Condenser optimization control method and system based on equal vacuum line

Abstract

The present invention discloses a condenser optimization control method and system based on isovacuum lines, which relates to the field of condenser optimization control technology. The method and system include collecting circulating water volume and ambient temperature, 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. The method of the present invention improves the adaptability of the model through the adjustment mechanism, eliminates the control error caused by ambient temperature or load fluctuations, and significantly improves the energy efficiency of the cooling system through precise dynamic optimization and intelligent control, reduces energy consumption, and effectively reduces dependence on manual operation, further improving the automation level of the system. Compared with the existing technology, the present invention shows better performance in ensuring system reliability, stability and operating efficiency, and promotes the development of cold end control technology in a more efficient and intelligent direction.

Description

Technical Field

[0001] The present 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, the performance optimization of condensers, as an important part of thermal systems, has received widespread attention. Traditional condenser control methods are usually based on static models, and the improvement of operating efficiency is achieved 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 working 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 the introduction of 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 existing technologies have introduced dynamic monitoring and parameter optimization into cooling system control, their main limitations are reflected in the following aspects: existing vacuum control technologies usually rely 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. Existing optimization algorithms usually focus 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 implemented in existing technologies. The start-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 operating 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 an isovacl line, comprising collecting circulating water volume and ambient temperature, and constructing an isovacl line model associated with temperature; dynamically adjusting the slope and intercept of the isovacl 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 embodiment of the condenser optimization control method based on isovacuum lines according to the present invention, the construction of an isovacuum line model associated with temperature includes establishing an isovacuum line model by real-time collection of data on circulating water volume, condenser vacuum, atmospheric temperature, circulating water inlet temperature, and outlet temperature, which is expressed as follows:

[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 isovaler line, which indicates the rate at which the vacuum degree changes with the circulating water volume, and b is the intercept of the isovaler 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 a preliminary correction relationship between the temperature parameter and the slope and intercept.

[0010] As a preferred embodiment of the condenser optimization control method based on the 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 to adapt the model to the current operating conditions. The adjusted 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 atmospheric temperature affecting the slope, β is the coefficient of circulating water inlet temperature affecting the slope, γ is the coefficient of atmospheric temperature affecting the intercept, and δ is the coefficient of circulating water outlet temperature affecting the intercept.

[0014] As a preferred solution of the condenser optimization control method based on the isovaling line 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 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 and the operating parameters.

[0017] As a preferred solution of the condenser optimization control method based on the equal vacuum line described in the present invention, the optimization control instructions for generating 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; 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 embodiment of the condenser optimization control method based on the isovacuum line of the present invention, the generation of the optimization control instruction for the cold end equipment further includes collecting the adjusted equipment operating status data, including the changes in the circulating water pump current, operating frequency, unit power generation load and condenser vacuum degree, comparing the feedback data with the operating 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 solution of the condenser optimization control method based on the isovacuum line described in the present invention, the generation of optimization control instructions for the 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 update of the isovacuum line curve; combining the current operating data to draw a comparison chart of the operating status before and after adjustment, 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 working 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 the isovacuum line 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 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 includes a memory and a processor. The memory stores a computer program. The processor executes the computer program to implement the steps of a condenser optimization control method based on an isovacl 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 isovacl line.

[0024] Beneficial effects of the present invention: The condenser optimization control method based on the equal vacuum line provided by the present invention solves the problem of insufficient static parameters in the traditional equal vacuum 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 fluctuations is eliminated, laying 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 existing technology, the present invention shows better performance in ensuring system reliability, stability and operating efficiency, and promotes the development of cold end control technology towards 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 following briefly introduces the drawings required for use in the description of the embodiments. 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 any creative work.

[0026] Figure 1 This is an overall flow chart of the condenser optimization control method based on the equal vacuum line provided in the first embodiment of the present invention.

[0027] Figure 2 This is an overall flow chart of the condenser optimization control system based on the equal vacuum line provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0028] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that 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 persons in this field without creative work should fall within the scope of protection of the present invention.

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

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

[0031] Furthermore, the construction of the temperature-related isovacuum line model includes collecting data on the circulating water volume, condenser vacuum, atmospheric temperature, circulating water inlet temperature, and outlet temperature in real time to establish the isovacuum line model, which can be 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 isovaler line, which indicates the rate at which the vacuum degree changes with the circulating water volume, and b is the intercept of the isovaler 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 a 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, the dynamic adjustment of 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 atmospheric temperature affecting the slope, β is the coefficient of circulating water inlet temperature affecting the slope, γ is the coefficient of atmospheric temperature affecting the intercept, and δ is the coefficient of circulating water outlet temperature affecting the intercept.

[0040] It should be noted that the dynamic adjustment mechanism solves the adaptation problem of traditional fixed models when 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 cold-end equipment.

[0041] S3: Divide the area based on the vacuum point position and generate optimized 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 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 and the operating parameters.

[0045] It should be noted that the generation of optimized control instructions for cold-end equipment includes reducing the number of circulating water pumps and lowering the frequency of variable-frequency pumps in low-vacuum areas; increasing the number of circulating water pumps and increasing the operating frequency of variable-frequency pumps in high-vacuum areas; and maintaining the current number of operating pumps and fine-tuning the frequency in sub-low-vacuum areas. 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 optimized control instructions for the cold-end equipment also includes collecting the adjusted equipment operating status data, including the changes in the circulating water pump current, operating frequency, unit power load and condenser vacuum, 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 according to the horizontal coordinate of the circulating water volume at the vacuum point, the vacuum area is divided (such as low vacuum area, sub-low vacuum area and high vacuum area), 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 isovacl 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 condenser system with real-time monitoring capabilities. The experimental environment is carried out under typical power plant operating conditions, simulating the dynamic changes of atmospheric temperature, circulating water temperature and cooling water flow. Through sensors installed in the circulating water pump and condenser system, data including atmospheric temperature, circulating water inlet temperature and outlet temperature, as well as cooling water flow are collected. 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 degree 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. By calculating the deviation of the current environmental parameters (such as atmospheric temperature and water temperature), the initial model is corrected 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-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 pumps. In the high vacuum area, the number of circulating water pumps should be increased and the operating frequency of the variable frequency pumps 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 a temperature-related isovacl line model and a 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 modify 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 optimized 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 and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments 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, and other media that can store program code.

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

[0056] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be 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 various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc. It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and are not intended to be limiting. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced with equivalents without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications should be encompassed by the claims of the present invention.

Claims

1. The condenser optimization control method based on the isovacuum line is characterized in that: include: Collect the circulating water volume and ambient temperature, and build an isovacuum line model related to temperature; Dynamically adjust the slope and intercept of the vacuum line to modify the model to adapt to the real-time working conditions; Divide the area based on the vacuum point position and generate optimized control instructions for the cold end equipment; The construction of the temperature-related isovacuum line model includes collecting data on the 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 Where Y is the vacuum degree, X is the circulating water volume, k is the slope of the isovaler line, which indicates the rate at which the vacuum degree changes with the circulating water volume, and b is the intercept of the isovaler 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 a preliminary correction relationship between the temperature parameter and the slope and intercept. 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 atmospheric temperature affecting the slope, β is the coefficient of circulating water inlet temperature affecting the slope, γ is the coefficient of atmospheric temperature affecting the intercept, and δ is the coefficient of circulating water outlet temperature affecting the intercept.

2. The condenser optimization control method based on the isovacuum line according to claim 1, 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 operating parameters.

3. The condenser optimization control method based on the isovacuum line according to claim 2, characterized in that: The generation of optimized control instructions for the cold end equipment includes reducing the number of circulating water pumps and lowering the frequency of the variable frequency pump in the low vacuum area; In high vacuum areas, increase the number of circulating water pumps and increase the operating frequency of variable frequency pumps; In the sub-low vacuum area, maintain the current number of running units 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.

4. The condenser optimization control method based on the isovacuum line according to claim 3, characterized in that: The generation of the optimization control instructions for the cold end equipment also includes collecting the adjusted equipment operating status data, including the changes in the circulating water pump current, operating frequency, unit power generation load and condenser vacuum, 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.

5. The condenser optimization control method based on the isovacuum line according to claim 4, characterized in that: Generating 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.

6. A system using the condenser optimization control method based on the isovacuum line according to any one of claims 1 to 5, 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 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 modify 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.

7. 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 5 are implemented.

8. 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 5 are implemented.

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