CN110610610A - Vehicle access management method and device and storage medium - Google Patents
Vehicle access management method and device and storage medium Download PDFInfo
- Publication number
- CN110610610A CN110610610A CN201910893245.4A CN201910893245A CN110610610A CN 110610610 A CN110610610 A CN 110610610A CN 201910893245 A CN201910893245 A CN 201910893245A CN 110610610 A CN110610610 A CN 110610610A
- Authority
- CN
- China
- Prior art keywords
- block
- target vehicle
- information
- access
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- 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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/06—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for block-wise or stream coding, e.g. DES systems or RC4; Hash functions; Pseudorandom sequence generators
- H04L9/0643—Hash functions, e.g. MD5, SHA, HMAC or f9 MAC
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Power Engineering (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the application discloses a vehicle access management method, a device and a storage medium, belonging to the technical field of information safety, wherein the method comprises the following steps: receiving target vehicle access information sent by camera equipment; the target vehicle access information comprises a first access state of the target vehicle, target vehicle information, a target place and first shooting time information; generating a first block according to the target vehicle access information, and adding the first block into a block chain; acquiring a second block containing target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle; and carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information. By the aid of the method and the device, reliability of recorded vehicle monitoring information can be improved, and accuracy of analyzed vehicle working conditions is improved.
Description
Technical Field
The present application relates to the field of information security technologies, and in particular, to a method and an apparatus for managing access of a fleet of vehicles, and a storage medium.
Background
With the increasing number of vehicles in life, the management of the vehicles becomes an unsolved problem. In the prior art, although the management of a working vehicle (such as a mud-head vehicle) is intelligentized and automated, and complex operations are not required to be performed manually, the recorded vehicle monitoring information is easy to be tampered, so that the reliability of the recorded vehicle monitoring information cannot be guaranteed, and the vehicle working condition analyzed based on the recorded vehicle monitoring information is not accurate enough.
Content of application
The embodiment of the application provides a vehicle access management method, a vehicle access management device and a storage medium, which can improve the reliability of recorded vehicle monitoring information and further improve the accuracy of the analyzed vehicle working condition.
An embodiment of the present application provides a vehicle access management method, including:
receiving target vehicle access information sent by camera equipment; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device;
generating a first block according to the target vehicle access information, and adding the first block into a block chain;
acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle;
and carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information.
Wherein the generating a first block according to the target vehicle access information and adding the first block to a block chain comprises:
generating the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information;
broadcasting the first block to all blockchain nodes on the blockchain;
adding the first block to the block chain upon determining that the all block link points on the block chain agree.
Wherein the generating the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information includes:
acquiring a block with the largest generation time stamp from the block chain as a target block;
performing hash calculation on the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information to obtain a hash value of the first block;
determining the hash value of the target block as a parent block hash value;
generating the first block to be added to the block chain based on the parent block hash value, the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information; the generation timestamp in the first block is used to update the maximum generation timestamp on the block chain.
Wherein the obtaining a second block containing the target vehicle information in the block chain comprises:
acquiring the first block from the block chain, and acquiring the first access state, the target vehicle information, the target location and the first shooting time information in the first block;
determining at least one candidate block from the block chain based on the target vehicle information; the at least one candidate block comprises the target vehicle information; the at least one candidate block does not include the first block;
and determining the block to be selected with the largest generation time stamp in the at least one block to be selected as the second block.
Wherein the detecting an abnormality of the operating state of the target vehicle according to the first access state, the second access state, the first photographing time information, and the second photographing time information includes:
acquiring the first access state and the first shooting time in the first block and the second access state and the second shooting time in the second block;
determining a time difference value between the first shooting time and the second shooting time;
if the first access state is an access state and the second access state is an access state, determining that the time difference is the actual working time of the target vehicle, and if the actual working time is greater than a first time threshold, determining that the working state of the target vehicle is an abnormal working state;
and if the first access state is an exit state and the second access state is an entry state, determining that the time difference is the actual rest duration of the target vehicle, and if the actual rest duration is greater than a second duration threshold, determining that the working state of the target vehicle is an abnormal rest state.
Wherein, still include:
obtaining the number of parked vehicles in the target location;
if the vehicle parking number is smaller than the parking space threshold value and the first access state is a field entering state, sending an entrance opening instruction to entrance management equipment at the target place, and updating the vehicle parking number in an increasing mode;
and if the first access state is a leaving field state, sending the entrance opening instruction to the entrance management equipment, and updating the vehicle parking number in a descending mode.
Wherein the first access state is determined by the camera apparatus based on a positional relationship between the subject vehicle and an entrance management apparatus of the subject site in a captured image; the target vehicle information is the license plate number of the target vehicle in the shot image; the captured image is an image including the target vehicle captured by the camera apparatus at the target location.
An aspect of an embodiment of the present application provides an apparatus for vehicle access management, including:
the receiving module is used for receiving the target vehicle access information sent by the camera equipment; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device;
the uplink module is used for generating a first block according to the target vehicle access information and adding the first block into a block chain;
the first acquisition module is used for acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle;
and the detection module is used for carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information.
Wherein, the uplink module includes:
a generation unit configured to generate the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location, and the first shooting time information;
a broadcasting unit, configured to broadcast the first block to all block chain nodes on the block chain;
an adding unit configured to add the first block to the block chain upon determining that the all block link points on the block chain agree.
Wherein, the generation unit includes:
an obtaining subunit, configured to obtain, from the block chain, a block with a largest generation timestamp as a target block;
the calculating subunit is used for performing hash calculation on the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information to obtain a hash value of the first block;
a determining subunit, configured to determine the hash value of the target block as a parent block hash value;
a generation child unit configured to generate the first block to be added to the block chain based on the parent block hash value, the first block hash value, a first access state of the target vehicle, target vehicle information, a target location, and first shooting time information; the generation timestamp in the first block is used to update the maximum generation timestamp on the block chain.
Wherein, the first obtaining module comprises:
a first obtaining unit, configured to obtain the first block from the block chain, and obtain the first access state, the target vehicle information, the target location, and the first shooting time information in the first block;
the first determination unit is used for determining at least one block to be selected from the block chain based on the target vehicle information; the at least one candidate block comprises the target vehicle information; the at least one candidate block does not include the first block;
the first determining unit is further configured to determine, as the second block, a block to be selected having a largest generation timestamp among the at least one block to be selected.
Wherein, the detection module includes:
a second acquisition unit configured to acquire the first access state and the first photographing time in the first block, and the second access state and the second photographing time in the second block;
a second determining unit for determining a time difference between the first photographing time and the second photographing time; if the first access state is an access state and the second access state is an access state, the time difference is used for representing the actual working time of the target vehicle;
the second determining unit is further configured to determine a time difference between the first shooting time and the second shooting time;
the second determining unit is further configured to determine that the time difference is an actual working duration of the target vehicle if the first access state is an access state and the second access state is an access state, and determine that the working state of the target vehicle is an abnormal working state if the actual working duration is greater than a first duration threshold;
and the second determining unit is used for determining that the time difference value is the actual rest duration of the target vehicle if the first access state is the leaving field state and the second access state is the entering field state, and determining that the working state of the target vehicle is the abnormal rest state if the actual rest duration is greater than a second duration threshold.
Wherein, still include:
the second acquisition module is used for acquiring the parking number of the vehicles in the target location;
a first updating module, configured to send an entrance opening instruction to an entrance management device at the target location if the number of parked vehicles is smaller than the parking space threshold and the first access state is an entrance state, and update the number of parked vehicles in an incremental manner;
and the second updating module is used for sending the entrance opening instruction to the entrance management equipment and updating the vehicle parking number in a descending mode if the first access state is a leaving field state.
An aspect of an embodiment of the present application provides a computer device, including: a processor and a memory;
the memory stores a computer program which, when executed by the processor, causes the processor to perform a method as in the embodiments of the present application.
An aspect of the embodiments of the present application provides a computer storage medium storing a computer program comprising program instructions that, when executed by a processor, perform a method as in the embodiments of the present application.
The method comprises the steps that target vehicle access information sent by camera equipment is received; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device; generating a first block according to the target vehicle access information, and adding the first block into a block chain; acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle; and carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information. According to the vehicle monitoring method and the vehicle monitoring system, the vehicle is shot through the camera equipment, vehicle access information such as license plate numbers and access states of the vehicle is identified based on the shot images, the vehicle access information generation block is added into the block chain, the vehicle access information cannot be changed, the reliability of recorded vehicle monitoring information can be improved, and the accuracy of the analyzed vehicle working condition is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system architecture diagram of vehicle access management provided by an embodiment of the present application;
fig. 2 is a schematic flow chart of a vehicle access management method according to an embodiment of the present application;
FIG. 3 is a schematic view of a scene for detecting a work vehicle according to an embodiment of the present application;
fig. 4a is a schematic view of a vehicle access management scenario provided in an embodiment of the present application;
fig. 4b is a schematic view of another vehicle access management scenario provided in the embodiments of the present application;
fig. 5a is a schematic diagram of a block chain structure according to an embodiment of the present application;
FIG. 5b is a block generation flow chart according to an embodiment of the present disclosure;
fig. 6 is a schematic flow chart of another block generation provided in the embodiment of the present application;
fig. 7 is a schematic structural diagram of a vehicle access management device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present application. Taking the vehicle 10a as an example, when the vehicle 10a wants to enter or leave a lot, the camera device may capture an image of the vehicle 10a, the camera device may identify a positional relationship between the vehicle 10a and the entrance management device based on the captured image to determine whether a first access state of the vehicle 10a is the entrance lot or the exit lot, the camera device may identify a license plate number of the vehicle 10a based on the captured image after determining the first access state of the vehicle 10a, the camera device transmits the license plate number, the first access state, a target place (i.e., the lot), and a first capturing time at which the camera device captures the vehicle to a block link node in the block link network, the block link node generates a first block using the license plate number, the first access state, the target place (i.e., the lot), and the first capturing time as block main body data, added to the blockchain, the blockchain node, in turn, triggers a command based on the smart contract, which may be an entry opening command, i.e., a command for instructing the entry management device to open the gate, and the blockchain node sends the command to the entry management device, which may control entry and exit of the vehicle 10a based on the command. Subsequently, the block chain node acquires a second block containing the license plate number of the vehicle 10a from the block chain, the second block further includes a second access state and second shooting time information of the vehicle 10a, and the block link point can perform anomaly detection on the working state of the vehicle 10a based on the first access state, the second access state, the first shooting time and the second shooting time, and send the detection result to the terminal device.
The terminal device and the block link point may include a mobile phone, a tablet computer, a notebook computer, a palm computer, a Mobile Internet Device (MID), and the like.
Optionally, in the case that the vehicle 10a enters the site, the block link points may also determine the number of parked vehicles in the site, so as to determine whether the vehicle 10a can enter the site. If the number of parked vehicles in the yard has reached the maximum number of parked vehicles, the vehicle 10a is not allowed to enter, in other words, the blockchain node does not send an instruction for instructing the entrance management device to open the gate to the entrance management device, and when there is another vehicle in the yard leaving the yard, the blockchain node can send an instruction for instructing the entrance management device to open the gate to the entrance management device, and the entrance management device controls the opening of the gate based on the instruction, so that the vehicle 10a enters the yard.
Please refer to fig. 2, which is a flowchart illustrating a vehicle access management method according to an embodiment of the present disclosure. As shown in fig. 3, the vehicle access management method may include:
step S101, receiving target vehicle access information sent by camera equipment; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle entrance and exit information is information generated by the camera device photographing the target vehicle at the target location.
Specifically, the first access state of the target vehicle is determined by the camera device based on the positional relationship between the target vehicle and the entrance management device of the target site in the captured image; the target vehicle information is the license plate number of the target vehicle in the shot image; the captured image is an image containing the subject vehicle captured by the camera device at the subject location. When a vehicle is about to enter or leave a target place (the target place can comprise a building, a sand ground, a parking lot and the like), after the vehicle reaches the vicinity of an entrance management device and is in an area which can be shot by a camera device, the camera device can shoot an image of the vehicle and determines that a first access state of the vehicle is leaving the target place or entering the target place based on the position relation between the vehicle and the entrance management device in the image, the camera device can identify a license plate number of the vehicle from the shot image, and the camera device sends the license plate number, the first access state, the target place and first shooting time to a block chain node.
Step S102, generating a first block according to the target vehicle access information, and adding the first block into a block chain.
Specifically, the block link point generates a first block to be added to the block chain according to a first access state of the target vehicle, target vehicle information, a target location and first shooting time information; broadcasting the first block to all blockchain nodes on a blockchain; the first block is added to the blockchain upon determining that all block link points on the blockchain agree.
It should be noted that, if the camera device determines that the first access state of the vehicle is entering the target location based on the position relationship between the vehicle and the entrance management device in the captured image, the block link node determines the number of parked vehicles in the target location after receiving the information sent by the camera device, determines whether the vehicle can enter the target location, and if the determination result is that the vehicle can enter, the block link node triggers an entrance opening instruction based on an intelligent contract and sends the entrance opening instruction to the entrance management device, and subsequently, the block link node generates a first block corresponding to the vehicle, and updates the parked number in the target location in an increasing manner; if the judgment result is that the vehicle cannot enter, the block link point cannot trigger an entrance opening instruction based on the intelligent contract and cannot generate a first block corresponding to the vehicle; if the camera device determines that the first access state of the vehicle is the leaving target location based on the position relation between the vehicle and the entrance management device in the image, the block link point block link node triggers an entrance opening instruction based on an intelligent contract and sends the entrance opening instruction to the entrance management device, generates a first block corresponding to the vehicle, and updates the number of parked vehicles in the target location in a descending mode.
Step S103, acquiring a second block containing the target vehicle information in the block chain; the second block further includes a second access state of the target vehicle and second photographing time information.
Specifically, a block chain node acquires a first block from a block chain, and acquires a first access state, target vehicle information, a target location and first shooting time information in the first block; the block link points determine at least one block to be selected from the block chain based on the target vehicle information; the at least one candidate block comprises the target vehicle information; the at least one block to be selected does not include the first block; and determining the candidate block with the largest generation time stamp in the at least one candidate block as a second block, namely, taking the candidate block with the time closest to the time on the first block as the second block, wherein the second block comprises a second access state and a second shooting time of the vehicle.
And step S104, performing abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information.
Specifically, the block link point acquires a first access state and first shooting time in a first block, and a second access state and second shooting time in a second block; determining a time difference value between the first shooting time and the second shooting time; if the first access state is an access state and the second access state is an access state, determining that the time difference is the actual working time of the target vehicle, and if the actual working time is greater than a first time threshold, determining that the working state of the target vehicle is an abnormal working state; and if the first access state is the leaving field state and the second access state is the entering field state, determining that the time difference is the actual rest duration of the target vehicle, and if the actual rest duration is greater than a second duration threshold, determining that the working state of the target vehicle is the abnormal rest state.
Further, please refer to fig. 3, which is a schematic view of a scene for detecting a working vehicle according to an embodiment of the present application. As shown in fig. 3, the blockchain node acquires a first block in which the license plate number, the first access state, the destination point, and the first photographing time of the vehicle are stored and a second block in which the license plate number, the second access state, the destination point, and the second photographing time of the vehicle are stored from the blockchain, and the license plate numbers in the first block and the second block are the license plate number of the same vehicle. The first block is a newly generated block, and the specific implementation manner of generating the first block can refer to step S102 in the embodiment corresponding to fig. 2, which is not described herein again; the second block is determined by the block link point based on the license plate number of the vehicle in the first block, and the specific implementation manner of determining the second block may refer to step S103 in the embodiment corresponding to fig. 2, which is not described herein again. And the block link point detects the abnormality of the working state of the vehicle based on the first access state, the second access state, the first shooting time information and the second shooting time information. If the first access state is an access state and the second access state is an access state, determining a time difference value between the first shooting time and the second shooting time as an actual working time of the vehicle, and if the actual working time is greater than a first time threshold, determining that the state of the vehicle is an abnormal working state; if the actual working time is less than or equal to the first time threshold, determining that the state of the vehicle is a normal working state; if the first access state is an exit state and the second access state is an entry state, determining that the time difference value between the first shooting time and the second shooting time is determined as the actual rest duration of the vehicle, and if the actual rest duration is greater than a second duration threshold, determining that the state of the vehicle is an abnormal rest state; and if the actual rest time length is less than or equal to the second time length threshold value, determining that the state of the vehicle is a normal rest state. After determining the detection result, the blockchain node can send the detection result to the terminal a and display the detection result on a display screen of the terminal a, and an administrator can see the detection result on the terminal a; the administrator can also input a request for inquiring the running track of any specific vehicle on the terminal A, after receiving the request, the block link points can acquire all blocks containing the license plate number based on the license plate number of the vehicle, the block link nodes construct the running track of the vehicle based on the shooting time and the target location in the blocks, and send the running track to the terminal A, and the administrator can see the running track on the display screen of the terminal A.
The terminal and the block link point may include a mobile phone, a tablet computer, a notebook computer, a palm computer, a Mobile Internet Device (MID), and the like.
Please refer to fig. 4a, which is a schematic view illustrating a vehicle access management scenario according to an embodiment of the present application. As shown in fig. 4a, the photographable area of the camera apparatus 20a is an area between points a and b; 20b is a target place for the vehicle to enter or leave, which may include a building, a sand yard, a parking lot, etc.; as shown in fig. 4a, the vehicle 100b travels from point c to point d, the vehicle 100b has completely entered the area that can be photographed by the camera apparatus 20a when reaching point d, the camera apparatus 20a photographs an image, the first access state of the vehicle 100b is determined as leaving the destination point 20b based on the positional relationship between the vehicle 100b and the entrance management apparatus 20c in the image, the camera apparatus 20a identifies the license plate number of the vehicle based on the image and transmits the license plate number, the first access state, the destination point, and the first photographing time to the block chain node, the block chain node generates a first block based on the license plate number, the first access state, the destination point, and the first photographing time, adds the first block to the block chain and triggers an entrance opening command based on a smart contract, transmits the entrance opening command to the entrance management apparatus 20c, the entrance management device 20c receives the entrance opening command and controls the opening of the brake, so that the vehicle 100b leaves the target location 20b, and the block link points update the number of vehicles already parked in the target location 20b in a decreasing manner, for example, the number of vehicles already parked in the target location 20b is 99, and after updating in a decreasing manner, the number of vehicles already parked in the target location 20b is recorded as 98. Subsequently, the block link point may acquire a second block of the vehicle 100b from the block chain, where the second block stores the license plate number, a second access state, a destination point, and a second shooting time of the vehicle 100 b; the block link point can detect an abnormality of the vehicle 100b based on the first entering/exiting state, the second entering/exiting state, the first imaging time, and the second imaging time. The specific implementation manner of the abnormality detection on the vehicle 100b may refer to the steps in the embodiment corresponding to fig. 3, and is not described herein again.
Further, please refer to fig. 4b, which is a schematic view of another vehicle access management scenario provided in the embodiment of the present application. As shown in fig. 4a, the photographable area of the camera apparatus 20a is an area between points a and b; the target site 20b is a target site where a vehicle enters or leaves, and may include a building, a sand ground, a parking lot, and the like; as shown in fig. 4b, the vehicle 100c travels from point f to point e, the vehicle 100c has completely entered the area that can be photographed by the camera device 20a when reaching point e, the camera device 20a photographs the image, the first access state of the vehicle 100c is determined as the access target point 20b based on the positional relationship between the vehicle 100c and the entrance management device 20c in the image, the camera device 20a identifies the number plate of the vehicle based on the image and transmits the number plate, the first access state, the target point and the first photographing time to the block link node, the block link node determines the number of parked vehicles in the target point 20b based on the target point 20b after entering the target point after receiving the first access state, and if the number of parked vehicles is less than the preset threshold value, the block link node is based on the number plate, the first access state, the second access state, and the second photographing time, The first access state, the target location and the first shooting time are used for generating a first block, the first block is added into a block chain, an entrance opening instruction is triggered based on an intelligent contract and sent to the entrance management device 20c, the entrance management device 20c controls opening after receiving the entrance opening instruction, so that the vehicle 100c enters the target location 20b, and the block chain node updates the number of parked vehicles in the target location 20b in an increasing mode, for example, the number of parked vehicles in the target location 20b is 99, and records the number of parked vehicles in the target location 20b as 100 after updating in the increasing mode. Subsequently, the block link point may acquire a second block of the vehicle 100c from the block chain, where the second block stores the license plate number, a second access state, a destination point, and a second shooting time of the vehicle 100 c; the block link point can detect an abnormality of the vehicle 100c based on the first entering/exiting state, the second entering/exiting state, the first imaging time, and the second imaging time. The specific implementation manner of the abnormality detection on the vehicle 100c may refer to the steps in the embodiment corresponding to fig. 3, and is not described herein again.
Optionally, if the number of parked vehicles is greater than or equal to the preset threshold, the block link point does not trigger an entrance opening command based on the smart contract, and the entrance management device 20c does not open the entrance when the entrance opening command is not received, so that the vehicle 100c can wait while parking, when a vehicle exits from the destination point 20b and the block link point generates and adds the license plate number, the access state, the destination point, and the shooting time of the exiting vehicle to the block chain, the block link point generates and adds the license plate number, the first access state, the destination point, and the first shooting time of the vehicle 100c to the block chain, and subsequently, the block link point triggers an entrance opening command based on the smart contract and sends the entrance opening command to the entrance management device 20c, and the entrance management device 20c controls opening after receiving the entrance opening command, causing vehicle 100c to enter target location 20 b.
Further, please refer to fig. 5a, which is a block chain structure diagram according to an embodiment of the present application. As shown in fig. 5a, the block chain is composed of a plurality of blocks, where the blocks in the block chain may include a starting block, a first block, and the like, the starting block includes a block header and a block body, the block header stores an input information characteristic value, a version number, a timestamp, and a difficulty value, and the block body stores input information, where the input information may include data in steps S101-S102 in the embodiment corresponding to fig. 2, that is, the license plate number, the first access state, the target location, and the first shooting time of the vehicle. The next block of the starting block takes the starting block as a parent block, the next block also comprises a block head and a block main body, and the block head stores the input information characteristic value (namely a hash value) of the current block, the block head characteristic value, the version number, the timestamp and the difficulty value of the parent block, and so on, so that the block data stored in each block in the block chain is associated with the block data stored in the parent block, and the safety of the input information in the block is ensured.
Further, please refer to fig. 5b, which is a schematic flow chart of generating a block according to an embodiment of the present application. In fig. 5b, the new block may include the first block from step S101 to step S102 in the embodiment corresponding to fig. 2; the input information may include data in steps S101 to S102 in the embodiment corresponding to fig. 2, i.e., the license plate number of the vehicle, the first access state, the destination point, and the first photographing time. As shown in fig. 5b, the process of generating the tile may include:
step 401, the node monitors the input information of the whole network.
Step 402, verifying the input information, storing the input information in a memory pool, and updating the hash tree.
Specifically, when the node where the block chain is located receives the input information, the input information is verified, after the verification is completed, the input information is stored in the memory pool, and the hash tree used for recording the input information is updated.
At step 403, the timestamp is updated.
Specifically, the update time stamp is updated to the time when the input information is received.
At step 404, different random numbers are tried.
Step 405, feature value calculation.
Specifically, the feature value calculation is performed for a plurality of times, so that the calculated feature value can satisfy the following formula:
wherein, SHA256 is a characteristic value algorithm used for calculating a characteristic value; version is version information of the relevant block protocol in the block chain; prev _ hash is a block head characteristic value of a parent block of the current block; merkle _ root is a characteristic value of the input information; ntime is the update time of the update timestamp; nbits is the current difficulty, is a fixed value within a period of time, and is determined again after exceeding a fixed time period; x is a random number; TARGET is a feature threshold, which can be determined from nbits.
And step 406, repeating the steps 401 to 405 until a reasonable characteristic value is found.
Step 407, pack the block.
Specifically, when the random number satisfying the above formula is obtained by calculation, the information may be stored correspondingly, and a block header and a block body are generated to obtain the current block.
In step 408, a new block is broadcast.
Specifically, the node where the block chain is located sends the newly generated blocks to other nodes respectively according to the node identifiers of the other nodes.
And step 409, linking into a block chain after other nodes are verified.
Specifically, the other nodes check the newly generated block, and add the newly generated block to the block chain stored in the newly generated block after the check is completed.
Further, please refer to fig. 6, which is a schematic flow chart of another block generation method according to an embodiment of the present application. As shown in fig. 6, the process of generating the tile may include:
in step S201, the block with the largest generation timestamp is acquired from the block chain as a target block.
Specifically, the target block, i.e. the latest block on the block chain, has the latest timestamp, and the target block is used as the parent block of the block to be generated.
Step S202, performing hash calculation on the first access state of the target vehicle, the target vehicle information, the target location, and the first shooting time information to obtain a hash value of the first block.
Specifically, the hash value of the block to be generated is calculated according to the data in the block to be generated, that is, the first access state of the target vehicle, the target vehicle information, the target location, and the shooting time. The specific calculation process may refer to steps 405 to 406 in the embodiment corresponding to fig. 5b, which is not described herein again. The hash value in the embodiment corresponding to fig. 6 corresponds to the feature value in the embodiment corresponding to fig. 5 b.
In step S203, the hash value of the target block is determined as the hash value of the parent block.
Step S204 of generating the first block to be added to the block chain based on the parent block hash value, the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information; the generation timestamp in the first block is used to update the maximum generation timestamp on the block chain.
Specifically, the parent block hash value is used as a head characteristic value of a first block to be generated, the hash value of the first block is used as a block main body characteristic value of the first block, the first access state, the target vehicle information, the target location and the first shooting time information are used as block main bodies, the first block is generated, and the first block is linked into a block chain. The specific processes of generating the block and linking into the block chain may refer to steps 407 to 409 in the embodiment corresponding to fig. 5b, which are not described herein again.
Further, please refer to fig. 7, which is a schematic structural diagram of a vehicle access management device according to an embodiment of the present application. As shown in fig. 7, the vehicle access management apparatus 1 may include: a receiving module 11, an uplink module 12, a first obtaining module 13, and a detecting module 14.
The receiving module 11 is configured to receive target vehicle access information sent by the camera device; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device;
an uplink module 12, configured to generate a first block according to the target vehicle access information, and add the first block to a block chain;
a first obtaining module 13, configured to obtain a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle;
and a detection module 14, configured to perform abnormality detection on the operating state of the target vehicle according to the first access state, the second access state, the first shooting time information, and the second shooting time information.
The specific functional implementation manner of the receiving module 11, the uplink module 12, the first obtaining module 13, and the detecting module 14 may participate in steps S101 to S104 in the embodiment corresponding to fig. 2, which is not described herein again.
Referring to fig. 7, the uplink module 12 may include: a generating unit 121, a broadcasting unit 122, and an adding unit 123.
A generating unit 121 configured to generate the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information;
a broadcasting unit 122, configured to broadcast the first block to all block chain nodes on the block chain;
an adding unit 123, configured to add the first block to the block chain when it is determined that the all block link points on the block chain agree.
For specific functional implementation manners of the generating unit 121, the broadcasting unit 122 and the adding unit 123, reference may be made to step S102 in the embodiment corresponding to fig. 2, which is not described herein again.
Referring to fig. 7, the generating unit 121 may include: an acquisition sub-unit 1211, a calculation sub-unit 1212, a determination sub-unit 1213, and a generation sub-unit 1214.
An obtaining subunit 1211, configured to obtain, from the block chain, a block with a largest generation timestamp as a target block;
a calculating subunit 1212, configured to perform hash calculation on the first access state of the target vehicle, the target vehicle information, the target location, and the first shooting time information, to obtain a hash value of the first block;
a determining subunit 1213 configured to determine the hash value of the target block as a parent block hash value;
a generation sub-unit 1214 for generating the first block to be added to the block chain based on the parent block hash value, the first block hash value, a first access state of the target vehicle, target vehicle information, a target location, and first photographing time information; the generation timestamp in the first block is used to update the maximum generation timestamp on the block chain.
For specific functional implementation manners of the obtaining subunit 1211, the calculating subunit 1212, the determining subunit 1213, and the generating subunit 1214, reference may be made to steps S201 to S204 in the embodiment corresponding to fig. 6, which is not described herein again.
Referring to fig. 7, the first obtaining module 13 may include: a first obtaining unit 131 and a first determining unit 132.
An obtaining unit 131, configured to obtain the first block from the block chain, and obtain the first access state, the target vehicle information, the target location, and the first shooting time information in the first block;
a first determining unit 132, configured to determine at least one candidate block from the block chain based on the target vehicle information; the at least one candidate block comprises the target vehicle information; the at least one candidate block does not include the first block;
the first determining unit 132 is further configured to determine, as the second block, a block to be selected having a largest generation timestamp among the at least one block to be selected.
For specific functional implementation of the first obtaining unit 131 and the first determining unit 132, refer to step S103 in the embodiment corresponding to fig. 2, which is not described herein again.
Referring to fig. 7, the detection module 14 may include: a second obtaining unit 141 and a second determining unit 142.
A second acquiring unit 141 configured to acquire the first access state and the first photographing time in the first block, and the second access state and the second photographing time in the second block;
a second determining unit 142, configured to determine a time difference between the first shooting time and the second shooting time; if the first access state is an access state and the second access state is an access state, the time difference is used for representing the actual working time of the target vehicle;
the second determining unit 142, further configured to determine a time difference between the first shooting time and the second shooting time;
the second determining unit 142 is further configured to determine that the time difference is an actual working duration of the target vehicle if the first access state is an access state and the second access state is an access state, and determine that the working state of the target vehicle is an abnormal working state if the actual working duration is greater than a first duration threshold;
the second determining unit 142 is configured to determine that the time difference is the actual rest duration of the target vehicle if the first access state is the leaving-site state and the second access state is the entering-site state, and determine that the working state of the target vehicle is the abnormal rest state if the actual rest duration is greater than a second duration threshold.
The specific functional implementation manners of the second obtaining unit 141 and the second determining unit 142 may refer to step S104 in the embodiment corresponding to fig. 2, and are not described herein again.
Referring to fig. 7, the vehicle access management apparatus 1 may include: the receiving module 11, the uplink module 12, the first obtaining module 13, and the detecting module 14 may further include: a second acquisition module 15, a first update module 16 and a second update module 17.
A second obtaining module 15, configured to obtain the number of parked vehicles in the target location;
a first updating module 16, configured to send an entrance opening instruction to an entrance management device at the target location if the number of parked vehicles is smaller than the parking space threshold and the first access state is an entrance state, and update the number of parked vehicles in an incremental manner;
a second updating module 17, configured to send the entrance opening instruction to the entrance management device if the first access state is a leaving-site state, and update the number of parked vehicles in a decreasing manner.
The specific functional implementation manner of the second obtaining module 15, the first updating module 16, and the second updating module 17 may participate in step S102 in the embodiment corresponding to fig. 2, which is not described herein again.
The method comprises the steps that target vehicle access information sent by camera equipment is received; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device; generating a first block according to the target vehicle access information, and adding the first block into a block chain; acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle; and carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information. According to the vehicle monitoring method and the vehicle monitoring system, the vehicle is shot through the camera equipment, vehicle access information such as license plate numbers and access states of the vehicle is identified based on the shot images, the vehicle access information generation block is added into the block chain, the vehicle access information cannot be changed, the reliability of recorded vehicle monitoring information can be improved, and the accuracy of the analyzed vehicle working condition is improved.
Further, please refer to fig. 8, which is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 8, the apparatus 1 in the embodiment corresponding to fig. 7 may be applied to the computer device 1000, and the computer device 1000 may include: a processor 1001, a network interface 1004, and a memory 1005, and the computer apparatus 1000 further includes: a user interface 1003, and at least one communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display) and a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a standard wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 8, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a device control application program.
In the computer device 1000 shown in fig. 8, the network interface 1004 may provide a network communication function; the user interface 1003 is an interface for providing a user with input; and the processor 1001 may be used to invoke a device control application stored in the memory 1005 to implement:
receiving target vehicle access information sent by camera equipment; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device;
generating a first block according to the target vehicle access information, and adding the first block into a block chain;
acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle;
and carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information.
In one embodiment, the processor 1001, when executing the step of generating a first block according to the target vehicle access information and adding the first block to a block chain, specifically executes the following steps:
generating the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information;
broadcasting the first block to all blockchain nodes on the blockchain;
adding the first block to the block chain upon determining that the all block link points on the block chain agree.
In one embodiment, when the processor executes the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information, the processor specifically executes the following steps:
acquiring a block with the largest generation time stamp from the block chain as a target block;
performing hash calculation on the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information to obtain a hash value of the first block;
determining the hash value of the target block as a parent block hash value;
generating the first block to be added to the block chain based on the parent block hash value, the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information; the generation timestamp in the first block is used to update the maximum generation timestamp on the block chain.
In one embodiment, when the processor 1001 acquires the second block containing the target vehicle information in the block chain, the following steps are specifically performed:
acquiring the first block from the block chain, and acquiring the first access state, the target vehicle information, the target location and the first shooting time information in the first block;
determining at least one candidate block from the block chain based on the target vehicle information; the at least one candidate block comprises the target vehicle information; the at least one candidate block does not include the first block;
and determining the block to be selected with the largest generation time stamp in the at least one block to be selected as the second block.
In one embodiment, when the processor 1001 performs the abnormality detection on the operating state of the target vehicle according to the first access state, the second access state, the first photographing time information, and the second photographing time information, the processor specifically performs the following steps:
acquiring the first access state and the first shooting time in the first block and the second access state and the second shooting time in the second block;
determining a time difference value between the first shooting time and the second shooting time;
if the first access state is an access state and the second access state is an access state, determining that the time difference is the actual working time of the target vehicle, and if the actual working time is greater than a first time threshold, determining that the working state of the target vehicle is an abnormal working state;
and if the first access state is an exit state and the second access state is an entry state, determining that the time difference is the actual rest duration of the target vehicle, and if the actual rest duration is greater than a second duration threshold, determining that the working state of the target vehicle is an abnormal rest state.
In one embodiment, the processor 1001 further performs the steps of:
obtaining the number of parked vehicles in the target location;
if the vehicle parking number is smaller than the parking space threshold value and the first access state is a field entering state, sending an entrance opening instruction to entrance management equipment at the target place, and updating the vehicle parking number in an increasing mode;
and if the first access state is a leaving field state, sending the entrance opening instruction to the entrance management equipment, and updating the vehicle parking number in a descending mode.
In one embodiment, the first access state is determined by the camera device based on a positional relationship between the subject vehicle and the entrance management device of the subject site in the captured image; the target vehicle information is the license plate number of the target vehicle in the shot image; the captured image is an image including the target vehicle captured by the camera apparatus at the target location.
According to the vehicle monitoring method and the vehicle monitoring system, the vehicle is shot through the camera equipment, vehicle access information such as license plate numbers and access states of the vehicle is identified based on the shot images, the vehicle access information generation block is added into the block chain, the vehicle access information cannot be changed, the reliability of recorded vehicle monitoring information can be improved, and the accuracy of the analyzed vehicle working condition is improved.
It should be understood that the computer device 1000 described in this embodiment of the present application may perform the description of the data processing method in the embodiment corresponding to fig. 2 to fig. 6, and may also perform the description of the data processing apparatus 1 in the embodiment corresponding to fig. 7, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.
Further, here, it is to be noted that: an embodiment of the present application further provides a computer storage medium, where a computer program executed by the aforementioned data processing computer device 1 is stored in the computer storage medium, and the computer program includes program instructions, and when the processor executes the program instructions, the description of the data processing method in the embodiments corresponding to fig. 2 to fig. 6 can be executed, so that details are not repeated here. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in the embodiments of the computer storage medium referred to in the present application, reference is made to the description of the embodiments of the method of the present application.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.
Claims (10)
1. A vehicle access management method, comprising:
receiving target vehicle access information sent by camera equipment; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device;
generating a first block according to the target vehicle access information, and adding the first block into a block chain;
acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle;
and carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information.
2. The method of claim 1, wherein the generating a first block from the target vehicle access information, adding the first block to a chain of blocks, comprises:
generating the first block to be added to the block chain according to the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information;
broadcasting the first block to all blockchain nodes on the blockchain;
adding the first block to the block chain upon determining that the all block link points on the block chain agree.
3. The method of claim 2, wherein the generating the first tile to be added to the tile chain according to the first access status of the target vehicle, the target vehicle information, the target location, and the first photographing time information comprises:
acquiring a block with the largest generation time stamp from the block chain as a target block;
performing hash calculation on the first access state of the target vehicle, the target vehicle information, the target location and the first shooting time information to obtain a hash value of the first block;
determining the hash value of the target block as a parent block hash value;
generating the first block to be added to the block chain based on the parent block hash value, the first access state of the target vehicle, the target vehicle information, the target location, and the first photographing time information; the generation timestamp in the first block is used to update the maximum generation timestamp on the block chain.
4. The method of claim 1, wherein the obtaining a second block containing the target vehicle information in the block chain comprises:
acquiring the first block from the block chain, and acquiring the first access state, the target vehicle information, the target location and the first shooting time information in the first block;
determining at least one candidate block from the block chain based on the target vehicle information; the at least one candidate block comprises the target vehicle information; the at least one candidate block does not include the first block;
and determining the block to be selected with the largest generation time stamp in the at least one block to be selected as the second block.
5. The method of claim 1, wherein the detecting an abnormality in the operating state of the target vehicle based on the first access state, the second access state, the first photographing time information, and the second photographing time information comprises:
acquiring the first access state and the first shooting time in the first block and the second access state and the second shooting time in the second block;
determining a time difference value between the first shooting time and the second shooting time;
if the first access state is an access state and the second access state is an access state, determining that the time difference is the actual working time of the target vehicle, and if the actual working time is greater than a first time threshold, determining that the working state of the target vehicle is an abnormal working state;
and if the first access state is an exit state and the second access state is an entry state, determining that the time difference is the actual rest duration of the target vehicle, and if the actual rest duration is greater than a second duration threshold, determining that the working state of the target vehicle is an abnormal rest state.
6. The method of claim 1, further comprising:
obtaining the number of parked vehicles in the target location;
if the vehicle parking number is smaller than the parking space threshold value and the first access state is a field entering state, sending an entrance opening instruction to entrance management equipment at the target place, and updating the vehicle parking number in an increasing mode;
and if the first access state is a leaving field state, sending the entrance opening instruction to the entrance management equipment, and updating the vehicle parking number in a descending mode.
7. The method according to claim 1, wherein the first access state is determined by the camera device based on a positional relationship between the subject vehicle and an entrance management device of the subject site in a captured image; the target vehicle information is the license plate number of the target vehicle in the shot image; the captured image is an image including the target vehicle captured by the camera apparatus at the target location.
8. A vehicle access management device, comprising:
the receiving module is used for receiving the target vehicle access information sent by the camera equipment; the target vehicle access information comprises a first access state of a target vehicle, target vehicle information, a target place and first shooting time information; the target vehicle access information is information generated by photographing the target vehicle at the target location by the camera device;
the uplink module is used for generating a first block according to the target vehicle access information and adding the first block into a block chain;
the first acquisition module is used for acquiring a second block containing the target vehicle information in the block chain; the second block further comprises a second access state and second shooting time information of the target vehicle;
and the detection module is used for carrying out abnormity detection on the working state of the target vehicle according to the first access state, the second access state, the first shooting time information and the second shooting time information.
9. A computer device, comprising: a processor and a memory;
the memory stores a computer program which, when executed by the processor, causes the processor to perform the steps of the method of any one of claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions which, when executed by a processor, perform the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910893245.4A CN110610610B (en) | 2019-09-20 | 2019-09-20 | Vehicle access management method and device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910893245.4A CN110610610B (en) | 2019-09-20 | 2019-09-20 | Vehicle access management method and device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110610610A true CN110610610A (en) | 2019-12-24 |
| CN110610610B CN110610610B (en) | 2022-04-15 |
Family
ID=68893010
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910893245.4A Active CN110610610B (en) | 2019-09-20 | 2019-09-20 | Vehicle access management method and device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110610610B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111540230A (en) * | 2020-05-06 | 2020-08-14 | 成都翔宇致远文化传播有限公司 | Management system based on block chain technology |
| CN111967823A (en) * | 2020-08-14 | 2020-11-20 | 北京骑胜科技有限公司 | Article management method and device |
| CN112185125A (en) * | 2020-09-22 | 2021-01-05 | 杭州海康威视数字技术股份有限公司 | Method and device for identifying vehicles entering and exiting in parking lot and electronic equipment |
| CN113205069A (en) * | 2021-05-27 | 2021-08-03 | 上海高德威智能交通系统有限公司 | False license plate detection method and device and computer storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101799985A (en) * | 2010-03-18 | 2010-08-11 | 招商局重庆交通科研设计院有限公司 | Highway tunnel traffic identification method |
| CN105374226A (en) * | 2015-10-26 | 2016-03-02 | 福建新大陆电脑股份有限公司 | Control system and method for monitoring entrance and exit of parking lot |
| US20180061237A1 (en) * | 2016-08-30 | 2018-03-01 | International Business Machines Corporation | Modifying Behavior of Autonomous Vehicle Based on Advanced Predicted Behavior Analysis of Nearby Drivers |
| CN107993478A (en) * | 2017-09-15 | 2018-05-04 | 路特迩科技(杭州)有限公司 | Berth service and management system and method based on vehicle detection |
| CN108171983A (en) * | 2017-11-24 | 2018-06-15 | 西安艾润物联网技术服务有限责任公司 | Vehicles management method, device and storage medium |
| CN108230684A (en) * | 2016-12-21 | 2018-06-29 | 杭州海康威视数字技术股份有限公司 | Detection method of license plate and device |
| CN108364472A (en) * | 2017-12-29 | 2018-08-03 | 中兴智能交通股份有限公司 | A kind of abnormal behaviour treating method and apparatus of intelligent parking lot |
| CN108694858A (en) * | 2018-07-20 | 2018-10-23 | 谭智 | A kind of method and its system carrying out parking management based on block chain technology |
| CN110047168A (en) * | 2019-04-15 | 2019-07-23 | 优信拍（北京）信息科技有限公司 | Management method, device, equipment and the system of information of vehicles |
-
2019
- 2019-09-20 CN CN201910893245.4A patent/CN110610610B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101799985A (en) * | 2010-03-18 | 2010-08-11 | 招商局重庆交通科研设计院有限公司 | Highway tunnel traffic identification method |
| CN105374226A (en) * | 2015-10-26 | 2016-03-02 | 福建新大陆电脑股份有限公司 | Control system and method for monitoring entrance and exit of parking lot |
| US20180061237A1 (en) * | 2016-08-30 | 2018-03-01 | International Business Machines Corporation | Modifying Behavior of Autonomous Vehicle Based on Advanced Predicted Behavior Analysis of Nearby Drivers |
| CN108230684A (en) * | 2016-12-21 | 2018-06-29 | 杭州海康威视数字技术股份有限公司 | Detection method of license plate and device |
| CN107993478A (en) * | 2017-09-15 | 2018-05-04 | 路特迩科技(杭州)有限公司 | Berth service and management system and method based on vehicle detection |
| CN108171983A (en) * | 2017-11-24 | 2018-06-15 | 西安艾润物联网技术服务有限责任公司 | Vehicles management method, device and storage medium |
| CN108364472A (en) * | 2017-12-29 | 2018-08-03 | 中兴智能交通股份有限公司 | A kind of abnormal behaviour treating method and apparatus of intelligent parking lot |
| CN108694858A (en) * | 2018-07-20 | 2018-10-23 | 谭智 | A kind of method and its system carrying out parking management based on block chain technology |
| CN110047168A (en) * | 2019-04-15 | 2019-07-23 | 优信拍（北京）信息科技有限公司 | Management method, device, equipment and the system of information of vehicles |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111540230A (en) * | 2020-05-06 | 2020-08-14 | 成都翔宇致远文化传播有限公司 | Management system based on block chain technology |
| CN111967823A (en) * | 2020-08-14 | 2020-11-20 | 北京骑胜科技有限公司 | Article management method and device |
| CN111967823B (en) * | 2020-08-14 | 2024-04-19 | 北京骑胜科技有限公司 | Article management method and device |
| CN112185125A (en) * | 2020-09-22 | 2021-01-05 | 杭州海康威视数字技术股份有限公司 | Method and device for identifying vehicles entering and exiting in parking lot and electronic equipment |
| CN113205069A (en) * | 2021-05-27 | 2021-08-03 | 上海高德威智能交通系统有限公司 | False license plate detection method and device and computer storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110610610B (en) | 2022-04-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110610610B (en) | Vehicle access management method and device and storage medium | |
| CN110784628B (en) | Image data acquisition processing method and system, intelligent camera and server | |
| JP2007158421A (en) | Monitoring camera system and face image tracing recording method | |
| CN112017323B (en) | Inspection alarm method and device, readable storage medium and terminal equipment | |
| CN105184881A (en) | Method, apparatus, server and system for identifying user identity | |
| EP2840557B1 (en) | Image processing system, server device, image pickup device and image evaluation method | |
| CN111105621A (en) | Method and device for detecting illegal parking | |
| CN114936354B (en) | Information processing method and device for engineering supervision | |
| CN114727069A (en) | Charging station maintenance method, device, equipment and computer readable medium | |
| CN114500952A (en) | Control method, device and equipment for dynamic monitoring of park and computer storage medium | |
| CN114463873A (en) | Patrol system for community | |
| CN111371984B (en) | Method and device for determining abnormality of snapshot machine and storage medium | |
| CN116645530A (en) | Construction detection method, device, equipment and storage medium based on image comparison | |
| CN106303232A (en) | Terminal anti-theft method and device | |
| CN116758645A (en) | Robot inspection method, system, computer equipment and storage medium | |
| CN109640022A (en) | Video recording method, device, network shooting device and storage medium | |
| CN114359828A (en) | Target behavior recording method, device, storage medium and electronic device | |
| CN115564733A (en) | Method and device for detecting working state of equipment, storage medium and electronic device | |
| US11398091B1 (en) | Repairing missing frames in recorded video with machine learning | |
| CN116415028A (en) | Video data re-recording method, cloud storage server, system and storage medium | |
| JP7085925B2 (en) | Information registration device, information processing device, control method of information registration device, control method of information processing device, system, and program | |
| CN114245915A (en) | Traffic information processing method, traffic information processing device, electronic equipment, server and storage medium | |
| CN112164169A (en) | Access control management method and device, access control equipment and computer readable storage medium | |
| CN112562146B (en) | Method for realizing personnel flow in building site based on intelligent cloud platform | |
| CN111241879A (en) | Vehicle detection method and device, electronic equipment and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |