CN-122006436-A - Intelligent desulfurization full-technology integration method, device, equipment and medium

CN122006436ACN 122006436 ACN122006436 ACN 122006436ACN-122006436-A

Abstract

The application provides a full-technology integrated method, device, equipment and medium for intelligent desulfurization, which comprises the steps of collecting key parameter data of a desulfurization full-process, preprocessing the collected data to obtain key derivative variables, judging current operation conditions, determining a corresponding prediction model parameter set and a control strategy, obtaining an inlet SO 2 mass flow rate and a circulating slurry pH value at preset time and an absorption tower outlet SO 2 concentration according to preset model prediction, designing a control loop for the circulating slurry pH and the outlet SO 2 concentration respectively by adopting a two-stage MPC structure, solving to obtain an optimal control scheme based on an optimization target under equipment and process constraints, constructing an optimization target function with the minimum full-process operation cost as the target on the premise of meeting SO 2 emission standards and equipment constraints, outputting the optimal steady-state target as an MPC set value constraint, and decoupling the obtained control scheme to a subsystem to obtain an executable instruction, thereby realizing the full-process linkage regulation of the system.

Inventors

FU QIUSHUN
NIU LINXING
WU YE
YAN HUANHUAN
Xie Youlai
YUAN YONGBO

Assignees

大唐环境产业集团股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251218

Claims (10)

1. The full-technology integrated method for intelligent desulfurization is characterized by comprising the following steps of: preprocessing the acquired data and extracting features to obtain key derivative variables including an inlet SO 2 mass flow rate and a circulating slurry flow rate; according to the preprocessed data, setting a threshold value based on unit load and fuel sulfur content change rate, judging current operation conditions, and determining a corresponding prediction model parameter set and a control strategy according to the operation conditions; according to the pretreated data, according to a preset model, predicting and obtaining the inlet SO 2 mass flow rate and the circulating slurry pH value at preset time and the concentration of SO 2 at the outlet of the absorption tower; Adopting a two-stage MPC structure, designing a control loop aiming at the pH of the circulating slurry and the concentration of SO 2 at an outlet, taking the control precision of the pH of the circulating slurry, the concentration of SO 2 at the outlet and a set value and the running smoothness of the system as optimization targets, and solving under the constraints of equipment and technology to obtain an optimal control scheme, wherein the optimal control scheme comprises a slurry supply flow and a start-stop combination of a circulating pump; On the premise of meeting the emission standard of SO 2 and the equipment constraint, constructing an optimization objective function by taking the total flow operation cost minimization as a target, adopting a slow loop operation mode, and outputting an optimal steady-state target as an MPC set value constraint; And decoupling the obtained control scheme to a pulping, dewatering, wastewater and urea hydrolysis subsystem to obtain executable instructions, so as to realize the whole-flow linkage regulation and control of the system.
2. The intelligent desulfurization full-technology integrated method according to claim 1, wherein the data collected by the DCS system comprises inlet flue gas flow, inlet SO 2 concentration, unit load, coal supply amount or current, absorption tower liquid level, spray layer pressure drop, circulating pump operation frequency, slurry supply pump slurry supply flow, oxidation system parameters, gypsum dehydration system basic parameters including cyclone pressure, filter cake thickness, belt speed and vacuum degree, urea hydrolysis tank pressure, temperature, steam valve opening and denitration steam consumption.
3. The intelligent desulfurization integrated method according to claim 1, wherein the operating condition is determined according to the threshold value of the change rate of the unit load and the sulfur content of the fuel as follows: Triggering when the load change rate of the unit is greater than a load change threshold or the sulfur content change rate is greater than a sulfur content change threshold, and correspondingly pre-starting a pump group and setting a lifting strategy; triggering when the load change rate is smaller than a load drop threshold or the sulfur content change rate is smaller than a sulfur content drop threshold, and correspondingly stopping a pump and setting a down regulation strategy; and the stable working condition is controlled by adopting a conventional parameter set except the expansion working condition and the falling working condition.
4. The integrated intelligent desulfurization process of claim 1, wherein the pre-set model comprises a circulating slurry pH prediction model, an outlet SO 2 concentration prediction model; The circulating slurry pH value prediction model adopts a NARX structure, and the model expression is as follows: ; Wherein θ 0 ~θ 4 is a model parameter, pH (k-i) is the pH value of circulating slurry at k-i, Q s (k-i) is the slurry supply flow at k-i, F so2,in (k-i) is the mass flow rate of inlet SO 2 at k-i, w k is a model error term, and the optimal parameters under various working conditions are obtained through historical data fitting; the outlet SO 2 concentration prediction model adopts a mechanism enhanced ARX structure, and the model expression is as follows: ; ; wherein the absorption efficiency η (K) is calculated by a penetration model, K L a is a mass transfer coefficient, τ is a residence time, ζ is a correction factor for pH and temperature T, and τ (K) =k (L/G); Introducing error regression term correction, wherein the expression is as follows: ; Wherein, the As regression parameters, C out (k-i) is the outlet SO 2 concentration at k-i, Q c (k-i) is the circulating slurry flow at k-i, pH (k-i) is the circulating slurry pH at k-i, and V k is the error term.
5. The integrated intelligent desulfurization process according to claim 1, wherein the two-stage MPC structure is adopted, and the MPC loop including the pH of the circulating slurry and the MPC control loop having the concentration of the outlet SO 2 are set as follows: The MPC control loop of the pH of the circulating slurry takes the combination of the inlet flue gas flow, the inlet SO 2 concentration and the operation of the circulating pump as disturbance variables, takes the adjustment quantity of the slurry pump as an operation variable, takes the current and historical pH values of the circulating slurry and the circulating slurry at the future moment output by a prediction model as feedback input, takes the pH of the circulating slurry as a controlled variable, and controls the target to be stable within a set value range; the MPC control loop of the outlet SO 2 concentration takes the combination of the inlet flue gas parameter and the start and stop of the circulating pump as an interference variable, takes the current and historical outlet SO 2 concentration values and the outlet SO 2 concentration of the predicted model output at the future moment as feedback inputs, the operation variable comprises the start and stop combination and the variable frequency of a plurality of circulating pumps, the controlled variable is the outlet SO 2 concentration, and the control target is that the clamping control is in a set value range and the discharge upper limit is not exceeded.
6. The integrated intelligent desulfurization method according to claim 5, wherein the control precision of the pH value of the circulating slurry, the concentration of the outlet SO 2 and the set value, and the smoothness of the system operation are used as optimization targets, and the method is as follows: ; Wherein, pH and C out are respectively the pH value of the circulating slurry and the concentration set value of the outlet SO 2 , , As the weight coefficient of the light-emitting diode, In order to predict the step size, The window is controlled for the controller and the window is output for each round of optimization.
7. The intelligent desulfurization all-technical integrated method according to claim 5, wherein the objective of constructing an optimization objective function with the aim of minimizing the total flow operation cost is as follows: ; ; Wherein lambda e is the electricity consumption weight, E pump is the electricity consumption of a circulating pump, lambda l is the limestone consumption weight, C slueey is the slurry unit consumption coefficient, lambda chem is the medicament consumption weight, Q waste is the wastewater discharge amount, C chem is the medicament cost, and lambda em is the discharge exceeding punishment weight.
8. A full-technology integrated device for intelligent desulfurization, comprising: the data acquisition and processing module is used for acquiring key parameter data of the whole desulfurization process through the DCS system and the intelligent instrument, preprocessing the acquired data and extracting the characteristics to obtain key derivative variables including the mass flow rate of the inlet SO 2 and the flow rate of the circulating slurry; The working condition identification module is used for setting a threshold value based on the unit load and the fuel sulfur content change rate according to the preprocessed data, judging the current operation working condition, and determining a corresponding prediction model parameter set and a control strategy according to the operation working condition; The prediction modeling module is used for predicting and obtaining the inlet SO 2 mass flow rate and the circulating slurry pH value at preset moment and the concentration of the outlet SO 2 of the absorption tower according to the preset model according to the preprocessed data; The MPC controller operation module is used for adopting a two-stage MPC structure, designing a control loop aiming at the pH of the circulating slurry and the SO 2 at the outlet, taking the control precision of the pH of the circulating slurry, the concentration of the SO 2 at the outlet and a set value and the smoothness of the system operation as optimization targets, and solving under the constraints of equipment and technology to obtain an optimal control scheme, wherein the optimal control scheme comprises a slurry supply flow and a start-stop combination of a circulating pump; the on-line input optimization control module is used for constructing an optimization objective function by taking the total flow operation cost as a target on the premise of meeting the emission standard of SO 2 and the equipment constraint, adopting a slow-loop operation mode, and outputting an optimal steady-state target as an MPC set value constraint; And the cooperative execution module is used for decoupling the obtained control scheme to the pulping, dewatering, wastewater and urea hydrolysis subsystem to obtain executable instructions, so that the whole-flow linkage regulation and control of the system are realized.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the fully technical integrated method of intelligent desulfurization according to any one of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the all-technology integrated method of intelligent desulfurization according to any one of claims 1 to 7.

Description

Intelligent desulfurization full-technology integration method, device, equipment and medium Technical Field The invention relates to the technical field of intelligent desulfurization control, and relates to a full-technology integrated method, device, equipment and medium for intelligent desulfurization, in particular to an intelligent control and full-technology optimization method for a wet desulfurization (FGD) device of a coal-fired power plant. Background Under the conditions of variable load and fuel sulfur-containing fluctuation, the pH of the circulating slurry and the concentration of SO 2 at the outlet are easy to fluctuate, and the traditional control mode mainly comprising artificial experience and single-loop PID is difficult to realize high-precision stable and economic operation under complex disturbance. Meanwhile, the engineering problems of difficult dehydration, reduced gypsum quality and the like caused by the detection error of granularity/density, undetectable flow of circulating slurry and accumulation of chloride ions are ubiquitous, and the integration of mechanism modeling, data driving, advanced control and online optimization is needed to form an intelligent solution capable of safely falling to the ground under a DCS system. Disclosure of Invention In order to overcome the problems in the related art, the present disclosure provides a full-technology integrated method, apparatus, device and medium for intelligent desulfurization, so as to solve the technical problems in the related art. One or more embodiments of the present specification provide a full-technology integrated method for intelligent desulfurization, including the steps of: preprocessing the acquired data and extracting features to obtain key derivative variables including an inlet SO 2 mass flow rate and a circulating slurry flow rate; according to the preprocessed data, setting a threshold value based on unit load and fuel sulfur content change rate, judging current operation conditions, and determining a corresponding prediction model parameter set and a control strategy according to the operation conditions; according to the pretreated data, according to a preset model, predicting and obtaining the inlet SO 2 mass flow rate and the circulating slurry pH value at preset time and the concentration of SO 2 at the outlet of the absorption tower; Adopting a two-stage MPC structure, respectively designing a control loop aiming at the pH of the circulating slurry and the concentration of SO 2 at an outlet, taking the control precision of the pH of the circulating slurry, the concentration of SO 2 at the outlet and a set value and the running smoothness of a system as optimization targets, and solving under the constraints of equipment and a process to obtain an optimal control scheme, wherein the optimal control scheme comprises a slurry supply flow and a start-stop combination of a circulating pump; On the premise of meeting the emission standard of SO 2 and the equipment constraint, constructing an optimization objective function by taking the total flow operation cost minimization as a target, adopting a slow loop operation mode, and outputting an optimal steady-state target as an MPC set value constraint; And decoupling the obtained control scheme to a pulping, dewatering, wastewater and urea hydrolysis subsystem to obtain executable instructions, so as to realize the whole-flow linkage regulation and control of the system. One or more embodiments of the present specification provide a full-technology integrated device for smart desulfurization, comprising: the data acquisition and processing module is used for acquiring key parameter data of the whole desulfurization process through the DCS system and the intelligent instrument, preprocessing the acquired data and extracting the characteristics to obtain key derivative variables including the mass flow rate of the inlet SO 2 and the flow rate of the circulating slurry; The working condition identification module is used for setting a threshold value based on the unit load and the fuel sulfur content change rate according to the preprocessed data, judging the current operation working condition, and determining a corresponding prediction model parameter set and a control strategy according to the operation working condition; The prediction modeling module is used for predicting and obtaining the inlet SO 2 mass flow rate and the circulating slurry pH value at preset moment and the concentration of the outlet SO 2 of the absorption tower according to the preset model according to the preprocessed data; The MPC controller operation module is used for adopting a two-stage MPC structure, designing a control loop aiming at the pH of the circulating slurry and the SO 2 at the outlet, taking the control precision of the pH of the circulating slurry, the concentration of the SO 2 at the outlet and a set value and the smoothness of the system operation as optimization ta