Dynamic digital twinning system establishment method for air-cooled condenser performance based on online operation data

Abstract

The invention relates to a dynamic digital twinning establishment method for performance of an air-cooled condenser based on online operation data. The method comprises the following steps: a, data acquisition and correction: obtaining operation data of the air-cooled condenser through real-time monitoring; b, correcting and obtaining corrected accurate thermal load and fan air volume through a data correction module; c, the current heat transfer coefficient and heat exchange efficiency are calculated through a heat transfer coefficient and heat exchange efficiency calculation module; d, the current heat exchange coefficient is calculated through the relative heat exchange efficiency Evs and the current relative heat exchange coefficient, and then the heat exchange capacity of the air-cooled condenser is evaluated, including calculation of condensing pressure; when a user adjusts the capacity, parameters of the air-cooled condenser are dynamically calculated through Evs data, and real-time dynamic digital twinning of performance is achieved; and e, detecting the change condition of the relative heat exchange efficiency Evs through an anomaly detection module so as to identify other problems occurring in the condenser system. According to the scheme, through real-time monitoring and data analysis, the system can discover abnormal changes of the performance of the air-cooled condenser in time, and timely and accurate information support is provided for operation and maintenance decisions of users.

Description

Technical Field

[0001] The present invention relates to the technical field of air-cooled condensers, and in particular to a method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data. Background Art

[0002] As an important component of the condensing steam turbine, the heat exchange performance of the air-cooled condenser directly determines the operating efficiency of the steam turbine. The design of the air-cooled condenser is often based on more stringent operating conditions. When the device is put into operation, the parameters operating under the design conditions will not appear. Therefore, the heat exchange performance of the air-cooled condenser cannot be directly verified during project acceptance.

[0003] The air-cooled condenser provides condensation of exhaust steam for the steam turbine and establishes the required vacuum conditions for the steam turbine exhaust. The heat exchange capacity of the air-cooled condenser is restricted by its own heat exchange efficiency and structure, as well as the tightness of the air-cooled condenser system installation and the capacity of the vacuum equipment. Its comprehensive heat exchange efficiency needs to be re-evaluated at the operation site. The performance of the air-cooled condenser is greatly affected by the ambient temperature, and the adjustment of its operating parameters (air volume of the fan) has a more urgent need to establish a digital twin model of the air-cooled condenser. How to evaluate the performance of the air-cooled condenser delivered for operation, and to conduct real-time evaluation of the heat exchange efficiency of air-cooled condensers with different tube types under different conditions without a unified standard for calculating the heat exchange coefficient. At present, the theoretical calculation of the operating performance based on the assumed conditions of the supplier's design end is still adopted (the heat transfer performance of the air-cooled condenser cannot be effectively and dynamically corrected).

[0004] This calculation cannot simulate the structural performance changes of the air-cooled condenser and the operating conditions of the system, and cannot ultimately express the heat exchange efficiency and condensing capacity of the air-cooled condenser in real time. It is even more impossible to provide performance feedback of the real digital twin of the heat exchange capacity based on the actual conditions of the air-cooled condenser, such as the cleanliness of the heat exchange tubes, the failure of fin brazing (passivation of the heat exchange element), the actual pressure loss of the internal flow field (structural loss), and the system-related constraints (system loss). Summary of the invention

[0005] The present invention proposes a method for establishing a dynamic digital twin of an air-cooled condenser performance based on online operation data, which solves the above-mentioned problems existing in the use process of the prior art.

[0006] The technical solution of the present invention is achieved in this way:

[0007] A method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data comprises the following steps:

[0008] a. Data collection and correction: obtain the operating data of the air-cooled condenser through real-time monitoring;

[0009] b. Correct and obtain the corrected accurate heat load and fan air volume through the data correction module;

[0010] c. Calculate the current heat transfer coefficient and relative heat transfer efficiency through the heat transfer coefficient and relative heat transfer efficiency calculation module;

[0011] d. Use the relative heat transfer efficiency Evs and the current relative heat transfer coefficient to calculate the current heat transfer coefficient, and then evaluate the heat transfer capacity of the air-cooled condenser, including the calculation of the condensing pressure; when the user adjusts the production capacity, use the Evs data to dynamically calculate the parameters of the air-cooled condenser to achieve real-time dynamic digital twin of the performance;

[0012] e. Detect changes in the relative thermal efficiency Evs through the abnormality detection module to identify other problems in the air-cooled condenser system.

[0013] The detected data in steps a and b are identified and corrected for validity, so as to accurately collect the heat load Q and fan air volume of the air-cooled condenser condensation, and the wind speed temperature rise operating parameters for the thermal comparison calculation are used through the air volume.

[0014] The heat transfer coefficient and relative heat transfer efficiency in step b are calculated by using the corrected data according to the formula:

[0015] Us=fx(As,LMTD,Q) calculates the current heat transfer coefficient Us,

[0016] Where As is the heat exchange area, LMTD is the logarithmic mean temperature difference, and Q is the heat load;

[0017] By comparing the measured heat transfer coefficient Us with the relative heat transfer coefficient Ut calculated based on heat transfer related factors and the design fouling coefficient, that is, Evs = fx (Us, Ut), where Ut = fx (U1t, Ff), U1t is the heat transfer coefficient, and Ff is the design fouling coefficient, the relative heat transfer efficiency Evs of the air-cooled condenser is calculated. This value can be greater than 100%, which directly reflects the current state of the air-cooled condenser.

[0018] Performance monitoring and abnormal warning in step d: real-time monitoring of Evs changes, tracking the attenuation process of air-cooled condenser performance, and identifying abnormal performance reduction through data analysis, and issuing safety or maintenance operation prompts in a timely manner.

[0019] It further includes integrating the above method into computer software to form a dynamic digital twin system with air-cooled condenser performance, which can automatically perform data collection, correction, calculation, evaluation and early warning functions.

[0020] The calculation of the relative heat exchange efficiency Evs takes into account the difference between the actual operating conditions of the air-cooled condenser and the design or clean state, and provides users with an intuitive performance comparison index.

[0021] Through real-time monitoring and data analysis, the system can promptly detect abnormal changes in the performance of the air-cooled condenser and provide timely and accurate information support for users' operation and maintenance decisions.

[0022] Through the above scheme, it can be seen that this scheme has the following characteristics:

[0023] 1. The heat load calculation adopts measured data and identifies and corrects it, taking into full account the additional heat load caused by additional factors.

[0024] 2. Upgrade the capacity verification of the air-cooled condenser to a dynamic performance verification to form a recordable and identifiable basis for performance changes.

[0025] 3. With the real-time relative heat exchange efficiency, the actual performance of the existing air-cooled condenser can be evaluated, and the operation and maintenance solutions proposed to users will be more reliable and timely.

[0026] 4. Dynamic performance digital twin is a new concept. It is a correction calculation of the performance that is not limited to the structural properties of the air-conditioning condenser itself. It is a digital twin that is completely consistent with the on-site performance of the air-conditioning condenser. It is not a theoretical reference performance.

[0027] 5. Performance evaluation and condensing capacity feedback are more intuitive and effective.

[0028] 6. The concept of relative heat transfer efficiency and the fitting formula of relative heat transfer coefficient can cover the heat transfer coefficient fitting of any supplier's commonly used tube types (large flat tubes and round tubes) and tube bundle arrangements (KD or Mash), and is no longer restricted by the manufacturer's technical barriers. The performance of the air-cooled condenser can be independently evaluated. In summary, the beneficial effects of the present invention are:

[0029] The method of the present invention is applicable to the application scenarios of digital twin of air-cooled condenser performance, such as digital delivery of devices requiring high-efficiency air-cooled condensers, performance acceptance of devices, real-time operation performance monitoring and analysis, and operation and maintenance performance evaluation. In particular, dynamic tracking of the heat transfer performance of air-cooled condensers has significant advantages in improving the utilization efficiency of equipment and energy conservation and emission reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0031] Figure 1 This is a schematic diagram of an application example of a method for establishing a dynamic digital twin of an air-cooled condenser performance based on online operation data of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the attached embodiment of the present invention Figure 1 , the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Example

[0034] This embodiment discloses a method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data and its establishment method. First, the current situation is analyzed. The specific current situation is as follows:

[0035] The design of air-cooled condensers is based on the given design conditions, the manufacturer's own tube type and related parameters to determine the heat transfer coefficient and the set heat transfer coefficient conversion parameters (generally, the heat transfer area and structural parameters of the air-cooled condenser are obtained by thermal calculation using the tube external fouling coefficient. The formula is:

[0036] As=fx(Q,U,LMTD)

[0037] The total heat transfer coefficient U = fx(U1,Ff)

[0038] U1 is the heat transfer performance data obtained by each manufacturer based on its own tube type experiment or the heat transfer coefficient calculated by the fitting formula, and Ff is the assumed fouling coefficient (that is, the converted value of the heat transfer coefficient).

[0039] Q heat load and LMTD logarithmic mean temperature difference are the design input conditions. According to these conditions, the heat exchange area As of an air-cooled condenser (including specific structural parameters) can be determined, and an air-cooled condenser consisting of a specific number of tube bundles can be integrated.

[0040] After the area of ​​the air-to-air condenser is determined (the outer area of ​​the tube bundle and the windward area), the condensation temperature that can be reached by the air-to-air condenser under the assumed heat exchange tube fouling coefficient can be calculated based on different heat loads and operating conditions (mainly ambient temperature and air volume) to obtain the condensation pressure.

[0041] 2. Calculate the heat transfer capacity (exhaust steam pressure) of the air-cooled condenser under different operating conditions (hypothetical fouling factor, hypothetical system tightness, perfect internal flow field, and non-decaying heat exchange elements) based on the heat transfer area and structural characteristics of the designed air-cooled condenser as the response of the digital delivery of the air-cooled condenser. It is the result of theoretical calculations based on experience.

[0042] 3. Because it is impossible to accurately evaluate the degree of heat transfer passivation of the heat exchange tubes of the air-cooled condenser and the influence of operating parameters under the relevant conditions of the existing air-cooled condenser structure and system, the theoretical calculation often does not match the actual operating results. The difference in heat transfer efficiency cannot be quantitatively feedback, and the performance evaluation of the actual state cannot be given for the operating data. This digital twin performance symmetry rate cannot be dynamically updated and corrected. The operating performance parameters it provides are also distorted and have no reference value.

[0043] 4. The air-cooled condenser is a special heat exchanger. For the same parameters, different manufacturers give different structural solutions. Even if the main structures are the same (area and tube structure parameters), the heat transfer efficiency will vary greatly due to differences in structure and fan configuration. At the same time, for exactly the same air-cooled condenser, the performance will also be different due to differences in installation and other equipment in the system.

[0044] 5. Since there may be additional heat loads generated due to various factors during on-site operation, it is necessary to effectively identify the operating parameters and consider the influence of various factors on the operating parameters. The existing results based on theoretical calculations cannot reflect the true heat transfer performance of the air-cooled condenser.

[0045] 6. The existing solutions only feedback the condensation capacity under hypothetical conditions and cannot feedback the change of heat transfer efficiency. It is impossible to intuitively judge the performance state and trend of the air-cooled condenser.

[0046] 7. Due to technical barriers of different manufacturers, the calculations of heat transfer coefficients for different tube types are closed and not publicly available, and users cannot obtain the relevant technologies for performance calculation.

[0047] These are all technical problems that cannot be overcome by existing technologies for realizing dynamic performance digital twins.

[0048] This solution proposes a method for establishing a dynamic digital twin system for the performance of an air-cooled condenser based on on-line operating data and its establishment method. The purpose of this implementation method is to achieve accurate evaluation and dynamic digital twin of the condenser performance through real-time monitoring and data analysis. By using measured data and identifying and correcting, fully considering additional factors, improving the accuracy and practicality of condenser performance verification, and providing users with more reliable and timely operation and maintenance solutions.

[0049] The technical solutions to be achieved are as follows:

[0050] 1. Corrected accurate heat load and fan air volume obtained through real-time monitoring data

[0051] By acquiring real-time data and identifying the validity of the data, the influence of factors such as subcooling is fully considered, the heat load Q of the air-to-air condenser condensation is accurately collected, and the wind speed temperature rise and other operating parameters are used for thermal comparison calculations through air volume.

[0052] 2. Calculate the current heat transfer coefficient and relative heat transfer efficiency as follows:

[0053] Us=fx(As,LMTD,Q)

[0054] Calculation of relative heat transfer efficiency:

[0055] Evs=fx(Us,Ut)

[0056] UT can be understood as a function of the heat transfer coefficient U1t and the design fouling coefficient Ff based on heat transfer related factors, UT = fx (U1t, Ff). Because the tube types and processes of each manufacturer are different, the U1t value is different for each manufacturer (the algorithm is not public), which can be understood as the relative heat transfer coefficient. Evs is the ratio of the measured heat transfer coefficient Us to the relative heat transfer coefficient Ut.

[0057] At this time, Evs is the relative heat transfer efficiency of the air-cooled condenser, and its value can be greater than 100%. The relative heat transfer coefficient reflects the current state of the air-cooled condenser.

[0058] 3. The current heat transfer coefficient is obtained by multiplying the relative heat transfer efficiency Evs of comprehensive on-site factors and the current relative heat transfer coefficient U1. This value can be used to obtain the current heat transfer capacity of the air-cooled condenser (calculate the condensing pressure). When the user adjusts the production capacity, the air-cooled condenser parameters calculated using the Evs data are the dynamic condensing capacity results, which are real-time dynamic performance digital twins.

[0059] 4. EVs will change due to changes in the state of the heat exchange tubes, and will also jump down due to other sudden failures in the system. It can reflect the current state of the air-cooled condenser and can intuitively track the attenuation process of its performance. The abnormal situation of jumping down can be tracked and identified through the recorded data, and safety or maintenance operation prompts can be issued.

[0060] The specific implementation method and functions of the invention of this scheme are as follows:

[0061] 1. A method for correcting heat load and fan air volume of air condenser based on real-time monitoring data

[0062] The present invention relates to a method for accurately obtaining the heat load Q and fan air volume of an air-cooled condenser by identifying and correcting the effectiveness of real-time monitoring data. The method comprises the following steps:

[0063] a) Real-time collection of data during the operation of the air-cooled condenser, including but not limited to temperature, wind speed, air volume, etc.;

[0064] b) Identify the validity of the collected data, eliminate outliers, and ensure the accuracy and reliability of the data;

[0065] c) Fully consider the influence of factors such as subcooling, and accurately classify the heat load Q through algorithms;

[0066] d) Based on the collected heat load Q and real-time monitored parameters such as wind speed and temperature rise, the accurate fan air volume is calculated for subsequent thermal comparison calculations.

[0067] 2. A method for calculating the heat transfer coefficient and relative heat exchange efficiency of an air-cooled condenser

[0068] The present invention also provides a method for calculating the heat transfer coefficient and relative heat exchange efficiency of an air-cooled condenser based on real-time monitoring data, and the specific steps are as follows:

[0069] a) According to the real-time monitoring data, the current heat transfer coefficient Us is calculated using the preset formula Us=fx(As,LMTD,Q), where As is the heat exchange area, LMTD is the logarithmic mean temperature difference, and Q is the heat load;

[0070] b) Calculate the relative heat transfer efficiency Evs, the calculation formula is Evs = fx (Us, Ut), where Ut is the relative heat transfer coefficient, which is a function of the heat transfer coefficient U1t of the heat transfer related elements and the design fouling coefficient Ff, that is, UT = fx (U1t, Ff);

[0071] c) The U1t value varies due to different manufacturers' tube types and processes, and the algorithm is not public. Here, Ut is understood as a relative heat transfer coefficient, which is used to reflect the current state of the air-cooled condenser;

[0072] d) The calculated Evs value can be used to evaluate the relative heat transfer efficiency of the air-cooled condenser. Its value may be greater than 100%, indicating the degree of deviation of the current heat transfer performance from the design state.

[0073] 3. A dynamic performance evaluation method for air-cooled condenser based on relative heat transfer efficiency

[0074] The present invention further provides a method for evaluating the dynamic performance of an air-cooled condenser based on the relative heat exchange efficiency Evs, comprising the following steps:

[0075] a) Multiply the relative heat transfer efficiency Evs of comprehensive field factors by the current relative heat transfer coefficient U1 to obtain the current heat transfer coefficient;

[0076] b) Calculate the current heat transfer capacity of the air-cooled condenser using the current heat transfer coefficient, and then obtain the condensation pressure;

[0077] c) When the user adjusts the production capacity, dynamically calculate the condensation capacity of the air-cooled condenser using Evs data to achieve real-time dynamic performance digital twin;

[0078] d) By continuously monitoring the changes in Evs, reflect the current state and performance degradation process of the air-cooled condenser, and provide timely prompts for safety or maintenance operations.

[0079] 4. An air-cooled condenser state monitoring and fault warning system based on Evs changes

[0080] The present invention also relates to an air-cooled condenser state monitoring and fault warning system based on Evs changes, which can:

[0081] a) Real-time monitor and record the changes in Evs;

[0082] b) When Evs jumps and decreases due to changes in the heat exchange tube state or a sudden system failure, promptly identify and issue a warning signal;

[0083] c) Analyze the performance degradation process of the air-cooled condenser based on the recorded data to provide decision support for maintenance and upkeep;

[0084] d) Issue safety or maintenance operation prompts to ensure the stable operation of the air-cooled condenser.

[0085] The above technical solution and its application in realizing the efficient and safe operation of the air-cooled condenser.

[0086] Make a further detailed description of the above system:

[0087] I. System construction and data collection

[0088] Install temperature sensors, flow sensors, wind speed sensors, etc. at key positions of the air-cooled condenser for real-time monitoring of operation data.

[0089] Configure a data collection device for collecting and preliminarily processing the data transmitted by the sensors.

[0090] Data collection and transmission:

[0091] Obtain key parameters such as temperature, flow rate, wind speed, and subcooling degree of the air-cooled condenser in real time through sensors.

[0092] The data collection device performs preliminary processing on the raw data, such as filtering and noise reduction, to ensure the accuracy and reliability of the data.

[0093] The processed data is transmitted to the central processing unit by wired or wireless means.

[0094] 2. Data Correction and Heat Load Calculation

[0095] Data correction:

[0096] Identify the validity of the received data and remove outliers or invalid data.

[0097] Taking into account the impact of additional factors such as subcooling on the heat load, the data is corrected to ensure the accurate collection of the heat load Q.

[0098] Heat load and air volume calculation:

[0099] Based on the corrected data, calculate the heat load Q of the air-cooled condenser condensation.

[0100] At the same time, operating parameters such as wind speed temperature rise and fan air volume for thermal comparison are calculated.

[0101] 3. Calculation of heat transfer coefficient and heat exchange efficiency

[0102] Heat transfer coefficient calculation:

[0103] The current heat transfer coefficient Us is calculated using the formula Us=fx(As,LMTD,Q), where As is the heat exchange area, LMTD is the logarithmic mean temperature difference, and Q is the heat load.

[0104] Heat transfer efficiency calculation:

[0105] The relative heat transfer coefficient Ut is determined based on the tube type and process of each manufacturer. This coefficient is a function of the heat transfer coefficient U1t of the heat transfer related elements and the design fouling coefficient Ff, that is, Ut=fx(U1t,Ff).

[0106] The relative heat exchange efficiency Evs is calculated using the formula Evs=fx(Us, Ut). This value reflects the current heat exchange performance of the air-cooled condenser and may be greater than 100%.

[0107] 4. Dynamic Performance Evaluation and Digital Twin

[0108] Current heat transfer coefficient calculation:

[0109] Combined with the actual operating conditions on site, the current heat transfer coefficient is calculated using the relative heat transfer efficiency Evs and the current relative heat transfer coefficient U1 (or the corrected value of the heat transfer coefficient under specific conditions).

[0110] Heat transfer capacity assessment:

[0111] Evaluate the real-time heat transfer capacity of the air-cooled condenser based on the current heat transfer coefficient, including calculation of the condensing pressure.

[0112] Dynamic Digital Twin:

[0113] When users adjust production capacity, EVs data is used to dynamically calculate various parameters of the air-cooled condenser to achieve real-time dynamic digital twin of performance. That is, a virtual model that corresponds to the performance of the physical air-cooled condenser in real time is created to simulate, predict and optimize the operation of the air-cooled condenser.

[0114] 5. Performance monitoring and abnormal warning

[0115] Real-time monitoring and recording:

[0116] The system monitors the changes in relative heat exchange efficiency Evs in real time and records relevant data.

[0117] Abnormal identification and early warning:

[0118] Through data analysis technology, abnormal performance drops can be identified, which may be caused by changes in the status of the heat exchange tubes or sudden system failures.

[0119] Once an abnormal situation is identified, the system immediately issues corresponding safety or maintenance operation prompts to ensure the safe and stable operation of the air-cooled condenser.

[0120] According to the above method, corresponding computer software can also be developed to realize functions such as data acquisition, data correction, calculation of heat transfer coefficient and heat exchange efficiency, dynamic performance evaluation and digital twin, performance monitoring and abnormal warning. The system can be deployed on the cloud or local server, which is convenient for users to access and use through remote terminals or mobile devices.

[0121] 6. System maintenance and update

[0122] Regular maintenance: Regularly calibrate and maintain hardware equipment such as sensors and data acquisition devices to ensure data accuracy.

[0123] In summary, this implementation method achieves accurate evaluation and dynamic management of condenser performance through real-time data monitoring, calculation of heat transfer coefficient and heat exchange efficiency, and construction of a dynamic digital twin model. This method improves the accuracy and practicality of condenser performance evaluation, provides users with a more reliable and timely operation and maintenance solution, and helps ensure the safe and stable operation of the condenser.

[0124] Let’s explain it with actual cases:

[0125] refer to Figure 1 ,The conclusion that can be drawn from this technical solution is that the subcooling degree is too large and the pipeline resistance is too large.

[0126] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data, comprising the following steps: a. Data collection and correction: obtain the operating data of the air-cooled condenser through real-time monitoring; b. Correct and obtain the corrected accurate heat load and fan air volume through the data correction module; c. Calculate the current heat transfer coefficient and heat transfer efficiency through the heat transfer coefficient and relative heat transfer efficiency calculation module; d. Use the relative heat transfer efficiency Evs and the current relative heat transfer coefficient to calculate the current heat transfer coefficient, and then evaluate the heat transfer capacity of the air-cooled condenser, including the calculation of the condensing pressure; when the user adjusts the production capacity, use the Evs data to dynamically calculate the parameters of the air-cooled condenser to achieve real-time dynamic digital twin of the performance; e. Detect changes in the relative heat exchange efficiency Evs through the abnormality detection module to identify other problems in the condenser system.

2. The method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data according to claim 1, characterized in that: The detected data in steps a and b are identified and corrected for validity, so as to accurately collect the heat load Q and fan air volume of the air-cooled condenser condensation, and the wind speed temperature rise operating parameters used for the thermal comparison calculation are used through the air volume.

3. The method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data according to claim 1, characterized in that: In step b, the current heat transfer coefficient and relative heat transfer efficiency are calculated as follows: Us=fx(As,LMTD,Q); Where As is the heat exchange area, LMTD is the logarithmic mean temperature difference, and Q is the heat load; By comparing the ratio of the measured heat transfer coefficient Us with the relative heat transfer coefficient Ut calculated based on heat transfer related factors and the designed fouling coefficient, that is, Evs = fx(Us, Ut), where Ut = fx(U1t, Ff), U1t is the heat transfer coefficient based on heat transfer related factors, and Ff is the designed fouling coefficient, the relative heat exchange efficiency Evs of the air-to-air condenser is calculated. This value can be greater than 100%, which intuitively reflects the current state of the air-to-air condenser.

4. The method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data according to claim 1, characterized in that: Performance monitoring and abnormal warning in step d: real-time monitoring of Evs changes, tracking the attenuation process of air-cooled condenser performance, and identifying abnormal performance reduction through data analysis, and issuing safety or maintenance operation prompts in a timely manner.

5. The method for establishing a dynamic digital twin system of air-cooled condenser performance based on online operation data according to claim 1, characterized in that: It further includes integrating the above method into computer software to form a dynamic digital twin system of air-cooled condenser performance, which can automatically perform data collection, correction, calculation, evaluation and early warning functions.

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