Sectional type comprehensive treatment method for sintering flue gas

Abstract

The invention discloses a segmented comprehensive treatment method for sintering flue gas, which belongs to the technical field of energy conservation and environmental protection, and comprises the following steps: S1, dividing air boxes of a sintering machine into at least two groups along the running direction of a trolley, and enabling each group to correspond to a flue gas treatment area; s2, in each flue gas treatment area, different flue gas circulating sintering strategies are implemented according to flue gas components and sintering process requirements, and the quality of sintered ore is improved and generation of pollutants in flue gas is reduced by controlling the material distribution thickness, the air permeability and the sintering temperature; s3, carrying out simulation analysis on the sintering process by utilizing a computer simulation technology so as to determine sintering process parameters; and S4, in combination with artificial intelligence, establishing a sintering process online monitoring and control system, and adjusting sintering process parameters. According to the method, through region division, a more accurate flue gas treatment strategy can be implemented according to flue gas components and sintering process requirements of different regions, different strategies are adopted in different regions, and unnecessary treatment steps and resource waste are reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of energy conservation and environmental protection, and specifically relates to a sintering fume segmented comprehensive treatment method. Background Art

[0002] The sintering process plays a vital role in the steel production process. However, the flue gas produced by this process contains a large number of harmful substances, including sulfur dioxide (SO2), nitrogen oxides (NOx) and carbon monoxide (CO). These pollutants have caused great pressure and burden on the environment. With the continuous strengthening of environmental protection regulations and the widespread dissemination of the concept of sustainable development, how to effectively purify sintering flue gas and reduce its impact on the environment has become a key issue that the steel industry needs to solve. In past treatment practices, traditional sintering flue gas purification technologies mainly rely on single desulfurization or denitrification methods. Although these methods can reduce pollutant emissions to a certain extent, they are usually accompanied by many problems such as low treatment efficiency, huge energy consumption, high operating costs and improper solid waste treatment.

[0003] With the continuous development of technology, many innovative methods and technologies have emerged in the field of sintering flue gas treatment. These new technologies and methods aim to reduce the negative impact of sintering flue gas on the environment by improving the sintering process, improving the efficiency of flue gas purification, and promoting the recycling of resources. However, the traditional comprehensive flue gas treatment method often lacks detailed and precise control of different treatment areas in management. During the sintering process, the composition and temperature of the flue gas will change with the different sintering stages, which means that the needs for flue gas treatment in different regions are also diverse. Traditional methods usually adopt a unified flue gas treatment strategy, and cannot implement more precise and personalized flue gas treatment solutions based on the specific flue gas composition and sintering process requirements of each region. The disadvantage of this treatment strategy is that it leads to low treatment efficiency and waste of resources. Therefore, in order to improve treatment efficiency and reduce resource waste, staff need to make necessary improvements and innovations to the existing treatment methods. Summary of the invention

[0004] The purpose of the present invention is to provide a segmented comprehensive treatment method for sintering flue gas. Through regional division, a more accurate flue gas treatment strategy can be implemented according to the flue gas composition and sintering process requirements of different regions, so that different strategies can be adopted in different regions to reduce unnecessary processing steps and waste of resources.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A sintering fume segmented comprehensive treatment method comprises the following steps:

[0007] S1. Divide the wind boxes of the sintering machine into at least two groups along the running direction of the trolley, each group corresponding to a flue gas treatment area, which includes but is not limited to an ignition area, a direct discharge area, a desulfurization area, and a denitrification area;

[0008] S2. In each flue gas treatment area, different flue gas circulation sintering strategies are implemented according to the flue gas composition and sintering process requirements, and the quality of sintered ore is improved and the generation of pollutants in the flue gas is reduced by accurately controlling the cloth thickness, air permeability and sintering temperature;

[0009] S3. Use computer simulation technology to simulate and analyze the cloth thickness, air permeability, sintering temperature and flue gas circulation path during the sintering process to determine the optimal sintering process parameters;

[0010] S4. Combine artificial intelligence technology to establish an online monitoring and control system for the sintering process, collect key data in the sintering process in real time, including but not limited to the distribution status, sintering temperature and flue gas composition, and make fine adjustments to the sintering process parameters based on the data analysis results to achieve online monitoring and timely adjustment of the sintered ore quality.

[0011] Preferably, in S2, the method for accurately controlling the thickness, air permeability and sintering temperature of the fabric comprises:

[0012] (1) According to the quality requirements of sintered ore and the flue gas treatment objectives, the range of material distribution thickness is set, and accurate material distribution is achieved by automatically adjusting the material distribution equipment;

[0013] (2) Control the permeability of the sintering bed by adjusting the layout and parameters of the air bricks of the sintering machine to optimize the oxygen distribution during the sintering process;

[0014] (3) Based on the real-time monitoring data of flue gas composition and sintering temperature, the heating parameters of the sintering machine are dynamically adjusted to maintain an appropriate sintering temperature.

[0015] Preferably, in S3, the computer simulation technology includes:

[0016] (1) Establish a mathematical model of the sintering process to simulate the effects of material thickness, air permeability, sintering temperature, and flue gas circulation path on sinter quality and flue gas composition;

[0017] (2) Using high-performance computing resources, the mathematical model is solved to obtain the optimal combination of sintering process parameters.

[0018] Preferably, in S4, the artificial intelligence technology includes:

[0019] (1) Using machine learning algorithms, we can mine and analyze key data in the sintering process and establish a correlation model between sinter quality and flue gas composition;

[0020] (2) According to the prediction results of the correlation model, the sintering process parameters are automatically adjusted to optimize the sintered ore quality and reduce the generation of pollutants in the flue gas.

[0021] Preferably, the method further comprises the following steps:

[0022] S5. Real-time monitoring of flue gas composition during the sintering process, including the concentrations of SO2, NOx, and CO pollutants, and dynamic adjustment of the flue gas circulation sintering strategy based on the monitoring results to further reduce pollutant emissions.

[0023] Preferably, the method further comprises the following steps:

[0024] S6. Recover and utilize the waste heat of flue gas generated during the sintering process to improve energy utilization efficiency.

[0025] Preferably, the method for recovering and utilizing waste heat from flue gas comprises:

[0026] The heat energy in the flue gas is transferred to one of the combustion air and the sintering mixture by using a heat exchanger to increase its temperature;

[0027] The recovered heat energy is used for power generation and heating.

[0028] Preferably, the method further comprises the following steps:

[0029] S7. Recycle the solid waste generated during the sintering process to reduce environmental pollution and improve resource utilization efficiency.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] (1) The sintering machine bellows is divided into different flue gas treatment areas, such as ignition area, direct discharge area, desulfurization area and denitrification area, by dividing the sintering machine bellows into at least two flue gas treatment areas along the running direction of the trolley. Through this area division, a more accurate flue gas treatment strategy can be implemented according to the flue gas composition and sintering process requirements of different areas. The implementation of this strategy allows different treatment methods to be used in different areas, thereby reducing unnecessary treatment steps and resource waste. Specially setting up desulfurization and denitrification areas helps to efficiently remove harmful substances in the flue gas. The regional division makes it easier to control key parameters such as temperature and permeability during the sintering process, thereby improving the quality of sintered ore.

[0032] (2) By implementing different flue gas circulation sintering strategies in each flue gas treatment area, specific flue gas circulation sintering strategies are implemented in each divided flue gas treatment area according to the flue gas composition and sintering process requirements. These strategies include precise control of fabric thickness, air permeability and sintering temperature to improve the quality of sintered ore and reduce pollutant generation. By precisely controlling fabric, air permeability and temperature, the sintering process is optimized to achieve better physical and chemical properties of the sintered ore. Adjusting the sintering strategy according to the flue gas composition in different areas helps reduce the emission of harmful substances. The optimized sintering strategy allows for more complete fuel combustion and reduces energy waste.

[0033] (3) By combining artificial intelligence technology, an online monitoring and control system for the sintering process is established. Using artificial intelligence technology, key data in the sintering process, such as material distribution status, sintering temperature and flue gas composition, are collected in real time. Based on these data, the system makes fine adjustments to the sintering process parameters to achieve online monitoring and timely adjustment of the sintered ore quality. Through artificial intelligence technology, the system can automatically analyze data and adjust process parameters to reduce manual intervention. Real-time monitoring and timely adjustment ensure the stability of the sintering process and reduce the problem of unstable sintered ore quality caused by fluctuations in process parameters. Through continuous data analysis and parameter adjustment, the system can continuously optimize the sintering process, making the sintered ore higher in quality and less pollutant emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 The process of the preferred embodiment of the present invention Figure 1 ;

[0035] Figure 2 The process of the preferred embodiment of the present invention is Figure 2 ;

[0036] Figure 3 The process of the preferred embodiment of the present invention is Figure 3 ;

[0037] Figure 4 The process of the preferred embodiment of the present invention is Figure 4 . DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Embodiment 1:

[0040] See also Figure 1As shown, a sintering fume segmented comprehensive treatment method comprises the following steps:

[0041] S1. The sintering machine in this embodiment is 80 meters long, with a total of 22 wind boxes, each of which works independently. On the path of the trolley, the wind boxes of the sintering machine are divided into at least two groups, each group corresponding to a flue gas treatment area; that is, at least two flue gas treatment areas need to be set, including but not limited to the ignition area, the direct discharge area, the desulfurization area and the denitrification area;

[0042] S2. In each specific area of ​​flue gas treatment, a variety of different flue gas circulation sintering strategies are adopted and implemented according to the specific composition of the flue gas and the specific requirements of the sintering process. These strategies include precise control of fabric thickness, fine adjustment of air permeability, and precise control of sintering temperature. Through these comprehensive measures, this application aims to significantly improve the quality of sintered ore while effectively reducing the amount of pollutants generated in the flue gas;

[0043] S3. By using computer simulation technology, we can conduct in-depth simulation analysis on key factors in the sintering process, including the thickness of the cloth, air permeability, sintering temperature and flue gas circulation path. The purpose of these simulation analyses is to accurately determine the optimal sintering process parameters, thereby improving the efficiency of the sintering process and product quality;

[0044] S4. By integrating artificial intelligence technology, an online monitoring and control system for the sintering process is constructed. The system can collect key data in the sintering process in real time, which covers multiple aspects such as material distribution status, sintering temperature and flue gas composition. Based on these collected data, the system will conduct in-depth analysis and make fine adjustments to the sintering process parameters according to the analysis results. Such adjustments are aimed at achieving online monitoring of the quality of sintered ore, ensuring that any problems that may affect product quality can be discovered and adjusted in a timely manner, thereby ensuring that the quality of sintered ore is always in the best state.

[0045] In S2, the methods for accurately controlling fabric thickness, air permeability and sintering temperature include:

[0046] S201. In order to meet the quality requirements of sintered ore and achieve the goal of flue gas treatment, this application needs to set a reasonable range of material thickness. This range is set based on a deep understanding of the quality of sintered ore and flue gas emission standards. Once this range is determined, this application can use automatic adjustment of material distribution equipment to achieve precise material distribution. This precise material distribution technology can ensure that the thickness of each layer of raw materials meets the predetermined standards, thereby improving the overall quality of sintered ore and helping to reduce environmental pollution.

[0047] S202. In order to further optimize the oxygen distribution during the sintering process, the present application has taken measures to adjust the layout and parameters of the sintering machine's air bricks. Through the carefully designed air brick layout, the present application can control the permeability of the sintering bed and ensure that oxygen can be evenly distributed throughout the sintering bed. This control not only helps to improve sintering efficiency, but also reduces energy consumption and has a positive effect on improving the quality of sintered ore.

[0048] S203. In order to ensure that the flue gas composition and temperature during the sintering process are always maintained in an ideal state, the present application implements a dynamic heating parameter adjustment mechanism based on real-time monitoring data. By real-time monitoring of the flue gas composition and sintering temperature, the present application can timely understand the changes in the sintering process and dynamically adjust the heating parameters of the sintering machine accordingly. This adjustment helps to maintain a suitable sintering temperature, ensure the stability of the sintering process and the quality of the sintered ore, and is also conducive to reducing energy consumption and emissions.

[0049] In S3, computer simulation techniques include:

[0050] In the S301 stage, the goal of this application is to establish an accurate mathematical model of the sintering process. This model will comprehensively consider multiple key factors such as cloth thickness, air permeability, sintering temperature, and flue gas circulation path, and simulate the impact of these factors on sinter quality and flue gas composition to deeply understand the interaction and influence between them.

[0051] In the S302 stage, the application will use high-performance computing resources to solve the established mathematical model. Through this process, the application hopes to obtain a series of optimal sintering process parameter combinations. These parameter combinations will help guide the actual production process, ensure that the quality of the sintered ore is optimal, and meet environmental protection standards in terms of flue gas emissions.

[0052] Comprehensive evaluation model of sintering process:

[0053] Determine the assessment objectives:

[0054] The comprehensive assessment objectives of the sintering process are to improve the quality of sintered ore, reduce pollutant emissions, increase resource recovery, and reduce waste generation.

[0055] Select the evaluation metric:

[0056] According to the evaluation objectives, select indicators that can reflect the performance of the sintering process, such as sinter quality, pollutant concentration, temperature difference, resource recovery rate and waste generation rate.

[0057] Build a mathematical model:

[0058] The selected evaluation indicators are transformed into variables in the mathematical model and the relationship between them is determined.

[0059] In this formula, the sinter quality function Q sinter (t), pollutant concentration C i (t), temperature difference ΔT actual (t), resource recovery rate R j (t final ) and the waste generation rate w k (t waste ) is the key variable.

[0060] Determine weights and thresholds:

[0061] According to the importance of each evaluation indicator, determine their weight in the comprehensive evaluation.

[0062] For pollutant concentration, set the concentration threshold K i , to reflect the degree of harm of different pollutants to the environment.

[0063] For the temperature difference, set the maximum allowable sintering temperature difference ΔT max The difference between the sintering temperature and the set sintering temperature ΔT set , and introduce the weight index α to adjust the impact of temperature difference on the evaluation results.

[0064] Constructing a comprehensive evaluation index:

[0065] Combine each evaluation index through a mathematical model to form a comprehensive evaluation index E total .

[0066] In this formula, E total It is calculated by multiplying two integral terms and one continuous term. The first integral term reflects the combined impact of sinter quality and pollutant emissions, the second integral term considers the impact of pollutant concentration on the sintering process, and the continuous term reflects the impact of resource recovery rate and waste generation rate on the evaluation results.

[0067] Validate and tune the model:

[0068] The accuracy and reliability of the model are verified through experimental data and observation results of the actual sintering process.

[0069] Based on the validation results, the model is adjusted and optimized to improve its predictive ability and practicality.

[0070] This results in the following formula:

[0071]

[0072] E total It is a comprehensive evaluation index for the sintering process.

[0073] T is the sintering cycle time.

[0074] Q sinter (t) is the sinter mass function at time t.

[0075] Ci(t) is the concentration of the i-th pollutant (such as SO2, NOx, CO) at time t.

[0076] K i is the concentration threshold of the i-th pollutant.

[0077] ΔT set is the set sintering temperature difference.

[0078] ΔT actual (t) is the actual sintering temperature difference at time t.

[0079] ΔT max is the maximum allowable sintering temperature difference.

[0080] α is the weight index of the temperature difference.

[0081] R j (t final ) is the jth resource recovery rate at the end of sintering.

[0082] w k (t waste ) is the generation rate of the kth type of solid waste during the sintering process.

[0083] n, m, and p are the number of pollutant types, resource recovery types, and solid waste types, respectively.

[0084] E total The value range of is [0,+∞). The larger the value, the better the comprehensive performance of the sintering process, the higher the quality of the sintered ore and the lower the pollutant emission, the higher the resource recovery rate and the lower the waste generation rate.

[0085] In S4, AI technologies include:

[0086] (1) Using machine learning algorithms, we can mine and analyze key data in the sintering process and establish a correlation model between sinter quality and flue gas composition;

[0087] (2) According to the prediction results of the correlation model, the sintering process parameters are automatically adjusted to optimize the sintered ore quality and reduce the generation of pollutants in the flue gas.

[0088] See also Figure 2 , further comprising the following steps:

[0089] S5. Real-time monitoring of flue gas composition during the sintering process, including the concentrations of SO2, NOx, and CO pollutants, and dynamic adjustment of the flue gas circulation sintering strategy based on the monitoring results to further reduce pollutant emissions.

[0090] Flue gas circulation sintering strategy optimization model:

[0091] The construction of the flue gas circulation sintering strategy optimization model aims to find an optimal flue gas circulation method to improve the quality of sintered ore and reduce pollutant emissions. It involves the optimization of multiple variables, including flue gas circulation strategy, sintered ore quality, pollutant concentration, and strategy change rate.

[0092] Objective function selection

[0093] The objective function is the core of model optimization and reflects the goal to be maximized. In this formula, the objective function consists of two parts:

[0094] Sinter quality score: It represents the integral of the sinter quality under strategy S in the time period [0, T]. This part reflects the economy and efficiency of the sintering process.

[0095] Pollutant concentration penalty points: It represents the weighted integral of all pollutant concentrations under strategy S in the time period [0, T] multiplied by a negative weight coefficient λ. This part reflects the impact of the sintering process on the environment and the expectation of reducing pollutant emissions.

[0096] In addition, a penalty term for the strategy change rate is added: To encourage strategy stability and avoid the additional costs and uncertainties caused by frequent strategy adjustments.

[0097] Constraint setting

[0098] When building a model, some constraints need to be considered to ensure the validity and feasibility of the solution. These constraints may include:

[0099] Feasibility of flue gas recirculation strategy: Strategy S must belong to the set S of all possible flue gas recirculation sintering strategies.

[0100] Minimum requirements for sinter quality: sinter quality function Q sinter (S,t) must meet certain quality standards.

[0101] Pollutant concentration limits: The concentration of various pollutants C i (S,t) must be below a certain threshold to meet environmental protection requirements.

[0102] Application of optimization methods

[0103] To find the optimal flue gas circulation sintering strategy S opt(t), it is necessary to apply optimization methods. In this formula, the optimization problem in integral form is adopted, which can usually be solved by numerical methods (such as dynamic programming, genetic algorithm, etc.).

[0104] The specific steps are as follows:

[0105] Discretization: Discretize the continuous time period [0, T] into a series of time points for numerical calculation.

[0106] Initialization: Set the initial smoke circulation strategy set S and related parameters (such as λ, μ, etc.).

[0107] Iterative optimization: At each time point, the objective function value is calculated based on the current strategy S and parameters, and the objective function is maximized by adjusting the strategy S. This process may require multiple iterations until the optimal strategy S is found. opt (t).

[0108] Verification results: Finally, verify the optimal strategy S opt (t) Whether all constraints are met and evaluate their effectiveness in practical applications.

[0109] This results in the following formula:

[0110]

[0111] S opt (t) is the optimal flue gas circulation sintering strategy at time t.

[0112] S is the set of all possible flue gas circulation sintering strategies.

[0113] Q sinter (S,t) is the sinter quality function at time t under strategy S.

[0114] C i (S,t) is the concentration of the i-th pollutant at time t under strategy S.

[0115] λ is the weight coefficient of pollutant concentration.

[0116] μ is the penalty coefficient for the strategy change rate.

[0117] is the rate of change of strategy S over time.

[0118] S opt The value range of (t) is a subset of S, which represents the optimal flue gas circulation sintering strategy under given conditions.

[0119] See also Figure 3 , further comprising the following steps:

[0120] S6. Recover and utilize the waste heat of flue gas generated during the sintering process to improve energy utilization efficiency.

[0121] Methods for recovering and utilizing flue gas waste heat include:

[0122] The heat energy in the flue gas is transferred to one of the combustion air and the sintering mixture by using a heat exchanger to increase its temperature;

[0123] The recovered heat energy is used for power generation and heating.

[0124] See also Figure 4 , further comprising the following steps:

[0125] S7. Recycle the solid waste generated during the sintering process to reduce environmental pollution and improve resource utilization efficiency.

[0126] Flue gas waste heat recovery efficiency model:

[0127]

[0128] η recovery is the flue gas waste heat recovery efficiency.

[0129] Q heat (t) is the heat energy in the flue gas at time t.

[0130] Q loss (t) is the heat energy loss during the waste heat recovery process at time t.

[0131] β is the enhancement coefficient of resource recovery on waste heat recovery efficiency.

[0132] R j ( t ) is the recovery rate of the jth resource at time t.

[0133] η recovery The value range is [0,1]. The closer the value is to 1, the higher the flue gas waste heat recovery efficiency is.

[0134] Embodiment 2:

[0135] See also Figure 4 As shown in the figure, a practical application of a sintering flue gas segmented comprehensive treatment method is shown in the figure:

[0136] Flue gas treatment area division:

[0137] The sintering machine bellows is divided into ignition area, direct discharge area, desulfurization area and denitrification area along the running direction of the trolley.

[0138] Flue gas circulation sintering strategy implementation:

[0139] In the ignition area, an oxygen-enriched combustion strategy is adopted to improve ignition efficiency and reduce pollutant generation.

[0140] In the direct exhaust area, the sintering process is optimized and the pollutant concentration in the direct exhaust gas is reduced by adjusting the thickness and permeability of the fabric.

[0141] In the desulfurization area, wet desulfurization technology is used to effectively remove SO2 from the flue gas.

[0142] In the denitrification area, selective catalytic reduction (SCR) technology is used to reduce NOx emissions.

[0143] Application of computer simulation technology:

[0144] A mathematical model of the sintering process was established, including the effects of factors such as cloth thickness, air permeability, sintering temperature and flue gas circulation path on the sinter quality and flue gas composition.

[0145] High-performance computing resources are used to solve the mathematical model and obtain the optimal combination of sintering process parameters.

[0146] Artificial intelligence technology combined with:

[0147] Using machine learning algorithms, key data in the sintering process are mined and analyzed to establish a correlation model between sintered ore quality and flue gas composition.

[0148] According to the prediction results of the correlation model, the sintering process parameters are automatically adjusted to achieve online monitoring and timely adjustment of sintered ore quality.

[0149] Real-time monitoring and adjustment of flue gas composition:

[0150] Real-time monitoring of the concentrations of pollutants such as SO2, NOx, and CO during the sintering process, and dynamic adjustment of the flue gas circulation sintering strategy based on the monitoring results.

[0151] Flue gas waste heat recovery and utilization:

[0152] The heat exchanger is used to transfer the heat energy in the flue gas to the combustion air, thereby increasing the temperature of the combustion air and thus improving the combustion efficiency.

[0153] The recovered heat energy is partly used for power generation and partly for heating, thus improving energy efficiency.

[0154] Resource Utilization of Solid Waste:

[0155] The solid waste generated during the sintering process is classified and treated, with part of the waste being recycled as raw materials in production and part of the waste being harmlessly treated or recycled as resources.

[0156] Embodiment three:

[0157] See also Figure 4 As shown in the figure, another practical application of the sintering flue gas segmented comprehensive treatment method is as follows:

[0158] Flue gas treatment area division:

[0159] Similarly, the sintering machine bellows is divided into multiple flue gas treatment areas along the running direction of the trolley, but the specific number of areas and treatment strategies may be adjusted according to the sintering process and flue gas composition.

[0160] Flue gas circulation sintering strategy implementation:

[0161] In each flue gas treatment area, a personalized flue gas circulation sintering strategy is implemented according to the flue gas composition and sintering process requirements. For example, oxygen-poor combustion is used in some areas to reduce NOx generation, while oxygen-rich combustion is used in other areas to improve sintering efficiency.

[0162] Combination of computer simulation and artificial intelligence technology:

[0163] Build a more sophisticated mathematical model of the sintering process and solve it using advanced computing resources.

[0164] Combined with deep learning algorithms, real-time analysis and prediction of key data in the sintering process can be performed to achieve more intelligent adjustment of sintering process parameters.

[0165] Pollutant emission control and monitoring:

[0166] Monitor pollutant emissions during the sintering process in real time, and adjust the flue gas circulation sintering strategy in time according to the monitoring results to ensure that pollutant emissions meet the standards.

[0167] Energy recovery and utilization:

[0168] In terms of flue gas waste heat recovery, more efficient heat exchange technology and equipment are used to improve heat recovery efficiency.

[0169] The recovered heat energy can be used for various purposes, such as power generation, heating, hot water supply, etc., to maximize energy efficiency.

[0170] Solid waste management and resource utilization:

[0171] Establish a complete solid waste management system to classify, store, transport and treat waste.

[0172] Actively explore ways to recycle solid waste into resources, such as recycling part of the waste as raw materials for production, or converting waste into valuable resources.

[0173] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sintering fume segmented comprehensive treatment method, characterized in that: The following steps are involved: S1. Divide the wind boxes of the sintering machine into at least two groups along the running direction of the trolley, each group corresponding to a flue gas treatment area; S2. In each flue gas treatment area, different flue gas circulation sintering strategies are implemented according to the flue gas composition and sintering process requirements, and the quality of sintered ore is improved and the generation of pollutants in the flue gas is reduced by controlling the cloth thickness, air permeability and sintering temperature; S3. Use computer simulation technology to simulate and analyze the cloth thickness, air permeability, sintering temperature and flue gas circulation path during the sintering process to determine the sintering process parameters; S4. Combine artificial intelligence technology to establish an online monitoring and control system for the sintering process, collect key data in the sintering process in real time, analyze the key data, and adjust the sintering process parameters based on the data analysis results.

2. The sintering fume comprehensive treatment method according to claim 1 is characterized in that: The flue gas treatment area includes an ignition area, a direct discharge area, a desulfurization area and a denitrification area.

3. The sintering fume segmented comprehensive treatment method according to claim 1 or 2, characterized in that: The key data include cloth state, sintering temperature and flue gas composition.

4. The sintering fume comprehensive treatment method according to claim 1 is characterized in that: In S2, the methods for controlling fabric thickness, air permeability and sintering temperature include: S201. According to the quality requirements of sintered ore and the flue gas treatment objectives, set the range of material thickness and achieve precise material distribution by automatically adjusting the material distribution equipment; S202, controlling the permeability of the sintering bed by adjusting the layout and parameters of the air bricks of the sintering machine to optimize the oxygen distribution during the sintering process; S203. According to the real-time monitoring data of the flue gas composition and the sintering temperature, the heating parameters of the sintering machine are dynamically adjusted to maintain a suitable sintering temperature.

5. The sintering fume comprehensive treatment method according to claim 1 is characterized in that: In S3, the computer simulation technique comprises: S301, establishing a mathematical model of the sintering process to simulate the influence of material thickness, air permeability, sintering temperature and flue gas circulation path on the quality of sintered ore and flue gas composition; S302, using computing resources to solve the mathematical model to obtain an optimal combination of sintering process parameters.

6. The sintering fume comprehensive treatment method according to claim 1 is characterized in that: In S4, the artificial intelligence technology includes: S401. Use machine learning algorithms to mine and analyze key data in the sintering process and establish a correlation model between sinter quality and flue gas composition; S402. Automatically adjust sintering process parameters according to the prediction results of the correlation model to optimize the quality of sintered ore and reduce the generation of pollutants in the flue gas.

7. The sintering fume comprehensive treatment method according to claim 1 is characterized in that: The following steps are also included: S5. Real-time monitoring of the flue gas components during the sintering process, wherein the flue gas components include the concentrations of SO2, NOx, and CO, and dynamic adjustment of the flue gas circulation sintering strategy based on the monitoring results.

8. The sintering fume comprehensive treatment method according to claim 7 is characterized in that: The following steps are also included: S6. Recover and utilize the waste heat of flue gas generated during the sintering process to improve energy utilization efficiency.

9. The sintering fume comprehensive treatment method according to claim 8 is characterized in that: Methods for recovering and utilizing flue gas waste heat include: The heat energy in the flue gas is transferred to one of the combustion air and the sintering mixture by using a heat exchanger to increase its temperature; The recovered heat is used for electricity generation and / or heating.

10. The sintering fume comprehensive treatment method according to claim 8 or 9, characterized in that: The following steps are also included: S7. Recycle the solid waste generated during the sintering process into resources.

Images