Intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method, system and storage medium

Abstract

The present application relates to the field of coal powder furnace flue gas treatment, and discloses an intelligent control type coal powder furnace flue gas desulfurization, denitrification and dust removal method, system and storage medium, the method: obtaining the first pressure value and the first reaction temperature of the denitrification device; obtaining the second pressure value and the third pressure value of the outlet of the dust removal device; obtaining the fourth pressure value, the fifth pressure value and the second reaction temperature of the desulfurization device; obtaining the fan speed; the difference between the second pressure value and the first pressure value is the first pressure difference; the difference between the fourth pressure value and the third pressure value is the second pressure difference; the difference between the fifth pressure value and the fourth pressure value is the third pressure difference; the total pressure difference = a1×|first pressure difference|+a2×|second pressure difference|+a3×|third pressure difference|; if the total pressure difference exceeds the threshold, an alarm is issued; otherwise, the first reaction temperature, the second reaction temperature and the speed are adjusted according to the total pressure difference. The present application optimizes the control of the denitrification, desulfurization and dust removal system and reduces the frequency of failures.

Description

Technical Field

[0001] The present application relates to the technical field of desulfurization and denitrification of flue gas from pulverized coal furnaces, and in particular to an intelligent controllable method, system and storage medium for desulfurization, denitrification and dust removal of flue gas from pulverized coal furnaces. Background Art

[0002] Pulverized coal furnaces emit sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matter and other pollutants in the flue gas. The pulverized coal furnace flue gas desulfurization, denitrification and dust removal system is usually composed of three core parts: desulfurization device, denitrification device and dust removal device.

[0003] Desulfurization equipment is mainly used to remove sulfur dioxide (SO2) from flue gas. Common desulfurization technologies include wet desulfurization and dry desulfurization. Wet desulfurization is widely used due to its high efficiency. Among wet desulfurization, limestone-gypsum desulfurization process is one of the most common technologies. This technology uses limestone slurry as a desulfurizer, which reacts chemically with SO2 in flue gas in the absorption tower to produce gypsum and other by-products, thereby achieving the purpose of desulfurization.

[0004] The denitrification device is used to remove nitrogen oxides (NOx) from flue gas. The current mainstream denitrification technologies include selective catalytic reduction (SCR) and selective non-catalytic reduction (SNCR). SCR technology uses a reducing agent such as ammonia (NH3) or urea to reduce NOx to nitrogen (N2) and water (H2O) under the action of a catalyst. SNCR technology does not require a catalyst and directly sprays the reducing agent into the flue gas under high temperature conditions to react with NOx. Both technologies have their own advantages and disadvantages, and the specific choice should be based on actual conditions.

[0005] The dust removal device is used to remove particulate matter from flue gas. Common dust removal equipment includes electrostatic precipitators and bag filters. Electrostatic precipitators use electric fields to ionize gases, so that dust particles are charged and collected on the plates under the action of the electric field force. Bag filters intercept particulate matter in flue gas through filter bags. The two types of dust removal equipment have their own characteristics. Electrostatic precipitators are suitable for processing large-flow, high-concentration dust-containing flue gas, while bag filters have the advantages of high dust removal efficiency and strong adaptability.

[0006] In the related art, refer to Figure 1 The pulverized coal furnace flue gas desulfurization, denitrification and dust removal system includes a pulverized coal furnace 1, a denitrification device (high-temperature flue 2, a flue gas uniform distribution device 3, an electric regulating damper 4, a raw flue gas side of a GGH heat exchanger 5, a vertical flue 6, an ammonia spray grid 7, an ammonia water supply device 8, an ammonia water evaporator 9, a recirculating wind turbine 10, a static mixer 11, an SCR reactor 12, a clean flue gas side of a GGH heat exchanger 13), a dust removal device 14, a desulfurization device 15, a fan 16, and a chimney 17.

[0007] The desulfurization, denitrification and dust removal technologies in the related technologies include denitrification devices, desulfurization devices, and dust removal devices. Although they have achieved certain environmental protection effects, the existing devices are installed with various sensors with display dials or display screens in the pipes and reaction devices in the denitrification devices, desulfurization devices, and dust removal devices. During the denitrification, desulfurization and dust removal process, when the index of a certain sensor exceeds the standard, an alarm is triggered. When the system is slightly blocked or otherwise abnormal, the sensor generally does not alarm. At this time, it is necessary to rely on manual methods for regular monitoring and manual maintenance in advance; therefore, relying on manual methods may not necessarily detect minor abnormalities in a timely manner. Summary of the invention

[0008] In order to help improve the control effect of the denitrification, desulfurization and dust removal system, reduce the frequency of failures and reduce labor consumption, the present application provides an intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method, system and storage medium.

[0009] In the first aspect, the present application provides an intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method, which adopts the following technical solution:

[0010] An intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method, based on a denitrification device, a desulfurization device and a dust removal device, the method comprises:

[0011] Obtaining a first pressure value and a first reaction temperature at an outlet of a denitration device;

[0012] Acquire a fourth pressure value at the inlet and a fifth pressure value at the outlet of the desulfurization device, and a second reaction temperature of the desulfurization device;

[0013] Obtaining a second pressure value at an inlet and a third pressure value at an outlet of the dust removal device;

[0014] Get the fan speed;

[0015] Calculate the difference between the second pressure value and the first pressure value as a first pressure difference value;

[0016] Calculate the difference between the fourth pressure value and the third pressure value as a second pressure difference value;

[0017] Calculate the difference between the fifth pressure value and the fourth pressure value as a third pressure difference value;

[0018] The total pressure difference is calculated by weighted average; the total pressure difference=a1×|first pressure difference|+a2×|second pressure difference|+a3×|third pressure difference|, where a1, a2 and a3 are weights corresponding to |first pressure difference|, |second pressure difference| and |third pressure difference|, respectively;

[0019] If the total pressure difference exceeds the corresponding threshold, an alarm is issued; if the total pressure difference does not exceed the corresponding threshold, the increase or decrease of the first reaction temperature of the denitrification device, the second reaction temperature of the desulfurization device and the speed of the fan are adjusted according to the total pressure difference; the larger the total pressure difference, the larger the increase of the first temperature, the larger the increase of the second temperature, and the larger the decrease of the speed; the smaller the total pressure difference, the smaller the increase of the first temperature, the smaller the increase of the second temperature, and the smaller the decrease of the speed; wherein the increase is the growth amplitude relative to the corresponding initial preset value.

[0020] By adopting the above technical solution, through real-time data collection and analysis of pressure data, pressure monitoring of multiple positions in the flue gas treatment process is realized. Through pressure monitoring, it can be indirectly judged whether there is blockage or other abnormal conditions. If the data is abnormally large, it means that damage or more serious conditions may occur, and manual maintenance is required. If the data is not abnormal, the temperature of the reaction or the speed of the fan can be adjusted to balance the denitration, desulfurization and dust removal process, such as insufficient reaction or other unstable smoke treatment states. For example, when the system is slightly blocked, the temperature of the reaction can be appropriately increased, the speed of the chemical reaction can be accelerated, so that the amount of gas produced by the denitration or desulfurization reaction will be more, and the speed of the fan can be reduced, so as to increase the pressure in the pipeline to a certain extent. During the gas flow process, a certain impact force can be formed on the slightly blocked parts to achieve the flushing effect; when the blockage disappears, the corresponding difference will also decrease, so that the temperature and wind force will also return to the initial state accordingly; through the above control method, it helps to reduce the probability of equipment maintenance; to a certain extent, it can extend the service life of the equipment. Therefore, the denitration temperature, desulfurization temperature, fan speed, and monitoring frequency are dynamically adjusted according to actual needs, effectively avoiding waste of resources. The pressure difference threshold is set, and an alarm is issued once it is exceeded, which improves the safety performance of the system. By integrating data collection and intelligent control of the three key links of denitration, dust removal and desulfurization, efficient monitoring and automatic adjustment of the flue gas treatment process are achieved.

[0021] Optionally, the method further comprises:

[0022] Obtaining a first flow value at an outlet of a denitration device;

[0023] Obtaining a second flow value at an outlet of the dust removal device;

[0024] Obtaining a third flow value at the outlet of the desulfurization device;

[0025] According to the first flow value, the second flow value and the third flow value, the total flow value is calculated by weighted average; the total flow value = b1 × first flow value + b2 × second flow value + b3 × third flow value, where b1, b2 and b3 are the weights corresponding to the first flow value, the second flow value and the third flow value respectively;

[0026] If the total flow value exceeds the corresponding flow threshold, an alarm will be issued; if the total flow value does not exceed the corresponding threshold, the monitoring frequency will be adjusted according to the change speed of the total flow value. The faster the change speed, the higher the monitoring frequency; the slower the change speed, the lower the monitoring frequency.

[0027] By adopting the above technical solution, not only the dynamic regulation of the pressure difference is taken into account, but also the real-time monitoring and analysis of the flow value is combined, so that the system can more comprehensively grasp the state of the flue gas treatment process and make corresponding adjustments accordingly. The monitoring frequency is automatically adjusted according to the speed of change of the total flow value, realizing a flexible response to the system status. When the flow changes quickly, the monitoring frequency is increased to grasp the system dynamics more timely; when the flow changes slowly, the monitoring frequency is reduced to reduce unnecessary resource consumption.

[0028] Optionally, the method further comprises:

[0029] Calculate the difference between the second flow value and the first flow value as the absolute value of the first flow difference;

[0030] Calculate the difference between the third flow value and the second flow value as the absolute value of the second flow difference;

[0031] According to the absolute value of the first flow difference and the absolute value of the second flow difference, a total flow difference is calculated, where the total flow difference=the absolute value of the first flow difference+the absolute value of the second flow difference;

[0032] The size of the flow threshold is adjusted according to the total flow difference. The larger the total flow difference is, the smaller the flow threshold is; the smaller the total flow difference is, the larger the flow threshold is.

[0033] By adopting the above technical solution, since the flow value will gradually decrease if there is leakage during the step-by-step flow of gas flow, if the change in the total flow difference reflects the change in the leakage situation, the flow threshold can be dynamically adjusted, which makes it easier to discover and solve problems in time, thereby helping to reduce pollution to the environment.

[0034] Optionally, the method further comprises:

[0035] Convert the time domain signal quantity of the total pressure difference value within the set time period into the frequency domain signal quantity;

[0036] If the abnormal frequency is matched from the frequency domain signal quantity, the amplitude corresponding to the abnormal frequency is summed to obtain the abnormal quantity;

[0037] If the abnormal amount exceeds the first range value, an alarm is issued;

[0038] If the abnormal amount does not exceed the first range value and exceeds the second range value, the increase in the total pressure difference is adjusted according to the size of the abnormal amount; the larger the abnormal amount, the larger the increase in the total pressure difference; the smaller the abnormal amount, the smaller the increase in the total pressure difference.

[0039] By adopting the above technical solutions, frequency domain analysis can reveal periodic or non-periodic features in the signal that are not easily observed in the time domain, which helps to discover potential abnormalities or fault modes. The calculation of the abnormal amount provides the system with a quantitative indicator for evaluating the severity of the current pressure fluctuation state. The larger the abnormal amount, the greater the increase in the total pressure difference; the smaller the abnormal amount, the smaller the increase. This adjustment method aims to suppress the development of abnormal fluctuations by fine-tuning the system parameters to prevent them from further deterioration. Therefore, it can not only improve the monitoring and control capabilities of the system, but also enhance the stability and reliability of the system.

[0040] Optionally, the method further comprises:

[0041] Obtain the historical opening values ​​of the electric damper and the historical flow values ​​in the vertical flue;

[0042] A first functional relationship is established according to the historical opening size values, the historical flow values ​​in the vertical flue and the historical first flow values;

[0043] The flow value in the vertical flue is obtained in real time, and the theoretical first flow value is calculated;

[0044] Calculating an ideal difference value based on the first flow value obtained in real time and the theoretical first flow value;

[0045] Calculate the average of the absolute values ​​and the average values ​​of the ideal difference values ​​within the first set time period;

[0046] When the average value of the sum of the ideal difference values ​​exceeds the corresponding average threshold, an alarm is issued;

[0047] When the acceleration of the average value of the sum of the ideal difference values ​​exceeds the corresponding acceleration threshold, the duration of the first set time is shortened.

[0048] By adopting the above technical solution, the ideal difference reflects the deviation between the actual flow and the predicted flow, which is an important basis for evaluating the system operation status and conducting regulation. When this average value exceeds the corresponding average threshold, it means that the system flow deviation is large, and there may be blockage, leakage or other abnormal conditions, at which time the alarm mechanism is triggered. Calculate the acceleration of the average value of the ideal difference and the value, that is, its rate of change. When this acceleration exceeds the corresponding acceleration threshold, it means that the flow deviation is changing rapidly and the system may need a faster response.

[0049] Optionally, the method further comprises:

[0050] Acquire a first vibration parameter in the dust removal device, and fit a first vibration curve corresponding to the first vibration parameter;

[0051] Converting a signal corresponding to the first vibration parameter in the time domain into a signal corresponding to the first vibration parameter in the frequency domain;

[0052] Calculating a first power spectrum density corresponding to a first vibration parameter in the frequency domain;

[0053] If the first power spectrum density exceeds the corresponding power threshold, an alarm is issued;

[0054] Otherwise, the rotation speed of the fan is adjusted according to the first power spectrum density, and the larger the first power spectrum density is, the larger the rotation speed of the fan is; and the smaller the first power spectrum density is, the smaller the rotation speed of the fan is.

[0055] By adopting the above technical solution, the power spectral density (PSD) is a physical quantity that describes the change of signal power with frequency. By calculating the PSD, the energy of each frequency component in the vibration signal can be understood, so as to determine whether the vibration state of the dust removal device is normal. A power threshold is set according to experience or equipment requirements. When the calculated PSD exceeds this threshold, it means that the vibration of the dust removal device is abnormal, and there may be a risk of failure or damage. At this time, the alarm mechanism is triggered to remind the operator to check and maintain. If the PSD is within the normal range, it means that the dust removal device is running stably. At this time, the speed of the fan can be dynamically adjusted according to the size of the PSD. The larger the PSD, the more air volume may be needed for the dust removal device to maintain stable operation, so the fan speed is increased; the smaller the PSD, the fan speed is appropriately reduced to save energy. At the same time, it should be noted that the fan speed has a numerical range limit to avoid damage to the equipment or reduced efficiency due to too fast or too slow.

[0056] The fan speed has a limited range of values.

[0057] Optionally, the method further comprises:

[0058] Get the speed of the recirculation wind turbine;

[0059] Acquire a second vibration parameter at the static mixer, and fit a second vibration curve corresponding to the second vibration parameter;

[0060] Converting a signal corresponding to the second vibration parameter in the time domain into a signal corresponding to the second vibration parameter in the frequency domain;

[0061] Calculating a second power spectrum density corresponding to a second vibration parameter in the frequency domain;

[0062] If the second power spectrum density exceeds the corresponding power threshold, an alarm is issued;

[0063] Otherwise, the rotation speed of the recirculation wind turbine is adjusted according to the second power spectrum density. The larger the second power spectrum density is, the larger the rotation speed of the recirculation wind turbine is; the smaller the second power spectrum density is, the smaller the rotation speed of the recirculation wind turbine is.

[0064] By adopting the above technical solution, if the second power spectrum density is within the normal range, it means that the static mixer is operating stably. At this time, the speed of the recirculation wind turbine can be dynamically adjusted according to the size of the second power spectrum density. Specifically, the larger the second power spectrum density, the more likely there is a slight blockage of smoke. The static mixer may need more air volume to flush the slightly blocked parts, so that it can maintain stable operation or improve its processing efficiency, thereby increasing the speed of the recirculation wind turbine; otherwise, the speed is appropriately reduced to save energy. By real-time monitoring and regulation of the vibration state of the recirculation wind turbine and the static mixer, the stability and efficiency of the pulverized coal furnace flue gas treatment system can be further improved, and the failure rate and operating costs can be reduced.

[0065] The speed of the recirculation wind turbine is limited to a certain range of values.

[0066] Optionally, the method further comprises:

[0067] The value of a1 is adjusted according to the first flow difference. The larger the first flow difference, the larger a1 is; the smaller the first flow difference, the smaller a1 is;

[0068] The size of a2 is adjusted according to the second flow difference; the larger the second flow difference is, the larger a2 is; the smaller the second flow difference is, the smaller a2 is.

[0069] By adopting the above technical solution, a certain control parameter a1 is dynamically adjusted according to the size of the first flow difference. When the first flow difference increases, it means that the degree of deviation of the actual flow from the set flow increases. At this time, the value of a1 needs to be increased to strengthen the corresponding control effect, such as increasing the fan speed or adjusting the valve opening, etc., to reduce the flow deviation. Conversely, when the first flow difference decreases, the value of a1 is appropriately reduced to maintain the stable operation of the system and avoid excessive control. Similar to the adjustment of a1, another control parameter a2 is dynamically adjusted according to the size of the second flow difference. By adjusting the value of a2, fine control of the flow at different positions of the system can be achieved to achieve the effect of overall optimization. When the second flow difference increases, the value of a2 is increased to enhance the control effect; when the second flow difference decreases, the value of a2 is reduced to maintain the stability of the system. Since the sum of a1, a2 and a3 is 1, when adjusting a1 and a2, the value of a3 will also be affected. By introducing the feedback adjustment mechanism of flow difference, combined with the vibration parameter monitoring, fan and recirculation fan speed adjustment mentioned above, comprehensive monitoring and dynamic optimization of the pulverized coal furnace flue gas treatment system can be achieved. This comprehensive control strategy can not only improve the stability and efficiency of the system, but also reduce energy consumption and failure rate, and extend the service life of the equipment.

[0070] In the second aspect, the present application provides an intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal system, which adopts the following technical solutions:

[0071] An intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal system comprises a processor in which a program of any one of the above-mentioned intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal methods is run.

[0072] In a third aspect, the present application provides a storage medium, which adopts the following technical solution:

[0073] A storage medium storing a program of any one of the above-mentioned intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal methods.

[0074] In summary, the present application includes at least one of the following beneficial technical effects:

[0075] By installing pressure sensors at key locations of the denitrification device, dust removal device and desulfurization device, real-time pressure data can be obtained, which can fully reflect the operating status of the flue gas treatment system. Real-time data acquisition enables the system to respond immediately to any abnormal situation, such as blockage, leakage, etc., so as to take measures quickly to avoid the expansion of the problem. When abnormal situations such as minor blockage occur, by adjusting the temperature and wind speed, the airflow flushing effect is used to achieve self-cleaning, reducing the dependence on manual maintenance. According to the change of the total pressure difference, the first reaction temperature of the denitrification device, the second reaction temperature of the desulfurization device and the speed of the fan are automatically adjusted to achieve the best treatment effect and energy consumption balance. By dynamically adjusting the reaction temperature and fan speed, unnecessary energy consumption is avoided and the optimal allocation of resources is achieved. While improving the flue gas treatment efficiency, the emission of harmful substances is also reduced, which meets environmental protection requirements. The threshold of the pressure difference is set, and an alarm is issued once it is exceeded, which improves the safety performance of the system and avoids the occurrence of major accidents. Through intelligent control strategies, the long-term stable operation of the flue gas treatment system is ensured and the service life of the equipment is extended. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a schematic diagram of the flue gas desulfurization, denitrification and dust removal system of a pulverized coal furnace.

[0077] Figure 2 The invention is a step diagram of an intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method.

[0078] Figure 3 It is a step diagram of the control method of the monitoring frequency.

[0079] Figure 4 This is a step diagram of a method for controlling a flow threshold.

[0080] Figure numerals: 1. Pulverized coal furnace; 2. High-temperature flue; 3. Flue gas uniform distribution device; 4. Electric regulating damper; 5. Raw flue gas side of GGH heat exchanger; 6. Vertical flue; 7. Ammonia spray grid; 8. Ammonia water supply device; 9. Ammonia water evaporator; 10. Recirculation wind turbine; 11. Static mixer; 12. SCR reactor; 13. Clean flue gas side of GGH heat exchanger; 14. Dust removal device; 15. Desulfurization device; 16. Fan; 17. Chimney. DETAILED DESCRIPTION

[0081] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0082] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0083] The present application discloses an intelligent control type coal powder furnace flue gas desulfurization, denitrification and dust removal method, referring to Figure 1 and Figure 2 , based on the denitration device, the dust removal device 14 and the desulfurization device 15, the method includes:

[0084] Obtain a first pressure value and a first reaction temperature at the outlet of the denitrification device; install a pressure sensor in the pipeline at the outlet of the denitrification device to monitor the pressure data of the flue gas at the outlet; install a temperature sensor in the device that produces the denitrification reaction in the denitrification device to monitor the temperature data of the denitrification chemical reaction.

[0085] The second pressure value at the inlet and the third pressure value at the outlet of the dust removal device 14 are obtained; pressure sensors are installed in the pipes at the inlet and outlet of the dust removal device 14 to monitor the pressure data of the flue gas at the inlet and outlet.

[0086] Obtain a fourth pressure value at the inlet and a fifth pressure value at the outlet of the desulfurization device 15, as well as a second reaction temperature of the desulfurization device 15; install pressure sensors in the pipes at the inlet and outlet of the desulfurization device 15 to monitor the pressure data of the flue gas at the inlet and outlet; install a temperature sensor in the device that generates the desulfurization reaction in the desulfurization device 15 to monitor the temperature data of the desulfurization chemical reaction.

[0087] The rotation speed of the fan 16 is obtained; the rotation speed of the fan 16 is obtained by the background control terminal.

[0088] The reason why we monitor the pressure value is that we can indirectly monitor the flow rate value. When the gas flows in the pipeline, if the inner diameter of the pipeline suddenly becomes smaller, such as encountering a contraction section of the inner diameter caused by a slight blockage, according to the Bernoulli principle, the flow rate of the gas will increase, and the pressure will decrease accordingly. This is because the total energy of the gas, that is, the sum of kinetic energy and potential energy, is conserved when friction loss is ignored. When the flow rate increases, its kinetic energy increases, so the potential energy will decrease. The potential energy can be regarded as pressure energy here.

[0089] Calculate the difference between the second pressure value and the first pressure value as a first pressure difference value;

[0090] Calculate the difference between the fourth pressure value and the third pressure value as a second pressure difference value;

[0091] Calculate the difference between the fifth pressure value and the fourth pressure value as a third pressure difference value;

[0092] The total pressure difference is calculated using a weighted average method; the total pressure difference=a1×|first pressure difference|+a2×|second pressure difference|+a3×|third pressure difference|, wherein a1, a2 and a3 are weights corresponding to |first pressure difference|, |second pressure difference| and |third pressure difference|, respectively.

[0093] For example, the first pressure value: P1=100;

[0094] The second pressure value: P2=110;

[0095] The third pressure value: P3=105;

[0096] Fourth pressure value: P4=115;

[0097] The fifth pressure value: P5=120;

[0098] The first pressure difference = P2-P1 = 110-100 = 10; the second pressure difference = P4-P3 = 115-105 = 10; the third pressure difference = P5-P4 = 120-115 = 5;

[0099] Assume that the weights a1, a2, and a3 are 0.4, 0.4, and 0.2, respectively. These weights can be adjusted according to actual conditions, but are only used as examples here.

[0100] The total pressure difference = 0.4×10+0.4×10+0.2×5=4+4+1=9.

[0101] If the total pressure difference exceeds the corresponding threshold, an alarm is issued; if the total pressure difference does not exceed the corresponding threshold, the increase or decrease of the first reaction temperature of the denitrification device, the second reaction temperature of the desulfurization device 15 and the rotational speed of the fan 16 are adjusted according to the total pressure difference; the larger the total pressure difference, the larger the increase of the first temperature, the larger the increase of the second temperature, and the larger the decrease of the rotational speed; the smaller the total pressure difference, the smaller the increase of the first temperature, the smaller the increase of the second temperature, and the smaller the decrease of the rotational speed; wherein the increase is the growth amplitude relative to the corresponding initial preset value.

[0102] For example, suppose:

[0103] Total pressure difference threshold: set to 10;

[0104] The initial preset value of the first reaction temperature of the denitration device is set to 300°C;

[0105] The initial preset value of the second reaction temperature of the desulfurization device 15 is set to 250°C;

[0106] The initial preset value of the speed of the fan 16 is set to 1500 RPM;

[0107] Assume that the calculated total pressure difference is 12, which exceeds the threshold of 10, and an alarm is issued.

[0108] Assume that the calculated total pressure difference is 9, which does not exceed the threshold value of 10;

[0109] Assume a simple linear relationship to model this regulation:

[0110] The first reaction temperature increase of the denitration device is set as T1=0.1×total pressure difference;

[0111] The second reaction temperature increment of the desulfurization device 15 is set to T2=0.08×total pressure difference;

[0112] The speed reduction of the fan 16 is set to S = -0.05 × the total pressure difference, and the negative sign indicates that the speed is reduced.

[0113] Substituting the total pressure difference of 9 into the formula:

[0114] T1=0.1×9=0.9℃;

[0115] T2 = 0.08 × 9 = 0.72 ° C;

[0116] S=-0.5×9=-4.5RPM, but the speed usually cannot be a decimal, so it needs to be rounded or integerized, for example, rounded to -5RPM.

[0117] Through real-time data collection and analysis of pressure data, pressure monitoring of multiple locations in the flue gas treatment process is achieved. Through pressure monitoring, it can be indirectly determined whether there is blockage or other abnormal conditions. If the data is abnormally large, it means that damage or a more serious situation may occur, and manual maintenance is required. If the data is not abnormal, the temperature of the reaction or the speed of the fan 16 can be adjusted to balance the denitration, desulfurization and dust removal process, such as insufficient reaction or other unstable smoke treatment states. For example, when the system is slightly blocked, the temperature of the reaction can be appropriately increased, the speed of the chemical reaction can be accelerated, so that the amount of gas produced by the denitration or desulfurization reaction will be more, and the speed of the fan 16 can be reduced, so as to increase the pressure in the pipeline to a certain extent. During the gas flow, a certain impact force can be formed on the slightly blocked parts to achieve the flushing effect. When the blockage disappears, the corresponding difference will also decrease, so that the temperature and wind force will also return to the initial state accordingly. Through the above control method, it helps to reduce the probability of equipment maintenance and to a certain extent, it can extend the service life of the equipment. Therefore, the denitration temperature, desulfurization temperature, speed of the fan 16, and monitoring frequency are dynamically adjusted according to actual needs, effectively avoiding waste of resources. The pressure difference threshold is set, and an alarm is issued once it is exceeded, which improves the safety performance of the system. By integrating data collection and intelligent control of the three key links of denitration, desulfurization and dust removal, efficient monitoring and automatic adjustment of the flue gas treatment process are achieved.

[0118] Reference Figure 3 , the method further comprises:

[0119] Obtaining a first flow value at an outlet of a denitration device;

[0120] Obtain a second flow value at the outlet of the dust removal device 14;

[0121] The third flow value at the outlet of the desulfurization device 15 is obtained.

[0122] The flow rate at the outlet of the denitrification device, the dust removal device 14 and the desulfurization device 15 is monitored by the flow sensor, so that the system can quickly understand the flue gas treatment efficiency of each link.

[0123] According to the first flow value, the second flow value and the third flow value, the total flow value is calculated by weighted average; the total flow value=b1×first flow value+b2×second flow value+b3×third flow value; wherein b1, b2 and b3 are the weights corresponding to the first flow value, the second flow value and the third flow value respectively.

[0124] If the total flow value exceeds the corresponding flow threshold, an alarm will be issued. Set the flow threshold. Once the total flow value exceeds the threshold, an alarm will be issued immediately to remind the operator to pay attention and take corresponding measures to prevent system overload or failure.

[0125] If the total flow value does not exceed the corresponding threshold, the monitoring frequency is adjusted according to the change speed of the total flow value. The faster the change speed, the higher the monitoring frequency; the slower the change speed, the lower the monitoring frequency. The monitoring frequency is automatically adjusted according to the change speed of the total flow value, realizing flexible response to the system status. When the flow changes quickly, the monitoring frequency is increased to grasp the system dynamics more timely; when the flow changes slowly, the monitoring frequency is reduced to reduce unnecessary resource consumption.

[0126] For example, the first flow value F1 at the outlet of the denitrification device is 100m 3 / h;

[0127] The second flow value F2 at the outlet of the dust removal device 14 = 150m 3 / h;

[0128] The third flow value F3 at the outlet of the desulfurization device 15 = 80m 3 / h;

[0129] Assume b1=0.3, b2=0.4, b3=0.3;

[0130] Flow threshold = 300m 3 / h;

[0131] Total flow value = 0.3 × 100 + 0.4 × 150 + 0.3 × 80 = 30 + 60 + 24 = 114m 3 / h;

[0132] Alarm judgment: Since the total flow value = 114m 3 / h<Flow rate threshold=300m 3 / h, so no alarm is issued.

[0133] If continuous monitoring finds that the total flow value changes very quickly, for example, it changes by more than 10m per minute. 3 / h, increase the monitoring frequency to once per minute.

[0134] If the change rate is slow, for example, the change does not exceed 5m per hour 3 / h, the monitoring frequency can be reduced to once an hour.

[0135] Therefore, this method not only takes into account the dynamic regulation of the pressure difference, but also combines the real-time monitoring and analysis of the flow value, so that the system can more comprehensively grasp the state of the flue gas treatment process and make corresponding adjustments accordingly. By timely discovering and handling abnormal conditions (such as blockages, leaks, etc.), the damage that may be caused to the equipment due to being in a bad state for a long time is reduced, thereby extending the service life of the equipment.

[0136] Reference Figure 4 , the method further comprises:

[0137] The difference between the second flow value and the first flow value is calculated as the absolute value of the first flow difference.

[0138] The difference between the third flow value and the second flow value is calculated as the absolute value of the second flow difference.

[0139] The total flow difference is calculated according to the absolute value of the first flow difference and the absolute value of the second flow difference. The total flow difference=the absolute value of the first flow difference+the absolute value of the second flow difference.

[0140] The flow threshold is adjusted according to the total flow difference. The larger the total flow difference, the smaller the flow threshold; the smaller the total flow difference, the larger the flow threshold. If the total flow difference is large, it may mean that there is a large flow loss in the system (such as leakage), so the flow threshold needs to be lowered to trigger the alarm earlier and find the problem in time. On the contrary, if the total flow difference is small, it means that the system flow loss is small, and the flow threshold can be relatively increased to reduce unnecessary alarms.

[0141] Assume the following flow values:

[0142] Denitrification device outlet F1=150m 3 / h; dust removal device 14 outlet F2 = 130m 3 / h; Desulfurization device 15 outlet F3 = 125m 3 / h;

[0143] Calculate the flow difference:

[0144] Absolute value of the first flow difference = 20m 3 / h; the absolute value of the second flow difference = 5m 3 / h;

[0145] Total flow difference = 20 + 5 = 25m 3 / h;

[0146] Assume that the initial flow threshold is 300m 3 / h, and there is a rule to adjust the flow threshold according to the total flow difference, such as the total flow difference increases by 10m 3 / h, the flow threshold is reduced by 10m 3 / h.

[0147] According to this rule, since the total flow difference = 25m 3 / h, the new flow threshold can be calculated as 280m 3 / h; here, rounding down is used to avoid non-integer thresholds.

[0148] Since the flow value will gradually decrease if there is leakage during the step-by-step flow of gas, if the change in the total flow difference reflects the change in the leakage situation, the flow threshold can be dynamically adjusted to facilitate timely detection and resolution of problems, which helps reduce pollution to the environment.

[0149] The method also includes:

[0150] Convert the time domain signal of the total pressure difference value within the set time period into the frequency domain signal. First, convert the total pressure difference value (time domain signal) within the set time period into the frequency domain signal through Fourier transform (or other applicable frequency domain transform methods). The purpose of this step is to convert the pressure fluctuation information in the time domain into characteristic information in the frequency domain for easy identification and analysis. Frequency domain analysis can reveal periodic or non-periodic features in the signal that are not easily observed in the time domain, which helps to discover potential abnormalities or fault modes.

[0151] If an abnormal frequency is matched from the frequency domain signal, the amplitudes corresponding to the abnormal frequencies are summed to obtain the abnormal quantity. These abnormal frequencies usually correspond to unwanted vibrations, fluctuations or periodic changes in the system. Then, the amplitudes corresponding to the matched abnormal frequencies are summed to obtain the abnormal quantity. The calculation of the abnormal quantity provides the system with a quantitative indicator for evaluating the severity of the current pressure fluctuation state.

[0152] If the abnormal amount exceeds the first range value, an alarm is issued.

[0153] If the abnormal amount does not exceed the first range value and exceeds the second range value, the increase in the total pressure difference is adjusted according to the size of the abnormal amount; the larger the abnormal amount, the larger the increase in the total pressure difference; the smaller the abnormal amount, the smaller the increase in the total pressure difference. If the abnormal amount does not exceed the first range value but exceeds the second range value (a lower threshold), the increase in the total pressure difference is dynamically adjusted according to the size of the abnormal amount. Specifically, the larger the abnormal amount, the larger the increase in the total pressure difference; the smaller the abnormal amount, the smaller the increase. This adjustment method aims to suppress the development of abnormal fluctuations by fine-tuning system parameters to prevent them from further deterioration.

[0154] For example, suppose that in a pressure pipe system, the total pressure difference data is collected every hour and converted into a frequency domain signal through FFT. In the frequency domain analysis, an abnormal frequency of 5 Hz is found with an amplitude of 10 units, and another abnormal frequency of 10 Hz is found with an amplitude of 5 units.

[0155] Abnormal amount calculation: Abnormal amount = 10 (amplitude of 5 Hz) + 5 (amplitude of 10 Hz) = 15 units.

[0156] Alarm and adjustment:

[0157] Assume that the first range value is 20 units and the second range value is 10 units. Since the abnormal amount is 15 units, which does not exceed the first range value but exceeds the second range value, no alarm is triggered.

[0158] Depending on the size of the abnormal volume, the system may decide to increase the monitoring frequency of the total pressure difference, such as from once an hour to once every half an hour, in order to more closely observe the pressure changes. At the same time, it may also adjust certain parameters of the pipeline system (such as valve opening, pump speed, etc.) to try to reduce pressure fluctuations and thus reduce further increases in abnormal volume.

[0159] Time-frequency analysis technology can capture subtle changes that are difficult to detect with traditional time-domain analysis, improve the system's monitoring accuracy for abnormal conditions, and help discover potential abnormalities or failure modes. It can not only improve the system's monitoring and control capabilities, but also enhance the system's stability and reliability.

[0160] The method also includes:

[0161] Obtaining historical values ​​of the opening size of the electric damper 4 and historical values ​​of the flow rate in the vertical flue 6;

[0162] The first functional relationship is established based on the historical opening size values, the historical flow values ​​in the vertical flue 6, and the historical first flow values. First, the historical electric damper 4 opening size values ​​and the historical flow values ​​in the vertical flue 6 are collected, and at the same time, the historical first flow value, that is, the denitrification device outlet flow value, is combined to establish the first functional relationship between the three using statistical analysis or machine learning methods. This functional relationship describes how the flow in the vertical flue 6 affects the flow at the outlet of the denitrification device at different damper openings. By learning from historical data, the system can predict the theoretical value of the denitrification device outlet flow under given damper openings and vertical flue 6 flow conditions, providing a basis for real-time regulation.

[0163] The flow value in the vertical flue 6 is obtained in real time, and a theoretical first flow value is calculated;

[0164] The ideal difference is calculated based on the first flow value obtained in real time and the theoretical first flow value; the ideal difference reflects the deviation between the actual flow and the predicted flow, and is an important basis for evaluating the system operation status and conducting regulation.

[0165] The average value of the sum of the absolute values ​​of the ideal differences within the first set time period is calculated; this average value reflects the overall level of system flow deviation within the time period.

[0166] When the average value of the sum of the ideal differences exceeds the corresponding average threshold, an alarm is issued; when this average value exceeds the corresponding average threshold, it means that the system flow deviation is large, and there may be blockage, leakage or other abnormal conditions, and the alarm mechanism is triggered.

[0167] When the acceleration of the average value of the sum of the ideal difference values, i.e. its rate of change, exceeds the corresponding acceleration threshold, the duration of the first set time is shortened. When this acceleration exceeds the corresponding acceleration threshold, it means that the flow deviation is changing rapidly and the system may need a faster response. When the acceleration exceeds the threshold, shorten the duration of the first set time, i.e. increase the frequency of monitoring and control. In this way, the changing trend of the flow deviation can be captured more quickly, and corresponding control measures can be taken to maintain the stable operation of the system.

[0168] For example, the real-time flow rate in the vertical flue 6 is 500m³ / h, and the theoretical denitrification device outlet flow rate is calculated to be 450m³ / h using the functional relationship. However, the actual measured denitrification device outlet flow rate is 430m³ / h, so the ideal difference is 20m³ / h.

[0169] In the next hour, the ideal difference is continuously monitored and calculated, and the absolute value is found to be 120m³ / h and the average value is 10m³ / h. If the average threshold is set to 5m³ / h, an alarm will be triggered because the average value exceeds the threshold.

[0170] Furthermore, if it is found that the acceleration of this average value, that is, the rate of change compared to the previous hour, increases sharply and exceeds the set acceleration threshold, the monitoring frequency may be increased from once an hour to once every 10 minutes to observe the system status more closely.

[0171] The ideal difference reflects the deviation between the actual flow and the predicted flow, and is an important basis for evaluating the system operation status and making adjustments. When this average value exceeds the corresponding average threshold, it means that the system flow deviation is large, and there may be blockage, leakage or other abnormal conditions, which triggers the alarm mechanism. Calculate the acceleration of the average value of the ideal difference and the value, that is, its rate of change. When this acceleration exceeds the corresponding acceleration threshold, it means that the flow deviation is changing rapidly and the system may need a faster response.

[0172] The method also includes:

[0173] Acquire a first vibration parameter in the dust removal device 14, and fit a first vibration curve corresponding to the first vibration parameter;

[0174] Converting a signal corresponding to the first vibration parameter in the time domain into a signal corresponding to the first vibration parameter in the frequency domain;

[0175] The first power spectrum density corresponding to the first vibration parameter in the frequency domain is calculated; the power spectrum density (PSD) is a physical quantity that describes the change of signal power with frequency. By calculating the PSD, the energy of each frequency component in the vibration signal can be understood, thereby determining whether the vibration state of the dust removal device 14 is normal.

[0176] If the first power spectrum density exceeds the corresponding power threshold, an alarm is issued.

[0177] Otherwise, the rotation speed of the fan 16 is adjusted according to the first power spectrum density. The larger the first power spectrum density is, the larger the rotation speed of the fan 16 is; the smaller the first power spectrum density is, the smaller the rotation speed of the fan 16 is.

[0178] Assume that the power threshold is set to 100 W / Hz, and the calculated first power spectrum density is 120 W / Hz, which exceeds the threshold. Therefore, the system triggers an alarm to prompt the operator to check whether the dust removal device 14 is faulty or blocked.

[0179] If the first power spectrum density does not exceed the threshold, for example, 80W / Hz, the speed of fan 16 is adjusted according to this value. Assume that a speed adjustment strategy is set: when the power spectrum density is 50-70W / Hz, the speed of fan 16 is 80%; when it is 70-90W / Hz, the speed is 90%; when it is 90-110W / Hz, the speed is 100%. Therefore, in the current situation (80W / Hz), the speed of fan 16 is adjusted to 90% to balance the dust removal effect and energy consumption. Among them, in order to ensure the stable operation of the system, the speed of fan 16 is limited to a numerical range.

[0180] A power threshold is set based on experience or equipment requirements. When the calculated PSD exceeds this threshold, it means that the vibration of the dust removal device 14 is abnormal, and there may be a risk of failure or damage. At this time, the alarm mechanism is triggered to remind the operator to check and maintain. If the PSD is within the normal range, it means that the dust removal device 14 is operating stably. At this time, the speed of the fan 16 can be dynamically adjusted according to the size of the PSD. The larger the PSD, the more air volume the dust removal device 14 may need to maintain stable operation, so the speed of the fan 16 is increased; the smaller the PSD, the fan 16 speed is appropriately reduced to save energy. At the same time, it should be noted that the speed of the fan 16 is limited to a numerical range to avoid damage to the equipment or reduced efficiency due to being too fast or too slow.

[0181] The method also includes:

[0182] Obtaining the rotation speed of the recirculation wind turbine 10;

[0183] A second vibration parameter at the static mixer 11 for promoting gas mixing is obtained, and a second vibration curve corresponding to the second vibration parameter is fitted.

[0184] The signal corresponding to the second vibration parameter in the time domain is converted into a signal of the second vibration parameter in the frequency domain; a second vibration curve can be drawn using mathematical methods (such as polynomial fitting, Fourier transform, etc.). This curve helps to analyze the vibration characteristics of the static mixer 11 more intuitively.

[0185] A second power spectrum density corresponding to the second vibration parameter in the frequency domain is calculated.

[0186] If the second power spectrum density exceeds the corresponding power threshold, an alarm is issued.

[0187] Otherwise, the rotation speed of the recirculation wind turbine 10 is adjusted according to the second power spectrum density. The larger the second power spectrum density, the larger the rotation speed of the recirculation wind turbine 10; the smaller the second power spectrum density, the smaller the rotation speed of the recirculation wind turbine 10.

[0188] Assume that the real-time monitored rotation speed of the recirculation wind turbine 10 is 2000 RPM.

[0189] The second vibration parameter signal in the time domain is converted into a frequency domain signal, and the second power spectrum density is calculated. Assuming that the set power threshold is 120W / Hz, the calculated second power spectrum density is 110W / Hz, which does not exceed the threshold.

[0190] Since the second power spectrum density does not exceed the threshold, the speed of the recirculation wind turbine 10 is adjusted according to its size. Assume that a speed adjustment strategy is set: when the power spectrum density is between 90-110W / Hz, the current speed is maintained; when it is between 110-130W / Hz, the speed is increased by 10%; when it is between 70-90W / Hz, the speed is reduced by 10%. Therefore, in the current case (110W / Hz), the speed of the recirculation wind turbine 10 is kept unchanged at 2000RPM. However, if the second power spectrum density drops below 90W / Hz, the speed is reduced to 1800RPM to save energy. Among them, in order to ensure the stable operation of the system, the speed of the recirculation wind turbine 10 is limited by a numerical range.

[0191] If the second power spectrum density is within the normal range, it means that the static mixer 11 is operating stably. At this time, the rotation speed of the recirculation wind turbine 10 can be dynamically adjusted according to the size of the second power spectrum density. Specifically, the larger the second power spectrum density, the more likely there is a slight blockage of smoke. The static mixer 11 may need more air volume to flush the slightly blocked parts, so that it can maintain stable operation or improve its processing efficiency, thereby increasing the rotation speed of the recirculation wind turbine 10; otherwise, the rotation speed is appropriately reduced to save energy. By real-time monitoring and regulation of the vibration state of the recirculation wind turbine 10 and the static mixer 11, the stability and efficiency of the flue gas treatment system of the pulverized coal furnace 1 can be further improved, and the failure rate and operating costs can be reduced.

[0192] The method also includes:

[0193] The size of a1 is adjusted according to the first flow difference. The larger the first flow difference is, the larger a1 is; the smaller the first flow difference is, the smaller a1 is.

[0194] A certain control parameter a1 is dynamically adjusted according to the size of the first flow difference. When the first flow difference increases, it means that the actual flow deviates from the set flow more. At this time, the value of a1 needs to be increased to strengthen the corresponding control effect, such as increasing the speed of the fan 16 or adjusting the valve opening, etc., to reduce the flow deviation. Conversely, when the first flow difference decreases, the value of a1 is appropriately reduced to maintain the stable operation of the system and avoid excessive control.

[0195] The size of a2 is adjusted according to the second flow difference; the larger the second flow difference is, the larger a2 is; the smaller the second flow difference is, the smaller a2 is.

[0196] Similar to the adjustment of a1, another control parameter a2 is dynamically adjusted according to the size of the second flow difference. By adjusting the value of a2, the flow at different positions of the system can be finely controlled to achieve the effect of overall optimization. When the second flow difference increases, the value of a2 is increased to enhance the control effect; when the second flow difference decreases, the value of a2 is reduced to maintain system stability. Since the sum of a1, a2 and a3 is 1, when adjusting a1 and a2, the value of a3 will also be affected.

[0197] The first flow rate difference is 50 m³ / h, and the second flow rate difference is 30 mg / Nm³. The dust removal device 14 is described assuming that the dust concentration is used instead of the flow rate difference.

[0198] For the first flow difference of 50m³ / h, if it is considered that this difference is too large and exceeds the preset threshold, the value of a1 is increased, for example, a1 is adjusted from the current 0.8 to 0.9 to increase the control strength of the denitrification process or improve the denitrification efficiency.

[0199] For the second flow difference of 30 mg / Nm³, the value of a2 is also increased, for example, a2 is adjusted from 0.7 to 0.8 to enhance the dust removal effect of the dust collector or adjust other related parameters to improve performance.

[0200] By introducing the feedback adjustment mechanism of the flow difference, combined with the aforementioned vibration parameter monitoring, fan 16 and recirculation wind turbine 10 speed adjustment and other means, it is possible to achieve comprehensive monitoring and dynamic optimization of the flue gas treatment system of the pulverized coal furnace 1. This comprehensive control strategy can not only improve the stability and efficiency of the system, but also reduce energy consumption and failure rate, and extend the service life of the equipment.

[0201] The embodiment of the present application also discloses an intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal system, including a processor, in which a program of any one of the above-mentioned intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal methods is run.

[0202] The embodiment of the present application also discloses a storage medium storing a program of any one of the above-mentioned intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal methods.

[0203] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method, based on a denitrification device, a dust removal device (14) and a desulfurization device (15), characterized in that the method include: Obtaining a first pressure value and a first reaction temperature at an outlet of a denitration device; Obtaining a second pressure value at the inlet and a third pressure value at the outlet of the dust removal device (14); Obtaining a fourth pressure value at the inlet and a fifth pressure value at the outlet of the desulfurization device (15), and a second reaction temperature of the desulfurization device (15); Obtain the speed of the fan (16); Calculate the difference between the second pressure value and the first pressure value as a first pressure difference value; Calculate the difference between the fourth pressure value and the third pressure value as a second pressure difference value; Calculate the difference between the fifth pressure value and the fourth pressure value as a third pressure difference value; The total pressure difference is calculated by weighted average method; Total pressure difference=a1×|first pressure difference|+a2×|second pressure difference|+a3×|third pressure difference|, wherein a1, a2 and a3 are weights corresponding to |first pressure difference|, |second pressure difference| and |third pressure difference|, respectively; If the total pressure difference exceeds the corresponding threshold, an alarm is issued; if the total pressure difference does not exceed the corresponding threshold, the increase or decrease of the first reaction temperature of the denitration device, the second reaction temperature of the desulfurization device (15) and the rotation speed of the fan (16) are adjusted according to the total pressure difference; the greater the total pressure difference, the greater the increase of the first temperature, the greater the increase of the second temperature, and the greater the decrease of the rotation speed; the smaller the total pressure difference, the smaller the increase of the first temperature, the smaller the increase of the second temperature, and the smaller the decrease of the rotation speed; wherein the increase is the growth amplitude relative to the corresponding initial preset value; The method also includes: Convert the time domain signal quantity of the total pressure difference value within the set time period into the frequency domain signal quantity; If the abnormal frequency is matched from the frequency domain signal quantity, the amplitude corresponding to the abnormal frequency is summed to obtain the abnormal quantity; If the abnormal amount exceeds the first range value, an alarm is issued; If the abnormal amount does not exceed the first range value and exceeds the second range value, the increase in the total pressure difference is adjusted according to the size of the abnormal amount; the larger the abnormal amount, the larger the increase in the total pressure difference; the smaller the abnormal amount, the smaller the increase in the total pressure difference.

2. The intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method according to claim 1 is characterized in that: The method also includes: Obtaining a first flow value at an outlet of a denitration device; Obtaining a second flow value at an outlet of the dust removal device (14); Obtaining a third flow value at the outlet of the desulfurization device (15); According to the first flow value, the second flow value and the third flow value, the total flow value is calculated by weighted average; the total flow value = b1 × first flow value + b2 × second flow value + b3 × third flow value, where b1, b2 and b3 are the weights corresponding to the first flow value, the second flow value and the third flow value respectively; If the total flow value exceeds the corresponding flow threshold, an alarm will be issued; if the total flow value does not exceed the corresponding threshold, the monitoring frequency will be adjusted according to the change speed of the total flow value. The faster the change speed, the higher the monitoring frequency; the slower the change speed, the lower the monitoring frequency.

3. The intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method according to claim 2 is characterized in that: The method also includes: Calculate the difference between the second flow value and the first flow value as the absolute value of the first flow difference; Calculate the difference between the third flow value and the second flow value as the absolute value of the second flow difference; According to the absolute value of the first flow difference and the absolute value of the second flow difference, a total flow difference is calculated, where the total flow difference=the absolute value of the first flow difference+the absolute value of the second flow difference; The size of the flow threshold is adjusted according to the total flow difference. The larger the total flow difference is, the smaller the flow threshold is; the smaller the total flow difference is, the larger the flow threshold is.

4. The intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method according to claim 1 is characterized in that: The method also includes: Obtaining historical values ​​of the opening size of the electric damper (4) and historical values ​​of the flow rate in the vertical flue (6); A first functional relationship is established according to the historical opening size value, the historical flow value in the vertical flue (6) and the historical first flow value; The flow value in the vertical flue (6) is obtained in real time, and a theoretical first flow value is calculated; Calculating an ideal difference value based on the first flow value obtained in real time and the theoretical first flow value; Calculate the average of the absolute values ​​and the average values ​​of the ideal difference values ​​within the first set time period; When the average value of the sum of the ideal difference values ​​exceeds the corresponding average threshold, an alarm is issued; When the acceleration of the average value of the sum of the ideal difference values ​​exceeds the corresponding acceleration threshold, the duration of the first set time is shortened.

5. The intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method according to claim 3 is characterized in that: The method also includes: Acquiring a first vibration parameter in the dust removal device (14), and fitting a first vibration curve corresponding to the first vibration parameter; Converting a signal corresponding to the first vibration parameter in the time domain into a signal corresponding to the first vibration parameter in the frequency domain; Calculating a first power spectrum density corresponding to a first vibration parameter in the frequency domain; If the first power spectrum density exceeds the corresponding power threshold, an alarm is issued; Otherwise, the rotation speed of the fan (16) is adjusted according to the first power spectrum density, wherein the greater the first power spectrum density, the greater the rotation speed of the fan (16); and the smaller the first power spectrum density, the smaller the rotation speed of the fan (16).

6. The intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method according to claim 5 is characterized in that: The method also includes: Obtaining the rotation speed of the recirculation wind turbine (10); Obtaining a second vibration parameter at the static mixer (11), and fitting a second vibration curve corresponding to the second vibration parameter; Converting a signal corresponding to the second vibration parameter in the time domain into a signal corresponding to the second vibration parameter in the frequency domain; Calculating a second power spectrum density corresponding to a second vibration parameter in the frequency domain; If the second power spectrum density exceeds the corresponding power threshold, an alarm is issued; Otherwise, the rotation speed of the recirculation wind turbine (10) is adjusted according to the second power spectrum density, the larger the second power spectrum density is, the larger the rotation speed of the recirculation wind turbine (10) is; the smaller the second power spectrum density is, the smaller the rotation speed of the recirculation wind turbine (10) is.

7. The intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method according to claim 3 is characterized in that: The method also includes: The value of a1 is adjusted according to the first flow difference. The larger the first flow difference, the larger a1 is; the smaller the first flow difference, the smaller a1 is; The size of a2 is adjusted according to the second flow difference; the larger the second flow difference is, the larger a2 is; the smaller the second flow difference is, the smaller a2 is.

8. An intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal system, characterized in that: It comprises a processor, in which runs a program of the intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method as described in any one of claims 1 to 7.

9. A storage medium, characterized in that: A program for the intelligent control type pulverized coal furnace flue gas desulfurization, denitrification and dust removal method as described in any one of claims 1 to 7 is stored.

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