Harmless recycling comprehensive treatment method and system for aluminum ash

Abstract

The invention relates to the technical field of environment-friendly treatment, and particularly discloses an aluminum ash harmless recycling comprehensive treatment method and system.The method comprises the steps that S1, screening parameters are set according to the physical characteristics of aluminum ash to be treated and a correlation model, screening equipment is controlled to remove large-particle impurities and metal aluminum blocks, and pretreated aluminum ash is obtained; and S2, determining washing parameters according to the content of the water-soluble salts in the pretreated aluminum ash and the correlation model, and controlling washing equipment to wash to obtain brine-containing wastewater and the aluminum ash. And S3, performing evaporative crystallization on the wastewater, dynamically adjusting parameters until no salt crystals exist, and recovering salts. S4, the pretreated aluminum ash, water and an additive are mixed and hydrolyzed in a reaction kettle according to a preset proportion, a digital twinborn model is constructed, ammonia gas is collected through a water absorption device, and recycled ammonia gas and a hydrolysis product are obtained. S5, the hydrolysate is subjected to acid leaching, a valuable metal salt solution and residues are obtained, and the residues are subjected to innocent treatment; and a complete flow of the aluminum ash from resource recycling to innocent treatment is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental protection treatment, and in particular to a method and system for the harmless resource-based comprehensive treatment of aluminum ash. Background Art

[0002] At present, with the booming development of the aluminum industry, the output of aluminum ash as solid waste generated during aluminum smelting and processing is increasing. The proper treatment of aluminum ash is crucial to the sustainable development of the aluminum industry, not only related to environmental protection, but also to the efficient use of resources. Aluminum ash contains valuable components such as metallic aluminum and alumina, as well as harmful substances such as fluoride and cyanide. If improperly handled, it will not only cause waste of resources, but also cause serious pollution to the ecological environment such as soil, water sources and air, and endanger human health. Therefore, developing a comprehensive treatment method and system for harmless resource utilization of aluminum ash to achieve the reduction, harmlessness and resource utilization of aluminum ash has become a research focus in this field. At present, conventional technologies for treating aluminum ash include physical sorting, chemical treatment, etc. Physical sorting technologies such as screening and magnetic separation are aimed at separating valuable components such as metallic aluminum in aluminum ash; chemical treatment methods such as acid leaching and alkali leaching are used to extract valuable metals in aluminum ash. However, these conventional technologies often act independently and lack systematicity and comprehensiveness. With the increasingly stringent environmental protection requirements and the popularization of the concept of resource recycling, the development of a comprehensive treatment method and system that can comprehensively and efficiently treat aluminum ash harmlessly and fully recover valuable components has broad development prospects. It can not only effectively solve the environmental problems caused by aluminum ash, but also create significant economic benefits for the aluminum industry and promote the development of the aluminum industry in a green and sustainable direction.

[0003] However, conventional treatment does not fully combine the physical characteristics and properties of aluminum ash with the relationship between the treatment process parameters, and it is impossible to accurately set the parameters of the screening equipment, making it difficult to effectively remove large-particle impurities and metal aluminum blocks, affecting the subsequent treatment effect. For the treatment of water-soluble salts in aluminum ash, the control parameters of the washing equipment are not determined based on their content and related correlation models. The washing effect is not good, which may lead to incomplete removal of water-soluble salts or excessive washing, resulting in waste of resources. When recovering salt substances by evaporation and crystallization of wastewater, there is a lack of a mechanism for dynamically adjusting the evaporation and crystallization parameters, which cannot ensure that the salt substances are fully crystallized and recovered, reducing the efficiency of resource recovery. When conducting the aluminum ash hydrolysis reaction, a digital twin model is not constructed to monitor and optimize the reaction in real time, making it difficult to accurately grasp the reaction process, which is not conducive to the efficient recovery of ammonia and hydrolysis products. The existing treatment methods fail to organically combine the various links of aluminum ash treatment to achieve a comprehensive balance between harmlessness and resource utilization. The harmless treatment of the final residue may also be imperfect, posing a risk of environmental pollution.

[0004] Therefore, the present invention proposes a method and system for the comprehensive treatment of harmless resource utilization of aluminum ash. Summary of the invention

[0005] The present invention provides a method and system for the harmless resource-based comprehensive treatment of aluminum ash. The method sets screening parameters according to the physical characteristics of aluminum ash to be treated and the correlation model between aluminum ash characteristics and treatment process parameters, removes large particle impurities and metal aluminum blocks, and accurately pre-treats to improve the efficiency of subsequent treatment and product purity. The control parameters of the water washing equipment are determined by the water-soluble salt content of aluminum ash after pre-treatment and the correlation model, and the water-soluble salts are separated by water washing. The wastewater is evaporated and crystallized and the parameters are dynamically adjusted to recover the salt substances to the maximum extent, and the salt residue in the wastewater is reduced. The pre-treated aluminum ash, water and additives are mixed according to a preset ratio for hydrolysis reaction, a digital twin model is constructed to monitor the optimization process in real time, and ammonia is recovered by a water absorption device to improve resource utilization. The hydrolysis product is acid-leached to obtain a valuable metal salt solution, and the final residue is harmlessly treated to obtain a harmless residue, realizing the complete process of aluminum ash from resource recycling to harmless treatment, which is in line with the concept of green environmental protection and sustainable development.

[0006] The present invention provides a method for the harmless resource-based comprehensive treatment of aluminum ash, comprising:

[0007] S1: setting screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and controlling the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain screened aluminum ash;

[0008] S2: Determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pretreated aluminum ash;

[0009] S3: evaporating and crystallizing the wastewater containing water-soluble salts, and dynamically adjusting the evaporation and crystallization parameters until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances;

[0010] S4: Mix the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and construct a digital twin model of the aluminum ash hydrolysis reaction. At the same time, collect ammonia generated by the hydrolysis reaction based on a water absorption device until the hydrolysis reaction no longer produces progress, and obtain recovered ammonia and hydrolysis products;

[0011] S5: acid leaching the hydrolysis product to obtain a recovered valuable metal salt solution and a final residue, and harmlessly treating the final residue to obtain a harmless residue.

[0012] Optionally, S1: setting screening parameters of a screening device based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and controlling the screening device based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain screened aluminum ash, including:

[0013] Obtaining the physical characteristics of the aluminum ash to be processed;

[0014] Establish a correlation model between aluminum ash characteristics and processing parameters;

[0015] Based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing process parameters, the aperture and vibration frequency of the screening equipment are set as the screening parameters of the screening equipment;

[0016] Based on the screening parameters, the screening equipment is controlled to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash.

[0017] Optionally, S2: determining control parameters of a water washing device based on the content of water-soluble salts in the screened aluminum ash and a correlation model between aluminum ash characteristics and treatment process parameters, and controlling the water washing device to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pretreated aluminum ash, including:

[0018] Obtaining the chemical composition of the screened aluminum ash;

[0019] Determine the content of water-soluble salts in the screened aluminum ash based on the chemical composition of the screened aluminum ash, and determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model;

[0020] Based on the corresponding control parameters, the water washing equipment is controlled to wash the screened aluminum ash with water to obtain wastewater containing water-soluble salts and pretreated aluminum ash.

[0021] Optionally, S3: evaporating and crystallizing the wastewater containing water-soluble salts, and dynamically adjusting the evaporation and crystallization parameters until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances, including:

[0022] Evaporation and crystallization of wastewater containing water-soluble salts, while monitoring the real-time crystallization rate of salt substances and the real-time distribution morphology of all crystal particles;

[0023] The evaporation crystallization parameters are dynamically adjusted based on the real-time crystallization speed of the salt substances and the real-time distribution morphology of all crystal particles until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances.

[0024] Optionally, monitor the real-time crystallization rate of salt substances and the real-time distribution morphology of all crystal particles, including:

[0025] Obtain real-time evaporation and crystallization monitoring video of wastewater, and analyze the real-time number, real-time particle size and real-time distribution of all crystal particles in the wastewater based on the image segmentation algorithm, and analyze the first real-time crystallization speed of salt substances based on the real-time number and real-time particle size of all crystal particles;

[0026] Analyze the second real-time crystallization speed of salt substances based on laser scattering method;

[0027] Analyze the third real-time crystallization rate of salt substances based on the density monitoring method;

[0028] Analyze the fourth real-time crystallization rate of salt substances based on the conductivity monitoring method;

[0029] Determining the crystallization stage of the salt substance based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the real-time distribution morphology of the salt substance;

[0030] The current contribution of each monitoring method is determined based on the crystallization stage of the salt substance, and the real-time crystallization rate of the salt substance is determined based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the current contribution of each monitoring method.

[0031] Optionally, the evaporation crystallization parameters are dynamically adjusted based on the real-time crystallization speed of the salt substance and the real-time distribution morphology of all crystal particles until the wastewater no longer crystallizes the salt substance, thereby obtaining the recovered salt substance, including:

[0032] Generate the latest spatiotemporal characteristic matrix of all crystal particles based on the real-time crystallization speed of salt substances and the real-time distribution morphology of all crystal particles;

[0033] Simulate the aggregation behavior of all crystal particles in solution based on their real-time distribution morphology and predict the critical supersaturation;

[0034] Based on the latest spatiotemporal characteristic matrix of all crystal particles, critical supersaturation and dynamic optimization model of evaporation crystallization parameters, the evaporation crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the recovered salt substances are obtained.

[0035] Optionally, based on the real-time crystallization speed of the salt substance and the real-time distribution morphology of all crystal particles, the latest spatiotemporal feature matrix of all crystal particles is generated, including:

[0036] Extract the crystallization rate characteristics of each time step based on the real-time crystallization rate of salt substances;

[0037] Determine all particle groups based on the real-time distribution morphology of all crystal particles, determine the real-time centroid position and real-time distribution range of all particle groups as the real-time position features of all crystal particles, and extract the real-time shape features of all crystal particles;

[0038] Based on the principal component analysis method and the real-time distribution morphology of all crystal particles, the principal axis directions of all crystal particles are determined as the real-time orientation characteristics of all crystal particles;

[0039] The latest spatiotemporal feature matrix of all crystal particles is generated based on the crystallization velocity characteristics of all time steps currently acquired, the real-time position characteristics, real-time shape characteristics, and real-time orientation characteristics of all crystal particles.

[0040] Optionally, S4: mixing the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and constructing a digital twin model of the aluminum ash hydrolysis reaction. At the same time, collecting ammonia generated by the hydrolysis reaction based on a water absorption device until the hydrolysis reaction no longer produces progress, and obtaining recovered ammonia and hydrolysis products, including:

[0041] The pretreated aluminum ash, water and additives are mixed in a reactor according to a preset ratio to produce a hydrolysis reaction;

[0042] At the same time, the ammonia produced by the hydrolysis reaction is collected based on the water absorption device;

[0043] At the same time, a digital twin model of the aluminum ash hydrolysis reaction is constructed based on the basic reaction parameters and reaction process parameters in the reactor, and the basic reaction parameters in the reactor are optimized and adjusted based on the digital twin model of the aluminum ash hydrolysis reaction until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained.

[0044] Optionally, S5: acid leaching the hydrolyzate to obtain a recovered valuable metal salt solution and a final residue, and performing harmless treatment on the final residue to obtain a harmless residue, comprising:

[0045] Conduct composition analysis and structural characterization on the hydrolysis products to determine the occurrence state of valuable metals;

[0046] Determining acid leaching process parameters based on the occurrence state of the valuable metals, and acid leaching the hydrolyzate based on the acid leaching process parameters to obtain a recovered valuable metal salt solution and a final residue;

[0047] The solidification process of the final residue is adjusted based on an adaptive control algorithm until the residue reaches the harmlessness standard to obtain harmless residue.

[0048] The present invention provides a system for a harmless and resource-based comprehensive treatment method of aluminum ash, comprising:

[0049] The aluminum ash screening end is used to set the screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing process parameters, and control the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash;

[0050] The aluminum ash washing end is used to determine the control parameters of the water washing equipment based on the content of water-soluble salts in the aluminum ash after screening and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pre-treated aluminum ash;

[0051] The salt evaporation and crystallization end is used to evaporate and crystallize wastewater containing water-soluble salts. At the same time, the evaporation and crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the salt substances are recovered;

[0052] The hydrolysis reaction execution monitoring end is used to mix the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and to build a digital twin model of the aluminum ash hydrolysis reaction. At the same time, the ammonia generated by the hydrolysis reaction is collected based on the water absorption device until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained;

[0053] The acid leaching, impurity removal and harmless treatment end is used to carry out acid leaching and impurity removal on the hydrolysis product to obtain the recovered valuable metal salts and the final residue, and to carry out harmless treatment on the final residue to obtain the harmless residue.

[0054] The beneficial effects of the present invention compared with the prior art are as follows: the harmless resource-based comprehensive treatment method for aluminum ash sets screening parameters according to the physical characteristics of the aluminum ash to be treated and the correlation model between the aluminum ash characteristics and the treatment process parameters, removes large particle impurities and metal aluminum blocks, and accurately pre-treats to improve the efficiency of subsequent treatment and product purity. The control parameters of the water washing equipment are determined by the water-soluble salt content of the aluminum ash after pre-treatment and the correlation model, and the water-soluble salts are separated by water washing. The wastewater is evaporated and crystallized and the parameters are dynamically adjusted to recover the salt substances to the greatest extent and reduce the salt residue in the wastewater. The pre-treated aluminum ash, water and additives are mixed according to the preset proportion to carry out the hydrolysis reaction, and a digital twin model is constructed to monitor the optimization process in real time. Ammonia is recovered by a water absorption device to improve resource utilization. The hydrolysis product is acid-leached to obtain a valuable metal salt solution, and the final residue is harmlessly treated to obtain a harmless residue, realizing the complete process of aluminum ash from resource recycling to harmless treatment, which is in line with the concept of green environmental protection and sustainable development.

[0055] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0056] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0058] Figure 1 It is a flow chart of the method for comprehensive treatment of harmless resource utilization of aluminum ash in an embodiment of the present invention;

[0059] Figure 2 It is a system schematic diagram of the comprehensive treatment method for harmless resource utilization of aluminum ash in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0061] Example 1

[0062] The present invention provides a method for the harmless resource recovery of aluminum ash. Figure 1 ,include:

[0063] S1: setting screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and controlling the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain screened aluminum ash;

[0064] S2: Determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pretreated aluminum ash;

[0065] S3: evaporating and crystallizing the wastewater containing water-soluble salts, and dynamically adjusting the evaporation and crystallization parameters until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances;

[0066] S4: Mix the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and construct a digital twin model of the aluminum ash hydrolysis reaction. At the same time, collect ammonia generated by the hydrolysis reaction based on a water absorption device until the hydrolysis reaction no longer produces progress, and obtain recovered ammonia and hydrolysis products;

[0067] S5: acid leaching the hydrolysis product to obtain a recovered valuable metal salt solution and a final residue, and harmlessly treating the final residue to obtain a harmless residue.

[0068] In this embodiment, the physical characteristics of the aluminum ash to be processed refer to the physical characteristics of the aluminum ash to be processed, including but not limited to particle size, shape, density, color, looseness, etc. These characteristics will affect the subsequent processing process. For example, the particle size and shape determine the setting of the screening equipment parameters, which helps to remove large particle impurities and metal aluminum blocks.

[0069] In this embodiment, the model for associating aluminum ash characteristics with processing parameters is a model constructed through big data analysis and machine learning algorithms, which reveals the intrinsic relationship between the physical characteristics (such as particle size and density) and chemical characteristics (such as composition and content) of aluminum ash and various process parameters (screening parameters, water washing parameters, evaporation and crystallization parameters, etc.) during the treatment process. Using this model, the processing parameters can be accurately determined based on the characteristics of aluminum ash, thereby improving the treatment effect and efficiency.

[0070] In this embodiment, the screening equipment is used to screen aluminum ash and separate large particle impurities and metal aluminum blocks from the aluminum ash to be processed. Common types include vibrating screens, which vibrate to make aluminum ash particles pass through screens of different apertures according to their size to achieve the purpose of separation, providing relatively pure aluminum ash raw materials for subsequent processing.

[0071] In this embodiment, the screening parameters of the screening equipment are set based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and are used to control the operation of the screening equipment, mainly including the aperture and vibration frequency of the screening equipment. Appropriate screening parameters can effectively remove large particle impurities and metal aluminum blocks. For example, for aluminum ash with larger particles, a larger aperture and a suitable vibration frequency need to be set to ensure the screening effect.

[0072] In this embodiment, the large particle impurities in the aluminum ash to be processed refer to the impurities in the aluminum ash to be processed that are larger in size and are not the main components of the aluminum ash, and may include stones, soil blocks, other metal blocks, etc. mixed in during the production process. These impurities will affect the effect of subsequent aluminum ash treatment and product quality, and need to be removed by screening equipment.

[0073] In this embodiment, the content of water-soluble salts in the aluminum ash after pretreatment is the content of water-soluble salt substances in the aluminum ash after screening pretreatment. Determining this content is very important for the subsequent water washing process, because the control parameters of the water washing equipment should be determined based on its content and the correlation model to effectively remove the water-soluble salts.

[0074] In this embodiment, the control parameters of the water washing equipment are determined according to the content of water-soluble salts in the aluminum ash after pretreatment and the correlation model between the aluminum ash characteristics and the processing parameters, and are used to control the working parameters of the water washing equipment, including water washing time, water washing water volume, water washing temperature, stirring speed, etc. Appropriate control parameters can ensure the effective separation of water-soluble salts while avoiding waste of resources caused by excessive water washing.

[0075] In this embodiment, the wastewater containing water-soluble salts is water that dissolves the water-soluble salts in the aluminum ash after washing the pre-treated aluminum ash. These wastewaters need to be further treated to recover the salt substances therein by evaporation and crystallization to achieve resource recycling and reduce environmental pollution.

[0076] In this embodiment, the sieved aluminum ash is the aluminum ash after the large particles of impurities and metal aluminum blocks are removed by the sieve equipment. The aluminum ash at this time is relatively pure, providing a better raw material basis for subsequent treatment processes such as water washing and hydrolysis, which is conducive to improving the overall treatment effect and product purity.

[0077] In this embodiment, evaporation crystallization parameters: in the process of evaporation crystallization of wastewater containing water-soluble salts, the parameters controlling the crystallization process can be adjusted, such as evaporation temperature, evaporation rate, stirring speed, crystallization time, etc. By dynamically adjusting these parameters, the salt substance can be fully crystallized and recovered according to the real-time crystallization speed and crystal particle distribution morphology of the salt substance.

[0078] In this embodiment, salt substances are recovered: from wastewater containing water-soluble salts, the salt substances are crystallized and precipitated by evaporation and dynamic adjustment of parameters, and the resulting products are collected. These recovered salt substances can be further utilized to achieve resource recycling and reduce waste discharge.

[0079] In this embodiment, the preset ratio is the ratio of the pre-treated aluminum ash, water, and additives when mixed in the reactor according to the chemical principle of the aluminum ash hydrolysis reaction and actual processing experience. The appropriate preset ratio helps the hydrolysis reaction to proceed fully and improves the generation efficiency and quality of ammonia and hydrolysis products.

[0080] In this embodiment, additives are auxiliary substances added to the aluminum ash hydrolysis reaction, which may promote the reaction, adjust the reaction rate, change the reaction path, or improve the purity of the product. The type and amount of specific additives need to be determined according to the characteristics of the aluminum ash and the purpose of the reaction. For example, some additives can accelerate the hydrolysis reaction rate and make the reaction more efficient.

[0081] In this embodiment, the hydrolysis reaction is a chemical reaction in which the pretreated aluminum ash, water, and additives are mixed in a reactor in a preset ratio. In this reaction, certain components in the aluminum ash react with water under the action of the additive to generate hydrolysis products and release ammonia. This is an important step in the aluminum ash treatment process and helps to further separate and recover the components in the aluminum ash.

[0082] In this embodiment, the digital twin model of the hydrolysis reaction is a virtual model constructed based on the basic reaction parameters (such as temperature, pressure, reactant concentration) and reaction process parameters (such as reaction time and product generation) in the reactor. The model corresponds to the actual hydrolysis reaction, can simulate and reflect the actual reaction process, and can optimize and adjust the basic reaction parameters in the reactor through analysis, so as to achieve precise control and optimization of the hydrolysis reaction.

[0083] In this embodiment, the water absorption device is a device for collecting ammonia generated by the hydrolysis reaction, and is designed based on the property that ammonia is easily soluble in water. Its structure and working mode can make ammonia fully contact with water and dissolve ammonia in water, thereby achieving the purpose of collecting ammonia, avoiding ammonia discharge into the environment and causing pollution, and realizing resource recovery.

[0084] In this embodiment, the ammonia generated by the hydrolysis reaction is collected by the water absorption device: when the aluminum ash hydrolysis reaction is in progress, the water absorption device works synchronously, so that the ammonia generated by the hydrolysis reaction is fully in contact with the water in the device, and the ammonia is dissolved in the water and collected. For example, by passing the ammonia into an absorption tower filled with water, the contact area and time of the ammonia and the water are increased by spraying or the like, thereby improving the ammonia collection efficiency.

[0085] In this embodiment, the hydrolysis reaction no longer produces progress: it means that as the hydrolysis reaction proceeds, when factors such as the decrease in reactant concentration and changes in reaction conditions cause the reaction rate to be extremely slow, almost no new products are generated, or the amount of product generated reaches the expectation and no longer increases significantly, it is considered that the hydrolysis reaction no longer produces progress, the reaction can be stopped and subsequent processing can be carried out.

[0086] In this embodiment, the hydrolysis product is the substance generated after the aluminum ash hydrolysis reaction is completed, and its composition and properties depend on factors such as the original composition of the aluminum ash, reaction conditions, and additives. The hydrolysis product needs to be further treated by acid leaching to extract the valuable metals therein and to render the residue harmless.

[0087] In this embodiment, the valuable metal salt solution is recovered: after the hydrolysis product is subjected to acid leaching, the valuable metal reacts with the acid and dissolves in the solution to form a solution. These solutions contain valuable metal salts that can be recycled. Through subsequent separation, purification and other processes, valuable metals can be obtained to achieve resource recycling.

[0088] In this embodiment, the final residue is the substance that does not react with acid after acid leaching of the hydrolyzed product. These residues may still contain some harmful substances and need to be treated harmlessly to ensure that they do not cause pollution to the environment.

[0089] In this embodiment, the final residue is subjected to harmless treatment to obtain harmless residue: a specific treatment process is adopted, such as adjusting the curing process based on an adaptive control algorithm, adding a curing agent to the residue and controlling relevant parameters (such as temperature, time, etc.), so that the harmful substances in the residue are fixed or converted into a harmless form, meeting the harmlessness standard, and obtaining a harmless residue that does not pollute the environment.

[0090] Example 2

[0091] On the basis of Example 1, S1: setting screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and controlling the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash, including:

[0092] Obtaining the physical characteristics of the aluminum ash to be processed;

[0093] Establish a correlation model between aluminum ash characteristics and processing parameters;

[0094] Based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing process parameters, the aperture and vibration frequency of the screening equipment are set as the screening parameters of the screening equipment;

[0095] Based on the screening parameters, the screening equipment is controlled to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash.

[0096] In this embodiment, the physical properties of the aluminum ash to be processed are obtained: In this embodiment, obtaining the physical properties of the aluminum ash to be processed is an important beginning, which provides a basis for subsequent processes, as follows:

[0097] Particle characteristics: Size: Use a particle size analyzer to determine the size and distribution of aluminum ash particles through laser scattering or screening principles. This is critical for setting the screening aperture, such as determining the sieve aperture size based on the particle size range to separate large particle impurities.

[0098] Shape: Use a microscope or image analysis to determine the shape of aluminum ash particles. Irregular shapes may affect screening, and the vibration frequency needs to be adjusted to ensure the effect.

[0099] Density characteristics: Using a density meter to measure the density of aluminum ash based on the Archimedean principle can assist in determining the composition and is also used in gravity separation processes.

[0100] Flowability characteristics: Observe the flow of aluminum ash in a specific device, such as measuring the outflow time or flow rate through a funnel to evaluate the fluidity. Poor fluidity may require pretreatment to facilitate subsequent processing.

[0101] Looseness characteristics: The looseness is determined by measuring the porosity or bulk density under natural stacking. The looseness affects the contact and reaction efficiency of aluminum ash with other substances.

[0102] In this embodiment, a correlation model between aluminum ash characteristics and processing parameters is established: Establishing a correlation model between aluminum ash characteristics and processing parameters is a key step in the precision of the entire aluminum ash processing process. First, a large amount of aluminum ash sample data from different sources and batches needs to be collected. These data cover various physical properties (such as particle size distribution, density, shape, etc.) and chemical properties (such as chemical composition and content, such as the proportion of aluminum oxide, metallic aluminum, water-soluble salts, etc.) of aluminum ash.

[0103] Then, we use big data analysis technology to deeply mine these massive data to find out the potential rules and relationships between the characteristics of aluminum ash and different processing parameters. For example, the analysis found that aluminum ash of a certain particle size range can more effectively separate large particles of impurities and metal aluminum blocks under a specific screening aperture and vibration frequency; or aluminum ash of a certain chemical composition has the best removal effect of water-soluble salts under specific washing time, temperature and water volume conditions.

[0104] Then, these data and the mined rules are learned and modeled with the help of machine learning algorithms. Common algorithms such as linear regression, decision trees, neural networks, etc., can accurately reflect the quantitative or qualitative relationship between aluminum ash characteristics and processing parameters by continuously training and optimizing models. The association model finally constructed can predict the most suitable processing parameters based on the input aluminum ash characteristic data, providing strong support for the precise control of subsequent aluminum ash processing procedures. In this embodiment, the aperture and vibration frequency of the screening equipment are the key parameters for controlling the screening effect. The aperture determines the maximum size of particles that can pass through the screen, and the vibration frequency affects the movement state and screening efficiency of the aluminum ash particles on the screen.

[0105] The selection of aperture should be based on the physical characteristics of the aluminum ash to be processed and the established correlation model between the aluminum ash characteristics and the processing parameters. If the large impurities and metal aluminum blocks to be removed from the aluminum ash to be processed are large in size, the correlation model will indicate the selection of a screen with a larger aperture to ensure that these large particles can be intercepted and separated; conversely, if the impurity particles are relatively small, a screen with a smaller aperture should be selected to achieve finer screening to ensure that the aluminum ash particle size after pretreatment meets the requirements of subsequent processing.

[0106] The vibration frequency is equally important. The appropriate vibration frequency can make the aluminum ash particles evenly distributed on the screen and constantly jump, promote small particles to pass through the screen holes, and avoid particles blocking the screen. If the vibration frequency is too low, the aluminum ash particles will not move sufficiently, which may lead to low screening efficiency and some small particles will not be able to pass through the screen in time; while if the vibration frequency is too high, the aluminum ash particles may jump too violently, which is also not conducive to the screening effect and may even cause damage to the screening equipment. For example, for aluminum ash with larger particles and better fluidity, the vibration frequency can be appropriately increased to speed up the screening speed; for aluminum ash with greater viscosity or smaller particles that are easy to agglomerate, it is necessary to select a relatively low and stable vibration frequency to ensure the smooth progress of the screening. In short, accurately adjusting the aperture and vibration frequency of the screening equipment according to the characteristics of aluminum ash can effectively remove large particle impurities and metal aluminum blocks, improve the quality of aluminum ash after pretreatment, and lay a good foundation for subsequent processing links.

[0107] Example 3

[0108] On the basis of Example 1, S2: based on the content of water-soluble salts in the screened aluminum ash and the correlation model between the aluminum ash characteristics and the treatment process parameters, the control parameters of the water washing equipment are determined, and based on the corresponding control parameters, the water washing equipment is controlled to wash the screened aluminum ash with water to obtain wastewater containing water-soluble salts and pretreated aluminum ash, including:

[0109] Obtaining the chemical composition of the screened aluminum ash;

[0110] Determine the content of water-soluble salts in the screened aluminum ash based on the chemical composition of the screened aluminum ash, and determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model;

[0111] Based on the corresponding control parameters, the water washing equipment is controlled to wash the screened aluminum ash with water to obtain wastewater containing water-soluble salts and pretreated aluminum ash.

[0112] In this embodiment, obtaining the chemical composition of the aluminum ash after screening is a key step in subsequent processing. A variety of chemical analysis methods will be used, such as X-ray fluorescence spectroscopy (XRF) in spectral analysis technology, to quickly determine the types and approximate contents of elements contained in the aluminum ash, and understand the proportions of the main elements such as aluminum, iron, and calcium; chemical titration is used to accurately and quantitatively analyze specific components, such as alumina content; and chromatographic analysis may also be used to detect organic components. These methods can comprehensively and accurately obtain the chemical composition of the aluminum ash after screening, providing a basis for determining the content of water-soluble salts and selecting treatment processes.

[0113] After clarifying the chemical composition of the aluminum ash after screening, the content of water-soluble salts in it can be determined. First, identify the components that may exist in the form of water-soluble salts based on the chemical composition, such as sodium chloride, potassium chloride, etc. Then use a suitable experimental method to determine. For example, for chloride salts, dissolve the aluminum ash sample in deionized water, stir to completely dissolve the water-soluble salts, and then titrate with a silver nitrate standard solution by precipitation titration, and calculate the chloride content based on the volume of the consumed standard solution. For other water-soluble salts, select specific analytical methods for quantitative determination to accurately determine the content of water-soluble salts, providing an important basis for determining the water-washing process parameters.

[0114] After the water-soluble salt content in the sieved aluminum ash is known, the control parameters of the water washing equipment are determined by combining the pre-established aluminum ash characteristics and treatment process parameter association model. The association model is constructed by big data analysis and machine learning algorithms, reflecting the relationship between aluminum ash characteristics (water-soluble salt content) and water washing process parameters. For example, if the association model shows that when the water-soluble salt content is high, a longer water washing time, a larger water washing volume, and an appropriate increase in the water washing temperature and stirring speed are required to effectively remove it, then based on the current water-soluble salt content, the corresponding water washing time, water washing water volume, water washing temperature, stirring speed and other control parameters are obtained from the association model to ensure that water washing can fully remove water-soluble salts and avoid waste of resources or excessive water washing that affects subsequent processing.

[0115] According to the control parameters of the washing equipment determined from the correlation model, the washing equipment is started and operated to wash the screened aluminum ash. The washing equipment runs according to the set washing time, keeps the corresponding washing water volume in contact with the aluminum ash, controls the washing temperature, and fully mixes the aluminum ash and water at the specified stirring speed. During the process, the water-soluble salts in the aluminum ash gradually dissolve in water. After the washing is completed, the wastewater containing water-soluble salts is separated by solid-liquid separation means such as filtration or precipitation, and the aluminum ash after washing to remove the water-soluble salts becomes pre-treated aluminum ash, providing suitable raw materials for subsequent further treatments such as hydrolysis reactions.

[0116] Example 4

[0117] On the basis of Example 1, S3: evaporating and crystallizing the wastewater containing water-soluble salts, and dynamically adjusting the evaporation and crystallization parameters until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances, including:

[0118] Evaporation and crystallization of wastewater containing water-soluble salts, while monitoring the real-time crystallization rate of salt substances and the real-time distribution morphology of all crystal particles;

[0119] The evaporation crystallization parameters are dynamically adjusted based on the real-time crystallization speed of the salt substances and the real-time distribution morphology of all crystal particles until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances.

[0120] In this embodiment, evaporation and crystallization of wastewater containing water-soluble salts is an important step in realizing the recycling of salt substances. The water in the wastewater is gradually evaporated by heating and other means. As the solvent is reduced, the concentration of the salt substances increases, and crystallization begins after reaching a supersaturated state. This process requires precise control to ensure that the salts can be efficiently and purely crystallized and recycled.

[0121] The real-time crystallization rate of salt substances refers to the rate at which salt substances crystallize over time during the evaporation and crystallization process. It is a key indicator for evaluating the progress of the crystallization process and optimizing the process. The real-time crystallization rate is not constant and is affected by many factors, such as evaporation temperature, solution concentration, stirring speed, etc. By monitoring the crystallization rate in real time, the process parameters can be adjusted in time to keep the crystallization process in the best state. For example, when the crystallization rate is too slow, the evaporation temperature can be appropriately increased or the stirring speed can be adjusted to speed up the crystallization.

[0122] The real-time distribution of all crystal particles describes the spatial distribution of all crystal particles of salt that are crystallizing in the solution at a certain moment during the evaporation and crystallization process. This includes information such as the degree of aggregation of crystal particles, uniformity of dispersion, and position in the solution. The real-time distribution of crystal particles will affect the quality and efficiency of crystallization. For example, if the distribution of crystal particles is uneven, it may lead to large differences in local supersaturation, affecting the consistency of crystal growth and, in turn, the quality of recovered salt substances. By monitoring the real-time distribution, the evaporation and crystallization parameters can be dynamically adjusted to obtain a more ideal crystallization effect.

[0123] Example 5

[0124] Based on Example 4, the real-time crystallization rate of the salt substance and the real-time distribution morphology of all crystal particles are monitored, including:

[0125] Obtain real-time evaporation and crystallization monitoring video of wastewater, and analyze the real-time number, real-time particle size and real-time distribution of all crystal particles in the wastewater based on the image segmentation algorithm, and analyze the first real-time crystallization speed of salt substances based on the real-time number and real-time particle size of all crystal particles;

[0126] Analyze the second real-time crystallization speed of salt substances based on laser scattering method;

[0127] Analyze the third real-time crystallization rate of salt substances based on the density monitoring method;

[0128] Analyze the fourth real-time crystallization rate of salt substances based on the conductivity monitoring method;

[0129] Determining the crystallization stage of the salt substance based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the real-time distribution morphology of the salt substance;

[0130] The current contribution of each monitoring method is determined based on the crystallization stage of the salt substance, and the real-time crystallization rate of the salt substance is determined based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the current contribution of each monitoring method.

[0131] In this embodiment, the real-time evaporation and crystallization monitoring video of wastewater refers to a video that continuously records the evaporation and crystallization status of wastewater using a camera installed at a suitable position during the evaporation and crystallization process of wastewater containing water-soluble salts. This video provides intuitive visual data for subsequent analysis, which helps to grasp the changes in crystal particles during the crystallization process in real time.

[0132] Analyzing the real-time number, real-time particle size and real-time distribution of all crystal particles in wastewater based on image segmentation algorithm means using a special image segmentation algorithm to process each frame of the real-time evaporation crystallization monitoring video. The image segmentation algorithm can separate the crystal particles in the image from the background, and by measuring and analyzing the segmented image, the number of all crystal particles in the wastewater at that moment, the particle size of each crystal particle, and their distribution state in the solution, such as whether they are evenly dispersed or locally aggregated, can be obtained.

[0133] The first real-time crystallization speed of the salt substance is analyzed based on the real-time number and real-time particle size of all crystal particles. The crystallization speed is calculated by using the change of the number and particle size of crystal particles over time. As the crystallization process proceeds, the number of crystal particles will increase and the particle size will also increase. By obtaining the real-time number and real-time particle size data of crystal particles at different time points, calculating the increase in the number of crystal particles and the change in particle size per unit time, the first real-time crystallization speed of the salt substance in the time period is obtained, which reflects the crystallization rate obtained based on image analysis.

[0134] The second real-time crystallization rate of salt substances is analyzed based on the laser scattering method. It is a measurement based on the principle of laser scattering. When the laser is irradiated on wastewater containing crystallizing salts, the salt crystal particles will scatter the laser. The intensity, angle and other characteristics of the scattered light are collected and analyzed through a specific laser scattering detection device. Based on the relevant physical models and algorithms, these scattering characteristics are converted into the crystallization rate of the salt substances, and the second real-time crystallization rate of the salt substances is obtained, which provides information about the crystallization rate from another perspective.

[0135] The third real-time crystallization rate of salt substances is analyzed based on the density monitoring method, which uses the change in wastewater density during the salt crystallization process to infer the crystallization rate. As salt substances continue to crystallize, the salt content in the wastewater gradually decreases, and the density of the solution changes accordingly. By installing a high-precision density sensor in the evaporation crystallization equipment, the density change of the wastewater is monitored in real time. According to the pre-established relationship model between density and crystallization rate, the density change data is converted into the crystallization rate of the salt substance, that is, the third real-time crystallization rate is obtained, which provides another dimension of data support for understanding the crystallization process.

[0136] The fourth real-time crystallization rate of salt substances is analyzed based on the conductivity monitoring method because the dissolution and crystallization process of salts in water will significantly affect the conductivity of the solution. During the evaporation and crystallization process, the conductivity sensor is used to measure the changes in the conductivity of the wastewater in real time. Since conductivity is closely related to the ion concentration of salts in the solution, and the ion concentration is closely related to the crystallization process of salts, with the help of relevant theories and algorithms, the conductivity change data is converted into the crystallization rate of salt substances, thereby obtaining the fourth real-time crystallization rate, providing more reference for a comprehensive understanding of the crystallization rate.

[0137] Determining the crystallization stage of salt substances based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the real-time distribution form of salt substances is to judge the crystallization stage by comprehensive data from various aspects. Different crystallization stages (such as nucleation stage, crystal growth stage, stable stage, etc.) have different characteristics, and the ability of each monitoring method to reflect the crystallization rate at different stages is different. For example, in the nucleation stage, the first real-time crystallization rate obtained based on the image segmentation algorithm may better reflect the characteristics of the rapid increase in the number of crystals; while in the crystal growth stage, the second real-time crystallization rate obtained by the laser scattering method may better reflect the growth of the crystal particle size. By comprehensively analyzing the four crystallization rate data and the real-time distribution form of crystal particles (such as the relatively sparse distribution of crystal particles in the nucleation stage and the rapid increase in number, the gradually dense distribution in the growth stage and the increase in particle size, etc.), using relevant crystallization theories and data analysis methods, the current crystallization stage of salt substances can be more accurately determined.

[0138] The current contribution of each monitoring method is determined based on the crystallization stage of salt substances because the data provided by each monitoring method is of different importance to the accurate description of the crystallization rate at different crystallization stages. For example, in the nucleation stage at the beginning of crystallization, the image segmentation algorithm may be the most critical for determining the crystallization rate, because the change in the number of crystal particles at this time is an important basis for judging the crystallization rate, so the contribution of the first real-time crystallization rate obtained based on the image segmentation algorithm at this stage may be higher; while in the crystal growth stage, the laser scattering method may have a relatively higher contribution because it can more accurately reflect the growth of crystal particle size. By analyzing the correlation and importance of the data of each monitoring method at different crystallization stages and the actual crystallization process, the contribution ratio of each monitoring method to determining the crystallization rate at the current crystallization stage, that is, the current contribution, is determined.

[0139] Determining the real-time crystallization rate of salt substances based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the current contribution of each monitoring means is a method of comprehensively considering the data of multiple monitoring means. According to the contribution of each monitoring means in the current crystallization stage, the four real-time crystallization rate data are weighted. For example, if the first real-time crystallization rate contribution is w1, the second real-time crystallization rate contribution is w2, the third real-time crystallization rate contribution is w3, and the fourth real-time crystallization rate contribution is w4, and w1+w2+w3+w4=1, then the real-time crystallization rate of salt substances V=w1×V1+w2×V2+w3×V3+w4×V4, where V1, V2, V3, and V4 are the first, second, third, and fourth real-time crystallization rates, respectively. The real-time crystallization rate obtained in this way can more comprehensively and accurately reflect the actual crystallization rate of salt substances at the current moment, and provide a more reliable basis for dynamically adjusting the evaporation crystallization parameters.

[0140] Example 6

[0141] On the basis of Example 4, the evaporation crystallization parameters are dynamically adjusted based on the real-time crystallization speed of the salt substance and the real-time distribution morphology of all crystal particles until the wastewater no longer crystallizes the salt substance, thereby obtaining the recovered salt substance, including:

[0142] Generate the latest spatiotemporal characteristic matrix of all crystal particles based on the real-time crystallization speed of salt substances and the real-time distribution morphology of all crystal particles;

[0143] Simulate the aggregation behavior of all crystal particles in solution based on their real-time distribution morphology and predict the critical supersaturation;

[0144] Based on the latest spatiotemporal characteristic matrix of all crystal particles, critical supersaturation and dynamic optimization model of evaporation crystallization parameters, the evaporation crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the recovered salt substances are obtained.

[0145] In this embodiment, the latest spatiotemporal feature matrix of all crystal particles is a comprehensive data set that integrates various feature information of crystal particles from the time and space dimensions. The time dimension includes the crystallization velocity characteristics of each time step extracted based on the real-time crystallization velocity of salt substances, reflecting the change of crystallization velocity; the space dimension covers the real-time position characteristics determined by the real-time distribution morphology of crystal particles (such as the centroid position and distribution range of all particle groups), real-time shape characteristics, and real-time orientation characteristics obtained by determining the main axis direction through principal component analysis. These characteristics are arranged in order to form a matrix, which comprehensively records the dynamic information of crystal particles during the evaporation and crystallization process, and provides a data basis for subsequent simulation, prediction and optimization.

[0146] Using the real-time distribution morphology data of crystal particles monitored in real time, physical models and computer simulation technology are used to simulate the aggregation behavior of crystal particles in solution, understand their mutual approach, binding and movement trajectory, and predict the state of the solution reaching critical supersaturation based on the simulation results and crystallization physical and chemical theory.

[0147] Critical supersaturation is a key parameter for crystallization. When the solution reaches this state, crystals begin to form in large quantities. Accurate prediction helps to grasp the crystallization node, adjust the evaporation crystallization parameters, achieve precise control, and improve the efficiency and quality of salt recovery. The aggregation behavior of all crystal particles in the solution refers to the dynamic process in which the crystal particles in the solution are affected by intermolecular forces, surface tension, etc., interact, approach and combine to form larger aggregates. This process has an important impact on crystallization and final crystal morphology, size, purity, etc., such as the arrangement of crystal particles during aggregation affects the growth direction and speed, and then affects the quality of recovered salts. Studying it helps to understand the crystallization mechanism and optimize the evaporation crystallization process. Critical supersaturation is an important concept in the solution crystallization process. When the solution is saturated, the solute has a tendency to crystallize, but it is usually necessary to exceed a certain saturation, that is, the critical supersaturation crystal to form a large number of spontaneously. It is the turning point from the stable state of the solution to the rapid growth state of the crystal, which is affected by various factors such as solute type, temperature, and impurity content. In this embodiment, accurately predicting the critical supersaturation is critical to controlling the evaporation crystallization process. When approaching this state, timely adjusting parameters can promote crystals to crystallize under suitable conditions to avoid affecting the quality of salt recovery.

[0148] The dynamic optimization model of evaporation and crystallization parameters is a model built based on a variety of data and algorithms. It takes the latest spatiotemporal characteristic matrix of all crystal particles, critical supersaturation and other data as input, and analyzes the difference between the current crystallization state and the ideal state through preset algorithms and rules. For example, according to the growth rate and distribution uniformity of the crystal particles and the relationship with the critical supersaturation, the evaporation and crystallization parameters that need to be adjusted (evaporation temperature, rate, stirring speed, crystallization time, etc.) are calculated. The model is iteratively optimized based on the new real-time data and the parameters are continuously adjusted to ensure the optimal evaporation and crystallization process, efficiently recover salt substances and improve product quality.

[0149] The crystal particle state information and predicted critical supersaturation data contained in the latest spatiotemporal characteristic matrix of all crystal particles are input into the dynamic optimization model of evaporation crystallization parameters, and the model calculates the current appropriate evaporation crystallization parameter adjustment plan based on this. If the analysis shows that the crystal particles grow slowly and are unevenly distributed, and there is a gap from the critical supersaturation, it may be recommended to increase the evaporation temperature and speed up the stirring speed. The parameters of the evaporation crystallization equipment are dynamically adjusted according to the model plan. During the process, the state of the crystal particles and the crystallization of the salts are continuously monitored, and the new data is fed back to the model for a new round of adjustments. This cycle continues until no salt crystals are precipitated in the wastewater, and the recovered salt substances are obtained, thereby achieving precise control of the evaporation crystallization process and efficient recovery of salts.

[0150] Example 7

[0151] On the basis of Example 6, the latest spatiotemporal feature matrix of all crystal particles is generated based on the real-time crystallization speed of the salt substance and the real-time distribution morphology of all crystal particles, including:

[0152] Extract the crystallization rate characteristics of each time step based on the real-time crystallization rate of salt substances;

[0153] Determine all particle groups based on the real-time distribution morphology of all crystal particles, determine the real-time centroid position and real-time distribution range of all particle groups as the real-time position features of all crystal particles, and extract the real-time shape features of all crystal particles;

[0154] Based on the principal component analysis method and the real-time distribution morphology of all crystal particles, the principal axis directions of all crystal particles are determined as the real-time orientation characteristics of all crystal particles;

[0155] The latest spatiotemporal feature matrix of all crystal particles is generated based on the crystallization velocity characteristics of all time steps currently acquired, the real-time position characteristics, real-time shape characteristics, and real-time orientation characteristics of all crystal particles.

[0156] In this embodiment, the crystallization rate characteristics of each time step are extracted based on the real-time crystallization rate of the salt substance, which means that when observing the evaporation and crystallization process of the salt substance, a fixed time interval is used as a time step. For each time step, information that can reflect the characteristics of the change of the crystallization rate during this period is extracted from the real-time crystallization rate data, such as the average crystallization rate, which reflects the average rate of salt crystallization in this time step; or the rate of change of the crystallization rate, which is used to show the change of the crystallization rate in this time step compared with the previous time step. These extracted information constitute the crystallization rate characteristics of each time step, which is helpful for analyzing the dynamic change of the crystallization rate over time.

[0157] Determining all particle groups based on the real-time distribution morphology of all crystal particles is to analyze the distribution of crystal particles of salts that are crystallizing in the solution. Since the distribution of crystal particles in the solution is not completely uniform, there will be some relatively concentrated areas, and the crystal particles in these areas can be regarded as a particle group. Through the observation and analysis of the real-time distribution morphology, the crystal particles in the entire solution are divided into different particle groups based on factors such as the spatial position relationship and the similarity of the motion state between the crystal particles, so as to further study the behavioral characteristics of the crystal particles in different local areas.

[0158] Determine the real-time center of mass position and real-time distribution range of all particle groups, and calculate the center of mass position for each divided particle group. The center of mass is the average position of the particle group in space, which is obtained by calculating the weighted average of the positions of all crystal particles in the particle group. It can reflect the approximate position of the particle group in the solution. At the same time, determine the distribution range of the particle group in the solution. For example, with the center of mass as the center, measure the distance of the crystal particle farthest from the center of mass in the particle group to define the extension range of the particle group in all directions. The two parameters of real-time center of mass position and real-time distribution range can help understand the real-time spatial state of each particle group in the solution, and provide important information for analyzing the aggregation and diffusion behaviors of crystal particles.

[0159] Extracting the real-time shape features of all crystal particles is to observe and analyze the appearance of each crystal particle and obtain information that can describe its shape characteristics. Common shape features include circularity, which is used to measure the degree of closeness of the shape of crystal particles to a circle; aspect ratio, which reflects the size ratio of crystal particles in two main directions; and some other shape parameters, such as surface roughness, which describe the shape of crystal particles from different angles. By extracting these real-time shape features, we can understand the changes in the growth morphology of crystal particles during the crystallization process, as well as the characteristics of crystal growth under different conditions, which is of great significance for understanding the crystallization mechanism and optimizing the evaporation crystallization process.

[0160] Based on principal component analysis and the real-time distribution form of all crystal particles, the principal component analysis is a data dimension reduction method, which can extract the most important information from complex data. In this embodiment, in combination with the real-time distribution form data of all crystal particles, the principal component analysis is used to find the direction that can explain the data variance to the greatest extent, and this direction is the principal axis direction of all crystal particles. The principal axis direction of crystal particles reflects their overall arrangement trend, which is important for understanding the aggregation and growth mode of crystal particles in solution. For example, the principal axis direction may be associated with some physical fields (such as electric field, flow field, etc.) in the solution, affecting the growth direction and final form of the crystal.

[0161] Based on the crystallization velocity characteristics of all time steps currently acquired, the real-time position characteristics, real-time shape characteristics, and real-time orientation characteristics of all crystal particles, the latest spatiotemporal feature matrix of all crystal particles is generated, and the crystallization velocity characteristics collected at different time steps during the evaporation crystallization process, as well as the real-time position characteristics (center of mass position and distribution range), real-time shape characteristics (circularity, aspect ratio, etc.) and real-time orientation characteristics (main axis direction) of all crystal particles at the corresponding moment are integrated. A matrix is ​​constructed with time steps as rows and different types of features as columns. This matrix comprehensively records the spatiotemporal variation information of crystal particles during the evaporation crystallization process, displays the dynamic changes of crystallization velocity from the time dimension, and presents the position, shape, and orientation characteristics of crystal particles from the spatial dimension, providing a rich data foundation for further analyzing the behavior of crystal particles, predicting the crystallization process, and optimizing evaporation crystallization parameters.

[0162] Example 8

[0163] On the basis of Example 1, S4: mixing the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and constructing a digital twin model of the aluminum ash hydrolysis reaction. At the same time, ammonia generated by the hydrolysis reaction is collected based on a water absorption device until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained, including:

[0164] The pretreated aluminum ash, water and additives are mixed in a reactor according to a preset ratio to produce a hydrolysis reaction;

[0165] At the same time, the ammonia produced by the hydrolysis reaction is collected based on the water absorption device;

[0166] At the same time, a digital twin model of the aluminum ash hydrolysis reaction is constructed based on the basic reaction parameters and reaction process parameters in the reactor, and the basic reaction parameters in the reactor are optimized and adjusted based on the digital twin model of the aluminum ash hydrolysis reaction until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained.

[0167] In this embodiment, the pretreated aluminum ash, water, and additives are mixed in a reactor according to a preset ratio to produce a hydrolysis reaction, which means that the ratio of the three substances mixed with each other is determined in advance according to the chemical principle of aluminum ash hydrolysis and the actual processing requirements. Afterwards, the pretreated aluminum ash, an appropriate amount of water, and a specific additive are placed in the reactor according to a predetermined ratio. Under the appropriate environment (such as specific temperature and pressure conditions) provided by the reactor, a hydrolysis reaction will occur between them, prompting certain components in the aluminum ash to react chemically with water under the action of the additive, generating hydrolyzates and releasing ammonia, which is a key step in the aluminum ash processing process, and lays the foundation for subsequent recovery of ammonia and further processing of hydrolyzates.

[0168] The basic reaction parameters in the reactor include temperature, pressure, reactant concentration, etc. Temperature affects the reaction rate and direction. Different aluminum ash hydrolysis reactions may require a specific temperature range to ensure efficient reaction. Pressure also affects the reaction. Appropriate pressure helps maintain the stability of the reaction. The reactant concentration determines the amount of substances involved in the reaction, which directly affects the reaction process and the amount of product generated.

[0169] The reaction process parameters include reaction time, product generation and other data. The reaction time records the time from the beginning to the different stages of the reaction, and the product generation directly reflects the results of the reaction at each stage. These parameters together reflect the real-time status of the aluminum ash hydrolysis reaction in the reactor.

[0170] The digital twin model of aluminum ash hydrolysis reaction is constructed based on the basic reaction parameters and reaction process parameters in the reactor. It is to use the collected data such as temperature, pressure, reactant concentration, reaction time, product generation, etc., through computer simulation and related algorithms, to create a virtual model corresponding to the actual aluminum ash hydrolysis reaction. This model can simulate the dynamic changes of various parameters in the actual reaction process and the mutual influence between them. For example, the model can simulate how the product generation changes with the reaction time according to the input initial reaction basic parameters, and how the changes in temperature and pressure affect this process, thereby providing a powerful tool for in-depth understanding and optimization of the reaction.

[0171] Optimizing and adjusting the basic reaction parameters in the reactor based on the digital twin model of the aluminum ash hydrolysis reaction means using the digital twin model's simulation and analysis capabilities for the reaction process to find out the problems or optimization space under the current basic reaction parameter settings. For example, if the model simulation shows that the product generation rate is slow or the generation amount does not meet expectations at the current temperature and reactant concentration, then the basic reaction parameters such as temperature, pressure or reactant concentration in the reactor can be adjusted in a targeted manner based on the model analysis results. By continuously re-inputting the adjusted parameters into the model for simulation verification and repeated optimization, the basic reaction parameters in the reactor are optimally configured, thereby improving the efficiency and product quality of the aluminum ash hydrolysis reaction, and achieving precise control and optimization of the aluminum ash hydrolysis reaction process.

[0172] Example 9

[0173] Based on Example 1, S5: acid leaching the hydrolyzate to obtain a recovered valuable metal salt solution and a final residue, and harmlessly treating the final residue to obtain a harmless residue, including:

[0174] Conduct composition analysis and structural characterization on the hydrolysis products to determine the occurrence state of valuable metals;

[0175] Determining acid leaching process parameters based on the occurrence state of the valuable metals, and acid leaching the hydrolyzate based on the acid leaching process parameters to obtain a recovered valuable metal salt solution and a final residue;

[0176] The solidification process of the final residue is adjusted based on an adaptive control algorithm until the residue reaches the harmlessness standard to obtain harmless residue.

[0177] In this embodiment, the composition analysis and structural characterization of the hydrolyzate to determine the occurrence state of the valuable metals is to use a variety of analytical techniques, such as X-ray diffraction (XRD) to determine the crystal structure and phases contained in the hydrolyzate, so as to understand the type of compound in which the valuable metals are located; scanning electron microscope (SEM) to observe the microscopic morphology to clarify the distribution of the valuable metals in the hydrolyzate; chemical analysis methods to determine the content of each element to accurately know the content ratio of the valuable metals. Through these analyses, it is fully determined what kind of compound the valuable metals exist in, what position they are in the microstructure of the hydrolyzate, and other occurrence states, providing a key basis for the subsequent extraction of valuable metals.

[0178] The acid leaching process parameters are determined based on the occurrence state of the valuable metals because different occurrence states require different acid leaching conditions to effectively extract the valuable metals. If the valuable metals exist in the form of less soluble compounds, it may be necessary to select a more acidic and more concentrated acid as a leaching agent, while appropriately increasing the acid leaching temperature and extending the acid leaching time; if its occurrence form is relatively easy to react with acid, milder acid leaching conditions can be used. In addition, parameters such as stirring speed must also be considered to ensure that the acid and hydrolysis products are fully in contact and react, ensuring that while the valuable metals are efficiently extracted, the increased costs caused by excessive reactions and the adverse effects on subsequent treatments are avoided.

[0179] Based on the acid leaching process parameters, the hydrolyzate is acid-leached to obtain a recovered valuable metal salt solution and a final residue, which is to place the hydrolyzate in an acid leaching environment with set parameters for reaction. According to the selected type and concentration of the acid leaching agent, under the conditions of determined temperature, time and stirring speed, the acid reacts chemically with the valuable metals in the hydrolyzate, dissolving the valuable metals into the solution to form a recovered valuable metal salt solution. The part of the hydrolyzate that does not react with the acid is retained as the final residue, achieving the initial separation of the valuable metals from other impurities, and preparing for the subsequent further purification of the valuable metals and treatment of the residue.

[0180] The curing process of the final residue is adjusted based on the adaptive control algorithm until the residue reaches the harmless standard and the harmless residue is obtained. The adaptive control algorithm is used to automatically adjust the relevant parameters of the curing process according to the current characteristics of the final residue (such as composition, stability, etc.). The algorithm will monitor the state of the residue in real time and compare it with the harmless standard. If it is found that the content of certain harmful substances in the residue exceeds the standard or the stability does not meet the requirements, the type and amount of the curing agent, as well as the curing temperature, time and other parameters will be automatically changed. By continuously adjusting these parameters, the final residue is cured so that the harmful substances in the residue are fixed or converted into a harmless form. Continuous optimization is carried out until the residue meets the harmless standard, thereby obtaining harmless residue that does not pollute the environment.

[0181] In this embodiment, the harmless standard refers to a series of specifications and requirements set for the final residue, which is used to determine whether the residue does not pose a hazard to the environment and human health. These standards cover many aspects, such as restrictions on the content of heavy metals in the residue, stipulating that the leaching concentration of heavy metals such as lead, mercury, and cadmium must be lower than a specific value to prevent them from entering the soil, water bodies and other environments and causing pollution; requirements for the stability of the residue to ensure that the residue will not easily decompose or release harmful substances under natural environmental conditions; and restrictions on other physical and chemical properties of the residue, such as the pH value, to ensure that it meets environmental safety indicators. Only residues that meet these standards are identified as harmless residues and can be safely disposed of or reused.

[0182] Example 10

[0183] Based on Examples 1 to 9, a system for a harmless and resource-based comprehensive treatment method for aluminum ash is provided. Figure 2 ,include:

[0184] The aluminum ash screening end is used to set the screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing process parameters, and control the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash;

[0185] The aluminum ash washing end is used to determine the control parameters of the water washing equipment based on the content of water-soluble salts in the aluminum ash after screening and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pre-treated aluminum ash;

[0186] The salt evaporation and crystallization end is used to evaporate and crystallize wastewater containing water-soluble salts. At the same time, the evaporation and crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the salt substances are recovered;

[0187] The hydrolysis reaction execution monitoring end is used to mix the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and to build a digital twin model of the aluminum ash hydrolysis reaction. At the same time, the ammonia generated by the hydrolysis reaction is collected based on the water absorption device until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained;

[0188] The acid leaching, impurity removal and harmless treatment end is used to carry out acid leaching and impurity removal on the hydrolysis product to obtain the recovered valuable metal salts and the final residue, and to carry out harmless treatment on the final residue to obtain the harmless residue.

[0189] This harmless resource-based comprehensive treatment method for aluminum ash sets screening parameters based on the physical characteristics of the aluminum ash to be treated and the correlation model between the characteristics of the aluminum ash and the treatment process parameters, removes large-particle impurities and metal aluminum blocks, and accurately pre-treats to improve the efficiency of subsequent treatment and product purity. The control parameters of the water washing equipment are determined by the water-soluble salt content and correlation model of the aluminum ash after pretreatment, and the water-soluble salts are separated by water washing. The wastewater is evaporated and crystallized and the parameters are dynamically adjusted to recover the salt substances to the greatest extent and reduce the salt residue in the wastewater. The pre-treated aluminum ash, water and additives are mixed according to the preset proportion for hydrolysis reaction, and a digital twin model is constructed to monitor the optimization process in real time. Ammonia is recovered by a water absorption device to improve resource utilization. The hydrolysis product is acid-leached to obtain a valuable metal salt solution, and the residue is finally harmlessly treated to obtain a harmless residue, realizing the complete process of aluminum ash from resource recycling to harmless treatment, which is in line with the concept of green environmental protection and sustainable development.

[0190] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. A method for the harmless resource recovery of aluminum ash, characterized in that: include: S1: setting screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and controlling the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain screened aluminum ash; S2: Determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pretreated aluminum ash; S3: evaporating and crystallizing the wastewater containing water-soluble salts, and dynamically adjusting the evaporation and crystallization parameters until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances; S4: Mix the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and construct a digital twin model of the aluminum ash hydrolysis reaction. At the same time, collect ammonia generated by the hydrolysis reaction based on a water absorption device until the hydrolysis reaction no longer produces progress, and obtain recovered ammonia and hydrolysis products; S5: acid leaching the hydrolysis product to obtain a recovered valuable metal salt solution and a final residue, and harmlessly treating the final residue to obtain a harmless residue.

2. The method for harmless resource utilization of aluminum ash according to claim 1 is characterized in that: S1: Setting the screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing parameters, and controlling the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash, including: Obtaining the physical characteristics of the aluminum ash to be processed; Establish a correlation model between aluminum ash characteristics and processing parameters; Based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing process parameters, the aperture and vibration frequency of the screening equipment are set as the screening parameters of the screening equipment; Based on the screening parameters, the screening equipment is controlled to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash.

3. The method for harmless resource utilization of aluminum ash according to claim 1 is characterized in that: S2: Determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pretreated aluminum ash, including: Obtaining the chemical composition of the screened aluminum ash; Determine the content of water-soluble salts in the screened aluminum ash based on the chemical composition of the screened aluminum ash, and determine the control parameters of the water washing equipment based on the content of water-soluble salts in the screened aluminum ash and the correlation model; Based on the corresponding control parameters, the water washing equipment is controlled to wash the screened aluminum ash with water to obtain wastewater containing water-soluble salts and pretreated aluminum ash.

4. The method for harmless resource utilization of aluminum ash according to claim 1 is characterized in that: S3: Evaporating and crystallizing the wastewater containing water-soluble salts, and dynamically adjusting the evaporation and crystallization parameters until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances, including: Evaporation and crystallization of wastewater containing water-soluble salts, while monitoring the real-time crystallization rate of salt substances and the real-time distribution morphology of all crystal particles; The evaporation crystallization parameters are dynamically adjusted based on the real-time crystallization speed of the salt substances and the real-time distribution morphology of all crystal particles until the wastewater no longer crystallizes salt substances, thereby obtaining recovered salt substances.

5. The method for harmless resource utilization of aluminum ash according to claim 4 is characterized in that: Monitor the real-time crystallization rate of salt substances and the real-time distribution morphology of all crystal particles, including: Obtain real-time evaporation and crystallization monitoring video of wastewater, and analyze the real-time number, real-time particle size and real-time distribution of all crystal particles in the wastewater based on the image segmentation algorithm, and analyze the first real-time crystallization speed of salt substances based on the real-time number and real-time particle size of all crystal particles; Analyze the second real-time crystallization speed of salt substances based on laser scattering method; Analyze the third real-time crystallization rate of salt substances based on the density monitoring method; Analyze the fourth real-time crystallization rate of salt substances based on the conductivity monitoring method; Determining the crystallization stage of the salt substance based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the real-time distribution morphology of the salt substance; The current contribution of each monitoring method is determined based on the crystallization stage of the salt substance, and the real-time crystallization rate of the salt substance is determined based on the first real-time crystallization rate, the second real-time crystallization rate, the third real-time crystallization rate, the fourth crystallization rate and the current contribution of each monitoring method.

6. The method for harmless resource utilization of aluminum ash according to claim 4 is characterized in that: Based on the real-time crystallization speed of the salt substances and the real-time distribution morphology of all crystal particles, the evaporation crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the recovered salt substances are obtained, including: Generate the latest spatiotemporal characteristic matrix of all crystal particles based on the real-time crystallization speed of salt substances and the real-time distribution morphology of all crystal particles; Simulate the aggregation behavior of all crystal particles in solution based on their real-time distribution morphology and predict the critical supersaturation; Based on the latest spatiotemporal characteristic matrix of all crystal particles, critical supersaturation and dynamic optimization model of evaporation crystallization parameters, the evaporation crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the recovered salt substances are obtained.

7. The method for harmless resource utilization of aluminum ash according to claim 6 is characterized in that: Based on the real-time crystallization speed of salt substances and the real-time distribution morphology of all crystal particles, the latest spatiotemporal feature matrix of all crystal particles is generated, including: Extract the crystallization rate characteristics of each time step based on the real-time crystallization rate of salt substances; Determine all particle groups based on the real-time distribution morphology of all crystal particles, determine the real-time centroid position and real-time distribution range of all particle groups as the real-time position features of all crystal particles, and extract the real-time shape features of all crystal particles; Based on the principal component analysis method and the real-time distribution morphology of all crystal particles, the principal axis directions of all crystal particles are determined as the real-time orientation characteristics of all crystal particles; The latest spatiotemporal feature matrix of all crystal particles is generated based on the crystallization velocity characteristics of all time steps currently acquired, the real-time position characteristics, real-time shape characteristics, and real-time orientation characteristics of all crystal particles.

8. The method for harmless resource utilization of aluminum ash according to claim 1 is characterized in that: S4: The pretreated aluminum ash, water, and additives are mixed in a reactor according to a preset ratio to produce a hydrolysis reaction, and a digital twin model of the aluminum ash hydrolysis reaction is constructed. At the same time, ammonia generated by the hydrolysis reaction is collected based on a water absorption device until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained, including: The pretreated aluminum ash, water and additives are mixed in a reactor according to a preset ratio to produce a hydrolysis reaction; At the same time, the ammonia produced by the hydrolysis reaction is collected based on the water absorption device; At the same time, a digital twin model of the aluminum ash hydrolysis reaction is constructed based on the basic reaction parameters and reaction process parameters in the reactor, and the basic reaction parameters in the reactor are optimized and adjusted based on the digital twin model of the aluminum ash hydrolysis reaction until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained.

9. The method for harmless resource utilization of aluminum ash according to claim 1 is characterized in that: S5: acid leaching the hydrolysis product to obtain a recovered valuable metal salt solution and a final residue, and performing harmless treatment on the final residue to obtain a harmless residue, including: Conduct composition analysis and structural characterization on the hydrolysis products to determine the occurrence state of valuable metals; Determining acid leaching process parameters based on the occurrence state of the valuable metals, and acid leaching the hydrolyzate based on the acid leaching process parameters to obtain a recovered valuable metal salt solution and a final residue; The solidification process of the final residue is adjusted based on an adaptive control algorithm until the residue reaches the harmlessness standard to obtain harmless residue.

10. A system for the harmless resource-based comprehensive treatment of aluminum ash according to any one of claims 1 to 9, characterized in that: include: The aluminum ash screening end is used to set the screening parameters of the screening equipment based on the physical characteristics of the aluminum ash to be processed and the correlation model between the aluminum ash characteristics and the processing process parameters, and control the screening equipment based on the screening parameters to remove large particle impurities and metal aluminum blocks in the aluminum ash to be processed to obtain the screened aluminum ash; The aluminum ash washing end is used to determine the control parameters of the water washing equipment based on the content of water-soluble salts in the aluminum ash after screening and the correlation model between the aluminum ash characteristics and the treatment process parameters, and control the water washing equipment to wash the screened aluminum ash based on the corresponding control parameters to obtain wastewater containing water-soluble salts and pre-treated aluminum ash; The salt evaporation and crystallization end is used to evaporate and crystallize wastewater containing water-soluble salts. At the same time, the evaporation and crystallization parameters are dynamically adjusted until the wastewater no longer crystallizes salt substances, and the salt substances are recovered; The hydrolysis reaction execution monitoring end is used to mix the pretreated aluminum ash, water, and additives in a reactor according to a preset ratio to produce a hydrolysis reaction, and to build a digital twin model of the aluminum ash hydrolysis reaction. At the same time, the ammonia generated by the hydrolysis reaction is collected based on the water absorption device until the hydrolysis reaction no longer produces progress, and the recovered ammonia and hydrolysis products are obtained; The acid leaching, impurity removal and harmless treatment end is used to carry out acid leaching and impurity removal on the hydrolysis product to obtain the recovered valuable metal salts and the final residue, and to carry out harmless treatment on the final residue to obtain the harmless residue.

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