CN113077014B - Cloud edge terminal information fusion method, system, device and medium - Google Patents
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Abstract
The application discloses a cloud edge end information fusion method, system, device and medium. In the method, firstly, an obtained sample label log is fused into a target information label through a preset fusion strategy to obtain a standard fusion queue, and then a first mapping relation between first user service information and second user service information is determined according to the sample label log and the standard fusion queue. And secondly, acquiring key content characteristics from the target information label, and further acquiring target content characteristics corresponding to the key content characteristics. And then judging whether the first user service information and the second user service information are different according to the target content characteristics. By the design, fusion failure of the first user service information and the second user service information during fusion can be judged according to the difference between the first user service information and the second user service information, and further, the problem that information fusion time is wasted due to the fact that relevant information cannot be fused can be avoided.
Description
Technical Field
The present disclosure relates to the field of cloud edge and information fusion technologies, and in particular, to a method, a system, a device, and a medium for cloud edge information fusion.
Background
Information fusion, also known as data fusion, also known as sensor information fusion or multi-sensor information fusion, is an information processing process that correlates, correlates and synthesizes data and information obtained from single and multiple information sources to obtain accurate position and identity estimation, and comprehensively and timely evaluate situations, threats and their importance; the process is a continuous Refinement (Refinement) process for estimating, evaluating and evaluating the demand of the additional information source, and is a process for continuously self-correcting the information processing process to obtain the improvement of the result. However, there may be some flaws in the process of information fusion.
Disclosure of Invention
In order to solve the technical problems in the related art, the present disclosure provides a cloud edge information fusion method, system, device, and medium.
The application provides a cloud edge information fusion method in a first aspect, and the method comprises the following steps:
determining a first target information attribute corresponding to first user service information and a second target information attribute corresponding to second user service information, wherein the first target information attribute and the second target information attribute respectively comprise information labels corresponding to multiple different information characteristics;
acquiring a sample label log of any one information label of the first user service information in the first target information attribute, and determining an information label with the highest information heat in the second target information attribute as a target information label;
fusing the sample label log into the target information label based on a preset fusion strategy to obtain a standard fusion queue, and determining a first mapping relation between the first user service information and the second user service information according to the sample label log and the standard fusion queue;
and acquiring key content features in the target information label by taking the standard fusion queue as a target queue, fusing the key content features to the information label where the sample label log is located according to a second mapping relation corresponding to the first mapping relation, obtaining the target content features corresponding to the key content features in the information label where the sample label log is located, determining whether the first user service information and the second user service information are different according to the target content features, and if so, determining that the fusion of the first user service information and the second user service information fails.
Optionally, the determining a first target information attribute corresponding to the first user service information and a second target information attribute corresponding to the second user service information includes: acquiring the first user service information and the second user service information; determining the first target information attribute corresponding to the first user service information according to the characteristic attribute information corresponding to the information characteristic; attribute content of any information feature related between two information tags in the first target information attribute is feature attribute information corresponding to the information feature; and determining a second target information attribute corresponding to the second user service information according to the characteristic attribute information corresponding to the information characteristic, wherein the attribute content of the information characteristic between any two associated information tags in the second target information attribute is the characteristic attribute information corresponding to the information characteristic.
Optionally, the fusing the sample tag log into the target information tag based on a preset fusion policy, obtaining the standard fusion queue in the target information tag, and determining a first mapping relationship between the first user service information and the second user service information according to the sample tag log and the standard fusion queue, includes:
fusing the sample label log into the target information label based on the preset fusion strategy, and obtaining the standard fusion queue in the target information label;
acquiring key similar content in the information label where the sample label log is located; wherein the key similar content is the key content taking the sample label log as a standard; fusing the key similar content into the target information label based on the preset fusion strategy to obtain key fusion content in the target information label;
and determining a first mapping relation between the first user service information and the second user service information according to the corresponding list between the sample label log and the key similar content, the standard fusion queue and the key fusion content.
Optionally, the fusing the sample tag log into the target information tag based on a preset fusion policy to obtain the standard fusion queue in the target information tag includes: fusing the sample label log into an information mark process to obtain real-time configuration information based on a fusion vector in the preset fusion strategy;
inputting the real-time configuration information into corresponding matching behavior information of the second user service information according to a mutually matched information directory and an adaptive relationship between a preset fusion strategy corresponding to the first user service information and a preset fusion strategy corresponding to the second user service information to obtain target matching information;
and inputting variable target matching information into the target information tag according to the preset fusion strategy to obtain the standard fusion queue.
The second aspect of the present application provides a cloud edge terminal information fusion system, including terminal equipment and information acquisition terminal, terminal equipment with information acquisition terminal communication connection, terminal equipment includes:
the information attribute determining module is used for determining a first target information attribute corresponding to first user service information and a second target information attribute corresponding to second user service information, wherein the first target information attribute and the second target information attribute respectively comprise information tags corresponding to a plurality of different information characteristics;
an information mark obtaining module, configured to obtain a sample label log of any one information label of the first user service information in the first target information attribute, and determine an information label with a highest information heat degree in the second target information attribute as a target information label;
the mapping relation determining module is used for fusing the sample label log into the target information label based on a preset fusion strategy to obtain a standard fusion queue, and determining a first mapping relation between the first user service information and the second user service information according to the sample label log and the standard fusion queue;
and the information fusion judging module is used for acquiring key content characteristics in the target information label by taking the standard fusion queue as a target queue, fusing the key content characteristics to the information label where the sample label log is located according to a second mapping relation corresponding to the first mapping relation, acquiring the target content characteristics corresponding to the key content characteristics in the information label where the sample label log is located, determining whether the first user service information and the second user service information have difference according to the target content characteristics, and judging that the first user service information and the second user service information are failed in fusion if the first user service information and the second user service information have difference.
Optionally, the terminal device includes:
acquiring the first user service information and the second user service information; determining the first target information attribute corresponding to the first user service information according to the characteristic attribute information corresponding to the information characteristic; attribute content of any information feature related between the two information tags in the first target information attribute is feature attribute information corresponding to the information feature; and determining a second target information attribute corresponding to the second user service information according to the characteristic attribute information corresponding to the information characteristic, wherein the attribute content of the information characteristic between any two associated information tags in the second target information attribute is the characteristic attribute information corresponding to the information characteristic.
Optionally, the terminal device includes:
fusing the sample label log into the target information label based on the preset fusion strategy, and obtaining the standard fusion queue in the target information label;
acquiring key similar content in the information label where the sample label log is located; wherein the key similar content is the key content taking the sample label log as a standard; fusing the key similar content into the target information label based on the preset fusion strategy to obtain key fusion content in the target information label;
and determining a first mapping relation between the first user service information and the second user service information according to the corresponding list between the sample label log and the key similar content, the standard fusion queue and the key fusion content.
Optionally, the terminal device includes:
fusing the sample label log into an information mark process to obtain real-time configuration information based on a fusion vector in the preset fusion strategy;
inputting the real-time configuration information into corresponding matching behavior information of the second user service information according to a mutually matched information directory and an adaptive relationship between a preset fusion strategy corresponding to the first user service information and a preset fusion strategy corresponding to the second user service information to obtain target matching information;
and inputting variable target matching information into the target information tag according to the preset fusion strategy to obtain the standard fusion queue.
A third aspect of the application provides a terminal device comprising a processor and a memory, which are in communication with each other, the processor being configured to retrieve a computer program from the memory and to implement the method of any of the first aspect by running the computer program.
A fourth aspect of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed, implements the method of any one of the first aspects.
The technical scheme provided by the embodiment of the disclosure can include the following beneficial effects.
The disclosure provides a cloud edge end information fusion method, a cloud edge end information fusion system, a cloud edge end information fusion device and a cloud edge end information fusion medium. And secondly, acquiring key content characteristics from the target information tag, and further acquiring target content characteristics corresponding to the key content characteristics. And then judging whether the first user service information and the second user service information have difference or not according to the target content characteristics. By the design, fusion failure of the first user service information and the second user service information during fusion can be judged according to the difference between the first user service information and the second user service information, and further, the problem that information fusion time is wasted due to the fact that relevant information cannot be fused can be avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a cloud edge side information fusion method provided in an embodiment of the present application.
Fig. 2 is a block diagram of a cloud edge information fusion device provided in an embodiment of the present application.
Fig. 3 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
In order to achieve the above technical problem, please refer to fig. 1 in combination, a schematic flow diagram of a cloud edge information fusion method is provided, and the contents described in the following steps S110 to S150 are specifically executed when the method is implemented.
Step S110, determining a first target information attribute corresponding to first user service information and a second target information attribute corresponding to second user service information, where the first target information attribute and the second target information attribute respectively include information tags corresponding to multiple different information features.
Step S120, obtaining a sample tag log of any one information tag of the first user service information in the first target information attribute, and determining an information tag having the highest information heat in the second target information attribute as a target information tag.
Step S130, fusing the sample label log into the target information label based on a preset fusion strategy to obtain a standard fusion queue, and determining a first mapping relation between the first user service information and the second user service information according to the sample label log and the standard fusion queue.
Step S140, obtaining key content characteristics in the target information label by taking the standard fusion queue as a target queue, fusing the key content characteristics to the information label where the sample label log is located according to a second mapping relation corresponding to the first mapping relation, obtaining the target content characteristics corresponding to the key content characteristics in the information label where the sample label log is located, determining whether the first user service information and the second user service information are different according to the target content characteristics, and if so, determining that the fusion of the first user service information and the second user service information fails.
The following advantageous effects can be achieved when the method described in the above steps S110 to S140 is performed: firstly, fusing the obtained sample label log into a target information label through a preset fusion strategy to obtain a standard fusion queue, and further determining a first mapping relation between first user service information and second user service information according to the sample label log and the standard fusion queue. And secondly, acquiring key content characteristics from the target information tag, and further acquiring target content characteristics corresponding to the key content characteristics. And then judging whether the first user service information and the second user service information have difference or not according to the target content characteristics. By the design, the situation that the first user service information and the second user service information are blocked during control interaction can be judged according to the situation that the first user service information and the second user service information are different, and further, the problem that information fusion time is wasted due to the fact that relevant information cannot be fused can be avoided.
Optionally, the determining a first target information attribute corresponding to the first user service information and a second target information attribute corresponding to the second user service information includes: acquiring the first user service information and the second user service information; determining the first target information attribute corresponding to the first user service information according to the characteristic attribute information corresponding to the information characteristic; attribute content of any information feature related between two information tags in the first target information attribute is feature attribute information corresponding to the information feature; and determining a second target information attribute corresponding to the second user service information according to the characteristic attribute information corresponding to the information characteristic, wherein the attribute content of the information characteristic between any two associated information tags in the second target information attribute is the characteristic attribute information corresponding to the information characteristic.
Optionally, the fusing the sample tag log into the target information tag based on a preset fusion policy, obtaining the standard fusion queue in the target information tag, and determining a first mapping relationship between the first user service information and the second user service information according to the sample tag log and the standard fusion queue, includes:
fusing the sample label log into the target information label based on the preset fusion strategy, and obtaining the standard fusion queue in the target information label;
acquiring key similar content in the information label where the sample label log is located; wherein the key similar content is the key content taking the sample label log as a standard; fusing the key similar content into the target information label based on the preset fusion strategy to obtain key fusion content in the target information label;
and determining a first mapping relation between the first user service information and the second user service information according to the corresponding list between the sample label log and the key similar content, the standard fusion queue and the key fusion content.
Optionally, the fusing the sample tag log into the target information tag based on a preset fusion policy, and obtaining the standard fusion queue in the target information tag includes: fusing the sample label log into an information mark process to obtain real-time configuration information based on a fusion vector in the preset fusion strategy;
inputting the real-time configuration information into corresponding matching behavior information of the second user service information according to a mutually matched information directory and an adaptive relationship between a preset fusion strategy corresponding to the first user service information and a preset fusion strategy corresponding to the second user service information to obtain target matching information;
and inputting variable target matching information into the target information tag according to the preset fusion strategy to obtain the standard fusion queue.
In view of the above standards, please refer to fig. 2, the present application further provides a block diagram of a cloud edge-side information fusion apparatus 200, where the apparatus includes:
an information attribute determining module 210, configured to determine a first target information attribute corresponding to first user service information and a second target information attribute corresponding to second user service information, where the first target information attribute and the second target information attribute respectively include information tags corresponding to multiple different information features;
an information tag obtaining module 220, configured to obtain a sample tag log of any one information tag of the first user service information in the first target information attribute, and determine an information tag with a highest information heat degree in the second target information attribute as a target information tag;
a mapping relation determining module 230, configured to fuse the sample tag log into the target information tag based on a preset fusion policy to obtain a standard fusion queue, and determine a first mapping relation between the first user service information and the second user service information according to the sample tag log and the standard fusion queue;
an information fusion determining module 240, configured to obtain a key content feature in the target information tag by using the standard fusion queue as a target queue, fuse the key content feature to the information tag where the sample tag log is located according to a second mapping relationship corresponding to the first mapping relationship, obtain a target content feature corresponding to the key content feature in the information tag where the sample tag log is located, determine whether the first user service information and the second user service information are different according to the target content feature, and if so, determine that the fusion of the first user service information and the second user service information is failed.
Optionally, the information attribute determining module is specifically configured to: acquiring the first user service information and the second user service information; determining the first target information attribute corresponding to the first user service information according to the characteristic attribute information corresponding to the information characteristic; attribute content of any information feature related between two information tags in the first target information attribute is feature attribute information corresponding to the information feature; and determining a second target information attribute corresponding to the second user service information according to the characteristic attribute information corresponding to the information characteristic, wherein the attribute content of the information characteristic between any two associated information tags in the second target information attribute is the characteristic attribute information corresponding to the information characteristic.
Optionally, the mapping relationship determining module is specifically configured to:
fusing the sample label log into the target information label based on the preset fusion strategy, and obtaining the standard fusion queue in the target information label;
acquiring key similar content in the information label where the sample label log is located; wherein the key similar content is the key content taking the sample label log as a standard; fusing the key similar content into the target information label based on the preset fusion strategy to obtain key fusion content in the target information label;
and determining a first mapping relation between the first user service information and the second user service information according to the corresponding list between the sample label log and the key similar content, the standard fusion queue and the key fusion content.
Optionally, the mapping relationship determining module is further specifically configured to: fusing the sample label log into an information mark process to obtain real-time configuration information based on a fusion vector in the preset fusion strategy;
inputting the real-time configuration information into corresponding matching behavior information of the second user service information according to a mutually matched information directory and an adaptive relationship between a preset fusion strategy corresponding to the first user service information and a preset fusion strategy corresponding to the second user service information to obtain target matching information;
and inputting variable target matching information into the target information tag according to the preset fusion strategy to obtain the standard fusion queue.
In the above standard, please refer to fig. 3 in combination, a terminal device 300 is provided, which includes a processor 310, and a memory 320 and a bus 330 connected to the processor 310; wherein, the processor 310 and the memory 320 communicate with each other through the bus 330; the processor 310 is used to call the program instructions in the memory 320 to execute the above-mentioned method.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (6)
1. A cloud edge end information fusion method is characterized by comprising the following steps:
determining a first target information attribute corresponding to first user service information and a second target information attribute corresponding to second user service information, wherein the first target information attribute and the second target information attribute respectively comprise information labels corresponding to multiple different information characteristics;
acquiring a sample label log of any one information label of the first user service information in the first target information attribute, and determining an information label with the highest information heat in the second target information attribute as a target information label;
fusing the sample label log into the target information label based on a preset fusion strategy to obtain a standard fusion queue, and determining a first mapping relation between the first user service information and the second user service information according to the sample label log and the standard fusion queue;
acquiring key content features in the target information label by taking the standard fusion queue as a target queue, fusing the key content features to the information label where the sample label log is located according to a second mapping relation corresponding to the first mapping relation, obtaining the target content features corresponding to the key content features in the information label where the sample label log is located, determining whether the first user service information and the second user service information are different according to the target content features, and if so, determining that the fusion of the first user service information and the second user service information fails;
the fusing the sample tag log into the target information tag based on a preset fusion strategy, obtaining the standard fusion queue in the target information tag, and determining a first mapping relationship between the first user service information and the second user service information according to the sample tag log and the standard fusion queue includes:
fusing the sample label log into the target information label based on the preset fusion strategy, and obtaining the standard fusion queue in the target information label;
acquiring key similar content in the information label where the sample label log is located; wherein the key similar content is the key content taking the sample label log as a standard;
fusing the key similar content into the target information label based on the preset fusion strategy to obtain key fusion content in the target information label;
determining a first mapping relation between the first user service information and the second user service information according to a corresponding list between the sample label log and the key similar content, the standard fusion queue and the key fusion content;
the fusing the sample tag log into the target information tag based on a preset fusion strategy to obtain the standard fusion queue in the target information tag includes:
fusing the sample label log into an information mark process to obtain real-time configuration information based on a fusion vector in the preset fusion strategy;
inputting the real-time configuration information into corresponding matching behavior information of the second user service information according to a mutually matched information directory and an adaptive relationship between a preset fusion strategy corresponding to the first user service information and a preset fusion strategy corresponding to the second user service information to obtain target matching information;
and inputting variable target matching information into the target information tag according to the preset fusion strategy to obtain the standard fusion queue.
2. The method of claim 1, wherein determining a first target information attribute corresponding to the first user service information and a second target information attribute corresponding to the second user service information comprises:
acquiring the first user service information and the second user service information;
determining the first target information attribute corresponding to the first user service information according to the characteristic attribute information corresponding to the information characteristic; attribute content of any information feature related between two information tags in the first target information attribute is feature attribute information corresponding to the information feature;
and determining a second target information attribute corresponding to the second user service information according to the characteristic attribute information corresponding to the information characteristic, wherein the attribute content of the information characteristic between any two associated information tags in the second target information attribute is the characteristic attribute information corresponding to the information characteristic.
3. A cloud edge end information fusion device, the device comprising:
the information attribute determining module is used for determining a first target information attribute corresponding to first user service information and a second target information attribute corresponding to second user service information, wherein the first target information attribute and the second target information attribute respectively comprise information tags corresponding to a plurality of different information characteristics;
an information mark obtaining module, configured to obtain a sample label log of any one information label of the first user service information in the first target information attribute, and determine an information label with a highest information heat degree in the second target information attribute as a target information label;
the mapping relation determining module is used for fusing the sample label log into the target information label based on a preset fusion strategy to obtain a standard fusion queue, and determining a first mapping relation between the first user service information and the second user service information according to the sample label log and the standard fusion queue;
the information fusion judging module is used for acquiring key content features in the target information labels by taking the standard fusion queue as a target queue, fusing the key content features into the information labels where the sample label logs are located according to a second mapping relation corresponding to the first mapping relation, acquiring the target content features corresponding to the key content features in the information labels where the sample label logs are located, determining whether the first user service information and the second user service information are different according to the target content features, and judging that the first user service information and the second user service information are failed in fusion if the first user service information and the second user service information are different;
the mapping relationship determining module is specifically configured to:
fusing the sample label log into the target information label based on the preset fusion strategy, and obtaining the standard fusion queue in the target information label;
acquiring key similar content in the information label where the sample label log is located; wherein the key similar content is the key content taking the sample label log as a standard; fusing the key similar content into the target information label based on the preset fusion strategy to obtain key fusion content in the target information label;
determining a first mapping relation between the first user service information and the second user service information according to a corresponding list between the sample label log and the key similar content, the standard fusion queue and the key fusion content;
the mapping relationship determining module is specifically further configured to: fusing the sample label log into an information mark process to obtain real-time configuration information based on a fusion vector in the preset fusion strategy;
inputting the real-time configuration information into corresponding matching behavior information of the second user service information according to a mutually matched information directory and an adaptive relationship between a preset fusion strategy corresponding to the first user service information and a preset fusion strategy corresponding to the second user service information to obtain target matching information;
and inputting variable target matching information into the target information label according to the preset fusion strategy to obtain the standard fusion queue.
4. The apparatus of claim 3, wherein the information attribute determination module is specifically configured to: acquiring the first user service information and the second user service information; determining the first target information attribute corresponding to the first user service information according to the characteristic attribute information corresponding to the information characteristic; attribute content of any information feature related between two information tags in the first target information attribute is feature attribute information corresponding to the information feature; and determining a second target information attribute corresponding to the second user service information according to the characteristic attribute information corresponding to the information characteristic, wherein the attribute content of the information characteristic between any two associated information tags in the second target information attribute is the characteristic attribute information corresponding to the information characteristic.
5. A terminal device, comprising a processor and a memory in communication with each other, the processor being configured to retrieve a computer program from the memory and to implement the method of any one of claims 1 and 2 by executing the computer program.
6. A computer-readable storage medium, on which a computer program is stored which, when executed, implements the method of any of claims 1 and 2.
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