Self-adaptive frequency modulation molten salt pump support stabilizing system

Abstract

The invention discloses a self-adaptive frequency modulation molten salt pump support stabilizing system, which belongs to the technical field of solar photo-thermal power generation, and comprises a support frame, a cross beam and a hydraulic damping mechanism, and is provided with a rigid adjusting system. The system outputs a vibration field coefficient based on rotation frequency, blade frequency, inherent frequency and vibration amplitude through a vibration field analysis module; the oil analysis module outputs an oil state coefficient based on oil viscosity, temperature and moisture; the gas state analysis module outputs a gas state coefficient based on the pipeline length, diameter and gas purity; and the gas content optimization module integrates the coefficients and the initial gas content, and outputs the target gas content through an established gas content optimization model, so that the gas pressure in the hydraulic buffer is dynamically adjusted, and the self-adaptive optimization of the system rigidity is realized. The resonance phenomenon in the operation of the molten salt pump is effectively restrained, and the accuracy and reliability of the vibration reduction effect are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of solar thermal power generation, and particularly relates to a self-adaptive frequency adjustment molten salt pump support stabilizing system. BACKGROUND

[0002] In a solar thermal power station, the molten salt pump is a key equipment for maintaining the circulation of the heat transfer and storage system, and its long-term stable operation is crucial. Due to the high rotation speed and large load variation of the molten salt pump, the excitation force generated by the rotation of the impeller is easy to cause vibration of the pump body and the supporting structure, and in severe cases, it can cause resonance, causing structural fatigue damage and even shutdown accidents. Therefore, vibration state monitoring and frequency characteristic analysis of the molten salt pump are carried out, and active frequency adjustment of the vibration reduction system is realized, which becomes an important fault suppression and performance optimization strategy.

[0003] At present, for the vibration reduction of such high-frequency rotating equipment, passive hydraulic buffers 302 or air spring vibration isolation schemes are mostly used. These methods consume vibration energy by installing damping elements on the pump body base. In addition, in the prior art, the performance of the vibration reducer is mainly maintained by regular maintenance, replacement of hydraulic oil or pre-charging of fixed pressure gas, and there is a lack of dynamic adjustment capability according to real-time working conditions. Although some advanced schemes introduce vibration sensors, they are mostly used for fault alarm rather than closed-loop control.

[0004] However, the prior art has obvious defects: first, the passive vibration reduction system cannot follow the excitation frequency offset caused by the change of pump rotation speed, and is easy to fall into resonance; second, the actual state of parameters such as viscosity, temperature of hydraulic oil and purity and pressure of gas will significantly affect the damping performance, and the existing rigid adjustment method does not consider the coupling influence of these factors, and lacks optimal decision-making of multi-state fusion; finally, the existing method cannot calculate and apply the most suitable gas pressure in real time to accurately adjust the natural frequency of the system, so it is difficult to realize self-adaptive vibration suppression. The present application aims to solve the above problems. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a self-adaptive frequency adjustment molten salt pump support stabilizing system, which solves the above problems.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: a self-adaptive frequency adjustment molten salt pump support stabilizing system, comprising a support frame, a cross beam installed on the support frame, and a hydraulic vibration reduction mechanism installed on the cross beam and using a hydraulic buffer for vibration reduction, further comprising:

[0007] a rigid adjustment system for optimizing the rigidity of the hydraulic vibration reduction mechanism installed with the molten salt pump, comprising:

[0008] The vibration field analysis module constructs a vibration field model based on the rotation frequency, the blade passing frequency, the current inherent frequency of the system, the vibration amplitude corresponding to the rotation frequency, and the vibration amplitude corresponding to the blade passing frequency, and outputs vibration field coefficients;

[0009] The oil analysis module constructs an oil state model based on the oil viscosity, the oil temperature, and the water content of the oil of the hydraulic buffer, and outputs oil state coefficients;

[0010] The gas state analysis module constructs a gas state model based on the gas pipeline length, the gas pipeline diameter, and the gas purity (nitrogen purity) filled in the hydraulic buffer, and outputs gas state coefficients;

[0011] The gas content optimization module constructs a gas content optimization model based on the initial gas content of the system in a static state, the vibration field coefficients, the oil base coefficients, and the gas state coefficients, and outputs target gas content.

[0012] On the basis of the above technical solutions, the application further provides the following optional technical solutions:

[0013] A further technical solution is that the gas content optimization model is represented as:

[0014]

[0015] wherein, the target gas content is represented as, the current oil state coefficient is represented as, the current gas state coefficient is represented as, the adiabatic index (or specific heat capacity ratio) is represented as, the initial gas content of the system in a static state is represented as.

[0016] A further technical solution is that the step of constructing a gas state model based on the gas pipeline length, the gas pipeline diameter, and the gas purity (nitrogen purity) filled in the hydraulic buffer to output gas state coefficients is:

[0017] The flow lag coefficient is obtained based on the gas pipeline length and the gas pipeline diameter;

[0018] The current gas purity and the current flow lag coefficient are introduced into the gas state model to output the current gas state coefficient, and the gas state model is represented as:

[0019]

[0020] wherein, the current gas state coefficient is represented as, the current flow lag coefficient is represented as, the current gas purity is represented as, And the greater the value, the faster the gas circuit response and the more accurate the gas control.

[0021] Further technical solutions: the step of constructing an oil state model based on the oil viscosity of the hydraulic buffer, the oil temperature and the oil moisture content to output an oil state coefficient is:

[0022] The oil temperature is introduced into the formula to obtain a temperature index, wherein, represents the oil temperature, represents the optimal working temperature of the oil, represents the allowable deviation from the optimal working temperature of the oil;

[0023] The oil viscosity is introduced into the formula to obtain a viscosity index, wherein, represents the rated viscosity of the oil, represents the oil viscosity;

[0024] The oil moisture content is introduced into the formula to obtain a moisture index, wherein, represents the oil moisture content, represents the critical value of the oil moisture;

[0025] The current temperature index, the current viscosity index and the current moisture index are introduced into the oil state model to obtain a current oil state coefficient, and the oil state model is represented as:

[0026]

[0027] wherein, represents the current oil state coefficient, represents the current temperature index, represents the current viscosity index, represents the current moisture index, and The greater the value, the better the oil state and the better the damping performance.

[0028] Further technical solutions: the step of constructing a vibration field model based on the rotation frequency, the blade passing frequency, the current natural frequency of the system, the vibration amplitude corresponding to the rotation frequency and the vibration amplitude corresponding to the blade passing frequency to output a vibration field coefficient is:

[0029] The frequency proximity is obtained based on the rotation frequency, the blade passing frequency and the current natural frequency of the system;

[0030] The amplitude severity is obtained based on the vibration amplitude corresponding to the rotation frequency and the vibration amplitude corresponding to the blade passing frequency;

[0031] The current frequency proximity and the current amplitude severity are introduced into the vibration field model to obtain a current vibration field coefficient, and the vibration field model is represented as:

[0032]

[0033] wherein, represents the current vibration field coefficient, represents the current frequency proximity, represents the current amplitude severity, the and the greater the value, the more dangerous the system is. tends to 1, it indicates that a serious resonance is occurring and the vibration is violent, and the natural frequency needs to be adjusted urgently.

[0034] Further technical solutions: the acquisition method of the flow lag coefficient is:

[0035] The flow lag model is constructed based on the gas pipeline length and the gas pipeline diameter to output the flow lag coefficient, and the flow lag model is represented as:

[0036]

[0037] wherein, represents the flow lag coefficient, represents the gas pipeline length, represents the gas pipeline diameter, represents the flow resistance empirical coefficient.

[0038] Further technical solutions: the frequency proximity acquisition method is:

[0039] The frequency proximity model is constructed based on the rotation frequency, the blade passing frequency and the current natural frequency of the system to output the frequency proximity, and the frequency proximity model is represented as:

[0040]

[0041] wherein, represents the frequency proximity, represents the rotation frequency, represents the blade passing frequency, represents the current natural frequency of the system, represents the prevention of zero decimal (such as ).

[0042] Further technical solutions: the acquisition method of the amplitude severity is:

[0043] The vibration amplitude corresponding to the rotation frequency and the vibration amplitude corresponding to the blade passing frequency are introduced into the amplitude severity model to output the amplitude severity, and the amplitude severity model is represented as:

[0044]

[0045] wherein, represents the amplitude severity, represents the vibration amplitude corresponding to the frequency conversion, represents the vibration amplitude corresponding to the leaf passing frequency, represents the vibration amplitude reference value.

[0046] Further technical solutions: the hydraulic damping mechanism includes a bearing plate and a hydraulic buffer mounted on the cross beam, the output end of the hydraulic buffer is fixedly connected with the bearing plate, the frequency conversion molten salt pump is detachably mounted on the bearing plate, the air cavity of the hydraulic buffer is provided with an air inlet hole and an air outlet hole, a one-way valve A connected with one end of a gas pipeline is mounted on the air inlet hole, the other end of the gas pipeline is connected with a gas pump, and a one-way valve B is mounted on the air outlet hole.

[0047] Further technical solutions: the hydraulic buffer further includes a cylinder body, a piston rod, a piston assembly and a bottom valve assembly, the bottom valve assembly for the air cavity and the liquid cavity throughly provided on the cylinder body is mounted at the bottom of the cylinder body, the piston assembly is in sliding fit with the liquid cavity, and one end of the piston rod extending out of the cylinder body is fixedly connected with the bearing plate.

[0048] The application provides a self-adaptive frequency conversion molten salt pump support stabilizing system, which has the following beneficial effects compared with the prior art:

[0049] 1. Firstly, the application evaluates the resonance risk and vibration severity in real time by constructing a vibration field model, thereby providing accurate basis for adjustment decision, secondly, the application quantifies the negative influence of oil performance attenuation and gas path response lag on damping effect by establishing oil state model and gas state model, thereby making the control strategy more comprehensive and reliable, and finally, the application inversely solves the optimal air content through a gas content optimization model, thereby realizing dynamic adjustment of the inherent frequency according to real-time working conditions, effectively avoiding resonance, and significantly improving the stability and safety of molten salt pump operation. BRIEF DESCRIPTION OF DRAWINGS

[0050] Fig. 1 It is a flowchart of the rigid adjustment system of the application.

[0051] Fig. 2 It is a three-dimensional structure schematic diagram of the application.

[0052] Fig. 3 It is a structure schematic diagram of the hydraulic damping mechanism in the application

[0053] Fig. 4 It is a structure schematic diagram of the hydraulic buffer in the application.

[0054] Marked 1, support frame; 2, crossbeam; 3, hydraulic damping mechanism; 301, bearing plate; 302, hydraulic buffer; 3021, cylinder body; 3022, piston rod; 3023, piston assembly; 3024, bottom valve assembly; 3025, liquid cavity; 3026, gas cavity; 3027, one-way valve A; 3028, one-way valve B. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0056] The specific implementation of the present application is described in detail below in combination with specific examples.

[0057] Please refer to Figs. 1 to 4 For an embodiment of the present application, a self-adaptive frequency modulation molten salt pump support stabilizing system is provided, which comprises a support frame 1, a crossbeam 2 mounted on the support frame 1, and a hydraulic damping mechanism 3 mounted on the crossbeam 2 and using a hydraulic buffer 302 for damping, and further comprises:

[0058] A rigidity adjusting system is used to optimize the rigidity of the hydraulic damping mechanism 3 on which the molten salt pump is mounted, which comprises:

[0059] A vibration field analysis module is used to construct a vibration field model based on the rotation frequency, the blade passing frequency, the current natural frequency of the system, the vibration amplitude corresponding to the rotation frequency, and the vibration amplitude corresponding to the blade passing frequency, and output vibration field coefficients;

[0060] An oil analysis module is used to construct an oil state model based on the oil viscosity, the oil temperature, and the water content of the oil of the hydraulic buffer 302, and output oil state coefficients;

[0061] A gas state analysis module is used to construct a gas state model based on the gas pipeline length, the gas pipeline diameter, and the gas purity filled in the hydraulic buffer 302, and output gas state coefficients;

[0062] A gas content optimization module is used to construct a gas content optimization model based on the initial gas content at the static state of the system, the vibration field coefficients, the oil base coefficients, and the gas state coefficients, and output target gas content.

[0063] Through the technical solution, the application effectively avoids the resonance phenomenon caused by the excitation frequency offset, ensures the stable operation of the molten salt pump at different rotating speeds, dynamically compensates the influence of the hydraulic oil state change on the damping performance, maintains the continuous effectiveness of the damping system, eliminates the control deviation caused by the gas purity and pipeline parameter fluctuation, and realizes high-precision rigid adjustment. Through the multi-factor fusion closed-loop control mechanism, the adaptability of the support system to complex working conditions is significantly improved.

[0064] Preferably, the step of constructing the vibration field model based on the rotation frequency, the blade passing frequency, the current natural frequency of the system, the vibration amplitude corresponding to the rotation frequency, and the vibration amplitude corresponding to the blade passing frequency to output the vibration field coefficient is:

[0065] The frequency proximity degree model is constructed based on the rotation frequency, the blade passing frequency, and the current natural frequency of the system to output the frequency proximity degree, and the frequency proximity degree model is represented as:

[0066]

[0067] Wherein, The frequency proximity degree is represented as, The rotation frequency is represented as, The blade passing frequency is represented as, The current natural frequency of the system is represented as, The zero decimal is represented as (e.g. );

[0068] The vibration amplitude corresponding to the rotation frequency and the vibration amplitude corresponding to the blade passing frequency are introduced into the amplitude severity model to output the amplitude severity, and the amplitude severity model is represented as:

[0069]

[0070] Wherein, The amplitude severity is represented as, The vibration amplitude corresponding to the rotation frequency is represented as, The vibration amplitude corresponding to the blade passing frequency is represented as, The vibration amplitude reference value is represented as;

[0071] The current frequency proximity degree and the current amplitude severity are introduced into the vibration field model to obtain the current vibration field coefficient, and the vibration field model is represented as:

[0072]

[0073] Wherein, The current vibration field coefficient is represented as, The current frequency proximity degree is represented as, The current amplitude severity is represented as, the The greater the value, the more dangerous the system is (the greater the value, the more dangerous the system is When the value approaches 1, it indicates that severe resonance and intense vibration are occurring, and the natural frequency urgently needs to be adjusted.

[0074] The rotational frequency refers to the rotational frequency of the molten salt pump's main shaft, which can be calculated by measuring the number of pump shaft rotations in real time using a speed sensor. It characterizes the periodic variation of the excitation force. The impeller passage frequency is the product of the number of impeller blades and the rotational frequency, which can be calculated by combining a preset blade number parameter with the real-time rotational frequency. It reflects the vibration characteristics caused by the periodic turbulence of the impeller. The system's current natural frequency refers to the actual resonant frequency of the support system under dynamic operating conditions. It can be obtained using a vibration spectrum analyzer through impact tests or operational data spectrum analysis. It is used to determine the degree of matching between the excitation force frequency and the system's natural frequency. The vibration amplitude reference value is a preset safe vibration amplitude threshold, which can be set based on the equipment's structural strength and historical fault data. It is used to quantify the degree of danger of the vibration amplitude. Zero-decimal prevention is a very small constant set to prevent the denominator from being zero, ensuring the validity of the frequency ratio calculation.

[0075] Specifically, the frequency proximity model dynamically captures the proximity between the excitation frequency and the system's natural frequency by calculating the maximum ratio of the rotational frequency and blade passage frequency to the system's natural frequency. When any excitation frequency approaches the natural frequency, the frequency proximity output by this model will significantly increase, triggering a resonance risk warning. The amplitude severity model uses an exponential function to convert the ratio of the maximum vibration amplitude to the reference value into a dimensionless parameter. When the vibration amplitude exceeds the reference value, the model's output value rapidly approaches 1, intuitively reflecting the danger of exceeding the amplitude limit. The vibration field model couples the frequency proximity and amplitude severity through geometric averaging to generate a vibration field coefficient that comprehensively reflects the system's vibration risk level. The larger this coefficient value, the more the system faces the dual risks of both frequency approaching the resonance point and amplitude exceeding the limit, requiring immediate adjustment of the gas content to change the system's natural frequency.

[0076] Through the above technical solution, this application achieves a dynamic comprehensive assessment of the vibration state of a molten salt pump, effectively solving the problem that traditional methods cannot determine the coupling risk of frequency deviation and amplitude exceeding limits in real time. By calculating both frequency proximity and amplitude severity, the critical state of the system approaching resonance can be accurately identified, triggering timely gas content optimization control and avoiding resonance caused by frequency deviation. This model simultaneously considers the vibration characteristics of two excitation sources: impeller turbulence and main shaft rotation, ensuring reliable assessment of the system's risk level under different operating conditions and providing accurate vibration state input for adaptive frequency modulation.

[0077] Preferably, the step of constructing an oil state model and outputting oil state coefficients based on the oil viscosity, oil temperature, and oil moisture content of the hydraulic buffer 302 is as follows:

[0078] Import oil temperature into the formula The temperature index is obtained from the data. Indicates the oil temperature. This indicates the optimal operating temperature of the oil. This indicates the permissible deviation from the optimal operating temperature of the oil.

[0079] Import the oil viscosity into the formula The viscosity index is obtained from the data. Indicates the rated viscosity of the oil. Indicates the viscosity of the oil;

[0080] Import the oil moisture content into the formula. The moisture index was obtained from the sample, among which... Indicates the water content of the oil. This indicates the critical value of water content in the oil.

[0081] The current temperature index, current viscosity index, and current moisture index are imported into the oil state model to obtain the current oil state coefficient. The oil state model is expressed as follows:

[0082]

[0083] in, Indicates the current state coefficient of the oil. This indicates the current temperature index. This indicates the current viscosity index. This indicates the current moisture index. Furthermore, the higher the value, the better the oil condition and the better the damping performance.

[0084] The optimal operating temperature of the hydraulic damper 302 refers to the midpoint of the temperature range within which the hydraulic damper achieves its optimal damping performance. This can be achieved by using the midpoint of the recommended operating temperature range provided by the hydraulic damper supplier, and is used to measure the deviation of the actual temperature from the ideal state. The permissible deviation from the optimal operating temperature refers to the standard deviation range of the hydraulic damper's temperature from the optimal value. This can be determined through hydraulic damper thermal stability testing, and is used to quantify the boundary of the impact of temperature fluctuations on hydraulic damper performance. The rated viscosity of the hydraulic damper refers to the standard viscosity value selected during the design of the hydraulic damper 302. This can be achieved by using the viscosity grade specified in the hydraulic system design manual, and serves as a benchmark value for assessing whether the actual viscosity is abnormal. The critical water content threshold of the hydraulic damper refers to the maximum permissible water content threshold in the hydraulic damper. This can be achieved by using the emulsification critical value determined by the hydraulic damper's oxidation resistance test, and is used to determine whether water contamination leads to deterioration of hydraulic damper performance.

[0085] Specifically, the temperature index is calculated using a Gaussian function. It reaches its maximum value of 1 when the actual temperature equals the optimal operating temperature. As the temperature deviation increases, the index decays exponentially, effectively reflecting the nonlinear impact of temperature anomalies on the viscoelastic properties of the oil. The viscosity index is calculated using a symmetrical decay function. It is 1 when the actual viscosity equals the rated viscosity. Positive or negative deviations in viscosity lead to a decrease in the index, accurately characterizing the influence of viscosity deviation on oil flow resistance. The moisture index is calculated using an inverse square function. It drops to 0.5 when the moisture content reaches a critical value. As the moisture content increases, the index rapidly approaches zero, precisely describing the destructive effect of moisture contamination on the lubrication performance of the oil. Finally, the oil condition coefficient is obtained as the product of the three indices. An anomaly in any parameter will lead to a decrease in the overall coefficient, achieving a coupled evaluation of multi-dimensional oil condition.

[0086] Preferably, the steps for constructing a gas state model and outputting gas state coefficients based on the gas pipe length, gas pipe diameter, and gas purity filled into the hydraulic buffer 302 are as follows:

[0087] A flow hysteresis model is constructed based on the length and diameter of the gas pipeline, and the flow hysteresis coefficient is output. The flow hysteresis model is expressed as follows:

[0088]

[0089] in, Indicates the flow lag coefficient. Indicates the length of the gas pipeline. Indicates the diameter of the gas pipe. This represents the empirical coefficient of flow resistance;

[0090] The current gas purity and current flow hysteresis coefficient are imported into the gas state model to output the current gas state coefficient. The gas state model is expressed as follows:

[0091]

[0092] in, Represents the current gas state coefficient. Indicates the current liquidity lag coefficient. Indicates the current gas purity, the The larger the value, the faster the gas path response and the more precise the gas control.

[0093] The gas pipeline length refers to the actual extension distance of the pipeline connecting the air pump and the hydraulic buffer 302. An increased pipeline length leads to increased gas flow resistance. The gas pipeline diameter refers to the inner diameter of the gas transmission pipeline's cross-section; a smaller diameter restricts the gas flow cross-sectional area. The flow resistance empirical coefficient is a parameter calibrated through expert experience or experiments, reflecting the influence of pipeline inner wall roughness and the number of bends on flow resistance. It can be obtained by fitting fluid mechanics experimental data. Gas purity refers to the volume percentage of the target component in the gas filled into the hydraulic buffer 302, which can be detected using a gas analyzer. Reduced purity introduces impurities that interfere with pressure control accuracy. The flow hysteresis coefficient is a parameter quantifying the delay in gas transmission within the pipeline. It can be calculated using a flow hysteresis model; a smaller value indicates a slower gas path response. The gas state coefficient is an evaluation index comprehensively reflecting gas path transmission efficiency and gas quality. It can be calculated using a gas state model; a larger value indicates more precise gas control.

[0094] Specifically, when calculating the flow hysteresis coefficient using the flow hysteresis model, the ratio of the gas pipe length to its diameter is weighted by an empirical flow resistance coefficient. For example, when the pipe length is 2 meters, the diameter is 0.02 meters, and the empirical flow resistance coefficient is 0.15, the flow hysteresis coefficient can be calculated as 0.87, indicating a certain delay in the gas path response. Subsequently, the gas purity is multiplied by the flow hysteresis coefficient to obtain the gas state coefficient. For example, when the gas purity is 0.95 and the flow hysteresis coefficient is 0.87, the gas state coefficient is 0.83, indicating that the gas path control is at a high precision. This process quantifies the impact of pipe structure parameters on gas transmission speed and, combined with the effect of gas purity on control stability, dynamically adjusts the gas state coefficient, providing accurate input for subsequent gas content optimization.

[0095] Through the above technical solution, this application solves the problem of insufficient gas path response speed and reduced control accuracy caused by ignoring gas pipeline parameters and gas purity. By dynamically calculating the gas state coefficient, the actual state of the gas path is accurately evaluated, providing a reliable basis for gas content optimization, thereby improving the gas control response speed and accuracy of the hydraulic buffer 302 and avoiding the degradation of vibration reduction performance caused by gas path lag or gas impurities.

[0096] Preferably, the gas content optimization model is expressed as:

[0097]

[0098] in, Indicates the content of the target gas. Indicates the current state coefficient of the oil. Represents the current gas state coefficient. It represents the adiabatic index (or specific heat ratio). This indicates the initial gas content when the system is in a static state.

[0099] Among them, the vibration field coefficient is a comprehensive index reflecting the degree of deviation between the system's vibration energy and frequency, used to quantify the risk of the system approaching resonance. The hydraulic fluid state coefficient is a comprehensive parameter for evaluating hydraulic fluid performance, used to characterize the actual impact of the fluid on damping performance. The gas state coefficient is an index characterizing gas purity and transmission efficiency, used to reflect the gas circuit response speed and control accuracy. The adiabatic index is a thermodynamic characteristic parameter during gas compression; specifically, it can use the standard value corresponding to the gas type, such as that for nitrogen. The value can be 1.4 to ensure that the model conforms to the law of energy conservation.

[0100] Specifically, the target gas content The generation process is achieved through the dynamic fusion of vibration field coefficients, oil state coefficients, and gas state coefficients. When the system vibration field coefficients... An increase in the value indicates that the excitation frequency is close to the natural frequency or the vibration amplitude exceeds the safe range. In this case, the model increases the target gas content. Adjusting system rigidity shifts the natural frequency to avoid the resonance range. Oil state coefficient. A decrease indicates that oil deterioration has led to a decline in damping performance. The model adjusts this by increasing... The denominator weights are used to automatically compensate for gas content to maintain system stability. Gas state coefficient. Real-time calculations ensure that gas purity and pipeline transmission efficiency correct for changes in gas content, for example, when gas purity decreases or pipeline flow resistance increases. A decrease in the value will cause an increase in the target gas content to offset the response delay. (Adiabatic index) The introduction of exponentials allows the nonlinear characteristics of the gas compression process to be incorporated into the calculation. For example, in the rapid charging and discharging process of gas, exponential calculations can accurately reflect the energy relationship between pressure and volume changes.

[0101] Through the above technical solution, this application solves the resonance risk problem caused by the static gas content setting in the prior art. It can calculate and adjust the gas content in real time during the operation of the molten salt pump, ensuring that the system's natural frequency always avoids the excitation frequency band. For example, when the oil temperature rises and the viscosity decreases, the model automatically increases the target gas content by reducing the oil state coefficient to compensate for the loss of damping performance; when the flow resistance of the gas pipeline increases due to scaling, the model triggers a gas content adjustment command by reducing the gas state coefficient to maintain the gas path response speed. This achieves adaptive optimization of system rigidity, effectively suppresses the resonance phenomenon caused by frequency overlap, and improves the stability of the molten salt pump operation.

[0102] Preferably, the hydraulic damping mechanism 3 includes a support plate 301 and a hydraulic buffer 302 mounted on the crossbeam 2. The output end of the hydraulic buffer 302 is fixedly connected to the support plate 301. The frequency-modulated molten salt pump is detachably mounted on the support plate 301. The air chamber 3026 of the hydraulic buffer 302 has an air inlet and an air outlet. A one-way valve A3027 connected to one end of a gas pipeline is installed on the air inlet. The other end of the gas pipeline is connected to an air pump. A one-way valve B3028 is installed on the air outlet. The purpose of this arrangement is to use the air pump, gas pipeline, and one-way valve A3027 to fill the air chamber 3026 of the hydraulic buffer 302 with air, and to use the air outlet in conjunction with the one-way valve B3028 to exhaust the gas in the air chamber 3026 of the hydraulic buffer 302.

[0103] The hydraulic buffer 302 further includes a cylinder body 3021, a piston rod 3022, a piston assembly 3023, and a bottom valve assembly 3024. The bottom valve assembly 3024, which connects the air chamber 3026 and the liquid chamber 3025 formed on the cylinder body 3021, is mounted at the bottom of the cylinder body 3021. The piston assembly 3023 slides in conjunction with the liquid chamber 3025. One end of the piston rod 3022 extending out of the cylinder body 3021 is fixedly connected to the support plate 301. The piston assembly 3023 is pushed to slide along the liquid chamber 3025. At this time, the piston assembly 3023 intercepts the hydraulic oil in the liquid chamber 3025 and squeezes the liquid below the piston assembly 3023. When the hydraulic oil below the piston assembly 3023 is greater than the bottom piston assembly 3023, the hydraulic oil enters the gas chamber 3026 and squeezes the gas (nitrogen) in the gas chamber 3026 until the buffering is completed. After the buffering is completed, the gas pushes the hydraulic oil and the piston assembly 3023 to reset.

[0104] Preferably, hydraulic fluid is present in the air chamber 3026. This arrangement is intended to prevent gas located in the air chamber 3026 from entering the liquid chamber 3025.

[0105] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0106] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An adaptive frequency-modulated molten salt pump support stabilization system, characterized in that, The system includes a support frame, a crossbeam mounted on the support frame, and a hydraulic damping mechanism mounted on the crossbeam and using a hydraulic damper for vibration reduction. It also includes: A rigidity adjustment system is used to optimize the rigidity of a hydraulic damping mechanism equipped with a molten salt pump, including: The vibration field analysis module constructs a vibration field model based on the rotational frequency, blade passage frequency, the system's current natural frequency, the vibration amplitude corresponding to the rotational frequency, and the vibration amplitude corresponding to the blade passage frequency, and outputs the vibration field coefficients. The oil analysis module constructs an oil state model based on the oil viscosity, oil temperature, and oil moisture content of the hydraulic buffer, and outputs oil state coefficients. The gas state analysis module constructs a gas state model based on the gas pipe length, gas pipe diameter, and gas purity filled into the hydraulic buffer, and outputs gas state coefficients. The gas content optimization module constructs a gas content optimization model based on the initial gas content, vibration field coefficient, oil base coefficient, and gas state coefficient when the system is in a static state, and outputs the target gas content.

2. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 1, characterized in that, The gas content optimization model is expressed as follows: in, Indicates the content of the target gas. This represents the current state coefficient of the oil. Represents the current gas state coefficient. Indicates the adiabatic index. This indicates the initial gas content when the system is in a static state.

3. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 2, characterized in that, The steps for constructing a gas state model and outputting gas state coefficients based on the gas pipe length, gas pipe diameter, and gas purity filled into the hydraulic buffer are as follows: The flow hysteresis coefficient is obtained based on the length and diameter of the gas pipeline. The current gas purity and current flow hysteresis coefficient are imported into the gas state model to output the current gas state coefficient. The gas state model is expressed as follows: in, Represents the current gas state coefficient. This represents the current liquidity lag coefficient. Indicates the current gas purity, the The larger the value, the faster the gas path response and the more precise the gas control.

4. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 2, characterized in that, The steps for constructing an oil state model and outputting oil state coefficients based on the oil viscosity, oil temperature, and oil moisture content of the hydraulic buffer are as follows: Import oil temperature into the formula The temperature index is obtained from the data. Indicates the oil temperature. This indicates the optimal operating temperature of the oil. This indicates the permissible deviation from the optimal operating temperature of the oil. Import the oil viscosity into the formula The viscosity index is obtained from the data. Indicates the rated viscosity of the oil. Indicates the viscosity of the oil; Import the oil moisture content into the formula. The moisture index was obtained from the sample. Indicates the water content of the oil. This indicates the critical value of water content in the oil. The current temperature index, current viscosity index, and current moisture index are imported into the oil state model to obtain the current oil state coefficient. The oil state model is expressed as follows: in, This represents the current state coefficient of the oil. This indicates the current temperature index. This indicates the current viscosity index. This indicates the current moisture index. Furthermore, the higher the value, the better the oil condition and the better the damping performance.

5. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 2, characterized in that, The steps for constructing a vibration field model and outputting the vibration field coefficients based on the rotational frequency, blade passage frequency, system current natural frequency, vibration amplitude corresponding to the rotational frequency, and vibration amplitude corresponding to the blade passage frequency are as follows: Frequency proximity is obtained based on frequency conversion, leaf pass frequency, and the system's current inherent frequency; The amplitude severity is obtained based on the vibration amplitude corresponding to the rotation frequency and the vibration frequency corresponding to the leaf. The current frequency proximity and current amplitude severity are imported into the vibration field model to obtain the current vibration field coefficients. The vibration field model is expressed as follows: in, Indicates the current vibration field coefficient. Indicates the proximity of the current frequency. Indicates the current amplitude severity, the Furthermore, the larger the value, the more dangerous the system.

6. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 3, characterized in that, The flow hysteresis coefficient is obtained as follows: A flow hysteresis model is constructed based on the length and diameter of the gas pipeline, and the flow hysteresis coefficient is output. The flow hysteresis model is expressed as follows: in, Indicates the flow lag coefficient. Indicates the length of the gas pipeline. Indicates the diameter of the gas pipe. This represents the empirical coefficient of flow resistance.

7. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 5, characterized in that, The frequency proximity is obtained as follows: A frequency proximity model is constructed based on the frequency conversion, leaf passage frequency, and the system's current inherent frequency to output the frequency proximity. The frequency proximity model is expressed as follows: in, Indicates frequency similarity. Indicates frequency conversion. Indicates the frequency of leaf passage. Indicates the system's current inherent frequency. Indicates protection against zero decimals.

8. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 5, characterized in that, The method for obtaining the amplitude severity is as follows: The vibration amplitude corresponding to the rotation frequency and the vibration amplitude corresponding to the leaf passage frequency are imported into the amplitude severity model to output the amplitude severity. The amplitude severity model is expressed as follows: in, Indicates the severity of the amplitude. This indicates the vibration amplitude corresponding to the rotational frequency. This indicates the vibration amplitude corresponding to the frequency through which the leaf passes. This indicates the reference value for vibration amplitude.

9. The adaptive frequency-modulated molten salt pump support stabilization system according to any one of claims 1-8, characterized in that, The hydraulic damping mechanism includes a support plate and a hydraulic damper mounted on a crossbeam. The output end of the hydraulic damper is fixedly connected to the support plate. The frequency-modulated molten salt pump is detachably mounted on the support plate. The air chamber of the hydraulic damper has an air inlet and an air outlet. A one-way valve A connected to one end of a gas pipeline is installed on the air inlet. The other end of the gas pipeline is connected to an air pump. A one-way valve B is installed on the air outlet.

10. The adaptive frequency-modulated molten salt pump support stabilization system according to claim 9, characterized in that, The hydraulic buffer also includes a cylinder, a piston rod, a piston assembly, and a bottom valve assembly. The bottom valve assembly, which connects the air chamber and the liquid chamber opened on the cylinder, is installed at the bottom of the cylinder. The piston assembly slides with the liquid chamber, and one end of the piston rod extending out of the cylinder is fixedly connected to the support plate.

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