Hose falling risk determination method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of data analysis and detection, and discloses a hose falling risk determination method and device, computer equipment and a storage medium, the method comprises the following steps: controlling a vehicle to run on a preset road surface condition, and detecting the vibration condition of a pump body through a first acceleration sensor to obtain first vibration time sequence data; detecting the vibration condition of the hose through a second acceleration sensor to obtain second vibration time sequence data; analyzing the first vibration time sequence data to obtain first vibration displacement data of the pump body at the air port; analyzing the second vibration time sequence data to obtain second vibration displacement data of the hose at the air port; and displaying the vibration difference condition between the hose at the air port and the pump body on the vibration difference display interface so as to determine the risk that the hose falls off from the air port. Therefore, the method for predicting the falling risk of the hose of the pump equipment is realized, and the reliability and the safety of an automobile braking system are further improved.

Description

Technical Field

[0001] The present application relates to the field of data analysis and detection technology, and in particular to a method, device, computer equipment and storage medium for determining the risk of hose falling off. Background Art

[0002] Pump equipment is a kind of mechanical equipment widely used in various industrial and civil fields. Especially in the automotive industry, the vacuum pump is one of the key components, mainly used in the brake assist system to provide the driver with auxiliary braking force and improve driving comfort and safety. However, the stability of the vacuum pump hose connection is an issue that cannot be ignored. If the hose connection is unstable, it may cause the performance of the braking system to decline, affecting the handling and safety of the vehicle. In particular, the hose may fall off when it shakes too much, resulting in a decline in braking performance or even loss of braking function, increasing the risk of traffic accidents and endangering the lives of drivers and passengers. However, in the relevant technology, the connectivity detection of the hose of pump equipment mostly adopts manual inspection, which is not only time-consuming and labor-intensive, but also has lags. There is a lack of a method that can accurately analyze and predict the risk of hose falling off of pump equipment. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the present application proposes a method, device, computer equipment and storage medium for determining the risk of hose falling off. The main technical solutions adopted by the present application include:

[0004] In the first aspect, an embodiment of the present application provides a method for determining the risk of hose falling off, which is applied to a pump device on a vehicle, wherein the pump device comprises a pump body and a hose, wherein the pump body is provided with an air port, the air port is connected to the hose, a first acceleration sensor is arranged at a position of the pump body near the air port, and a second acceleration sensor is arranged at a position of the hose near the air port. The method comprises:

[0005] The vehicle is controlled to travel under preset road conditions, and the vibration of the pump body is detected by a first acceleration sensor to obtain first vibration time series data; the vibration of the hose is detected by a second acceleration sensor to obtain second vibration time series data;

[0006] The first vibration time series data is analyzed to obtain the first vibration displacement data of the pump body at the air port; the second vibration time series data is analyzed to obtain the second vibration displacement data of the hose at the air port;

[0007] The vibration difference display interface displays the vibration difference between the hose and the pump body at the gas port to determine the risk of the hose falling off the gas port. The vibration difference is used to characterize the change of the vibration difference between the hose and the pump body at the gas port over time, and the vibration difference is determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0008] Optionally, the method also includes: if there is a vibration abnormality risk period that exceeds the allowable difference threshold in the duration corresponding to the vibration difference situation, in response to the frequency domain spectrum viewing operation occurring in the vibration difference display interface, a vibration waterfall chart and / or a vibration power spectrum density chart is displayed to determine the cause of the vibration abnormality in the vibration abnormality risk period.

[0009] Optionally, the method also includes: if there is a vibration abnormality risk period that exceeds the allowable difference threshold in the duration corresponding to the vibration difference situation, in response to a detail viewing operation for the vibration abnormality risk period, a first vibration displacement curve of the pump body during the vibration abnormality risk period and a second vibration displacement curve of the hose during the vibration abnormality risk period are displayed to show the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0010] Optionally, the preset road condition includes a plurality of designated road conditions, and different designated road conditions correspond to different time periods. The method further includes: if the difference between the vibration frequency corresponding to the vibration abnormality risk period and the operating frequency of the vehicle powertrain exceeds a preset frequency threshold, determining the target road condition of the vehicle in the vibration abnormality risk period from the plurality of designated road conditions, and determining the cause of the vibration abnormality as the target road condition.

[0011] Optionally, the method further includes: if the vibration frequency corresponding to the vibration abnormality risk period is consistent with the operating frequency of the vehicle powertrain, determining that the cause of the vibration abnormality is the vehicle powertrain.

[0012] Optionally, the analysis method of the first vibration time series data is the same as the analysis method of the second vibration time series data. The first vibration time series data is analyzed to obtain the first vibration displacement data of the pump body at the air port, including: denoising the first vibration time series data to obtain denoised vibration time series data; and performing secondary integration based on the denoised vibration time series data to obtain the first vibration displacement data.

[0013] Optionally, the first vibration time series data is denoised to obtain denoised vibration time series data, including: eliminating trend items and smoothing the first vibration time series data to obtain intermediate vibration time series data; removing the DC component of the intermediate vibration time series data to obtain denoised vibration time series data.

[0014] In the second aspect, the embodiment of the present application provides a hose falling risk determination device, which is applied to pump equipment on a vehicle, the pump equipment includes a pump body and a hose, the pump body is provided with an air port, the air port is connected to the hose, a first acceleration sensor is arranged at a position of the pump body near the air port, and a second acceleration sensor is arranged at a position of the hose near the air port. The device includes:

[0015] The timing data determination module is used to control the vehicle to travel under preset road conditions, detect the vibration of the pump body through the first acceleration sensor to obtain the first vibration timing data; detect the vibration of the hose through the second acceleration sensor to obtain the second vibration timing data.

[0016] The data analysis module is used to analyze the first vibration time series data to obtain the first vibration displacement data of the pump body at the air port; and to analyze the second vibration time series data to obtain the second vibration displacement data of the hose at the air port.

[0017] The falling-off risk determination module is used to display the vibration difference between the hose and the pump body at the gas port on the vibration difference display interface to determine the risk of the hose falling off from the gas port. The vibration difference is used to characterize the change of the vibration difference between the hose and the pump body at the gas port over time, and the vibration difference is determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0018] In a third aspect, the present application further provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0019] In a fourth aspect, the present application also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when the computer program is executed by a processor.

[0020] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which implements the steps of any of the above methods when executed by a processor.

[0021] In the above embodiment, a method for determining the risk of hose falling off is provided, which is applied to pump equipment on a vehicle. The pump equipment includes a pump body and a hose. The pump body is provided with an air port, which is connected to the hose. A first acceleration sensor is disposed at a position of the pump body near the air port, and a second acceleration sensor is disposed at a position of the hose near the air port. The vibration acceleration data of the pump body and the hose when the vehicle is traveling on a preset road surface is collected and processed, and the vibration difference between the hose and the pump body at the air port is determined based on the first vibration displacement data of the pump body at the air port and the second vibration displacement data of the hose at the air port. Furthermore, the vibration difference between the hose and the pump body at the air port is displayed on a vibration difference display interface to determine the risk of the hose falling off from the air port. Thus, a method capable of predicting the risk of hose falling off of pump equipment is realized, which further improves the reliability and safety of the vehicle braking system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1a A physical diagram of the structure of a pump device provided according to an embodiment of the present application;

[0024] Figure 1b A flowchart of a method for determining a hose falling risk according to an embodiment of the present application;

[0025] Figure 1c A signal diagram of a vibration difference situation provided according to an embodiment of the present application;

[0026] Figure 2a A vibration waterfall diagram provided according to an embodiment of the present application;

[0027] Figure 2b A vibration power spectrum density diagram provided according to an embodiment of the present application;

[0028] Figure 3 A signal diagram of a vibration difference situation provided according to another embodiment of the present application;

[0029] Figure 4 A flowchart of a method for obtaining vibration displacement data according to an embodiment of the present application;

[0030] Figure 5 A flowchart of a method for denoising vibration data provided according to an embodiment of the present application;

[0031] Figure 6 It is a structural block diagram of a hose falling risk determination device provided according to an embodiment of the present application;

[0032] Figure 7 The figure is a diagram of the internal structure of a computer device provided according to one embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0034] A vacuum pump is a device that draws gas into its interior and discharges the gas into the atmosphere. It is widely used in various fields, such as industry, medical care, and automobiles. In the automotive field, vacuum pumps are often used in brake booster systems to provide drivers with auxiliary braking force and improve driving comfort and safety. However, the reliability of the vacuum pump system depends largely on the stability of its components, especially the hose connection. Hoses are key components that connect vacuum pumps and brake boosters. They must be able to withstand high pressure and temperature changes while also resisting vibration and wear. If the hose connection is unstable, gas leakage may occur, thereby reducing the brake boost effect, and even causing brake failure in extreme cases, affecting the vehicle's handling and safety. In particular, the hose may shake and fall off under vibration conditions. The shaking or falling off of the hose may directly increase the risk of traffic accidents and endanger the lives of drivers and passengers.

[0035] In the related art, there are two main methods for detecting the detachment of the vacuum pump hose. The first method is to rely on manual irregular equipment inspection to discover the existence of faults. This method relies on manual inspection, which is not only time-consuming and labor-intensive, but also fails to detect faults in a timely manner and has lag. The second method is to indirectly determine whether the hose has fallen off by analyzing gas parameters, such as air pressure or gas concentration. Although this method can more accurately determine whether the hose has fallen off, it requires complex equipment and professional operators, and the cost is relatively high. Therefore, how to accurately analyze and predict the risk of vacuum pump hoses falling off due to shaking has become a problem that needs to be solved urgently.

[0036] According to an embodiment of the present application, an embodiment of a method for determining a risk of hose falling off is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0037] In this embodiment, a method for determining the risk of hose falling off is provided, which is applied to pump equipment on a vehicle, such as Figure 1a As shown, the pump device includes a pump body 101 and a hose 102. The pump body 101 is provided with an air port 103, and the air port 103 is connected to the hose 102. A first acceleration sensor is disposed near the air port 103 of the pump body 101, and a second acceleration sensor is disposed near the air port 103 of the hose 102. Figure 1b is a flow chart of a method for determining a hose falling risk according to an embodiment of the present application. Figure 1b As shown, the process includes the following steps:

[0038] S110, controlling the vehicle to travel under preset road conditions, detecting the vibration of the pump body through a first acceleration sensor to obtain first vibration time series data; detecting the vibration of the hose through a second acceleration sensor to obtain second vibration time series data.

[0039] The preset road conditions refer to the road conditions that are predefined or selected for a specific test or experiment. Specifically, these conditions may include the type of road surface (such as asphalt, concrete or gravel), the flatness of the road surface (such as smooth, rough or pothole-filled), the friction coefficient of the road surface, and the slipperiness of the road surface. For example, the preset road condition may be a 4-lane rope road, and the preset road condition may also be an 8-lane billy stone road.

[0040] The vibration time series data may be vibration data that changes over time and is collected by an acceleration sensor and is used to describe the vibration of a pump device caused by a vehicle traveling on a preset road surface. The first vibration time series data may be vibration acceleration data that is used to describe the vibration of a pump body of a pump device. For example, the vibration acceleration data of the pump body detected by the first acceleration sensor may be used as the first vibration time series data.

[0041] Specifically, when the vehicle is traveling on preset road conditions, the first acceleration sensor is used to capture the acceleration change of the vibration caused by the vibration of the pump body in real time, and a series of vibration signal data points formed over time can be used as the first vibration time series data. The second vibration time series data can be vibration acceleration data used to describe the vibration of the hose of the pump equipment. For example, the vibration acceleration data of the hose detected by the second acceleration sensor can be used as the second vibration time series data. Specifically, when the vehicle is traveling on preset road conditions, the second acceleration sensor is used to capture the acceleration change of the vibration caused by the vibration of the hose in real time, and a series of vibration signal data points formed over time can be used as the second vibration time series data.

[0042] S120, analyzing the first vibration time series data to obtain first vibration displacement data of the pump body at the air port; analyzing the second vibration time series data to obtain second vibration displacement data of the hose at the air port.

[0043] The vibration displacement data is a measure used to describe the position change of an object during vibration, and may be data reflecting the actual position change caused by the pump body or hose being affected by vibration at the air port when the vehicle is traveling on a preset road condition. For example, the first vibration displacement data may be timing curve data used to reflect the actual movement of the pump body at the air port when the vehicle is traveling on a preset road condition. The second vibration displacement data may be timing curve data used to reflect the actual movement of the hose at the air port when the vehicle is affected by vibration at the air port when the vehicle is traveling on a preset road condition.

[0044] Specifically, by analyzing the first vibration time series data collected by the first acceleration sensor and further performing integral calculation, the data of the vibration displacement of the pump body at the gas port changing with time can be obtained, which can be used as the first vibration displacement data of the pump body at the gas port. By analyzing the second vibration time series data collected by the second acceleration sensor and further performing integral calculation, the data of the vibration displacement of the hose at the gas port changing with time can be obtained, which can be used as the second vibration displacement data of the hose at the gas port.

[0045] S130, displaying the vibration difference between the hose and the pump body at the gas port on the vibration difference display interface to determine the risk of the hose falling off from the gas port. The vibration difference is used to characterize the change of the vibration difference between the hose and the pump body at the gas port over time, and the vibration difference is determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0046] The vibration difference display interface may be a user interface for visualizing and displaying the vibration difference between the pump body and the hose at the air port. Figure 1cAs shown, the vibration difference display interface may include visually displaying the first vibration displacement data 104 and the second vibration displacement data 105 in the form of graphics or charts, and may also include calculating and displaying the vibration difference situation 106 based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0047] Specifically, the first vibration displacement data of the pump body and the second vibration displacement data of the hose can be displayed on the vibration difference display interface, and the risk of the hose falling off from the gas port can be further evaluated. Exemplarily, if the vibration difference between the hose and the pump body at the gas port shows that the vibration difference between the hose and the pump body at the gas port in a certain period of time exceeds the preset difference threshold, it indicates that the event of the hose falling off from the gas port may occur in this period of time, that is, there is a risk of the hose falling off from the gas port or the risk of the hose falling off from the gas port is relatively high; if the vibration difference between the hose and the pump body at the gas port shows that the vibration difference between the hose and the pump body at the gas port in a certain period of time does not exceed the preset difference threshold, it indicates that the event of the hose falling off from the gas port may not occur in this period of time, that is, there is no risk of the hose falling off from the gas port or the risk of the hose falling off from the gas port is relatively low.

[0048] Optionally, when it is assessed that there is a risk of the hose falling off the air port or the risk of the hose falling off the air port is relatively high, corresponding preventive measures can be taken. For example, based on the risk assessment results, the vehicle is bench tested and its parts are improved, such as optimizing the pipe port structure, replacing the hose, or adjusting the position of the pump body.

[0049] In the above embodiment, the vibration acceleration data of the pump body and the hose when the vehicle is traveling on a preset road condition is collected and processed, and the vibration difference between the hose and the pump body at the air port is determined based on the first vibration displacement data of the pump body at the air port and the second vibration displacement data of the hose at the air port. Furthermore, the vibration difference between the hose and the pump body at the air port is displayed on the vibration difference display interface to determine the risk of the hose falling off from the air port. Optionally, corresponding preventive measures can be taken based on the risk results of the evaluation to ensure the safe operation of pump equipment, especially vacuum pumps, in the brake booster system. At this point, a method for predicting the risk of hose falling off of pump equipment is realized, further improving the reliability and safety of the vehicle braking system.

[0050] In some embodiments, the method further includes: the preset road condition includes a plurality of designated road conditions, and different designated road conditions correspond to different time periods. If there is a vibration abnormality risk period that exceeds the allowable difference threshold value in the duration corresponding to the vibration difference situation, in response to the frequency domain spectrum viewing operation occurring in the vibration difference display interface, a vibration waterfall diagram and / or a vibration power spectrum density diagram is displayed to determine the cause of the vibration abnormality in the vibration abnormality risk period.

[0051] The vibration abnormality risk period may be a time period indicating the risk of the hose falling off from the air port. For example, the period of time during which the vibration difference between the pump body and the hose exceeds a preset safety threshold may be used as the vibration abnormality risk period. The difference threshold is a preset value used to determine whether the vibration difference between the pump body and the hose is within an acceptable range. If the vibration difference exceeds this threshold, it is considered that there is a vibration abnormality, and further inspection or maintenance may be required. The cause of the vibration abnormality may refer to the cause of the vibration of the pump equipment.

[0052] It is understandable that when a vehicle is traveling on a preset road surface condition, the vibration of the pump equipment is not only caused by the road surface condition. Since the vibration characteristics of the engine are often related to its rotational speed, the vibration of the engine at an integer multiple frequency (i.e., order) of the rotational speed is often the main cause of the engine vibration. Therefore, the cause of the vibration of the pump equipment also includes the powertrain cause such as the vehicle engine or gearbox. For example, the different road surface conditions that the vehicle passes through during driving can be regarded as the cause of abnormal vibration, and the powertrain cause such as the engine or gearbox that maintains normal driving of the vehicle can also be regarded as the cause of abnormal vibration.

[0053] Specifically, by performing a time domain analysis on the vibration difference determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data, it is possible to determine that there is a vibration abnormality risk period that exceeds the allowable difference threshold value in the duration corresponding to the vibration difference. Further, the vibration difference is analyzed in the frequency domain, and the cause of the vibration difference displayed in the vibration abnormality risk period is determined based on the vibration frequency corresponding to the vibration abnormality risk period.

[0054] Optionally, the frequency domain analysis can be performed based on a vibration power spectrum density diagram obtained by Fourier transforming the first vibration displacement data and the second vibration displacement data. The vibration power spectrum density diagram can reflect the power distribution of the vibration signal at different frequencies and the power intensity of each frequency component.

[0055] Specifically, the vibration frequency corresponding to the vibration abnormality risk period is determined based on the vibration power spectrum density diagram. If the vibration frequency corresponding to the vibration abnormality risk period is consistent with the operating frequency of the vehicle powertrain, it can be determined that the cause of the vibration abnormality is the vehicle powertrain. If the difference between the vibration frequency corresponding to the vibration abnormality risk period and the operating frequency of the vehicle powertrain exceeds the preset frequency threshold, it can be determined that the cause of the vibration abnormality is the road surface condition. Further, based on the vibration abnormality risk period corresponding to the road surface condition, the target period corresponding to the road surface condition is determined by time domain analysis, and the corresponding designated road surface condition is determined based on the target period, and the target road surface condition where the vehicle is located during the vibration abnormality risk period is determined from multiple designated road surface conditions, and finally the cause of the vibration abnormality is determined to be the target road surface condition. Among them, the risk of the hose falling off from the air port on the target road surface condition is higher than the risk of the hose falling off from the air port on other road surface conditions, and the other road surface conditions are road surface conditions other than the target road surface conditions from multiple designated road surface conditions.

[0056] Optionally, the frequency domain analysis can also be performed based on a vibration waterfall diagram obtained by performing a jump-type Fourier transformation on the first vibration displacement data and the second vibration displacement data. The vibration waterfall diagram can be a spectrum diagram that reflects the frequency magnitude of the vibration signal and the change of the vibration signal over time. It is a spectrum diagram that calculates the instantaneous spectrum based on the time series data, and displays all the instantaneous spectra in chronological order.

[0057] Specifically, the vibration frequency corresponding to the vibration abnormality risk period is determined based on the vibration waterfall diagram. If the vibration frequency corresponding to the vibration abnormality risk period is consistent with the operating frequency of the vehicle powertrain, the cause of the vibration abnormality is determined to be the vehicle powertrain. If the difference between the vibration frequency corresponding to the vibration abnormality risk period and the operating frequency of the vehicle powertrain exceeds the preset frequency threshold, the cause of the vibration abnormality can be determined to be the road surface condition. Further, based on the vibration abnormality risk period corresponding to the road surface condition, the target period corresponding to the road surface condition can be directly determined based on the vibration waterfall diagram, and the corresponding designated road surface condition can be determined based on the target period. The target road surface condition where the vehicle is located during the vibration abnormality risk period is determined from a variety of designated road surface conditions, and finally the cause of the vibration abnormality is determined to be the target road surface condition. Among them, the risk of the hose falling off from the air port on the target road surface condition is higher than the risk of the hose falling off from the air port on other road surface conditions, and the other road surface conditions are road surface conditions other than the target road surface conditions from a variety of designated road surface conditions.

[0058] Optionally, frequency domain analysis can also be performed based on the vibration waterfall diagram and the vibration power spectrum density diagram. The vibration frequency corresponding to the vibration abnormality risk period is determined based on the vibration power spectrum density diagram. If the vibration frequency corresponding to the vibration abnormality risk period is consistent with the operating frequency of the vehicle powertrain, the cause of the vibration abnormality can be determined to be the vehicle powertrain. If the difference between the vibration frequency corresponding to the vibration abnormality risk period and the operating frequency of the vehicle powertrain exceeds a preset frequency threshold, the cause of the vibration abnormality can be determined to be the road surface condition. Further, based on the vibration abnormality risk period corresponding to the road surface condition, the target period corresponding to the road surface condition can be determined in the vibration waterfall diagram based on the vibration frequency corresponding to the vibration abnormality risk period, and the corresponding designated road surface condition can be determined based on the target period, and the target road surface condition of the vehicle in the vibration abnormality risk period is determined from multiple designated road surface conditions, and finally the cause of the vibration abnormality is determined to be the target road surface condition. Among them, the risk of the hose falling off from the air port on the target road surface condition is higher than the risk of the hose falling off from the air port on other road surface conditions, and the other road surface conditions are road surface conditions other than the target road surface conditions among multiple designated road surface conditions.

[0059] For example, Figure 2a is a vibration waterfall diagram, Figure 2b Vibration power spectrum density diagram, such as Figure 2b As shown, the figure includes vibration frequency response curves of pump equipment of different models of vehicles under different road conditions. For example, it can include vibration frequency response curve 201 of pump equipment vibration difference when vehicle type A is traveling on a 4-lane rope road, it can also include vibration frequency response curve 202 of pump equipment vibration difference when vehicle type B is traveling on a 4-lane rope road, and it can also include vibration frequency response curve 203 of pump equipment vibration difference when vehicle type A is traveling on an 8-lane billy stone road. Since the vibration characteristics of the engine are often related to its speed, the integral multiple frequency of the speed (i.e., order) is often the main source of engine vibration. It can be seen that the 48.2Hz peak is close to the specific order frequency of the engine, so it can be considered that the 48.2Hz peak is the vibration peak caused by the second-order excitation of the engine, that is, the vibration abnormality shown at the 48.2Hz frequency is caused by the vehicle powertrain; and the 9Hz peak is not at the specific order frequency of the engine and is very different from the specific order frequency of the engine, so it can be considered that the 9Hz peak is the vibration peak caused by the excitation of different road conditions passed by the vehicle during driving, that is, the vibration abnormality shown at the 9Hz frequency is caused by the road conditions. Furthermore, if Figure 2aAs shown, the abnormal vibration risk period is determined according to the 9 Hz frequency, and the period around 704 seconds can be used as the target period corresponding to the road condition caused by the abnormal vibration, and the target road condition at this time is determined to be a rope road according to the target period. Finally, it can be concluded that under the road condition of the rope road, there will be a risk of the hose falling off from the air port or the risk of the hose falling off from the air port is more likely.

[0060] In the above implementation, first, the vibration abnormality risk period is determined by performing a time domain analysis on the vibration difference. Further, the frequency domain analysis of the vibration difference is performed to determine whether the vibration abnormality in the vibration abnormality risk period is due to the powertrain, or whether it is really caused by the vibration abnormality caused by the different road conditions that the vehicle passes through during driving. If the frequency domain analysis is performed to determine that the vibration abnormality in the vibration abnormality risk period is caused by the road conditions, then based on the vibration abnormality risk period corresponding to the road conditions, the target period corresponding to the road conditions is determined, and the corresponding designated road conditions are determined based on the target period, and the target road conditions where the vehicle is located in the vibration abnormality risk period are determined among the multiple designated road conditions, and finally the vibration abnormality is determined to be the target road condition. Through time domain and frequency domain analysis, the specific period and cause of the vibration abnormality can be more accurately identified, so as to carry out targeted maintenance or adjustment. And distinguishing the vibration abnormality caused by powertrain problems and road conditions can avoid unnecessary maintenance, reduce misjudgment and waste of resources.

[0061] In some embodiments, the method also includes: if there is a vibration abnormality risk period that exceeds an allowable difference threshold in the duration corresponding to the vibration difference situation, in response to a detail viewing operation for the vibration abnormality risk period, a first vibration displacement curve of the pump body during the vibration abnormality risk period and a second vibration displacement curve of the hose during the vibration abnormality risk period are displayed to show the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0062] The abnormal vibration risk period may be a time period indicating the risk of the hose falling off from the air port. The first vibration displacement curve may be a time series curve describing the actual movement of the pump body at the air port when the pump body is affected by vibration due to the vehicle traveling on a preset road surface. The first vibration displacement curve may be a time series curve describing the actual movement of the hose at the air port when the hose is affected by vibration due to the vehicle traveling on a preset road surface.

[0063] Specifically, if there is a vibration abnormality risk period that exceeds the allowable difference threshold value in the duration corresponding to the vibration difference situation, in response to the detailed viewing operation for the vibration abnormality risk period, the first vibration displacement curve of the pump body in the vibration abnormality risk period and the second vibration displacement curve of the hose in the vibration abnormality risk period are displayed. Further, the displacement difference between the first vibration displacement data and the second vibration displacement data is displayed, wherein the displacement difference can be calculated by the following formula:

[0064] Δx=x b -x g

[0065] Where Δx is the displacement difference; x b is the first vibration displacement data of the pump body at the air port; x g It is the second vibration displacement data of the hose at the air port.

[0066] For example, Figure 3 It is a signal diagram of vibration difference, such as Figure 3 As shown, in response to the detail viewing operation for the vibration abnormality risk period, a first vibration displacement curve 301 of the pump body during the vibration abnormality risk period and a second vibration displacement curve 302 of the hose during the vibration abnormality risk period are displayed, and a displacement difference 303 between the first vibration displacement data and the second vibration displacement data is shown.

[0067] In the above embodiment, by intuitively displaying the first vibration displacement curve of the pump body during the vibration abnormality risk period and the second vibration displacement curve of the hose during the vibration abnormality risk period to show the displacement difference between the first vibration displacement data and the second vibration displacement data, the vibration difference between the pump body and the hose at the air port is visualized, which facilitates clearer observation of the vibration difference and further assessment of the risk of the hose falling off from the air port.

[0068] In some embodiments, the analysis method of the first vibration time series data is the same as the analysis method of the second vibration time series data. The first vibration time series data is analyzed to obtain the first vibration displacement data of the pump body at the air port. Please refer to the attached Figure 4 ,include:

[0069] S410 , performing denoising processing on the first vibration time series data to obtain denoised vibration time series data.

[0070] De-noising may refer to a processing operation of removing noise from raw data to obtain a clearer signal. For example, random fluctuations and interference in the first vibration time series data may be reduced by processing operations such as Fourier transform, wavelet transform, Kalman filter or median filter, so as to more accurately analyze and understand the vibration signal.

[0071] S420 , performing secondary integration based on the denoised vibration time series data to obtain first vibration displacement data.

[0072] Among them, in physics, acceleration is the derivative of velocity with respect to time, and velocity is the derivative of displacement with respect to time. Therefore, starting from the basic formula of dynamics, by integrating the vibration time series data obtained based on the acceleration sensor, the velocity data can be obtained. By integrating the velocity data again, the vibration acceleration data displacement data used to describe the vibration conditions of the pump body and hose of the pump equipment can be obtained.

[0073] Specifically, by performing a second integration based on the denoised vibration time series data, first vibration displacement data for describing the vibration of the pump body of the pump equipment can be obtained. Similarly, by performing a second integration based on the denoised vibration time series data, second vibration displacement data for describing the vibration of the hose of the pump equipment can also be obtained.

[0074] In the above implementation, the vibration time series data is de-noised to obtain a clearer signal, and the random fluctuations and interference in the data are reduced, so as to more accurately analyze and understand the vibration signal. Furthermore, the acceleration data is converted into displacement data, and the vibration difference between the pump body and the hose at the air port is more intuitively visualized, so as to more clearly observe the vibration difference and further evaluate the risk of the hose falling off from the air port.

[0075] In some embodiments, please refer to the attached Figure 5 , performing denoising processing on the first vibration time series data to obtain denoised vibration time series data, including:

[0076] S510 , performing trend elimination and smoothing processing on the first vibration time series data to obtain intermediate vibration time series data.

[0077] Among them, the trend item refers to the long-term changes or trends that may exist in the data.

[0078] Specifically, the trend term can be eliminated by fitting the first vibration time series data to a polynomial or other function and subtracting the trend from the original data. Exemplarily, the type of the trend term needs to be determined first, and the type of the trend term can be linear data or polynomial data. Then the trend line is estimated using the least squares method, and finally the trend line is subtracted from the first vibration time series data to obtain the vibration time series data after the trend term is removed.

[0079] Further, based on the smoothing process, high-frequency noise of the first vibration time series data is reduced and main features in the first vibration time series data are highlighted. Exemplarily, the smoothing process can be performed by moving average, exponential smoothing or Gaussian filtering.

[0080] S520, removing the DC component of the intermediate vibration time series data to obtain denoised vibration time series data.

[0081] The DC component refers to the constant part of the signal that does not change with time.

[0082] Specifically, the DC component of the intermediate vibration time series data can be removed by performing mean processing on the intermediate vibration time series data to obtain an average value, and then subtracting the average value of the intermediate vibration time series data from the intermediate vibration time series data.

[0083] In the above embodiment, the first vibration time series data is subjected to trend elimination and smoothing processing, and the DC component of the processed vibration time series data is further removed to obtain the denoised vibration time series data. The signal data of the denoised vibration time series data is made smoother, and the main features of the signal can be highlighted, which helps to eliminate static deviation or offset, and reduce the noise caused by measurement error or external interference. Furthermore, a more accurate scientific basis is provided for the subsequent prediction of the risk of hose detachment of pump equipment.

[0084] It should be understood that, although the various steps in the above flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the above flowchart may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0085] The embodiment of the present specification also provides a hose falling risk determination device 600, which is applied to pump equipment on a vehicle. The pump equipment includes a pump body and a hose. The pump body is provided with an air port, which is connected to the hose. A first acceleration sensor is arranged near the air port of the pump body, and a second acceleration sensor is arranged near the air port of the hose. Figure 6 As shown, the device includes: a time series data determination module 610, a data analysis module 620 and a fall-off risk determination module 630, wherein:

[0086] The timing data determination module 610 is used to control the vehicle to travel under preset road conditions, detect the vibration of the pump body through the first acceleration sensor to obtain first vibration timing data; and detect the vibration of the hose through the second acceleration sensor to obtain second vibration timing data.

[0087] The data analysis module 620 is used to analyze the first vibration time series data to obtain the first vibration displacement data of the pump body at the air port; and to analyze the second vibration time series data to obtain the second vibration displacement data of the hose at the air port.

[0088] The falling-off risk determination module 630 is used to display the vibration difference between the hose and the pump body at the gas port on the vibration difference display interface to determine the risk of the hose falling off from the gas port. The vibration difference is used to characterize the change of the vibration difference between the hose and the pump body at the gas port over time, and the vibration difference is determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0089] In some embodiments, the fall-off risk determination module 630 is also used to determine if there is a vibration abnormality risk period that exceeds an allowable difference threshold in the duration corresponding to the vibration difference situation, and in response to a frequency domain spectrum viewing operation occurring in the vibration difference display interface, a vibration waterfall diagram and / or a vibration power spectrum density diagram is displayed to determine the cause of the vibration abnormality in the vibration abnormality risk period.

[0090] In some embodiments, the fall-off risk determination module 630 is also used to determine if there is a vibration abnormality risk period that exceeds an allowable difference threshold in the duration corresponding to the vibration difference situation. In response to a detail viewing operation for the vibration abnormality risk period, a first vibration displacement curve of the pump body during the vibration abnormality risk period and a second vibration displacement curve of the hose during the vibration abnormality risk period are displayed to show the displacement difference between the first vibration displacement data and the second vibration displacement data.

[0091] In some embodiments, the preset road conditions include a plurality of designated road conditions, and different designated road conditions correspond to different time periods. The fall-off risk determination module 630 is further used to determine if the difference between the vibration frequency corresponding to the vibration abnormality risk time period and the operating frequency of the vehicle powertrain exceeds a preset frequency threshold, determine the target road condition of the vehicle in the vibration abnormality risk time period from the plurality of designated road conditions, and determine the cause of the vibration abnormality as the target road condition.

[0092] In some embodiments, the fall-off risk determination module 630 is further used to determine that if the vibration frequency corresponding to the vibration abnormality risk period is consistent with the operating frequency of the vehicle powertrain, the cause of the vibration abnormality is determined to be the vehicle powertrain.

[0093] In some embodiments, the analysis method of the first vibration timing data is the same as the analysis method of the second vibration timing data. The data analysis module 620 is also used to denoise the first vibration timing data to obtain denoised vibration timing data; and perform secondary integration based on the denoised vibration timing data to obtain the first vibration displacement data.

[0094] In some embodiments, the data analysis module 620 is further used to eliminate trend items and smooth the first vibration time series data to obtain intermediate vibration time series data; remove the DC component of the intermediate vibration time series data to obtain denoised vibration time series data.

[0095] The specific definition of a hose falling risk determination device can be found in the above definition of a hose falling risk determination method, which will not be repeated here. Each module in the above hose falling risk determination device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0096] In this embodiment, a hose fall risk determination device is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0097] The embodiment of the present application also provides a computer device, which may be a terminal, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining the risk of hose falling off is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0098] Those skilled in the art will understand that Figure 7The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0099] The embodiment of the present application also provides a computer-readable storage medium. The above method according to the embodiment of the present application can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0100] The embodiment of the present application provides a computer program product, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method of any embodiment of the present application.

[0101] The hose falling risk determination method, apparatus, computer device and storage medium described in the above embodiments can be implemented by a computer chip or entity, or by a product with a certain function. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device or a combination of any of these devices.

[0102] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0103] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0104] The present application is described with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, and the combination of the process and / or box in the flowchart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one process or multiple processes in the flowchart and / or one box or multiple boxes in the block diagram.

[0105] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0107] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0108] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0109] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0110] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. Since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0111] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

[0112] Although the embodiments of the present application are described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for determining the risk of hose falling off, characterized in that: A pump device applied to a vehicle, the pump device comprising a pump body and a hose, the pump body being provided with an air port, the air port being connected to the hose, a first acceleration sensor being disposed at a position of the pump body close to the air port, and a second acceleration sensor being disposed at a position of the hose close to the air port; the method comprising: Controlling the vehicle to travel under preset road conditions, detecting the vibration of the pump body by the first acceleration sensor to obtain first vibration time series data; detecting the vibration of the hose by the second acceleration sensor to obtain second vibration time series data; The first vibration time series data is analyzed to obtain first vibration displacement data of the pump body at the air port; the second vibration time series data is analyzed to obtain second vibration displacement data of the hose at the air port; The vibration difference between the hose and the pump body at the air port is displayed on the vibration difference display interface to determine the risk of the hose falling off from the air port; wherein the vibration difference is used to characterize the change of the vibration difference between the hose and the pump body at the air port over time; the vibration difference is determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

2. The method according to claim 1, characterized in that The method further comprises: If there is a vibration abnormality risk period that exceeds the allowable difference threshold during the duration corresponding to the vibration difference situation, in response to the frequency domain spectrum viewing operation occurring in the vibration difference display interface, a vibration waterfall chart and / or a vibration power spectrum density chart is displayed to determine the cause of the vibration abnormality in the vibration abnormality risk period.

3. The method according to claim 1, characterized in that The method further comprises: If there is a vibration abnormality risk period that exceeds the allowable difference threshold during the duration corresponding to the vibration difference situation, in response to a detail viewing operation for the vibration abnormality risk period, a first vibration displacement curve of the pump body during the vibration abnormality risk period and a second vibration displacement curve of the hose during the vibration abnormality risk period are displayed to show the displacement difference between the first vibration displacement data and the second vibration displacement data.

4. The method according to claim 2, characterized in that: The preset road surface conditions include a plurality of designated road surface conditions, and different designated road surface conditions correspond to different time periods; the method further includes: If the difference between the vibration frequency corresponding to the vibration abnormality risk period and the operating frequency of the vehicle powertrain exceeds a preset frequency threshold, the target road condition of the vehicle during the vibration abnormality risk period is determined among the multiple specified road conditions, and the cause of the vibration abnormality is determined to be the target road condition.

5. The method according to claim 2, characterized in that: The method further comprises: If the vibration frequency corresponding to the vibration abnormality risk period is consistent with the operating frequency of the vehicle powertrain, it is determined that the cause of the vibration abnormality is the vehicle powertrain.

6. The method according to claim 1, characterized in that The analysis method of the first vibration time series data is the same as the analysis method of the second vibration time series data; the analysis of the first vibration time series data to obtain the first vibration displacement data of the pump body at the air port includes: Performing denoising processing on the first vibration time series data to obtain denoised vibration time series data; The first vibration displacement data is obtained by performing a second integration based on the denoised vibration time series data.

7. The method according to claim 6, characterized in that The step of performing denoising on the first vibration time series data to obtain denoised vibration time series data includes: Performing trend elimination and smoothing processing on the first vibration time series data to obtain intermediate vibration time series data; The DC component of the intermediate vibration time series data is removed to obtain the denoised vibration time series data.

8. A pump equipment hose detachment detection device, characterized in that: A pump device applied to a vehicle, the pump device comprising a pump body and a hose, the pump body being provided with an air port, the air port being connected to the hose, a first acceleration sensor being arranged at a position of the pump body close to the air port, and a second acceleration sensor being arranged at a position of the hose close to the air port; the device comprising: A time series data determination module, used to control the vehicle to travel under preset road conditions, detect the vibration of the pump body through the first acceleration sensor to obtain first vibration time series data; detect the vibration of the hose through the second acceleration sensor to obtain second vibration time series data; A data analysis module, configured to analyze the first vibration time series data to obtain first vibration displacement data of the pump body at the air port; and to analyze the second vibration time series data to obtain second vibration displacement data of the hose at the air port; A falling-off risk determination module is used to display the vibration difference between the hose and the pump body at the air port on a vibration difference display interface to determine the risk of the hose falling off from the air port; wherein the vibration difference is used to characterize the change of the vibration difference between the hose and the pump body at the air port over time; the vibration difference is determined based on the displacement difference between the first vibration displacement data and the second vibration displacement data.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.

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