Automatic ash removal control method for bag-type dust collector
Through the combination of the dual-mode gradient response algorithm and the timing calibration mode, the efficient dust removal control of the bag dust collector is achieved, solving the problems of low dust removal efficiency, high energy consumption and difficult maintenance, and improving the accuracy of broken bag positioning and equipment operation stability.
Patent Information
- Application Number
- CN202510942251.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-09
- Publication Date
- 2025-08-12
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing bag dust collector dust collector has problems such as low cleaning efficiency, high energy consumption and difficulty in maintenance. Especially when dust load suddenly changes and working conditions change, the bag breaking detection and positioning are lagging, resulting in low maintenance efficiency.
The dual-mode gradient response algorithm is used to construct a three-level dust cleaning strategy of ‘energy-saving-balance-enhanced’ through the three-stage pressure difference interval (P≤P1, P1
The energy consumption of dust removal was reduced by 16.7%, the frequency of resistance over-limited decreases by 60%, the accuracy of bag breaking positioning was improved to 95%, the maintenance time was shortened from 2 hours to 20 to 35 minutes, the life of the bag was extended by 13%, and the maintenance cost was reduced by 18.2%.
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Figure CN120459732A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of flue gas purification for domestic waste incineration, and in particular to an automatic dust cleaning control method for a bag filter. Background Art
[0002] In municipal solid waste incineration power generation projects, bag filters serve as the core dust removal equipment. Their dust removal efficiency directly affects flue gas emission indicators and equipment operating energy consumption. The existing dust removal control system has the following technical bottlenecks:
[0003] 1) Simplified control mode:
[0004] The traditional timing mode (such as blowing at a fixed interval of 100s) does not take into account the real-time resistance changes. When the dust load suddenly increases, it is easy to cause the bag resistance to exceed the limit (such as ≥2.5kPa), increasing the energy consumption of the induced draft fan; when the load is low, excessive dust cleaning will occur, shortening the bag life.
[0005] The single pressure difference mode only relies on a single threshold (such as 1.6kPa) to trigger cleaning, does not form a gradient response, and lacks fine-tuning of resistance fluctuations (such as the 1.2-1.6kPa range), resulting in unreasonable cleaning intervals.
[0006] 2) Broken bag detection and positioning lag:
[0007] The existing system does not couple the bag leak detector signal with the injection timing. It only uses the alarm of excessive outlet concentration, which cannot accurately locate the broken bag chamber. Manual inspection is required for each chamber, resulting in long inspection time (usually ≥2 hours) and low maintenance efficiency.
[0008] 3) Parameter adjustment is more extensive:
[0009] The cleaning pulse time (80-200ms) and interval time (1-200s) rely on manual experience to set, and fail to achieve adaptive adjustment based on dust characteristics (such as particle size and humidity), making it difficult to take into account the cleaning effects under different working conditions.
[0010] Invention patent application CN107081018A discloses a control process for a small pulse bag dust collector with a heavy hammer discharger. The key technical features include:
[0011] Dual-mode cleaning control, divided into cleaning modes based on running time:
[0012] Online dust cleaning (60 seconds < time ≤ 4 hours): The fan does not stop, and the electromagnetic pulse valve sprays in sequence to maintain the normal dust removal process.
[0013] Offline cleaning (time > 4 hours): Stop the fan, cut off the airflow and then spray, using the dust's own weight to improve the cleaning efficiency and reduce the resistance of the filter bag.
[0014] Equipped with a heavy hammer discharger, the dust is discharged by its own weight after cleaning, avoiding dust accumulation in the ash hopper that affects efficiency.
[0015] Structural optimization:
[0016] The dust-laden gas first passes through the ash hopper to separate large dust particles, reducing the load on the filter bags; the fan layout on the top of the box simplifies the system structure.
[0017] The invention patent application has the following shortcomings:
[0018] (1) It only relies on switching the cleaning mode at fixed time intervals without introducing dynamic parameters such as real-time dust concentration and pressure difference. It cannot adapt to sudden changes in dust load (such as short-term high-concentration dust impact), which may lead to untimely cleaning or excessive cleaning.
[0019] (2) The offline cleaning trigger condition (4 hours) is not combined with the actual resistance or dust accumulation, which may lead to unreasonable cleaning timing due to differences in working conditions (such as dust humidity and particle size changes).
[0020] Invention patent application CN111544975A discloses a bag dust collector cleaning method and device, the technical key points of which include:
[0021] Acoustic resonance cleaning technology:
[0022] A harmonic signal is generated by the control unit and converted into sound waves by the transducer. The resonance between the sound waves and the air in the bag is used to separate the dust. No compressed air system is required, which saves energy and reduces equipment maintenance.
[0023] The dynamic pressure sensor detects the resonance state and adjusts the harmonic signal in real time to ensure the cleaning efficiency.
[0024] Non-contact cleaning:
[0025] Avoid the mechanical impact of traditional pulse jet on the filter bag and extend the life of the filter bag; suitable for scenarios with high dependence on compressed air (such as remote areas and high energy consumption scenarios).
[0026] The invention patent application has the following shortcomings:
[0027] (1) Resonance condition restrictions:
[0028] The acoustic resonance effect is greatly affected by the dust collector structure (such as volume, bag layout) and dust characteristics (such as viscosity, particle size). Under complex working conditions, the resonance frequency may shift, resulting in unstable cleaning effect.
[0029] The accuracy of the pressure sensor in detecting resonance is easily affected by background noise and airflow fluctuations, which may lead to misjudgment or omission of the cleaning opportunity.
[0030] (2) Limited application scenarios:
[0031] The dust cleaning effect on high-concentration and high-viscosity dust may be inferior to the traditional injection method, and there is a lack of collaborative strategies with other dust cleaning modes (such as offline dust cleaning), making it difficult to handle extreme working conditions. Summary of the Invention
[0032] In view of this, an embodiment of the present invention provides an automatic dust cleaning control method for a bag filter to solve the problems of low dust cleaning efficiency, high energy consumption, and difficult maintenance in the prior art.
[0033] An automatic dust cleaning control method for a bag filter includes:
[0034] Step S101: Obtain the pressures at the inlet and outlet pipes of the dust collector collected in real time, and calculate the differential pressure P of the dust collector;
[0035] Step S102: Determine the differential pressure range in which the differential pressure P of the dust collector is located;
[0036] Step S103: Match the dust cleaning interval based on the differential pressure range in which the differential pressure P of the dust collector is located, and start pulse injection at the corresponding frequency;
[0037] Among them, the differential pressure ranges include P≤P1, P1<P<P2, P≥P2, and the corresponding dust cleaning intervals are T1, T2, T3 respectively, and T1>T2>T3 is satisfied.
[0038] Further, P1 = 1.2 kPa, P2 = 1.6 kPa, T1 = 60 - 200 s, T2 = 30 - 150 s, T3 = 10 - 100 s.
[0039] Further, after step S103 includes:
[0040] Step S104: Within the first preset duration after injection, detect the chamber concentration every second preset duration. If the concentration is ≥50 mg / Nm³ for three consecutive times and the concentration growth rate > 20 mg / Nm³ / s, it is determined that the corresponding chamber has a broken bag, and an alarm is triggered.
[0041] Further, in step S104, the first preset duration is 10 s, and the second preset duration is 2 s.
[0042] Further, step S104 also includes: triggering offline dust cleaning for the chamber with a broken bag.
[0043] Further, the offline dust cleaning includes: closing the lift valve of the chamber with a broken bag, performing 3 independent injections, and the injection pulse time t0 = 80 - 200 ms.
[0044] Further, the method also includes:
[0045] Step S105: Perform timed calibration every 24 hours to calibrate the pressure difference detection accuracy through fixed interval cleaning.
[0046] Furthermore, the step S105 includes: within the fixed interval cleaning cycle, if the fluctuation amplitude of the dust collector pressure difference P is ≥0.3 kPa, triggering the sensor drift calibration.
[0047] Furthermore, the step S105 includes: if the dust collector pressure difference P≥P2, the calibration is interrupted and the process goes to step S101.
[0048] Furthermore, the method further comprises:
[0049] Step S106: If the dust collector pressure difference P> the shutdown pressure difference P stop Or if the lifting valve fails, it will automatically switch to bypass mode, close the dust collector inlet and outlet damper doors, start the backup dust collector and trigger an alarm.
[0050] The present invention has the following beneficial effects:
[0051] 1. Pressure difference priority-timing calibration dual-mode collaborative control technology
[0052] Gradient response mechanism: through three-level pressure difference threshold (P1 / P2 / P stop ) Construct a three-speed cleaning strategy of "energy saving-balanced-enhanced", which reduces energy consumption by 16.7% and reduces the frequency of resistance exceeding the limit by 60% compared with the traditional single-mode cleaning.
[0053] Timed calibration algorithm: Introducing a 24-hour timed calibration cycle, dynamically adjusting the pressure difference sensor reference value based on actual operating data to solve the zero drift problem in long-term operation (accuracy improved to ±0.1kPa).
[0054] The present invention achieves dynamic gradient control through three-level pressure difference intervals + timed calibration, avoiding the unreasonable cleaning intervals in the existing technology under medium resistance conditions (such as only 'starting when above the upper limit and stopping when below the lower limit,' with no intermediate transition strategy); gradient optimization of mode switching: Different from the traditional "either-or" single-mode control, the present invention constructs a transition interval through P1 / P2, so that the cleaning strategy can be smoothly switched with the change of resistance, avoiding control oscillation caused by frequent mode jumping; through the coupling of injection timing and concentration detection through intelligent algorithms, it solves the problems of bag break positioning and multi-working condition adaptation not addressed by the existing technology (such as the existing technology relying on the absolute value of the pressure difference to control vibration + injection, without mode switching and fault diagnosis).
[0055] 2. Injection timing-concentration mutation coupled bag breakage detection method
[0056] Joint time-space judgment criteria: The leak detector signal is associated with the injection pulse timing, and the broken bag is located through the dual conditions of "concentration ≥50mg / Nm³ within 10s after injection + 3 consecutive violations". Compared with traditional outlet concentration monitoring, the positioning accuracy is improved from 40% to more than 95%; time-space coupling of fault diagnosis: For the first time, the "time window" (10s after injection) and the "concentration threshold" (50mg / Nm³) are combined, and the dust diffusion law is used to accurately locate the broken bag, solving the problem that traditional concentration monitoring cannot distinguish between "normal dust" and "broken bag leakage".
[0057] Partial offline cleaning: The broken bag chamber is isolated and cleaned separately, avoiding plant shutdown and reducing maintenance time from 2 hours to 20 to 35 minutes. BRIEF DESCRIPTION OF THE DRAWINGS
[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0059] Figure 1 Schematic diagram of the process of the automatic dust cleaning control method of the bag filter of the present invention;
[0060] Figure 2 The figure is a logic flow chart of the automatic dust cleaning control method of the bag filter of the present invention, which presents a complete control closed loop of the system from initialization to fault handling;
[0061] Figure 3 This is the logic flow chart of bag breakage positioning in the present invention, which details the core logic of bag breakage detection of "injection timing-concentration mutation coupling";
[0062] Figure 4 This is a hardware connection diagram of the dual-mode automatic dust cleaning system in the present invention. The diagram shows the hardware architecture of the system and the signal flow between modules. The core includes the collaborative relationship between the detection module, control module, and execution module. DETAILED DESCRIPTION
[0063] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.
[0064] It should be understood that the embodiments described are only a portion of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work are within the scope of protection of the present invention.
[0065] The present invention specifically relates to an automatic dust cleaning system and control method for a bag filter integrated with differential pressure feedback and timing strategy, which is applicable to the efficient dust cleaning control and fault diagnosis of bag filters in the industrial flue gas dust removal process. The present invention adopts a dual-mode gradient response algorithm:
[0066] In the differential pressure priority mode, a three-level differential pressure interval (P≤P1, P1<P<P2, P≥P2) is used to construct an 'energy-saving - balance - strengthening' three-level dust cleaning strategy. Different from the traditional single-threshold trigger, it realizes the transition of the dust cleaning frequency with the change of resistance (such as T1 / T2 / T3 decreasing in gradient to avoid frequent mode jumps);
[0067] The timing calibration mode runs for 1 fixed interval period (T fix =100s) every 24 hours. By collecting the resistance fluctuation data within this period (such as triggering sensor drift calibration when the fluctuation amplitude ≥ 0.3kPa), it solves the problem of the attenuation of sensor accuracy during long-term operation not involved in the prior art. After calibration, the differential pressure detection error ≤ ±0.05kPa.
[0068] An embodiment of the present invention provides an automatic dust cleaning control method for a bag filter, as Figure 1-2 shown, including:
[0069] Step S101: Obtain the pressures at the inlet and outlet pipes of the dust collector collected in real time, and calculate the differential pressure / resistance P of the dust collector;
[0070] This step is the differential pressure priority mode (main mode) in the dual-mode dynamic switching logic (dual-mode gradient response algorithm). As Figure 2 shown, after the system is powered on, it defaults to the differential pressure priority mode, imports the preset differential pressure thresholds P1 / P2 and time parameters T1 / T2 / T3, and supports manual calibration (such as input through the operator interface). Specifically, in implementation, this step can be realized through a differential pressure detection unit and a dust concentration detection unit. Differential pressure detection unit: Install a high-precision differential pressure sensor (range 0 - 5kPa, accuracy ±0.5%) at the inlet and outlet pipes of the dust collector to collect the equipment resistance P (unit: kPa) in real time; Dust concentration detection unit (bag leak detector): Install bag leak detectors (detection range 0 - 200mg / Nm³, response time ≤ 5s) at least in each chamber and even at the outlet of the dust collector to monitor the change of the dust concentration after spraying.
[0071] Step S102: Judge the differential pressure interval where the differential pressure P of the dust collector is located;
[0072] Step S103: Match the dust cleaning interval based on the differential pressure interval where the differential pressure P of the dust collector is located, and start the pulse injection at the corresponding frequency;
[0073] Among them, the pressure difference intervals include P≤P1, P1<P<P2, and P≥P2, and the corresponding dust cleaning intervals are T1, T2, and T3 respectively, and T1>T2>T3 is satisfied.
[0074] During specific implementation, when P≤P1 (low resistance state): long interval T1 is used for dust cleaning to reduce the spraying frequency and energy consumption; when P1<P<P2 (medium resistance state): switch to intermediate interval T2 for dust cleaning to balance the dust cleaning efficiency and energy consumption; when P≥P2 (high resistance state): start short interval T3 for dust cleaning to strengthen the spraying frequency and prevent the resistance from exceeding the limit. The spraying can be carried out through a dust cleaning execution unit, and the dust cleaning execution unit can include a pulse valve group (response time ≤ 10ms), a lift valve (supporting online / offline dust cleaning modes), and the spraying control is realized through a pneumatic actuator.
[0075] Preferably, the low dust cleaning value P1 = 1.2 kPa, the high value P2 = 1.6 kPa, and a pressure hysteresis interval is reserved to avoid the threshold jitter problem of the prior art and prevent frequent start and stop caused by pressure difference fluctuations. The long interval T1 = 60 - 200 s (when P≤P1), the intermediate interval T2 = 30 - 150 s (when P1<P<P2), the short interval T3 = 10 - 100 s (when P≥P2), and T1>T2>T3 is satisfied. During specific implementation, these core parameters can be preset in the control module (i.e., the central controller) to integrate the dual-mode switching algorithm and the broken bag linkage logic.
[0076] As an optional embodiment, after step S103, it includes:
[0077] Step S104: Within the first preset duration after spraying, the concentration of the chamber is detected every second preset duration. If the concentration ≥ 50 mg / Nm³ for three consecutive times and the concentration growth rate > 20 mg / Nm³ / s, it is determined that the corresponding chamber has a broken bag, and an alarm is triggered.
[0078] Preferably, in step S104, the first preset duration is 10 s, and the second preset duration is 2 s.
[0079] This step adopts a space-time combined criterion algorithm. During specific implementation, as Figure 2-3 shown, a'misting row number - concentration measurement point' mapping table can be established (when misting 'chamber 2 - row 4', only associate the corresponding leak detector measurement point of this row). Different from the overall concentration monitoring of the prior art, it realizes precise positioning at the single row of cloth bag level. Adopting the triple criterion of 'detecting the concentration every 2 s within 10 s after spraying, if the detection value ≥ 50 mg / Nm³ for three consecutive times (i.e., within 6 s) and the concentration growth rate > 20 mg / Nm³ / s' excludes the interference of 'normal spraying dust' that cannot be recognized by the prior art, and the positioning accuracy rate is increased from ≤ 50% of the prior art to more than 95%.
[0080] Preferably, step S104 also includes triggering offline cleaning of the chamber with a broken bag. Specifically, this triggers offline cleaning of the chamber (closing the poppet valve and spraying three times individually), highlights the location of the broken bag on the operator interface (e.g., "Chamber 2 - Row 4"), and simultaneously sends an alarm text message to the operation and maintenance terminal. The alarm unit can be a local and remote audible and visual alarm, displaying the chamber number and abnormal concentration value when a bag breaks. In this way, step S104 achieves precise location and linkage of the broken bag.
[0081] Preferably, the offline cleaning includes closing the bag-breaking chamber lift valve and performing three independent injections, with an adjustable injection pulse time t0 of 80-200ms. This separate and isolated cleaning of the bag-breaking chamber avoids plant shutdown and reduces maintenance time from two hours to 20 to 35 minutes.
[0082] As another optional embodiment, the method further includes:
[0083] Step S105: Perform timed calibration every 24 hours to calibrate the pressure difference detection accuracy through fixed interval cleaning.
[0084] This step is the timed calibration mode (auxiliary mode) in the dual-mode dynamic switching logic. It automatically switches to the timed calibration mode and runs one cycle every 24 hours to calibrate the drift error of the differential pressure sensor.
[0085] Preferably, the step S105 includes: if the fluctuation amplitude of the dust collector pressure difference P is ≥0.3kPa during the fixed interval cleaning cycle, the sensor drift calibration is triggered; or, the step S105 includes: if the dust collector pressure difference P is ≥P2, the calibration is interrupted and the process goes to step S101.
[0086] In specific implementation, it automatically switches to the timed calibration mode every 24 hours and runs a fixed interval cycle (such as T fix = 100s), record resistance fluctuation data, and calibrate the differential pressure sensor drift error (error correction ≤ ±0.05kPa). If the pressure difference ≥ P2 during calibration, the differential pressure mode is triggered first to interrupt calibration to ensure equipment safety.
[0087] As another optional embodiment, the method further includes:
[0088] Step S106: If the dust collector pressure difference P> the shutdown pressure difference P stop Or if the lifting valve fails (such as the feedback signal is abnormal for more than 30 seconds), it will automatically switch to bypass mode, close the dust collector inlet and outlet damper doors, start the backup dust collector and trigger a (plant-wide) alarm.
[0089] This step is a fault protection mechanism. stop =2.5kPa. In addition, the high pressure difference alarm value P can be sethigh =2.0kPa, when P>P high When the alarm unit is triggered, the alarm will sound.
[0090] Implementation Cases:
[0091] In a 750t / d domestic waste incineration project, the hardware deployment solution can be as follows: Figure 4 As shown, specifically:
[0092] Sensor installation:
[0093] Pressure difference detection unit: A high-precision pressure difference sensor (range 0-5kPa, accuracy ±0.5%) is installed on the inlet and outlet pipes of the dust collector to collect the equipment resistance P (unit: kPa) in real time.
[0094] Dust concentration detection unit (bag leak detector): A bag leak detector (detection range 0-200mg / Nm³, response time ≤5s) is installed in each chamber and at the dust collector outlet to monitor changes in smoke concentration after injection.
[0095] Regarding the implementing agencies:
[0096] Pulse valve group: using submerged electromagnetic pulse valve, the blowing pressure is 0.4-0.6MPa, and the single valve blowing time t0=150ms (default value).
[0097] Lift valve: pneumatic butterfly valve, closing time ≤ 5s, with position feedback signal (open / close status).
[0098] After applying this system:
[0099] Cleaning energy consumption: 16.7% lower than traditional timing mode;
[0100] Bag breakage processing time: shortened from an average of 2 hours to 20 to 35 minutes, avoiding excessive emission accidents caused by bag breakage;
[0101] Bag life: The average replacement cycle was extended from 11 months to 13 months, and maintenance costs decreased by 18.2%.
[0102] In summary, the present invention provides an automatic dust cleaning system and method that can dynamically switch dust cleaning strategies based on real-time resistance, accurately locate broken bag locations, and adaptively optimize parameters, thereby solving the problems of low dust cleaning efficiency, high energy consumption, and difficult maintenance in the prior art. The present invention has the following beneficial effects:
[0103] 1. Pressure difference priority-timing calibration dual-mode collaborative control technology
[0104] Gradient response mechanism: through three-level pressure difference threshold (P1 / P2 / P stop) Construct a three-speed cleaning strategy of "energy saving-balanced-enhanced", which reduces energy consumption by 16.7% and reduces the frequency of resistance exceeding the limit by 60% compared with the traditional single-mode cleaning.
[0105] Timed calibration algorithm: Introducing a 24-hour timed calibration cycle, dynamically adjusting the pressure difference sensor reference value based on actual operating data to solve the zero drift problem in long-term operation (accuracy improved to ±0.1kPa).
[0106] The present invention achieves dynamic gradient control through three-level pressure difference intervals + timed calibration, avoiding the unreasonable cleaning intervals in the existing technology under medium resistance conditions (such as only 'starting when above the upper limit and stopping when below the lower limit,' with no intermediate transition strategy); gradient optimization of mode switching: Different from the traditional "either-or" single-mode control, the present invention constructs a transition interval through P1 / P2, so that the cleaning strategy can be smoothly switched with the change of resistance, avoiding control oscillation caused by frequent mode jumping; through the coupling of injection timing and concentration detection through intelligent algorithms, it solves the problems of bag break positioning and multi-working condition adaptation not addressed by the existing technology (such as the existing technology relying on the absolute value of the pressure difference to control vibration + injection, without mode switching and fault diagnosis).
[0107] 2. Injection timing-concentration mutation coupled bag breakage detection method
[0108] Joint time-space judgment criteria: The leak detector signal is associated with the injection pulse timing, and the broken bag is located through the dual conditions of "concentration ≥50mg / Nm³ within 10s after injection + 3 consecutive violations". Compared with traditional outlet concentration monitoring, the positioning accuracy is improved from 40% to more than 95%; time-space coupling of fault diagnosis: For the first time, the "time window" (10s after injection) and the "concentration threshold" (50mg / Nm³) are combined, and the dust diffusion law is used to accurately locate the broken bag, solving the problem that traditional concentration monitoring cannot distinguish between "normal dust" and "broken bag leakage".
[0109] Partial offline cleaning: The broken bag chamber is isolated and cleaned separately, avoiding plant shutdown and reducing maintenance time from 2 hours to 20 to 35 minutes.
[0110] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.
Claims
1. A bag filter automatic dust cleaning control method, characterized in that: Comprising: Step S101: Obtain the pressures at the inlet and outlet pipes of the dust collector collected in real time, and calculate the differential pressure P of the dust collector; Step S102: Determine the differential pressure range in which the differential pressure P of the dust collector is located; Step S103: Match the cleaning interval based on the differential pressure range in which the differential pressure P of the dust collector is located, and initiate pulse jetting at the corresponding frequency; Wherein, the differential pressure ranges include P≤P1, P1<P<P2, P≥P2, and the corresponding cleaning intervals are T1, T2, T3 respectively, and T1>T2>T3 is satisfied.
2. The automatic dust cleaning control method for bag filter according to claim 1, characterized in that: P1 = 1.2 kPa, P2 = 1.6 kPa, T1 = 60 - 200 s, T2 = 30 - 150 s, T3 = 10 - 100 s.
3. The automatic dust cleaning control method for bag filter according to claim 1, characterized in that: After the step S103 includes: Step S104: Within the first preset duration after jetting, detect the chamber concentration every second preset duration. If the concentration is ≥50 mg / Nm³ for three consecutive times and the concentration growth rate > 20 mg / Nm³ / s, it is determined that the corresponding chamber has a broken bag, and an alarm is triggered.
4. The automatic dust cleaning control method for bag filter according to claim 3, characterized in that: In the step S104, the first preset duration is 10 s, and the second preset duration is 2 s.
5. The automatic dust cleaning control method for bag filter according to claim 3, characterized in that: The step S104 further includes: For the chamber with a broken bag, trigger offline cleaning.
6. The automatic dust cleaning control method for bag filter according to claim 5, characterized in that: The offline cleaning includes: Closing the lift valve of the broken bag chamber, performing 3 independent jetting operations, and the jetting pulse time t0 = 80 - 200 ms.
7. The automatic dust cleaning control method for a bag filter according to any one of claims 1 to 6, characterized in that: The method further includes: Step S105: Perform a timed calibration every 24 hours to calibrate the differential pressure detection accuracy through cleaning at a fixed interval.
8. The automatic dust cleaning control method for bag filter according to claim 7, characterized in that: The step S105 includes: During the fixed interval cleaning cycle, if the fluctuation range of the differential pressure P of the dust collector ≥ 0.3 kPa, trigger sensor drift calibration.
9. The automatic dust cleaning control method for bag filter according to claim 7, characterized in that: The step S105 includes: If the differential pressure P of the dust collector ≥ P2, interrupt the calibration and transfer to step S101.
10. The automatic dust cleaning control method for bag filter according to claim 7, characterized in that: The method further includes: Step S106: If the dust collector pressure difference P> the shutdown pressure difference P stop Or if the lifting valve fails, it will automatically switch to bypass mode, close the dust collector inlet and outlet damper doors, start the backup dust collector and trigger an alarm.
Citation Information
Patent Citations
Control technology of heavy punch unloader type small pulsed jet cloth filter
CN107081018A
Bag-type dust collector ash removal method and device
CN111544975A
Dust collector bag leakage positioning and fault diagnosis system
CN107643149A
Dust removal chamber leaking bag detection method and dust removal chamber leaking bag detection device
CN109682730A
Treatment system and treatment method for chemical production waste gas
CN120037745A
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