time, the dust removal judgment should prioritize the degree of accumulation of filter bag resistance. If the instantaneous value of the current pressure difference in a certain compartment reaches or exceeds the preset high resistance threshold, it indicates that its filter bag resistance has risen to a critical level, and dust removal needs to be triggered in time.

[0053] For compartments where the current instantaneous differential pressure value has not reached the high resistance threshold, the differential pressure change per unit time is calculated based on the differential pressure time series data within the most recent monitoring time window to obtain the differential pressure change rate of that compartment.

[0054] The compartment is identified as requiring dust removal only when the rate of change of differential pressure exceeds the upper limit of the normal differential pressure fluctuation range.

[0055] Furthermore, under low-load conditions, after prioritizing the accumulation of filter bag resistance, it is still necessary to monitor the pressure difference trend. When the rate of change of pressure difference in a certain compartment exceeds the upper limit of the normal fluctuation range, it indicates that the filter bag's dust accumulation behavior has deviated from the normal slow growth pattern, suggesting that the resistance may rapidly deteriorate in the short term. Therefore, to prevent the problem from escalating, such compartments should also be identified as requiring dust removal.

[0056] In summary, this invention employs differentiated evaluation logic and control objectives for dust removal assessment of filter compartments under different inlet dust load conditions: under high dust load conditions, the pressure difference change trend is used as the primary criterion, emphasizing early intervention to prevent rapid deterioration of filter bag resistance; under low dust load conditions, the current instantaneous pressure difference value is used as the core basis, supplemented by abnormal trend identification, focusing on accurate response to existing blockage conditions to avoid ineffective dust removal.

[0057] After identifying the cleaning needs of different compartments based on differentiated evaluation logic, if the degree of blockage varies, and the cleaning needs are not quantified and all compartments are cleaned with the same priority, high-risk compartments will not be given priority treatment, which may lead to uncontrolled resistance. Low-risk compartments will occupy cleaning resources, resulting in a waste of compressed air.

[0058] S3. For the identified dust removal needs, classify the compartments, assess the degree of dust removal needs based on the analysis results of the filter bag operating pressure difference, and generate a sequence of compartments to be cleaned accordingly.

[0059] As one possible way to implement the above scheme, the process of assessing the degree of dust removal demand is as follows: For each identified dust removal demand compartment, the rate of change of its differential pressure is compared with the upper limit of the normal fluctuation range of differential pressure to form a normalized value of differential pressure change, and at the same time, the current instantaneous value of differential pressure is compared with the high resistance threshold to form an instantaneous normalized value of differential pressure.

[0060] Given that the rate of change of differential pressure reflects the trend of blockage development, and the current instantaneous value of differential pressure reflects the current resistance level, the two together constitute a multi-dimensional criterion for the degree of dust removal demand. Since the two have different physical dimensions and numerical scales, they need to be normalized to map them to a unified dimensionless space, thereby eliminating dimensional differences and ensuring comparability and effective integration between indicators.

[0061] Based on the current dust load status of the system, the weighting factors of the two normalized values ​​are dynamically configured.

[0062] Given the differences in the dominant criteria for dust removal requirements under varying dust load conditions, using a fixed weight to fuse the normalized value of differential pressure change and the instantaneous normalized value of differential pressure can easily lead to inaccurate assessments of dust removal requirements. Therefore, it is necessary to dynamically adjust the weights of both based on the current dust load status to match the actual dust accumulation characteristics with the control objectives.

[0063] Specifically: Under high dust load conditions, the dust concentration is high and the filter bag ash accumulation rate is fast. The rapid rise in pressure difference often indicates that the clogging trend is accelerating. At this time, trend information has more early warning value, so the normalized value of pressure difference change should be given higher weight.

[0064] Under low dust load conditions, the ash accumulation process is gradual and the probability of sudden pressure changes is low. The evaluation of dust removal should focus more on whether the current resistance has reached the critical level. Therefore, the instantaneous normalized value of the pressure difference should have the dominant weight.

[0065] In a typical configuration, the sum of the two weights is constrained to 1 to achieve normalization fusion. For example, under high load conditions, the weights of the normalized value of differential pressure change and the normalized value of instantaneous differential pressure are set to 0.7 and 0.3, respectively.

[0066] Under low load conditions, adjust to 0.3 and 0.7.

[0067] For each compartment requiring dust removal, the two normalized values ​​are linearly weighted and averaged according to the weight combination corresponding to the current load status to obtain the dust removal requirement of the corresponding compartment.

[0068] As a further way to achieve the above scheme, the generation of the dust-cleaning compartment sequence is as follows: All identified dust-cleaning compartments are arranged in descending order according to the degree of dust-cleaning requirement, forming a preliminary dust-cleaning compartment sequence.

[0069] Traverse the preliminary sequence of compartments to be cleaned, compare the degree of cleaning requirement between any two adjacent compartments. If there are two adjacent compartments with the same degree of cleaning requirement, then adjust the local ascending order of these two compartments according to the time when they were identified as compartments requiring cleaning, that is, the one identified first is cleaned first, and generate the sequence of compartments to be cleaned.

[0070] After the sequence of dust-removing compartments is generated, since the compartments are ordered according to their dust removal requirements, compartments that are grouped together may happen to be adjacent in the dust collector. If they are cleaned consecutively, the strong airflow generated when the previous compartment is purged will disrupt the internal airflow, causing adjacent compartments to be in an unstable negative pressure state during cleaning. This will not only weaken the cleaning effect but may also cause freshly blown dust to be sucked to the clean gas side, reducing cleaning efficiency.

[0071] In response to this situation, the dust removal sequence needs to be adjusted in a skip-style manner, that is, skipping adjacent compartments and prioritizing the dust removal of compartments whose dust removal locations are not adjacent, in order to avoid mutual interference.

[0072] S4. Based on the sequence of the compartments to be cleaned and the physical location of the compartments, plan a skip-type cleaning sequence.

[0073] Specifically, the process of planning the skip-type dust removal sequence is as follows: read the sequence of the compartments to be cleaned and obtain the physical location number of each compartment in the sequence.

[0074] In one embodiment, the physical number of the compartment can be based on a two-dimensional index defined by the flue gas flow direction or the housing structure, which is used to characterize its spatial adjacency relationship in the dust collector body.

[0075] Starting from the first compartment in the sequence, check whether its physical location number is adjacent to the physical location number of the next compartment in the sequence that requires dust removal.

[0076] For example, the absolute value of the difference between adjacent indexable numbers mentioned above is 1.

[0077] If the physical location number of the current compartment is adjacent to that of the next compartment requiring dust removal, the current compartment will be retained because the current compartment has a higher dust removal priority, and the next compartment requiring dust removal will not be included in the current dust removal execution queue.

[0078] It should be added that compartments that are skipped due to adjacency can be cached in the next round of dust removal scheduling queue.

[0079] If the two are not physically adjacent, their sequential positions in the ash-cleaning compartment sequence are retained.

[0080] Through the above traversal and filtering, the subsequences that satisfy the minimum physical interval constraint are extracted from the sequence of compartments to be cleaned, and these subsequences are used as the final skip-type cleaning execution order.

[0081] In one operational embodiment, it is assumed that the sequence of compartments to be cleaned is [D3, D4, D7, D8], where D3 is adjacent to D4 and D7 is adjacent to D8.

[0082] After skipping planning, the first round of dust removal execution sequence is [D3, D7], and D4 and D8 are postponed to the next round.

[0083] The above-mentioned skip-type dust removal plan can ensure timely dust removal for high-demand compartments while avoiding airflow disturbance caused by simultaneous operation of adjacent compartments.

[0084] After planning a skip-style cleaning sequence for each cleaning compartment, the cleaning action of each compartment cannot be performed continuously or without intervals. Instead, time control is required. This is because the pulse-jet cleaning of the electromagnetic piston valve is an instantaneous process, typically tens to hundreds of milliseconds. However, the vibration of the filter bag, dust shedding, and settling after the pulse-jet cleaning require a short period of time to stabilize. If the cleaning of the next compartment is triggered immediately, even if the compartments are not adjacent, they may still affect each other due to incomplete attenuation of airflow disturbances. Therefore, an appropriate time interval provides an airflow recovery window for the system, further improving the reliability of cleaning.

[0085] S5. Control the electromagnetic piston pulse valve to perform jet cleaning actions in sequence according to the planned jump cleaning sequence, and implement dynamic cleaning interval control based on the cleaning effect feedback.

[0086] As an optional implementation of the above scheme, dynamic dust removal interval control based on dust removal effect feedback is as follows: after sending a dust removal trigger command to the electromagnetic piston pulse valve corresponding to the current compartment according to the skip-type dust removal execution order in the sequence of compartments to be cleaned, the internal timer is started at the same time, and the compartment is marked as being processed.

[0087] After the dust removal trigger command is issued, the operating pressure difference of the filter bag in the compartment is collected at a fixed frequency, and the real-time pressure difference drop is calculated based on the initial pressure difference value before the dust removal starts, which is used as a parameter of the dust removal effect.

[0088] It should be noted that the operating pressure difference of the filter bag reflects the resistance encountered by the gas as it passes through the filter bag. The more dust accumulates, the greater the resistance, and the higher the pressure difference. When dust removal is effective, the dust layer is peeled off, the resistance decreases, and the pressure difference drops accordingly. Therefore, the amount of pressure difference reduction can directly and quantitatively characterize whether the dust removal is effective.

[0089] The real-time calculated pressure drop is compared with the target pressure drop.

[0090] The pressure drop mentioned above reflects the minimum reduction in filter bag resistance that must be achieved after dust removal. If the pressure drop does not reach this value, it indicates that the dust has not been fully removed and the filter bag remains in a high-resistance state.

[0091] For example, since the identification of the dust removal requirement compartment is mainly based on whether the current instantaneous pressure difference value reaches or exceeds the high resistance threshold, the standard reduction amount can be set accordingly according to a certain percentage of the high resistance threshold, with a typical value range of 10% to 15%. This percentage can reflect the effective degree of relief of filter bag resistance and is logically consistent with the dust removal triggering conditions, ensuring that the dust removal effect evaluation has engineering rationality and consistent criteria.

[0092] If the pressure drop is greater than or equal to the standard drop before the timer reaches the set time interval, the cleaning of the compartment is deemed to have met the standard, the status of the compartment is updated to complete, and the cleaning process of the next compartment is started.

[0093] The aforementioned time interval refers to the maximum duration allowed for a single dust removal operation. Essentially, it is a timeout protection threshold used to ensure that the dust raised after dust removal has enough time to settle, thus avoiding interference with the settling process or dust re-adsorption due to prematurely triggering the next dust removal action.

[0094] The time interval is set based on the dynamic characteristics of dust settling after cleaning. The specific determination method is as follows: First, collect historical operating data of a single dust collector under typical operating conditions, focusing on the time required for the dust concentration in the outlet airflow of each compartment to drop from the instantaneous peak and stabilize to a normal low level after cleaning.

[0095] Then, statistical analysis of the above settling time is performed, such as taking the 90th percentile, to determine a minimum safe time that can cover most working conditions and ensure that the raised dust settles completely.

[0096] Ultimately, this minimum safe time is used as the set time interval for timeout judgment in the dust removal effect feedback control.

[0097] If the timer's accumulated time has reached or exceeded the set time interval, and the pressure drop is still less than the target drop, it is determined that the dust removal of that compartment has not met the target on time. The status of that compartment is updated to pending review, and the current process is interrupted. Instead, the dust removal trigger instruction for the next compartment in the sequence is started, until the dust removal actions of all compartments in the dust removal execution sequence are completed.

[0098] It is important to understand that while it is known that adjacent compartments need to be cleaned at intervals in the cleaning sequence, this invention does not use a fixed waiting time. Instead, it uses dynamic control by combining cleaning effect feedback and a set time interval: if the system detects a significant decrease in the pressure difference of the current compartment before the set time is reached, indicating that the cleaning effect has met the standard, the cleaning of the next compartment will be started immediately without waiting for the time to end.

[0099] If the dust removal effect still does not meet the standard by the set time, the process will not continue to wait or repeat the dust removal. Instead, the compartment will be marked as pending re-inspection and the dust removal process will proceed directly to the next compartment.

[0100] This approach ensures sufficient time for effective dust removal in most cases while avoiding prolonged resource consumption due to difficulties in cleaning a particular compartment, which could severely delay subsequent compartments. Even if a compartment is not completely clean, the set time is sufficient to cover the normal settling requirements, preventing significant disruption to the system.

[0101] S6. After the dust removal of the compartment sequence to be cleaned is completed according to the dynamic dust removal interval control, the marked compartment to be re-inspected shall be subjected to supplementary dust removal operation.

[0102] The specific implementation of the above steps is as follows: After completing the dust removal action of all compartments in the dust removal execution sequence, check whether there are any marked compartments that need to be re-inspected.

[0103] If present, these sub-rooms awaiting re-inspection will undergo secondary dust removal.

[0104] After the secondary dust removal process, the dust removal effect parameters are monitored again. If the results are still not up to standard, a fault alarm message for that compartment is generated.

[0105] The above operation, through a secondary cleaning combined with an effect verification mechanism, achieves graded handling of cleaning anomalies while avoiding excessive intervention: it can correct occasional insufficient cleaning, accurately identify real faults and issue timely alarms, thus taking into account both system operating efficiency and energy economy.

[0106] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0107] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0108] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0109] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0110] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for online monitoring and control of dust removal based on an electromagnetic piston pulse valve, characterized in that, include: S1. Simultaneously collect the filter bag operating pressure difference and inlet dust load of each independent filtration compartment within a single dust collector. S2. The dust removal evaluation mode is switched based on the inlet dust load status, and the operating pressure difference of the filter bags in each compartment is analyzed to identify the compartments with dust removal requirements; among them, the dust removal evaluation focuses on the rate of change of pressure difference when the load is high, and the dust removal evaluation focuses on the instantaneous value of the current pressure difference when the load is low. S3. The identified dust removal needs are divided into compartments, and the degree of dust removal needs is evaluated based on the analysis results of the filter bag operating pressure difference. Based on this, a sequence of compartments to be cleaned is generated. S4. Based on the sequence of the compartments to be cleaned and the physical location of the compartments, plan a skip-type cleaning sequence; S5. Control the electromagnetic piston pulse valve to perform jet cleaning actions in sequence according to the planned jump cleaning sequence, and implement dynamic cleaning interval control based on the cleaning effect feedback. S6. After the dust removal of the compartment sequence to be cleaned is completed according to the dynamic dust removal interval control, the marked compartment to be re-inspected shall be cleaned again. The dust removal evaluation mode based on the inlet dust load status is described below: Set a baseline state boundary point for the dust load at the system inlet. Compare the average dust load within the set monitoring time window with the baseline state boundary point to determine whether the current system is in a high-load or low-load state. When the average dust load is higher than the baseline state boundary, it is judged as a high load state, and the dust removal evaluation mode that focuses on the rate of change of pressure difference is activated. When the average dust load is lower than or equal to the baseline state boundary point, it is determined to be a low load state, and the dust removal evaluation mode that focuses on the instantaneous value of the current differential pressure is activated. The dust removal evaluation mode that emphasizes the rate of pressure difference change is described below: For each independent filtration compartment, the pressure difference change per unit time is calculated based on the time-series data of the filter bag operating pressure difference within the current monitoring time window, thereby obtaining the pressure difference change rate of that compartment; The rate of change of differential pressure in each independent filtration compartment is compared with the normal range of differential pressure fluctuation. If the rate of change of differential pressure in a certain compartment is higher than the upper limit of the normal range of differential pressure fluctuation, then the compartment is determined to be in a state of rapid increase of differential pressure. For compartments identified as being in a state of rapid increase in differential pressure, priority will be given to identifying them as compartments requiring dust removal; For compartments that are not determined to be in a state of rapid increase in differential pressure, their current instantaneous differential pressure value is compared with the configured high resistance threshold. If the current instantaneous differential pressure value of a compartment reaches or exceeds the high resistance threshold, the compartment is identified as a compartment requiring dust removal. The specific details of the dust removal evaluation mode, which focuses on the instantaneous value of the current differential pressure, are as follows: For each compartment, its current instantaneous differential pressure value is compared with the configured high resistance threshold; If the instantaneous value of the current differential pressure reaches or exceeds the high resistance threshold, the compartment will be identified as the compartment requiring dust removal. For compartments where the current instantaneous differential pressure value has not reached the high resistance threshold, the differential pressure change per unit time is calculated based on the differential pressure time series data within the most recent monitoring time window to obtain the differential pressure change rate of the compartment. The compartment is identified as requiring dust removal only when the rate of change of differential pressure exceeds the upper limit of the normal differential pressure fluctuation range.

2. The dust removal online monitoring and control method based on an electromagnetic piston pulse valve as described in claim 1, characterized in that: S1 includes the following: A differential pressure sensor is installed between the clean air side and the dust air side of each independent filtration compartment of a single dust collector to form a compartment differential pressure monitoring point array, which is used to collect the operating differential pressure of the filter bags in each compartment. Dust concentration monitoring devices and flow monitoring devices are installed in parallel at the inlet of the main flue of the dust collector to simultaneously collect the dust concentration and volumetric flow rate in the inlet flue gas, and calculate the inlet dust load based on the product of the two.

3. The dust removal online monitoring and control method based on an electromagnetic piston pulse valve as described in claim 1, characterized in that: The process of assessing the degree of dust removal requirement based on the analysis results of the filter bag operating pressure difference is as follows: For each identified dust removal compartment, the rate of change of its differential pressure is compared with the upper limit of the normal fluctuation range of differential pressure to form a normalized value of differential pressure change. At the same time, the current instantaneous value of differential pressure is compared with the high resistance threshold to form an instantaneous normalized value of differential pressure. Based on the current dust load status of the system, dynamically configure the weighting factors of the two normalized values; For each compartment requiring dust removal, the two normalized values ​​are linearly weighted and averaged according to the weight combination corresponding to the current load status to obtain the dust removal requirement of the corresponding compartment.

4. The dust removal online monitoring and control method based on an electromagnetic piston pulse valve as described in claim 1, characterized in that: The generation of the ash-cleaning compartment sequence is described below: All identified dust removal needs are sorted in descending order of the degree of dust removal need to form a preliminary sequence of dust removal needs. Traverse the preliminary sequence of compartments to be cleaned, compare the degree of cleaning requirement between any two adjacent compartments. If there are two adjacent compartments with the same degree of cleaning requirement, then adjust the order of these two compartments in ascending order according to the time when they were identified as compartments with cleaning requirements, and generate the sequence of compartments to be cleaned.

5. The dust removal online monitoring and control method based on an electromagnetic piston pulse valve as described in claim 1, characterized in that: Based on the physical location relationship of the compartments, the planned skip-type dust removal sequence process is as follows: Read the sequence of compartments to be cleaned and obtain the physical location number of each compartment in the sequence; Starting from the first compartment in the sequence, check whether its physical location number is adjacent to the physical location number of the next compartment in the sequence that requires dust removal; If the physical location number of the current cleaning compartment is adjacent to that of the next cleaning compartment requiring cleaning, the current cleaning compartment will be retained, and the next cleaning compartment will not be included in the current cleaning execution queue. If the two are not physically adjacent, their sequential positions in the ash-cleaning compartment sequence shall be retained. By traversing and filtering, the subsequences that satisfy the minimum physical interval constraint are extracted from the sequence of compartments to be cleaned, and these subsequences are used as the final skip-type cleaning execution order.

6. The dust removal online monitoring and control method based on an electromagnetic piston pulse valve as described in claim 1, characterized in that: The implementation of dynamic dust removal interval control based on dust removal effect feedback is described below: After issuing a cleaning trigger command to the electromagnetic piston pulse valve corresponding to the current compartment according to the skip cleaning execution order in the compartment to be cleaned sequence, the internal timer is started at the same time, and the compartment is marked as being processed. After the dust removal trigger command is issued, the operating pressure difference of the filter bag in this compartment is collected at a fixed frequency, and the real-time pressure difference drop is calculated based on the initial pressure difference value before the dust removal starts, which is used as a parameter of the dust removal effect. Compare the real-time calculated pressure drop with the target pressure drop; If the pressure drop is greater than or equal to the standard drop before the timer reaches the set time interval, the cleaning of the compartment is deemed to have met the standard, the status of the compartment is updated to complete, and the cleaning process of the next compartment is started. If the timer's accumulated time has reached or exceeded the set time interval, and the pressure drop is still less than the target drop, it is determined that the dust removal of that compartment has not met the target on time. The status of that compartment is updated to pending review, and the current process is interrupted. Instead, the dust removal trigger instruction for the next compartment in the sequence is started, until the dust removal actions of all compartments in the dust removal execution sequence are completed.

7. The dust removal online monitoring and control method based on an electromagnetic piston pulse valve as described in claim 6, characterized in that: The content of S6 is as follows: After completing the dust removal actions for all compartments in the dust removal sequence, check if there are any marked compartments awaiting re-inspection; If present, these sub-rooms awaiting re-inspection will undergo secondary dust removal. After the secondary dust removal process, the dust removal effect parameters are monitored again. If the results are still not up to standard, a fault alarm message for that compartment is generated.

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