A method, system, and apparatus for detecting airbag performance

Abstract

The present application belongs to the field of equipment maintenance, and particularly relates to a method, system and device for detecting air support performance, aiming at solving the problems of single detection means, inability to dynamically monitor and inaccurate replacement timing determination. The present application comprises: acquiring real-time continuous changing reaction force data; calculating at least one performance index, such as the force ratio of initial force and terminal force of working stroke, and / or force value change rate, based on the reaction force data; comparing the current performance index with pre-stored benchmark data representing the initial performance state of air support; and determining the performance state of air support based on the difference information generated by comparison, and outputting operation guidance or alarm information when performance decay or failure is determined. The present application can dynamically and intuitively reflect the real-time performance state of air support, realize early warning and positioning of performance decay, improve the reliability of boarding bridge operation, and at the same time provide objective data support for life evaluation and optimization of components.

Description

Technical Field

[0001] This invention belongs to the field of equipment maintenance, and specifically relates to a method, system and equipment for testing the performance of gas springs. Background Technology

[0002] Gas spring support columns are widely used in various fields, serving as auxiliary supports to maintain balance. Examples include gas springs for lifting bed frames in homes and gas springs for lifting the hood of car engine compartments. Such gas spring devices are also frequently used in simulator systems, most notably the gas springs installed on both sides of the bottom of boarding bridges. Based on existing workflows and inspection methods, the following three problems exist in the inspection and maintenance of gas springs:

[0003] 1. The timing of replacement is difficult to determine. The poorly performing gas springs should only be replaced when their performance deteriorates significantly, making the imbalance on both sides of the boarding bridge more apparent—that is, when the bridge becomes noticeably tilted. If the bridge's balance is neglected routinely, the replacement cycle will be prolonged, leading to the boarding bridge twisting and deforming, and also subjecting the electric actuator of the main thrust mechanism to increased load pressure, thus reducing its service life.

[0004] 2. It cannot accurately observe and test the working condition and performance of the gas spring. Traditional testing only monitors its working condition at a certain point, such as the raised or lowered position, and cannot perform dynamic monitoring to detect abnormal conditions during operation and intervene in a timely manner.

[0005] 3. It is impossible to intuitively judge the lifespan of a batch of gas springs through data, thus hindering the selection of high-quality and reliable gas springs as spare parts for the system. The traditional recording method calculates the lifespan of a gas spring from the installation of a new one to the next replacement cycle. This method results in data that is generalized, heavily influenced by subjective factors, and fails to accurately reflect the objective performance of the gas springs.

[0006] Based on this, the present invention proposes a method, system and device for testing the performance of gas support. Summary of the Invention

[0007] To address the aforementioned problems in the prior art, namely the limited means of testing the performance of boarding bridge gas springs, the inability to dynamically monitor them, and the inaccuracy in determining when to replace them, this invention provides a method, system, and device for testing the performance of gas springs.

[0008] A first aspect of the present invention provides a method for testing the performance of a gas support, the method comprising:

[0009] During the complete working stroke of the gas support, the reaction force data that changes continuously over time is acquired in real time.

[0010] Based on the acquired reaction force data, the initial force and the termination force representing the start and end points of the working stroke are extracted, and at least one performance index is calculated; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of the force value within the working stroke.

[0011] Compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support.

[0012] Based on the difference information generated by the comparison, the performance status of the gas support is determined; and when it is determined that the performance has degraded or failed, corresponding operation instructions or alarm information are output.

[0013] Furthermore, the method for establishing the pre-stored benchmark data characterizing the initial performance state of the gas support includes: after the gas support is installed and determined to be in normal performance, performing one or more complete working strokes, and using the benchmark working curve generated from the obtained reaction force data, or the initial values ​​of the initial force, termination force and performance indicators calculated from the reaction force data, as the benchmark data storage.

[0014] Furthermore, the specific steps for acquiring real-time reaction force data that changes continuously over time are as follows:

[0015] The system monitors the lifting motion control signal of the device linked to the gas spring. When an enable signal or a manual trigger signal indicating the start of the working stroke is detected, the system initiates data acquisition of the force sensor and continuously acquires data for the entire working stroke duration at a preset sampling frequency. This yields a continuous force data sequence that fully reflects the force change process of the gas spring from the start to the end of the stroke, which is used as reaction force data. The force sensor is mounted on the gas spring.

[0016] Furthermore, the calculation of performance indicators specifically includes:

[0017] The force ratio is obtained by dividing the initial force by the termination force and is used to characterize the force decay characteristics of the gas support in the extension and compression states.

[0018] The rate of change of force is obtained by calculating the rate of change of reaction force data points in adjacent or set intervals within the working stroke, and is used to characterize the force response sensitivity of the gas support to position changes during movement.

[0019] Furthermore, based on the difference information generated by the comparison, the performance status of the gas support is determined, specifically including:

[0020] Calculate the force difference between the reaction force data of the current working stroke and the reference data at each corresponding data point, and obtain the statistical characteristic value of the force difference within a single working stroke. The statistical characteristic value is the average value or the root mean square value.

[0021] Compare the statistical feature value corresponding to the current work trip with one or more historical statistical feature values ​​corresponding to previous work trips;

[0022] When the statistical characteristic value of the current working stroke is greater than the historical statistical characteristic value of the previous working stroke, it is determined that the gas support performance has experienced a decay event; if the decay event occurs in a preset number of consecutive working strokes, it is determined that the gas support performance has entered a state of continuous decay.

[0023] For the two air supports working together, when the statistical characteristic value of the first air support shows an increasing trend and the statistical characteristic value of the second air support shows a decreasing trend, the performance of the first air support is comprehensively judged to be better than that of the second air support.

[0024] Furthermore, in the step of outputting corresponding operation instructions or alarm information, the conditions for determining performance failure and triggering an alarm include at least one of the following:

[0025] The force ratio is greater than or equal to a first preset threshold; and / or

[0026] The absolute value of the rate of change of the force is less than or equal to a second preset threshold; and / or

[0027] The difference between the instantaneous force value at any corresponding data point of the real-time acquired reaction force data and the benchmark data exceeds the third preset threshold.

[0028] Furthermore, the method also includes:

[0029] When the gas spring is replaced, all historical performance data and baseline data corresponding to the gas spring stored in the system are reset and cleared. The baseline data is then re-acquired and established for the newly installed gas spring, starting a new and independent data recording and performance monitoring cycle.

[0030] Furthermore, the method is applied to the performance monitoring of gas struts that provide auxiliary support and balance for boarding bridges;

[0031] The complete working stroke corresponds to the lifting process of the boarding bridge from the lowered position to the raised position, or the lowering process from the raised position to the lowered position.

[0032] The initial force is the force exerted on the gas strut when it is in the lowered position of the boarding bridge, and the terminating force is the force exerted on the gas strut when it is in the raised position of the boarding bridge.

[0033] In another aspect, the present invention provides a system for detecting the performance of a gas spring, which implements a method for detecting the performance of a gas spring. The system includes:

[0034] The data acquisition module is configured to acquire reaction force data that changes continuously over time in real time during the complete working stroke of the gas support.

[0035] The performance index calculation module is configured to extract the initial force and the termination force representing the start and end points of the working stroke based on the acquired reaction force data, and calculate at least one performance index; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of the force value within the working stroke;

[0036] The comparison module is configured to compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support.

[0037] The determination module is configured to determine the performance status of the gas support based on the difference information generated by the comparison; and to output corresponding operation instructions or alarm information when it is determined that the performance has degraded or failed.

[0038] A third aspect of the present invention provides an electronic device comprising:

[0039] At least one processor; and

[0040] A memory communicatively connected to at least one of the processors; wherein,

[0041] The memory stores instructions that can be executed by the processor to implement the above-described method for detecting gas support performance.

[0042] The beneficial effects of this invention are:

[0043] This invention captures subtle trends in the degradation of gas spring performance by acquiring continuous force data in real time throughout the entire operating cycle and comparing it consistently with an initial performance benchmark. This allows maintenance personnel to anticipate and plan replacements based on objective data before a significant decline in gas spring performance leads to visible balance problems in the equipment, shifting from reactive, reactive replacement to proactive, pre-emptive prediction. This precise timing avoids equipment deformation or damage to associated components due to delayed replacement, extending the service life of the main equipment.

[0044] This invention abandons the static inspection approach at only the start and end points, instead employing high-frequency dynamic sampling of the gas support's stress state throughout the entire process. This method generates detailed data reflecting the gas support's performance throughout its entire movement, allowing any anomalies, such as sudden force changes or slow response, to be detected immediately within the current work cycle. This significantly improves the timeliness of fault detection, providing strong support for rapid intervention and ensuring the safe and stable operation of the equipment. Attached Figure Description

[0045] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0046] Figure 1 This is a flowchart illustrating a method for testing the performance of a gas support according to the present invention;

[0047] Figure 2 This is a schematic diagram of the force curve of the gas support in a method for testing the performance of the gas support according to the present invention. Detailed Implementation

[0048] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0049] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0050] This invention provides a method for testing the performance of gas springs, which can be applied to the performance monitoring of gas springs that provide auxiliary support and balance for boarding bridges. (See reference...) Figure 1 The method mainly includes the following steps:

[0051] Step S10: During the complete working stroke of the gas support, acquire the reaction force data that changes continuously with time in real time;

[0052] Step S20: Based on the acquired reaction force data, extract the initial force and the termination force that characterize the start and end points of the working stroke, and calculate at least one performance index; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of the force value within the working stroke;

[0053] Step S30: Compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support.

[0054] Step S40: Based on the difference information generated by the comparison, determine the performance status of the gas support; and when it is determined that the performance has degraded or failed, output the corresponding operation instructions or alarm information.

[0055] To more clearly illustrate the method for testing gas support performance according to the present invention, the following description is provided in conjunction with... Figure 1The steps in the embodiments of the present invention are described in detail below, including steps S10-S40.

[0056] Step S10: During the complete working stroke of the gas support, acquire the reaction force data that changes continuously over time in real time.

[0057] In a preferred embodiment, the step of acquiring reaction force data that changes continuously over time in real time specifically involves: monitoring the lifting motion control signal of the device linked with the gas spring; when an enable signal or manual trigger signal indicating the start of the working stroke is detected, data acquisition of the force sensor is initiated, and the entire working stroke duration is continuously acquired at a preset sampling frequency to obtain a continuous force data sequence that can completely reflect the force change process of the gas spring from the start to the end of the stroke, as the reaction force data; wherein, the force sensor is installed on the gas spring.

[0058] In this embodiment, to achieve accurate measurement of the gas spring's reaction force, a force sensor is installed at the bottom of the gas spring, which can stably collect the force on the gas spring throughout its entire movement. Data acquisition is not continuous but employs an intelligent triggering mechanism. Specifically, the system's host continuously monitors the motion control signals of the boarding bridge linked to the gas spring. When the boarding bridge begins a complete working stroke—for example, when the host detects an enable signal indicating the start of automatic raising, or when a maintenance personnel presses a manual raise / lower switch—data acquisition is initiated. Once started, the host samples the force sensor data at a preset high frequency, continuously covering the entire working stroke.

[0059] For example, data is continuously collected 100 times per second for the entire working stroke duration. In a specific application scenario, the boarding bridge's raising process takes 22 seconds, and its lowering process takes 15 seconds. The data acquisition will completely record all force value changes during this period. Thus, the system obtains a continuous force data sequence consisting of a series of force samples arranged in chronological order. This sequence can completely and intuitively reflect the entire force change process experienced by the gas strut from the start to the end of the stroke in the form of a graphical curve, serving as the reaction force data for that stroke. The curve uses time (seconds) as the unit of measurement on the horizontal axis (X-axis) and force (N) as the unit of measurement on the vertical axis (Y-axis).

[0060] To ensure data quality and system reliability, a data preprocessing stage can be included during data acquisition. After receiving the raw sampled values ​​from the force sensor, the host terminal can perform preliminary data validity verification, such as determining whether the sampled values ​​are within a reasonable range of the sensor's measurement range, such as 0-500N, to eliminate extreme abnormal data caused by signal interference or sensor malfunction. Simultaneously, simple digital filtering algorithms such as moving averages can be used to smooth the raw data to suppress high-frequency noise and obtain a more stable reaction force data sequence that more accurately reflects the force trend of the air support.

[0061] Furthermore, the system stores a separate data file for each successfully collected work process data. This file not only contains the processed reaction force data sequence but also records key metadata for this process, such as: timestamp, process type (rise / fall), trigger mode (automatic / manual), and the corresponding boarding bridge number and gas spring identifier. This data organization method, with spatiotemporal and status tags, lays a solid foundation for subsequent accurate historical data tracing, trend analysis, and performance comparison between different gas springs.

[0062] Step S20: Based on the acquired reaction force data, extract the initial force and termination force representing the start and end points of the working stroke, and calculate at least one performance index; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of force value within the working stroke.

[0063] In a specific embodiment, the calculation of the performance index specifically includes: the force ratio is obtained by dividing the initial force by the termination force, and is used to characterize the force attenuation characteristics of the gas support in the extension and compression states; the force value change rate is obtained by calculating the change rate of reaction force data points in adjacent or set intervals within the working stroke, and is used to characterize the force response sensitivity of the gas support to position changes during movement.

[0064] In this embodiment, after obtaining the aforementioned reaction force data sequence, the system processes it to extract key performance parameters. In the boarding bridge application scenario, the complete working stroke corresponds to the lifting process of the boarding bridge from the lowered position to the raised position, or vice versa. The system identifies the first sampled force value in the data sequence and defines it as the initial force, i.e., the force exerted on the gas support when the boarding bridge is in the lowered position, and identifies the last sampled force value and defines it as the termination force, i.e., the force exerted on the gas support when the boarding bridge is in the raised position. Subsequently, the system calculates at least two core performance indicators. The first is the force ratio, obtained by dividing the initial force by the termination force, used to characterize the force attenuation characteristics of the gas support in the extended and compressed states. For example, a healthy gas support has an initial force of approximately 480N and a termination force of 30N, with a force ratio of 16. The force ratio of a healthy gas support should be within a relatively stable range.

[0065] The second type is the force change rate, or force gradient, which is obtained by calculating the change in reaction force data between adjacent data points within the working stroke or within a preset time interval, i.e., the slope of the curve. This indicator is used to characterize the force response sensitivity of the gas lift to position changes during movement. A properly functioning gas lift should have a significant force change rate; while a poorly functioning gas lift will have a sluggish force response, resulting in a decrease in the absolute value of the force change rate. For example, during the lifting process, if the force changes from 480N to 30N over 22 seconds, the average change rate is approximately -20.45 N / s, where the negative sign indicates a decrease in force. A healthy gas lift should maintain an absolute force change rate above 15 N / s.

[0066] Step S30: Compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support.

[0067] In a specific embodiment, the method for establishing the pre-stored benchmark data characterizing the initial performance state of the gas support includes: after the gas support is installed and determined to be in normal performance, performing one or more complete working strokes, and storing the benchmark working curve generated from the obtained reaction force data, or the initial values ​​of the initial force, termination force and performance indicators calculated from the reaction force data, as the benchmark data.

[0068] See Figure 2 In this embodiment, to accurately assess the current performance of the gas support, the system requires a health status reference standard, i.e., baseline data. The process of establishing this baseline data is a crucial component of the method. Specifically, after a new gas support is installed on the equipment and its functionality is initially confirmed, the system performs one or more complete standard operating cycles. The reaction force data collected during this process is processed and stored. The baseline data can take two forms: one is to directly store the complete force-time data sequence collected this time as a baseline operating curve; the other is to calculate the initial values ​​of key indicators such as initial force, termination force, force ratio, and force change rate from this data sequence, and store these initial values ​​as baseline data. This initialization process provides a reliable reference origin for all subsequent performance degradation analyses.

[0069] Step S40: Based on the difference information generated by the comparison, determine the performance status of the gas support; and when it is determined that the performance has degraded or failed, output the corresponding operation instructions or alarm information.

[0070] In a preferred embodiment, determining the performance status of the gas support based on the difference information generated by the comparison specifically includes: calculating the force difference between the reaction force data of the current working stroke and the reference data at each corresponding data point, and obtaining the statistical characteristic value of the force difference within a single working stroke, wherein the statistical characteristic value is the average value or the root mean square value; comparing the statistical characteristic value corresponding to the current working stroke with one or more historical statistical characteristic values ​​corresponding to previous working strokes; when the statistical characteristic value of the current working stroke is greater than the historical statistical characteristic value of the previous working stroke, it is determined that the performance of the gas support has experienced a decay event; if the decay event occurs in a consecutive preset number of working strokes, it is determined that the performance of the gas support has entered a continuous decay state; for the two gas supports working together, when the statistical characteristic value of the first gas support shows an increasing trend and the statistical characteristic value of the second gas support shows a decreasing trend, it is comprehensively determined that the performance status of the first gas support is better than that of the second gas support.

[0071] In addition, in the step of outputting corresponding operation instructions or alarm information, the conditions for determining performance failure and triggering alarm include at least one of the following: the value of the force ratio is greater than or equal to a first preset threshold; and / or the absolute value of the force value change rate is less than or equal to a second preset threshold; and / or the difference between the instantaneous force value of the real-time acquired reaction force data and the reference data at any corresponding data point exceeds a third preset threshold.

[0072] In this embodiment, the determination process is multi-layered. First, to quantify the overall performance deviation of a single stroke, the system compares the reaction force data curve of the current working stroke with the baseline working curve point by point, calculates the force difference at each corresponding time (data point), and statistically analyzes all differences to obtain a statistical characteristic value, such as the average or root mean square value of the differences, thereby quantifying the overall performance deviation of a single stroke. For example, the average difference of a new gas spring may be close to 0N, but with use, this value may gradually increase to 20N or 50N;

[0073] Secondly, to determine whether performance is in a continuous decline trend, the system compares the statistical characteristic value of the current stroke with the historical statistical characteristic value of one or more previous working strokes of the gas support. If the current statistical characteristic value is found to be greater than the previous value, it can be determined that a performance degradation event has occurred. If such degradation events occur consecutively for a preset number of times, for example, if the statistical characteristic value of 5 consecutive working strokes shows a monotonically increasing trend, the system determines that the performance of the gas support has entered a continuous degradation state and outputs corresponding operation guidance, such as prompting on the maintenance interface that the gas support health is declining and to pay attention, or estimating the remaining life based on the degradation rate to assist in the formulation of a predictive maintenance plan. For example, when the system records that the average difference of a gas support shows a monotonically increasing trend of "20N, 25N, 31N, 38N, 45N" in 5 consecutive working strokes, it can determine that its performance has entered a continuous degradation state and output operation guidance, such as prompting on the maintenance interface that the health of the left gas support has dropped to 85% and the estimated remaining life is 45 days.

[0074] When the statistical characteristic value of the first air support working in tandem increases continuously while the statistical characteristic value of the second air support decreases, the system can determine that the performance of the first air support has deteriorated, causing the second air support to bear an additional load, thereby accurately locating the faulty side.

[0075] In certain situations, the gas support may experience sudden and serious malfunctions. To address this, the system is equipped with failure criteria that directly trigger an alarm. Once any of these criteria is met—for example, if the currently calculated force ratio is greater than or equal to a preset first threshold, the absolute value of the force change rate is less than or equal to a preset second threshold, or the instantaneous force difference at any point in the stroke exceeds a large third preset threshold—the system will immediately output an emergency alarm, prompting maintenance personnel to replace the gas support immediately.

[0076] More specifically, in one embodiment of the present invention, the determination of gas support performance failure and the triggering of the alarm in the step of outputting corresponding operation instructions or alarm information are based on clear and quantifiable threshold conditions. These thresholds can be preset and stored in the system according to the theoretical parameters of different types of gas supports and a large amount of experimental data.

[0077] The first preset threshold is the core criterion for determining force ratio failure conditions. This threshold is used to determine whether the gas spring has lost its core force attenuation characteristic. In a specific example, for a certain type of boarding bridge gas spring, its normal operating force ratio is usually around 16. The first preset threshold is set to 20. When the real-time force ratio calculated by the system is greater than or equal to 20, it indicates that the output force ratio of the gas spring in the extended state and the compressed state is abnormally high, and its internal damping may have seriously failed. The system then determines that its performance has failed and triggers the highest level alarm, indicating that it must be replaced immediately.

[0078] The determination of force change rate failure conditions is based on the second preset threshold. This threshold is used to identify the loss of dynamic response capability of the gas spring. For example, during the 22-second raising process of the boarding bridge, the absolute value of the force change rate of a normal gas spring is usually not less than 15 N / s. In this case, the second preset threshold can be set to 10 N / s. If the absolute value of the force change rate is continuously lower than 10 N / s throughout the entire working stroke, it indicates that the force on the gas spring hardly changes with the stroke, the internal mechanism may be stuck, and the system will determine that its dynamic function has failed and trigger an alarm.

[0079] The determination of failure conditions based on instantaneous force difference relies on the third preset threshold, designed to detect sudden faults. This threshold is typically set based on the safe upper limit of the fluctuation range of the reference data. For example, at a certain sampling point, the reference force value is 300 N, and the normal fluctuation range is ±20 N. Therefore, the third preset threshold can be set to 50 N (i.e., 2.5 times the allowable fluctuation range). Once the instantaneous difference between the real-time acquired force data and the reference data at any corresponding point exceeds 50 N, it indicates a rapid and abnormal change in the stress state, and the system will immediately trigger an emergency alarm, indicating potential structural damage.

[0080] By setting thresholds with specific numerical examples as described above, the system can clearly and reliably identify different failure modes of the gas support, thereby ensuring the timeliness and accuracy of maintenance operations.

[0081] In this embodiment, the step of determining the performance state of the gas support based on the difference information generated by the comparison further includes a failure mode identification process based on differential dynamics characteristics, which includes:

[0082] Differential calculations are performed on the continuous reaction force data sequence of the current working stroke to generate first-order and second-order differential curves;

[0083] From the first-order and second-order differential curves, extract at least one differential eigenvalue to characterize the dynamic response quality of the air support.

[0084] The extracted differential feature values ​​are compared with the pre-established failure mode discrimination criteria; wherein, the failure mode discrimination criteria define the typical numerical range or variation law of the differential feature values ​​associated with a specific failure type; the specific failure type includes at least oil abnormality, mechanical jamming or overall rigidity reduction;

[0085] Based on the comparison results, the specific failure type of the gas support is determined, and the specific failure diagnosis conclusion based on differential dynamics characteristic analysis is included in the output operation instructions or alarm information.

[0086] The specific differential eigenvalues ​​and failure mode discrimination criteria are as follows:

[0087] The differential characteristic values ​​include: the fluctuation amplitude range of the first-order differential curve within the complete working stroke, the frequency of the zero-crossing point of the second-order differential curve, or the value of the extreme point of the second-order differential curve during a specific stress stage.

[0088] The failure mode discrimination criterion defines the typical numerical range or variation law of the differential characteristic values ​​corresponding to different failure types, and includes at least one of the following discrimination methods:

[0089] If the fluctuation amplitude range of the first-order differential curve is less than the first discrimination threshold, it is determined to be a damping failure characteristic caused by abnormal oil or internal leakage.

[0090] If the frequency of the zero-crossing point of the second-order differential curve is higher than the second discrimination threshold, it is determined that there is a motion discontinuity feature caused by mechanical jamming or dry friction.

[0091] If the absolute value of the extreme point of the second-order differential curve during the main pressure-bearing stage of the air support is lower than the third discrimination threshold, it is determined to be a characteristic of a decrease in the overall rigidity of the air support.

[0092] In a specific application scenario of this invention, taking the lifting process of a boarding bridge (approximately 22 seconds) as an example, the failure mode identification process begins with differential calculations on the reaction force data sequence acquired at a high frequency (e.g., 100Hz). The system first processes the original force-time curve using a numerical differentiation method (e.g., the central difference method) to generate a first-order differential curve. The value at each point on this curve represents the instantaneous rate of force change at that moment. Then, the same differentiation operation is performed again on the first-order differential curve to obtain a second-order differential curve, which characterizes the acceleration of the force change rate. This step deepens the force observation into the capture of its dynamic microscopic characteristics.

[0093] The feature extraction stage focuses on the physical meaning revealed by these differential curves. For example, for a high-performance new gas spring with stable internal damping, the first-order differential curve should exhibit moderate and regular fluctuations around zero, with the fluctuation range (the difference between the maximum and minimum values) likely stable between 15 N / s and 20 N / s. If the gas spring experiences internal leakage or oil emulsification, its equivalent damping will significantly decrease, leading to slower force changes, and the fluctuation range of the first-order differential curve will shrink, possibly dropping below 5 N / s. Simultaneously, the system counts the frequency of the second-order differential curve crossing zero within a 22-second travel time. Crossing zero signifies a change in the direction of the force change rate; an excessively high frequency (e.g., more than 10 times) suggests frequent minor jamming during the motion. Furthermore, the system will locate the stage where the boarding bridge body completely leaves the support point and the gas spring enters its primary pressure-bearing phase (e.g., from the 5th to the 10th second) and read the extreme values ​​(peak values) of the second-order differential curve during this stage. This extreme value reflects the "rapid" speed at which the air support establishes its support force; a healthy air support may reach this value of 50 N / s. 2 However, if insufficient internal nitrogen pre-compression leads to a decrease in rigidity, this extreme value may decrease to 20 N / s. 2 the following.

[0094] The pre-established failure mode discrimination criteria are derived from statistical analysis of a large amount of experimental data on known failed gas supports. In this embodiment, the criteria stipulate that: if the amplitude range of the first-order differential fluctuation is consistently lower than the first discrimination threshold of 8 N / s, damping failure is highly suspected; if the frequency of the second-order differential zero crossing exceeds 10 times in a single stroke (the second discrimination threshold), it indicates the presence of motion discontinuity; if the absolute value of the second-order differential extreme value is lower than the third discrimination threshold of 25 N / s during the main pressure-bearing stage... 2 If the threshold is not met, it is determined that the overall rigidity is insufficient. These thresholds can be calibrated according to the gas spring model and actual working conditions.

[0095] In actual diagnosis, suppose the system detects that the amplitude of the first-order differential fluctuation of a certain gas support is only 4 N / s, which is significantly lower than the first discrimination threshold. Based on this, the system will not simply report "performance degradation", but will combine the knowledge base judgment to output a more targeted diagnostic conclusion: "The force response is too smooth, the dynamic damping is significantly lower than the normal level, suspected oil deterioration or internal leakage", thus locking the root cause of the fault to the damping system.

[0096] For example, if the second derivative of another gas spring has a zero-crossing frequency as high as 15 times, far exceeding the second discrimination threshold, the system will identify this feature and conclude: "High-frequency micro-jerkiness was detected during the movement, suspected to be due to slight bending of the piston rod or poor lubrication causing dry friction." This will directly draw the attention of maintenance personnel to the mechanical transmission components.

[0097] In another scenario, if the second-order differential extremum of a gas support during the pressure-bearing phase is only 15 N / s... 2 If the force build-up is below the third threshold, the system will analyze its force build-up characteristics and indicate: "Slow force build-up was detected during the main pressure-bearing phase, and the overall rigidity decreased significantly, suspected to be nitrogen pressure loss or cylinder fatigue." This suggests that the problem may lie in the energy storage unit or structural integrity of the gas strut.

[0098] Ultimately, the system integrates the analysis results of the above differential dynamic characteristics to generate diagnostic conclusions that include specific failure types, and incorporates operational guidelines. For example, the alarm message will no longer be a general "Gas support failure, please replace," but a specific "Alarm: Right side air support #3 has failed, diagnostic feature is loss of dynamic damping (suspected internal leakage), it is recommended to prioritize checking the sealing ring. At the same time, left side air support #2 indicates decreased rigidity, please monitor its nitrogen pressure." This solution improves the efficiency and accuracy of maintenance work, achieving a leap from condition monitoring to fault diagnosis.

[0099] In this embodiment, after the step of outputting the corresponding operation instructions or alarm information, a linkage protection and decision support process with the boarding bridge control system is also included:

[0100] Following the step of outputting the corresponding operation instructions or alarm information, a linkage protection process with the boarding bridge control system is also included, which includes:

[0101] When it is determined that the gas spring performance has entered a state of continuous degradation but has not reached the instantaneous failure standard, a first-type control suggestion is automatically sent to the boarding bridge control system, so that in subsequent operations, the rated operating speed of the boarding bridge is adjusted to a preset safe speed lower than the normal value; and / or

[0102] When it is determined that the performance of the gas spring has reached the failure standard, a second type of control suggestion is automatically sent to the boarding bridge control system to lock the automatic lifting function and force a switch to a low-speed inching mode that can only be performed with continuous confirmation from maintenance personnel.

[0103] It also includes decision support processes:

[0104] Based on the determined specific performance degradation mode or failure type, the operation guide dynamically generates and recommends a corresponding specific maintenance operation sequence; and / or

[0105] When the performance of one gas spring is significantly inferior to that of the other, the operating guidelines explicitly recommend replacing the two gas springs in pairs.

[0106] The core of the linkage protection process in this embodiment lies in implementing differentiated active control strategies based on the severity of performance degradation. When the system determines that the performance of a gas spring has entered a state of continuous degradation—for example, when the statistical characteristic value of performance deteriorates continuously over multiple consecutive working strokes, but has not yet reached the hard threshold for immediate failure—the system goes beyond simply issuing a warning message and automatically sends a first-type control suggestion to the main control system of the boarding bridge. This suggestion is essentially an optimization instruction. Upon receiving this instruction, the main control system of the boarding bridge will proactively reduce the operating speed of the bridge body from the normal rated value (e.g., 100% speed) to a preset safe speed (e.g., 60% of the rated value) in all subsequent automatic lifting operations. The direct technical effect of this speed adjustment is that it significantly reduces the dynamic load and inertial impact that the gas spring needs to respond to and withstand per unit time, providing a reduced-load operating mode for gas springs whose performance has begun to deteriorate, thereby delaying further performance degradation and buying valuable time for planned maintenance, achieving an upgrade from early warning to active protection.

[0107] The situation becomes more urgent when the system determines that the gas spring performance has reached the failure standard, for example, by triggering any of the failure thresholds described in the above embodiments. In this case, the system immediately generates and sends a higher-priority second-type control suggestion to the boarding bridge control system. Upon responding to this suggestion, the main control system will take more stringent protective measures: in addition to activating the highest-level audible and visual alarm, it will automatically lock the one-button automatic lifting function on the operator interface to prevent the risk from escalating due to misoperation. Simultaneously, the system will forcibly switch the lifting control to a safe inching mode. In this mode, any lifting movement of the bridge requires maintenance personnel to continuously press and hold the control button, and its operating speed is limited to a very low level, such as 20% of the rated value. This inching mode is designed to allow necessary, controllable minor position adjustments to ensure safety, but eliminates the possibility of full-length automatic operation in the event of gas spring failure, greatly improving equipment safety and forming an important active safety defense.

[0108] In terms of decision support, the process described in this embodiment also exhibits intelligent features. Instead of providing general suggestions for checking the gas spring, the system dynamically combines and recommends a highly targeted maintenance sequence within the generated operation guide, based on the specific performance degradation mode or failure type determined by the differential dynamics characteristics in the aforementioned embodiments. For example, if the diagnosis is suspected internal leakage, the generated maintenance sequence details "Step 1: Check the piston rod seal with a leak detector; Step 2: If no external leakage is found, prepare to replace the gas spring assembly"; while if the diagnosis is mechanical jamming, the sequence becomes "Step 1: Clean and lubricate the piston rod surface; Step 2: Manually reciprocate the gas spring several times to observe whether it moves smoothly." This precise guidance based on the root cause of the fault greatly improves the efficiency and first-time success rate of maintenance work.

[0109] Furthermore, the system possesses a global judgment capability regarding the gas springs on both sides of the boarding bridge that work in tandem. When data comparison clearly indicates that the performance of one gas spring is significantly inferior to that of the other, the system's operational guidelines, based on engineering principles of extending the overall lifespan of the equipment and maintaining system balance, explicitly recommend replacing the gas springs on both sides in pairs. This recommendation avoids the problems that may arise from replacing only one side's gas springs, such as performance mismatch between the old and new gas springs, thereby accelerating the wear of the new gas springs or causing the bridge structure to become unbalanced again, demonstrating the rationality and long-term vision of the system's decision-making. Through the aforementioned coordinated protection and decision support process, this invention achieves a complete intelligent operation and maintenance closed loop, from condition monitoring to proactive control and then to precise maintenance.

[0110] In addition, the method of the present invention also includes: when the gas support is replaced, resetting and clearing all historical performance data and benchmark data stored in the system corresponding to the gas support, and re-acquiring and establishing benchmark data for the newly installed gas support, thus starting a new and independent data recording and performance monitoring cycle.

[0111] In this embodiment, the method also includes a complete data lifecycle management mechanism. After maintenance personnel replace the gas spring according to system guidance or alarms, they can perform a data reset operation through the system interface. This operation completely erases all historical data related to the replaced gas spring, including its operating curve records, historical statistical characteristic values, and the initially established baseline data. Subsequently, the system will automatically or manually trigger the aforementioned baseline data establishment process for the newly installed gas spring (as described in step S30), thereby initiating a new and independent performance monitoring and data recording cycle. This closed-loop management not only ensures the accuracy of subsequent monitoring but also enables the system to accurately record and analyze the complete operating cycle (such as total number of operations) of each gas spring from installation to replacement, providing objective data support for evaluating the true lifespan and reliability of gas springs of different brands and models, thus helping users select higher-quality spare parts.

[0112] Although the steps in the above embodiments are described in the above order, those skilled in the art will understand that in order to achieve the effect of this embodiment, different steps do not need to be executed in such an order. They can be executed simultaneously (in parallel) or in a reverse order. These simple variations are all within the protection scope of this invention.

[0113] A system for detecting the performance of a gas spring according to a second embodiment of the present invention, which implements a method for detecting the performance of a gas spring, the system comprising:

[0114] The data acquisition module is configured to acquire reaction force data that changes continuously over time in real time during the complete working stroke of the gas support.

[0115] The performance index calculation module is configured to extract the initial force and the termination force representing the start and end points of the working stroke based on the acquired reaction force data, and calculate at least one performance index; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of the force value within the working stroke;

[0116] The comparison module is configured to compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support.

[0117] The determination module is configured to determine the performance status of the gas support based on the difference information generated by the comparison; and to output corresponding operation instructions or alarm information when it is determined that the performance has degraded or failed.

[0118] In a specific physical implementation, these functional modules are not isolated units, but rather an organic whole achieved through the collaborative efforts of a series of interconnected hardware components.

[0119] Specifically, the data acquisition module physically consists primarily of one or more high-precision force sensors. These force sensors are securely mounted at key force-bearing locations of the monitored gas spring, such as the piston rod end or cylinder bottom, to ensure accurate and interference-free capture of the reaction force experienced throughout its entire working stroke. The force sensors convert the sensed physical force into a continuous analog electrical signal in real time. The module may also integrate signal conditioning circuitry, such as amplifiers and filters, to optimize the raw signal, and includes an analog-to-digital converter to convert the conditioned analog signal into a digital signal sequence for subsequent processing. This digitized reaction force data is transmitted to the system's core processing unit via a wired or wireless data interface.

[0120] The functions of the performance index calculation module, comparison module, and judgment module are typically integrated into a central processing unit (CPU) in the hardware architecture, such as a microcontroller, embedded system, or processor of an industrial-grade personal computer. This processor, acting as the system's brain, is electrically connected to the memory. The memory contains firmware programs or software applications that implement the functions of these modules. These programs include algorithmic logic for extracting initial and final forces, calculating force ratios and force change rates, comparison logic for comparing real-time data with baseline data point-by-point or feature-based, and decision logic for determining performance status based on preset thresholds and trend analysis rules. Simultaneously, the memory also pre-stores baseline data established under the initial normal state of the air support. The processor executes these executable instructions in the memory to perform a series of complex processing and analysis of the reaction force data received from the data acquisition module.

[0121] Throughout the system, the connections between various hardware entities form a complete operational chain. A clear data transmission path exists between the force sensor and the processor. After receiving data, the processor performs high-speed data exchange with the memory, reads program instructions and basic data, and writes intermediate calculation results and the final judgment state into the memory. When the judgment module concludes that performance has degraded or failed, it does not merely stop at changing its internal state but generates corresponding control instructions through the processor's I / O ports. These instructions are sent to one or more output devices electrically connected to the processor. This output device is the physical presentation of the judgment results; its specific form can be text prompts or graphical curves on a human-machine interface, on-site audible and visual alarms such as buzzers and warning lights, or a network communication module used to remotely send alarm information and detailed performance data to the central monitoring system or the mobile terminal of maintenance personnel.

[0122] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the system described above can be found in the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0123] It should be noted that the system for testing gas support performance provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0124] An electronic device according to a third embodiment of the present invention includes:

[0125] At least one processor; and

[0126] A memory communicatively connected to at least one of the processors; wherein,

[0127] The memory stores instructions that can be executed by the processor to implement the above-described method for detecting gas support performance.

[0128] A computer-readable storage medium according to a fourth embodiment of the present invention stores computer instructions that are executed by the computer to implement the above-described method for detecting gas support performance.

[0129] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the storage device and processing device described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0130] Those skilled in the art will recognize that the modules and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. The programs corresponding to the software modules and method steps can be placed in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art. To clearly illustrate the interchangeability of electronic hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the invention.

[0131] The fifth embodiment of the present invention proposes a boarding bridge with a self-detection function for gas support performance, comprising:

[0132] Bridge body;

[0133] A lifting mechanism is used to drive the bridge body to rise and fall;

[0134] At least one gas strut is provided to provide auxiliary support and balance for the lifting mechanism;

[0135] And a gas support performance testing system, the testing system comprising:

[0136] A force sensor mounted on at least one gas spring;

[0137] A processor and memory integrated with the control system of the boarding bridge;

[0138] A human-machine interface or alarm device connected to the control system;

[0139] The processor is configured to execute instructions to: acquire the reaction force data of the force sensor in real time, calculate the performance index, compare it with the benchmark data in the memory, determine the performance status of the gas spring based on the comparison result, and finally output operation guidance or alarm information through the human-machine interface or alarm device.

[0140] The specific calculation and judgment process is described in the corresponding process in the aforementioned method embodiments, and will not be repeated here.

[0141] The terms “first”, “second”, etc., are used to distinguish similar objects, not to describe or indicate a specific order or sequence.

[0142] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0143] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for testing the performance of a gas support, characterized in that, The method includes: During the complete working stroke of the gas support, the reaction force data that changes continuously over time is acquired in real time. Based on the acquired reaction force data, the initial force and the termination force representing the start and end points of the working stroke are extracted, and at least one performance index is calculated; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of the force value within the working stroke. The calculation of performance indicators specifically includes: The force ratio is obtained by dividing the initial force by the termination force and is used to characterize the force decay characteristics of the gas support in the extension and compression states. The rate of change of force value is obtained by calculating the rate of change of reaction force data points in adjacent or set intervals within the working stroke, and is used to characterize the force response sensitivity of the gas support to position changes during the movement. Compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support. Based on the difference information generated by comparison, the performance status of the gas support is determined; and when it is determined that the performance has degraded or failed, corresponding operation instructions or alarm information are output. Based on the difference information generated by the comparison, the performance status of the gas support is determined, specifically including: Calculate the force difference between the reaction force data of the current working stroke and the reference data at each corresponding data point, and obtain the statistical characteristic value of the force difference within a single working stroke. The statistical characteristic value is the average value or the root mean square value. Compare the statistical feature value corresponding to the current work trip with one or more historical statistical feature values ​​corresponding to previous work trips; When the statistical characteristic value of the current working stroke is greater than the historical statistical characteristic value of the previous working stroke, it is determined that the gas support performance has experienced a decay event; if the decay event occurs in a preset number of consecutive working strokes, it is determined that the gas support performance has entered a state of continuous decay. For the two air supports working together, when the statistical characteristic value of the first air support shows an increasing trend and the statistical characteristic value of the second air support shows a decreasing trend, the performance of the first air support is comprehensively judged to be better than that of the second air support. The step of determining the performance state of the gas support also includes a failure mode identification process based on differential dynamics characteristics, which includes: Differential calculations are performed on the continuous reaction force data sequence of the current working stroke to generate first-order and second-order differential curves; From the first-order and second-order differential curves, extract at least one differential eigenvalue to characterize the dynamic response quality of the air support. The extracted differential feature values ​​are compared with the pre-established failure mode discrimination criteria; wherein, the failure mode discrimination criteria define the typical numerical range or variation law of the differential feature values ​​associated with a specific failure type; the specific failure type includes at least oil abnormality, mechanical jamming or overall rigidity reduction; Based on the comparison results, the specific failure type of the gas support is determined, and the specific failure diagnosis conclusion based on differential dynamics characteristic analysis is included in the output operation instructions or alarm information.

2. The method for testing the performance of a gas support according to claim 1, characterized in that, The method for establishing the pre-stored benchmark data characterizing the initial performance state of the gas support includes: after the gas support is installed and determined to be in normal performance, performing one or more complete working strokes, and using the benchmark working curve generated from the obtained reaction force data, or the initial values ​​of the initial force, termination force and performance indicators calculated from the reaction force data, as the benchmark data storage.

3. The method for testing the performance of a gas support according to claim 1, characterized in that, The specific steps for acquiring real-time, continuously changing reaction force data are as follows: The system monitors the lifting motion control signal of the gas spring linkage device. When an enable signal or manual trigger signal indicating the start of the working stroke is detected, data acquisition of the force sensor is initiated, and the entire working stroke duration is continuously acquired at a preset sampling frequency to obtain a continuous force data sequence that can completely reflect the force change process of the gas spring from the start to the end of the stroke, which serves as the reaction force data. The force sensor is installed on the gas spring.

4. The method for testing the performance of a gas support according to claim 1, characterized in that, In the steps of outputting corresponding operation instructions or alarm information, the conditions for determining performance failure and triggering an alarm include at least one of the following: The force ratio is greater than or equal to a first preset threshold; and / or The absolute value of the rate of change of the force is less than or equal to a second preset threshold; and / or The difference between the instantaneous force value at any corresponding data point of the real-time acquired reaction force data and the benchmark data exceeds the third preset threshold.

5. The method for testing the performance of a gas support according to claim 1, characterized in that, The method also includes: When the gas spring is replaced, all historical performance data and baseline data corresponding to the gas spring stored in the system are reset and cleared. The baseline data is then re-acquired and established for the newly installed gas spring, starting a new and independent data recording and performance monitoring cycle.

6. A method for testing the performance of a gas support according to any one of claims 1-5, characterized in that, The method is applied to the performance monitoring of gas struts that provide auxiliary support and balance for boarding bridges; The complete working stroke corresponds to the lifting process of the boarding bridge from the lowered position to the raised position, or the lowering process from the raised position to the lowered position. The initial force is the force exerted on the gas strut when it is in the lowered position of the boarding bridge, and the terminating force is the force exerted on the gas strut when it is in the raised position of the boarding bridge.

7. A system for testing the performance of a gas spring, for implementing the method for testing the performance of a gas spring according to any one of claims 1-6, characterized in that, The system includes: The data acquisition module is configured to acquire reaction force data that changes continuously over time in real time during the complete working stroke of the gas support. The performance index calculation module is configured to extract the initial force and the termination force representing the start and end points of the working stroke based on the acquired reaction force data, and calculate at least one performance index; the performance index includes the force ratio of the initial force to the termination force, and / or the rate of change of the force value within the working stroke; The comparison module is configured to compare the reaction force data corresponding to the current working stroke or the performance index calculated based on it with the pre-stored benchmark data characterizing the initial performance state of the air support. The determination module is configured to determine the performance status of the gas support based on the difference information generated by the comparison; and to output corresponding operation instructions or alarm information when it is determined that the performance has degraded or failed.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to at least one of the processors; wherein, The memory stores instructions executable by the processor to implement a method for detecting gas support performance as described in any one of claims 1-6.

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