A multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and recovery method

Abstract

The present invention relates to the technical field of catalysts, adsorbents and their applications, and in particular to a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and recovery method. The contents include: real-time monitoring of exhaust gas flow and temperature data, and calculation of heating power and energy consumption; establishing a relationship model between temperature and volatilization rate, predicting solvent volatilization, obtaining solvent volatilization rate, and calculating solvent concentration, and then dynamically updating catalyst adsorption rate; calculating solvent recovery efficiency based on catalyst adsorption rate; optimizing the overall performance of the solvent recovery system based on solvent recovery efficiency and energy consumption through a dynamic optimization algorithm based on intelligent feedback control. This solves the problem that traditional solvent recovery methods cannot be adjusted in real time according to changing factors such as the actual flow and temperature of exhaust gas, it is difficult to optimize the adsorption rate and desorption rate of the catalyst in actual operation, it is difficult to adjust system control parameters according to actual data, and it fails to balance high recovery rate and low energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of catalysts, adsorbents and their applications, and in particular to a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and a recovery method. Background Art

[0002] With the continuous advancement of industrialization, waste gas emissions are becoming increasingly serious, especially in production processes involving organic solvents, where the concentration of organic solvents in waste gas is often high. This waste gas not only causes serious environmental pollution but also poses potential risks to human health. Therefore, the recovery and reuse of organic solvents in waste gas has become an urgent environmental need. Various organic solvents are widely used in many industrial fields, such as automotive parts painting, electronics manufacturing, and chemical product production. The solvent concentrations in waste gas emissions often exceed standards, significantly impacting the environment and the lives of surrounding residents. Currently, many industries are seeking effective solvent recovery technologies to reduce environmental pollution and improve resource utilization.

[0003] Traditional solvent recovery methods typically utilize techniques such as physical adsorption, chemical adsorption, and condensation. However, these technologies often suffer from low recovery efficiency, high energy consumption, and cumbersome equipment maintenance. Especially for complex organic solvent systems, where the volatilization and recovery processes of solvent molecules are affected by multiple factors, achieving efficient recovery through a single control method is difficult. Therefore, ensuring efficient recovery while reducing energy consumption and improving the purity of recovered solvents has become a pressing challenge for current technologies.

[0004] Traditional solvent recovery methods have the following technical problems: they are unable to make real-time dynamic adjustments based on changing factors such as the actual flow rate and temperature of the exhaust gas, resulting in low recovery efficiency and serious energy waste; the adsorption rate and desorption rate of the catalyst are difficult to optimize in actual operation, which affects the solvent recovery effect and the service life of the catalyst, resulting in a high frequency of catalyst replacement and increased operating costs; operating parameters such as heating power and adsorption rate are difficult to adjust based on real-time data, resulting in problems such as reduced energy efficiency and unstable solvent purity in the solvent recovery system during long-term operation; the solvent recovery system has failed to achieve intelligence, dynamism and efficiency, and has failed to effectively control energy consumption while ensuring a high recovery rate. Summary of the Invention

[0005] The present invention provides a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and recovery method to solve the problems that traditional solvent recovery methods cannot be dynamically adjusted in real time according to changing factors such as the actual flow rate and temperature of the exhaust gas, resulting in low recovery efficiency and serious energy waste; the adsorption rate and desorption rate of the catalyst are difficult to optimize in actual operation, thereby affecting the solvent recovery effect and the service life of the catalyst, resulting in a high frequency of catalyst replacement and increased operating costs; operating parameters such as heating power and adsorption rate are difficult to adjust according to real-time data, resulting in the solvent recovery system being prone to reduced energy efficiency and unstable solvent purity during long-term operation; the solvent recovery system fails to be made intelligent, dynamic and efficient, and energy consumption cannot be effectively controlled while ensuring a high recovery rate.

[0006] The present invention provides a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and recovery method, which specifically includes the following technical solutions:

[0007] A multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method comprises the following steps:

[0008] S1. Real-time monitoring of exhaust gas flow and temperature data. Calculation of heating power and energy consumption using a dynamic energy balance model based on heating power and thermal conductivity. Establishment of a relationship model between temperature and volatilization rate based on temperature data to predict solvent volatilization and calculate solvent volatilization rate.

[0009] S2. Based on the solvent volatilization rate, the solvent concentration is calculated; based on the solvent concentration, the change in the catalyst adsorption rate is calculated and the catalyst adsorption rate is dynamically updated; based on the catalyst adsorption rate, the solvent recovery efficiency is calculated; based on the solvent recovery efficiency and energy consumption, the overall performance of the solvent recovery system is optimized through a dynamic optimization algorithm based on intelligent feedback control.

[0010] Preferably, the S1 specifically includes:

[0011] The dynamic energy balance model based on heating power and heat transfer coefficient dynamically adjusts the heating power based on the exhaust gas flow rate and in combination with changes in the exhaust gas temperature.

[0012] Preferably, the S1 specifically includes:

[0013] Based on the heating power, the heat transfer coefficient between the heating area and the external environment is introduced to calculate the energy consumption.

[0014] Preferably, the S1 specifically includes:

[0015] In the process of constructing the relationship model between temperature and volatilization rate, the temperature-volatilization rate coupling formula is introduced to obtain the solvent volatilization rate; the temperature-volatilization rate coupling formula is:

[0016] ,

[0017] in, It is Heating zones in The solvent evaporation rate at the time; It is The temperature of each heating zone; is the solvent volatilization temperature; is the maximum evaporation rate of the solvent; It is The temperature dependence constant of each heating zone.

[0018] Preferably, the S2 specifically includes:

[0019] Based on the solvent concentration, the adsorption rate influencing factors and desorption rate influencing factors were introduced to calculate the change in the catalyst adsorption rate.

[0020] Preferably, the S2 specifically includes:

[0021] Based on the change of the catalyst adsorption rate, the catalyst adsorption rate is updated by numerical integration method.

[0022] Preferably, the S2 specifically includes:

[0023] Based on the catalyst adsorption rate and solvent concentration, the catalyst activity attenuation factor is introduced to calculate the solvent recovery efficiency; the specific formula is as follows:

[0024] ,

[0025] in, yes Solvent recovery efficiency of the solvent recovery system at all times; is the number of adsorption zones; is the factor affecting the adsorption rate; is Solvent concentration at the time; is Moment Catalyst adsorption rate in each adsorption zone; is the time step; is the catalyst activity attenuation factor; is the saturation concentration of the catalyst; is the coefficient of influence of solvent concentration on solvent recovery efficiency.

[0026] Preferably, the S2 specifically includes:

[0027] In the implementation process of the dynamic optimization algorithm based on intelligent feedback control, a weighted cost function is constructed based on the solvent recovery efficiency and energy consumption. The specific formula of the weighted cost function is:

[0028] ,

[0029] in, is a weighted cost function; and Respectively represent the time points when the optimization process starts and ends; and represent the weighted coefficients of solvent recovery efficiency and energy consumption, respectively; is the energy consumption of the solvent recovery system, which is obtained by summing the energy consumption of all heating zones.

[0030] Preferably, the S2 specifically includes:

[0031] The gradient of the weighted cost function with respect to the system control parameters, including heating power and catalyst adsorption rate, is calculated using a gradient descent algorithm. The system control parameters are adjusted based on the gradient to minimize the weighted cost function, thereby obtaining optimized system control parameters and optimizing the overall performance of the solvent recovery system.

[0032] A multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system includes the following parts:

[0033] Flow monitoring module, temperature monitoring module, multi-stage temperature control electric heating module, solvent volatilization module, catalytic adsorption module, condensation recovery module, intelligent control module;

[0034] The flow monitoring module monitors the exhaust gas flow in real time and transmits the exhaust gas flow to the multi-stage temperature-controlled electric heating module;

[0035] Temperature monitoring module: temperature sensors are installed in each heating zone and adsorption zone to monitor temperature changes; the temperature data is transmitted to the multi-stage temperature control electric heating module;

[0036] The multi-stage temperature-controlled electric heating module heats the exhaust gas to the target temperature in stages based on real-time monitoring of exhaust gas flow and temperature data. It also constructs a dynamic energy balance model based on heating power and thermal conductivity to dynamically adjust the heating power. Based on the heating power, it calculates the energy consumption. The temperature data is transmitted to the solvent volatilization module, and the heating power and energy consumption are transmitted to the intelligent control module for dynamic optimization.

[0037] The solvent volatilization module establishes a relationship model between temperature and volatilization rate based on temperature data during the solvent recovery process, describes the volatilization behavior of the solvent, and obtains the solvent volatilization rate; the solvent volatilization rate is then transmitted to the catalytic adsorption module;

[0038] The catalytic adsorption module calculates the solvent concentration based on the solvent volatilization rate; based on the solvent concentration, it introduces the adsorption rate influencing factors and the desorption rate influencing factors to dynamically adjust the catalyst adsorption rate; the solvent concentration and catalyst adsorption rate are transmitted to the condensation recovery module, and the catalyst adsorption rate is transmitted to the intelligent control module;

[0039] The condensation recovery module condenses the exhaust gas that has been heated and catalytically adsorbed to recover the solvent. Based on the catalyst adsorption rate and solvent concentration, the catalyst activity attenuation factor is introduced to calculate the catalyst recovery efficiency. The catalyst recovery efficiency is then transmitted to the intelligent control module.

[0040] The intelligent control module constructs a weighted cost function through a dynamic optimization algorithm based on intelligent feedback control, dynamically adjusts the system control parameters, and obtains the optimized system control parameters; the optimized system control parameters are passed to the multi-stage temperature-controlled electric heating module and the catalytic adsorption module.

[0041] The beneficial effects of the technical solution of the present invention are:

[0042] 1. Through the precise coordinated control of the multi-stage temperature-controlled heating device and the catalytic adsorption process, the present invention significantly improves the recovery efficiency of the solvent in the exhaust gas and accurately models the relationship between temperature and solvent volatilization rate. The solvent recovery system can adjust the temperature of the heating zone by adjusting the heating power to optimize the solvent volatilization rate, thereby effectively improving the solvent recovery rate.

[0043] 2. The present invention adopts a dynamic energy balance model based on heating power and thermal conductivity coefficient and a strategy for real-time adjustment of heating power, which can accurately control the energy consumption during the heating process; by monitoring parameters such as exhaust gas flow and temperature, the heating power is optimized in real time to avoid energy waste, thereby achieving a lower energy consumption level.

[0044] 3. The present invention can monitor important parameters such as exhaust gas flow and temperature in real time, and adjust system control parameters such as heating power and catalyst adsorption rate through a dynamic optimization algorithm based on intelligent feedback control; by constructing and optimizing a weighted cost function to dynamically adjust system control parameters, it ensures that the best recovery efficiency and energy consumption balance can be achieved under different operating conditions.

[0045] 4. The catalytic adsorption process is optimized in the present invention. Accurate mathematical modeling is used to describe the relationship between the catalyst adsorption rate and the solvent concentration, ensuring that the catalyst can achieve the maximum adsorption effect at different solvent concentrations, thereby improving the purity of the recovered solvent. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a structural diagram of a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system according to the present invention;

[0047] Figure 2 This is a flow chart of a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to the present invention. DETAILED DESCRIPTION

[0048] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0049] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0050] The specific scheme of a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and recovery method provided by the present invention is described in detail below with reference to the accompanying drawings.

[0051] Refer to the attached Figure 1 , which shows a structural diagram of a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system provided by one embodiment of the present invention. The system includes the following parts:

[0052] Flow monitoring module, temperature monitoring module, multi-stage temperature control electric heating module, solvent volatilization module, catalytic adsorption module, condensation recovery module, intelligent control module;

[0053] The flow monitoring module monitors the exhaust gas flow in real time and transmits the exhaust gas flow to the multi-stage temperature-controlled electric heating module;

[0054] Temperature monitoring module: temperature sensors are installed in each heating zone and adsorption zone to accurately monitor temperature changes; temperature data is transmitted to the multi-stage temperature control electric heating module;

[0055] The multi-stage temperature-controlled electric heating module heats the exhaust gas to the target temperature in stages based on real-time monitoring of exhaust gas flow and temperature data. It also constructs a dynamic energy balance model based on heating power and thermal conductivity to dynamically adjust the heating power. Based on the heating power, it calculates the energy consumption. The temperature data is transmitted to the solvent volatilization module, and the heating power and energy consumption are transmitted to the intelligent control module for dynamic optimization.

[0056] The solvent volatilization module, during the solvent recovery process, establishes a relationship model between temperature and volatilization rate based on temperature data, describes the solvent volatilization behavior, and obtains the solvent volatilization rate to predict the solvent volatilization situation; the solvent volatilization rate is transmitted to the catalytic adsorption module;

[0057] The catalytic adsorption module calculates the solvent concentration based on the solvent volatilization rate; uses a high-efficiency catalyst or adsorption material to adsorb and separate the solvent; introduces adsorption rate and desorption rate influencing factors based on the solvent concentration to dynamically adjust the catalyst adsorption rate; transmits the solvent concentration and catalyst adsorption rate to the condensation recovery module, and transmits the catalyst adsorption rate to the intelligent control module;

[0058] The condensation recovery module condenses the exhaust gas that has been heated and catalytically adsorbed to recover the solvent. Based on the catalyst adsorption rate and solvent concentration, the catalyst activity attenuation factor is introduced to calculate the catalyst recovery efficiency. The catalyst recovery efficiency is then transmitted to the intelligent control module.

[0059] The intelligent control module constructs a weighted cost function through a dynamic optimization algorithm based on intelligent feedback control, dynamically adjusts system control parameters such as heating power and catalyst adsorption rate, achieves the optimal balance between solvent recovery efficiency and energy consumption, and obtains optimized system control parameters; the optimized system control parameters are passed to the multi-stage temperature-controlled electric heating module and the catalytic adsorption module to maintain the optimal operating state of the system.

[0060] Refer to the attached Figure 2 , which shows a flow chart of a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method provided by one embodiment of the present invention, the method comprising the following steps:

[0061] S1. Real-time monitoring of exhaust gas flow and temperature data. Calculation of heating power and energy consumption using a dynamic energy balance model based on heating power and thermal conductivity. Establishment of a relationship model between temperature and volatilization rate based on temperature data to predict solvent volatilization and calculate solvent volatilization rate.

[0062] Real-time monitoring of important parameters such as exhaust gas flow and temperature data; exhaust gas flow reflects the exhaust gas input speed and flow state, measured by a flow meter and monitored in real time by a flow sensor. When the exhaust gas flow is large, the solvent recovery system needs to automatically adjust the heating power and the catalyst adsorption rate in the adsorption zone to ensure maximum solvent recovery efficiency. Changes in exhaust gas flow directly affect the energy efficiency and recovery effect of the solvent recovery system, so the flow sensor needs to have a high response speed and accuracy.

[0063] Temperature sensors are installed in each heating zone and adsorption zone to ensure that the temperature can be precisely controlled during the heating process. Temperature data can not only help adjust the heating power in real time, but also provide feedback on the status of exhaust gas volatilization. Temperature data is crucial for determining the solvent volatilization rate and solvent recovery efficiency of the catalytic adsorption process.

[0064] Considering the energy transfer and temperature changes of exhaust gas when passing through a multi-stage temperature-controlled electric heating device, a dynamic energy balance model based on heating power and heat conductivity is proposed to describe the heat transfer process of exhaust gas in multiple heating zones. The heating power is dynamically adjusted based on the exhaust gas flow rate and the change of exhaust gas temperature. The energy consumption is calculated based on the heating power. The specific formula of the dynamic energy balance model is:

[0065] ,

[0066] ,

[0067] in, It is Heating zones in The cumulative heating energy at the moment, in joules, is used to describe the heat required for each heating zone, indicating the Energy consumption per heating zone; is the start time of the heat transfer process; It is Heating zones in The heating power output at any moment, in watts; It is The thermal efficiency of each heating zone is used to describe the actual energy efficiency of a multi-stage temperature-controlled electric heating device. It is usually less than 1 and is determined by factors such as the device type, material properties, and temperature control accuracy. It is The heat transfer coefficient between the heating area and the external environment reflects the heat exchange efficiency between the heating area and the external environment; It is Heating zones in The temperature at the moment indicates the temperature inside the heating zone in degrees Celsius ( ); is the external ambient temperature, in units of ; It is Heating zones in The heating power output at all times; is The exhaust gas flow rate at the moment, in units of , represents the volume of exhaust gas passing through the multi-stage temperature-controlled electric heating device per second; is the exhaust gas density, in units of , which represents the mass of exhaust gas per unit volume; is the specific heat capacity of exhaust gas, in units of , indicating that the unit mass of exhaust gas increases by 1 Required calories; is the target temperature in , represents the target temperature at the end of the heating process, which is set according to expert experience; is the input temperature in units of , which indicates the initial temperature of the exhaust gas when it enters the multi-stage temperature-controlled electric heating device; Indicates changes in exhaust gas temperature.

[0068] The dynamic energy balance model can be used to calculate the heating power and energy consumption in each heating zone. By adjusting the heating power in real time, the heating effect of the multi-stage temperature-controlled electric heating device can be ensured to reach the target temperature, thereby promoting the effective separation of the solvent.

[0069] During the solvent recovery process, temperature is a key factor affecting the solvent's volatilization rate. When exhaust gas passes through a multi-stage temperature-controlled electric heating device, the temperature of each heating zone is continuously adjusted as the heating power changes, directly affecting the volatilization rate of the solvent molecules. The volatilization rate is affected by the temperature within the heating zone. As the temperature rises, the rate at which the solvent molecules transform from liquid to gas increases. Therefore, in order to more accurately describe the solvent's volatilization behavior, a relationship model between temperature and volatilization rate is established to predict the solvent's volatilization.

[0070] Specifically, the relationship between temperature and volatilization rate is not linear, but rather nonlinear. The higher the temperature, the greater the molecular kinetic energy of the solvent, and the volatilization rate increases accordingly. In the high temperature region, the volatilization rate of the solvent will tend to saturation and reach a maximum value. Therefore, in the process of constructing the relationship model between temperature and volatilization rate, the nonlinear relationship between temperature and volatilization rate is taken into account, and the temperature-volatilization rate coupling formula is introduced to describe the volatilization process of the solvent. The specific formula is:

[0071] ,

[0072] in, It is Heating zones in The solvent evaporation rate at the moment, in mol / s, represents the evaporation rate of the solvent over time, and the temperature of the heating zone Solvent evaporation temperature The difference in determines the growth rate of the volatilization rate, and the solvent volatilization temperature is calculated using existing theoretical calculation methods, such as Raoult's law; is the maximum volatilization rate of the solvent, which is a constant determined by the physical properties of the solvent and is expressed in mol / s; It is The temperature dependence constant of each heating zone represents the effect of temperature change on the volatilization rate, which is obtained through experimental measurements. According to the temperature-volatilization rate coupling formula, as the temperature of the heating zone increases, the solvent volatilization rate will increase exponentially until it reaches a maximum value.

[0073] The introduction of the temperature-evaporation rate coupling formula enables the solvent recovery system to better simulate and control the solvent volatilization process in the exhaust gas, thereby achieving higher recovery efficiency. The precise control of the heating process and the dynamic changes in the solvent volatilization rate directly determine the final solvent recovery effect.

[0074] S2. Based on the solvent volatilization rate, the solvent concentration is calculated; based on the solvent concentration, the change in the catalyst adsorption rate is calculated and the catalyst adsorption rate is dynamically updated; based on the catalyst adsorption rate, the solvent recovery efficiency is calculated; based on the solvent recovery efficiency and energy consumption, the overall performance of the solvent recovery system is optimized through a dynamic optimization algorithm based on intelligent feedback control.

[0075] Catalytic adsorption is the process of adsorbing and removing solvent molecules from exhaust gas through catalyst materials. The adsorption rate represents the relative proportion of solvent molecules that have been adsorbed on the catalyst surface in the adsorption unit. As the exhaust gas volume flow rate and solvent concentration change, the adsorption capacity of the catalyst surface will also change accordingly, so it is necessary to describe the adsorption rate of the catalyst.

[0076] The adsorption rate is linearly related to the solvent concentration. When the solvent concentration increases, the catalyst surface will quickly adsorb more solvent molecules. However, due to the limited adsorption sites on the catalyst surface, the adsorption rate is also limited by the surface adsorbable amount of the catalyst. Therefore, the adsorption rate will gradually approach 1 over time, indicating that the surface of the catalyst has been completely adsorbed; the closer to 1, the smaller the adsorption rate. On the other hand, the desorption rate of the catalyst will also affect the adsorption process. When the solvent concentration is lower than a limit, the solvent molecules that have been adsorbed on the catalyst surface will be desorbed from the catalyst surface due to thermodynamic reasons or other factors. Therefore, the change in the catalyst adsorption rate is affected by both the adsorption effect caused by the increase in solvent concentration and the desorption of solvent molecules on the catalyst surface. The change in the catalyst adsorption rate is described by the following equation:

[0077] ,

[0078] ,

[0079] in, represents the change in catalyst adsorption rate; Indicates the The adsorption zone The catalyst adsorption rate at time The proportion of solvent adsorbed at any moment; For The solvent concentration in the exhaust gas at the moment, in mol / L, represents the concentration of organic solvents in the exhaust gas; is the factor affecting the adsorption rate, which determines the adsorption rate between the solvent molecules in the exhaust gas and the catalyst and is obtained through experimental measurement; is the desorption rate influencing factor, which determines the rate at which solvent molecules desorb from the catalyst surface and is obtained through experiments; is the exhaust gas volume flow rate, obtained through experimental measurement. When the solvent concentration is high, the adsorption rate increases and the amount of solvent adsorbed on the catalyst increases; when the solvent concentration decreases, the effect of the desorption rate becomes more significant.

[0080] Substitute the change of catalyst adsorption rate into the calculation of adsorption rate to update the catalyst adsorption rate; use numerical integration method, such as Euler method or Runge-Kutta method, to convert the time step into the adsorption rate. Changes in catalyst adsorption rate under Converted into catalyst adsorption rate The updated value of is as follows:

[0081] ,

[0082] in, is Moment Catalyst adsorption rate in each adsorption zone; is the time step. Through iterative calculation, the adsorption rate evolution in the entire catalytic adsorption process is obtained.

[0083] Furthermore, because the activity of the catalyst will decay over time, it is necessary to consider the catalyst attenuation effect in the modeling of the catalytic adsorption process. To this end, the catalyst activity attenuation factor is introduced to calculate the solvent recovery efficiency. The specific formula is as follows:

[0084] ,

[0085] in, yes The solvent recovery efficiency of the solvent recovery system at any moment is used to reflect the efficiency of the entire adsorption process; is the number of adsorption zones; It is the catalyst activity attenuation factor, which gradually decreases with the increase of catalyst usage time and is obtained through periodic experiments; is the saturation concentration of the catalyst, indicating the maximum solvent concentration that the catalyst can adsorb, in mol / L, obtained through experiments; is the influence coefficient of solvent concentration on solvent recovery efficiency, which is obtained through experimental data.

[0086] To optimize the overall performance of the solvent recovery system, a dynamic optimization algorithm based on intelligent feedback control was designed. A weighted cost function was constructed based on solvent recovery efficiency and energy consumption, enabling real-time adjustment of system control parameters (such as heating power and catalyst adsorption rate). The goal of the weighted cost function is to maximize solvent recovery efficiency while minimizing energy consumption. The specific formula for the weighted cost function is:

[0087] ,

[0088] in, It is a weighted cost function that reflects the overall performance of the solvent recovery system and represents the optimization goal of the solvent recovery system in a period of time; and Respectively represent the time points when the optimization process starts and ends; and represent the weighted coefficients of solvent recovery efficiency and energy consumption, respectively, which are obtained through experiments; is the energy consumption of the solvent recovery system, which is obtained by summing the energy consumption of all heating zones.

[0089] Calculate the weighted cost function using the gradient descent algorithm System control parameters (such as heating power and catalyst adsorption rate ) and adjust the system control parameters according to the gradient to minimize the weighted cost function. The specific process is as follows:

[0090] Calculate the partial derivatives of the current weighted cost function with respect to system control parameters such as heating power and catalyst adsorption rate, and adjust the system control parameters according to the gradient information. For example, if the solvent recovery efficiency decreases, the first term in the weighted cost function The solvent recovery system can improve the recovery efficiency by increasing the heating power or optimizing the catalyst adsorption rate. At the same time, if the energy consumption increases, the second term in the weighted cost function will increase, and the solvent recovery system will reduce heating power or adjust the catalyst adsorption rate to reduce energy consumption;

[0091] Through a continuous optimization process, the solvent recovery system dynamically adjusts the system control parameters to obtain optimized system control parameters to ensure that the solvent recovery efficiency is maximized while keeping energy consumption at a minimum level. Since the weighted cost function includes weighted terms of solvent recovery efficiency and energy consumption during the time integration process, the solvent recovery system can adaptively adjust the system control parameters according to changes in real-time feedback. As the optimization process continues, the value of the weighted cost function will gradually converge to a minimum value, thereby achieving the optimal balance between solvent recovery efficiency and energy consumption. Through a dynamic optimization algorithm based on intelligent feedback control, the solvent recovery system can dynamically adjust the system control parameters according to actual operating conditions, thereby ensuring the optimal operating efficiency of the entire solvent recovery system under different operating conditions.

[0092] In summary, a multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system and recovery method have been completed.

[0093] The order in which the embodiments of the invention are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0094] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0095] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method, characterized in that: The following steps are involved: S1. Real-time monitoring of exhaust gas flow and temperature data, and the construction of a dynamic energy balance model based on heating power and thermal conductivity. Based on the exhaust gas flow and changes in exhaust gas temperature, the heating power is dynamically adjusted and energy consumption is calculated. Based on the temperature data of the heating zone, a relationship model between temperature and volatilization rate is established to predict the volatilization of the solvent and obtain the solvent volatilization rate. S2. Based on the solvent volatilization rate, the solvent concentration is calculated; based on the solvent concentration, the change in the catalyst adsorption rate is calculated and the catalyst adsorption rate is dynamically updated; based on the catalyst adsorption rate, the solvent recovery efficiency is calculated; based on the solvent recovery efficiency and energy consumption, the overall performance of the solvent recovery system is optimized through a dynamic optimization algorithm based on intelligent feedback control.

2. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 1, characterized in that: Said S1 specifically includes: Based on the heating power, the heat transfer coefficient between the heating area and the external environment is introduced to calculate the energy consumption.

3. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 2, characterized in that: Said S1 specifically includes: In the process of constructing the relationship model between temperature and volatilization rate, the temperature-volatilization rate coupling formula is introduced to obtain the solvent volatilization rate; the temperature-volatilization rate coupling formula is: ， in, It is Heating zones in The solvent evaporation rate at the time; It is The temperature of each heating zone; is the solvent volatilization temperature; is the maximum evaporation rate of the solvent; It is The temperature dependence constant of each heating zone.

4. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 1, characterized in that: Said S2 specifically includes: Based on the solvent concentration, the adsorption rate influencing factors and desorption rate influencing factors were introduced to calculate the change in the catalyst adsorption rate.

5. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 4, characterized in that: Said S2 specifically includes: Based on the change of the catalyst adsorption rate, the catalyst adsorption rate is updated by numerical integration method.

6. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 5, characterized in that: Said S2 specifically includes: Based on the catalyst adsorption rate and solvent concentration, the catalyst activity attenuation factor is introduced to calculate the solvent recovery efficiency; the specific formula is as follows: ， in, yes Solvent recovery efficiency of the solvent recovery system at all times; is the number of adsorption zones; is the factor affecting the adsorption rate; is Solvent concentration at the time; is Moment Catalyst adsorption rate in each adsorption zone; is the time step; is the catalyst activity attenuation factor; is the saturation concentration of the catalyst; is the coefficient of influence of solvent concentration on solvent recovery efficiency.

7. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 6, characterized in that: Said S2 specifically includes: In the implementation process of the dynamic optimization algorithm based on intelligent feedback control, a weighted cost function is constructed based on the solvent recovery efficiency and energy consumption. The specific formula of the weighted cost function is: ， in, is a weighted cost function; and Respectively represent the time points when the optimization process starts and ends; and represent the weighted coefficients of solvent recovery efficiency and energy consumption, respectively; is the energy consumption of the solvent recovery system, which is obtained by summing the energy consumption of all heating zones.

8. The multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 7, characterized in that: Said S2 specifically includes: The gradient of the weighted cost function with respect to the system control parameters, including heating power and catalyst adsorption rate, is calculated using a gradient descent algorithm. The system control parameters are adjusted based on the gradient to minimize the weighted cost function, thereby obtaining optimized system control parameters and optimizing the overall performance of the solvent recovery system.

9. A multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery system, applied to the multi-stage temperature-controlled electric heating catalytic adsorption solvent recovery method according to claim 1, characterized in that: Includes the following sections: Flow monitoring module, temperature monitoring module, multi-stage temperature control electric heating module, solvent volatilization module, catalytic adsorption module, condensation recovery module, intelligent control module; The flow monitoring module monitors the exhaust gas flow in real time and transmits the exhaust gas flow to the multi-stage temperature-controlled electric heating module; Temperature monitoring module: temperature sensors are installed in each heating zone and adsorption zone to monitor temperature changes; the temperature data is transmitted to the multi-stage temperature control electric heating module; The multi-stage temperature-controlled electric heating module heats the exhaust gas to the target temperature in stages based on real-time monitoring of exhaust gas flow and temperature data. It also constructs a dynamic energy balance model based on heating power and thermal conductivity to dynamically adjust the heating power. Based on the heating power, it calculates the energy consumption. The temperature data is transmitted to the solvent volatilization module, and the heating power and energy consumption are transmitted to the intelligent control module for dynamic optimization. The solvent volatilization module establishes a relationship model between temperature and volatilization rate based on temperature data during the solvent recovery process, describes the volatilization behavior of the solvent, and obtains the solvent volatilization rate; the solvent volatilization rate is then transmitted to the catalytic adsorption module; The catalytic adsorption module calculates the solvent concentration based on the solvent volatilization rate; based on the solvent concentration, it introduces the adsorption rate influencing factors and the desorption rate influencing factors to dynamically adjust the catalyst adsorption rate; the solvent concentration and catalyst adsorption rate are transmitted to the condensation recovery module, and the catalyst adsorption rate is transmitted to the intelligent control module; The condensation recovery module condenses the exhaust gas that has been heated and catalytically adsorbed to recover the solvent. Based on the catalyst adsorption rate and solvent concentration, the catalyst activity attenuation factor is introduced to calculate the solvent recovery efficiency. The solvent recovery efficiency is then transmitted to the intelligent control module. The intelligent control module constructs a weighted cost function through a dynamic optimization algorithm based on intelligent feedback control, dynamically adjusts the system control parameters, and obtains the optimized system control parameters; the optimized system control parameters are passed to the multi-stage temperature-controlled electric heating module and the catalytic adsorption module.

Images