CN113961571B - Multi-mode data sensing method and device based on data probe - Google Patents
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Abstract
The disclosure provides a multi-modal data sensing method, a device and computer equipment based on a data probe, wherein the method comprises the following steps: determining that a perception scene meets a set condition, acquiring scene characteristics, acquiring multiple kinds of initial modal data in the scene based on a data probe, respectively performing data conversion on the multiple kinds of initial modal data according to the scene characteristics to obtain multiple kinds of modal data to be matched, respectively performing matching processing on the multiple kinds of modal data to be matched according to a preset rule to obtain multiple kinds of target modal data, and generating data coding information according to the multiple kinds of target modal data. By the method and the device, the perception of the data probes on the multi-modal data in the scene is realized, the flexible data conversion, matching and data coding generation processing on the multi-perceived initial modal data are realized, and the data probes and the recognition processing efficiency on the multi-modal data are effectively improved.
Description
Technical Field
The disclosure relates to the technical field of distributed data processing, in particular to a multi-modal data sensing method and device based on a data probe.
Background
With the development of internet technology, multimodal data in the whole social field are increased on a large scale, and the multimodal data usually has a problem of context linkage between machine language and business language, and needs to be detected and identified for multimodal data of each data source in the urban field.
In the related art, the processing of the multi-modal data is affected by the characteristic sparsity and deficiency of the multi-modal data, and the data processing effect is poor.
Disclosure of Invention
The present disclosure is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the present disclosure aims to provide a data probe-based multi-modal data sensing method, an apparatus, a computer device, a storage medium, and a computer program product, so as to implement sensing between multiple modal data in a scene based on a data probe, implement flexible data conversion, matching, and data encoding generation processing on multiple sensed initial modal data, and effectively improve data probe and recognition processing efficiency on multiple modal data.
The embodiment of the first aspect of the present disclosure provides a multi-modal data perception method based on a data probe, including: determining that a perception scene meets a set condition, and acquiring scene characteristics; acquiring multiple kinds of initial modal data in the scene based on a data probe; respectively performing data conversion on the multiple kinds of initial modal data according to the scene characteristics to obtain multiple kinds of modal data to be matched; respectively matching the multiple kinds of modal data to be matched according to a preset rule to obtain multiple kinds of target modal data; and generating data coding information according to the multiple target modal data.
The multi-modal data perception method based on the data probe provided by the embodiment of the first aspect of the disclosure is implemented by determining that a perception scene meets a set condition, and acquiring scene characteristics, acquiring multiple kinds of initial modal data in the scene based on the data probe, respectively carrying out data conversion on the plurality of kinds of initial modal data according to the scene characteristics to obtain a plurality of kinds of modal data to be matched, respectively matching the plurality of modal data to be matched according to a preset rule to obtain a plurality of target modal data, according to the multiple target modal data, data coding information is generated, perception of the multiple modal data in a scene based on a data probe is achieved, flexible data conversion, matching and data coding generation processing are achieved for the multiple perceived initial modal data, and the data probe and identification processing efficiency of the multiple modal data are effectively improved.
The data probe-based multi-modal data perception device provided by the embodiment of the second aspect of the disclosure comprises: the first determining module is used for determining that the perception scene meets the set conditions and acquiring scene characteristics; the first acquisition module is used for acquiring multiple kinds of initial modal data in the scene based on a data probe; the conversion module is used for respectively carrying out data conversion on the multiple kinds of initial modal data according to the scene characteristics so as to obtain multiple kinds of modal data to be matched; the matching module is used for respectively matching the multiple kinds of modal data to be matched according to a preset rule so as to obtain multiple kinds of target modal data; and the generating module is used for generating data coding information according to the multiple target modal data.
The multi-modal data perception device based on the data probe provided by the embodiment of the second aspect of the disclosure can determine that the perception scene meets the set condition, and acquiring scene characteristics, acquiring multiple kinds of initial modal data in the scene based on the data probe, respectively carrying out data conversion on the plurality of kinds of initial modal data according to the scene characteristics to obtain a plurality of kinds of modal data to be matched, respectively matching the plurality of modal data to be matched according to a preset rule to obtain a plurality of target modal data, according to the multiple target modal data, data coding information is generated, perception of the multiple modal data in a scene based on a data probe can be achieved, flexible data conversion, matching and data coding generation processing of the multiple perceived initial modal data are achieved, and the data probe and identification processing efficiency of the multiple modal data are effectively improved.
An embodiment of a third aspect of the present disclosure provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the processor implements the multi-modal data sensing method based on the data probe as proposed in the embodiment of the first aspect of the present disclosure.
A fourth aspect of the present disclosure provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a data probe-based multimodal data perception method as set forth in the first aspect of the present disclosure.
A fifth aspect of the present disclosure provides a computer program product, which when executed by an instruction processor performs the data probe-based multimodal data perception method as set forth in the first aspect of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a multi-modal data sensing method based on a data probe according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a data encoding generation flow in an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram of a multi-modal data sensing method based on a data probe according to another embodiment of the present disclosure;
FIG. 4 is a schematic flow chart diagram of a multi-modal data sensing method based on a data probe according to another embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a data encoding generation flow based on feature recognition in the embodiment of the present disclosure;
FIG. 6 is a schematic structural diagram of a multi-modal data sensing apparatus based on a data probe according to an embodiment of the present disclosure;
FIG. 7 is a schematic structural diagram of a multi-modal data sensing apparatus based on a data probe according to another embodiment of the present disclosure;
FIG. 8 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of illustrating the present disclosure and should not be construed as limiting the same. On the contrary, the embodiments of the disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a schematic flow chart of a multi-modal data sensing method based on a data probe according to an embodiment of the present disclosure.
The present embodiment is exemplified by the data probe-based multi-modal data sensing method being configured as a data probe-based multi-modal data sensing apparatus, in the present embodiment, the data probe-based multi-modal data sensing method may be configured in the data probe-based multi-modal data sensing apparatus, and the data probe-based multi-modal data sensing apparatus may be disposed in a server or may also be disposed in a computer device, which is not limited thereto.
The embodiment takes the example that the multi-modal data perception method based on the data probe is configured in the computer equipment. Among them, computer devices such as smart phones, tablet computers, personal digital assistants, electronic books, and other hardware devices having various operating systems.
It should be noted that the execution subject of the embodiment of the present disclosure may be, for example, a Central Processing Unit (CPU) in a server or a computer device in hardware, and may be, for example, a related background service in a server or a computer device in software, which is not limited to this.
As shown in fig. 1, the multi-modal data perception method based on the data probe includes:
s101: and determining that the perception scene meets the set conditions, and acquiring scene characteristics.
The perception scene is a scene to be subjected to data acquisition, and the acquired data can be stored in an interactive database.
The scene characteristics refer to common data characteristics of the data in the scene, and the data characteristics may be a storage structure, a storage type, and the like of the data in the database in the scene.
The set condition may be a check condition set in advance for building a table in the interaction database for a plurality of perception scenes, and is used to check whether data links can be built with the interaction database and data operations such as building the table on the interaction database.
In the embodiment of the disclosure, when it is determined that the perception scene meets the setting condition, it is checked whether a link can be established with the interactive database, if the link can be established with the interactive database, it is determined that the perception scene meets the setting condition, it can also be checked whether the database type of the interactive database is compatible with the data type in the current perception scene, if the database type of the interactive database is compatible with the data type in the current perception scene, it is determined that the perception scene meets the setting condition, or it can be determined that the perception scene meets the setting condition by adopting any other way, which is not limited.
In the embodiment of the present disclosure, when the scene feature is obtained, the data feature in the perception scene may be extracted as the scene feature in the perception scene.
S102: multiple initial modality data in a scene are acquired based on a data probe.
The multiple modality data refers to data in different data formats in multiple different data sources, the multiple initial modality data refers to multiple modality data before processing the obtained data, and the data in different data formats may be, for example, text data, message data, interface data, structured data, unstructured data, and the like, which is not limited to this.
The data probe can be used for detecting and acquiring data in a scene, and can also be used for acquiring data packaging interfaces and transmitting multi-modal data.
In the embodiment of the present disclosure, when acquiring multiple initial modal data in a scene based on a data probe, the data probe may be performed on multiple data sources in the scene based on the data probe to acquire multiple initial modal data of the multiple data sources, or the data probe may be used to monitor data in a data channel continuously, and multiple concurrently executed threads are used to acquire the data to acquire the multiple initial modal data in the scene.
S103: and respectively carrying out data conversion on the multiple initial modal data according to the scene characteristics to obtain multiple modal data to be matched.
The modal data to be matched is obtained by performing data conversion on the initial modal data, and the data of the corresponding data dictionary is not established.
After the multiple initial modal data in the scene are obtained, the data conversion can be respectively performed on the multiple initial modal data according to the scene characteristics, so as to obtain multiple modal data to be matched.
In the embodiment of the disclosure, when the multiple initial modal data are respectively subjected to data conversion according to the scene characteristics, the acquired multiple heterogeneous initial modal data can be subjected to heterogeneous data identification processing, and the processed multiple initial modal data are subjected to data filtering, summary calculation and data splicing processing, so that the processed multiple modal data are obtained and serve as multiple modal data to be matched.
S104: and respectively carrying out matching processing on the multiple modal data to be matched according to a preset rule so as to obtain multiple target modal data.
The preset rule may be a data dictionary establishing rule for performing data matching setting on multiple types of modal data to be matched.
The target modal data refers to data which is converted into a database table storage format after matching processing.
In the embodiment of the disclosure, when the multiple kinds of modal data to be matched are respectively subjected to matching processing according to the preset rule to obtain multiple kinds of target modal data, the multiple kinds of modal data to be matched may be subjected to data matching processing according to the preset rule, multi-source data mapping processing may be performed on the multiple kinds of modal data to be matched, a data dictionary may be established, and the multiple kinds of modal data to be matched are converted into target modal data in a database storage format.
S105: and generating data coding information according to the data of the plurality of target modes.
Wherein, the data encoding information can be used for describing data encoding of multiple target modality data, and the data encoding information includes: codes, metadata (including data names and corresponding data volumes), addresses (including system databases and database access masks), and access rules (including plaintext and ciphertext).
According to the embodiment of the disclosure, after the multiple kinds of modal data to be matched are respectively subjected to matching processing according to the preset rule to obtain multiple kinds of target modal data, data coding information can be generated according to the multiple kinds of target modal data, when the data coding information is generated according to the multiple kinds of target modal data, the data coding information can be automatically generated according to data dictionary information of the multiple kinds of target modal data, and automatic correction processing of data coding can be realized by adopting a collaborative filtering feature recognition method based on a weighted user to realize generation of the data coding information according to the multiple kinds of target modal data.
For example, as shown in fig. 2, fig. 2 is a schematic diagram of a data encoding generation process in an embodiment of the present disclosure, and first, detection and identification are performed on multiple types of modal data in a scene based on a data probe, multiple types of initial modal data in the scene are obtained, data integration, heterogeneous data identification and other processing are performed on the multiple types of initial modal data, then, data conversion processing such as summary calculation and data splicing is performed on the multiple types of initial modal data to obtain multiple types of modal data to be matched, multi-source data matching processing is performed on the multiple types of modal data to be matched to generate multiple types of target modal data, data encoding information is generated according to the multiple types of target modal data, and the data encoding information may also be corrected to obtain corrected data encoding information.
In the embodiment, the sensing scene is determined to meet the set condition, the scene characteristics are acquired, multiple kinds of initial modal data in the scene are acquired based on the data probe, the multiple kinds of initial modal data are respectively subjected to data conversion according to the scene characteristics to obtain multiple kinds of modal data to be matched, the multiple kinds of modal data to be matched are respectively subjected to matching processing according to the preset rules to obtain multiple kinds of target modal data, data coding information is generated according to the multiple kinds of target modal data, the sensing among the multiple kinds of modal data in the scene based on the data probe is achieved, the flexible data conversion, matching and data coding generation processing of the multiple kinds of sensed initial modal data are achieved, and the data probe and the recognition processing efficiency of the multiple kinds of modal data are effectively improved.
Fig. 3 is a schematic flow chart of a multi-modal data perception method based on a data probe according to another embodiment of the present disclosure.
As shown in fig. 3, the multi-modal data perception method based on the data probe includes:
s301: and determining database access key information of the source database of the unit to which the initial modal data belong.
The database access key information is used for authorization information for accessing a source database of a unit, and the database access key information can be used for identity verification of a data acquirer.
In the embodiment of the disclosure, when determining the database access key information of the source data of the unit of the multiple initial modality data, the unit may submit a data interaction acquisition application, and after the data interaction application is approved, the authorization information of the obtained unit may be acquired as the database access key information of the unit of the multiple initial modality data.
S302: and acquiring the access authority of the source database indicating the unit to which the database belongs according to the database access key information.
The access right of the source data can be used for judging the access right of the data acquirer when accessing the source database, the access right can be used for indicating the data range in the source database which can be acquired and data processing operation which can be performed on the data, and the authenticity and the safety in the data interaction process can be enhanced by verifying the access right.
After the database access key information of the source database of the unit to which the multiple types of initial modality data belong is determined, the access right indicating the source database of the unit can be acquired according to the database access key information.
When the access right of the source database indicating the unit to which the access right belongs is obtained according to the database access key information, the identity verification and the judgment of the access right of the source database can be performed according to the database access key information, so that the access right of the source database indicating the unit to which the access right belongs can be obtained.
S303: and determining that the perception scene meets the set conditions, and acquiring scene characteristics.
For the description of S303, reference may be made to the above embodiments, which are not described herein again.
S304: and accessing the corresponding source database by using the access authority based on the data probe to acquire the multiple initial modal data in the scene.
In the embodiment of the present disclosure, when the data probe accesses the corresponding source database with the access right to obtain multiple types of initial modal data in the scene, the data probe may link the corresponding source database with the access right, perform one-to-one copy processing on the source data in the applied source database, and copy the corresponding contents such as the data table information, the field information, and the field type as the multiple types of initial modal data in the scene.
S305: and respectively carrying out data conversion on the multiple initial modal data according to the scene characteristics to obtain multiple modal data to be matched.
S306: and respectively carrying out matching processing on the multiple modal data to be matched according to a preset rule so as to obtain multiple target modal data.
S307: and generating data coding information according to the data of the plurality of target modes.
For the description of S305-S307, reference may be made to the above embodiments, which are not described herein again.
S308: and packaging the target modal data according to the data coding information to obtain a modal data block.
In the embodiment of the present disclosure, after the data encoding information is generated, data reading and packing may be performed on multiple target modality data according to the data encoding information, and packing may be performed on multiple target modality data from multiple data sources according to the encoding, the metadata, the address, and the access rule in the data encoding information, so as to obtain a processed modality data block.
S309: the modal data blocks are written into the controllable chain code driving mechanism according to the data coding information.
In the embodiment of the present disclosure, after the multiple target modal data are packed according to the data encoding information to obtain the modal data block, the modal data block obtained by processing and the corresponding data encoding information may be associated according to the data encoding information, and the modal data block is written into the corresponding controllable chain code driving mechanism.
S310: and constructing a data chain pipeline between the data probe and the source database table and the target database table respectively.
The data probe and the data source database and the data target database are respectively connected through the data link pipeline, the data probe and the data target database are connected through the data link pipeline, and the data probe and the data target database are connected through the data link pipeline.
In the embodiment of the present disclosure, when the data probe is configured to be respectively connected to the data link pipelines between the source database table and the target database table, the data probe may be used to interface the source database table and the target database table, so as to construct a database access base to support further database operations, where the database operations may be structure detection, data reading, data writing, data formatting, association with data coding, and the like of the database table, and may further include an expansion capability of further operations such as database table creation, and the like, so as to implement construction of the data link pipelines between the data probe and the source database table and between the data probe and the target database table, and a basic operation capability of the data link pipelines on the source database table and the target database table.
S311: and determining a target database matched with the source database table according to the scene characteristics.
In the embodiment of the disclosure, when the target database matched with the source database table is determined according to the scene characteristics, the data probe may be triggered to execute the handshake process between the source data source and the target data source according to the interactive related contract drive of the controllable chain code drive mechanism, and the link process is completed to determine the target database matched with the source database table.
S312: and writing the target modal data of the plurality of modal data blocks into a target database table through a numerical chain pipeline according to the data coding information.
After the target database matched with the source database table is determined, the multiple target modal data of the modal data block can be written into the target database through the numerical chain pipeline according to the data coding information, the multiple target modal data of the modal data block can be subjected to data transmission through the numerical chain pipeline by using the data probe, table building operation is performed in the target database to obtain a target database table, the multiple target modal data of the modal data block are written into the target database table, and data updating and synchronous processing from the source database table to the target database table are achieved.
In the embodiment, the sensing scene meets the set condition and the scene characteristics are acquired, the multiple kinds of initial modal data in the scene are acquired based on the data probe, the multiple kinds of initial modal data are respectively subjected to data conversion according to the scene characteristics to obtain multiple kinds of modal data to be matched, the multiple kinds of modal data to be matched are respectively subjected to matching processing according to the preset rules to obtain multiple kinds of target modal data, data coding information is generated according to the multiple kinds of target modal data, the sensing among the multiple kinds of modal data in the scene based on the data probe is realized, the flexible data conversion, matching and data coding generation processing are realized on the multiple kinds of sensed initial modal data, the data probe and identification processing efficiency of the multiple kinds of modal data are effectively improved, and the identities of a data acquirer and a data receiver can be verified when the data are acquired through a chain pipeline, and the authority judgment is carried out on the data access based on the authorization information of the data chain pipeline, so that the authenticity and the safety of the data interaction process are enhanced.
Fig. 4 is a schematic flow chart of a multi-modal data perception method based on a data probe according to another embodiment of the present disclosure.
As shown in fig. 4, the multi-modal data perception method based on the data probe includes:
s401: and determining that the perception scene meets the set conditions, and acquiring scene characteristics.
Optionally, in some embodiments, when it is determined that the sensing scenario satisfies the set condition, it may be determined that the controllable chain code driving mechanism and the data probe may link to the target database, and/or it may be determined that both the controllable chain code driving mechanism and the data probe may be compatible with the source database type and both support data probe exchange, and/or it may be determined that the controllable chain code driving mechanism and the data probe complete an automated table building protocol process, and a table building action in the target database is completed by the controllable chain code driving mechanism, and/or it is determined that both the controllable chain code driving mechanism and the data probe already have data source link information corresponding to the target database, where the data source link information is used to link to the source database, and/or it is determined that the controllable chain code driving mechanism has data definition language DDL authority of the target database, and the controllable chain code driving mechanism may automatically build a table on the target database, therefore, the perception scene can be determined to meet the set conditions based on various set conditions, the formation of a data transmission path is ensured, automatic table building operation can be carried out on the interaction target database, and subsequent interaction processing on the data is effectively assisted.
The target database is a database to be subjected to data processing operations such as data interaction and data transmission.
The source database type refers to a data storage mode type of data in the source database, and the source database may be a relational database, a non-relational database, a key-value database, or the like.
The data source link information is used to establish a link with a source database, and the database link information may include access right information of the database, and the like.
In the embodiment of the present disclosure, when it is determined that the perception scene meets the setting condition, it may be determined whether the interaction target database of the multi-modal database may be automatically tabulated, where the setting condition may be: determining that both a controllable chain code driving mechanism and a data probe can be linked with a target database, determining that both the controllable chain code driving mechanism and the data probe can be compatible with a source database type and support data probe exchange, determining that both the controllable chain code driving mechanism and the data probe complete an automatic table establishment protocol process, completing a table establishment behavior in the target database by the controllable chain code driving mechanism, determining that both the controllable chain code driving mechanism and the data probe have data source link information corresponding to the target database, determining that the controllable chain code driving mechanism has Data Definition Language (DDL) authority of the target database, automatically establishing a table on the target database by the controllable chain code driving mechanism, and combining a plurality of set conditions to determine that a sensing scene meets the set conditions.
S402: and triggering the data probe to execute the handshake process of the source database and the target database according to the related contract drive of the controllable chain code drive mechanism data scheduling so as to complete the link process.
The controllable chain code driving mechanism is driven by relevant contracts of data scheduling, data interaction operation of a source database and a target database can be achieved, the modes include data interface, database table synchronization, privacy calculation and the like, and full-process automatic operation and traceability are achieved.
The handshake process between the source database and the target database refers to a process of establishing a data link between the source database and the target database.
In the embodiment of the disclosure, before acquiring multiple initial modal data in a scene based on a data probe, a data probe may be triggered to execute a handshake process between a source database and a target database according to a related contract drive scheduled by a controllable chain code drive mechanism data to complete a link process, and then the data probe may execute a data probe task and exchange detected full data and incremental data to the target database through a data chain channel.
S403: multiple initial modality data in a scene are acquired based on a data probe.
S404: and respectively carrying out data conversion on the multiple initial modal data according to the scene characteristics to obtain multiple modal data to be matched.
S405: and respectively carrying out matching processing on the multiple modal data to be matched according to a preset rule so as to obtain multiple target modal data.
For the description of S403-S405, reference may be made to the above embodiments, which are not described herein again.
S406: and generating codes, metadata, addresses and access rules respectively corresponding to the target modal data.
After the various modal data to be matched are respectively matched according to the preset rules to obtain various target modal data, the disclosed embodiment can respectively generate corresponding codes, metadata, addresses and access rules according to the target modal data.
S407: the encoding, metadata, address, and access rules are collectively referred to as data encoding information.
In the embodiment of the present disclosure, after generating the codes, the metadata, the addresses, and the access rules respectively corresponding to the target modality data, the codes, the metadata, the addresses, and the access rules may be collectively used as data coding information.
For example, as shown in fig. 5, fig. 5 is a schematic diagram of a data encoding generation flow based on feature recognition in the embodiment of the present disclosure, which is implemented by detecting and recognizing multiple types of modal data in a scene based on a data probe, obtaining multiple types of initial modal data in the scene, performing data conversion processing on the multiple types of initial modal data to obtain multiple types of modal data to be matched, performing data matching processing on the multiple types of modal data to generate multiple types of target modal data, and generating codes, metadata, addresses, and access rules corresponding to the target modal data according to the multiple types of target modal data, where the codes, the metadata, the addresses, and the access rules may be used together as data encoding information, and the data encoding information may be corrected to obtain corrected data encoding information.
In the embodiment of the disclosure, the perception scene is determined to meet the setting conditions and obtain the scene characteristics, the multiple kinds of initial modal data in the scene are obtained based on the data probe, the multiple kinds of initial modal data are respectively subjected to data conversion according to the scene characteristics to obtain multiple kinds of modal data to be matched, the multiple kinds of modal data to be matched are respectively subjected to matching processing according to the preset rules to obtain multiple kinds of target modal data, data coding information is generated according to the multiple kinds of target modal data, the perception of the multiple kinds of modal data in the scene based on the data probe is realized, the flexible data conversion, matching and data coding generation processing of the multiple kinds of perceived initial modal data are realized, the data probe and recognition processing efficiency of the multiple kinds of modal data are effectively improved, the perception scene is determined to meet the setting conditions based on the multiple kinds of setting conditions, and the formation of data transmission paths is ensured, the automatic table building operation can be carried out on the interaction target database, and the subsequent interaction processing on the data is effectively assisted.
Fig. 6 is a schematic structural diagram of a multi-modal data sensing apparatus based on a data probe according to an embodiment of the present disclosure.
As shown in fig. 6, the data probe-based multi-modal data sensing apparatus 60 includes:
a first determining module 601, configured to determine that a perception scene meets a set condition, and obtain a scene characteristic;
a first obtaining module 602, configured to obtain multiple initial modality data in a scene based on a data probe;
a conversion module 603, configured to perform data conversion on the multiple initial modal data according to the scene characteristics, respectively, to obtain multiple modal data to be matched;
the matching module 604 is configured to perform matching processing on the multiple types of modal data to be matched according to a preset rule, so as to obtain multiple types of target modal data;
a generating module 605, configured to generate data encoding information according to the multiple target modality data.
In some embodiments of the present disclosure, as shown in fig. 7, fig. 7 is a schematic structural diagram of a multi-modal data sensing apparatus based on a data probe according to another embodiment of the present disclosure, further including:
a second determining module 606, configured to determine database access key information of a source database of a unit to which multiple types of initial modal data belong before determining that a perceptual scene meets a set condition and acquiring a scene characteristic;
a second obtaining module 607, configured to obtain, according to the database access key information, an access right indicating a source database of a unit to which the database belongs;
the first obtaining module 602 is specifically configured to:
and accessing the corresponding source database by using the access authority based on the data probe to acquire the multiple initial modal data in the scene.
In some embodiments of the present disclosure, the method further comprises:
a first processing module 608, configured to, after generating data encoding information according to multiple target modality data, perform packing processing on the multiple target modality data according to the data encoding information to obtain a modality data block;
the second processing module 609 is configured to write the modal data block into the chain code controllable driving mechanism according to the data encoding information.
In some embodiments of the present disclosure, further comprising:
the construction module 610 is configured to construct a data link pipeline between the data probe and the source database table and between the data probe and the target database table, respectively, after writing the modal data block into the controllable link code driving mechanism according to the data encoding information;
a third determining module 611, configured to determine, according to the scene characteristic, a target database that matches the source database table;
the third processing module 612 is configured to write, according to the data encoding information, a plurality of target modality data belonging to the modality data block into the target database table through the data chain pipeline.
In some embodiments of the present disclosure, the first determining module 601 is specifically configured to:
determining a controllable chain code driving mechanism and a target database which can be linked by a data probe; and/or
Determining that the controllable chain code driving mechanism and the data probe are compatible with a source database type and both support data probe exchange; and/or
Determining that the controllable chain code driving mechanism and the data probe complete an automatic table establishment protocol process, and completing a table establishment behavior in a target database by the controllable chain code driving mechanism; and/or
Determining that both the controllable chain code driving mechanism and the data probe have data source link information corresponding to the target database, wherein the data source link information is used for linking the source database; and/or
And determining that the controllable chain code driving mechanism has the data definition language DDL authority of the target database, wherein the controllable chain code driving mechanism can automatically build a table on the target database.
In some embodiments of the present disclosure, further comprising:
the fourth processing module 613 is configured to trigger the data probe to execute a handshake process between the source database and the target database according to a related contract drive scheduled by the controllable chain code drive mechanism data before the data probe acquires multiple initial modal data in a scene, so as to complete a link process.
In some embodiments of the present disclosure, the generating module 605 is specifically configured to:
generating codes, metadata, addresses and access rules respectively corresponding to the target modal data;
the encoding, metadata, address, and access rules are collectively referred to as data encoding information.
Corresponding to the multi-modal data sensing method based on the data probe provided in the embodiments of fig. 1 to 5, the present disclosure also provides a multi-modal data sensing apparatus based on the data probe, and since the multi-modal data sensing apparatus based on the data probe provided in the embodiments of the present disclosure corresponds to the multi-modal data sensing method based on the data probe provided in the embodiments of fig. 1 to 5, the embodiment of the multi-modal data sensing method based on the data probe provided in the embodiments of the present disclosure is also applicable to the multi-modal data sensing apparatus based on the data probe provided in the embodiments of the present disclosure, and will not be described in detail in the embodiments of the present disclosure.
In the embodiment of the disclosure, the perception scene is determined to meet the set condition, the scene characteristics are acquired, multiple kinds of initial modal data in the scene are acquired based on the data probe, the multiple kinds of initial modal data are respectively subjected to data conversion according to the scene characteristics to obtain multiple kinds of modal data to be matched, the multiple kinds of modal data to be matched are respectively subjected to matching processing according to the preset rules to obtain multiple kinds of target modal data, data coding information is generated according to the multiple kinds of target modal data, perception between the multiple kinds of modal data in the scene based on the data probe is achieved, flexible data conversion, matching and data coding generation processing are achieved on the multiple kinds of perceived initial modal data, and the data probe and recognition processing efficiency of the multiple kinds of modal data are effectively improved.
In order to implement the foregoing embodiments, the present disclosure also provides a computer device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein when the processor executes the program, the multi-modal data perception method based on the data probe is realized.
In order to achieve the above embodiments, the present disclosure also proposes a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a data probe-based multimodal data perception method as proposed by the aforementioned embodiments of the present disclosure.
In order to implement the foregoing embodiments, the present disclosure also proposes a computer program product, which when executed by an instruction processor in the computer program product, performs the data probe-based multimodal data perception method as proposed by the foregoing embodiments of the present disclosure.
FIG. 8 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present disclosure. The computer device 12 shown in fig. 8 is only one example and should not bring any limitations to the functionality or scope of use of the embodiments of the present disclosure.
As shown in FIG. 8, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Although not shown in FIG. 8, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described in this disclosure.
The processing unit 16 executes various functional applications and data processing by running a program stored in the system memory 28, for example, implementing the data probe-based multimodal data perception method mentioned in the foregoing embodiments.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure 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 present disclosure is limited only by the appended claims.
It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (12)
1. A multi-modal data perception method based on a data probe is characterized by comprising the following steps:
determining that a perception scene meets a set condition, and acquiring scene characteristics;
acquiring multiple kinds of initial modal data in the scene based on a data probe;
respectively performing data conversion on the multiple kinds of initial modal data according to the scene characteristics to obtain multiple kinds of modal data to be matched;
respectively matching the multiple kinds of modal data to be matched according to a preset rule to obtain multiple kinds of target modal data;
generating data coding information according to the multiple target modal data;
wherein, after generating data encoding information according to the plurality of target modality data, the method further comprises:
packing the multiple target modal data according to the data coding information to obtain a modal data block;
writing the modal data blocks into a controllable chain code driving mechanism according to the data encoding information,
after the writing the modal data block into the controllable chain code driving mechanism according to the data encoding information, the method further includes:
constructing a data probe, and establishing a data chain pipeline between the data probe and a source database table and a target database table respectively;
determining a target database matched with the source database table according to the scene characteristics;
and writing the target modal data of the modal data block into the target database table through the data chain pipeline according to the data coding information.
2. The method of claim 1, wherein before the determining that the perceived scene satisfies the set condition and obtaining the scene features, further comprising:
determining database access key information of a source database of a unit to which the plurality of initial modal data belong;
acquiring access authority indicating the source database of the unit according to the database access key information;
wherein the acquiring of multiple initial modality data in the scene based on the data probe comprises:
and accessing the corresponding source database by using the access right based on a data probe to acquire multiple kinds of initial modal data in the scene.
3. The method of claim 1, wherein the determining that the perceptual scene satisfies a set condition comprises:
determining a target database which can be linked by the controllable chain code driving mechanism and the data probe; and/or
Determining that the controllable chain code driving mechanism and the data probe are compatible with a source database type and support data probe exchange; and/or
Determining that the controllable chain code driving mechanism and the data probe complete an automatic table establishment protocol process, and completing a table establishment behavior in the target database by the controllable chain code driving mechanism; and/or
Determining that both the controllable chain code driving mechanism and the data probe have data source link information corresponding to the target database, wherein the data source link information is used for linking a source database; and/or
And determining that the controllable chain code driving mechanism has the Data Definition Language (DDL) authority of the target database, wherein the controllable chain code driving mechanism can automatically build a table on the target database.
4. The method of claim 1, prior to the acquiring a plurality of initial modality data in the scene based on the data probe, further comprising:
and triggering the data probe to execute a handshake process of the source database and the target database according to the related contract drive of the controllable chain code drive mechanism data scheduling so as to complete a link process.
5. The method according to claim 1, wherein generating data encoding information from the plurality of target modality data comprises:
generating codes, metadata, addresses and access rules respectively corresponding to the target modal data;
and using the code, the metadata, the address and the access rule as the data coding information together.
6. A multi-modal data sensing apparatus based on a data probe, comprising:
the first determining module is used for determining that the perception scene meets the set conditions and acquiring scene characteristics;
the first acquisition module is used for acquiring multiple kinds of initial modal data in the scene based on a data probe;
the conversion module is used for respectively carrying out data conversion on the multiple kinds of initial modal data according to the scene characteristics so as to obtain multiple kinds of modal data to be matched;
the matching module is used for respectively matching the multiple kinds of modal data to be matched according to a preset rule so as to obtain multiple kinds of target modal data;
the generating module is used for generating data coding information according to the multiple target modal data;
wherein the apparatus further comprises:
the first processing module is used for packing the multiple target modal data according to the data coding information after the data coding information is generated according to the multiple target modal data to obtain a modal data block;
the second processing module is used for writing the modal data block into a controllable chain code driving mechanism according to the data coding information;
the construction module is used for constructing a data chain pipeline between the data probe and a source database table and between the data probe and a target database table respectively after the modal data block is written into a controllable chain code driving mechanism according to the data coding information;
a third determining module, configured to determine, according to the scene characteristic, a target database that is matched with the source database table;
and the third processing module is used for writing the multiple target modal data of the modal data block into the target database table through the numerical chain pipeline according to the data coding information.
7. The apparatus of claim 6, further comprising:
a second determining module, configured to determine database access key information of a source database of a unit to which the plurality of types of initial modal data belong before determining that the perceptual scene meets the set condition and acquiring a scene characteristic;
the second acquisition module is used for acquiring the access authority of the source database indicating the unit to which the database belongs according to the database access key information;
the first obtaining module is specifically configured to:
and accessing the corresponding source database by using the access right based on a data probe to acquire multiple kinds of initial modal data in the scene.
8. The apparatus of claim 6, wherein the first determining module is specifically configured to:
determining a target database which can be linked by the controllable chain code driving mechanism and the data probe; and/or
Determining that the controllable chain code driving mechanism and the data probe are compatible with a source database type and support data probe exchange; and/or
Determining that the controllable chain code driving mechanism and the data probe complete an automatic table establishment protocol process, and completing a table establishment behavior in the target database by the controllable chain code driving mechanism; and/or
Determining that both the controllable chain code driving mechanism and the data probe have data source link information corresponding to the target database, wherein the data source link information is used for linking a source database; and/or
And determining that the controllable chain code driving mechanism has the Data Definition Language (DDL) authority of the target database, wherein the controllable chain code driving mechanism can automatically build a table on the target database.
9. The apparatus of claim 6, further comprising:
and the fourth processing module is configured to trigger the data probe to execute a handshake process between the source database and the target database according to a related contract drive scheduled by the controllable chain code drive mechanism data before the data probe-based acquisition of multiple types of initial modal data in the scene is performed, so as to complete a link process.
10. The apparatus of claim 6, wherein the generation module is specifically configured to:
generating codes, metadata, addresses and access rules respectively corresponding to the target modal data;
and using the code, the metadata, the address and the access rule as the data coding information together.
11. A computer device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
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Effective date of registration: 20230803 Address after: 9 Hong'an st, Lucheng Town, Tongzhou District, Beijing 100010 Patentee after: Beijing big data center Patentee after: TAIJI COMPUTER Co.,Ltd. Address before: 100102 No.211, Middle North Fourth Ring Road, Haidian District, Beijing Patentee before: TAIJI COMPUTER Co.,Ltd. Patentee before: Jia Xiaofeng Patentee before: Gao Song |