CN115063746A - Vehicle warehousing management method and device, computer equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of Internet of things, and provides a vehicle warehousing management method, a vehicle warehousing management device, computer equipment and a storage medium, wherein when a warehousing request aiming at a target vehicle is received, first image information is acquired, the first image information is associated with registration information of the target vehicle acquired in advance to acquire associated data, and a target position is acquired through a pre-established distribution rule; acquiring second image information and induction information; and comparing the first image information with the second image information to obtain a comparison result, and updating the warehousing state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition. The invention automatically monitors whether the vehicle at the target position is the target vehicle, and can obtain the state of the target vehicle in time, thereby reducing the manual monitoring of the vehicle, avoiding the disordered parking phenomenon, reducing the difficulty of vehicle management and improving the vehicle management efficiency.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a vehicle warehousing management method and device, computer equipment and a storage medium.
Background
With the increase of automobile financing loans, the situation of loan collection is more and more, the vehicles of clients who cannot pay on time need to be detained, and with the increase of detained vehicles, the intelligent management of the vehicles is more and more important. At present, large-scale parking area, especially underground parking area then several hundreds of parking stalls are few, can reach thousands of parking stalls more, and have a plurality of access & exit, the internet of things that intelligent vehicle management system who releases in the existing market adopted mainly is to the RFID electronic tags of inside vehicle installation read and write, utilize car communication mouth port, access & exit intelligent control ware etc. to carry out intelligent control, but inside the parking area, the staff can't real time monitoring and management vehicle, also can not in time obtain the state of vehicle, lead to the management of vehicle more chaotic, thereby cause vehicle management efficiency to be lower.
Disclosure of Invention
In view of the above, it is necessary to provide a vehicle warehousing management method, device, computer device and storage medium to solve the problem of low vehicle management efficiency.
In a first aspect, a vehicle garage management method is provided,
when a warehousing request for a target vehicle is received, starting a warehousing camera in a target parking lot to acquire an image of the target vehicle to obtain first image information, associating the first image information with registration information of the target vehicle obtained in advance to obtain associated data, and uploading the associated data to a vehicle management database;
distributing a corresponding target parking area to the target vehicle according to the associated data and a pre-established distribution rule, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position;
determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information;
and comparing the first image information with the second image information to obtain a comparison result, and updating the state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition.
In a second aspect, there is provided a vehicle-garage management apparatus,
the system comprises a correlation data module, a vehicle management database and a vehicle management database, wherein the correlation data module is used for starting a storage camera in a target parking lot to acquire an image of a target vehicle when receiving a storage request aiming at the target vehicle, correlating the first image information with registration information of the target vehicle obtained in advance to obtain correlation data and uploading the correlation data to the vehicle management database;
the distribution module is used for distributing a corresponding target parking area to the target vehicle according to a pre-established distribution rule, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position;
the acquisition module is used for determining a corresponding target camera and a corresponding target inductor according to the target position, starting the target camera and the target inductor and acquiring second image information and induction information;
and the updating module is used for comparing the first image information with the second image information to obtain a comparison result, and updating the warehousing state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition.
In a third aspect, an embodiment of the present invention provides a computer device, where the computer device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, and the processor implements the vehicle warehousing management method according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the vehicle-warehousing management method according to the first aspect.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a vehicle warehousing management method, which comprises the steps of starting a target parking lot warehousing camera to carry out image acquisition on a target vehicle when a warehousing request aiming at the target vehicle is received, obtaining first image information, associating the first image information with registration information of the target vehicle obtained in advance, obtaining associated data and uploading the associated data to a vehicle management database; according to the associated data and a pre-established allocation rule, allocating a corresponding target parking area to the target vehicle, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position; determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information; and comparing the first image information with the second image information to obtain a comparison result, and updating the warehousing state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition. According to the invention, the corresponding parking areas are distributed to the target vehicles through the associated data of the target vehicles, so that the target vehicles can quickly find the target positions, and the target cameras and the target sensors at the target positions are simultaneously started, so that whether the vehicles at the target positions are the target vehicles or not is automatically monitored, the states of the target vehicles can be timely obtained, the manual monitoring of the vehicles is reduced, the disordered parking phenomenon is avoided, the difficulty in vehicle management is reduced, and the vehicle management efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a schematic diagram of an application environment of a vehicle warehousing management method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a vehicle warehousing management method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a vehicle warehousing management method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vehicle warehousing management device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present invention and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present invention. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
It should be understood that, the sequence numbers of the steps in the following embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
An embodiment of the present invention provides a vehicle warehousing management method, which can be applied to an application environment shown in fig. 1, where a client communicates with a server. The client includes, but is not limited to, a palm top computer, a desktop computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), and other computer devices. The server can be implemented by an independent server or a server cluster composed of a plurality of servers.
Referring to fig. 2, which is a schematic flow chart of a vehicle warehousing management method according to an embodiment of the present invention, the vehicle warehousing management method may be applied to the server in fig. 1, where the server is connected to a corresponding client to provide a vehicle warehousing management service for the client. As shown in fig. 2, the vehicle warehousing management method may include the steps of:
s201: when a warehousing request for a target vehicle is received, a warehousing camera in a target parking lot is started to carry out image acquisition on the target vehicle to obtain first image information, the first image information is associated with registration information of the target vehicle obtained in advance to obtain associated data, and the associated data is uploaded to a vehicle management database.
When the target vehicle needs to be put in storage in step S201, the target vehicle is analyzed, a target parking lot corresponding to the target vehicle is determined, and a storage request is sent to the target parking lot, when the target parking lot receives a warehousing request sent by a target vehicle, starting a corresponding warehousing camera to acquire first image information of the target vehicle, wherein the first image information comprises color information, license plate information, frame information and the like of the target vehicle, the registered information of the target vehicle is information such as vehicle brand, vehicle model, frame number and the like, the first image information is associated with the registered information to obtain associated information such as vehicle brand, vehicle model, frame number and the like corresponding to the target vehicle, and uploading the associated data to a vehicle management database for management, wherein the vehicle management database is used for storing the associated data of all vehicles put in storage in the target parking lot.
In this embodiment, the vehicle under check is managed in storage, the target vehicle is a vehicle under check to be stored in storage, and the target vehicle needs to be registered before being stored in storage to obtain the vehicle brand, vehicle model, license plate number, frame number, engine number, and the like of the target vehicle, and if the vehicle is a vehicle under check in another place, a grade departure place, a vehicle-buckling place, a check-up deadline, a vehicle-buckling source, and the like are required.
When a target vehicle type target parking lot sends a warehousing request, a warehousing camera collects first image information of a target vehicle, when the first image information of the target vehicle is collected, 27 images of the target vehicle in three dimensions are shot, the collected first image information is associated with registered information to obtain associated data of the target vehicle, and the associated data is uploaded to a vehicle management database.
When the warehousing camera collects the first image information of the target vehicle, the server controls the input of the warehousing camera to operate, and controls the warehousing camera to perform zooming and focusing and the like. The control of the warehousing camera is an important function in a vehicle management system and needs to be realized by means of serial port programming. The server end sends out corresponding control instructions through the serial port, and the decoder analyzes the instructions to obtain the addresses of the operation objects and the operation actions are switched on and off corresponding lines through the relay, so that the corresponding motors are operated or stopped to achieve the purpose of control.
In this embodiment, the warehousing camera adopts a CMOS camera OV7670, and OV7670 is a CMOS image sensor manufactured by Omni Vision corporation in the united states, has the characteristics of small volume and low working voltage, and has all functions of a single VGA camera and an image processor. The VGA image of the product is up to 30 frames/second. The user can control the product in terms of image quality, data format and transmission mode. When the camera control bus is operated, image data with different resolutions can be output; and programming the camera control bus interface can complete the image processing functions of gamma curve, white balance, chroma, etc.
S202: and distributing a corresponding target parking area to the target vehicle according to the associated data and a pre-established distribution rule, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position.
In step S202, after the first image is acquired by the warehousing camera, the target vehicle is released to drive the target vehicle into the target parking lot, a target parking area is allocated to the target vehicle according to a pre-established allocation rule, positions of unoccupied parking spaces are obtained in the target area, and one of the positions of the unoccupied parking spaces is selected as a target position of the target vehicle.
In this embodiment, the vehicle under parking is managed, the target parking lot is divided into different areas according to the associated data of the vehicle to be parked, and different distribution rules are set for each area, for example, the target parking lot is divided into different areas according to the model information of the vehicle under parking, and each area parks the vehicle under parking of a corresponding model, or the vehicle under parking is divided into different areas according to the source of the vehicle, and each area parks the vehicle under parking of a corresponding source, such as a vehicle under parking, an illegal vehicle, and the like, and a plurality of conditions are set for each area as the distribution rules. The allocation rules established for different parking lots may be case-specific. And when the target vehicle conforms to the distribution rule of a certain area, the area is a target parking area corresponding to the target vehicle.
It should be noted that, when the division of the target parking lot into areas is performed, one of the areas is selected as a temporary parking area from among the different areas to receive unregistered vehicles, or as a spare parking area to receive remaining vehicles in each area.
And after the target vehicle is distributed to the target area, detecting the remaining unoccupied parking spaces in the target area, randomly selecting one of the remaining unoccupied parking spaces as a target position for parking when the number of the unoccupied parking spaces is greater than 0, and distributing the target vehicle in a temporary parking area when the number of the unoccupied parking spaces is equal to 0.
Optionally, allocating a corresponding target parking area to the target vehicle according to the associated data and a pre-established allocation rule, including:
dividing a target parking lot into different parking areas, and setting corresponding parking conditions for each parking area;
and matching the associated data with the parking conditions corresponding to each parking area, and determining the parking area corresponding to the parking condition met by the associated data as a target parking area.
In this embodiment, when the area is divided according to the map of the target parking lot, different areas may be divided according to the connection lines of the fixed points in the parking spaces in the target parking lot, and a plurality of parking space vertexes are converted into a search of a small number of key vertexes according to the map of the parking lot, where the key points are the parking space vertexes necessary for planning the path in the target parking lot. And dividing the target parking lot into different areas according to the key vertexes. A corresponding parking condition is set for each zone, wherein the parking condition may be a type of vehicle, a model of vehicle, a source of vehicle, etc.
Matching the associated data of the target vehicle with the parking conditions in each area of the target parking lot, acquiring keywords associated with the parking conditions in each area of the target parking lot from the associated data by a keyword matching method when the associated data is matched with the parking conditions in each area of the target parking lot, matching the keywords with the parking conditions in each area by a natural language algorithm, obtaining the target parking area according to the matching result,
it should be noted that when the associated data is matched with the parking conditions corresponding to each parking area by keywords, matching is performed by the keyword matching model, firstly, the keyword matching model is trained, and when the keyword matching model is trained, a word sample pair is obtained, wherein the word sample pair comprises a first word sample and a second word sample, and carries a sample pair tag, and the sample pair tag is used for identifying whether the first word sample and the second word sample are the same, that is, whether the two word samples are words corresponding to the same keyword, and the sample pair tag is 1, which indicates that the two word samples are the same; the exemplar pair label is 0, indicating that the two word exemplars are different. Then, a first sample vector of the first word sample and a second sample vector of the second word sample are obtained through a full connection layer of the keyword matching model; calculating a loss value of the keyword matching model according to the similarity between the first sample vector and the second sample vector and the sample pair label; and then, training the keyword model according to the loss value of the keyword matching model until a training stopping condition is reached, and obtaining the trained keyword matching model. The model may be a convolutional neural network, and the keyword matching model may include an input layer, a plurality of convolutional layers, a plurality of pooling layers, and a fully-connected layer. A sample pair-based loss function is introduced, and the sample pair-based loss function enables the keyword matching model to have the capability of accurately extracting word information.
S203: and determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information.
In step S203, after the target vehicle enters the target parking lot, a target camera and a target sensor in the target parking lot are activated according to the allocated target position, the target camera is used for shooting the target, the target sensor is used for outputting a corresponding signal, wherein the target sensor is a sensor capable of outputting a signal, such as a pressure sensor or an infrared sensor, and the target camera and the target sensor are activated to collect second image information and sensing information about the target vehicle. The second image information corresponds to the first image information and also comprises information of a shooting object, license plate information, frame information and the like.
In this embodiment, the cameras in the target parking lot are numbered, and the position information of each camera is acquired in the map of the target parking lot, and the map information in the target parking lot can use a high-resolution map positioning system to know the longitude and latitude, the position information, and the like of the current position. The map application interface provided by the high-level map for developers can obtain the interface by calling the application program interface when the program is written, the relevant functions of the high-level map are called in the system, basic position information is provided for each camera, and the functions provided by the high-level map are applied to the system, so that a large amount of development work can be reduced.
The method comprises the steps of establishing a camera database, wherein the camera database comprises information such as model information, position information and shooting range of a camera, acquiring a target camera corresponding to a target position from the established camera database according to the target position of a target vehicle in a target parking lot, starting the target camera, and acquiring second image information of the target vehicle.
The sensor is arranged in the target parking lot, can be a sensor which can output signals at will, and can be remotely controlled through wireless network transmission when receiving corresponding sensing information. And the corresponding inductor is used as a terminal node for generating an induction signal, and the position information of the terminal node is obtained through a high map. And starting the target sensor according to the target position of the target vehicle in the target parking lot.
The sensor in the embodiment is an ultrasonic sensor HC-SR04, the HC-SR04 ultrasonic sensor of the terminal node acquires parking space information of a target position and uploads the parking space information to the router node through a ZigBee wireless network, and the router node is used as a relay station of the information and is responsible for receiving, summarizing, storing and forwarding the information, and the packaged parking space information is transmitted to the coordinator node. The coordinator establishes a remote connection with a server waiting for connection through a GPRS (General packet radio service) network using a TCP/IP (Transmission Control Protocol/Internet Protocol) Protocol. Because the propagation of the ultrasonic wave has good directivity, and the energy of the ultrasonic wave is slowly weakened in the process of the propagation of the ultrasonic wave, the ultrasonic wave is more and more applied to the detection of the parking space use condition. The parking space use condition of ultrasonic detection is mainly to determine whether a vehicle is in a parking space or not based on a time difference formed by transmitting and receiving ultrasonic waves, an ultrasonic detector placed in front of or above the parking space transmits and receives the ultrasonic waves, and the detector calculates the time difference after receiving the reflected ultrasonic waves to determine whether the vehicle is in the parking space or not.
Optionally, according to the target position, determining a corresponding target camera and a target sensor, starting the target camera and the target sensor, and acquiring second image information and sensing information, including:
when the target camera is started, a real-time sequence image is obtained through the target camera;
obtaining second image information from the sequence image according to the difference between adjacent images in the sequence image and a preset difference threshold value;
and when receiving continuous signals transmitted by the target sensor, acquiring the sensing information.
In this embodiment, after the target camera is turned on, the target camera may obtain a real-time sequence image, and since the target vehicle may not reach the target position in time after entering the target parking lot, the target camera may obtain some invalid images before acquiring the second image information, extract the invalid images from the sequence image, and obtain the corresponding second image information.
And judging whether to start to acquire second image information according to the difference between adjacent images in the obtained series of images, and when the difference between the series of images is smaller than a preset difference threshold value, considering that the vehicle at the target position stops, and starting to acquire corresponding second image information. The difference between the adjacent images is judged, the difference can be judged according to the size of the optical flow between the adjacent images, when the vehicle at the target position stops, the optical flow value between the adjacent images obtained through the target camera is small, an optical flow threshold value can be set, and when the optical flow value between the continuous adjacent images is smaller than the corresponding optical flow threshold value, the second image information starts to be collected.
It should be noted that, the difference between adjacent images can be determined, or the difference can be determined by the difference of pixel grayscale images, the pixel value difference of the corresponding grid position in the adjacent images is calculated according to the grayscale value between the adjacent images, the corresponding pixel threshold is set, and when the pixel value between consecutive adjacent images is smaller than the pixel threshold, the second image information starts to be collected.
In the target sensor, when the sensing signal output by the target sensor is received and is a continuous signal, corresponding sensing information is acquired, after the target sensor sends the sensing signal, when the vehicle is met, the signal is returned, the target sensor receives the returned signal, when the sent signal is received, the vehicle information is detected, the target sensor outputs the corresponding signal to a far end, and when a stable signal is output, the sensing information is acquired.
S204: and comparing the first image information with the second image information to obtain a comparison result, and updating the state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition.
In step S204, comparing the images in the first image information and the second image information by using an image recognition technology, and when the comparison result meets a first preset condition and the sensing information meets a second preset condition, regarding the vehicle at the target position as the target vehicle, when the target vehicle stops at the target position, updating the warehousing state of the target vehicle, marking the target position as the existing vehicle information, and updating the warehousing state of the target vehicle corresponding to the associated data of the vehicle management database.
In this embodiment, the first image information and the second image information are compared, when the comparison result meets a first preset condition, it is determined whether the sensing information meets a second preset condition, when the second preset condition is met, the state of the associated data is updated in the vehicle management database, when the state of the associated data is updated, different states can be represented according to different identifiers, when the identifier is 0, the target vehicle is represented that the storage of the target vehicle is not completed, and when the identifier is 1, the target vehicle is represented that the storage of the target vehicle is completed.
Optionally, comparing the first image information with the second image information to obtain a comparison result, and updating the warehousing state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the sensing information meets a second preset condition, including:
respectively extracting first license plate information in the first image information and second license plate information in the second image information, and comparing the first license plate information with the second license plate information to obtain a first comparison difference value;
when the first comparison difference value is smaller than a first threshold value, comparing RGB information in the first image information and the second image information to obtain a second comparison difference value;
when the second comparison difference value is smaller than a second threshold value, comparing the difference value of the area ratio of the connected region in the first image information and the second image information to obtain a third comparison difference value;
and when the third comparison difference value is smaller than a third threshold value and the induction information meets a second preset condition, updating the warehousing state of the associated data in the vehicle management database.
In this embodiment, when the second image information is acquired, it is determined whether the vehicle at the target position is the target vehicle, and the first image information and the second image information in the vehicle management database are compared. And determining whether the comparison result meets a first preset condition. The first preset condition in this embodiment includes a first threshold, a second threshold, and a third threshold.
Firstly, comparing license plate information in first image information and second image information, positioning license plates in the first image information and the second image information, positioning the license plates by using color attributes of the license plates, analyzing the positioning of the blue license plates in an LAB color space by using the blue license plates as objects, wherein a channel B in the LAB color space represents the change from blue to yellow, so that the images are mapped to the LAB mode from an RGB mode, and the range of the license plates is searched by using the characteristics of the channel B. After the position of the license plate is obtained, extracting an interested area, processing the interested area, extracting characters in the interested area, finally identifying the characters, obtaining first license plate information and second license plate information in decibels, and comparing the first license plate information with the second license plate information to obtain a first comparison result.
When the first comparison result is smaller than the set first threshold, comparing the RGB information in the first image information and the second image information, respectively comparing the color information in the three channels of RGB, when the comparison is performed, comparing the corresponding grid pixel value in each channel to obtain a second comparison result, and determining whether the second comparison result is smaller than the set second threshold. Or normalizing the GB value in each grid to obtain three normalized data in each grid, adding the three normalized data to obtain sum data of each grid data, comparing the difference between the sum values of each grid data to obtain a second comparison result, and determining whether the second comparison result is less than a set second threshold.
When the second comparison result is smaller than the second threshold value, whether the sizes of the vehicle outlines in the first image information and the second image information are the same or not is further compared, whether the sizes of the vehicle outlines are the same or not is judged according to the area ratio of the communicated areas in the first image information and the second image information, the areas of the communicated areas in the first image information and the second image information are extracted in decibels, the difference value of the area ratio of the communicated areas is calculated, and a third comparison result is obtained.
And when the third comparison result is smaller than a third threshold value, judging the induction information, setting a second preset condition, and determining whether the induction information meets the second preset condition. The second preset condition is a fourth threshold interval, and when the signal intensity of the sensing information is within the threshold interval, the sensing information is considered to meet the second preset condition.
And updating the target vehicle state of the associated data in the vehicle management database to finish warehousing.
Optionally, after the vehicle is put into storage, the method further includes:
and starting a timer, timing the target vehicle, and sending early warning information when the difference between the warehousing time of the target vehicle and the preset parking time is greater than a fifth threshold value.
In this embodiment, the target vehicle is monitored in real time, after the target vehicle enters the garage at the target position, the target camera and the target sensor continue to acquire second image information and sensing information to obtain real-time information of the target vehicle, the timer is started, the target vehicle is timed to obtain the garage entering time of the target vehicle in the target parking lot, the fifth threshold is set, and when the difference between the garage entering time of the target vehicle and the preset parking time is greater than the fifth threshold, the corresponding terminal sends early warning information.
It should be noted that, after the warning information is sent, if the warning information is not released, a time period threshold is set, and the warning information is sent every other time period threshold.
The invention provides a vehicle warehousing management method, which comprises the steps of starting a warehousing camera of a target parking lot to carry out image acquisition on a target vehicle when a warehousing request aiming at the target vehicle is received, obtaining first image information, associating the first image information with registration information of the target vehicle obtained in advance, obtaining associated data and uploading the associated data to a vehicle management database; distributing a corresponding target parking area to the target vehicle according to the associated data and a pre-established distribution rule, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position; determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information; and comparing the first image information with the second image information to obtain a comparison result, and updating the warehousing state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition. According to the invention, the corresponding parking area is distributed to the target vehicle through the associated data of the target vehicle, so that the target vehicle can quickly find the target position, and the target camera and the target sensor at the target position are simultaneously started, so that whether the vehicle at the target position is the target vehicle or not is automatically monitored, the state of the target vehicle can be timely obtained, the manual monitoring of the vehicle is reduced, the parking confusion phenomenon is avoided, the difficulty in vehicle management is reduced, and the vehicle management efficiency is improved.
Referring to fig. 3, which is a schematic flow chart of a vehicle warehousing management method according to an embodiment of the present invention, as shown in the drawing, the vehicle warehousing management method may include the following steps:
s301: when a warehousing request for a target vehicle is received, a warehousing camera in a target parking lot is started to carry out image acquisition on the target vehicle to obtain first image information, the first image information is associated with registration information of the target vehicle obtained in advance to obtain associated data, and the associated data is uploaded to a vehicle management database.
The content of the step S301 is the same as that of the step S201, and reference may be made to the description of the step S201, which is not repeated herein.
S302: extracting the position information of the target vehicle and the source information of the target vehicle in the warehousing request;
s303: determining a target parking lot from a parking lot database constructed in advance based on the position information of the target vehicle and the source information of the target vehicle;
s304: when the target parking lot detects a target vehicle, determining the warehousing position of the target parking lot corresponding to the target vehicle;
s305: and determining a corresponding warehousing camera according to the warehousing position.
In this embodiment, when a target vehicle needs to be managed in a warehouse, a warehouse manager uploads source information and position information of the target vehicle, and a vehicle management database allocates a target parking lot to the target vehicle according to the position information and the source information of the target vehicle, wherein the position information of the target vehicle may obtain real-time position information of the target vehicle and the source information of the target vehicle, including a pledge vehicle, a non-income vehicle, an illegal vehicle, and the like, through a positioning system.
And selecting the parking lot which is the most matched and closest to the target vehicle from the pre-established parking lot database to obtain the target parking lot.
When a target vehicle reaches a target parking lot area, according to a pressure sensor arranged in the target parking lot, when the vehicle passes by the pressure sensor, the pressure sensor generates a corresponding signal, the target parking lot detects the target vehicle to be warehoused, and after the target parking lot detects the target vehicle, a warehousing camera in a corresponding position is started.
S306: according to the associated data and a pre-established allocation rule, allocating a corresponding target parking area to the target vehicle, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position;
s307: determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information;
s308: and comparing the first image information with the second image information to obtain a comparison result, and updating the state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition.
The contents of the steps S306 to S308 are the same as the contents of the steps S202 to S204, and reference may be made to the description of the steps S202 to S204, which is not repeated herein.
According to the invention, the corresponding target parking lot is automatically distributed to the target vehicle to be warehoused, so that the most applicable target parking lot is provided for the target vehicle, the order of vehicle management is improved, manual operation is reduced, and the efficiency of vehicle management is improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a vehicle warehousing management device according to an embodiment of the present invention. In this embodiment, each unit included in the mobile terminal is configured to execute each step in the embodiments corresponding to fig. 2 to fig. 3. Please refer to fig. 2 to 3 and fig. 2 to 3 for the corresponding embodiments. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 4, the vehicle-garage management apparatus 40 includes: an association data module 41, an allocation module 42, a sending module 43, and an update module 44, wherein:
the associated data module 41 is configured to, when receiving a warehousing request for a target vehicle, start a warehousing camera in a target parking lot to perform image acquisition on the target vehicle to obtain first image information, associate the first image information with registration information of the target vehicle obtained in advance to obtain associated data, and upload the associated data to a vehicle management database;
the allocation module 42 is configured to allocate a corresponding target parking area to the target vehicle according to a pre-established allocation rule, acquire positions of all unoccupied parking spaces in the target parking area, and determine a position of any unoccupied parking space as a target position;
the acquisition module 43 is configured to determine a corresponding target camera and a corresponding target sensor according to the target position, start the target camera and the target sensor, and acquire second image information and sensing information;
and the updating module 44 is configured to compare the first image information with the second image information to obtain a comparison result, and update the state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the sensing information meets a second preset condition.
Optionally, the association data module 41 includes:
the system comprises a setting unit, a storage unit and a control unit, wherein the setting unit is used for dividing a target parking lot into different parking areas and setting corresponding names for each parking area;
and the matching unit is used for performing keyword matching on the associated data and the name corresponding to each parking area and determining the parking area corresponding to the parking condition met by the associated data as the target parking area.
Optionally, the collecting module 43 includes:
the starting unit is used for obtaining a real-time sequence image through the target camera when the target camera is started;
the second image information obtaining unit is used for obtaining second image information from the sequence image according to the difference between the adjacent images in the sequence image and a preset difference threshold value;
and the acquired induction information unit is used for acquiring induction information when receiving the continuous signals transmitted by the target inductor.
Optionally, the update module 44 includes:
the first comparison difference value unit is used for respectively extracting first license plate information in the first image information and second license plate information in the second image information, and comparing the first license plate information with the second license plate information to obtain a first comparison difference value;
the second comparison difference value unit is used for comparing the RGB information in the first image information and the second image information when the first comparison difference value is smaller than the first threshold value to obtain a second comparison difference value;
a third comparison difference value unit, configured to compare a difference value of the area ratio of the connected region in the first image information and the second image information when the second comparison difference value is smaller than the second threshold, to obtain a third comparison difference value;
and the second preset condition unit is used for updating the warehousing state of the associated data in the vehicle management database when the third comparison difference value is smaller than a third threshold value and the induction information meets a second preset condition.
Optionally, the vehicle warehousing management device 40 further includes:
the extraction module is used for extracting the position information of the target vehicle and the source information of the target vehicle in the warehousing request;
and the determining module is used for determining the target parking lot from the pre-constructed parking lot database based on the position information of the target vehicle and the source information of the target vehicle.
The system comprises a storage position determining module, a storage position determining module and a storage position determining module, wherein the storage position determining module is used for determining a storage position of a target parking lot corresponding to a target vehicle when the target parking lot detects the target vehicle;
and determining the warehousing camera module, and determining the corresponding warehousing camera according to the warehousing position.
It should be noted that, because the contents of information interaction, execution process, and the like between the above units are based on the same concept as the method embodiment of the present invention, specific functions and technical effects thereof may be specifically referred to a part of the method embodiment, and details thereof are not described herein.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention. As shown in fig. 5, the computer apparatus of this embodiment includes: at least one processor (only one shown in fig. 5), a memory, and a computer program stored in the memory and executable on the at least one processor, the processor, when executing the computer program, implementing the steps in any of the various vehicle-garage management method embodiments described above.
The computer device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that fig. 5 is merely an example of a computer device and is not intended to be limiting, and that a computer device may include more or fewer components than those shown, or some components may be combined, or different components may be included, such as a network interface, a display screen, and input devices, etc.
The Processor may be a CPU, or other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory includes readable storage media, internal memory, etc., wherein the internal memory may be the internal memory of the computer device, and the internal memory provides an environment for the operating system and the execution of the computer-readable instructions in the readable storage media. The readable storage medium may be a hard disk of the computer device, and in other embodiments may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the computer device. Further, the memory may also include both internal and external storage units of the computer device. The memory is used for storing an operating system, application programs, a BootLoader (BootLoader), data, and other programs, such as program codes of a computer program, and the like. The memory may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working processes of the units and modules in the above-mentioned apparatus may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method of the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above method embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code, recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, and software distribution media. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
The present invention can also be implemented by a computer program product, which when executed on a computer device causes the computer device to implement all or part of the processes in the method of the above embodiments.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the above-described apparatus/computer device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A vehicle warehousing management method is characterized by comprising the following steps:
when a warehousing request for a target vehicle is received, starting a warehousing camera in a target parking lot to acquire an image of the target vehicle to obtain first image information, associating the first image information with registration information of the target vehicle obtained in advance to obtain associated data, and uploading the associated data to a vehicle management database;
distributing a corresponding target parking area to the target vehicle according to the associated data and a pre-established distribution rule, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position;
determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information;
and comparing the first image information with the second image information to obtain a comparison result, and updating the state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition.
2. The method of claim 1, wherein before the starting the target parking garage entry camera to capture the image of the target vehicle, the method further comprises:
extracting the position information of the target vehicle and the source information of the target vehicle in the warehousing request;
and determining a target parking lot from a pre-constructed parking lot database based on the position information of the target vehicle and the source information of the target vehicle.
3. The method of claim 1, wherein before the starting the target parking garage entry camera to capture the image of the target vehicle, the method further comprises:
when the target parking lot detects the target vehicle, determining a warehousing position of the target parking lot corresponding to the target vehicle;
and determining a corresponding warehousing camera according to the warehousing position.
4. The method of claim 1, wherein said assigning a corresponding target parking area to the target vehicle based on the associated data and pre-established assignment rules comprises:
dividing the target parking lot into different parking areas, and setting corresponding parking conditions for each parking area;
and matching the associated data with the parking conditions corresponding to each parking area, and determining the parking area corresponding to the parking condition met by the associated data as the target parking area.
5. The method of claim 1, wherein the determining a corresponding target camera and a target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information comprises:
when the target camera is started, obtaining a real-time sequence image through the target camera;
obtaining second image information from the sequence image according to the difference between adjacent images in the sequence image and a preset difference threshold value;
and acquiring induction information when receiving the continuous signals output by the target inductor.
6. The method according to claim 1, wherein the comparing the first image information with the second image information to obtain a comparison result, and when the comparison result satisfies a first preset condition and the sensing information satisfies a second preset condition, updating a warehousing status of the associated data in the vehicle management database includes:
respectively extracting first license plate information in the first image information and second license plate information in the second image information, and comparing the first license plate information with the second license plate information to obtain a first comparison difference value;
when the first comparison difference value is smaller than a first threshold value, comparing the RGB information in the first image information and the second image information to obtain a second comparison difference value;
when the second comparison difference value is smaller than a second threshold value, comparing the difference value of the areas of the communicated regions in the first image information and the second image information to obtain a third comparison difference value;
and when the third comparison difference value is smaller than a third threshold value and the induction information meets a second preset condition, updating the storage state of the associated data in the vehicle management database.
7. The method according to any one of claims 1 to 6, wherein the comparing the first image information with the second image information to obtain a comparison result, and when the comparison result satisfies a first preset condition and the sensing information satisfies a second preset condition, after the status of the associated data in the vehicle management database is updated to a warehousing status, the method further comprises:
and starting a timer, timing the target vehicle, and sending early warning information when the difference between the warehousing time of the target vehicle and the preset parking time is greater than a fifth threshold value.
8. A vehicle garage management apparatus, characterized by comprising:
the system comprises a correlation data module, a vehicle management database and a vehicle management database, wherein the correlation data module is used for starting a storage camera in a target parking lot to acquire an image of a target vehicle when receiving a storage request aiming at the target vehicle, correlating the first image information with registration information of the target vehicle obtained in advance to obtain correlation data and uploading the correlation data to the vehicle management database;
the distribution module is used for distributing a corresponding target parking area to the target vehicle according to a pre-established distribution rule, acquiring the positions of all unoccupied parking spaces in the target parking area, and determining the position of any unoccupied parking space as a target position;
the acquisition module is used for determining a corresponding target camera and a corresponding target sensor according to the target position, starting the target camera and the target sensor, and acquiring second image information and sensing information;
and the updating module is used for comparing the first image information with the second image information to obtain a comparison result, and updating the state of the associated data in the vehicle management database when the comparison result meets a first preset condition and the induction information meets a second preset condition.
9. A terminal device, characterized in that the terminal device comprises a processor, a memory and a computer program stored in the memory and operable on the processor, the processor implementing the vehicle-garage management method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the vehicle-garage management method according to any one of claims 1 to 7.
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