Vehicle inspection system and method

Abstract

The invention provides a vehicle checking system and method which can be applied to the technical field of security and protection and the technical field of safety check. The vehicle checking system comprises a vehicle checking subsystem which comprises M detection devices which are arranged in a target detection area included in a target road where a target passing vehicle is about to pass, and the M detection devices are used for performing non-contact detection on the target passing vehicle, target passing information corresponding to the target passing vehicle, detection time and equipment identification information of detection equipment are obtained; and the data management subsystem comprises a data processing module which is used for determining area identification information corresponding to the target detection area according to the equipment identification information and the equipment association relation table, and obtaining a checking result according to the area identification information, the target passing information and the detection time.

Description

Technical Field

[0001] The present disclosure relates to the fields of security technology and safety inspection technology, and more specifically, to a vehicle inspection system and method. Background Art

[0002] Traditional vehicle inspection systems rely mainly on manual operations and document review, involving a variety of procedures and processes. Workers need to visually and manually check information such as drivers, vehicles, and cargoes according to relevant regulations and standards, and enter them into independent systems or physically archive them. This is cumbersome and has low inspection efficiency. In addition, traditional vehicle inspection systems cannot provide centralized inspections of various inspection processes and follow-up tracking of matters, and there are problems such as unrelated information, difficult tracing, and narrow vision. Summary of the invention

[0003] In view of this, the present disclosure provides a vehicle inspection system and method.

[0004] According to the first aspect of the present disclosure, a vehicle inspection system is provided, comprising: a vehicle inspection subsystem, comprising: M detection devices, which are arranged in a target detection area included in a target road through which a target passing vehicle is to pass, and the M detection devices are used to perform non-contact detection on the target passing vehicle, and obtain target passage information corresponding to the target passing vehicle, a detection time, and device identification information of the detection devices, wherein the target road includes N detection areas, the target detection area is any one of the N detection areas, and M and N are both positive integers; a data management subsystem, comprising: a data processing module, which is used to determine the area identification information corresponding to the target detection area according to the device identification information and a device association table, and obtain an inspection result according to the area identification information, the target passage information and the detection time, wherein the device association table stores N area identification information corresponding to the N detection areas one by one and device identification information of the M detection devices corresponding to each area identification information.

[0005] According to an embodiment of the present disclosure, the M detection devices include: L first detection devices, used to perform non-contact detection of the target passing vehicle and cargo, and obtain first passing information, first detection time and first device identification information corresponding to each of the L first detection devices; P second detection devices, used to perform non-contact detection of the target object driving the target passing vehicle, and obtain second passing information, second detection time and second device identification information corresponding to each of the P second detection devices, wherein L and P are both positive integers.

[0006] According to an embodiment of the present disclosure, the above-mentioned inspection result includes a verification result, and the above-mentioned data processing module obtains the inspection result according to the above-mentioned area identification information, the above-mentioned target traffic information and the above-mentioned detection time, including: when it is determined that the above-mentioned detection time is greater than the entry time, verifying the above-mentioned target passing vehicle according to the above-mentioned first traffic information and the above-mentioned second traffic information to obtain a verification result, wherein the above-mentioned entry time represents the initial time when the above-mentioned target passing vehicle enters the above-mentioned target detection area; obtaining the above-mentioned verification result according to the above-mentioned verification result and the above-mentioned area identification information.

[0007] According to an embodiment of the present disclosure, the above-mentioned data management subsystem also includes: a cache module, used to temporarily store the above-mentioned inspection results based on the above-mentioned area identification information and the above-mentioned detection time; and a display module, used to display the above-mentioned inspection results based on the above-mentioned area identification information and the above-mentioned detection time.

[0008] According to an embodiment of the present disclosure, the cache module temporarily stores the inspection result according to the area identification information and the detection time, including: when it is determined that the detection time is greater than the entry time, temporarily storing the inspection result according to the area identification information; the display module displays the inspection result according to the area identification information and the detection time, including: when it is determined that the detection time is greater than the entry time, displaying the inspection result according to the area identification information.

[0009] According to an embodiment of the present disclosure, the above-mentioned inspection results include a detection video, and the above-mentioned M detection devices also include: a monitoring device, which is used to monitor the detection process of the above-mentioned target passing vehicles in the above-mentioned target detection area, and generate the above-mentioned detection video, video detection time and monitoring device identification information.

[0010] According to an embodiment of the present disclosure, the above-mentioned data management subsystem also includes: a disk storage module, which is used to store the above-mentioned area identification information, entry time, departure time and the above-mentioned inspection results on disk, and generate a target storage identifier after the disk storage operation is completed, wherein the above-mentioned entry time represents the initial time when the above-mentioned target passing vehicle enters the above-mentioned target detection area, and the above-mentioned departure time represents the initial time when the above-mentioned target passing vehicle leaves the above-mentioned target detection area; a cache clearing module, which is used to clear the above-mentioned cache module according to the above-mentioned target storage identifier.

[0011] According to an embodiment of the present disclosure, the above-mentioned target passage information includes at least one of the following: license plate information, nuclear radiation scanning information, vehicle weight information, perspective image, appearance image, temperature information of the above-mentioned target object, face information, certificate information and customs declaration information.

[0012] According to an embodiment of the present disclosure, the above-mentioned L first detection devices include: an entrance collection device, used to detect the initial time when the above-mentioned target passing vehicle enters the above-mentioned target detection area, and determine the device identification information corresponding to the above-mentioned entrance collection device; an exit collection device, used to detect the initial time when the above-mentioned target passing vehicle leaves the above-mentioned target detection area, and determine the device identification information corresponding to the above-mentioned exit collection device.

[0013] According to a second aspect of the present disclosure, a vehicle inspection method is provided, comprising: performing non-contact inspection on a target passing vehicle to obtain target passing information, inspection time and device identification information of a detection device corresponding to the target passing vehicle; determining the area identification information corresponding to the target detection area according to the device identification information and an equipment association table, and obtaining an inspection result according to the area identification information, the target passing information and the inspection time, wherein the device association table stores N area identification information corresponding to N detection areas one by one and device identification information of M detection devices corresponding to each area identification information, the M detection devices are arranged in a target detection area included in a target road to be passed by the target passing vehicle, the target detection area is any one of the N detection areas, and M and N are both positive integers.

[0014] According to an embodiment of the present disclosure, when the target road includes N detection areas and the target detection area is any one of the N detection areas, M detection devices are set in the target detection area included in the target road where the target vehicle is to pass, and the target vehicle is non-contactly detected by using the M detection devices, and the target traffic information, detection time and device identification information of the detection device corresponding to the target vehicle are obtained, so that when the target vehicle passes through any target detection area, the target vehicle can be automatically and centrally detected by using the M detection devices, thereby improving the detection efficiency. By using the data processing module to determine the area identification information corresponding to the target detection area according to the device identification information and the device association relationship table, and obtaining the inspection result according to the area identification information, the target traffic information and the inspection time, the various collected data are integrated based on the custom rules, and the inspection result that associates the detection device, the detection area, the detection time and the traffic information is obtained. So that the complete process of the vehicle inspection business can be recorded based on the inspection result, and subsequent matters can be tracked based on the inspection result. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0016] Figure 1A schematic diagram of a vehicle inspection system according to an embodiment of the present disclosure is schematically shown;

[0017] Figure 2 A schematic diagram of a vehicle inspection system according to another embodiment of the present disclosure is schematically shown;

[0018] Figure 3 A schematic diagram schematically shows a vehicle inspection system according to another embodiment of the present disclosure; and

[0019] Figure 4 A flow chart of a vehicle inspection method according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0020] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0021] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0022] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0023] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0024] In the embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security, and national security.

[0025] In the embodiments of the present disclosure, the user's authorization or consent is obtained before obtaining or collecting the user's personal information.

[0026] The characteristics of vehicle inspection by traditional vehicle inspection systems are as follows: During the manual inspection process, the vehicle identification results are manually entered into the system and the driver, vehicle and cargo information are checked. Inspectors need to confirm personnel, vehicles and cargo according to relevant regulations and standards. Various tools and equipment may be used during the inspection process to ensure that vehicle operation and cargo transportation comply with relevant regulations, such as spray disinfection, nuclear radiation, temperature measurement, monitoring, etc. During the document review process, the person driving the vehicle needs to submit a variety of documents, which are manually reviewed by the staff to verify their authenticity and compliance. After completing the vehicle inspection, the person driving the vehicle also needs to go through various procedures, such as stamping, signing, etc., and the staff needs to archive the inspection results and documents in an independent system or paper form, which requires a large amount of physical space for storage, increasing the difficulty of retrieval and management.

[0027] Although the traditional vehicle inspection system guarantees the standardization and security of the inspection work to a certain extent, it usually involves manual operation, paper document records, independent system storage and other inspection methods, which are cumbersome, inefficient, and costly. This method also has certain limitations, such as untimely information transmission, lack of real-time data, relevance and traceability, etc., and cannot provide centralized inspection of various inspection processes and subsequent tracking of matters. With the continuous advancement of technology, especially the vigorous development of artificial intelligence and information technology, the future vehicle inspection system needs to achieve a higher level of automation and intelligence.

[0028] In view of the above problems, the present disclosure provides a vehicle inspection system and method, which can be applied to the fields of security technology and safety inspection technology.

[0029] Figure 1 A schematic diagram of a vehicle inspection system according to an embodiment of the present disclosure is schematically shown.

[0030] like Figure 1 As shown, the vehicle inspection system 100 may include a vehicle inspection subsystem 110 and a data management subsystem 120 .

[0031] The vehicle inspection subsystem 110 may include M detection devices 111 .

[0032] M detection devices 111 can be set in the target detection area 101 included in the target road where the target passing vehicle is to pass. The M detection devices 111 can perform non-contact detection on the target passing vehicle to obtain the target passing information, detection time and device identification information of the detection device corresponding to the target passing vehicle. Among them, the target road includes N detection areas, the target detection area 101 is any one of the N detection areas, and M and N are both positive integers.

[0033] For example, the target detection area 101 may be detection area 1. The target detection area 101 may also be detection area 2, detection area 3, ... or detection area N, etc. Each of the N detection areas is provided with M detection devices, and the M detection devices included in each detection area may be completely the same, partially the same, or completely different.

[0034] According to an embodiment of the present disclosure, the device identification information may include a device ID (Identity Document) of the device, and may also include a device ID and a device name.

[0035] For example, M may be 6, 8, 9 or 10, etc. N may be 1, 2, 3 or 5, etc.

[0036] According to an embodiment of the present disclosure, the detection time may be the time when the detection device detects the target passage information.

[0037] According to an embodiment of the present disclosure, after the target passing vehicle enters the target detection area 101, each inspection device 111 automatically operates to capture various information such as the vehicle, driver, and cargo, and obtains the target passing information, detection time, and device identification information of the detection device corresponding to the target passing vehicle 101, and transmits the target passing information, detection time, and device identification information of the detection device to the data management subsystem 120.

[0038] The data management subsystem 120 may include a data processing module 121 .

[0039] The data processing module 121 can determine the area identification information corresponding to the target detection area according to the device identification information and the device association table, and obtain the inspection result according to the area identification information, the target passage information and the detection time. Among them, the device association table stores N area identification information corresponding to N detection areas and the device identification information of M detection devices corresponding to each area identification information.

[0040] According to an embodiment of the present disclosure, the inspection result may include area identification information, target passage information, detection time and verification result.

[0041] According to an embodiment of the present disclosure, the region identification information corresponding to the target detection region may include the region ID of the target detection region, and may also include the region ID and the region name.

[0042] For example, the target detection area may be each passageway in the target road. M detection devices may be set in each passageway. Detection area 1 may be the first passageway in the target road, and the area identification information corresponding to the first passageway may be 000001.

[0043] For example, the device ID, device name and other information of the M detection devices installed in the first passage 000001 can be entered into the data management subsystem 120 in advance, so that the data management subsystem 120 can be used to record the association between the first passage and each detection device in the first passage, so that the subsequent data processing module 121 can query the device association table according to the device identification information to obtain the area identification information corresponding to the target detection area. For example, the device association table can store the area ID and area name of the first passage and the device ID and device name of each of the corresponding M detection devices.

[0044] For example, the M detection devices may include license plate recognition equipment, face recognition equipment, document recognition equipment, document scanning equipment, temperature measurement equipment, nuclear radiation scanning equipment, lane spraying and disinfection equipment, security monitoring equipment, video monitoring equipment, etc.

[0045] According to the embodiments of the present disclosure, the types of the M detection devices may be selected according to actual business conditions and are not limited herein.

[0046] According to an embodiment of the present disclosure, when the target road includes N detection areas and the target detection area is any one of the N detection areas, M detection devices are set in the target detection area included in the target road where the target vehicle is to pass, and the target vehicle is non-contactly detected by using the M detection devices, and the target traffic information, detection time and device identification information of the detection device corresponding to the target vehicle are obtained, so that when the target vehicle passes through any target detection area, the target vehicle can be automatically and centrally detected by using the M detection devices, thereby improving the detection efficiency. By using the data processing module to determine the area identification information corresponding to the target detection area according to the device identification information and the device association relationship table, and obtaining the inspection result according to the area identification information, the target traffic information and the inspection time, the various collected data are integrated based on the custom rules, and the inspection result that associates the detection device, the detection area, the detection time and the traffic information is obtained. So that the complete process of the vehicle inspection business can be recorded based on the inspection result, and subsequent matters can be tracked based on the inspection result.

[0047] The vehicle inspection system provided according to the embodiment of the present disclosure performs vehicle inspections based on an intelligent algorithm system and equipment automation, which reduces the frequent involvement of manual inspections, streamlines related inspection processes, significantly improves inspection efficiency and accuracy, and brings innovative solutions to the vehicle inspection industry.

[0048] Figure 2 A schematic diagram of a vehicle inspection system according to another embodiment of the present disclosure is schematically shown.

[0049] like Figure 2 As shown, the vehicle inspection system 200 may include a vehicle inspection subsystem 210 and a data management subsystem 220 .

[0050] The vehicle inspection subsystem 210 may include M detection devices. The M detection devices may include L first detection devices 2111 and P second detection devices 2112. The target passage information may include first passage information, first detection time, and first device identification information corresponding to each of the L first detection devices, and second passage information, second detection time, and second device identification information corresponding to each of the P second detection devices.

[0051] The L first detection devices 2111 can perform non-contact detection on the target passing vehicle and cargo, and obtain first passing information, first detection time and first device identification information corresponding to each of the L first detection devices.

[0052] The P second detection devices 2112 can perform non-contact detection on the target object driving the target passing vehicle, and obtain the second passing information, second detection time and second device identification information corresponding to each of the P second detection devices. Wherein, L and P are both positive integers.

[0053] According to an embodiment of the present disclosure, L first detection devices 2111 can be concentrated in the first sub-area of ​​the target detection area to concentrate on detecting vehicles and cargoes, and P second detection devices 2112 can be concentrated in the second sub-area of ​​the target detection area to concentrate on detecting target objects such as driving target passing vehicles, thereby improving inspection efficiency.

[0054] According to an embodiment of the present disclosure, the target passage information may include at least one of the following: license plate information, nuclear radiation scanning information, vehicle weight information, perspective image, appearance image, temperature information of the target object, face information, certificate information and customs declaration information.

[0055] For example, the L first detection devices 2111 may include a license plate recognition device, a non-invasive vehicle scanning device (radiation detection device), a nuclear radiation scanning device, a lane spraying and disinfection device, and a weighbridge, etc. The first traffic information may be a license plate number, a license plate image, a vehicle appearance image, a vehicle cargo transmission image, nuclear radiation data, a lane spraying and disinfection result, and a vehicle weight, etc.

[0056] The P second detection devices 2112 may include a face recognition device, a document recognition device, a document scanning device, a temperature measurement device, etc. The second pass information may include a face image, an identity document image, an image of a related application document, and a body temperature value of the target object.

[0057] For example, an integrated workbench can be set up in the second sub-area, and a face recognition device, a document recognition device, a document scanning device, and a temperature measurement device can be integrated on the integrated workbench. After the target vehicle arrives at the integrated workbench in the second sub-area, the target object (driver) can turn around and place the identity document and related application documents, and perform temperature measurement, photo taking, face recognition, etc.

[0058] For example, the L first detection devices may also include an entry collection device and an exit collection device.

[0059] The entry acquisition device can detect the initial time when the target vehicle enters the target detection area and determine the device identification information corresponding to the entry acquisition device. The exit acquisition device can detect the initial time when the target vehicle leaves the target detection area and determine the device identification information corresponding to the exit acquisition device.

[0060] For example, the entrance acquisition device may include a front gear lever, a front gear lever control device, and a first ground sensing coil. After the first ground sensing coil detects the target passing vehicle, the first ground sensing coil sends the relevant passing information to the vehicle inspection subsystem 110. When the vehicle inspection subsystem 110 determines that there is no vehicle to be inspected in the corresponding target detection area 101, control information for raising the front gear lever is sent to the front gear lever control device. Based on the control information, the front gear lever control device controls the front gear lever to be raised, and at the same time records the initial time when the target passing vehicle enters the target detection area and the corresponding device identification information, and sends the initial time when the target passing vehicle enters the target detection area and the corresponding device identification information to the vehicle inspection subsystem 110 for processing.

[0061] For example, the exit acquisition device may include a rear lever, a rear lever control device, and a second ground sensing coil. After the second ground sensing coil detects the target passing vehicle, the second ground sensing coil sends the relevant passing information to the rear lever control device. Based on the passing information, the rear lever control device controls the rear lever to rise, and at the same time records the initial time when the target passing vehicle leaves the target detection area and the corresponding device identification information, and sends the initial time when the target passing vehicle leaves the target detection area and the corresponding device identification information to the vehicle inspection subsystem 110 for processing.

[0062] The data management subsystem 220 may include a data processing module 221 , a cache module 222 , and a display module 223 .

[0063] According to an embodiment of the present disclosure, the inspection result may include a verification result. The data processing module 221 obtains the inspection result according to the area identification information, the target traffic information and the detection time, which may include the following operations: when it is determined that the detection time is greater than the entry time, the target passing vehicle is verified according to the first traffic information and the second traffic information to obtain a verification result, wherein the entry time represents the initial time when the target passing vehicle enters the target detection area; and the verification result is obtained according to the verification result and the area identification information.

[0064] For example, when it is determined that the detection time is greater than the entry time, the first pass information includes the license plate number, the vehicle appearance image, the vehicle cargo transmission image, the nuclear radiation data, the lane spraying and disinfection results and the vehicle weight, and the second pass information includes the face image, the identity card image, the relevant application document image and the body temperature value of the target object, the data processing module 221 can verify the target passing vehicle according to the first pass information and the second pass information according to the following operations to obtain the verification result.

[0065] The data processing module 221 can identify the relevant application document image and determine the license plate number, vehicle type and cargo type. The license plate number in the first traffic information is compared with the license plate number identified from the relevant application document image to determine whether the target passing vehicle is correct. Based on the cargo type, a predetermined type of cargo image is determined, and the vehicle cargo transmission image is compared with the predetermined type of cargo image to determine whether the cargo type meets the traffic requirements. The nuclear radiation data in the first traffic information is compared with the nuclear radiation threshold to confirm whether the cargo meets the nuclear radiation requirements. Based on the lane spraying and disinfection results in the first traffic information, confirm whether the target passing vehicle is sprayed and disinfected. Determine whether the vehicle is overloaded based on the vehicle load determined based on the vehicle type, the vehicle load determined based on the vehicle appearance image, and the vehicle weight.

[0066] The data processing module 221 can identify the image of the relevant application document, determine the first identity information of the target object, identify the image of the identity document, determine the second identity information of the target object, compare the first identity information and the second identity information, and confirm whether the target object information is correct. Compare the face image with the face in the identity document image to determine whether the target object is correct. Compare the temperature value of the target object with the predetermined temperature value to determine whether the temperature of the target object is normal. The data processing module 221 can identify the image of the relevant application document, determine the control information, and determine whether the target object meets the traffic requirements based on the control information.

[0067] According to the embodiments of the present disclosure, when the detection time is greater than the entry time, it indicates that the target traffic information occurs after the target traffic vehicle enters the target detection area, and the target traffic information is the traffic information corresponding to the target traffic vehicle, not the traffic information of the vehicle in front of the target traffic vehicle. Therefore, before verifying the traffic information, the judgment that the detection time is greater than the entry time can ensure the accuracy of the target traffic information. Based on the first traffic information and the second traffic information, the target traffic vehicle is verified to obtain the verification result. The collected traffic information can be automatically verified to obtain the verification result without obtaining other additional information from other external systems, thereby greatly improving the verification efficiency.

[0068] The cache module 222 can temporarily store the inspection result according to the area identification information and the detection time. The display module 223 can display the inspection result according to the area identification information and the detection time.

[0069] According to an embodiment of the present disclosure, the display module 223 may include a visualization interface, and based on the area identification information, the detection results of the target detection area are displayed in a predetermined position of the visualization interface in the order of the detection time. Among them, the detection results corresponding to multiple target detection areas can be concentrated in one visualization interface, so that the same inspection personnel can monitor and view the detection results corresponding to multiple target detection areas at the same time, which greatly reduces the number of inspection personnel involved in vehicle inspection.

[0070] According to the embodiments of the present disclosure, the display module 223 can provide a friendly visual interface for the inspectors, enabling them to monitor the inspection process in real time, check the status of the driver, vehicle, and cargo, and perform operations such as problem alarm and processing.

[0071] The cache module 222 temporarily stores the inspection result according to the area identification information and the detection time, which may include the following operations: when it is determined that the detection time is greater than the entry time, the inspection result is temporarily stored according to the area identification information. The display module 223 displays the inspection result according to the area identification information and the detection time, which may include the following operations: when it is determined that the detection time is greater than the entry time, the inspection result is displayed according to the area identification information.

[0072] According to an embodiment of the present disclosure, when the detection time is greater than the entry time, it indicates that the target traffic information occurs after the target traffic vehicle enters the target detection area, and the target traffic information is the traffic information corresponding to the target traffic vehicle, not the traffic information of the vehicle in front of the target traffic vehicle, and not the traffic information of the vehicle behind the target traffic vehicle. Therefore, when it is determined that the detection time is greater than the entry time, the inspection result is temporarily stored according to the area identification information, and the accuracy of the stored inspection result can be ensured. When it is determined that the detection time is greater than the entry time, the inspection result is displayed according to the area identification information, and the accuracy of the displayed inspection result can be ensured.

[0073] According to the embodiment of the present disclosure, when the detection time is greater than the entry time, it indicates that the target traffic information occurs after the target vehicle enters the target detection area, and the target traffic information is the traffic information corresponding to the target vehicle, not the traffic information of the vehicle in front of the target vehicle, and not the traffic information of the vehicle behind the target vehicle. Therefore, after the target vehicle leaves the target detection area, the data management subsystem can receive the target traffic information that does not affect the detection result based on the detection time and the entry time, and temporarily store it based on the cache module, so that the target vehicle can pass the target road without waiting for all the information related to it to be stored, further improving the efficiency of the target vehicle inspection.

[0074] For example, the target traffic information that does not affect the detection result may be a license plate image collected by a license plate recognition device and an image collected by a temperature measurement device.

[0075] Figure 3 A schematic diagram of a vehicle inspection system according to another embodiment of the present disclosure is schematically shown.

[0076] like Figure 3 As shown, the vehicle inspection system 300 may include a vehicle inspection subsystem 310 and a data management subsystem 320. The vehicle inspection subsystem 310 may include M detection devices. The M detection devices may include L first detection devices 3111, P second detection devices 3112, and a monitoring device 3113. The data management subsystem 320 may include a data processing module 321, a cache module 322, a display module 323, a disk storage module 324, and a cache clearing module 325.

[0077] Figure 3 The first detection device 3111 and the second detection device 3112 are respectively Figure 2 The first detection device 2111 and the second detection device 2112 have similar structures and functions. Figure 3 The data processing module 321, the cache module 322 and the display module 323 are respectively Figure 2 The data processing module 221, the cache module 222 and the display module 223 have similar structures and functions, and for the sake of simplicity, they are not described here in detail.

[0078] According to an embodiment of the present disclosure, the target passage information may include first passage information corresponding to each of L first detection devices, first detection time and first device identification information, second passage information corresponding to each of P second detection devices, second detection time and second device identification information and detection video, video detection time and monitoring device identification information.

[0079] The monitoring device 3113 can monitor the detection process of the target passing vehicle in the target detection area, and generate the detection video, video detection time and monitoring device identification information.

[0080] For example, when a target passing vehicle enters a target detection area and the data management subsystem determines the entry time, the data management subsystem can call the monitoring device 3113 to monitor and track the entire vehicle inspection process based on the monitoring device identification information corresponding to the area identification information of the target detection area, and generate a detection video, video detection time, and monitoring device identification information. The cache module 222 can also cache the detection video, video detection time, and monitoring device identification information when it is determined that the detection time is greater than the entry time. The display module 223 can also display the detection video according to the area identification information when it is determined that the detection time is greater than the entry time.

[0081] According to the embodiment of the present disclosure, the detection process of the target passing vehicle in the target detection area is monitored by using the monitoring device 3113, and the detection video, video detection time and monitoring device identification information are generated. Then, the display module 223 is used to display the monitoring device identification information according to the area identification information and the video detection time, so that the inspection personnel can monitor the inspection process in real time and perform problem alarms, etc. This helps the inspection personnel to find and solve problems in a timely manner and ensure the smooth progress of the inspection process.

[0082] According to the embodiment of the present disclosure, when the inspector determines that there is no problem with the target passing vehicle based on the inspection result displayed by the display module 223, the inspection is completed and the vehicle leaves. If it is determined that there is a problem with the target passing vehicle, an alarm is issued, and relevant personnel are notified to re-inspect or perform other processing, and real-time monitoring is performed to regenerate the inspection result. When it is determined that there is no problem with the target passing vehicle based on the newly generated inspection result, the inspection is completed, the vehicle leaves, and the regenerated inspection result is stored on the disk.

[0083] The disk storage module 324 can store the area identification information, entry time, exit time and inspection results on disk, and generate a target storage identification after the disk storage operation is completed, wherein the entry time represents the initial time when the target passing vehicle enters the target detection area, and the exit time represents the initial time when the target passing vehicle leaves the target detection area.

[0084] According to an embodiment of the present disclosure, area identification information, entry time, departure time and inspection results can be stored on disk by utilizing a disk storage module, so that the inspection results can be obtained from the disk based on the area identification information, entry time and departure time, and subsequent matters can be tracked based on the inspection results of the complete process including the vehicle inspection business.

[0085] According to the embodiments of the present disclosure, the area identification information, entry time, departure time and inspection results can be stored on disk by using the disk storage module, and the inspection process can be completely traced based on the stored area identification information, entry time, departure time and inspection results. At the same time, the problems and abnormal conditions found can be recorded, which is helpful for troubleshooting and solving problems, accumulating experience for the subsequent occurrence of such incidents, and improving the stability and reliability of supervision. This is very valuable for post-event data analysis and verification, and can help identify the root cause of the problem and improve the processing flow.

[0086] According to the embodiments of the present disclosure, the area identification information, entry time, departure time and inspection results can be stored on disk by using the disk storage module. The inspection results can be subsequently queried from the disk, and the relevant inspection videos can be obtained from the inspection results, so as to provide a reference for new employee training based on the best practices of interface operations recorded in the inspection videos. At the same time, the inspection video can be used to show the process and standards of the overall inspection business, which helps to improve the accuracy and efficiency of the inspection personnel's operations. At the same time, this helps to better plan and optimize the inspection process, and further improve operational efficiency and safety.

[0087] The cache clearing module 325 can clear the cache module according to the target storage identifier.

[0088] According to an embodiment of the present disclosure, the cache module is cleared according to the target storage identifier to release the storage space of the cache module, and the inspection result of the next vehicle can be temporarily stored based on the cache module.

[0089] Compared with traditional vehicle inspection methods, the vehicle inspection system provided according to the embodiments of the present disclosure can provide real-time and intelligent vehicle inspection process monitoring, management and complete inspection process recording, and provide technical functions such as rapid tracing of the vehicle inspection process and problem analysis.

[0090] According to the vehicle inspection system provided by the embodiment of the present disclosure, each device in the vehicle inspection system is recorded in the data management subsystem according to the area identification information, and the entire inspection process based on the vehicle inspection system has strict start and end points. The entire inspection process requires manual on-site participation only after problems are detected. The entire inspection process is recorded electronically and is traceable.

[0091] According to the embodiments of the present disclosure, the vehicle inspection subsystem provided by the embodiments of the present disclosure can also be connected to the following external systems to achieve different inspection functions. For example, by connecting to the face recognition system, the driver can be monitored and driver-related information can be identified. By connecting to the in-transit supervision system, the location, route and regional location information of the target passing vehicle during transportation can be viewed historically or tracked in real time. By connecting to the customs business system, for example, connecting to the customs' travel communication system to obtain the driver's declaration information, and connecting to the customs declaration form system to obtain the declaration information of the vehicle and the goods. By connecting to the border inspection business system, for example, connecting to the border inspection system to obtain information such as the deployment of personnel and the reporting of goods entering and leaving the country.

[0092] Based on the above-mentioned vehicle inspection system, an embodiment of the present disclosure also provides a vehicle inspection method.

[0093] Figure 4 A flow chart of a vehicle inspection method according to an embodiment of the present disclosure is schematically shown.

[0094] like Figure 4 As shown, the vehicle inspection method includes operations S410 to S420.

[0095] In operation S410, non-contact detection is performed on a target passing vehicle to obtain target passing information, detection time, and device identification information of a detection device corresponding to the target passing vehicle.

[0096] In operation S420, the area identification information corresponding to the target detection area is determined according to the equipment identification information and the equipment association table, and the inspection result is obtained according to the area identification information, the target traffic information and the detection time. Among them, the equipment association table stores N area identification information corresponding to N detection areas one by one and equipment identification information of M detection devices corresponding to each area identification information, the M detection devices are set in the target detection area included in the target road to be passed by the target passing vehicle, the target detection area is any one of the N detection areas, and M and N are both positive integers.

[0097] According to an embodiment of the present disclosure, the M detection devices include L first detection devices and P second detection devices. The vehicle inspection method also includes: using the L first detection devices to perform non-contact detection of the target passing vehicle and the cargo, and obtaining the first passing information, the first detection time and the first device identification information corresponding to each of the L first detection devices; using the P second detection devices to perform non-contact detection on the target object driving the target passing vehicle, and obtaining the second passing information, the second detection time and the second device identification information corresponding to each of the P second detection devices, wherein L and P are both positive integers.

[0098] According to an embodiment of the present disclosure, the inspection result includes a verification result. Figure 4 The operation S420 shown obtains a verification result based on the area identification information, the target traffic information and the detection time, and may include the following operations: when it is determined that the detection time is greater than the entry time, the target passing vehicle is verified according to the first traffic information and the second traffic information to obtain a verification result, wherein the entry time represents the initial time when the target passing vehicle enters the target detection area; and the verification result is obtained based on the verification result and the area identification information.

[0099] According to an embodiment of the present disclosure, the vehicle inspection method further includes: temporarily storing the inspection result according to the area identification information and the detection time; and displaying the inspection result according to the area identification information and the detection time.

[0100] According to an embodiment of the present disclosure, temporarily storing the inspection result according to the area identification information and the detection time may include the following operations: when it is determined that the detection time is greater than the entry time, temporarily storing the inspection result according to the area identification information. Displaying the inspection result according to the area identification information and the detection time may include the following operations: when it is determined that the detection time is greater than the entry time, displaying the inspection result according to the area identification information.

[0101] According to an embodiment of the present disclosure, the inspection result includes a detection video, and the M detection devices also include a monitoring device. The vehicle inspection method also includes: using the monitoring device to monitor the detection process of the target passing vehicle in the target detection area, generating a detection video, a video detection time and monitoring device identification information.

[0102] According to an embodiment of the present disclosure, the vehicle inspection method further includes: storing the area identification information, the entry time, the exit time and the inspection result on a disk, and generating a target storage identifier after the disk storage operation is completed. The entry time represents the initial time when the target passing vehicle enters the target detection area, and the exit time represents the initial time when the target passing vehicle leaves the target detection area; according to the target storage identifier, the cache module is cleared.

[0103] According to an embodiment of the present disclosure, the target passage information includes at least one of the following: license plate information, nuclear radiation scanning information, vehicle weight information, perspective image, appearance image, temperature information of the target object, face information, certificate information and customs declaration information.

[0104] According to an embodiment of the present disclosure, the L first detection devices include an entry collection device and an exit collection device. The vehicle inspection method further includes: using the entry collection device to detect the initial time when the target passing vehicle enters the target detection area, and determining the device identification information corresponding to the entry collection device. Using the exit collection device to detect the initial time when the target passing vehicle leaves the target detection area, and determining the device identification information corresponding to the exit collection device.

[0105] It should be noted that the vehicle inspection method part in the embodiment of the present disclosure corresponds to the vehicle inspection system part in the embodiment of the present disclosure. The description of the vehicle inspection method part specifically refers to the vehicle inspection system part, which will not be repeated here.

[0106] The flow chart and block diagram in the accompanying drawings illustrate the possible implementation architecture, function and operation of the system and method according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0107] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0108] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A vehicle inspection system, comprising: Vehicle inspection subsystem, including: M detection devices are arranged in a target detection area included in a target road through which a target passing vehicle is to pass, and the M detection devices are used to perform non-contact detection on the target passing vehicle to obtain target passing information corresponding to the target passing vehicle, detection time, and device identification information of the detection device, wherein the target road includes N detection areas, the target detection area is any one of the N detection areas, and M and N are both positive integers; Data management subsystem, including: A data processing module is used to determine the area identification information corresponding to the target detection area according to the device identification information and the device association table, and obtain the inspection result according to the area identification information, the target passage information and the detection time, wherein the device association table stores N area identification information corresponding to the N detection areas one by one and the device identification information of M detection devices corresponding to each area identification information.

2. The vehicle inspection system according to claim 1, wherein: The M detection devices include: L first detection devices, used to perform non-contact detection of the target passing vehicle and cargo, and obtain first passing information, first detection time, and first device identification information corresponding to each of the L first detection devices; P second detection devices are used to perform non-contact detection on the target object driving the target passing vehicle to obtain second passing information, second detection time and second device identification information corresponding to each of the P second detection devices, wherein L and P are both positive integers.

3. The vehicle inspection system according to claim 2, wherein: The inspection result includes a verification result, and the inspection result obtained by the data processing module according to the area identification information, the target passage information and the detection time includes: When it is determined that the detection time is greater than the entry time, the target passing vehicle is verified according to the first passing information and the second passing information to obtain a verification result, wherein the entry time represents the initial time when the target passing vehicle enters the target detection area; The verification result is obtained according to the verification result and the area identification information.

4. The vehicle inspection system according to any one of claims 1 to 3, wherein: The data management subsystem also includes: A cache module, used for temporarily storing the inspection result according to the area identification information and the detection time; A display module is used to display the inspection result according to the area identification information and the detection time.

5. The vehicle inspection system according to claim 4, wherein: The cache module temporarily storing the inspection result according to the area identification information and the detection time includes: When it is determined that the detection time is greater than the entry time, temporarily storing the inspection result according to the area identification information; The display module displays the inspection result according to the area identification information and the detection time, including: When it is determined that the detection time is greater than the entry time, the inspection result is displayed according to the area identification information.

6. The vehicle inspection system according to claim 4, wherein: The inspection result includes a detection video, and the M detection devices also include: The monitoring device is used to monitor the detection process of the target passing vehicle in the target detection area, and generate the detection video, video detection time and monitoring device identification information.

7. The vehicle inspection system according to claim 4, wherein: The data management subsystem also includes: A disk storage module is used to store the area identification information, entry time, departure time and the inspection result on a disk, and generate a target storage identification after the disk storage operation is completed, wherein the entry time represents the initial time when the target passing vehicle enters the target detection area, and the departure time represents the initial time when the target passing vehicle leaves the target detection area; A cache clearing module is used to clear the cache module according to the target storage identifier.

8. The vehicle inspection system according to any one of claims 1 to 3, wherein: The target traffic information includes at least one of the following: license plate information, nuclear radiation scanning information, vehicle weight information, perspective image, appearance image, temperature information of the target object, face information, certificate information and customs declaration form information.

9. The vehicle inspection system according to claim 7, wherein: The L first detection devices include: An entrance collection device, used to detect the initial time when the target passing vehicle enters the target detection area, and determine the device identification information corresponding to the entrance collection device; The exit collection device is used to detect the initial time when the target passing vehicle leaves the target detection area and determine the device identification information corresponding to the exit collection device.

10. A vehicle inspection method, comprising: Conducting non-contact detection on a target passing vehicle to obtain target passing information, detection time, and device identification information of a detection device corresponding to the target passing vehicle; According to the device identification information and the device association relationship table, the area identification information corresponding to the target detection area is determined, and the inspection result is obtained according to the area identification information, the target passage information and the detection time, wherein the device association relationship table stores N area identification information corresponding to N detection areas one by one and device identification information of M detection devices corresponding to each area identification information, the M detection devices are arranged in the target detection area included in the target road to be passed by the target passing vehicle, the target detection area is any one of the N detection areas, and M and N are both positive integers.

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