CN115426481B - 5G and artificial intelligence based gridding big data city monitoring method and system - Google Patents
5G and artificial intelligence based gridding big data city monitoring method and system Download PDFInfo
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- H—ELECTRICITY
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- 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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
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Abstract
The application relates to a 5G and artificial intelligence based gridding big data city monitoring method and system, comprising the following steps: when a calling instruction from the area management terminal is received, generating a calling request based on the calling instruction, and sending the calling request to a target area management terminal to which the monitoring video data to be called belongs; when receiving an agreement message from a target area management terminal, acquiring tag information of monitoring video data to be called from a calling instruction; the method comprises the steps that tag information is sent to a cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information; and sending the screened monitoring video data to an area management terminal which sends out the calling instruction. The video data of the city monitoring is more convenient to mutually retrieve and review among different areas, and the effect of improving the convenience of the city monitoring work is achieved.
Description
Technical Field
The application relates to the technical field of big data, in particular to a gridding big data city monitoring method and system based on 5G and artificial intelligence.
Background
With the perfection of urban planning, the monitoring range of cities is increasingly enlarged, monitoring network sites are greatly increased, and the transmission efficiency of video data is improved due to the popularization of the current 5G network, but the video data is generally managed and stored in different areas due to the limited length of video transmission cables, so that the video data among different areas are difficult to be called and referred to each other, and a data island is formed among the areas, which is inconvenient for the management of urban monitoring work, and therefore, the improvement is needed.
Disclosure of Invention
In order to enable video data of city monitoring to be more convenient to be mutually called and referred among different areas, the convenience of city monitoring work is improved; the application provides a 5G and artificial intelligence based gridding big data city monitoring method and system.
The first object of the present invention is achieved by the following technical solutions:
a gridding big data city monitoring method based on 5G and artificial intelligence comprises the following steps:
when a calling instruction from the area management terminal is received, generating a calling request based on the calling instruction, and sending the calling request to a target area management terminal to which the monitoring video data to be called belongs;
when receiving an agreement message from a target area management terminal, acquiring tag information of monitoring video data to be called from a calling instruction;
the method comprises the steps that tag information is sent to a cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information;
and sending the screened monitoring video data to an area management terminal which sends out the calling instruction.
By adopting the technical scheme, the monitoring video data are stored through the big data cloud platform, so that the memory load of each area management terminal can be effectively reduced, when the monitoring video data are required to be mutually called and referred to among different area management terminals, the area management terminal which wants to call the monitoring video data sends a call request, further sends a call instruction to the target area management terminal to which the monitoring video data belong, the target area can acquire the monitoring time data to be called, after the agreement of the target area management terminal, the big data cloud platform calls the monitoring video data based on the label information and sends the monitoring video data to the area management terminal through the label information, the call of the monitoring video data among the different area management terminals is realized, the video data of the city monitoring are mutually called and referred to more conveniently, the convenience of city monitoring work is improved, and the target area management terminal which is called the monitoring video data can acquire the specific data which are called, so that the different area management terminals can communicate conveniently.
In a preferred example, the present application: the step of generating a fetch request based on the fetch instruction when receiving the fetch instruction from the area management terminal includes:
when a calling instruction from the regional management terminal is received, acquiring identity information of the regional management terminal which sends the calling instruction;
acquiring identity information of a target area management terminal and tag information of monitoring video data to be called from a calling instruction;
and generating a calling request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be called.
By adopting the technical scheme, the access request comprises the identity information of the area management terminal and the identity information of the target area management terminal, the access of the access request and the object of the accessed monitoring video data can be clearly recorded, the access request comprises the tag information, and the target area management terminal can acquire the content of the accessed monitoring video data.
In a preferred example, the present application: the label information comprises road information and time information, the road information comprises a plurality of road section numbers, and the cloud platform screens out monitoring video data pre-bound with the label information based on the label information, and the method comprises the following steps:
the cloud platform identifies whether road information contains a road section number;
if the road information does not contain the road section number, the cloud platform screens out monitoring video data pre-bound with the road information and the time information;
and if the road information contains the road number, the cloud platform screens out the monitoring video data pre-bound with the road section number and the time information.
By adopting the technical scheme, because the monitoring video is shot by the monitoring equipment installed on the road, the monitoring video data are distinguished according to the road and time, and the longer road is divided into road section numbers, and the staff of the area management terminal can screen the monitoring video data through the information of the road, the road section and the like, so that the monitoring video data can be conveniently called.
In a preferred example, the present application: after the step of sending the screened monitoring video data to the area management terminal sending the calling instruction, the following steps are executed:
when a cache instruction sent by the area management terminal is received, caching the screened monitoring video data to the area management terminal;
acquiring the road section number and time information of the monitoring video data to generate a feedback message;
and sending the feedback message to a target area management terminal to which the monitoring video data belong.
By adopting the technical scheme, after the regional management terminal is used for calling and consulting the monitoring video data, if the requirement of caching the monitoring video data exists, a caching instruction is sent to cache the monitoring video data, and feedback information is generated and sent to the target regional management terminal, namely the target regional management terminal can know that the regional management terminal calling the monitoring video data stores the monitoring video data, so that the record of data circulation is realized, and the synchronism of the data circulation can be improved through the feedback of artificial intelligence.
In a preferred example, the present application: after the step of generating the retrieval request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be retrieved, the following steps are executed:
when the regional management terminal sends a sending instruction of a calling request, judging whether the monitoring video data to be called is preset with a reading password or not based on the tag information;
if the read password is preset, a port for inputting the read password is sent to the area management terminal;
when receiving the read password input by the area management terminal, sending a call request to the target area management terminal to which the monitoring video data to be called belongs.
By adopting the technical scheme, if the monitoring video data of certain roads and road sections relate to secret information and are inconvenient to circulate among the regional management terminals, the monitoring video data of the roads and road sections can be encrypted in advance, and if the read password is preset for the called monitoring video data, the regional management terminals can send the call request to the corresponding target regional management terminals after inputting the correct password, so that the management security of the monitoring video data is improved.
In a preferred example, the present application: when the regional management terminal sends a sending instruction of the calling request, after judging whether the monitoring video data to be called is preset with a reading password or not based on the label information, the following steps are executed:
acquiring authority information of an area management terminal sending a calling request;
judging the authority type of the authority message;
if the permission type belongs to the preset password-free permission, the access request is directly sent to a target area management terminal to which the monitoring video data to be accessed belongs.
By adopting the technical scheme, in order to facilitate the regional management terminal with specific authority to retrieve and review the monitoring video data on the basis of improving the management security of the monitoring video data, the regional management terminal with the specific authority can dispense with the step of inputting and reading the password by setting the encryption-free authority for the specific regional management terminal, such as a high-level management personnel for city monitoring, so that the regional management terminal with the encryption-free authority can directly retrieve the monitoring video data, and the retrieval of the monitoring video data is more flexible.
The second object of the present invention is achieved by the following technical solutions:
a 5G and artificial intelligence based grid big data city monitoring system comprising:
the system comprises a calling request module, a target area management terminal and a calling request module, wherein the calling request module is used for generating a calling request based on a calling instruction when receiving the calling instruction from the area management terminal, and sending the calling request to the target area management terminal to which the monitoring video data to be called belongs;
the tag acquisition module is used for acquiring tag information of the monitoring video data to be called from the calling instruction when receiving the agreement message from the target area management terminal;
the data calling module is used for sending the tag information to the cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information;
and the data sending module is used for sending the screened monitoring video data to the area management terminal which sends the calling instruction.
By adopting the technical scheme, the monitoring video data are stored through the big data cloud platform, so that the memory load of each area management terminal can be effectively reduced, when the monitoring video data are required to be mutually called and referred to among different area management terminals, the area management terminal which wants to call the monitoring video data sends a call request, further sends a call instruction to the target area management terminal to which the monitoring video data belong, the target area can acquire the monitoring time data to be called, after the agreement of the target area management terminal, the big data cloud platform calls the monitoring video data based on the label information and sends the monitoring video data to the area management terminal through the label information, the call of the monitoring video data among the different area management terminals is realized, the video data of the city monitoring are mutually called and referred to more conveniently, the convenience of city monitoring work is improved, and the target area management terminal which is called the monitoring video data can acquire the specific data which are called, so that the different area management terminals can communicate conveniently.
Optionally, the call request module includes:
the identity acquisition sub-module is used for acquiring the identity information of the regional management terminal which sends out the calling instruction when receiving the calling instruction from the regional management terminal;
the tag acquisition sub-module is used for acquiring the identity information of the target area management terminal and the tag information of the monitoring video data to be acquired from the acquisition instruction;
and generating a calling request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be called.
The third object of the present application is achieved by the following technical solutions:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the 5G and artificial intelligence based grid big data city monitoring method described above when the computer program is executed.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the 5G and artificial intelligence based meshed big data city monitoring method described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the large data cloud platform invokes the monitoring video data based on the tag information by identifying the tag information of the monitoring video data and sends the monitoring video data to the regional management terminals, so that the invoking of the monitoring video data among different regional management terminals is realized, the video data of city monitoring are mutually invoked and referred to more conveniently, the convenience of city monitoring work is improved, the target regional management terminal of the invoked monitoring video data can acquire the specific invoked data, and the communication among different regional management terminals is facilitated;
2. the calling request comprises identity information of the regional management terminal and the target regional management terminal, can clearly record the calling of the calling request and the object of the called monitoring video data, and the calling request comprises label information, and the target regional management terminal can acquire the content of the called monitoring video data;
3. because the monitoring video is shot by monitoring equipment arranged on the road, the monitoring video data are distinguished according to the road and the time, and the longer road is divided into road section numbers, and the staff of the regional management terminal can screen the monitoring video data through the information of the road, the road section and the like, so that the monitoring video data can be conveniently called;
4. if the read password is preset in the invoked monitoring video data, the area management terminal can send the invoking request to the corresponding target area management terminal after inputting the correct password, so that the management security of the monitoring video data is improved.
Drawings
FIG. 1 is a flow chart of one implementation of an embodiment of a 5G and artificial intelligence based gridding big data city monitoring method of the present application;
FIG. 2 is another implementation flow diagram of an embodiment of a 5G and artificial intelligence based gridding big data city monitoring method of the present application;
FIG. 3 is another implementation flow chart of an embodiment of a 5G and artificial intelligence based gridding big data city monitoring method of the present application;
FIG. 4 is another implementation flow chart of an embodiment of a gridding big data city monitoring method based on 5G and artificial intelligence of the present application
FIG. 5 is a schematic block diagram of a 5G and artificial intelligence based grid-like big data city monitoring system of the present application
Fig. 6 is a functional block diagram of a computer device of the present application.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-6.
In the embodiment, as shown in fig. 1, the application discloses a gridding big data city monitoring method based on 5G and artificial intelligence, which specifically includes the following steps:
s10: when a calling instruction from the area management terminal is received, generating a calling request based on the calling instruction, and sending the calling request to a target area management terminal to which the monitoring video data to be called belongs;
in this embodiment, the city is divided into area management terminals by taking a zone level as a unit, each zone is provided with an area management terminal, the area management terminal is controlled by related staff of a traffic department, the area management terminal is a PC end, and the PC end is configured with a plurality of display screens for displaying pictures shot by the monitoring device. The instruction for calling is an instruction for requesting to call the monitoring video data, and the request for calling contains the related information of the monitoring video data to be called. The target area management terminal refers to a target object from which the monitoring video data is called, and the area management terminal from which the monitoring video data is called is marked as the target area management terminal among the plurality of area management terminals.
Specifically, when a call instruction sent by a worker through the area management terminal is received, based on the call instruction, the worker inputs relevant data of the called monitoring video data through the area management terminal, further generates a call request, and sends the call request to a target area management terminal to which the monitoring video data to be called belongs.
S20: when receiving an agreement message from a target area management terminal, acquiring tag information of monitoring video data to be called from a calling instruction;
in this embodiment, the grant message may be sent by the staff member through the area management terminal, and in other embodiments, the grant message may be automatically identified and sent by the system, to identify, i.e. identify, the rights of the area management terminal to which the surveillance video data is to be transferred.
The tag information refers to filtering condition information capable of representing the monitoring video data.
Specifically, when the target area management terminal receives the access request, a worker of the target area management terminal sends an agreement message through the target area management terminal; and further acquiring label information capable of screening the monitoring video data to be called from the calling instruction.
S30: the method comprises the steps that tag information is sent to a cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information;
in this embodiment, the monitoring videos acquired by each region are stored in the cloud platform, so that the video storage amount of the region management terminal can be reduced.
Specifically, the tag information is sent to a cloud platform, and the cloud platform screens out monitoring video data conforming to the tag information through identifying the tag information.
S40: and sending the screened monitoring video data to an area management terminal which sends out the calling instruction.
Specifically, the monitoring video data screened by the cloud platform and matched with the tag information is sent to the regional management terminal which sends out the calling instruction, so that calling and consulting of the monitoring video data among different regional management terminals are realized.
In one embodiment, referring to fig. 2, when a call instruction from the area management terminal is received in step S1O, a step of generating a call request based on the call instruction includes:
s11: when a calling instruction from the regional management terminal is received, acquiring identity information of the regional management terminal which sends the calling instruction;
s12: acquiring identity information of a target area management terminal and tag information of monitoring video data to be called from a calling instruction;
s13: and generating a calling request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be called.
In this embodiment, the identity information is used to distinguish the identities of the area management terminals, where the identity information is the name of the area where the area management terminal is located, for example, the guangzhou city river area, the guangzhou city viewful area, and the like.
Specifically, when a call instruction from the regional management terminal is received, firstly, the identity information of the regional management terminal sending the call instruction is obtained, then the identity information of the target to be called and the tag information related to the monitoring video data are obtained from the call instruction, and a call request is generated based on the identity information of the regional management terminal, the identity information of the target regional management terminal and the tag information of the monitoring video data to be called, namely, the call request comprises a caller, a callee and related information of call content, so that the record of the call request is facilitated.
In an embodiment, referring to fig. 3, the tag information includes road information and time information, the road information includes a number of road segment numbers, and step S30 includes:
s31: the cloud platform identifies whether road information contains a road section number;
s32: if the road information does not contain the road section number, the cloud platform screens out monitoring video data pre-bound with the road information and the time information;
s33: and if the road information contains the road number, the cloud platform screens out the monitoring video data pre-bound with the road section number and the time information.
In this embodiment, the road information refers to a road where the monitoring device capturing the monitoring video data is located, and because the road information is wider in range, the road information is divided according to road segments, so that the area management terminal can conveniently and accurately retrieve and review the monitoring video data of a certain road segment, the efficiency of retrieving and review the monitoring video data is improved, and the time information refers to the time when the monitoring video data is generated.
Specifically, when the cloud platform receives the tag information, judging whether the road information and the time information in the tag information and judging whether the road information contains the road section number input by the area management terminal or not, if the road information contains the road section number in a summarizing mode, the cloud platform screens out the monitoring video data based on the road section number and the time information, and if the road information does not contain the road number, namely, the area management terminal only inputs the road information, the cloud platform screens out the monitoring video data based on the road information and the time information.
In one embodiment, referring to fig. 4, after step S40, the following steps are performed:
s41: when a cache instruction sent by the area management terminal is received, caching the screened monitoring video data to the area management terminal;
s42: acquiring the road section number and time information of the monitoring video data to generate a feedback message;
s43: and sending the feedback message to a target area management terminal to which the monitoring video data belong.
In this embodiment, the cache instruction is an instruction sent by the area management terminal to cache the monitoring video data screened by the cloud platform to the local PC end; the feedback message contains road information, road section numbers and time data.
Specifically, in order to facilitate repeated review of the invoked monitoring video data, the area management terminal can cache the monitoring video data screened by the cloud platform to the area management terminal by sending a cache instruction, further, after the monitoring video data is cached, feedback information is sent out at the same time, and the feedback information is sent to the target area management terminal to which the monitoring video data belongs, namely, a manager of the target area management terminal can know the specific condition that the monitoring video data is invoked and cached by other area management terminals.
In one embodiment, after step S13, the following steps are performed:
s14: when the regional management terminal sends a sending instruction of a calling request, judging whether the monitoring video data to be called is preset with a reading password or not based on the tag information;
s15: if the read password is preset, a port for inputting the read password is sent to the area management terminal;
s16: when receiving the read password input by the area management terminal, sending a call request to the target area management terminal to which the monitoring video data to be called belongs.
In this embodiment, the read password is usually a text password, the read password is set in advance by a worker, and the object set by the read password may be a certain target area management terminal, or may be monitoring video data corresponding to certain road section information, monitoring video data corresponding to a certain road number, and monitoring video data corresponding to certain time information, where the area management terminal can input the read password through an input port of a PC interface.
Specifically, when the area management terminal issues the call request, it is first determined whether a read password is preset based on the identity information of the target area management terminal in the tag information and the road information, the road section number, and the time information of the monitoring video data. Further, if the read password is preset, a port for inputting the read password is sent to the area management terminal, after a worker inputs a text password through an interface of the area management terminal, a calling request can be sent to the target area management terminal, and if the input read password is wrong, the calling request cannot be sent to the target area management terminal, so that the management security of the monitoring video data is improved.
In one embodiment, after step S14, the following steps are further performed:
s141: acquiring authority information of an area management terminal sending a calling request;
s142: judging the authority type of the authority message;
s143: if the permission type belongs to the preset password-free permission, the access request is directly sent to a target area management terminal to which the monitoring video data to be accessed belongs.
In this embodiment, the authority information is set in advance by a worker, for example, the city monitoring management department includes a high-level management department with a larger authority and a region management department with a smaller authority, so that the region management terminal controlled by the high-level management department can set the privacy-free authority, and the region management terminal controlled by the region management department does not set the privacy-free authority, so that the high-level management department can conveniently review the monitoring video data of all the region management terminals and can also prevent the monitoring video data with confidential property from being viewed between the region management departments.
The rights type includes a password-free right and a non-password-free right.
Specifically, the authority information of the area management terminal sending the access request is obtained, the authority type of the authority message is judged, if the authority type belongs to the preset password-free authority type, the port for inputting the read password is not sent to the area management terminal, the target area management terminal directly receives the access request, and if the authority type is identified to be the password-free authority type, the port for inputting the read password is sent to the area management terminal.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
In one embodiment, a 5G and artificial intelligence based gridding big data city monitoring system is provided, which corresponds to the 5G and artificial intelligence based gridding big data city monitoring method in the above embodiment one by one. As shown in fig. 5, the 5G and artificial intelligence based gridding big data city monitoring system includes:
the system comprises a calling request module, a target area management terminal and a calling request module, wherein the calling request module is used for generating a calling request based on a calling instruction when receiving the calling instruction from the area management terminal, and sending the calling request to the target area management terminal to which the monitoring video data to be called belongs;
the tag acquisition module is used for acquiring tag information of the monitoring video data to be called from the calling instruction when receiving the agreement message from the target area management terminal;
the data calling module is used for sending the tag information to the cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information;
and the data sending module is used for sending the screened monitoring video data to the area management terminal which sends the calling instruction.
Optionally, the call request module includes:
the identity acquisition sub-module is used for acquiring the identity information of the regional management terminal which sends out the calling instruction when receiving the calling instruction from the regional management terminal;
the tag acquisition sub-module is used for acquiring the identity information of the target area management terminal and the tag information of the monitoring video data to be acquired from the acquisition instruction;
and generating a calling request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be called.
Optionally, the tag information includes road information and time information, the road information includes a plurality of road section numbers, and the data retrieving module includes:
the road information identification sub-module is used for identifying whether road section numbers are contained in the road information or not through the cloud platform;
the first screening sub-module is used for screening out monitoring video data pre-bound with the road information and the time information if the road information does not contain the road section number;
and the second screening sub-module is used for screening the monitoring video data pre-bound with the road section number and the time information by the cloud platform if the road information contains the road number.
Optionally, the method further comprises:
the cache module is used for caching the screened monitoring video data to the regional management terminal when receiving a cache instruction sent by the regional management terminal;
the feedback generation module is used for acquiring the road section number and the time information of the monitoring video data to generate a feedback message;
and the feedback sending module is used for sending the feedback information to the target area management terminal to which the monitoring video data belong.
Optionally, the method further comprises:
the password judging module is used for judging whether the monitoring video data to be called is preset with a reading password or not based on the tag information when the regional management terminal sends a sending instruction of the call request;
the password acquisition module is used for sending a port for inputting the read password to the area management terminal if the read password is preset;
and the password verification module is used for sending a call request to the target area management terminal to which the monitoring video data to be called belongs when receiving the read password input by the area management terminal.
Optionally, the method further comprises:
the permission judging module is used for acquiring permission information of the regional management terminal sending the calling request;
the permission type module is used for judging the permission type of the permission message;
and the encryption-free module is used for directly sending the invoking request to the target area management terminal to which the monitoring video data to be invoked belongs if the permission type belongs to the preset encryption-free permission.
Specific limitations regarding 5G and artificial intelligence based meshed big data city monitoring systems may be found in the above definitions of 5G and artificial intelligence based meshed big data city monitoring methods, and are not described in detail herein. The modules in the 5G and artificial intelligence based gridding big data city monitoring system can be fully or partially realized by software, hardware and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing tag information, identity information and a monitoring video module cached to the local. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a 5G and artificial intelligence based gridding big data city monitoring method.
In one embodiment, a computer device is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing a 5G and artificial intelligence based grid big data city monitoring method when the computer program is executed.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon that when executed by a processor implements a 5G and artificial intelligence based grid big data city monitoring method.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (8)
1. A gridding big data city monitoring method based on 5G and artificial intelligence is characterized by comprising the following steps:
when a calling instruction from the area management terminal is received, generating a calling request based on the calling instruction, and sending the calling request to a target area management terminal to which the monitoring video data to be called belongs;
when receiving an agreement message from a target area management terminal, acquiring tag information of monitoring video data to be called from a calling instruction;
the method comprises the steps that tag information is sent to a cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information;
sending the screened monitoring video data to an area management terminal which sends out the calling instruction;
the label information comprises road information and time information, the road information comprises a plurality of road section numbers, and the cloud platform screens out monitoring video data pre-bound with the label information based on the label information, and the method comprises the following steps:
the cloud platform identifies whether road information contains a road section number;
if the road information does not contain the road section number, the cloud platform screens out monitoring video data pre-bound with the road information and the time information;
if the road information contains the road section number, the cloud platform screens out monitoring video data pre-bound with the road section number and the time information;
after the step of sending the screened monitoring video data to the area management terminal sending the calling instruction, the following steps are executed:
when a cache instruction sent by the area management terminal is received, caching the screened monitoring video data to the area management terminal;
acquiring time information and road section numbers of the monitoring video data or generating feedback information by the time information and road information;
and sending the feedback message to a target area management terminal to which the monitoring video data belong.
2. The 5G and artificial intelligence based gridding big data city monitoring method according to claim 1, wherein: the step of generating a fetch request based on the fetch instruction when receiving the fetch instruction from the area management terminal includes:
when a calling instruction from the regional management terminal is received, acquiring identity information of the regional management terminal which sends the calling instruction;
acquiring identity information of a target area management terminal and tag information of monitoring video data to be called from a calling instruction;
and generating a calling request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be called.
3. The 5G and artificial intelligence based gridding big data city monitoring method according to claim 2, wherein: after the step of generating the retrieval request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be retrieved, the following steps are executed:
when the regional management terminal sends a sending instruction of a calling request, judging whether the monitoring video data to be called is preset with a reading password or not based on the tag information;
if the read password is preset, a port for inputting the read password is sent to the area management terminal;
when receiving the read password input by the area management terminal, sending a call request to the target area management terminal to which the monitoring video data to be called belongs.
4. A 5G and artificial intelligence based gridding big data city monitoring method according to claim 3, characterized by: when the regional management terminal sends a sending instruction of the calling request, after judging whether the monitoring video data to be called is preset with a reading password or not based on the label information, the following steps are executed:
acquiring authority information of an area management terminal sending a calling request;
judging the authority type of the authority message;
if the permission type belongs to the preset password-free permission, the access request is directly sent to a target area management terminal to which the monitoring video data to be accessed belongs.
5. A 5G and artificial intelligence based meshed big data city monitoring system, comprising:
the system comprises a calling request module, a target area management terminal and a calling request module, wherein the calling request module is used for generating a calling request based on a calling instruction when receiving the calling instruction from the area management terminal, and sending the calling request to the target area management terminal to which the monitoring video data to be called belongs;
the tag acquisition module is used for acquiring tag information of the monitoring video data to be called from the calling instruction when receiving the agreement message from the target area management terminal;
the data calling module is used for sending the tag information to the cloud platform, and the cloud platform screens out monitoring video data pre-bound with the tag information based on the tag information;
the data sending module is used for sending the screened monitoring video data to the regional management terminal which sends the calling instruction;
the label information comprises road information and time information, the road information comprises a plurality of road section numbers, and the data calling module comprises:
the road information identification sub-module is used for identifying whether road section numbers are contained in the road information or not through the cloud platform;
the first screening sub-module is used for screening out monitoring video data pre-bound with the road information and the time information if the road information does not contain the road section number;
the second screening sub-module is used for screening the monitoring video data pre-bound with the road section number and the time information if the road information contains the road section number;
the 5G and artificial intelligence based gridding big data city monitoring system further comprises:
the cache module is used for caching the screened monitoring video data to the regional management terminal when receiving a cache instruction sent by the regional management terminal;
the feedback generation module is used for acquiring the time information and the road section number of the monitoring video data or generating feedback information by the time information and the road information;
and the feedback sending module is used for sending the feedback information to the target area management terminal to which the monitoring video data belong.
6. The 5G and artificial intelligence based grid big data city monitoring system of claim 5, wherein: the call request module comprises:
the identity acquisition sub-module is used for acquiring the identity information of the regional management terminal which sends out the calling instruction when receiving the calling instruction from the regional management terminal;
the tag acquisition sub-module is used for acquiring the identity information of the target area management terminal and the tag information of the monitoring video data to be acquired from the acquisition instruction;
and generating a calling request based on the identity information of the area management terminal, the identity information of the target area management terminal and the tag information of the monitoring video data to be called.
7. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the 5G and artificial intelligence based grid big data city monitoring method according to any of claims 1 to 4 when the computer program is executed.
8. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the 5G and artificial intelligence based grid big data city monitoring method of any of claims 1 to 4.
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