Multi-pollutant co-processing monitoring system of desulfurization equipment

Abstract

The invention belongs to the technical field of testing, and particularly relates to a multi-pollutant co-processing monitoring system of desulfurization equipment. The system comprises a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, a preprocessing analysis module and a regulation and control optimization module. The desulfurization effect monitoring module synchronously collects sulfur and nitrogen oxide content and dust concentration data in tail gas, the treatment effect is evaluated through a comprehensive deviation value, and the equipment operation feedback module calculates the equipment comprehensive treatment capacity value in combination with operation data of an air compressor and a slurry pump. The matching judgment module evaluates the matching degree of the processing capacity and the multi-pollutant load and generates a regulation and control signal, the preprocessing analysis module evaluates the preprocessing effect and generates an optimization instruction, the regulation and control optimization module generates an optimal regulation and control parameter set based on a multi-target optimization algorithm, and the processor dynamically adjusts a weight threshold and executes fault diagnosis. And comprehensive evaluation and cooperative regulation and control of the sulfur, nitrogen oxide and dust treatment effect are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of testing, and particularly relates to a multi-pollutant collaborative treatment monitoring system for desulfurization equipment. Background Art

[0002] Sulfur pollution is a prominent problem in environmental governance. The emission of sulfur-containing waste gas poses 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 present in coal will be converted into sulfur dioxide gas during high-temperature combustion. This strongly corrosive gas will not only form acid rain and harm the ecological system, but also be an important inducement for the formation of smog. Therefore, it has become a necessary measure to widely apply desulfurization equipment in the power industry. By means of various technical means such as wet desulfurization and semi-dry desulfurization, sulfides in flue gas can be effectively removed, thereby significantly reducing the negative impact of industrial production on the atmospheric environment.

[0003] A patent application with the publication number CN115738622B discloses a tail gas emission detection system for desulfurization equipment, including a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, and an equipment regulation module. The processor is communicatively connected to the desulfurization effect monitoring module, the equipment operation feedback module, the matching judgment module, and the equipment regulation module, and the processor is communicatively connected to the terminal device of the corresponding equipment supervisor; the desulfurization effect monitoring module of this patent conducts tail 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 feedback module is used to conduct equipment operation analysis, and when the equipment operation is qualified, the matching judgment module is used to conduct matching judgment analysis to realize the investigation and determination of the reasons for unqualified flue gas desulfurization, which is convenient for automatic regulation or manual regulation by supervisors to improve the desulfurization effect of the desulfurization equipment.

[0004] The above solution still has some problems in practical applications. This patent fails to consider the collaborative treatment of multiple pollutants and only focuses on sulfur content detection. Although the pretreatment analysis module involves nitric oxide, soot, and flue gas temperature, the judgment logic is independent and does not integrate the comprehensive treatment effect evaluation of multiple pollutants such as nitrogen oxides and dust, which does not meet the actual demand of desulfurization equipment for collaborative treatment of multiple pollutants.

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

[0006] The present invention proposes a multi-pollutant collaborative treatment monitoring system for desulfurization equipment, which can simultaneously monitor the treatment effects of sulfur, nitrogen oxides, and dust, and realize the collaborative regulation of the 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, including a processor, a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, a pretreatment analysis module, and a regulation and optimization module. 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 regulation and optimization module; The desulfurization effect monitoring module is configured to simultaneously obtain the sulfur content, nitrogen oxide content, and dust concentration data in the tail gas, and generate a qualified or unqualified signal for treatment based on the comprehensive emission standards for multiple pollutants. The equipment operation feedback module is configured to calculate the comprehensive treatment capacity values of the equipment for sulfur, nitrogen oxides, and dust according to the operation data of the air compressor and the centrifugal circulating slurry pump. The matching judgment module is configured to evaluate the matching degree between the treatment capacity of the desulfurization device and the multi-pollutant load, and generate a corresponding regulation signal.

[0008] Further, the desulfurization effect monitoring module includes a multi-pollutant data collection unit for synchronously obtaining the sulfur content value WS, nitrogen oxide content value WN, and dust concentration value WD in the tail gas. The desulfurization effect monitoring module further includes a comprehensive evaluation unit for calculating the comprehensive deviation value SPM of multiple pollutants. 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 further includes a judgment unit for generating a qualified signal for desulfurization and multi-pollutant treatment when SPM is less than the preset comprehensive threshold, and generating an unqualified signal for treatment otherwise; Through this formula, the weighted sum of the ratios of the actual contents of the three pollutants to the corresponding thresholds is calculated 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 qualified signal for desulfurization and multi-pollutant treatment is generated, and an unqualified signal for treatment is generated otherwise, thereby making a clear judgment on the multi-pollutant treatment effect of the desulfurization device.

[0009] Further, the equipment operation feedback module includes a multi-pollutant treatment capacity calculation unit for calculating the sulfur treatment capacity value KXS and nitrogen oxide treatment capacity value KXN of the air compressor according to the air inlet speed value KS and the oxygen content value KY, and also for calculating the sulfur treatment capacity value BXS and dust treatment capacity value BXD of the slurry pump according to the slurry transmission speed value JS and the slurry concentration value JN. The equipment operation feedback module further includes a comprehensive treatment capacity evaluation unit for calculating the comprehensive treatment capacity value CXZ of the equipment 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; Through the multi-pollutant treatment capacity calculation unit, calculate the treatment capacity value of the air compressor for sulfur and nitrogen oxides based on the air inlet speed value KS and the oxygen content value KY, calculate the treatment capacity value of the slurry pump for sulfur and dust based on the slurry transmission speed value JS and the slurry concentration value JN, and then calculate the comprehensive treatment capacity value CXZ of the equipment by the comprehensive treatment capacity evaluation unit in combination with the preset weight coefficient to quantify the treatment capacity of the equipment for multi-pollutants.

[0010] Further, the matching judgment module includes a multi-pollutant load analysis unit for calculating the multi-pollutant load value FH according to the sulfur content 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 also includes a matching degree evaluation unit for calculating the matching ratio PFZM of the treatment capacity to the load, and the calculation formula is PFZM = CXZ / FH. The matching judgment module also includes a regulation signal generation unit for generating a coordinated regulation signal for sulfur, nitrogen oxides and dust when PFZM is less than the preset matching threshold.

[0011] Further, the pre-treatment analysis module is used to obtain the post-treatment nitric oxide content value HX, the post-treatment flue gas temperature value YW, the post-treatment soot value YH and the post-treatment dust particle size distribution data DP of the flue gas pre-treatment, and is also used to calculate the pre-treatment comprehensive score YCH based on the multi-pollutant pre-treatment effect evaluation model. When YCH is lower than the preset pre-treatment threshold, a pre-treatment optimization instruction is generated, and the instruction includes the coordinated control parameters for the denitrification, dust removal and temperature adjustment equipment.

[0012] Further, the regulation and optimization module is used to receive the output signals of the desulfurization effect monitoring module, the equipment operation feedback module and the matching judgment module, and is also used to generate an optimal regulation parameter set that simultaneously meets the sulfur, nitrogen oxide and dust emission standards based on the multi-objective optimization algorithm. The parameter set includes the air inlet speed adjustment amount ΔKS, the slurry concentration adjustment amount ΔJN and the denitrifying agent injection amount ΔNJ, and sends the optimal regulation parameter set to the desulfurization equipment; Based on the multi-objective optimization algorithm with minimizing the multi-pollutant emission concentration, energy consumption and equipment loss as the objective function, combined with the equipment operation parameter limit values and the environmental protection emission standard limit values as the constraint conditions, an optimal regulation parameter set is generated and sent to the desulfurization equipment to realize the coordinated optimization regulation of multi-pollutant treatment.

[0013] Further, the processor is used to dynamically adjust the preset weight coefficient and threshold based on the historical operation data and the equipment aging model, and is also used to execute the fault diagnosis process and identify the main equipment and parameters causing the abnormality when multi-pollutant emissions are monitored to be abnormal.

[0014] Optionally, a multi-pollutant collaborative treatment monitoring system for a desulfurization device further includes a data visualization module for real-time display of trend charts of sulfur, nitrogen oxide, and dust emission concentrations, radar charts of the treatment efficiency of the device for each pollutant, and cost-benefit analysis tables for multi-pollutant collaborative treatment.

[0015] The beneficial effects of the present invention are as follows: By constructing a multi-pollutant collaborative treatment monitoring system, the limitation of traditional desulfurization devices that only focus on single sulfur content monitoring is broken through, and comprehensive evaluation and collaborative control of the treatment effects of sulfur, nitrogen oxides, and dust are achieved. Through multi-pollutant data collection and comprehensive deviation value calculation, the system can comprehensively reflect the overall treatment effects of multiple pollutants in the tail gas, avoiding the one-sidedness of independent judgment; the device operation feedback module and the matching judgment module combine the operation parameters of equipment such as air compressors and slurry pumps and the multi-pollutant load to quantify the device treatment capacity and evaluate its matching degree with the actual load, providing data support for precise control; the pretreatment analysis module conducts multi-parameter evaluation and collaborative control of the flue gas pretreatment link, improving the front-end treatment efficiency and creating stable conditions for the subsequent main process; the regulation and optimization module generates optimal regulation parameters based on multi-objective optimization algorithms, taking into account energy consumption and equipment loss while meeting multi-pollutant emission standards, realizing global collaborative optimization; the processor dynamically adjusts the weight threshold and has a fault diagnosis function, enabling the system to adapt to equipment aging and working conditions changes, enhancing the reliability of long-term operation; the data visualization module provides real-time dynamic support for supervision and decision-making through intuitive chart displays. Overall, the system effectively solves the problems of isolated multi-pollutant treatment evaluation and non-collaborative regulation in the prior art, significantly improves the comprehensive treatment efficiency of desulfurization devices for sulfur, nitrogen oxides, and dust, and has environmental protection, economy, and self-adaptability, meeting the actual needs of multi-pollutant collaborative treatment in industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0017] Figure 1 is the system block diagram of the whole of the present invention; Figure 2 is the system block diagram of the desulfurization effect monitoring module of the present invention; Figure 3 is the system block diagram of the device operation feedback module of the present invention; Figure 4 is the system block diagram of the matching judgment module of the present invention.

[0018] In the figure: 1, processor; 2, desulfurization effect monitoring module; 20, multi-pollutant data collection unit; 21, comprehensive evaluation unit; 22, judgment unit; 3. Equipment operation feedback module; 30. Multi-pollutant treatment capacity calculation unit; 31. Comprehensive treatment capacity evaluation unit; 4. Matching judgment module; 40. Multi-pollutant load analysis unit; 41. Matching degree evaluation unit; 42. Regulation signal generation unit; 5. Pretreatment analysis module; 6. Regulation and optimization module. Specific implementation manner

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0020] Embodiment 1 As Figures 1-4 shown, this embodiment proposes a multi-pollutant collaborative treatment monitoring system for a desulfurization device, 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 regulation and optimization module 6. The processor 1 is communicatively connected to the desulfurization effect monitoring module 2, the equipment operation feedback module 3, the matching judgment module 4, the pretreatment analysis module 5, and the regulation and optimization module 6; The desulfurization effect monitoring module 2 is configured to simultaneously obtain the sulfur content, nitrogen oxide content, and dust concentration data in the tail gas, and generate a qualified or unqualified signal for treatment based on the multi-pollutant comprehensive emission standard. The equipment operation feedback module 3 is configured to calculate the comprehensive treatment capacity values of the equipment for sulfur, nitrogen oxides, and dust according to the operation 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 treatment capacity of the desulfurization device and the multi-pollutant load, and generate a corresponding regulation signal.

[0021] The desulfurization effect monitoring module 2 includes a multi-pollutant data acquisition unit 20 for synchronously obtaining the sulfur content value WS, nitrogen oxide content value WN, and dust concentration value WD in the tail gas. The desulfurization effect monitoring module 2 further 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 further includes a judgment unit 22 for configuring to generate a qualified signal for desulfurization and multi-pollutant treatment when SPM is less than the preset comprehensive threshold, and vice versa to generate an unqualified signal for treatment; Through this formula, the weighted sum of the ratios of the actual contents of the three pollutants to their corresponding thresholds is calculated to comprehensively reflect the overall treatment effect of multiple pollutants. The judgment unit 22 generates a signal based on the comparison result between the comprehensive deviation value SPM and the preset comprehensive threshold. When SPM is less than the preset comprehensive threshold, a qualified signal for desulfurization and multi-pollutant treatment is generated; otherwise, an unqualified signal is generated, thus making a clear judgment on the multi-pollutant treatment effect of the desulfurization equipment.

[0022] The equipment operation feedback module 3 includes a multi-pollutant treatment capacity calculation unit 30, which is used to calculate the sulfur treatment capacity value KXS and the nitrogen oxide treatment capacity value KXN of the air compressor according to the air inlet speed value KS and the oxygen content value KY, and is also used to calculate the sulfur treatment capacity value BXS and the dust treatment capacity value BXD of the slurry pump according to the slurry transmission speed value JS and the slurry concentration value JN. The equipment operation feedback module 3 also includes a comprehensive treatment capacity evaluation unit 31, which is used to calculate the comprehensive treatment capacity value CXZ of the equipment 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. Through the multi-pollutant treatment capacity calculation unit 30, the sulfur and nitrogen oxide treatment capacity values of the air compressor are calculated based on the air inlet speed value KS and the oxygen content value KY, and the sulfur and dust treatment capacity values of the slurry pump are calculated based on the slurry transmission speed value JS and the slurry concentration value JN. Then, through the comprehensive treatment capacity evaluation unit 31, the comprehensive treatment capacity value CXZ of the equipment is calculated in combination with the preset weight coefficients to quantify the treatment capacity of the equipment for multiple pollutants.

[0023] The matching judgment module 4 includes a multi-pollutant load analysis unit 40, which is used to calculate the multi-pollutant load value FH according to the sulfur content value YL, the pressure value YY, the 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 of the treatment capacity to the load. The calculation formula is PFZM = CXZ / FH. The matching judgment module 4 also includes a regulation signal generation unit 42, which is used to generate a coordinated regulation signal for sulfur, nitrogen oxides and dust when PFZM is less than the preset matching threshold.

[0024] The pretreatment analysis module 5 is used to obtain the post-treatment nitrate content value HX, the post-treatment flue gas temperature value YW, the post-treatment soot value YH and the post-treatment dust particle size distribution data DP of the flue gas, and is also used as a multi-pollutant pretreatment effect evaluation model to calculate the pretreatment comprehensive score YCH. When YCH is lower than the preset pretreatment threshold, a pretreatment optimization instruction is generated, and the instruction includes the coordinated control parameters for denitration, dust removal and temperature adjustment equipment.

[0025] The regulation and 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 also serves as a multi-objective optimization algorithm to generate an optimal regulation parameter set that simultaneously meets the sulfur, nitrogen oxide, and dust emission standards. The parameter set includes the air inlet speed adjustment amount ΔKS, the slurry concentration adjustment amount ΔJN, and the denitration agent injection amount ΔNJ, and sends the optimal regulation parameter set to the desulfurization equipment. Based on a multi-objective optimization algorithm with minimizing the multi-pollutant emission concentration, energy consumption, and equipment loss as the objective function, combined with the equipment operation parameter limit values and environmental protection emission standard limit values as the constraint conditions, an optimal regulation parameter set is generated and sent to the desulfurization equipment to achieve the collaborative optimization regulation of multi-pollutant treatment.

[0026] The processor 1 is used to dynamically adjust the preset weight coefficients and thresholds based on historical operation data and the equipment aging model. It is also used to execute a fault diagnosis process and identify the main equipment and parameters causing anomalies when multi-pollutant emissions are monitored to be abnormal.

[0027] Optionally, a multi-pollutant collaborative treatment monitoring system for desulfurization equipment further includes a data visualization module for real-time displaying the emission concentration trend charts of sulfur, nitrogen oxides, and dust, the radar charts of the treatment efficiency of the equipment for each pollutant, and the cost-benefit analysis table of multi-pollutant collaborative treatment.

[0028] It should be added that in order to refine the dynamic adjustment mechanism of the weight coefficients and thresholds, the adaptive algorithms of the weight coefficients α, β, and γ are preset with the initial weights α = 0.5, β = 0.3, and γ = 0.2. The processor 1 dynamically adjusts according to historical emission data and environmental protection policies. When there is a regional haze warning, the dust weight γ is automatically increased to 0.4. When the nitrogen oxide exceeds the standard frequently, the β weight self-learning algorithm is triggered (based on the BP neural network to fit the correlation between the number of times of exceeding the standard and β). Combined with seasonal changes (the sulfur content threshold is reduced by 10% during the winter heating period), the degree of equipment aging (the threshold is relaxed by 5% after 5 years of operation), and the revision of local emission standards, the threshold library is updated in real time through the equipment aging model (the performance decay curve based on Lagrange interpolation method).

[0029] It also should be added that in order to strengthen the algorithm of the regulation and optimization module 6, the specific parameters of the multi-objective optimization algorithm are that the objective function is min(w1・SPM + w2・(KS² + JS²) + w3・(JN² + (ΔNJ)²)), where C emission = w1・SPM, C energy consumption = w2・(KS² + JS²), and C loss = w3・(JN² + (ΔNJ)²). Among them, the constraint conditions 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; The priority strategy for adjusting parameters is that when SPM > 1.5 times the preset comprehensive threshold, the denitration agent injection amount ΔNJ is preferentially adjusted (response time < 10 seconds); When PFZM < 0.8 and the energy consumption exceeds the standard, the frequency conversion coordinated control of the air compressor and the slurry pump is triggered (frequency adjustment step size ≤ 5Hz).

[0030] The working principle of the present invention: During use, the sensor continuously collects operation data such as the sulfur content, nitrogen oxide content, dust concentration in the tail gas, the air intake speed and oxygen content of the air compressor, and the slurry output speed and concentration of the centrifugal circulating slurry pump. At the same time, parameters such as the nitrate content, flue gas temperature, soot volume, and dust particle size distribution after flue gas pretreatment are obtained. All data are transmitted to the processor 1 in real time. The processor 1 first inputs the tail gas pollutant data into the desulfurization effect monitoring module 2. The multi-pollutant data acquisition unit 20 synchronously obtains the real-time concentration values of sulfur, nitrogen oxides, and dust. The comprehensive evaluation unit 21 calculates the multi-pollutant comprehensive deviation value SPM through a preset weighted formula. This formula sums the ratios of the actual contents of the three pollutants to their corresponding thresholds according to weights. The initial values of the weight coefficients α, β, and γ are 0.5, 0.3, and 0.2 respectively, and can be dynamically adjusted according to historical emission data and environmental protection policies (for example, when there is a haze warning, the dust weight is automatically increased to 0.4). The judgment unit 22 compares SPM with the preset comprehensive threshold. If it is less than the threshold, a qualified processing signal is generated; otherwise, an unqualified signal is generated, thereby judging whether the overall treatment effect of multi-pollutants meets the standard; The equipment operation feedback module 3 calculates the equipment processing capacity based on the operation data of the air compressor and the slurry pump: the air intake speed and oxygen content of the air compressor are used to calculate the processing capacity values for sulfur and nitrogen oxides, and the slurry output 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 comprehensive processing capacity value CXZ of the equipment for multi-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 synchronously analyzes the flue gas load, calculates the multi-pollutant load value FH based on the flue gas sulfur content, flue gas pressure, flue gas speed, and nitrogen oxide and dust concentrations, and then evaluates the matching degree through the ratio PFZM of the processing capacity to the load. If PFZM is less than the preset threshold, it indicates that the equipment processing capacity is insufficient, and a coordinated control signal for sulfur, nitrogen oxides, and dust is generated, triggering the regulation and optimization process; The pretreatment analysis module 5 evaluates the parameters of the flue gas after pretreatment, calculates the 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, generates an optimization instruction containing collaborative control parameters, and adjusts the operating state of the front-end equipment to improve the pretreatment efficiency, creating stable conditions for the subsequent main treatment process. After receiving signals from multiple modules, the regulation and optimization module 6 starts a multi-objective optimization algorithm, aiming to minimize the multi-pollutant emission concentration, energy consumption, and equipment loss, combines the limit values of equipment operating parameters and the limit values of environmental protection discharge standards as constraint conditions, and generates an optimal regulation parameter set (such as the adjustment amount of air inlet speed, the adjustment amount of slurry concentration, the injection amount of denitrification agent). When the SPM exceeds the standard severely, the injection amount of denitrification agent is preferentially and quickly adjusted. If the matching degree is insufficient and the energy consumption exceeds the standard, the frequency conversion collaborative control of the air compressor and the slurry pump is triggered to ensure that the adjustment strategy takes into account both the treatment effect and the energy efficiency; The processor 1 continuously plays a core control role throughout the process, dynamically updates the preset weight coefficients and thresholds of each module based on historical operation data and the equipment aging model. For example, the threshold is relaxed according to the performance decay curve fitted by Lagrange interpolation method based on the equipment operation years, or the pollutant discharge standard is adjusted in combination with seasonal changes. Once abnormal multi-pollutant emissions are detected, the fault diagnosis process is immediately executed, and the main equipment (such as the decrease in the efficiency of the air compressor, the blockage of the slurry pump) and key parameters (such as the fluctuation of the inlet speed, the deviation of the concentration) causing the abnormality are identified through correlation analysis, providing accurate guidance for maintenance. The data visualization module intuitively presents the emission concentration trends of sulfur, nitrogen oxides, and dust, the treatment efficiency of the equipment for each pollutant, the cost-benefit of multi-pollutant collaborative treatment, etc. in the form of charts in real time. Supervisors can grasp the system operation status in real time through the dynamic interface and manually intervene in the regulation parameters or set temporary weight priorities when necessary to achieve efficient decision-making with human-machine collaboration. The entire system continuously improves the collaborative treatment efficiency of the desulfurization equipment for multi-pollutants through a closed-loop process of "data collection - comprehensive evaluation - matching judgment - collaborative regulation - dynamic optimization", taking into account economy and equipment reliability while meeting environmental protection standards.

[0031] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific embodiments. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. 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 regulation and optimization module, characterized in that The processor is communicatively connected to a desulfurization effect monitoring module, an equipment operation feedback module, a matching judgment module, a pretreatment analysis module, and a regulation and optimization module; The desulfurization effect monitoring module is configured to simultaneously obtain the sulfur content, nitrogen oxide content, and dust concentration data in the tail gas, and generate a qualified or unqualified signal for treatment based on the comprehensive emission standard of multiple pollutants. The equipment operation feedback module is configured to calculate the comprehensive treatment capacity value of the equipment for sulfur, nitrogen oxides, and dust according to the operation data of the air compressor and the centrifugal circulating slurry pump. The matching judgment module is configured to evaluate the matching degree between the treatment capacity of the desulfurization equipment and the multiple pollutant load, and generate a corresponding regulation signal.

2. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 1, characterized in that, The desulfurization effect monitoring module includes a multiple pollutant data acquisition unit for synchronously obtaining the sulfur content value WS, nitrogen oxide content value WN, and dust concentration value WD in the tail gas; The desulfurization effect monitoring module further includes a comprehensive evaluation unit for calculating the comprehensive deviation value SPM of multiple pollutants, and 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 further includes a judgment unit for generating a qualified signal for desulfurization and multiple pollutant treatment when SPM is less than the preset comprehensive threshold, and generating an unqualified signal for treatment otherwise.

3. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 2, characterized in that, The equipment operation feedback module includes a multiple pollutant treatment capacity calculation unit for calculating the sulfur treatment capacity value KXS and nitrogen oxide treatment capacity value KXN of the air compressor according to the air inlet speed value KS and oxygen content value KY, and also for calculating the sulfur treatment capacity value BXS and dust treatment capacity value BXD of the slurry pump according to the slurry transmission speed value JS and slurry concentration value JN; The equipment operation feedback module further includes a comprehensive treatment capacity evaluation unit for calculating the comprehensive treatment capacity value CXZ of the equipment 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.

4. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 3, characterized in that, The matching judgment module includes a multiple pollutant load analysis unit for calculating the multiple pollutant load value FH according to the sulfur content value in the flue gas YL, flue gas pressure value YY, flue gas speed value YS, nitrogen oxide concentration YN in the flue gas, and dust concentration YD; The matching judgment module further includes a matching degree evaluation unit for calculating the matching ratio PFZM between the treatment capacity and the load, and the calculation formula is PFZM = CXZ / FH; The matching judgment module further includes a regulation signal generation unit for generating a coordinated regulation signal for sulfur, nitrogen oxides, and dust when PFZM is less than the preset matching threshold.

5. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 4, characterized in that, The pretreatment analysis module is used to obtain the nitrate content value HX, flue gas temperature value YW, soot value YH after flue gas pretreatment, and the particle size distribution data DP of the dust after pretreatment; It is also used as a multi-pollutant pretreatment effect evaluation model to calculate the comprehensive pretreatment score YCH. When YCH is lower than the preset pretreatment threshold, a pretreatment optimization instruction is generated, and the instruction includes the coordinated control parameters for denitration, dust removal, and temperature adjustment equipment.

6. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 5, characterized in that, The regulation and optimization module is used to receive the output signals of the desulfurization effect monitoring module, the equipment operation feedback module, and the matching judgment module. It is also used as a multi-objective optimization algorithm to generate an optimal regulation parameter set that simultaneously meets the sulfur, nitrogen oxide, and dust emission standards. The parameter set includes the air inlet speed adjustment amount ΔKS, the slurry concentration adjustment amount ΔJN, and the denitration agent injection amount ΔNJ, and sends the optimal regulation parameter set to the desulfurization equipment.

7. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 6, characterized in that, The multi-objective optimization algorithm takes minimizing the multi-pollutant emission concentration, minimizing energy consumption, and equipment loss as the objective function, and the constraint conditions include the limit values of equipment operation parameters and the limit values of environmental protection emission standards.

8. The multi-pollutant collaborative treatment monitoring system of a desulfurization device according to claim 7, characterized in that, The processor is used to dynamically adjust the preset weight coefficient and threshold based on historical operation data and the equipment aging model. It is also used to execute a fault diagnosis process and identify the main equipment and parameters that cause the abnormality when abnormal multi-pollutant emissions are detected.

Images