CN116212622A - Multi-parameter coupled intelligent operation control system for wet desulfurization - Google Patents

Multi-parameter coupled intelligent operation control system for wet desulfurization Download PDF

Info

Publication number
CN116212622A
CN116212622A CN202211719073.7A CN202211719073A CN116212622A CN 116212622 A CN116212622 A CN 116212622A CN 202211719073 A CN202211719073 A CN 202211719073A CN 116212622 A CN116212622 A CN 116212622A
Authority
CN
China
Prior art keywords
module
regulation
intelligent
spraying
analysis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211719073.7A
Other languages
Chinese (zh)
Inventor
陈亮
冯浩
张鹏
王丽萍
王晓彤
王鹤
李华
翟庆超
孟锐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jinan Zhihan Energy Saving Environmental Protection Technology Co ltd
Huaneng Jining Canal Generating Co ltd
Original Assignee
Jinan Zhihan Energy Saving Environmental Protection Technology Co ltd
Huaneng Jining Canal Generating Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jinan Zhihan Energy Saving Environmental Protection Technology Co ltd, Huaneng Jining Canal Generating Co ltd filed Critical Jinan Zhihan Energy Saving Environmental Protection Technology Co ltd
Priority to CN202211719073.7A priority Critical patent/CN116212622A/en
Publication of CN116212622A publication Critical patent/CN116212622A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
    • G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/30—Controlling by gas-analysis apparatus
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/34—Chemical or biological purification of waste gases
    • B01D53/346—Controlling the process
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/34—Chemical or biological purification of waste gases
    • B01D53/46—Removing components of defined structure
    • B01D53/48—Sulfur compounds
    • B01D53/50—Sulfur oxides
    • B01D53/501—Sulfur oxides by treating the gases with a solution or a suspension of an alkali or earth-alkali or ammonium compound
    • B01D53/502—Sulfur oxides by treating the gases with a solution or a suspension of an alkali or earth-alkali or ammonium compound characterised by a specific solution or suspension
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/34—Chemical or biological purification of waste gases
    • B01D53/74—General processes for purification of waste gases; Apparatus or devices specially adapted therefor
    • B01D53/80—Semi-solid phase processes, i.e. by using slurries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D2258/00—Sources of waste gases
    • B01D2258/02—Other waste gases
    • B01D2258/0283—Flue gases
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Chemical & Material Sciences (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Physics & Mathematics (AREA)
  • Treating Waste Gases (AREA)

Abstract

The invention provides a multi-parameter coupled wet desulfurization intelligent operation regulation and control system, which comprises a coal quality analysis module for carrying out industrial analysis and element analysis on coal, an intelligent regulation and control module, an on-line monitoring module for monitoring operation data of a boiler and a desulfurization system, and SO (SO) 2 The removal module, industrial analysis and elemental analysis comprise analysis of moisture, ash, volatile matters and C, H, O, N, S element content; the intelligent regulation and control module adopts a data acquisition, model operation, strategy analysis and automatic regulation and control operation mode; the on-line monitoring module collects, stores and transmits information to the on-line monitoring moduleAn intelligent regulation module; SO (SO) 2 The removal module comprises a desulfurizing tower main body and an accessory device. The intelligent operation control system for multi-parameter coupling wet desulfurization solves the technical problem that the pH value of circulating slurry is regulated and controlled with data feedback lag, and avoids the defects of untimely limestone slurry replenishment and large fluctuation range of the pH value of the circulating slurry in the desulfurization operation process.

Description

Multi-parameter coupled intelligent operation control system for wet desulfurization
Technical Field
The invention relates to the technical field of wet desulfurization, in particular to a multi-parameter coupled intelligent operation control system for wet desulfurization.
Background
Flue Gas Desulfurization (FGD) as SO 2 The most effective means of emission control is currently available in several tens of hundreds of flue gas desulfurization technologies, but the technologies generally include wet, dry and semi-dry methods according to the dry and wet states of reactants and products. Wherein wet desulfurization is the most widely used flue gas desulfurization technology due to wide sources of desulfurizing agent raw materials and high desulfurization efficiency.
The limestone-gypsum method in wet desulfurization has the core process of slurry in a desulfurizing tower and SO in flue gas 2 Acid-base neutralization reaction occurs. The pH value of the circulating slurry of the prior desulfurization system is basically fixed between 5.3 and 5.5, SO that the SO at the inlet of the desulfurization tower caused by the change of the coal composition and the operation load is mainly dealt with by increasing or decreasing the spraying layer 2 Concentration and total content vary. However, by regulating the spraying layers, one layer of spraying is easy to occur, and the SO is discharged from the desulfurizing tower 2 The concentration is slightly higher than the emission standard, and the standard emission cannot be achieved, and one layer of spraying is added, SO that the SO is discharged from the outlet of the desulfurizing tower 2 The concentration is far lower than the emission standard, so that the system operation energy consumption is increased sharply and the like.
In addition, the pH value of circulating slurry is regulated and controlled by PID feedback in most of the current thermal power plants, and the regulation and control has the problems of delayed data feedback and the like, which easily lead to untimely limestone slurry replenishment and large fluctuation range of the pH value of the circulating slurry in the desulfurization operation process, and are difficult to regulate and control equipment timely and accurately when coal quality is changed or load fluctuates, SO that SO at the outlet of a desulfurization tower is easy to appear 2 Large fluctuation of the emission concentration, high running cost and the like.
Disclosure of Invention
The invention aims to provide a multi-parameter coupled wet desulfurization intelligent operation control system, which solves the technical problem of data feedback lag in the control of the pH value of circulating slurry and avoids the defects of untimely limestone slurry replenishment and large fluctuation range of the pH value of the circulating slurry in the desulfurization operation process.
A multi-parameter coupled wet desulfurization intelligent operation regulation and control system comprises a coal quality analysis module for carrying out industrial analysis and element analysis on coal, an intelligent regulation and control module, an on-line monitoring module for monitoring operation data of a boiler and a desulfurization system, and an SO 2 A removal module, the industrial analysis and elemental analysis including analysis of moisture, ash, volatiles, and C, H, O, N, S elemental content;
the intelligent regulation and control module comprises a data acquisition unit, a model operation unit, a strategy analysis unit and an automatic regulation and control unit which are sequentially connected, and is used for controlling SO by receiving data from the coal quality analysis module and the on-line monitoring module 2 The method comprises the steps of (1) predicting the circulating slurry amount, the pH value of the circulating slurry and the limestone slurry amount of the desulfurization system under the condition of meeting the standard emission requirement, and realizing the prediction and regulation of the related operation parameters of the circulating slurry pump and the limestone slurry pump of the desulfurization system;
the on-line monitoring module collects, stores and transmits information to the intelligent regulation and control module;
the SO 2 Removal ofThe module comprises a desulfurizing tower main body and an accessory device.
The coal quality analysis module comprises an industrial analyzer, an element analyzer, a sampler and a grinder, so as to realize sampling treatment and analysis of coal quality components.
The intelligent regulation and control module establishes SO by adopting a machine learning algorithm based on data driving and a desulfurization basic reaction mechanism 2 Generating a prediction and control model, obtaining an optimal regulation strategy based on the simulation prediction and combining a strategy analysis unit, and accurately regulating and controlling the circulating slurry pump and the limestone slurry pump by an automatic regulation unit.
The analysis logic of the strategy analysis unit is as follows:
if the predicted result shows that the N layers are needed, but the spraying amount of the N layers is only within 20 percent of the rated spraying amount of the layer, the method is carried out according to the rated spraying amount of the N-1 layer and the corresponding N-1 layer again, and the method is carried out at the outlet SO of the desulfurizing tower which is currently set 2 And predicting the pH value of the circulating slurry under the concentration, calculating the limestone slurry amount required to be supplemented for improving the pH value of the circulating slurry to the predicted value, and regulating and controlling the limestone slurry pump through an automatic regulating and controlling unit in the intelligent regulating and controlling module.
If the predicted result shows that the N layers of spraying layers are needed, but the spraying amount of the N layers of spraying layers exceeds more than 20% of the rated spraying amount of the layer, the circulating slurry pumps corresponding to the spraying layers are sequentially subjected to variable frequency regulation and control through the automatic regulation and control unit in the intelligent regulation and control module until the total spraying amount accords with the predicted value, and the variable frequency regulation and control range of each circulating slurry pump is 20% of the rated spraying amount.
The online monitoring module mainly comprises various online monitoring devices related to temperature, flue gas flow, flue gas pollutant concentration and slurry pH value, and parameters monitored in real time comprise, but are not limited to, fuel consumption, air excess coefficient, combustion temperature, total flue gas amount and SO in flue gas entering/exiting a desulfurizing tower 2 Concentration, slurry pH value, limestone slurry pump flow, circulating slurry pump flow and spray layer number.
The SO 2 The removal module comprises a desulfurizing tower main body and related auxiliary devices, and a bagIncluding a slurry pond, a spray layer, a demister, an oxidation blower pump, a circulating slurry pump and a limestone slurry pump.
The intelligent regulation and control module firstly utilizes coal quality analysis and boiler operation history data to establish smoke quantity and SO 2 Generating a concentration prediction model;
then utilize the SO 2 Removing historical operation data of a module and establishing an inlet SO 2 Concentration, smoke quantity, circulating slurry quantity, slurry pH value, spray layer quantity and outlet SO 2 A multiparameter desulfurization coupling model of the correlation between the concentrations is combined with a desulfurization reaction mechanism to determine the corresponding limestone slurry supplementing amount;
finally, SO is established through the coupling of the two models 2 A predictive and control model is generated.
The intelligent regulation and control module realizes SO 2 The precise regulation and control of the removal module needs the following steps:
step S1: the coal quality analysis module transmits the current coal quality analysis result, including the moisture content, ash content, volatile content and C, H, O, N, S element content of the coal, to the intelligent regulation and control module;
step S2: boiler and SO are collected by utilizing an on-line monitoring module 2 The main operation parameters of the removal module include, but are not limited to, fuel consumption, air excess coefficient, combustion temperature, total smoke quantity, SO in the flue gas of the desulfurizing tower inlet/outlet 2 The concentration, the pH value of the slurry, the flow of the limestone slurry pump, the flow of the circulating slurry pump and the number of spraying layers are transmitted to an intelligent regulation and control module;
step S3: adopting SO in the intelligent regulation and control module 2 Generating a prediction and control model, and setting the SO at the outlet of the desulfurizing tower at present 2 Under the conditions of concentration and pH value of the circulating slurry, predicting the required circulating slurry amount and the number of spraying layers;
step S4: based on a strategy analysis unit in the intelligent regulation and control module, analyzing the prediction result, if the prediction result shows the required N layers of spraying layers, but the spraying amount of the N layer of spraying layers is only within 20% of the rated spraying amount of the layer, re-setting the SO at the outlet of the desulfurization tower which is currently set according to the rated spraying amounts of the N-1 layer and the corresponding N-1 layer 2 Concentration ofPredicting the pH value of the circulating slurry, calculating the limestone slurry amount required by the pH value of the circulating slurry to be improved to a predicted value, and regulating and controlling the limestone slurry pump through an automatic regulating and controlling unit in an intelligent regulating and controlling module;
step S5: based on a strategy analysis unit in the intelligent regulation and control module, analyzing a prediction result, if the prediction result shows that N layers of spraying layers are needed, but the spraying amount of the Nth layer of spraying layer exceeds more than 20% of the rated spraying amount of the layer, sequentially carrying out variable frequency regulation and control on the circulating slurry pumps corresponding to each spraying layer through an automatic regulation and control unit in the intelligent regulation and control module until the total spraying amount accords with the prediction value, wherein the variable frequency regulation and control range of each circulating slurry pump is 20% of the rated spraying amount;
step S6: SO in flue gas flow and outlet flue gas of inlet of desulfurizing tower collected by on-line monitoring module 2 The concentration is mainly used for checking or feedback correction of the values of the prediction and regulation processes.
The invention has the following specific technical effects:
through the multi-parameter coupled intelligent operation control system for wet desulfurization, the prediction of key operation parameters of the desulfurization system and the intelligent control of key equipment can be realized, the intelligent accurate control level of the wet desulfurization system can be effectively improved on the basis of achieving the standard of flue gas emission, and the problem of SO at the outlet of the desulfurization tower caused by the lag of the pH value of circulating slurry and the regulation of the quantity of circulating slurry is solved 2 And the problems of large fluctuation of the emission concentration and the like can be solved, and the operation energy consumption and the operation cost of the desulfurization system can be effectively reduced.
Drawings
FIG. 1 is a schematic flow diagram of each module of the intelligent operation control system for wet desulfurization.
FIG. 2 is a schematic diagram of an SO according to the invention 2 And a schematic diagram for controlling the operation of the removal module.
Wherein: 1-a flue gas inlet; 2-a slurry pool; 3-spraying a layer; 4-a demister; 5-a flue gas outlet; 6-circulating a slurry pump I; 7-circulating a slurry pump II; 8-circulating a slurry pump III; 9-circulating a slurry pump IV; 10-an oxidation blower pump; 11-a limestone slurry pump; 12-pH sensor.
Detailed Description
In order to more clearly describe the technical characteristics of the present solution, the present solution is described below by means of specific embodiments.
The invention will be described in further detail below with reference to specific embodiments and with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical solution of the present invention, and are not intended to limit the scope of the present invention.
A multi-parameter coupled intelligent operation control system for wet desulfurization is shown in FIG. 1, and comprises a coal analysis module, an intelligent control module, an on-line monitoring module and an SO 2 And a removal module. The coal quality analysis module comprises coal quality detection devices such as an industrial analyzer and an element analyzer, and has the functions of carrying out industrial component analysis and element analysis on the coal quality entering the furnace. The intelligent regulation and control module has a series of functions of data acquisition, model operation, strategy analysis, automatic regulation and control and the like, can give an optimal regulation and control strategy according to the current coal quality and key operation parameters of a desulfurization system, and can realize accurate regulation and control of key equipment through intelligent control. The online monitoring module comprises online testing equipment such as temperature, flow, pollutant concentration, slurry pH value and the like, and can realize real-time continuous monitoring of pollutants of key parameters of boiler operation and flue gas. The SO 2 The removal module comprises a desulfurizing tower main body and auxiliary devices and equipment thereof, and is SO 2 The main sites for removal.
The coal quality analysis module is positioned at the front end of the boiler and is mainly used for carrying out industrial analysis and element analysis on coal and comprises elements such as moisture, ash, volatile matters, C, H, O, N, S and the like, and comprises an industrial analyzer, an element analyzer, a matched sampler, a grinder and the like, so that the comprehensive analysis on the coal quality components is realized, and the equipment is the prior art which is easily realized by a person skilled in the art and is not described in detail herein.
The intelligent regulation and control module mainly comprises a data acquisition unit, a model operation unit, a strategy analysis unit and an automatic regulation and control unit. The data acquisition unit is responsible for receiving, storing and preprocessing data from the coal quality analysis module and the on-line monitoring module. The model operation unit adopts machines based on neural networks and the likeSO established by learning algorithm combined with desulfurization reaction mechanism 2 Generating a prediction and control model, calculating the current operation condition, obtaining an optimal regulation strategy through a strategy analysis unit, and accurately regulating and controlling key equipment such as a circulating slurry pump, a limestone slurry pump and the like by an automatic regulation and control unit.
The on-line monitoring module is mainly used for detecting and collecting operation data of the boiler and the desulfurizing tower, and collecting, storing and transmitting information to the intelligent regulation and control module, including but not limited to fuel consumption, air excess coefficient, combustion temperature, total smoke quantity and SO in flue gas of the desulfurizing tower inlet/outlet 2 The parameters of concentration, slurry pH, limestone slurry pump flow, circulating slurry pump flow, number of spraying layers, etc., all of which can be detected by specific equipment and are not described in detail herein.
The SO 2 The removal module comprises a desulfurizing tower, an accessory device and equipment, and is SO 2 The structure of the main sites of removal is schematically shown in figure 2.
Preferably, SO 2 The removal module comprises a desulfurizing tower main body and related auxiliary devices and equipment, and comprises a flue gas inlet 1, a slurry tank 2, a spraying layer 3, a demister 4, a flue gas outlet 5, a circulating slurry pump I6, a circulating slurry pump II 7, a circulating slurry pump III 8, a circulating slurry pump IV 9, an oxidation fan pump 10, a limestone slurry pump 11 and a pH sensor 12.
The spraying layer 3 is provided with a plurality of upper layers and lower layers, and the first circulating slurry pump 6, the second circulating slurry pump 7, the third circulating slurry pump 8 and the fourth circulating slurry pump 9 are respectively connected with one layer of the spraying layer 3.
Preferably, the intelligent regulation and control module realizes the regulation and control on SO 2 The precise regulation and control of the removal module needs the following steps:
step S1: the coal quality analysis module transmits the current coal quality analysis result, including the content of elements such as moisture, ash, volatile matters and C, H, O, N, S of the coal, to the intelligent regulation and control module;
step S2: boiler and SO are collected by utilizing an on-line monitoring module 2 The main operation parameters of the removal module include, but are not limited to, fuel consumption, air excess coefficient, combustion temperature and total smokeGas amount (used for checking) and SO in flue gas at inlet/outlet of desulfurizing tower 2 Parameters such as concentration (used for checking), slurry pH value, limestone slurry pump flow, circulating slurry pump flow, spraying layer number and the like;
step S3: adopting SO in the intelligent regulation and control module 2 Generating a prediction and control model, and setting the SO at the outlet of the desulfurizing tower at present 2 Under the conditions of concentration and pH value of the circulating slurry, predicting the required circulating slurry amount and the number of spraying layers;
step S4: and analyzing the prediction result based on a strategy analysis unit in the intelligent regulation module. If the predicted result shows that the N layers are needed, but the spraying amount of the N layers is only within 20 percent of the rated spraying amount of the layer, the method is carried out according to the rated spraying amount of the N-1 layer and the corresponding N-1 layer again, and the method is carried out at the outlet SO of the desulfurizing tower which is currently set 2 Predicting the pH value of the circulating slurry under the concentration, calculating the limestone slurry amount required by the pH value of the circulating slurry to be improved to the predicted value, and regulating and controlling the limestone slurry pump 11 through an automatic regulating and controlling unit in the intelligent regulating and controlling module;
step S5: and analyzing the prediction result based on a strategy analysis unit in the intelligent regulation module. If the predicted result shows that the N layers of spraying layers are needed, but the spraying amount of the N layers of spraying layers exceeds more than 20% of the rated spraying amount of the layer, the first 6 to fourth 9 circulating slurry pumps corresponding to each spraying layer are sequentially subjected to variable frequency regulation and control through an automatic regulation and control unit in the intelligent regulation and control module, and the variable frequency regulation and control range of each circulating slurry pump is 20% of the rated spraying amount until the total spraying amount accords with the predicted value.
The technical features of the present invention that are not described in the present invention may be implemented by or using the prior art, and are not described in detail herein, but the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, but is also intended to be within the scope of the present invention by those skilled in the art.

Claims (9)

1. Multi-parameter coupled intelligent operation control system for wet desulfurizationThe device is characterized by comprising a coal quality analysis module for carrying out industrial analysis and elemental analysis on coal, an intelligent regulation and control module, an on-line monitoring module for monitoring operation data of a boiler and a desulfurization system, and SO 2 A removal module, the industrial analysis and elemental analysis including analysis of moisture, ash, volatiles, and C, H, O, N, S elemental content;
the intelligent regulation and control module comprises a data acquisition unit, a model operation unit, a strategy analysis unit and an automatic regulation and control unit which are sequentially connected, and is used for controlling SO by receiving data from the coal quality analysis module and the on-line monitoring module 2 The method comprises the steps of (1) predicting the circulating slurry amount, the pH value of the circulating slurry and the limestone slurry amount of the desulfurization system under the condition of meeting the standard emission requirement, and realizing the prediction and regulation of the related operation parameters of the circulating slurry pump and the limestone slurry pump of the desulfurization system;
the on-line monitoring module collects, stores and transmits information to the intelligent regulation and control module;
the SO 2 The removal module comprises a desulfurizing tower main body and an accessory device.
2. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 1, wherein the coal analysis module comprises an industrial analyzer, an elemental analyzer, a sampler and a grinder to realize sampling treatment and analysis of coal components.
3. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 1, wherein the intelligent control module establishes SO with a desulfurization basic reaction mechanism by adopting a data-driven machine learning algorithm 2 Generating a prediction and control model, obtaining an optimal regulation strategy based on the simulation prediction and combining a strategy analysis unit, and accurately regulating and controlling the circulating slurry pump and the limestone slurry pump by an automatic regulation unit.
4. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 3, wherein the analysis logic of the strategy analysis unit is:
if the predicted result shows that the N layers are needed, but the spraying amount of the N layers is only within 20 percent of the rated spraying amount of the layer, the method is carried out according to the rated spraying amount of the N-1 layer and the corresponding N-1 layer again, and the method is carried out at the outlet SO of the desulfurizing tower which is currently set 2 Under the concentration, the pH value of the circulating slurry is predicted, the limestone slurry amount required to be supplemented for improving the pH value of the circulating slurry to the predicted value is calculated, and then the limestone slurry pump is regulated and controlled by an automatic regulating and controlling unit in the intelligent regulating and controlling module.
5. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 3, wherein the analysis logic of the strategy analysis unit is:
if the predicted result shows that the N layers of spraying layers are needed, but the spraying amount of the N layers of spraying layers exceeds more than 20% of the rated spraying amount of the layer, the circulating slurry pumps corresponding to the spraying layers are sequentially subjected to variable frequency regulation and control through the automatic regulation and control unit in the intelligent regulation and control module until the total spraying amount accords with the predicted value, and the variable frequency regulation and control range of each circulating slurry pump is 20% of the rated spraying amount.
6. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 1, wherein the online monitoring module mainly comprises various online monitoring devices related to temperature, flue gas flow, flue gas pollutant concentration and slurry pH value, and the parameters monitored in real time comprise, but are not limited to, fuel consumption, air excess coefficient, combustion temperature, total flue gas amount and SO in flue gas entering/exiting a desulfurizing tower 2 Concentration, slurry pH value, limestone slurry pump flow, circulating slurry pump flow and spray layer number.
7. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 1, wherein the SO 2 The removal module comprises a desulfurizing tower main body, a slurry pool arranged at the bottom of the desulfurizing tower main body, and a catalyst layer arranged on the slurry poolThe desulfurizing tower comprises a desulfurizing tower body, a spraying layer at the upper end of the desulfurizing tower body and a demister arranged at the top end of the desulfurizing tower body, wherein an oxidation fan pump, a circulating slurry pump and a limestone slurry pump are arranged outside the desulfurizing tower body.
8. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 3, wherein the intelligent control module first uses coal analysis and boiler operation history data to establish flue gas and SO 2 Generating a concentration prediction model;
then utilize the SO 2 Removing historical operation data of a module and establishing an inlet SO 2 Concentration, smoke quantity, circulating slurry quantity, slurry pH value, spray layer quantity and outlet SO 2 A multiparameter desulfurization coupling model of the correlation between the concentrations is combined with a desulfurization reaction mechanism to determine the corresponding limestone slurry supplementing amount;
finally, SO is established by coupling the two models 2 A predictive and control model is generated.
9. The multi-parameter coupled wet desulfurization intelligent operation control system according to claim 1, wherein the intelligent control module is configured to perform SO control on the wet desulfurization 2 The precise regulation and control of the removal module needs the following steps:
step S1: the coal quality analysis module transmits the current coal quality analysis result, including the moisture content, ash content, volatile content and C, H, O, N, S element content of the coal, to the intelligent regulation and control module;
step S2: boiler and SO are collected by utilizing an on-line monitoring module 2 The main operation parameters of the removal module include, but are not limited to, fuel consumption, air excess coefficient, combustion temperature, total smoke quantity, SO in the flue gas of the desulfurizing tower inlet/outlet 2 The concentration, the pH value of the slurry, the flow of the limestone slurry pump, the flow of the circulating slurry pump and the number of spraying layers are transmitted to an intelligent regulation and control module;
step S3: adopting SO in the intelligent regulation and control module 2 Generating a prediction and control model, and setting the SO at the outlet of the desulfurizing tower at present 2 Concentration and circulating slurryUnder the condition of pH value, predicting the required circulating slurry amount and the number of spraying layers;
step S4: based on a strategy analysis unit in the intelligent regulation and control module, analyzing the prediction result, if the prediction result shows the required N layers of spraying layers, but the spraying amount of the N layer of spraying layers is only within 20% of the rated spraying amount of the layer, re-setting the SO at the outlet of the desulfurization tower which is currently set according to the rated spraying amounts of the N-1 layer and the corresponding N-1 layer 2 Predicting the pH value of the circulating slurry under the concentration, calculating the limestone slurry amount required by the pH value of the circulating slurry to be improved to the predicted value, and regulating and controlling the limestone slurry pump through an automatic regulating and controlling unit in the intelligent regulating and controlling module;
step S5: based on a strategy analysis unit in the intelligent regulation and control module, analyzing a prediction result, if the prediction result shows that N layers of spraying layers are needed, but the spraying amount of the Nth layer of spraying layer exceeds more than 20% of the rated spraying amount of the layer, sequentially carrying out variable frequency regulation and control on the circulating slurry pumps corresponding to each spraying layer through an automatic regulation and control unit in the intelligent regulation and control module until the total spraying amount accords with the prediction value, wherein the variable frequency regulation and control range of each circulating slurry pump is 20% of the rated spraying amount;
step S6: SO in flue gas flow and outlet flue gas of inlet of desulfurizing tower collected by on-line monitoring module 2 The concentration is mainly used for checking or feedback correction of the values of the prediction and regulation processes.
CN202211719073.7A 2022-12-30 2022-12-30 Multi-parameter coupled intelligent operation control system for wet desulfurization Pending CN116212622A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211719073.7A CN116212622A (en) 2022-12-30 2022-12-30 Multi-parameter coupled intelligent operation control system for wet desulfurization

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211719073.7A CN116212622A (en) 2022-12-30 2022-12-30 Multi-parameter coupled intelligent operation control system for wet desulfurization

Publications (1)

Publication Number Publication Date
CN116212622A true CN116212622A (en) 2023-06-06

Family

ID=86572198

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211719073.7A Pending CN116212622A (en) 2022-12-30 2022-12-30 Multi-parameter coupled intelligent operation control system for wet desulfurization

Country Status (1)

Country Link
CN (1) CN116212622A (en)

Similar Documents

Publication Publication Date Title
CN113082954B (en) Whole-process intelligent operation regulation and control system of wet desulphurization device
JP5435867B2 (en) Optimized air pollution control
JP2008511906A (en) Model predictive control of air pollution control process
JP2008512748A (en) Stepwise control of process parameter averages to desired values
CN114225662B (en) Hysteresis model-based flue gas desulfurization and denitrification optimal control method
CN112506162B (en) Oxidation air system control method based on data model and mechanism operation
CN116688754A (en) Ship flue gas desulfurization automatic control system and method thereof
CN114191953A (en) Flue gas desulfurization and denitrification control method based on convolutional neural network and XGboost
CN110681254B (en) Semidry method flue gas treatment control system based on model
CN115111594B (en) Intelligent regulation and control system and method for heat accumulating type thermal oxidation furnace
CN115309117B (en) WFGD export SO based on data drive2Concentration prediction and intelligent optimization method
CN113450880A (en) Desulfurization system inlet SO2Intelligent concentration prediction method
CN112742187A (en) Method and device for controlling pH value in desulfurization system
CN111564184A (en) Limestone-gypsum wet desulphurization SO of coal-fired power plant3Collaborative removal efficiency prediction method
CN112783115B (en) Online real-time optimization method and device for steam power system
CN116212622A (en) Multi-parameter coupled intelligent operation control system for wet desulfurization
CN110652856B (en) SNCR control system based on model
CN111450694B (en) Desulfurization system industrial controller based on multi-objective optimization and control method
CN111008735A (en) Predictive emission management system and method
CN112044270B (en) Desulfurization oxidation air system control method based on data-driven multiple models
CN114444391A (en) Oxidation fan operation optimization algorithm based on particle swarm optimization
JP2529244B2 (en) Absorption liquid circulation controller for wet flue gas desulfurization equipment
CN112415148A (en) Wet flue gas desulfurization system CaSO based on online learning3Soft measurement method
CN116173698A (en) Energy-saving wet desulfurization device
CN114429258A (en) Natural gas purification control method based on energy efficiency evaluation and online optimization platform

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination