A cyclone separator performance prediction and operation optimization method based on temperature property correction

Abstract

The application discloses a cyclone separator performance prediction and operation optimization method based on temperature property correction, relates to the technical field of gas-solid separation equipment performance prediction and operation optimization, and comprises the following steps: obtaining target working condition parameters and gas property parameters, calculating a temperature property correction coefficient, a Reynolds number correction coefficient, a sample real efficiency correction coefficient and a sample real pressure drop correction coefficient; building a correction coefficient prediction model based on a normalized inlet velocity; solving a predicted separation efficiency and a predicted pressure drop in combination with a benchmark working condition performance, and then obtaining a comprehensive performance evaluation index; and traversing multiple groups of inlet velocities, and selecting an inlet velocity corresponding to a maximum value of the comprehensive performance evaluation index as an optimal inlet velocity. Through multidimensional temperature property non-dimensional correction, the application solves the problem of large performance prediction deviation of the cyclone separator under a high-temperature working condition, can quickly determine the optimal inlet velocity, reduces field test cost, and takes into account dust removal efficiency and equipment operation energy consumption.

Description

Technical Field

[0001] This invention relates to the field of performance prediction and operation optimization technology for gas-solid separation equipment, and more specifically to a method for performance prediction and operation optimization of cyclone separators based on temperature property correction. Background Technology

[0002] Cyclone separators are a typical type of gas-solid separation equipment, characterized by simple structure, stable operation, high temperature resistance, and convenient maintenance. They are widely used in industrial processes such as flue gas dust removal from coal-fired boilers, tail gas purification from industrial kilns, chemical particle separation, metallurgical flue gas treatment, gas-solid separation in biomass pyrolysis, and catalytic cracking. The separation performance of a cyclone separator is typically influenced by factors such as inlet velocity, gas temperature, gas density, dynamic viscosity, particle size, internal swirling intensity, and equipment structural parameters.

[0003] In actual industrial operation, cyclone separators possess high-temperature resistance, making them suitable for both ambient-temperature dusty gas treatment and high-temperature gas applications. As gas temperature increases, physical properties such as gas density, specific heat, dynamic viscosity, and thermal conductivity change significantly. Specifically, a decrease in gas density alters the inlet dynamic pressure and pressure drop, while changes in dynamic viscosity affect gas flow resistance, particle flow characteristics, and separation efficiency. Using empirical models based solely on ambient temperature conditions or relying solely on inlet velocity for performance prediction fails to accurately reflect the variations in cyclone separator separation efficiency and pressure drop at different temperatures.

[0004] Existing methods for predicting cyclone separator performance mostly focus on empirical correlations under ambient temperature conditions, or directly obtain separation efficiency and pressure drop under specific conditions through numerical simulation. However, for predicting cyclone separator performance under multiple temperature and inlet velocity conditions, the following shortcomings still exist: (1) Existing methods do not adequately consider the changes in gas properties caused by temperature, and it is difficult to reflect the impact of changes in parameters such as density and viscosity on separation efficiency and pressure drop under high temperature conditions; (2) Conventional empirical models mostly predict absolute efficiency and pressure drop directly, and lack temperature correction methods that use the reference temperature as a reference. (3) Existing methods usually evaluate separation efficiency or pressure drop separately, and lack comprehensive performance evaluation indicators that take into account both separation benefits and flow resistance costs; (4) Existing methods make it difficult to quickly determine the optimal operating conditions of a cyclone separator based on the target temperature and inlet velocity.

[0005] Therefore, how to predict the separation efficiency, pressure drop and overall performance of cyclone separators under different temperatures and inlet velocities, and further determine the optimal inlet velocity or operating range, is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, and in view of the shortcomings of existing cyclone separator performance prediction methods that are difficult to accurately reflect the impact of temperature property changes on separation efficiency and pressure drop, this invention provides a cyclone separator performance prediction and operation optimization method based on temperature property correction, which is particularly suitable for predicting and evaluating the separation efficiency, pressure drop and overall operating performance of cyclone separators under different temperature conditions, as well as optimizing the inlet velocity.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A method for predicting the performance and optimizing the operation of a cyclone separator based on temperature property correction includes the following steps: S1. Obtain the target operating condition parameters of the cyclone separator, the gas physical property parameters at the target temperature, and the gas physical property parameters at the reference temperature; S2. Based on the gas property parameters corresponding to the target temperature and the reference temperature, calculate the temperature property correction coefficient; combine the target operating condition parameters to calculate the inlet Reynolds number and the Reynolds number correction coefficient; take the reference operating condition performance at the same inlet velocity as a reference to calculate the sample true efficiency correction coefficient and the sample true pressure drop correction coefficient. S3. Based on the normalized inlet velocity and various correction coefficients obtained in S2, a prediction model for the efficiency correction coefficient and the pressure drop correction coefficient is built. S4. Substitute the temperature property correction coefficient, Reynolds number correction coefficient, and normalized inlet velocity of the working condition to be predicted into the prediction model to obtain the prediction efficiency correction coefficient and the prediction pressure drop correction coefficient. Combine the performance parameters of the benchmark working condition with the same inlet velocity to solve the prediction separation efficiency and prediction pressure drop of the working condition to be predicted. S5. Calculate the comprehensive performance evaluation index based on the predicted separation efficiency and predicted pressure drop; S6. Under the same target temperature, traverse multiple sets of inlet velocities and calculate the comprehensive performance evaluation index for each set. Take the inlet velocity corresponding to the maximum value of the index as the preferred inlet velocity under the target temperature.

[0008] Optionally, in S1, the target operating condition parameters include gas temperature. and inlet speed The gas physical properties at the target temperature include those at a temperature of [temperature value missing]. gas density at time Specific heat capacity of gas at constant pressure Dynamic viscosity and thermal conductivity Reference temperature The following gas physical properties include temperature. gas density at time Specific heat capacity of gas at constant pressure Dynamic viscosity and thermal conductivity .

[0009] Optionally, in S2, the temperature property correction factor includes the density correction factor. Specific heat correction coefficient Viscosity correction factor and thermal conductivity correction factor The specific calculation formula is as follows:

[0010] Based on the temperature property correction coefficient, the changes in gas properties at different temperatures are transformed into dimensionless correction parameters.

[0011] Optional, in S2, the inlet Reynolds number The calculation formula is:

[0012] Based on reference temperature Same inlet speed Inlet Reynolds number under certain conditions For reference, construct Reynolds number correction coefficients. :

[0013] in, The hydraulic diameter of the rectangular inlet of the cyclone separator is calculated according to the following relationship:

[0014] In the formula: , These represent the length and height of the rectangular inlet of the cyclone separator, respectively.

[0015] Optional, in S2, the sample true efficiency correction coefficient. Correction factor for actual pressure drop of the sample The calculation formula is:

[0016] In the formula: Indicates gas temperature , entrance speed Separation efficiency at that time Indicates reference temperature Same inlet speed Separation efficiency at that time; Indicates gas temperature , entrance speed Pressure drop at time, Indicates reference temperature Same inlet speed Pressure drop at that time.

[0017] Optionally, in S3, a prediction model for the efficiency correction coefficient and the pressure drop correction coefficient is built, specifically as follows: For the inlet speed Normalization is performed to obtain the normalized inlet velocity. :

[0018] In the formula: Reference inlet velocity; In the wide protection mode, the efficiency correction coefficient Pressure drop correction factor They can be represented as:

[0019] in, and The predictive relationships established from the sample working condition data are obtained using multiple regression, response surface fitting, interpolation models, lookup table models, or semi-empirical correlation formulas.

[0020] Optionally, in S4, the prediction separation efficiency of the operating condition to be predicted. With predicted pressure drop The calculation formula is:

[0021] In the formula: This is a correction factor for predicting efficiency. For the pressure drop correction factor; when the target inlet velocity is not in the existing benchmark operating condition database, and Obtained through experimental databases, numerical simulation databases, interpolation methods, or fitting relationships.

[0022] Optionally, in S5, the specific method for obtaining the comprehensive performance evaluation indicators is as follows: Based on predicted pressure drop Calculate the Euler number under the target operating condition:

[0023] Constructing comprehensive performance evaluation indicators :

[0024] in: is the dimensionless drag coefficient for the target operating condition, representing the flow resistance corresponding to a unit inlet dynamic pressure; Used to characterize the separation gain per unit dimensionless flow resistance.

[0025] As can be seen from the above technical solution, compared with the prior art, the present invention provides a method for predicting and optimizing the performance of cyclone separators based on temperature property correction, which has the following beneficial effects: (1) Improve the applicability of cyclone separator performance prediction under different temperature conditions. This invention transforms the changes in gas density, specific heat capacity, dynamic viscosity, and thermal conductivity caused by temperature variations into temperature property correction coefficients, and further introduces a Reynolds number correction coefficient. This allows the influence of temperature on the separation efficiency and pressure drop of cyclone separators to be characterized by calculable parameters, thereby improving the applicability of the performance prediction method to different temperature conditions.

[0026] (2) Highlight the corrective effect of temperature property changes on separation efficiency and pressure drop.

[0027] This invention uses the separation efficiency and pressure drop under the same inlet velocity and reference temperature conditions as a reference to construct efficiency correction coefficients and pressure drop correction coefficients, respectively. Compared with directly predicting absolute separation efficiency and absolute pressure drop, this method can reduce the interference of inlet velocity differences on reference performance and more clearly reflect the impact of temperature property changes on cyclone separator performance.

[0028] (3) Achieve simultaneous prediction of separation efficiency and pressure drop.

[0029] This invention establishes a predictive relationship between efficiency correction coefficients and pressure drop correction coefficients based on temperature property correction coefficients, Reynolds number correction coefficients, and normalized inlet velocity, and further obtains the predicted separation efficiency and predicted pressure drop under target operating conditions, thereby providing a basis for performance evaluation of cyclone separators under different temperatures and inlet velocities.

[0030] (4) Evaluation of the comprehensive performance of efficiency and resistance

[0031] This invention introduces the Euler number to make the voltage drop dimensionless and constructs a comprehensive performance index. This is used to characterize the separation efficiency obtained under unit dimensionless flow resistance. This evaluation method can simultaneously consider the separation benefits and the flow resistance costs, avoiding the one-sidedness caused by using separation efficiency or pressure drop as the evaluation standard alone.

[0032] (5) Determine the preferred inlet velocity at the target temperature

[0033] This invention compares the comprehensive performance indicators corresponding to different inlet velocities at the same target temperature. ,Will The inlet velocity corresponding to the maximum value is determined as the optimal inlet velocity, thereby optimizing the operation of the cyclone separator at the target temperature and providing a basis for inlet velocity selection, energy consumption control and separation performance improvement in the process of treating high-temperature dusty gas. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0035] Figure 1 The flowchart of the cyclone separator performance prediction and operation optimization method based on temperature property correction provided by the present invention; Figure 2 A comparison chart of the predicted and actual values ​​of the efficiency correction coefficient provided by this invention; Figure 3 A comparison chart of the predicted and actual values ​​of the pressure drop correction coefficient provided by this invention; Figure 4 The comprehensive performance indicators predicted for different temperatures and inlet velocities provided by this invention Distribution map. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Reference Figure 1 This invention discloses a method for predicting and optimizing the performance of a cyclone separator based on temperature property correction, comprising the following steps: S1. Obtain the target operating parameters of the cyclone separator, the gas physical property parameters at the target temperature, and the gas physical property parameters at the reference temperature.

[0038] Target operating parameters include gas temperature and inlet speed (18 m / s); Gas physical properties at the target temperature include those at a temperature of Gas density at (673K) Specific heat capacity of gas at constant pressure Dynamic viscosity and thermal conductivity Reference temperature The following gas physical properties include temperature. gas density at time Specific heat capacity of gas at constant pressure Dynamic viscosity and thermal conductivity .

[0039] This embodiment selects 5 temperatures and 4 inlet velocities, totaling 20 sample operating conditions. The temperatures are 293K, 373K, 473K, 573K, and 673K; the inlet velocities are 14m / s, 16m / s, 18m / s, and 20m / s. Each operating condition includes gas temperature, inlet velocity, gas density, gas isobaric specific heat capacity, dynamic viscosity, thermal conductivity, separation efficiency, and pressure drop.

[0040] S2. Based on the gas property parameters corresponding to the target temperature and the reference temperature, calculate the temperature property correction coefficient; combine the target operating condition parameters to calculate the inlet Reynolds number and the Reynolds number correction coefficient; take the reference operating condition performance at the same inlet velocity as a reference, calculate the sample true efficiency correction coefficient and the sample true pressure drop correction coefficient.

[0041] (1) Temperature property correction factor

[0042] Based on reference temperature Using gas physical properties at (preferably 293K) as a reference, a temperature property correction coefficient is constructed, including a density correction coefficient. Specific heat correction coefficient Viscosity correction factor and thermal conductivity correction factor The specific calculation formula is as follows:

[0043] Based on the aforementioned temperature property correction coefficients, the changes in gas properties at different temperatures can be converted into dimensionless correction parameters for subsequent cyclone separator performance prediction.

[0044] (2) Inlet Reynolds number and Reynolds number correction factor

[0045] Ingress Reynolds number The calculation formula is:

[0046] Based on reference temperature Same inlet speed Inlet Reynolds number under certain conditions For reference, construct Reynolds number correction coefficients. :

[0047] in, The hydraulic diameter of the rectangular inlet of the cyclone separator is calculated according to the following relationship:

[0048] In the formula: , These represent the length and height of the rectangular inlet of the cyclone separator, respectively.

[0049] In one specific embodiment, the cyclone separator inlet length The entrance height is 0.058m. If the inlet hydraulic diameter is 0.145m, then... It is 0.08286m.

[0050] (3) Correction coefficient for true sample efficiency and correction coefficient for true sample pressure drop

[0051] Reference temperature at the same inlet velocity Using the separation efficiency and pressure drop under operating conditions as benchmark values, the correction factor for the true sample efficiency at the target temperature is calculated. Correction factor for actual pressure drop of the sample :

[0052] In the formula: Indicates gas temperature , entrance speed Separation efficiency at that time Indicates reference temperature Same inlet speed Separation efficiency at that time; Indicates gas temperature , entrance speed Pressure drop at time, Indicates reference temperature Same inlet speed Pressure drop at that time.

[0053] The above correction method uses a reference temperature condition at the same inlet velocity as a standard, rather than dividing all conditions by a single fixed condition. This approach converts performance variations at different temperatures into correction coefficients relative to the reference temperature, thus eliminating the influence of inlet velocity on baseline performance and highlighting the corrective effect of temperature property changes on the cyclone separator's separation efficiency and pressure drop.

[0054] S3. Based on the normalized inlet velocity and various correction coefficients obtained in S2, a prediction model for the efficiency correction coefficient and the pressure drop correction coefficient is built.

[0055] A prediction model for the efficiency correction coefficient and the pressure drop correction coefficient is constructed, specifically as follows: For the inlet speed Normalization is performed to obtain the normalized inlet velocity. :

[0056] In the formula: The reference inlet velocity is preferably 14 m / s.

[0057] An efficiency correction coefficient is established based on temperature property correction coefficient, Reynolds number correction coefficient, and normalized inlet velocity. Pressure drop correction factor The predictive relationship. In the wide protection mode, the efficiency correction coefficient. Pressure drop correction factor They can be represented as:

[0058] in, and The predictive relationships established from the sample working condition data are obtained using multiple regression, response surface fitting, interpolation models, lookup table models, or semi-empirical correlation formulas.

[0059] In this embodiment, considering that density, viscosity, and Reynolds number have a direct impact on the separation efficiency and pressure drop of the cyclone separator, a density correction factor is selected. Viscosity correction factor Reynolds number correction factor and normalized inlet velocity As the main input variables, a multiple regression prediction relationship was established between the efficiency correction coefficient and the pressure drop correction coefficient:

[0060] Using the above prediction relationships, the efficiency correction coefficient and pressure drop correction coefficient under the target operating condition can be calculated based on the target temperature, inlet velocity, and corresponding gas properties. The coefficients in the above prediction relationships can be obtained by fitting sample operating data at different temperatures and inlet velocities.

[0061] S4. Substitute the temperature property correction coefficient, Reynolds number correction coefficient, and normalized inlet velocity of the operating condition to be predicted into the prediction model to obtain the prediction efficiency correction coefficient and the prediction pressure drop correction coefficient. Combine the performance parameters of the benchmark operating condition with the same inlet velocity to solve the prediction separation efficiency and prediction pressure drop of the operating condition to be predicted.

[0062] Predictive separation efficiency of the operating condition to be predicted With predicted pressure drop The calculation formula is:

[0063] In the formula: This is a correction factor for predicting efficiency. For the pressure drop correction factor; when the target inlet velocity is not in the existing benchmark operating condition database, and Obtained through experimental databases, numerical simulation databases, interpolation methods, or fitting relationships.

[0064] The actual correction coefficients for each group of samples were compared with the predicted correction coefficients output by the model for verification. Figure 2 The curve showing the comparison between the predicted value and the actual sample value of the efficiency correction coefficient. Figure 3 The curve comparing the predicted value of the pressure drop correction coefficient with the actual sample value shows that the closer the data points are to the 1:1 reference line, the closer the predicted value is to the actual value, and the better the model's prediction effect on the efficiency correction coefficient. The comparison results show that the prediction model constructed in this invention has high fitting accuracy and can accurately predict the correction coefficient under different operating conditions.

[0065] S5. Calculate the comprehensive performance evaluation index based on the predicted separation efficiency and predicted pressure drop.

[0066] The specific methods for obtaining comprehensive performance evaluation indicators are as follows: Based on predicted pressure drop Calculate the Euler number under the target operating condition:

[0067] Constructing comprehensive performance evaluation indicators :

[0068] in: is the dimensionless drag coefficient for the target operating condition, representing the flow resistance corresponding to a unit inlet dynamic pressure; Used to characterize the separation gain per unit dimensionless flow resistance. The larger the value, the better the overall efficiency-resistance performance of the cyclone separator under that operating condition.

[0069] S6. Under the same target temperature, traverse multiple sets of inlet velocities and calculate the comprehensive performance evaluation index for each set. Take the inlet velocity corresponding to the maximum value of the index as the preferred inlet velocity under the target temperature.

[0070] Preferred inlet speed Determined according to the following relationship: The larger the value, the higher the separation efficiency of the cyclone separator under the operating condition with lower dimensionless flow resistance, and the better its overall performance.

[0071] In one specific embodiment, the prediction comprehensive performance evaluation index corresponding to different inlet velocities under conditions of 293K, 373K, 473K, 573K, and 673K ​​is calculated respectively. The calculation results are shown in Table 1.

[0072] Table 1 Comprehensive performance evaluation indicators under different working conditions Calculation results

[0073] Based on the above results, the predicted comprehensive performance indicators under different temperatures and inlet velocities can be plotted. Distribution map, such as Figure 4 As shown. By Figure 4 It can be seen that, within the listed operating conditions, the prediction at 673K ​​and 18m / s is... The value of 0.16311 indicates that the cyclone separator has excellent overall performance in terms of separation efficiency and dimensionless flow resistance under this operating condition.

[0074] Through the above embodiments, the present invention can calculate, sequentially, temperature property correction coefficient, Reynolds number correction coefficient, efficiency correction coefficient, pressure drop correction coefficient, predicted separation efficiency, predicted pressure drop, Euler number, and comprehensive performance index, starting from the target temperature and inlet velocity. Ultimately, the optimal inlet velocity or optimal operating condition at the target temperature is determined.

[0075] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0076] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for performance prediction and operation optimization of cyclone separators based on temperature property correction, characterized in that, Includes the following steps: S1. Obtain the target operating condition parameters of the cyclone separator, the gas physical property parameters at the target temperature, and the gas physical property parameters at the reference temperature; S2. Calculate the temperature property correction coefficient based on the gas physical property parameters corresponding to the target temperature and the reference temperature; Calculate the inlet Reynolds number and the Reynolds number correction factor based on the target operating parameters; Using the same inlet velocity as a reference, calculate the sample true efficiency correction factor and the sample true pressure drop correction factor; S3. Based on the normalized inlet velocity and various correction coefficients obtained in S2, a prediction model for the efficiency correction coefficient and the pressure drop correction coefficient is built. S4. Substitute the temperature property correction coefficient, Reynolds number correction coefficient, and normalized inlet velocity of the working condition to be predicted into the prediction model to obtain the prediction efficiency correction coefficient and the prediction pressure drop correction coefficient. Combine the performance parameters of the benchmark working condition with the same inlet velocity to solve the prediction separation efficiency and prediction pressure drop of the working condition to be predicted. S5. Calculate the comprehensive performance evaluation index based on the predicted separation efficiency and predicted pressure drop; S6. Under the same target temperature, traverse multiple sets of inlet velocities and calculate the comprehensive performance evaluation index for each set. Take the inlet velocity corresponding to the maximum value of the index as the preferred inlet velocity under the target temperature.

2. The method for performance prediction and operation optimization of cyclone separators based on temperature property correction according to claim 1, characterized in that, In S1, the target operating condition parameters include gas temperature. and inlet speed The gas physical properties at the target temperature include those at a temperature of [temperature value missing]. gas density at time Specific heat capacity of gas at constant pressure Dynamic viscosity and thermal conductivity Reference temperature The following gas physical properties include temperature. gas density at time Specific heat capacity of gas at constant pressure Dynamic viscosity and thermal conductivity .

3. The method for performance prediction and operation optimization of cyclone separators based on temperature property correction according to claim 2, characterized in that, In S2, the temperature property correction factor includes the density correction factor. Specific heat correction coefficient Viscosity correction factor and thermal conductivity correction factor The specific calculation formula is as follows: Based on the temperature property correction coefficient, the changes in gas properties at different temperatures are transformed into dimensionless correction parameters.

4. The method for performance prediction and operation optimization of cyclone separators based on temperature property correction according to claim 3, characterized in that, In S2, the inlet Reynolds number The calculation formula is: Based on reference temperature Same inlet speed Inlet Reynolds number under certain conditions For reference, construct Reynolds number correction coefficients. : in, The hydraulic diameter of the rectangular inlet of the cyclone separator is calculated according to the following relationship: In the formula: , These represent the length and height of the rectangular inlet of the cyclone separator, respectively.

5. The method for performance prediction and operation optimization of a cyclone separator based on temperature property correction according to claim 4, characterized in that, In S2, the sample true efficiency correction coefficient Correction factor for actual pressure drop of the sample The calculation formula is: In the formula: Indicates gas temperature , entrance speed Separation efficiency at that time Indicates reference temperature Same inlet speed Separation efficiency at that time; Indicates gas temperature , entrance speed Pressure drop at time, Indicates reference temperature Same inlet speed Pressure drop at that time.

6. The method for performance prediction and operation optimization of a cyclone separator based on temperature property correction according to claim 5, characterized in that, In S3, prediction models for efficiency correction coefficients and pressure drop correction coefficients are built, specifically as follows: For the inlet speed Normalization is performed to obtain the normalized inlet velocity. : In the formula: Reference inlet velocity; In the wide protection mode, the efficiency correction coefficient Pressure drop correction factor They can be represented as: in, and The predictive relationships established from the sample working condition data are obtained using multiple regression, response surface fitting, interpolation models, lookup table models, or semi-empirical correlation formulas.

7. The method for performance prediction and operation optimization of a cyclone separator based on temperature property correction according to claim 6, characterized in that, In S4, the prediction separation efficiency of the operating condition to be predicted With predicted pressure drop The calculation formula is: In the formula: This is a correction factor for predicting efficiency. For the pressure drop correction factor; when the target inlet velocity is not in the existing benchmark operating condition database, and Obtained through experimental databases, numerical simulation databases, interpolation methods, or fitting relationships.

8. The method for performance prediction and operation optimization of a cyclone separator based on temperature property correction according to claim 7, characterized in that, In S5, the specific method for obtaining comprehensive performance evaluation indicators is as follows: Based on predicted pressure drop Calculate the Euler number under the target operating condition: Constructing comprehensive performance evaluation indicators : in: is the dimensionless drag coefficient for the target operating condition, representing the flow resistance corresponding to a unit inlet dynamic pressure; Used to characterize the separation gain per unit dimensionless flow resistance.

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