Centralized desulfurization demister control system

Abstract

The invention relates to the field of environmental protection equipment, and discloses a centralized desulfurization demister control system which comprises a data recording and analyzing module, an automatic adjusting and alarming module, a wind speed adjusting and blocking control module and a manual intervention and alarming response module. The data recording and analyzing module is used for recording fogdrop data of the desulfurization demister in real time and analyzing and processing the data; the automatic regulation and alarm module automatically judges and regulates the wind speed based on the data analysis result, and sends an alarm signal when automatic regulation cannot return to normal; the air speed adjusting and blocking control module is used for adjusting the air speed of the desulfurization demister, optimizing the airflow effect and controlling the blocking action of the equipment; and the manual intervention and alarm response module is used for providing an alarm response and manual intervention interface, and when the system cannot return to a normal state through automatic adjustment, a worker performs intervention. The demister has the advantages of automatically adjusting the performance of the demister in real time and adapting to the change of the flue gas flow rate.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection equipment, and particularly to a centralized desulfurization and demisting control system. Background Art

[0002] "Gypsum-lime stone" wet desulfurization is the mainstream technology in the flue gas desulfurization industry at present. After the flue gas is washed through the spray layer and the SO2 therein is removed, it still contains a large amount of tiny dust and droplets. If not treated, it will cause phenomena such as "gypsum rain" at the chimney discharge, causing serious pollution to the environment. And for the current mainstream technology of demisting flue gas, whether it is a ridge-type demister or a tube bundle-type demister, it mainly depends on the high-speed flowing flue gas colliding with the demister, thereby collecting the tiny dust and droplets in the flue gas, and then washing the aggregated dust and droplets into the slurry through the flushing water system. The current demisters do not have external energy, but use the flow rate of the flue gas itself for dust removal and demisting. However, when the load of the unit generating the flue gas changes, the flue gas flow rate will change accordingly. When the unit load is too low or too high, the flue gas flow rate is too large or too small, thus reducing the performance of the demister. In response to this situation, currently each operating company mainly conducts manual plugging to adjust the performance of the demister. And manual plugging, on the one hand, requires opening the absorption tower after shutdown, thus having great limitations and lag. Therefore, it is very necessary to design a centralized desulfurization and demisting control system that improves the demisting efficiency. Summary of the Invention

[0003] Technical Problems to be Solved Aiming at the deficiencies of the prior art, the present invention provides a centralized desulfurization and demisting control system, which has the advantages of real-time automatic adjustment of the demister performance and adaptation to the change of flue gas flow rate, and solves the problems in the above background art.

[0004] Technical Solutions To achieve the above purpose of real-time automatic adjustment of the demister performance and adaptation to the change of flue gas flow rate, the present invention provides the following technical solutions: A centralized desulfurization and demisting control system includes a data recording and analysis module, an automatic adjustment and alarm module, a wind speed adjustment and plugging control module, and an artificial intervention and alarm response module; The data recording and analysis module is used to record the droplet data of the desulfurization and demisting device in real time, and analyze and process the data.

[0005] Preferably, the data recording and analysis module further includes real-time monitoring of the key parameters of the desulfurization and demisting device through a variety of sensors, in-depth analysis of the data using data analysis algorithms, real-time evaluation of the equipment operation status, and generation of an analysis report. Based on historical data and real-time data, the future status of the equipment is predicted through a prediction algorithm, and possible failures or performance decline are identified in advance.

[0006] The automatic adjustment and alarm module automatically determines and adjusts the wind speed based on the data analysis results, and sends out an alarm signal when the automatic adjustment cannot return to normal.

[0007] Preferably, the automatic adjustment and alarm module further includes generating a wind speed-droplet theoretical relationship curve through real-time collected wind speed and droplet data using a machine learning algorithm, and automatically calculating the wind speed range. The system updates the upper and lower limits of the wind speed in real time according to different working conditions. When the wind speed deviates from the set range, the blocking device is automatically adjusted, and the control system adjusts the blocking state of the defogger through the actuator. If the blocking device cannot return to normal, the alarm module will be activated, prompting the operator to intervene through graphics and sound.

[0008] Preferably, the use of a machine learning algorithm to generate a wind speed-droplet theoretical relationship curve and automatically calculating the wind speed range includes using a regression model in machine learning, and the relationship between wind speed and droplet concentration is: , where is the model function obtained through machine learning algorithm training, C is the droplet concentration; set an acceptable range of droplet concentration , by calculating the upper and lower limits of the droplet concentration corresponding to the wind speed, the wind speed range is obtained, the formula is as follows: ; ; In the formula, and are the lower and upper limits of wind speed; and are the minimum and maximum values ​​of the droplet concentration; It is an inverse function, indicating that for a given droplet concentration C, the corresponding wind speed V is calculated; Based on the calculated upper and lower limits of wind speed, the system automatically adjusts; when When the wind speed increases, blockage is increased; when When the wind speed is high, remove some of the blockages to reduce the wind speed; when The wind speed remains constant.

[0009] The wind speed regulation and blocking control module is used to adjust the wind speed of the desulfurization demister, optimize the airflow effect, and control the blocking action of the equipment.

[0010] Preferably, the wind speed regulation and plugging control module further includes, by monitoring the operation status of the equipment in real time, combining a variable frequency drive, an electric valve, and a fan speed regulator, optimizing the wind speed using an algorithm based on the real-time parameters of the equipment operation, and controlling the opening and closing of the demister plugging device through an electric or pneumatic actuator, coordinating the wind speed and plugging control, and optimizing the air flow path.

[0011] Preferably, an adaptive control algorithm is adopted to dynamically adjust the wind speed in combination with the real-time parameters. The optimization formula for the wind speed is as follows: ; In the formula, is the optimized wind speed at the current moment; is the initial set wind speed reference value; T(t) is the current air flow temperature; is the ideal temperature reference value; H(t) is the current humidity; is the ideal humidity reference value; Q(t) is the current air flow rate; is the ideal air flow rate reference value; is the current demisting efficiency; is the ideal demisting efficiency reference value; is the adjustment coefficient, indicating the influence weight of different parameters on the wind speed optimization.

[0012] The manual intervention and alarm response module is used to provide an alarm response and a manual intervention interface. When the system cannot return to the normal state through automatic adjustment, the staff intervenes.

[0013] Preferably, the manual intervention and alarm response module further includes, by monitoring the wind speed and the equipment status in real time, automatically triggering an alarm and transmitting it to the staff through graphics, sound effects, and text prompts. When the wind speed exceeds the preset upper and lower limits and cannot return to normal through automatic adjustment, the alarm system classifies different fault types and sets different priorities for each type of alarm. The staff manually adjusts the equipment or the plugging device through the human-machine interface and views the operation records and alarm information in real time. All manual intervention operations and feedback results will be recorded and provide data support for subsequent analysis and optimization.

[0014] Preferably, the priority calculation formula is as follows: ; In the formula, P is the alarm priority; are the weight coefficients of the wind speed deviation, the influence range, the fault duration, and the recovery difficulty respectively; is the wind speed deviation; I is the influence range; D is the fault duration; R is the recovery difficulty.

[0015] Advantageous Effects Compared with the prior art, the present invention provides a centralized desulfurization and demisting control system, which has the following advantageous effects: Through the collaborative work of four major modules, namely data recording and analysis, automatic regulation and alarm, wind speed regulation and plugging control, and manual intervention and alarm response, the present invention realizes the precise monitoring and intelligent regulation of the operation status of the desulfurization demister. The system can record and analyze key operation data in real time, use the automatic regulation mechanism to dynamically optimize the wind speed, improve the demisting efficiency, and quickly alarm in case of abnormalities to ensure the stable operation of the equipment. The wind speed regulation and plugging control module dynamically adjusts the wind speed and air flow distribution by automatically controlling the plugging device without manual shutdown operation, avoiding the limitations and lag of the traditional manual plugging method, thereby improving the overall performance of the desulfurization system. The manual intervention module provides an intuitive alarm response and adjustment interface for operators, enabling them to quickly intervene and precisely adjust when the automatic regulation cannot restore normal. The system improves the automation level of the desulfurization demister, reduces the need for manual intervention, overcomes the drawback of traditional manual plugging that requires shutdown operation, enhances the real-time, stability and reliability of the system, helps to improve the desulfurization efficiency and reduce energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic structural diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] The present invention provides a technical solution: a centralized desulfurization demister control system, including a data recording and analysis module, an automatic regulation and alarm module, a wind speed regulation and plugging control module, and a manual intervention and alarm response module; The data recording and analysis module is used to record the droplet data of the desulfurization demister in real time, and analyze and process the data; Specifically, the droplet data includes but is not limited to wind speed, temperature, humidity, etc.; the process of analyzing and processing the data is as follows: a relationship model between parameters such as wind speed, temperature, humidity and demisting efficiency is established by using the regression analysis algorithm, and the current demisting efficiency is evaluated in real time through the model to determine whether it is within the normal range. If not, it indicates abnormal operation, otherwise, the operation is normal; After the model is constructed and verified, it is used to monitor the demisting efficiency of the desulfurization demister in real time.

[0019] Real-time input: Input parameters such as wind speed, temperature, humidity, etc. into the trained regression model.

[0020] Dew removal efficiency prediction: Calculate the current dew removal efficiency according to the model.

[0021] Abnormal detection: Determine whether the current dew removal efficiency is within the normal range according to the preset normal dew removal efficiency range (for example, determine the normal range through empirical values, historical data or engineering standards).

[0022] If the predicted dew removal efficiency is within the normal range, it indicates that the equipment is operating normally.

[0023] If the predicted dew removal efficiency exceeds the normal range, an alarm is triggered, indicating that there may be an abnormal operation, and it is necessary to further check the equipment status or take adjustment measures.

[0024] The automatic adjustment and alarm module automatically judges and adjusts the wind speed based on the data analysis results, and issues an alarm signal when the automatic adjustment cannot restore normal.

[0025] Use machine learning algorithms to generate the theoretical relationship curve between wind speed and fog droplets, and automatically calculate the wind speed range, including using the regression model in machine learning. The relationship between wind speed and fog droplet concentration is: , where is the model function obtained through machine learning algorithm training, C is the fog droplet concentration; set a qualified range of fog droplet concentration , by calculating the upper and lower limits of the fog droplet concentration corresponding to the wind speed, the wind speed range is obtained, and the formula is as follows: ; ; where and are the lower and upper limits of the wind speed; and are the minimum and maximum values of the set fog droplet concentration; is the inverse function, indicating that for a given fog droplet concentration C, the corresponding wind speed V is calculated; Based on the calculated upper and lower limits of the wind speed, the system makes automatic adjustments; When , increase the blockage to increase the wind speed; When , remove part of the blockage to reduce the wind speed; When , the wind speed remains unchanged.

[0026] The system will judge whether the current operation status of the desulfurization and dew removal device is within the normal range based on real-time monitoring data (such as wind speed, temperature, humidity, etc.). The judgment process is as follows: The system obtains multiple parameters in real time: Wind speed: Real-time monitoring through a wind speed sensor.

[0027] Temperature: Monitor the ambient temperature and the internal temperature of the system through a temperature sensor.

[0028] Humidity: Monitor the air humidity through a humidity sensor.

[0029] Defogging efficiency: Obtain the defogging efficiency in real time by analyzing the data model or directly measuring the sensor values.

[0030] Using the previously constructed regression analysis model, combine the input data such as wind speed, temperature, and humidity to calculate the current defogging efficiency. Compare the current defogging efficiency with the preset normal range. If the current efficiency deviates from the normal range, it indicates that there is an abnormality in the system and adjustment may be required. For example, set the normal defogging efficiency range as , if the current defogging efficiency exceeds this range, trigger the adjustment or alarm mechanism. If the current defogging efficiency is lower than the set normal range (e.g., due to too low wind speed to effectively remove the fog droplets), the system needs to adjust the wind speed to improve the defogging efficiency. If the current defogging efficiency is higher than the set normal range (e.g., excessive wind speed causes other problems), the wind speed can be considered to be reduced.

[0031] When the system determines that the wind speed needs to be adjusted, the automatic adjustment is achieved through the following steps: A1. Select the adjustment strategy: Increase the wind speed: If the defogging efficiency is lower than the normal range, it may be that the wind speed is insufficient. At this time, the system can increase the wind speed by adjusting the fan speed or the air flow rate.

[0032] Decrease the wind speed: If the defogging efficiency is too high, the system may need to reduce the wind speed to avoid other problems (such as too many fog droplets being carried away, affecting other process operations).

[0033] A2. Wind speed adjustment control: The control system executes the adjustment: Automatically adjust the wind speed through a wind speed adjustment device (such as a frequency converter, a fan regulating valve, etc.). The specific operation is as follows: Increase the wind speed: Increase the wind speed by increasing the fan speed or adjusting the intake air volume.

[0034] Decrease the wind speed: Decrease the wind speed by reducing the fan speed or restricting the intake air volume.

[0035] The change in wind speed will affect the driving force of the air flow, thus affecting the removal efficiency of the fog droplets. The system adjusts the wind speed according to the real-time feedback data until the best defogging effect is achieved.

[0036] A3. Wind speed adjustment monitoring: The system monitors the change in wind speed in real time and ensures that the adjusted wind speed reaches the set target. Through the wind speed sensor, confirm in real time whether the wind speed is within the target range.

[0037] In some cases, automatic adjustment may not be able to restore the defogging efficiency to the normal range, and in this situation, it is necessary to trigger the alarm mechanism. The alarm process includes: B1. Determine whether the automatic adjustment is successful: Re-evaluate the defogging efficiency: After adjusting the wind speed, the system re-evaluates the defogging efficiency through the regression analysis model again. If the defogging efficiency has returned to the normal range , it indicates that the wind speed adjustment is successful and the system returns to normal. If the defogging efficiency still fails to return to the normal range, the system needs to determine whether there is equipment failure or other factors that cause the problem to be unsolvable.

[0038] B2. Trigger the alarm: If the defogging efficiency still cannot return to normal after automatic adjustment, the system will trigger the alarm in the following ways: Send an alarm signal: Send an alarm signal through the control system, which may include: Audible and visual alarm: For example, the buzzer emits a warning sound, or the control panel displays a red warning light.

[0039] Alarm on the system monitoring platform: If the system is integrated into a centralized control platform, the system will send an exception alarm through this platform.

[0040] SMS / email notification: If the system supports remote monitoring, the alarm information can be sent to the operator via SMS or email to ensure timely manual intervention.

[0041] B3. Alarm type: Minor alarm: If the problem is minor, the system may only issue a warning reminder to inform the operator that the wind speed adjustment has not fully returned to normal, but it will not affect the overall equipment operation.

[0042] Severe alarm: If the defogging efficiency is still abnormal and the automatic adjustment cannot restore it, the system may issue a severe alarm, indicating that the equipment may have a fault or needs to be checked immediately.

[0043] By automatically adjusting the wind speed, the equipment can adjust the wind speed according to the defogging efficiency requirements, avoiding energy waste. Especially when the defogging efficiency is close to normal, reducing the wind speed helps to save energy. Automatic adjustment can ensure that the equipment continuously maintains the optimal operating state, improve the overall defogging efficiency, and reduce the performance degradation caused by wind speed mismatch. The automatic adjustment and alarm mechanism can detect and handle abnormalities in a timely manner, improve the reliability of the equipment, reduce the fault downtime, and extend the service life of the equipment. The automatic adjustment can reduce human operation errors and ensure more stable equipment operation. Based on historical data analysis, the system can conduct trend analysis on the equipment status and predict potential faults in advance. For example, if the equipment has been in a state of frequently adjusting the wind speed for a long time, the system can prompt possible equipment faults or maintenance requirements.

[0044] The wind speed adjustment and plugging control module is used to adjust the wind speed of the desulfurization demister, optimize the air flow effect, and control the plugging action of the equipment at the same time.

[0045] Wind speed adjustment is an important part of optimizing the performance of the desulfurization demister, directly affecting the demisting effect, energy consumption, and equipment stability. Too high or too low wind speed will lead to a decrease in efficiency or an increase in energy consumption. Therefore, wind speed adjustment must be precise and intelligent. The goals of wind speed adjustment include the following factors: Demisting efficiency: Based on the real-time data of demisting efficiency, judge whether the current wind speed meets the best demisting effect.

[0046] Process requirements: Set the target wind speed range according to different desulfurization process requirements.

[0047] Energy efficiency requirements: On the premise of ensuring the demisting effect, try to reduce the wind speed and energy consumption.

[0048] By monitoring the data of environmental conditions (such as temperature, humidity, air flow rate, etc.) and demisting efficiency in real time, the system can calculate a target wind speed.

[0049] The wind speed adjustment methods include: by adjusting the rotation speed of the fan (through a frequency converter or a fan speed control system), the increase and decrease of the wind speed are realized. The change of the wind speed directly affects the air flow rate, and then affects the demisting effect. If the demisting efficiency is low (such as incomplete removal of fog droplets), the wind speed needs to be increased to enhance the driving force of the air flow and help remove more fog droplets. If the demisting efficiency is high (such as excessive removal of fog droplets or causing other adverse effects), the wind speed needs to be reduced to avoid too strong air flow. By controlling the opening degree of the intake valve, the air volume entering the system is adjusted, thereby indirectly adjusting the wind speed. Controlling the air intake volume can adjust the air flow distribution without changing the wind speed. In some specific cases, the flow direction and speed of the air flow can be optimized by changing the structure of the air flow channel or the opening and closing of the air duct. The adjusted wind speed will be fed back to the system in real time through a wind speed sensor. The system will monitor the wind speed change in real time to ensure the accuracy and stability of the wind speed change. If the wind speed deviates from the preset target value, the system will automatically make fine adjustments to ensure that the equipment remains within the optimal wind speed range.

[0050] An adaptive control algorithm is adopted to dynamically adjust the wind speed in combination with real-time parameters. The optimization formula of the wind speed is as follows: ; In the formula, is the optimized wind speed at the current moment; is the initial set wind speed reference value; T(t) is the current air flow temperature; is the ideal temperature reference value; H(t) is the current humidity; is the ideal humidity reference value; Q(t) is the current air flow rate; is the ideal air flow rate reference value; is the current demisting efficiency; is the reference value of the ideal demisting efficiency; is the adjustment coefficient, indicating the influence weight of different parameters on the optimization of the wind speed.

[0051] The key to optimizing the air flow effect lies in achieving the best droplet removal efficiency and avoiding unnecessary energy waste through reasonable wind speed adjustment and air flow distribution control. Optimizing the air flow effect includes: The uniformity of the air flow distribution is crucial for the demisting effect. If the air flow distribution is uneven, it may cause the droplets not to be completely carried away, or too many droplets in a certain area to be carried away, resulting in excessive drying. By optimizing the design of the air duct, the layout of the fan, and the distribution of the intake pipe, ensure that the air flow is evenly distributed throughout the desulfurization demister. The uniform air flow distribution helps the droplets to be effectively removed throughout the system, avoiding the situation that the droplets in local areas are not removed or over-removed. Install adjustable air valves at different positions to adjust the air flow rate in different areas. Through the adjustment of the air valves, the system can dynamically adjust the air flow distribution to achieve more precise air flow control and ensure a balanced demisting effect. To ensure the stability and continuity of the air flow, the system also needs to optimize the start-up and stop processes of the fan to avoid the influence of air flow fluctuations on the demisting effect: Control the start-up and stop of the fan through a frequency converter to avoid the instability of the air flow caused by suddenly changing the wind speed. During the wind speed adjustment process, combine the demisting efficiency and the equipment status to adjust the wind speed in real time to make the air flow more stable and steady, maximizing the demisting efficiency. Through real-time monitoring and data analysis, the system will dynamically adjust the wind speed and air flow to make their relationship with the demisting efficiency closer. The system uses regression analysis or machine learning models to evaluate the influence of the current wind speed on the demisting efficiency, so as to make the best adjustment decision.

[0052] The main task of the plugging control is to control the plugging actions inside the equipment, ensure that the desulfurization demister can effectively block the air flow when needed, maintain good fluidity of the air flow inside the system, and avoid excessive ash accumulation or blockage in the system, which may lead to a decline in equipment efficiency or damage. Controlling the plugging actions of the equipment includes that when the air flow is too strong, it may cause excessive loss of droplets in the demister, and conversely, when the air flow is too weak, the demisting efficiency is low. At this time, the system may optimize the air flow velocity by plugging some air flow channels. When there is ash accumulation or droplet aggregation inside the equipment, it may cause blockage inside the equipment. At this time, the system can prevent certain air flow paths through plugging control to avoid further ash accumulation. When the wind speed adjustment cannot achieve the expected effect, the plugging device can play a short-term alleviating role, reduce the air flow, and improve the air flow distribution. Install gates at specific positions of the desulfurization demister, and adjust the gate opening through electric or pneumatic devices to control the air flow channel and achieve the plugging effect. Through precise control of the gates, the instability of the equipment caused by excessive air flow can be avoided. Install adjustable air valves in the air duct, and dynamically adjust the air flow path according to the wind speed, air flow distribution and system status to achieve plugging of the air flow in some areas. When the system needs to adjust the wind speed, the plugging device can cooperate to ensure uniform distribution of the air flow. In this way, plugging is not only a response to emergencies, but also plays a role in fine adjustment during daily operations. By reasonably plugging some air ducts, the air flow resistance and unnecessary energy consumption can be reduced.

[0053] By precisely adjusting the wind speed and optimizing the air flow distribution, the desulfurization demister can achieve higher demisting efficiency with lower energy consumption. The synergistic effect of wind speed adjustment and air flow optimization can significantly improve the processing capacity and efficiency of the desulfurization demister, and avoid excessive energy consumption caused by too high wind speed. By adjusting the wind speed and achieving optimized distribution of the air flow, the system can reduce the energy consumption of the fan and the air flow resistance of the air duct without sacrificing the demisting efficiency, achieving an energy-saving effect. Reasonable wind speed control and air flow optimization help reduce the equipment burden, reduce equipment damage caused by problems such as uneven wind speed and excessive ash accumulation, and extend the service life of the equipment. At the same time, the plugging control can also effectively avoid blockage inside the system and prevent equipment failures.

[0054] The manual intervention and alarm response module is used to provide an alarm response and a manual intervention interface. When the system cannot return to the normal state through automatic adjustment, the staff will intervene.

[0055] When the system detects that the wind speed exceeds the preset upper and lower limits and cannot return to the normal state through automatic adjustment, the alarm module will automatically trigger an alarm. The alarm information is transmitted to the staff through means such as graphics, sound effects, and possibly text prompts. The alarm module sends real-time alarm signals to the staff through interaction with the human-machine interface, displaying wind speed over-limit, equipment status, and specific fault information to help the staff quickly locate the problem. According to factors such as the deviation degree of the wind speed and the influence range of the system, the alarm system can set different priorities and classifications to ensure that the staff can distinguish different types of alarms and reasonably arrange the handling order.

[0056] The alarm system classifies different fault types, including wind speed deviation, influence range, fault duration, and recovery difficulty, and sets different priorities for each type of alarm to ensure that key problems are given priority responses. The priority calculation formula is as follows: ; In the formula, P is the alarm priority; are the weight coefficients of wind speed deviation, influence range, fault duration, and recovery difficulty respectively; is the wind speed deviation; I is the influence range; D is the fault duration; R is the recovery difficulty.

[0057] According to the calculated priority P value, different alarm levels are divided: Low priority (P < 30): Slight wind speed deviation, small influence range, and may recover automatically.

[0058] Medium priority (30 ≤ P < 50): Larger wind speed deviation, affecting multiple devices, and manual intervention is required.

[0059] High priority (P ≥ 50): Severe wind speed over-limit, affecting system operation, and emergency handling is required.

[0060] When receiving the alarm information, the staff enters the intervention mode and performs the following operations: 1. View alarm details: The staff first view the alarm type and specific fault information to understand the current operating status of the equipment. Through the operation panel or remote platform, view the detailed alarm records and equipment parameters, such as wind speed, temperature, humidity, demisting efficiency, etc.

[0061] 2. Conduct fault diagnosis: According to the alarm information, the staff can view each component of the equipment, such as the fan, sensor, air flow control device, etc., to determine the fault point.

[0062] Check the fan: If the wind speed is abnormal, check whether the fan is operating normally and whether there is a fault.

[0063] Check sensors: If it is a sensor failure, check whether temperature and humidity sensors, wind speed sensors, etc. are working properly.

[0064] Check pipes and valves: If the air flow distribution is uneven or the demisting efficiency is low, check whether the air ducts and air valves are blocked or leaking.

[0065] 3. Manual operation of the control system: Adjust the wind speed: As needed, the staff can manually adjust the speed of the fan, increasing or decreasing the wind speed through a frequency converter or other control devices.

[0066] Adjust the air valve: If it is an air flow distribution problem, the staff can adjust the air valve to optimize the air flow distribution.

[0067] Manual blockage: If there is excessive dust accumulation or air flow out of control in the system, the staff can manually adjust the blocking device to reduce some air flow paths and avoid further equipment failures.

[0068] Equipment reset: If it is an equipment failure, the staff can choose to reset the equipment and perform a system self-check to ensure that the equipment resumes normal operation.

[0069] 4. Real-time monitoring and data feedback: After intervention, the staff will continuously monitor the real-time data of the equipment to ensure that the normal operation of the system has been restored through manual operation.

[0070] The system shows whether key parameters such as wind speed, temperature, and humidity have returned to the normal range through real-time data feedback.

[0071] By providing clear alarm information, detailed fault descriptions, and real-time equipment data feedback, the manual intervention module can greatly improve the response efficiency. The staff does not need to conduct a large number of inspections on-site, can quickly locate the problem, and take effective measures. The timely response and control of manual intervention can reduce the equipment downtime due to failures. For example, when the wind speed adjustment cannot be automatically restored, manual adjustment can immediately restore the normal state, avoid a long-term fault state, and ensure production continuity. Through the manual intervention record, the system can analyze the repeatability of faults and possible root causes, and optimize the equipment maintenance plan. By continuously monitoring and analyzing equipment data, the system can identify potential fault risks, perform maintenance or replace components in advance, and avoid sudden failures. The timely response of the manual intervention and alarm response module enables the equipment to be repaired in time when the automatic control fails. This efficient manual intervention mechanism improves the reliability of the equipment, ensuring that the equipment can still quickly recover and continue to operate stably when a failure occurs.

[0072] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0073] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A centralized desulfurization demister control system, characterized in that: include: Data recording and analysis module: real-time recording of the droplet data of the desulfurization demister, and analysis and processing of the data; Automatic adjustment and alarm module: automatically judge and adjust the wind speed based on data analysis results, and send out an alarm signal when automatic adjustment cannot return to normal; Wind speed regulation and plugging control module: adjust the wind speed of the desulfurization demister, optimize the airflow effect, and control the plugging action of the equipment; Manual intervention and alarm response module: provides alarm response and manual intervention interfaces. When the system cannot be restored to normal through automatic adjustment, the staff will intervene.

2. A centralized desulfurization demister control system according to claim 1, characterized in that: The data recording and analysis module further includes real-time monitoring of key parameters of the desulfurization demister through a variety of sensors, in-depth analysis of the data using data analysis algorithms, real-time evaluation of the equipment operating status, and generation of analysis reports. Based on historical data and real-time data, the future status of the equipment is predicted through a prediction algorithm, and possible failures or performance degradations are identified in advance.

3. A centralized desulfurization demister control system according to claim 1, characterized in that: The automatic adjustment and alarm module further includes generating a wind speed-droplet theoretical relationship curve through real-time collected wind speed and droplet data using a machine learning algorithm, and automatically calculating the wind speed range. The system updates the upper and lower limits of the wind speed in real time according to different working conditions. When the wind speed deviates from the set range, the blocking device is automatically adjusted. The control system adjusts the blocking state of the defogger through the actuator. If the blocking device cannot return to normal, the alarm module will be activated, prompting the operator to intervene through graphics and sound.

4. A centralized desulfurization demister control system according to claim 3, characterized in that: The use of a machine learning algorithm to generate a wind speed-droplet theoretical relationship curve and automatically calculate the wind speed range includes using a regression model in machine learning. The relationship between wind speed and droplet concentration is: , where is the model function obtained through machine learning algorithm training, C is the droplet concentration; set an acceptable range of droplet concentration , by calculating the upper and lower limits of the droplet concentration corresponding to the wind speed, the wind speed range is obtained, the formula is as follows: ； ； In the formula, and are the lower and upper limits of wind speed; and are the minimum and maximum values ​​of the droplet concentration; It is an inverse function, indicating that for a given droplet concentration C, the corresponding wind speed V is calculated; Based on the calculated upper and lower limits of wind speed, the system automatically adjusts; when When the wind speed increases, blockage is increased; when When the wind speed is high, remove some of the blockages to reduce the wind speed; when The wind speed remains constant.

5. A centralized desulfurization demister control system according to claim 1, characterized in that: The wind speed regulation and blocking control module further includes real-time monitoring of the equipment operation status, combining a variable frequency drive, an electric valve and a fan speed regulator, using an algorithm to optimize the wind speed according to the real-time parameters of the equipment operation, and controlling the opening and closing of the defogger blocking device through an electric or pneumatic actuator, coordinating the wind speed and blocking control, and optimizing the airflow path.

6. A centralized desulfurization demister control system according to claim 5, characterized in that: An adaptive control algorithm is used to dynamically adjust the wind speed in combination with real-time parameters. The optimization formula for wind speed is as follows: ； In the formula, is the optimized wind speed at the current moment; is the initial set wind speed reference value; T(t) is the current airflow temperature; is the ideal temperature reference value; H(t) is the current humidity; is the ideal humidity reference value; Q(t) is the current air flow; is the reference value of ideal gas flow; is the current demisting efficiency; It is the reference value of ideal demisting efficiency; is the adjustment coefficient, which represents the influence weight of different parameters on wind speed optimization.

7. A centralized desulfurization demister control system according to claim 1, characterized in that: The manual intervention and alarm response module further includes real-time monitoring of wind speed and equipment status, automatically triggering an alarm and transmitting it to staff through graphics, sound effects and text prompts. When the wind speed exceeds the preset upper and lower limits and cannot be restored to normal through automatic adjustment, the alarm system classifies different fault types and sets different priorities for each type of alarm. Staff manually adjust the equipment or blocking device through the human-machine interface and view operation records and alarm information in real time. All manual intervention operations and feedback results will be recorded to provide data support for subsequent analysis and optimization.

8. A centralized desulfurization demister control system according to claim 7, characterized in that: The priority calculation formula is as follows: ； Where P is the alarm priority; They are the weight coefficients of wind speed deviation, impact range, fault duration, and recovery difficulty; is the wind speed deviation; I is the impact range; D is the fault duration; R is the recovery difficulty.

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