A Lightweight Trailer Axle Fault Detection Method

Abstract

The present invention relates to the field of axle fault detection, and in particular to a method for detecting axle faults of lightweight trailers, including determining the eligibility of the lightweight trailer operating environment according to an operating environment evaluation value, determining the eligibility of the lightweight trailer axle state according to a sound vibration evaluation value or a comprehensive evaluation value; determining the degree of axle wear based on the condition that the lightweight trailer environment is unqualified; determining the degree of axle wear based on the condition that the lightweight trailer environment is unqualified; determining the eligibility of the judgment standard of the current detection based on the comparison result of the second wear degree of the axle and the second historical wear degree, determining the adjustment of the preset comprehensive evaluation value based on the comparison result of the ratio of the two and the preset ratio; determining the driving environment of the lightweight trailer based on the driving habit evaluation value of the lightweight trailer driver, and determining the adjustment method according to the relative difference between the driving habit evaluation value and the historical driving habit evaluation value. The present invention improves the detection efficiency of axle faults of lightweight trailers.

Description

Technical Field

[0001] The invention relates to the field of axle fault detection, and in particular to a method for detecting axle faults of a lightweight trailer. Background Art

[0002] With the development of modern transportation industry, trailers are an important tool for cargo transportation, and their safety and reliability are receiving more and more attention. As a key component for supporting and transmitting loads, the performance of trailer axles directly affects the safe operation of vehicles. In terms of trailer axle fault detection, traditional methods often rely on manual inspection and experience judgment, which is not only inefficient but also difficult to accurately detect potential faults.

[0003] Chinese patent application publication number: CN113592916A discloses a method and system for detecting axle faults of a sintering machine trolley, which includes: obtaining video frame images of the sintering machine trolley in the form of fixed interval frames; performing differential operation processing on two adjacent frames of the acquired sintering machine trolley images, and then performing corresponding image processing; using a deep learning target detection algorithm to locate and extract wheel area images of two adjacent frames of the sintering machine trolley images; comparing the difference between the pixel points of the wheel area images of two adjacent frames with the absolute value of the preset grayscale difference to determine whether the wheels of the sintering machine trolley swing. However, the following problems exist in the prior art:

[0004] This method has a low detection accuracy rate for lightweight trailer axle faults, which leads to the problem of low detection efficiency for lightweight trailer axle faults. Summary of the invention

[0005] To this end, the present invention provides a method for detecting axle faults of lightweight trailers, so as to overcome the problem of low efficiency in detecting axle faults of lightweight trailers in the prior art.

[0006] To achieve the above object, the present invention provides a method for detecting axle faults of a lightweight trailer, comprising:

[0007] Step S1, determining the eligibility of the external operating environment of the lightweight trailer according to the operating environment evaluation value, and determining the eligibility of the axle wear of the lightweight trailer according to the sound vibration evaluation value when the axle of the lightweight trailer rotates or the comprehensive evaluation value composed of the sound vibration frequency when the axle of the lightweight trailer rotates and the regional distribution ratio of the thermal imaging;

[0008] Step S2, under the condition that the axle wear degree is unqualified, determining the first axle wear degree evaluation value or the second axle wear degree evaluation value according to the ratio of the sound vibration evaluation value to the preset sound vibration evaluation value or the ratio of the comprehensive evaluation value to the preset comprehensive evaluation value;

[0009] Step S3, determining the eligibility of the judgment standard in the current detection process based on the comparison result of the first wear degree evaluation value of the axle with the first historical wear degree evaluation value, and determining to adjust the preset vibration evaluation value according to the comparison result of the ratio of the first wear degree evaluation value of the axle to the first historical wear degree evaluation value and the preset ratio;

[0010] Step S4, determining the eligibility of the judgment standard in the current detection process based on the comparison result of the second wear degree of the axle with the second historical wear degree, and adjusting the preset comprehensive evaluation value according to the comparison result of the ratio of the second wear degree of the axle to the second historical wear degree and the preset ratio;

[0011] Step S5, based on the driving habit evaluation value of the lightweight trailer driver, determining the driving environment of the lightweight trailer, and determining the adjustment method according to the relative difference between the driving habit evaluation value and the historical driving habit evaluation value.

[0012] Further, under the condition that the operating environment evaluation value is less than or equal to the preset operating environment evaluation value, the axle wear degree is determined to be unqualified according to the comparison result that the sound vibration evaluation value is greater than the preset sound vibration evaluation value.

[0013] Further, under the condition that the axle wear level is unqualified, it is determined that the wear level standard in the current detection process is unqualified based on the comparison result that the first axle wear level evaluation value is less than or equal to the first historical wear level evaluation value.

[0014] Furthermore, under the condition that the current detection and judgment wear degree standard is unqualified, the preset vibration evaluation value is increased by the vibration adjustment coefficient based on the comparison result that the ratio of the first wear degree evaluation value of the axle to the first historical wear degree evaluation value is less than or equal to the preset ratio.

[0015] Further, under the condition that the operating environment evaluation value is greater than the preset operating environment evaluation value, the axle wear degree is determined to be unqualified according to the comparison result that the comprehensive evaluation value is less than or equal to the preset comprehensive evaluation value.

[0016] Further, under the condition that the axle wear level is unqualified, it is determined that the wear level standard in the current detection process is unqualified based on the comparison result that the second axle wear level evaluation value is less than or equal to the second historical wear level evaluation value.

[0017] Furthermore, under the condition that the wear degree standard is determined to be unqualified during the current detection process, the preset comprehensive evaluation value is increased by the comprehensive adjustment coefficient based on the comparison result that the ratio of the second wear degree evaluation value of the axle to the second historical wear degree evaluation value is less than or equal to the preset ratio.

[0018] Further, under the condition that the driving habit evaluation value is less than or equal to the historical driving habit evaluation value, the frequency of collecting sound vibration frequency data is increased according to the comparison result that the relative difference of the historical driving habit evaluation value is less than or equal to the first preset relative difference.

[0019] Further, under the condition that the driving habit evaluation value is less than or equal to the historical driving habit evaluation value, it is determined to increase the acquisition frequency of the thermal imaging area distribution data according to the comparison result that the relative difference of the historical driving habit evaluation value is greater than the first preset relative difference.

[0020] Furthermore, under the condition that the driving habit evaluation value is greater than the historical driving habit evaluation value, the frequency of collecting sound vibration frequency data is increased according to the comparison result that the relative difference between the driving habit evaluation value and the historical driving habit evaluation value is less than or equal to the second preset relative difference.

[0021] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention determines whether the current external operating environment of the trailer is stable by comparing the operating environment evaluation value with the preset operating environment evaluation value, and then on the basis of confirming that the environment is qualified, further evaluates the wear degree of the axle through the sound vibration evaluation value, thereby improving the detection of the axle status, thereby improving the detection efficiency of the lightweight trailer axle fault.

[0022] Furthermore, the present invention determines the eligibility of the wear degree detection standard by comparing the axle wear degree evaluation value with the historical wear degree evaluation value. If the detection standard is unqualified, it is determined whether the preset vibration evaluation value needs to be adjusted based on the comparison result of the ratio of the wear degree evaluation value and the preset ratio. By dynamically adjusting the preset vibration evaluation value in combination with the historical wear data, the wear degree evaluation standard is made more in line with the actual use of the vehicle, the accuracy of the evaluation is improved, and thus the detection efficiency of the axle fault is improved.

[0023] Furthermore, specifically, the present invention determines the conformity of the axle wear degree by comprehensively evaluating the sound vibration frequency and the distribution ratio of the thermal imaging area when the axle of the lightweight trailer rotates under the condition that the external operating environment is unqualified, thereby improving the accuracy and efficiency of the evaluation.

[0024] Furthermore, the present invention determines the wear degree of the axle of the lightweight trailer. When the wear degree is determined to be unqualified, the strategy of deciding whether to adjust the preset comprehensive evaluation value is determined by comparing the ratio of the current wear degree to the historical wear degree. This operation can more accurately determine the acceptability of the axle wear degree.

[0025] Furthermore, the present invention determines the vehicle driving environment through the driving habit evaluation value of the lightweight trailer driver. After determining that the vehicle is driving in an unstable environment, the relative difference between the historical driving habit evaluation value and the current driving habit evaluation value is further analyzed to determine the adjustment strategy, thereby improving the accurate detection of the vehicle's operating status, thereby improving the detection efficiency of lightweight trailer axle faults.

[0026] Furthermore, the present invention adopts a strategy of adjusting the sound vibration frequency and the thermal imaging area distribution data acquisition frequency according to the change amplitude of the driving habit evaluation value. By fine-tuning the data acquisition frequency, it helps to discover potential problems in advance, improves the accuracy of detection, and thus improves the efficiency of fault detection.

[0027] Furthermore, the present invention can more accurately detect vehicle performance changes by determining that the lightweight trailer is traveling in a stable environment and then dynamically adjusting the sound vibration frequency data collection frequency according to the relative changes in the driving habit evaluation value, thereby improving the efficiency of lightweight trailer axle fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a flow chart of a lightweight trailer axle fault detection method according to an embodiment of the present invention;

[0029] Figure 2 A flow chart for determining eligibility of an external operating environment for an embodiment of the present invention;

[0030] Figure 3 A flow chart for determining the eligibility of axle wear degree according to an embodiment of the present invention;

[0031] Figure 4 A flow chart for determining the eligibility of the current detection and determination standard for the degree of wear according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0033] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0034] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0035] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0036] See also Figure 1 - Figure 4 As shown, Figure 1 This is a flow chart of a lightweight trailer axle fault detection method according to an embodiment of the present invention; Figure 2 A flow chart for determining eligibility of an external operating environment for an embodiment of the present invention; Figure 3 A flow chart for determining the eligibility of axle wear degree according to an embodiment of the present invention; Figure 4 A flow chart for determining the eligibility of the current detection and determination standard for the degree of wear according to an embodiment of the present invention.

[0037] The lightweight trailer axle fault detection method according to the embodiment of the present invention comprises:

[0038] Step S1, determining the eligibility of the external operating environment of the lightweight trailer according to the operating environment evaluation value, and determining the eligibility of the axle wear of the lightweight trailer according to the sound vibration evaluation value when the axle of the lightweight trailer rotates or the comprehensive evaluation value composed of the sound vibration frequency when the axle of the lightweight trailer rotates and the regional distribution ratio of the thermal imaging;

[0039] Step S2, under the condition that the axle wear degree is unqualified, determining the first axle wear degree evaluation value or the second axle wear degree evaluation value according to the ratio of the sound vibration evaluation value to the preset sound vibration evaluation value or the ratio of the comprehensive evaluation value to the preset comprehensive evaluation value;

[0040] Step S3, determining the eligibility of the judgment standard in the current detection process based on the comparison result of the first wear degree evaluation value of the axle with the first historical wear degree evaluation value, and determining to adjust the preset vibration evaluation value according to the comparison result of the ratio of the first wear degree evaluation value of the axle to the first historical wear degree evaluation value and the preset ratio;

[0041] Step S4, determining the eligibility of the judgment standard in the current detection process based on the comparison result of the second wear degree of the axle with the second historical wear degree, and adjusting the preset comprehensive evaluation value according to the comparison result of the ratio of the second wear degree of the axle to the second historical wear degree and the preset ratio;

[0042] Step S5, based on the driving habit evaluation value of the lightweight trailer driver, determining the driving environment of the lightweight trailer, and determining the adjustment method according to the relative difference between the driving habit evaluation value and the historical driving habit evaluation value.

[0043] Specifically, the embodiment of the present invention determines the eligibility of the external operating environment based on the comparison result between the lightweight trailer operating environment evaluation value and the preset operating environment evaluation value of 0.86;

[0044] When the operating environment evaluation value is less than or equal to the preset operating environment evaluation value, it is determined that the external operating environment is qualified and the lightweight trailer is operating in a stable environment;

[0045] When the operating environment evaluation value is greater than the preset operating environment evaluation value, it is determined that the external operating environment is unqualified and the lightweight trailer is operating in a bumpy environment.

[0046] In an embodiment of the present invention, the preset operating environment evaluation value is 0.86. The preset operating environment evaluation value is obtained by taking the average value of several historical operating environment evaluation values ​​when the external operating environment is qualified. However, the above value is not limited to this. Technical personnel in this field can also adjust the value according to actual needs.

[0047] Specifically, the embodiment of the present invention calculates the operating environment evaluation value according to the following formula, setting:

[0048] ,

[0049] Among them, E represents the operating environment evaluation value, V i0 represents the speed of the lightweight trailer at the i-th braking, V i represents the speed of the lightweight trailer at the end of the i-th braking, T i Indicates the braking time, Δδ i represents the change in the i-th steering angle of the lightweight trailer, Δt i represents the time interval of the i-th turn, V represents the average speed of the lightweight trailer over a period of time, V max Indicates the maximum speed of the lightweight trailer within a period of time, V min Indicates the minimum value of the lightweight trailer's travel speed over a period of time.

[0050] Specifically, under the condition that the external operating environment is determined to be qualified, the embodiment of the present invention determines the qualification of the axle wear degree according to the comparison result of the sound vibration evaluation value when the lightweight trailer axle rotates and the preset sound vibration evaluation value;

[0051] When the sound vibration evaluation value is less than or equal to the preset sound vibration evaluation value, it is determined that the axle wear degree is qualified;

[0052] When the sound vibration evaluation value is greater than the preset sound vibration evaluation value, it is determined that the axle wear degree is unqualified.

[0053] In the embodiment of the present invention, the preset sound vibration evaluation value is 0.9, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0054] Specifically, the embodiment of the present invention calculates the sound vibration evaluation value according to the following formula, setting:

[0055] ;

[0056] Where P represents the sound vibration evaluation value, n represents the number of vibration frequency characteristics, ω k represents the weight of the kth vibration frequency feature, f k represents the value of the kth vibration frequency characteristic under the current driving state, f k0 Represents the value of the kth vibration frequency characteristic of the axle in normal state.

[0057] Specifically, the present invention determines whether the current external operating environment of the trailer is stable by comparing the operating environment evaluation value with the preset operating environment evaluation value, and then further evaluates the wear degree of the axle through the sound vibration evaluation value on the basis of confirming that the environment is qualified, thereby improving the detection of the axle status and thus improving the detection efficiency of the lightweight trailer axle fault.

[0058] Specifically, under the condition that the wear degree of the axle is determined to be unqualified, the embodiment of the present invention determines the first wear degree evaluation value of the axle according to the ratio of the sound vibration evaluation value to the preset sound vibration evaluation value.

[0059] Specifically, under the condition of determining the first wear degree evaluation value of the axle, the embodiment of the present invention determines the eligibility of the current detection and determination wear degree standard according to the comparison result of the first wear degree evaluation value of the axle and the first historical wear degree evaluation value 0.89;

[0060] When the first wear degree evaluation value of the axle is less than or equal to the first historical wear degree evaluation value, it is determined that the current detection and determination wear degree standard is unqualified;

[0061] When the first wear degree evaluation value of the axle is greater than the first historical wear degree evaluation value, it is determined that the current detection and determination wear degree standard is qualified.

[0062] In the embodiment of the present invention, the historical wear degree evaluation value is 0.89, and the historical wear degree evaluation value is obtained by taking the average of the first wear degree evaluation values ​​of several historical axles that have passed the wear degree standard. However, the above value is not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0063] Specifically, under the condition that the current detection and determination wear degree standard is determined to be unqualified, the embodiment of the present invention determines to adjust the preset vibration evaluation value according to the comparison result of the ratio of the first wear degree evaluation value of the axle to the first historical wear degree evaluation value and the preset ratio 0.74;

[0064] When the ratio is less than or equal to the preset ratio, it is determined to increase the preset vibration evaluation value to a corresponding value by the vibration adjustment coefficient;

[0065] When the ratio is greater than the preset ratio, determining not to adjust the preset vibration evaluation value;

[0066] The ratio is the ratio of the first wear degree evaluation value of the axle to the first historical wear degree evaluation value.

[0067] In the embodiment of the present invention, the preset ratio is 0.74, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0068] Specifically, the embodiment of the present invention determines the vibration adjustment coefficient Y1 according to the difference between the ratio and the preset ratio.

[0069] In the embodiment of the present invention, the increased preset vibration evaluation value is set as Pz, and Pz=P0×Y1 is set, wherein P0 represents the preset vibration evaluation value, and Y1 represents the vibration adjustment coefficient.

[0070] Specifically, the embodiment of the present invention calculates the vibration adjustment coefficient according to the following formula, setting:

[0071] ;

[0072] Among them, Y1 represents the vibration adjustment coefficient, ΔE represents the ratio, and ΔE0 represents the preset ratio.

[0073] Specifically, the present invention determines the eligibility of the wear degree detection standard by comparing the axle wear degree evaluation value with the historical wear degree evaluation value. If the detection standard is unqualified, it is determined whether the preset vibration evaluation value needs to be adjusted based on the comparison result of the ratio of the wear degree evaluation value and the preset ratio. By dynamically adjusting the preset vibration evaluation value in combination with the historical wear data, the wear degree evaluation standard is made more in line with the actual use of the vehicle, the accuracy of the evaluation is improved, and thus the detection efficiency of the axle fault is improved.

[0074] Specifically, under the condition that the external operating environment is determined to be unqualified, the embodiment of the present invention determines the eligibility of the axle wear degree according to the comparison result of the comprehensive evaluation value composed of the sound vibration frequency when the lightweight trailer axle rotates and the regional distribution ratio of the thermal imaging and the preset comprehensive evaluation value of 0.85;

[0075] When the comprehensive evaluation value is less than or equal to the preset comprehensive evaluation value, it is determined that the axle wear degree is unqualified;

[0076] When the comprehensive evaluation value is greater than the preset comprehensive evaluation value, it is determined that the axle wear degree is qualified.

[0077] In the embodiment of the present invention, the preset comprehensive evaluation value is 0.85. The preset comprehensive evaluation value is obtained by taking the average value of several historical comprehensive evaluation values ​​when the external operating environment is qualified. However, the above value is not limited to this. Technical personnel in this field can also adjust the value according to actual needs.

[0078] Specifically, the embodiment of the present invention calculates the comprehensive evaluation value according to the following formula, setting:

[0079] ;

[0080] Where Q represents the comprehensive evaluation value, f represents the sound vibration frequency when the lightweight trailer axle fails, and f max Indicates the maximum value of the axle sound vibration frequency during the lightweight trailer driving process, f min It represents the minimum value of the sound vibration frequency of the axle of the lightweight trailer during driving, A0 represents the thermal imaging area when the axle of the lightweight trailer fails, and A represents the thermal imaging area of ​​the axle of the lightweight trailer.

[0081] Specifically, the present invention determines the conformity of the axle wear degree by comprehensively evaluating the sound vibration frequency and the distribution ratio of the thermal imaging area when the axle of the lightweight trailer rotates under the condition that the external operating environment is unqualified, thereby improving the accuracy and efficiency of the evaluation.

[0082] Specifically, under the condition that the wear degree of the axle is determined to be unqualified, the embodiment of the present invention determines the second wear degree evaluation value of the axle according to the ratio of the comprehensive evaluation value to the preset comprehensive evaluation value.

[0083] Specifically, under the condition of determining the second wear degree evaluation value of the axle, the embodiment of the present invention determines the eligibility of the current detection and determination wear degree standard according to the comparison result of the second wear degree evaluation value of the axle and the second historical wear degree evaluation value 0.82;

[0084] When the second wear degree evaluation value of the axle is less than or equal to the second historical wear degree evaluation value, it is determined that the current detection and determination wear degree standard is unqualified;

[0085] When the second wear degree evaluation value of the axle is greater than the second historical wear degree evaluation value, it is determined that the current detection and determination wear degree standard is qualified.

[0086] In the embodiment of the present invention, the second historical wear degree evaluation value is 0.82. The historical wear degree evaluation value is obtained by taking the average of the second wear degree evaluation values ​​of several historical axles that have passed the wear degree standard. However, the above value is not limited to this. Technical personnel in this field can also adjust the value according to actual needs.

[0087] Specifically, under the condition that the current detection and determination wear degree standard is determined to be unqualified, the embodiment of the present invention determines to adjust the preset vibration evaluation value according to the comparison result of the ratio of the second wear degree evaluation value of the axle to the second historical wear degree evaluation value and the preset ratio 0.7;

[0088] When the ratio is less than or equal to the preset ratio, it is determined to increase the preset comprehensive evaluation value to a corresponding value by the comprehensive adjustment coefficient;

[0089] When the ratio is greater than the preset ratio, it is determined that the preset comprehensive evaluation value is not adjusted;

[0090] The ratio is the ratio of the second wear degree evaluation value of the axle to the second historical wear degree evaluation value.

[0091] In the embodiment of the present invention, the preset ratio is 0.7, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0092] Specifically, the embodiment of the present invention determines the comprehensive adjustment coefficient L1 according to the difference between the ratio and the preset ratio.

[0093] In the embodiment of the present invention, the increased preset comprehensive evaluation value is set as Qz, and Qz=Q0×L1 is set, wherein Q0 represents the preset comprehensive evaluation value, and L1 represents the comprehensive adjustment coefficient.

[0094] Specifically, the embodiment of the present invention calculates the comprehensive adjustment coefficient according to the following formula and sets:

[0095] ;

[0096] Wherein, L1 represents the comprehensive adjustment coefficient, ΔD represents the ratio, and ΔD0 represents the preset ratio.

[0097] Specifically, the present invention determines the degree of wear of the axle of the lightweight trailer. When the wear degree is determined to be unqualified, the strategy of deciding whether to adjust the preset comprehensive evaluation value is determined by comparing the ratio of the current wear degree to the historical wear degree. This operation can more accurately determine the acceptability of the axle wear degree.

[0098] Specifically, the embodiment of the present invention determines the driving environment of the lightweight trailer according to the comparison result of the driving habit evaluation value of the lightweight trailer driver and the historical driving habit evaluation value;

[0099] When the driving habit evaluation value is less than or equal to the historical driving habit evaluation value, it is determined that the lightweight trailer is driving in an unstable environment such as uphill, downhill or bumpy;

[0100] When the driving habit evaluation value is greater than the historical driving habit evaluation value, it is determined that the lightweight trailer is traveling in a stable environment.

[0101] In the embodiment of the present invention, the historical driving habit evaluation value is 0.78, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0102] Specifically, the embodiment of the present invention calculates the driving habit evaluation value according to the following formula, setting:

[0103] ;

[0104] Among them, B represents the driving habit evaluation value, n i represents the speed of the tachometer detected for the i-th time, n max Indicates the maximum speed of the tachometer, n min represents the minimum speed of the tachometer, c represents the degree of clutch engagement, t c It indicates the time of clutch engagement, and n indicates the number of times the tachometer is detected.

[0105] Specifically, under the condition that the lightweight trailer is determined to be traveling in an unstable environment such as uphill, downhill or bumpy, the embodiment of the present invention determines to adjust the data frequency of the collected sound vibration frequency and the thermal imaging area distribution according to the comparison result of the relative difference between the historical driving habit evaluation value and the driving habit evaluation value and the first preset relative difference of 0.2;

[0106] When the relative difference is less than or equal to the first preset relative difference, it is determined to increase the frequency of collecting sound vibration frequency data;

[0107] When the relative difference is greater than a first preset relative difference, determining to increase the acquisition frequency of the thermal imaging area distribution data;

[0108] The relative difference is the relative difference between the historical driving habit evaluation value and the driving habit evaluation value.

[0109] Specifically, the present invention determines the vehicle driving environment through the driving habit evaluation value of the lightweight trailer driver. After determining that the vehicle is driving in an unstable environment, the relative difference between the historical driving habit evaluation value and the current driving habit evaluation value is further analyzed to determine the adjustment strategy, thereby improving the accurate detection of the vehicle's operating status, thereby improving the detection efficiency of lightweight trailer axle faults.

[0110] Specifically, under the condition of determining to increase the acquisition frequency of the sound vibration frequency data, the embodiment of the present invention determines to increase the acquisition frequency of the sound vibration frequency data according to the comparison result of the first preset relative difference and the difference between the relative difference and the first preset difference value of 0.1;

[0111] When the difference is less than or equal to the first preset difference, it is determined to increase the acquisition frequency of the sound vibration frequency data to a corresponding value by using the first preset vibration frequency adjustment coefficient of 1.03;

[0112] When the difference is greater than the first preset difference, it is determined that the acquisition frequency of the sound vibration frequency data is increased to a corresponding value by using a second preset vibration frequency adjustment coefficient of 1.07;

[0113] The difference is the difference between the preset relative difference and the preset relative difference.

[0114] In an embodiment of the present invention, the collection frequency of the increased sound vibration frequency data is set to Mz, and Mz=M×Ki is set, wherein M represents the collection frequency of the sound vibration frequency data, Ki represents the i-th preset vibration frequency adjustment coefficient, i takes a value of 1 or 2, K1 is the first preset vibration frequency adjustment coefficient, and K2 is the second preset vibration frequency adjustment coefficient.

[0115] Specifically, under the condition of determining to increase the acquisition frequency of the thermal imaging area distribution data, the embodiment of the present invention determines to increase the acquisition frequency of the thermal imaging area distribution data according to the comparison result of the difference between the relative difference and the first preset relative difference and the second preset difference of 0.07;

[0116] When the difference is less than or equal to the second preset difference, it is determined to increase the acquisition frequency of the thermal imaging area distribution data to a corresponding value by using the first preset thermal imaging adjustment coefficient of 1.05;

[0117] When the difference is greater than the second preset difference, it is determined to increase the acquisition frequency of the thermal imaging area distribution data to a corresponding value using the second preset thermal imaging adjustment coefficient of 1.09;

[0118] The difference is the difference between the relative difference and a preset relative difference.

[0119] In an embodiment of the present invention, the acquisition frequency of the increased thermal imaging area distribution data is set to Nz, and Nz=N×Kj is set, wherein N represents the acquisition frequency of the thermal imaging area distribution data, Kj represents the jth preset thermal imaging adjustment coefficient, j takes a value of 1 or 2, K1 is the first preset thermal imaging adjustment coefficient, and K2 is the second preset thermal imaging adjustment coefficient.

[0120] Specifically, the present invention adopts a strategy of adjusting the sound vibration frequency and the thermal imaging area distribution data acquisition frequency according to the change amplitude of the driving habit evaluation value. By fine-tuning the data acquisition frequency, it helps to discover potential problems in advance, improves the accuracy of detection, and thus improves the efficiency of fault detection.

[0121] Specifically, the embodiment of the present invention determines that the acquisition frequency of the sound vibration frequency data is adjusted according to the comparison result of the relative difference between the driving habit evaluation value and the historical driving habit evaluation value and the second preset relative difference of 0.25 under the condition that the lightweight trailer is traveling in a stable environment;

[0122] When the relative difference is less than or equal to a second preset relative difference, it is determined to increase the frequency of collecting sound vibration frequency data;

[0123] When the relative difference is greater than the second preset relative difference, it is determined that there is no need to adjust the acquisition frequency of the sound vibration frequency data;

[0124] The relative difference is the relative difference between the driving habit evaluation value and the historical driving habit evaluation value.

[0125] Specifically, under the condition of determining to increase the acquisition frequency of the sound vibration frequency data, the embodiment of the present invention determines to increase the acquisition frequency of the sound vibration frequency data according to the comparison result of the difference between the relative difference and the second preset relative difference and the third preset difference of 0.15;

[0126] When the difference is less than or equal to the third preset difference, it is determined to increase the acquisition frequency of the sound vibration frequency data to a corresponding value using the first preset acquisition adjustment coefficient of 1.04;

[0127] When the difference is greater than the third preset difference, it is determined that the acquisition frequency of the sound vibration frequency data is increased to a corresponding value by using the second preset acquisition adjustment coefficient of 1.08;

[0128] The difference is the difference between the relative difference and a preset relative difference.

[0129] In an embodiment of the present invention, the collection frequency of the increased sound vibration frequency data is set to Mc, and Mc=M×Ki is set, wherein M represents the collection frequency of the sound vibration frequency data, Ki represents the i-th preset collection adjustment coefficient, i takes a value of 1 or 2, K1 is the first preset collection adjustment coefficient, and K2 is the second preset collection adjustment coefficient.

[0130] Specifically, the present invention determines that after the lightweight trailer is traveling in a stable environment, a strategy of dynamically adjusting the sound vibration frequency data collection frequency is adopted according to the relative change of the driving habit evaluation value. This can more accurately detect the performance changes of the vehicle, thereby improving the efficiency of lightweight trailer axle fault detection.

[0131] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 fall within the protection scope of the present invention.

[0132] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for detecting axle faults of lightweight trailers, characterized in that: include: Step S1, determining that the external operating environment of the lightweight trailer is qualified according to the comparison result that the operating environment evaluation value is less than or equal to the preset operating environment evaluation value; The operating environment evaluation value is calculated according to the following formula and set: ， Where E represents the operating environment evaluation value, V i0 represents the speed of the lightweight trailer at the i-th braking, V i represents the speed of the lightweight trailer at the end of the i-th braking, T i Indicates the braking time, Δδ i represents the change in the i-th steering angle of the lightweight trailer, Δt i represents the time interval of the i-th turn, V represents the average speed of the lightweight trailer over a period of time, V max Indicates the maximum speed of the lightweight trailer within a period of time, V min Indicates the minimum value of the lightweight trailer's travel speed over a period of time; And under the condition that the external operating environment is determined to be qualified, the axle wear degree is determined to be unqualified according to the comparison result that the sound vibration evaluation value is greater than the preset sound vibration evaluation value; The sound vibration evaluation value is calculated according to the following formula, set: ， Where P represents the sound vibration evaluation value, n represents the number of vibration frequency characteristics, ω k represents the weight of the kth vibration frequency feature, f k represents the value of the kth vibration frequency characteristic under the current driving state, f k0 represents the value of the kth vibration frequency characteristic of the axle in normal state; Or the external operating environment is determined to be unqualified based on the comparison result that the operating environment evaluation value is greater than the preset operating environment evaluation value, and under the condition that the external operating environment is determined to be unqualified, the wear degree of the lightweight trailer axle is determined to be unqualified based on the comparison result that the comprehensive evaluation value composed of the sound vibration frequency when the lightweight trailer axle rotates and the regional distribution ratio of the thermal imaging is less than or equal to the preset comprehensive evaluation value; The comprehensive evaluation value is calculated according to the following formula, and is set: ， Where Q represents the comprehensive evaluation value, f represents the sound vibration frequency when the lightweight trailer axle fails, and f max Indicates the maximum value of the axle sound vibration frequency during the lightweight trailer driving process, f min It represents the minimum value of the sound vibration frequency of the axle of the lightweight trailer during driving, A0 represents the area of ​​thermal imaging when the axle of the lightweight trailer fails, and A represents the area of ​​thermal imaging of the axle of the lightweight trailer; Step S2, under the condition that the axle wear degree is unqualified, determining the first axle wear degree evaluation value according to the ratio of the sound vibration evaluation value to the preset sound vibration evaluation value or determining the second axle wear degree evaluation value according to the ratio of the comprehensive evaluation value to the preset comprehensive evaluation value; Step S3, based on the comparison result that the first wear degree evaluation value of the axle is less than or equal to the first historical wear degree evaluation value, it is determined that the wear degree standard in the current detection process is unqualified, and under the condition that the wear degree standard in the current detection is unqualified, according to the comparison result that the ratio of the first wear degree evaluation value of the axle to the first historical wear degree evaluation value is less than or equal to the preset ratio, it is determined that the preset vibration evaluation value is increased by the vibration adjustment coefficient, or, based on the comparison result that the second wear degree evaluation value of the axle is less than or equal to the second historical wear degree evaluation value, it is determined that the wear degree standard in the current detection process is unqualified, and according to the comparison result that the ratio of the second wear degree evaluation value of the axle to the second historical wear degree evaluation value is less than or equal to the preset ratio, it is determined that the preset comprehensive evaluation value is increased by the comprehensive adjustment coefficient; Step S4, under the condition that the driving habit evaluation value is less than or equal to the historical driving habit evaluation value; The driving habit evaluation value is calculated according to the following formula, set: ， Among them, B represents the driving habit evaluation value, n i represents the speed of the tachometer detected for the i-th time, n max Indicates the maximum speed of the tachometer, n min represents the minimum speed of the tachometer, c represents the degree of clutch engagement, t c represents the time of clutch engagement, n represents the number of times the tachometer is checked; Determining to increase the frequency of collecting sound vibration frequency data according to a comparison result that the relative difference of the historical driving habit evaluation value is less than or equal to the first preset relative difference; Under the condition that the driving habit evaluation value is less than or equal to the historical driving habit evaluation value, determining to increase the frequency of collecting the thermal imaging area distribution data according to the comparison result that the relative difference of the historical driving habit evaluation value is greater than the first preset relative difference; Under the condition that the driving habit evaluation value is greater than the historical driving habit evaluation value, the frequency of collecting sound vibration frequency data is increased according to the comparison result that the relative difference between the driving habit evaluation value and the historical driving habit evaluation value is less than or equal to the second preset relative difference.

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