Method, system and equipment for predicting exhaust steam pressure of air cooling unit and medium

Abstract

The invention provides a method, system and equipment for predicting exhaust steam pressure of an air cooling unit and a medium. The method comprises the steps that an initial heat balance relation is established based on the initial air cooling condenser inlet temperature, the initial heat dissipation coefficient, the initial air cooling condenser air outlet temperature, the initial exhaust steam temperature and the initial air cooling fan mass flow; the mass change flow of the air cooling fan is calculated based on the initial air cooling fan frequency; a first incidence relation is established based on the initial air cooling fan mass flow and the initial heat dissipation coefficient, and a heat dissipation variation coefficient is obtained; based on the heat dissipation variation coefficient, the mass variation flow of the air cooling fan, the inlet temperature of the air cooling condenser, the air outlet variation temperature of the air cooling condenser and the exhaust variation temperature of the air cooling condenser, a variable working condition initial heat balance relation is constructed; associating the variable-working-condition heat balance relation with the initial heat balance relation to obtain a variable-working-condition heat balance relation; the exhaust steam change temperature is obtained through the relation between the charge change difference and the variable working condition heat balance, and then the predicted exhaust pressure is obtained through calculation. According to the method, accurate prediction of the exhaust steam pressure is realized.

Description

Technical Field

[0001] The invention belongs to the technical field of energy saving and consumption reduction of coal-fired units, and specifically belongs to a method, system, equipment and medium for predicting exhaust steam pressure of air-cooled units. Background Art

[0002] In coal-fired power units, the goal of energy conservation and emission reduction has prompted us to continuously explore optimization solutions. When the optimization space of the hot end parameters is limited, the optimization of the cold end is particularly important, especially in the context of the rapid development of new energy. Air-cooled units need to adjust their operating status in real time according to the power generation of new energy, which makes the adjustment of the cold end operation mode more frequent and complex; for air-cooled units, due to their water-saving characteristics, they have been widely used in some of our coal-rich and water-scarce areas. However, since air-cooled units are greatly affected by ambient temperature, when the ambient temperature of the air-cooled units changes greatly, the exhaust pressure of the air-cooled units also changes dramatically, which has a serious impact on the stable operation and economy of the units. Therefore, it is particularly important to predict the exhaust pressure of air-cooled units in order to adjust the operation mode of the cold end equipment according to the unit output and environmental conditions.

[0003] At present, during the operation of an air-cooled unit, the exhaust pressure on an air-cooled steam turbine is predicted by obtaining the operating efficiency of the air-cooled steam turbine itself, the heat transfer coefficient of an air-cooled condenser, the fan mass flow rate and the ambient temperature, and predicting the operating efficiency of the air-cooled steam turbine itself, the heat transfer coefficient of an air-cooled condenser, the fan mass flow rate and the ambient temperature using a prediction curve corresponding to the air-cooled steam turbine. The prediction curve is obtained by fitting the rated parameters of the air-cooled steam turbine. In the process of predicting the exhaust pressure of the air-cooled steam turbine using the prediction curve, the operating state of the air-cooled steam turbine and the cleanliness of the condenser are not taken into account. Therefore, the predicted exhaust pressure deviates greatly from the exhaust result to be achieved during the actual operation of the air-cooled unit. As a result, the predicted exhaust pressure causes the air-cooled unit to fail to reach the optimal operating state, resulting in a loss of energy in the function of the air-cooled unit. Summary of the invention

[0004] In order to solve the problem that the exhaust pressure predicted by the prediction curve of the existing air-cooling unit has a large deviation and cannot be predicted under variable operating conditions based on the real-time performance of the unit, the present invention provides a method, system, equipment and medium for predicting the exhaust pressure of an air-cooling unit.

[0005] To achieve the above object, the present invention provides the following technical solutions: The present invention provides a method for predicting exhaust steam pressure of an air-cooled unit, comprising the following steps: Based on the initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establishing initial thermal equilibrium relationship; Based on the initial air cooling fan frequency Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; Based on initial air cooling fan mass flow With the initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; Based on the heat dissipation coefficient of variation , the air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation The initial thermal balance relationship of variable working conditions is constructed; Associating the variable operating condition heat balance relationship with the initial heat balance relationship based on the first association relationship to obtain a variable operating condition heat balance relationship; The variable operating condition heat balance relationship is optimized based on the charge change difference to obtain the exhaust steam change temperature; The predicted exhaust pressure is calculated based on the exhaust steam variation temperature .

[0006] Preferably, the initial thermal equilibrium relationship is:

[0007] in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the specific heat capacity at constant pressure, is the heat dissipation area, and and are constants, is the heat dissipation coefficient, is the initial exhaust steam temperature.

[0008] Preferably, the initial air cooling fan frequency is obtained based on Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow The calculation process is:

[0009] in, is the initial air cooling fan mass flow rate, is the initial air cooling fan frequency, It is the frequency change of air cooling fan under variable working conditions.

[0010] Preferably, the first association relationship is:

[0011] in, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the initial heat dissipation coefficient.

[0012] Preferably, the initial heat balance relationship of the variable operating condition is:

[0013] in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the specific heat capacity at constant pressure, is the heat dissipation area, and and are all constants.

[0014] The variable operating condition heat balance relationship is:

[0015] in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the initial air cooling fan mass flow rate.

[0016] Preferably, the step of optimizing the variable operating condition heat balance relationship based on the charge change gap to obtain the exhaust pressure calculation model includes: Calculate the charge change difference based on the predicted working condition load and the current load; Determine the relationship between the charge change gap and the preset threshold; If the charge change difference is less than the preset threshold, <preset threshold, determine to obtain a first relationship, optimize the variable operating condition heat balance relationship based on the first relationship, obtain a first calculation model for the exhaust steam change temperature, and calculate the exhaust steam change temperature based on the first calculation model; If the charge change difference is greater than the preset threshold, >Preset a threshold, determine to obtain a second relationship, optimize the variable operating condition heat balance relationship based on the second relationship, obtain a second calculation model for the exhaust steam change temperature, and calculate the exhaust steam change temperature based on the second calculation model; The calculation process of the charge change gap is as follows:

[0017] in, is the current power load, Predicting the electrical load under working conditions; The first relationship is the exhaust steam temperature variation Air condenser outlet temperature fluctuation The difference is equal to the exhaust temperature Initial air condenser outlet temperature The difference between The first calculation model is:

[0018] in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the initial exhaust steam temperature; The second relationship is the current electrical load within the engineering accuracy And the predicted working condition electric load is proportional to; The second calculation model is:

[0019] in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the initial exhaust steam temperature.

[0020] Preferably, the predicted exhaust pressure is calculated based on the exhaust steam variation temperature The process is:

[0021] in, To predict the exhaust pressure, is the exhaust steam temperature variation.

[0022] The present invention proposes a method for predicting exhaust steam pressure of an air-cooling unit, comprising: The first processing unit is configured as follows: For initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establishing initial thermal equilibrium relationship; The second processing unit is configured as follows: For initial air cooling fan frequency based on Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; The third processing unit is configured as follows: For initial air cooling fan mass flow With the initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; The fourth processing unit is configured to: For the thermal coefficient of variation based on the , the air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation The initial thermal balance relationship of variable working conditions is constructed; The fifth processing unit is configured to: for associating the variable operating condition heat balance relationship with the initial heat balance relationship based on the first association relationship to obtain a variable operating condition heat balance relationship; The sixth processing unit is configured to: Used to optimize the variable operating condition heat balance relationship based on the charge change difference to obtain the exhaust steam change temperature; The computing unit is configured as: Used to calculate the predicted exhaust pressure based on the exhaust steam variation temperature

[0023] Output unit, configured as: Used to output predicted exhaust pressure .

[0024] The present invention proposes a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for predicting exhaust steam pressure of an air-cooled unit are implemented.

[0025] The present invention proposes a computer-readable storage medium, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the method for predicting exhaust steam pressure of an air-cooling unit are implemented.

[0026] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention proposes a method for predicting exhaust pressure of an air-cooled unit. The method establishes an initial thermal balance relationship by integrating key parameters such as initial air-cooled condenser inlet temperature, initial heat dissipation coefficient, initial air-cooled condenser outlet temperature, initial exhaust temperature and initial air-cooled fan mass flow rate. Then, the air-cooled fan mass change flow rate is determined by the initial air-cooled fan frequency and the air-cooled fan change frequency under variable operating conditions. The influence of operating condition changes on the system is considered. By constructing a correlation between the heat dissipation change coefficient and the initial heat dissipation coefficient and the air-cooled fan mass flow rate, a dynamic evaluation of the heat dissipation performance is achieved. Then, the variable operating condition initial thermal balance relationship is constructed. By correlating the initial thermal balance relationship, a thermal balance relationship model suitable for different operating conditions is obtained, the impact of operating condition changes on system performance is taken into account, and the charge change gap is reduced through optimization processing, thereby improving the accuracy and reliability of the prediction. This method infers the operating conditions under variable conditions based on the existing operating conditions, and predicts the exhaust pressure under variable conditions in real time based on the existing operating level, thereby achieving accurate prediction of the exhaust pressure, significantly improving the operating efficiency and stability of the air-cooled unit, and enabling the operating personnel to adjust the air-cooled unit under variable conditions in real time through the exhaust pressure, so that the air-cooled unit can reach the optimal operating state.

[0027] Furthermore, the method calculates the charge change gap between the predicted operating condition electrical load and the actual electrical load, and intelligently selects the optimization path based on the comparison result of this gap with the preset threshold value. When the charge change gap is small, the method uses the first relationship for optimization, that is, based on the difference relationship between the exhaust steam change temperature and the air outlet change temperature of the air-cooled condenser, a first calculation model is constructed, and the thermal balance relationship under the initial conditions is fully utilized. By adjusting the parameters, the accurate prediction of the exhaust steam change temperature is achieved. When the charge change gap is large, the method switches to the second relationship for optimization, that is, the proportional relationship between the actual electrical load and the predicted operating condition electrical load within the engineering precision is used to construct the second calculation model, which takes into account the significant impact of the operating condition change on the system performance and improves the accuracy of the prediction model under extreme conditions. Both calculation models fully consider the impact of the change in the mass flow rate of the air-cooled fan on the thermal balance of the system and achieve accurate prediction of the exhaust steam change temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 Schematic diagram of a method for predicting exhaust steam pressure for an air-cooled unit; Figure 2 A schematic diagram of a computer device provided by an embodiment of the present invention; Figure 3 The block diagram of a chip provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0030] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0031] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0032] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0033] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0034] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0035] See also Figure 1 The present invention proposes a method for predicting exhaust pressure of an air-cooled unit, comprising the following steps: Based on the initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establishing initial thermal equilibrium relationship; The initial heat balance relationship is: (1) in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the specific heat capacity at constant pressure, is the heat dissipation area, and and are constants, is the heat dissipation coefficient, is the initial exhaust steam temperature.

[0036] Based on the initial air cooling fan frequency Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; and air cooling fan mass flow Change to air cooling fan mass change flow Depends on the operation mode of the air cooling fan under variable working conditions. Generally, when the load increases and the ambient temperature increases, the air cooling fan mass change flow can be predicted. The working conditions are unchanged and increased; the load is reduced, the ambient temperature is reduced, and the air cooling fan mass change flow can be predicted Unchanged and reduced operating conditions.

[0037] Air cooling fan mass change flow The calculation process is: (2) in, is the initial air cooling fan mass flow rate, is the initial air cooling fan frequency, It is the frequency change of air cooling fan under variable working conditions.

[0038] Based on initial air cooling fan mass flow Initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; The first relationship is: (4) in, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the initial heat dissipation coefficient.

[0039] Based on the coefficient of variation of heat dissipation , air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation The initial thermal balance relationship of variable working conditions is constructed; The initial heat balance relationship of variable working conditions is: (5) in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the specific heat capacity at constant pressure, is the heat dissipation area, and and are all constants.

[0040] Correlating the variable operating condition heat balance relationship with the initial heat balance relationship to obtain the initial variable operating condition heat balance relationship; Due to the constant pressure specific heat and heat dissipation area are all constants, and the initial variable operating condition heat balance relationship is obtained as follows: (6) in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the coefficient of variation of heat dissipation; The first correlation relationship is introduced to deform the initial variable operating condition heat balance relationship to obtain the variable operating condition heat balance relationship; (7) in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the initial air cooling fan mass flow rate; The heat balance relationship of variable working conditions is optimized through the charge change gap to obtain the exhaust steam change temperature; Specifically, the charge change difference is calculated by obtaining the predicted working condition electrical load and the current electrical load; Among them, the calculation process of the charge change gap is: (8) in, is the current power load, Predicting the electrical load under working conditions; Then, the relationship between the charge change difference and the preset threshold is determined, where the preset threshold is 5%; If the charge change difference is less than the preset threshold, <5%, the first relationship is determined, the first relationship is the exhaust steam temperature change Air condenser outlet temperature fluctuation The difference is equal to the exhaust temperature Initial air condenser outlet temperature The difference, that is ; By optimizing the variable working condition heat balance relationship through the first relationship, Introduced into formula (7), we get (9) The first calculation model of the exhaust steam variation temperature is obtained by transforming formula (9), and the exhaust steam variation temperature is calculated based on the first calculation model; The first calculation model is: (10) in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the initial exhaust steam temperature; If the charge change difference is greater than the preset threshold, >5%, the second relationship is determined; The second relationship is the actual electrical load within the engineering accuracy And the predicted working condition electric load Proportional to the heat dissipation, at this time there is a large change; Right now , then ; Then we can get: (11) By transforming formula (11), we can obtain: (12) in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. The initial air condenser outlet temperature variation under variable working conditions; The variable operating condition heat balance relationship is optimized through the second relationship, that is, formula (12) is substituted into formula (7) to obtain the second calculation model of exhaust steam variable temperature; The second calculation model is: (13) in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air outlet temperature of the air condenser under variable working conditions, is the initial exhaust steam temperature.

[0041] The exhaust steam variation temperature is obtained by calculating through the second calculation model; The calculated exhaust steam temperature By varying the exhaust steam temperature The constructed multivariate function calculates the predicted exhaust pressure .

[0042] Exhaust steam temperature fluctuation Calculate the predicted exhaust pressure The process is:

[0043] in, To predict the exhaust pressure, is the exhaust steam temperature variation.

[0044] The present invention proposes a method for predicting exhaust steam pressure of an air-cooling unit. The system can be used to implement the above-mentioned method for predicting exhaust steam pressure of an air-cooling unit. Specifically, the method for predicting exhaust steam pressure of an air-cooling unit includes a first processing unit, a second processing unit, a third processing unit, a fourth processing unit, a fifth processing unit, a sixth processing unit, a calculation unit and an output unit.

[0045] Wherein, the first processing unit is configured as: For initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establishing initial thermal equilibrium relationship; The second processing unit is configured as follows: For initial air cooling fan frequency based on Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; The third processing unit is configured as follows: For initial air cooling fan mass flow Initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; The fourth processing unit is configured to: For heat dissipation based on coefficient of variation , air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation The initial thermal balance relationship of variable working conditions is constructed; The fifth processing unit is configured to: for associating the variable operating condition heat balance relationship with the initial heat balance relationship based on the first association relationship to obtain the variable operating condition heat balance relationship; The sixth processing unit is configured to: It is used to optimize the heat balance relationship of variable working conditions based on the charge change gap and obtain the exhaust steam change temperature; The computing unit is configured as: For variable exhaust temperature Calculate the predicted exhaust pressure

[0046] Output unit, configured as: Used to output predicted exhaust pressure

[0047] In another embodiment of the present invention, a computer device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the method for predicting the exhaust pressure of an air-cooled unit, including: Based on the initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establish initial heat balance relationship; based on initial air cooling fan frequency Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; Based on the initial air cooling fan mass flow Initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; Based on the coefficient of variation of heat dissipation , air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation Construct the initial heat balance relationship of the variable working condition; associate the heat balance relationship of the variable working condition with the initial heat balance relationship based on the first correlation relationship to obtain the heat balance relationship of the variable working condition; optimize the heat balance relationship of the variable working condition based on the charge change difference to obtain the exhaust steam change temperature; based on the exhaust steam change temperature Calculate the predicted exhaust pressure .

[0048] In another embodiment of the present invention, the present invention also provides a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (Non-VolatileMemory), such as at least one disk memory.

[0049] The processor may load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for predicting exhaust pressure of an air-cooled unit in the above embodiment; the processor may load and execute the following steps: Based on the initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establish initial heat balance relationship; based on initial air cooling fan frequency Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; Based on the initial air cooling fan mass flow Initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; Based on the coefficient of variation of heat dissipation , air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation Construct the initial heat balance relationship of the variable working condition; associate the heat balance relationship of the variable working condition with the initial heat balance relationship based on the first correlation relationship to obtain the heat balance relationship of the variable working condition; optimize the heat balance relationship of the variable working condition based on the charge change difference to obtain the exhaust steam change temperature; based on the exhaust steam change temperature Calculate the predicted exhaust pressure .

[0050] See also Figure 2 The terminal device is a computer device. The computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the method for calculating the composition of fluid in the reservoir transformation wellbore in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the calculation system for the composition of fluid in the reservoir transformation wellbore in the embodiment are implemented. To avoid repetition, it is not described one by one here.

[0051] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 2 It is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0052] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, central processing units, graphics processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, data processing logic based on quantum computing, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0053] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the computer device 60.

[0054] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0055] Any reference to a memory, database or other medium used in the embodiments provided in the present application may include at least one of a non-volatile and a volatile memory. Non-volatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, a high-density embedded non-volatile memory, a resistive random access memory (ReRAM), a magnetic random access memory (MRAM), a ferroelectric random access memory (FRAM), a phase change memory (PCM), a graphene memory, etc. Volatile memory may include a random access memory (RAM) or an external cache memory, etc. As an illustration and not limitation, RAM may be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), etc.

[0056] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0057] See also Figure 3 , the terminal device is a chip, and the chip 600 of this embodiment includes a processor 622, which may be one or more, and a memory 632 for storing a computer program executable by the processor 622. The computer program stored in the memory 632 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 622 may be configured to execute the computer program to execute the above-mentioned generalizable monocular absolute depth map estimation method.

[0058] In addition, the chip 600 may further include a power supply component 626 and a communication component 650, wherein the power supply component 626 may be configured to perform power management of the chip 600, and the communication component 650 may be configured to implement communication, for example, wired or wireless communication, of the chip 600. In addition, the chip 600 may further include an input / output interface 658. The chip 600 may operate based on an operating system stored in the memory 632.

[0059] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0060] In addition, it should be understood that although this specification is described in accordance with the implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art. The above content is only to illustrate the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution according to the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A method for predicting exhaust steam pressure of an air-cooled unit, characterized in that: The following steps are involved: Based on the initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establishing initial thermal equilibrium relationship; Based on the initial air cooling fan frequency Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; Based on initial air cooling fan mass flow With the initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; Based on the heat dissipation coefficient of variation , the air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation The initial thermal balance relationship of variable working conditions is constructed; Associating the variable operating condition heat balance relationship with the initial heat balance relationship based on the first association relationship to obtain a variable operating condition heat balance relationship; The variable operating condition heat balance relationship is optimized based on the charge change difference to obtain the exhaust steam change temperature; Based on the exhaust steam temperature variation Calculate the predicted exhaust pressure .

2. The method for predicting exhaust steam pressure of an air-cooling unit according to claim 1, characterized in that: The initial thermal equilibrium relationship is: in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the specific heat capacity at constant pressure, is the heat dissipation area, and and are constants, is the heat dissipation coefficient, is the initial exhaust steam temperature.

3. The method for predicting exhaust steam pressure of an air-cooling unit according to claim 1, characterized in that: The method is based on obtaining the initial air cooling fan frequency Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow The calculation process is: in, is the initial air cooling fan mass flow rate, is the initial air cooling fan frequency, It is the frequency change of air cooling fan under variable working conditions.

4. The method for predicting exhaust steam pressure of an air-cooling unit according to claim 1, characterized in that: The first association relationship is: in, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the initial heat dissipation coefficient.

5. The method for predicting exhaust steam pressure of an air-cooling unit according to claim 1, characterized in that: The initial heat balance relationship of the variable working condition is: in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air condenser outlet temperature variation under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the specific heat capacity at constant pressure, is the heat dissipation area, and and All are constants; The variable operating condition heat balance relationship is: in, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air condenser outlet temperature variation under variable working conditions, is the mass change flow of the air cooling fan, is the coefficient of variation of heat dissipation, is the initial air cooling fan mass flow rate.

6. The method for predicting exhaust steam pressure of an air-cooling unit according to claim 1, characterized in that: The optimization of the variable operating condition heat balance relationship based on the charge change difference to obtain the exhaust pressure calculation model includes: Calculate the charge change difference based on the predicted working condition load and the current load; Determining the relationship between the charge change gap and a preset threshold; If the charge change difference is less than the preset threshold, <preset threshold, determine to obtain a first relationship, optimize the variable operating condition heat balance relationship based on the first relationship, obtain a first calculation model for the exhaust steam change temperature, and calculate the exhaust steam change temperature based on the first calculation model; If the charge change difference is greater than the preset threshold, >Preset a threshold, determine to obtain a second relationship, optimize the variable operating condition heat balance relationship based on the second relationship, obtain a second calculation model for the exhaust steam change temperature, and calculate the exhaust steam change temperature based on the second calculation model; The calculation process of the charge change gap is as follows: in, is the current power load, Predicting the electrical load under working conditions; The first relationship is the exhaust steam temperature variation Air condenser outlet temperature fluctuation The difference is equal to the exhaust temperature Initial air condenser outlet temperature The difference between The first calculation model is: in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air condenser outlet temperature variation under variable working conditions, is the initial exhaust steam temperature; The second relationship is the current electrical load within the engineering accuracy And the predicted working condition electric load is proportional to; The second calculation model is: in, is the initial air condenser inlet temperature, is the initial air outlet temperature of the air condenser, is the initial air cooling fan mass flow rate, is the mass change flow of the air cooling fan, is the variable temperature of the air-cooled condenser inlet under variable working conditions. is the initial air condenser outlet temperature variation under variable working conditions, is the initial exhaust steam temperature.

7. The method for predicting exhaust steam pressure of an air-cooling unit according to claim 1, characterized in that: Based on the exhaust steam temperature variation Calculate the predicted exhaust pressure The process is: in, To predict the exhaust pressure, is the exhaust steam temperature variation.

8. A method for predicting exhaust steam pressure of an air-cooled unit, characterized in that: include: The first processing unit is configured as follows: For initial ACC inlet temperature , initial heat dissipation coefficient , Initial air condenser outlet temperature , Initial exhaust steam temperature and initial air cooling fan mass flow Establishing initial thermal equilibrium relationship; The second processing unit is configured as follows: For initial air cooling fan frequency based on Air cooling fan frequency under variable working conditions Calculate the air cooling fan mass change flow ; The third processing unit is configured as follows: For initial air cooling fan mass flow With the initial heat dissipation coefficient Establish a first correlation relationship, and calculate the heat dissipation variation coefficient based on the first correlation relationship ; The fourth processing unit is configured to: For the thermal coefficient of variation based on the , the air cooling fan mass change flow Air condenser inlet temperature , Air condenser outlet temperature change , Exhaust steam temperature fluctuation The initial thermal balance relationship of variable working conditions is constructed; The fifth processing unit is configured to: for associating the variable operating condition heat balance relationship with the initial heat balance relationship based on the first association relationship to obtain a variable operating condition heat balance relationship; The sixth processing unit is configured to: Used to optimize the variable operating condition heat balance relationship based on the charge change difference to obtain the exhaust steam change temperature; The computing unit is configured as: For the exhaust steam temperature variation based on the Calculate the predicted exhaust pressure Output unit, configured as: Used to output predicted exhaust pressure .

9. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for predicting the exhaust steam pressure of an air-cooled unit as claimed in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: It comprises a computer program, which, when executed by a processor, implements the steps of the method for predicting the exhaust steam pressure of an air-cooling unit as described in any one of claims 1 to 7.

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