CN111083176A - Cloud self-adaptive online method and device for monitoring camera - Google Patents
Cloud self-adaptive online method and device for monitoring camera Download PDFInfo
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- CN111083176A CN111083176A CN201811212675.7A CN201811212675A CN111083176A CN 111083176 A CN111083176 A CN 111083176A CN 201811212675 A CN201811212675 A CN 201811212675A CN 111083176 A CN111083176 A CN 111083176A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention discloses a self-adaptive online method and a self-adaptive online device for a cloud end of a monitoring camera, wherein the monitoring camera receives cloud account information issued by management equipment, stores the cloud account information in the local, and sends the cloud account information to a cloud end server when detecting that the management equipment is in fault and can access the cloud end server, so that the cloud end server adds the monitoring camera to a stored equipment list when judging that the monitoring camera is legal, and the cloud end server records registration types and state information of the management equipment and the monitoring camera in the equipment list and feeds back the equipment list to a user; and finally, receiving a service request sent to the user according to the fed back equipment list after the user logs in the cloud server, and responding. According to the technical scheme of the invention, when the management equipment is in failure, the user can still request and receive the alarm live, so that the user loss is reduced, and the user experience is enhanced. User configuration is not needed, user operation time is saved, and labor and time cost of a user is reduced.
Description
Technical Field
The invention belongs to the technical field of video monitoring, and particularly relates to a self-adaptive online method and device for a monitoring camera cloud.
Background
Video monitoring is an important component of a safety precaution system, and is widely applied to many occasions due to intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computers, networks, image processing and transmission technologies, the popularization trend of video monitoring is more and more obvious. The video monitoring system is started to be applied to numerous occasions such as companies, families, shops and the like for safety precaution, a typical small video monitoring system is shown in fig. 1, a monitoring camera IPC1, an IPC2 and a network video recorder NVR are connected to a router, the router is connected to a wide area network, a cloud server is deployed on the wide area network, a user logs in the cloud server through a mobile client, videos on the NVR can be checked in real time, and real-time monitoring is achieved.
In the networking environment shown in fig. 1, as long as in the wide area network environment, live NVR can be checked anytime and anywhere through the mobile phone APP. However, in an actual application scenario, abnormal situations such as a shutdown, a power outage, a network outage and the like of the NVR may occur, so that live scenes and videos cannot be checked, and at this time, the NVR and the environment thereof need to be repaired for recovery. The live pictures and videos of the IPC under the NVR can be checked again at the mobile phone end after the problem is solved, and the normal use of the user is interrupted during the problem of the NVR.
Disclosure of Invention
The invention aims to provide a self-adaptive online method and a self-adaptive online device for a cloud of a monitoring camera, which are used for a user to access a cloud server through a mobile client and directly check an IPC live picture under the condition of NVR fault, so that the condition that the live picture cannot be checked due to the fact that NVR cannot be accessed is avoided.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a monitoring camera cloud self-adaptive online method is characterized in that a monitoring camera is connected to a management device, a user logs in a cloud server located in a wide area network to access the monitoring camera, and the monitoring camera cloud self-adaptive online method is applied to the monitoring camera and comprises the following steps:
receiving cloud account information sent by the management equipment, and storing the cloud account information in local;
when a management device fault is detected and the management device can be accessed to a cloud server, the cloud account information is sent to the cloud server, so that the cloud server can add a monitoring camera to a stored device list when judging that the monitoring camera is legal, the cloud server records registration types and state information of the management device and the monitoring camera in the device list, and feeds back the device list to a user;
and receiving a service request sent to the user according to the fed back equipment list after the user logs in the cloud server, and responding.
Further, when detecting that the management device is out of order and being able to access the cloud server, wherein detecting that the management device is out of order includes:
and if the alarm cancellation subscription message sent by the management equipment is not received and no keep-alive information is subsequently sent, the management equipment is considered to be in fault.
Further, when detecting that management device trouble and self can access the cloud end server, wherein, judge whether self can access the cloud end server, include:
and sending a message to the cloud server, judging whether a response of the cloud server is received, and judging that the cloud server can be accessed after the response message is received.
Further, the aging time of the monitoring camera is set in the device list, and the cloud self-adaptive online method of the monitoring camera further comprises the following steps:
receiving an aging time identification message of the cloud server, responding so that the aging time is updated when the cloud server receives the response message, otherwise, setting the monitoring camera to be offline in the equipment list when the aging time is up, and clearing offline items;
and after detecting that the management equipment is on line, the management equipment does not respond to the message from the cloud server.
The invention also provides a monitoring camera cloud self-adaptive online method, wherein the monitoring camera is accessed to the management equipment, a user logs in a cloud server located in a wide area network to access the monitoring camera, and the monitoring camera cloud self-adaptive online method is applied to the cloud server and comprises the following steps:
receiving cloud account information sent by a monitoring camera when the monitoring camera detects a fault of a management device and can access a cloud server, wherein the cloud account information is issued to the monitoring camera by the management device, the monitoring camera is added into a stored device list when the monitoring camera is judged to be legal, and the registration type and state information of the management device and the monitoring camera are recorded in the device list;
and receiving the login of the user, and feeding back an equipment list to the user so that the user can send a service request to the monitoring camera according to the fed-back equipment list.
Further, when the surveillance camera detects a management device fault and can access the cloud server, the surveillance camera detects the management device fault and includes:
and if the alarm cancellation subscription message sent by the management equipment is not received and no keep-alive information is subsequently sent, the management equipment is considered to be in fault.
Further, when the surveillance camera detects that the management device is out of order and can access the cloud server by itself, wherein, judge whether can access the cloud server by itself, include:
and sending a message to the cloud server, judging whether a response of the cloud server is received, and judging that the cloud server can be accessed after the response message is received.
Further, the aging time of the monitoring camera is set in the device list, and the cloud self-adaptive online method of the monitoring camera further comprises the following steps:
and the cloud server sends an aging time identification message to the monitoring camera, updates the aging time when receiving the response message, and sets the monitoring camera to be offline in the equipment list when the aging time is up, and eliminates the offline list items.
The invention also provides a monitoring camera cloud self-adaptive online device, wherein the monitoring camera is accessed to the management equipment, a user logs in a cloud server located in a wide area network to access the monitoring camera, the monitoring camera cloud self-adaptive online device is applied to the monitoring camera and comprises a processor and a nonvolatile memory storing a plurality of computer instructions, and the computer instructions are executed by the processor to realize the monitoring camera cloud self-adaptive online method applied to the monitoring camera.
The invention further provides a monitoring camera cloud self-adaptive online device, the monitoring camera is connected to the management equipment, a user logs in a cloud server located in a wide area network to access the monitoring camera, the monitoring camera cloud self-adaptive online device is applied to the cloud server and comprises a processor and a nonvolatile memory storing a plurality of computer instructions, and the computer instructions are executed by the processor to realize the monitoring camera cloud self-adaptive online method applied to the cloud server.
According to the self-adaptive online method and device for the cloud end of the monitoring camera, the monitoring camera receives cloud account information of a management device logging in a cloud server, and sends the cloud account information to the cloud server when the monitoring camera detects that the management device is in failure and can access the cloud server, so that the self-adaptive online of the monitoring camera on the cloud end is realized. According to the technical scheme of the invention, when the management equipment is in failure, the user can still request and receive the alarm live, so that the user loss is reduced, and the user experience is enhanced. User configuration is not needed, user operation time is saved, and labor and time cost of a user is reduced.
Drawings
FIG. 1 is a schematic diagram of a video surveillance system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a cloud-adaptive online method for a surveillance camera according to the present invention;
FIG. 3 is a flowchart illustrating NVR fault determination according to an embodiment of the present invention;
fig. 4 is a flowchart of determining whether the IPC can access the cloud server according to the embodiment of the present invention.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the drawings and examples, which should not be construed as limiting the present invention.
The technical scheme of the invention is that the video monitoring network shown in fig. 1 is taken as an example, the number of NVRs and IPCs is not limited, the monitoring cameras IPC1, IPC2 and the network video recorder NVR are connected to a router, the router is connected to a wide area network, a cloud server is deployed on the wide area network, and a user logs in the cloud server through a mobile client, so that the video on the NVR can be checked in real time, and real-time monitoring is realized. In the following embodiments, the network hard disk recorder is described by using a management device, and in the field, the management device may also be a hard disk recorder DVR, and other devices for managing IPC.
As shown in fig. 2, a cloud adaptive online method for a surveillance camera includes:
receiving cloud account information sent by the management equipment, and storing the cloud account information in local;
when a management device fault is detected and the management device can be accessed to a cloud server, cloud account information is sent to the cloud server, so that the cloud server can add a monitoring camera to a stored device list when judging that the monitoring camera is legal, the cloud server records registration types and state information of the management device and the monitoring camera in the device list, and feeds back the device list to a user;
and receiving a service request sent to the user according to the fed back equipment list after the user logs in the cloud server, and responding.
Specifically, taking the video monitoring system of fig. 1 as an example, IPCs 1 and 2 need to know the relevant information (address or domain name information, etc.) of the cloud server and the relevant information (account password, etc.) of the NVR logging in the cloud server, which are collectively referred to as cloud account information in this embodiment. After the NVR registers the cloud server and is on line, the cloud account information is encrypted and transmitted to the IPC, and the IPC records and stores the cloud account information locally; and when the NVR is changed, new cloud account information needs to be sent to the IPC.
In the implementation, when the state of the NVR access cloud server changes, the state is updated, the latest cloud account information is encrypted and issued to the IPC, the IPC carries out updating record, and a special field is set in an IPC configuration file to store the received cloud account information.
The IPC of this embodiment needs to be able to detect whether the management device is faulty, and when the management device is faulty, the cloud server that can be on-line adaptively. For this reason, the present embodiment may detect the state of the NVR by periodically accessing the NVR, and determine whether the NVR fails.
The following technical scheme can be adopted to detect whether NVR fails or not: in an embodiment of the present technical solution, as shown in fig. 3, IPC determines whether NVR fails or not through an alarm subscription and keep-alive information. After the IPC is accessed into the NVR, the NVR periodically performs alarm subscription and sends keep-alive information to the IPC. The IPC receives the alarm subscription and the keep-alive information, if the alarm subscription is normal and the IPC is keep-alive, the IPC and the NVR are judged to be normal in interaction and have no fault; if the IPC receives a warning subscription cancellation message sent by the NVR and no keep-alive information exists subsequently, the IPC is considered to be normally deleted by the NVR; and if the IPC does not receive the warning cancellation subscription message sent by the NVR and no keep-alive information exists subsequently, the NVR is considered to be in fault.
After the IPC detects that the NVR has a fault, the IPC needs to be self-adaptive to an online cloud server. First, whether the IPC can be connected to the cloud server needs to be detected, because the IPC is often located in an intranet, and the cloud server is located in a wide area network, the embodiment may first detect whether the IPC can be connected to the cloud server by the following method.
In an embodiment of the technical scheme, the IPC pings or sends a private message to communicate with the cloud server (through the cloud server address or domain name information carried by the IPC), and when the messages are communicated normally, the IPC is judged to be capable of accessing the wide area network at the moment, namely, the IPC is capable of accessing the cloud server.
For example, the IPC ping cloud server continuously tries for a set number of times, and if the IPC ping cloud server can ping, the IPC ping cloud server is considered to be able to access the IPC ping cloud server.
Or as shown in fig. 4, the IPC sends a message to the cloud server to determine whether a response from the cloud server is received. And the IPC judges that the cloud server can be accessed after receiving the response message. If the response is not received once, the set times can be tried, and if the response is not received after the set times is exceeded, the cloud server is judged to be inaccessible.
When the IPC confirms the NVR fault and can be accessed to the cloud server, a message can be sent to the cloud server, so that self-adaptive online is realized, and the cloud function of the IPC is equivalently started. The specific process is as follows:
the IPC sends a message to the cloud server, and the encrypted cloud account information is carried in the message.
Generally, after a user logs in and adds a device through a client, a cloud server creates and maintains a device list as follows:
TABLE 1
The cloud server records cloud account information of the management equipment, decrypts the cloud account information of the IPC after receiving the cloud account information, compares the received cloud account information with the originally recorded cloud account information of the management equipment, adds the IPC into an equipment list after judging the equipment to be legal, sets the registration type of the equipment to be self-adaptive, and sets the state to be on-line. Meanwhile, the management device NVR corresponding to the IPC can be set to be offline. In this embodiment, a registration type and an aging time field are added to the device list in table 1, and after receiving a device whose cloud account information sent by the IPC is determined to be valid, the cloud server adds the IPC to the device list, sets the registration type of the IPC to be adaptive, and sets the state to be online, thereby implementing the adaptive online of the IPC.
The registration types are manual and self-adaptive, and manual means that a user manually adds IPC to a cloud server; adaptation means that this IPC is adaptive online. This technical scheme sets up the registration type, is favorable to distinguishing that IPC is that manual adding to the cloud end server or the self-adaptation is on-line, to manual adding to the cloud end server, generally is not through NVR management's IPC, does not handle it in this technical scheme.
After the IPC is self-adaptive online, a user can log in the cloud server through the client, the cloud server feeds back an equipment list to the user, and the user client records the fed-back equipment list locally, so that the registration type and state information of the IPC can be seen, and when the IPC is self-adaptive online, the IPC can be directly accessed to check the live service of the IPC.
It should be noted that the cloud server may also update the state of the NVR, and after the IPC adaptation is on-line, the cloud server may set the NVR corresponding to the IPC adaptation to be off-line, or send a message to the NVR, and if the response of the NVR is not received, set the NVR to be off-line.
In order to restore the IPC to the NVR management after the NVR is restored, the cloud server further increases the aging time for the adaptive online IPC, and judges whether the IPC is continuously connected or not through the aging time. In addition, the NVR can also log in the cloud server after recovery, the state information of the NVR in the device list is updated by the cloud server, the NVR is set to be online, and the device list is fed back to the user when the user logs in the cloud server, so that the user can obtain the state information of the NVR.
In an embodiment of the present technical solution, the cloud server further sends an aging time identification message to the IPC at regular time to determine whether to update the aging time, that is:
the IPC receives an aging time identification message of the cloud server and responds;
and when the cloud server receives the response message, updating the aging time, otherwise, setting the IPC as offline and clearing the offline table entry when the aging time is up.
For example, the aging time is initially set to 90s, the cloud server sends an aging time identification message every 30s, after sending the aging time identification message, if a response is received, the aging time is updated to 90s, and if no response is received, the aging time is updated to minus 30s, that is, 60s is remained.
If the response message is not received, the IPC is restored to NVR management, no response is performed, the cloud server continuously sends the aging time confirmation message at regular time, until the aging time is 0, namely when the time reaches 90s, the aging time is up, the IPC is set to be offline, and the offline table entry is cleared.
After the IPC is set to be offline, the user cannot see the IPC and cannot directly access the IPC to view live services.
In the video monitoring system shown in fig. 1, after a user logs in a cloud server through an APP (client application), the user also obtains a current device list from the cloud server, and updates a local device list of the user.
This embodiment technical scheme has optimized this, when APP finds that there is an adaptive online IPC in the device list, APP obtains the NVR and channel information where the associated IPC is uplink, APP places the adaptive online IPC in the channel corresponding to the failed NVR in the local device list of APP itself, i.e. after APP obtains the information of NVR, find the NVR node, fill the adaptive IPC into the channel node of the NVR according to the channel number, and set the NVR (to determine as a failure) to be gray, and show an obvious failure flag, and prompt the user about the failure of this NVR and the failure time point. The APP requests for the live service and the alarm service are carried by the IPC at the moment, the APP operates the channel under the fault NVR, and the instruction is directly sent to the IPC. At this time, all the operations of APP are directly interacted with IPC through SDK, which is a mature prior art and is not described herein again.
After the user discovers the NVR fault through the APP, the user can ask a technician or the user to carry out troubleshooting, after the NVR fault is solved, the NVR fault can be on line at the cloud server again, and the NVR state is updated to be on line by the cloud server. And after the NVR fault is solved, the cloud server is on line again, and the cloud account information is updated to the IPC. And the cloud server pushes the NVR to be on-line again to the APP.
In this embodiment, the cloud server continuously and periodically detects the aging time, and when the adaptive IPC exceeds the aging time and does not respond, the state of the adaptive IPC is set to be offline, the offline adaptive entry is cleared, the redundant device is removed, and the performance pressure of the cloud server is reduced.
Accordingly, at the IPC end, the IPC of this embodiment performs the following operations: after the IPC detects that the NVR is recovered to be on-line, the IPC does not respond to the message from the cloud server any more, namely, the cloud function of the IPC is closed, the interaction with the cloud server is stopped, and the subsequent user realizes the IPC service through the NVR.
In the technical scheme, the interaction among the IPC, the NVR and the cloud server can be expanded to send messages on the basis of the prior art protocol, and can also be sent by adopting a private interface protocol, which is not limited by the invention. In one embodiment of the invention, a private LAPI (LightAPI) interface, namely a lightweight application programming interface, is adopted, and a Json format is used for encapsulating data based on an http protocol, so that the purpose of data exchange is achieved.
According to the technical scheme, the problem that once NVR faults occur in the using process of a user, the user cannot remotely watch related live events any more and cannot give an alarm at the first time is solved. According to the technical scheme of the invention, when the NVR fails, the user can still request the video on demand live and receive the alarm, so that the user loss is reduced, and the user experience is enhanced. The IPC self-adaptive environment carries out cloud online without user configuration, so that the user operation time is saved, and the labor and time cost of a user is reduced. And the APP side of the user mobile terminal can receive friendly fault prompt and does not change the original interface.
The technical scheme is that the cloud self-adaptive online method for the monitoring camera is applied to the monitoring camera in the figure 2. Similarly, the method can also be applied to a cloud server, and when the method is applied to the cloud server, the self-adaptive online method for the cloud of the monitoring camera comprises the following steps:
receiving cloud account information sent by a monitoring camera when the monitoring camera detects a fault of a management device and can access a cloud server, wherein the cloud account information is issued to the monitoring camera by the management device, the monitoring camera is added into a stored device list when the monitoring camera is judged to be legal, and the registration type and state information of the management device and the monitoring camera are recorded in the device list;
and receiving the login of the user, and feeding back an equipment list to the user so that the user can send a service request to the monitoring camera according to the fed-back equipment list.
Similarly, the aging time of the monitoring camera is set in the device list, and the self-adaptive online method for the cloud end of the monitoring camera further comprises the following steps:
and the cloud server sends an aging time identification message to the monitoring camera, updates the aging time when receiving the response message, and sets the monitoring camera to be offline in the equipment list when the aging time is up, and eliminates the offline list items.
It is easily understood that, when applied to the cloud server, the operations performed by other devices are the same as those in the embodiment shown in fig. 2, and are not described herein again.
The invention further provides a monitoring camera cloud self-adaptive online device, wherein the monitoring camera is connected to the management equipment, a user logs in a cloud server located in a wide area network to access the monitoring camera, the monitoring camera cloud self-adaptive online device is applied to the monitoring camera and comprises a processor and a nonvolatile memory storing a plurality of computer instructions, and the computer instructions are executed by the processor to realize the monitoring camera cloud self-adaptive online method applied to the monitoring camera.
The invention further provides a monitoring camera cloud self-adaptive online device, wherein the monitoring camera is connected to the management equipment, a user logs in a cloud server located in a wide area network to access the monitoring camera, the monitoring camera cloud self-adaptive online device is applied to the cloud server and comprises a processor and a nonvolatile memory storing a plurality of computer instructions, and the computer instructions are executed by the processor to realize the monitoring camera cloud self-adaptive online method applied to the cloud server.
The memory and the processor are electrically connected, directly or indirectly, to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory has stored therein a computer program executable on a processor, which implements the method in embodiments of the invention by executing the computer program stored in the memory.
The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory is used for storing programs, and the processor executes the programs after receiving the execution instructions.
The processor may be an integrated circuit chip having data processing capabilities. The processor may be a general-purpose processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and the essence of the present invention, but these corresponding changes and modifications should fall within the protection scope of the appended claims.
Claims (10)
1. A monitoring camera cloud self-adaptive online method is characterized in that the monitoring camera cloud self-adaptive online method is applied to a monitoring camera and comprises the following steps:
receiving cloud account information sent by the management equipment, and storing the cloud account information in local;
when a management device fault is detected and the management device can be accessed to a cloud server, the cloud account information is sent to the cloud server, so that the cloud server can add a monitoring camera to a stored device list when judging that the monitoring camera is legal, the cloud server records registration types and state information of the management device and the monitoring camera in the device list, and feeds back the device list to a user;
and receiving a service request sent to the user according to the fed back equipment list after the user logs in the cloud server, and responding.
2. The cloud-based adaptive online monitoring camera monitoring method according to claim 1, wherein the detecting of the management device failure when the management device failure is detected and the management device failure itself can access the cloud server comprises:
and if the alarm cancellation subscription message sent by the management equipment is not received and no keep-alive information is subsequently sent, the management equipment is considered to be in fault.
3. The cloud-adaptive online method for monitoring cameras according to claim 1, wherein when a failure of the management device is detected and the management device can access the cloud server, the determining whether the management device can access the cloud server comprises:
and sending a message to the cloud server, judging whether a response of the cloud server is received, and judging that the cloud server can be accessed after the response message is received.
4. The method for the self-adaptive online monitoring camera cloud of claim 1, wherein the device list is provided with aging time of the monitoring camera, and the method for the self-adaptive online monitoring camera cloud further comprises:
receiving an aging time identification message of the cloud server, responding so that the aging time is updated when the cloud server receives the response message, otherwise, setting the monitoring camera to be offline in the equipment list when the aging time is up, and clearing offline items;
and after detecting that the management equipment is on line, the management equipment does not respond to the message from the cloud server.
5. A monitoring camera cloud self-adaptive online method is characterized in that the monitoring camera cloud self-adaptive online method is applied to a cloud server and comprises the following steps:
receiving cloud account information sent by a monitoring camera when the monitoring camera detects a fault of a management device and can access a cloud server, wherein the cloud account information is issued to the monitoring camera by the management device, the monitoring camera is added into a stored device list when the monitoring camera is judged to be legal, and the registration type and state information of the management device and the monitoring camera are recorded in the device list;
and receiving the login of the user, and feeding back an equipment list to the user so that the user can send a service request to the monitoring camera according to the fed-back equipment list.
6. The cloud-based adaptive online monitoring camera monitoring method according to claim 5, wherein the monitoring camera detects the management device failure and is capable of accessing the cloud server, and the detecting the management device failure comprises:
and if the alarm cancellation subscription message sent by the management equipment is not received and no keep-alive information is subsequently sent, the management equipment is considered to be in fault.
7. The method as claimed in claim 5, wherein when the monitoring camera detects a failure of the management device and is capable of accessing the cloud server, the determining whether the monitoring camera is capable of accessing the cloud server comprises:
and sending a message to the cloud server, judging whether a response of the cloud server is received, and judging that the cloud server can be accessed after the response message is received.
8. The surveillance camera cloud adaptive online method of claim 5, wherein the device list is provided with aging time of surveillance cameras, and the surveillance camera cloud adaptive online method further comprises:
and the cloud server sends an aging time identification message to the monitoring camera, updates the aging time when receiving the response message, and sets the monitoring camera to be offline in the equipment list when the aging time is up, and eliminates the offline list items.
9. A monitoring camera cloud self-adaptive online device is characterized in that the monitoring camera cloud self-adaptive online device is applied to a monitoring camera and comprises a processor and a nonvolatile memory, wherein a plurality of computer instructions are stored in the nonvolatile memory, and the computer instructions are executed by the processor to realize the steps of the method in any one of claims 1 to 4.
10. A monitoring camera cloud self-adaptive online device is characterized in that the monitoring camera cloud self-adaptive online device is applied to a cloud server and comprises a processor and a nonvolatile memory, wherein the nonvolatile memory stores a plurality of computer instructions, and the computer instructions are executed by the processor to realize the steps of the method in any one of claims 5 to 8.
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