CN117523859A - Road side vehicle parking monitoring method, system, computer system and storage medium - Google Patents
Road side vehicle parking monitoring method, system, computer system and storage medium Download PDFInfo
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- CN117523859A CN117523859A CN202410021386.8A CN202410021386A CN117523859A CN 117523859 A CN117523859 A CN 117523859A CN 202410021386 A CN202410021386 A CN 202410021386A CN 117523859 A CN117523859 A CN 117523859A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 50
- 230000006698 induction Effects 0.000 claims abstract description 112
- 238000001514 detection method Methods 0.000 claims abstract description 102
- 238000007689 inspection Methods 0.000 claims abstract description 66
- 238000004590 computer program Methods 0.000 claims description 16
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/02—Detecting movement of traffic to be counted or controlled using treadles built into the road
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/147—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is within an open public zone, e.g. city centre
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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Abstract
The invention discloses a road side vehicle parking monitoring method which is applied to a road side vehicle parking monitoring system, wherein the system comprises high-level video detection equipment, ground sensing equipment, automatic inspection equipment and a cloud server, and the method comprises the following steps: the ground induction equipment acquires target entrance induction information of a target vehicle with target berth information and sends the information to the cloud server; the automatic inspection equipment or the high-order video detection equipment acquires vehicle identification information; the ground induction equipment acquires target departure induction information, and the cloud server determines a parking order and a payment state of a target vehicle after receiving the target departure induction information; if the payment state of the parking order is not payment state, the cloud server acquires the departure image information through the high-level video detection equipment and generates first alarm information. The method can timely and effectively monitor the target vehicle parked at the road side, effectively maintain the regularity of parking at the road side, and ensure the real-time acquisition and effective monitoring of the parking condition at the road side.
Description
Technical Field
The invention relates to the technical field of intelligent vehicle monitoring, in particular to a road side vehicle parking monitoring method, a system, a computer system and a storage medium.
Background
In urban parking, a road side parking system that performs parking at the side of a road is also a main parking system, except for an in-parking system that performs parking in a parking lot. The vehicle owner can park the vehicle in the parking berth defined by the road side, and can conveniently and rapidly park and fetch the vehicle. In this way, the parking space defined by the road side can be divided into free parking space and toll parking space. The free or charge of the parking space is determined by comprehensively considering the factors such as the parking position, the road section condition and the like. In existing drive-test toll parking berths, there are some problems of difficulty in monitoring for a parked vehicle. Firstly, the vehicles parked at the road side cannot be reliably identified and tracked, if collision, illegal parking and other phenomena occur, the information of the corresponding responsible vehicles cannot be rapidly obtained; secondly, the charge management of the vehicle after parking at the charge berth is difficult, the situation that the vehicle owner leaves after paying the charge is easy to appear, and the current parking situation and the parking time cannot be obtained in real time.
Disclosure of Invention
The embodiment of the invention provides a road side vehicle parking monitoring and storing method, a system, a computer system and a storage medium, aiming at solving the problem of difficulty in road side parking monitoring in the prior art.
In a first aspect, an embodiment of the present invention provides a method for monitoring parking of a road side vehicle, which is applied to a system for monitoring parking of a road side vehicle, where the system includes a high-level video detection device, a ground sensing device, an automatic inspection device, and a cloud server, and the method includes:
when target ground induction equipment in a plurality of ground induction equipment detects that a target vehicle enters the ground, the target ground induction equipment sends target entrance induction information carrying target berth information to the cloud server, wherein the target berth information is berth information of a target berth corresponding to the target ground induction equipment;
the high-order video inspection equipment or the automatic inspection equipment acquires vehicle identification information of the target vehicle and sends the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information;
when the target ground induction equipment detects that the target vehicle leaves a field, the target ground induction equipment sends target leaving induction information carrying the target berth information to the cloud server;
The cloud server determines a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquires a payment state of the parking order;
and if the payment state of the parking order is a non-payment state, the cloud server acquires the departure image information of the target vehicle through the high-level video detection equipment and generates first alarm information.
In a second aspect, an embodiment of the present invention provides a road side vehicle parking monitoring system, including a high-level video detection device, a ground induction device, an automatic inspection device, and a cloud server;
the ground induction equipment is used for sending target entrance induction information carrying target berth information to the cloud server when the entrance of a target vehicle is detected, wherein the target berth information is berth information of a target berth corresponding to the target ground induction equipment; the cloud server is also used for sending target departure sensing information carrying the target berth information to the cloud server when the departure of the target vehicle is detected;
the cloud server is used for determining a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquiring a payment state of the parking order; the system is also used for acquiring the departure image information of the target vehicle through the high-level video detection equipment when the payment state of the parking order is not payment state, and generating first alarm information;
The automatic inspection equipment is used for acquiring vehicle identification information of the target vehicle and sending the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information;
the high-order video detection device is used for acquiring vehicle identification information of the target vehicle and sending the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information; and the system is also used for acquiring the departure image information of the target vehicle when the payment state of the parking order is not payment state.
In a third aspect, an embodiment of the present invention provides a computer system, including at least four computer devices, where each computer device includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processors in the at least four computer devices collectively implement the road side vehicle parking monitoring method according to the first aspect when executing the corresponding computer program.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the road side vehicle parking monitoring method according to the first aspect.
In the road side vehicle parking monitoring method provided by the embodiment of the invention, the high-order video detection equipment, the ground sensing equipment, the automatic inspection equipment and the cloud server which are in communication connection are arranged. Firstly, real-time monitoring of time of entering or leaving a berth of a vehicle is carried out through ground induction equipment to obtain entrance induction information and exit induction information of the vehicle, and then berth information and berth orders are comprehensively determined through a cloud server according to the entrance induction information and the exit induction information, so that reliable charging management of berthing of the vehicle at a roadside toll berth is realized; meanwhile, through the high-order video detection equipment and the automatic inspection equipment, the vehicle identification information of the vehicle can be acquired in an omnibearing manner from different angles, license plate information, vehicle color information and vehicle type information contained in the vehicle identification information can be sent to the cloud server, and the cloud server can bind berth information, vehicle identification information and berthing orders, so that accurate identification and order binding of each target vehicle are realized, and effective monitoring and management of the target vehicle are realized; in the third aspect, the cloud server can further determine whether the target vehicle leaves the scene after paying the parking order, acquire the departure image information of the target vehicle through the high-level video detection equipment when the target vehicle leaves without paying the fee, and generate the first alarm information, so that timely evidence collection and subsequent pursuit of the target vehicle without paying the fee can be realized. Therefore, the road side vehicle parking method provided by the embodiment of the invention can effectively monitor the target vehicle parked on the road side in time, effectively maintain the regularity of road side parking, and ensure the real-time acquisition and effective monitoring of the road side parking condition.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of a road side vehicle parking monitoring method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a road side vehicle parking monitoring method provided by an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a first sub-process in a road side vehicle parking monitoring method provided by an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a second sub-process in a road side vehicle parking monitoring method provided by an embodiment of the present invention;
FIG. 5 is a schematic block diagram of a roadside vehicle parking monitoring device provided by an embodiment of the present invention;
FIG. 6 is a schematic block diagram of a computer device in a computer system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "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 is also to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic view of an application scenario of a road side vehicle parking monitoring method according to an embodiment of the present invention, and fig. 2 is a schematic flowchart of the road side vehicle parking monitoring method according to an embodiment of the present invention. The road side vehicle parking monitoring method is applied to a road side vehicle parking monitoring system. The road side vehicle parking monitoring system comprises high-level video detection equipment, ground sensing equipment, automatic inspection equipment and a cloud server. The high-order video detection device can be an image pickup device with image and video shooting capability, and meanwhile, the acquired video and images can be transmitted to the cloud server in real time for image recognition and analysis. The high-level video detection device is generally arranged at a position with a certain height with the ground, can comprehensively acquire images of various berths of a monitoring area, and can directly acquire image information of a target vehicle to acquire vehicle identification information of the target vehicle. The ground sensing device can be a sensing device capable of sensing approaching or separating of the vehicle such as geomagnetic sensing and radar sensing, and is independently arranged on the ground corresponding to each berth, when the target vehicle approaches or separates from the sensing device, the current approach or separation of the target vehicle can be known based on a preset sensing algorithm in the ground sensing device, and then the approach sensing information or separation sensing information of the target vehicle is determined. The automatic patrol apparatus may be a patrol vehicle or a handheld patrol apparatus held by a patrol operator, which may acquire image information of a target vehicle at the same height as the target vehicle, and may move between individual berths to acquire image information of the target vehicle in a specific berth to acquire vehicle identification information of the target vehicle. The cloud server can be respectively in communication connection with the high-order video detection equipment, the ground induction equipment and the automatic inspection equipment, and further, the cloud server can acquire the entrance induction information and the departure induction information of the ground induction equipment in real time and determine the target berth information of the target vehicle; the vehicle identification information from the high-order video detection equipment or the automatic inspection equipment can be obtained in real time to determine license plate information, vehicle color information and vehicle type information of the target vehicle, and the target berth information of the target vehicle and the vehicle identification information are bound. And finally, determining a parking order corresponding to the target vehicle according to the entrance induction information, the departure induction information and the vehicle identification information, and determining the state of the parking order. In addition, the high-order video detection device can acquire the departure image information of the target vehicle so as to track the target vehicle when the target vehicle does not pay for the parking order.
It should be noted that, in fig. 1, only one cloud server, one high-level video detection device, one ground induction device and one automatic inspection device are illustrated, and in the actual operation process, the high-level video detection device, the ground induction device, the automatic inspection device and the cloud server can all perform different numbers of settings according to the needs, and especially, independent ground induction devices can be respectively set at each berth.
Fig. 2 is a schematic flow chart of a road side vehicle parking monitoring method provided by an embodiment of the present invention. As shown, the method includes the following steps S110-S150.
And S110, when target ground induction equipment in the ground induction equipment detects that a target vehicle enters the ground, the target ground induction equipment sends target entrance induction information carrying target berth information to the cloud server, wherein the target berth information is berth information of a target berth corresponding to the target ground induction equipment.
For a single road side parking berth, the ground sensing equipment arranged on the ground can sense the target entrance sensing information of the target vehicle when the target vehicle enters the berth. Specifically, the target entrance induction information includes the entrance time of the target vehicle entering the target berth and stopping stably, and also includes the position information or the number information of the target ground induction equipment. Further, after the target entrance induction information is transmitted to the cloud server, the cloud server can learn the entrance time of the target vehicle and the target ground induction device generating the target entrance induction information according to the target entrance induction information, and determine target berth information of the target vehicle, wherein the target berth information indicates a target berth where the target vehicle enters.
After the cloud server acquires the target entrance induction information sent by the target ground induction equipment, the target ground induction equipment corresponding to the target entrance induction information can be confirmed, the position of the target ground induction equipment and the corresponding target berth can be determined, and the position of the target berth corresponding to the target ground induction equipment can be used as the target berth information of the target vehicle.
S120, the high-order video inspection equipment or the automatic inspection equipment acquires the vehicle identification information of the target vehicle and sends the vehicle identification information to the cloud server; the vehicle identification information includes license plate information, vehicle color information, and vehicle type information.
The automatic inspection equipment and the high-order video detection equipment can acquire image information of the target vehicle, and license plate information, vehicle color information and vehicle type information of the target vehicle contained in the image information of the target vehicle are acquired by utilizing an image recognition algorithm preset in the automatic inspection equipment and the high-order video detection equipment. The license plate information can be used for determining a unique identification of the target vehicle, the vehicle color information can be combined with the vehicle type information to identify and track the target vehicle, and the vehicle type information can also be used for charging different vehicles according to different types of vehicles, namely, different parking orders are generated according to different types of vehicle type information of the target vehicle.
In one embodiment, referring to fig. 3, step S120 may specifically include the following steps:
s121, the cloud server sends a first identification instruction carrying the target berth information to the high-order video detection equipment;
s122, the high-order video detection equipment responds to the first identification instruction and determines a target shooting angle according to the target berth information;
s123, the high-order video detection equipment acquires first vehicle image information according to the target shooting angle;
s124, the high-order video detection device judges whether the first vehicle image information comprises the vehicle identification information or not; if yes, go to step S125; if not, go to step S126;
s125, the high-order video detection equipment acquires the vehicle identification information from the first vehicle image information;
and S126, the automatic inspection equipment acquires the vehicle identification information.
In the present embodiment, the acquisition of the vehicle identification information of the target vehicle may be performed by using the high-order video detection apparatus alone. Specifically, after the cloud server obtains the target entrance induction information, a target berth corresponding to the target entrance induction information can be determined, and the target berth is the berth where the target vehicle is parked. After the target berth is determined, the target berth can be determined as target berth information of the target vehicle. Then, the cloud server can send a first identification instruction containing the target berth information of the target vehicle to the high-order video detection equipment. The image acquisition area of the high-level video detection device comprises all berths and naturally also comprises target berths, and meanwhile, the high-level video detection device is also provided with berth identification areas corresponding to all berths respectively, so that when a target vehicle appears in a certain berth identification area, the high-level video detection device can determine the target berth where the target vehicle is parked according to the berth identification area where the target vehicle appears, and the determination of the target berth is not needed to be carried out by means of ground sensing equipment. It can be understood that the high-order video detection device and the ground sensing device can also jointly confirm the target berth where the target vehicle is parked, and further more accurate target berth information is generated in the cloud server.
When the high-order video detection device is independently used for acquiring the vehicle identification information of the target vehicle, the image information of each berth can be acquired in real time, the position of the berth can be determined according to the identification area of the berth, the shooting angle can be adjusted to align to the berth identification area corresponding to a certain berth, and then the shooting angle of the high-order video detection device can be adjusted according to the target berth information so as to align the high-order video detection device to the target identification area of the target berth to form a target shooting angle. Subsequently, the high-order video detection device may acquire first vehicle image information of the target vehicle in the target recognition area corresponding to the target berth. Then, license plate information, vehicle color information and vehicle type information of the vehicle can be respectively obtained from the first vehicle image information based on a preset license plate recognition algorithm, a vehicle color recognition algorithm and a vehicle type recognition algorithm, and the license plate information, the vehicle color information and the vehicle type information are combined to form vehicle recognition information of the target vehicle. If the captured first vehicle image information does not include vehicle identification information, for example, due to the influence of environmental factors such as weather, sundries, etc., there may be an identification area to be determined, which is blocked and cannot be obtained as a complete image, in the first vehicle image information obtained by the high-level video detection device. The identification area to be determined may include one or more berths to be determined, and images of the berths to be determined cannot be acquired by the high-level video detection module. The high-order video detection device cannot acquire vehicle identification information of the target vehicle in the berth to be determined, which corresponds to the identification area to be determined. Therefore, when it is confirmed that the target berth is the berth to be determined, the first vehicle image information does not include the vehicle identification information of the target vehicle, and at this time, the vehicle identification information can be acquired in an assisted manner by the automatic patrol apparatus.
In one embodiment, referring to fig. 4, the step S125 may specifically include the following steps S1251-S1252:
s1251, the high-order video detection device acquires target berth image information according to the target shooting angle, wherein the target berth image information comprises image information of a plurality of berths;
s1252, the high-order video detection device determines the first vehicle image information corresponding to the target berth information from the target berth image information.
In this embodiment, the high-order video detection apparatus may acquire target berth image information having therein an overall image including a plurality of berths including the target berth, based on the target shooting angle. Because the image acquired by the high-order video detection device comprises a relatively large range, the whole image of a plurality of berths including the target berths can be acquired at the same time. The high-order video detection module may determine a target identification area of the current target berth from a plurality of identification areas in the target berth image information. Specifically, the high-order video detection module stores the berth numbers corresponding to the ground sensing modules and the numbers of the identification areas corresponding to the berth numbers in advance, so that the corresponding identification areas can be determined directly through the berth numbers corresponding to the target berth information. Therefore, only the image information of the target recognition area in the target berth image information is required to be acquired, and the first vehicle image information is also acquired. Meanwhile, the image information of a plurality of berths in the target berth image information can be acquired simultaneously, and the vehicle image information in each berth can be acquired.
In an embodiment, the high-level video detection device comprises a long-focus detection sub-device and a short-focus detection sub-device; at this time, step S1251 may specifically include the steps of:
the high-level video detection device acquires first berth image information of each first berth with a shooting distance larger than a preset distance threshold value through the long-focus detection sub-device, wherein the shooting distance is the distance between the high-level video detection device and the first berth;
the high-level video detection equipment acquires second berth image information of each second berth with the shooting distance smaller than the preset distance threshold value through the short-focus detection sub-equipment;
the high-order video detection device determines the target berth image information according to the first berth image information and the second berth image information.
In this embodiment, since the roadside parking berths are generally a plurality of parking berths arranged in parallel, when a single high-level video detection device acquires images of a plurality of parking berths, there may be a case where image acquisition is unclear for a parking berth with a longer distance. Therefore, the tele detection sub-device can be utilized to acquire the first berth image information respectively corresponding to each first berth with a farther shooting distance in the high-order video detection device, wherein the farther shooting distance is a distance value larger than a preset distance threshold in the high-order video detection device. Correspondingly, the short-focus detection sub-equipment can be utilized to obtain second berth images respectively corresponding to second berths with closer shooting distances to the high-order video detection equipment, wherein the closer shooting distances are distance values smaller than a preset distance threshold value in the high-order video detection equipment. The respective first berth image information and the respective second berth image information may then be image stitched to generate target berth image information. In the target berth image information acquired by the method, the berths with a longer distance can also have higher definition.
In an embodiment, the step S126 may specifically include the following steps:
the high-order video detection equipment sends vehicle identification failure information carrying the target berth information to the cloud server;
the cloud server responds to the vehicle identification failure information and sends a second identification instruction carrying the target berth information to the automatic inspection equipment;
the automatic inspection equipment responds to the second identification instruction, and moves to a shooting position corresponding to the target berth according to the target berth information to acquire second vehicle image information of the target berth;
the automatic inspection device acquires the vehicle identification information from the second vehicle image information.
In this embodiment, when the high-order video detection device cannot acquire the vehicle identification information in the first vehicle image information, the high-order video detection device may send vehicle identification failure information, which includes the target berth information, to the cloud server. After receiving the failure information of vehicle identification, the cloud server sends a second identification instruction carrying the target berth information to the automatic inspection equipment, wherein the second identification instruction indicates the position of the target berth and also indicates the positions of unidentified berths to be determined corresponding to other unidentified identification areas to be determined. After the automatic inspection equipment receives the second identification instruction, the automatic inspection equipment can move to each berth to be determined and the target berth according to the positions of each berth to be determined and the target berth, and preferentially reach the target berth to acquire second vehicle image information in the target berth. Specifically, the automatic inspection module stores position information corresponding to each berth, and after the automatic inspection module receives the second identification instruction, the automatic inspection module can automatically match target berth information in the second identification instruction with the pre-stored position information so as to determine the position to be reached. Correspondingly, the automatic inspection module also stores the corresponding shooting positions of the berths, and the shooting positions can shoot the complete image of the target vehicle in the corresponding berths and can shoot the license plate of the target image. The automatic inspection module can firstly reach the shooting position of the target berth and acquire the second vehicle image information of the target berth, then sequentially reach the shooting positions of the berths to be determined and acquire the image information of the berths to be determined. Then, for the second vehicle image information, license plate information, vehicle color information and vehicle type information of the vehicle can be respectively obtained from the third vehicle image information based on a preset license plate recognition algorithm, vehicle color recognition algorithm and vehicle type recognition algorithm, and the license plate information, the vehicle color information and the vehicle type information are combined to form vehicle recognition information of the target vehicle. For the image information of the berths to be determined, when the image information contains vehicle image information, namely, when the berths to be determined park vehicles but do not acquire vehicle identification information or generate entrance induction information, the vehicle identification information to be determined corresponding to the berths to be determined can be automatically generated and uploaded to the cloud server.
If the automatic inspection device is an inspection vehicle, the inspection vehicle can automatically move to the target berth according to the position information of the target berth contained in the target berth information, and the image acquisition device of the inspection vehicle aims at the target berth. After the target berth is aligned, the automatic inspection equipment can confirm whether the second vehicle image information acquired in real time comprises the complete image information of the target berth or not, and can confirm whether the image information of the target berth comprises the complete vehicle identification information or not. Specifically, license plate information, vehicle color information and vehicle type information of the vehicle can be obtained according to a preset license plate recognition algorithm, a vehicle color recognition algorithm and a vehicle type recognition algorithm, and the license plate information, the vehicle color information and the vehicle type information are combined to form vehicle recognition information of the target vehicle. If the automatic patrol equipment is handheld patrol equipment which is held by a patrol operator, the handheld patrol equipment can be utilized to display the position information of the target berth so as to prompt the patrol operator to go to the target berth. The automatic inspection device may acquire a plurality of target image information for the target berth and the target vehicle from a plurality of angles, combine the image information of the target vehicle in each target image information into second vehicle image information, and then confirm the vehicle identification information contained in the second vehicle image information.
Specifically, since the ground sensing device in the blocked berths to be determined may be interfered and cannot sense the vehicle normally, the automatic inspection device may further sequentially acquire images of each berth to be determined, identify whether there is a berth where the target entrance sensing information is not generated but the target vehicle is parked, and send the unrecognized berths and the vehicle identification information of the target vehicle to the cloud server, so as to avoid the condition that the target vehicle is not identified. It can be understood that the high-level video detection device may also perform the above operation, specifically, if the high-level video detection device obtains an identification area where a target vehicle is parked in a certain berth, but the berth does not generate target entry induction information, it may also generate target berth information of the target vehicle according to the identification area of the berth, and then send the target berth information of the target vehicle and the vehicle identification information to the cloud server, so as to prevent the situation that the target vehicle is not identified by the ground induction device.
It can be understood that the high-order video detection device and the automatic inspection device can be replaced and selected according to actual conditions, so that when one device cannot work normally, the other device can confirm the vehicle identification information, the two devices can be directly combined, the vehicle identification information can be acquired from different angles, and then the vehicle identification information acquired by the two devices is comprehensively compared, so that the most accurate vehicle identification information can be confirmed. In some embodiments, the high-level video detection device may further acquire an idle identification area where no target vehicle exists, and send an idle berth corresponding to the idle identification area to the automatic inspection device, so that the automatic inspection device may move to the idle berth in advance, so as to prepare for acquiring vehicle identification information of a newly arrived target vehicle.
In an embodiment, the following steps may be further included after step S120:
the cloud server acquires pre-payment information corresponding to the vehicle identification information and a preset parking area corresponding to the pre-payment information;
if the parking position corresponding to the parking position information is located in the preset parking area, the cloud server charges the target vehicle according to the pre-payment information based on a preset charging strategy;
if the berthing position corresponding to the berthing information is located outside the preset berthing area, the cloud server sends a first prompt instruction to the automatic inspection equipment;
the automatic inspection equipment responds to the first prompt instruction, prints a payment reminding list and places the payment reminding list on the target vehicle.
In this embodiment, the pre-payment information may include an amount of the advanced payment performed by the vehicle owner for the target vehicle and a preset parking area where the payment-free parking can be performed after the advanced payment. The preset parking area comprises one or more preset berths at preset locations. After the cloud server acquires the target departure sensing information of the target vehicle, whether the target vehicle is parked in a preset parking place corresponding to the preset parking area can be judged. If the target vehicle is parked in the preset berth, a parking order of the target vehicle can be generated and directly deducted from the prestored amount corresponding to the prepayment information based on a preset charging strategy, so that automatic payment of the order is realized. The charging policy is to determine the parking amount according to the mapping relationship between the parking amount and the time difference between the entrance time corresponding to the target entrance induction information and the departure time corresponding to the target departure induction information, so as to charge. If the target vehicle is not parked in the preset berth, the cloud server can generate a first prompt instruction and send the first prompt instruction to the automatic inspection equipment after acquiring the vehicle identification information. The automatic inspection equipment can pay a fee reminding list according to the first prompting instruction and convey the fee reminding list to a target vehicle so as to prompt the vehicle owner not to park in a preset parking area without additional fee payment. In addition, the cloud server can also directly send prompt information to an intelligent terminal of a vehicle owner of the target vehicle, such as a mobile phone, according to the vehicle identification information so as to prompt the vehicle owner not to park in a preset parking area without additional payment.
And S130, when the target ground induction equipment detects that the target vehicle leaves the ground, the target ground induction equipment sends target leaving induction information carrying the target berth information to the cloud server.
When the target ground sensing device senses that the target vehicle leaves the corresponding berth, target departure sensing information can be generated and sent to the cloud server, and the target departure sensing information comprises departure time of the vehicle.
And S140, the cloud server determines a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquires a payment state of the parking order.
Specifically, the generating of the parking order may specifically include the steps of: the cloud server determines first charging information according to a time difference between target entrance induction information and target departure induction information based on a preset charging policy, wherein the first charging information is used for determining the charge to be paid of the target vehicle according to the parking time of the target vehicle. Then, the cloud server determines second charging information corresponding to the target vehicle according to the vehicle identification information and the first charging information based on a preset charging policy, wherein the second charging information is used for determining the charge to be paid of the target vehicle according to the vehicle type information of the target vehicle. Then, the cloud server determines a parking order of the target vehicle according to the first charging information and the second charging information. Finally, the cloud server acquires payment records for the parking orders, and determines payment states of the parking orders according to the payment records. Specifically, the preset charging policy is to determine the fee to be charged according to the mapping relationship between the time difference between the entrance time corresponding to the target entrance induction information and the departure time corresponding to the target departure induction information and the fee to be charged, and the mapping relationship between the vehicle type information and the fee to be charged. The first charging information can be determined according to the time difference between the target entrance induction information and the target departure induction information, and the first charging information represents the corresponding charge payment of the parking time of the vehicle. And then, calculating the corresponding proportion of the first charging information according to the vehicle type information, for example, the new energy vehicle can calculate the first charging information in a smaller proportion (for example, less than 100%) to generate discount fees, and the large vehicle can calculate the first charging information in a larger proportion (for example, more than 100%) to generate additional fees so as to determine different payable fees according to different vehicle types. Then, a parking order of the target vehicle may be determined according to the first billing information and the second billing information, the parking order including a base fee corresponding to the first billing information and a charge or discount fee corresponding to the second billing information.
And S150, if the payment state of the parking order is a non-payment state, the cloud server acquires the departure image information of the target vehicle through the high-level video detection equipment and generates first alarm information.
The cloud server can acquire whether the parking order finishes the payment state of payment, and if the payment information aiming at the parking order is acquired, the cloud server can determine that the target vehicle finishes the payment of the corresponding parking order. If payment information for the parking order is not obtained within a preset time period after the vehicle leaves, the high-order video detection device captures the leave image information of the target vehicle again to determine vehicle identification information of the target vehicle and actual leave time so as to reserve image evidence of the leaving of the target vehicle without payment.
In one embodiment, the step S150 may specifically include the following steps:
the cloud server inquires whether a contact way corresponding to the license plate information exists from a preset registry;
and if the contact information exists, the cloud server sends payment reminding information to the user terminal corresponding to the contact information.
In this embodiment, license plate information for parking by using the road side vehicle parking monitoring system and a contact way of a corresponding vehicle owner are stored in a preset registry. If the contact information of the vehicle owner who does not pay is stored in the registry, the cloud server can directly send payment reminding information to the user terminal corresponding to the contact information so as to prompt the vehicle owner to pay.
Therefore, the following effects can be achieved by the road side vehicle parking monitoring method provided by the embodiment of the invention: firstly, real-time monitoring of time of entering or leaving a berth of a vehicle is carried out through ground induction equipment to obtain target entrance induction information and target exit induction information of the vehicle, and then target berth information and berthing orders are comprehensively determined through a cloud server according to the target entrance induction information and the target exit induction information, so that reliable charging management of vehicle berthing of a roadside toll berth is realized; meanwhile, through the high-order video detection equipment and the automatic inspection equipment, the vehicle identification information of the vehicle can be acquired in an omnibearing manner from different angles, license plate information, vehicle color information and vehicle type information contained in the vehicle identification information can be sent to the cloud server, and the cloud server can bind target berth information, vehicle identification information and berthing orders, so that accurate identification and order binding of each target vehicle are realized, and effective monitoring and management of the target vehicle are realized; in the third aspect, the cloud server can further determine whether the target vehicle leaves the scene after paying the parking order, acquire the departure image information of the target vehicle through the high-level video detection equipment when the target vehicle leaves without paying the fee, and generate the first alarm information, so that timely evidence collection and subsequent pursuit of the target vehicle without paying the fee can be realized. Therefore, the road side vehicle parking method provided by the embodiment of the invention can effectively monitor the target vehicle parked at the road side in time, effectively maintain the good order of road side parking, and ensure the real-time acquisition and effective monitoring of the road side parking condition.
Referring to fig. 5, fig. 5 is a schematic block diagram of a roadside vehicle parking monitoring system 50 according to an embodiment of the present invention. As shown in fig. 5, the present invention also provides a roadside vehicle parking monitoring system 50 corresponding to the above roadside vehicle parking monitoring method. The system includes means for performing the above-described roadside vehicle parking monitoring method. Specifically, referring to fig. 5, the road side vehicle parking monitoring device 50 includes a ground sensing device 51, a cloud server 52, an automatic inspection device 53, and a high-level video detection device 54.
The ground induction device 51 is configured to send target entrance induction information carrying target berth information to a cloud server when a target vehicle enters a ground, where the target berth information is berth information of a target berth corresponding to the target ground induction device; and the cloud server is also used for sending target departure sensing information carrying the target berth information to the cloud server when the departure of the target vehicle is detected.
The cloud server 52 is configured to determine a parking order of the target vehicle according to the target berth information, the target entrance sensing information, the target departure sensing information, and the vehicle identification information, and obtain a payment status of the parking order; and the system is also used for acquiring the departure image information of the target vehicle through the high-level video detection equipment when the payment state of the parking order is not payment state, and generating first alarm information.
An automatic inspection device 53, configured to acquire vehicle identification information of the target vehicle, and send the vehicle identification information to the cloud server; the vehicle identification information includes license plate information, vehicle color information, and vehicle type information.
A high-level video detection device 54 for acquiring vehicle identification information of the target vehicle and transmitting the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information; and the system is also used for acquiring the departure image information of the target vehicle when the payment state of the parking order is not payment state.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the above road side vehicle parking monitoring system and each device may refer to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, the description is omitted here.
The above-described roadside vehicle parking monitoring system may be implemented in the form of a computer program that is executable on a computer system as shown in fig. 6.
Referring to fig. 6, fig. 6 is a schematic block diagram of a single computer device 600 in a computer system according to an embodiment of the present application. The computer device can be a terminal or a server, wherein the terminal can be an electronic device such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, a wearable device and the like. The server may be an independent server or a server cluster formed by a plurality of servers.
Referring to fig. 6, the computer device 600 includes a processor 602 and a memory and network interface 605 connected by a system bus, wherein the memory may include a non-volatile storage medium 603 and an internal memory 604.
The non-volatile storage medium 603 may store an operating system and computer programs. The computer program comprises program instructions that, when executed, cause the processor to perform a roadside vehicle parking monitoring method.
The processor 602 is used to provide computing and control capabilities to support the operation of the overall computer device 600.
The internal memory 604 provides an environment for the execution of a computer program 6032 in the non-volatile storage medium 603, which when executed by the processor 602, causes the processor 602 to perform a roadside vehicle parking monitoring method.
The network interface 605 is used for network communication with other devices. Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device 600 to which the present application is applied, and that a particular computer device 600 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein said processors 602 in at least four computer devices 600 are together adapted to run a computer program 6032 stored in a memory for performing the steps of:
when target ground induction equipment in a plurality of ground induction equipment detects that a target vehicle enters the ground, the target ground induction equipment sends target entrance induction information carrying target berth information to the cloud server, wherein the target berth information is berth information of a target berth corresponding to the target ground induction equipment;
the high-order video inspection equipment or the automatic inspection equipment acquires vehicle identification information of the target vehicle and sends the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information;
when the target ground induction equipment detects that the target vehicle leaves a field, the target ground induction equipment sends target leaving induction information carrying the target berth information to the cloud server;
the cloud server determines a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquires a payment state of the parking order;
And if the payment state of the parking order is a non-payment state, the cloud server acquires the departure image information of the target vehicle through the high-level video detection equipment and generates first alarm information.
It should be appreciated that in embodiments of the present application, the processor may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions, when executed by the processor, cause the processor to perform the steps of:
when target ground induction equipment in a plurality of ground induction equipment detects that a target vehicle enters the ground, the target ground induction equipment sends target entrance induction information carrying target berth information to the cloud server, wherein the target berth information is berth information of a target berth corresponding to the target ground induction equipment;
the high-order video inspection equipment or the automatic inspection equipment acquires vehicle identification information of the target vehicle and sends the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information;
when the target ground induction equipment detects that the target vehicle leaves a field, the target ground induction equipment sends target leaving induction information carrying the target berth information to the cloud server;
the cloud server determines a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquires a payment state of the parking order;
And if the payment state of the parking order is a non-payment state, the cloud server acquires the departure image information of the target vehicle through the high-level video detection equipment and generates first alarm information.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the 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 several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The road side vehicle parking monitoring method is applied to a road side vehicle parking monitoring system and is characterized by comprising at least one high-level video detection device, at least one automatic inspection device, ground induction devices corresponding to berths and a cloud server; the method comprises the following steps:
when target ground induction equipment in a plurality of ground induction equipment detects that a target vehicle enters the ground, the target ground induction equipment sends target entrance induction information carrying target berth information to the cloud server, wherein the target berth information is berth information of a target berth corresponding to the target ground induction equipment;
the high-order video inspection equipment or the automatic inspection equipment acquires vehicle identification information of the target vehicle and sends the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information;
when the target ground induction equipment detects that the target vehicle leaves a field, the target ground induction equipment sends target leaving induction information carrying the target berth information to the cloud server;
The cloud server determines a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquires a payment state of the parking order;
and if the payment state of the parking order is a non-payment state, the cloud server acquires the departure image information of the target vehicle through the high-level video detection equipment and generates first alarm information.
2. The roadside vehicle parking monitoring method according to claim 1, wherein after the vehicle identification information of the target vehicle is acquired by the high-level video inspection device or the automatic inspection device and the vehicle identification information is transmitted to the cloud server, further comprising:
the cloud server acquires pre-payment information corresponding to the vehicle identification information and a preset parking area corresponding to the pre-payment information;
if the parking position corresponding to the parking position information is located in the preset parking area, the cloud server charges the target vehicle according to the pre-payment information based on a preset charging strategy;
if the berthing position corresponding to the berthing information is located outside the preset berthing area, the cloud server sends a first prompt instruction to the automatic inspection equipment;
The automatic inspection equipment responds to the first prompt instruction, prints a payment reminding list and places the payment reminding list on the target vehicle.
3. The roadside vehicle parking monitoring method according to claim 1, wherein the high-level video inspection device or the automatic inspection device acquires vehicle identification information of the target vehicle, comprising:
the cloud server sends a first identification instruction carrying the target berth information to the high-order video detection equipment;
the high-order video detection equipment responds to the first identification instruction and determines a target shooting angle according to the target berth information;
the high-level video detection equipment acquires first vehicle image information according to the target shooting angle;
the high-order video detection device judges whether the first vehicle image information comprises the vehicle identification information or not;
if the first vehicle image information comprises the vehicle identification information, the high-order video detection equipment acquires the vehicle identification information from the first vehicle image information;
and if the first vehicle image information does not comprise the vehicle identification information, the automatic inspection equipment acquires the vehicle identification information.
4. A roadside vehicle parking monitoring method according to claim 3, wherein the automatic patrol apparatus acquires the vehicle identification information, comprising:
the high-order video detection equipment sends vehicle identification failure information carrying the target berth information to the cloud server;
the cloud server responds to the vehicle identification failure information and sends a second identification instruction carrying the target berth information to the automatic inspection equipment;
the automatic inspection equipment responds to the second identification instruction, and moves to a shooting position corresponding to the target berth according to the target berth information to acquire second vehicle image information of the target berth;
the automatic inspection device acquires the vehicle identification information from the second vehicle image information.
5. The roadside vehicle parking monitoring method according to claim 3, wherein the high-level video detecting apparatus acquires first vehicle image information from the target shooting angle, comprising:
the high-level video detection equipment acquires target berth image information according to the target shooting angle, wherein the target berth image information comprises image information of a plurality of berths;
The high-order video detection device determines the first vehicle image information corresponding to the target berth information from the target berth image information.
6. The roadside vehicle parking monitoring method of claim 5 wherein the high-level video detection device comprises a tele detection sub-device and a short-focus detection sub-device; the high-order video detection device obtains target berth image information according to the target shooting angle, and the high-order video detection device comprises:
the high-level video detection device acquires first berth image information of each first berth with a shooting distance larger than a preset distance threshold value through the long-focus detection sub-device, wherein the shooting distance is the distance between the high-level video detection device and the first berth;
the high-level video detection equipment acquires second berth image information of each second berth with the shooting distance smaller than the preset distance threshold value through the short-focus detection sub-equipment;
the high-order video detection device determines the target berth image information according to the first berth image information and the second berth image information.
7. The roadside vehicle parking monitoring method according to claim 1, wherein after the cloud server acquires the departure image information of the target vehicle through the high-order video detection device and generates first warning information, the method further comprises:
The cloud server inquires whether a contact way corresponding to the license plate information exists from a preset registry;
and if the contact information exists, the cloud server sends payment reminding information to the user terminal corresponding to the contact information.
8. The road side vehicle parking monitoring system is characterized by comprising high-level video detection equipment, ground induction equipment, automatic inspection equipment and a cloud server;
the ground sensing equipment is used for sending target entrance sensing information carrying target berth information to the cloud server when the entrance of the target vehicle is detected, wherein the target berth information is berth information of a target berth corresponding to the target ground sensing equipment; the cloud server is also used for sending target departure sensing information carrying the target berth information to the cloud server when the departure of the target vehicle is detected;
the cloud server is used for determining a parking order of the target vehicle according to the target berth information, the target entrance induction information, the target departure induction information and the vehicle identification information, and acquiring a payment state of the parking order; the system is also used for acquiring the departure image information of the target vehicle through the high-level video detection equipment when the payment state of the parking order is not payment state, and generating first alarm information;
The automatic inspection equipment is used for acquiring vehicle identification information of the target vehicle and sending the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information;
the high-order video detection device is used for acquiring vehicle identification information of the target vehicle and sending the vehicle identification information to the cloud server; the vehicle identification information comprises license plate information, vehicle color information and vehicle type information; and the system is also used for acquiring the departure image information of the target vehicle when the payment state of the parking order is not payment state.
9. A computer system comprising at least four computer devices, each comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processors of the at least four computer devices together implementing the road side vehicle parking monitoring method of any one of claims 1-7 when executing the respective computer programs.
10. A computer readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the roadside vehicle parking monitoring method according to any one of claims 1 to 7.
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