A test system for high-pressure cold helium solenoid valve performance testing

Abstract

The present invention discloses a test system for testing the performance of high-pressure cold helium solenoid valves, which relates to the field of cryogenic fluid engineering. This method establishes multidimensional radial pressure differential sampling points within the cold helium channel of the solenoid valve, and combines high-frequency sampling MEMS pressure sensors with a velocity inversion algorithm. The system can calculate in real time the velocity component V(x, r, t) and its rotation ▽×V(x, r, t) at the radial position r of the valve body in the cold helium flow direction at time t. The system also constructs a local disturbance spectrum energy density function Md based on the disturbance weighting function N(x, r) at the radial position r of the valve body in the cold helium flow direction. This method not only overcomes the technical limitation of the existing technology that only monitors the total cold helium flow rate, but also enables real-time determination of the disturbance level by establishing a disturbance interval threshold, providing a reliable basis for subsequent adjustment decisions and effectively improving the test system's ability to detect local flow anomalies at an early stage.

Description

Technical Field

[0001] The present invention relates to the technical field of cryogenic fluid engineering, and in particular to a test system for testing the performance of a high-pressure cold helium solenoid valve. Background Art

[0002] Performance testing of high-pressure, cold-helium solenoid valves falls within the field of cryogenic fluid engineering and intelligent control, specifically focusing on operational safety analysis and dynamic testing of cryogenic fluidic control equipment. More specifically, the research focuses on the design of a performance testing system for electromagnetic drive control components and high-pressure, cold-helium solenoid valves operating under high-pressure, low-temperature, cold-helium conditions. This system focuses on evaluating the solenoid valve's response to complex disturbances, thermal-magnetic coupling, and hysteresis mechanisms under the dynamic flow of high-pressure, cold helium, providing a novel test platform for online diagnosis and state prediction.

[0003] Current performance testing methods for high-pressure cold helium solenoid valves generally rely on single-variable static evaluation indicators, such as overall flow rate change, opening and closing response time, and magnetic field variation trends. These methods fail to fully consider internal flow field disturbance mechanisms, such as the coupling effects of vortices, local shear, and electromagnetic response. In particular, they lack mechanisms for early identification and intervention of magnetic drive hysteresis effects caused by local structural changes in the flow field. As a result, current testing systems are unable to provide early warning when faced with complex cold helium disturbances, such as throttle section backflow, near-wall vortices, and inlet shear flow. Control strategies are often passive, resulting in long response delays, redundant magnetic energy configurations, and frequent solenoid valve thermal instability.

[0004] This limitation stems from the fact that the variable disturbance behavior of cold helium flow is difficult to reveal with traditional total flow rate and valve position signals, especially in the high-pressure throttling section, where the cold helium vortex reconstruction phenomenon is easily induced due to the intensification of the valve core boundary layer disturbance, local backflow or vortex separation. Although this phenomenon does not cause obvious changes in the overall flow rate, it will significantly interfere with the displacement response of the solenoid valve core, causing control magnetic force hysteresis or oscillation. Under high-frequency working conditions, if the formation process of such local disturbances cannot be effectively identified, it often leads to abnormal operating conditions such as solenoid valve triggering failure, cold helium backflow overpressure, and even overheating and instability of the entire system. Therefore, there is an urgent need for a comprehensive performance testing platform that integrates micro-scale disturbance feature identification and magnetothermal response compensation mechanism to achieve dynamic and accurate evaluation of the operating status of high-pressure cold helium solenoid valves and feedforward control optimization. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a test system for high-pressure cold helium solenoid valve performance testing, which solves the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a test system for high-pressure cold helium solenoid valve performance testing, including a data acquisition module, a data processing module, a local disturbance analysis module, a coupling correction module and a comprehensive risk analysis module:

[0007] The data acquisition module collects cold helium pressure data in real time by setting sampling points in the cold helium channel and transmits the cold helium pressure data to the test system;

[0008] The data processing module obtains a standardized data set by preprocessing the cold helium pressure data in the test system;

[0009] The local disturbance analysis module calculates and outputs the local disturbance spectrum energy density function Md based on the standardized data set, sets the disturbance interval threshold and performs preliminary comparative evaluation with the local disturbance spectrum energy density function Md, and performs disturbance level classification;

[0010] The coupling correction module triggers the linkage compensation mechanism when the disturbance level is classified as level L2. The linkage compensation mechanism calculates and outputs the coupling compensation correction rate function Xz based on the thermal magnetic flow data collected in the cold helium solenoid valve pipeline, and corrects and evaluates the output result of the coupling compensation correction rate function Xz to trigger the relevant control strategy;

[0011] The comprehensive risk analysis module outputs a comprehensive risk index PRCI by comprehensively calculating the coupling compensation correction rate function Xz and the local disturbance spectrum energy density function Md, and performs a secondary comparative evaluation between the preset risk threshold Pth and the comprehensive risk index PRCI to judge the coupling correction compensation situation.

[0012] Preferably, the data acquisition module includes a pressure signal acquisition unit and a data transmission unit;

[0013] The pressure signal acquisition unit is configured by setting radial pressure differential sampling points in the solenoid valve channel, and setting the radial pressure differential sampling points to x along the cold helium flow direction and r along the valve body radial direction. The radial pressure differential sampling points include three radial layers and two longitudinal sections.

[0014] The radial pressure difference sampling points specifically include C1 (x1, r1) sampling point, C2 (x1, r2) sampling point, C3 (x1, r3) sampling point, C4 (x2, r1) sampling point, C5 (x2, r2) sampling point and C6 (x2, r3);

[0015] Among them, the sampling point C1 (x1, r1) is located at the mid-diameter of the upstream inlet;

[0016] The sampling point C2 (x1, r2) is located near the wall of the upstream inlet;

[0017] The sampling point C3 (x1, r3) is located on the far wall of the upstream inlet;

[0018] The location of sampling point C4 (x2, r1) is the downstream throttling center;

[0019] The sampling point C5 (x2, r2) is located near the downstream throttling wall;

[0020] The sampling point C6 (x2, r3) is located at the far wall of the downstream throttle;

[0021] At the same time, a MEMS pressure sensor is set in each sampling point, and the sampling period is set to 0.2ms to output the cold helium pressure data in real time. The cold helium pressure data includes the electrical signal V at time t of each sampling point. P (t);

[0022] The data transmission unit is directly connected to the test system by setting a linear interface through the communication module of the MEMS pressure sensor, and transmits the cold helium pressure data collected in real time to the test system.

[0023] Preferably, the data processing module includes a feature extraction unit and a preprocessing unit;

[0024] The feature extraction unit converts the electrical signal VP(t) of each sampling point at time t into the instantaneous pressure P at the valve body radial position r in the cold helium flow direction position x of the i-th sampling point at time t by using the calibration curve. i (x, r, t), calculate the difference between the instantaneous pressure P of the two radial sampling points, and obtain the instantaneous pressure difference △P of the valve body radial position r at the i-th sampling point in the cold helium flow direction at time t i (x, r, t);

[0025] The velocity vector is inverted using the Bernoulli relation. The velocity value of each sampling point is assembled into the velocity component V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t. The velocity component V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t is spatially differentiated to obtain the curl ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t.

[0026] The preprocessing unit performs dimensionless processing on the obtained rotation ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t using a Z-score normalization method, thereby eliminating the unit dimension effect of the rotation ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t.

[0027] Preferably, the local disturbance analysis module includes a disturbance spectrum density calculation unit and a disturbance evaluation unit;

[0028] The disturbance spectrum density calculation unit calculates the weighted integral of the square of the curl ▽×V(x, r, t) at the valve body radial position r in the cold helium flow direction at time t, and outputs a local disturbance spectrum energy density function Md to measure the vortex structure complexity of all disturbance energy inside the cold helium flow field.

[0029] Preferably, the disturbance assessment unit simultaneously records the response delay, oscillation amplitude, and failure behavior of the solenoid valve based on the local disturbance spectrum energy density function Md under multiple actual operating conditions, finds the local disturbance spectrum energy density function Md threshold corresponding to each behavior, and constructs a disturbance interval threshold (as shown in Table 1). The disturbance interval threshold includes a first disturbance threshold F1, a second disturbance threshold F2, and a third disturbance threshold F3.

[0030] The local disturbance spectrum energy density function Md obtained in real time is preliminarily compared and evaluated with the disturbance interval threshold to determine the current cold helium disturbance situation. Based on the preliminary comparison and evaluation results, the disturbance level is classified. The specific evaluation contents are as follows;

[0031] When the local disturbance spectrum energy density function Md is less than the first disturbance threshold F1, it is classified as level L0 and continues to operate without intervention;

[0032] When the first disturbance threshold F1 ≤ local disturbance spectrum energy density function Md < second disturbance threshold F2, it is classified as level L1. At this time, the trigger current of the high-pressure cold helium solenoid valve is increased by 5%, the energy input time is increased by 2ms, and the cooling module is started 5ms in advance to activate the liquid helium pre-injection in advance;

[0033] When the second disturbance threshold F2 ≤ local disturbance spectrum energy density function Md < third disturbance threshold F3, it is classified as level L2. At this time, the trigger current of the high-pressure cold helium solenoid valve is increased by 10%, the energy input time is increased by 5ms, and the cooling module is started 15ms in advance to activate the liquid helium pre-injection in advance, and the linkage compensation mechanism is triggered;

[0034] When the local disturbance spectrum energy density function Md ≥ the third disturbance threshold F3, it is classified as level L3. At this time, the high-pressure cold helium solenoid valve current is prohibited from being triggered. A delay of 20ms is required to re-execute the preliminary comparative evaluation. If the L3 level state is continuously greater than or equal to 3 trigger cycles, an alarm is triggered to alert the operation and maintenance personnel, and the current high-pressure cold helium solenoid valve frequency is automatically reduced to the minimum.

[0035] Preferably, the coupling correction and revision module includes a coupling data acquisition unit, a coupling correction and revision unit, and a control response strategy partitioning unit;

[0036] The coupling data acquisition unit triggers the linkage compensation mechanism when the cold helium channel of the current high-pressure cold helium solenoid valve is classified as level L2 through preliminary comparison and evaluation;

[0037] The linkage compensation mechanism applies a secondary pre-excitation pulse to the solenoid valve based on the existing electromagnetic drive pulse module when the disturbance area is identified. At the same time, an API application program interface is set up to integrate the test system with the solenoid valve database. At the same time, an interactive sensor group is installed around the solenoid valve to collect thermal magnetic flow data in real time. The thermal magnetic flow data is dimensionlessly processed using the Z-score normalization method to obtain a standardized thermal magnetic flow data set.

[0038] The interactive sensor group includes a Hall sensor and a thermocouple;

[0039] The standardized thermal magnetic flux data set includes the temperature T at time t, the magnetic permeability u (T(t)), the cold helium isobaric specific heat CHe, and the cold helium flow rate change rate at time t. , magnetic induction intensity B(t) at time t and local temperature rise △T(t) at time t;

[0040] The magnetic permeability u (T(t)) at the temperature T at the time t is obtained by measuring the temperature T(t) of the thermocouple solenoid valve material at the time t during actual operation, and the temperature T(t) at the time t is compared with the BH curve group temperature variation table provided by the manufacturer in the solenoid valve database when selecting the material, and the magnetic permeability u at the temperature T(t) corresponding to the time t is extracted using the API application program interface;

[0041] The isobaric specific heat of cold helium CHe is obtained by extracting the heat required to absorb unit mass of cold helium at constant pressure from the solenoid valve database using an API application program interface;

[0042] The cold helium flow rate change rate at time t The velocity component V(x, r, t) of the valve body radial position r at the cold helium flow direction x at time t is obtained by numerical differentiation using a high-speed ADC;

[0043] The magnetic induction intensity B(t) at time t is acquired in real time by setting a Hall sensor at a channel position next to the magnetic core of the solenoid valve;

[0044] The local temperature rise ΔT(t) at time t is obtained by setting a thermocouple at the position of the solenoid valve core to collect the temperature T(t) at time t in real time, and extracting it based on the time integral of the temperature T(t) at time t.

[0045] Preferably, the coupling correction unit calculates the obtained standardized thermal magnetic flux data set in combination with the local disturbance spectrum energy density function Md to obtain a coupling compensation correction rate function Xz, which measures the response capability of the current electromagnetic drive capability to the hysteresis caused by cold helium disturbance and thermal effect.

[0046] Preferably, the control response strategy partitioning unit performs a correction evaluation based on the output result of the coupling compensation correction rate function Xz, and triggers the relevant control strategy based on the correction evaluation result to further perform dynamic adjustment. The specific evaluation content is as follows;

[0047] When the coupling compensation correction rate function Xz is less than 0.8, the first related control strategy is triggered. The first related control strategy increases the trigger current by 10% based on the current L2 level and cools down the activation in advance by 10ms.

[0048] When 0.8≤coupling compensation correction rate function Xz≤1.2, maintain the current L2 level control state;

[0049] When the coupling compensation correction rate function Xz>1.2, it means that the solenoid valve is overheated or the disturbance is extremely strong, which may cause the back pressure to be out of control. At this time, the second related control strategy is triggered. The second related control strategy reduces the trigger current by 10% based on the current L2 level and delays the triggering for 10ms to wait for the disturbance to dissipate.

[0050] Preferably, the comprehensive risk analysis module includes a comprehensive analysis unit and a comprehensive assessment unit;

[0051] The comprehensive analysis unit extracts the coupling compensation correction rate function Xz and the local disturbance spectrum energy density function Md after adjusting the relevant control strategy, performs correlation calculation and outputs the comprehensive risk index PRCI, which comprehensively measures the coupling of disturbance intensity and correction ability.

[0052] Preferably, the comprehensive evaluation unit collects multiple sets of time working data, observes the critical point of the comprehensive risk index PRCI when the solenoid valve deteriorates daily at different comprehensive risk index PRCI levels, sets a risk threshold Pth, and performs a secondary comparative evaluation of the risk threshold Pth with the comprehensive risk index PRCI obtained in real time to determine the correction and compensation status after the execution of the relevant control strategy. The specific evaluation content is as follows;

[0053] When the comprehensive risk index PRCI is greater than the risk threshold Pth, it indicates abnormal control and unstable solenoid valve response. At this time, the linkage compensation mechanism is iteratively executed based on the current relevant control structure until the control is successfully stopped.

[0054] When the comprehensive risk index PRCI ≤ risk threshold Pth, it indicates that the control is successful and the solenoid valve response is stable.

[0055] The present invention provides a test system for high-pressure cold helium solenoid valve performance testing, which has the following beneficial effects:

[0056] (1) This method sets multi-dimensional radial pressure difference sampling points in the cold helium channel of the solenoid valve, and combines high-frequency sampling MEMS pressure sensors with velocity inversion algorithms. The system can calculate the velocity vector field V(x,r,t) and its curl ▽×V(x,r,t) of the cold helium flow field in real time, and construct the local disturbance spectrum energy density function Md based on the disturbance weighting function N(x,r). This method not only breaks through the technical limitation of the existing technology of only monitoring the total flow rate of cold helium, but also realizes the real-time judgment of the disturbance level by constructing the disturbance interval threshold, providing a reliable basis for subsequent adjustment decisions, and effectively improving the test system's early perception of local flow abnormalities.

[0057] (2) This method triggers the dynamic compensation mechanism when the disturbance level reaches level L2, automatically calls the thermal magnetic flux acquisition unit to obtain a standardized thermal magnetic flux data set, and calculates the coupling compensation correction rate function Xz based on the above data. The coupling compensation correction rate function Xz dynamically measures whether the solenoid valve response capability meets the control requirements by integrating the magnetic driving force factor and the thermal disturbance factor, and triggers relevant control strategies such as "increasing pulse energy, cooling in advance, and delaying triggering." This module breaks the traditional static set value method and has the advantages of temperature change adaptability, strong disturbance robustness, and high response accuracy.

[0058] (3) This method further calculates the comprehensive risk index PRCI based on the local disturbance spectrum energy density function Md and the coupling compensation correction rate function Xz, enhances the risk identification capability through nonlinear mapping, and realizes closed-loop evaluation of the system disturbance trend by combining the time integration window τ. When the comprehensive risk index PRCI is greater than the risk threshold Pth, it automatically enters the iterative compensation state and executes the linkage compensation strategy; when the comprehensive risk index PRCI is less than or equal to Pth, it judges that the response is stable and maintains the current control strategy. This comprehensive risk analysis module connects the disturbance identification, drive correction, control strategy and performance evaluation links, and has the system-level guarantee capability of early identification and early intervention of performance degradation trends in long-term operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic diagram of the steps of a test system for high-pressure cold helium solenoid valve performance testing according to the present invention;

[0060] Figure 2 This is the spatial distribution diagram of the radial pressure difference sampling points in the cold helium channel. DETAILED DESCRIPTION

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0062] Example 1

[0063] The present invention provides a test system for high pressure cold helium solenoid valve performance test, please refer to Figure 1 and Figure 2 , including data acquisition module, data processing module, local disturbance analysis module, coupling correction module and comprehensive risk analysis module:

[0064] The data acquisition module collects cold helium pressure data in real time by setting sampling points in the cold helium channel and transmits the cold helium pressure data to the test system;

[0065] The data processing module obtains a standardized data set by preprocessing the cold helium pressure data in the test system;

[0066] The local disturbance analysis module calculates and outputs the local disturbance spectrum energy density function Md based on the standardized data set, sets the disturbance interval threshold and performs preliminary comparative evaluation with the local disturbance spectrum energy density function Md, and classifies the disturbance level.

[0067] The coupling correction module triggers the linkage compensation mechanism when the disturbance level is classified as L2. The linkage compensation mechanism calculates and outputs the coupling compensation correction rate function Xz based on the thermal magnetic flow data collected in the cold helium solenoid valve pipeline, and then corrects and evaluates the output of the coupling compensation correction rate function Xz to trigger the relevant control strategy.

[0068] The comprehensive risk analysis module outputs the comprehensive risk index PRCI by comprehensively calculating the coupling compensation correction rate function Xz and the local disturbance spectrum energy density function Md, and performs a secondary comparative evaluation with the preset risk threshold Pth and the comprehensive risk index PRCI to judge the coupling correction compensation situation.

[0069] In this embodiment, the system integrates a data acquisition module, a data processing module, a local disturbance analysis module, a coupling correction module, and a comprehensive risk analysis module to construct an intelligent closed-loop evaluation and control system suitable for high-pressure cold helium solenoid valve performance testing. The system first relies on multi-point radial pressure acquisition and MEMS pressure sensor sampling technology to accurately capture micro-disturbances in the cold helium flow field. Subsequently, the data processing module performs flow field velocity inversion and curl extraction, and after standardization, forms a unified feature dataset, laying a high-quality data foundation for subsequent analysis. Furthermore, the local disturbance analysis module constructs a local disturbance spectral energy density function Md to quantitatively assess the disturbance intensity and spatial distribution, and achieves dynamic graded response through disturbance level classification. When the disturbance reaches a high level, the coupling correction module is further activated, integrating multi-physics field information such as temperature, magnetic permeability, and magnetic induction intensity to output a coupling compensation correction rate function Xz, which evaluates the matching relationship between driving capability and flow field response, thereby triggering the optimal control strategy. On this basis, the system introduces a comprehensive risk index (PRCI) as a coupled criterion for perturbation and correction effects, enabling secondary closed-loop optimization of risk situation trends and control strategies. Compared to existing technical approaches that rely solely on single indicators such as total pressure difference and response time, this system introduces innovative mechanisms such as spatial perturbation structure quantification, nonlinear thermal magnetic flow feedback, and dynamic matching of response corrections. This significantly improves the dynamic perception, robust control, and stable operation of the solenoid valve in complex low-temperature, high-pressure cold helium environments, providing a theoretical and experimental foundation for the subsequent design of high-reliability electromagnetic actuators for extreme working conditions.

[0070] Example 2

[0071] See also Figure 1 and Figure 2 ,Specifically: the data acquisition module includes a pressure signal acquisition unit and a data transmission unit;

[0072] The pressure signal acquisition unit sets radial pressure differential sampling points in the solenoid valve channel, and sets the radial pressure differential sampling points along the cold helium flow direction to x, that is, the channel axial direction, and along the valve body radial direction to r, that is, the distance from the central axis. The radial pressure differential sampling points include 3 radial layers and 2 longitudinal sections.

[0073] The radial pressure difference sampling points specifically include C1 (x1, r1) sampling point, C2 (x1, r2) sampling point, C3 (x1, r3) sampling point, C4 (x2, r1) sampling point, C5 (x2, r2) sampling point and C6 (x2, r3) sampling point;

[0074] Among them, the sampling point C1 (x1, r1) is located at the mid-diameter of the upstream inlet to monitor the initial disturbance;

[0075] The sampling point C2 (x1, r2) is located near the wall of the upstream inlet to monitor the near-wall shear flow;

[0076] The sampling point C3 (x1, r3) is located on the far wall of the upstream inlet, monitoring the backflow induction area;

[0077] The sampling point C4 (x2, r1) is located at the downstream throttling center to monitor the structural changes of the mainstream channel;

[0078] The sampling point C5 (x2, r2) is located near the downstream throttling wall to monitor the formation of diffusion pressure;

[0079] The sampling point C6 (x2, r3) is located at the far wall of the downstream throttle to detect the detached vortex;

[0080] At the same time, a MEMS pressure sensor is set in each sampling point, and the sampling period is set to 0.2ms to output the cold helium pressure data in real time. The cold helium pressure data includes the electrical signal V at time t of each sampling point. P (t);

[0081] The data transmission unit uses the communication module of the MEMS pressure sensor to set up a linear interface to connect directly to the test system, and transmits the real-time collected cold helium pressure data to the test system.

[0082] In this embodiment, the system sets up a structured multi-dimensional pressure difference sampling point array, which is set as x along the cold helium flow direction in the cold helium solenoid valve channel and as r along the valve body radial direction. It scientifically arranges six key monitoring points C1-C6, effectively covering the typical flow disturbance area from the inlet to the throttling section and from the center to the side wall, and realizes high-precision capture of key dynamic phenomena such as initial disturbance, shear flow, recirculation area, expansion pressure and detachment vortex. At the same time, by integrating a high-sensitivity MEMS pressure sensor at each sampling point and continuously acquiring signals at a high sampling frequency of 0.2ms, a pressure dynamic response data stream with extremely high time resolution is formed, ensuring that the system can identify microsecond-level disturbance characteristics. The data transmission unit is directly connected to the system main control platform with the help of the communication module provided by the MEMS sensor, establishing a low-latency, high-bandwidth real-time data link, which significantly improves the system response speed and analysis accuracy. Compared with traditional solenoid valve performance tests that only use single-point total pressure monitoring or low-frequency sampling methods, this module has achieved a qualitative leap in spatial layout, frequency response, signal quality and data integrity, greatly enhancing the test system's ability to accurately analyze and early identify complex low-temperature disturbance flow fields, laying a solid foundation for subsequent disturbance modeling, vortex identification and response optimization.

[0083] Example 3

[0084] See also Figure 1,Specifically: the data processing module includes a feature extraction unit and a ,preprocessing unit;

[0085] The feature extraction unit converts the electrical signal VP(t) of each sampling point at time t into the instantaneous pressure P at the valve body radial position r in the cold helium flow direction position x of the i-th sampling point at time t by using the calibration curve. i (x, r, t), calculate the difference between the instantaneous pressure P of the two radial sampling points, and obtain the instantaneous pressure difference △P of the valve body radial position r at the i-th sampling point in the cold helium flow direction at time t i (x, r, t);

[0086] The velocity vector is inverted using the Bernoulli relation. The velocity value of each sampling point is assembled into the velocity component V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t. The velocity component V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t is spatially differentiated to obtain the curl ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t.

[0087] The preprocessing unit performs dimensionless processing on the obtained rotation ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t using the Z-score normalization method, thereby eliminating the unit dimension effect of the rotation ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t.

[0088] In this embodiment, the system integrates a feature extraction unit and a pre-processing unit to build a high-fidelity mapping process from the original electrical signal to the dynamic flow field structure. First, the feature extraction unit uses the electrical signal VP(t) as the basis and uses a pre-calibrated calibration curve to realize the instantaneous pressure P of the multi-dimensional measuring point. i Accurate inversion of (x, r, t) and further calculation of instantaneous pressure difference △P i(x, r, t), enhancing sensitivity to perturbation pressure gradient changes. Subsequently, the velocity vector is inverted based on Bernoulli's principle to complete the spatiotemporal reconstruction of the flow velocity field V(x, r, t). A spatial difference method is used to obtain key curl information ▽×V(x, r, t), enabling analytical quantification of the vortex scale and intensity of the flow disturbance. Secondly, the preprocessing unit performs Z-score normalization on the curl data to eliminate the influence of physical dimensions on the different sampling points, ensuring the uniformity, comparability, and stability of the data input to the subsequent analysis modules. Compared to traditional testing methods that only use mean pressure difference and instantaneous flow velocity as performance evaluation indicators, this module achieves hierarchical decoupling and physical restoration from electrical signals to flow field vorticity, significantly improving the structural integrity and physical credibility of the data. This provides precise dynamic foundational features for subsequent disturbance identification and compensation strategy formulation, thereby promoting the technical upgrade of performance testing from "quantity monitoring" to "disturbance mechanism understanding."

[0089] Example 4

[0090] See also Figure 1 ,Specifically: the local disturbance analysis module includes a disturbance spectral density calculation unit and a ,disturbance evaluation unit;

[0091] The disturbance spectrum density calculation unit calculates the weighted integral of the square of the curl ▽×V(x, r, t) at the valve body radial position r in the cold helium flow direction at time t, and outputs the local disturbance spectrum energy density function Md to measure the vortex structure complexity of all disturbance energy inside the cold helium flow field.

[0092] The local disturbance spectrum energy density function Md is calculated and output by the following algorithm formula;

[0093] ;

[0094] Where Md(t) represents the local disturbance spectrum energy density function at time t, Represents the disturbance weighting function of the valve body radial position r at the cold helium flow direction x position. The specific value is set by the user and is dimensionless. It is used to define the sensitivity of the acquisition area. represents the integral area, i.e., the area of ​​all set measurement sections, defined as [x1, x2] × [r1, r3], i.e., the cold helium channel section from the inlet to the throttle outlet, dx represents the integral function of the x position in the cold helium flow direction, and dr represents the integral function of the r position in the radial direction of the valve body;

[0095] The physical significance of the formula lies in the fact that in high-speed cold helium flow channels, especially in bends, throttling, or diffuser structures, the fluid may form local vortex structures due to velocity shear, boundary layer separation, and other reasons. Such disturbances may lead to: local backflow, which increases flow resistance; cold helium velocity fluctuations, which trigger hysteresis; and valve core impact, which leads to unstable response. Therefore, the local disturbance spectrum energy density function Md is used to determine the disturbance intensity and spatial distribution of the flow field at the current moment.

[0096] The disturbance assessment unit is based on the local disturbance spectrum energy density function Md under multiple actual operating conditions. It also records the response delay, oscillation amplitude, and failure behavior of the solenoid valve. It finds the local disturbance spectrum energy density function Md threshold corresponding to each behavior and constructs the disturbance interval threshold (as shown in Table 1). The disturbance interval threshold includes the first disturbance threshold F1, the second disturbance threshold F2, and the third disturbance threshold F3.

[0097] The local disturbance spectrum energy density function Md obtained in real time is preliminarily compared and evaluated with the disturbance interval threshold to determine the current cold helium disturbance situation. Based on the preliminary comparison and evaluation results, the disturbance level is classified. The specific evaluation contents are as follows;

[0098] When the local disturbance spectrum energy density function Md is less than the first disturbance threshold F1, it is classified as level L0 and continues to operate without intervention;

[0099] When the first disturbance threshold F1 ≤ local disturbance spectrum energy density function Md < second disturbance threshold F2, it is divided into L1 level. At this time, the trigger current of the high-pressure cold helium solenoid valve is increased by 5%. The weak disturbance may weaken the magnetic flux response, slightly improve the magnetic energy, and increase the energy input time by 2ms. Increasing the energy input time ensures that the response is not interrupted by the disturbance. At the same time, the cooling module is started 5ms in advance to activate the liquid helium pre-injection in advance. The boundary disturbance may increase the temperature, and starting the cooling first reduces the failure of the thermal sensitive magnet.

[0100] When the second disturbance threshold F2 ≤ local disturbance spectrum energy density function Md < third disturbance threshold F3, it is classified as level L2. At this time, the trigger current of the high-pressure cold helium solenoid valve is increased by 10%, the energy input time is increased by 5ms, and the cooling module is started 15ms in advance to activate the liquid helium pre-injection in advance, and the linkage compensation mechanism is triggered;

[0101] When the local disturbance spectrum energy density function Md ≥ the third disturbance threshold F3, it is classified as level L3. At this time, the high-pressure cold helium solenoid valve current is prohibited from being triggered. A preliminary comparative evaluation is performed again after a delay of 20ms. If the L3 level state is triggered for more than or equal to three consecutive cycles, an alarm is triggered to alert the operation and maintenance personnel, and the current high-pressure cold helium solenoid valve frequency is automatically reduced to the minimum.

[0102] Table 1: Schematic table of actual engineering values

[0103]

[0104] In this embodiment, the system effectively constructs a multi-scale quantification mechanism for the disturbance behavior of the cold helium flow field through the coordinated cooperation of the disturbance spectrum density calculation unit and the disturbance evaluation unit. First, by performing a square-weighted integration of the curl ▽×V(x,r,t), a local disturbance spectrum energy density function Md is formed, which not only realizes the dynamic tracking of the complexity of the vortex structure inside the cold helium flow field, but also has the time-space sensitive response capability to the key disturbance area. Subsequently, the disturbance evaluation unit combines historical operating data with actual behavior feedback, such as delay, oscillation, and failure to construct a disturbance interval threshold system for judgment, and accurately guides the dynamic adjustment of the control strategy. Unlike traditional methods that rely on fuzzy judgments of average flow velocity or total pressure indicators, this module uses the disturbance energy density function Md as the core quantitative indicator, breaking the limitations of single-point static measurement and realizing multi-point, multi-scale, dynamic disturbance identification. Furthermore, the system's built-in hierarchical response strategy enables feedforward adjustment capabilities within the control process. These include L1-level active magnetic energy response enhancement, L2-level linkage pre-cooling mechanisms, and L3-level delayed protection and early warning strategies. These strategies effectively reduce the risks of hysteresis, response failure, and loss of control caused by disturbance surges. This module significantly enhances the sensitivity, accuracy, and stability control capabilities of the cold helium solenoid valve performance test system, driving the system's evolution from passive fault tolerance to active intervention.

[0105] Example 5

[0106] See also Figure 1 ,Specifically: the coupling correction module includes a coupling data acquisition unit, a coupling correction ,unit and a control response strategy partitioning unit;

[0107] The coupled data acquisition unit, through preliminary comparative evaluation, classifies the cold helium channel of the current high-pressure cold helium solenoid valve as level L2, and triggers the linkage compensation mechanism at this time;

[0108] The linkage compensation mechanism applies a secondary pre-excitation pulse to the solenoid valve based on the existing electromagnetic drive pulse module when the disturbance area is identified. At the same time, an API application program interface is set up to integrate the test system with the solenoid valve database. At the same time, an interactive sensor group is installed around the solenoid valve to collect thermal and magnetic flow data in real time. The thermal and magnetic flow data are dimensionlessly processed using the Z-score normalization method to obtain a standardized thermal and magnetic flow data set.

[0109] The interactive sensor set includes Hall sensors and thermocouples;

[0110] The standardized thermal magnetic flux data set includes the temperature T at time t, the magnetic permeability u (T(t)), the isobaric specific heat of cold helium CHe, and the cold helium flow rate change rate at time t , magnetic induction intensity B(t) at time t and local temperature rise △T(t) at time t;

[0111] The magnetic permeability u (T(t)) at the temperature T at time t is obtained by measuring the temperature T(t) of the thermocouple solenoid valve material at time t during actual operation. The temperature T(t) at time t is compared with the BH curve group with temperature variation table provided by the manufacturer when selecting the material in the solenoid valve database. The magnetic permeability u at the temperature T(t) at time t is extracted using the API application program interface.

[0112] The isobaric specific heat of cold helium CHe is obtained by extracting the heat required to absorb unit mass of cold helium at constant pressure from the solenoid valve database using the API application program interface;

[0113] The change rate of cold helium flow rate at time t The velocity component V(x, r, t) of the valve body radial position r at the cold helium flow direction x at time t is obtained by numerical differentiation using a high-speed ADC;

[0114] The magnetic induction intensity B(t) at time t is acquired in real time by setting a Hall sensor at the channel position next to the magnetic core of the solenoid valve;

[0115] The local temperature rise ΔT(t) at time t is obtained by setting a thermocouple at the position of the solenoid valve core to collect the temperature T(t) at time t in real time, and is extracted based on the time integral of the temperature T(t) at time t.

[0116] The coupling correction unit combines the obtained standardized thermal magnetic flux data set with the local disturbance spectrum energy density function Md to obtain the coupling compensation correction rate function Xz, which measures the response of the current electromagnetic drive capability to the hysteresis caused by cold helium disturbance and thermal effect.

[0117] The coupling compensation correction rate function Xz is calculated and outputted by the following algorithm formula;

[0118] ;

[0119] Where Xz(t) represents the coupling compensation correction rate function at time t, u(T(t)) represents time t, and k represents the weight coefficient of the magnetic flow driving effect. Represents the weight coefficient of the local disturbance spectrum energy density function Md, where k and The specific value of is set by the user, and k+ =1;

[0120] It represents the magnetic flow driving effect. The larger the magnetic permeability u (T(t)) at the temperature T at time t, the better the magnetic core conductivity and the stronger the driving force. The magnetic induction intensity B(t) at time t represents the electromagnetic energy density, which is directly related to the coil energy. The cold helium flow rate change rate at time t The faster the change, the stronger the cold helium shock, and the faster the response is needed to suppress the disturbance. This item reflects the current response capability or controllability;

[0121] Represents the thermal disturbance resistance factor, which is the response hysteresis factor. represents the delayed effect of heat buildup on control response, Indicates the negative effect of disturbance intensity on instability;

[0122] The overall formula is a response correction ratio, which is used to dynamically adjust the triggering strategy, such as whether to strengthen the magnetic pulse, whether to cool in advance, or whether to delay the triggering.

[0123] The control response strategy partition unit performs correction evaluation based on the output of the coupling compensation correction rate function Xz, and triggers the relevant control strategy based on the correction evaluation result to further perform dynamic adjustment. The specific evaluation content is as follows;

[0124] When the coupling compensation correction rate function Xz is less than 0.8, it means that the electromagnetic driving force is insufficient and the pulse energy should be increased. At this time, the first related control strategy is triggered. The first related control strategy increases the trigger current by 10% again based on the current L2 level and cools down the activation in advance by 10ms.

[0125] When 0.8≤coupling compensation correction rate function Xz≤1.2, it indicates that the system is currently in the optimal control range and no adjustment is required. The system enters the monitoring state to record the disturbance trend. At this time, the relevant control strategy is not triggered and the current L2 control state is maintained.

[0126] When the coupling compensation correction rate function Xz>1.2, it means that the solenoid valve is overheated or the disturbance is extremely strong, which may cause the back pressure to be out of control. At this time, the second related control strategy is triggered. The second related control strategy reduces the trigger current by 10% based on the current L2 level and delays the triggering for 10ms to wait for the disturbance to dissipate.

[0127] In this embodiment, the system achieves intelligent adjustment and precise control of the responsiveness of the high-pressure cold helium solenoid valve in complex disturbance environments by introducing a dynamic compensation mechanism that integrates multiple physical fields. First, when the system identifies an L2 disturbance state during local disturbance analysis, the module automatically triggers a linkage compensation mechanism. Relying on the electromagnetic drive pulse system and the database integration interface, Hall sensors and thermocouples deployed around the solenoid valve enable high-frequency synchronous acquisition of key thermal magnetic flow parameters such as magnetic field, temperature rise, and flow rate changes, and form a highly comparable data set through Z-score standardization. Subsequently, the coupled correction unit fuses the standardized thermal magnetic flow data set with the local disturbance spectrum energy density function Md to construct a coupled compensation correction rate function Xz, which accurately measures the current electromagnetic drive system's responsiveness to disturbances and its degree of limitation. Based on the dynamic evaluation results of the Xz value, the control response strategy partitioning unit divides the state range into three state ranges and provides differentiated control logic for each state, constructing a feedback loop with adaptive adjustment capabilities. Compared to traditional "passive control" approaches based solely on average delay or overheating threshold settings, this module achieves precise identification of disturbance sources and coordinated control through multi-factor intervention, significantly improving system stability and reliability under severe disturbances. It also promotes a paradigm shift in solenoid valve control from "single-parameter conservation" to "multi-parameter coordination and autonomous regulation" in high-pressure, low-temperature environments. Its beneficial effects include improved control accuracy, better energy consumption, reduced response hysteresis, and a significantly reduced probability of false triggering, providing key support for the intelligent adaptation of electromagnetic actuators under complex operating conditions.

[0128] Example 6

[0129] See also Figure 1 ,Specifically: the comprehensive risk analysis module includes a comprehensive ,analysis unit and a comprehensive assessment unit;

[0130] After adjusting the relevant control strategies, the comprehensive analysis unit extracts the coupling compensation correction rate function Xz and the local disturbance spectrum energy density function Md, performs correlation calculations and outputs the comprehensive risk index PRCI, which comprehensively measures the coupling between disturbance intensity and correction capability.

[0131] The comprehensive risk index PRCI is calculated and output by the following algorithm formula;

[0132] ;

[0133] Where t0 represents the starting time of the current time window, represents the evaluation time window width, log represents the logarithmic function, and dt represents the time calculus;

[0134] Indicates how much disturbance there is, Can the representative control it? It represents nonlinear mapping, which amplifies responses greater than 1 and attenuates weak responses;

[0135] The combined risk score reflects the perturbation energy multiplied by the coupling-corrected risk.

[0136] The comprehensive assessment unit collects multiple sets of time-based working data and observes the critical point of the comprehensive risk index PRCI when the solenoid valve deteriorates daily at different comprehensive risk index PRCI levels. It then sets the risk threshold Pth and performs a secondary comparative assessment of the risk threshold Pth with the comprehensive risk index PRCI obtained in real time to determine the correction and compensation status after the relevant control strategy is executed. The specific assessment contents are as follows;

[0137] When the comprehensive risk index PRCI is greater than the risk threshold Pth, it indicates abnormal control and unstable solenoid valve response. At this time, the linkage compensation mechanism is iteratively executed based on the current relevant control structure until the control is successfully stopped.

[0138] When the comprehensive risk index PRCI ≤ risk threshold Pth, it indicates that the control is successful and the solenoid valve response is stable.

[0139] In this embodiment, the system achieves dynamic closed-loop risk quantification and refined stability assessment of the operating state of a high-pressure cold helium solenoid valve by constructing a dual-variable coupled assessment system based on "disturbance intensity and responsiveness." The comprehensive analysis unit calculates a comprehensive risk index (PRCI) based on the combined characteristics of the disturbance spectrum energy density function Md and the coupling compensation correction rate function Xz. This index incorporates a nonlinear logarithmic mapping mechanism that automatically amplifies the risk response when the response is excessive or insufficient, enhancing the system's ability to sensitively identify out-of-control trends. The comprehensive assessment unit analyzes a large amount of historical operating data to construct a risk threshold, Pth, and compares it with the real-time PRCI. This allows for real-time determination of whether the current control strategy is achieving its intended goal. Upon detecting a control anomaly, the system immediately and iteratively activates the linkage compensation mechanism, continuously correcting the error until the response stabilizes. Compared to traditional static alarm-based monitoring methods based on a single indicator, this module achieves quantitative modeling and response-driven feedback for coupling risk trends in dynamic processes, breaking the limitations of "hysteresis control" and advancing the test system towards intelligent prediction, a priori response, and real-time self-adjustment. This module significantly enhances the system's resilience and stable recovery capabilities to complex disturbance environments, greatly reduces the frequency of risk events such as response failure, overheating runaway, and false triggering, and ultimately realizes the intelligent, refined, and safe operation and management of the high-pressure cold helium solenoid valve performance test system.

[0140] While embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations may 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. A test system for high-pressure cold helium solenoid valve performance testing, characterized by: It includes data acquisition module, data processing module, local disturbance analysis module, coupling correction module and comprehensive risk analysis module: The data acquisition module collects cold helium pressure data in real time by setting sampling points in the cold helium channel and transmits the cold helium pressure data to the test system; The data processing module obtains a standardized data set by preprocessing the cold helium pressure data in the test system; The local disturbance analysis module calculates and outputs the local disturbance spectrum energy density function Md based on the standardized data set, sets the disturbance interval threshold and performs preliminary comparative evaluation with the local disturbance spectrum energy density function Md, and performs disturbance level classification; The coupling correction module triggers the linkage compensation mechanism when the disturbance level is classified as level L2. The linkage compensation mechanism calculates and outputs the coupling compensation correction rate function Xz based on the thermal magnetic flow data collected in the cold helium solenoid valve pipeline, and corrects and evaluates the output result of the coupling compensation correction rate function Xz to trigger the relevant control strategy; The coupling correction and revision module includes a coupling data acquisition unit, a coupling correction and revision unit, and a control response strategy partitioning unit; The coupling data acquisition unit triggers the linkage compensation mechanism when the cold helium channel of the current high-pressure cold helium solenoid valve is classified as level L2 through preliminary comparison and evaluation; The linkage compensation mechanism applies a secondary pre-excitation pulse to the solenoid valve based on the existing electromagnetic drive pulse module when the disturbance area is identified. At the same time, an API application program interface is set up to integrate the test system with the solenoid valve database. At the same time, an interactive sensor group is installed around the solenoid valve to collect thermal magnetic flow data in real time. The thermal magnetic flow data is dimensionlessly processed using the Z-score normalization method to obtain a standardized thermal magnetic flow data set. The interactive sensor group includes a Hall sensor and a thermocouple; The standardized thermal magnetic flux data set includes the temperature T at time t, the magnetic permeability u (T(t)), the cold helium isobaric specific heat CHe, and the cold helium flow rate change rate at time t. , magnetic induction intensity B(t) at time t and local temperature rise △T(t) at time t; The magnetic permeability u (T(t)) at the temperature T at the time t is obtained by measuring the temperature T(t) of the thermocouple solenoid valve material at the time t during actual operation, and the temperature T(t) at the time t is compared with the BH curve group temperature variation table provided by the manufacturer in the solenoid valve database when selecting the material, and the magnetic permeability u at the temperature T(t) corresponding to the time t is extracted using the API application program interface; The isobaric specific heat of cold helium CHe is obtained by extracting the heat required to absorb unit mass of cold helium at constant pressure from the solenoid valve database using an API application program interface; The cold helium flow rate change rate at time t The velocity component V(x, r, t) of the valve body radial position r at the cold helium flow direction x at time t is obtained by numerical differentiation using a high-speed ADC; The magnetic induction intensity B(t) at time t is acquired in real time by setting a Hall sensor at a channel position next to the magnetic core of the solenoid valve; The local temperature rise ΔT(t) at time t is obtained by setting a thermocouple at the position of the solenoid valve core to collect the temperature T(t) at time t in real time, and extracting it based on the time integral of the temperature T(t) at time t; The comprehensive risk analysis module outputs a comprehensive risk index PRCI by comprehensively calculating the coupling compensation correction rate function Xz and the local disturbance spectrum energy density function Md, and performs a secondary comparative evaluation between the preset risk threshold Pth and the comprehensive risk index PRCI to judge the coupling correction compensation situation.

2. A test system for high-pressure cold helium solenoid valve performance testing according to claim 1, characterized in that: The data acquisition module includes a pressure signal acquisition unit and a data transmission unit; The pressure signal acquisition unit is configured by setting radial pressure differential sampling points in the solenoid valve channel, and setting the radial pressure differential sampling points to x along the cold helium flow direction and r along the valve body radial direction. The radial pressure differential sampling points include three radial layers and two longitudinal sections. The radial pressure difference sampling points specifically include C1 (x1, r1) sampling point, C2 (x1, r2) sampling point, C3 (x1, r3) sampling point, C4 (x2, r1) sampling point, C5 (x2, r2) sampling point and C6 (x2, r3); Among them, the sampling point C1 (x1, r1) is located at the mid-diameter of the upstream inlet; The sampling point C2 (x1, r2) is located near the wall of the upstream inlet; The sampling point C3 (x1, r3) is located on the far wall of the upstream inlet; The location of sampling point C4 (x2, r1) is the downstream throttling center; The sampling point C5 (x2, r2) is located near the downstream throttling wall; The sampling point C6 (x2, r3) is located at the far wall of the downstream throttle; At the same time, a MEMS pressure sensor is set in each sampling point, and the sampling period is set to 0.2ms to output the cold helium pressure data in real time. The cold helium pressure data includes the electrical signal V at time t of each sampling point. P (t); The data transmission unit is directly connected to the test system by setting a linear interface through the communication module of the MEMS pressure sensor, and transmits the cold helium pressure data collected in real time to the test system.

3. The test system for high-pressure cold helium solenoid valve performance testing according to claim 2, characterized in that: The data processing module includes a feature extraction unit and a preprocessing unit; The feature extraction unit converts the electrical signal VP(t) of each sampling point at time t into the instantaneous pressure P at the valve body radial position r in the cold helium flow direction position x of the i-th sampling point at time t by using the calibration curve. i (x, r, t), calculate the difference between the instantaneous pressure P of the two radial sampling points, and obtain the instantaneous pressure difference △P of the valve body radial position r at the i-th sampling point in the cold helium flow direction at time t i (x, r, t); The velocity vector is inverted using the Bernoulli relation. The velocity value of each sampling point is assembled into the velocity component V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t. The velocity component V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t is spatially differentiated to obtain the curl ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t. The preprocessing unit performs dimensionless processing on the obtained rotation ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t using a Z-score normalization method, thereby eliminating the unit dimension effect of the rotation ▽×V(x, r, t) at the radial position r of the valve body in the direction of cold helium flow at time t.

4. The test system for high-pressure cold helium solenoid valve performance testing according to claim 3, characterized in that: The local disturbance analysis module includes a disturbance spectrum density calculation unit and a disturbance evaluation unit; The disturbance spectrum density calculation unit calculates the weighted integral of the square of the curl ▽×V(x, r, t) at the valve body radial position r in the cold helium flow direction at time t, and outputs a local disturbance spectrum energy density function Md to measure the vortex structure complexity of all disturbance energy inside the cold helium flow field.

5. The test system for high-pressure cold helium solenoid valve performance testing according to claim 4, characterized in that: The disturbance assessment unit simultaneously records the response delay, oscillation amplitude, and failure behavior of the solenoid valve based on the local disturbance spectrum energy density function Md under multiple actual operating conditions, finds the local disturbance spectrum energy density function Md threshold corresponding to each behavior, and constructs the disturbance interval threshold. The disturbance interval threshold includes a first disturbance threshold F1, a second disturbance threshold F2, and a third disturbance threshold F3; The local disturbance spectrum energy density function Md obtained in real time is preliminarily compared and evaluated with the disturbance interval threshold to determine the current cold helium disturbance situation. Based on the preliminary comparison and evaluation results, the disturbance level is classified. The specific evaluation contents are as follows; When the local disturbance spectrum energy density function Md is less than the first disturbance threshold F1, it is classified as level L0 and continues to operate without intervention; When the first disturbance threshold F1 ≤ local disturbance spectrum energy density function Md < second disturbance threshold F2, it is classified as level L1. At this time, the trigger current of the high-pressure cold helium solenoid valve is increased by 5%, the energy input time is increased by 2ms, and the cooling module is started 5ms in advance to activate the liquid helium pre-injection in advance; When the second disturbance threshold F2 ≤ local disturbance spectrum energy density function Md < third disturbance threshold F3, it is classified as level L2. At this time, the trigger current of the high-pressure cold helium solenoid valve is increased by 10%, the energy input time is increased by 5ms, and the cooling module is started 15ms in advance to activate the liquid helium pre-injection in advance, and the linkage compensation mechanism is triggered; When the local disturbance spectrum energy density function Md ≥ the third disturbance threshold F3, it is classified as level L3. At this time, the high-pressure cold helium solenoid valve current is prohibited from being triggered. A delay of 20ms is required to re-execute the preliminary comparative evaluation. If the L3 level state is continuously greater than or equal to 3 trigger cycles, an alarm is triggered to alert the operation and maintenance personnel, and the current high-pressure cold helium solenoid valve frequency is automatically reduced to the minimum.

6. The test system for high-pressure cold helium solenoid valve performance testing according to claim 1, characterized in that: The coupling correction unit calculates the obtained standardized thermal magnetic flux data set and the local disturbance spectrum energy density function Md to obtain the coupling compensation correction rate function Xz, which measures the response ability of the current electromagnetic drive capability to the hysteresis caused by cold helium disturbance and thermal effect.

7. The test system for high-pressure cold helium solenoid valve performance testing according to claim 6, characterized in that: The control response strategy partition unit performs a correction evaluation based on the output result of the coupling compensation correction rate function Xz, and triggers the relevant control strategy based on the correction evaluation result to further perform dynamic adjustment. The specific evaluation content is as follows; When the coupling compensation correction rate function Xz is less than 0.8, the first related control strategy is triggered. The first related control strategy increases the trigger current by 10% based on the current L2 level and cools down the activation in advance by 10ms. When 0.8≤coupling compensation correction rate function Xz≤1.2, maintain the current L2 level control state; When the coupling compensation correction rate function Xz>1.2, it means that the solenoid valve is overheated or the disturbance is extremely strong, which may cause the back pressure to be out of control. At this time, the second related control strategy is triggered. The second related control strategy reduces the trigger current by 10% based on the current L2 level and delays the triggering for 10ms to wait for the disturbance to dissipate.

8. The test system for high-pressure cold helium solenoid valve performance testing according to claim 7, characterized in that: The comprehensive risk analysis module includes a comprehensive analysis unit and a comprehensive assessment unit; The comprehensive analysis unit extracts the coupling compensation correction rate function Xz and the local disturbance spectrum energy density function Md after adjusting the relevant control strategy, performs correlation calculation and outputs the comprehensive risk index PRCI, which comprehensively measures the coupling of disturbance intensity and correction ability.

9. The test system for high-pressure cold helium solenoid valve performance testing according to claim 8, characterized in that: The comprehensive evaluation unit collects multiple sets of time working data, observes the critical point of the comprehensive risk index PRCI when the solenoid valve deteriorates daily at different comprehensive risk index PRCI levels, sets a risk threshold Pth, and performs a secondary comparative evaluation of the risk threshold Pth with the comprehensive risk index PRCI obtained in real time to determine the correction and compensation status after the execution of the relevant control strategy. The specific evaluation content is as follows; When the comprehensive risk index PRCI is greater than the risk threshold Pth, it indicates abnormal control and unstable solenoid valve response. At this time, the linkage compensation mechanism is iteratively executed based on the current relevant control structure until the control is successfully stopped. When the comprehensive risk index PRCI ≤ risk threshold Pth, it indicates that the control is successful and the solenoid valve response is stable.

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