Hydrogenation machine hose detection method, equipment and medium

Abstract

The invention discloses a hydrogenation machine hose detection method, equipment and a medium, relates to the technical field of hydrogenation machine hose detection, and solves the technical problem that in the prior art, external use interference analysis cannot be performed on a hose due to random stress difference caused by dynamic factors such as vehicle height and operation intensity in each hydrogenation operation. Specifically, according to the detection method, an omnibearing monitoring system is constructed from three dimensions of external dynamic interference, an internal leakage state and a vibration process, quantitative evaluation of hose damage and accurate positioning and early warning of abnormity are achieved through multi-sensor fusion and numerical simulation analysis, cost waste caused by excessive maintenance is avoided, and the detection efficiency is improved. The potential safety hazard of insufficient maintenance is avoided, the automation and intelligence level of detection is improved, and the operation safety and economical efficiency of the hose of the hydrogenation machine are guaranteed.

Description

Technical Field

[0001] This invention relates to the field of hydrogen refueling machine hose testing technology, specifically to a hydrogen refueling machine hose testing method, equipment, and medium. Background Technology

[0002] In current hydrogen refueling stations, the hydrogen refueling hose is a key component for high-pressure medium transportation, and its operational safety directly affects the operation of the hydrogen refueling station.

[0003] Traditional hose inspection relies on replacing hoses at fixed usage times or after a certain number of hydrogen refueling cycles. This approach fails to consider the random stress differences caused by dynamic factors such as vehicle height and operational intensity during each hydrogen refueling operation, making it impossible to analyze external usage interference on the hoses. Furthermore, existing inspection methods for monitoring hose leaks largely rely on manual inspections or single sensors, resulting in delayed responses. There is also a lack of systematic analysis of abnormal hose vibrations caused by changes in hydrogen flow rate, making it difficult to provide early warnings of the risk of loosening at fixed points.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by providing a method, equipment and medium for testing hydrogen refueling machine hoses.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A method for testing a hydrogen refueling machine hose, comprising the following steps:

[0008] Step 1: External Interference Analysis

[0009] During the operation of the hydrogen refueling hose, an analysis of external interference was conducted on the hydrogen refueling hose when vehicles at different altitudes were refueling.

[0010] Step 2: Internal Operation Monitoring

[0011] During the operation of the hydrogen refueling hose, when there is no external interference during real-time hydrogen refueling, the internal operation of the hydrogen refueling hose is monitored to ensure that there is no leakage in the hose;

[0012] Step 3: Vibration process monitoring:

[0013] The vibration of the hose is monitored during the operation of the hydrogen dispenser as the hydrogen flow rate changes.

[0014] Furthermore, the external interference analysis process in step one is as follows:

[0015] The start signal of each hydrogenation process is used as the start signal, and the end signal is used as the stop signal; the center wavelength drift of all FBG sensors is collected, and the center wavelength drift is proportional to the strain on the hose surface, thereby obtaining the strain data of the hose at different positions and over time; specifically, the stress values ​​in each direction.

[0016] Simultaneously collect pressure change curves and corresponding hydrogen flow rate change curves within the hydrogenation pipeline;

[0017] A unique data packet is generated for each hydrogenation operation, containing all the aforementioned time-series data, their timestamps, and the amount of hydrogen added.

[0018] Furthermore, a parametric finite element analysis model is established based on the current hydrogen refueling machine hose model; the pressure change curve and the corresponding hydrogen refueling flow rate change curve collected each time are used as fluid loads, and the strain data are used as boundary conditions or verification data for some nodes to drive the FEA model to perform transient dynamic analysis; the model calculates the dynamic stress distribution cloud map of the hose at each moment in the entire hydrogen refueling process; based on the dynamic stress distribution cloud map analysis, risk point identification criteria are set, that is, the strain data of each direction corresponding to the point is set as a red line value;

[0019] During the operation of the hydrogen refueling unit, the stress distribution and stress distribution changes at each moment are obtained from the dynamic stress distribution cloud map. When a single moment is the main detection subject, the stress value after the stress increases in any direction corresponding to the dynamic stress distribution cloud map is collected, and the value exceeding the red line at a single moment is obtained according to the risk point identification standard. At the same time, the stress in the same direction corresponding to the historical moment at the current moment is collected, and the instantaneous span of stress change is obtained based on the stress value in the direction at the current moment.

[0020] Exceeding the red line value at a single moment and the instantaneous span of stress change are marked as static disturbances;

[0021] When multiple moments are the main detection subjects, the runtime segment constructed at each moment is determined, and the fluctuation trend of stress data in each direction is obtained as the runtime increases in the dynamic stress distribution cloud map within the runtime segment;

[0022] The increasing trend and the stable trend are obtained based on the fluctuation trend of the stress values; the stable trend is represented by a non-increasing trend.

[0023] The data collection process includes the span of increase in duration of the increasing trend as running time increases during the data collection and operation phase, as well as the span of decrease in frequency of stable trends as running time increases; and the span of increase in duration and the span of decrease in frequency are marked as dynamic interference characteristics.

[0024] Furthermore, the characteristics of static and dynamic disturbances are represented in the parametric finite element analysis model and in the geometric position of the corresponding hose in the model, and the floating direction of stress data is attached.

[0025] During the hydrogenation process, the distribution of structural locations exhibiting disturbance characteristics within the parameterized finite element analysis model of the hose is obtained, and the distribution density of the structural locations and the stress data fluctuation orientation of the corresponding structural locations are collected.

[0026] If the distribution density of the structure location exceeds the set density threshold, or the continuous frequency of the stress data fluctuation direction of the structure location exceeds the set continuous frequency threshold, it is inferred that there is interference at the structure location corresponding to the hose; if the distribution density of the structure location does not exceed the set density threshold, and the continuous frequency of the stress data fluctuation direction of the structure location does not exceed the set continuous frequency threshold, it is inferred that there is no interference at the structure location corresponding to the hose; proceed to step two.

[0027] Furthermore, if interference exists in the structural location, stress repair is performed on the hose. Simultaneously, based on the operating time of the hydrogen refueling process, the structural parameters of the corresponding hydrogen refueling vehicle are obtained, specifically the height and required hose distance. Based on the stress data fluctuation direction of the corresponding structural location, the location of stress influence is determined. The structural parameters of the hydrogen refueling vehicle at the corresponding refueling time are synchronously compared, and the corresponding structural parameters are marked as attention parameters. That is, if the real-time structural parameters of the hydrogen refueling vehicle appear, the vehicle's position needs to be moved. If the limit has been reached, the hose type or hydrogen refueling port is replaced. At the same time, the pressure change curve and the corresponding hydrogen refueling flow change curve with interference are recorded as trends to facilitate parameter warnings for subsequent hydrogen refueling processes.

[0028] Furthermore, the operational monitoring process in step two is as follows:

[0029] Set up an array of acoustic sensors; in the standby state of the hydrogen dispenser, synchronously collect the raw sound pressure signals of each sensor point, and continuously monitor the raw sound pressure signals according to the start-up of the hydrogen dispenser;

[0030] Record the noise sources inside the hydrogen refueling unit; and synchronously analyze the changes in the operating status of the noise sources and the original sound pressure signals; obtain the original sound pressure signals when the operating status parameters of the noise sources are reached based on the historical operation process, and mark them as standard signals;

[0031] If the real-time operating parameters of the noise source fluctuate towards the set parameters, and the original sound pressure signal continues to fluctuate, then the current stage is marked as the start-up operation stage. As the running time increases, the real-time operating parameters of the noise source reach the set parameters, then the current stage is marked as the stable operation stage. Subsequently, the hydrogen refueling task execution volume of the hydrogen refueling machine decreases, and the real-time operating parameters of the noise source decrease, then the current stage is marked as the operation stop stage.

[0032] The maximum amplitude peak deviation between the original sound pressure signal and the standard signal during the initial operation phase is obtained; the effective amplitude values ​​of the original sound pressure signal and the standard signal during the stable operation phase are obtained; the duration deviation between the original sound pressure signal and the standard signal during the stop operation phase is obtained; and the collected data are uniformly labeled as sound pressure data features.

[0033] Furthermore, during the operation of the hydrogen refueling machine, the sound pressure data characteristics are analyzed. If any data in the sound pressure data characteristics exceeds the corresponding threshold of the same type of data, it is inferred that there is an abnormal sound pressure signal during the operation of the hydrogen refueling machine. Based on the time stage of the corresponding sound pressure signal, the time point when the sound pressure signal became abnormal is determined, and then the abnormal location is marked as the abnormal location. The abnormal location and abnormal time point are sent to the administrator terminal for source tracing and repair. At the same time, the sound pressure data characteristics corresponding to the current sound pressure signal are recorded. Based on the source tracing process, it is determined whether there are other noise sources. If there are no other noise sources and the sound pressure effect continues, it is inferred that there is a leak in the hose, and the abnormal location is repaired and monitored. If no data in the sound pressure data characteristics exceeds the corresponding threshold of the same type of data, it is inferred that the sound pressure signal is normal during the operation of the hydrogen refueling machine. The sound pressure signal is recorded according to the time stage of the corresponding sound pressure signal and sent to the administrator terminal.

[0034] Furthermore, the vibration monitoring process in step three is as follows:

[0035] Continuous monitoring was conducted throughout the hydrogenation process, recording the vibration times of the hose and the area of ​​hose vibration after the hydrogen dispenser vibrated; the vibrating hose was analyzed based on the vibration transmission process within the hose vibration area.

[0036] The vibration end point is determined based on the hose vibration area, and the hose vibration area is divided into several sub-regions for vibration transmission attenuation analysis. The decrease rate of vibration amplitude in each adjacent sub-region is obtained, and a transmission energy reduction step is set based on multiple adjacent sub-regions. The vibration end point and the decrease rate of vibration amplitude in the adjacent sub-regions are obtained. If the decrease rate of vibration amplitude is not in the development trend of the transmission energy reduction step, or if the decrease rate of vibration amplitude exceeds the set amplitude decrease rate threshold, the current vibration end point is set as the hose fixing point.

[0037] Throughout the hydrogenation process, the peak distance of the hose vibration area and the set distance value of the hose fixing point are obtained in the direction of vibration transmission, and the real-time vibration distance excess is obtained based on the distance comparison; at the same time, the vibration fluctuation value of the adjacent sub-region corresponding to the hose fixing point is obtained in the direction of vibration transmission to generate the frequency.

[0038] If the real-time vibration distance exceeds the set threshold, or if the vibration fluctuation value of the adjacent sub-area corresponding to the hose fixing point exceeds the frequency threshold, it is inferred that the vibration monitoring is abnormal, i.e., the hose fixing point is loose. The administrator repairs the hose fixing point and resets the fixing point according to the operating requirements of the hydrogen dispenser. If the real-time vibration distance does not exceed the set threshold, and the vibration fluctuation value of the adjacent sub-area corresponding to the hose fixing point does not exceed the frequency threshold, it is inferred that the vibration monitoring is normal.

[0039] A hydrogen refueling machine hose testing device includes a memory and a processor, wherein the memory is used to store an executable computer program; the computer program is used to control the processor to execute the above-described method.

[0040] A computer-readable storage medium having a computer program stored thereon, the computer program implementing the above-described method when executed by a processor.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] 1. In this invention, by flexibly attaching / embedding an FBG strain sensor array, combined with existing pressure and flow sensors in the hydrogen refueling machine, high-frequency synchronous acquisition of hose strain, pressure, and flow data is achieved, solving the problem that traditional methods cannot capture dynamic stress. The parameterized FEA model can accurately simulate the hose geometry and material properties, using the acquired data as load-driven transient dynamic analysis to generate a full-field dynamic stress distribution cloud map, which can quantitatively assess the cumulative fatigue damage at each point, avoiding blind maintenance based on fixed cycles. Through static (single-moment over-red line value, instantaneous stress span) and dynamic (trend duration / frequency span) interference feature identification, the location of stress anomaly structures can be accurately located. Combined with hydrogen refueling vehicle parameter comparison and marking of attention parameters, the vehicle position can be adjusted or the hose / port replaced in a targeted manner, while the flow and pressure trends are recorded for subsequent early warning, improving the initiative and accuracy of interference handling.

[0043] 2. Employing a multi-element, wide-bandwidth acoustic sensor array with non-equidistant installation, coupled with microsecond-level time synchronization and high-frequency sampling, comprehensive and high-fidelity acquisition of hose acoustic pressure signals is achieved. By distinguishing between the three stages of hydrogen refueling machine start-up, stabilization, and shutdown, and comparing with standard acoustic pressure signals to obtain characteristics such as peak deviation, effective amplitude value, and duration deviation, abnormal acoustic pressure at different operating stages can be accurately identified, solving the problem of delayed response in traditional leak detection. Through anomaly location and time point tracing, the presence of leaks and other noise sources can be quickly determined, and timely notifications can be sent to the administrator terminal for repair monitoring, improving the timeliness and accuracy of hose leak detection and ensuring the sealing safety of the hydrogen refueling process.

[0044] 3. Industrial-grade IEPE accelerometers are installed at critical locations on the hose to ensure the fidelity of vibration signal transmission, enabling continuous monitoring of vibration throughout the hydrogenation process. By dividing the vibration sub-regions and setting energy reduction steps, the analysis of vibration amplitude reduction rate and fluctuation frequency can accurately determine whether vibration anomalies originate from loose fixing points. Combined with real-time vibration distance exceeding the threshold and frequency judgment, early warnings can be given for fixing point problems, avoiding the risk of hose connection wear or breakage due to vibration. Administrators can use this information to promptly repair or reset fixing points, improving the systematic nature of hose vibration status monitoring and ensuring the structural stability of the hose under varying flow conditions. Attached Figure Description

[0045] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0046] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0047] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0049] Please see Figure 1 As shown, a method for testing a hydrogen refueling machine hose is described, and the specific steps of the hose testing method are as follows:

[0050] Step 1: External Interference Analysis

[0051] During the operation of the hydrogen refueling hose, an analysis of external usage interference was conducted on the hydrogen refueling hose when vehicles at different altitudes were refueling. Existing technologies cannot quantify and assess the cumulative fatigue damage caused by random and dynamic stress on the hose, which is a major concern. Traditional methods rely on fixed usage time or number of hydrogen refuelings for replacement, ignoring the objective fact that the intensity of each operation is different, which may lead to "over-maintenance" or "under-maintenance".

[0052] Step 2: Internal Operation Monitoring

[0053] During the operation of the hydrogen refueling hose, when there is no external interference during real-time hydrogen refueling, the internal operation of the hydrogen refueling hose is monitored to ensure that there is no leakage in the hose;

[0054] Step 3: Vibration process monitoring

[0055] The vibration process of the hose is monitored during the operation of the hydrogen dispenser as the hydrogen flow rate changes.

[0056] Step 1, the external interference analysis process, is as follows:

[0057] A flexible, high-pressure resistant fiber optic grating (FBG) strain sensor array is flexibly attached to the outer wall of the hose or embedded in the connector at a specific interval. The FBG sensor has the advantages of being resistant to electromagnetic interference, explosion-proof, and capable of multi-point measurement, making it very suitable for the hydrogen refueling station environment. It can directly call on the signals of the high-precision pressure sensor and flow meter already in the hydrogen refueling machine.

[0058] Each hydrogenation process begins with a signal (e.g., the nozzle is raised) as the start signal and ends with a signal (e.g., the nozzle is hung up) as the stop signal. The center wavelength drift of all FBG sensors is acquired at a high frequency (e.g., 1000Hz). This drift is proportional to the strain on the hose surface, thereby obtaining the strain data of the hose at different locations over time; specifically, the stress values ​​in each direction.

[0059] Simultaneously collect pressure change curves and corresponding hydrogen flow rate change curves within the hydrogenation pipeline;

[0060] A unique data packet is generated for each hydrogenation operation, containing all the time-series data mentioned above, along with its timestamp, hydrogenation amount, and other metadata.

[0061] A parametric finite element analysis (FEA) model was established based on the current hydrogen refueling machine hose model. This model accurately simulated the hose's geometry, the properties of each layer of materials (inner liner, reinforcing layer, outer liner), and boundary conditions. The pressure change curves and corresponding hydrogen flow rate change curves collected each time were used as fluid loads, and strain data were used as boundary conditions or verification data for some nodes to drive the FEA model for transient dynamic analysis. The model calculated the dynamic stress distribution cloud map σ(x,y,z,t) of the hose at each moment during the entire hydrogen refueling process.

[0062] Based on the analysis of dynamic stress distribution cloud map, a risk point identification standard is set, that is, the strain data of each point in each direction is set with a red line value.

[0063] During the operation of the hydrogen refueling unit, the stress distribution and stress distribution changes at each moment are obtained from the dynamic stress distribution cloud map. When a single moment is the main detection subject, the stress value after the stress increases in any direction corresponding to the dynamic stress distribution cloud map is collected, and the value exceeding the red line at a single moment is obtained according to the risk point identification standard. At the same time, the stress in the same direction corresponding to the historical moment at the current moment is collected, and the instantaneous span of stress change is obtained based on the stress value in the direction at the current moment.

[0064] Exceeding the red line value at a single moment and the instantaneous span of stress change are marked as static disturbances;

[0065] When multiple moments are the main detection subjects, the runtime segment constructed at each moment is determined, and the fluctuation trend of stress data in each direction is obtained as the runtime increases in the dynamic stress distribution cloud map within the runtime segment;

[0066] The increasing trend and the stable trend are obtained based on the fluctuation trend of the stress values; the stable trend is represented by a non-increasing trend.

[0067] The data collection process includes the span of increase in duration of the increasing trend as running time increases during the operation phase, and the span of decrease in frequency of stable trends as running time increases; these spans of increase in duration and decrease in frequency are then marked as dynamic interference characteristics.

[0068] The characteristics of static and dynamic disturbances are represented in the parametric finite element analysis model, and are also represented in the geometric position of the corresponding hose in the model, with the stress data floating direction attached.

[0069] During hydrogen refueling, the distribution of structural locations exhibiting interference characteristics within the parameterized finite element analysis model of the hose is acquired, and the distribution density and corresponding stress data fluctuation direction of these locations are collected. If the distribution density of a structural location exceeds a set density threshold, or the duration of the stress data fluctuation direction exceeds a set duration frequency threshold, interference is inferred at the corresponding structural location of the hose, and stress repair is performed on the hose. Simultaneously, based on the operating time of the hydrogen refueling process, the structural parameters of the corresponding hydrogen refueling vehicle, such as height and required hose distance, are obtained. Based on the stress data fluctuation direction of the corresponding structural location, the location of stress influence is determined, and the structural parameters of the hydrogen refueling vehicle at the corresponding refueling time are synchronously compared. Corresponding structural parameters are marked as attention parameters; that is, if the real-time structural parameters of the hydrogen refueling vehicle appear, the vehicle's position needs to be moved. If the limit has been reached, the hose type or refueling port is replaced. At the same time, the pressure change curve and the corresponding hydrogen flow rate change curve exhibiting interference are recorded as trends to facilitate parameter warnings for subsequent hydrogen refueling processes.

[0070] If the distribution density at the structural location does not exceed the set density threshold, and the frequency of the stress data fluctuation at the structural location does not exceed the set frequency threshold, it is inferred that there is no interference at the structural location corresponding to the hose; proceed to step two.

[0071] Step two involves the following internal monitoring process:

[0072] Set up an acoustic sensor array, specifically including at least three (four to six recommended) wideband, high-sensitivity acoustic sensors (such as piezoelectric or condenser microphones), whose frequency response range should cover 20kHz–100kHz (including audible and ultrasonic sounds); the sensors are flexibly mounted on special clamps on the outer wall of the hose in a non-equal spacing manner, distributed along the length of the hose, and the position coordinates of each sensor are known.

[0073] And during data acquisition, ensure that the data acquisition of all sensor channels has high-precision time synchronization (microsecond level);

[0074] In the standby state of the hydrogen refueling machine, the acoustic sensing module synchronously collects the original sound pressure signals of each sensor point at a high frequency sampling rate (at least 250kHz to meet the requirements of the Nyquist sampling theorem for ultrasound), and continuously monitors the original sound pressure signals according to the start-up of the hydrogen refueling machine.

[0075] Record the noise sources inside the hydrogen refueling machine (such as compressors and pumps); and synchronously analyze the changes in the operating status of the noise sources and the original sound pressure signals; obtain the original sound pressure signals when the operating status parameters of the noise sources are reached based on the historical operation process, and mark them as standard signals;

[0076] If the real-time operating parameters of the noise source fluctuate towards the set parameters, and the original sound pressure signal continues to fluctuate, then the current stage is marked as the start-up operation stage. As the running time increases, the real-time operating parameters of the noise source reach the set parameters, then the current stage is marked as the stable operation stage. Subsequently, the hydrogen refueling task execution volume of the hydrogen refueling machine decreases, and the real-time operating parameters of the noise source decrease, then the current stage is marked as the operation stop stage.

[0077] The maximum amplitude peak deviation between the original sound pressure signal and the standard signal during the initial operation phase is obtained; the effective amplitude values ​​of the original sound pressure signal and the standard signal during the stable operation phase are obtained; the duration deviation between the original sound pressure signal and the standard signal entering the operation stop phase is obtained; the collected data are uniformly labeled as sound pressure data characteristics; it should be explained that in actual use scenarios, the quantization data of sound pressure signals is not limited to the data types mentioned in this manual;

[0078] During the operation of the hydrogen refueling unit, the sound pressure data characteristics are analyzed. If any data in the sound pressure data characteristics exceeds the threshold of the corresponding data of the same type, it is inferred that there is an abnormal sound pressure signal during the operation of the hydrogen refueling unit. Based on the time stage of the corresponding sound pressure signal, the time point when the sound pressure signal became abnormal is determined. Then, the abnormal location is marked as the abnormal location. The abnormal location and abnormal time point are sent to the administrator terminal for source tracing and repair. At the same time, the sound pressure data characteristics corresponding to the current sound pressure signal are recorded. Based on the source tracing process, it is determined whether there are other noise sources. If there are no other noise sources and the sound pressure effect continues, it is inferred that there is a leak in the hose, and the abnormal location is repaired and monitored.

[0079] If no data in the sound pressure data features exceeds the threshold of the corresponding data of the same type, it is inferred that the sound pressure signal is normal during the operation of the hydrogen refueling machine. The sound pressure signal is recorded according to the time stage of the corresponding sound pressure signal and sent to the administrator terminal.

[0080] The vibration monitoring process in step three is as follows:

[0081] Industrial-grade IEPE (integrated piezoelectric) accelerometers are selected; they feature a wide frequency response range (e.g., 0.5Hz~10kHz), high sensitivity, and the ability to withstand vibration, temperature, and humidity variations at the hydrogen refueling station site. At least three sensors are used, installed near the connectors at both ends of the hose and at the critical support clamp in the middle; a robust, high-rigidity mechanical connection is ensured between the sensors and the hose or its metal fasteners to guarantee the fidelity of vibration signal transmission.

[0082] Continuous monitoring was conducted throughout the hydrogenation process, recording the vibration times of the hose and the area of ​​hose vibration after the hydrogen dispenser vibrated; the vibrating hose was analyzed based on the vibration transmission process within the hose vibration area.

[0083] The vibration end point is determined based on the hose vibration area, and the hose vibration area is divided into several sub-regions for vibration transmission attenuation analysis. The decrease rate of vibration amplitude in each adjacent sub-region is obtained, and a transmission energy reduction step is set based on multiple adjacent sub-regions. The vibration end point and the decrease rate of vibration amplitude in the adjacent sub-regions are obtained. If the decrease rate of vibration amplitude is not in the development trend of the transmission energy reduction step, or if the decrease rate of vibration amplitude exceeds the set amplitude decrease rate threshold, the current vibration end point is set as the hose fixing point.

[0084] Throughout the hydrogenation process, the peak distance of the hose vibration area and the set distance of the hose fixing point are obtained in the direction of vibration transmission. The real-time vibration distance exceedance is obtained by comparing the distances. It should be noted that when the peak distance of the hose vibration area does not exceed the hose fixing point, it is assumed to be within the set exceedance threshold.

[0085] Simultaneously, the vibration fluctuation values ​​of adjacent sub-regions corresponding to the fixed points of the hose are obtained according to the vibration transmission direction to generate the frequency.

[0086] If the real-time vibration distance exceeds the set threshold, or if the vibration fluctuation value of the adjacent sub-area corresponding to the hose fixing point exceeds the frequency threshold, it is inferred that the vibration monitoring is abnormal, that is, the hose fixing point is loose. The administrator repairs the hose fixing point and resets the fixing point according to the operating requirements of the hydrogen dispenser.

[0087] If the real-time vibration distance exceeds the set threshold, and the vibration fluctuation value of the adjacent sub-region corresponding to the fixed point of the hose does not exceed the frequency threshold, then the vibration monitoring is considered to be normal.

[0088] Thresholds, preset values, or preset ranges are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or rational factors.

[0089] A hydrogen refueling machine hose testing device includes a memory and a processor, wherein the memory is used to store an executable computer program; the computer program is used to control the processor to execute the above-described method.

[0090] A computer-readable storage medium having a computer program stored thereon, the computer program implementing the above-described method when executed by a processor.

[0091] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for testing a hydrogen refueling machine hose, characterized in that, The steps for hose testing are as follows: Step 1: External Interference Analysis During the operation of the hydrogen refueling hose, an analysis of external interference was conducted on the hydrogen refueling hose when vehicles at different altitudes were refueling. Step 2: Internal Operation Monitoring During the operation of the hydrogen refueling hose, when there is no external interference during real-time hydrogen refueling, the internal operation of the hydrogen refueling hose is monitored to ensure that there is no leakage in the hose; Step 3: Vibration process monitoring: The vibration of the hose is monitored during the operation of the hydrogen dispenser as the hydrogen flow rate changes.

2. The method for testing a hydrogen refueling machine hose according to claim 1, characterized in that, Step 1, the external interference analysis process, is as follows: The start signal of each hydrogenation process is used as the start signal, and the end signal is used as the stop signal; the center wavelength drift of all FBG sensors is collected, and the center wavelength drift is proportional to the strain on the hose surface, thereby obtaining the strain data of the hose at different positions and over time; specifically, the stress values ​​in each direction. Simultaneously collect pressure change curves and corresponding hydrogen flow rate change curves within the hydrogenation pipeline; A unique data packet is generated for each hydrogenation operation, containing all the aforementioned time-series data, their timestamps, and the amount of hydrogen added.

3. The method for testing a hydrogen refueling machine hose according to claim 2, characterized in that, A parametric finite element analysis model is established based on the current hydrogen refueling machine hose model; the pressure change curve and the corresponding hydrogen flow rate change curve collected each time are used as fluid loads, and the strain data are used as boundary conditions or verification data for some nodes to drive the FEA model for transient dynamic analysis. The model calculates the dynamic stress distribution cloud map of the hose at every moment during the entire hydrogenation process; based on the analysis of the dynamic stress distribution cloud map, the risk point identification standard is set, that is, the strain data of each point in each direction is set as a red line value. During the operation of the hydrogen refueling unit, the stress distribution and stress distribution changes at each moment are obtained from the dynamic stress distribution cloud map. When a single moment is the main detection subject, the stress value after the stress increases in any direction corresponding to the dynamic stress distribution cloud map is collected, and the value exceeding the red line at a single moment is obtained according to the risk point identification standard. At the same time, the stress in the same direction corresponding to the historical moment at the current moment is collected, and the instantaneous span of stress change is obtained based on the stress value in the direction at the current moment. Exceeding the red line value at a single moment and the instantaneous span of stress change are marked as static disturbances; When multiple moments are the main detection subjects, the runtime segment constructed at each moment is determined, and the fluctuation trend of stress data in each direction is obtained as the runtime increases in the dynamic stress distribution cloud map within the runtime segment; The increasing trend and the stable trend are obtained based on the fluctuation trend of the stress value; A stable trend is represented by a non-increasing trend; The data collection process includes the span of increase in duration of the increasing trend as running time increases during the data collection and operation phase, as well as the span of decrease in frequency of stable trends as running time increases; and the span of increase in duration and the span of decrease in frequency are marked as dynamic interference characteristics.

4. The method for testing a hydrogen refueling machine hose according to claim 3, characterized in that, The characteristics of static and dynamic disturbances are represented in the parametric finite element analysis model, and are also represented in the geometric position of the corresponding hose in the model, with the stress data floating direction attached. During the hydrogenation process, the distribution of structural locations exhibiting disturbance characteristics within the parameterized finite element analysis model of the hose is obtained, and the distribution density of the structural locations and the stress data fluctuation orientation of the corresponding structural locations are collected. If the distribution density of the structure location exceeds the set density threshold, or the continuous frequency of the stress data fluctuation direction of the structure location exceeds the set continuous frequency threshold, it is inferred that there is interference at the structure location corresponding to the hose; if the distribution density of the structure location does not exceed the set density threshold, and the continuous frequency of the stress data fluctuation direction of the structure location does not exceed the set continuous frequency threshold, it is inferred that there is no interference at the structure location corresponding to the hose; proceed to step two.

5. The method for testing a hydrogen refueling machine hose according to claim 4, characterized in that, If interference is found in the structural location, stress repair is performed on the hose. Simultaneously, based on the operating time of the hydrogen refueling process, the structural parameters of the corresponding hydrogen refueling vehicle are obtained, specifically the height and required hose distance. Based on the stress data fluctuation direction at the corresponding structural location, the location of stress influence is determined. The structural parameters of the hydrogen refueling vehicle at the corresponding refueling time are synchronously compared, and the corresponding structural parameters are marked as attention parameters. That is, if the real-time structural parameters of the hydrogen refueling vehicle appear, the vehicle's position needs to be moved. If the limit has been reached, the hose type or hydrogen refueling port is replaced. At the same time, the pressure change curve and the corresponding hydrogen refueling flow change curve of the interference are recorded as trends to facilitate parameter warnings for subsequent hydrogen refueling processes.

6. The method for testing a hydrogen refueling machine hose according to claim 1, characterized in that, Step two involves the following internal monitoring process: Set up an array of acoustic sensors; in the standby state of the hydrogen dispenser, synchronously collect the raw sound pressure signals of each sensor point, and continuously monitor the raw sound pressure signals according to the start-up of the hydrogen dispenser; Record the noise sources inside the hydrogen refueling unit; and synchronously analyze the changes in the operating status of the noise sources and the original sound pressure signals; obtain the original sound pressure signals when the operating status parameters of the noise sources are reached based on the historical operation process, and mark them as standard signals; If the real-time operating parameters of the noise source fluctuate towards the set parameters, and the original sound pressure signal continues to fluctuate, then the current stage is marked as the start-up operation stage. As the running time increases, the real-time operating parameters of the noise source reach the set parameters, then the current stage is marked as the stable operation stage. Subsequently, the hydrogen refueling task execution volume of the hydrogen refueling machine decreases, and the real-time operating parameters of the noise source decrease, then the current stage is marked as the operation stop stage. The maximum amplitude peak deviation between the original sound pressure signal and the standard signal during the initial operation phase is obtained; the effective amplitude values ​​of the original sound pressure signal and the standard signal during the stable operation phase are obtained; the duration deviation between the original sound pressure signal and the standard signal during the stop operation phase is obtained; and the collected data are uniformly labeled as sound pressure data features.

7. The method for testing a hydrogen refueling machine hose according to claim 6, characterized in that, During the operation of the hydrogen refueling machine, the sound pressure data characteristics are analyzed. If any data in the sound pressure data characteristics exceeds the corresponding threshold of the same type of data, it is inferred that there is an abnormal sound pressure signal during the operation of the hydrogen refueling machine. Based on the time stage of the corresponding sound pressure signal, the time point when the sound pressure signal became abnormal is determined, and then the abnormal location is marked as the abnormal location. The abnormal location and abnormal time point are sent to the administrator terminal, which performs source tracing and repair. At the same time, the sound pressure data characteristics corresponding to the current sound pressure signal are recorded. Based on the source tracing process, it is determined whether there are other noise sources. If there are no other noise sources and the sound pressure effect continues, it is inferred that there is a leak in the hose, and the abnormal location is repaired and monitored. If no data in the sound pressure data characteristics exceeds the corresponding threshold of the same type of data, it is inferred that the sound pressure signal is normal during the operation of the hydrogen refueling machine. The sound pressure signal is recorded according to the time stage of the corresponding sound pressure signal and sent to the administrator terminal.

8. The method for testing a hydrogen refueling machine hose according to claim 1, characterized in that, The vibration monitoring process in step three is as follows: Continuous monitoring was conducted throughout the hydrogenation process, recording the vibration times of the hose and the area of ​​hose vibration after the hydrogen dispenser vibrated; the vibrating hose was analyzed based on the vibration transmission process within the hose vibration area. The vibration end point is determined based on the hose vibration area, and the hose vibration area is divided into several sub-regions for vibration transmission attenuation analysis. The decrease rate of vibration amplitude in each adjacent sub-region is obtained, and a transmission energy reduction step is set based on multiple adjacent sub-regions. The vibration end point and the decrease rate of vibration amplitude in the adjacent sub-regions are obtained. If the decrease rate of vibration amplitude is not in the development trend of the transmission energy reduction step, or if the decrease rate of vibration amplitude exceeds the set amplitude decrease rate threshold, the current vibration end point is set as the hose fixing point. Throughout the hydrogenation process, the peak distance of the hose vibration area and the set distance value of the hose fixing point are obtained in the direction of vibration transmission, and the real-time vibration distance excess is obtained based on the distance comparison; at the same time, the vibration fluctuation value of the adjacent sub-region corresponding to the hose fixing point is obtained in the direction of vibration transmission to generate the frequency. If the real-time vibration distance exceeds the set threshold, or if the vibration fluctuation value of the adjacent sub-area corresponding to the hose fixing point exceeds the frequency threshold, it is inferred that the vibration monitoring is abnormal, i.e., the hose fixing point is loose. The administrator repairs the hose fixing point and resets the fixing point according to the operating requirements of the hydrogen dispenser. If the real-time vibration distance does not exceed the set threshold, and the vibration fluctuation value of the adjacent sub-area corresponding to the hose fixing point does not exceed the frequency threshold, it is inferred that the vibration monitoring is normal.

9. A hydrogen refueling machine hose testing device, characterized in that, The device includes a memory and a processor, the memory being used to store an executable computer program; the computer program being used to control the processor to perform the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method as described in any one of claims 1 to 8.

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