Regulator spray valve control method and apparatus

Abstract

The application provides a pressure stabilizer spray valve control method and device, wherein the method first applies a step disturbance signal to spray valves of at least two spray pipelines of a pressure stabilizer respectively, and synchronously collects temperature dynamic response data of each spray pipeline under the step disturbance; then determines a thermal time constant and a valve flow gain of each spray pipeline according to the temperature dynamic response data; then constructs a steady-state analytical relationship between an outlet temperature and a flow of each spray pipeline based on the thermal time constant, and determines a physical equilibrium condition based on the steady-state analytical relationship; further determines a target flow of each spray pipeline according to a current flow of each spray pipeline and a total flow conservation constraint, and combines the physical equilibrium condition; and finally calculates a target opening of each spray valve according to the valve flow gain and the target flow corresponding to each spray pipeline, and adjusts the opening of each spray valve to the corresponding target opening. The key path time of unit overhaul can be effectively shortened.

Description

Technical Field

[0001] This application belongs to the field of equipment control technology, and in particular relates to a control method and device for a voltage regulator spray valve. Background Technology

[0002] During refueling overhauls of pressurized water reactor nuclear power units, the pressurizer continuous spray adjustment test is a key verification item to ensure the safe operation of the unit afterwards. This test mainly targets the redundant spray lines, and by adjusting the spray valve opening, enables the system to maintain a stable and reliable continuous spray function.

[0003] In related technologies, the conventional implementation method for continuous spray adjustment test of voltage regulator is usually that the operator, based on engineering experience, after establishing specific thermal boundary conditions, repeatedly manually fine-tunes the opening of the spray valve and waits for the system temperature response to stabilize until the acceptance parameters meet the requirements.

[0004] However, due to the significant thermal response inertia of the nuclear island system, conventional manual adjustment methods require a considerable amount of time to allow thermodynamic parameters to stabilize after each valve operation. This cyclical adjustment and waiting process can easily lead to a significant extension of the testing cycle, thereby delaying the critical path of unit overhaul and impacting the economics of nuclear power companies. Summary of the Invention

[0005] This application provides a method and apparatus for controlling a voltage regulator spray valve, which can effectively shorten the critical path time for unit overhaul.

[0006] The first aspect of this application provides a method for controlling the spray valves of a pressure regulator, comprising: applying step disturbance signals to the spray valves of at least two spray lines of the pressure regulator respectively, and simultaneously acquiring dynamic temperature response data of each spray line under the step disturbance; determining the thermal time constant and valve flow gain of each spray line based on the dynamic temperature response data; constructing a steady-state analytical relationship between the outlet temperature and flow rate of each spray line based on the thermal time constant, and determining physical equilibrium conditions based on the steady-state analytical relationship, wherein the physical equilibrium conditions characterize that when the steady-state temperature of each spray line is equal, the steady-state flow rate of each spray line is equal; determining the target flow rate of each spray line based on the current flow rate of each spray line and the total flow conservation constraint, and in combination with the physical equilibrium conditions; calculating the target opening degree of each spray valve based on the valve flow gain and the target flow rate corresponding to each spray line, and adjusting the opening degree of each spray valve to the corresponding target opening degree.

[0007] In the technical solution of this application, the characteristic parameters of the spray pipeline are identified based on the dynamic excitation data on site, and the target opening degree is calculated based on the steady-state analytical relationship established by energy conservation and flow conservation. This eliminates the traditional trial-and-error adjustment method and realizes the precise, rapid and consistent setting of the spray valve, which greatly shortens the critical path time of unit overhaul.

[0008] Optionally, in one possible implementation of the first aspect, determining the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data includes: using the least squares method or transfer function fitting method to perform parameter fitting on the temperature dynamic response data to determine the thermal time constant and valve flow gain. Thus, by using the least squares method or transfer function fitting method to perform parameter fitting on the dynamic response data, the accuracy of characteristic parameter (thermal time constant and valve flow gain) extraction and the universality of the data-driven approach are improved.

[0009] Optionally, in another possible implementation of the first aspect, the calculation of the target opening degree of each spray valve based on the valve flow gain and the target flow rate corresponding to each spray pipeline includes: obtaining the dead zone parameter of each spray valve; and calculating the target opening degree of each spray valve based on the target flow rate, the valve flow gain, and the dead zone parameter. Thus, by introducing and compensating for the dead zone parameter of each spray valve when calculating the target opening degree, the influence of valve mechanical characteristic deviation on the actual flow rate is eliminated, further improving the physical accuracy of the valve opening degree mapping.

[0010] Optionally, in another possible implementation of the first aspect, the method further includes: during the process of applying step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, in response to continuous step changes in each spray valve, constructing a coupled temperature dynamic response model based on the coupled temperature dynamic response data of each spray line under continuous step changes; and correcting the physical equilibrium conditions based on the coupled temperature dynamic response model. Thus, by constructing a coupled temperature dynamic response model when the valves undergo continuous step changes and correcting the physical equilibrium conditions based on the model, the interference of coupled disturbances on the control logic during continuous adjustment of multiple valves is effectively solved, ensuring the accuracy of the equilibrium condition setting under complex operating conditions.

[0011] Optionally, in another possible implementation of the first aspect, after adjusting the opening degree of each spray valve to the corresponding target opening degree, the method further includes: detecting the dynamic temperature response of each spray pipeline after adjustment; and verifying the accuracy of the target opening degree of each spray valve based on the comparison between the dynamic temperature response and the theoretical steady-state temperature corresponding to the physical equilibrium condition. Thus, by comparing and verifying the adjusted actual dynamic temperature response with the theoretical steady-state temperature, the reliability of the calculated target opening degree is confirmed at the operational level, providing a closed-loop technical means for final test acceptance.

[0012] Optionally, in another possible implementation of the first aspect, determining the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data includes: determining the thermal time constant of each spray pipeline based on the temperature dynamic response data and preset pipeline volume parameters. Thus, by introducing preset pipeline volume parameters into the determination of the thermal time constant, the model parameters are correlated with the physical structure, thereby improving the physical reliability of the thermodynamic characteristic estimation.

[0013] Optionally, in another possible implementation of the first aspect, before applying step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, the method further includes setting the amplitude of the opening change of the step disturbance signal to a unidirectional step signal that does not exceed a preset threshold. Thus, by limiting the amplitude of the opening change of the step disturbance signal to a unidirectional range not exceeding the preset threshold, the impact of large disturbances on system stability is reduced while ensuring the acquisition of effective dynamic responses.

[0014] Optionally, in another possible implementation of the first aspect, the method further includes: updating the thermal time constant in response to a change in the steady-state temperature corresponding to the physical equilibrium condition, and reconstructing the steady-state analytical relationship based on the updated thermal time constant. Thus, by updating the thermal time constant and reconstructing the steady-state analytical relationship in response to changes in steady-state temperature, the adaptive capability of the control system to operating condition drift is enhanced, ensuring that the physical equilibrium condition always matches the current operating state.

[0015] Optionally, in another possible implementation of the first aspect, the calculation of the target opening degree of each spray valve based on the valve flow gain and the target flow rate corresponding to each spray pipeline includes: fusing the valve flow gain extracted under the step disturbance signal and the dead zone parameters of each spray valve with the static measurement data corresponding to the physical equilibrium conditions to determine the corrected valve flow gain and corrected dead zone parameters of each spray valve; and calculating the target opening degree of each spray valve based on the target flow rate corresponding to each spray pipeline, the corrected valve flow gain, and the corrected dead zone parameters. Thus, by fusing the dynamically extracted key parameters with the static measured data to obtain the corrected gain and dead zone parameters, the drift effect of model parameters caused by changes in operating conditions is eliminated, further improving the engineering accuracy of the target opening degree calculation.

[0016] A second aspect of this application provides a voltage regulator spray valve control device, comprising: The signal processing module is used to apply step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, and simultaneously collect the dynamic temperature response data of each spray line under the step disturbance.

[0017] The parameter calculation module is used to determine the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data.

[0018] The condition determination module is used to construct the steady-state analytical relationship between the outlet temperature and flow rate of each spray pipeline based on the thermal time constant, and to determine the physical equilibrium condition based on the steady-state analytical relationship. The physical equilibrium condition is characterized by the fact that when the steady-state temperature of each spray pipeline is equal, the steady-state flow rate of each spray pipeline is equal.

[0019] The flow determination module is used to determine the target flow rate of each spray pipeline based on the current flow rate of each spray pipeline and the total flow conservation constraint, combined with the physical equilibrium condition.

[0020] The opening control module is used to calculate the target opening of each spray valve based on the valve flow gain and the target flow corresponding to each spray pipeline, and adjust the opening of each spray valve to the corresponding target opening.

[0021] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the voltage regulator spray valve control method of the first aspect described above.

[0022] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the voltage regulator spray valve control method of the first aspect described above.

[0023] The fifth aspect of this application provides a computer program product that, when run on an electronic device, causes the electronic device to execute the voltage regulator spray valve control method of the first aspect described above.

[0024] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic diagram of the architecture of a voltage regulator spray valve control system provided in an embodiment of this application; Figure 2This is a schematic diagram of the physical process structure of a voltage regulator spray valve control system provided in an embodiment of this application; Figure 3 This is a schematic flowchart of a voltage regulator spray valve control method provided in an embodiment of this application; Figure 4 This is a flowchart illustrating a voltage regulator spray valve control method provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a voltage regulator spray valve control device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0027] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0028] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0029] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0030] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0031] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0032] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0033] It should be understood that the sequence number of each step in this embodiment does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of this application embodiment.

[0034] In related technologies, the conventional method for continuous spray regulation tests of pressurizers typically involves operators, based on engineering experience, repeatedly manually fine-tuning the spray valve opening after establishing specific thermal boundary conditions, and waiting for the system temperature response to stabilize until the acceptance parameters meet the requirements. However, due to the significant thermal response inertia inherent in nuclear island systems, the conventional manual adjustment scheme requires a considerable amount of time to allow thermal parameters to re-stabilize after each valve operation. This cyclical adjustment and waiting process can easily lead to a significant extension of the test cycle, thereby delaying the critical path of unit overhaul and impacting the economics of nuclear power companies.

[0035] In view of this, embodiments of this application provide a method and apparatus for controlling spray valves of a pressure regulator. The method first applies a step disturbance signal to the spray valves of at least two spray lines of the pressure regulator, and simultaneously collects dynamic temperature response data of each spray line under the step disturbance. Then, based on the dynamic temperature response data, it determines the thermal time constant and valve flow gain of each spray line. Next, it constructs a steady-state analytical relationship between the outlet temperature and flow rate of each spray line based on the thermal time constant, and determines the physical equilibrium condition based on the steady-state analytical relationship. The physical equilibrium condition characterizes that when the steady-state temperature of each spray line is equal, the steady-state flow rate of each spray line is equal. Further, based on the current flow rate of each spray line and the total flow conservation constraint, and combined with the physical equilibrium condition, it determines the target flow rate of each spray line. Finally, based on the valve flow gain and the target flow rate corresponding to each spray line, it calculates the target opening degree of each spray valve and adjusts the opening degree of each spray valve to the corresponding target opening degree. Therefore, by identifying the characteristic parameters of the spray pipeline based on the on-site dynamic excitation data, and calculating the target opening degree based on the steady-state analytical relationship established by energy conservation and flow conservation, the traditional trial-and-error adjustment method is abandoned, and the spray valve is set accurately, quickly and consistently, which greatly shortens the critical path time of unit overhaul.

[0036] The following example illustrates the application scenario of the pressurizer spray valve control method provided in this application. During a hot shutdown condition in a nuclear power unit refueling overhaul, the continuous pressurizer spray adjustment test is a critical calibration task for the dual-redundant spray pipelines RCP001VP and RCP002VP. Due to the differences in the physical characteristics of the two pipelines and valves, the traditional manual trial-and-error adjustment method easily leads to delays in the critical path of the overhaul. Using the technical solution of this application, operators can first apply a small-amplitude step disturbance to the two pipelines and simultaneously collect the dynamic temperature response. Then, they can extract the real-time characteristic parameters of each pipeline and, based on the derived analytical equilibrium conditions of steady-state temperature and flow rate, as well as the total flow conservation constraint, directly calculate and determine the target opening degree of each spray valve required to achieve temperature equilibrium. This eliminates the lengthy iterative trial-and-error process, achieving a one-time precise adjustment of the dual valve openings, significantly improving the execution efficiency of this test within the unit overhaul window.

[0037] To illustrate the technical solution of this application, specific embodiments are described below.

[0038] Reference Figure 1 This diagram illustrates the architecture of a voltage regulator spray valve control system according to an embodiment of this application. Figure 1 As shown, the system includes a spray pipeline unit, an outlet temperature acquisition unit, a voltage regulator and a hot-side circuit unit, and a data acquisition and control unit.

[0039] The spray pipeline unit includes a primary cold section pipeline, at least two parallel spray pipelines, and spray valves installed on each pipeline. This unit is used to divert and control the high-pressure subcooled water from the primary cold section.

[0040] The outlet temperature acquisition unit includes temperature acquisition points set at the end of each spray pipeline. This unit is used to collect temperature parameters within each spray pipeline.

[0041] The voltage regulator and hot-side circuit unit includes a voltage regulator, an electric heater, a pulsator, and a primary circuit hot section pipe. This unit is used to receive water from the spray line and maintain the primary circuit pressure stability.

[0042] The data acquisition and control unit is used to apply control signals to the spray valve in the spray pipeline unit and acquire the temperature parameters collected by the outlet temperature acquisition unit, so as to realize the pressure regulator spray valve control method provided in this application.

[0043] Reference Figure 2 This diagram illustrates the physical process structure of a voltage regulator spray valve control system according to an embodiment of this application. Figure 2 As shown, the physical process structure mainly includes a primary cold section pipeline, at least two parallel spray pipelines, and spray valves installed on each spray pipeline. Figure 2 Only spray valve 1 and spray valve 2 (e.g., RCP001VP and RCP002VP) are shown, along with a voltage regulator, electric heater, oscillating tube, and primary loop hot section piping.

[0044] In this system, high-pressure subcooled water from the primary cold section pipeline branches into various spray lines. Spray valves on each spray line regulate the flow rate of the high-pressure subcooled water within their respective lines. Each spray line terminates in a steam space at the top of the pressurizer. By atomizing the subcooled water and spraying it into the steam space, some steam is condensed, reducing the steam partial pressure and thus lowering the primary loop pressure. An electric heater (both on / off and proportional types) is located at the bottom of the pressurizer. This heater heats the saturated water at the bottom to generate steam when the system pressure falls below a set threshold, increasing the steam partial pressure and raising the primary loop pressure. Simultaneously, the bottom of the pressurizer connects to the primary hot section pipeline via a waveguide. Water within the pressurizer exchanges medium with the coolant in the primary hot section pipeline through this waveguide, sensing and responding to pressure fluctuations in the primary loop system, thus forming a complete primary loop pressure control boundary.

[0045] In actual operation, the system also needs to maintain a continuous, small spray flow rate (i.e., continuous spraying) to promote the homogenization of boron concentration within the voltage regulator and to establish a thermal barrier at the bottom of the voltage regulator to mitigate thermal shock. However, during continuous spraying adjustment tests, due to differences in the mechanical characteristics of different spray valves, inconsistencies in the heat dissipation efficiency along the spray pipelines, and differences in local flow resistance, significant deviations in the outlet temperatures at the ends of the two spray pipelines often occur under the same spray valve opening command. The outlet temperatures of two redundantly configured spray pipelines often differ significantly under the same valve opening command. This difference mainly stems from the following three aspects: differences in valve characteristics, where the actual opening of the spray valve deviates due to mechanical dead zones, hysteresis, and other factors under the same command opening; differences in heat transfer conditions, where differences in pipeline insulation performance, spatial arrangement, and local ambient temperature lead to inconsistent heat dissipation efficiency along the pipeline; and differences in flow characteristics, including the inherent dispersion of the pipeline's geometric length, local resistance characteristics, and especially the inherent dispersion of the spray valve's flow characteristics.

[0046] The voltage regulator spray valve control method described in the following embodiments of this application is based on... Figure 2 The physical structure shown applies a step disturbance and collects the temperature response through a data acquisition and control unit, thereby establishing a steady-state analytical relationship based on energy conservation to eliminate the aforementioned temperature unevenness.

[0047] exist Figure 1 and Figure 2 Based on the hardware architecture shown, Figure 3 A schematic flowchart of a voltage regulator spray valve control method provided in an embodiment of this application is shown. Figure 3 As shown, the voltage regulator spray valve control method may include the following steps: Step 301: Apply step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, and simultaneously collect the dynamic temperature response data of each spray line under the step disturbance.

[0048] In this embodiment, step 301 is the preliminary dynamic characteristic test stage of the entire control method. This step can be executed during the hot shutdown operating window of the nuclear power unit, when the reactor coolant system temperature is stable at approximately 291.4°C, the main pump is running, and the pressurizer water level and pressure control are both in automatic mode. Under this stable operating condition, the data acquisition and control unit transmits data to… Figure 2 Each spray valve on the spray pipeline shown is subjected to a step disturbance signal. The step disturbance signal can be applied by the automatic control program in the data acquisition and control unit outputting an instantaneous and unidirectional opening change command to each spray valve, causing a sudden change in the opening of the spray valve, thereby stimulating a dynamic temperature response within the spray pipeline.

[0049] In this process, while applying a step disturbance signal, the data acquisition and control unit simultaneously collects the dynamic temperature response data of each spray pipeline under the step disturbance through temperature acquisition points set at the ends of each spray pipeline. The dynamic temperature response data refers to the continuous numerical sequence of temperature changes over time at the outlet of each spray pipeline after a sudden change in the spray valve opening. To ensure that the collected data completely records the entire process of the thermal system from the start of the disturbance until it enters a new steady state, the temperature data acquisition frequency can be set to a high frequency, such as 1Hz to 10Hz, to capture the details and patterns of temperature changes. Simultaneously, the duration of the dynamic temperature response data collected in this step should cover the thermal transient process of the system, that is, from the initial moment of applying the step disturbance until the outlet temperature of the spray pipeline tends to stabilize and has no significant fluctuations. This data acquisition process can be achieved by independently sampling the temperature acquisition points of each spray pipeline to obtain the temperature response curve of each spray pipeline under the same step disturbance.

[0050] It should be noted that the aforementioned step disturbance signal specifically manifests as an instantaneous step change from the current steady-state opening to a predetermined opening value. This change causes a sudden alteration in the coolant flow rate within the spray pipeline, leading to a response process in which the outlet temperature exponentially approaches the new steady state over time. The temperature data of this response process can be recorded and stored in time-series format by the data acquisition and control unit for subsequent characteristic parameter identification and model construction.

[0051] In one possible implementation, in practical engineering applications, to ensure that the applied step disturbance elicits a sufficiently significant dynamic temperature response without exceeding the system's allowable steady-state operating boundaries, the amplitude of the disturbance needs to be reasonably controlled. To this end, the automatic control program built into the data acquisition and control unit can determine the direction of the step disturbance (e.g., increasing or decreasing the opening) and the amplitude of the disturbance based on operator instructions or a preset test plan. Setting this amplitude typically requires a comprehensive consideration of two factors: firstly, if the opening change is too large, it may introduce system safety risks or trigger protection devices; secondly, if the opening change is too small, the temperature response change will be insignificant, making it difficult to guarantee the data quality for subsequent parameter identification. Therefore, the automatic control program usually initially determines a reasonable disturbance amplitude range based on prior experimental experience or offline calculation results, and then fine-tunes it according to the real-time system status during actual testing to ensure that the acquired dynamic temperature response data has a sufficient signal-to-noise ratio without triggering system safety protection actions.

[0052] In one embodiment, to ensure that the applied step disturbance signal is within the acceptable range of the system, the amplitude of the step disturbance signal's opening change can be preset to a unidirectional step signal that does not exceed a preset threshold. Thus, by limiting the amplitude of the step disturbance signal's opening change to a unidirectional range not exceeding the preset threshold, the impact of large disturbances on system stability is reduced while ensuring the acquisition of an effective dynamic response.

[0053] Specifically, before outputting a step disturbance command, the data acquisition and control unit can first set a preset threshold based on the actual operating conditions. This preset threshold is the upper limit of the allowable amplitude of the spray valve opening change. The setting method of this preset threshold can be determined based on the sensitivity of the valve characteristic curve and the system safety margin. For example, if the preset threshold is set to a 5% opening change, then when a step disturbance is applied, the data acquisition and control unit will output a command that causes the spray valve to instantly adjust from the current opening to a position where the increase or decrease in the current opening does not exceed 5%. Since the opening change amplitude of this step disturbance signal is controlled within the preset threshold, the disturbance will only cause limited and controllable changes in the system's thermal state, without causing the system's pressure or temperature to exceed limits. By limiting the step disturbance signal to a unidirectional step signal, unnecessary oscillations in the system's thermal parameters due to multiple directional switching can be avoided, thereby improving the identifiability of the acquired temperature data.

[0054] Step 302: Determine the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data.

[0055] In this embodiment, after applying the step disturbance signal and synchronously acquiring the dynamic temperature response data of each spray pipeline, the data acquisition and control unit identifies the parameters of the dynamic temperature response data. The thermal time constant is a characteristic physical quantity that characterizes the speed at which the coolant temperature in the spray pipeline approaches the steady-state temperature under a step disturbance; its value reflects the overall magnitude of the system's thermal inertia. The valve flow gain refers to the rate of change of coolant flow rate in the pipeline corresponding to a unit percentage change in the spray valve opening. This parameter comprehensively reflects the combined influence of valve flow capacity, fluid density, and the pressure difference across the valve on the flow rate change.

[0056] The core operation of step 302 involves extracting feature parameters from the time-series data acquired in step 301 using a system identification algorithm. Specifically, the data acquisition and control unit analyzes the dynamic temperature response data of each spray pipeline using the system identification algorithm, identifying the thermal time constant and valve flow gain for each pipeline. Since the valve mechanical characteristics, pipeline insulation performance, and spatial arrangement of the two spray pipelines may differ, this identification process must be performed independently for each spray pipeline. Through numerical fitting, the theoretically calculated response curve is made to highly overlap with the actually acquired dynamic data, thereby obtaining the feature parameter values ​​that best characterize the physical properties of each pipeline under the current operating conditions. After identification, the data acquisition and control unit also verifies the accuracy of the extracted parameters through cross-validation to ensure the robustness of the identification results.

[0057] In one embodiment, the specific data processing method for determining the thermal time constant and valve flow gain based on the temperature dynamic response data can be performed as follows: The temperature dynamic response data is fitted with parameters using the least squares method or transfer function fitting method to determine the thermal time constant and valve flow gain. Therefore, by using the least squares method or transfer function fitting method to fit the parameters of the dynamic response data, the accuracy of the feature parameter (thermal time constant and valve flow gain) extraction and the universality of the data-driven approach are improved.

[0058] It should be noted that in engineering applications, the above parameter fitting can be achieved using either the least squares method or the transfer function fitting method. When using the least squares method, the data acquisition and control unit pre-constructs a theoretical response function model that includes the thermal time constant and valve flow gain. Using the actual acquired temperature dynamic response sequence as a benchmark, the optimal parameter estimates are searched and determined by minimizing the sum of squared residuals between the theoretical model's predicted curve and the actual acquired response curve. When using the transfer function fitting method, the data acquisition and control unit transforms the temperature dynamic response data in the time or frequency domain to obtain the approximate transfer function corresponding to the measured response curve, and then directly extracts the thermal time constant and valve flow gain from it. Regardless of the fitting method used, this parameter extraction process is automatically completed in the software calculation module of the data acquisition and control unit, requiring no manual intervention or disassembly / reassembly of valves or pipelines.

[0059] In one embodiment, to further improve the physical rationality of the extracted thermal time constant, physical structural parameters of the spray pipeline can be introduced for auxiliary calculation. Specifically, this can be done as follows: Based on the dynamic temperature response data and preset pipeline volume parameters, the thermal time constant of each spray pipeline is determined. Thus, by introducing preset pipeline volume parameters into the determination of the thermal time constant, the model parameters are correlated with the physical structure, thereby improving the physical reliability of the thermodynamic characteristic estimation.

[0060] It should be noted that in the above embodiments, when determining the thermal time constant of each spray pipeline, the data acquisition and control unit not only performs numerical fitting based on the dynamic temperature response data, but also simultaneously calls upon the pre-stored pipeline volume parameters of each spray pipeline. These pipeline volume parameters refer to the physical volume of the inner cavity of the spray pipeline between the spray valve outlet and the pressure regulator inlet. In actual physical processes, the magnitude of the thermal time constant is closely related to the mass of the fluid within the pipeline (i.e., the product of volume and density) and the pipeline's heat dissipation characteristics. By introducing these physical volume parameters into the determination process, the identified thermal time constant not only conforms to numerical patterns but also more closely matches the actual physical structural characteristics. This effectively avoids the situation where relying solely on data fitting may lead to parameter estimations deviating from physical facts, thereby obtaining more accurate and reliable characteristic parameters.

[0061] Step 303: Construct a steady-state analytical relationship between the outlet temperature and flow rate of each spray pipeline based on the thermal time constant, and determine the physical equilibrium conditions based on the steady-state analytical relationship.

[0062] Among them, the physical equilibrium condition is characterized by the fact that when the steady-state temperature of each spray pipeline is equal, the steady-state flow rate of each spray pipeline is equal.

[0063] In this embodiment, after identifying the thermal time constant and valve flow gain of each spray pipeline, the data acquisition and control unit can construct a steady-state analytical relationship for the spray pipeline based on the identification results. This construction process is based on the first law of thermodynamics (i.e., the law of conservation of energy), and obtains the mathematical mapping between outlet temperature and flow rate by establishing the energy balance equation of each spray pipeline under steady-state conditions.

[0064] From a physical perspective, the subcooled water in the spray pipeline dissipates heat to the environment during its flow, and the rate of heat dissipation is related to the temperature difference between the inside and outside of the pipeline. When the fluid flows through the pipeline at a constant flow rate, the difference between the inlet and outlet temperatures depends on the flow rate and the intensity of heat dissipation. When the flow rate is sufficiently high, the fluid's residence time in the pipeline is short, resulting in minimal heat dissipation, and the outlet temperature approaches the inlet temperature. Conversely, when the flow rate approaches zero, the fluid's residence time in the pipeline is long, and almost all heat is dissipated, causing the outlet temperature to approach the ambient temperature. This physical mechanism forms the basis for constructing the steady-state analytical relationship.

[0065] The following section explains the process of constructing the steady-state analytical relationship in step 303 using mathematical derivation.

[0066] Let the inlet temperature of the spray water be... (i.e., primary loop temperature), outlet temperature is The ambient temperature is (lower than) Therefore, the outlet temperature is lower than the inlet temperature. Before constructing the above steady-state analytical relationship, based on the actual operating conditions on site, the embodiments of this application set the following basic assumptions: the inlet temperature of the spray water... Maintain a constant ambient temperature during the adjustment process. The process remains constant during adjustment; the spray water is thoroughly mixed within the spray pipeline, which can be described using a lumped parameter model; the heat dissipation from the spray pipeline to the environment conforms to Newton's law of cooling, i.e., the heat dissipation rate is proportional to the temperature difference between the pipeline and the environment.

[0067] First, based on the law of conservation of energy, the energy balance equation under steady-state conditions is established. Considering a single spray pipeline, the energy conservation equation within the spray pipeline under steady-state conditions is: ; in, The density of boron-containing water in the primary loop; Volumetric flow rate; This is the specific heat capacity of water; This represents the power loss due to heat dissipation. The equation means that the heat entering the pipeline equals the sum of the heat flowing out of the pipeline and the heat lost from the pipeline to the environment.

[0068] Heat loss is described using Newton's law of cooling: ; in, For the overall heat transfer coefficient ( ); For heat dissipation area ( ); Let be the average temperature of the spray water. In engineering approximations, the average temperature can be taken as the arithmetic mean of the inlet and outlet temperatures, i.e.: ; Substituting the above expression for heat loss into the energy conservation equation, we get: ; By rearranging the above equation, the outlet temperature can be obtained. The expression is: ; The above formula can also be equivalently expressed as: ; To facilitate engineering applications, two characteristic physical quantities are defined based on the above expression. One is the maximum possible temperature drop. Its expression is: ; Maximum possible temperature drop The physical meaning is the maximum cooling temperature drop that the sprayed water can achieve when it stays in the pipeline for an infinitely long time. The second is the characteristic flow rate. Its expression is: ; Feature flow The physical meaning of this value is that when the flow rate is equal to this value, the impact of heat loss on the outlet temperature is at an intermediate level, which is a key parameter characterizing the heat dissipation characteristics of the pipeline.

[0069] Based on the two characteristic physical quantities mentioned above, the expression for the steady-state outlet temperature can be simplified to the following form: ; in, Indicates flow rate The above formula corresponds to the steady-state outlet temperature. The physical meaning of the formula is that the outlet temperature increases with increasing flow rate. This is because as the flow rate increases, the water's residence time in the pipeline decreases, resulting in less heat dissipation and therefore a higher outlet temperature. When the flow rate... hour, When traffic hour, .

[0070] Then, a comprehensive equation for the flow characteristics of the spray valve is established. The flow characteristics of the spray valve can generally be described by a linear mapping relationship between the valve opening and the flow rate, and its comprehensive characteristic equation is as follows: ; in, For flow coefficient; Effective flow area (which is the valve command opening degree) (functions) The pressure difference across the valve; The fluid density is given.

[0071] The flow area function is: ; in, This represents the maximum flow area of ​​the valve. The valve opening function relationship varies depending on the type of valve; therefore, a linear function is used for fitting here. ; in, Valve opening gain; This refers to the valve dead zone.

[0072] Based on the comprehensive equation for the flow characteristics of the spray valve described above, within a small range, the valve opening and flow rate are approximately linearly related. Therefore, the valve's flow characteristic relationship can be determined. This allows us to obtain the flow rate corresponding to the valve opening degree: ; in, For valves Opening degree (expressed as a percentage); :valve Flow gain (flow rate per unit opening degree, unit: (m³ / s) / opening degree); Corresponding valve The opening gain; Corresponding valve The dead zone.

[0073] Next, a dynamic response mechanism model of the spray pipeline temperature is established to describe the dynamic law of temperature change over time. According to the first law of thermodynamics, the rate of change of energy within the control volume is equal to the difference in energy flow rates between the inlet and outlet plus heat exchange: ; in, To control the total stored energy within the volume; Energy flowing into the control volume; The energy released is for the control volume. The temperature response is not instantaneous; when the flow rate changes, the temperature needs time to reach a new steady state. According to the transient equation of energy conservation: ; in, To control the instantaneous temperature of fluids within the body; The internal volume of the pipeline ( Define steady-state temperature. : ; The transient equation for energy conservation is then rearranged to obtain: ; Wherein, time constant for: ; steady state temperature for: ; time constant Related to traffic volume: the higher the traffic volume, the smaller the time constant, and the faster the response. At a fixed traffic volume... The solution to the transient equations then exponentially approaches the steady state: ; in, This is the initial temperature.

[0074] The following section establishes an analytical model of the temperature response based on valve opening. Based on the aforementioned steady-state temperature formula and the valve flow characteristic relationship, the following can be obtained: The steady-state temperature expression for the pipeline. For the first... Pipeline: ; in, For the first Steady-state temperature of the pipeline; For the first The inlet temperature of the pipeline; Integrating the parameters, we obtain the comprehensive coefficient representing the effect of valve opening on temperature. Substituting this coefficient into the formula for the solution of the aforementioned transient equation, we get: ; Based on the formula for the solution of the aforementioned transient equation, the formula for the dynamic response temperature is obtained. For the first... Pipeline: ; in, For the first The instantaneous temperature of the pipeline; For the first The initial temperature of the pipeline; For the first The time constant of the pipeline. Combining the two formulas above, we can obtain: ; Then the time constant Can be updated to: ; in, For the first The internal volume of the pipeline ( ).

[0075] Next, we will further determine the physical equilibrium conditions based on the actual operating conditions of the dual-valve coordinated control. We will then begin establishing the dual-valve coordinated control model.

[0076] Specifically, there are two spray lines, with corresponding valve openings of respectively. , The current temperatures are respectively , (Steady state may not have been reached). The goal is to find a new opening degree. , This ensures that the steady-state temperatures of the two pipelines are equal after adjustment. The total flow rate remains unchanged before and after the adjustment, i.e. The derivation of the steady-state temperature equality condition will now begin.

[0077] Based on the steady-state temperature formula, for each pipeline: ; Let the common target steady-state temperature be Then we have: ; Therefore, we can conclude that: ; The conclusion drawn from the physical equilibrium condition is that, in order to achieve equal temperatures, the flow rates of the two pipelines must be equal.

[0078] In one embodiment, during the application of step disturbance signals to the spray valves of at least two spray lines of the pressure regulator, a coupled temperature dynamic response model can be constructed based on the coupled temperature dynamic response data of each spray line under continuous step changes, responding to continuous step changes in each spray valve. The physical equilibrium conditions are then corrected based on this coupled temperature dynamic response model. Thus, by constructing a coupled temperature dynamic response model when valves undergo continuous step changes and correcting the physical equilibrium conditions based on the model, the interference of coupled disturbances on the control logic during continuous adjustment of multiple valves is effectively resolved, ensuring the accuracy of equilibrium condition settings under complex operating conditions.

[0079] Specifically, for situations where the valve opening undergoes continuous step changes, a dynamic temperature model is established for such situations. At a given valve opening degree... Down( (This refers to the number of valve opening steps), the temperature has not yet reached a steady-state value. At this point, the valve opening changes abruptly again. (To avoid excessive continuous segmentation due to small changes in valve opening, a valve opening threshold is set here.) A new calculation interval is defined only when the valve opening degree exceeds this threshold. Let the valve opening degree sequence be: The corresponding time of change is: ,in, This is the initial time.

[0080] Regarding the first each interval The model, in the interval Inside, the valve opening remains constant. The corresponding steady-state temperature and time constant For (Note: in the interval) Within this range, the steady-state value may not have been reached before the start of the next range, hence the steady-state temperature... (This is a theoretical value) ; ; in, For the first Steady-state temperature after the valve step change; For the first Input temperature during valve step change; : interval Internal valve flow gain; For interval Internal pipeline volume ( ).

[0081] The temperature dynamic equation within the interval is: ; in, For interval Instantaneous temperature inside.

[0082] Let the entry interval be The initial temperature at that time was The temperature response within the interval is: ; in, For interval The initial temperature inside.

[0083] exist At that moment, the temperature value was: ; That is, the previous interval endpoint temperature equal to the next interval starting temperature By analogy, the temperature recurrence relation can be obtained: ; in, For the first The duration of each interval.

[0084] By recursion, we can obtain the closed-form expression: ; In engineering, a more practical approach is to use recursive calculations directly. ; Specifically, after constructing the aforementioned coupled temperature dynamic response model, the data acquisition and control unit can modify the physical equilibrium conditions based on the model to avoid calculation errors caused by the previous step not reaching a steady state, and ensure the accuracy of the physical equilibrium conditions under continuous step conditions.

[0085] In this embodiment, through step 303, an analytical relationship between the steady-state outlet temperature and flow rate of the spray pipeline based on the thermal time constant is established. Based on this analytical relationship, the physical equilibrium condition corresponding to the temperature equilibrium of the two spray pipelines (i.e., the steady-state flow rate is equal when the steady-state temperature is equal) is determined. Simultaneously, a method for constructing and correcting the coupled model under continuous step conditions is provided. This physical equilibrium condition is the core theoretical basis for determining the target flow rate of each spray pipeline in subsequent steps.

[0086] Step 304: Determine the target flow rate of each spray pipeline based on the current flow rate of each spray pipeline and the total flow rate conservation constraint, and in conjunction with the physical equilibrium condition.

[0087] In this embodiment of the application, combined with physical equilibrium conditions Total flow conservation constraint From the steady-state temperature formula, we can obtain the formula for calculating the target flow rate: ; That is, the flow rate of each sprinkler line after adjustment should be equal to half of the current total flow rate. Wherein, the current flow rate... and The flow rate can be calculated using the aforementioned formula corresponding to the valve opening degree.

[0088] Step 305: Calculate the target opening degree of each spray valve based on the valve flow gain and the target flow rate corresponding to each spray pipeline, and adjust the opening degree of each spray valve to the corresponding target opening degree.

[0089] In this embodiment of the application, based on the target flow rate of each spray pipeline, the target flow rate can be converted into the target opening command that each spray valve can actually execute, and the final adjustment operation can be completed.

[0090] Specifically, the flow rate is calculated based on the valve opening degree using the corresponding formula. For the first A spray pipeline with a target flow rate relative to target opening The relationship between them is satisfied Therefore, the target flow rate determined in step 304 can be... , Substituting the above relationships, we can obtain the analytical formula for calculating the target opening degree of each spray valve: ; ; It should be noted that the data acquisition and control unit directly calculates the target opening command that each spray valve should reach based on the above target opening calculation formula, and adjusts the opening of each spray valve to the corresponding target opening in one go based on the target opening command.

[0091] In one embodiment, to improve the engineering accuracy of the target opening calculation, the step of calculating the target opening of each spray valve can be performed by introducing valve dead zone parameters for compensation calculation as follows: obtain the dead zone parameters of each spray valve; calculate the target opening of each spray valve based on the target flow rate, valve flow gain, and dead zone parameters. Therefore, by introducing and compensating for the dead zone parameters of each spray valve when calculating the target opening, the influence of valve mechanical characteristic deviations on the actual flow rate is eliminated, further improving the physical accuracy of the valve opening mapping.

[0092] It should be noted that, specifically, before calculating the target opening degree of each spray valve, the data acquisition and control unit first obtains the dead zone parameters of each spray valve. This dead zone parameter is the initial compensation value required for the valve to produce an actual change in opening after receiving a control signal. This is achieved by adjusting the target flow rate. Valve flow gain and dead zone parameters Substituting the values ​​into the aforementioned target opening calculation formula can effectively eliminate the influence of valve mechanical characteristic deviations on actual flow, thereby obtaining a more accurate target opening command.

[0093] In one embodiment, to further eliminate the impact of operating condition drift on model parameters, the calculated parameters can be corrected by fusing dynamic test data and static measurement data as follows: The valve flow gain and dead zone parameters of each spray valve extracted under a step disturbance signal are fused with the static measurement data corresponding to the physical equilibrium conditions to determine the corrected valve flow gain and corrected dead zone parameters of each spray valve; based on the target flow rate corresponding to each spray pipeline, the corrected valve flow gain, and the corrected dead zone parameters, the target opening degree of each spray valve is calculated. Thus, by fusing dynamically extracted key parameters with static measured data to obtain the corrected gain and dead zone parameters, the drift effect of model parameters caused by changes in operating conditions is eliminated, further improving the engineering accuracy of the target opening degree calculation.

[0094] It should be noted that the data acquisition and control unit deeply integrates the valve flow gain and dead zone parameters of each spray valve extracted online through step disturbance in the aforementioned embodiments with the static measurement data under the current steady-state operating conditions to determine the corrected valve flow gain and corrected dead zone parameters. Since the operating conditions change in real time during system operation, integrating and correcting the dynamically extracted parameters with the static measured data effectively eliminates the impact of parameter drift. Furthermore, based on the corrected parameters and the target flow rate, a more reliable target opening degree can be calculated.

[0095] In one embodiment, after adjusting the opening of each spray valve to the corresponding target opening, the adjustment effect can be verified as follows: The dynamic temperature response of each spray pipeline after adjustment is detected; the accuracy of the target opening of each spray valve is verified by comparing the dynamic temperature response with the theoretical steady-state temperature corresponding to the physical equilibrium condition. Thus, by comparing the adjusted actual dynamic temperature response with the theoretical steady-state temperature, the reliability of the calculated target opening is confirmed at the operational level, providing a closed-loop technical means for final test acceptance.

[0096] It should be noted that the data acquisition and control unit continuously monitors the dynamic temperature response of each spray pipeline after adjustment by setting temperature acquisition points at the ends of each spray pipeline. Since the method used in this embodiment is a one-time adjustment based on feedforward prediction, its target opening degree is calculated through precise steady-state analytical relationships. Therefore, the outlet temperature of each spray pipeline after adjustment should approach the theoretical steady-state temperature corresponding to the physical equilibrium condition. The data acquisition and control unit compares the actual monitored dynamic temperature response with the theoretical steady-state temperature. If the comparison results show that they are consistent, the accuracy of the target opening degree and the correctness of the model are verified. For example, during specific acceptance testing, the following conditions must be met: the input signal of the proportional heater is stable at around 50%, and the outlet temperature difference between the two spray pipelines is stable at less than 5°C.

[0097] In one embodiment, after adjusting the opening degree of each spray valve to the corresponding target opening degree, if the steady-state temperature corresponding to the physical equilibrium condition changes, the embodiment of this application can also perform adaptive reconstruction in the following manner: in response to the change in the steady-state temperature corresponding to the physical equilibrium condition, the thermal time constant is updated, and the steady-state analytical relationship is reconstructed based on the updated thermal time constant. Thus, by updating the thermal time constant and reconstructing the steady-state analytical relationship in response to changes in steady-state temperature, the adaptive capability of the control system to operating condition drift is enhanced, ensuring that the physical equilibrium condition always matches the current operating state.

[0098] It should be noted that after the adjustments are in place, if the system operating conditions change (such as a drift in inlet temperature or ambient temperature), causing a change in the steady-state temperature corresponding to the physical equilibrium conditions, the data acquisition and control unit can update the thermal time constants of each spray pipeline based on the current temperature dynamic response data, and reconstruct the steady-state analytical relationship based on the updated thermal time constants. Through this adaptive reconstruction mechanism, the control method of this embodiment can maintain the accuracy of the physical equilibrium conditions when operating conditions change, thereby maintaining the temperature equilibrium state.

[0099] The pressure regulator spray valve control method disclosed in the above embodiments of this application first applies a step disturbance signal to the spray valves of at least two spray lines of the pressure regulator, and simultaneously collects the dynamic temperature response data of each spray line under the step disturbance; then, based on the dynamic temperature response data, the thermal time constant and valve flow gain of each spray line are determined; next, a steady-state analytical relationship between the outlet temperature and flow rate of each spray line is constructed based on the thermal time constant, and a physical equilibrium condition is determined based on the steady-state analytical relationship, wherein the physical equilibrium condition represents that when the steady-state temperature of each spray line is equal, the steady-state flow rate of each spray line is equal; further, based on the current flow rate of each spray line and the total flow conservation constraint, and combined with the physical equilibrium condition, the target flow rate of each spray line is determined; finally, based on the valve flow gain and the target flow rate corresponding to each spray line, the target opening degree of each spray valve is calculated, and the opening degree of each spray valve is adjusted to the corresponding target opening degree. Therefore, by identifying the characteristic parameters of the spray pipeline based on the on-site dynamic excitation data, and calculating the target opening degree based on the steady-state analytical relationship established by energy conservation and flow conservation, the traditional trial-and-error adjustment method is abandoned, and the spray valve is set accurately, quickly and consistently, which greatly shortens the critical path time of unit overhaul.

[0100] The technical solution of this application follows the technical route of dynamic data testing, accurate parameter estimation, and model-driven adjustment. Specifically, it employs an in-situ valve characteristic extraction method based on proactive perturbation and system identification, which extracts the thermal time constant and flow gain online through step perturbation in the initial stage of the experiment, thus solving the model inaccuracy problem caused by parameter drift with operating conditions; a one-time feedforward prediction and adjustment method for spray valve opening based on analytical models, which directly calculates the target opening through analytical formulas of energy balance and flow conservation, achieving one-step adjustment; a parameter identification and verification method for a dual-valve coordinated control model based on dynamic response data, which accurately decouples the temperature influence of the two pipelines using coupled dynamic response data during continuous step changes; and a rapid temperature adjustment method for a spray system based on "dynamic-static" combined data-driven approach, which deeply integrates dynamically extracted parameters with static measurement data to form a technical closed loop from dynamic excitation to static adjustment.

[0101] Furthermore, this application utilizes pre-dynamic testing to extract real-time thermodynamic characteristic parameters of the spray valve and pipeline online, resolving model inaccuracies without disassembly; it employs an analytical model to predict and calculate the target opening degree in a single feedforward prediction, avoiding repeated manual iterations; it establishes and verifies a dual-valve coordinated control model using coupled dynamic response data, ensuring precise coordinated control of the multivariable system; it constructs a closed-loop technology through dynamic-static data fusion, significantly improving the one-time success rate and efficiency of temperature regulation; and it achieves accurate estimation of thermodynamic characteristic parameters through a non-contact online extraction method without adding additional hardware sensors.

[0102] To facilitate understanding of the above embodiments, the following is in conjunction with... Figure 4 The flowchart shown is an example of the control method for a voltage regulator spray valve, which introduces a specific control process for a voltage regulator spray valve. Figure 4 This paper demonstrates the complete closed-loop implementation process of this application, from physical modeling, parameter identification and verification to coordinated control and effect evaluation. First, an energy balance equation is established based on energy conservation, and combined with the comprehensive equation of the spray valve flow characteristics, a dynamic temperature response mechanism model for the spray pipeline is constructed. Further, an analytical model of the temperature response based on valve opening is established, and a dynamic temperature model is constructed for continuous step-change conditions. Finally, a dual-valve coordinated control model is established. After completing the physical modeling, historical regulation data is input for preprocessing and key parameters are identified to determine the relationship between valve opening and temperature, and the model fitting accuracy is verified. If the verification fails, feedback is provided for re-identification; after successful verification, the coordinated control stage begins. In the coordinated control stage, the optimal valve opening is solved by combining constraints such as temperature deviation threshold and flow conservation, the corresponding control strategy is executed, and the effectiveness of the control strategy is evaluated. Figure 4 This paper comprehensively outlines the entire logical chain of this application, from physical principle modeling and parameter identification and verification to coordinated control execution. Based on the above closed-loop implementation logic, this application can effectively shorten the execution time of the continuous spray regulation test of the voltage regulator in the critical path of overhaul, reduce the dependence on personnel operating experience, and significantly improve the reliability and standardization level of temperature equalization control of multi-redundant spray pipelines.

[0103] See Figure 5 The diagram shows a schematic of a voltage regulator spray valve control device according to an embodiment of this application. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0104] The voltage regulator spray valve control device may specifically include the following modules: The signal processing module 501 is used to apply step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, and simultaneously collect the dynamic temperature response data of each spray line under the step disturbance.

[0105] The parameter calculation module 502 is used to determine the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data.

[0106] The condition determination module 503 is used to construct the steady-state analytical relationship between the outlet temperature and flow rate of each spray pipeline based on the thermal time constant, and to determine the physical equilibrium condition based on the steady-state analytical relationship. The physical equilibrium condition is characterized by the fact that when the steady-state temperature of each spray pipeline is equal, the steady-state flow rate of each spray pipeline is equal.

[0107] The flow determination module 504 is used to determine the target flow of each spray pipeline based on the current flow of each spray pipeline and the total flow conservation constraint, combined with the physical equilibrium condition.

[0108] The opening control module 505 is used to calculate the target opening of each spray valve based on the valve flow gain and the target flow corresponding to each spray pipeline, and adjust the opening of each spray valve to the corresponding target opening.

[0109] The pressure regulator spray valve control device disclosed in the above embodiments of this application first applies a step disturbance signal to the spray valves of at least two spray lines of the pressure regulator, and simultaneously collects the dynamic temperature response data of each spray line under the step disturbance; then, based on the dynamic temperature response data, it determines the thermal time constant and valve flow gain of each spray line; next, it constructs a steady-state analytical relationship between the outlet temperature and flow rate of each spray line based on the thermal time constant, and determines the physical equilibrium condition based on the steady-state analytical relationship, wherein the physical equilibrium condition represents that when the steady-state temperature of each spray line is equal, the steady-state flow rate of each spray line is equal; further, based on the current flow rate of each spray line and the total flow conservation constraint, and combined with the physical equilibrium condition, it determines the target flow rate of each spray line; finally, based on the valve flow gain and the target flow rate corresponding to each spray line, it calculates the target opening degree of each spray valve, and adjusts the opening degree of each spray valve to the corresponding target opening degree. Therefore, by identifying the characteristic parameters of the spray pipeline based on the on-site dynamic excitation data, and calculating the target opening degree based on the steady-state analytical relationship established by energy conservation and flow conservation, the traditional trial-and-error adjustment method is abandoned, and the spray valve is set accurately, quickly and consistently, which greatly shortens the critical path time of unit overhaul.

[0110] Furthermore, in one possible implementation of this application embodiment, the parameter calculation module 502 may specifically include the following units: The first processing unit is used to perform parameter fitting on the temperature dynamic response data using the least squares method or the transfer function fitting method to determine the thermal time constant and valve flow gain.

[0111] Therefore, by using the least squares method or transfer function fitting method to fit parameters to dynamic response data, the accuracy of characteristic parameter (thermal time constant and valve flow gain) extraction and the universality of data-driven approach are improved.

[0112] Furthermore, in another possible implementation of this application embodiment, the opening control module 505 may specifically include the following units: The first acquisition unit is used to acquire the dead zone parameters of each spray valve.

[0113] The second processing unit is used to calculate the target opening degree of each spray valve based on the target flow rate, valve flow gain, and dead zone parameters.

[0114] Therefore, by introducing and compensating for the dead zone parameters of each spray valve when calculating the target opening, the influence of valve mechanical characteristic deviation on the actual flow rate is eliminated, further improving the physical accuracy of valve opening mapping.

[0115] Furthermore, in another possible implementation of this application embodiment, the above-mentioned voltage regulator spray valve control device may further include the following modules: The model building module is used to construct a coupled temperature dynamic response model in response to continuous step changes in each spray valve during the process of applying step disturbance signals to the spray valves of at least two spray lines of the voltage regulator. The model is then used to correct the physical equilibrium conditions based on the coupled temperature dynamic response data of each spray line under continuous step changes.

[0116] Therefore, by constructing a coupled temperature dynamic response model when the valve undergoes continuous step changes and correcting the physical equilibrium conditions based on the model, the interference of coupled disturbances on the control logic during the continuous adjustment of multiple valves is effectively solved, ensuring the accuracy of the equilibrium condition setting under complex working conditions.

[0117] Furthermore, in another possible implementation of this application embodiment, the above-mentioned voltage regulator spray valve control device may further include the following modules: The verification processing module is used to adjust the opening of each spray valve to the corresponding target opening and then detect the dynamic temperature response of each spray pipeline after adjustment. Based on the comparison between the dynamic temperature response and the theoretical steady-state temperature corresponding to the physical equilibrium condition, the accuracy of the target opening of each spray valve is verified.

[0118] Therefore, by comparing and verifying the adjusted actual temperature dynamic response with the theoretical steady-state temperature, the reliability of the calculated target opening was confirmed at the operational level, providing a closed-loop technical means for the final test acceptance.

[0119] Furthermore, in another possible implementation of this application embodiment, the parameter calculation module 502 may specifically include the following units: The third processing unit is used to determine the thermal time constant of each spray pipeline based on the temperature dynamic response data and the preset pipeline volume parameters.

[0120] Therefore, by introducing preset pipeline volume parameters into the determination of the thermal time constant, the model parameters are correlated with the physical structure, thereby improving the physical reliability of the thermodynamic characteristic estimation.

[0121] Furthermore, in another possible implementation of this application embodiment, the above-mentioned voltage regulator spray valve control device may further include the following modules: The parameter setting module is used to set the opening change amplitude of the step disturbance signal to a unidirectional step signal that does not exceed a preset threshold before applying the step disturbance signal to the spray valves of at least two spray lines of the voltage regulator.

[0122] Therefore, by limiting the amplitude of the step disturbance signal's opening change to a unidirectional range not exceeding a preset threshold, the impact of large disturbances on system stability is reduced while ensuring the acquisition of effective dynamic responses.

[0123] Furthermore, in another possible implementation of this application embodiment, the above-mentioned voltage regulator spray valve control device may further include the following modules: The parameter update module is used to update the thermal time constant in response to changes in the steady-state temperature corresponding to the physical equilibrium condition, and to reconstruct the steady-state analytical relationship based on the updated thermal time constant.

[0124] Therefore, by updating the thermal time constant and reconstructing the steady-state analytical relationship in response to steady-state temperature changes, the adaptive capability of the control system to operating condition drift is enhanced, ensuring that the physical equilibrium conditions always match the current operating state.

[0125] Furthermore, in another possible implementation of this application embodiment, the opening control module 505 may specifically include the following units: The fourth processing unit is used to fuse the valve flow gain and dead zone parameters of each spray valve extracted under the step disturbance signal with the static measurement data corresponding to the physical equilibrium conditions, so as to determine the corrected valve flow gain and corrected dead zone parameters of each spray valve.

[0126] The fifth processing unit is used to calculate the target opening degree of each spray valve based on the target flow rate corresponding to each spray pipeline, the corrected valve flow gain, and the corrected dead zone parameters.

[0127] Therefore, by fusing the dynamically extracted key parameters with static measured data to obtain the corrected gain and dead zone parameters, the drift effect of model parameters caused by changes in operating conditions is eliminated, and the engineering accuracy of the target opening calculation is further improved.

[0128] The voltage regulator spray valve control device provided in this application embodiment can be applied in the foregoing method embodiment. For details, please refer to the description of the above method embodiment, which will not be repeated here.

[0129] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 6 As shown, the electronic device 600 of this embodiment includes: at least one processor 610 ( Figure 6The diagram shows only one processor, a memory 620, and a computer program 621 stored in the memory 620 and executable on the at least one processor 610. When the processor 610 executes the computer program 621, it implements the steps in the above-described embodiment of the regulator spray valve control method.

[0130] The electronic device 600 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. This electronic device may include, but is not limited to, a processor 610 and a memory 620. Those skilled in the art will understand that... Figure 6 This is merely an example of electronic device 600 and does not constitute a limitation on electronic device 600. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, etc.

[0131] The processor 610 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0132] In some embodiments, the memory 620 may be an internal storage unit of the electronic device 600, such as a hard disk or memory of the electronic device 600. In other embodiments, the memory 620 may be an external storage device of the electronic device 600, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 600. Furthermore, the memory 620 may include both internal and external storage units of the electronic device 600. The memory 620 is used to store the operating system, applications, boot loader, data, and other programs, such as the program code of the computer program. The memory 620 can also be used to temporarily store data that has been output or will be output.

[0133] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0134] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0135] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0136] In the embodiments provided in this application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings or direct couplings or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0137] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0138] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0139] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0140] The implementation of all or part of the processes in the methods of the above embodiments can also be accomplished by a computer program product. When the computer program product is run on an electronic device, the electronic device can implement the steps in the various method embodiments described above.

[0141] The embodiments described above are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for controlling a voltage regulator spray valve, characterized in that, include: A step disturbance signal is applied to the spray valves of at least two spray lines of the voltage regulator, and the temperature dynamic response data of each spray line under the step disturbance is collected simultaneously. Based on the aforementioned temperature dynamic response data, the thermal time constant and valve flow gain of each spray pipeline are determined; Based on the thermal time constant, a steady-state analytical relationship between the outlet temperature and flow rate of each spray pipeline is constructed, and a physical equilibrium condition is determined based on the steady-state analytical relationship. The physical equilibrium condition represents that when the steady-state temperature of each spray pipeline is equal, the steady-state flow rate of each spray pipeline is equal. Based on the current flow rate of each spray pipeline and the total flow rate conservation constraint, and in conjunction with the physical equilibrium condition, determine the target flow rate of each spray pipeline; Based on the valve flow gain and the target flow rate corresponding to each spray pipeline, calculate the target opening degree of each spray valve, and adjust the opening degree of each spray valve to the corresponding target opening degree.

2. The method according to claim 1, characterized in that, The step of determining the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data includes: The temperature dynamic response data is fitted with parameters using the least squares method or the transfer function fitting method to determine the thermal time constant and the valve flow gain.

3. The method according to claim 1, characterized in that, The step of calculating the target opening degree of each spray valve based on the valve flow gain and the target flow rate corresponding to each spray pipeline includes: Obtain the dead zone parameters of each spray valve; The target opening degree of each spray valve is calculated based on the target flow rate, the valve flow gain, and the dead zone parameter.

4. The method according to claim 1, characterized in that, The method further includes: During the process of applying step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, in response to the continuous step changes of each spray valve, a coupled temperature dynamic response model is constructed based on the coupled temperature dynamic response data of each spray line under the continuous step changes. The physical equilibrium conditions are modified based on the coupled temperature dynamic response model.

5. The method according to claim 1, characterized in that, After adjusting the opening degree of each of the spray valves to the corresponding target opening degree, the method further includes: Detect the dynamic temperature response of each spray pipeline after adjustment; The accuracy of the target opening degree of each spray valve is verified by comparing the dynamic temperature response with the theoretical steady-state temperature corresponding to the physical equilibrium condition.

6. The method according to claim 1, characterized in that, The step of determining the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data includes: Based on the temperature dynamic response data and the preset pipeline volume parameters, the thermal time constant of each spray pipeline is determined.

7. The method according to claim 1, characterized in that, Before applying step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, the method further includes: The amplitude of the opening change of the step disturbance signal is set to a unidirectional step signal that does not exceed a preset threshold.

8. The method according to claim 1, characterized in that, The method further includes: In response to a change in the steady-state temperature corresponding to the physical equilibrium condition, the thermal time constant is updated, and the steady-state analytical relationship is reconstructed based on the updated thermal time constant.

9. The method according to claim 1, characterized in that, The step of calculating the target opening degree of each spray valve based on the valve flow gain and the target flow rate corresponding to each spray pipeline includes: The valve flow gain and dead zone parameters of each spray valve extracted under the step disturbance signal are fused with the static measurement data corresponding to the physical equilibrium conditions to determine the corrected valve flow gain and corrected dead zone parameters of each spray valve. The target opening degree of each spray valve is calculated based on the target flow rate corresponding to each spray pipeline, the corrected valve flow gain, and the corrected dead zone parameter.

10. A voltage regulator spray valve control device, characterized in that, include: The signal processing module is used to apply step disturbance signals to the spray valves of at least two spray lines of the voltage regulator, and simultaneously collect the temperature dynamic response data of each spray line under the step disturbance. The parameter calculation module is used to determine the thermal time constant and valve flow gain of each spray pipeline based on the temperature dynamic response data. The condition determination module is used to construct a steady-state analytical relationship between the outlet temperature and flow rate of each spray pipeline based on the thermal time constant, and to determine the physical equilibrium condition based on the steady-state analytical relationship. The physical equilibrium condition represents that when the steady-state temperature of each spray pipeline is equal, the steady-state flow rate of each spray pipeline is equal. The flow rate determination module is used to determine the target flow rate of each spray pipeline based on the current flow rate of each spray pipeline and the total flow rate conservation constraint, and in combination with the physical equilibrium condition. The opening control module is used to calculate the target opening of each spray valve based on the valve flow gain and the target flow corresponding to each spray pipeline, and adjust the opening of each spray valve to the corresponding target opening.

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