Vehicle identification method, system and device and computer readable storage medium

Abstract

The invention discloses a vehicle identification method, system and device and a computer readable storage medium. The method comprises the following steps: when an event that a vehicle is driven into / out of a berth is detected, collecting a Bluetooth signal of a surrounding environment of the berth and preprocessing the Bluetooth signal to obtain Bluetooth information; filtering the plurality of Bluetooth IDs through a signal exclusion library stored in the server to obtain filtered Bluetooth information; receiving an uploaded inspection shooting event; according to the parking exit event or the inspection shooting event, triggering data association to construct associated data, wherein the associated data comprises an associated event, an associated license plate number and an associated Bluetooth ID set; and determining a corresponding relationship between the license plate number and the Bluetooth ID by using the associated data. Bluetooth signal changes generated when a vehicle is driven into / out of a parking space are combined with license plate information obtained through manual inspection, and a corresponding relation between a license plate and a Bluetooth ID is established through data association and statistical analysis. According to the method, environmental interference can be effectively eliminated, and the accuracy and reliability of vehicle identification are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a vehicle identification method, system, device and computer-readable storage medium. Background Art

[0002] In the field of urban public parking, license plates are usually used as the only identification of vehicles. Existing vehicle recognition technologies mainly rely on license plate recognition, such as license plate recognition technology based on image processing. However, this technology is easily affected by factors such as lighting, weather, and occlusion, resulting in a decrease in recognition rate. In addition, for some special cases, such as damaged license plates, fake license plates, and duplicate license plates, license plate recognition technology is also difficult to effectively deal with.

[0003] As vehicles become more intelligent, they will actively transmit various wireless signals, such as Bluetooth, RFID, etc. Using the wireless signals emitted by vehicles for identification can be an effective supplement to license plate recognition. However, due to the large amount of wireless signal interference in the environment, how to accurately identify the signal of the target vehicle and associate it with the license plate is the main challenge facing this technology.

[0004] Based on this, a new solution is needed. Summary of the invention

[0005] The main purpose of the present invention is to provide a vehicle identification method and system.

[0006] To achieve the above object, the present invention provides a vehicle identification method, comprising the following steps: When a vehicle entering / exiting a parking space event is detected, Bluetooth signals from the parking space surroundings are collected and preprocessed to obtain Bluetooth information, where the Bluetooth information includes multiple Bluetooth IDs, event time, parking space code, and event type; Uploading the Bluetooth information to a server, and filtering the multiple Bluetooth IDs through a signal exclusion library stored in the server to obtain filtered Bluetooth information; Receive inspection photo events uploaded by inspectors, including berth code, license plate number, berth photo and photo time; Triggering data association according to the exiting berth event or the inspection and photographing event to construct associated data, wherein the associated data includes an associated event, an associated license plate number, and an associated Bluetooth ID set; and The association data is used to determine the corresponding relationship between the license plate number and the Bluetooth ID.

[0007] In the vehicle identification method provided by the present invention, in the step of triggering data association according to the parking exit event and constructing associated data, when the parking exit event is received, the most recent entry event of the corresponding parking space, the inspection and photo taking events after the most recent entry event and before the current exit event are searched, and the filtered Bluetooth information corresponding to the most recent entry event is associated with the license plate number in the inspection and photo taking event; when the inspection and photo taking event is received, the most recent entry event of the corresponding parking space before the current inspection and photo taking event is searched, and the filtered Bluetooth information corresponding to the most recent entry event is associated with the license plate number in the current inspection and photo taking event.

[0008] In the vehicle identification method provided by the present invention, the step of using the association data to determine the correspondence between the license plate number and the Bluetooth ID includes: Collect multiple sets of related data for the same license plate number; When the number of groups of associated data reaches a first preset threshold, the number of occurrences of each Bluetooth ID in the associated Bluetooth ID set is counted, and the proportion of the number of occurrences to the total number of groups is calculated as the confidence of the corresponding Bluetooth ID; When the appearance ratio of one of the Bluetooth IDs exceeds a second preset threshold, the corresponding Bluetooth ID is marked as a confirmed Bluetooth ID of the corresponding license plate number; The correspondence between the license plate number and the confirmed Bluetooth ID is saved, and the confidence level of each Bluetooth ID is saved.

[0009] In the vehicle identification method provided by the present invention, after the step of using the association data to determine the correspondence between the license plate number and the Bluetooth ID, the method further includes: When the number of times that the confirmed Bluetooth ID is not continuously included in the associated Bluetooth ID set exceeds a third preset threshold, the confidence of the corresponding Bluetooth ID is lowered, and the Bluetooth ID is added to the candidate failure set.

[0010] In addition, to achieve the above object, the present invention also provides a vehicle identification system, comprising: A Bluetooth information collection device, for collecting and preprocessing Bluetooth signals in the surrounding environment of a parking space when a vehicle entering / exiting a parking space event is detected, to obtain Bluetooth information, wherein the Bluetooth information includes multiple Bluetooth IDs, event time, parking space code and event type; A Bluetooth information filtering module, used for filtering the multiple Bluetooth IDs through a signal exclusion library stored in the server to obtain filtered Bluetooth information; The inspection photo event receiving module is used to receive the inspection photo events uploaded by the inspectors, and the inspection photo events include the berth code, license plate number, berth photo and photo time; A correlation data construction module, used to trigger data association according to a berth exit event or a patrol photography event, and construct correlation data, wherein the correlation data includes a correlation event, a correlation license plate number, and a correlation Bluetooth ID set; and The statistical analysis module is used to determine the corresponding relationship between the license plate number and the Bluetooth ID by using the associated data.

[0011] In the vehicle identification system provided by the present invention, when a parking exit event is received, the associated data construction module is used to search for the most recent entry event of the corresponding parking space, the inspection and photo taking events after the most recent entry event and before the current exit event, and associate the filtered Bluetooth information corresponding to the most recent entry event with the license plate number in the inspection and photo taking event; when a inspection and photo taking event is received, the associated data construction module is used to search for the most recent entry event of the corresponding parking space before the current inspection and photo taking event, and associate the filtered Bluetooth information corresponding to the most recent entry event with the license plate number in the current inspection and photo taking event.

[0012] In the vehicle identification system provided by the present invention, the statistical analysis module includes: A data collection unit, used for collecting multiple sets of associated data of the same license plate number; A data statistics unit, configured to count the number of occurrences of each Bluetooth ID in the associated Bluetooth ID set when the number of groups of associated data reaches a first preset threshold, and calculate the proportion of the number of occurrences to the total number of groups as the confidence of the corresponding Bluetooth ID; a data marking unit, configured to mark the corresponding Bluetooth ID as a confirmed Bluetooth ID corresponding to the license plate number when the appearance ratio of one of the Bluetooth IDs exceeds a second preset threshold; The data storage unit is used to store the corresponding relationship between the license plate number and the confirmed Bluetooth ID, and also store the confidence level of each Bluetooth ID.

[0013] The vehicle identification system provided by the present invention also includes a data adjustment module, which is used to lower the confidence of the corresponding Bluetooth ID and add the Bluetooth ID to the candidate failure set when the number of times the confirmed Bluetooth ID is not continuously included in the associated Bluetooth ID set exceeds a third preset threshold.

[0014] The present invention also provides a vehicle identification device, comprising a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the vehicle identification method described above are implemented.

[0015] The vehicle identification system and method provided by the present invention have the following beneficial effects: the present invention performs vehicle identification based on a combination of Bluetooth signals and manual inspections, making full use of the complementary advantages of Bluetooth signal changes and manual inspection data, and can significantly improve the accuracy and reliability of vehicle identification; by combining Bluetooth signal changes with license plate information collected by manual inspections, a corresponding relationship between Bluetooth ID and license plate number is established through data association and statistical analysis, thereby solving some challenges that may be faced in traditional license plate recognition technology, such as environmental interference, equipment failure, or insufficient recognition accuracy; through data association technology, changes in Bluetooth signals are matched with license plate information; statistical analysis helps evaluate the validity of data, reduce noise and false matches, and ensure high accuracy of vehicle identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on the provided drawings without creative work: Figure 1 Shown is a flow chart of a vehicle identification method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to facilitate understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Typical 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.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0019] Figure 1 FIG. 2 is a flow chart of a vehicle identification method provided by an embodiment of the present invention. Figure 1 As shown, the vehicle identification method includes the following steps: Step S1: when a vehicle entering / exiting a parking space event is detected, Bluetooth signals of the parking space surrounding environment are collected and pre-processed to obtain Bluetooth information, wherein the Bluetooth information includes multiple Bluetooth IDs, event time, parking space code and event type; Specifically, in one embodiment of the present invention, a Bluetooth signal collector and a geomagnetic device are deployed near the berth. The geomagnetic device is used to detect the event of a vehicle entering or leaving the berth, while the Bluetooth signal collector is used to collect Bluetooth signals in the surrounding environment of the berth. When the geomagnetic device detects that a vehicle enters or leaves the berth, the Bluetooth signal collector is triggered to start working. When the event is triggered, the system will record the following information: event time, which represents the specific time when the vehicle enters or leaves; berth code, which identifies the specific berth location; event type, which distinguishes whether the vehicle enters or leaves the berth.

[0020] Specifically, after an event is triggered, the Bluetooth signal collector will collect Bluetooth signals from the surrounding environment within a set time window (e.g., 10 seconds); the collected Bluetooth signals will be parsed to extract the following information: Bluetooth ID (Device ID), the unique identifier of each Bluetooth device; Bluetooth name, the name of the Bluetooth device. Then, the collected Bluetooth signals are sorted according to the strength of the Bluetooth signal (RSSI value), and the M Bluetooth signals with the strongest signal strength (e.g., the first 5) are selected; the selected M Bluetooth signals are combined with the event time, berth code, and event type to form Bluetooth information; finally, the formed Bluetooth information is uploaded to the server for further processing and analysis.

[0021] Furthermore, in one embodiment of the present invention, in order to reduce the amount of data processing, the system can combine with the built-in database or background service to perform preliminary filtering on the collected Bluetooth signals. For example, exclude non-vehicle Bluetooth devices (such as mobile phones, headphones, etc.) and only retain the signals of vehicle-mounted Bluetooth devices. Among them, the Bluetooth device name, type or other characteristics can be used for filtering to ensure that only Bluetooth signals related to the vehicle are retained.

[0022] Through this step, the system can collect and pre-process the Bluetooth signals in the surrounding environment when the vehicle enters or leaves the parking space, generate Bluetooth information containing Bluetooth ID, event time, parking space code and event type, and upload it to the backend system for further processing. This process provides basic data support for subsequent vehicle identification, parking space management and other functions.

[0023] Step S2, uploading the Bluetooth information to a server, and filtering the multiple Bluetooth IDs through a signal exclusion library stored in the server to obtain filtered Bluetooth information; Specifically, in one embodiment of the present invention, the Bluetooth information (including multiple Bluetooth IDs, event time, berth code and event type) generated in step S1 is uploaded to the background server through the network. A dynamically updated signal exclusion library is stored in the background server. The library contains known irrelevant Bluetooth device ID information, such as: Bluetooth devices in surrounding shops (such as Bluetooth speakers, advertising devices, etc. in shopping malls), Bluetooth signals of pedestrians' mobile phones, and other non-vehicle-related Bluetooth devices. The uploaded M Bluetooth IDs are matched with the known irrelevant Bluetooth IDs in the signal exclusion library. If a Bluetooth ID exists in the signal exclusion library, it is excluded from the uploaded Bluetooth ID set; finally, the excluded Bluetooth ID set is obtained, and these Bluetooth IDs are considered to be signals that may be related to the vehicle. Subsequently, the background system stores the relevant information of this event in the database, including: event time, the specific time when the vehicle enters or leaves; berth code, identifying the specific berth location; event type, distinguishing whether the vehicle enters or leaves the berth; excluded Bluetooth ID set, the Bluetooth ID retained after filtering.

[0024] In this embodiment, the system can use the signal exclusion library to filter the uploaded Bluetooth information, exclude known non-vehicle related Bluetooth signals, and thus obtain a more accurate Bluetooth ID set. These filtered Bluetooth information provides a reliable data basis for subsequent vehicle identification.

[0025] Step S3, receiving the inspection photo event uploaded by the inspector, wherein the inspection photo event includes the berth code, license plate number, berth photo and photo time; Specifically, in one embodiment of the present invention, the inspector uses a device (such as a smart phone or tablet computer) to take photos of vehicles on parking spaces and record the specific status and location of the vehicles. The photos taken by the inspector can be processed by image recognition technology to automatically extract the parking space code and license plate number in the photos. Image recognition technology can scan photos and identify the license plate number of the vehicle, as well as the parking space code information, and automatically fill in the relevant data. If image recognition cannot accurately extract relevant information, the inspector can also manually enter the parking space code and license plate number to ensure the accuracy of the data. The inspector uploads the photos and related information (photo time, parking space code, license plate number) to the background system. The background system receives the data uploaded by the inspector and stores it in the database. The stored data includes: photo time, which records the time when the inspector took the photo as a timestamp to facilitate later data analysis; parking space code, a unique identifier for each parking space, which is convenient for locating and managing parking spaces; license plate number, a unique identifier for the vehicle, which is convenient for identifying vehicles parked in each parking space.

[0026] Step S4: triggering data association according to the exiting berth event or the inspection and photographing event to construct associated data, wherein the associated data includes an associated event, an associated license plate number, and an associated Bluetooth ID set; Specifically, in an embodiment of the present invention, the data association operation is triggered according to the event type (driving in / driving out) or the photo-taking event uploaded by the inspector. Through the association operation, a set of associated data is constructed, including: the associated time, the time when the association operation is triggered (the driving-out event time or the photo-taking event time); the associated license plate number, the license plate number identified in the inspection photo-taking event; the set of associated Bluetooth IDs: the set of excluded Bluetooth IDs corresponding to the driving-in event.

[0027] Specifically, when a driving-out-of-berth event occurs, first, find the most recent driving-in event for this berth; then, find the inspection photo-taking events after this driving-in event and before this driving-out event; finally, associate the set of excluded Bluetooth IDs corresponding to the driving-in event with the license plate number in the inspection photo-taking event. For example, berth code: A001; driving-out event time: 2023-10-01 10:00:00; driving-in event time: 2023-10-01 09:00:00; inspection photo-taking event time: 2023-10-01 09:30:00, license plate number: Beijing AAAAA; set of Bluetooth IDs corresponding to the driving-in event: {ID1, ID2, ID3}; then the association result is: associated time: 2023-10-01 10:00:00 (driving-out event time); associated license plate number: Beijing AAAAA; set of associated Bluetooth IDs: {ID1, ID2, ID3}.

[0028] Specifically, when receiving the photo-taking event uploaded by the inspector, first, find the most recent driving-in event for this berth before this photo-taking event; then, associate the set of excluded Bluetooth IDs corresponding to the driving-in event with the license plate number in this photo-taking event. For example, berth code: A001; driving-in event time: 2023-10-01 09:00:00; photo-taking event time: 2023-10-01 09:30:00, license plate number: Beijing AAAAA; set of Bluetooth IDs corresponding to the driving-in event: {ID1, ID2, ID3}; association result, associated time: 2023-10-01 09:30:00 (photo-taking event time); associated license plate number: Beijing AAAAA; set of associated Bluetooth IDs: {ID1, ID2, ID3}.

[0029] Furthermore, in an embodiment of the present invention, in order to avoid associating outdated data, the system can set a time window threshold. When an event occurs, the system will only associate the inspection photo-taking events or driving-out events within the set time window, which can avoid outdated or irrelevant associations, thereby improving the accuracy of data processing.

[0030] In this embodiment, by triggering data association, the system can timely and accurately track the Bluetooth signal of the target vehicle to avoid omission. By setting the time window threshold, the system can effectively avoid using outdated data during processing, thereby ensuring the timeliness and accuracy of the data.

[0031] Step S5: using the associated data, determining the correspondence between the license plate number and the Bluetooth ID; Specifically, in one embodiment of the present invention, the corresponding relationship between the license plate number and the Bluetooth ID is determined by using the associated data (including the associated time, the associated license plate number and the associated Bluetooth ID set). For the same license plate number, the system collects multiple sets of associated data, each set of data includes: the associated time, the time when the associated operation is triggered; the associated Bluetooth ID set, the Bluetooth ID set associated with the license plate number; when the number of groups of associated data reaches the preset threshold value X, all associated Bluetooth ID sets are traversed, and the number of times each Bluetooth ID appears is counted; for each Bluetooth ID, the proportion of its number of occurrences to the total number of groups is calculated as the confidence of the Bluetooth ID; when the confidence of a Bluetooth ID exceeds the preset threshold value Y, it is determined that the Bluetooth ID has established a stable corresponding relationship with the license plate number, and the Bluetooth ID is marked as the confirmed Bluetooth ID of the license plate number; at the same time, the corresponding relationship between the license plate number and the confirmed Bluetooth ID and the confidence of each Bluetooth ID are saved for subsequent analysis and verification.

[0032] For example, license plate number: Beijing AAAAA; preset threshold X = 5 (requires at least 5 sets of associated data); preset threshold Y = 0.6 (confidence level must exceed 60%); Related Data Groups: | Association time | Association Bluetooth ID set | |--------------------|----------------------| | 2023-10-01 09:30:00 | {ID1, ID2, ID3}| | 2023-10-01 10:00:00 | {ID1, ID2}| | 2023-10-01 10:30:00 | {ID1, ID3}| | 2023-10-01 11:00:00 | {ID1, ID2, ID3}| | 2023-10-01 11:30:00 | {ID1, ID2}| The total number of associated data groups is 5; the number of Bluetooth ID occurrences is: ID1: 5 times; ID2: 4 times; ID3: 3 times; confidence: ID1: 5 / 5 = 100%; ID2: 4 / 5 = 80%; ID3: 3 / 5 = 60%; therefore, the confidence of ID1 is 100% (exceeding the threshold Y=60%), marked as a confirmed Bluetooth ID; the confidence of ID2 is 80% (exceeding the threshold Y=60%), marked as a confirmed Bluetooth ID; the confidence of ID3 is 60% (equal to the threshold Y=60%), and is not marked as a confirmed Bluetooth ID. Saved results: License plate number: Beijing AAAAA; Confirmed Bluetooth ID: {ID1, ID2}; confidence: ID1: 100%; ID2: 80%.

[0033] Therefore, step S5 includes: collecting multiple groups of associated data of the same license plate number; when the number of groups of associated data reaches a first preset threshold, counting the number of occurrences of each Bluetooth ID in the associated Bluetooth ID set, and calculating the proportion of the number of occurrences to the total number of groups as the confidence of the corresponding Bluetooth ID; when the appearance ratio of one of the Bluetooth IDs exceeds a second preset threshold, marking the corresponding Bluetooth ID as a confirmed Bluetooth ID of the corresponding license plate number; saving the correspondence between the license plate number and the confirmed Bluetooth ID, and saving the confidence of each Bluetooth ID at the same time.

[0034] In this embodiment, by statistically analyzing the associated data, a corresponding Bluetooth ID is matched for each vehicle, so that the system can quickly identify the vehicle identity through the confirmed Bluetooth ID. At the same time, the reliability of the corresponding relationship between the associated Bluetooth ID and the license plate number is evaluated through confidence, supporting subsequent optimization. Through multiple sets of associated data and confidence calculations, the accuracy of the corresponding relationship between the Bluetooth ID and the license plate number is ensured. Through the above steps, the system can efficiently and accurately establish the corresponding relationship between the license plate number and the Bluetooth ID, providing reliable data support for smart parking management.

[0035] Further, in one embodiment of the present invention, after the corresponding relationship between the license plate number and the confirmed Bluetooth ID is established, in the data association step after the inspection, the system will check whether the previously confirmed Bluetooth ID is continuously missing in the current associated Bluetooth ID set. If the confirmed Bluetooth ID is not associated in multiple inspections, and the number of continuous missing times exceeds the preset threshold Z, the system will consider that the validity of this Bluetooth ID is abnormal. When the confirmed Bluetooth ID continues to not appear in multiple inspection events, and the number of times exceeds the threshold Z, the system will lower the confidence of the Bluetooth ID. Once it is found that a Bluetooth ID has not been effectively matched in multiple inspections, the Bluetooth ID will be added to the candidate invalidation set. The candidate invalidation set is a temporary set for storing those Bluetooth IDs that may be invalid. The system will decide whether to completely abolish the Bluetooth ID based on the subsequent association situation. If a Bluetooth ID reappears in the subsequent association process and its frequency of appearance increases, the system will determine that the Bluetooth ID may have restored its validity. Once a Bluetooth ID reappears and is frequently associated, the system will increase the confidence of the Bluetooth ID based on its frequency of occurrence, restore it to a credible Bluetooth ID, and re-establish a stable association with the license plate number. In this way, the system can dynamically adjust the status of each Bluetooth ID to maintain accuracy and stability during the vehicle identification process. Therefore, after step S5, it also includes: when the number of times that the associated Bluetooth ID set does not contain a confirmed Bluetooth ID exceeds a third preset threshold, lower the confidence of the corresponding Bluetooth ID and add the Bluetooth ID to the candidate invalidation set In this embodiment, by adding continuous missing detection and dynamic confidence adjustment mechanisms in the data association process, the system can adapt to changes in the correspondence between the license plate number and the Bluetooth ID in real time, and can automatically adjust in particular when abnormal situations occur. For example, if a Bluetooth ID cannot be effectively matched within a period of time, the system will lower its confidence and re-evaluate its effectiveness. On the contrary, if it reappears and matches frequently, the system will increase its confidence again. This mechanism can not only reduce mismatches caused by accidental events, but also prevent long-term invalid Bluetooth IDs from being mistakenly continued as valid correspondences. Through this dynamic adjustment mechanism, the system can maintain efficient and stable vehicle identification.

[0036] The vehicle identification method and system based on the combination of Bluetooth signals and manual inspections, by combining the Bluetooth signal changes generated when the vehicle enters / exits the parking space with the license plate information obtained by manual inspections, establishes the corresponding relationship between the license plate and the Bluetooth ID by using data association and statistical analysis. This method can effectively eliminate environmental interference, improve the accuracy and reliability of vehicle identification, and can serve as an effective supplement to existing license plate recognition technology, with broad application prospects.

[0037] Traditional license plate recognition technology often relies on cameras and image processing technology, and recognition problems may occur when the ambient light is insufficient or the viewing angle is poor. The combination of Bluetooth signals can be used as an effective supplementary means to help improve the performance of the overall vehicle identification system. The Bluetooth signal itself is greatly affected by environmental factors, such as signal attenuation, reflection, obstacles, etc. However, the present invention is based on the combination of Bluetooth signals and manual inspections to identify vehicles, making full use of the complementary advantages of Bluetooth signal changes and manual inspection data, and can significantly improve the accuracy and reliability of vehicle identification. By combining Bluetooth signal changes with license plate information collected by manual inspections, the corresponding relationship between Bluetooth ID and license plate number is established through data association and statistical analysis, thereby solving some challenges that may be faced in traditional license plate recognition technology, such as environmental interference, equipment failure, or insufficient recognition accuracy. Through data association technology, the changes in Bluetooth signals are matched with license plate information. Statistical analysis helps evaluate the validity of data, reduce noise and false matches, and ensure high accuracy of vehicle identification.

[0038] By combining Bluetooth signals with manual inspection data, the system can effectively filter out interference, reduce error rates, and improve the reliability of data association results. Since the system has strong adaptability and robustness and can provide stable recognition results in a variety of complex environments, it is expected to be widely used in smart parking, vehicle access management, smart transportation and other fields.

[0039] Correspondingly, the present invention also provides a vehicle identification system, comprising: a Bluetooth information collection device, which is used to collect and pre-process the Bluetooth signal of the surrounding environment of the parking space when detecting a vehicle entering / exiting a parking space event, so as to obtain Bluetooth information, wherein the Bluetooth information includes multiple Bluetooth IDs, event time, parking space code and event type; a Bluetooth information filtering module, which is used to filter the multiple Bluetooth IDs through a signal exclusion library stored in a server to obtain filtered Bluetooth information; a patrol photo event receiving module, which is used to receive patrol photo events uploaded by patrol inspectors, wherein the patrol photo events include parking space code, license plate number, parking space photo and photo time; an associated data construction module, which is used to trigger data association according to a parking exit event or a patrol photo event, and construct associated data, wherein the associated data includes an associated event, an associated license plate number and an associated Bluetooth ID set; and a statistical analysis module, which is used to use the associated data to determine the correspondence between the license plate number and the Bluetooth ID.

[0040] Specifically, in one embodiment of the present invention, when a parking exit event is received, the associated data construction module is used to search for the most recent entry event of the corresponding parking space, the inspection and photo taking event after the most recent entry event and before the current exit event, and associate the filtered Bluetooth information corresponding to the most recent entry event with the license plate number in the inspection and photo taking event; when a inspection and photo taking event is received, the associated data construction module is used to search for the most recent entry event of the corresponding parking space before the current inspection and photo taking event, and associate the filtered Bluetooth information corresponding to the most recent entry event with the license plate number in the current inspection and photo taking event.

[0041] Specifically, in one embodiment of the present invention, the statistical analysis module includes: a data collection unit, which is used to collect multiple groups of associated data of the same license plate number; a data statistics unit, which is used to count the number of occurrences of each Bluetooth ID in the associated Bluetooth ID set when the number of groups of associated data reaches a first preset threshold, and calculate the proportion of the number of occurrences to the total number of groups as the confidence of the corresponding Bluetooth ID; a data marking unit, which is used to mark the corresponding Bluetooth ID as a confirmed Bluetooth ID of the corresponding license plate number when the appearance ratio of one of the Bluetooth IDs exceeds a second preset threshold; a data storage unit, which is used to save the correspondence between the license plate number and the confirmed Bluetooth ID, and at the same time save the confidence of each Bluetooth ID.

[0042] Specifically, in one embodiment of the present invention, a data adjustment module is also included, which is used to lower the confidence of the corresponding Bluetooth ID and add the Bluetooth ID to the candidate failure set when the number of times that the confirmed Bluetooth ID is not continuously included in the associated Bluetooth ID set exceeds a third preset threshold.

[0043] The embodiment of the present invention further provides a vehicle identification device, which may include: Memory for storing computer programs; The processor can implement the following steps when executing the computer program stored in the above memory: When a vehicle entering / exiting a parking space event is detected, Bluetooth signals from the parking space surroundings are collected and preprocessed to obtain Bluetooth information, which includes multiple Bluetooth IDs, event time, parking space code, and event type; the Bluetooth information is uploaded to a server, and the multiple Bluetooth IDs are filtered through a signal exclusion library stored in the server to obtain filtered Bluetooth information; inspection and photo taking events uploaded by inspectors are received, and the inspection and photo taking events include parking space code, license plate number, parking space photo, and photo taking time; data association is triggered according to parking exit events or inspection and photo taking events, and associated data is constructed, and the associated data includes associated events, associated license plate numbers, and associated Bluetooth ID sets; and the corresponding relationship between the license plate number and the Bluetooth ID is determined using the associated data.

[0044] The embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps can be implemented; When a vehicle entering / exiting a parking space event is detected, Bluetooth signals from the parking space surroundings are collected and preprocessed to obtain Bluetooth information, which includes multiple Bluetooth IDs, event time, parking space code, and event type; the Bluetooth information is uploaded to a server, and the multiple Bluetooth IDs are filtered through a signal exclusion library stored in the server to obtain filtered Bluetooth information; inspection and photo taking events uploaded by inspectors are received, and the inspection and photo taking events include parking space code, license plate number, parking space photo, and photo taking time; data association is triggered according to parking exit events or inspection and photo taking events, and associated data is constructed, and the associated data includes associated events, associated license plate numbers, and associated Bluetooth ID sets; and the corresponding relationship between the license plate number and the Bluetooth ID is determined using the associated data.

[0045] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM) > a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0046] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0047] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those explicitly recited in each claim. More specifically, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present invention.

[0048] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and further may be divided into a plurality of submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device so disclosed may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0049] In addition, those skilled in the art will appreciate that, although some embodiments herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

[0050] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0051] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A vehicle identification method, characterized in that: The following steps are involved: When a vehicle entering / exiting a parking space event is detected, Bluetooth signals from the parking space surroundings are collected and preprocessed to obtain Bluetooth information, where the Bluetooth information includes multiple Bluetooth IDs, event time, parking space code, and event type; Uploading the Bluetooth information to a server, and filtering the multiple Bluetooth IDs through a signal exclusion library stored in the server to obtain filtered Bluetooth information; Receive inspection photo events uploaded by inspectors, the inspection photo events including berth code, license plate number, berth photo and photo time; Triggering data association according to the exiting berth event or the inspection and photographing event to construct associated data, wherein the associated data includes an associated event, an associated license plate number, and an associated Bluetooth ID set; as well as The association data is used to determine the corresponding relationship between the license plate number and the Bluetooth ID.

2. The vehicle identification method according to claim 1, characterized in that: In the step of triggering data association according to the exiting berth event and constructing associated data, when the exiting berth event is received, the most recent entry event of the corresponding berth, the inspection and photo taking event after the most recent entry event and before the current exiting event are searched, and the filtered Bluetooth information corresponding to the most recent entry event is associated with the license plate number in the inspection and photo taking event; When a patrol photo event is received, the most recent entry event of the corresponding berth before the current patrol photo event is searched, and the filtered Bluetooth information corresponding to the most recent entry event is associated with the license plate number in the current patrol photo event.

3. The vehicle identification method according to claim 1, characterized in that: The step of determining the correspondence between the license plate number and the Bluetooth ID using the association data includes: Collect multiple sets of associated data for the same license plate number; When the number of groups of associated data reaches a first preset threshold, the number of occurrences of each Bluetooth ID in the associated Bluetooth ID set is counted, and the proportion of the number of occurrences to the total number of groups is calculated as the confidence of the corresponding Bluetooth ID; When the appearance ratio of one of the Bluetooth IDs exceeds a second preset threshold, the corresponding Bluetooth ID is marked as a confirmed Bluetooth ID of the corresponding license plate number; The correspondence between the license plate number and the confirmed Bluetooth ID is saved, and the confidence level of each Bluetooth ID is saved.

4. The vehicle identification method according to claim 3, characterized in that: After the step of using the association data to determine the correspondence between the license plate number and the Bluetooth ID, the method further includes: When the number of times that the confirmed Bluetooth ID is not continuously included in the associated Bluetooth ID set exceeds a third preset threshold, the confidence of the corresponding Bluetooth ID is lowered, and the Bluetooth ID is added to the candidate invalid set.

5. A vehicle identification system, characterized in that: include: A Bluetooth information collection device, for collecting and preprocessing Bluetooth signals in the surrounding environment of a parking space when a vehicle entering / exiting a parking space event is detected, to obtain Bluetooth information, wherein the Bluetooth information includes multiple Bluetooth IDs, event time, parking space code and event type; A Bluetooth information filtering module, used for filtering the multiple Bluetooth IDs through a signal exclusion library stored in the server to obtain filtered Bluetooth information; The inspection photo event receiving module is used to receive the inspection photo events uploaded by the inspectors, and the inspection photo events include the berth code, license plate number, berth photo and photo time; A correlation data construction module, used to trigger data association according to a berth exit event or a patrol photo event, and construct correlation data, wherein the correlation data includes a correlation event, a correlation license plate number, and a correlation Bluetooth ID set; as well as The statistical analysis module is used to determine the corresponding relationship between the license plate number and the Bluetooth ID by using the associated data.

6. The vehicle identification system according to claim 5, characterized in that: When receiving a berth exit event, the associated data construction module is used to search for the most recent entry event of the corresponding berth, the inspection and photo taking event after the most recent entry event and before the current exit event, and associate the filtered Bluetooth information corresponding to the most recent entry event with the license plate number in the inspection and photo taking event; When receiving a patrol photo event, the associated data construction module is used to find the most recent entry event of the corresponding berth before the patrol photo event, and associate the filtered Bluetooth information corresponding to the most recent entry event with the license plate number in the patrol photo event.

7. The vehicle identification system according to claim 5, characterized in that: The statistical analysis module includes: A data collection unit, used for collecting multiple sets of associated data of the same license plate number; A data statistics unit, configured to count the number of occurrences of each Bluetooth ID in the associated Bluetooth ID set when the number of groups of associated data reaches a first preset threshold, and calculate the proportion of the number of occurrences to the total number of groups as the confidence of the corresponding Bluetooth ID; a data marking unit, configured to mark the corresponding Bluetooth ID as a confirmed Bluetooth ID corresponding to the license plate number when the appearance ratio of one of the Bluetooth IDs exceeds a second preset threshold; The data storage unit is used to store the corresponding relationship between the license plate number and the confirmed Bluetooth ID, and also store the confidence level of each Bluetooth ID.

8. The vehicle identification system according to claim 7, characterized in that: It also includes a data adjustment module, which is used to lower the confidence of the corresponding Bluetooth ID and add the Bluetooth ID to the candidate failure set when the number of times that the confirmed Bluetooth ID is not continuously included in the associated Bluetooth ID set exceeds a third preset threshold.

9. A vehicle identification device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the vehicle identification method according to any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, characterized in that: When the computer program is executed by a processor, the steps of the vehicle identification method according to any one of claims 1 to 4 are implemented.

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