Injection pump operation data generation method and device, equipment and medium

Abstract

The invention discloses an injection pump operation data generation method and device, equipment and a medium. The method comprises the steps of obtaining model initial information corresponding to an injection pump model, wherein the model initial information comprises steam side state information, liquid side state information and outlet side state information; according to the model initial information and a pressure flow balance rule, predicting first operation environment data of the injection pump model at the target time; according to the model initial information and a heat transfer balance rule, predicting second operation environment data of the injection pump model at the target time; according to the model initial information and a component balance rule, predicting third operation environment data of the injection pump model at the target time; and according to the first operation environment data, the second operation environment data and the third operation environment data, determining target operation data of the injection pump model at the target time. The embodiment of the invention can improve the accuracy of generating the operation data of the injection pump.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, apparatus, equipment, and medium for generating jet pump operation data. Background Technology

[0002] With the rapid development of technology, the types of steam jet pumps have gradually increased. They can use the high-speed steam of the steam jet pump to form negative pressure to suck up fluids and are widely used in fluid transportation in chemical and other fields (such as condensate suction or tail gas recovery).

[0003] Currently, the methods for obtaining operational status data from steam jet pump simulation models do not take into account the gas-liquid heat exchange state inside the steam jet pump model, and are not suitable for obtaining operational status data of steam jet pumps with gas-liquid two phases. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and medium for generating jet pump operating data, in order to improve the accuracy of jet pump operating data generation.

[0005] In a first aspect, embodiments of the present invention provide a method for generating jet pump operating data, the method comprising:

[0006] Obtain the initial model information corresponding to the jet pump model. The initial model information includes steam side state information, liquid side state information and outlet side state information.

[0007] Based on the initial model information and pressure-flow balance rules, predict the first operating environment data of the jet pump model at the target time;

[0008] Based on the initial model information and heat transfer balance rules, predict the second operating environment data of the jet pump model at the target time;

[0009] Based on the initial model information and component balance rules, predict the third operating environment data of the jet pump model at the target time;

[0010] Based on the first operating environment data, the second operating environment data, and the third operating environment data, the target operating data of the jet pump model at the target time is determined.

[0011] Secondly, embodiments of the present invention also provide a jet pump operation data generation device, the device comprising:

[0012] The initial information acquisition module is used to acquire the initial information of the ejector pump model, which includes steam-side state information, liquid-side state information and outlet-side state information.

[0013] The first data prediction module is used to predict the first operating environment data of the jet pump model at the target time based on the initial information of the model and the pressure-flow balance rule.

[0014] The second data prediction module is used to predict the second operating environment data of the jet pump model at the target time based on the initial information of the model and the heat transfer balance rules.

[0015] The third data prediction module is used to predict the third operating environment data of the jet pump model at the target time based on the initial model information and component balance rules.

[0016] The target data determination module is used to determine the target operating data of the jet pump model at the target time based on the first operating environment data, the second operating environment data, and the third operating environment data.

[0017] Thirdly, embodiments of the present invention also provide a jet pump operation data generation device, the jet pump operation data generation device comprising:

[0018] At least one processor; and

[0019] A memory that is communicatively connected to at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the jet pump operation data generation method according to any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute and implement the jet pump operation data generation method of any embodiment of the present invention.

[0022] The technical solution of this invention obtains the initial model information corresponding to the ejector pump model, including steam-side state information, liquid-side state information, and outlet-side state information; predicts the first operating environment data of the ejector pump model at a target time based on the initial model information and pressure-flow balance rules; predicts the second operating environment data of the ejector pump model at a target time based on the initial model information and heat transfer balance rules; predicts the third operating environment data of the ejector pump model at a target time based on the initial model information and component balance rules; and determines the target operating data of the ejector pump model at the target time based on the first, second, and third operating environment data. By using multi-dimensional balance rules, the accuracy of the steam ejector pump's operating process data is improved.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used 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 those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a jet pump operation data generation method according to Embodiment 1 of the present invention;

[0026] Figure 2 This is a flowchart of a jet pump operation data generation method according to Embodiment 2 of the present invention;

[0027] Figure 3 This is a structural diagram of a jet pump operation data generation device provided according to an embodiment of the present invention;

[0028] Figure 4 This is a schematic diagram of the structure of a jet pump operation data generation device provided in an embodiment of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] In the technical solutions of the embodiments of the present invention, the acquisition, storage and application of initial model information, etc., all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0032] Example 1

[0033] Figure 1 This is a flowchart illustrating a method for generating jet pump operating data according to Embodiment 1 of the present invention. This embodiment of the invention is applicable to the generation of jet pump operating data. The method can be executed by a jet pump operating data generation device, which can be implemented in hardware and / or software.

[0034] See Figure 1 The method for generating jet pump operating data shown includes:

[0035] S101. Obtain the initial information of the jet pump model, which includes steam side state information, liquid side state information and outlet side state information.

[0036] The jet pump model can be a simulation model of a steam jet pump. The initial model information can be a collection of descriptive information about the initial state of the steam jet pump simulation model before material injection. The steam-side state information can be a collection of thermodynamic and hydrodynamic state data of the steam, which serves as the power source in the steam jet pump, before entering the nozzle. This steam is typically high-pressure steam, and its state directly determines the pumping capacity and efficiency of the steam jet pump. The liquid-side state information refers to the collection of state data of the liquid (or gas-liquid mixture) being pumped by the jet pump before entering the pump's suction chamber. This liquid is the working object of the jet pump, and its state affects the stability of the pumping process and the mixing effect. The outlet-side state information refers to the collection of state data of the steam and the pumped liquid after energy exchange and mixing in the mixing chamber and diffuser of the jet pump, when the steam is discharged from the jet pump outlet, reflecting the final fluid state of the jet pump during operation.

[0037] Specifically, basic data on the initial state of the steam jet pump can be collected, including information on the steam side (such as steam pressure, temperature, flow rate, and composition), the liquid side (such as liquid pressure, temperature, flow rate, and composition), and the outlet side (such as initial pressure and temperature). It should be noted that pressure and flow rate data are not acquired simultaneously in the initial model information; unknowns in either pressure or flow rate can be calculated using pressure-flow balance rules. For example, assuming the steam jet pump is used to eject cold water using steam, the initial model information might be: steam side pressure 0.6 MPa, temperature 160°C. This initial model information is the starting point for model calculations, providing the basic data for the subsequent application of balance rules.

[0038] S102. Based on the initial information of the model and the pressure-flow balance rule, predict the first operating environment data of the jet pump model at the target time.

[0039] The pressure-flow balance rule is a core physical rule describing the fluid flow state within the jet pump. Essentially, it combines the law of conservation of mass with fluid flow characteristics to establish a quantitative relationship between the pressure and flow rate of each stream, used to solve for key parameters such as pressure and flow rate during jet pump operation. Its core logic is to satisfy both mass conservation and the fluid flow pattern within the equipment. The target time can be a preset time for acquiring the operating state of the steam jet pump. The first operating environment data can be descriptive information about the jet pump's environmental conditions at the target time determined according to the pressure-flow balance rule.

[0040] Specifically, the sum of the molar flow rate (or mass flow rate) of the steam-side fluid and the molar flow rate (or mass flow rate) of the liquid-side fluid is equal to the molar flow rate (or mass flow rate) of the mixed fluid on the outlet side. The formula can be expressed as: Fo = Fg + Fl (Fo is the outlet flow rate, Fg is the steam-side flow rate, and Fl is the liquid-side flow rate). Obtain the flow-related data from the initial model information (initial steam-side flow rate, initial liquid-side flow rate, steam-side pressure, and initial outlet-side pressure, etc.), as well as the equipment structure data (such as the actual pipe diameter d), and calculate the actual steam-side flow rate Fg at the target time. Based on Fo = Fg + Fl, calculate Fl and Fo using the liquid-side flow characteristics. Integrate the parameters Fg, Fl, Fo, and pressure difference Δp = pg - po at the target time to form the first operating environment data. The flow process of steam within the ejector pump can be considered as passing through a valve. Therefore, the steam flow rate will be calculated using the valve flow rate formula. Qg is the volumetric flow rate on the steam side, φ is the flow coefficient of the jet pump, dr is the relative pipe diameter of the jet pump, pg is the pressure on the steam side, po is the outlet pressure, ρg is the molar density on the steam side, and M is the average relative molecular weight on the steam side.

[0041] .

[0042] The flow coefficient φ is calculated based on the parameters calibrated by the user. In the formula, ms is the calibrated steam-side flow rate, ds is the calibrated pipe diameter, ps is the calibrated pressure drop, and ρs is the calibrated steam-side density.

[0043] .

[0044] S103. Based on the initial information of the model and the heat transfer balance rule, predict the second operating environment data of the jet pump model at the target time.

[0045] The heat transfer balance rule can be a descriptive statement that the heat released by the steam equals the heat absorbed by the liquid. The second set of operating environment data can be a collection of operating environment data related to heat transfer at the target time.

[0046] Specifically, a steam jet pump is a complex unit operation involving coupled mass and heat transfer. When used for liquid transport, it causes a temperature rise in the liquid. This temperature rise can lead to liquid evaporation, resulting in cavitation and affecting equipment performance and efficiency. This is especially true for steam jet pumps, which are often used for transporting corrosive and radioactive fluids, where the effects of cavitation must be considered. Therefore, a heat transfer model between steam and liquid needs to be established to calculate the heat exchange rate between them. Heat transfer-related data can be extracted from the initial information of the model, including the initial steam temperature Tg and flow rate Fg; the liquid inlet temperature Tl and flow rate Fl; equipment structural parameters (mixing zone volume V); and physical property parameters (specific heat capacity of steam and liquid, and heat transfer coefficient h, which can be obtained through a built-in database or empirical formulas). Based on the temperature variations of the steam and liquid sides, the average temperature difference ΔTm of the heat transfer process is determined (commonly the arithmetic mean temperature difference or the logarithmic mean temperature difference, selected based on the flow regime). The heat transfer area is calculated from the mixing zone volume V and the specific surface area a (A=V×a). The specific surface area can be determined through empirical formulas (combined with flow parameters such as Reynolds number Re and Frederick number Fr) or experimental data. The heat transfer load is calculated using the basic heat transfer equation Q=h×A×ΔTm (Q is the heat transfer load). Based on the heat transfer load and flow rate data, the enthalpy value at the liquid-side outlet is obtained. Then, the liquid-side outlet temperature is obtained from the correlation between enthalpy value and temperature. Finally, the data is integrated to obtain the second operating environment data.

[0047] S104. Based on the initial model information and component balance rules, predict the third operating environment data of the jet pump model at the target time.

[0048] The component balance rule can be a descriptive information indicating that the total inlet content of each component equals the total outlet content. The third, the operating environment data, can be a collection of descriptive information about the operating status of each component at the target time.

[0049] Specifically, extract component-related data from the initial model information, including the fraction (moles / mass) and target time flow rate of each component on the steam side; the fraction (moles / mass) and target time flow rate of each component on the liquid side; and identify the target components of interest (such as core media and impurity components). Determine the total inlet quantity of each component: For each component, calculate the quantity (moles or mass) of that component brought in from the steam and liquid sides respectively, and sum them to obtain the total inlet quantity. Determine the total outlet flow rate based on flow balance: The total outlet flow rate can be obtained from the first operating environment data (Fo=Fg+Fl or Fo,m=Fg,m+Fl,m). Calculate the fraction of each component on the outlet side: Divide the total inlet quantity of a component by the total outlet flow rate to obtain the fraction (mole fraction or mass fraction) of that component on the outlet side. Summarize the outlet fraction and outlet quantity of all components to form the final third operating environment data. For example, a steam jet pump is used to mix "saturated steam containing trace amounts of nitrogen" (steam side) and "clean water containing trace amounts of sodium chloride" (liquid side). The target time is 10 minutes after startup (equipment steady-state operation) with no chemical reaction occurring. Flow data (from the first operating environment): Steam side mass flow rate Fg,m = 48 kg / h, molar flow rate Fg = 1848 ≈ 2.67 kmol / h (based on water, ignoring the effect of trace nitrogen on molecular weight); Liquid side mass flow rate Fl,m = 202 kg / h, molar flow rate Fl = 18202 ≈ 11.22 kmol / h (based on water, ignoring the effect of trace sodium chloride on molecular weight); Total outlet mass flow rate Fo,m = 48 + 202 = 250 kg / h, total outlet molar flow rate Fo = 2.67 + 11.22 ≈ 13.89 kmol / h. Component data: Steam side: water mass fraction wg,1=99.95%, nitrogen mass fraction wg,2=0.05%; Liquid side: water mass fraction wl,1=99.99%, sodium chloride mass fraction wl,2=0.01%.

[0050] S105. Based on the first operating environment data, the second operating environment data, and the third operating environment data, determine the target operating data of the jet pump model at the target time.

[0051] The target operating data can be a collection of operating status data of the steam jet pump at the target time.

[0052] Specifically, the first set of operating environment data can be flow and pressure-related parameters (such as steam-side flow rate, liquid-side flow rate, total outlet flow rate, pressure difference, and cross-sectional gas content); the second set of operating environment data can be heat transfer-related parameters (such as heat transfer load, outlet enthalpy, liquid-side outlet temperature, and heat transfer temperature difference); and the third set of operating environment data can be component-related parameters (such as the molar / mass fraction of each component at the outlet and the flow rate of each component). The first, second, and third sets of operating environment data are summarized, and contradictory data is eliminated (e.g., the outlet flow rate calculated from flow balance must be consistent with the outlet flow rate from component balance; if there is a deviation, it needs to be corrected retrospectively). The core input parameters (outlet pressure, total outlet enthalpy, fraction of each component, and total outlet flow rate) are then clearly defined. Based on the pH flash evaporation algorithm, using the outlet pressure (P), total enthalpy (H), and component fraction as inputs, the proportion of the gas phase in the total flow rate of the outlet fluid (gas phase fraction) is calculated, clarifying the distribution relationship between the gas and liquid phases. The outlet enthalpy from the second set of operating environment data is compared with the initial enthalpy value, and the final outlet temperature is determined through iterative correction. Based on the gas phase fraction and component fraction, calculate the specific content (moles / mass flow rate) of each component in the gas and liquid phases, as well as parameters such as the phase equilibrium constant. Summarize parameters such as outlet flow rate, pressure, temperature, total enthalpy, gas phase fraction, and phase distribution of each component to form complete target operating data.

[0053] The technical solution of this invention obtains the initial model information corresponding to the ejector pump model, including steam-side state information, liquid-side state information, and outlet-side state information; predicts the first operating environment data of the ejector pump model at a target time based on the initial model information and pressure-flow balance rules; predicts the second operating environment data of the ejector pump model at a target time based on the initial model information and heat transfer balance rules; predicts the third operating environment data of the ejector pump model at a target time based on the initial model information and component balance rules; and determines the target operating data of the ejector pump model at the target time based on the first, second, and third operating environment data. By using multi-dimensional balance rules, the accuracy of the steam ejector pump's operating process data is improved.

[0054] Example 2

[0055] Figure 2 This is a flowchart illustrating a method for generating jet pump operating data according to Embodiment 2 of the present invention. Based on the above embodiments, this embodiment optimizes and improves the jet pump operating data generation operation.

[0056] Furthermore, the process of "determining the target operating data of the jet pump model at the target time based on the first operating environment data, the second operating environment data, and the third operating environment data" is refined into "determining the gas phase fraction based on the first operating environment data, the second operating environment data, and the third operating environment data; determining the jet pump outlet enthalpy based on the second operating environment data; determining the current jet pump temperature based on the jet pump outlet enthalpy and the acquired initial enthalpy; and determining the target operating state data of the jet pump model at the target time based on the current jet pump temperature," in order to improve the operation of generating jet pump operating data.

[0057] It should be noted that for parts not described in detail in the embodiments of the present invention, please refer to the descriptions in other embodiments.

[0058] See Figure 2 The method for generating jet pump operating data shown includes:

[0059] S201. Obtain the initial model information corresponding to the jet pump model. The initial model information includes steam side state information, liquid side state information and outlet side state information.

[0060] S202. Based on the initial information of the model and the pressure-flow balance rule, predict the first operating environment data of the jet pump model at the target time.

[0061] S203. Based on the initial information of the model and the heat transfer balance rule, predict the second operating environment data of the jet pump model at the target time.

[0062] S204. Based on the initial model information and component balance rules, predict the third operating environment data of the jet pump model at the target time.

[0063] S205. Determine the gas phase fraction based on the first operating environment data, the second operating environment data, and the third operating environment data.

[0064] Among them, the gas phase fraction can be the proportion of the gas phase in the fluid at the outlet of the jet pump to the total fluid at the target time point.

[0065] Specifically, the gas phase fraction is the proportion of the mass (or moles) of the gas phase in the outlet fluid to the total mass (or total moles), denoted by e (0≤e≤1, e=0 for all liquid phase, e=1 for all gas phase), and is a core parameter reflecting the fluid phase distribution. The core of calculating the gas phase fraction is achieved through the PH flash evaporation algorithm. Key parameters are selected from three types of operating environment data to form the input set for the flash evaporation calculation: thermodynamic fundamental parameters: outlet pressure P and outlet total enthalpy H; component parameters: the mole fraction xi of each component (derived from the third operating environment data, ensuring the sum of all component fractions is 1); initial iteration parameter: preliminary outlet temperature T0 (provided from the second operating environment data). Using P and T0 as inputs, perform PT flash evaporation calculations. The steps include: estimating the initial phase equilibrium constants k1,i for each component (a simplified correlation can be used, such as k1,i=Exp(5.37×(1+ωi)×(1-1 / Tr,i)×Pr,i), where ωi is the component eccentricity factor, Tr,i=T / Tc,i is the relative temperature, and Pr,i=P / Pc,i is the relative pressure); and estimating the initial gas phase composition y1,i=xi×k1,i and the liquid phase composition x1,i=xi / k1,i based on k1,i and component fraction xi (which needs to be normalized). First, the gas phase fraction e1 is calculated to ensure that the sum of the component fractions within the phase is 1. Then, the gas phase fraction e1 is calculated to satisfy the material conservation law: e1 = ∑i=1c(k1,i-1)×e1 + 1xi×(k1,i-1) (c is the total number of components). The actual phase equilibrium constant k2,i is calculated using a thermodynamic model (such as an equation of state or an activity coefficient model). The gas phase composition y2,i and the liquid phase composition x2,i are updated. The gas phase fraction e2 is recalculated. The iteration continues until the deviation between e1 and e2 is less than the preset tolerance. The gas phase fraction ecalc,0 and the theoretical enthalpy Hcalc,0 based on T0 are obtained. Compare the deviation between the theoretical enthalpy Hcalc,0 and the input total enthalpy H: If the deviation |Hcalc,0-H| ≤ preset error (e.g., 2kJ / kg), then ecalc,0 is the final gas phase fraction; if the deviation exceeds the error range, adjust the temperature to T1 (e.g., increase or decrease the temperature according to the positive or negative value of the enthalpy difference), and recalculate Hcalc,1 and ecalc,1 until the enthalpy deviation meets the requirements. At this point, the gas phase fraction ecalc,n is the target gas phase fraction.

[0066] S206. Determine the enthalpy value of the jet pump outlet based on the second operating environment data.

[0067] The enthalpy value at the outlet of the jet pump can be the enthalpy value of the fluid at the outlet of the steam jet pump.

[0068] Specifically, based on the second operating environment data (heat transfer related parameters), the total enthalpy of the fluid at the jet pump outlet is calculated using the principle of energy conservation. The outlet enthalpy is a core parameter reflecting the fluid's energy state and is directly related to subsequent temperature calculations and phase determination (such as pH flashing). The core logic is as follows: The second operating environment data includes information such as the heat transfer load, inlet enthalpy, and flow rate on both the steam and liquid sides. Using the energy conservation relationship that "total energy released by the steam side ≈ total energy absorbed by the liquid side" (considering heat transfer efficiency), the total enthalpy of the outlet fluid (total energy after mixing the steam and liquid sides divided by the total flow rate) can be derived. There is no chemical reaction within the steam jet pump; therefore, energy conservation is reflected as: total heat released by the steam side = total heat absorbed by the liquid side × heat transfer efficiency (ignoring heat exchange between the equipment and the environment, or already including efficiency corrections). Formula expression (mass flow rate basis): Fg × (Hg) in -Hg out )=Fl×(Hl out -Hl in )×η Where: Fg and Fl are the steam-side and liquid-side mass flow rates, respectively (from the first operating environment data); Hg in Hl in These are the inlet enthalpy values ​​(initial information) for the steam side and liquid side, respectively; Hg out The enthalpy at the steam outlet (if the steam condenses, the enthalpy of saturated water at the corresponding temperature can be used; if it does not condense, it is approximately equal to the inlet enthalpy); Hl out η is the liquid-side outlet enthalpy (to be determined); η is the heat transfer efficiency (user-given or empirical value, typically 0.8~0.95). Calculate the liquid-side outlet enthalpy Hl. out Solving for Hl by transforming the energy conservation formula out Calculate the total enthalpy at the outlet, Ho, which is the weighted average of the enthalpies at the outlets of the vapor and liquid sides (weighted by mass flow rate): Ho = (Fg × Hg) out +Fl×Hl out ) / (Fg+Fl)(Since the total outlet flow Fo=Fg+Fl, the total enthalpy value is the energy per unit mass after mixing).

[0069] S207. Determine the current jet pump temperature based on the jet pump outlet enthalpy and the obtained initial enthalpy.

[0070] The initial enthalpy can be a theoretical enthalpy calculated based on the outlet pressure and component distribution. The current jet pump temperature can be the final determined actual temperature of the outlet fluid.

[0071] Specifically, based on the preliminary temperature in the second operating environment data (such as the outlet temperature of the liquid side obtained from heat transfer calculation) or empirical value, an initial temperature T0 (e.g., 50 °C) is set. According to the initial temperature T0, the outlet pressure P (from the first operating environment data), and the component fraction xi (from the third operating environment data), the theoretical enthalpy value Hcalc,0 is calculated as follows: If the phase state (gas phase / liquid phase) is known, directly query the component enthalpy values at this temperature and pressure from the physical property database and sum them weighted by the fraction; if the phase state is unknown, first calculate the gas phase fraction e through PT flash calculation, and then calculate the enthalpy values of the gas and liquid phases separately and weight them. Compare the outlet enthalpy value Ho with the initial enthalpy value Hcalc,0 to obtain the deviation: ΔH = |Hcalc,0 - Ho|. If ΔH ≤ δ (δ is the preset tolerance, e.g., ±2 kJ / kg), then the initial temperature T0 is the current ejector temperature; if ΔH > δ, the temperature is corrected according to the deviation direction: If Hcalc,0 < Ho (the theoretical enthalpy value is lower than the actual value), it means the assumed temperature is too low, and the temperature needs to be increased to T1 = T0 + ΔT (ΔT is the step size, e.g., 5 °C); if Hcalc,0 > Ho, it means the assumed temperature is too high, and the temperature needs to be decreased to T1 = T0 - ΔT. Repeat the above steps, calculate Hcalc,1 with the new temperature T1 and judge the deviation until ΔH ≤ δ, and the temperature at this time is the current ejector temperature.

[0072] S208. Determine the target operating state data of the ejector model at the target time according to the current ejector temperature.

[0073] Specifically, based on the current temperature T, verify whether the key parameters calculated in the previous stage are consistent: recalculate the gas phase fraction e (through PT flash) with T and the outlet pressure P to ensure that the deviation from the gas phase fraction obtained based on PH flash in the previous stage is within the tolerance (e.g., ±0.5%); recalculate the total outlet enthalpy value Ho (based on T, P, e, and the component fraction) and confirm that the deviation from Ho obtained from heat transfer balance meets the requirements (e.g., ±2 kJ / kg); if there is a deviation, trace back and correct the relevant parameters (such as adjusting the gas phase fraction or component fraction) to ensure that all parameters are self-consistent at the current temperature. According to the current temperature T, pressure P, and phase equilibrium constant ki (calculated from T, P, and component characteristics), determine the gas phase component fraction and liquid phase component fraction of each component in the gas phase and liquid phase. Combine the total outlet flow Fo (from the first operating environment data) and the gas phase fraction e to split the total flow of the gas phase and liquid phase, and then distribute the phase state flow of each component according to the component fraction. Summarize all calibrated parameters to form the target operating state data including the following dimensions: basic operating condition parameters: total outlet flow, pressure, and temperature; energy parameters: total outlet enthalpy value, gas phase enthalpy value, and liquid phase enthalpy value; phase state parameters: gas phase fraction and phase equilibrium constant; component parameters: fraction and flow of each component in the gas / liquid phase.

[0074] This invention, through its embodiments, determines the gas phase fraction based on first operating environment data, second operating environment data, and third operating environment data; determines the enthalpy value at the jet pump outlet based on the second operating environment data; determines the current jet pump temperature based on the jet pump outlet enthalpy value and the acquired initial enthalpy value; and determines the target operating state data of the jet pump model at the target time based on the current jet pump temperature. This allows for the acquisition of multi-dimensional operating state data and improves the accuracy of operating data acquisition.

[0075] Optionally, the current injection pump temperature is determined based on the injection pump outlet enthalpy and the acquired initial enthalpy, including: acquiring the initial temperature; calculating the difference between the injection pump outlet enthalpy and the acquired initial enthalpy to determine the enthalpy difference; acquiring a preset difference range; if the enthalpy difference is determined to be within the preset difference range, then the initial temperature is determined as the current injection pump temperature; if the enthalpy difference is determined to be outside the preset difference range, then the initial temperature is acquired again.

[0076] Specifically, let's assume an outlet temperature (e.g., 35°C) as the starting point. For example, the initial temperature is set to 35°C. Significance: This provides the initial input for enthalpy calculation. Calculate the enthalpy difference. Specifically, calculate the outlet enthalpy based on the initial temperature and then subtract it from the initial enthalpy. Obtain the difference range. The methods for obtaining this range include, but are not limited to, sequential search algorithms, binary search algorithms, tree table search algorithms, or hash search algorithms. This embodiment of the invention does not impose any restrictions on these methods. If the difference is within the preset difference range, the initial temperature is determined as the current jet pump temperature. If the enthalpy difference is determined to be outside the preset difference range, the initial temperature is re-obtained, requiring an increase to 40°C for recalculation.

[0077] The process involves: acquiring the initial temperature; calculating the difference between the enthalpy value at the injection pump outlet and the acquired initial enthalpy value to determine the enthalpy difference; acquiring a preset difference range; if the enthalpy difference is determined to be within the preset difference range, then the initial temperature is determined as the current injection pump temperature; if the enthalpy difference is determined to be outside the preset difference range, then the initial temperature is acquired again. Through iterative calculation, the accuracy of temperature determination is improved.

[0078] Optionally, based on the initial model information and pressure-flow balance rules, predict the first operating environment data of the ejector pump model at the target time, including: acquiring flow correlation data, which includes steam-side flow, liquid-side flow, and ejector pump pressure data; calculating the cross-sectional gas holdup based on the flow correlation data; acquiring user input information, which includes ejector pump pipe diameter information and pipe diameter pressure drop information; determining the flow coefficient based on the user input information; and determining the first operating environment data of the ejector pump model at the target time based on the flow coefficient, cross-sectional gas holdup, and flow correlation data.

[0079] The flow-related data includes a set of parameters directly related to flow calculation, such as steam-side flow rate (Fg), liquid-side flow rate (Fl), steam-side pressure (pg), and outlet-side pressure (po). The cross-sectional gas holdup (ε) can be the proportion of the cross-sectional area occupied by steam in the jet pump pipe, used to correct for the actual steam flow diameter and avoid calculation errors caused by neglecting liquid flow. User input information can be user-provided equipment calibration parameters, including the actual jet pump pipe diameter (d) and the pipe diameter pressure drop (ps) under calibration conditions. The flow coefficient is a parameter reflecting the flow characteristics of the jet pump, related to the equipment structure and flow regime, and needs to be calculated using user calibration parameters.

[0080] Specifically, core parameters related to flow calculation are extracted from initial model information or preliminary monitoring data, including: Steam side: historical or initial molar / mass flow rate and steam side pressure (pg); Liquid side: historical or initial molar / mass flow rate and liquid side pressure; Outlet side: initial pressure (po). Mass flow rate is converted to volumetric flow rate (this needs to be combined with fluid density, which can be queried from a physical property database). The cross-sectional gas holdup is calculated based on the ratio of steam to liquid volumetric flow rates. Calibration parameters of the jet pump equipment provided by the user are collected, including core parameters such as the actual jet pump pipe diameter, pipe diameter pressure drop under calibration conditions, steam flow rate under calibration conditions, and steam density. The flow coefficient is calculated using calibration parameters, derived from a transformation of the valve flow formula. The actual steam flow pipe diameter is corrected, and based on the cross-sectional gas holdup, the effective pipe diameter actually occupied by steam is obtained. Using the valve flow formula, combined with the flow coefficient, effective pipe diameter, pressure difference, and steam density, and in conjunction with the pressure-flow balance rule, the liquid side flow rate and the total outlet flow rate are calculated to determine the target time steam side flow rate. The first operating environment data is obtained by integrating the target flow rate, pressure difference, and effective pipe diameter.

[0081] By acquiring flow correlation data, including steam-side flow rate, liquid-side flow rate, and ejector pump pressure data; calculating the cross-sectional gas holdup based on the flow correlation data; acquiring user input information, including ejector pump pipe diameter and pipe diameter pressure drop information; determining the flow coefficient based on the user input information; and determining the first operating environment data of the ejector pump model at the target time based on the flow coefficient, cross-sectional gas holdup, and flow correlation data. Data optimization can be performed using user input information to improve the accuracy of determining the first operating environment data.

[0082] Optionally, based on the initial model information and heat transfer balance rules, the second operating environment data of the ejector pump model at the target time is predicted, including: acquiring ejector pump temperature data, which includes: steam side temperature, liquid side temperature, and ejector pump outlet temperature; calculating the ejector pump temperature difference based on the ejector pump temperature data; acquiring ejector pump heat transfer data, which includes heat exchange area, gas-liquid mixing region volume, and specific surface area; and determining the second operating environment data of the ejector pump model at the target time based on the ejector pump heat transfer data and the ejector pump temperature difference.

[0083] Specifically, temperature parameters for each stream are extracted from the initial model information or preliminary calculation results. These parameters include: steam-side temperature, liquid-side temperature, and outlet temperature. A temperature difference calculation method is selected: if the vapor-liquid mixing is vigorous and the liquid phase temperature is uniform, the arithmetic mean temperature difference is used; if the temperature variation range is large, the logarithmic mean temperature difference is used. The structural parameters of the ejector pump and heat transfer-related physical properties are collected. These parameters include: gas-liquid mixing region volume (V): the spatial volume within the ejector pump where vapor and liquid mix and transfer heat; specific surface area (a): the surface area of ​​vapor-liquid contact per unit mixing volume (determined through empirical formulas or experimental data); and heat transfer coefficient (h): a physical property reflecting the fluid's heat transfer capacity (calculated through a built-in database or empirical correlation formulas). Calculate the heat transfer area: obtained by multiplying the volume of the mixing region by the specific surface area, using the formula A=V×a; Calculate the heat transfer load: using the basic heat transfer equation Q=h×A×ΔTm (Q is the heat transfer load, and the unit must be consistent, such as converting to kJ / h); Calculate the liquid-side outlet enthalpy based on heat transfer balance: combining the heat release on the steam side, the enthalpy at the liquid inlet, and the flow rate, the liquid-side outlet temperature Tl is obtained by looking up the physical property data from the liquid-side outlet enthalpy. out The data obtained by integration includes the second operating environment data, such as heat transfer load, outlet temperature, and outlet enthalpy.

[0084] By acquiring jet pump temperature data, including steam side temperature, liquid side temperature, and jet pump outlet temperature; calculating the jet pump temperature difference based on the jet pump temperature data; acquiring jet pump heat transfer data, including heat exchange area, gas-liquid mixing region volume, and specific surface area; and determining the second operating environment data of the jet pump model at the target time based on the jet pump heat transfer data and jet pump temperature difference.

[0085] Optionally, based on the initial model information and component balance rules, the third operating environment data of the ejector pump model at the target time is predicted, including: acquiring target component and ejector pump component data; the ejector pump component data includes: the quantity of material corresponding to at least one candidate component; in the ejector pump component data, determining the quantity of steam-side material and ejector-side material corresponding to the target component; and calculating the third operating environment data of the ejector pump model at the target time based on the quantity of steam-side material and ejector-side material.

[0086] Specifically, clearly define the target components of interest to the user (single or multiple, such as water, sodium chloride, and nitrogen); extract jet pump component data from the initial model information, including the quantity (mass / moles) of each candidate component on the steam side and ejector side, and the corresponding flow rate (mass / moles flow rate). For each target component, filter the quantity (mg, i / ng, i, mass / moles) on the steam side from the jet pump component data; filter the quantity (ml, i / nl, i, mass / moles) of the target component on the ejector side; if a target component is not distributed on a certain side (e.g., NaCl is not present on the steam side), then its corresponding quantity is 0. Calculate the total outflow material quantity of each target component: based on the component balance rule, mo,i=mg,i+ml,i (mass basis) or no,i=ng,i+nl,i (molar basis); calculate the total outflow material flow rate: Fo,m=Fg,m+Fl,m (mass flow rate) or Fo=Fg+Fl (molar flow rate); calculate the outflow fraction of each target component: mass fraction wo,i=Fo,mmo,i, molar fraction xo,i=Fono,i; integrate to obtain the third operating environment data, including the outflow material quantity, fraction, and total outflow flow rate of each target component.

[0087] By acquiring target component and ejector pump component data; the ejector pump component data includes: the quantity of material corresponding to at least one candidate component; in the ejector pump component data, the quantity of steam-side material and ejector-side material corresponding to the target component are determined; based on the quantity of steam-side material and ejector-side material, the third operating environment data of the ejector pump model at the target time is calculated.

[0088] Optionally, the initial model information corresponding to the ejector pump model is obtained. The initial model information includes steam-side state information, liquid-side state information, and outlet-side state information, including: obtaining ejector pump connection data; determining the associated equipment information corresponding to the ejector pump model based on the ejector pump connection data, including steam-side associated equipment, liquid-side associated equipment, and outlet-side associated equipment; and detecting the operating data corresponding to each device in the associated equipment information to determine the initial model information corresponding to the ejector pump model.

[0089] Specifically, the ejector pump connection data includes: the connection relationship between the ejector pump and upstream and downstream equipment; associated equipment information includes: equipment that provides steam, liquid, or receives the outlet fluid; and operational data monitoring includes: collecting real-time parameters of associated equipment. The connection objects of the ejector pump are determined through flowcharts or piping design diagrams (e.g., steam from the boiler, liquid from the storage tank, and outlet to the heat exchanger). For example, the connection relationships are: "Boiler → Ejector pump steam side," "Storage tank → Ejector pump liquid side," and "Ejector pump outlet → Heat exchanger." Significance: This clarifies the equipment from which the data originates. The associated equipment information is determined by: based on the connection data, determining the associated equipment on the steam side (boiler), liquid side (storage tank), and outlet side (heat exchanger). For example, the associated equipment on the steam side is "Boiler A," on the liquid side is "Storage Tank B," and on the outlet side is "Heat Exchanger C." Operational data is monitored and initial information is determined by: collecting real-time data from associated equipment (e.g., boiler outlet pressure 0.6 MPa, storage tank outlet temperature 25°C) as the initial information for the ejector pump model. For example: obtain steam pressure of 0.6MPa and temperature of 160℃ from boiler A; obtain liquid flow rate of 200kg / h from storage tank B.

[0090] By acquiring the jet pump connection data, and based on the jet pump connection data, the associated equipment information corresponding to the jet pump model is determined. The associated equipment information includes: steam-side associated equipment, liquid-side associated equipment, and outlet-side associated equipment. The operating data corresponding to each device in the associated equipment information is detected to determine the initial information of the jet pump model, clarify the state linkage relationship between the jet pump and upstream and downstream equipment, and the calculation results are more accurate.

[0091] Example 3

[0092] Figure 3 This is a schematic diagram of a jet pump operation data generation device according to Embodiment 3 of the present invention. This embodiment of the invention is applicable to the generation of jet pump operation data. The device can execute a jet pump operation data generation method and can be implemented in hardware and / or software.

[0093] See Figure 3 The jet pump operation data generation device shown includes: an initial information acquisition module 301, a first data prediction module 302, a second data prediction module 303, a third data prediction module 304, and a target data determination module 305, wherein...

[0094] The initial information acquisition module 301 is used to acquire the initial information of the ejector pump model, which includes steam side state information, liquid side state information and outlet side state information.

[0095] The first data prediction module 302 is used to predict the first operating environment data of the jet pump model at the target time based on the initial information of the model and the pressure-flow balance rule.

[0096] The second data prediction module 303 is used to predict the second operating environment data of the jet pump model at the target time based on the initial information of the model and the heat transfer balance rule.

[0097] The third data prediction module 304 is used to predict the third operating environment data of the jet pump model at the target time based on the initial model information and component balance rules.

[0098] The target data determination module 305 is used to determine the target operating data of the jet pump model at the target time based on the first operating environment data, the second operating environment data and the third operating environment data.

[0099] The technical solution of this invention obtains the initial model information corresponding to the ejector pump model, including steam-side state information, liquid-side state information, and outlet-side state information; predicts the first operating environment data of the ejector pump model at a target time based on the initial model information and pressure-flow balance rules; predicts the second operating environment data of the ejector pump model at a target time based on the initial model information and heat transfer balance rules; predicts the third operating environment data of the ejector pump model at a target time based on the initial model information and component balance rules; and determines the target operating data of the ejector pump model at the target time based on the first, second, and third operating environment data. By using multi-dimensional balance rules, the accuracy of the steam ejector pump's operating process data is improved.

[0100] Optionally, the target data determination module 305 includes:

[0101] The gas phase fraction determination unit is used to determine the gas phase fraction based on the first operating environment data, the second operating environment data, and the third operating environment data.

[0102] The outlet enthalpy determination unit is used to determine the outlet enthalpy of the jet pump based on the second operating environment data.

[0103] The current temperature determination unit is used to determine the current jet pump temperature based on the enthalpy value at the jet pump outlet and the acquired initial enthalpy value.

[0104] The temperature calculation unit is used to determine the target operating status data of the jet pump model at the target time based on the current jet pump temperature.

[0105] Optional, the current temperature determination unit is specifically used for:

[0106] Obtain the initial temperature;

[0107] The difference between the enthalpy value at the outlet of the jet pump and the obtained initial enthalpy value is used to determine the enthalpy difference.

[0108] Get the preset difference range;

[0109] If the enthalpy difference is determined to be within the preset difference range, the initial temperature is set as the current jet pump temperature.

[0110] If the enthalpy difference is determined to be outside the preset difference range, the initial temperature is reacquired.

[0111] Optionally, the first data prediction module 302 is specifically used for:

[0112] Acquire pressure-flow correlation data, which includes steam-side flow rate, liquid-side flow rate, and jet pump pressure data;

[0113] The gas content of the cross section was calculated based on the pressure-flow correlation data.

[0114] Obtain user input information, including: jet pump pipe diameter information and pipe diameter pressure drop information;

[0115] Determine the traffic coefficient based on user input information;

[0116] Based on the flow coefficient, cross-sectional gas content, and pressure-flow correlation data, the first operating environment data of the jet pump model at the target time are determined.

[0117] Optionally, the second data prediction module 303 is specifically used for:

[0118] Acquire the jet pump temperature data, which includes: steam side temperature, liquid side temperature, and jet pump outlet temperature;

[0119] The temperature difference of the jet pump is calculated based on the jet pump temperature data;

[0120] Acquire jet pump heat transfer data, which includes heat exchange area, gas-liquid mixing region volume, and specific surface area.

[0121] Based on the jet pump heat transfer data and jet pump temperature difference, the second operating environment data of the jet pump model at the target time is determined.

[0122] Optionally, the third data prediction module 304 is specifically used for:

[0123] Acquire target component and jet pump component data; jet pump component data includes: the quantity of material corresponding to at least one candidate component;

[0124] In the jet pump component data, determine the quantity of steam-side material and ejector-side material corresponding to the target component;

[0125] Based on the quantity of material on the steam side and the quantity of material on the ejector side, the third operating environment data of the jet pump model at the target time is calculated.

[0126] Optionally, the initial information acquisition module 301 is specifically used for:

[0127] Obtain the jet pump connection data;

[0128] Based on the jet pump connection data, determine the associated equipment information corresponding to the jet pump model. The associated equipment information includes: steam-side associated equipment, liquid-side associated equipment, and outlet-side associated equipment.

[0129] By detecting the operating data of each device in the associated equipment information, the initial information of the jet pump model is determined.

[0130] The jet pump operation data generation device provided in this embodiment of the invention can execute the jet pump operation data generation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the jet pump operation data generation method.

[0131] Example 4

[0132] Figure 4 A schematic diagram of the structure of a jet pump operation data generation device 400 that can be used to implement embodiments of the present invention is shown.

[0133] like Figure 4 As shown, the jet pump operation data generation device 400 includes at least one processor 401 and a memory, such as a read-only memory (ROM) 402 and a random access memory (RAM) 403, communicatively connected to the at least one processor 401. The memory stores computer programs executable by the at least one processor. The processor 401 can perform various appropriate actions and processes based on the computer program stored in the ROM 402 or loaded from storage unit 408 into the RAM 403. The RAM 403 can also store various programs and data required for the operation of the jet pump operation data generation device 400. The processor 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0134] Multiple components in the jet pump operation data generation device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, optical disk, etc.; and a communication unit 409, such as a network card, modem, wireless transceiver, etc. The communication unit 409 allows the jet pump operation data generation device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0135] Processor 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 401 performs the various methods and processes described above, such as the jet pump operation data generation method.

[0136] In some embodiments, the jet pump operation data generation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the jet pump operation data generation device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by processor 401, one or more steps of the jet pump operation data generation method described above may be performed. Alternatively, in other embodiments, processor 401 may be configured to perform the jet pump operation data generation method by any other suitable means (e.g., by means of firmware).

[0137] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0138] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0139] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0140] To provide user interaction, the systems and techniques described herein can be implemented on a jet pump operation data generation device, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the jet pump operation data generation device. Other types of devices can also be used to provide user interaction; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0141] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0142] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system. It addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability.

[0143] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0144] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for generating jet pump operating data, characterized in that, The method includes: Obtain the initial model information corresponding to the jet pump model, which includes steam-side state information, liquid-side state information, and outlet-side state information; Based on the initial information of the model and the pressure-flow balance rule, predict the first operating environment data of the jet pump model at the target time; Based on the initial information of the model and the heat transfer balance rule, predict the second operating environment data of the jet pump model at the target time; Based on the initial information of the model and the component balance rules, predict the third operating environment data of the jet pump model at the target time; Based on the first operating environment data, the second operating environment data, and the third operating environment data, the target operating data of the jet pump model at the target time is determined.

2. The method according to claim 1, characterized in that, The step of determining the target operating data of the jet pump model at a target time based on the first operating environment data, the second operating environment data, and the third operating environment data includes: The gas phase fraction is determined based on the first operating environment data, the second operating environment data, and the third operating environment data; The enthalpy value of the jet pump outlet is determined based on the second operating environment data; The current jet pump temperature is determined based on the jet pump outlet enthalpy and the obtained initial enthalpy. Based on the current jet pump temperature, determine the target operating status data of the jet pump model at the target time.

3. The method according to claim 2, characterized in that, Determining the current jet pump temperature based on the jet pump outlet enthalpy and the obtained initial enthalpy includes: Obtain the initial temperature; The enthalpy difference is determined by calculating the difference between the enthalpy value at the outlet of the jet pump and the obtained initial enthalpy value. Get the preset difference range; If it is determined that the enthalpy difference is within the preset difference range, then the initial temperature is determined as the current jet pump temperature; If it is determined that the enthalpy difference is not within the preset difference range, the initial temperature is re-acquired.

4. The method according to claim 1, characterized in that, The step of predicting the first operating environment data of the jet pump model at a target time based on the initial information of the model and the pressure-flow balance rule includes: Acquire pressure-flow correlation data, which includes steam-side flow rate, liquid-side flow rate, and jet pump pressure data; The gas content of the cross section is calculated based on the pressure-flow correlation data. Obtain user input information, which includes: jet pump pipe diameter information and pipe diameter pressure drop information; The flow coefficient is determined based on the user input information; Based on the flow coefficient, the cross-sectional gas content, and the pressure-flow correlation data, the first operating environment data of the jet pump model at the target time are determined.

5. The method according to claim 1, characterized in that, The step of predicting the second operating environment data of the jet pump model at a target time based on the initial information of the model and the heat transfer balance rules includes: Acquire jet pump temperature data, which includes: steam side temperature, liquid side temperature, and jet pump outlet temperature; The jet pump temperature difference is calculated based on the jet pump temperature data. Acquire heat transfer data of the jet pump, which includes heat exchange area, gas-liquid mixing region volume and specific surface area; Based on the heat transfer data of the jet pump and the temperature difference of the jet pump, the second operating environment data of the jet pump model at the target time are determined.

6. The method according to claim 1, characterized in that, The step of predicting the third operating environment data of the jet pump model at the target time based on the initial information of the model and the component balance rules includes: Acquire target component and jet pump component data; jet pump component data includes: the quantity of material corresponding to at least one candidate component; In the jet pump component data, determine the quantity of steam-side material and ejector-side material corresponding to the target component; Based on the quantity of material on the steam side and the quantity of material on the ejector side, the third operating environment data of the jet pump model at the target time is calculated.

7. The method according to claim 1, characterized in that, The process of obtaining the initial model information corresponding to the ejector pump model includes steam-side state information, liquid-side state information, and outlet-side state information, including: Obtain the jet pump connection data; Based on the jet pump connection data, determine the associated equipment information corresponding to the jet pump model. The associated equipment information includes: steam-side associated equipment, liquid-side associated equipment, and outlet-side associated equipment. By detecting the operating data corresponding to each device in the associated device information, the initial information of the jet pump model is determined.

8. A jet pump operation data generation device, characterized in that, The device includes: The initial information acquisition module is used to acquire the initial information of the ejector pump model, which includes steam-side state information, liquid-side state information and outlet-side state information. The first data prediction module is used to predict the first operating environment data of the jet pump model at the target time based on the initial information of the model and the pressure-flow balance rule. The second data prediction module is used to predict the second operating environment data of the jet pump model at the target time based on the initial information of the model and the heat transfer balance rule. The third data prediction module is used to predict the third operating environment data of the jet pump model at the target time based on the initial information of the model and the component balance rules. The target data determination module is used to determine the target operating data of the jet pump model at a target time based on the first operating environment data, the second operating environment data, and the third operating environment data.

9. A device for generating jet pump operation data, characterized in that, The jet pump operation data generation device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the jet pump operation data generation method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the jet pump operation data generation method according to any one of claims 1-7.

Images