A method and device for dynamically adjusting desulfurization oxidation air volume based on magnetic suspension fan

Abstract

The application discloses a kind of dynamic adjustment method and system based on magnetic suspension fan of desulfurization oxidation air volume, the method real-time acquisition desulfurization system operating parameter, target air volume is calculated based on multi-parameter dynamic correlation model, the model is through the pre-judgment of quantification unit load change to flue gas total amount, the proportional relationship of flue gas flow and oxidation demand and the feedback regulation of calcium sulfite content, dynamically adjust each parameter influence weight to generate target air volume;According to target air volume, the rotational speed of magnetic suspension fan is adjusted, using its wide air volume adjustment range and high-precision frequency control characteristics, outlet pressure is stabilized in set interval and realizes the rapid response of air volume;Through double closed loop feedback mechanism optimization adjustment process, model parameters are periodically corrected in combination with remote operation and maintenance platform to improve long-term operation efficiency.The application can realize the rapid response and accurate matching of desulfurization system oxidation air volume, significantly improve desulfurization efficiency and reduce energy consumption.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, belonging to the intersection of intelligent control of industrial processes and energy-saving technology, and particularly to a method and device for dynamic adjustment of desulfurization and oxidation air volume based on a magnetic levitation fan. Background Technology

[0002] In the thermal power generation industry, limestone / gypsum wet flue gas desulfurization is the mainstream process, with an application rate exceeding 90%. In this process system, the oxidation blower plays a crucial role, its core task being to supply sufficient air to the absorber slurry, promoting the oxidation of sulfite to dihydrate gypsum. This process is decisive for ensuring desulfurization efficiency and improving the quality of the by-product gypsum. However, the current operation and control of oxidation blowers face many severe challenges. On the one hand, under traditional control modes, oxidation blowers are mostly adjusted based on manual experience or simple fixed parameters, making it difficult to adapt to dynamic changes in unit load and flue gas composition. For example, in situations with frequent unit load fluctuations and unstable sulfur content in the coal, the oxidation air volume cannot be adjusted in a timely and precise manner, easily leading to insufficient or excessive oxidation. When insufficient oxidation occurs, sulfites cannot be fully oxidized, resulting not only in a significant reduction in desulfurization efficiency but also potentially causing scaling in the absorption tower and pipelines, seriously threatening the stable operation of the system. Excessive oxidation, on the other hand, leads to unnecessary energy waste and significantly increases operating costs. On the other hand, existing technologies generally lack comprehensive consideration and coordinated control of multiple parameters. In reality, the operation of oxidation blowers is affected by the interaction of various factors, including but not limited to flue gas volume, flue gas oxygen content, sulfur dioxide concentration, slurry density, slurry pH value, and sulfite ion concentration. However, most current control systems only focus on individual parameters, failing to fully explore the inherent connections and interaction mechanisms between these parameters, resulting in an inability to comprehensively and accurately regulate the operating status of the oxidation blowers. With increasingly stringent environmental standards and ever-increasing requirements for energy conservation and emission reduction, reducing the energy consumption of desulfurization systems and improving the operating efficiency and stability of oxidation fans have become key challenges that urgently need to be addressed.

[0003] In the current field of desulfurization technology, there are various technical solutions related to the control of desulfurization oxidation air volume, but these existing technologies still have many shortcomings in achieving precise and efficient dynamic adjustment of oxidation air volume.

[0004] Some traditional desulfurization systems employ relatively simple control logic, adjusting the oxidation air volume solely based on a single parameter, such as a fixed setpoint fan speed. For example, some systems operate at a pre-set constant fan speed, maintaining the same air volume output regardless of changes in key parameters such as flue gas sulfur content or slurry composition within the absorber. This "one-size-fits-all" approach completely ignores the dynamic nature of actual operating conditions. In actual operation, the quality of coal varies significantly at different times, leading to frequent fluctuations in the sulfur content of the flue gas. When the sulfur content of the coal increases, a fixed air volume cannot meet the requirements for sufficient oxidation of calcium sulfite, resulting in incomplete oxidation reactions within the absorber and a large amount of residual calcium sulfite. This severely affects the quality of gypsum products, reducing their purity and commercial value. Conversely, when the sulfur content of the coal decreases, excessive oxidation air not only wastes energy but may also negatively impact the chemical reaction balance within the absorber, increasing the system's operating costs.

[0005] Some early desulfurization technologies relied on manual experience to adjust the oxidation air volume. Operators manually adjusted the fan operating parameters based on their personal experience and periodic testing of the calcium sulfite content in the absorber slurry. However, this method is highly susceptible to human error and exhibits significant time lag. On one hand, the long intervals between manual tests make it impossible to capture instantaneous changes in calcium sulfite content in real time. Between two tests, the system may already be in a state of oxidation air volume imbalance, damaging desulfurization efficiency and gypsum quality. On the other hand, differences in experience and judgment standards among different operators make it difficult to guarantee the accuracy and consistency of adjustments. For example, for the same calcium sulfite content data, different operators may make drastically different fan adjustment decisions, resulting in highly unstable system operation.

[0006] Some existing patented technologies, while considering the influence of multiple parameters on the oxidation air volume, have shortcomings in the construction of parameter correlation and adjustment models. Their parameter correlation models are too simplistic and fail to accurately reflect the complex nonlinear relationships between the parameters. For example, they simply set the sulfur content of the flue gas and the oxidation air volume as a fixed linear relationship. In reality, as the sulfur content of the flue gas changes, the chemical reaction rate and mass transfer efficiency within the absorption tower undergo complex changes. This simplistic linear model is simply unable to adapt to the dynamic requirements of actual operating conditions. Faced with complex and changing operating conditions, these technologies cannot quickly and accurately calculate the required oxidation air volume, resulting in low system adjustment precision. They cannot achieve a precise match between the oxidation air volume and the desulfurization reaction requirements, thus failing to guarantee the desulfurization effect and failing to achieve the goal of energy saving and consumption reduction.

[0007] Existing desulfurization systems mostly use Roots blowers or multi-stage centrifugal blowers, whose airflow regulation relies on valve throttling or frequency converters. Their efficiency range is narrow (e.g., Roots blowers have a small efficiency range; magnetic levitation blowers can improve efficiency by about 20% compared to traditional centrifugal blowers), and their response is sluggish, making it difficult to cope with fluctuations in flue gas sulfur content (such as sudden changes in sulfur content due to unit load changes) and dynamic changes in calcium sulfite content in the absorber slurry. This patent aims to solve how to utilize the wide airflow adjustment range of 40%-100% of magnetic levitation blowers to achieve rapid response and precise matching of oxidation airflow. Traditional systems lack linkage monitoring between key parameters within the desulfurization tower (such as calcium sulfite content and slurry pH) and blower operating parameters (airflow and pressure). For example, some Roots blowers lack airflow detection functions and cannot provide real-time feedback on oxidation air content, leading to significant blind adjustments. This patent aims to solve how to establish a multi-parameter correlation model, using real-time data collection of flue gas sulfur content and slurry composition to drive dynamic adjustment of the magnetic levitation blower, thereby improving the stability of the oxidation reaction. Traditional wind turbines use fixed-frequency asynchronous motors, resulting in significant mechanical transmission losses (e.g., the efficiency of a Roots blower motor is 0.87, while the efficiency of a high-speed motor in a magnetic levitation blower exceeds 97%). Furthermore, they require regular maintenance of vulnerable components (bearings, gears, etc.), leading to high maintenance costs. This patent aims to address how to reduce energy consumption (up to 450,000 kWh per unit per year) and decrease maintenance workload through the contactless transmission and remote operation and maintenance capabilities of magnetic levitation wind turbines.

[0008] Therefore, developing a method that can comprehensively consider multiple parameters and achieve precise, intelligent, and efficient control of desulfurization oxidation blowers is of great practical significance. Summary of the Invention

[0009] The main objective of this invention is to provide a method for dynamic adjustment of desulfurization oxidation air volume based on a magnetic levitation fan. By synergistic analysis and precise processing of multiple key parameters such as unit load, flue gas flow rate, and calcium sulfite content, the oxidation fan can achieve high efficiency, energy saving, and stable operation.

[0010] Another objective of this invention is to propose a dynamic adjustment device for desulfurization and oxidation air volume based on a magnetic levitation fan.

[0011] To achieve the above objectives, a first aspect of the present invention proposes a method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan, comprising: S1 collects real-time operating parameters of the desulfurization system, including unit load, flue gas flow rate, and calcium sulfite content in the absorber slurry; S2, the target air volume is calculated based on a multi-parameter dynamic correlation model. The model dynamically adjusts the influence weight of each parameter to generate the target air volume by quantifying the prediction of the total amount of flue gas caused by changes in unit load, the positive relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content. S3 adjusts the speed of the magnetic levitation fan according to the target air volume, and uses its wide air volume adjustment range and high-precision frequency control characteristics to stabilize the outlet pressure within the set range and achieve rapid air volume response. S4 optimizes the adjustment process through a dual closed-loop feedback mechanism, which includes a pre-adjustment loop based on sudden load changes and a secondary fine-tuning loop based on actual air volume deviation. Combined with a remote operation and maintenance platform, the model parameters are periodically corrected to improve long-term operating efficiency.

[0012] In one embodiment of the present invention, the real-time acquisition of desulfurization system operating parameters further includes: S11 employs a high-precision load sensor to acquire unit load signals at a frequency of once per second. The sensor's measurement range covers 0-100% of the rated load with an accuracy of ±0.5%. S12, the calcium sulfite content in the absorber slurry is monitored every 30 seconds using a laser scattering detector with a measurement range of 0-20% and an accuracy of ±0.1%.

[0013] In one embodiment of the present invention, the calculation of the target air volume based on the multi-parameter dynamic correlation model further includes: S21, according to formula Calculate the target air volume, where The baseline air volume is 123.3 m³ / min. S22, when the calcium sulfite content is less than 5%, The absolute value is increased to 1.2 times the baseline value to avoid energy waste caused by excessive oxidation.

[0014] In one embodiment of the present invention, adjusting the rotational speed of the magnetic levitation fan according to the target air volume further includes: S31, based on the air volume-speed characteristic curve of the magnetic levitation fan, the target air volume is... Convert to target speed The characteristic curves are established using factory calibration data; S32: When the unit load fluctuates by ±15% within 10 seconds, the predictive adjustment mode is triggered, and the speed is adjusted 5 seconds in advance according to 80% of the predicted air volume.

[0015] In one embodiment of the present invention, the optimization and adjustment process through the dual closed-loop feedback mechanism further includes: S41, within 10 seconds after the magnetic levitation fan completes the air volume adjustment, if the deviation between the actual air volume and the target air volume is detected to be greater than ±1%, the rotation speed will be corrected by ±3% through a secondary fine-tuning mechanism. S42, the remote operation and maintenance platform adjusts the adjustment coefficient monthly based on load-flow-energy consumption operation data. Optimize and correct.

[0016] In one embodiment of the present invention, it further includes: The S5 transmits sensor data to the DCS controller via industrial Ethernet with a delay of less than 10ms, and generates control commands in real time based on the DCS's built-in calcium sulfite demand-airflow dynamic model.

[0017] To achieve the above objectives, a second aspect of the present invention provides a desulfurization oxidation air volume dynamic adjustment device based on a magnetic levitation fan, comprising: an operating parameter acquisition module for real-time acquisition of desulfurization system operating parameters, including unit load, flue gas flow rate and calcium sulfite content in the absorber slurry; The multi-parameter dynamic correlation model calculation module is used to calculate the target air volume based on the multi-parameter dynamic correlation model. The model dynamically adjusts the influence weight of each parameter to generate the target air volume by quantifying the prediction of the total flue gas volume by the unit load change, the positive relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content. The magnetic levitation fan speed regulation module is used to adjust the speed of the magnetic levitation fan according to the target air volume. By utilizing its wide air volume adjustment range and high-precision frequency control characteristics, the outlet pressure is stabilized within the set range and the air volume is quickly responded to. The dual-loop feedback optimization module is used to optimize the adjustment process through a dual-loop feedback mechanism, which includes a pre-adjustment loop based on sudden load changes and a secondary fine-tuning loop based on actual air volume deviation. Combined with a remote operation and maintenance platform, the model parameters are periodically corrected to improve long-term operating efficiency.

[0018] The desulfurization oxidation air volume dynamic adjustment method and device based on magnetic levitation fan of the present invention realizes the precise matching of oxidation air volume and desulfurization working conditions by constructing a multi-parameter linkage intelligent control system, thereby improving desulfurization efficiency, reducing energy consumption, extending equipment service life, and meeting the dual requirements of environmental protection and energy conservation. Attached Figure Description

[0019] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart of a method for dynamically adjusting desulfurization and oxidation air volume based on a magnetic levitation fan, provided in an embodiment of the present invention; Figure 2 A flowchart of another method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan, provided in an embodiment of the present invention; Figure 3 A schematic diagram of the architecture of a method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan, provided in an embodiment of the present invention; Figure 4This is a structural diagram of a desulfurization and oxidation air volume dynamic adjustment system based on a magnetic levitation fan, provided in an embodiment of the present invention. Figure 5 A logic diagram of the first method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan provided in an embodiment of the present invention; Figure 6 A logic diagram of a second method for dynamically adjusting desulfurization and oxidation air volume based on a magnetic levitation fan, provided in an embodiment of the present invention; Figure 7 A logic diagram of a third method for dynamically adjusting desulfurization and oxidation air volume based on a magnetic levitation fan, provided in an embodiment of the present invention; Figure 8 A logic diagram of the fourth method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan provided in an embodiment of the present invention; Figure 9 A logic diagram of the fifth method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan provided in an embodiment of the present invention; Figure 10 A logic diagram of the sixth method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan provided in this embodiment of the invention; Figure 11 This is a structural diagram of a desulfurization and oxidation air volume dynamic adjustment device based on a magnetic levitation fan, provided in an embodiment of the present invention. Detailed Implementation

[0020] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0022] The following description, with reference to the accompanying drawings, describes a method and apparatus for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan, according to an embodiment of the present invention.

[0023] Example 1 This embodiment provides a method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan. For example... Figure 1 As shown, the method includes the following steps: S1 collects real-time operating parameters of the desulfurization system, including unit load, flue gas flow rate, and calcium sulfite content in the absorber slurry.

[0024] Specifically, in this invention, real-time acquisition of desulfurization system operating parameters is a fundamental step in achieving dynamic adjustment of oxidation air volume. The underlying technology is based on the collaborative operation of a high-precision sensor network and a data acquisition system. Specifically, this step utilizes sensors deployed at key nodes to perform high-frequency, continuous, and real-time monitoring of unit load, flue gas flow rate, and calcium sulfite content in the absorber slurry, providing accurate input data for the subsequent dynamic air volume calculation model.

[0025] The unit load is collected by a high-precision load sensor, with an accuracy of up to [missing information]. The sampling frequency is once per second. This sensor is typically integrated into a DCS system to reflect the unit's operating status in real time. Flue gas flow is measured by a flow meter installed at the inlet flue of the absorption tower, with a range of [missing information]. The accuracy is The sampling frequency is once per second. This parameter is the basis for calculating the amount of calcium sulfite generated, and it is directly proportional to the oxidation air volume. The calcium sulfite content is measured by a laser scattering detector at the outlet pipe of the slurry circulation pump, with a range of 0-20% and an accuracy of [missing information]. The sampling frequency is once every 30 seconds, used to provide feedback on the completion status of the oxidation reaction.

[0026] The system uses the formula "generation amount" flue gas flow rate concentration The conversion rate is used to initially estimate the amount of calcium sulfite generated. Combined with real-time feedback from the calcium sulfite detector, this forms the basis for closed-loop control. This is especially important in the event of sudden load changes (such as fluctuations within 10 seconds). When the reaction is underway, the system can trigger a pre-adjustment mechanism to adjust the fan speed 5 seconds in advance to ensure that the oxidation air volume is synchronized with the reaction requirements.

[0027] This process is widely applicable to wet desulfurization systems in thermal power plants, especially under conditions where the sulfur content of coal fluctuates significantly and the unit load changes frequently, demonstrating significant advantages in adaptability and stability. Through real-time data acquisition and feedback, the system can effectively avoid problems of insufficient or excessive oxidation, thereby improving desulfurization efficiency, reducing energy consumption, and extending equipment life.

[0028] Furthermore, S1 includes: S11 employs a high-precision load sensor to acquire unit load signals at a frequency of once per second. The sensor's measurement range covers 0-100% of the rated load and has an accuracy of ±0.5%.

[0029] Specifically, in this invention, employing a high-precision load sensor to acquire unit load signals at a frequency of once per second is a crucial preliminary step for achieving dynamic adjustment of desulfurization oxidation airflow. The sensor's measurement range covers 0-100% of rated load, with an accuracy of [insert accuracy here]. It meets the high-precision acquisition requirements for key operating parameters in industrial control. Its technology is based on strain gauge or piezoelectric sensing principles, which convert the unit's output power or fuel consumption into measurable mechanical deformation or charge change, and then convert the analog signal into a digital signal through an analog-to-digital converter (ADC) module for real-time processing by the DCS system.

[0030] In terms of specific operation, the sensor is installed in the main control loop or auxiliary system of the unit, and connects to the DCS controller via industrial Ethernet or a 4-20mA analog signal interface to ensure real-time and reliable data transmission. The sampling frequency is set to 1Hz, i.e., once per second. This frequency ensures data continuity while avoiding the additional burden on the system's processing capacity due to sampling overload. The load signal output by the sensor serves as one of the key inputs in the dynamic air volume calculation model, used to derive the load adjustment coefficient. The calculation rule is as follows: when the load exceeds 80%, for every 10% exceeding 80%, Increase by 5%; when the load is less than 50%, decrease by 10% for each additional 5%. reduce This coefficient directly affects the target air volume. The calculation is shown in the formula:

[0031] In practical applications, this step is widely used in desulfurization systems of thermal power plants, especially under conditions of frequent unit load fluctuations and significant variations in the sulfur content of coal. It provides the system with timely and accurate information on load change trends, triggering the high-frequency sampling mechanism of the flue gas flow meter and calcium sulfite detector, thus improving the overall regulation response speed. Through the high-precision and high-frequency acquisition of this sensor, the system can achieve accurate prediction and dynamic adjustment of the oxidation air volume, significantly improving desulfurization efficiency and reducing energy consumption, providing a reliable basis for the execution of subsequent control logic.

[0032] S12, the calcium sulfite content in the absorber slurry is monitored every 30 seconds using a laser scattering detector with a measurement range of 0-20% and an accuracy of ±0.1%.

[0033] Specifically, this step is based on the principle of optical scattering. By measuring the intensity of scattered light from suspended particles in the slurry, the volume concentration of calcium sulfite is derived, thus providing accurate feedback for real-time adjustment of the oxidation air volume.

[0034] In some implementations, the laser scattering detector is installed on the outlet pipe of the slurry circulation pump in the absorption tower to ensure it can represent the overall composition of the slurry within the tower. The detector's measurement range is 0–20%, with an accuracy of ±0.1%, meeting the high-precision requirements for monitoring key chemical components in industrial process control. Its working principle involves irradiating the slurry sample with a laser beam, receiving the scattered light signal through a detector, and calculating the calcium sulfite content by combining it with a pre-set calibration curve of scattering intensity versus particle concentration. This method offers advantages such as non-contact operation, fast response, and strong anti-interference capabilities, making it particularly suitable for slurry environments with high concentrations and high suspended solids.

[0035] Furthermore, the sampling frequency of the detector is set to once every 30 seconds to ensure that the system can capture dynamic changes in calcium sulfite content in a timely manner. Under conditions of sudden load changes or large fluctuations in flue gas sulfur content, the system can automatically trigger a high-frequency sampling mode, shortening the detection cycle to 10 seconds to improve the real-time performance of adjustments. The detection data is transmitted to the DCS control system via industrial Ethernet or 4G network as a key input parameter in the dynamic airflow calculation model.

[0036] This step plays a crucial role in feedback regulation within the entire technical solution. The calcium sulfite content directly reflects the completion level of the oxidation reaction within the absorption tower and is a core indicator for determining whether the oxidation airflow is sufficient or excessive. When its content exceeds 8%, it indicates insufficient oxidation, requiring an increase in airflow; when it is below 5%, it indicates excessive oxidation, necessitating a reduction in airflow to avoid energy waste. Through precise monitoring of this step, the system can achieve closed-loop control of the magnetic levitation fan speed, ensuring that the oxidation airflow remains consistent with the desulfurization reaction requirements, thereby improving desulfurization efficiency, reducing energy consumption, and guaranteeing the stable quality of gypsum products. S2. The target air volume is calculated based on a multi-parameter dynamic correlation model. The model dynamically adjusts the influence weight of each parameter to generate the target air volume by quantifying the prediction of the total flue gas volume caused by changes in unit load, the positive relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content.

[0037] Specifically, this step involves calculating the target air volume based on a multi-parameter dynamic correlation model. Its core lies in dynamically optimizing the control of the oxidation air volume by quantifying the prediction of the total flue gas volume caused by changes in unit load, the proportional relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content. In some implementations, this model adopts a structure of "baseline air volume + multi-parameter adjustment coefficients." By collecting key parameters such as unit load, flue gas flow, and calcium sulfite content in real time, and combining them with preset adjustment rules, the influence weight of each parameter is dynamically adjusted to generate an accurate target air volume. .

[0038] Specifically, the formula for calculating the target air volume is:

[0039] in, The reference air volume is usually set to [value]. The corresponding unit load is 80% and the flue gas flow rate is Typical operating condition with a calcium sulfite content of 6%. Adjustment coefficient. , and These parameters respectively reflect the impact of unit load, flue gas flow rate, and calcium sulfite content on air volume. The calculation rules are based on the deviation of actual operating conditions from the benchmark value and are adjusted linearly or nonlinearly.

[0040] In terms of implementation, the system uses high-precision sensors to collect real-time data on the unit load (accuracy). ), flue gas flow rate (accuracy) ) and calcium sulfite content (precision) (and, combined with the preset adjustment coefficient calculation logic, to achieve dynamic correction of the target air volume).

[0041] This step has significant application value in practical desulfurization systems. For example, under conditions of rapid changes in unit load or large fluctuations in the sulfur content of coal, the system can quickly adjust the speed of the magnetic levitation fan through load prediction and calcium sulfite feedback mechanism to ensure the stability of the oxidation reaction.

[0042] Furthermore, the model incorporates a parameter confidence weighting mechanism. When a parameter fluctuates by more than 20%, its adjustment coefficient weight decreases, while the weights of other parameters increase accordingly, to prevent airflow regulation instability caused by abnormal data. Additionally, the system adjusts the airflow regulation hourly based on the deviation in calcium sulfite content. Fine-tune the adjustment coefficient if Then the coefficient is amplified. times; if The coefficient is then reduced to This allows for long-term optimization and adaptive adjustment.

[0043] In summary, this step, by constructing a multi-parameter dynamic correlation model, enables precise, rapid, and adaptive adjustment of the oxidation air volume, which is a key step in achieving efficient and energy-saving operation of the desulfurization system in this invention.

[0044] Furthermore, S2 includes: S21, according to formula Calculate the target air volume, where The baseline air volume is 123.3 m³ / min.

[0045] Specifically, this step is based on the formula ,in The baseline air volume is set to a value of [value to be filled in]. This corresponds to a unit load of 80% and a flue gas flow rate of The typical operating condition is a calcium sulfite content of 6%. This formula introduces three adjustment coefficients. , , This enables multi-parameter linkage adjustment of oxidation air volume, thereby improving desulfurization efficiency and reducing energy consumption.

[0046] This step first involves acquiring key parameters such as unit load, flue gas flow rate, and calcium sulfite content through a real-time data acquisition system. In specific application scenarios, this formula is embedded into the DCS control system as the core calculation module of the dynamic airflow adjustment model. When there are sudden changes in unit load, flue gas flow rate, or calcium sulfite content, the system quickly calculates the new target airflow using this formula. This is then converted into a speed command for the magnetic levitation fan, enabling real-time adjustment of the air volume.

[0047] The technical benefits of this step are reflected in a significant improvement in adjustment accuracy and system response speed. Through multi-parameter linkage adjustment, the deviation between the target airflow and the actual demand is controlled within... Within, compared to traditional methods Significant improvements have been made. Furthermore, the model possesses a dynamic correction mechanism, allowing for fine-tuning of the adjustment coefficient based on hourly deviations in calcium sulfite content, further enhancing system stability and adaptability. In actual operation...

[0048] S22, when the calcium sulfite content is less than 5%, The absolute value is increased to 1.2 times the baseline value to avoid energy waste caused by excessive oxidation.

[0049] Specifically, this adjustment mechanism relies on a laser scattering detector installed on the outlet pipe of the slurry circulation pump, with a measurement range of 0-20% and an accuracy of [missing information]. The sampling frequency is every Once per second. When the detected calcium sulfite content is below 5%, the system determines that the current oxidation airflow is too high, posing a risk of over-oxidation. At this point, the calcium sulfite adjustment coefficient in the model is adjusted. It will be recalculated, and the calculation rule is: when the content is less than 5%, = (actual content - 5%), and then multiply the absolute value by this. ,Right now This adjustment improves the model's ability to calculate target airflow. At that time, it can be done through the formula Dynamic corrections are made to reduce airflow output, minimize unnecessary air input, and avoid energy waste caused by excessively rapid oxidation reactions.

[0050] In specific application scenarios, this mechanism is suitable for situations where the sulfur content of coal is low or the flue gas is reduced due to a decrease in unit load. The input is reduced. This operation is completed through the coordinated operation of the DCS control system and the high-speed permanent magnet synchronous motor of the magnetic levitation fan, with motor frequency adjustment accuracy reaching [percentage missing]. This ensures smoothness and responsiveness in speed changes.

[0051] The technological value of this step lies in achieving precise control of the oxidation air volume through dynamic adjustment coefficients, effectively avoiding the energy waste caused by fixed air volume or experience-based adjustments in traditional control methods. In actual operation, this mechanism can maintain the calcium sulfite content within the ideal range of 5%-8%, thereby increasing the gypsum purity to over 95% and significantly improving the economic and environmental performance of the desulfurization system.

[0052] S3 adjusts the rotation speed of the magnetic levitation fan according to the target air volume, and utilizes its wide air volume adjustment range and high-precision frequency control characteristics to stabilize the outlet pressure within the set range and achieve rapid air volume response.

[0053] Specifically, this step involves dynamically adjusting the rotational speed of the magnetic levitation fan based on the target airflow to achieve stable outlet pressure and rapid airflow response. In some implementations, this adjustment process relies on the contactless transmission structure and high-precision frequency conversion control technology of the magnetic levitation fan. By calculating and outputting the target rotational speed signal in real time, it drives a high-speed permanent magnet synchronous motor to adjust the frequency, thereby precisely controlling the fan's operating status.

[0054] The system first calculates the target air volume under the current operating conditions based on the dynamic air volume calculation model. Then, based on the "airflow-speed characteristic curve" of the magnetic levitation fan, the airflow is converted into the corresponding target speed. For example, at the baseline airflow... At that time, the fan speed was 35,000 rpm. When the value increases by 25%, the system uses a frequency converter to change the motor frequency from the reference value. Increase to ,in The adjustment precision can reach This ensures high precision and stability in speed regulation.

[0055] The speed adjustment range of a magnetic levitation fan is typically 40% - 100% of its rated speed, and its frequency control accuracy is [insert accuracy here]. Response time is less than The export pressure control target is Through the magnetic levitation bearing controller The sampling frequency is used to monitor the rotor position in real time, and an electromagnetic force compensation mechanism is used (accuracy) Dynamically adjust the operating status of the fan to ensure that pressure fluctuations are controlled within the set range.

[0056] This step is widely used in wet desulfurization systems of thermal power plants, especially under conditions of frequent unit load fluctuations and large variations in the sulfur content of coal. By rapidly adjusting the fan speed, the system can quickly adapt to changes in flue gas flow and maintain the calcium sulfite content in the absorber tower within the ideal range of 5%-8%, thereby ensuring desulfurization efficiency and gypsum quality.

[0057] This step achieves high precision and rapid response in airflow regulation, enabling the desulfurization system to maintain stable operation even under complex conditions. Compared to traditional fans, the regulation precision of magnetic levitation fans is improved to... Response time shortened to Within this range, the system's dynamic adaptability and operational efficiency have been significantly improved.

[0058] Furthermore, S3 includes: S31, based on the air volume-speed characteristic curve of the magnetic levitation fan, the target air volume is... Convert to target speed The characteristic curves are established using factory calibration data.

[0059] Specifically, this step utilizes the non-linear relationship curve between air volume and rotational speed calibrated at the factory of the magnetic levitation fan to calculate the target air volume output by the dynamic air volume calculation model. Convert to the corresponding fan speed This enables precise control over the operating status of the wind turbine.

[0060] This characteristic curve was obtained through multi-point calibration tests conducted before the fan leaves the factory, covering the range of air volume that the fan can stably output at different speeds. For example, under the baseline operating condition, when the air volume is... At that time, the corresponding rotational speed is In actual operation, the system outputs based on the dynamic air volume calculation model. The value is found on the characteristic curve by looking up a table or using an interpolation algorithm (such as linear interpolation, cubic spline interpolation, etc.). The value is then sent to the high-speed permanent magnet synchronous motor controller of the magnetic levitation fan to achieve precise adjustment of the motor frequency, thereby controlling the fan speed.

[0061] The speed regulation precision of magnetic levitation fans can reach The corresponding rotational speed accuracy is approximately The calibration range of the characteristic curve typically covers 40% - 100% of the rated airflow to ensure stable operation of the fan under complex operating conditions such as unit load changes and flue gas flow fluctuations. Furthermore, during speed regulation, the system must also ensure that the fan outlet pressure is maintained at [value missing]. Within the set range, to ensure the stability of the oxidation reaction inside the desulfurization tower.

[0062] This step is widely used in wet desulfurization systems of thermal power plants, especially under conditions of frequent unit load fluctuations and significant variations in the sulfur content of coal, where it offers significant regulatory advantages. By precisely mapping the target air volume to the fan speed, this step effectively solves the problems of lag and low precision in traditional fan regulation. Combined with a dual closed-loop feedback mechanism, the system can achieve a high degree of matching between air volume and oxidation demand under complex operating conditions, thereby improving desulfurization efficiency, reducing energy consumption, and extending equipment lifespan, demonstrating significant engineering practical value and energy-saving benefits.

[0063] S32: When the unit load fluctuates by ±15% within 10 seconds, the predictive adjustment mode is triggered, and the speed is adjusted 5 seconds in advance according to 80% of the predicted air volume.

[0064] Specifically, this step, based on the synergy of real-time monitoring and dynamic models, aims to effectively shorten the adjustment delay caused by parameter lag in traditional control methods by adjusting the speed of the magnetic levitation fan by 80% of the predicted air volume 5 seconds in advance, thereby improving the operational stability and efficiency of the desulfurization system.

[0065] This step relies on high-precision unit load sensors, whose measurement range covers 0–100% of rated load with an accuracy of ±0.5%. The sensors collect load data once per second and perform trend prediction using a pre-defined "load-flue gas flow correlation model." For example, for a 1000MW unit, when the load suddenly increases from 50% to 70%, the system predicts that the flue gas flow will increase from 24,000 m³ / h to 32,000 m³ / h, thus deriving the initial demand for oxidation airflow. At this point, the system enters a predictive adjustment mode, calculating the target speed based on 80% of the predicted airflow, and rapidly adjusting the fan speed through frequency regulation of the high-speed permanent magnet synchronous motor (accuracy ±0.1Hz). For example, if the predicted airflow is 123.3 m³ / min, the system will pre-adjust the speed to 98.64 m³ / min (i.e., 123.3 × 80%).

[0066] The key triggering condition for this step is a load fluctuation amplitude ≥ ±15% and a duration ≤ 10 seconds. The adjustment amplitude is 80% of the predicted air volume, and the adjustment response time is controlled within 5 seconds to ensure that the oxidation air volume can quickly adapt to changes after sudden load changes. At the same time, the speed adjustment accuracy of the magnetic levitation fan is ±0.1Hz, corresponding to an air volume adjustment accuracy of ±1%, meeting the high requirements of the desulfurization system for air volume stability.

[0067] This step is particularly suitable for operating conditions with frequent load fluctuations, such as frequent grid dispatching and unstable sulfur content in coal. By adjusting in advance, the system can achieve preliminary matching of air volume before load changes fully affect the desulfurization reaction, thereby avoiding drastic fluctuations in calcium sulfite content and ensuring desulfurization efficiency and gypsum quality.

[0068] The technical benefits of this step are significant, primarily reflected in the improved response speed and enhanced adjustment precision. Compared to the response time of traditional fans exceeding 30 seconds, this invention reduces the response time to less than 5 seconds through a predictive adjustment mechanism, giving the system stronger dynamic adaptability. Furthermore, this mechanism, together with subsequent secondary fine-tuning, forms a closed-loop control, further improving the stability and reliability of the adjustment, providing strong support for achieving efficient and energy-saving operation of the desulfurization system.

[0069] S4 optimizes the adjustment process through a dual closed-loop feedback mechanism, which includes a pre-adjustment loop based on sudden load changes and a secondary fine-tuning loop based on actual air volume deviation. Combined with a remote operation and maintenance platform, the model parameters are periodically corrected to improve long-term operating efficiency.

[0070] Specifically, this step optimizes the regulation process of the magnetic levitation fan through a dual closed-loop feedback mechanism, including a pre-regulation loop based on sudden load changes and a secondary fine-tuning loop based on actual airflow deviations. This is combined with a remote operation and maintenance platform to periodically correct model parameters, thereby improving the long-term operating efficiency of the system. This mechanism has significant control advantages and engineering value in desulfurization systems.

[0071] The dual closed-loop feedback mechanism consists of two independent but collaborative control loops. The pre-adjustment loop responds in advance based on real-time changes in unit load. When the load sensor detects a load fluctuation exceeding ±15% within 10 seconds, the system enters pre-adjustment mode. Based on the "load-airflow" correlation model, it initially adjusts the magnetic levitation fan speed to 80% of the predicted airflow 5 seconds in advance. The secondary fine-tuning loop, within 10 seconds of the fan's initial adjustment, evaluates the deviation between the actual and target airflow using a flue gas flow meter and a calcium sulfite detector. If the deviation exceeds ±1%, a secondary adjustment is triggered to further adjust the fan speed, ultimately controlling the airflow deviation within ±0.5%. This mechanism effectively solves the problems of response lag and insufficient adjustment accuracy in traditional control systems.

[0072] The trigger threshold for the pre-adjustment loop is set at ±15% load fluctuation, with an adjustment range of 80% of the predicted airflow. The trigger condition for the secondary fine-tuning loop is an airflow deviation exceeding ±1%, with an adjustment accuracy requirement of ±0.5%. The remote operation and maintenance platform optimizes and corrects the adjustment coefficients (such as K_flow, K_load, and K_CaSO3) on a monthly cycle, adjusting their value range based on historical operating data. For example, K_flow is reduced from 8% to 7% to improve the model's adaptability and energy-saving effect.

[0073] This mechanism is widely applicable to the dynamic adjustment of magnetic levitation fans in desulfurization systems of thermal power plants. Especially under conditions of frequent unit load fluctuations and large variations in the sulfur content of coal, the dual closed-loop feedback mechanism can quickly respond and accurately adjust the air volume, ensuring that the calcium sulfite content in the absorption tower remains stable within the ideal range of 5%-8%, thereby improving desulfurization efficiency and reducing energy consumption.

[0074] The technical benefits of this step are reflected in a significant improvement in the system's adjustment accuracy and response speed. Simultaneously, through periodic parameter correction via a remote operation and maintenance platform, long-term operational efficiency is continuously optimized. Combined with the high-precision speed control capability (±0.1Hz) of the magnetic levitation fan, this mechanism can shorten the airflow adjustment response time to less than 3 seconds, an improvement of over 90% compared to traditional systems, providing a solid guarantee for the intelligent and efficient operation of the desulfurization system.

[0075] Furthermore, S4 includes: S41, within 10 seconds after the magnetic levitation fan completes the air volume adjustment, if the deviation between the actual air volume and the target air volume is detected to be greater than ±1%, the rotation speed will be corrected by ±3% through a secondary fine-tuning mechanism.

[0076] Specifically, within 10 seconds after the magnetic levitation fan completes airflow adjustment, if the deviation between the actual airflow and the target airflow is detected to be greater than ±1%, the system will correct the fan speed by ±3% through a secondary fine-tuning mechanism. This step is a key component of the dual closed-loop feedback optimization mechanism of this invention, aiming to further improve the accuracy of airflow adjustment and the stability of system response.

[0077] This mechanism relies on high-precision airflow detection equipment and a fast-response magnetic levitation fan control system. After the initial airflow adjustment, the system collects real-time actual airflow data using a flue gas flow meter and an oxidation flow meter, comparing it with the target airflow calculated by a dynamic airflow model. If the deviation exceeds a set threshold (±1%), a secondary fine-tuning logic is triggered. The DCS controller sends a speed correction command to the high-speed permanent magnet synchronous motor of the magnetic levitation fan, adjusting the motor's current frequency (with an accuracy of ±0.1Hz) to achieve a ±3% fine-tuning of the speed. This process, based on the contactless transmission characteristics of the magnetic levitation fan, achieves millisecond-level response, ensuring the timeliness and continuity of the adjustment action.

[0078] The system's set deviation threshold is ±1%, meaning that when the relative error between the actual airflow and the target airflow exceeds this range, secondary adjustment is triggered. The speed correction range is ±3%, a value verified through actual testing to effectively reduce airflow deviation without causing system oscillation. The adjustment response time is controlled within 10 seconds, meeting the real-time requirements of industrial control systems for dynamic adjustment. Furthermore, the system supports recording and analyzing adjustment actions, facilitating subsequent optimization of model parameters.

[0079] This step is widely used in desulfurization systems of thermal power plants, especially under conditions such as sudden changes in unit load, fluctuations in the sulfur content of coal, or abnormal conditions of the absorber slurry. For example, when the unit load increases rapidly in a short period of time, causing a sudden increase in flue gas flow, and the initial adjustment fails to fully match the oxidation demand, the secondary fine-tuning mechanism can quickly compensate for the air volume deviation, ensuring that the calcium sulfite content remains stable within the ideal range of 5%–8%, thereby maintaining desulfurization efficiency and gypsum quality.

[0080] This step significantly improves the closed-loop accuracy of airflow regulation, keeping the final airflow deviation within ±0.5%, a marked improvement over the ±5%–10% accuracy of traditional regulation methods. Simultaneously, by reducing unnecessary over- or under-adjustment of airflow, it lowers energy consumption and equipment wear, extends the mean time between failures (MTBF) of the magnetic levitation fan, and enhances the overall operational stability and intelligence level of the desulfurization system.

[0081] S42, the remote operation and maintenance platform adjusts the adjustment coefficient monthly based on load-flow-energy consumption operation data. Make optimizations and corrections, for example, to The percentage has been lowered from 8% to 7%.

[0082] Specifically, the remote operation and maintenance platform adjusts the adjustment coefficient monthly based on the "load-flow-energy consumption" operating data. Optimization and correction are crucial steps in continuously optimizing the dynamic adjustment model and improving system operating efficiency in this invention. This step involves statistical analysis of long-term operating data to identify the adaptability deviations of the adjustment coefficients under different operating conditions, thereby enabling fine-tuning of the model parameters and ensuring that the oxidation air volume always maintains a high-precision match with the desulfurization reaction requirements.

[0083] This optimization process relies on the data acquisition and analysis capabilities of the remote operation and maintenance platform. The platform extracts historical data on key operating parameters, including unit load, flue gas flow, oxidation air volume, calcium sulfite content, and energy consumption, from the desulfurization system periodically (e.g., monthly) via industrial Ethernet or 4G networks. After preprocessing, this data is input into the platform's built-in optimization algorithm module. This module, based on a dynamic air volume calculation model of the desulfurization reaction, adjusts the adjustment coefficient... The historical performance is evaluated. For example, if the flue gas flow rate varies significantly over a certain period of time, but... If the value of this coefficient leads to excessive or insufficient adjustment of the oxidation air volume, the platform will automatically adjust the value of this coefficient to better match the actual reaction requirements.

[0084] Adjustment coefficient The baseline value is 8%, and its adjustment is based on the flue gas flow rate and the baseline value. The degree of deviation. During the optimization and correction process, the platform will recalculate based on the correlation between flue gas flow and calcium sulfite content in historical data. The optimal value.

[0085] In practical applications, this step is typically deployed within the power plant's DCS system or a standalone remote operation and maintenance platform, and is applicable to desulfurization systems of 1000MW coal-fired units. By periodically optimizing the adjustment coefficients, the system can adapt to long-term trends such as the sulfur content of coal and load fluctuations, improving the robustness and adaptability of the model.

[0086] Also includes: The S5 transmits sensor data to the DCS controller via industrial Ethernet with a delay of less than 10ms, and generates control commands in real time based on the DCS's built-in calcium sulfite demand-airflow dynamic model.

[0087] Specifically, this step transmits sensor data to the DCS controller via industrial Ethernet with a delay of less than 10ms, and generates control commands in real time based on the DCS's built-in "calcium sulfite demand-airflow dynamic model." This is a crucial step in achieving efficient and precise control of the desulfurization system. In some implementations, this step uses industrial Ethernet as the data transmission channel, with communication protocols conforming to IEC 61158 or IEC 62443 standards to ensure stable data transmission even in high-noise, high-electromagnetic-interference industrial environments. Sensor data includes unit load, flue gas flow rate, and calcium sulfite content, with acquisition frequencies of 1 second, 1 second, and 30 seconds, respectively. The data format uses the standard OPC UA protocol for encapsulation to ensure compatibility and real-time performance with the DCS system.

[0088] The transmission latency of industrial Ethernet needs to be controlled within This is to meet the DCS controller's requirements for processing real-time data. Upon receiving the data, the DCS controller immediately invokes the built-in "Calcium Sulfite Demand-Airflow Dynamic Model," which is based on the formula... Perform calculations, where As the baseline air volume, , , These are the adjustment coefficients for load, flow rate, and calcium sulfite content, respectively. Using this model, the system can calculate the target air volume within 100ms and send control commands to the high-speed permanent magnet synchronous motor of the magnetic levitation fan, achieving precise speed adjustment.

[0089] The desulfurization oxidation air volume dynamic adjustment method of this invention realizes precise dynamic adjustment of the desulfurization oxidation air volume, improves desulfurization efficiency and system stability, and reduces energy consumption and maintenance costs.

[0090] Example 2 The parameters acquired by the real-time parameter acquisition system of this invention are as follows: Unit load parameters: High-precision load sensors (measuring range covering 0-100% of rated load, accuracy up to ±0.5%) are used to collect unit load signals in real time at a frequency of once per second. Based on a pre-established "load-flue gas flow correlation model" (for example, for a 1000MW unit, the flue gas flow rate is approximately 20,000 m³ / h when the load is 50%, and increases to 32,000 m³ / h when the load increases to 80%), the trend of flue gas flow rate changes can be predicted in advance, providing important preliminary information for subsequent airflow adjustment. Flue gas flow rate parameter: A flow meter (measuring range 0 - 50000 m³ / h, accuracy ±1%) is installed at the inlet flue of the absorption tower to monitor the instantaneous flow rate of the flue gas in real time and accurately. This parameter serves as the basic data for calculating the amount of calcium sulfite generated. The formula "Generation = Flue gas flow rate × SO2 concentration × 0.85 (conversion rate)" can intuitively reflect the actual air volume requirement of the oxidation reaction. Calcium sulfite parameters: A laser scattering detector (measurement range 0-20%, accuracy ±0.1%) is installed on the outlet pipe of the slurry circulation pump to monitor the calcium sulfite content in the slurry every 30 seconds. The calcium sulfite content directly reflects the degree of oxidation reaction and is a key indicator for assessing the suitability of the oxidation airflow. In one embodiment of the present invention, when the unit load rapidly increases from 60% to 80% within 2 minutes, the load sensor quickly detects this change and predicts that the flue gas flow rate will increase from 24,000 m³ / h to 32,000 m³ / h. Based on this prediction, the system automatically triggers the high-frequency sampling mode of the flue gas flow meter (increasing the frequency to once per second) and simultaneously densifies the monitoring frequency of the calcium sulfite detector (shortening it to once every 10 seconds) to obtain the dynamic changes of key parameters more timely and accurately.

[0091] Furthermore, based on real-time collected core parameters such as unit load, flue gas flow rate, and calcium sulfite content, this model achieves accurate calculation of the target air volume by quantifying the influence weight of each parameter on the oxidation air volume. The model construction follows the principle of "operating condition adaptation - parameter correlation - dynamic correction," as detailed below: Model derivation is based on the following: The core requirement for oxidation air volume is to match the oxidation reaction rate of calcium sulfite in the desulfurization tower. The reaction rate is strongly correlated with the unit load (which determines the total amount of flue gas), flue gas flow rate (which directly carries SO2), and calcium sulfite content (a terminal indicator of the reaction): Linear correlation between unit load and flue gas flow rate: For every 10% increase in unit load, the amount of coal consumed increases by about 8%-12%, leading to a synchronous increase in flue gas flow rate, an increase in SO2 input, and an increase in calcium sulfite generation, requiring a corresponding increase in oxidation air volume; Direct proportionality between flue gas flow rate and oxidation demand: The larger the flue gas flow rate, the more SO2 enters the desulfurization tower per unit time, the greater the amount of calcium sulfite generated, and the required oxidation air volume needs to be increased accordingly; Feedback adjustment of calcium sulfite content: When the calcium sulfite content exceeds 8%, it indicates insufficient oxidation, and the air volume needs to be increased; when it is below 5%, oxidation is excessive, and the air volume needs to be reduced to avoid energy waste.

[0092] The dynamic calculation model expression for the target air volume is as follows: The baseline air volume is the fundamental value for the entire calculation, using the air volume under specific operating conditions as a reference standard; the load adjustment coefficient, flow rate adjustment coefficient, and calcium sulfite adjustment coefficient represent the degree of influence of unit load, flue gas flow rate, and calcium sulfite content on the target air volume, respectively. Each coefficient is quantitatively adjusted with reference to the baseline operating conditions. The specific determination rules for each coefficient are as follows: Target air volume = Baseline air volume × (1 + Load adjustment coefficient + Flow rate adjustment coefficient + Calcium sulfite adjustment coefficient). This formula comprehensively considers three core influencing factors: unit load, flue gas flow rate, and calcium sulfite content. Each adjustment coefficient quantifies the impact of different operating conditions on the air volume, ensuring that the calculated target air volume accurately matches the actual operating requirements of the desulfurization system. The dynamic calculation model expression for the target air volume is as follows:

[0093] The parameters of the target air volume dynamic calculation model are shown in Table 1: Table 1

[0094] The adjustment coefficient quantization logic table is shown in Table 2: Table 2

[0095] Q_0 represents the baseline air volume, which is 123.3 m³ / min under rated operating conditions (corresponding to a calcium sulfite content of 6%, unit load of 80%, and flue gas flow rate of 30,000 m³ / h). K_load is the load adjustment coefficient: when the unit load is greater than 80%, K_load increases by 5% for every 10% exceeding the baseline (for example, when the load reaches 90%, K_load = 5%); when the unit load is less than 50%, K_load decreases by 3% for every 10% decreasing. K_flow is the flow rate adjustment coefficient: for every 10% deviation of the flue gas flow rate from the baseline value, K_flow increases or decreases by 8% (for example, if the actual flue gas flow rate is 33,000 m³ / h, exceeding the baseline value of 30,000 m³ / h by 10%, then K_flow = 8%). K_CaSO3 is the calcium sulfite adjustment coefficient: when the calcium sulfite content is greater than 8%, K_CaSO3 increases by 6% for every 1% increase (e.g., when the calcium sulfite content is 9%, K_CaSO3=6%); when the calcium sulfite content is less than 5%, K_CaSO3 decreases by 4% for every 1% decrease.

[0096] To avoid airflow fluctuations caused by sudden changes in a single parameter, the model introduces parameter confidence weights: when a parameter (such as flue gas flow rate) fluctuates by more than 20%, the weight of its corresponding coefficient is reduced to 0.8, while the weights of other parameters are increased to 1.2 to ensure stable adjustment; every hour, the coefficients are fine-tuned based on the deviation (ΔC) between the actual calcium sulfite content and the target value: if ΔC > 1%, the coefficients are magnified by 1.1 times in the next calculation; if ΔC < -1%, the coefficients are reduced to 0.9 times. This embodiment breaks through the limitations of traditional single-parameter adjustment, and integrates load, flow rate and reaction terminal indicators to ensure that the deviation between air volume and actual demand is ≤±1%. Through real-time correction coefficients and weights, it adapts to complex operating conditions such as sudden changes in unit load and fluctuations in coal quality. Under the premise of ensuring sufficient oxidation, it reduces ineffective air volume and lowers energy consumption by using negative adjustment coefficients (such as under low load and low calcium sulfite content). The model has been verified by actual testing on a 1000MW unit: within the load fluctuation range of 50%-100%, the response time for adjusting the oxidation air volume is ≤3 seconds, the calcium sulfite content is stable at 5%-8%, and the power saving is 32% compared with the traditional method.

[0097] Furthermore, precise speed conversion: Based on the "airflow-speed characteristic curve" calibrated at the factory of the magnetic levitation fan (for example, an airflow of 123.3 m³ / min corresponds to a speed of 35,000 rpm), the target airflow Qt obtained through the dynamic airflow calculation model is precisely converted into the target speed Nt. In actual operation, stable control of the magnetic levitation fan speed is achieved by precisely adjusting the current frequency of the high-speed permanent magnet synchronous motor (adjustment accuracy can reach ±0.1 Hz). Load prediction adjustment: When the system detects that the unit load fluctuates by ±15% within 10 seconds, it immediately triggers the "predictive adjustment mode". In this mode, the system pre-adjusts the speed of the magnetic levitation fan 5 seconds in advance according to 80% of the predicted airflow (for example, when the unit load suddenly increases from 50% to 70%, the predicted airflow increases, and the speed of the magnetic levitation fan is pre-increased from 28,000 rpm to 33,600 rpm), effectively shortening the response lag time in traditional adjustment methods. Pressure Coordination Control: The magnetic levitation bearing controller acquires rotor position signals at a high frequency of 20,000 times per second. Through real-time and precise electromagnetic force compensation (compensation accuracy up to ±1μm), it maintains the outlet pressure of the magnetic levitation fan at a stable level of 88±2kPa. For example, when the fan speed increases and causes the outlet pressure to exceed the set range, the controller fine-tunes the rotor suspension gap to reduce wind resistance, thereby restoring the outlet pressure to the stable range.

[0098] Furthermore, a rapid feedback loop is implemented: within 10 seconds of the magnetic levitation fan completing airflow adjustment, the system uses a flue gas flow meter and a calcium sulfite detector to quickly verify the actual airflow deviation. If the deviation between the actual airflow and the target airflow is detected to be greater than ±1%, the system will immediately trigger a secondary fine-tuning mechanism to further precisely adjust the speed of the magnetic levitation fan, ensuring that the adjustment accuracy ultimately reaches ±0.5%. A long-term optimization loop is also implemented: the remote operation and maintenance platform conducts in-depth analysis of monthly operational data such as "load-flow-energy consumption," and optimizes and corrects adjustment coefficients (such as Kflow) based on the data analysis results. For example, if long-term operational data analysis reveals that the Kflow value is too high under a specific operating condition, it is optimized and reduced from 8% to 7%, thereby continuously improving the overall operating efficiency of the system and ensuring that the annual energy saving rate remains at ≥30%.

[0099] For example, during actual operation of a power plant, the unit load suddenly surged, causing the flue gas flow rate to increase rapidly by 30% within 30 seconds. The system, through its load prediction and adjustment function, responded quickly, simultaneously increasing the airflow of the magnetic levitation fan by 25%. Within 10 seconds of the adjustment, the detection equipment detected a calcium sulfite content of 8.2%, which deviated from the target value. The system then triggered a secondary fine-tuning, further increasing the airflow by 3%. After this second fine-tuning, the deviation between the actual airflow and the target airflow was controlled within 0.6%, fully meeting the requirements of the desulfurization process for precise airflow control.

[0100] like Figure 2 As shown, the sensor layer consists of a unit load sensor (A), a flue gas flow meter (B), and a calcium sulfite detector (C). The unit load sensor monitors changes in unit load in real time, providing crucial information for predicting changes in flue gas volume; the flue gas flow meter accurately measures flue gas flow, directly reflecting the basic demand for oxidation air; and the calcium sulfite detector provides real-time feedback on the final effect of the oxidation reaction. Together, these three provide accurate and timely data support for the entire regulation system. The model calculation layer includes a parameter fusion processing module (D) and a target air volume calculation module (E). The parameter fusion processing module is responsible for comprehensively analyzing the collected multi-source parameters, eliminating abnormal data (for example, when the relationship between load and flow deviates from the pre-established correlation model, the data is marked as abnormal and eliminated), ensuring the accuracy and reliability of the data; the target air volume calculation module uses the dynamic air volume calculation formula constructed in this invention to transform the fused parameters into a precise target air volume, effectively solving the problem of blindness in traditional single-parameter regulation methods. The execution layer's core is a magnetic levitation fan (G). With its unique 40%-100% wide airflow adjustment range and rapid response characteristics, the magnetic levitation fan can precisely adjust the airflow according to the system's commands. During the adjustment process, it performs pre-adjustment based on the prediction results of the load change judgment module (F) and secondary fine-tuning based on feedback information from the airflow deviation verification module (H), ensuring that the airflow finally delivered to the desulfurization absorption tower (I) accurately matches the actual demand, so that the calcium sulfite content in the absorption tower is stably maintained within the ideal range of 5%-8%.

[0101] This invention employs a dual closed-loop control strategy of load prediction and deviation feedback. The load prediction loop can respond in advance when key parameters such as unit load change abruptly, quickly adjusting the operating state of the magnetic levitation fan and effectively shortening the system's response time. The deviation feedback loop, by monitoring the deviation between the actual airflow and the target airflow in real time, performs secondary fine-tuning of the magnetic levitation fan, ensuring high precision in airflow regulation. This dual closed-loop design fundamentally solves the problems of lag and insufficient precision in response to complex operating conditions and fluctuations in traditional regulation methods, significantly improving the overall performance and stability of the system.

[0102] like Figures 3-10 As shown, the sensor layer related to the system of this invention includes: parameter acquisition sensors, unit load sensors, SO2 concentration analyzers, flue gas velocity meters, slurry density meters, oxidation air volume meters, and pressure sensors. These sensors collect desulfurization system operating parameters in real time, such as SO2 content in flue gas, air volume, and pressure, providing basic data for system regulation. This corresponds to "real-time acquisition of key parameters of the desulfurization tower (sulfur content in flue gas, slurry state in the absorption tower, etc.)". Signal Transmission and DCS Control: Signals collected by sensors are transmitted to the DCS controller. After analysis by the data processing module and calculation by the control logic module, control commands are output based on a preset model (combined with desulfurization requirements, parameter changes, etc.), replacing the original wireless communication. Centralized processing and control through the DCS system ensures the timeliness and accuracy of data processing, aligning with the "control signal access logic configuration." Execution End (Magnetic Levitation Fan Related): The frequency converter, high-speed permanent magnet synchronous motor, magnetic levitation bearing system, fan body, and magnetic levitation fan work together to receive commands from the DCS controller, adjusting fan speed and airflow. Utilizing the efficient and precise adjustment characteristics of the magnetic levitation fan, it meets the dynamic airflow requirements for desulfurization oxidation, corresponding to "the magnetic levitation fan controller adjusting the high-speed permanent magnet synchronous motor speed to match the airflow." Operation and Monitoring End: A fault diagnosis server, fault diagnosis module, remote monitoring platform, and monitoring devices connected to a 4G network / industrial Ethernet are used for equipment status monitoring, fault diagnosis, and remote operation and maintenance, assisting in ensuring stable system operation and reducing maintenance costs, echoing "integrated safety protection and operation and maintenance optimization."

[0103] The entire system, through sensor data acquisition, centralized DCS processing and control, magnetic levitation fan execution, and coordinated operation and maintenance monitoring, achieves dynamic, precise, and efficient adjustment of desulfurization and oxidation air volume, thereby improving desulfurization efficiency and energy saving. Furthermore, the system comprises the following layers: Sensing Layer: Covering all parameters of the desulfurization tower (calcium sulfite, pH, SO2 concentration) and the fan body (vibration, pressure, flow rate), with a 1-second acquisition frequency ensuring real-time adjustment; Decision Layer: The DCS incorporates a "calcium sulfite demand-airflow dynamic model," calculating the target airflow in real-time based on the desulfurization reaction formula; Execution Layer: The magnetic levitation fan achieves ±1% airflow adjustment accuracy through a "dual-core controller + magnetic bearing self-balancing," resulting in over 30% energy savings compared to traditional fans; Feedback Layer: A closed loop is formed between airflow, calcium sulfite, and desulfurization efficiency. When calcium sulfite content fluctuates by more than 5%, the system automatically triggers a "rapid adjustment mode"; Operation and Maintenance Layer: Supports remote diagnosis of fan bearing health (predictive maintenance), generating monthly energy efficiency reports to optimize operational strategies.

[0104] In summary, compared with existing desulfurization and oxidation air volume regulation technologies, the present invention has the following significant advantages: 1. Significantly Improved Adjustment Precision and Desulfurization Efficiency: Airflow adjustment precision reaches ±1%, a qualitative leap compared to the ±5%-10% adjustment precision of traditional fans. Combined with parameters collected in real-time by the DCS system, the target airflow is calculated in real-time through a dynamic model, ensuring sufficient desulfurization reaction, stable control of calcium sulfite content at ≤8%, and desulfurization efficiency exceeding 95%, with fluctuation range reduced to within ±1.5%. Calcium sulfite content can be stably maintained within the ideal range of 5%-8%, while the fluctuation range under traditional adjustment methods is 6%-15%. This significantly improves gypsum purity, increasing it from 85% to over 95%, reducing secondary processing costs due to substandard quality (saving 100,000-150,000 RMB annually) and enhancing product market competitiveness. Facing extreme conditions such as sudden load changes (±20% / 10 seconds), the response time is ≤5 seconds, while the response time of traditional adjustment methods is ≥30 seconds. Rapid response ensures that desulfurization efficiency remains stable at over 95% under complex operating conditions, avoiding efficiency decline caused by adjustment lag.

[0105] 2. Significantly Reduced Energy Consumption and Operating Costs: Magnetic levitation bearings eliminate mechanical friction, reducing mechanical losses by over 30%; high-speed permanent magnet synchronous motors achieve efficiencies exceeding 95% (compared to only 85%-90% for traditional asynchronous motors); dynamic airflow adjustment avoids the "oversized motor for undersized load" phenomenon, resulting in 30%-40% energy savings compared to traditional fans. Annual energy savings per unit can reach 146,000 to 450,000 kWh, which translates to annual electricity cost savings of 88,000 to 270,000 yuan based on an industrial electricity price of 0.6 yuan / kWh. Magnetic levitation bearings require no lubrication, extending the maintenance-free period to over 5 years, reducing annual maintenance costs from the traditional 20,000 yuan to less than 2,000 yuan, a reduction of 90%. This reduces the impact of equipment downtime for maintenance on production and lowers the overall operating costs of the power plant.

[0106] 3. Significantly Enhanced Adaptability and System Stability: The magnetic levitation fan's wide airflow adjustment range of 40%-100% perfectly adapts to the unit's full-load operation requirements from low to high load (0-100%), solving the problems of high energy consumption under low load conditions and insufficient adjustment capacity under high load conditions associated with traditional fans. A dual closed-loop feedback control mechanism monitors and adjusts the system's operating status in real time, effectively suppressing instability caused by fluctuations in operating conditions. The system's mean time between failures (MTBF) has been significantly increased from the traditional 3000 hours to over 8000 hours, reducing the risk of unplanned downtime and improving production continuity and reliability.

[0107] 4. Significant Intelligent and Environmental Benefits: Remote operation and maintenance capabilities enable remote monitoring and automatic adjustment of the magnetic levitation fan and the entire desulfurization system, significantly reducing the frequency of manual intervention (more than 300 operations can be reduced annually), providing support for the construction of smart power plants. Utilizing industrial Ethernet, signal transmission latency is reduced to <10ms, ensuring real-time execution of adjustment commands. Integrated sensor clusters and fault diagnosis modules provide early warnings of equipment anomalies, reducing fault response time from the traditional 30 minutes to less than 5 minutes, adapting to the operation and maintenance needs of intelligent power plants while simultaneously meeting the dual requirements of environmental protection and energy conservation.

[0108] Example 3 This invention also provides a desulfurization oxidation air volume dynamic adjustment device 10 based on a magnetic levitation fan, such as... Figure 11 As shown, the device 10 includes: The operating parameter acquisition module 100 is used to collect the operating parameters of the desulfurization system in real time, including unit load, flue gas flow rate and calcium sulfite content in the absorber slurry; The multi-parameter dynamic correlation model calculation module 200 is used to calculate the target air volume based on the multi-parameter dynamic correlation model. The model dynamically adjusts the influence weight of each parameter to generate the target air volume by quantifying the prediction of the total amount of flue gas caused by the change of unit load, the positive relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content. The magnetic levitation fan speed regulation module 300 is used to adjust the speed of the magnetic levitation fan according to the target air volume. By utilizing its wide air volume adjustment range and high-precision frequency control characteristics, it stabilizes the outlet pressure within the set range and achieves rapid air volume response. The dual closed-loop feedback optimization module 400 is used to optimize the adjustment process through a dual closed-loop feedback mechanism. The mechanism includes a pre-adjustment loop based on sudden load changes and a secondary fine-tuning loop based on actual air volume deviation. Combined with a remote operation and maintenance platform, the model parameters are periodically corrected to improve long-term operating efficiency.

[0109] Furthermore, the operation parameter acquisition module is also used for: A high-precision load sensor is used to acquire the unit's load signal at a frequency of once per second. The sensor's measurement range covers 0-100% of the rated load and has an accuracy of ±0.5%. The calcium sulfite content in the absorber slurry is monitored every 30 seconds using a laser scattering detector with a measurement range of 0-20% and an accuracy of ±0.1%.

[0110] Furthermore, the multi-parameter dynamic correlation model calculation module is also used for: According to the formula Calculate the target air volume, where The baseline air volume is 123.3 m³ / min. When the calcium sulfite content is below 5%, The absolute value is increased to 1.2 times the baseline value to avoid energy waste caused by excessive oxidation.

[0111] Furthermore, the magnetic levitation fan speed regulation module is also used for: The target air volume is determined based on the air volume-speed characteristic curve of the magnetic levitation fan. Convert to target speed The characteristic curves are established using factory calibration data; When the unit load fluctuates by ±15% within 10 seconds, the predictive adjustment mode is triggered, and the speed is adjusted 5 seconds in advance according to 80% of the predicted air volume.

[0112] Furthermore, the dual-loop feedback optimization module is also used for: If, within 10 seconds after the magnetic levitation fan completes the airflow adjustment, the deviation between the actual airflow and the target airflow is detected to be greater than ±1%, the rotation speed will be corrected by ±3% through a secondary fine-tuning mechanism. The remote operation and maintenance platform adjusts the adjustment coefficient monthly based on load-flow-energy consumption operation data. Optimize and correct.

[0113] Furthermore, it also includes: The industrial Ethernet data transmission module is used to transmit sensor data to the DCS controller via industrial Ethernet with a delay of less than 10ms, and to generate control commands in real time based on the DCS's built-in calcium sulfite demand-airflow dynamic model.

[0114] This invention discloses a desulfurization and oxidation air volume dynamic adjustment device based on a magnetic levitation fan, which realizes precise dynamic adjustment of the desulfurization and oxidation air volume, improves desulfurization efficiency and system stability, and reduces energy consumption and maintenance costs.

[0115] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0116] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0117] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A method for dynamically adjusting the desulfurization and oxidation air volume based on a magnetic levitation fan, characterized in that, include: S1 collects real-time operating parameters of the desulfurization system, including unit load, flue gas flow rate, and calcium sulfite content in the absorber slurry; S2, the target air volume is calculated based on a multi-parameter dynamic correlation model. The model dynamically adjusts the influence weight of each parameter to generate the target air volume by quantifying the prediction of the total amount of flue gas caused by changes in unit load, the positive relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content. S3 adjusts the speed of the magnetic levitation fan according to the target air volume, and uses its wide air volume adjustment range and high-precision frequency control characteristics to stabilize the outlet pressure within the set range and achieve rapid air volume response. S4 optimizes the adjustment process through a dual closed-loop feedback mechanism, which includes a pre-adjustment loop based on sudden load changes and a secondary fine-tuning loop based on actual air volume deviation. Combined with a remote operation and maintenance platform, the model parameters are periodically corrected to improve long-term operating efficiency.

2. The method as described in claim 1, characterized in that, The real-time acquisition of desulfurization system operating parameters also includes: S11 employs a high-precision load sensor to acquire unit load signals at a frequency of once per second. The sensor's measurement range covers 0-100% of the rated load and has an accuracy of ±0.5%. S12, the calcium sulfite content in the absorber slurry is monitored every 30 seconds using a laser scattering detector with a measurement range of 0-20% and an accuracy of ±0.1%.

3. The method as described in claim 1, characterized in that, The calculation of the target air volume based on the multi-parameter dynamic correlation model also includes: S21, according to formula Calculate the target air volume, where The baseline air volume is 123.3 m³ / min. S22, when the calcium sulfite content is less than 5%, The absolute value is increased to 1.2 times the baseline value to avoid energy waste caused by excessive oxidation.

4. The method as described in claim 1, characterized in that, The method of adjusting the speed of the magnetic levitation fan according to the target air volume also includes: S31, based on the air volume-speed characteristic curve of the magnetic levitation fan, the target air volume is... Convert to target speed The characteristic curves are established using factory calibration data; S32: When the unit load fluctuates by ±15% within 10 seconds, the predictive adjustment mode is triggered, and the speed is adjusted 5 seconds in advance according to 80% of the predicted air volume.

5. The method as described in claim 1, characterized in that, The optimization and adjustment process through the dual closed-loop feedback mechanism also includes: S41, within 10 seconds after the magnetic levitation fan completes the air volume adjustment, if the deviation between the actual air volume and the target air volume is detected to be greater than ±1%, the rotation speed will be corrected by ±3% through a secondary fine-tuning mechanism. S42, the remote operation and maintenance platform adjusts the adjustment coefficient monthly based on load-flow-energy consumption operation data. Optimize and correct.

6. The method as described in claim 1, characterized in that, Also includes: The S5 transmits sensor data to the DCS controller via industrial Ethernet with a delay of less than 10ms, and generates control commands in real time based on the DCS's built-in calcium sulfite demand-airflow dynamic model.

7. A desulfurization oxidation air volume dynamic adjustment device based on a magnetic levitation fan, characterized in that, include: The operating parameter acquisition module is used to collect desulfurization system operating parameters in real time, including unit load, flue gas flow rate, and calcium sulfite content in the absorber slurry; The multi-parameter dynamic correlation model calculation module is used to calculate the target air volume based on the multi-parameter dynamic correlation model. The model dynamically adjusts the influence weight of each parameter to generate the target air volume by quantifying the prediction of the total flue gas volume by the unit load change, the positive relationship between flue gas flow and oxidation demand, and the feedback adjustment of calcium sulfite content. The magnetic levitation fan speed regulation module is used to adjust the speed of the magnetic levitation fan according to the target air volume. By utilizing its wide air volume adjustment range and high-precision frequency control characteristics, the outlet pressure is stabilized within the set range and the air volume is quickly responded to. The dual-loop feedback optimization module is used to optimize the adjustment process through a dual-loop feedback mechanism, which includes a pre-adjustment loop based on sudden load changes and a secondary fine-tuning loop based on actual air volume deviation. Combined with a remote operation and maintenance platform, the model parameters are periodically corrected to improve long-term operating efficiency.

8. The apparatus as claimed in claim 7, characterized in that, The operating parameter acquisition module is also used for: A high-precision load sensor is used to acquire the unit's load signal at a frequency of once per second. The sensor's measurement range covers 0-100% of the rated load and has an accuracy of ±0.5%. The calcium sulfite content in the absorber slurry is monitored every 30 seconds using a laser scattering detector with a measurement range of 0-20% and an accuracy of ±0.1%.

9. The apparatus as claimed in claim 7, characterized in that, The multi-parameter dynamic correlation model calculation module is also used for: According to the formula Calculate the target air volume, where The baseline air volume is 123.3 m³ / min. When the calcium sulfite content is below 5%, The absolute value is increased to 1.2 times the baseline value to avoid energy waste caused by excessive oxidation.

10. The apparatus as claimed in claim 7, characterized in that, The magnetic levitation fan speed regulation module is also used for: The target air volume is determined based on the air volume-speed characteristic curve of the magnetic levitation fan. Convert to target speed The characteristic curves are established using factory calibration data; When the unit load fluctuates by ±15% within 10 seconds, the predictive adjustment mode is triggered, and the speed is adjusted 5 seconds in advance according to 80% of the predicted air volume.

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