CN110855724B - Cloud operation and maintenance management method and system of intelligent camera and application of cloud operation and maintenance management method and system in parking charging - Google Patents

Cloud operation and maintenance management method and system of intelligent camera and application of cloud operation and maintenance management method and system in parking charging Download PDF

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Publication number
CN110855724B
CN110855724B CN201810948074.6A CN201810948074A CN110855724B CN 110855724 B CN110855724 B CN 110855724B CN 201810948074 A CN201810948074 A CN 201810948074A CN 110855724 B CN110855724 B CN 110855724B
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cloud server
intelligent camera
intelligent
camera
user terminal
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CN110855724A (en
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赵倩
李懿
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CHENGDU VISION-ZENITH TECHNOLOGY DEVELOPMENT CO LTD
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CHENGDU VISION-ZENITH TECHNOLOGY DEVELOPMENT CO LTD
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02Arrangements 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/14Session management
    • H04L67/141Setup of application sessions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/14Session management
    • H04L67/148Migration or transfer of sessions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/66Remote control of cameras or camera parts, e.g. by remote control devices
    • H04N23/661Transmitting camera control signals through networks, e.g. control via the Internet
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Abstract

The invention discloses a cloud operation and maintenance management method and system of an intelligent camera and application of the cloud operation and maintenance management method and system in parking charging. The cloud operation and maintenance management system comprises a cloud server, a user terminal and an intelligent camera, and the cloud operation and maintenance management method comprises the following steps: s1: the user terminal establishes connection with the cloud server, and the intelligent camera is searched in the cloud server through the equipment identifier; s2: the cloud server establishes transfer connection between the user terminal and the intelligent camera corresponding to the equipment identifier; s3: and the user terminal performs remote maintenance management operation on the intelligent camera. The design can realize remote cross-network access to the camera in the local area network, further realize remote operation and maintenance management to the camera, save labor cost, communication cost and commute cost, and improve the operation and maintenance efficiency of the parking lot.

Description

Cloud operation and maintenance management method and system of intelligent camera and application of cloud operation and maintenance management method and system in parking charging
Technical Field
The invention relates to the technical field of clouds, in particular to a cloud operation and maintenance management method and system of an intelligent camera and application of the cloud operation and maintenance management method and system in parking charging.
Background
In China, with the continuous increase of urban automobile conservation quantity, urban traffic jam is increasingly serious, and daily travel efficiency of people is low, especially in people concentrated areas such as urban business, residential communities and the like. Thus, parking lots in cities are increasingly managed regardless of the district or business CBD, and at the same time, some large cities in China are beginning to pay attention to related technical researches and introduction of intelligent parking management systems.
In recent years, the license plate recognition industry of parking lots is seen, and due to promotion of policies, more and more parking lots in cities adopt license plate recognition cameras to recognize and manage vehicles entering and exiting the parking lots. The development trend of the vertical subdivision field of the parking lot is rapid, and the shop goods of the front-end camera is huge. The problems of installation and after-sales faced by large-scale old cell construction and new cell loading are also endless.
In the traditional mode, when the camera gives an alarm or needs to be upgraded, a user needs to make electricity to a seller, and then after-sales personnel of the seller arrive at the scene to carry out maintenance/upgrading, but in most cases, the alarm is not hardware failure of the camera, but software or system failure, and the problem can be solved through adjustment or corresponding parameter configuration.
Disclosure of Invention
The invention aims at: aiming at the problems, the cloud-based remote camera operation and maintenance management method and system and application thereof in parking lot charging are provided, so that remote operation and maintenance is realized, and the pain point of low after-sale operation and maintenance efficiency before sale is solved.
The technical scheme adopted by the invention is as follows:
the invention provides a cloud operation and maintenance management method of an intelligent camera, which is applied to a parking lot management system, wherein the system comprises a cloud server, a plurality of intelligent cameras and a plurality of user terminals; the method comprises the following steps:
s1: the user terminal establishes connection with the cloud server, and the intelligent camera is searched in the cloud server through the equipment identifier;
s2: the cloud server establishes transfer connection between the user terminal and the intelligent camera corresponding to the equipment identifier;
s3: and the user terminal performs remote maintenance management operation on the intelligent camera.
Based on the cloud operation and maintenance management method for the intelligent camera, the invention provides a parking lot charging method, which comprises the following steps in parallel with S1-S3:
s4: capturing a license plate image of a vehicle by an intelligent camera, and obtaining a first recognition result according to the license plate image;
s5: the intelligent camera uploads the first identification result and the license plate image to a cloud server;
s6: and the cloud server issues a first instruction to the intelligent camera according to the received first identification result and/or license plate image so as to enable the intelligent camera to execute corresponding actions.
The invention provides a cloud operation and maintenance management system of intelligent cameras, which comprises cloud services, a plurality of user terminals and a plurality of intelligent cameras, wherein the cloud servers are respectively connected with the user terminals and the intelligent cameras; wherein:
each user terminal is used for: establishing connection with a cloud server, and searching an intelligent camera in the cloud server through a device identifier; the remote maintenance management operation is also used for carrying out remote maintenance management operation on the retrieved intelligent camera;
the cloud server is used for: and searching the intelligent camera corresponding to the equipment identifier, and establishing transfer connection between the user terminal and the intelligent camera.
The invention provides a cloud operation and maintenance management system based on the intelligent camera, which comprises a parking lot charging system:
each intelligent camera is used for capturing license plate images of vehicles and obtaining a first recognition result according to the license plate images; uploading the first identification result and the license plate image to a cloud server; executing corresponding actions according to a first instruction issued by the cloud server;
and the cloud server further transmits the first instruction to the intelligent camera according to the first identification result and/or the license plate image uploaded by the intelligent camera.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
1. the design can realize remote cross-network access to the camera in the local area network, further realize remote operation and maintenance management to the camera, save labor cost, communication cost and commute cost, and improve the operation and maintenance efficiency of the parking lot.
2. The device identification based on the camera carries out grouping management on the device identification, unified management and maintenance of cameras of multiple parking lots are realized, the problem of compatibility of management among cameras of different manufacturers is solved, and management of parking lot data is more unified and orderly.
3. The account with corresponding authority is provided for different operation and maintenance parties, so that the cost of independently developing an operation and maintenance system is saved; meanwhile, the system framework supports the lateral expansion of the user account without modifying the system, and the system is reasonable and simple in design.
Drawings
The invention will now be described by way of example and with reference to the accompanying drawings in which:
fig. 1 is one embodiment of a parking lot billing method.
Fig. 2 is one embodiment of a parking lot billing system.
Detailed Description
All of the features disclosed in this specification, or all of the steps in a method or process disclosed, may be combined in any combination, except for mutually exclusive features and/or steps.
Any feature disclosed in this specification (including any accompanying claims, abstract) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.
As shown in fig. 1, the first embodiment discloses a cloud operation and maintenance management method of an intelligent camera, which is mainly applied to a parking lot management system (which can also be applied to other fields of security protection, monitoring and the like), and the parking lot management system comprises a cloud server, a plurality of intelligent cameras and a plurality of user terminals. The cloud operation and maintenance management method comprises the following steps:
s1: the user terminal establishes connection with the cloud server, and the intelligent camera is searched in the cloud server through the equipment identifier. Each smart camera is provided with a device identification that serves as a unique identification of the camera in the system. The user terminal belongs to an intelligent terminal, and remote connection is established between the user terminal and the cloud server. For user terminals, it is typical to be an intelligent terminal that logs into a user account.
In one embodiment, after the user terminal establishes a connection with the cloud server, the user terminal directly inputs a device identifier in a search area (such as a search window) to search for the intelligent camera; or after the user terminal is connected with the cloud server, further acquiring the group of the intelligent cameras under the user terminal, and searching the intelligent cameras through the equipment identifier in the acquired group.
S2: and the cloud server establishes transit connection between the user terminal and the intelligent camera corresponding to the equipment identifier.
In one embodiment, the cloud server establishes a transit connection for the user terminal according to the device identifier retrieved by the user terminal, and the user terminal establishes an access connection with the retrieved device identifier through the transit connection.
In a specific embodiment, the ue is connected to a PDNS (passive dns), and the PDNS receives the search of the ue for the device identifier, and according to the device identifier searched by the ue, searches out an STP (Super Turn Server, super-conversion server) serving the corresponding smart camera, and notifies the STP to allocate a mapping port to the smart camera, and the ue interacts directly with the smart camera in the lan through the mapping port. Because the intelligent cameras in each parking lot relate to the data of the parking lot, the intelligent cameras are required to be arranged in a local area network for internal networking for confidentiality, access attack and the like, and cannot directly access through an external network.
Further, the step S2 includes:
s21: the cloud server binds a plurality of intelligent cameras and centrally manages the bound intelligent cameras.
Specifically, S21 includes:
s211: registering a plurality of user accounts on a cloud server; preferably, each user account is provided with a corresponding user authority level, such as authority accounts with different levels of full authority management authority, test authority, maintenance authority and the like; each user account corresponds to an operation and maintenance party, and one operation and maintenance party can also have a plurality of user accounts;
s212: setting grouping management for each user account; the grouping is preferably performed in a parking lot (before the grouping can be performed according to areas), so as to form a hierarchical relationship of user account-grouping-intelligent camera, specifically: user account-area-parking lot-smart camera hierarchical relationship;
s213: the cloud server binds a plurality of intelligent cameras to the grouping of corresponding user accounts according to the parking lot to which the intelligent cameras belong; the binding is preferably to bind the intelligent camera according to the equipment identifier of the intelligent camera, and bind the intelligent camera under the corresponding user account, namely bind the corresponding operation and maintenance party, so that the scheme can effectively distinguish the cameras responsible for different operation and maintenance parties, simultaneously uniformly manage all the cameras, support the transverse expansion of the operation and maintenance party and the corresponding camera thereof, and do not need to integrally modify the system, and the number of the operation and maintenance parties/the number of the cameras which are theoretically supported have no upper limit.
Preferably, S21 further includes: s214: and when the intelligent camera bound to the cloud server transmits faults, the intelligent camera actively reports operation data to the cloud server and/or a user account to which the cloud server belongs. In one embodiment, the operation data includes, but is not limited to, operation log, fault early warning information, wherein the operation log may include CPU, memory, cache, network connection status, SD card information, etc., and the fault early warning information may include video screen blocking, memory abnormality, CPU occupation too high, etc.
S22: and the cloud server inquires the address of the corresponding intelligent camera in the local area network according to the equipment identifier retrieved by the user terminal. Generally, the cloud server stores an address table of each intelligent camera in a local area network to which the intelligent camera belongs, and when an access request of a user terminal is received, the address of the corresponding intelligent camera is queried according to a device identifier retrieved by the user terminal.
S23: the cloud server configures a mapping port mapped to an address in the local area network for the user terminal; the user terminal establishes access connection with the corresponding intelligent camera through the mapping port. In the subsequent process, the user terminal can directly communicate with the intelligent camera. Typically, configuration of the mapping ports is accomplished by means of a domain name system/server.
S3: and the user terminal performs remote maintenance management operation on the intelligent camera.
Such maintenance management includes, but is not limited to, acquiring real-time images (including images of passing vehicles or images currently being captured) captured by the smart camera, controlling the smart camera to perform corresponding actions (e.g., capturing photographs), or configuring/debugging smart camera parameters/protocols (e.g., restarting, configuring exposure parameters, network parameters, http push protocols, on-screen protocols, setting identification areas, drawing virtual coils), etc. The method realizes the remote operation and maintenance management of the operation and maintenance party on the camera, saves invalid labor cost and improves the operation and maintenance efficiency of the parking lot system.
Through the scheme, the operation and maintenance party can establish remote connection with the intelligent camera through the cloud server, further remotely process faults of the front-end intelligent camera, debug the camera or remotely control and capture pictures, realize remote operation and maintenance management of the camera, and improve operation and maintenance efficiency of equipment.
The second embodiment discloses a parking lot charging method based on the first embodiment, wherein the method runs in parallel with the steps in the first embodiment, and the method comprises the following steps:
s4: the intelligent camera captures a license plate image of the vehicle and obtains a first recognition result according to the license plate image.
The method for outputting the recognition result according to the license plate image belongs to the prior conventional technology, such as a neural network algorithm based on deep learning, a comparison method based on characteristic values and the like, and the license plate recognition method specifically selected in the design is not limited, and the specific recognition process is not described herein.
In one embodiment, the intelligent camera captures a live picture in real time, performs deep learning on the captured picture, judges whether a license plate is contained in the captured picture, and if so, captures an image at the moment as a license plate image. In general, a license plate has a certain standard, and whether a certain area in an image is a license plate can be judged based on deep learning of the standard by a neural network.
S5: the intelligent camera uploads the first identification result and the captured license plate image to the cloud server; alternatively, the real-time image is also uploaded to the cloud server. The real-time image includes a currently captured picture and/or a pass-through screen (i.e., a picture captured when there is a vehicle passing).
S6: and the cloud server issues a first instruction to the intelligent camera according to the received first identification result and/or license plate image so as to enable the intelligent camera to execute corresponding actions.
In one embodiment, S6 includes the steps of:
s61: the cloud server forwards the first identification result to a third party charging system; or the cloud server identifies the license plate image to obtain a second identification result, and the second identification result is sent to a third party charging system; based on the secondary identification of the license plate image by the cloud server, the accuracy rate of license plate identification can be effectively improved;
s62: the third party charging system generates a first instruction according to the received first identification result or second identification result (the cloud server sends the first identification result, and then the cloud server sends the second identification result according to the first identification result, and then the cloud server sends the second identification result) and feeds back the first instruction to the cloud server; for a time-based charging parking lot, the first instruction is generated when a vehicle leaves the parking lot, the third party charging system only charges the vehicle when the vehicle enters the parking lot, and the first instruction is generated when the license plate (recognition result) of the vehicle is received again; the first instructions include, but are not limited to, instructions on whether to release or not to charge the bill;
s63: the cloud server forwards the first instruction to the corresponding intelligent camera so that the intelligent camera can execute corresponding actions. Specifically, when the first instruction corresponds to release, the intelligent camera opens the linkage gate to release the vehicle; or, the display device and/or the voice broadcasting device are/is also linked to display and/or broadcast the charging bill.
As shown in fig. 2, the third embodiment discloses a cloud operation and maintenance management system of an intelligent camera, which includes: the cloud server is respectively connected with each user terminal and each intelligent camera; the user terminal is generally an intelligent terminal logging in a user account, and the intelligent camera is installed in each parking lot, wherein:
each user terminal is used for: establishing a connection with a cloud server (such as logging into the cloud server through a user account and a password), and searching the intelligent camera in the cloud server through a device identifier; the remote maintenance management operation is also used for carrying out remote maintenance management operation on the retrieved intelligent camera;
the cloud server is used for: and searching the intelligent camera corresponding to the equipment identifier, and establishing transfer connection between the user terminal and the intelligent camera.
The embodiment discloses the construction of the cloud server: the cloud server comprises a binding module, a retrieval module and a mapping module, wherein:
the binding module is used for binding a plurality of intelligent cameras and centrally managing the bound intelligent cameras;
the searching module is used for inquiring the addresses of the intelligent cameras corresponding to the equipment identifiers in the local area network in the plurality of intelligent cameras bound by the binding module;
the mapping module is used for configuring a mapping port for the user terminal, wherein the mapping port is mapped to the address retrieved by the retrieving module; the user terminal establishes access connection with the corresponding intelligent camera through the mapping port.
In the specific implementation, the searching module selects PDNS, the mapping module is an STP connected with the PDNS, and when the searching module searches the address of the intelligent camera, the searching module informs the STP serving the intelligent camera to allocate a mapping port for the intelligent camera.
The embodiment discloses a centralized management scheme of binding modules for each intelligent camera in the above embodiment:
the binding module comprises a registration unit, a grouping unit and a binding unit, wherein:
the registration unit is used for registering a corresponding user account for the user, wherein the registration can be active registration or registration according to a registration request of the user; the corresponding operation and maintenance party is that the user account is divided into corresponding user authority levels;
the grouping unit is used for setting grouping management for each user account;
the binding unit is used for binding the intelligent cameras to the grouping of the corresponding user accounts according to the parking lot to which the intelligent cameras belong. The grouping here is a grouping set by the grouping unit for each user account.
In one embodiment, each smart camera actively reports operation data to the cloud server and/or the user account to which it belongs when a fault occurs. In a specific embodiment, the operation data includes, but is not limited to, operation log, and fault early warning information, where the operation log may include CPU, memory, cache, network connection status, SD card information, and the like, and the fault early warning information may include information such as video screen blocking, abnormal memory, and excessive CPU occupation.
The fourth embodiment discloses a parking lot charging system, which is based on the cloud operation and maintenance management system of the intelligent camera in the third embodiment, wherein:
each intelligent camera is used for capturing license plate images of vehicles and obtaining a first recognition result according to the license plate images; uploading the first identification result and the license plate image to a cloud server; executing corresponding actions according to a first instruction issued by the cloud server;
and the cloud server further transmits the first instruction to the intelligent camera according to the first identification result and/or the license plate image uploaded by the intelligent camera. And the cloud server performs unified and centralized management and calculation, so that cloud end of the whole parking lot system is realized.
This embodiment discloses another configuration of the cloud server in the previous embodiment:
the cloud server is connected with a third party charging system and is used for sending the first identification result uploaded by the intelligent camera to the third party charging system; or the cloud server user identifies the license plate image uploaded by the intelligent camera to obtain a second identification result, and the second identification result is sent to a third party charging system; the first instruction is also used for sending the first instruction fed back by the third charging system to the corresponding intelligent camera so as to enable the intelligent camera to execute corresponding actions; based on the secondary identification of the license plate image by the cloud server, the accuracy rate of license plate identification can be effectively improved; and the cloud server cooperates the received identification result with a third party charging system to form a closed loop for parking lot management. And the original local operation of the parking lot is migrated to cloud operation, so that the management efficiency of the parking lot is improved, and the operation cost is reduced.
The third party charging system is used for generating the first instruction and feeding back the first instruction to the cloud server according to the received first identification result or second identification result (the cloud server sends the first identification result, and the cloud server sends the second identification result according to the first identification result and the second identification result). For a time-based charging parking lot, the first instruction is generated when a vehicle leaves the parking lot, namely, when the vehicle license plate is received for the second time, when the vehicle enters the parking lot, the third party charging system only charges the vehicle, and when the license plate (recognition result) of the vehicle is received again, the first instruction is generated; the first instructions include, but are not limited to, instructions on whether to release or not and billing bills.
The embodiment discloses the constitution of the intelligent camera:
the intelligent camera comprises an image grabbing module, an identification module, a communication module and an execution module which are connected in sequence, wherein the image grabbing module is used for grabbing images of a passing car; generally, the image capturing module captures a live image in real time, performs deep learning on the captured image, judges whether the captured image contains a license plate, and captures an image at the moment as a license plate image if the captured image contains the license plate: in general, a license plate has a certain standard, and deep learning of the standard based on a neural network can judge whether a certain area in an image is a license plate, if so, the image at the moment is captured. The identification module is used for identifying license plates in the images captured by the image capturing module and identifying a first identification result. The communication module is used for sending and receiving information/instructions. The execution module executes the instruction received by the communication module, specifically, when the first instruction corresponds to release, the execution module opens a linkage gate to release the vehicle; or, the display device and/or the voice broadcasting device are/is also linked to display and/or broadcast the charging bill.
In specific implementation, the device identifier in the design can select the S/N code of the intelligent camera. The S/N codes of the intelligent cameras can be directly obtained on the machine body (generally an adhered label) of the equipment, can also be obtained in equipment information when the equipment is used for hanging up the test/debugging of the cameras in the operation and maintenance direction, and can also be obtained in batches for a plurality of intelligent cameras which are simultaneously subjected to networking test.
The invention is not limited to the specific embodiments described above. The invention extends to any novel one, or any novel combination, of the features disclosed in this specification, as well as to any novel one, or any novel combination, of the steps of the method or process disclosed.

Claims (6)

1. The cloud operation and maintenance management method of the intelligent camera is applied to a parking lot management system, and the system comprises a cloud server, a plurality of intelligent cameras and a plurality of user terminals; characterized in that the method comprises the following steps:
s1: the user terminal establishes connection with the cloud server, and the intelligent camera is searched in the cloud server through the equipment identifier;
s2: the cloud server establishes transfer connection between the user terminal and the intelligent camera corresponding to the equipment identifier, and the cloud server comprises:
s21: the cloud server binds a plurality of intelligent cameras, and the intelligent cameras of concentrated management binding include:
s211: registering a plurality of user accounts on a cloud server; s212: setting grouping management for each user account;
s213: the cloud server binds the equipment identifiers of the intelligent cameras to the groupings of the corresponding user accounts according to the parking lot to which the intelligent cameras belong; s214: when an intelligent camera bound to the cloud server sends a fault, the intelligent camera actively reports operation data to the cloud server and/or a user account to which the cloud server belongs;
s22: the cloud server inquires the address of the corresponding intelligent camera in the local area network according to the equipment identifier retrieved by the user terminal, and S23: the cloud server configures a mapping port mapped to an address in the local area network for the user terminal; the user terminal establishes access connection with the corresponding intelligent camera through the mapping port; specifically, the user terminal is connected with the PDNS, the PDNS receives the search of the user terminal for the equipment identifier, searches the STP serving the corresponding intelligent camera according to the equipment identifier searched by the user terminal, notifies the STP to allocate a mapping port for the intelligent camera, and the user terminal directly interacts with the intelligent camera in the local area network through the mapping port;
s3: and the user terminal performs remote maintenance management operation on the intelligent camera.
2. A parking lot charging method based on the cloud operation and maintenance management method of the intelligent camera according to claim 1, characterized by comprising the following steps in parallel with the S1-S3:
s4: capturing a license plate image of a vehicle by an intelligent camera, and obtaining a first recognition result according to the license plate image;
s5: the intelligent camera uploads the first identification result and the license plate image to a cloud server;
s6: and the cloud server issues a first instruction to the intelligent camera according to the received first identification result and/or license plate image so as to enable the intelligent camera to execute corresponding actions.
3. The parking lot charging method as claimed in claim 2, wherein the S6 includes:
s61: the cloud server forwards the first identification result to a third party charging system; or the cloud server identifies the license plate image to obtain a second identification result, and the second identification result is sent to a third party charging system;
s62: the third party charging system generates a first instruction according to the received first identification result or second identification result and feeds the first instruction back to the cloud server;
s63: the cloud server forwards the first instruction to the corresponding intelligent camera so that the intelligent camera can execute corresponding actions.
4. The cloud operation and maintenance management system of the intelligent camera comprises a cloud service, a plurality of user terminals and a plurality of intelligent cameras, wherein the cloud server is respectively connected with each user terminal and each intelligent camera; it is characterized in that the method comprises the steps of,
each user terminal is used for: establishing connection with a cloud server, and searching an intelligent camera in the cloud server through a device identifier; the remote maintenance management operation is also used for carrying out remote maintenance management operation on the retrieved intelligent camera;
the cloud server is used for: searching an intelligent camera corresponding to the equipment identifier, and establishing transfer connection between the user terminal and the intelligent camera;
the cloud server comprises a binding module, a retrieval module and a mapping module, wherein:
the binding module is used for binding a plurality of intelligent cameras and centrally managing the bound intelligent cameras; the binding module comprises a registration unit, a grouping unit and a binding unit, wherein: the registration unit is used for registering a corresponding user account for the user; the grouping unit is used for setting grouping management for each user account; the binding unit is used for binding the equipment identifiers of the intelligent cameras to the groups of the corresponding user accounts according to the parking lot to which the intelligent cameras belong, and when the intelligent cameras bound to the cloud server send faults, the intelligent cameras actively report operation data to the cloud server and/or the user accounts to which the intelligent cameras belong;
the searching module is used for inquiring the addresses of the intelligent cameras corresponding to the equipment identifiers in the local area network in the plurality of intelligent cameras bound by the binding module; the mapping module is used for configuring a mapping port for the user terminal, wherein the mapping port is mapped to the address retrieved by the retrieving module; the searching module selects PDNS, the mapping module is STP connected with the searching module, and when the module searches the address of the intelligent camera, the module notifies the STP serving the intelligent camera to allocate a mapping port for the intelligent camera;
the user terminal establishes access connection with the corresponding intelligent camera through the mapping port.
5. A parking lot charging system based on the cloud operation and maintenance management system of the intelligent camera as claimed in claim 4, wherein,
each intelligent camera is used for capturing license plate images of vehicles and obtaining a first recognition result according to the license plate images; uploading the first identification result and the license plate image to a cloud server; executing corresponding actions according to a first instruction issued by the cloud server;
and the cloud server further transmits the first instruction to the intelligent camera according to the first identification result and/or the license plate image uploaded by the intelligent camera.
6. The system of claim 5, wherein the cloud server is connected with a third party charging system, and the cloud server is configured to send the first identification result uploaded by the smart camera to the third party charging system; or the cloud server user identifies the license plate image uploaded by the intelligent camera to obtain a second identification result, and the second identification result is sent to a third party charging system; the first instruction is also used for sending the first instruction fed back by the third charging system to the corresponding intelligent camera so as to enable the intelligent camera to execute corresponding actions;
the third party charging system is used for generating the first instruction and feeding the first instruction back to the cloud server according to the received first identification result or the second identification result.
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