Tubing inspection method, device, computer equipment and storage medium thereof

By obtaining the usage mileage and first leakage time of the control oil pipe, and combining it with environmental parameter simulation experiments, the predicted mileage of the oil pipe is calculated, which solves the problem of inaccuracy of traditional detection methods and improves the accuracy and safety of oil pipe detection.

CN114896814BActive Publication Date: 2026-01-02FAW JIEFANG AUTOMOTIVE CO
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202210647123.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-09
Publication Date
2026-01-02
Estimated Expiration
2042-06-09

AI Technical Summary

Technical Problem

Traditional oil pipe inspection methods cannot accurately predict mileage, which leads to compromises in the sealing and reliability of oil pipes, affecting driving safety.

Method used

By obtaining the usage mileage and first leakage time of the control oil pipe, a simulation experiment was conducted on the tested oil pipe based on environmental parameters to determine its second leakage time, and the predicted mileage was calculated using the usage mileage, first leakage time, and second leakage time.

Benefits of technology

This improves the accuracy of oil pipe mileage prediction, making the prediction results closer to the actual mileage, ensuring the sealing and reliability of the oil pipe, and guaranteeing driving safety.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN114896814B_ABST
    Figure CN114896814B_ABST
Patent Text Reader

Abstract

The application relates to the technical field of oil pipe detection, in particular to an oil pipe detection method and device, computer equipment and a storage medium thereof. The method comprises the following steps: acquiring the use mileage and a first leakage time of a control oil pipe; performing simulation experiments on a measured oil pipe based on the environmental parameters of the control oil pipe, to obtain a second leakage time of the measured oil pipe; and determining the predicted mileage of the measured oil pipe based on the use mileage, the first leakage time and the second leakage time. The application further ensures the accuracy of detecting the predicted mileage of the measured oil pipe, so that the predicted mileage can be closer to the actual mileage of the measured oil pipe.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil pipe detection, and in particular to an oil pipe detection method and device, computer equipment and a storage medium thereof. BACKGROUND

[0002] The reliability of oil pipes is very important in the automotive industry. With the upgrading of automotive power systems, the use requirements for oil pipes are gradually increasing. Ensuring the sealing and reliability of oil pipes can ensure the safety of vehicle driving.

[0003] In the traditional technology, the material performance of the oil pipe is usually measured by a thermal oxygen aging test or a medium resistance aging test, and then the service mileage of the oil pipe is predicted.

[0004] However, the service mileage of the oil pipe obtained by the traditional measurement method is not accurate. SUMMARY

[0005] Therefore, it is necessary to provide an oil pipe detection method, device, computer equipment and storage medium thereof to solve the above technical problems.

[0006] In a first aspect, the present application provides an oil pipe detection method. The method comprises:

[0007] obtaining the service mileage and the first leakage time of a control oil pipe;

[0008] based on the environmental parameters of the control oil pipe, performing a simulation experiment on the measured oil pipe to obtain the second leakage time of the measured oil pipe;

[0009] based on the service mileage, the first leakage time and the second leakage time, determining the predicted mileage of the measured oil pipe.

[0010] In one embodiment, based on the environmental parameters of the control oil pipe, the simulation experiment on the measured oil pipe is performed to obtain the second leakage time of the measured oil pipe, which comprises:

[0011] obtaining environmental information of the control oil pipe, and extracting the environmental parameters based on the environmental information;

[0012] based on the environmental parameters, constructing a simulation environment, and performing a simulation experiment on the measured oil pipe in the simulation environment to obtain the second leakage time of the measured oil pipe.

[0013] In one embodiment, the environmental information of the control oil pipe is obtained, and the environmental parameters are extracted based on the environmental information, which comprises:

[0014] performing a stage detection process on the control oil pipe to obtain environmental information corresponding to each time stage;

[0015] Based on each of the environment information, an environment parameter in which the control oil pipe is located is obtained.

[0016] In one of the embodiments, the simulation environment is constructed based on the environment parameter, a simulation experiment is performed on the measured oil pipe in the simulation environment, and a second leakage time of the measured oil pipe is obtained, including:

[0017] Based on the environment parameter, a simulation parameter of an initial simulation environment is adjusted to obtain the simulation environment.

[0018] The leakage time of the measured oil pipe is measured in the simulation environment to determine the second leakage time of the measured oil pipe.

[0019] In one of the embodiments, the production batch of the measured oil pipe is the same as that of the control oil pipe.

[0020] In one of the embodiments, the predicted mileage of the measured oil pipe is determined based on the use mileage, the first leakage time and the second leakage time, including:

[0021] A corresponding relationship between the use mileage and the leakage time is determined according to the use mileage and the first leakage time.

[0022] The predicted mileage of the measured oil pipe is determined according to the second leakage time and the corresponding relationship.

[0023] In one of the embodiments, the environment parameter includes temperature, humidity, medium, vibration, pressure, road sandstone impact, etc.

[0024] In a second aspect, the application further provides an oil pipe detection device. The device includes:

[0025] An acquisition module is configured to acquire the use mileage and the first leakage time of the control oil pipe.

[0026] An experiment module is configured to perform a simulation experiment on the measured oil pipe based on an environment parameter in which the control oil pipe is located to obtain a second leakage time of the measured oil pipe.

[0027] A calculation module is configured to calculate the predicted mileage of the measured oil pipe based on the use mileage, the first leakage time and the second leakage time.

[0028] In a third aspect, the application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0029] The use mileage and the first leakage time of the control oil pipe are acquired.

[0030] based on the environmental parameters of the control oil pipe, performing simulation experiment on the measured oil pipe to obtain a second leakage time of the measured oil pipe;

[0031] based on the use mileage, the first leakage time and the second leakage time, determining a predicted mileage of the measured oil pipe.

[0032] In a fourth aspect, the present application further provides a computer readable storage medium. The computer readable storage medium has a computer program stored thereon, and the computer program, when executed by a processor, implements the following steps:

[0033] obtaining a use mileage and a first leakage time of a control oil pipe;

[0034] based on the environmental parameters of the control oil pipe, performing simulation experiment on the measured oil pipe to obtain a second leakage time of the measured oil pipe;

[0035] based on the use mileage, the first leakage time and the second leakage time, determining a predicted mileage of the measured oil pipe.

[0036] In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program, and the computer program, when executed by a processor, implements the following steps:

[0037] obtaining a use mileage and a first leakage time of a control oil pipe;

[0038] based on the environmental parameters of the control oil pipe, performing simulation experiment on the measured oil pipe to obtain a second leakage time of the measured oil pipe;

[0039] based on the use mileage, the first leakage time and the second leakage time, determining a predicted mileage of the measured oil pipe.

[0040] According to the technical scheme of the present application, by obtaining the use mileage and the first leakage time of the control oil pipe, data basis is provided for subsequent determination of the predicted mileage of the measured oil pipe, and the accuracy of determining the predicted mileage of the measured oil pipe is improved; by performing simulation experiment on the measured oil pipe, it is ensured that the measured oil pipe and the control oil pipe are obtained under the same environmental parameters, and the accuracy of detecting the predicted mileage of the measured oil pipe is further ensured, so that the predicted mileage is closer to the actual mileage of the measured oil pipe. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 a flowchart of an oil pipe detection method provided by an embodiment of the present application;

[0042] Figure 2 a flowchart of another oil pipe detection method provided by an embodiment of the present application;

[0043] Figure 3 A flow chart of another oil pipe detection method provided for an embodiment of the present application is shown in FIG. 6.

[0044] Figure 4 A flow chart of another oil pipe detection method provided for an embodiment of the present application is shown in FIG. 6.

[0045] Figure 5 A flow chart of another oil pipe detection method provided for an embodiment of the present application is shown in FIG. 6.

[0046] Figure 6 A structural block diagram of an oil pipe detection device provided for an embodiment of the present application is shown in FIG. 7.

[0047] Figure 7 A structural block diagram of another oil pipe detection device provided for an embodiment of the present application is shown in FIG. 7.

[0048] Figure 8 A structural block diagram of another oil pipe detection device provided for an embodiment of the present application is shown in FIG. 7.

[0049] Figure 9 An internal structural diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0050] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0051] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0052] The reliability of the oil pipe is very important in the automobile industry, and as the automobile power system is upgraded, the use requirements of the oil pipe are gradually improved. In order to ensure the sealing and reliability of the oil pipe, the driving safety of the vehicle can be ensured. In order to ensure that the oil pipe does not leak during driving, quality detection needs to be carried out after the oil pipe is produced, so as to realize the screening of unqualified oil pipes. It should be noted that the common failure of the oil pipe is caused by factors such as thermal effect and vibration. Because the internal medium of the oil pipe has a certain temperature during use, the internal rubber layer of the oil pipe will age in a long-term high-temperature state, and the compression performance, tensile performance and hardness will be reduced, so that the service life is limited. Therefore, the service mileage of the oil pipe is usually detected by thermal aging test or medium aging test. However, the above detection methods cannot be applied to all oil pipes. For example, the steering oil pipe is affected by temperature, medium, vibration, pressure, road stone impact and other comprehensive factors during use. Therefore, the service mileage of the oil pipe obtained by the traditional measurement method is not accurate.

[0053] In one embodiment, a computer device, which can be a server, has an internal structure diagram as shown in Figure 1 The computer device includes a processor, a memory and a network interface connected by a system bus. 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the acquisition data of the character contrast. The network interface of the computer device is used to communicate with the external terminal through the network connection. The computer program is executed by the processor to implement a character contrast acquisition method.

[0054] The present application discloses an oil pipe detection method, device, computer device and storage medium thereof. The computer device of the operator acquires the service mileage and the first leakage time of the reference oil pipe and stores them in the database. When the predicted mileage of the oil pipe needs to be detected, the computer device of the operator acquires the service mileage and the first leakage time of the reference oil pipe from the database, and acquires the second leakage time of the measured oil pipe based on the simulation experiment. According to the service mileage, the first leakage time and the second leakage time, the predicted mileage of the measured oil pipe is determined.

[0055] Figure 2 Another flowchart of an oil pipe detection method provided by the embodiment of the present application is shown in Figure 2 The oil pipe detection method includes the following steps:

[0056] Step 201, obtaining the service mileage and the first leakage time of the control oil pipe.

[0057] The service mileage refers to the total mileage of the vehicle equipped with the control oil pipe from the beginning of the use of the control oil pipe to the rupture of the control oil pipe. The first leakage time refers to the total time consumed from the beginning of the use of the control oil pipe to the rupture of the control oil pipe.

[0058] In an embodiment of the present application, the control oil pipe can be a plurality of oil pipes. The average service mileage and the average leakage time of the plurality of oil pipes are calculated by respectively measuring the service mileage and the leakage time of the plurality of oil pipes. The average service mileage is the service mileage of the control oil pipe, and the average leakage time is the first leakage time of the control oil pipe.

[0059] As an implementation manner, the control oil pipe can be a plurality of oil pipes, which are oil pipe A, oil pipe B and oil pipe C. The service mileage A1 and the leakage time A2 of the oil pipe A, the service mileage B1 and the leakage time B2 of the oil pipe B, and the service mileage C1 and the leakage time C2 of the oil pipe C are respectively obtained. The average service mileage of the plurality of oil pipes is calculated according to the service mileage A1, the service mileage B1 and the service mileage C1. The average mileage is the service mileage of the control oil pipe. The average leakage time of the plurality of oil pipes is calculated according to the leakage time A2, the leakage time B2 and the leakage time C2. The average leakage time is the first leakage time of the control oil pipe.

[0060] Step 202, performing a simulation experiment on the measured oil pipe based on the environmental parameters of the control oil pipe to obtain the second leakage time of the measured oil pipe.

[0061] The environmental parameters of the control oil pipe refer to information parameters that can reflect the use environment of the control oil pipe. It can be understood that the environmental information of the control oil pipe in the use process can be determined according to the environmental parameters of the control oil pipe.

[0062] The environmental parameters can include but are not limited to temperature, humidity, medium, vibration, pressure, road sandstone impact, etc.

[0063] In an embodiment of the present application, a simulation environment is established according to the environmental parameters of the control oil pipe. The measured oil pipe is allowed to perform a simulation experiment in the simulation environment until the measured oil pipe leaks to determine the second leakage time of the measured oil pipe. It should be noted that by establishing a simulation environment, the environmental parameters of the environment in which the measured oil pipe is located during the simulation experiment are the same as the environmental parameters of the control oil pipe, so as to ensure the accuracy of the subsequent measurement of the predicted mileage of the measured oil pipe.

[0064] It should be noted that since the service mileage of the reference oil pipe and the first leakage time are both obtained by experiment, and the experimental measurement time of the reference oil pipe is relatively long. Therefore, during the experimental measurement of the reference oil pipe, the environmental parameters of the reference oil pipe can change greatly. In order to accurately obtain the predicted mileage of the measured oil pipe, multiple sets of environmental parameters can be obtained according to the change of the environment of the reference oil pipe, and the measured oil pipe is simulated multiple times based on multiple sets of environmental parameters, and finally multiple leakage times are obtained. The second leakage time of the measured oil pipe is calculated according to the multiple leakage times.

[0065] As an implementation manner, since the experimental measurement time of the reference oil pipe includes summer, autumn and winter, in order to accurately obtain the predicted mileage of the measured oil pipe, the experimental measurement time of the reference oil pipe can be segmented and the environmental parameters of each time period are obtained, that is, the environmental parameters of summer, the environmental parameters of autumn and the environmental parameters of winter. The measured oil pipe is simulated based on the environmental parameters of summer, the environmental parameters of autumn and the environmental parameters of winter, respectively, to obtain the leakage time of the measured oil pipe in each time period, that is, the leakage time of summer, the leakage time of autumn and the leakage time of winter. According to the square operation of the leakage time of summer, the leakage time of autumn and the leakage time of winter, the second leakage time of the measured oil pipe is calculated.

[0066] In step 203, the predicted mileage of the measured oil pipe is determined based on the service mileage, the first leakage time and the second leakage time.

[0067] The predicted mileage refers to the mileage that the vehicle with the measured oil pipe can travel before the measured oil pipe is broken after being put into use.

[0068] In an embodiment of the present application, the ratio M of the service mileage of the reference oil pipe to the first leakage time can be determined, and if the ratio M of the service mileage of the reference oil pipe to the first leakage time is the same as the ratio of the predicted mileage of the measured oil pipe to the second leakage time, and the predicted mileage of the measured oil pipe is assumed to be X, then X=M*second leakage time.

[0069] In an embodiment of the present application, the ratio M of the service mileage of the reference oil pipe to the first leakage time can be determined, and if the ratio M of the service mileage of the reference oil pipe to the first leakage time is the same as the ratio of the predicted mileage of the measured oil pipe to the second leakage time, and the predicted mileage of the measured oil pipe is assumed to be X, then X=M*second leakage time.

[0070] According to the oil pipe detection method, the use mileage and the first leakage time of the control oil pipe are obtained, data basis is provided for subsequent determination of the predicted mileage of the measured oil pipe, and the accuracy of determination of the predicted mileage of the measured oil pipe is improved; the simulation experiment is performed on the measured oil pipe, the measured oil pipe and the control oil pipe are ensured to be tested under the same environmental parameters, and the accuracy of detection of the predicted mileage of the measured oil pipe is further ensured, so that the predicted mileage is closer to the actual mileage of the measured oil pipe.

[0071] It should be noted that the simulation environment can be established based on the environmental parameters, so that the simulation experiment on the measured oil pipe is realized. Optionally, as shown in Figure 3 Figure 3 The flowchart of another oil pipe detection method provided by the embodiment of the application is shown in

[0072] In step 301, the environmental information of the control oil pipe is obtained, and the environmental parameters are extracted based on the environmental information.

[0073] It should be noted that the control oil pipe is subjected to stage detection processing, and the environmental information corresponding to each time stage is obtained; and the environmental parameters of the control oil pipe are obtained based on the environmental information.

[0074] In an embodiment of the application, since the use mileage and the first leakage time of the control oil pipe are both obtained by experiment measurement, and the experiment measurement time of the control oil pipe is relatively long, the environmental information of the control oil pipe may change at different time stages in the experiment verification process. In order to ensure the accuracy of subsequent determination of the predicted mileage of the measured oil pipe, the environmental information of the control oil pipe at each time stage in the experiment measurement process is obtained, and the mean value operation is performed on the environmental information of each time stage. The result is the environmental parameter.

[0075] As an implementation manner, the experiment measurement time of the control oil pipe is divided into three time stages with 24 hours as a unit, the environmental information corresponding to the three time stages is obtained, and the environmental information of the three time stages is respectively: the environmental information of the first time stage: temperature a1 and pressure a2; the environmental information of the second time stage: temperature b1 and pressure b2; and the environmental information of the third time stage: temperature c1 and pressure c2. The mean value operation is performed on the environmental information corresponding to the three time stages, and the environmental parameters are determined as: temperature=(temperature a1+temperature b1+temperature c1) / 3 and pressure=(pressure a2+pressure b2+pressure c2) / 3.

[0076] ​In an embodiment of the present application, since the experimental measurement of the reference oil pipe requires experimental measurement of both the service mileage and the first leakage time, and the experimental measurement of the reference oil pipe takes a long time, the environmental information of the reference oil pipe may change at different time stages during the experimental verification. To ensure the accuracy of the subsequent determination of the predicted mileage of the measured oil pipe, the experimental measurement time of the reference oil pipe can be processed in segments, and the environmental parameters of each time segment can be obtained. Subsequently, the corresponding simulation environment can be established according to the environmental parameters of each time segment.

[0077] As an implementation manner, since the experimental measurement time of the reference oil pipe includes summer, autumn and winter, to ensure the accurate acquisition of the predicted mileage of the measured oil pipe, the experimental measurement time of the reference oil pipe can be processed in segments according to summer, autumn and winter, and the environmental parameters of each time segment, i.e. the environmental parameters of summer, the environmental parameters of autumn and the environmental parameters of winter, can be obtained. The measured oil pipe can be subjected to a simulation experiment based on the environmental parameters of summer, the environmental parameters of autumn and the environmental parameters of winter.

[0078] At step 302, a simulation environment is constructed based on the environmental parameters, and a simulation experiment is performed on the measured oil pipe in the simulation environment to obtain a second leakage time of the measured oil pipe.

[0079] It should be noted that based on the environmental parameters, the simulation parameters of the initial simulation environment are adjusted to obtain the simulation environment, and the leakage time of the measured oil pipe is measured in the simulation environment to determine the second leakage time of the measured oil pipe.

[0080] It should be noted that the simulation environment can be adjusted according to the simulation parameters to realize simulation operations such as temperature, humidity, medium, vibration, pressure, road sandstone impact, etc. The temperature adjustment of the simulation environment can be realized by a temperature adjustment device, the humidity adjustment of the simulation environment can be realized by a humidity adjustment device, the medium adjustment of the simulation environment can be realized by selecting a corresponding medium for the reference oil pipe, the vibration adjustment of the simulation environment can be realized by a pulse and vibration adjustment device, the pressure adjustment of the simulation environment can be realized by a pressure adjustment device, and the sandstone adjustment of the simulation environment can be realized by a sandstone impact device.

[0081] In an embodiment of the present application, based on the environmental information corresponding to each time stage, the environmental parameters of the reference oil pipe are obtained. Based on the environmental parameters, the simulation parameters of the simulation environment are adjusted to ensure that the simulation parameters of the simulation environment are the same as the environmental parameters, and then the measured oil pipe is measured for the second leakage time in the same environment as the reference oil pipe, so as to ensure the accuracy of the predicted mileage.

[0082] As an implementation manner, the environment parameters, i.e., temperature M and pressure N, are determined based on the environment information corresponding to the time stage, the simulation parameters of the simulation environment are adjusted according to the environment parameters, and the simulation parameters of the simulation environment are ensured to be the same as the environment parameters, so that the simulation parameters are simulation temperature M and simulation pressure N, so as to ensure that the measured oil pipe is measured in the same environment as the control oil pipe, and the accuracy of the predicted mileage is ensured.

[0083] In an embodiment of the present application, a summer simulation environment, an autumn simulation environment and a winter simulation environment are established based on the environment parameters of summer, autumn and winter respectively, the measured oil pipe is sequentially placed into the summer simulation environment, the autumn simulation environment and the winter simulation environment according to the experimental test sequence of the corresponding oil pipe, and the leakage time of the measured oil pipe in each time period is obtained, i.e., the leakage time of summer, the leakage time of autumn and the leakage time of winter, and the second leakage time of the measured oil pipe is calculated by squaring the leakage time of summer, the leakage time of autumn and the leakage time of winter. Moreover, the time of the measured oil pipe in the simulation experiment in different simulation environments is the same as the time of the control oil pipe in the corresponding environment parameters, and the accuracy of the predicted mileage is ensured.

[0084] According to the oil pipe detection method of the present application, the environment parameters of the control oil pipe are determined by obtaining the environment information corresponding to each time stage, so that the environment parameters of the control oil pipe can reflect the actual working scene of the control oil pipe, and the accuracy of the subsequent determination of the predicted mileage of the measured oil pipe is improved. By establishing a simulation environment, the measured oil pipe can measure the second leakage time in the same environment as the control oil pipe, and the accuracy of the subsequent determination of the predicted mileage of the measured oil pipe is further improved.

[0085] It should be noted that the corresponding relationship between the use mileage and the leakage time can be determined to determine the predicted mileage of the measured oil pipe. Optionally, as shown in Figure 4 Figure 4 A flowchart of another oil pipe detection method provided by an embodiment of the present application is shown in the figure, and the method comprises the following steps:

[0086] Step 401: determining the corresponding relationship between the use mileage and the leakage time according to the use mileage and the first leakage time.

[0087] It should be noted that the production batch of the measured oil pipe is the same as that of the control oil pipe, and the accuracy of the determination of the predicted mileage based on the corresponding relationship between the use mileage and the leakage time can be improved.

[0088] ​In an embodiment of the present application, the correspondence between the service mileage and the leakage time is determined by comparing the service mileage and the first leakage time of the reference tubing, and the correspondence between the service mileage and the leakage time is used as the correspondence between the predicted mileage and the second leakage time of the measured tubing, so as to determine the predicted mileage.

[0089] In an embodiment of the present application, the correspondence between the service mileage and the leakage time is determined by comparing the service mileage and the first leakage time of the reference tubing, and the correspondence between the service mileage and the leakage time is determined by comparing the service mileage and the first leakage time of the reference tubing, and the correspondence between the service mileage and the leakage time is used as the correspondence between the predicted mileage and the second leakage time of the measured tubing, so as to determine the predicted mileage.

[0090] Step 402, determining the predicted mileage of the measured tubing according to the second leakage time and the correspondence.

[0091] In an embodiment of the present application, if the correspondence between the service mileage and the leakage time is used as the correspondence between the predicted mileage and the second leakage time of the measured tubing, it can be understood that the ratio of the predicted mileage of the measured tubing to the second leakage time is equal to the correspondence between the service mileage and the leakage time. As shown above, the calculation formula (1) of the predicted mileage is as follows:

[0092] S = Q x T (1)

[0093] Wherein, S is the predicted mileage of the measured tubing, T is the second leakage time of the measured tubing, and Q is the correspondence between the service mileage and the leakage time.

[0094] It should be noted that the correspondence between the service mileage and the leakage time is equal to the ratio of the service mileage of the reference tubing to the first leakage time of the reference tubing. As shown above, the calculation formula (2) of the correspondence Q is as follows:

[0095]

[0096] Wherein, N is the service mileage of the reference tubing, and T N is the first leakage time of the reference tubing.

[0097] Substituting the calculation formula (2) into the calculation formula (1), the calculation formula (3) of the predicted mileage is obtained as follows:

[0098]

[0099] In an embodiment of the present application, m times of the correspondence between the service mileage and the leakage time can be used as the correspondence between the predicted mileage of the measured oil pipe and the second leakage time, which can be understood as that the ratio of the predicted mileage of the measured oil pipe to the second leakage time is equal to m times of the correspondence between the service mileage and the leakage time. As shown above, the calculation formula (4) of the predicted mileage is as follows:

[0100] S = m x Q x T... (4)

[0101] wherein S is the predicted mileage of the measured oil pipe, T is the second leakage time of the measured oil pipe, Q is the correspondence between the service mileage and the leakage time, and m is the multiple between the ratio of the predicted mileage of the measured oil pipe to the second leakage time and the correspondence between the service mileage and the leakage time.

[0102] It should be noted that the correspondence between the service mileage and the leakage time is equal to the ratio of the service mileage of the reference oil pipe to the first leakage time of the reference oil pipe; as shown above, the calculation formula (2) of the correspondence Q is as follows:

[0103]

[0104] wherein N is the service mileage of the reference oil pipe, and T N is the first leakage time of the reference oil pipe.

[0105] The calculation formula (2) is substituted into the calculation formula (4), and the calculation formula (5) of the predicted mileage is obtained as follows:

[0106]

[0107] According to the oil pipe detection method of the present application, the correspondence between the service mileage and the leakage time is determined, the predicted mileage of the measured oil pipe is determined according to the second leakage time, and the accuracy of determining the predicted mileage of the measured oil pipe is improved.

[0108] In an embodiment of the present application, as Figure 5 shown, Figure 5 the flowchart of another oil pipe detection method provided by the embodiment of the present application is as follows, when the predicted mileage of the measured oil pipe needs to be detected:

[0109] Step 51, an oil pipe with the same production batch as the measured oil pipe is selected as a reference oil pipe, and the service mileage and the first leakage time of the reference oil pipe are obtained.

[0110] Step 52, a simulation experiment is performed on the measured oil pipe based on the environmental parameters of the reference oil pipe, and the second leakage time is obtained, wherein the environmental parameters are the same as the simulation parameters.

[0111] Step 53, the usage mileage, the first leakage time and the second leakage time are substituted into the calculation formula (3) of the predicted mileage to calculate the predicted mileage of the measured oil pipe.

[0112] According to the oil pipe detection method provided in the embodiments of the present application, the usage mileage and the first leakage time of the control oil pipe are obtained, which provides a data basis for subsequent determination of the predicted mileage of the measured oil pipe, and improves the accuracy of determination of the predicted mileage of the measured oil pipe. The measured oil pipe is subjected to a simulation experiment, so that the measured oil pipe and the control oil pipe are subjected to experiments under the same environmental parameters, and the accuracy of detection of the predicted mileage of the measured oil pipe is further ensured, so that the predicted mileage is closer to the actual mileage of the measured oil pipe.

[0113] It should be understood that, although each step in the flowchart involved in each of the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each of the above embodiments can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0114] Based on the same inventive concept, the embodiments of the present application also provide an oil pipe detection device for implementing the above-mentioned oil pipe detection method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more oil pipe detection device embodiments provided below can refer to the limitations of the oil pipe detection method in the above text, and will not be repeated here.

[0115] In one embodiment, as shown in Figure 6 , Figure 6 The structural block diagram of an oil pipe detection device provided by the embodiments of the present application provides an oil pipe detection device, which comprises: an acquisition module 610, an experiment module 620 and a calculation module 630, wherein:

[0116] The acquisition module 610 is configured to acquire the usage mileage and the first leakage time of the control oil pipe.

[0117] The experiment module 620 is configured to perform a simulation experiment on the measured oil pipe based on the environmental parameters in which the control oil pipe is located, to obtain the second leakage time of the measured oil pipe.

[0118] The calculating module 630 is configured to calculate the predicted mileage of the measured oil pipe based on the usage mileage, the first leakage time and the second leakage time.

[0119] According to the oil pipe detection device, the usage mileage and the first leakage time of the control oil pipe are obtained, data basis for subsequently determining the predicted mileage of the measured oil pipe is provided, and the accuracy of determining the predicted mileage of the measured oil pipe is improved. The measured oil pipe is subjected to a simulation experiment, the measured oil pipe and the control oil pipe are ensured to be subjected to the experiment under the same environmental parameters, and the accuracy of detecting the predicted mileage of the measured oil pipe is further ensured, so that the predicted mileage is closer to the actual mileage of the measured oil pipe.

[0120] In one embodiment, as shown in Figure 7 , Figure 7 The structure block diagram of another oil pipe detection device provided by the embodiment of the application provides an oil pipe detection device. The experiment module 720 in the oil pipe detection device includes an extraction unit 721 and an experiment unit 722.

[0121] The extraction unit 721 is configured to obtain environmental information of a control oil pipe and extract environmental parameters based on the environmental information.

[0122] It should be noted that the environmental parameters include temperature, humidity, medium, vibration, pressure, road stone impact and the like.

[0123] It should be noted that the control oil pipe is subjected to stage detection processing, and the environmental information corresponding to each time stage is obtained. The environmental parameters of the control oil pipe are obtained based on the environmental information.

[0124] The experiment unit 722 is configured to construct a simulation environment based on the environmental parameters, perform a simulation experiment on the measured oil pipe in the simulation environment, and obtain a second leakage time of the measured oil pipe.

[0125] It should be noted that the simulation parameters of the initial simulation environment are adjusted based on the environmental parameters, and the simulation environment is obtained. The leakage time of the measured oil pipe is measured in the simulation environment, and the second leakage time of the measured oil pipe is determined.

[0126] Among them, Figure 7 710 and 730 and Figure 6 610 and 630 have the same functions and structures.

[0127] According to the oil pipe detection device provided in the application, the environment parameter of the reference oil pipe is determined by obtaining the environment information corresponding to each time stage, so that the environment parameter of the reference oil pipe can reflect the actual working scene of the reference oil pipe, and the accuracy of determining the predicted mileage of the measured oil pipe is improved. The second leakage time of the measured oil pipe is measured in the same environment as the reference oil pipe by establishing a simulation environment, and the accuracy of determining the predicted mileage of the measured oil pipe is further improved.

[0128] In one embodiment, as shown in Figure 8 , Figure 8 The structure block diagram of another oil pipe detection device provided in the embodiment of the application provides an oil pipe detection device. The calculation module 830 of the oil pipe detection device includes a first determination unit 831 and a second determination unit 832.

[0129] The first determination unit 831 is configured to determine the corresponding relationship between the use mileage and the leakage time according to the use mileage and the first leakage time.

[0130] The second determination unit 832 is configured to determine the predicted mileage of the measured oil pipe according to the second leakage time and the corresponding relationship.

[0131] It should be noted that the production batch of the measured oil pipe is the same as that of the reference oil pipe.

[0132] Among them, Figure 8 The modules 810 and 820 and Figure 7 The modules 710 and 720 have the same functions and structures.

[0133] According to the oil pipe detection device provided in the application, the corresponding relationship between the use mileage and the leakage time is determined, the predicted mileage of the measured oil pipe is determined according to the second leakage time, and the accuracy of determining the predicted mileage of the measured oil pipe is improved.

[0134] The modules in the oil pipe detection device described above can be all or part of software, hardware and a combination thereof. The modules described above 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 in the computer device in the form of software, so as to call and execute the operations corresponding to the modules by the processor.

[0135] In one embodiment, a computer device is provided, which can be a terminal. The internal structure diagram of the computer device can be as shown in Figure 9As shown in the figure. 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 operating system and the computer program in the non-volatile storage medium to run. The communication interface of the computer device is used for wired or wireless communication with external terminals. Wireless mode can be achieved through WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement an oil pipe detection method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0136] Those skilled in the art can understand that, Figure 9 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0137] In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the following steps:

[0138] Obtain the use mileage and the first leakage time of the control oil pipe;

[0139] Based on the environmental parameters of the control oil pipe, perform a simulation experiment on the measured oil pipe to obtain the second leakage time of the measured oil pipe;

[0140] Based on the use mileage, the first leakage time and the second leakage time, determine the predicted mileage of the measured oil pipe.

[0141] In one embodiment, the processor executing the computer program further implements the following steps:

[0142] Obtain the environmental information of the control oil pipe, and extract the environmental parameters based on the environmental information;

[0143] Based on the environmental parameters, construct a simulation environment, and perform a simulation experiment on the measured oil pipe in the simulation environment to obtain the second leakage time of the measured oil pipe.

[0144] In one embodiment, the processor executing the computer program further implements the following steps:

[0145] The control oil pipe is subjected to stage detection processing to obtain environment information corresponding to each time stage;

[0146] Based on the environment information, an environment parameter of the control oil pipe is obtained.

[0147] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0148] Based on the environment parameter, a simulation parameter of the initial simulation environment is adjusted to obtain a simulation environment;

[0149] The leak time of the measured oil pipe is measured in the simulation environment to determine a second leak time of the measured oil pipe.

[0150] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0151] The production batch of the measured oil pipe is the same as that of the control oil pipe.

[0152] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0153] According to the use mileage and the first leak time, a corresponding relationship between the use mileage and the leak time is determined;

[0154] According to the second leak time and the corresponding relationship, a predicted mileage of the measured oil pipe is determined.

[0155] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0156] The environment parameter includes temperature, humidity, medium, vibration, pressure, road sandstone impact, etc.

[0157] In one embodiment, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0158] The use mileage and the first leak time of the control oil pipe are obtained;

[0159] Based on the environment parameter of the control oil pipe, a simulation experiment is performed on the measured oil pipe to obtain a second leak time of the measured oil pipe;

[0160] Based on the use mileage, the first leak time and the second leak time, a predicted mileage of the measured oil pipe is determined.

[0161] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0162] The environment information of the control oil pipe is obtained, and the environment parameter is extracted based on the environment information;

[0163] The simulated environment is constructed based on the environmental parameters, and a simulation experiment is performed on the measured oil pipe in the simulated environment to obtain a second leakage time of the measured oil pipe.

[0164] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0165] The control oil pipe is subjected to a stage detection process to obtain environmental information corresponding to each time stage;

[0166] Based on the environmental information, an environmental parameter of the control oil pipe is obtained.

[0167] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0168] Based on the environmental parameter, a simulation parameter of the initial simulated environment is adjusted to obtain the simulated environment;

[0169] The leakage time of the measured oil pipe is measured in the simulated environment to determine a second leakage time of the measured oil pipe.

[0170] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0171] The production batch of the measured oil pipe is the same as that of the control oil pipe.

[0172] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0173] According to the use mileage and the first leakage time, a corresponding relationship between the use mileage and the leakage time is determined;

[0174] According to the second leakage time and the corresponding relationship, a predicted mileage of the measured oil pipe is determined.

[0175] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0176] The environmental parameter includes temperature, humidity, medium, vibration, pressure, road sandstone impact, etc.

[0177] In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the following steps:

[0178] The use mileage and the first leakage time of the control oil pipe are obtained;

[0179] Based on the environmental parameter of the control oil pipe, a simulation experiment is performed on the measured oil pipe to obtain a second leakage time of the measured oil pipe;

[0180] Based on the use mileage, the first leakage time and the second leakage time, a predicted mileage of the measured oil pipe is determined.

[0181] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0182] Obtaining environment information of the control oil pipe, and extracting environment parameters based on the environment information;

[0183] Based on the environment parameters, a simulation environment is constructed, and a simulation experiment is performed on the measured oil pipe in the simulation environment to obtain a second leakage time of the measured oil pipe.

[0184] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0185] Performing stage detection processing on the control oil pipe to obtain environment information corresponding to each time stage;

[0186] Based on each environment information, environment parameters of the control oil pipe are obtained.

[0187] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0188] Based on the environment parameters, the simulation parameters of the initial simulation environment are adjusted to obtain the simulation environment;

[0189] The leakage time of the measured oil pipe is measured in the simulation environment to determine the second leakage time of the measured oil pipe.

[0190] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0191] The production batch of the measured oil pipe is the same as that of the control oil pipe.

[0192] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0193] According to the use mileage and the first leakage time, a corresponding relationship between the use mileage and the leakage time is determined;

[0194] According to the second leakage time and the corresponding relationship, a predicted mileage of the measured oil pipe is determined.

[0195] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0196] The environment parameters include temperature, humidity, medium, vibration, pressure, road sandstone impact, etc.

[0197] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0198] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0199] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for inspecting oil pipes, characterized in that, The method includes: Obtain the mileage and first leak time of the control tubing; Based on the environmental parameters of the control oil pipe, a simulation experiment was conducted on the tested oil pipe to obtain the second leakage time of the tested oil pipe; wherein, the production batch of the tested oil pipe is the same as that of the control oil pipe; the environmental parameters include temperature, humidity, medium, vibration, pressure, and road sand and gravel impact. Based on the usage mileage and the first leakage time, determine the correspondence between usage mileage and leakage time; Based on the second leakage time and the corresponding relationship, the predicted mileage of the tested oil pipe is determined.

2. The method according to claim 1, characterized in that, The step of conducting a simulation experiment on the tested oil pipe based on the environmental parameters of the control oil pipe to obtain the second leakage time of the tested oil pipe includes: Obtain the environmental information of the control tubing, and extract the environmental parameters based on the environmental information; A simulation environment is constructed based on the environmental parameters, and a simulation experiment is conducted on the tested oil pipe in the simulation environment to obtain the second leakage time of the tested oil pipe.

3. The method according to claim 2, characterized in that, The step of obtaining the environmental information of the control tubing and extracting the environmental parameters based on the environmental information includes: The control tubing was subjected to phased detection processing to obtain environmental information corresponding to each time phase; Based on the environmental information provided, the environmental parameters of the control tubing are obtained.

4. The method according to claim 2, characterized in that, The process of constructing a simulation environment based on the environmental parameters, conducting a simulation experiment on the tested oil pipe within the simulation environment, and obtaining the second leakage time of the tested oil pipe includes: Based on the environmental parameters, the simulation parameters of the initial simulation environment are adjusted to obtain the simulation environment; The leakage time of the tested oil pipe is measured under the simulated environment to determine the second leakage time of the tested oil pipe.

5. The method according to claim 1, characterized in that, The simulation experiment was conducted during summer, autumn, and winter.

6. The method according to claim 1, characterized in that, The predicted mileage refers to the estimated mileage that a vehicle equipped with a control oil pipe can travel from the initial commissioning of the tested oil pipe until the tested oil pipe ruptures.

7. An oil pipe inspection device, characterized in that, The device includes: The acquisition module is used to obtain the usage mileage and first leakage time of the control tubing; The experimental module is used to conduct a simulation experiment on the tested oil pipe based on the environmental parameters of the control oil pipe to obtain the second leakage time of the tested oil pipe; wherein the production batch of the tested oil pipe is the same as that of the control oil pipe; the environmental parameters include temperature, humidity, medium, vibration, pressure, and road sand and gravel impact. The calculation module is used to determine the correspondence between the usage mileage and the leakage time based on the usage mileage and the first leakage time; and to determine the predicted mileage of the tested oil pipe based on the second leakage time and the correspondence.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

Citation Information

Patent Citations

  • Cracking time prediction model acquisition method, cracking time prediction equipment and medium

    CN113902157A