CN116170239A - Multi-centralised data processing method, system and storage medium - Google Patents
Multi-centralised data processing method, system and storage medium Download PDFInfo
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- CN116170239A CN116170239A CN202310456863.9A CN202310456863A CN116170239A CN 116170239 A CN116170239 A CN 116170239A CN 202310456863 A CN202310456863 A CN 202310456863A CN 116170239 A CN116170239 A CN 116170239A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0407—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the identity of one or more communicating identities is hidden
- H04L63/0414—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the identity of one or more communicating identities is hidden during transmission, i.e. party's identity is protected against eavesdropping, e.g. by using temporary identifiers, but is known to the other party or parties involved in the communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application discloses a multi-centralized data processing method, a system and a storage medium, wherein the method comprises the steps that a centralized resource block is used for being in communication connection with a plurality of marginal resource blocks, receiving and decrypting related information of personnel to be tested transmitted by the marginal resource blocks, acquiring local newly-added training set data and current training period verification data in a deployment area of the centralized resource blocks, and updating a global model in the current training period: training the global model according to the local newly-added training set data, acquiring an updated global model after training, and issuing the updated global model to a plurality of marginalized resource blocks; and inputting the local newly-added training set data and the current training period verification data to the updated global model, and outputting the identity information and the journey information of the personnel to be tested. The method and the device have the advantages that a plurality of regional centralized resource blocks are arranged, the calculation force is uniformly distributed, and the equipment resource utilization is reduced.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a multi-centralized data processing method, system, and storage medium.
Background
For the information confirmation of the personnel flow among the areas, because the information management system of a certain specific class of personnel crowd is not fully established, the mobility of the personnel to be tested in the crowd is large, and the journey information and the identity information of a large number of hanging sheets need to be verified, and the condition that the journey information and the identity information of the personnel to be tested are not verified timely happens sometimes;
at present, verification of the personnel to be tested is mainly realized through a handheld terminal, the personnel to be tested cannot realize equipment popularization, and hardware equipment in relevant places of the personnel to be tested in various places is high in cost.
Therefore, a need exists for a robust, efficient, and accurate authentication system.
Disclosure of Invention
The application provides a multi-centralization data processing method, a multi-centralization data processing system and a storage medium, which are used for solving the problem of disordered information management of personnel to be tested under the condition of low popularization rate of terminal equipment.
In a first aspect, the present application provides a multi-centralized data processing method applied to a centralized resource block, where the centralized resource block is used for communication connection with a plurality of marginal resource blocks, the method includes:
receiving and decrypting related information of a person to be detected transmitted by the bordered resource block, wherein the related information comprises collected data related to the person to be detected;
the centralized resource block comprises a global model, the centralized resource block compares the related information of the person to be tested in the current training period with the related information of the person to be tested in the last training period, and local newly-increased training set data and current training period verification data in a deployment area of the centralized resource block are obtained, wherein the local newly-increased training set data is related information of the person to be tested which is not verified by the global model, and the current training period verification data is related information of the verified person to be tested in the global model;
updating the global model in the next training period: training the global model according to the local newly-added training set data, acquiring an updated global model after training, and issuing the updated global model to a plurality of marginalized resource blocks;
and inputting the local newly-added training set data and the current training period verification data to the updated global model, and outputting the identity information and the journey information of the personnel to be tested.
Further, the centralized resource block further comprises the step of calling the identity information and the journey information of the person to be tested, which are acquired in the last training period, and the identity information and the journey information of the person to be tested, which are output in the current training period, and analyzing, combining and acquiring the identity information and the journey information which are related by taking the person to be tested as an entry.
Further, the method further comprises the steps of drawing a time track diagram of the personnel to be tested according to identity information and travel information which are related by taking the personnel to be tested as an entry, predicting an area where the travel information of the personnel to be tested is located, and forwarding verified related information of the personnel to be tested to a centralized resource block of the area where the related information is located.
Further, the method is used for the data intercommunication of the centralized resource blocks in different areas;
and encrypting and interacting the related information of the unverified personnel to be tested, which is acquired in the current training period, by the central resource block.
In a second aspect, the present application provides a multi-centralized data processing method applied to an marginalized resource block, where the marginalized resource block is used for communication connection with the centralized resource block in an area, the method includes:
initializing a local model;
receiving an updated global model issued by the centralized resource block;
updating a local model of the marginal resource block according to the updated global model, wherein the local model is used for screening out related information of personnel to be detected;
importing marginalized resource blocks to a local model to acquire data;
and outputting related information of the personnel to be detected to the centralized resource block.
Further, the marginal resource block is accessed to the monitoring image and video data in the marginal resource block area, and is forwarded to the data request of the traffic related system, and the encrypted monitoring data packet is received in a concentrated manner in the request time period.
Further, the marginal resource block is accessed to personal verification information and journey verification information in the marginal resource block area, and is forwarded to a data request of a traffic related system, and encrypted personal verification information and journey verification information data packets are received in a centralized manner in a request time period.
In a third aspect, the present application provides a multi-centralized data processing system comprising: a plurality of centered resource blocks, and a plurality of marginal resource blocks in the region of the centered resource blocks;
the centralized resource block is in communication connection with a plurality of marginal resource blocks;
the marginal resource blocks send related information of personnel to be detected to the centralized resource blocks in the region;
the centralized resource block transmits an updated global model to a plurality of the marginal resource blocks in the region;
the marginalized resource block receives the updated global model to update the local model of the marginalized resource block;
the centralized resource block data in different areas are encrypted and communicated.
In another aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the method according to any one of the first or second aspects when executed by a processor.
The application has the following advantages and beneficial effects:
according to the multi-centralized data processing method, system and storage medium, based on data acquired by the existing traffic systems and the like, the data are reasonably utilized, related data resources of personnel to be detected are integrated, the data are processed in a grading mode, a plurality of regional centralized resource blocks are arranged, the uniformly-distributed computing power is reduced, the equipment resource utilization is reduced, the regional centralized resource blocks and a plurality of marginal resource blocks are associated, the marginal resource blocks interact with the data acquired by the existing traffic systems and the like within the allowable time, privacy information is prevented from being leaked, and personal rights and interests are protected;
the multi-centralized data processing method, system and storage medium solve various inconveniences of information management of the existing personnel to be tested, and layout the centralized resource blocks with strong calculation power in each area, and the identity information and the journey information of the personnel to be tested of the centralized resource blocks are obtained by integrating traffic system data such as monitoring in the areas.
According to the multi-centralization data processing method, system and storage medium, the global model and the local model are updated through iteration, and the screening interval of the model is continuously adjusted according to the newly-added training set data, so that a data set with stronger relevance of the personnel to be tested is obtained.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and together with the description serve to explain the principle of the present application. In the drawings:
FIG. 1 is a flowchart of a multi-centralized data processing method according to an exemplary embodiment of the present application.
FIG. 2 is a flowchart of a method for multi-centralized data processing according to another exemplary embodiment of the present application.
FIG. 3 is a block diagram of a multi-centralized data processing system provided in accordance with yet another exemplary embodiment of the present application.
FIG. 4 is a block diagram illustrating interactions of a multi-centralized data processing system provided in accordance with yet another exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
First, terms involved in the present application are explained:
multicentric: an equal network consisting of a plurality of central nodes;
each centralization node lays out centralization resource blocks, and the centralization resource blocks are selected to be suitable geographic positions to cover multiple base stations, so that data blocks of other nodes in the joint area are constructed.
And (3) the marginal resource blocks are formed by taking each base station as a reference, linking an area network of the central resource blocks which at least comprises one central node, taking the central node as a radiation center, constructing the marginal nodes, adding a certain margin to the marginal nodes to form the marginal resource blocks, and the marginal resource blocks are used for preprocessing and integrating a plurality of data acquisition modules of the point-to-point communication of the marginal nodes.
The marginal resource block and the centralized resource block construct a two-stage machine learning mode based on the thinking of distributed machine learning, different functions of a global model and a local model are realized, data confidentiality and intercommunication among multiple central nodes are realized, a global model training set sharing mode based on virtual fusion data is constructed, and therefore a new application of balancing data privacy protection and data sharing calculation is realized.
The training scene of data processing of a plurality of marginal nodes under one centralized resource block comprises a large number of discrete users, and in actual situations, the computing power, data distribution and network stability of the data processing of the plurality of marginal nodes are uneven, so that the distributable adjacent computing power is dynamically invoked by different marginal nodes, and the computing power balance of the multi-marginal resource blocks under the same centralized resource block radiation in the asynchronous environment is realized.
Because the information management system of a certain specific class of people group is imperfect to establish, the information flowing among areas confirms that a large number of pieces of trip information and identity information of a plurality of places are required to be verified, and the condition that the trip information and the identity information of the people to be tested are not verified timely occurs, the verification of the people to be tested of the crowd at present is mainly realized through a handheld terminal, and because the crowd of people to be tested of all places is huge, the area span is large, the density is low and the like, the requirement on the number of equipment for centralized verification is large in regional setting, and the cost is high, therefore, the method adopts the existing public place equipment, reduces the equipment cost pressure, integrates the computing resources according to the area by using various sensors and processors of the public place, and reasonably utilizes the rich allowance of the public equipment resources, so as to collect, analyze and verify the multi-trip information and the identity information of the people of the specific class.
Aiming at solving the problem of disordered information management of personnel to be tested under the condition of low popularity of terminal equipment, the embodiment of the application provides a multi-centralization data processing method, as shown in figure 1, which comprises the following steps:
the method is applied to a centralized resource block, and the centralized resource block is used for being in communication connection with a plurality of marginal resource blocks, receiving and decrypting related information of personnel to be detected transmitted by the marginal resource blocks, wherein the related information comprises acquired data related to the personnel to be detected;
the centralized resource block comprises a global model, the centralized resource block compares the related information of the person to be tested in the current training period with the related information of the person to be tested in the last training period, and local newly-increased training set data and current training period verification data in a deployment area of the centralized resource block are obtained, wherein the local newly-increased training set data is related information of the person to be tested which is not verified by the global model, and the current training period verification data is related information of the verified person to be tested in the global model; the centralized resource block further comprises the step of calling the identity information and the travel information of the person to be tested, which are acquired in the last training period, and the identity information and the travel information of the person to be tested, which are output in the current training period, and analyzing, combining and acquiring the identity information and the travel information which are related by taking the person to be tested as an entry. And drawing a time track diagram of the personnel to be tested according to the identity information and the travel information which are related by taking the personnel to be tested as the entry, predicting the area where the travel information of the personnel to be tested is located, and forwarding the verified related information of the personnel to be tested to a centralized resource block of the area where the association is located.
Updating the global model in the next training period: training the global model according to the local newly-added training set data, acquiring an updated global model after training, and issuing the updated global model to a plurality of marginalized resource blocks;
and inputting the local newly-added training set data and the current training period verification data to the updated global model, and outputting the identity information and the journey information of the personnel to be tested.
Aiming at solving the problem of disordered information management of personnel to be tested under the condition of low popularity of terminal equipment, the embodiment of the application provides a multi-centralization data processing method, as shown in figure 2, which comprises the following steps:
applied to an marginalized resource block for communication connection with a centralized resource block within an area, the method comprising:
initializing a local model, receiving an updated global model issued by a centralized resource block, and updating the local model of an edge resource block according to the updated global model, wherein the local model is used for screening out related information of personnel to be tested;
importing the marginal resource block acquisition data into the local model, and outputting related information of personnel to be detected;
and the marginal resource block is accessed to the monitoring image and video data in the marginal resource block area, and is forwarded to a data request of a traffic related system, and an encrypted monitoring data packet is received in a concentrated manner in a request time period.
And the marginal resource block is accessed to personal verification information and journey verification information in the marginal resource block area, and is forwarded to a data request of a traffic related system, and encrypted personal verification information and journey verification information data packets are received in a centralized manner in a request time period.
Aiming at solving the problem of disordered information management of personnel to be tested under the condition of low popularity of terminal equipment, the embodiment of the application provides a multi-centralization data processing method, as shown in figure 3, which comprises the following steps:
the centralized resource block data intercommunication is used for different areas;
and encrypting and interacting the related information of the unverified personnel to be tested, which is acquired in the current training period, by the central resource block.
Aiming at solving the problem of disordered information management of personnel to be tested under the condition of low popularity of terminal equipment, the embodiment of the application provides a multi-centralization data processing method, as shown in fig. 4, which comprises the following steps:
the centralized resource blocks are in communication connection with a plurality of marginal resource blocks in the centralized resource block areas, the marginal resource blocks send related information of personnel to be detected to the centralized resource blocks in the areas, the centralized resource blocks send updated global models to the marginal resource blocks in the areas, the marginal resource blocks receive the updated global models to update the local models of the marginal resource blocks, and the centralized resource blocks in different areas are in data encryption intercommunication.
The centralized resource block or the marginalized resource block in the present application may be an electronic device deployed in the cloud or locally, and may be a cluster or a computing device, which is not specifically limited herein.
According to the multi-centralized data processing method, system and storage medium, based on data acquired by the existing traffic systems and the like, the data are reasonably utilized, related data resources of personnel to be detected are integrated, the data are processed in a grading mode, a plurality of regional centralized resource blocks are arranged, the uniformly-distributed computing power is reduced, the equipment resource utilization is reduced, the regional centralized resource blocks and a plurality of marginal resource blocks are associated, the marginal resource blocks interact with the data acquired by the existing traffic systems and the like within the allowable time, privacy information is prevented from being leaked, and personal rights and interests are protected;
the multi-centralized data processing method, system and storage medium solve various inconveniences of information management of the existing personnel to be tested, and layout the centralized resource blocks with strong calculation power in each area, and the identity information and the journey information of the personnel to be tested of the centralized resource blocks are obtained by integrating traffic system data such as monitoring in the areas.
According to the multi-centralization data processing method, system and storage medium, the global model and the local model are updated through iteration, and the screening interval of the model is continuously adjusted according to the newly-added training set data, so that a data set with stronger relevance of the personnel to be tested is obtained.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable multi-centralized data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable multi-centralized data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable multi-centralized data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), erasable programmable read only memory (EEPROM), flash memory or other memory technology, read only optical disk read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (9)
1. A method of multi-centric data processing, applied to a centralized resource block, the centralized resource block being configured to communicatively connect to a plurality of marginalized resource blocks, the method comprising:
receiving and decrypting related information of a person to be detected transmitted by the bordered resource block, wherein the related information comprises collected data related to the person to be detected;
the centralized resource block comprises a global model, and the centralized resource block compares the related information of the person to be tested in the current training period with the related information of the person to be tested in the last training period;
acquiring local newly-added training set data and current training period verification data in a centralized resource block deployment area, wherein the local newly-added training set data is related information of a person to be tested which is not checked by the global model, and the current training period verification data is related information of the checked person to be tested in the global model;
updating the global model in the next training period: training the global model according to the local newly-added training set data, acquiring an updated global model after training, and issuing the updated global model to a plurality of marginalized resource blocks;
and inputting the local newly-added training set data and the current training period verification data to the updated global model, and outputting the identity information and the journey information of the personnel to be tested.
2. The method according to claim 1, wherein the centralized resource block further comprises the steps of calling the identity information and the trip information of the person to be tested obtained in the last training period, analyzing, merging and obtaining the identity information and the trip information associated with the person to be tested as an entry with the identity information and the trip information of the person to be tested output in the current training period.
3. The method of claim 1, further comprising drawing a time trace graph of the person to be tested according to the identity information and the trip information associated with the entry of the person to be tested, predicting an area where the trip information of the person to be tested is located, and forwarding the verified information related to the person to be tested to a centralized resource block associated with the area where the trip information of the person to be tested is located.
4. A method according to claim 3, characterized in that the centralized resource block data for the different areas are interworked;
and encrypting and interacting the related information of the unverified personnel to be tested, which is acquired in the current training period, by the centralized resource block.
5. A method of multi-centric data processing, applied to an marginalized resource block for communication connection with the centralized resource block within an area, the method comprising:
initializing a local model;
receiving an updated global model issued by the centralized resource block;
updating a local model of the marginal resource block according to the updated global model, wherein the local model is used for screening out related information of personnel to be detected;
importing marginalized resource blocks to a local model to acquire data;
and outputting related information of the personnel to be detected to the centralized resource block.
6. The method of claim 5, wherein the marginalized resource blocks access the monitoring image, video data within the marginalized resource block region and forward to traffic-related system data requests for centralized receipt of encrypted monitoring data packets during the request time period.
7. The method of claim 5, wherein the marginalized resource block is accessed to personal authentication information and trip authentication information in the marginalized resource block area and forwarded to a traffic related system data request, and wherein encrypted personal authentication information and trip authentication information data packets are received centrally during the request time period.
8. A multi-centralized data processing system, comprising: a plurality of centered resource blocks, and a plurality of marginal resource blocks in the region of the centered resource blocks;
the centralized resource block is in communication connection with a plurality of marginal resource blocks;
the marginal resource blocks send related information of personnel to be detected to the centralized resource blocks in the region;
the centralized resource block transmits an updated global model to a plurality of the marginal resource blocks in the region;
the marginalized resource block receives the updated global model to update the local model of the marginalized resource block;
the centralized resource block data in different areas are encrypted and communicated.
9. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1 to 4 or 5 to 7.
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| 邓晓衡等: "基于综合信任的边缘计算资源协同研究", 计算机研究与发展, no. 03 * |
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| CN116170239B (en) | 2023-07-14 |
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