Vehicle chassis performance detection method and system

Abstract

The present invention provides a vehicle chassis performance detection method and system, the method comprising: respectively setting corresponding ultrasonic transmitters and ultrasonic receivers at preset positions on the top and bottom of the detection platform; when the vehicle chassis is detected in real time, a corresponding ultrasonic detection array is formed according to the ultrasonic transmitter and the ultrasonic receiver, and the detection area of ​​the ultrasonic detection array covers the vehicle chassis; the initial detection image corresponding to the vehicle chassis is detected in real time by the ultrasonic detection array, and the initial detection image is preprocessed to generate a corresponding target detection image; and the detection result corresponding to the vehicle chassis is output in real time according to the target detection image. The present invention can greatly shorten the detection time and correspondingly improve the detection efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile chassis, and in particular to a vehicle chassis performance detection method and system. Background Art

[0002] With the advancement of science and technology and the rapid development of productivity, cars have become popular in people's daily lives and have become one of the indispensable means of transportation for people's daily travel, greatly facilitating people's lives.

[0003] Among them, the chassis is one of the important parts of a car, which is used to carry corresponding personnel and parts, and the quality of the car chassis directly determines the quality of the car driving experience.

[0004] Furthermore, existing automobile chassis need to undergo corresponding performance tests before entering actual production. Specifically, the existing technology uses ultrasound to detect the automobile chassis. However, in the actual detection process, the existing technology requires that the vehicle and the ultrasonic transmitter be fixed on the detection platform at the same time. During this process, the ultrasonic transmitter and the detection area of ​​the automobile chassis need to be accurately positioned. During this process, a long time is required and certain errors are prone to occur, which correspondingly reduces the detection efficiency. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a vehicle chassis performance detection method and system to solve the problem that the prior art requires a long detection time and is prone to detection errors.

[0006] The first aspect of the embodiment of the present invention proposes:

[0007] A vehicle chassis performance detection method, wherein the method comprises:

[0008] Corresponding ultrasonic transmitters and ultrasonic receivers are respectively arranged at preset positions on the top and bottom of the detection platform, and the ultrasonic transmitters and ultrasonic receivers are respectively located on the upper and lower sides of the chassis;

[0009] When the vehicle chassis is detected in real time, a corresponding ultrasonic detection array is formed according to the ultrasonic transmitter and the ultrasonic receiver, and the detection area of ​​the ultrasonic detection array covers the vehicle chassis;

[0010] An initial detection image corresponding to the vehicle chassis is detected in real time by the ultrasonic detection array, and the initial detection image is preprocessed to generate a corresponding target detection image;

[0011] The detection result corresponding to the vehicle chassis is output in real time according to the target detection image.

[0012] The beneficial effect of the present invention is that the ultrasonic detection array group constructed in real time can objectively and accurately obtain the ultrasonic signal corresponding to the vehicle chassis, based on which the required target detection image can be further accurately constructed. Furthermore, it is only necessary to finally perform corresponding recognition and processing on the target detection image to obtain the corresponding detection result, thereby greatly shortening the detection time without making mistakes, thereby correspondingly improving the detection efficiency.

[0013] Furthermore, the step of detecting an initial detection image corresponding to the vehicle chassis in real time by the ultrasonic detection array includes:

[0014] Receiving the reflected signal outputted by the ultrasonic detection array in real time, and converting and processing the reflected signal to generate a corresponding electrical signal;

[0015] Performing noise reduction processing on the electrical signal by using a preset noise reduction algorithm to generate a corresponding target electrical signal;

[0016] The target electrical signal is analyzed and processed to generate the initial detection image accordingly.

[0017] Furthermore, the step of analyzing and processing the target electrical signal to generate the initial detection image accordingly includes:

[0018] When the target electrical signal is acquired in real time, a signal curve corresponding to the target electrical signal is generated in real time, and the signal curve is unique;

[0019] The signal curve is fully scanned to scan out a number of characteristic parameters contained therein, and the initial detection image is correspondingly generated according to the characteristic parameters.

[0020] Furthermore, the step of performing a full scan on the signal curve to scan out a number of characteristic parameters contained therein, and generating the initial detection image according to the characteristic parameters includes:

[0021] When a plurality of characteristic parameters are acquired in real time, the plurality of characteristic parameters are input into a preset image processor accordingly;

[0022] Generating corresponding calling instructions in real time according to the characteristic parameters, and calling out corresponding image reconstruction algorithms in the preset image processor according to the calling instructions;

[0023] The image reconstruction algorithm is used to process the characteristic parameters in an image format to generate the initial detection image accordingly.

[0024] Furthermore, the step of preprocessing the initial detection image to generate a corresponding target detection image includes:

[0025] When the initial detection image is acquired in real time, the initial detection image is fully scanned to detect a number of pixel values ​​corresponding to the surface of the initial detection image;

[0026] Dividing the surface of the initial detection image according to the size of each pixel value to generate a plurality of corresponding image areas;

[0027] Corresponding recognition processing is performed on the plurality of image regions respectively to generate the target detection images accordingly.

[0028] Furthermore, the step of performing corresponding recognition processing on the plurality of image regions to correspondingly generate the target detection image includes:

[0029] When a plurality of image regions are acquired in real time, corresponding feature recognition processing is performed on each of the image regions to detect a plurality of feature values ​​accordingly;

[0030] A mapping relationship between each of the image regions and each of the feature values ​​is constructed in real time, and a target component image corresponding to each of the image regions is matched in real time according to the mapping relationship, and each of the target component images is spliced ​​to generate the corresponding target detection image.

[0031] Furthermore, the step of performing splicing processing on each of the target component images to generate the target detection image accordingly includes:

[0032] When the target detection image is acquired in real time, a target attribute value and a target format corresponding to the target detection image are detected in real time;

[0033] The corresponding target numbers and target letters are extracted from the target attribute value and the target format respectively, and a corresponding encryption key is generated according to the target numbers and the target letters to complete the encryption processing of the target detection image.

[0034] The second aspect of the embodiment of the present invention proposes:

[0035] A vehicle chassis performance detection system, wherein the system comprises:

[0036] A creation module is used to respectively set corresponding ultrasonic transmitters and ultrasonic receivers at preset positions on the top and bottom of the detection platform, wherein the ultrasonic transmitters and the ultrasonic receivers are respectively located on the upper and lower sides of the chassis;

[0037] A detection module, for forming a corresponding ultrasonic detection array according to the ultrasonic transmitter and the ultrasonic receiver when a vehicle chassis is detected in real time, wherein a detection area of ​​the ultrasonic detection array covers the vehicle chassis;

[0038] A processing module, configured to detect an initial detection image corresponding to the vehicle chassis in real time through the ultrasonic detection array, and pre-process the initial detection image to generate a corresponding target detection image;

[0039] An output module is used to output a detection result corresponding to the vehicle chassis in real time according to the target detection image.

[0040] Furthermore, the detection module is specifically used for:

[0041] Receiving the reflected signal outputted by the ultrasonic detection array in real time, and converting and processing the reflected signal to generate a corresponding electrical signal;

[0042] Performing noise reduction processing on the electrical signal by using a preset noise reduction algorithm to generate a corresponding target electrical signal;

[0043] The target electrical signal is analyzed and processed to generate the initial detection image accordingly.

[0044] Furthermore, the detection module is specifically used for:

[0045] When the target electrical signal is acquired in real time, a signal curve corresponding to the target electrical signal is generated in real time, and the signal curve is unique;

[0046] The signal curve is fully scanned to scan out a number of characteristic parameters contained therein, and the initial detection image is correspondingly generated according to the characteristic parameters.

[0047] Furthermore, the detection module is specifically used for:

[0048] When a plurality of characteristic parameters are acquired in real time, the plurality of characteristic parameters are input into a preset image processor accordingly;

[0049] Generating corresponding calling instructions in real time according to the characteristic parameters, and calling out corresponding image reconstruction algorithms in the preset image processor according to the calling instructions;

[0050] The image reconstruction algorithm is used to process the characteristic parameters in an image format to generate the initial detection image accordingly.

[0051] Furthermore, the processing module is specifically used for:

[0052] When the initial detection image is acquired in real time, the initial detection image is fully scanned to detect a number of pixel values ​​corresponding to the surface of the initial detection image;

[0053] Dividing the surface of the initial detection image according to the size of each pixel value to generate a plurality of corresponding image areas;

[0054] Corresponding recognition processing is performed on the plurality of image regions respectively to generate the target detection images accordingly.

[0055] Furthermore, the processing module is specifically used for:

[0056] When a plurality of image regions are acquired in real time, corresponding feature recognition processing is performed on each of the image regions to detect a plurality of feature values ​​accordingly;

[0057] A mapping relationship between each of the image regions and each of the feature values ​​is constructed in real time, and a target component image corresponding to each of the image regions is matched in real time according to the mapping relationship, and each of the target component images is spliced ​​to generate the corresponding target detection image.

[0058] Furthermore, the processing module is specifically used for:

[0059] When the target detection image is acquired in real time, a target attribute value and a target format corresponding to the target detection image are detected in real time;

[0060] The corresponding target numbers and target letters are extracted from the target attribute value and the target format respectively, and a corresponding encryption key is generated according to the target numbers and the target letters to complete the encryption processing of the target detection image.

[0061] The third aspect of the embodiment of the present invention proposes:

[0062] A computer comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the vehicle chassis performance detection method as described above is implemented when the processor executes the computer program.

[0063] The fourth aspect of the embodiments of the present invention proposes:

[0064] A readable storage medium stores a computer program, wherein the program, when executed by a processor, implements the vehicle chassis performance detection method as described above.

[0065] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A flow chart of a vehicle chassis performance detection method provided by a first embodiment of the present invention;

[0067] Figure 2 This is a structural block diagram of a vehicle chassis performance detection system provided in the third embodiment of the present invention.

[0068] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0069] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0070] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0071] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0072] See also Figure 1 , shown is the vehicle chassis performance detection method provided by the first embodiment of the present invention. The vehicle chassis performance detection method provided by this embodiment can greatly shorten the detection time without making mistakes, thereby correspondingly improving the detection efficiency.

[0073] Specifically, this embodiment provides:

[0074] A vehicle chassis performance detection method specifically comprises the following steps:

[0075] Step S10, respectively setting corresponding ultrasonic transmitters and ultrasonic receivers at preset positions on the top and bottom of the detection platform, wherein the ultrasonic transmitter and the ultrasonic receiver are respectively located on the upper and lower sides of the chassis;

[0076] Step S20, when the vehicle chassis is detected in real time, a corresponding ultrasonic detection array is formed according to the ultrasonic transmitter and the ultrasonic receiver, and the detection area of ​​the ultrasonic detection array covers the vehicle chassis;

[0077] Step S30, detecting an initial detection image corresponding to the vehicle chassis in real time through the ultrasonic detection array, and preprocessing the initial detection image to generate a corresponding target detection image;

[0078] Step S40: outputting a detection result corresponding to the vehicle chassis in real time according to the target detection image.

[0079] Specifically, in this embodiment, it should be noted that in order to quickly and effectively complete the detection of the vehicle chassis, it is necessary to first accurately obtain the image corresponding to the vehicle chassis, based on which, an accurate judgment can be made. Based on this, the present invention will pre-build the corresponding ultrasonic transmitter and ultrasonic receiver on the detection platform in real time, and can further create the corresponding ultrasonic detection array in real time based on the current two devices, wherein it should be pointed out that the detection range of the ultrasonic detection array can cover the chassis of different models of vehicles at the same time.

[0080] Furthermore, in the process of actual application, the present invention can accurately detect the corresponding initial detection image in real time through the ultrasonic detection array. At the same time, in order to further improve the detection accuracy, the current initial detection image will be further preprocessed, and the required target detection image can be further obtained, and finally the corresponding detection result can be obtained according to the target detection image, thereby greatly shortening the detection time and correspondingly improving the detection efficiency.

[0081] Second embodiment

[0082] Furthermore, the step of detecting an initial detection image corresponding to the vehicle chassis in real time by the ultrasonic detection array includes:

[0083] Receiving the reflected signal outputted by the ultrasonic detection array in real time, and converting and processing the reflected signal to generate a corresponding electrical signal;

[0084] Performing noise reduction processing on the electrical signal by using a preset noise reduction algorithm to generate a corresponding target electrical signal;

[0085] The target electrical signal is analyzed and processed to generate the initial detection image accordingly.

[0086] Furthermore, the step of analyzing and processing the target electrical signal to generate the initial detection image accordingly includes:

[0087] When the target electrical signal is acquired in real time, a signal curve corresponding to the target electrical signal is generated in real time, and the signal curve is unique;

[0088] The signal curve is fully scanned to scan out a number of characteristic parameters contained therein, and the initial detection image is correspondingly generated according to the characteristic parameters.

[0089] Furthermore, the step of performing a full scan on the signal curve to scan out a number of characteristic parameters contained therein, and generating the initial detection image according to the characteristic parameters includes:

[0090] When a plurality of characteristic parameters are acquired in real time, the plurality of characteristic parameters are input into a preset image processor accordingly;

[0091] Generating corresponding calling instructions in real time according to the characteristic parameters, and calling out corresponding image reconstruction algorithms in the preset image processor according to the calling instructions;

[0092] The image reconstruction algorithm is used to process the characteristic parameters in an image format to generate the initial detection image accordingly.

[0093] Furthermore, the step of preprocessing the initial detection image to generate a corresponding target detection image includes:

[0094] When the initial detection image is acquired in real time, the initial detection image is fully scanned to detect a number of pixel values ​​corresponding to the surface of the initial detection image;

[0095] Dividing the surface of the initial detection image according to the size of each pixel value to generate a plurality of corresponding image areas;

[0096] Corresponding recognition processing is performed on the plurality of image regions respectively to generate the target detection images accordingly.

[0097] Furthermore, the step of performing corresponding recognition processing on the plurality of image regions to correspondingly generate the target detection image includes:

[0098] When a plurality of image regions are acquired in real time, corresponding feature recognition processing is performed on each of the image regions to detect a plurality of feature values ​​accordingly;

[0099] A mapping relationship between each of the image regions and each of the feature values ​​is constructed in real time, and a target component image corresponding to each of the image regions is matched in real time according to the mapping relationship, and each of the target component images is spliced ​​to generate the corresponding target detection image.

[0100] Furthermore, the step of performing splicing processing on each of the target component images to generate the target detection image accordingly includes:

[0101] When the target detection image is acquired in real time, a target attribute value and a target format corresponding to the target detection image are detected in real time;

[0102] The corresponding target numbers and target letters are extracted from the target attribute value and the target format respectively, and a corresponding encryption key is generated according to the target numbers and the target letters to complete the encryption processing of the target detection image.

[0103] In addition, in the present embodiment, it is also necessary to explain that after the required ultrasonic detection array is created in real time through the above steps, the subsequent detection can be further completed through the ultrasonic detection array. Preferably, the ultrasonic detection array will generate a corresponding ultrasonic signal in real time during the detection process, and at the same time, the present invention can convert it into a corresponding electrical signal in real time. Since other interference signals may exist inside the electrical signal, based on this, the present invention will further perform noise reduction processing on the current electrical signal, and further obtain the required target electrical signal. At the same time, the current target electrical signal is further converted into a corresponding signal curve, so that the corresponding characteristic parameters can be extracted from the current signal curve, and the target component image corresponding to each current special diagnosis parameter can be further detected in real time. Based on this, corresponding integration processing is performed to obtain the above-mentioned initial detection image.

[0104] Furthermore, after the required initial detection image is acquired in real time through the above steps, subsequent detection can be further completed at this time. Preferably, the present invention will first perform a full scan on the current initial detection image to scan out the corresponding pixel values. Based on this, subsequent division can be intuitively performed according to the current size of each pixel value, and several regional images are divided accordingly, wherein the divided images all contain different contents. Based on this, the corresponding integration processing can be further completed to integrate the above-mentioned target detection image for subsequent processing.

[0105] See also Figure 2 , the third embodiment of the present invention provides:

[0106] A vehicle chassis performance detection system, wherein the system comprises:

[0107] A creation module is used to respectively set corresponding ultrasonic transmitters and ultrasonic receivers at preset positions on the top and bottom of the detection platform, wherein the ultrasonic transmitters and the ultrasonic receivers are respectively located on the upper and lower sides of the chassis;

[0108] A detection module, for forming a corresponding ultrasonic detection array according to the ultrasonic transmitter and the ultrasonic receiver when a vehicle chassis is detected in real time, wherein a detection area of ​​the ultrasonic detection array covers the vehicle chassis;

[0109] A processing module, configured to detect an initial detection image corresponding to the vehicle chassis in real time through the ultrasonic detection array, and pre-process the initial detection image to generate a corresponding target detection image;

[0110] An output module is used to output a detection result corresponding to the vehicle chassis in real time according to the target detection image.

[0111] Furthermore, the detection module is specifically used for:

[0112] Receiving the reflected signal outputted by the ultrasonic detection array in real time, and converting and processing the reflected signal to generate a corresponding electrical signal;

[0113] Performing noise reduction processing on the electrical signal by using a preset noise reduction algorithm to generate a corresponding target electrical signal;

[0114] The target electrical signal is analyzed and processed to generate the initial detection image accordingly.

[0115] Furthermore, the detection module is specifically used for:

[0116] When the target electrical signal is acquired in real time, a signal curve corresponding to the target electrical signal is generated in real time, and the signal curve is unique;

[0117] The signal curve is fully scanned to scan out a number of characteristic parameters contained therein, and the initial detection image is correspondingly generated according to the characteristic parameters.

[0118] Furthermore, the detection module is specifically used for:

[0119] When a plurality of characteristic parameters are acquired in real time, the plurality of characteristic parameters are input into a preset image processor accordingly;

[0120] Generating corresponding calling instructions in real time according to the characteristic parameters, and calling out corresponding image reconstruction algorithms in the preset image processor according to the calling instructions;

[0121] The image reconstruction algorithm is used to process the characteristic parameters in an image format to generate the initial detection image accordingly.

[0122] Furthermore, the processing module is specifically used for:

[0123] When the initial detection image is acquired in real time, the initial detection image is fully scanned to detect a number of pixel values ​​corresponding to the surface of the initial detection image;

[0124] Dividing the surface of the initial detection image according to the size of each pixel value to generate a plurality of corresponding image areas;

[0125] Corresponding recognition processing is performed on the plurality of image regions respectively to generate the target detection images accordingly.

[0126] Furthermore, the processing module is specifically used for:

[0127] When a plurality of image regions are acquired in real time, corresponding feature recognition processing is performed on each of the image regions to detect a plurality of feature values ​​accordingly;

[0128] A mapping relationship between each of the image regions and each of the feature values ​​is constructed in real time, and a target component image corresponding to each of the image regions is matched in real time according to the mapping relationship, and each of the target component images is spliced ​​to generate the corresponding target detection image.

[0129] Furthermore, the processing module is specifically used for:

[0130] When the target detection image is acquired in real time, a target attribute value and a target format corresponding to the target detection image are detected in real time;

[0131] The corresponding target numbers and target letters are extracted from the target attribute value and the target format respectively, and a corresponding encryption key is generated according to the target numbers and the target letters to complete the encryption processing of the target detection image.

[0132] A fourth embodiment of the present invention provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the vehicle chassis performance detection method as described above when executing the computer program.

[0133] A fifth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the vehicle chassis performance detection method as described above.

[0134] In summary, the vehicle chassis performance detection method and system provided by the above embodiments of the present invention can significantly shorten the detection time without making errors, thereby correspondingly improving the detection efficiency.

[0135] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0136] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0137] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0138] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0139] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0140] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A vehicle chassis performance detection method, characterized in that: The method comprises: Corresponding ultrasonic transmitters and ultrasonic receivers are respectively arranged at preset positions on the top and bottom of the detection platform, and the ultrasonic transmitters and ultrasonic receivers are respectively located on the upper and lower sides of the chassis; When the vehicle chassis is detected in real time, a corresponding ultrasonic detection array is formed according to the ultrasonic transmitter and the ultrasonic receiver, and the detection area of ​​the ultrasonic detection array covers the vehicle chassis; An initial detection image corresponding to the vehicle chassis is detected in real time by the ultrasonic detection array, and the initial detection image is preprocessed to generate a corresponding target detection image; Outputting a detection result corresponding to the vehicle chassis in real time according to the target detection image; The step of preprocessing the initial detection image to generate a corresponding target detection image includes: When the initial detection image is acquired in real time, the initial detection image is fully scanned to detect a number of pixel values ​​corresponding to the surface of the initial detection image; Dividing the surface of the initial detection image according to the size of each pixel value to generate a plurality of corresponding image areas; Performing corresponding recognition processing on the plurality of image regions respectively to generate the target detection images accordingly; The step of performing corresponding recognition processing on the plurality of image regions to correspondingly generate the target detection image comprises: When a plurality of image regions are acquired in real time, corresponding feature recognition processing is performed on each of the image regions to detect a plurality of feature values ​​accordingly; Constructing a mapping relationship between each of the image regions and each of the feature values ​​in real time, matching the target component images corresponding to each of the image regions in real time according to the mapping relationship, and performing splicing processing on each of the target component images to generate the target detection image accordingly; The step of performing splicing processing on each of the target component images to generate the target detection image accordingly includes: When the target detection image is acquired in real time, a target attribute value and a target format corresponding to the target detection image are detected in real time; The corresponding target numbers and target letters are extracted from the target attribute value and the target format respectively, and a corresponding encryption key is generated according to the target numbers and the target letters to complete the encryption processing of the target detection image.

2. The vehicle chassis performance detection method according to claim 1, characterized in that: The step of detecting an initial detection image corresponding to the vehicle chassis in real time by the ultrasonic detection array comprises: Receiving the reflected signal outputted by the ultrasonic detection array in real time, and converting and processing the reflected signal to generate a corresponding electrical signal; Performing noise reduction processing on the electrical signal by using a preset noise reduction algorithm to generate a corresponding target electrical signal; The target electrical signal is analyzed and processed to generate the initial detection image accordingly.

3. The vehicle chassis performance detection method according to claim 2, characterized in that: The step of analyzing and processing the target electrical signal to generate the initial detection image accordingly includes: When the target electrical signal is acquired in real time, a signal curve corresponding to the target electrical signal is generated in real time, and the signal curve is unique; The signal curve is fully scanned to scan out a number of characteristic parameters contained therein, and the initial detection image is correspondingly generated according to the characteristic parameters.

4. The vehicle chassis performance detection method according to claim 3, characterized in that: The step of performing a full scan on the signal curve to scan out a number of characteristic parameters contained therein, and generating the initial detection image according to the characteristic parameters comprises: When a plurality of characteristic parameters are acquired in real time, the plurality of characteristic parameters are input into a preset image processor accordingly; Generating corresponding calling instructions in real time according to the characteristic parameters, and calling out corresponding image reconstruction algorithms in the preset image processor according to the calling instructions; The image reconstruction algorithm is used to process the characteristic parameters in an image format to generate the initial detection image accordingly.

5. A vehicle chassis performance detection system, characterized in that: Used to implement the vehicle chassis performance detection method according to any one of claims 1 to 4, the system comprises: A creation module is used to respectively set corresponding ultrasonic transmitters and ultrasonic receivers at preset positions on the top and bottom of the detection platform, wherein the ultrasonic transmitters and the ultrasonic receivers are respectively located on the upper and lower sides of the chassis; A detection module, for forming a corresponding ultrasonic detection array according to the ultrasonic transmitter and the ultrasonic receiver when a vehicle chassis is detected in real time, wherein a detection area of ​​the ultrasonic detection array covers the vehicle chassis; A processing module, configured to detect an initial detection image corresponding to the vehicle chassis in real time through the ultrasonic detection array, and pre-process the initial detection image to generate a corresponding target detection image; An output module is used to output a detection result corresponding to the vehicle chassis in real time according to the target detection image.

6. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the vehicle chassis performance detection method according to any one of claims 1 to 4 is implemented.

7. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the vehicle chassis performance detection method as described in any one of claims 1 to 4 is implemented.

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