Device, method and equipment for detecting loose connection of automobile cable

Abstract

The invention discloses a device, a method and equipment for detecting loose connection of an automobile cable, and belongs to the technical field of automobile cable detection. The device comprises a temperature data acquisition module which is used for acquiring temperature data of an automobile cable in an automobile running process; the stress data acquisition module is used for acquiring stress data of the automobile cable if the temperature data is identified to exceed a set temperature threshold value; the data feature identification module is used for identifying data features of the stress data; and the abnormity identification module is used for determining that the connection loosening abnormity exists in the automobile cable under the condition that the data characteristics are matched with the preset fluctuation characteristics. According to the technical scheme, whether connection looseness exists in the cable or not in the automobile running process can be detected in real time, the defects that normal travel is affected and problem discovery is lagged due to traditional manual overhaul are overcome, the problem of cable connection looseness can be found in time, safe running of the automobile cable is guaranteed, and the safety of a user for using the automobile is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of automobile cable detection, and particularly relates to a detection device, method and equipment for loose connection of an automobile cable. BACKGROUND

[0002] At present, with the continuous improvement of the economic level, automobiles have become one of the necessities of family life. With the continuous increase in the number of automobiles, the safe operation of automobile cables has become an important factor in protecting the user's life and travel. The current fault maintenance mode of automobile cables often involves moving the automobile to a repair shop for manual maintenance after a problem occurs. This not only affects the normal travel of the user, but also has a lag in problem discovery, which is not conducive to the normal use of the vehicle. Therefore, how to detect the automobile cable during the operation of the automobile and discover problems in real time is a technical problem that technicians in the field are closely concerned about. SUMMARY

[0003] The embodiments of the application provide a detection device, method and equipment for loose connection of an automobile cable, which aims to detect the cable in real time during the operation of the automobile, overcome the drawbacks of traditional manual maintenance affecting normal travel and problem discovery lag, can timely discover the loose connection problem of the cable, ensure the safe operation of the automobile cable, and improve the safety of the user's use of the vehicle.

[0004] In a first aspect, the embodiments of the application provide a detection device for loose connection of an automobile cable, and the device comprises: a temperature data acquisition module configured to acquire temperature data of the automobile cable during the operation of the automobile; a stress data acquisition module configured to acquire stress data of the automobile cable if it is identified that the temperature data exceeds a set temperature threshold; a data feature identification module configured to identify a data feature of the stress data; an abnormality identification module configured to determine that the automobile cable has a loose connection abnormality if the data feature matches a pre-set fluctuation feature.

[0005] Further, the device further comprises: a stress feature acquisition module configured to acquire stress data of the loose automobile cable during the operation of the automobile if the automobile cable has a loose connection, and perform feature extraction on the stress data to obtain a feature extraction result; a fluctuation feature generation module configured to statistically analyze the feature extraction results of stress data exceeding a preset number to obtain a pre-set fluctuation feature.

[0006] Further, the device further comprises: The cable parameter acquisition module is configured to acquire basic parameters of the automobile cable, wherein the basic parameters include a length parameter, a wire diameter parameter, and a connection mode parameter. The fluctuation feature generation module is configured to statistically analyze feature extraction results of stress data exceeding a preset number based on the basic parameters to obtain a pre-set fluctuation feature.

[0007] Further, the fluctuation feature generation module includes: A correction parameter determination unit configured to determine a correction parameter of the fluctuation feature based on the basic parameters, and correct feature extraction results of stress data of the loose automobile cable using the correction parameter to obtain corrected features. A fluctuation feature generation unit configured to statistically analyze the corrected features to obtain a pre-set fluctuation feature.

[0008] Further, the device further includes: An ambient temperature acquisition module configured to acquire an external ambient temperature of the automobile cable. A dynamic adjustment module configured to dynamically adjust the set temperature threshold based on the external ambient temperature.

[0009] Further, the dynamic adjustment module is specifically configured to: Determine a proportional relationship between the external ambient temperature and a preset reference temperature. Take a product of the proportional relationship and a reference temperature threshold as the set temperature threshold.

[0010] Further, the device further includes: An abnormality reminding module configured to generate prompt information in a case where it is determined that the automobile cable has a connection loosening abnormality, wherein the prompt information includes installation position information and function information of the automobile cable.

[0011] In a second aspect, the embodiments of the present application provide a method for detecting connection loosening of an automobile cable, and the method includes: Acquiring temperature data of the automobile cable during automobile operation; If it is identified that the temperature data exceeds a set temperature threshold, acquiring stress data of the automobile cable; Identifying data features of the stress data; In a case where the data features match pre-set fluctuation features, determining that the automobile cable has a connection loosening abnormality.

[0012] Further, the method further includes: In the case that the automobile cable exists connection looseness, stress data of the automobile cable with looseness is collected during automobile operation, and feature extraction is performed on the stress data to obtain a feature extraction result. The feature extraction results of stress data exceeding the preset number are statistically analyzed to obtain a preset fluctuation feature.

[0013] In a third aspect, an electronic device is provided, which includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, and the program or instructions are executed by the processor to implement the steps of the method described above.

[0014] In a fourth aspect, a readable storage medium is provided, which stores a program or instructions, and the program or instructions are executed by a processor to implement the steps of the method described above.

[0015] In the embodiments of the present application, the temperature data acquisition module is configured to acquire temperature data of the automobile cable during automobile operation; the stress data acquisition module is configured to acquire stress data of the automobile cable if it is identified that the temperature data exceeds a set temperature threshold; the data feature identification module is configured to identify data features of the stress data; and the abnormality identification module is configured to determine that the automobile cable exists connection looseness abnormality if the data features match a preset fluctuation feature. Through identification of the temperature data and the stress data, the present technical solution can identify whether the automobile cable exists looseness abnormality during automobile operation, so as to find the operation safety problem of the automobile cable in time, provide higher safety for the user's travel use, and also can early plan the repair work of the automobile cable to avoid affecting the normal use of the automobile. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 FIG. 1 is a structural schematic diagram of a detection device for automobile cable connection looseness provided by an embodiment of the present application; Figure 2 FIG. 2 is a structural schematic diagram of a detection device for automobile cable connection looseness provided by an embodiment of the present application; Figure 3 FIG. 3 is a flow schematic diagram of a detection method for automobile cable connection looseness provided by an embodiment of the present application; Figure 4 FIG. 4 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the purposes, technical solutions and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below with reference to the drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, but not all. Before discussing the example embodiments in more detail, it should be mentioned that some example embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The processes can be terminated when the operations are completed, but can also have additional steps not included in the drawings. The processes can correspond to methods, functions, procedures, subroutines, etc.

[0018] The technical solutions in the embodiments of the present application will be described clearly below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art belong to the scope of protection of the present application.

[0019] The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second" and the like are generally a kind, and do not limit the number of objects, for example, the first object can be one or more. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / ", generally means that the front and rear associated objects are in an "or" relationship.

[0020] The automobile cable connection loosening detection device, method and equipment provided by the embodiments of the present application will be described in detail below with reference to the drawings, through specific embodiments and application scenarios.

[0021] Embodiment one Figure 1 is a structural schematic diagram of the automobile cable connection loosening detection device provided by the first embodiment of the present application. As shown in Figure 1 , specifically comprising: The temperature data acquisition module 110 is configured to acquire temperature data of the automobile cable during the running of the automobile. Firstly, the application is suitable for the scene of real-time detection of loose connection of automobile cable. Based on the above use scene, it can be understood that the execution subject of the application can be a car control or a management system or management platform connected with the car, which can run on a terminal device or a server.

[0022] The automobile cable can be a cable inside the car for transmitting power or signals, which is composed of copper or aluminum core wire, insulation layer and sheath. Some special function cables can also be provided with a shielding layer. Loose connection will cause the contact resistance to increase, affecting the normal function of the cable.

[0023] The temperature data is a digital representation of the real-time temperature of the cable. The scheme can sense the surface temperature of the cable through a temperature sensor and transmit it to the car control.

[0024] In the scheme, the automobile cable plays a transmission function during the operation of the automobile, and the loose connection is more obvious during the shaking process.

[0025] The stress data acquisition module 120 is used to acquire the stress data of the automobile cable if the temperature data exceeds the set temperature threshold. The set temperature threshold can be 55℃, which can be dynamically corrected according to the real-time current and stored in EEPROM without loss of power.

[0026] Among them, strain gauges can be used to collect stress data. Stress data is a micro-strain signal generated by the stress deformation of the cable.

[0027] In the scheme, stress detection can be triggered when the average temperature or single-point temperature value exceeds the set temperature threshold in multiple sampling periods. After collecting the stress data, it can be transmitted to the car control and stored in the buffer.

[0028] The data feature recognition module 130 is used to identify the data features of the stress data. Among them, the data features can include time domain features and frequency domain features, the time domain features include mean, variance and kurtosis, and the frequency domain features include specific frequency band energy ratio and peak frequency.

[0029] In the scheme, the input stress data can be plotted to further identify the characteristic changes of the stress data over time, and the curve can also be used to determine the amplitude of each jump, etc., to determine the data features of the stress data.

[0030] The abnormality recognition module 140 is used to determine that the automobile cable has a loose connection abnormality if the data features match the pre-set fluctuation features.

[0031] The fluctuation feature is a feature presented by the connection loosening through pre-experiment statistics. For example, if the connection loosening phenomenon exists, the fluctuation feature is that the stress data jumps once every few seconds.

[0032] When the similarity between the real-time feature vector and the pre-set fluctuation feature is high, it is determined to be abnormal. In addition, additional conditions can be set in the process of abnormality identification, such as simultaneously meeting the temperature rising rate and other conditions.

[0033] In the scheme, the similarity is calculated by comparing the data feature of the stress data with the pre-set fluctuation feature, and whether the automobile cable has the connection loosening abnormality is determined, so that the identification result is more accurate.

[0034] The technical scheme provided by the embodiment comprises: a temperature data acquisition module, configured to acquire temperature data of an automobile cable during automobile operation; a stress data acquisition module, configured to acquire stress data of the automobile cable if it is identified that the temperature data exceeds a set temperature threshold; a data feature identification module, configured to identify a data feature of the stress data; and an abnormality identification module, configured to determine that the automobile cable has a connection loosening abnormality if the data feature matches a pre-set fluctuation feature. The technical scheme can realize real-time detection of the connection loosening of the automobile cable based on a joint detection mechanism of temperature and stress. Compared with traditional manual maintenance, the technical scheme can early warn hidden dangers, reduce the risk of vehicle breakdown, reduce maintenance costs, and effectively prevent vehicle failures caused by cable loosening and other problems.

[0035] Embodiment Two Figure 2 is a structural schematic diagram of a detection device for automobile cable connection loosening provided by Embodiment Two of the application. The scheme makes a more optimal improvement on the above-mentioned embodiments, and the specific improvement is that the device further comprises: a stress feature acquisition module, configured to acquire stress data of the loosened automobile cable during automobile operation if the automobile cable has the connection loosening, and perform feature extraction on the stress data to obtain a feature extraction result; and a fluctuation feature generation module, configured to statistically analyze the feature extraction results of more than a preset number of stress data to obtain a pre-set fluctuation feature.

[0036] As shown in Figure 2 , specifically comprising: A temperature data acquisition module 210 is configured to acquire temperature data of an automobile cable during automobile operation. A stress data acquisition module 220 is configured to acquire stress data of the automobile cable if it is identified that the temperature data exceeds a set temperature threshold. A data feature identification module 230 is configured to identify a data feature of the stress data. The abnormality identification module 240 is configured to determine that the automobile cable has a connection loosening abnormality when the data feature matches the preset fluctuation feature. The device further comprises: The stress feature acquisition module 250 is configured to acquire stress data of the loosened automobile cable during automobile operation when the automobile cable has a connection loosening, and perform feature extraction on the stress data to obtain a feature extraction result. The fluctuation feature generation module 260 is configured to perform statistical analysis on the feature extraction results of the stress data exceeding the preset number to obtain a preset fluctuation feature.

[0037] The loosened automobile cable can be a cable sample with a connection loosening constructed by manual simulation or a cable loosening historical sample. The simulation method includes intentionally loosening the screws of the cable connector or inserting an insulating sheet of a certain thickness at the connector to simulate poor contact. The actual fault case can be that after the cable connection is found to be loosened during automobile maintenance, a series of data of the cable before that is obtained as a cable loosening historical sample.

[0038] The stress data is a stress strain signal of the cable generated due to factors such as vibration, thermal expansion and contraction, engine shaking, etc. during vehicle operation. The data is stored in binary format, including a timestamp, a strain value, and a channel number, and the duration of each acquisition is not less than 5 minutes to cover different working conditions such as vehicle starting, acceleration, constant speed, or deceleration. Specifically, the voltage signal output by the strain gauge can be continuously collected under various working conditions after the vehicle starts.

[0039] In this scheme, after the collected stress data is collected, time domain features such as root mean square values can be extracted to reflect signal energy, and kurtosis values can be extracted to reflect signal impact. Frequency domain features such as frequency band energy proportion and peak frequency can also be extracted. The extracted feature values can be stored in CSV format, and each row contains a timestamp, a root mean square value, a kurtosis value, and a frequency band energy proportion.

[0040] The preset number of stress data can be at least 50 groups of stress feature data under different working conditions, and each group of data contains more than 30 minutes of continuous acquisition results, covering stress data under different loosening degrees and different driving road conditions such as urban roads, highways, and mountain roads.

[0041] In this scheme, the stress data can be read first, then the data can be classified according to different working conditions, and statistical analysis can be performed on each classification to obtain feature data under various working conditions.

[0042] The technical scheme provided by the embodiment can provide a data basis for subsequent cable loosening fault detection of different vehicle models, different use environments and different working conditions through collection and statistical analysis of feature data, improve identification accuracy, and provide protection for safe operation of automobile cables.

[0043] In an embodiment, optionally, the apparatus further comprises: The cable parameter acquisition module is configured to acquire basic parameters of the automobile cable, wherein the basic parameters include a length parameter, a wire diameter parameter and a connection mode parameter. The fluctuation feature generation module is specifically configured to perform statistical analysis on the feature extraction results of the stress data of more than a preset number of cables based on the basic parameters to obtain the pre-set fluctuation features.

[0044] The length parameter is the actual laying path length of the cable. The wire diameter parameter is the diameter of the cable conductor, which is obtained by calculating the pixel-to-actual size ratio after edge detection of the cable cross-sectional image using an image recognition algorithm. The connection mode parameter includes joint connection, crimping, welding and bolt connection, etc.

[0045] In the present scheme, the basic parameters of the cable can be determined based on the data information of the vehicle, and can also be determined by other means, such as manual input by staff and image recognition.

[0046] In the present scheme, during the training process, the influence of different lengths and different wire diameters on the fluctuation features can be obtained by considering the cable length and wire diameter parameters. Then, the connection mode parameter of the cable can also be considered, for example, bolt connection. When the bolt is loose, it will cause the cable connection to be loose, and if it is connected in other ways, the features generated by loosening may be different. Therefore, different data analysis and statistics can be performed for different connection modes to obtain more realistic loosening features.

[0047] The present technical scheme introduces cable basic parameters, and the fluctuation feature generation module realizes more refined fault feature modeling. The present scheme can accurately detect loosening of cables of different specifications, increases the universal applicability of cable loosening detection, improves the detection accuracy of cable loosening abnormalities, and avoids the trouble caused by misidentification of different cable models for users.

[0048] In an embodiment, optionally, the fluctuation feature generation module comprises: The correction parameter determination unit is configured to determine a correction parameter of the fluctuation feature based on the basic parameters, and correct the feature extraction results of the stress data of the loosened automobile cable using the correction parameter to obtain corrected features. The fluctuation feature generation unit is configured to statistically analyze the correction feature to obtain a preset fluctuation feature.

[0049] The correction parameter determination unit can automatically select a suitable correction scheme according to the specific parameters of the cable. The correction parameter of the fluctuation feature is a set of coefficients for adjusting the stress feature data, which are determined according to the length, thickness and connection mode of the cable, and the purpose is to eliminate the influence of different cable structures on the detection results.

[0050] The correction feature is the stress feature data after parameter adjustment, which more accurately reflects the real state of the cable and reduces the misjudgment caused by individual differences of the cable.

[0051] After obtaining the length, diameter and connection mode of the cable, the correction parameter determination unit will look up the corresponding correction coefficients in the pre-stored table. If no complete matching parameter combination can be found, the coefficients of similar cables are estimated by calculation. The original stress feature data is substituted into the correction formula, and the data value is adjusted by calculation, so that the feature data of different cables are comparable.

[0052] The fluctuation feature generation unit is a unit capable of classifying and summarizing the corrected stress feature data. It can process a large amount of corrected feature data to find the common features of the data, so as to determine whether the cable has a loose connection abnormality. The corrected feature data can be combined with the actual parameters of the target automotive cable to be detected to obtain an abnormal state recognition result for any target automotive cable.

[0053] The technical scheme improves the accuracy of cable connection loose fault detection by correcting and analyzing different cable characteristics. The scheme can accurately identify cable connection loose faults under various environmental conditions. After obtaining the unified corrected stress feature data, the stress feature data of the target automotive cable to be detected can be determined by combining the parameters of the target automotive cable to be detected, so that the purpose of using the same cable for different parameters can be achieved.

[0054] In one embodiment, the device can further comprise: The environmental temperature acquisition module is configured to acquire the external environmental temperature of the automotive cable. The dynamic adjustment module is configured to dynamically adjust the set temperature threshold according to the external environmental temperature.

[0055] The external environmental temperature of the automotive cable refers to the actual temperature of the air around the cable, which is different from the temperature generated by the cable itself. The external environmental temperature is affected by many factors, such as the high temperature or cold environment in which the vehicle is running, the heat generated by the engine when it is working, and the running state of the air conditioning system in the vehicle.

[0056] In this scheme, the microcontroller in the vehicle can send instructions to the temperature sensor to read the temperature at regular intervals. The microcontroller receives the actual temperature value as the external environment temperature.

[0057] The set temperature threshold is a temperature standard value for judging whether the automobile cable is abnormal. The initial value is set to 45℃, which is determined according to the safe temperature that the cable insulation material can withstand. In this scheme, the set temperature threshold is not fixed and can be dynamically adjusted according to the change of the external environment temperature. For example, in a high temperature environment of 40℃, the threshold may be increased to 55℃; in a low temperature environment of -20℃, the threshold may be reduced to 25℃.

[0058] In this scheme, according to the current measured environment temperature, a corresponding relationship table stored in the internal storage is queried to obtain a basic threshold adjustment value. For example, for every 10℃ increase in the environment temperature, the threshold will be increased by 3℃. Then, the final temperature threshold is calculated according to the difference between the current environment temperature and the standard temperature.

[0059] The technical scheme can automatically adapt to various complex temperature environments through the cooperative work of the environment temperature acquisition module and the dynamic adjustment module. Compared with the traditional method of using a fixed threshold, this dynamic adjustment scheme can reduce the probability of false alarms. At the same time, dynamic adjustment of the threshold can effectively avoid false alarms caused by sudden changes in the environment temperature, improve the accuracy of automobile cable fault detection, and ensure the safe operation of the vehicle electrical system.

[0060] In one embodiment, the dynamic adjustment module is specifically used for: determining the proportional relationship between the external environment temperature and the preset reference temperature; multiplying the proportional relationship and the reference temperature threshold to obtain the set temperature threshold.

[0061] The preset reference temperature is a reference temperature value set in advance. The reference temperature threshold is an initial temperature standard for judging whether the cable is abnormal at the preset reference temperature.

[0062] The proportional relationship refers to the relative size relationship between the actually measured environment temperature and the preset reference temperature, which reflects whether the environment temperature has increased or decreased relative to the reference temperature and the degree of change.

[0063] In the scheme, the proportion relationship can be obtained by comparing the current measured ambient temperature with the preset reference temperature. For example, if the actual measured ambient temperature is higher than the preset reference temperature, the proportion relationship is greater than 1; if the actual ambient temperature is lower than the reference temperature, the proportion relationship is less than 1.

[0064] In the scheme, the reference temperature threshold is adjusted according to the proportion relationship between the ambient temperature and the reference temperature obtained in the foregoing. If the proportion relationship is greater than 1, the reference temperature threshold is increased; if the proportion relationship is less than 1, the reference temperature threshold is decreased. The new temperature threshold after adjustment can be synchronized to the abnormality identification module to more accurately determine whether the cable is abnormal.

[0065] The technical scheme can dynamically adjust the temperature threshold according to the proportion relationship between the ambient temperature and the reference temperature, and can more flexibly adapt to different ambient temperature changes. When the ambient temperature changes in a large range, the probability of false alarm can be controlled at a very low level by using this dynamic adjustment method, which improves the detection accuracy compared with using a fixed temperature threshold, and can more timely and accurately find cable faults, thereby ensuring the safe operation of the automobile electrical system.

[0066] In one embodiment, the device further comprises: The abnormality reminding module is configured to generate prompt information when it is determined that the automobile cable has a connection looseness abnormality. The prompt information includes installation position information and function information of the automobile cable.

[0067] The prompt information is reminder content presented in the form of text, voice or image, and is used to clearly convey key information of the cable abnormality.

[0068] The installation position information refers to the specific installation position of the automobile cable in the vehicle, such as the left wire harness in the engine compartment or the connection wire harness under the driver's seat, which facilitates the maintenance personnel to quickly locate the faulty cable.

[0069] The function information is an explanation of the role of the automobile cable in the vehicle system, such as being used to transmit power to start the engine or being responsible for transmitting signals between the vehicle central control and sensors.

[0070] In this scheme, after determining that the automobile cable has a connection loose abnormality, an abnormal signal is sent to the abnormality reminding module. After receiving the signal, the abnormality reminding module first retrieves the installation position information and function information corresponding to the faulty cable from the vehicle database, and then integrates and realizes these information. Specifically, it can be a voice prompt, which will play through the car audio system, such as "the left side harness in the engine compartment has a connection loose abnormality, and this harness is used to transmit the engine ignition signal", or it can be an image display, such as marking the specific position of the cable in the vehicle electronic map and attaching a function description, and finally outputting the integrated prompt information to the driver or maintenance personnel.

[0071] The technical scheme improves the efficiency of automobile cable fault handling through abnormality reminding. When the cable has a connection loose abnormality, the maintenance personnel can be accurately informed of the installation position and function of the faulty cable, avoiding the problem of too long troubleshooting time caused by the inability to quickly locate the fault point in the past. At the same time, understanding the cable function information is also helpful for predicting the chain reaction that may be caused by the fault, so as to take measures in advance, thereby reducing the risk of vehicle performance decline, safety hazards and other risks caused by cable faults, and effectively improving the stability of the vehicle electrical system.

[0072] The automobile cable connection loose detection device in the embodiment of the application can be a device, or a component, an integrated circuit or a chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., and the embodiment of the application is not limited in this regard.

[0073] The automobile cable connection loose detection device in the embodiment of the application can be a device with an operating system. The operating system can be an Android operating system, an IOS operating system or other possible operating systems, and the embodiment of the application is not limited in this regard.

[0074] Embodiment three Figure 3 is a flowchart of the automobile cable connection loose detection method provided in the embodiment three of the application. As shown in the figure, Figure 3As shown, specifically comprising the following steps: S301, acquiring temperature data of the automobile cable during the running of the automobile; S302, if it is identified that the temperature data exceeds a set temperature threshold, acquiring stress data of the automobile cable; S303, identifying a data feature of the stress data; S304, in the case that the data feature matches a pre-set fluctuation feature, determining that the automobile cable has a connection loose abnormality.

[0075] Further, the method further comprises: In the case that the automobile cable has a connection loose, stress data of the loose automobile cable is collected during the running of the automobile, and a feature extraction is performed on the stress data to obtain a feature extraction result; The feature extraction results of stress data exceeding a preset number are statistically analyzed to obtain a pre-set fluctuation feature.

[0076] The automobile cable connection loose detection method provided by the embodiments of the present application has the functions and execution processes corresponding to the device of the above-mentioned embodiments, and achieves the corresponding beneficial effects. To avoid repetition, it will not be repeated here.

[0077] Embodiment four As Figure 4 shown, the embodiments of the present application also provide an electronic device 400, which comprises a processor 401, a memory 402, a program or instruction stored on the memory 402 and executable on the processor 401. When the processor 401 executes the program or instruction, it realizes the processes of each embodiment of the above-mentioned automobile cable connection loose detection device, and achieves the same technical effects. To avoid repetition, it will not be repeated here.

[0078] It should be noted that the electronic device in the embodiments of the present application includes the mobile electronic device and the non-mobile electronic device described above.

[0079] Embodiment five The embodiments of the present application also provide a readable storage medium, which stores a program or instruction. When the processor executes the program or instruction, it realizes the processes of each embodiment of the above-mentioned automobile cable connection loose detection device, and achieves the same technical effects. To avoid repetition, it will not be repeated here.

[0080] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0081] It should be noted that, in this document, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that includes the element. In addition, it should be noted that the scope of the methods and apparatus of the present embodiments are not limited by the order of the steps or the sequences for performing the steps, and can include performing the steps in different order, or substantially concurrently, or in reverse order, such as described, and can also add, omit or combine various steps. In addition, features described with reference to certain examples can be combined in other examples.

[0082] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment method can be realized by means of software and necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a plurality of instructions for making a terminal (which can be a mobile phone, computer, server, or network device, etc.) execute the method described in each embodiment of the present application.

[0083] The embodiments of the present application are described above in combination with the drawings, but the present application is not limited to the above specific embodiments, and the above specific embodiments are only illustrative, not restrictive, and those skilled in the art can make many forms under the inspiration of the present application without departing from the scope of the present application and the scope protected by the claims.

[0084] The above merely describes the preferred embodiments of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein, and various obvious changes, modifications and replacements made by those skilled in the art without departing from the scope of the present application shall not be excluded. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and more other equivalent embodiments can be included without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A device for detecting loosening of a cable connection in a vehicle, characterized in that The device comprises: a temperature data acquisition module configured to acquire temperature data of the automobile cable during automobile operation; a stress data acquisition module configured to acquire stress data of the automobile cable if it is identified that the temperature data exceeds a set temperature threshold; a data feature identification module configured to identify data features of the stress data; an anomaly identification module configured to determine that the automobile cable has a connection loosening anomaly if the data features match pre-set fluctuation features.

2. The automobile cable connection looseness detection device according to claim 1, characterized by The device further comprises: a stress feature collection module configured to collect stress data of the loosened automobile cable during automobile operation if the automobile cable has a connection loosening, and to extract features of the stress data to obtain feature extraction results; a fluctuation feature generation module configured to statistically analyze the feature extraction results of stress data exceeding a preset number to obtain pre-set fluctuation features.

3. The automobile cable connection looseness detection device according to claim 2, characterized by The device further comprises: a cable parameter acquisition module configured to acquire basic parameters of the automobile cable, wherein the basic parameters include length parameters, wire diameter parameters, and connection mode parameters; the fluctuation feature generation module is specifically configured to statistically analyze the feature extraction results of stress data exceeding a preset number based on the basic parameters to obtain pre-set fluctuation features.

4. The device for detecting loosening of an automobile cable connection according to claim 3, characterized by The fluctuation feature generation module comprises: a correction parameter determination unit configured to determine a correction parameter of the fluctuation features based on the basic parameters, and to correct the feature extraction results of the stress data of the loosened automobile cable using the correction parameter to obtain corrected features; a fluctuation feature generation unit configured to statistically analyze the corrected features to obtain pre-set fluctuation features.

5. The device for detecting loosening of an automobile cable connection according to claim 1, characterized by The device further comprises: an ambient temperature acquisition module configured to acquire an external ambient temperature of the automobile cable; a dynamic adjustment module configured to dynamically adjust the set temperature threshold based on the external ambient temperature.

6. The device for detecting loosening of an automobile cable connection according to claim 5, characterized by The dynamic adjustment module is specifically configured to: determine a proportional relationship between the external ambient temperature and a preset reference temperature; and multiply the proportional relationship and a reference temperature threshold to obtain the set temperature threshold.

7. The device for detecting looseness of an automobile cable connection according to claim 1, characterized by The device further comprises: an anomaly reminding module configured to generate prompt information if it is determined that the automobile cable has a connection loosening anomaly, wherein the prompt information includes installation location information and function information of the automobile cable.

8. A method of detecting looseness of a cable connection of an automobile, characterized by, The method comprises: acquiring temperature data of the automobile cable during automobile operation; acquiring stress data of the automobile cable if it is identified that the temperature data exceeds a set temperature threshold; identifying data features of the stress data; determining that the automobile cable has a connection loosening anomaly if the data features match pre-set fluctuation features.

9. The method of claim 8, wherein The method further comprises: collecting stress data of the loosened automobile cable during automobile operation if the automobile cable has a connection loosening, and extracting features of the stress data to obtain feature extraction results; statistically analyzing the feature extraction results of stress data exceeding a preset number to obtain pre-set fluctuation features.

10. An electronic device, comprising: A computer program product comprising a computer readable medium having stored thereon computer readable program means comprising program instructions executable by a computer processing means for causing the computer processing means to operate in accordance with the method of any of claims 8-9. A computer program product comprising a computer readable medium having stored thereon computer readable program means comprising program instructions executable by a computer processing means for causing the computer processing means to operate in accordance with the method of any of claims 8-9.

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