Intelligent management method and system based on domestic data packet

Abstract

The invention discloses an intelligent management method and system based on a localized data packet. The method comprises the following steps: constructing a corresponding three-dimensional database according to a plurality of data features, a corresponding autonomous system and an application platform; and triggering autonomous updating of the stereoscopic database based on the previous data of the interactive devices, the stereoscopic database and the number of the interactive devices, and outputting the updated stereoscopic database. Further, defining an interactive data set corresponding to the to-be-processed new data based on the to-be-processed new data, the interactive learning model and the updated three-dimensional database, and defining a corresponding event based on the to-be-processed new data, the interactive data set and the matched learning model; and on the basis of the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, the updated three-dimensional database is triggered to autonomously control the new data to be processed, so that intelligent management of the three-dimensional database is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of three-dimensional databases, and in particular to an intelligent management method and system based on domestic data packets. Background Art

[0002] With the development of science and technology, my country's computer equipment has gradually been localized, and domestic data packets are stored in the computer equipment. In the existing technology, domestic data packets are processed and processed along a single database, ignoring the subsequent processing of new data to be processed, affecting the autonomous control of the new data to be processed, and unable to achieve intelligent management of the three-dimensional database. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides an intelligent management method and system based on domestic data packets, which forms multiple data sets based on multi-dimensional analysis of domestic data packets; outputs corresponding data features based on the identification of multiple data sets, and builds a corresponding three-dimensional database based on multiple data features, corresponding autonomous systems and application platforms; defines corresponding interactive devices based on reverse tracing of domestic data packets; triggers autonomous updating of the three-dimensional database based on previous data of the interactive device, the three-dimensional database and the number of interactive devices, and outputs the updated three-dimensional database, which is compatible with the overall consideration of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, realizes multi-dimensional control of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and ensures the accuracy of the updated three-dimensional database.

[0004] Furthermore, new data to be processed are collected, and an interactive data set corresponding to the new data to be processed is defined based on the new data to be processed, the interactive learning model and the updated three-dimensional database; corresponding events are defined based on the new data to be processed, the interactive data set and the matching learning model; multiple event features are defined according to the dynamic interaction of multiple events, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information; autonomous control of the new data to be processed by the updated three-dimensional database is triggered based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, thereby ensuring autonomous management of the new data to be processed by the updated three-dimensional database and autonomous updating of the updated three-dimensional database, and realizing intelligent management of the three-dimensional database.

[0005] The embodiment of the present invention provides an intelligent management method based on a localized data packet, which is applied to an intelligent management scenario based on a localized data packet; The intelligent management method based on domestic data packets includes: Multiple data sets are formed based on multi-dimensional analysis of domestic data packages; Outputting corresponding data features based on the recognition of multiple data sets, and constructing a corresponding three-dimensional database based on the multiple data features, the corresponding autonomous system and the application platform; Define the corresponding interactive devices based on the reverse tracing of the domestically produced data packets; triggering an autonomous update of the 3D database based on the previous data of the interactive device, the 3D database, and the number of interactive devices, and outputting the updated 3D database; Collect new data to be processed, define an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and define corresponding events based on the new data to be processed, the interactive data set and the matching learning model; Multiple event features are defined according to the dynamic interaction of multiple events, the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information, and the updated three-dimensional database is triggered to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

[0006] Optionally, the multi-dimensional analysis based on the domestic data package forms multiple data sets, including: Collect domestic data packages. At this time, domestic data packages refer to data sets independently developed, produced or owned by China; According to the localized data package, the corresponding application parameters and the user, a corresponding multi-dimensional analysis model is matched, and the multi-dimensional analysis model is trained based on the previous localized data package and the user; Perform dynamic matching based on the multi-dimensional analysis model and the domestic data package, and define a corresponding first matching coefficient according to the dynamic matching of the multi-dimensional analysis model and the domestic data package; Associating the first matching coefficient, the multi-dimensional analysis model, and the localized data package; triggering a multi-dimensional analysis of the domestic data packet according to the first matching coefficient, the multi-dimensional analysis model and the domestic data packet; The domestic data packets are analyzed layer by layer in different dimensions, and multiple data sets are formed based on the multi-dimensional analysis of the domestic data packets. At this time, the multiple data sets correspond to sets in different dimensions respectively, and can interact dynamically to derive more interactive data.

[0007] Optionally, the outputting of corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform, includes: Freeze multiple data sets; Defining the number and amount of corresponding data sets based on multiple data sets, matching corresponding recognition models according to the number and amount of data sets and the application level of the user; Associating the recognition model with a plurality of data sets, and triggering recognition of the plurality of data sets according to the recognition model and the plurality of data sets; Outputting corresponding data features according to the identification of multiple data sets; Associating multiple data features, corresponding autonomous systems, and application platforms; A corresponding three-dimensional database is constructed based on multiple data features, corresponding autonomous systems and application platforms. At this time, multiple data features, corresponding autonomous systems and application platforms perform multiple interactions, and corresponding deviation coefficients are introduced in the multiple interactions. The accuracy of the three-dimensional database is gradually guaranteed based on the control of each deviation coefficient.

[0008] Optionally, the step of defining a corresponding interactive device according to the reverse tracing of the domestic data packet includes: Collect domestic data packages; Based on the IP address and data tag corresponding to the domestic data packet, matching the corresponding reverse tracing model, the domestic data packet and the reverse tracing model are associated; Trigger reverse tracing of the domestic data package based on the domestic data package and the reverse tracing model; Define multiple equipment locations based on reverse tracing of localized data packets; The corresponding interactive devices are defined based on multiple device locations, device interaction levels, and device autonomous systems.

[0009] Optionally, triggering autonomous updating of the 3D database based on the previous data of the interactive device, the 3D database and the number of interactive devices, and outputting the updated 3D database includes: Freeze the three-dimensional database and the interactive device; Defining the past data of the interactive device, the three-dimensional database, and the number of interactive devices according to the interaction between the three-dimensional database and the interactive device, and associating the past data of the interactive device, the three-dimensional database, and the number of interactive devices; triggering an autonomous update of the three-dimensional database according to the previous data of the interactive device, the three-dimensional database and the number of interactive devices; The autonomous update of the stereo database is monitored in real time, and the updated stereo database is defined according to the autonomous update of the stereo database and the operation preference of the user, so as to output the updated stereo database.

[0010] Optionally, the collecting of new data to be processed, defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and defining corresponding events based on the new data to be processed, the interactive data set and the matching learning model include: Real-time monitoring of updated 3D database; The time node of the updated three-dimensional database is located, and new data to be processed is defined according to the time node and the acquisition channel of the updated three-dimensional database.

[0011] Optionally, the collecting of new data to be processed, defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and defining corresponding events based on the new data to be processed, the interactive data set and the matching learning model, further includes: Collect new data to be processed; Based on the new data to be processed, the interactive learning model and the updated three-dimensional database, an interactive data set corresponding to the new data to be processed is defined; at this time, the interactive learning model is trained based on the previous interactive data; Associating new data to be processed, interaction data set and matching learning model; matching learning model is trained based on previous matching data; Define corresponding events based on the new data to be processed, the interaction data set, and the matching learning model.

[0012] Optionally, the method of defining multiple event features according to the dynamic interaction of multiple events, matching the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the identification information of the user, and triggering the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, includes: Freeze the updated stereo database and collect multiple events within a preset time; Associate multiple events and define multiple event features based on the dynamic interaction of multiple events; Multiple interactions are performed based on multiple event features, the updated three-dimensional database, and the user's identification information, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database, and the user's identification information.

[0013] Optionally, the method further includes defining multiple event features according to the dynamic interaction of multiple events, matching the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the identification information of the user, triggering the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, and further includes: Defining loads of individual spaces in an updated three-dimensional database based on autonomous detection of the updated three-dimensional database; Associating the confidentiality level of the new data to be processed, the data type of the new data to be processed, and the load of each space in the updated three-dimensional database; Based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, the updated three-dimensional database is triggered to autonomously control the new data to be processed, and autonomously store and dynamically associate the new data to be processed to form multiple interactive paths for the new data to be processed.

[0014] In addition, an embodiment of the present invention further provides an intelligent management system based on a localized data packet, and the intelligent management system based on a localized data packet includes: An analysis module, used to form multiple data sets based on multi-dimensional analysis of domestic data packages; A database module, for outputting corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform; The interactive device module is used to define the corresponding interactive device according to the reverse tracing of the domestic data packet; An updating module, used for triggering an autonomous update of the stereo database based on the previous data of the interactive device, the stereo database and the number of interactive devices, and outputting the updated stereo database; An event module is used to collect new data to be processed, define an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and define corresponding events based on the new data to be processed, the interactive data set and the matching learning model; The autonomous control module is used to define multiple event features according to the dynamic interaction of multiple events, match the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the user's identification information, and trigger the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

[0015] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple data sets are formed based on multi-dimensional analysis of domestic data packets; corresponding data features are output based on the identification of multiple data sets, and a corresponding three-dimensional database is constructed based on the multiple data features, the corresponding autonomous system and the application platform; the corresponding interactive device is defined according to the reverse tracing of the domestic data packet; the autonomous update of the three-dimensional database is triggered based on the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and the updated three-dimensional database is output, which is compatible with the overall consideration of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, realizes the multi-dimensional control of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and ensures the accuracy of the updated three-dimensional database.

[0016] Furthermore, new data to be processed are collected, and an interactive data set corresponding to the new data to be processed is defined based on the new data to be processed, the interactive learning model and the updated three-dimensional database; corresponding events are defined based on the new data to be processed, the interactive data set and the matching learning model; multiple event features are defined according to the dynamic interaction of multiple events, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information; autonomous control of the new data to be processed by the updated three-dimensional database is triggered based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, thereby ensuring autonomous management of the new data to be processed by the updated three-dimensional database and autonomous updating of the updated three-dimensional database, and realizing intelligent management of the three-dimensional database. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of an intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 2 It is a flow chart of S11 in the intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 3 It is a flow chart of S12 in the intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 4It is a flow chart of S13 in the intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 5 It is a flow chart of S14 in the intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 6 It is a flow chart of S15 in the intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 7 It is a flow chart of S16 in the intelligent management method based on domestic data packets in an embodiment of the present invention; Figure 8 It is a schematic diagram of the structure of an intelligent management system based on domestic data packets in an embodiment of the present invention; Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figures 1 to 9 , an intelligent management method based on a domestic data packet, applied to an intelligent management scenario based on a domestic data packet; the intelligent management method based on a domestic data packet includes: Step S11: forming multiple data sets based on multi-dimensional analysis of domestic data packets; Step S12: outputting corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform; Step S13: outputting corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform; Step S14: triggering autonomous updating of the 3D database based on the previous data of the interactive device, the 3D database and the number of interactive devices, and outputting the updated 3D database; Step S15: collecting new data to be processed, defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and defining corresponding events based on the new data to be processed, the interactive data set and the matching learning model; Step S16: Define multiple event features based on the dynamic interaction of multiple events, match the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the user's identification information, and trigger the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

[0021] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple data sets are formed based on multi-dimensional analysis of domestic data packets; corresponding data features are output based on the identification of multiple data sets, and a corresponding three-dimensional database is constructed based on the multiple data features, the corresponding autonomous system and the application platform; the corresponding interactive device is defined according to the reverse tracing of the domestic data packet; the autonomous update of the three-dimensional database is triggered based on the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and the updated three-dimensional database is output, which is compatible with the overall consideration of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, realizes the multi-dimensional control of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and ensures the accuracy of the updated three-dimensional database.

[0022] Furthermore, new data to be processed are collected, and an interactive data set corresponding to the new data to be processed is defined based on the new data to be processed, the interactive learning model and the updated three-dimensional database; corresponding events are defined based on the new data to be processed, the interactive data set and the matching learning model; multiple event features are defined according to the dynamic interaction of multiple events, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information; autonomous control of the new data to be processed by the updated three-dimensional database is triggered based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, thereby ensuring autonomous management of the new data to be processed by the updated three-dimensional database and autonomous updating of the updated three-dimensional database, and realizing intelligent management of the three-dimensional database.

[0023] refer to Figure 2 , in step S11, multiple data sets are formed based on multi-dimensional analysis of the domestic data packets; In the specific implementation process of the present invention, the specific steps may be: S111: Collect domestic data packets. At this time, domestic data packets refer to data sets independently developed and produced in China or with independent intellectual property rights; S112: matching a corresponding multi-dimensional analysis model according to the localized data package, the corresponding application parameters and the user, wherein the multi-dimensional analysis model is trained based on previous localized data packages and users; S113: Performing dynamic matching based on the multi-dimensional analysis model and the domestic data package, and defining a corresponding first matching coefficient according to the dynamic matching of the multi-dimensional analysis model and the domestic data package; S114: Associating the first matching coefficient, the multi-dimensional analysis model, and the localized data package; S115: triggering a multi-dimensional analysis of the localized data packet according to the first matching coefficient, the multi-dimensional analysis model, and the localized data packet; S116: Analyze the domestic data packets layer by layer in different dimensions, and form multiple data sets based on the multi-dimensional analysis of the domestic data packets. At this time, the multiple data sets correspond to sets in different dimensions respectively, and can interact dynamically to derive more interactive data.

[0024] In the embodiments of the present application, domestic data packets are collected. At this time, domestic data packets refer to data sets independently developed and produced in China or with independent intellectual property rights. Domestic data packets are introduced and further controlled.

[0025] At this time, a corresponding multidimensional analysis model is matched according to the domestic data packet, the corresponding application parameters and the user, and the multidimensional analysis model is trained based on previous domestic data packets and users; dynamic matching is performed based on the multidimensional analysis model and the domestic data packet, and the corresponding first matching coefficient is defined according to the dynamic matching of the multidimensional analysis model and the domestic data packet, which is compatible with the dynamic matching of the multidimensional analysis model and the domestic data packet, and makes full use of the multidimensional analysis model and the multidimensional management and control of the domestic data packet to ensure the accuracy of the first matching coefficient.

[0026] Furthermore, the first matching coefficient, the multi-dimensional analysis model and the domestic data packet are associated; the multi-dimensional analysis of the domestic data packet is triggered according to the first matching coefficient, the multi-dimensional analysis model and the domestic data packet; the domestic data packet is analyzed layer by layer in different dimensions, and multiple data sets are formed based on the multi-dimensional analysis of the domestic data packet, so as to facilitate the management and control of multiple data sets in different dimensions. At this time, the multiple data sets correspond to sets in different dimensions respectively, and can interact dynamically to derive more interactive data.

[0027] refer to Figure 3 , in step S12, outputting corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform; In the specific implementation process of the present invention, the specific steps may be: S121: freeze multiple data sets; S122: defining the number and data volume of corresponding data sets based on the multiple data sets, and matching the corresponding recognition model according to the number and data volume of the data sets and the application level of the user; S123: Associating the recognition model with the multiple data sets, and triggering recognition of the multiple data sets according to the recognition model and the multiple data sets; S124: Outputting corresponding data features according to the identification of multiple data sets; S125: Associating multiple data features, corresponding autonomous systems, and application platforms; S126: Construct a corresponding three-dimensional database based on multiple data features, corresponding autonomous systems and application platforms. At this time, multiple data features, corresponding autonomous systems and application platforms perform multiple interactions, and introduce corresponding deviation coefficients in the multiple interactions. The accuracy of the three-dimensional database is gradually guaranteed based on the control of each deviation coefficient.

[0028] In an embodiment of the present application, multiple data sets are frozen; the number and data volume of corresponding data sets are defined based on the multiple data sets, and the corresponding recognition model is matched according to the number and data volume of data sets and the application level of the user, which is compatible with the overall consideration of the number and data volume of data sets and the application level of the user, and realizes multi-dimensional control of the number and data volume of data sets and the application level of the user, thereby ensuring the accuracy and rationality of the recognition model.

[0029] Furthermore, the recognition model and multiple data sets are associated, and the recognition of multiple data sets is triggered based on the recognition model and the multiple data sets, so that corresponding data features are output based on the recognition of the multiple data sets, multiple data features are introduced, and control is performed on the multiple data features.

[0030] Therefore, multiple data features, corresponding autonomous systems and application platforms are associated; a corresponding three-dimensional database is constructed based on the multiple data features, corresponding autonomous systems and application platforms. At this time, multiple data features, corresponding autonomous systems and application platforms perform multiple interactions, and corresponding deviation coefficients are introduced in the multiple interactions. The accuracy of the three-dimensional database is gradually guaranteed based on the control of each deviation coefficient, and the multi-level deviation regulation of the three-dimensional database is realized. Multiple interactions of multiple data features, corresponding autonomous systems and application platforms are introduced, and multi-dimensional control of multiple data features, corresponding autonomous systems and application platforms is realized.

[0031] refer to Figure 4 , in step S13, the corresponding interactive device is defined according to the reverse tracing of the domestic data packet; In the specific implementation process of the present invention, the specific steps may be: S131: Collect domestic data packets; S132: matching the corresponding reverse tracing model based on the IP address and data tag corresponding to the domestic data packet, and associating the domestic data packet with the reverse tracing model; S133: triggering reverse tracing of the domestic data package according to the domestic data package and the reverse tracing model; S134: defining multiple device locations based on reverse tracing of domestic data packets; S135: Define corresponding interactive devices based on multiple device locations, device interaction levels, and autonomous systems of the devices.

[0032] In an embodiment of the present application, domestic data packets are collected; based on the IP addresses and data tags corresponding to the domestic data packets, the corresponding reverse tracing models are matched, the domestic data packets and the reverse tracing models are associated, and further processing of the domestic data packets and the reverse tracing models is achieved.

[0033] Furthermore, the reverse tracing of the domestic data packet is triggered according to the domestic data packet and the reverse tracing model; multiple device locations are defined according to the reverse tracing of the domestic data packet; corresponding interactive devices are defined based on multiple device locations, device interaction levels and device autonomous systems, which is compatible with the overall consideration of multiple device locations, device interaction levels and device autonomous systems, and realizes multi-dimensional control of multiple device locations, device interaction levels and device autonomous systems, ensuring the accuracy of interactive devices.

[0034] refer to Figure 5 , S14: triggering autonomous updating of the stereoscopic database based on the previous data of the interactive device, the stereoscopic database and the number of interactive devices, and outputting the updated stereoscopic database; In the specific implementation process of the present invention, the specific steps may be: S141: Freeze the three-dimensional database and the interactive device; S142: defining the past data of the interactive device, the three-dimensional database, and the number of interactive devices according to the interaction between the three-dimensional database and the interactive device, and associating the past data of the interactive device, the three-dimensional database, and the number of interactive devices; S143: triggering autonomous updating of the 3D database according to the previous data of the interactive device, the 3D database and the number of interactive devices; S144: monitoring the autonomous update of the 3D database in real time, and defining an updated 3D database according to the autonomous update of the 3D database and the operation preference of the user, so as to output the updated 3D database.

[0035] In an embodiment of the present application, multiple data sets are formed based on multi-dimensional analysis of domestic data packets; corresponding data features are output based on the identification of multiple data sets, and a corresponding three-dimensional database is constructed based on the multiple data features, the corresponding autonomous system and the application platform; corresponding interactive devices are defined based on the reverse tracing of the domestic data packets; autonomous updating of the three-dimensional database is triggered based on the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and the updated three-dimensional database is output, which is compatible with the overall consideration of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, realizes multi-dimensional control of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and ensures the accuracy of the updated three-dimensional database.

[0036] At this time, the three-dimensional database and the interactive device are frozen; the past data of the interactive device, the three-dimensional database, and the number of interactive devices are defined according to the interaction between the three-dimensional database and the interactive device, and the past data of the interactive device, the three-dimensional database, and the number of interactive devices are associated to achieve multiple interactions of the past data of the interactive device, the three-dimensional database, and the number of interactive devices, so as to facilitate multi-dimensional control of the past data of the interactive device, the three-dimensional database, and the number of interactive devices.

[0037] Furthermore, the autonomous update of the three-dimensional database is triggered according to the previous data of the interactive device, the three-dimensional database and the number of interactive devices; the autonomous update of the three-dimensional database is monitored in real time, and the updated three-dimensional database is defined according to the autonomous update of the three-dimensional database and the user's operating preferences to output the updated three-dimensional database, thereby realizing the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and being fully compatible with the previous data of the interactive device, the three-dimensional database and the number of interactive devices, so as to define the updated three-dimensional database according to the autonomous update of the three-dimensional database and the user's operating preferences, thereby ensuring the accuracy of the updated three-dimensional database.

[0038] refer to Figure 6 , S15: collecting new data to be processed, defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and defining corresponding events based on the new data to be processed, the interactive data set and the matching learning model; In the specific implementation process of the present invention, the specific steps may be: S151: real-time monitoring of the updated three-dimensional database; S152: locating the time node of the updated 3D database, and defining new data to be processed according to the time node and the acquisition channel of the updated 3D database; S153: Collect new data to be processed; S154: defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database; at this time, the interactive learning model is trained based on the previous interactive data; S155: Associating the new data to be processed, the interaction data set, and the matching learning model; the matching learning model is trained based on the previous matching data; S156: Define corresponding events based on the new data to be processed, the interaction data set, and the matching learning model.

[0039] In an embodiment of the present application, an updated three-dimensional database is monitored in real time; the time node of the updated three-dimensional database is located, and new data to be processed is defined based on the time node and the acquisition channel of the updated three-dimensional database, the time node and the acquisition channel of the updated three-dimensional database are introduced, and real-time interaction is performed with respect to the time node and the acquisition channel of the updated three-dimensional database, so as to collect new data to be processed.

[0040] Furthermore, based on the new data to be processed, the interactive learning model and the updated three-dimensional database, the interactive data set corresponding to the new data to be processed is defined; at this time, the interactive learning model is trained based on the previous interactive data; the new data to be processed, the interactive learning model and the updated three-dimensional database are introduced, and the new data to be processed, the interactive learning model and the updated three-dimensional database are considered as a whole, so as to facilitate multi-dimensional control of the new data to be processed, the interactive learning model and the updated three-dimensional database, and ensure the accuracy of the interactive data set corresponding to the new data to be processed.

[0041] Therefore, the new data to be processed, the interaction data set and the matching learning model are associated; the matching learning model is trained based on the previous matching data; the corresponding events are defined based on the new data to be processed, the interaction data set and the matching learning model, which is compatible with the overall consideration of the new data to be processed, the interaction data set and the matching learning model, and realizes the multi-dimensional control of the new data to be processed, the interaction data set and the matching learning model, ensuring the accuracy of the events.

[0042] refer to Figure 7 , S16: defining multiple event features according to the dynamic interaction of multiple events, matching the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the identification information of the user, triggering the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database; In the specific implementation process of the present invention, the specific steps may be: S161: freeze the updated 3D database and collect multiple events within a preset time; S162: Associating multiple events, and defining multiple event features according to dynamic interactions of the multiple events; S163: performing multiple interactions based on multiple event features, the updated three-dimensional database, and the identification information of the user, and matching the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database, and the identification information of the user; S164: defining the load of each space in the updated three-dimensional database based on the autonomous detection of the updated three-dimensional database; S165: Associating the confidentiality level of the new data to be processed, the data type of the new data to be processed, and the load of each space in the updated three-dimensional database; S166: Based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, the updated three-dimensional database is triggered to autonomously control the new data to be processed, and autonomously store and dynamically associate the new data to be processed to form multiple interactive paths for the new data to be processed.

[0043] In the specific implementation process of the present invention, new data to be processed are collected, and an interactive data set corresponding to the new data to be processed is defined based on the new data to be processed, an interactive learning model and an updated three-dimensional database; corresponding events are defined based on the new data to be processed, the interactive data set and the matching learning model; multiple event features are defined according to the dynamic interaction of multiple events, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information; based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, the updated three-dimensional database is triggered to autonomously control the new data to be processed, thereby ensuring the autonomous management of the new data to be processed by the updated three-dimensional database and the autonomous update of the updated three-dimensional database, and realizing the intelligent management of the three-dimensional database.

[0044] At this time, the updated three-dimensional database is frozen, and multiple events are collected within a preset time; multiple events are associated, and multiple event features are defined based on the dynamic interaction of multiple events; multiple interactions are performed based on multiple event features, the updated three-dimensional database, and the user's identification information, and the confidentiality level of the new data to be processed is matched based on multiple event features, the updated three-dimensional database, and the user's identification information, multiple event features, the updated three-dimensional database, and the user's identification information are introduced, and overall management and control are performed on multiple event features, the updated three-dimensional database, and the user's identification information, thereby ensuring multi-dimensional management and control of multiple event features, the updated three-dimensional database, and the user's identification information, thereby ensuring the accuracy of the confidentiality level of the new data to be processed, and further processing the confidentiality level of the new data to be processed.

[0045] Furthermore, the load of each space in the updated three-dimensional database is defined based on the autonomous detection of the updated three-dimensional database; the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database are associated, and the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database are introduced, and multiple interactions are performed on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

[0046] Therefore, based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, the updated three-dimensional database is triggered to autonomously control the new data to be processed, and autonomously store and dynamically associate the new data to be processed to form multiple interactive paths for the new data to be processed, which is compatible with the overall consideration of the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, and realizes multi-dimensional control of the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, ensuring the autonomous control of the new data to be processed by the updated three-dimensional database, and further ensuring the autonomous management of the new data to be processed by the updated three-dimensional database and autonomous updating of the updated three-dimensional database, thereby realizing the intelligent management of the three-dimensional database.

[0047] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple data sets are formed based on multi-dimensional analysis of domestic data packets; corresponding data features are output based on the identification of multiple data sets, and a corresponding three-dimensional database is constructed based on the multiple data features, the corresponding autonomous system and the application platform; the corresponding interactive device is defined according to the reverse tracing of the domestic data packet; the autonomous update of the three-dimensional database is triggered based on the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and the updated three-dimensional database is output, which is compatible with the overall consideration of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, realizes the multi-dimensional control of the previous data of the interactive device, the three-dimensional database and the number of interactive devices, and ensures the accuracy of the updated three-dimensional database.

[0048] Furthermore, new data to be processed are collected, and an interactive data set corresponding to the new data to be processed is defined based on the new data to be processed, the interactive learning model and the updated three-dimensional database; corresponding events are defined based on the new data to be processed, the interactive data set and the matching learning model; multiple event features are defined according to the dynamic interaction of multiple events, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information; autonomous control of the new data to be processed by the updated three-dimensional database is triggered based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, thereby ensuring autonomous management of the new data to be processed by the updated three-dimensional database and autonomous updating of the updated three-dimensional database, and realizing intelligent management of the three-dimensional database.

[0049] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of an intelligent management system based on domestic data packets in an embodiment of the present invention.

[0050] like Figure 8 As shown, an intelligent management system based on a domestic data packet, the intelligent management system based on a domestic data packet includes: An analysis module 21, used to form multiple data sets based on multi-dimensional analysis of domestic data packets; A database module 22, for outputting corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform; The interactive device module 23 is used to define the corresponding interactive device according to the reverse tracing of the domestic data packet; An updating module 24, configured to trigger an autonomous update of the 3D database based on the previous data of the interactive device, the 3D database and the number of interactive devices, and output an updated 3D database; An event module 25 is used to collect new data to be processed, define an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and define corresponding events based on the new data to be processed, the interactive data set and the matching learning model; The autonomous control module 26 is used to define multiple event features based on the dynamic interaction of multiple events, match the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the user's identification information, and trigger the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

[0051] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0052] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0053] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0054] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0055] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0056] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0057] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0058] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0059] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0060] In addition, the above is a detailed introduction to the intelligent management method and system based on domestic data packets provided by the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. An intelligent management method based on domestic data packets, characterized in that: Applied to intelligent management scenarios based on domestically produced data packets; The intelligent management method based on domestic data packets includes: Multiple data sets are formed based on multi-dimensional analysis of domestic data packages; Outputting corresponding data features based on the recognition of multiple data sets, and constructing a corresponding three-dimensional database based on the multiple data features, the corresponding autonomous system and the application platform; Define the corresponding interactive devices based on the reverse tracing of the domestically produced data packets; triggering an autonomous update of the 3D database based on the previous data of the interactive device, the 3D database, and the number of interactive devices, and outputting the updated 3D database; Collect new data to be processed, define an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and define corresponding events based on the new data to be processed, the interactive data set and the matching learning model; Multiple event features are defined according to the dynamic interaction of multiple events, the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database and the user's identification information, and the updated three-dimensional database is triggered to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

2. The intelligent management method based on domestic data packets according to claim 1 is characterized in that: The multi-dimensional analysis based on the domestic data package forms multiple data sets, including: Collect domestic data packages. At this time, domestic data packages refer to data sets independently developed, produced or owned by China; According to the localized data package, the corresponding application parameters and the user, a corresponding multi-dimensional analysis model is matched, and the multi-dimensional analysis model is trained based on the previous localized data package and the user; Perform dynamic matching based on the multi-dimensional analysis model and the domestic data package, and define a corresponding first matching coefficient according to the dynamic matching of the multi-dimensional analysis model and the domestic data package; Associating the first matching coefficient, the multi-dimensional analysis model, and the localized data package; triggering a multi-dimensional analysis of the domestic data packet according to the first matching coefficient, the multi-dimensional analysis model and the domestic data packet; The domestic data packets are analyzed layer by layer in different dimensions, and multiple data sets are formed based on the multi-dimensional analysis of the domestic data packets. At this time, the multiple data sets correspond to sets in different dimensions respectively, and can interact dynamically to derive more interactive data.

3. The intelligent management method based on domestic data packets according to claim 1 is characterized in that: The outputting of corresponding data features based on the identification of multiple data sets, and building a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform, include: Freeze multiple data sets; Based on the multiple data sets, the number and amount of corresponding data sets are defined, and the corresponding recognition model is matched according to the number and amount of data sets and the application level of the user; Associating the recognition model with the plurality of data sets, and triggering recognition of the plurality of data sets according to the recognition model and the plurality of data sets; Outputting corresponding data features according to the identification of multiple data sets; Associating multiple data features, corresponding autonomous systems, and application platforms; A corresponding three-dimensional database is constructed based on multiple data features, corresponding autonomous systems and application platforms. At this time, multiple data features, corresponding autonomous systems and application platforms perform multiple interactions, and corresponding deviation coefficients are introduced in the multiple interactions. The accuracy of the three-dimensional database is gradually guaranteed based on the control of each deviation coefficient.

4. The intelligent management method based on domestic data packets according to claim 3 is characterized in that: The corresponding interactive device is defined according to the reverse tracing of the domestic data packet, including: Collect domestic data packages; Based on the IP address and data tag corresponding to the domestic data packet, matching the corresponding reverse tracing model, the domestic data packet and the reverse tracing model are associated; Trigger reverse tracing of the domestic data package based on the domestic data package and the reverse tracing model; Define multiple equipment locations based on reverse tracing of localized data packets; The corresponding interactive devices are defined based on multiple device locations, device interaction levels, and device autonomous systems.

5. The intelligent management method based on domestic data packets according to claim 4 is characterized in that: The triggering of autonomous updating of the 3D database based on the previous data of the interactive device, the 3D database and the number of interactive devices, and outputting the updated 3D database, includes: Freeze the three-dimensional database and the interactive device; Defining the past data of the interactive device, the three-dimensional database, and the number of interactive devices according to the interaction between the three-dimensional database and the interactive device, and associating the past data of the interactive device, the three-dimensional database, and the number of interactive devices; triggering an autonomous update of the three-dimensional database according to the previous data of the interactive device, the three-dimensional database and the number of interactive devices; The autonomous update of the stereo database is monitored in real time, and the updated stereo database is defined according to the autonomous update of the stereo database and the operation preference of the user, so as to output the updated stereo database.

6. The intelligent management method based on domestic data packets according to claim 5 is characterized in that: The collecting of new data to be processed, defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and defining corresponding events based on the new data to be processed, the interactive data set and the matching learning model, include: Real-time monitoring of updated 3D database; The time node of the updated three-dimensional database is located, and new data to be processed is defined according to the time node and the acquisition channel of the updated three-dimensional database.

7. The intelligent management method based on domestic data packets according to claim 6 is characterized in that: The method further includes collecting new data to be processed, defining an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and defining corresponding events based on the new data to be processed, the interactive data set and the matching learning model. Collect new data to be processed; Based on the new data to be processed, the interactive learning model and the updated three-dimensional database, an interactive data set corresponding to the new data to be processed is defined; at this time, the interactive learning model is trained based on the previous interactive data; Associating new data to be processed, interaction data set and matching learning model; matching learning model is trained based on previous matching data; Define corresponding events based on the new data to be processed, the interaction data set, and the matching learning model.

8. The intelligent management method based on domestic data packets according to claim 7 is characterized in that: The method defines multiple event features according to the dynamic interaction of multiple events, matches the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the identification information of the user, and triggers the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, including: Freeze the updated stereo database and collect multiple events within a preset time; Associate multiple events and define multiple event features based on the dynamic interaction of multiple events; Multiple interactions are performed based on multiple event features, the updated three-dimensional database, and the user's identification information, and the confidentiality level of the new data to be processed is matched based on the multiple event features, the updated three-dimensional database, and the user's identification information.

9. The intelligent management method based on domestic data packets according to claim 8 is characterized in that: The method further includes defining multiple event features according to the dynamic interaction of multiple events, matching the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the identification information of the user, triggering the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, and further includes: Defining loads of individual spaces in an updated three-dimensional database based on autonomous detection of the updated three-dimensional database; Associating the confidentiality level of the new data to be processed, the data type of the new data to be processed, and the load of each space in the updated three-dimensional database; Based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database, the updated three-dimensional database is triggered to autonomously control the new data to be processed, and autonomously store and dynamically associate the new data to be processed to form multiple interactive paths for the new data to be processed.

10. An intelligent management system based on domestic data packets, characterized in that: The intelligent management system based on the domestic data packet is applied to the intelligent management method based on the domestic data packet as described in any one of claims 1 to 9, and the intelligent management system based on the domestic data packet includes: An analysis module, used to form multiple data sets based on multi-dimensional analysis of domestic data packages; A database module, for outputting corresponding data features based on the identification of multiple data sets, and constructing a corresponding three-dimensional database according to the multiple data features, the corresponding autonomous system and the application platform; The interactive device module is used to define the corresponding interactive device according to the reverse tracing of the domestic data packet; An updating module, used for triggering an autonomous update of the stereo database based on the previous data of the interactive device, the stereo database and the number of interactive devices, and outputting the updated stereo database; An event module is used to collect new data to be processed, define an interactive data set corresponding to the new data to be processed based on the new data to be processed, the interactive learning model and the updated three-dimensional database, and define corresponding events based on the new data to be processed, the interactive data set and the matching learning model; The autonomous control module is used to define multiple event features according to the dynamic interaction of multiple events, match the confidentiality level of the new data to be processed based on the multiple event features, the updated three-dimensional database and the user's identification information, and trigger the updated three-dimensional database to autonomously control the new data to be processed based on the confidentiality level of the new data to be processed, the data type of the new data to be processed and the load of each space in the updated three-dimensional database.

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