Condenser optimization control method and system based on equal vacuum line

Abstract

The invention discloses a condenser optimization control method and system based on an isovacuum line, and relates to the technical field of condenser optimization control, and the method comprises the steps: collecting the circulating water amount and the environment temperature, and constructing an isovacuum line model related to the temperature; dynamically adjusting isovacuum line slope and intercept, and correcting the model to adapt to real-time working conditions; and dividing areas based on the vacuum point positions, and generating an optimization control instruction of the cold-end equipment. According to the method, control errors caused by environment temperature or load fluctuation are eliminated by adjusting the mechanism and improving the model adaptability, the energy efficiency of the cooling system is remarkably improved through accurate dynamic optimization and intelligent control, energy consumption is reduced, dependence on manual operation is effectively reduced, and the method is suitable for large-scale popularization and application. The automation level of the system is further improved; compared with the prior art, the method shows better performance in the aspects of ensuring the reliability, the stability and the operation efficiency of the system, and promotes a cold end control technology to develop towards a more efficient and more intelligent direction.

Description

Technical Field

[0001] The invention relates to the technical field of condenser optimization control, and in particular to a condenser optimization control method and system based on an isovacuum line. Background Art

[0002] In recent years, with the continuous development of industrial cooling systems, condensers, as an important part of thermal systems, have received extensive attention for their performance optimization. Traditional condenser control methods are usually based on static models, which improve operating efficiency by setting a fixed vacuum value or simply adjusting the frequency of the circulating water pump. However, static models have significant deficiencies in dealing with complex dynamic conditions, especially when the ambient temperature and load fluctuate greatly, and cannot effectively respond to changes in the cold end system. In addition, vacuum control-based technologies have gradually shifted to more refined control methods, such as introducing real-time monitoring and model optimization methods to improve system operation stability and energy-saving effects. These technological advances have laid the foundation for the refined management of cooling systems, but they still face key technical bottlenecks that need to be broken through.

[0003] Although the existing technology has introduced dynamic monitoring and parameter optimization into cooling system control, its main limitations are reflected in the following aspects: the existing vacuum control technology usually relies on simple linear relationships or empirical formulas, and cannot fully consider the impact of dynamic changes in environmental variables such as atmospheric temperature and circulating water temperature on cooling performance, resulting in insufficient model adaptability. The existing optimization algorithm usually focuses on a single variable, such as a fixed vacuum value or a single load interval optimization. This method fails to dynamically adjust the slope and intercept of the equal vacuum line, resulting in low control accuracy. The vacuum area division strategy has not yet been accurately realized in the existing technology. The start and stop and frequency adjustment of the circulating water pump are mostly based on manual judgment or fixed rules, lacking intelligence and real-time feedback mechanisms, and are difficult to adapt to complex operating conditions. These technical limitations make it difficult to further improve the system operation efficiency and energy-saving effects. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problems solved by the present invention are: the existing cold end control methods have insufficient model adaptability, low dynamic adjustment accuracy, inaccurate optimization area division, and how to achieve regionalized management of vacuum points and intelligent optimization and adjustment of cold end equipment.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a condenser optimization control method based on isovacuum lines, comprising collecting circulating water volume and ambient temperature, and constructing an isovacuum line model associated with temperature; dynamically adjusting the slope and intercept of the isovacuum line, and correcting the model to adapt to real-time working conditions; dividing the area based on the vacuum point position, and generating optimization control instructions for the cold end equipment.

[0007] As a preferred solution of the condenser optimization control method based on isovacuum line of the present invention, the construction of isovacuum line model associated with temperature includes collecting data of circulating water volume, condenser vacuum degree, atmospheric temperature, circulating water inlet temperature and outlet temperature in real time to establish isovacuum line model, which is expressed as:

[0008] Y=k·X+b

[0009] Among them, Y is the vacuum degree, X is the circulating water volume, k is the slope of the isovacuum line, which indicates the rate at which the vacuum degree changes with the circulating water volume, and b is the intercept of the isovacuum line, which indicates the vacuum degree when the circulating water volume is zero. The initial k and b are fitted by historical operating data, and the temperature factor is introduced into the slope calculation model to establish the preliminary correction relationship between the temperature parameter and the slope and intercept.

[0010] As a preferred solution of the condenser optimization control method based on isovacuum line of the present invention, the dynamic adjustment of the slope and intercept of the isovacuum line includes adjusting the slope and intercept of the isovacuum line by a dynamic interpolation algorithm so that the model adapts to the current operating conditions. The adjustment model is expressed as:

[0011] k now =k ref +α·(T atm,now -T atm,ref )+β·(T in,now -T in,ref )

[0012] b now =b ref +γ·(T atm,now -T atm,ref )+δ·(T out,now -T out,ref )

[0013] Among them, k now is the slope of the current isovacuum line, k ref is the slope of the reference isovacuum line, T atm,now is the current atmospheric temperature, T atm,ref is the reference atmospheric temperature, T in,now is the current circulating water inlet temperature, T in,ref is the reference circulating water inlet temperature, T out,now is the current circulating water outlet temperature, T out,ref is the reference circulating water outlet temperature, b now is the intercept of the current isovacuum line, b ref is the intercept of the reference isovacuum line, α is the coefficient of the atmospheric temperature affecting the slope, β is the coefficient of the circulating water inlet temperature affecting the slope, γ is the coefficient of the atmospheric temperature affecting the intercept, and δ is the coefficient of the circulating water outlet temperature affecting the intercept.

[0014] As a preferred solution of the condenser optimization control method based on equal vacuum lines of the present invention, the division of regions based on the vacuum point position includes calculating the circulating water volume corresponding to the current vacuum point, which is expressed as:

[0015]

[0016] Among them, X vacuum is the circulating water volume corresponding to the vacuum point, and Y is the current vacuum degree. According to the horizontal coordinate position of the vacuum point, the vacuum area is divided, including the low vacuum area of ​​Y<-97kPa, the sub-low vacuum area of ​​-97kPa≤Y<-96kPa, and the high vacuum area of ​​Y>-94kPa. The operation strategy of the cold end equipment is determined by combining the vacuum area and the operation parameters.

[0017] As a preferred scheme of the condenser optimization control method based on equal vacuum lines described in the present invention, wherein: the optimization control instructions for generating cold-end equipment include reducing the number of circulating water pumps and lowering the frequency of variable frequency pumps in the low vacuum area; increasing the number of circulating water pumps and increasing the operating frequency of variable frequency pumps in the high vacuum area; maintaining the current number of operating pumps and fine-tuning the frequency in the sub-low vacuum area; the control instructions are dynamically generated through logical judgment and combined with real-time data, and sent to the equipment execution system.

[0018] As a preferred solution of the condenser optimization control method based on the isovacuum line described in the present invention, the generation of the optimization control instruction for the cold end equipment also includes collecting the adjusted equipment operation status data, including the circulating water pump current, operation frequency, unit power generation load and condenser vacuum degree changes, comparing the feedback data with the operation status before adjustment, re-evaluating the position of the vacuum point on the isovacuum line, and dynamically updating the slope k now and intercept b now ,According to the real-time monitored circulating water volume and vacuum area division, the optimized control instructions are iteratively adjusted.

[0019] As a preferred scheme of the condenser optimization control method based on isovacuum lines described in the present invention, wherein: the generation of optimization control instructions for cold-end equipment also includes real-time display of the circulating water volume, vacuum degree and corresponding area division of the current vacuum point on the control system monitoring interface, and dynamic updating of the isovacuum line curve; drawing a comparison chart of the operating status before and after adjustment in combination with the current operating data, the system analyzes the adjustment effect, continuously optimizes the isovacuum line model, and adjusts the corresponding temperature influence coefficient.

[0020] Another object of the present invention is to provide a condenser optimization control system based on an isovacuum line, which can dynamically adjust the slope and intercept of the isovacuum line to correct the model to adapt to real-time operating conditions, thereby solving the problem of low accuracy of current cold end control technology.

[0021] As a preferred solution of the condenser optimization control system based on isovacuum lines described in the present invention, it includes: a data processing module, a dynamic adjustment module, and a region division module; the data processing module is used to collect the circulating water volume and the ambient temperature, and construct an isovacuum line model associated with the temperature; the dynamic adjustment module is used to dynamically adjust the slope and intercept of the isovacuum line, and correct the model to adapt to the real-time working conditions; the region division module is used to divide the region based on the vacuum point position, and generate optimization control instructions for the cold end equipment.

[0022] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a condenser optimization control method based on an isovacuum line.

[0023] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a condenser optimization control method based on an isovacuum line.

[0024] Beneficial effects of the invention: The condenser optimization control method based on isovacuum line provided by the invention solves the problem of insufficient static parameters in the traditional isovacuum line model by introducing temperature parameters, so that the model can adapt to changes in the external environment and improve the accuracy of prediction and control. Through the adjustment mechanism, the adaptability of the model is improved, and the control error caused by ambient temperature or load fluctuation is eliminated, which lays an accurate foundation for subsequent equipment optimization control. Through precise dynamic optimization and intelligent control, the energy efficiency of the cooling system is significantly improved, energy consumption is reduced, and dependence on manual operation is effectively reduced, further improving the automation level of the system. Compared with the prior art, the present invention shows better performance in ensuring system reliability, stability and operating efficiency, and promotes the cold end control technology to develop in a more efficient and intelligent direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0026] Figure 1 An overall flow chart of a condenser optimization control method based on equal vacuum lines provided in the first embodiment of the present invention.

[0027] Figure 2 An overall flow chart of a condenser optimization control system based on equal vacuum lines provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0029] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a condenser optimization control method based on an equal vacuum line, comprising:

[0030] S1: Collect the circulating water volume and ambient temperature, and construct an isovacuum line model associated with temperature.

[0031] Furthermore, the construction of the isovacuum line model associated with temperature includes collecting data of circulating water volume, condenser vacuum, atmospheric temperature, circulating water inlet temperature and outlet temperature in real time to establish the isovacuum line model, which is expressed as:

[0032] Y=k·X+b

[0033] Among them, Y is the vacuum degree, X is the circulating water volume, k is the slope of the isovacuum line, which indicates the rate at which the vacuum degree changes with the circulating water volume, and b is the intercept of the isovacuum line, which indicates the vacuum degree when the circulating water volume is zero. The initial k and b are fitted by historical operating data, and the temperature factor is introduced into the slope calculation model to establish the preliminary correction relationship between the temperature parameter and the slope and intercept.

[0034] It should be noted that the construction of an isovacuum line model associated with temperature realizes the real-time collection of circulating water volume and ambient temperature, and constructs a dynamic isovacuum line model to clarify the dynamic relationship between vacuum degree and circulating water volume, enhance the adaptability of the model, and ensure that the model has relevance to complex operating conditions, especially when the ambient temperature fluctuates significantly, so that vacuum changes can be more accurately predicted and controlled.

[0035] S2: Dynamically adjust the slope and intercept of the equal vacuum line and modify the model to adapt to the real-time working conditions.

[0036] Furthermore, dynamically adjusting the slope and intercept of the isovacuum line includes adjusting the slope and intercept of the isovacuum line through a dynamic interpolation algorithm so that the model adapts to the current operating conditions. The adjusted model is expressed as:

[0037] know =k ref +α·(T atm,now -T atm,ref )+β·(T in,now -T in,ref )

[0038] b now =b ref +γ·(T atm,now -T atm,ref )+δ·(T out,now -T out,ref )

[0039] Among them, k now is the slope of the current isovacuum line, k ref is the slope of the reference isovacuum line, T atm,now is the current atmospheric temperature, T atm,ref is the reference atmospheric temperature, T in,now is the current circulating water inlet temperature, T in,ref is the reference circulating water inlet temperature, T out,now is the current circulating water outlet temperature, T out,ref is the reference circulating water outlet temperature, b now is the intercept of the current isovacuum line, b ref is the intercept of the reference isovacuum line, α is the coefficient of the atmospheric temperature affecting the slope, β is the coefficient of the circulating water inlet temperature affecting the slope, γ is the coefficient of the atmospheric temperature affecting the intercept, and δ is the coefficient of the circulating water outlet temperature affecting the intercept.

[0040] It should be noted that the dynamic adjustment mechanism solves the adaptation problem of the traditional fixed model when the operating conditions fluctuate, especially when the load changes rapidly or the environmental conditions are abnormal. It can ensure the stability and accuracy of the model and realize the dynamic adjustment of the slope and intercept of the isovacuum line, so that the model can adapt to the current operating conditions in real time, thereby providing a high-precision basis for the optimization control of the cold end equipment.

[0041] S3: Divide the area based on the vacuum point position and generate optimization control instructions for the cold end equipment.

[0042] Furthermore, dividing the area based on the vacuum point position includes calculating the circulating water volume corresponding to the current vacuum point, which is expressed as:

[0043]

[0044] Among them, X vacuumis the circulating water volume corresponding to the vacuum point, and Y is the current vacuum degree. According to the horizontal coordinate position of the vacuum point, the vacuum area is divided, including the low vacuum area of ​​Y<-97kPa, the sub-low vacuum area of ​​-97kPa≤Y<-96kPa, and the high vacuum area of ​​Y>-94kPa. The operation strategy of the cold end equipment is determined by combining the vacuum area and the operation parameters.

[0045] It should be noted that the optimization control instructions generated for the cold-end equipment include reducing the number of circulating water pumps and lowering the frequency of the variable-frequency pump in the low-vacuum area; increasing the number of circulating water pumps and increasing the operating frequency of the variable-frequency pump in the high-vacuum area; and maintaining the current number of operating pumps and fine-tuning the frequency in the sub-low vacuum area. The control instructions are dynamically generated through logical judgment and combined with real-time data, and sent to the equipment execution system.

[0046] It should also be noted that generating the optimization control instructions for the cold-end equipment also includes collecting the adjusted equipment operating status data, including the circulating water pump current, operating frequency, unit power generation load and changes in the condenser vacuum degree, comparing the feedback data with the operating status before adjustment, re-evaluating the position of the vacuum point on the equal vacuum line, and dynamically updating the slope k now and intercept b now ,According to the real-time monitored circulating water volume and vacuum area division, the optimized control instructions are iteratively adjusted.

[0047] It should also be noted that the generation of optimized control instructions for cold-end equipment also includes real-time display of the circulating water volume, vacuum degree and corresponding area division of the current vacuum point on the control system monitoring interface, and dynamic updating of the equal vacuum line curve; drawing a comparison chart of the operating status before and after adjustment in combination with the current operating data. The system analyzes the adjustment effect, continuously optimizes the equal vacuum line model, and adjusts the corresponding temperature influence coefficient.

[0048] It should also be noted that the vacuum areas (such as low vacuum area, sub-low vacuum area and high vacuum area) are divided according to the horizontal coordinate of the circulating water volume at the vacuum point, and targeted control instructions are generated in combination with the operating parameters. For example, in the low vacuum area, the energy consumption of the equipment is reduced by reducing the number of water pumps and lowering the frequency of the variable frequency pump; in the high vacuum area, the cooling capacity of the equipment is enhanced by increasing the number of water pumps and increasing the frequency of the variable frequency pump. The optimization instructions are adjusted in real time through the feedback mechanism to ensure timely and efficient optimization of the system performance. The instructions are also adjusted in real time through the feedback mechanism to further optimize the system performance, realizing the transformation of the cold end equipment from manual control to intelligent automatic optimization, combining real-time feedback with regional division logic to ensure equipment operation efficiency and stability.

[0049] Example 2 is an embodiment of the present invention, which provides a condenser optimization control method based on an isovacuum line. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0050] First, the experimental equipment includes a circulating water pump and a condenser system with real-time monitoring capabilities. The experimental environment is carried out under typical power plant conditions, simulating the dynamic changes of atmospheric temperature, circulating water temperature and cooling water flow. Sensors installed in the circulating water pump and condenser system collect data including atmospheric temperature, circulating water inlet temperature and outlet temperature, and cooling water flow. At the same time, the monitoring system records the condenser vacuum in real time. Based on these data, an isovacuum line model associated with temperature is established. The model contains a linear relationship between vacuum and cooling water flow, and dynamically introduces temperature factors to correct the slope and intercept of the model. During operation, a dynamic interpolation algorithm is used to correct the isovacuum line. The slope and intercept of the vacuum line are adjusted, and the initial model is corrected by calculating the deviation of the current environmental parameters (such as atmospheric temperature and water temperature) to ensure that the equal vacuum line can adapt to the operating conditions in real time. This adjustment directly affects the response accuracy of the cooling equipment. Based on the vacuum point calculated in real time, the low vacuum area, sub-low vacuum area and high vacuum area are divided. Combined with the actual position of the vacuum area, the circulating water pump variable frequency lifting or start and stop pump instructions are generated. In the low vacuum area, the system should reduce the number of circulating water pumps and reduce the operating frequency of the variable frequency pump in the low vacuum area. In the high vacuum area, the number of circulating water pumps should be increased and the operating frequency of the variable frequency pump should be increased. All adjustments are verified through the feedback mechanism and further optimized.

[0051] When the ambient temperature fluctuates greatly, the static model is difficult to adapt, resulting in unstable changes in vacuum degree and low control accuracy of the circulating water pump, which increases operating costs. By introducing the temperature-related isovacuum line model and dynamic adjustment mechanism, the system can adjust the slope and intercept in real time, thereby more accurately dividing the vacuum area and optimizing the cold end equipment operation strategy. At the same time, the feedback mechanism is used to further verify and optimize the adjustment effect, so that the equipment is always in an efficient operating state.

[0052] Example 3, reference Figure 2 , which is an embodiment of the present invention, provides a condenser optimization control system based on equal vacuum lines, including a data processing module, a dynamic adjustment module, and a region division module.

[0053] The data processing module is used to collect the circulating water volume and ambient temperature, and construct an isovacuum line model associated with the temperature; the dynamic adjustment module is used to dynamically adjust the slope and intercept of the isovacuum line and correct the model to adapt to the real-time working conditions; the area division module is used to divide the area based on the vacuum point position and generate the optimization control instructions for the cold end equipment.

[0054] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0055] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0056] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0057] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A condenser optimization control method based on isovacuum line, characterized in that: include: Collect the circulating water volume and ambient temperature, and build an isovacuum line model associated with temperature; Dynamically adjust the slope and intercept of the equal vacuum line and modify the model to adapt to the real-time working conditions; The area is divided based on the vacuum point position, and the optimized control instructions for the cold end equipment are generated.

2. The condenser optimization control method based on isovacuum line according to claim 1, characterized in that: The construction of the isovacuum line model associated with temperature includes collecting data of circulating water volume, condenser vacuum, atmospheric temperature, circulating water inlet temperature and outlet temperature in real time to establish the isovacuum line model, which is expressed as: Y=k·X+b Among them, Y is the vacuum degree, X is the circulating water volume, k is the slope of the isovacuum line, which indicates the rate at which the vacuum degree changes with the circulating water volume, and b is the intercept of the isovacuum line, which indicates the vacuum degree when the circulating water volume is zero. The initial k and b are fitted by historical operating data, and the temperature factor is introduced into the slope calculation model to establish the preliminary correction relationship between the temperature parameter and the slope and intercept.

3. The condenser optimization control method based on isovacuum line according to claim 2, characterized in that: The dynamic adjustment of the slope and intercept of the isovacuum line includes adjusting the slope and intercept of the isovacuum line by a dynamic interpolation algorithm so that the model adapts to the current operating conditions. The adjustment model is expressed as: k now =k ref +α·(T atm,now -T atm,ref )+β·(T in,now -T in,ref ) b now =b ref +γ·(T atm,now -T atm,ref )+δ·(T out,now -T out,ref ) Among them, k now is the slope of the current isovacuum line, k ref is the slope of the reference isovacuum line, T atm,now is the current atmospheric temperature, T atm,ref is the reference atmospheric temperature, T in,now is the current circulating water inlet temperature, T in,ref is the reference circulating water inlet temperature, T out,now is the current circulating water outlet temperature, T out,ref is the reference circulating water outlet temperature, b now is the intercept of the current isovacuum line, b ref is the intercept of the reference isovacuum line, α is the coefficient of the atmospheric temperature affecting the slope, β is the coefficient of the circulating water inlet temperature affecting the slope, γ is the coefficient of the atmospheric temperature affecting the intercept, and δ is the coefficient of the circulating water outlet temperature affecting the intercept.

4. The condenser optimization control method based on isovacuum line according to claim 3, characterized in that: The division of regions based on the vacuum point position includes calculating the circulating water volume corresponding to the current vacuum point, which is expressed as: Among them, X vacuum is the circulating water volume corresponding to the vacuum point, and Y is the current vacuum degree; According to the horizontal coordinate position of the vacuum point, the vacuum area is divided into low vacuum area Y<-97kPa, sub-low vacuum area -97kPa≤Y<-96kPa, and high vacuum area Y>-94kPa. The operation strategy of the cold end equipment is determined by combining the vacuum area with the operation parameters.

5. The condenser optimization control method based on isovacuum line according to claim 4, characterized in that: The generating of the optimization control instructions for the cold end equipment includes reducing the number of circulating water pumps and reducing the frequency of the variable frequency pump in the low vacuum area; In high vacuum areas, increase the number of circulating water pumps and improve the operating frequency of variable frequency pumps; In the sub-low vacuum area, maintain the current number of units in operation and fine-tune the frequency; Control instructions are dynamically generated through logical judgment and combined with real-time data, and sent to the device execution system.

6. The condenser optimization control method based on isovacuum line according to claim 5, characterized in that: The generation of the optimization control instructions for the cold end equipment also includes collecting the adjusted equipment operation status data, including the circulating water pump current, the operation frequency, the unit power generation load and the change of the condenser vacuum degree, comparing the feedback data with the operation status before the adjustment, re-evaluating the position of the vacuum point on the equal vacuum line, and dynamically updating the slope k now and intercept b now ,According to the real-time monitored circulating water volume and vacuum area division, the optimized control instructions are iteratively adjusted.

7. The condenser optimization control method based on isovacuum line according to claim 6, characterized in that: The generating of the optimization control instructions for the cold end equipment also includes displaying the circulating water volume, vacuum degree and corresponding area division of the current vacuum point in real time on the control system monitoring interface, and dynamically updating the equal vacuum line curve; Combined with the current operating data, a comparison chart of the operating status before and after the adjustment is drawn. The system analyzes the adjustment effect, continuously optimizes the equal vacuum line model, and adjusts the corresponding temperature influence coefficient.

8. A system using the condenser optimization control method based on isovacuum line according to any one of claims 1 to 7, characterized in that: Including data processing module, dynamic adjustment module, and area division module; The data processing module is used to collect the circulating water volume and the ambient temperature, and to construct an isovacuum line model associated with the temperature; The dynamic adjustment module is used to dynamically adjust the slope and intercept of the equal vacuum line and correct the model to adapt to the real-time working conditions; The area division module is used to divide the area based on the vacuum point position and generate optimization control instructions for the cold end equipment.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the condenser optimization control method based on the isovacuum line according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the condenser optimization control method based on the isovacuum line according to any one of claims 1 to 7 are implemented.

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