Health monitoring method and system of rack

Abstract

The invention provides a health monitoring method and system for a rack, and can be applied to the technical field of aviation and the technical field of measurement. The health monitoring method for the rack comprises the steps that a monitoring signal of the rack is obtained from a monitoring device, the monitoring device is installed on the rack, the rack is used for detecting the performance of aviation mechanical equipment, and the monitoring device comprises multiple sensors; based on the time information of the monitoring signal, performing difference calculation on signal data of a plurality of adjacent moments in the monitoring signal to obtain a plurality of monitoring difference signals; health assessment information of the rack is obtained according to the multiple monitoring difference signals and weights corresponding to the multiple sensors, the weights are determined according to model parameters of a regression model, and the model parameters are obtained by training historical monitoring signals, collected by the multiple sensors, of the rack.

Description

Technical Field

[0001] The present disclosure relates to the fields of aviation technology and measurement technology, and more specifically to a health monitoring method and system for a test bench. Background Art

[0002] The test bench is a key device for performance testing of various mechanical equipment in aviation. The stability and health of its structure are directly related to the safety and reliability of the test. However, during the long-term test process, the test bench may have safety hazards due to uneven force, material fatigue, etc. If it is not discovered and handled in time, it may lead to test failure or even damage to the mechanical equipment.

[0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following problems in the related art: when multiple sensors are used to monitor the health of the test bench, the accuracy of the health assessment is low. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a health monitoring method and system for a test bench.

[0005] According to a first aspect of the present disclosure, a health monitoring method for a test bench is provided, comprising: acquiring a monitoring signal of the test bench from a monitoring device, the monitoring device being installed on the test bench, the test bench being used to perform performance detection on aviation mechanical equipment, the monitoring device comprising a plurality of sensors; performing difference calculation on signal data at a plurality of adjacent moments in the monitoring signal based on time information of the monitoring signal to obtain a plurality of monitoring difference signals; obtaining health assessment information of the test bench according to the plurality of monitoring difference signals and respective corresponding weights of the plurality of sensors, the weights being determined according to model parameters of a regression model, the model parameters being obtained by training using historical monitoring signals of the test bench collected by the plurality of sensors.

[0006] According to an embodiment of the present disclosure, a monitoring device includes a vibration sensor, a stress sensor and a temperature sensor, and a monitoring signal includes a vibration signal, a stress signal and a temperature signal; based on the time information of the monitoring signal, a difference calculation is performed on the signal data at multiple adjacent moments in the monitoring signal to obtain multiple monitoring difference signals including: when the time information between the vibration signal, the stress signal and the temperature signal is different, the vibration signal, the stress signal and the temperature signal are respectively sampled based on a preset sampling frequency to obtain a target vibration signal, a target stress signal and a target temperature signal; the signal data at multiple adjacent moments of the target vibration signal, the target stress signal and the target temperature signal are respectively calculated to obtain a monitoring difference signal.

[0007] According to an embodiment of the present disclosure, the signal data of multiple adjacent moments of the target vibration signal, the target stress signal and the target temperature signal are difference calculated to obtain a monitoring difference signal, which also includes: performing Fourier transform on the target vibration signal to obtain a frequency domain vibration signal; performing difference calculation on the signal data of adjacent moments in the frequency domain vibration signal to obtain a vibration difference signal. The monitoring difference signal includes the vibration difference signal.

[0008] According to an embodiment of the present disclosure, the trigger signals of the vibration sensor, the stress sensor and the temperature sensor are the same signal.

[0009] According to an embodiment of the present disclosure, obtaining the health assessment information of the test bench according to multiple monitoring difference signals and the weights corresponding to each of the multiple sensors includes: determining the monitoring difference sub-signal from the monitoring difference signal using a sampling window; calculating the cumulative change value of the monitoring signal based on the time information of the monitoring difference sub-signal and the sampling window, and obtaining the health assessment information of the test bench according to the cumulative change value and the weights of each of the multiple sensors.

[0010] According to an embodiment of the present disclosure, the monitored difference sub-signals include a stress difference sub-signal, a temperature difference sub-signal and a vibration difference sub-signal; the health assessment information of the test bench is obtained according to the cumulative change value and the respective weights of multiple sensors, including: the vibration health value is calculated according to the cumulative change value of the vibration difference sub-signal, the natural frequency of the test bench and the weight of the vibration sensor; the stress health value is calculated according to the cumulative change value of the stress difference sub-signal, the allowable stress of the test bench and the weight of the stress sensor; the temperature health value is calculated according to the cumulative change value of the temperature difference sub-signal and the weight of the temperature sensor; the health assessment information of the test bench is determined according to the vibration health value, the stress health value and the temperature health value.

[0011] According to an embodiment of the present disclosure, based on the time information of the monitoring difference sub-signal and the sampling window, calculating the cumulative change value of the monitoring signal includes: determining the vibration frequency domain sub-signal from the vibration frequency domain signal according to the time information of the sampling window; and obtaining the cumulative change value of the vibration signal according to the vibration frequency domain sub-signal and the vibration difference sub-signal.

[0012] According to an embodiment of the present disclosure, the method further includes: in response to the health assessment information indicating that the gantry is in an abnormal state, controlling the gantry to perform a parking operation.

[0013] A second aspect of the present disclosure provides a system for monitoring the health of a rack, comprising: a monitoring device for collecting monitoring signals of the rack, the monitoring device being installed on the rack; and a server for executing the above-mentioned rack health monitoring method.

[0014] According to an embodiment of the present disclosure, the monitoring device includes: a vibration sensor for collecting vibration signals of the frame; a stress sensor for collecting stress signals of the frame; a temperature sensor for collecting temperature signals of the frame, and the monitoring signals include vibration signals, stress signals and temperature signals.

[0015] A third aspect of the present disclosure provides a health monitoring device for a test bench, including: an acquisition module, used to acquire a monitoring signal of the test bench from a monitoring device, the monitoring device is installed on the test bench, the test bench is used to perform performance detection on aviation mechanical equipment, and the monitoring device includes multiple sensors; a difference calculation module, used to perform difference calculation on signal data at multiple adjacent moments in the monitoring signal based on time information of the monitoring signal to obtain multiple monitoring difference signals; an acquisition module, used to obtain health assessment information of the test bench according to the multiple monitoring difference signals and weights corresponding to each of the multiple sensors, the weights being determined according to model parameters of a regression model, and the model parameters being obtained by training using historical monitoring signals of the test bench collected by multiple sensors.

[0016] A fourth aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0017] The fifth aspect of the present disclosure further provides a computer-readable storage medium on which a computer program or instruction is stored, and the steps of the above method are implemented when the above computer program or instruction is executed by a processor.

[0018] The sixth aspect of the present disclosure further provides a computer program product, including a computer program or instructions, which implement the steps of the above method when the above computer program or instructions are executed by a processor.

[0019] According to an embodiment of the present disclosure, a monitoring signal of a test bench is acquired from a monitoring device, and based on the time information of the monitoring signal, a difference calculation is performed on signal data at multiple adjacent moments in the monitoring signal to obtain a monitoring difference signal, which can reflect the signal changes of the test bench over time.

[0020] Then, based on the model parameters of the regression model, the corresponding weights of the various sensors in the monitoring device are determined. Since the model parameters are trained using the historical health monitoring signals of the test bench collected by various sensors, the weights can accurately characterize the importance of the signals collected by various sensors in the test bench health assessment.

[0021] Therefore, according to the monitoring difference signal and the corresponding weights of various sensors, accurate health assessment information of the test bench can be obtained, which improves the accuracy of health assessment of the test bench by multiple sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above contents and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0023] Figure 1 The application scenario diagram of the health monitoring method of the bench according to the embodiment of the present disclosure is schematically shown;

[0024] Figure 2 A flowchart of a health monitoring method for a gantry according to an embodiment of the present disclosure is schematically shown;

[0025] Figure 3 A schematic diagram schematically shows a system for monitoring the health of a gantry according to an embodiment of the present disclosure;

[0026] Figure 4 A schematic diagram of the installation position of the monitoring device according to an embodiment of the present disclosure is schematically shown;

[0027] Figure 5 A schematic diagram of a stress sensor according to an embodiment of the present disclosure is schematically shown;

[0028] Figure 6 A structural block diagram of a health monitoring device for a bench according to an embodiment of the present disclosure is schematically shown; and

[0029] Figure 7 A block diagram of an electronic device suitable for implementing a health monitoring method for a bench according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0030] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0031] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0032] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0033] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0034] In the technical solution of the present disclosure, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0035] In the scenario of using personal information for automated decision-making, the methods, devices, and systems provided by the embodiments of the present disclosure provide users with corresponding operation portals for users to choose to agree or reject the automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered. The expression "automated decision-making" here refers to the activity of automatically analyzing and evaluating a person's behavioral habits, interests and hobbies, or economic, health, credit status, etc. through computer programs, and making decisions. The expression "expert decision-making" here refers to the activity of making decisions by people who specialize in a certain field, have specialized experience, knowledge and skills, and have reached a certain level of professionalism.

[0036] An embodiment of the present disclosure provides a health monitoring method for a test bench, comprising: acquiring a monitoring signal of the test bench from a monitoring device, the monitoring device being installed on the test bench, the test bench being used to perform performance detection on aviation mechanical equipment, the monitoring device comprising a plurality of sensors; performing difference calculation on signal data at a plurality of adjacent moments in the monitoring signal based on time information of the monitoring signal to obtain a plurality of monitoring difference signals; obtaining health assessment information of the test bench according to the plurality of monitoring difference signals and respective corresponding weights of the plurality of sensors, the weights being determined according to model parameters of a regression model, the model parameters being obtained by training using historical monitoring signals of the test bench collected by the plurality of sensors.

[0037] Figure 1 The application scenario diagram of the health monitoring method of the bench according to the embodiment of the present disclosure is schematically shown.

[0038] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a monitoring device 110, a server 120, and a network 130. The network 130 is used to provide a medium for a communication link between the monitoring device 110 and the server 120. The network 130 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0039] The monitoring device 110 interacts with the server 120 via the network 130 to receive or send messages, etc.

[0040] The monitoring device 110 may include a variety of sensors, and the multiple sensors are installed on the bench. The monitoring device 110 can collect one or more types of monitoring signals of the bench. For example, the sensor can be a resistance strain gauge with a patch, a temperature measuring meter that directly displays the temperature, or a T-type thermocouple, etc.

[0041] The server 120 may be a server that provides various services, such as a background management server (only as an example) that provides support using the monitoring signals of the rack collected by the monitoring device 110. The background management server may perform signal processing and signal analysis on the monitoring signals to perform health assessment on the rack, and feed back the health assessment information to the user.

[0042] It should be noted that the health monitoring method of the rack provided in the embodiment of the present disclosure can generally be executed by the server 120. Accordingly, the health monitoring device of the rack provided in the embodiment of the present disclosure can generally be set in the server 120. The health monitoring method of the rack provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 120 and can communicate with the monitoring device 110 and / or the server 110. Accordingly, the health monitoring device of the rack provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 120 and can communicate with the monitoring device 110 and / or the server 120.

[0043] It should be understood that Figure 1 The number of monitoring devices, networks and servers in the embodiment is only for illustration. Any number of monitoring devices, networks and servers may be provided according to the implementation requirements.

[0044] Figure 2 The flowchart of the health monitoring method of the test bench according to the embodiment of the present disclosure is schematically shown.

[0045] like Figure 2 As shown, the health monitoring method of the rack of this embodiment includes operations S210 to S230.

[0046] In operation S210, a monitoring signal of a test bench is acquired from a monitoring device, the monitoring device is installed on the test bench, the test bench is used to perform performance testing on aviation mechanical equipment, and the monitoring device includes a variety of sensors.

[0047] According to an embodiment of the present disclosure, the test bench may be a test bench, a test bench, etc. The test bench may be used to perform performance testing and verification on aviation mechanical equipment. The aviation mechanical equipment may be tires, engines, hydraulic systems, pneumatic systems, etc. of an aircraft.

[0048] For example, tire test benches are used to test the grip characteristics of tires in aviation; engine test benches are used to test the driving performance of aircraft engines. Pneumatic system test benches are used to troubleshoot the aircraft's pneumatic system.

[0049] According to the embodiments of the present disclosure, during the long-term test and inspection process, the test bench may have safety hazards due to uneven force, material fatigue, etc., which may lead to test failure or even equipment damage. Therefore, it is necessary to perform health and safety analysis on the test bench in real time.

[0050] According to the embodiments of the present disclosure, the monitoring signal can represent information such as torque, temperature, humidity, etc. arranged in a time series relationship based on the sampling time. That is, the monitoring signal includes information collected by multiple sensors.

[0051] For example, if the sampling frequency is 50 Hz, the monitoring signal of the rotation speed can be {10, 12, 11}, the signal data is arranged according to the time of acquisition, and the time interval between two adjacent signal data is 0.02 seconds. The time corresponding to each signal data can be calculated based on the sampling start time.

[0052] In operation S220, based on the time information of the monitoring signal, a difference calculation is performed on the signal data at multiple adjacent moments in the monitoring signal to obtain multiple monitoring difference signals.

[0053] According to an embodiment of the present disclosure, the time information of the monitoring signal may be determined according to the sampling start time and the sampling frequency.

[0054] According to the embodiments of the present disclosure, based on the time information of the monitoring signal, linear difference calculation can be performed on two signal data at adjacent moments in sequence. For example, the first signal data in the monitoring signal is subtracted from the second signal data to obtain the first difference signal data; the second signal data is subtracted from the third signal data to obtain the second difference signal data, until all the signal data of the monitoring signal are subjected to difference calculation to obtain the monitoring difference signal.

[0055] The monitoring difference signal can reflect the signal change of the test bench over time. For example, the monitoring signal can be a torque arranged in a time series relationship based on the sampling time, and the monitoring difference signal can reflect the torque change of the test bench over time. In the case of a sudden change in torque, there may be a change in the mechanical equipment being tested on the test bench, causing a sudden change in the pressure on the test bench.

[0056] In operation S230, health assessment information of the rack is obtained based on multiple monitoring difference signals and weights corresponding to the multiple sensors. The weights are determined based on model parameters of the regression model, and the model parameters are trained using historical monitoring signals of the rack collected by the multiple sensors.

[0057] According to the embodiments of the present disclosure, the test bench takes into account the individual needs of performance testing during design, such as the tire test bench has a stronger support capacity than the pneumatic system test bench. Therefore, different types of test benches can withstand different pressures, temperatures, humidity, torque, etc. The information such as pressure, temperature, humidity, torque, etc. collected by various sensors has different importance for the health assessment of different types of test benches.

[0058] According to an embodiment of the present disclosure, the regression model may be a linear regression, and the model parameters of the linear regression may characterize the degree of influence of the monitoring signal collected by each sensor on the health assessment of the test bench.

[0059] For example, the historical monitoring signals of the test bench collected by various sensors are used to train the regression model corresponding to the test bench. The independent variables in the regression model can be the monitoring signals collected by various sensors, the dependent variables can be the test bench health assessment values, and the model parameters of the regression model can be the coefficients of the independent variables. Therefore, the model parameters of the regression model can accurately characterize the importance of the monitoring signals collected by various sensors to the test bench health assessment.

[0060] According to an embodiment of the present disclosure, a monitoring signal of a test bench is acquired from a monitoring device, and based on the time information of the monitoring signal, a difference calculation is performed on signal data at multiple adjacent moments in the monitoring signal to obtain a monitoring difference signal, which can reflect the signal changes of the test bench over time.

[0061] Then, based on the model parameters of the regression model, the corresponding weights of the various sensors in the monitoring device are determined. Since the model parameters are trained using the historical health monitoring signals of the test bench collected by various sensors, the weights can accurately characterize the importance of the signals collected by various sensors in the test bench health assessment.

[0062] Therefore, according to the monitoring difference signal and the corresponding weights of various sensors, accurate health assessment information of the test bench can be obtained, which improves the accuracy of health assessment of the test bench by multiple sensors.

[0063] According to an embodiment of the present disclosure, the monitoring device includes a vibration sensor, a stress sensor and a temperature sensor, and the monitoring signal includes a vibration signal, a stress signal and a temperature signal.

[0064] Damage or aging of the test bench causes changes in the structural stiffness, resulting in changes in the vibration characteristics of the test bench. For example, damage, cracks, etc. cause the structural stiffness to decrease, and the natural frequency of the test bench to change. When the test bench becomes partially loose, the amplitude will increase.

[0065] The structural dynamics model of the test bench structure can be expressed by the following linear vibration equation:

[0066] mẍ (t)+ cx (t)+ kx (t)= F(t)(1)

[0067] t is the time information, m is the mass of the test bench structure, c is the damping coefficient, k is the stiffness coefficient, mẍ (t), cx(t), kx (t) are the acceleration, velocity and displacement responses of the structure, respectively, and F(t) represents the external excitation force.

[0068] According to an embodiment of the present disclosure, a vibration sensor can be used to monitor the vibration state of the platform in real time. For example, the vibration sensor can collect parameters such as vibration displacement, velocity, acceleration, etc. of the platform and convert the above parameters into vibration signals.

[0069] Strain is an important parameter that reflects the stress state of the structure. When the test bench is under load, different parts will produce corresponding strains. Stress sensors (such as strain gauges) are attached to a key cross-section position of the test bench. The strain ε(t) formula is as follows:

[0070] (2)

[0071] N(t) is the internal force of the section, EA is the section property, and the section property can be the cross-sectional area or elastic modulus.

[0072] When the test bench is in a healthy state, the strain of the test bench under the design load should be within a certain reasonable range. When the structure is damaged (such as cracks, material degradation, etc.), the local stiffness decreases, which will lead to stress redistribution and thus cause the strain to change. By long-term monitoring of the strain change trend, it is possible to preliminarily determine whether the structure has potential safety hazards.

[0073] According to an embodiment of the present disclosure, the stress sensor can be used to monitor the strain state of the platform in real time. For example, the stress sensor can collect deformation information of the platform under the action of force and convert the deformation information into a stress signal.

[0074] Due to the thermal expansion and contraction characteristics of the scaffold material, temperature changes will cause the structure to expand and contract, and will also change the stiffness and stress state of the structure. The expansion and contraction ΔL can be expressed as:

[0075] (3)

[0076] The temperature change is ΔT, and the linear expansion coefficient of the material is α. ΔT can be obtained from the temperature difference signal in the monitoring difference signal.

[0077] Temperature changes can also interfere with strain measurements because strain gauges not only sense the strain caused by the force on the test bench structure, but also respond to deformation caused by temperature.

[0078] According to an embodiment of the present disclosure, the temperature sensor can be used to monitor the temperature parameters of the bench in real time. For example, the temperature sensor can be a patch T-type thermocouple, which can quickly convert temperature information into a temperature signal.

[0079] According to an embodiment of the present disclosure, based on the time information of the monitoring signal, the signal data at multiple adjacent moments in the monitoring signal are difference calculated to obtain multiple monitoring difference signals, including: when the time information between the vibration signal, the stress signal and the temperature signal is different, the vibration signal, the stress signal and the temperature signal are respectively sampled based on a preset sampling frequency to obtain a target vibration signal, a target stress signal and a target temperature signal; the signal data at multiple adjacent moments of the target vibration signal, the target stress signal and the target temperature signal are difference calculated to obtain a monitoring difference signal.

[0080] According to an embodiment of the present disclosure, different sampling start times and sampling frequencies will cause different time information between vibration signals, stress signals, and temperature signals. After obtaining the vibration signal, stress signal, and temperature signal, the vibration signal, stress signal, and temperature signal are sampled again to obtain a target vibration signal, a target stress signal, and a target temperature signal of a preset sampling frequency. For example, the vibration signal, stress signal, and temperature signal are interpolated using an interpolation algorithm to obtain a target vibration signal, a target stress signal, and a target temperature signal of a preset sampling frequency. The interpolation algorithm may be a Lagrange interpolation algorithm, a cubic spline interpolation algorithm, and the like. For example, the acquisition frequencies of the vibration sensor, stress sensor, and temperature sensor are all adjusted to a preset sampling frequency with higher accuracy.

[0081] The target vibration signal, the target stress signal, and the target temperature signal have the same signal data volume and the same time information, so the target vibration signal, the target stress signal, and the target temperature signal are high-quality signal data.

[0082] According to an embodiment of the present disclosure, the monitoring difference signal may include a vibration difference signal, a stress difference signal and a temperature difference signal.

[0083] For example, by performing difference calculation on the signal data of multiple adjacent moments of the target vibration signal, target stress signal and target temperature signal, vibration difference signals, stress difference signals and temperature difference signals with the same time information and the same amount of signal data can be obtained.

[0084] According to an embodiment of the present disclosure, the signal data of multiple adjacent moments of the target vibration signal, the target stress signal and the target temperature signal are difference calculated to obtain a monitoring difference signal, which also includes: performing Fourier transform on the target vibration signal to obtain a frequency domain vibration signal; performing difference calculation on the signal data of adjacent moments in the frequency domain vibration signal to obtain a vibration difference signal. The monitoring difference signal includes the vibration difference signal.

[0085] By performing Fourier transform on the target vibration signal x(t), we can get the frequency domain vibration signal X(ω):

[0086] (4)

[0087] ω is the angular frequency. By analyzing X(ω), we can obtain the spectrum characteristics of the test bench vibration, such as the natural frequency, frequency response function, etc. In the spectrum, the natural frequency usually appears as a peak with a large amplitude. When the test bench structure is damaged or the performance is degraded, the natural frequency of the test bench will change accordingly. For example, a decrease in stiffness will lead to a decrease in the natural frequency.

[0088] For example, the target vibration signal is subjected to Fourier transformation to obtain a frequency domain vibration signal; the natural frequency signal is extracted from the frequency domain vibration signal. The signal data at adjacent moments in the natural frequency signal are subjected to difference calculation to obtain a vibration difference signal, and the monitoring difference signal includes the vibration difference signal.

[0089] According to an embodiment of the present disclosure, the trigger signals of the vibration sensor, the stress sensor and the temperature sensor are the same signal.

[0090] According to the embodiments of the present disclosure, the vibration sensor, stress sensor and temperature sensor are sampled synchronously through trigger signals so that the sampling start time is the same, thereby ensuring the time alignment of the data. Even if the sampling frequencies of the vibration sensor, stress sensor and temperature sensor are different, the vibration signal, stress signal and temperature signal can be interpolated using an interpolation algorithm to obtain a target vibration signal, target stress signal and target temperature signal of a preset sampling frequency. Not only is the efficiency of signal processing improved, but the accuracy of the signal data is also higher, making the health assessment of the test bench more accurate.

[0091] According to an embodiment of the present disclosure, obtaining the health assessment information of the test bench according to multiple monitoring difference signals and the weights corresponding to each of the multiple sensors includes: determining the monitoring difference sub-signal from the monitoring difference signal using a sampling window; calculating the cumulative change value of the monitoring signal based on the time information of the monitoring difference sub-signal and the sampling window, and obtaining the health assessment information of the test bench according to the cumulative change value and the weights of each of the multiple sensors.

[0092] According to an embodiment of the present disclosure, the sampling window may include n data points, that is, the monitoring difference sub-signal may have n difference signal data.

[0093] For example, the cumulative change value of the monitoring signal may be the sum of n difference signal data in the sampling window.

[0094] According to the embodiments of the present disclosure, since the health information of the rack is cumulative over time, that is, the health status of the rack will deteriorate over time, the time information of the difference signal data at the rear position of the sampling window can be used as the health assessment time of the rack. For example, the time information of the difference signal data at the last position of the sampling window can be used as the health assessment time of the rack.

[0095] According to an embodiment of the present disclosure, the health of the rack is evaluated based on the cumulative change values ​​of n data points, which can reduce the impact of a single data point (such as noise, abnormal, invalid data points, etc.) on the health evaluation.

[0096] According to an embodiment of the present disclosure, based on the time information of the monitoring difference sub-signal and the sampling window, calculating the cumulative change value of the monitoring signal includes: determining the vibration frequency domain sub-signal from the vibration frequency domain signal according to the time information of the sampling window; and obtaining the cumulative change value of the vibration signal according to the vibration frequency domain sub-signal and the vibration difference sub-signal.

[0097] According to an embodiment of the present disclosure, vibration frequency domain data identical to the time information of the sampling window is extracted from the vibration frequency domain signal to obtain a vibration frequency domain sub-signal.

[0098] The cumulative change value of the vibration signal can be expressed as , n is the number of data points in the sampling window, is the vibration difference data in the vibration difference sub-signal, is the vibration frequency domain data in the vibration frequency domain sub-signal.

[0099] According to an embodiment of the present disclosure, the cumulative change value of the vibration signal takes into account the data change amount between adjacent vibration signal data to take into account the overall manifestation of the data change amount in the vibration signal data, which can reduce health assessment errors caused by sudden and obvious vibration changes when the test equipment is replaced on the bench.

[0100] According to an embodiment of the present disclosure, the monitoring difference sub-signal includes a stress difference sub-signal, a temperature difference sub-signal and a vibration difference sub-signal.

[0101] According to an embodiment of the present disclosure, the health assessment information of the test bench is obtained according to the cumulative change value and the respective weights of multiple sensors, including: calculating the vibration health value according to the cumulative change value of the vibration difference sub-signal, the natural frequency of the test bench and the weight of the vibration sensor; calculating the stress health value according to the cumulative change value of the stress difference sub-signal, the allowable stress of the test bench and the weight of the stress sensor; calculating the temperature health value according to the cumulative change value of the temperature difference sub-signal and the weight of the temperature sensor; determining the health assessment information of the test bench according to the vibration health value, the stress health value and the temperature health value.

[0102] According to an embodiment of the present disclosure, the vibration health value It can be expressed as:

[0103] (5)

[0104] in, is the weight of the vibration sensor, and the natural frequency of the test bench is .

[0105] Stress health value It can be expressed as:

[0106] (6)

[0107] in, is the weight of the stress sensor, is the vibration difference data in the vibration difference sub-signal, and the allowable stress of the test bench is For example, the allowable stress may be the maximum stress.

[0108] Temperature health value It can be expressed as:

[0109] (7)

[0110] in, is the weight of the temperature sensor, The temperature difference sub-signal is the temperature difference data, and the threshold value of the temperature change of the test bench is T0.

[0111] According to the embodiments of the present disclosure, the health assessment information can compare the vibration health value, stress health value, and temperature health value with the vibration health threshold, stress health threshold, and temperature health threshold in the test bench, respectively, to obtain health assessment information on vibration, stress, and temperature, which is beneficial for the maintenance personnel of the test bench to obtain health details in a timely manner.

[0112] For example, indicator lights can be set for vibration sensors, temperature sensors, and stress sensors, respectively, to display them to users in a visual form, and to send out alarm signals when abnormal conditions are detected so that timely measures can be taken. When the vibration health value is less than the vibration health threshold, it is a healthy state, and the indicator light of the vibration sensor is green. When the vibration health value approaches or exceeds the vibration health threshold, it is a warning state, and the indicator light of the vibration sensor is yellow. When the vibration health value far exceeds the vibration health threshold, it is an alarm state, and the indicator light of the vibration sensor is red.

[0113] According to an embodiment of the present disclosure, the health assessment information may be a comprehensive assessment value H, and the formula is as follows:

[0114] (8)

[0115] Set the comprehensive evaluation threshold Hth. When H>Hth, the system will send out a warning signal to indicate the health problem of the test bench. According to the range of H value, different warning levels can be divided into yellow (level 1) and red (level 2) warnings to remind the test personnel to take corresponding measures.

[0116] According to an embodiment of the present disclosure, the method further includes: in response to the health assessment information indicating that the gantry is in an abnormal state, controlling the gantry to perform a parking operation.

[0117] According to an embodiment of the present disclosure, the test bench is in an abnormal state. In order to prevent damage to mechanical equipment in the performance test, the test bench may be controlled to perform a parking operation.

[0118] Figure 3 A schematic diagram of a system for monitoring the health of a gantry according to an embodiment of the present disclosure is schematically shown.

[0119] like Figure 3 As shown, the health monitoring system of the rack of this embodiment includes a monitoring device 110 and a server 120 .

[0120] The monitoring device 110 is used to collect monitoring signals of the rack, and the monitoring device is installed on the rack.

[0121] The server 120 is used to obtain a monitoring signal of a test bench from a monitoring device, where the test bench is used to perform performance testing on aviation mechanical equipment, and the monitoring device includes a plurality of sensors; based on time information of the monitoring signal, a difference calculation is performed on signal data at a plurality of adjacent moments in the monitoring signal to obtain a plurality of monitoring difference signals; and health assessment information of the test bench is obtained according to the plurality of monitoring difference signals and respective weights corresponding to the plurality of sensors, where the weights are determined according to model parameters of a regression model, and the model parameters are obtained by training using historical monitoring signals of the test bench collected by the plurality of sensors.

[0122] According to the embodiments of the present disclosure, the system for monitoring the health of a rack can be applied to various types of racks and has strong versatility and scalability.

[0123] Figure 4 The schematic diagram of the installation position of the monitoring device according to the embodiment of the present disclosure is schematically shown.

[0124] like Figure 4 As shown, the monitoring device 110 is installed on the stand 10 .

[0125] The monitoring device 110 includes a vibration sensor 111, a stress sensor 112, and a temperature sensor 113. There may be a plurality of the vibration sensor 111, the stress sensor 112, and the temperature sensor 113.

[0126] The vibration sensor 111 is used to collect vibration signals of the platform.

[0127] The stress sensor 112 is used to collect stress signals of the test bench.

[0128] The temperature sensor 113 is used to collect the temperature signal of the test stand. The monitoring signals include vibration signals, stress signals and temperature signals.

[0129] The vibration sensor 111 , the stress sensor 112 and the temperature sensor 113 can be installed at appropriate locations and in appropriate quantities according to the structural characteristics and stress conditions of the platform.

[0130] Figure 5 A schematic diagram of a stress sensor according to an embodiment of the present disclosure is schematically shown.

[0131] like Figure 5 As shown, the stress sensor 112 can be a resistance strain gauge. The resistance strain gauge is composed of a strain patch 1121, a connecting line 1122 and a plug 1123. The plug 1123 is used to connect to a power source.

[0132] Resistance strain gauges can be installed at multiple locations on the test bench for distributed monitoring. By arranging multiple strain gauges at key locations, the stress and strain state of each part of the test bench can be fully monitored.

[0133] Figure 6 The structure block diagram of the health monitoring device of the bench according to the embodiment of the present disclosure is schematically shown.

[0134] like Figure 6 As shown, the health monitoring device 600 of the bench of this embodiment includes an acquisition module 610 , a difference calculation module 620 and an acquisition module 630 .

[0135] The acquisition module 610 is used to acquire the monitoring signal of the test bench from the monitoring device, the monitoring device is installed on the test bench, the test bench is used to perform performance testing on aviation mechanical equipment, and the monitoring device includes a variety of sensors. In one embodiment, the acquisition module 610 can be used to perform the operation S210 described above, which will not be repeated here.

[0136] The difference calculation module 620 is used to perform difference calculation on the signal data at multiple adjacent moments in the monitoring signal based on the time information of the monitoring signal to obtain multiple monitoring difference signals. In one embodiment, the difference calculation module 620 can be used to perform the operation S220 described above, which will not be repeated here.

[0137] The acquisition module 630 is used to obtain the health assessment information of the test bench according to the multiple monitoring difference signals and the weights corresponding to the multiple sensors, and the weights are determined according to the model parameters of the regression model, and the model parameters are trained using the historical monitoring signals of the test bench collected by the multiple sensors. In one embodiment, the acquisition module 630 can be used to perform the operation S230 described above, which will not be repeated here.

[0138] According to an embodiment of the present disclosure, the difference calculation module 620 includes a sampling submodule and a difference calculation submodule. The sampling submodule is used to sample the vibration signal, stress signal and temperature signal respectively based on a preset sampling frequency when the time information between the vibration signal, stress signal and temperature signal is different, so as to obtain a target vibration signal, a target stress signal and a target temperature signal; the difference calculation submodule is used to perform difference calculation on the signal data of multiple adjacent moments of the target vibration signal, the target stress signal and the target temperature signal, so as to obtain a monitoring difference signal.

[0139] According to an embodiment of the present disclosure, the difference calculation submodule further includes a Fourier transform unit and a difference calculation unit. The Fourier transform unit is used to perform Fourier transform on the target vibration signal to obtain a frequency domain vibration signal; the difference calculation unit is used to perform difference calculation on the signal data at adjacent moments in the frequency domain vibration signal to obtain a vibration difference signal, and the monitoring difference signal includes a vibration difference signal.

[0140] According to an embodiment of the present disclosure, the trigger signals of the vibration sensor, the stress sensor and the temperature sensor are the same signal.

[0141] According to an embodiment of the present disclosure, the acquisition module 630 includes a determination submodule, a calculation submodule and an acquisition submodule. The determination submodule is used to determine the monitoring difference subsignal from the monitoring difference signal using the sampling window; the calculation submodule is used to calculate the cumulative change value of the monitoring signal based on the time information of the monitoring difference subsignal and the sampling window; the acquisition submodule is used to obtain the health assessment information of the test bench according to the cumulative change value and the respective weights of the various sensors.

[0142] According to an embodiment of the present disclosure, the acquisition submodule includes a first calculation unit, a second calculation unit, a third calculation unit and a first determination unit. The first calculation unit is used to calculate the vibration health value according to the cumulative change value of the vibration difference sub-signal, the natural frequency of the test bench and the weight of the vibration sensor; the second calculation unit is used to calculate the stress health value according to the cumulative change value of the stress difference sub-signal, the allowable stress of the test bench and the weight of the stress sensor; the third calculation unit is used to calculate the temperature health value according to the cumulative change value of the temperature difference sub-signal and the weight of the temperature sensor; the determination unit is used to determine the health assessment information of the test bench according to the vibration health value, the stress health value and the temperature health value.

[0143] According to an embodiment of the present disclosure, the calculation submodule includes a second determination unit and an acquisition unit. The second determination unit is used to determine the vibration frequency domain sub-signal from the vibration frequency domain signal according to the time information of the sampling window; the acquisition unit is used to obtain the cumulative change value of the vibration signal according to the vibration frequency domain sub-signal and the vibration difference sub-signal.

[0144] According to an embodiment of the present disclosure, the device further includes a control module. The control module is used to control the rack to perform a parking operation in response to the health assessment information indicating that the rack is in an abnormal state.

[0145] According to an embodiment of the present disclosure, any multiple modules in the acquisition module 610, the difference calculation module 620 and the acquisition module 630 can be combined in one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the acquisition module 610, the difference calculation module 620 and the acquisition module 630 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in any appropriate combination of any of them. Alternatively, at least one of the acquisition module 610, the difference calculation module 620 and the acquisition module 630 can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0146] Figure 7 A block diagram of an electronic device suitable for implementing a health monitoring method for a bench according to an embodiment of the present disclosure is schematically shown.

[0147] like Figure 7As shown, the electronic device 700 according to an embodiment of the present disclosure includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage part 708 to a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include an onboard memory for caching purposes. The processor 701 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0148] In RAM 703, various programs and data required for the operation of electronic device 700 are stored. Processor 701, ROM 702 and RAM 703 are connected to each other via bus 704. Processor 701 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 702 and / or RAM 703. It should be noted that the program can also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0149] According to an embodiment of the present disclosure, the electronic device 700 may further include an input / output (I / O) interface 705, which is also connected to the bus 704. The electronic device 700 may further include one or more of the following components connected to the input / output (I / O) interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 708 including a hard disk, etc.; and a communication portion 709 including a network interface card such as a LAN card, a modem, etc. The communication portion 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output (I / O) interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed, so that a computer program read therefrom is installed into the storage portion 708 as needed.

[0150] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0151] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 702 and / or RAM 703 described above and / or one or more memories other than ROM 702 and RAM 703.

[0152] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the health monitoring method of the rack provided in the embodiment of the present disclosure.

[0153] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 701. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0154] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 709, and / or installed from the removable medium 711. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0155] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or installed from the removable medium 711. When the computer program is executed by the processor 701, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0156] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0157] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0158] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0159] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A health monitoring method for a test bench, characterized in that: The method comprises: Acquiring a monitoring signal of a test bench from a monitoring device, wherein the monitoring device is installed on the test bench, the test bench is used to perform performance testing on aviation mechanical equipment, and the monitoring device includes a plurality of sensors; Based on the time information of the monitoring signal, performing difference calculation on the signal data at multiple adjacent moments in the monitoring signal to obtain multiple monitoring difference signals; The health assessment information of the test bench is obtained based on the multiple monitoring difference signals and the weights corresponding to the multiple sensors. The weights are determined based on the model parameters of the regression model, and the model parameters are trained using the historical monitoring signals of the test bench collected by the multiple sensors.

2. The method according to claim 1, characterized in that The monitoring device includes a vibration sensor, a stress sensor and a temperature sensor, and the monitoring signal includes a vibration signal, a stress signal and a temperature signal; The step of performing difference calculation on signal data at multiple adjacent moments in the monitoring signal based on the time information of the monitoring signal to obtain multiple monitoring difference signals includes: In the case where time information among the vibration signal, the stress signal and the temperature signal is different, sampling the vibration signal, the stress signal and the temperature signal respectively based on a preset sampling frequency to obtain a target vibration signal, a target stress signal and a target temperature signal; The monitoring difference signal is obtained by performing difference calculation on the signal data of the target vibration signal, the target stress signal and the target temperature signal at multiple adjacent moments.

3. The method according to claim 2, characterized in that The performing difference calculation on the signal data of the target vibration signal, the target stress signal and the target temperature signal at a plurality of adjacent moments to obtain the monitoring difference signal further includes: Performing Fourier transform on the target vibration signal to obtain a frequency domain vibration signal; The signal data at adjacent moments in the frequency domain vibration signal are subjected to difference calculation to obtain a vibration difference signal, and the monitoring difference signal includes the vibration difference signal.

4. The method according to claim 3, characterized in that The trigger signals of the vibration sensor, the stress sensor and the temperature sensor are the same signal.

5. The method according to claim 3, characterized in that: The step of obtaining the health assessment information of the rack according to the plurality of monitoring difference signals and the weights corresponding to the plurality of sensors includes: Determining a monitoring difference sub-signal from the monitoring difference signal using a sampling window; Based on the monitoring difference sub-signal and the time information of the sampling window, the cumulative change value of the monitoring signal is calculated, The health assessment information of the rack is obtained according to the accumulated change value and the respective weights of the multiple sensors.

6. The method according to claim 5, characterized in that The monitoring difference sub-signals include a stress difference sub-signal, a temperature difference sub-signal and a vibration difference sub-signal; The step of obtaining the health assessment information of the rack according to the accumulated change value and the respective weights of the multiple sensors includes: Calculate a vibration health value according to the accumulated change value of the vibration difference sub-signal, the natural frequency of the platform and the weight of the vibration sensor; Calculate a stress health value according to the accumulated change value of the stress difference sub-signal, the allowable stress of the test bench and the weight of the stress sensor; Calculating a temperature health value according to the accumulated change value of the temperature difference sub-signal and the weight of the temperature sensor; The health assessment information of the test bench is determined according to the vibration health value, the stress health value and the temperature health value.

7. The method according to claim 6, characterized in that The step of calculating the cumulative change value of the monitoring signal based on the monitoring difference sub-signal and the time information of the sampling window includes: Determining a vibration frequency domain sub-signal from the vibration frequency domain signal according to the time information of the sampling window; The accumulated change value of the vibration signal is obtained according to the vibration frequency domain sub-signal and the vibration difference sub-signal.

8. The method according to claim 1, characterized in that The method further comprises: In response to the health assessment information indicating that the gantry is in an abnormal state, the gantry is controlled to perform a parking operation.

9. A system for monitoring the health of a test bench, characterized in that: The system comprises: A monitoring device, used for collecting monitoring signals of the stand, wherein the monitoring device is installed on the stand; A server, configured to execute the method according to any one of claims 1 to 8.

10. The system according to claim 9, characterized in that The monitoring device comprises: A vibration sensor, used for collecting vibration signals of the stand; A stress sensor, used for collecting stress signals of the test bench; The temperature sensor is used to collect the temperature signal of the test stand, and the monitoring signal includes a vibration signal, a stress signal and a temperature signal.

Images