A multi-pollutant collaborative treatment monitoring system for desulfurization equipment

Abstract

The present invention belongs to the field of testing technology, and specifically relates to a multi-pollutant collaborative processing monitoring system for desulfurization equipment. The present invention includes a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, a pretreatment analysis module, and a control optimization module. The desulfurization effect monitoring module synchronously collects data on the sulfur, nitrogen oxide content and dust concentration in the exhaust gas, and evaluates the treatment effect through a comprehensive deviation value. The equipment operation feedback module calculates the comprehensive processing capacity value of the equipment in combination with the air compressor and slurry pump operation data. The matching judgment module evaluates the matching degree between the processing capacity and the multi-pollutant load and generates a control signal. The pretreatment analysis module evaluates the pretreatment effect and generates an optimization instruction. The control optimization module generates an optimal control parameter set based on a multi-objective optimization algorithm. The processor dynamically adjusts the weight threshold and performs fault diagnosis, thereby realizing a comprehensive evaluation and collaborative control of the sulfur, nitrogen oxide and dust treatment effects.

Description

Technical Field

[0001] The invention belongs to the field of testing technology, and in particular relates to a multi-pollutant coordinated processing monitoring system for desulfurization equipment. Background Art

[0002] Sulfur pollution is a prominent issue in environmental governance, among which sulfur-containing waste gas emissions pose a serious threat to the atmospheric environment. As an important link in energy production, thermal power plants need to burn a large amount of coal fuel during operation. The sulfur component commonly found in coal will be converted into sulfur dioxide gas when burned at high temperatures. This highly corrosive gas will not only form acid rain that harms the ecosystem, but is also an important inducement for the formation of haze. Therefore, the widespread use of desulfurization equipment in the power industry has become a necessary measure. Various technical means such as wet desulfurization and semi-dry desulfurization can effectively remove sulfides from flue gas, thereby significantly reducing the negative impact of industrial production on the atmospheric environment.

[0003] A patent application with publication number CN115738622B discloses an exhaust emission detection system for a desulfurization equipment, including a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module and an equipment control module. The processor is communicatively connected to the desulfurization effect monitoring module, the equipment operation feedback module, the matching judgment module and the equipment control module, and the processor is communicatively connected to the terminal device of the corresponding equipment supervisor. The desulfurization effect monitoring module of the patent performs exhaust gas monitoring and analysis and generates a desulfurization qualified signal or a desulfurization unqualified signal to realize the monitoring of the flue gas desulfurization effect of the desulfurization equipment. When the desulfurization effect is unqualified, the equipment operation analysis is performed through the equipment operation feedback module. When the equipment operation is qualified, the matching judgment analysis is performed through the matching judgment module to realize the investigation and determination of the cause of the unqualified flue gas desulfurization, which facilitates automatic control or manual control by supervisors to improve the desulfurization effect of the desulfurization equipment.

[0004] There are still some problems in the actual application of the above scheme. The patent fails to consider the coordinated treatment of multiple pollutants and only focuses on sulfur content detection. Although the pretreatment analysis module involves nitrate, soot, and flue gas temperature, the judgment logic is independent and does not integrate multiple pollutants, such as nitrogen oxides and dust. The comprehensive treatment effect evaluation is inconsistent with the actual desulfurization equipment's need to coordinate the treatment of multiple pollutants.

[0005] Therefore, it is necessary to develop a system that can collaboratively monitor and optimize the treatment effects of desulfurization equipment on sulfur, nitrogen oxides and dust. Summary of the Invention

[0006] The present invention proposes a multi-pollutant coordinated treatment monitoring system for desulfurization equipment, which can simultaneously monitor the treatment effects of sulfur, nitrogen oxides and dust, and realize coordinated regulation of equipment based on the coupling relationship of multiple pollutants.

[0007] The technical solution of the present invention is as follows: a multi-pollutant collaborative treatment monitoring system for a desulfurization device, comprising a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, a pretreatment analysis module, and a control optimization module, wherein the processor is communicatively connected to the desulfurization effect monitoring module, the equipment operation feedback module, the matching judgment module, the pretreatment analysis module, and the control optimization module;

[0008] The desulfurization effect monitoring module is configured to simultaneously obtain the sulfur content, nitrogen oxide content and dust concentration data in the exhaust gas, and generate a qualified or unqualified treatment signal based on the comprehensive emission standard of multiple pollutants. The equipment operation feedback module is configured to calculate the equipment's comprehensive treatment capacity value for sulfur, nitrogen oxides and dust based on the operating data of the air compressor and the centrifugal circulating slurry pump. The matching judgment module is configured to evaluate the matching degree between the desulfurization equipment's treatment capacity and the multiple pollutant load, and generate a corresponding control signal.

[0009] Furthermore, the desulfurization effect monitoring module includes a multi-pollutant data acquisition unit for synchronously acquiring a sulfur content value WS, a nitrogen oxide content value WN, and a dust concentration value WD in the exhaust gas. The desulfurization effect monitoring module also includes a comprehensive evaluation unit for configuring and calculating a multi-pollutant comprehensive deviation value SPM. The calculation formula is SPM = α (WS / WS threshold) + β (WN / WN threshold) + γ (WD / WD threshold), where α, β, and γ are preset weight coefficients, and α + β + γ = 1. The desulfurization effect monitoring module also includes a judgment unit for configuring a desulfurization and multi-pollutant treatment qualified signal to be generated when SPM is less than a preset comprehensive threshold, and otherwise a treatment unqualified signal to be generated.

[0010] Through this formula, the ratio of the actual content of the three pollutants to the corresponding thresholds is weighted and summed to comprehensively reflect the overall treatment effect of multiple pollutants. The judgment unit generates a signal based on the comparison result of the comprehensive deviation value SPM and the preset comprehensive threshold. When SPM is less than the preset comprehensive threshold, a desulfurization and multi-pollutant treatment qualified signal is generated; otherwise, a treatment unqualified signal is generated, thereby making a clear judgment on the multi-pollutant treatment effect of the desulfurization equipment.

[0011] Furthermore, the equipment operation feedback module includes a multi-pollutant processing capacity calculation unit, which is used to calculate the air compressor's sulfur processing capacity value KXS and nitrogen oxide processing capacity value KXN based on the air feed rate value KS and the air oxygen content value KY, and is also used to calculate the slurry pump's sulfur processing capacity value BXS and dust processing capacity value BXD based on the slurry delivery rate value JS and the slurry concentration value JN. The equipment operation feedback module also includes a comprehensive processing capacity evaluation unit, which is used to calculate the equipment's comprehensive processing capacity value CXZ for multiple pollutants, and the calculation formula is CXZ = δ·[(KXS + BXS) / 2] + ε·KXN +ζ·BXD, where δ, ε, and ζ are preset weight coefficients;

[0012] Through the multi-pollutant processing capacity calculation unit, the air compressor's processing capacity for sulfur and nitrogen oxides is calculated based on the air inlet speed value KS and the air oxygen content value KY. The slurry pump's processing capacity for sulfur and dust is calculated based on the slurry delivery speed value JS and the slurry concentration value JN. Then, the comprehensive processing capacity evaluation unit is used to calculate the equipment's comprehensive processing capacity value CXZ in combination with the preset weight coefficient to quantify the equipment's processing capacity for multiple pollutants.

[0013] Furthermore, the matching judgment module includes a multi-pollutant load analysis unit, which is used to calculate the multi-pollutant load value FH based on the smoke sulfur value YL, the smoke pressure value YY, the smoke speed value YS, the nitrogen oxide concentration YN in the flue gas, and the dust concentration YD. The matching judgment module also includes a matching degree evaluation unit, which is used to calculate the matching ratio PFZM between the processing capacity and the load, and the calculation formula is PFZM = CXZ / FH. The matching judgment module also includes a control signal generation unit, which is used to generate a coordinated control signal for sulfur, nitrogen oxides and dust when PFZM is less than a preset matching threshold.

[0014] Furthermore, the pretreatment analysis module is used to obtain the nitrate performance value HX, smoke temperature performance value YW, ash performance value YH and dust particle size distribution data DP after flue gas pretreatment, and is also used to calculate the pretreatment comprehensive score YCH based on the multi-pollutant pretreatment effect evaluation model. When YCH is lower than the preset pretreatment threshold, a pretreatment optimization instruction is generated, which includes coordinated control parameters for denitrification, dust removal and temperature regulation equipment.

[0015] Furthermore, the control optimization module is used to receive output signals from the desulfurization effect monitoring module, the equipment operation feedback module, and the matching judgment module, and is also used to generate an optimal control parameter set that simultaneously meets the sulfur, nitrogen oxide, and dust emission standards based on a multi-objective optimization algorithm. The parameter set includes an air feed speed adjustment amount ΔKS, a slurry concentration adjustment amount ΔJN, and a denitrification agent injection amount ΔNJ, and sends the optimal control parameter set to the desulfurization equipment;

[0016] Based on a multi-objective optimization algorithm with the objective function of minimizing the emission concentration of multiple pollutants, energy consumption and equipment loss, and combining the equipment operating parameter limits and environmental emission standard limits as constraints, the optimal control parameter set is generated and sent to the desulfurization equipment to achieve coordinated optimization and control of multiple pollutant treatment.

[0017] Furthermore, the processor is used to dynamically adjust the preset weight coefficient and threshold based on historical operating data and equipment aging model, and is also used to execute a fault diagnosis process to identify the main equipment and parameters that cause the abnormality when abnormal emissions of multiple pollutants are monitored.

[0018] Optionally, a multi-pollutant coordinated treatment monitoring system for desulfurization equipment also includes a data visualization module for real-time display of emission concentration trend charts of sulfur, nitrogen oxides and dust, radar charts of the equipment's treatment efficiency for each pollutant, and a cost-benefit analysis table for the coordinated treatment of multiple pollutants.

[0019] The beneficial effects of the present invention are:

[0020] By constructing a multi-pollutant coordinated treatment monitoring system, the system breaks through the limitations of traditional desulfurization equipment, which focuses solely on sulfur content monitoring, and achieves comprehensive evaluation and coordinated control of sulfur, nitrogen oxide, and dust treatment effects. Through multi-pollutant data collection and integrated deviation calculation, the system comprehensively reflects the overall treatment effect of multiple pollutants in exhaust gas, avoiding the bias of independent judgment. The equipment operation feedback module and matching judgment module combine the operating parameters of equipment such as air compressors and slurry pumps with multi-pollutant loads to quantify equipment treatment capacity and evaluate its matching with actual load, providing data support for precise control. The pretreatment analysis module evaluates and coordinates multi-parameters in the flue gas pretreatment process, improving front-end processing efficiency and creating stable conditions for subsequent main processes. The control optimization module generates optimal control parameters based on a multi-objective optimization algorithm, achieving global coordinated optimization while meeting multi-pollutant emission standards while taking into account energy consumption and equipment losses. The processor dynamically adjusts weight thresholds and fault diagnosis functions to adapt the system to equipment aging and changing operating conditions, enhancing long-term operational reliability. The data visualization module provides real-time dynamic support for supervision and decision-making through intuitive graphical presentations. Overall, the system effectively solves the problems of isolated multi-pollutant treatment evaluation and uncoordinated regulation in existing technologies, significantly improving the comprehensive treatment efficiency of desulfurization equipment for sulfur, nitrogen oxides and dust. It is environmentally friendly, economical and adaptable, meeting the actual needs of coordinated governance of multiple pollutants in industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] Figure 1 A system block diagram of the present invention as a whole;

[0023] Figure 2 This is a system block diagram of the desulfurization effect monitoring module of the present invention;

[0024] Figure 3 A system block diagram of the feedback module for the device of the present invention;

[0025] Figure 4 This is a system block diagram of the matching judgment module of the present invention.

[0026] In the figure: 1. Processor;

[0027] 2. Desulfurization effect monitoring module; 20. Multi-pollutant data acquisition unit; 21. Comprehensive evaluation unit; 22. Judgment unit;

[0028] 3. Equipment operation feedback module; 30. Multi-pollutant treatment capacity calculation unit; 31. Comprehensive treatment capacity evaluation unit;

[0029] 4. Matching judgment module; 40. Multi-pollutant load analysis unit; 41. Matching degree evaluation unit; 42. Control signal generation unit;

[0030] 5. Preprocessing and analysis module; 6. Control and optimization module. DETAILED DESCRIPTION

[0031] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0032] Example 1

[0033] like Figure 1-4 As shown, this embodiment proposes a multi-pollutant collaborative treatment monitoring system for desulfurization equipment, including a processor 1, a desulfurization effect monitoring module 2, an equipment operation feedback module 3, a matching judgment module 4, a pretreatment analysis module 5, and a control optimization module 6. The processor 1 is communicatively connected with the desulfurization effect monitoring module 2, the equipment operation feedback module 3, the matching judgment module 4, the pretreatment analysis module 5, and the control optimization module 6;

[0034] The desulfurization effect monitoring module 2 is configured to simultaneously obtain the sulfur content, nitrogen oxide content and dust concentration data in the exhaust gas, and generate a qualified or unqualified treatment signal based on the comprehensive emission standard of multiple pollutants. The equipment operation feedback module 3 is configured to calculate the equipment's comprehensive treatment capacity value for sulfur, nitrogen oxides and dust based on the operating data of the air compressor and the centrifugal circulating slurry pump. The matching judgment module 4 is configured to evaluate the matching degree between the desulfurization equipment's treatment capacity and the multiple pollutant load, and generate corresponding control signals.

[0035] The desulfurization effect monitoring module 2 includes a multi-pollutant data acquisition unit 20 for synchronously acquiring the sulfur content value WS, the nitrogen oxide content value WN, and the dust concentration value WD in the exhaust gas. The desulfurization effect monitoring module 2 also includes a comprehensive evaluation unit 21 for configuring and calculating the multi-pollutant comprehensive deviation value SPM. The calculation formula is SPM = α (WS / WS threshold) + β (WN / WN threshold) + γ (WD / WD threshold), where α, β, and γ are preset weight coefficients, and α + β + γ = 1. The desulfurization effect monitoring module 2 also includes a judgment unit 22 for configuring to generate a desulfurization and multi-pollutant treatment qualified signal when SPM is less than a preset comprehensive threshold, and otherwise generate a treatment unqualified signal.

[0036] Through this formula, the ratio of the actual content of the three pollutants to the corresponding thresholds is weighted and summed to comprehensively reflect the overall treatment effect of multiple pollutants. The judgment unit 22 generates a signal based on the comparison result of the comprehensive deviation value SPM and the preset comprehensive threshold. When SPM is less than the preset comprehensive threshold, a desulfurization and multi-pollutant treatment qualified signal is generated, otherwise a treatment unqualified signal is generated, thereby making a clear judgment on the multi-pollutant treatment effect of the desulfurization equipment.

[0037] The equipment operation feedback module 3 includes a multi-pollutant processing capacity calculation unit 30, which is used to calculate the air compressor's sulfur processing capacity value KXS and nitrogen oxide processing capacity value KXN based on the air feed rate value KS and the air oxygen content value KY, and is also used to calculate the slurry pump's sulfur processing capacity value BXS and dust processing capacity value BXD based on the slurry delivery rate value JS and the slurry concentration value JN. The equipment operation feedback module 3 also includes a comprehensive processing capacity evaluation unit 31, which is used to calculate the equipment's comprehensive processing capacity value CXZ for multiple pollutants. The calculation formula is CXZ = δ•[(KXS + BXS) / 2] + ε•KXN +ζ•BXD, where δ, ε, and ζ are preset weight coefficients;

[0038] Through the multi-pollutant processing capacity calculation unit 30, the air compressor's processing capacity for sulfur and nitrogen oxides is calculated based on the air inlet speed value KS and the air oxygen content value KY, and the slurry pump's processing capacity for sulfur and dust is calculated based on the slurry delivery rate value JS and the slurry concentration value JN. Then, the comprehensive processing capacity evaluation unit 31 is used to calculate the equipment's comprehensive processing capacity value CXZ in combination with the preset weight coefficient to quantify the equipment's processing capacity for multiple pollutants.

[0039] The matching judgment module 4 includes a multi-pollutant load analysis unit 40, which is used to calculate the multi-pollutant load value FH based on the smoke sulfur value YL, the smoke pressure value YY, the smoke speed value YS, the nitrogen oxide concentration YN and the dust concentration YD in the flue gas. The matching judgment module 4 also includes a matching degree evaluation unit 41, which is used to calculate the matching ratio PFZM between the processing capacity and the load, and the calculation formula is PFZM = CXZ / FH. The matching judgment module 4 also includes a control signal generation unit 42, which is used to generate a coordinated control signal for sulfur, nitrogen oxides and dust when PFZM is less than a preset matching threshold.

[0040] The pretreatment analysis module 5 is used to obtain the nitrate performance value HX, the smoke temperature performance value YW, the ash performance value YH and the dust particle size distribution data DP after flue gas pretreatment. It is also used to calculate the pretreatment comprehensive score YCH based on the multi-pollutant pretreatment effect evaluation model. When YCH is lower than the preset pretreatment threshold, a pretreatment optimization instruction is generated, which includes the coordinated control parameters of the denitrification, dust removal and temperature regulation equipment.

[0041] The control optimization module 6 is used to receive the output signals of the desulfurization effect monitoring module 2, the equipment operation feedback module 3 and the matching judgment module 4. It is also used to generate an optimal control parameter set that meets the sulfur, nitrogen oxide and dust emission standards based on a multi-objective optimization algorithm. The parameter set includes the air feed speed adjustment amount ΔKS, the slurry concentration adjustment amount ΔJN and the denitrification agent injection amount ΔNJ, and sends the optimal control parameter set to the desulfurization equipment;

[0042] Based on a multi-objective optimization algorithm with the objective function of minimizing the emission concentration of multiple pollutants, energy consumption and equipment loss, and combining the equipment operating parameter limits and environmental emission standard limits as constraints, the optimal control parameter set is generated and sent to the desulfurization equipment to achieve coordinated optimization and control of multiple pollutant treatment.

[0043] Processor 1 is used to dynamically adjust preset weight coefficients and thresholds based on historical operating data and equipment aging models. It is also used to execute a fault diagnosis process and identify the main equipment and parameters that cause the abnormality when abnormal emissions of multiple pollutants are monitored.

[0044] Optionally, a multi-pollutant coordinated treatment monitoring system for desulfurization equipment also includes a data visualization module for real-time display of emission concentration trend charts of sulfur, nitrogen oxides and dust, radar charts of the equipment's treatment efficiency for each pollutant, and a cost-benefit analysis table for the coordinated treatment of multiple pollutants.

[0045] It should be added that in order to refine the dynamic adjustment mechanism of weight coefficients and thresholds, the adaptive algorithm of weight coefficients α, β, and γ presets the initial weights α=0.5, β=0.3, and γ=0.2;

[0046] Processor 1 dynamically adjusts based on historical emission data and environmental protection policies. When a regional haze warning is issued, the dust weight γ is automatically increased to 0.4. When nitrogen oxides exceed the standard frequently, the β weight self-learning algorithm is triggered (based on the BP neural network fitting the correlation between the number of violations and β);

[0047] Taking into account seasonal changes (the sulfur content threshold is lowered by 10% during the winter heating period), equipment aging (the threshold is relaxed by 5% after 5 years of operation) and revisions to local emission standards, the threshold library is updated in real time through the equipment aging model (performance degradation curve based on Lagrange interpolation method).

[0048] It should also be added that in order to strengthen the algorithm of the control optimization module 6, the specific parameters of the multi-objective optimization algorithm are as follows: the objective function is min(w1・SPM+w2・(KS²+JS²)+w3・(JN²+(ΔNJ)²)), where C emissions = w1・SPM, C energy consumption = w2・(KS²+JS²), and C losses = w3・(JN²+(ΔNJ)²);

[0049] Among them, the constraints are divided into two cases: one is the equipment limit: KSmin≤KS+ΔKS≤KSmax, JNmin≤JN+ΔJN≤JNmax; the other is the environmental protection standard: WS≤WS threshold, WN≤WN threshold, WD≤WD threshold;

[0050] The priority strategy for adjusting parameters is to prioritize adjusting the denitrification agent injection volume ΔNJ (response time < 10 seconds) when SPM > 1.5 times the preset comprehensive threshold.

[0051] When PFZM is less than 0.8 and the energy consumption exceeds the standard, the variable frequency coordinated control of the air compressor and the slurry pump is triggered (the frequency adjustment step is ≤5Hz).

[0052] The working principle of the present invention is as follows: when in use, the sensor continuously collects the sulfur content, nitrogen oxide content, dust concentration in the exhaust gas, as well as the air compressor feed speed and air oxygen content, the centrifugal circulating slurry pump delivery speed and concentration and other operating data, and at the same time obtains the parameters such as the nitrate content, smoke temperature, ash content and dust particle size distribution after flue gas pretreatment. All data are transmitted to the processor 1 in real time. The processor 1 first inputs the exhaust gas pollutant data into the desulfurization effect monitoring module 2, and the multi-pollutant data acquisition unit 20 synchronously obtains the real-time concentration values ​​of sulfur, nitrogen oxides and dust, and the comprehensive evaluation unit 20 obtains the real-time concentration values ​​of sulfur, nitrogen oxides and dust. Element 21 calculates the multi-pollutant comprehensive deviation value SPM through a preset weighted formula. This formula sums the ratios of the actual content of the three pollutants to the corresponding thresholds according to the weights. The initial values ​​of the weight coefficients α, β, and γ are 0.5, 0.3, and 0.2, respectively. They can be dynamically adjusted based on historical emission data and environmental protection policies (for example, the dust weight is automatically increased to 0.4 during a haze warning). The judgment unit 22 compares the SPM with the preset comprehensive threshold. If it is less than the threshold, a qualified signal is generated; otherwise, a failed signal is generated to determine whether the overall multi-pollutant treatment effect meets the standards.

[0053] The equipment operation feedback module 3 calculates the equipment processing capacity based on the operating data of the air compressor and the slurry pump: the air intake speed and air oxygen content of the air compressor are used to calculate the processing capacity values ​​for sulfur and nitrogen oxides, and the slurry delivery speed and concentration of the slurry pump are used to calculate the processing capacity values ​​for sulfur and dust. The comprehensive processing capacity evaluation unit 31 integrates these capacity values ​​through another set of weighted formulas to obtain the equipment's comprehensive processing capacity value CXZ for multiple pollutants. The weight coefficients δ, ε, and ζ can also be dynamically adjusted to reflect the synergistic effect of different equipment. The matching judgment module 4 simultaneously analyzes the flue gas load and calculates the multi-pollutant load value FH based on the flue gas sulfur content, flue gas pressure, flue gas velocity, nitrogen oxides, and dust concentrations. The matching degree is then evaluated by the ratio of processing capacity to load PFZM. If PFZM is less than the preset threshold, it means that the equipment processing capacity is insufficient, and a coordinated control signal for sulfur, nitrogen oxides, and dust is generated to trigger the control optimization process.

[0054] The pretreatment analysis module 5 evaluates various parameters after flue gas pretreatment, and calculates a comprehensive score YCH based on the multi-pollutant pretreatment effect model. If the score is lower than the preset threshold, it indicates that there are deficiencies in the denitrification, dust removal or temperature regulation links, and generates optimization instructions containing collaborative control parameters to adjust the operating status of the front-end equipment to improve the pretreatment efficiency and create stable conditions for the subsequent main treatment process. After receiving signals from multiple modules, the control optimization module 6 starts a multi-objective optimization algorithm with the goal of minimizing the emission concentration of multiple pollutants, energy consumption and equipment loss. Combined with the equipment operating parameter limit and the environmental protection emission standard limit as constraints, it generates the optimal control parameter set (such as air speed adjustment, slurry concentration adjustment, denitrification agent injection amount). When the SPM exceeds the standard seriously, the denitrification agent injection amount is adjusted quickly. If the matching degree is insufficient and the energy consumption exceeds the standard, the variable frequency collaborative control of the air compressor and the slurry pump is triggered to ensure that the adjustment strategy takes into account both treatment effect and energy efficiency.

[0055] Processor 1 continuously plays a core control role throughout the entire process, dynamically updating the preset weight coefficients and thresholds for each module based on historical operating data and equipment aging models. For example, thresholds can be relaxed based on the equipment's age using performance degradation curves fitted using the Lagrange interpolation method, or pollutant emission standards can be adjusted based on seasonal changes. Once an abnormal multi-pollutant emission pattern is detected, a fault diagnosis process is immediately executed. Correlation analysis is used to identify the primary equipment causing the abnormality (such as decreased air compressor efficiency or slurry pump blockage) and key parameters (such as feed rate fluctuations and concentration deviations), providing precise maintenance guidance. The data visualization module graphically presents real-time information such as sulfur, nitrogen oxide, and dust emission concentration trends, the equipment's treatment efficiency for each pollutant, and the cost-effectiveness of multi-pollutant coordinated treatment. Supervisors can use the dynamic interface to monitor the system's operating status in real time and, when necessary, manually adjust control parameters or set temporary weight priorities, achieving efficient decision-making through human-machine collaboration. The entire system, through a closed-loop process of "data collection - comprehensive evaluation - matching judgment - coordinated control - dynamic optimization," continuously improves the desulfurization equipment's coordinated treatment efficiency for multiple pollutants, achieving both economic efficiency and equipment reliability while meeting environmental standards.

[0056] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-pollutant collaborative treatment monitoring system for desulfurization equipment, comprising a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, a pretreatment analysis module, and a control optimization module, characterized in that: The processor is in communication with the desulfurization effect monitoring module, the equipment operation feedback module, the matching judgment module, the pretreatment analysis module, and the control optimization module; The desulfurization effect monitoring module is configured to simultaneously obtain sulfur content, nitrogen oxide content and dust concentration data in the exhaust gas, and generate a qualified or unqualified treatment signal based on the comprehensive multi-pollutant emission standard. The matching judgment module is configured to evaluate the matching degree between the desulfurization equipment treatment capacity and the multi-pollutant load and generate a corresponding control signal; The equipment operation feedback module includes a multi-pollutant processing capacity calculation unit, which is used to calculate the air compressor's sulfur processing capacity value KXS and nitrogen oxide processing capacity value KXN based on the air feed rate value KS and the air oxygen content value KY, and is also used to calculate the slurry pump's sulfur processing capacity value BXS and dust processing capacity value BXD based on the slurry delivery rate value JS and the slurry concentration value JN; The equipment operation feedback module also includes a comprehensive processing capacity evaluation unit for calculating the equipment's comprehensive processing capacity value CXZ for multiple pollutants. The calculation formula is CXZ = δ·[(KXS + BXS) / 2] + ε·KXN +ζ·BXD, where δ, ε, and ζ are preset weight coefficients; The matching judgment module generates a control signal based on the real-time ratio PFZM=CXZ / FH of the multi-pollutant load value FH and the comprehensive treatment capacity value CXZ, where FH also includes the load parameters of sulfur, nitrogen oxides and dust; The equipment operation feedback module is related to the air compressor's processing capacity for sulfur and nitrogen oxides and the slurry pump's processing capacity for sulfur and dust.

2. The multi-pollutant coordinated processing monitoring system for desulfurization equipment according to claim 1 is characterized in that: The desulfurization effect monitoring module includes a multi-pollutant data acquisition unit for synchronously acquiring the sulfur content value WS, nitrogen oxide content value WN and dust concentration value WD in the exhaust gas; The desulfurization effect monitoring module also includes a comprehensive evaluation unit for configuring and calculating a multi-pollutant comprehensive deviation value SPM, the calculation formula of which is SPM=α・(WS / WS threshold)+β・(WN / WN threshold)+γ・(WD / WD threshold), where α, β, and γ are preset weight coefficients, and α+β+γ=1; The desulfurization effect monitoring module further includes a judgment unit configured to generate a desulfurization and multi-pollutant treatment qualified signal when the SPM is less than a preset comprehensive threshold, and otherwise generate a treatment unqualified signal.

3. The multi-pollutant coordinated processing monitoring system for desulfurization equipment according to claim 2 is characterized in that: The matching judgment module includes a multi-pollutant load analysis unit for calculating a multi-pollutant load value FH based on the smoke sulfur value YL, the smoke pressure value YY, the smoke speed value YS, the nitrogen oxide concentration YN and the dust concentration YD in the flue gas; The matching judgment module further includes a matching degree evaluation unit for calculating a matching ratio PFZM between processing capacity and load, the calculation formula being PFZM = CXZ / FH; The matching judgment module also includes a control signal generating unit, which is used to generate a coordinated control signal for sulfur, nitrogen oxides and dust when the PFZM is less than a preset matching threshold.

4. The multi-pollutant coordinated processing monitoring system for desulfurization equipment according to claim 3 is characterized in that: The pre-processing analysis module is used to obtain the flue gas nitrate performance value HX, the flue gas temperature performance value YW, the soot performance value YH and the dust particle size distribution data DP after pre-processing; It is also used to calculate the pretreatment comprehensive score YCH based on the multi-pollutant pretreatment effect evaluation model. When YCH is lower than the preset pretreatment threshold, a pretreatment optimization instruction is generated, which includes coordinated control parameters for denitrification, dust removal and temperature regulation equipment.

5. The multi-pollutant coordinated processing monitoring system for desulfurization equipment according to claim 4 is characterized in that: The control and optimization module is used to receive output signals from the desulfurization effect monitoring module, the equipment operation feedback module and the matching judgment module; It is also used to generate an optimal control parameter set that meets the sulfur, nitrogen oxide and dust emission standards based on a multi-objective optimization algorithm. The parameter set includes the air inlet speed adjustment amount ΔKS, the slurry concentration adjustment amount ΔJN and the denitrification agent injection amount ΔNJ, and sends the optimal control parameter set to the desulfurization equipment.

6. The multi-pollutant coordinated processing monitoring system for desulfurization equipment according to claim 5 is characterized in that: The multi-objective optimization algorithm takes minimizing the emission concentration of multiple pollutants, minimizing energy consumption and equipment loss as the objective function, and the constraints include the equipment operating parameter limit values ​​and the environmental protection emission standard limit values.

7. The multi-pollutant coordinated processing monitoring system for desulfurization equipment according to claim 6 is characterized in that: The processor is used to dynamically adjust the preset weight coefficient and threshold based on historical operation data and equipment aging model; It is also used to execute the fault diagnosis process when abnormal emissions of multiple pollutants are monitored to identify the main equipment and parameters that cause the abnormality.

Images