CN113132678A - Data transmission method and device, electronic equipment and storage medium - Google Patents
Data transmission method and device, electronic equipment and storage medium Download PDFInfo
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- CN113132678A CN113132678A CN201911414880.6A CN201911414880A CN113132678A CN 113132678 A CN113132678 A CN 113132678A CN 201911414880 A CN201911414880 A CN 201911414880A CN 113132678 A CN113132678 A CN 113132678A
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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
- 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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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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
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
- H04N21/2347—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving video stream encryption
Abstract
The invention relates to the technical field of image recognition, and provides a data transmission method, a data transmission device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring image data, and performing data processing on the image data to obtain initial image data; the initial image data is sent to a data cluster node through a producer service node, the data cluster node comprises a central port, the central port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed; and if the data calling request sent by the calling direction to the data cluster node is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data. The embodiment of the invention can improve the flexibility and the availability of the data transmission mode.
Description
Technical Field
The present invention relates to the field of image recognition technologies, and in particular, to a data transmission method and apparatus, an electronic device, and a storage medium.
Background
With the development of science and technology, the application based on the face recognition technology has been applied to various fields of society, and the face recognition technology has made great progress in the fields of security, finance, education and commerce. At present, after a portrait is distributed and controlled, a deep-mesh system based on portrait recognition can extract pictures after a front-end camera captures a face image in real time, and since the pictures cannot be directly stored in a public security intranet, the pictures must be stored in a picture cache server, then the pictures are automatically extracted by a designated gatekeeper program of a video private network and stored in a designated directory, and the pictures are extracted by the gatekeeper service of the public security intranet and then analyzed by a system of the public security intranet. However, with the mass deployment of the front-end cameras, the number of pictures captured by the front-end cameras is increased by one magnitude, so that the gatekeeper program cannot support flexible and configurable load capacity, the pressure of the gatekeeper program is greatly increased, message backlog occurs, and messages cannot be transmitted to the public security intranet in real time. Therefore, the data transmission mode in the prior art has the problems of poor flexibility and complex transmission mode.
Disclosure of Invention
The embodiment of the invention provides a data transmission method, which can improve the flexibility of a data transmission mode and enable the data transmission mode to have higher availability.
In a first aspect, an embodiment of the present invention provides a data transmission method, where the method includes the following steps:
acquiring image data, and performing data processing on the image data to obtain initial image data;
sending the initial image data to a data cluster node through a producer service node, wherein the data cluster node comprises a central port, the central port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed, and the producer service node is used for acquiring the image data and distributing the initial image data;
and if the data calling request sent by the calling direction to the data cluster node is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data.
In a second aspect, an embodiment of the present invention further provides a data transmission apparatus, including:
the acquisition module is used for acquiring image data and processing the image data to obtain initial image data;
the sending module is used for sending the initial image data to a data cluster node through a producer service node, the data cluster node comprises a central port, the central port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed, wherein the producer service node is used for obtaining the image data and distributing the initial image data;
and the output module is used for extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port to output if the data calling request sent by the calling direction to the data cluster node is detected.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: the data transmission method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps in the data transmission method provided by the embodiment when executing the computer program.
In a fourth aspect, a computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps in the data transmission method provided by the embodiments.
In the embodiment of the invention, image data is acquired and subjected to data processing to obtain initial image data; the initial image data is sent to a data cluster node through a producer service node, the data cluster node comprises a central port, the central port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed; and if the data calling request sent by the calling direction to the data cluster node is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data. In the embodiment of the invention, after the acquired image data is subjected to data processing, the processed initial image data is forwarded to the data cluster node, then the central port of the data cluster node is mapped with the calling port of the calling party, so that the one-way access port is constructed, and when a data calling request sent by the calling party is detected, the initial image data corresponding to the data calling request can be directly called in the data cluster node through the one-way access port to obtain the target image data for the calling party to use, so that the limitation and the transmission complexity caused by a gatekeeper program are avoided by adjusting a data transmission link for transmitting the image data to the calling party; and the data cluster nodes can be transversely expanded, so that the data processing can be accelerated, a dynamically adjustable transmission mode is formed, and the flexibility and the usability of data transmission are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system architecture diagram of a data transmission method according to an embodiment of the present invention;
fig. 2 is a flowchart of a data transmission method according to an embodiment of the present invention;
fig. 3 is a flowchart of another data transmission method provided in the embodiment of the present invention;
fig. 4 is a flowchart of another data transmission method provided in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a data transmission apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another data transmission apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another data transmission apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another data transmission apparatus according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of another data transmission apparatus according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of another data transmission apparatus according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprising" and "having," and any variations thereof, in the description and claims of this application and the description of the figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
As shown in fig. 1, fig. 1 is a system architecture diagram of a system architecture corresponding to a data transmission method according to an embodiment of the present invention. The system architecture 1000 includes a front end computer 1001, a producer service node 1002, a data cluster service node 1003, and a caller 1004.
The front camera 1001 may be an image capturing device for capturing image data, and may include a plurality of cameras distributed in different regions, such as the front camera a, the front camera b, and the front camera … … in fig. 1, and the number of the front cameras is not limited in the present invention.
The producer service node 1002 and the data cluster service node 1003 belong to devices on the extranet side. The producer service node 1002 is configured to receive image data acquired by the front-end camera 1001, perform data processing on the image data, after the data processing is completed, call an interface to send the processed data to the data cluster service node 1003 for storage, and a caller may obtain target image data from the data cluster service node 1003 through the constructed one-way access port.
The data cluster service node 1003 is configured to receive the initial image data processed by the producer service node 1002, distribute the initial image data to a plurality of servers deployed inside the data cluster service node, and store the initial image data. In addition, the data cluster service node 1003 may further send feedback data to the producer service node 1002, after receiving the feedback data, the producer service node 1002 may notify the structuring engine to perform structuring processing on the feedback data and return the feedback data to the producer service node 1002, and the producer service node 1002 submits the structured image data to the data cluster service node 1003.
The caller 1004 may refer to a public security intranet, and is configured to provide data support for various cases by calling image data. The caller 1004 may monitor the data cluster service node 1003 through the one-way access port, when target image data needs to be acquired, a data call request may be sent to the data cluster service node 1003, the data cluster service node 1003 may parse the data call request after receiving the data call request, and search for initial image data corresponding to the data call request as target image data to be output to the caller 1004, and a user may apply for data call to the caller 1004 through a terminal device under the permission of the caller 1004.
It should be understood that the numbers of the front-end computer 1001, the producer service node 1002, the data cluster service node 1003 and the caller 1004 are only illustrative, and may be specifically adjusted according to implementation requirements.
It should be appreciated that the terminal device may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, players, laptop portable computers, desktop computers, and the like. An end device may also be referred to as a terminal, a mobile terminal, a user end, a client, etc.
As shown in fig. 2, fig. 2 is a flowchart of a data transmission method provided in an embodiment of the present invention, where the data transmission method includes the following steps:
201. acquiring image data, and performing data processing on the image data to obtain initial image data.
In this embodiment, the data transmission method is applied in a scenario including, but not limited to, a face recognition system, and in practical applications, the face recognition system using the data transmission method may capture a criminal suspect to achieve rapid positioning, for example, capture criminals such as lost children and abducted children. And the electronic device on which the data transmission method operates can acquire image data and the like in a wired connection mode or a wireless connection mode. It should be noted that the Wireless connection manner may include, but is not limited to, a 3G/4G connection, a WiFi (Wireless-Fidelity) connection, a bluetooth connection, a wimax (worldwide Interoperability for microwave access) connection, a Zigbee (low power local area network protocol, also called Zigbee protocol) connection, a uwb (ultra wideband) connection, and other Wireless connection manners known now or developed in the future.
The image data may include face image data, body image data, environment image data, and the like. The image data may be image capture devices with technologies such as capture, storage, interface display, image processing, etc., for example: a front-end camera (a camera), a mobile terminal with a snapshot function, and the like. The image acquisition equipment can be arranged on different occasions and different positions. One party monitoring the image capturing apparatus may be a management department of each region, for example: police departments, road administration, public security departments, and the like. Each management department can set a plurality of image acquisition devices in different areas according to the positions, and the image acquisition devices can quickly capture people or objects in the monitoring range of the image acquisition devices, such as: during security check, the front-end camera is arranged on the security check column, and the human faces of everyone passing through the security check are collected. For another example: the front-end camera is installed at each safe passage in a shopping mall, an office building and a residential area, and image data (including human faces, human bodies, articles carried by people and the like) of people can be acquired when the people pass through the safe passage.
The front end may store all the acquired image data, and finally may form an image data set corresponding to each region, where the image information set may be classified according to data types, for example: the human face is of type A, and the human body is of type B. It is also possible to store by classification according to location: for example, mall A, floor 1, mall A, floor 2, etc. In order to acquire more complete image data, a plurality of multi-angle rotating door access cameras can be arranged to capture the image data. Of course, in the image data acquired by the image acquisition device, if the image data is used for acquiring a human face, a non-human face part in the acquired human face image data can be cut, or an image without the human face in the acquired human face image data can be deleted, so that the storage space is prevented from being occupied.
The data volume of the collected image data acquired by all the image acquisition devices is very large, the captured image data can be sent to a synchronization server (SYNC service VIID) of an external network (a video private network or a video network with similar functions to the video private network) by adopting a real-time or timing transmission mode, and then the image data is synchronously transmitted to a Producer service node (VK SYNC Producer series) for data processing. The above-mentioned private video network may be a system dedicated to processing video data including image data. The data processing of the image data can be optimization processing of the acquired image data, and the optimization processing can be encryption of the image data, matching of subject identification for the image data and enhancement of safety and identifiability of image data transmission. After the optimization processing, the obtained image data is the initial image data.
202. The method comprises the steps that initial image data are sent to a data cluster node through a producer service node, the data cluster node comprises a center port, the center port of the data cluster node and a calling port of a calling party are mapped, and a one-way access port is constructed, wherein the producer service node is used for obtaining the image data and distributing the initial image data.
The producer service node may refer to a server node that performs data processing on image data, for example: extraction and distribution of image data can be performed. The data cluster nodes can be Kafka data cluster nodes, and the zookeeper is used as a distributed coordination middleware to organize and coordinate the working condition of the server in the whole Kafka data cluster nodes by building Kafka servers in machine rooms of various regions of an external network. The central port may refer to a port for data call between the Kafka data cluster node and the caller, and data transmission is realized through the port. In the embodiment of the present invention, the caller may refer to a public security network. The mapping between the central port and the call port of the public security network end may be that the operation and maintenance personnel performs corresponding port mapping according to a network security protocol provided by the public security network end, and the like to obtain the one-way access port, where the one-way access port can only be opened when the public security network end actively calls data to the Kafka data cluster node, and the Kafka data cluster node cannot actively send data to the public security network end. Therefore, the data transmission safety can be ensured, and the situations such as poisoning, information embezzlement and the like are avoided.
Jar, wherein the producer service node comprises a preset script program kz, and the script program has the following functions: 1. automatically connecting the Kafka data cluster nodes, sending initial image data to the Kafka data cluster nodes through a method provided by the Kafka data cluster nodes, and consuming data returned by the Kafka data cluster nodes through the method provided by the Kafka data cluster nodes; 2. setting public and private keys for encrypting and decrypting respective image data, and encrypting and decrypting data transmitted by a user through a terminal; 3. setting respective subject (TOPIC) identification of image data, ensuring that an image data channel transmitted by a user has uniqueness in a Kafka data cluster node, and avoiding collision; 4. the script program can monitor the abnormal state of the service in the Kafka data cluster node through a watchdog mechanism of the zookeeper and inform operation and maintenance personnel of troubleshooting problems through short messages in real time.
The Kafka is a client-server based message publish/subscribe transport protocol that handles all the flow data of actions in a consumer-sized web site. Kafka has high throughput, even the very common hardware Kafka can support millions of messages per second; and the messages are partitioned by Kafka servers and consumer clusters, and Hadoop parallel data loading is also supported. Using Kafka facilitates building highly available services. A copy mechanism is arranged in the Kafka, and can ensure the integrity of initial image data in Kafka data cluster nodes and build a highly reliable service. The zookeeper may be software that provides a consistent service for distributed applications, and the provided functions include: the ZooKeeper can package complex key services which are easy to make mistakes, and provides a simple and easy-to-use interface and a system with high performance and stable functions for users.
203. And if a data calling request sent to the data cluster node from the calling direction is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data.
In the Kafka data cluster node, the aforementioned zookeeper can be used to monitor the operating state of the service in the Kafka data cluster node, so that the Kafka data cluster node is also detected in real time or at regular time whether it receives the data call request. After the public security network terminal actively sends a data calling request to the Kafka data cluster node through the one-way access port, because the initial image data in the Kafka request queue is classified, the initial image data corresponding to the data calling request can be quickly found in the Kafka request queue as target image data, and the target image data is returned through the one-way access port for responding to the data calling request, so that the efficiency of data calling can be improved.
In the embodiment of the invention, the image data is acquired and subjected to data processing to obtain initial image data; the method comprises the steps that initial image data are sent to a data cluster node through a producer service node, the data cluster node comprises a center port, the center port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed; and if a data calling request sent to the data cluster node from the calling direction is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data. In the embodiment of the invention, after the acquired image data is subjected to data processing, the processed initial image data is forwarded to the data cluster node, then the central port of the data cluster node is mapped with the calling port of the calling party, so that the one-way access port is constructed, and when a data calling request sent by the calling party is detected, the initial image data corresponding to the data calling request can be directly called in the data cluster node through the one-way access port to obtain the target image data for the calling party to use, so that the limitation and the transmission complexity caused by a gatekeeper program are avoided by adjusting a data transmission link for transmitting the image data to the calling party; and the data cluster nodes can be transversely expanded, so that the data processing can be accelerated, a dynamically adjustable transmission mode is formed, and the flexibility and the usability of data transmission are improved.
As shown in fig. 3, fig. 3 is a flowchart of another method provided by the embodiment of the present invention, which includes the following steps:
301. and detecting whether a data uploading request exists or not, wherein the data uploading request comprises image data.
The image data may be data captured by each local area through a front-end camera (front-end capturing camera), the data upload request may be sent through a mobile device configured by each local area, real-time data transmission may be implemented between the mobile device configured by each local area and the front-end camera deployed in the local area, and after the front-end camera captures an image, the image may be quickly uploaded to the mobile device corresponding to the image through protocol transmission. Of course, the image appearing in the monitoring range of the front-end camera can be observed in real time on the corresponding mobile device, and the acquired data such as video can be stored at the mobile device. When the calling party needs to call the data, the image data stored on the terminal equipment of each branch office is used as basic data for the calling party. When each regional office needs to upload image data for a calling party to use, the problems of large data volume, safety performance and the like are considered, the image data needs to be sent to an external network, and the external network processes the image data and then calls the image data for the calling party.
302. And if the data uploading request is detected, receiving the image data in the data uploading request and sending the image data to the producer service node.
The data uploading request can be detected by a server configured at the external network end, and if the server detects the data uploading request, the server can receive the image data in the data uploading request, and then the server sends the received image data to the producer service node.
303. The producer service node performs data processing on the image data to obtain initial image data, and the data processing comprises encrypting the image data and/or matching the image data with a unique identifier.
After the image data is obtained, data processing may be performed on the image data, where the data processing includes encrypting the image data, matching a unique identifier with the image data, and the like. The image data can be protected in the transmission process for the encryption of the image data; the image data is matched with the unique identifier, so that the uniqueness of the image data transmission channel in the cluster can be ensured, and the conflict is avoided. Wherein, which image data need to be encrypted and which data need not be encrypted can be analyzed and known from the data uploading request.
304. The initial image data is sent to the data cluster nodes through the producer service nodes, the data cluster nodes comprise center ports, the center ports of the data cluster nodes are mapped with calling ports of calling parties, and one-way access ports are constructed.
305. And if a data calling request sent to the data cluster node from the calling direction is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data.
Optionally, step 303 may include:
and analyzing the data uploading request, and identifying whether the data uploading request comprises an encryption request and/or a classification request.
After the data uploading request is analyzed, all data contained in the data uploading request can be analyzed, and whether an encryption request, a data classification request and the like exist in the data uploading request is judged. The data classification request can represent that the image data is matched with the unique identifier, namely the image data uploaded in different regions can be distinguished according to conditions such as data types and data sources.
Jar script program is contained in the producer service node, and the producer service node has the function of setting the public and private keys for data encryption and decryption, so that the image data of the data uploading request including the encryption request can be encrypted in the producer service node, the image data can be protected in the transmission process, the calling limitation can be performed on the user directly calling the extranet terminal and storing the image data in the extranet database (video network terminal database), and the situations of exposure of part of important image data and the like are avoided. Jar script program in the producer service node can set respective data Theme (TOPIC) identification, so that uniqueness of an image data transmission channel in a cluster can be ensured, and collision is avoided. The producer service node can also inform the engine of the processed initial image data through an internal server, store the initial image in the external network database, and a user needing to call the external network database can obtain the initial image data through the API service between the used mobile equipment and the external network.
If the data uploading request comprises an encryption request and/or a classification request, encrypting the image data in the data uploading request; and/or
And classifying the image data, and matching corresponding unique identifications for the image data of different data types.
Specifically, when it is identified that the data upload request includes an encryption request, the image data corresponding to the data upload request needs to be encrypted, for example: and setting a key xxxxx for the facial image data uploaded in the area A. When it is recognized that the data upload request includes a classification request, the image data needs to be classified, and corresponding unique identifiers are matched for the image data of different data types, for example: area a-image data, area B-image data, and area C-image data. Even image data of different data types in each region can be distinguished, such as A region-01 face image data, A region-02 face image data, B region-01 face image data and B region-02 face image data.
In the embodiment of the invention, whether a data uploading request is sent by a front end is detected, the data uploading request is analyzed and the image data contained in the data uploading request is identified under the condition that the data uploading request is received, and when the data uploading request is judged to contain an encryption request and/or a classification request, the corresponding image data is encrypted and/or matched with a unique identifier on a producer service node to obtain initial image data, so that the safety and the identification degree of data transmission are improved; the method comprises the steps that initial image data are forwarded to a data cluster node through a producer service node, then a center port of the data cluster node is mapped with a calling port of a calling party, a one-way access port is constructed, and when a data calling request sent by the calling party is detected, the initial image data corresponding to the data calling request can be directly called in the data cluster node through the one-way access port, so that target image data are obtained and used by the calling party. Therefore, by adjusting the data transmission link for transmitting the image data to the calling party, the limitation and the transmission complexity caused by a gatekeeper program are avoided, and when the data volume of the server in the data cluster node is limited, the server can be transversely expanded to form a dynamically allocable transmission mode, so that the flexibility is high, and the usability is higher.
As shown in fig. 4, fig. 4 is a flowchart of another data transmission method implemented and provided by the present invention, which specifically includes the following steps:
401. acquiring image data, and performing data processing on the image data to obtain initial image data.
402. And sending the initial image data to the data cluster nodes through the producer service nodes, and if the producer service nodes are detected to receive the response information of the data cluster nodes, acquiring feedback data contained in the response information returned by the data cluster nodes, wherein the feedback data comprises the initial image data.
After the producer service node of the external network completes the operations of encrypting the image data, matching the unique identifier and the like, the producer service node can send the data to the data cluster node, namely the Kafka data cluster node. There may be multiple servers in the Kafka data cluster node, and the initial image data may be distributed to the individual servers through a load balancing policy. Each server is provided with a plurality of storage areas, and initial image data can be correspondingly stored in different areas according to data types. Thus, the parallel speed of receiving the initial image data can be increased.
When the Kafka data cluster node receives the initial data, a response message may be sent to the producer service node indicating that the reception of the initial image data has been completed. Feedback data, which may refer to the initial image data that Kafka data cluster nodes have received, may be included in the returned response information.
The above-mentioned producer service node does not store mass data, and in the Kafka data cluster node, in order to ensure high availability and comprehensiveness of data, both initial image data and structured image data after engine structuring are required. Therefore, the Kafka data cluster node is required to return feedback data to the producer service node after responding.
403. And performing structural processing on the feedback data to obtain structural image data, wherein the structural image data is the image data obtained by performing structural processing on the initial image data included in the feedback data.
The above-mentioned structural engine may be configured to perform structural processing on the feedback data, and convert the feedback data into data that can be logically expressed by a two-dimensional table structure. After the producer service node receives the feedback data returned by the Kafka data cluster node, notification information can be sent to the structured engine, the feedback data is forwarded to the structured engine, the structured engine carries out structured processing to obtain structured image data, and the structured engine transmits the structured image data back to the producer service node.
404. And the structured image data is submitted to a data cluster node through a producer service node, the data cluster node comprises a central port, and the central port of the data cluster node is mapped with a calling port of a calling party to construct a one-way access port.
After the structured engine transmits the structured image data back to the producer service node, the producer service node distributes the received structured image data to the Kafka data cluster node. And (3) operating the device on the Kafka data cluster node, and monitoring the abnormal state of each server service in the Kafka data cluster node by a KZ.jar script program in a producer service node through a watchdog mechanism of a zookeeper, so that once the abnormality is found, operation and maintenance personnel can be informed to troubleshoot the problems in a short message mode in real time. If a certain server in the Kafka data cluster node fails, other servers in the cluster cannot be affected, the operation executed by the failed server can be converted to other alternative servers to continue, and when the abnormal server recovers to a normal working state, the abnormal server can be started continuously.
405. And if a data calling request sent to the data cluster node from the calling direction is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data.
Optionally, the step 402 includes:
and detecting the residual storage space of the data cluster nodes.
Due to the huge data volume, under the condition that the number of servers in the Kafka data cluster node is not changed, the storage space of the Kafka data cluster node is limited although the number of servers is large, so that the residual storage space in the Kafka data cluster node can be detected in real time or at regular time before or after the initial image data or the structured image data sent by the producer service node is received each time. The remaining storage space may refer to a total remaining storage space of all services in the Kafka data cluster node.
And if the residual storage space is larger than the space occupied by the initial image data in the producer service node, the producer service node sends the initial image data to the data cluster node.
After detecting the remaining storage space of the Kafka data cluster node, the storage space occupied by the initial image data that needs to be uploaded to the Kafka data cluster node may be compared with the remaining storage space, for example: and 2G of the residual storage space, and 3G of the storage space occupied by the initial image data which needs to be uploaded to the Kafka data cluster node, are needed, which means that the Kafka data cluster node cannot load so much initial image data. When the remaining storage space of the Kafka data cluster nodes is not enough, sequential loading can be performed according to the time sequence. Of course, if the remaining storage space is larger than the storage space occupied by the initial image data that needs to be uploaded to the Kafka data cluster node, the initial image data uploaded to the Kafka data cluster node by the producer service node may be directly accepted, for example: the remaining storage space is 5G, and the storage space occupied by the initial image data which needs to be uploaded to the Kafka data cluster node needs 2G, which indicates that the Kafka data cluster node can load the 2G initial image data.
As a possible embodiment, when the storage space of the servers in the Kafka data cluster node is not enough, the number of the servers may be dynamically expanded to increase the storage space of the data, for example: originally, 8 servers are provided, the storage space of each server is 100G, and when the residual storage space is insufficient, 4 servers with the same storage space can be added. By transversely expanding the Kafka data cluster nodes, the speed of loading the data is increased, the storage space is increased, the integrity of the data in the Kafka data cluster nodes is ensured, and a flexible and configurable data transmission mode is realized.
As another possible embodiment, the initial image data stored by the server in the Kafka data cluster node may be screened at regular time, and part of the data may be deleted. The condition of the filtering may be storage time, the number of times the data is called, and the like, for example: the Kafka data cluster node performs self-detection at regular time, and automatically deletes the initial image data stored for more than 2 years, or acquires whether the called times of all the initial image data in the Kafka data cluster node within 1 year reach 20 times, and if not reach 20 times, the initial image data with the called times below 20 times can be deleted. Through the mode, the residual storage space in the Kafka data cluster node can be updated, so that the residual storage space can meet the storage space required by the initial image data.
Optionally, step 405 includes:
and detecting whether the unidirectional access port receives a data calling request.
The Kafka data cluster node can detect whether a one-way access port has a data call request in real time, wherein the data call request can be a request actively sent by a calling party, and the data call request can include initial image data which is desired to be called. The caller may refer to a public security intranet. The public security network can also be configured with a producer service node VK SYNC Consumer Serial, and the producer service node monitors the video private network by mapping a one-way access port: kafka data clusters the initial image data in the node.
And if the data calling request is received, analyzing the data calling request, and screening initial image data corresponding to the data calling request from the initial image data as target image data.
When the data call request is detected, the calling party is indicated to acquire corresponding data. At this time, the Kafka data cluster node may parse the data call request to identify data that is desired to be obtained, for example: x is the image data of x place. After the image data which the calling party wants to obtain is found in the Kafka data cluster nodes, the image data can be used as target image data and output to the internal network of the public security network based on the one-way access port. The target image data may be searched according to key information, feature values, and the like in the data call request, for example: the search is performed by time, place, person, object, characteristic information of the person, and the like.
And outputting the target image data to the calling party through the one-way access port.
After the target image data are found, the target image data can be output to the internal network of the public security network through the one-way access port. Each Kafka consumer group can be set up in a public security network intranet, each group can comprise a plurality of consumer servers, and target image data of different subjects output by Kafka data cluster nodes are monitored and processed in real time in a load distribution mode. A producer service node can be also arranged in the public security intranet, a KZ jar script program can be also configured in the producer service node, the script program can monitor the abnormal state of server service in Kafka consumer groups through a watchdog mechanism, and when the abnormal state is detected, operation and maintenance personnel are informed to troubleshoot problems in a short message mode and the like in real time.
After receiving the target image data, the internal network of the public security network can submit the target image data to a server in the internal network of the public security network, and inform an engine to store the target image data in a database and store the target image data in a storage system of the internal network of the public security network. When a mobile terminal accesses the internal network of the public security network, the target image data can be unlocked by inputting the password through the data port API service, and the password is correctly input. The mobile terminal can access image data in the internal network of the public security network.
In the embodiment of the invention, after the obtained image data is subjected to data processing, the processed initial image data is forwarded to the data cluster node, and after the producer service node receives the response information of the data cluster node, feedback data contained in the response information returned by the data cluster node is obtained, a structural engine is informed to perform structural processing on the feedback data to obtain the structural image data, and the structural image data is submitted to the data cluster node, so that the completeness and the storage order of the data in the data cluster node are ensured. And the residual storage space of the data cluster node is detected in real time or at regular time, and under the condition of insufficient space, the server in the data cluster node can be transversely expanded or the storage space of the data cluster node can be deleted, so that enough storage space can be ensured to store the initial image data uploaded by the service node of the producer, and a dynamically allocable transmission mode is formed, and the method is high in flexibility and higher in availability. When detecting that a calling party sends a data calling request, the initial image data corresponding to the data calling request can be directly called in the data cluster node through the one-way access port so as to obtain target image data for the calling party to use. Therefore, by adjusting the data transmission link for transmitting the image data to the calling party, the limitation caused by a gatekeeper program and the complexity of transmission are avoided.
As shown in fig. 5, fig. 5 is a schematic structural diagram of a data transmission apparatus according to an embodiment of the present invention, where the data transmission apparatus 500 includes:
an obtaining module 501, configured to obtain image data, and perform data processing on the image data to obtain initial image data;
a sending module 502, configured to send initial image data to a data cluster node through a producer service node, where the data cluster node includes a central port, and maps the central port of the data cluster node and a calling port of a calling party to construct a one-way access port, where the producer service node is configured to obtain the image data and perform distribution processing on the initial image data;
an output module 503, configured to, if a data call request sent by a data cluster node to a call direction is detected, extract, through a unidirectional access port, initial image data corresponding to the data call request in the data cluster node as target image data and output the target image data.
Optionally, as shown in fig. 6, fig. 6 is a schematic structural diagram of another data transmission apparatus provided in the embodiment of the present invention, and the obtaining module 501 includes:
the first detecting unit 5011 is configured to detect whether a data upload request exists, where the data upload request includes image data;
the receiving unit 5012 is configured to receive image data in the data upload request and send the image data to the producer service node if the data upload request is detected;
the first processing unit 5013 is configured to perform data processing on the image data by the producer service node to obtain initial image data, where the data processing includes encrypting the image data and/or matching the image data with a unique identifier.
Optionally, as shown in fig. 7, fig. 7 is a schematic structural diagram of another data transmission apparatus provided in the embodiment of the present invention, and the first processing unit 5013 includes:
the parsing subunit 50131 is configured to parse the data upload request, and identify whether the data upload request includes an encryption request and/or a classification request;
the processing subunit 50132 is configured to encrypt the image data in the data upload request if the data upload request includes an encryption request and/or a classification request; and/or
The processing subunit 50132 is also configured to classify the image data as matching the corresponding unique identifier for image data of different data types.
Optionally, as shown in fig. 8, fig. 8 is a schematic structural diagram of another data transmission apparatus provided in the embodiment of the present invention, where the sending module 502 includes:
an obtaining unit 5021, configured to send initial image data to a data cluster node through a producer service node, and if it is detected that the producer service node receives response information of the data cluster node, obtain feedback data included in the response information returned by the data cluster node, where the feedback data includes the initial image data;
a second processing unit 5022, configured to perform structuring processing on the feedback data to obtain structured image data, where the structured image data is image data obtained by performing structuring processing on initial image data included in the feedback data;
a submitting unit 5023, configured to submit the structured image data to the data cluster node through the producer service node.
Optionally, as shown in fig. 9, fig. 9 is a schematic structural diagram of another data transmission apparatus provided in the embodiment of the present invention, and the sending module 502 further includes:
a second detecting unit 5024, configured to detect a remaining storage space of the data cluster node;
a sending unit 5025, configured to send the initial image data to the data cluster node by the producer service node if the remaining storage space is greater than the space occupied by the initial image data in the producer service node.
Optionally, as shown in fig. 10, fig. 10 is a schematic structural diagram of another data transmission apparatus provided in the embodiment of the present invention, and the output module 503 includes:
a third detecting unit 5031, configured to detect whether the unidirectional access port receives a data call request;
a screening unit 5032, configured to, if a data call request is received, analyze the data call request, and screen initial image data corresponding to the data call request from the initial image data as target image data;
an output unit 5033 configured to output the target image data to the caller through the unidirectional access port.
The data transmission device provided by the embodiment of the invention can realize each process realized by the data transmission method in the method embodiment and can achieve the same beneficial effect, and in order to avoid repetition, the description is omitted here.
As shown in fig. 11, fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 1100 includes: the data transmission method includes a memory 1102, a processor 1101, a network interface 1103 and a computer program stored on the memory 1102 and operable on the processor 1101, wherein the processor 1101 executes the computer program to implement the steps of the data transmission method provided by the embodiment.
Specifically, the processor 1101 is configured to perform the following steps:
acquiring image data, and performing data processing on the image data to obtain initial image data;
the method comprises the steps that initial image data are sent to a data cluster node through a producer service node, the data cluster node comprises a center port, the center port of the data cluster node and a calling port of a calling party are mapped, and a one-way access port is constructed, wherein the producer service node is used for obtaining the image data and distributing the initial image data;
and if a data calling request sent to the data cluster node from the calling direction is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data.
Optionally, the step of acquiring image data and performing data processing on the image data, which is executed by the processor 1101, includes:
detecting whether a data uploading request exists or not, wherein the data uploading request comprises image data;
if the data uploading request is detected, receiving image data in the data uploading request, and sending the image data to a producer service node;
the producer service node performs data processing on the image data to obtain initial image data, and the data processing comprises encrypting the image data and/or matching the image data with a unique identifier.
Optionally, the step of encrypting the image data and/or matching the image data with the unique identifier performed by the processor 1101 includes:
analyzing the data uploading request, and identifying whether the data uploading request comprises an encryption request and/or a classification request;
if the data uploading request comprises an encryption request and/or a classification request, encrypting the image data in the data uploading request; and/or
And classifying the image data, and matching corresponding unique identifications for the image data of different data types.
Optionally, the step performed by the processor 1101 of sending the initial image data to the data cluster node through the producer service node includes:
if the producer service node is detected to receive the response information of the data cluster node, feedback data contained in the response information returned by the data cluster node is obtained, and the feedback data comprises the initial image data;
performing structural processing on the feedback data to obtain structural image data, wherein the structural image data is image data obtained by performing structural processing on initial image data included in the feedback data;
submitting, by the producer service node, the structured image data to the data cluster node.
Optionally, the step executed by the processor 1101 of sending the initial image data to the data cluster node through the producer service node further includes:
detecting the residual storage space of the data cluster nodes;
and if the residual storage space is larger than the space occupied by the initial image data in the producer service node, the producer service node sends the initial image data to the data cluster node.
Optionally, the step executed by the processor 1101 of outputting the target image data corresponding to the data call request in the data cluster node through the unidirectional access port includes:
detecting whether a one-way access port receives a data calling request or not;
if the data calling request is received, analyzing the data calling request, and screening initial image data corresponding to the data calling request from the initial image data as target image data;
and outputting the target image data to the calling party through the one-way access port.
The electronic device 1100 provided by the embodiment of the present invention can implement each implementation manner in the data transmission method embodiment and corresponding beneficial effects, and is not described herein again to avoid repetition.
It is noted that only 1101-1103 with components are shown, but it is understood that not all of the shown components are required and that more or fewer components may alternatively be implemented. As will be understood by those skilled in the art, the electronic device 1100 is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable gate array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The electronic device 1100 may be a computing device such as a desktop computer, a notebook, or a palmtop computer. The electronic device 1100 may interact with a user through a keyboard, mouse, remote control, touch pad, voice control device, or the like.
The memory 1102 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the storage 1102 may be an internal storage unit of the electronic device 1100, such as a hard disk or a memory of the electronic device 1100. In other embodiments, the memory 1102 may also be an external storage device of the electronic device 1100, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the electronic device 1100. Of course, the memory 1102 may also include both internal and external memory units of the electronic device 1100. In this embodiment, the memory 1102 is generally used for storing an operating system installed in the electronic device 1100 and various application software, such as program codes of a data transmission method. In addition, the memory 1102 may also be used to temporarily store various types of data that have been output or are to be output.
The network interface 1103 may include a wireless network interface or a wired network interface, and the network interface 1103 is typically used to establish communication connections between the electronic device 1100 and other electronic devices.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor 1101, each process in the data transmission method provided in the embodiment is implemented, and the same technical effect can be achieved, and in order to avoid repetition, details are not repeated here.
It will be understood by those skilled in the art that all or part of the processes of the embodiments may be implemented by hardware related to instructions of a computer program, and the computer program may be stored in a computer readable storage medium, and when executed, may include processes such as those of the embodiments of the methods. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A data transmission method, comprising the steps of:
acquiring image data, and performing data processing on the image data to obtain initial image data;
sending the initial image data to a data cluster node through a producer service node, wherein the data cluster node comprises a central port, the central port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed, and the producer service node is used for acquiring the image data and distributing the initial image data;
and if the data calling request sent by the calling direction to the data cluster node is detected, extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port and outputting the target image data.
2. The data transmission method according to claim 1, wherein the step of acquiring image data and performing data processing on the image data comprises:
detecting whether a data uploading request exists or not, wherein the data uploading request comprises the image data;
if the data uploading request is detected, receiving the image data in the data uploading request, and sending the image data to the producer service node;
and the producer service node performs data processing on the image data to obtain the initial image data, wherein the data processing comprises encrypting the image data and/or matching a unique identifier with the image data.
3. The data transmission method of claim 2, wherein the step of encrypting the image data and/or matching the image data with a unique identifier comprises:
analyzing the data uploading request, and identifying whether the data uploading request comprises an encryption request and/or a classification request;
if the data uploading request comprises an encryption request and/or a classification request, encrypting the image data in the data uploading request; and/or
And classifying the image data, and matching corresponding unique identifiers for the image data of different data types.
4. The data transmission method of claim 1, wherein the step of sending the initial image data to a data cluster node by a producer service node comprises:
if the producer service node is detected to receive the response information of the data cluster node, feedback data contained in the response information returned by the data cluster node is obtained, and the feedback data comprises the initial image data;
performing structural processing on the feedback data to obtain structural image data, wherein the structural image data is image data obtained by performing structural processing on initial image data included in the feedback data;
submitting, by the producer service node, the structured image data to the data cluster node.
5. The data transmission method of claim 1, wherein the step of sending the initial image data to a data cluster node by a producer service node further comprises:
detecting the residual storage space of the data cluster nodes;
and if the residual storage space is larger than the space occupied by the initial image data in the producer service node, the producer service node sends the initial image data to the data cluster node.
6. The data transmission method according to claim 1, wherein the step of outputting, through the unidirectional access port, target image data corresponding to the data call request in the data cluster node comprises:
detecting whether the one-way access port receives a data calling request;
if the data calling request is received, analyzing the data calling request, and screening initial image data corresponding to the data calling request from the initial image data as target image data;
and outputting the target image data to the calling party through the one-way access port.
7. A data transmission apparatus, comprising:
the acquisition module is used for acquiring image data and processing the image data to obtain initial image data;
the sending module is used for sending the initial image data to a data cluster node through a producer service node, the data cluster node comprises a central port, the central port of the data cluster node is mapped with a calling port of a calling party, and a one-way access port is constructed, wherein the producer service node is used for obtaining the image data and distributing the initial image data;
and the output module is used for extracting initial image data corresponding to the data calling request in the data cluster node as target image data through the one-way access port to output if the data calling request sent by the calling direction to the data cluster node is detected.
8. The data transmission apparatus of claim 7, wherein the obtaining module comprises:
the detection unit is used for detecting whether a data uploading request exists or not, wherein the data uploading request comprises the image data;
the receiving unit is used for receiving the image data in the data uploading request and sending the image data to the producer service node if the data uploading request is detected;
the processing unit is used for the producer service node to perform data processing on the image data to obtain the initial image data, and the data processing comprises encrypting the image data and/or matching unique identification on the image data.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the steps in the data transmission method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps in the data transmission method according to one of claims 1 to 7.
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