CN118069044A - Chip data storage method, device, equipment, medium and product - Google Patents
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Abstract
The application relates to a chip data storage method, a device, equipment, a medium and a product. The method comprises the following steps: acquiring a plurality of pieces of data information to be stored, source information of each piece of data information to be stored and storage space information of an internet of things chip; obtaining a plurality of fusion data according to the source information, wherein the fusion data comprises a plurality of initial data information and path information between the initial data information and a plurality of data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored; matching the data size and the storage space information of the plurality of fusion data to obtain storage matching information; based on the stored matching information, the plurality of fusion data are stored into the internet of things chip at the same time. By adopting the method, the storage efficiency of data storage can be improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, a medium, and a product for storing chip data.
Background
With the development of data processing technology, the functions of the internet of things chip are more and more, and the generated data information which needs the chip to store is more and more.
The traditional data storage method is to store a group of data information to be stored in the storage unit of the chip of the internet of things in sequence according to the storage strategy of the instant storage when the group of data information to be stored is acquired.
But the conventional data storage method is inefficient in storage.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a chip data storage method, apparatus, device, medium, and product that can improve efficiency.
In a first aspect, the present application provides a method for storing chip data, the method comprising:
Acquiring a plurality of pieces of data information to be stored, source information of each piece of data information to be stored and storage space information of an internet of things chip;
Obtaining a plurality of fusion data according to the source information, wherein the fusion data comprises a plurality of initial data information and path information between the initial data information and a plurality of data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored;
Matching the data size and the storage space information of the plurality of fusion data to obtain storage matching information;
based on the stored matching information, the plurality of fusion data are stored into the internet of things chip at the same time.
In one embodiment, a method is provided for obtaining a plurality of fusion data according to source information, including:
Constructing a plurality of association models corresponding to the data information to be stored based on the source information;
Based on the association model, carrying out reverse push screening treatment on a plurality of data information to be stored to obtain a plurality of initial data information and path information;
and obtaining a plurality of fusion data according to the plurality of initial data information and the path information.
In one embodiment, the source information in the provided method includes source data information and source method information;
The provided method is based on each source information, and comprises the following steps of:
obtaining the association relation among the data information to be stored according to the source data information and the source method information;
and integrating the plurality of data information to be stored according to the association relation to obtain an association model.
In one embodiment, a method for integrating a plurality of data information to be stored according to an association relationship to obtain an association model includes:
acquiring data types corresponding to a plurality of pieces of data information to be stored respectively;
Dividing a plurality of data information to be stored into a plurality of data information combinations based on the data types, wherein the data information to be stored in each data information combination has the same data type;
aiming at each data information combination, according to the association relation between the data information to be stored in the data information combination, carrying out integration processing on the data information to be stored in the data information combination to obtain an association submodel corresponding to the data information combination;
And carrying out decision splicing processing on each relevance submodel according to the source information to obtain a relevance model.
In one embodiment, a method is provided, based on a correlation model, for performing a reverse push screening process on a plurality of data information to be stored, to obtain a plurality of initial data information and path information, including:
Performing inverse-push operation processing on each piece of data information to be stored based on the association model to obtain each piece of original data information corresponding to each piece of data information to be stored and path information between each piece of original data information and each piece of data information to be stored;
and performing de-duplication merging processing on each piece of original data information to obtain a plurality of pieces of initial data information and path information.
In one embodiment, a method is provided for matching data sizes and storage space information of a plurality of fusion data to obtain a process of storing matching information, including:
And carrying out matching processing on the data size of the fusion data, the data type of the initial data information in each fusion data and the association degree of each fusion data and the storage space information to obtain storage matching information.
In a second aspect, the present application also provides a chip data storage device, including:
the data acquisition module is used for acquiring a plurality of pieces of data information to be stored, source information of the data information to be stored and storage space information of the internet of things chip;
The data fusion module is used for obtaining a plurality of fusion data according to the source information, wherein the fusion data comprise a plurality of initial data information and path information between the initial data information and a plurality of data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored;
The data matching module is used for matching the data sizes of the plurality of fusion data with the storage space information to obtain storage matching information;
And the data storage module is used for simultaneously storing a plurality of fusion data into the internet of things chip based on the storage matching information.
In a third aspect, the application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the method as in the first aspect when the processor executes the computer program.
In a fourth aspect, the application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as in the first aspect.
In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method as in the first aspect.
The data chip storage method, the device, the equipment, the medium and the product are characterized in that a plurality of data information to be stored, source information of each data information to be stored and storage space information of the chip of the Internet of things are obtained; obtaining a plurality of fusion data according to the source information, wherein the fusion data comprises a plurality of initial data information and path information between the initial data information and a plurality of data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored; matching the data size and the storage space information of the plurality of fusion data to obtain storage matching information; based on the storage matching information, simultaneously storing a plurality of fusion data into the internet of things chip; in this way, a plurality of initial data information and path information between each initial data information and each data information to be stored are identified according to the source information, so that a plurality of fusion data are obtained for being stored in the internet of things chip, and the number of the data information to be stored can be effectively reduced; the data size and the storage space information of the plurality of fusion data are subjected to matching processing and then stored, so that the space utilization rate of the storage space in the chip of the Internet of things can be improved; and simultaneously storing a plurality of fusion data into the internet of things chip, so that the chip storage speed can be increased, and the storage efficiency of the chip data storage method is improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a diagram of an application environment for a chip data storage method in one embodiment;
FIG. 2 is a flow chart of a method for storing chip data in one embodiment;
FIG. 3 is a flow chart illustrating steps for obtaining a plurality of fusion data in one embodiment;
FIG. 4 is a flow chart illustrating steps for obtaining a correlation model in one embodiment;
FIG. 5 is a flow chart illustrating steps for obtaining a correlation model in one embodiment;
FIG. 6 is a flowchart illustrating steps for obtaining initial data information and path information in one embodiment;
FIG. 7 is a flow chart of a method for storing chip data according to another embodiment;
FIG. 8 is a block diagram of a chip data storage device in one embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The chip data storage method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
The chip data storage method provided by the embodiment of the application can be applied to the terminal 102, and the terminal 102 is used for being connected with the chip of the Internet of things; acquiring a plurality of pieces of data information to be stored, source information of each piece of data information to be stored and storage space information of the internet of things chip 106; obtaining a plurality of fusion data according to the source information, wherein the fusion data comprises a plurality of initial data information and path information between the initial data information and a plurality of data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored; matching the data size and the storage space information of the plurality of fusion data to obtain storage matching information; based on the stored matching information, a plurality of fusion data are stored simultaneously into the internet of things chip 106.
The chip data storage method provided by the embodiment of the application can also be applied to the server 104, and in the application environment, the server 104 is used for being connected with the chip of the Internet of things.
In an exemplary embodiment, as shown in fig. 2, a chip data storage method is provided, and the method is applied to the terminal 102 in fig. 1 for illustration, and includes the following steps 202 to 208. Wherein:
Step 202, obtaining a plurality of data information to be stored, source information of each data information to be stored and storage space information of the internet of things chip.
The data information to be stored is data information which is acquired by the physical network chip in real time and needs to be stored.
The source information of the data information to be stored comprises process information of processing the other data information to be stored according to a specific processing mode to obtain the data information to be stored.
The storage space of the internet of things chip is formed by a plurality of storage units with fixed storage space sizes, the storage space information of the internet of things chip can comprise a plurality of storage unit information, and the storage unit information can comprise the preset space size of the corresponding storage unit. Alternatively, the storage unit information may include a remaining space size of the corresponding storage unit.
Step 204, obtaining a plurality of fusion data according to the source information.
The plurality of fusion data comprises a plurality of initial data information and path information between each initial data information and a plurality of data information to be stored.
The plurality of initial data information is part of the data information to be stored in the plurality of data information to be stored; the path information is information of paths for obtaining other data information to be stored according to the initial data information.
By way of example, the path information may be in the form of instruction codes, and executing the path information on the initial data information may result in data information to be stored associated with the initial data information.
The method comprises the steps of obtaining the association relation between data information to be stored according to source information; combining the association relations to obtain association structures among all data information to be stored; and carrying out data fusion processing on the plurality of storage data information according to the association structure to obtain a plurality of fusion data.
And 206, matching the data sizes of the plurality of fusion data with the storage space information to obtain storage matching information.
The data size of the fusion data is the sum of the size of the initial data information and the size of the path information contained in the fusion data.
For example, the unit of the data size, the storage space information, and the storage unit information of the fusion data may be bytes.
For example, the matching processing of the data size of each fusion data with the storage space information may be: and screening all the fusion data with the sum of the data memories in the fusion data being the same as the size of the storage unit information, and taking the storage unit identification corresponding to all the fusion data and the storage unit information as storage matching information.
And step 208, based on the stored matching information, storing the plurality of fusion data into the internet of things chip at the same time.
Illustratively, according to the storage unit identifier in the storage matching information, a plurality of fusion data are stored in the corresponding storage unit at the same time.
In the chip data storage method, a plurality of pieces of data information to be stored, source information of the data information to be stored and storage space information of the chip of the Internet of things are obtained; obtaining a plurality of fusion data according to the source information, wherein the fusion data comprises a plurality of initial data information and path information between the initial data information and a plurality of data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored; matching the data size and the storage space information of the plurality of fusion data to obtain storage matching information; based on the storage matching information, simultaneously storing a plurality of fusion data into the internet of things chip; in this embodiment, a plurality of initial data information and path information between each initial data information and each data information to be stored are identified according to source information, so as to obtain a plurality of fusion data for storing in an internet of things chip, so that the number of data information to be stored can be effectively reduced; the data size and the storage space information of the plurality of fusion data are subjected to matching processing and then stored, so that the space utilization rate of the storage space in the chip of the Internet of things can be improved; and simultaneously storing a plurality of fusion data into the internet of things chip, so that the storage speed can be increased, and the storage efficiency of the chip data storage method is improved.
In an exemplary embodiment, based on the embodiment shown in fig. 2, as shown in fig. 3, a process of obtaining a plurality of fusion data according to each source information in the method is provided, including:
step 302, based on the source information, constructing a plurality of association models corresponding to the data information to be stored.
The association model is obtained by combining association relations among the data information to be stored, and comprises all the data information to be stored and source information of each data information to be stored.
And step 304, performing inverse push screening processing on the plurality of data information to be stored based on the association model to obtain a plurality of initial data information and path information.
The reverse push screening process refers to a process of carrying out reverse derivation and de-duplication on the data information to be stored according to the source information to obtain non-repeated initial data information to be stored; taking the initial data information to be stored obtained through reverse deduction as initial data information corresponding to the data information to be stored; and obtaining a path of the data information to be stored according to the initial data information, which is obtained through reverse deduction, as path information.
Step 306, obtaining a plurality of fusion data according to the plurality of initial data information and the path information.
Each piece of fusion data comprises initial data information and path information, namely, according to one piece of fusion data, one piece of data information to be stored can be obtained according to the initial data and the path information.
In this embodiment, according to each source information, a plurality of association models corresponding to the data information to be stored are constructed, so as to obtain a plurality of fusion data, and the relationships among the plurality of data information to be stored can be simply and quickly constructed, so that the path information of which the source information cannot be directly displayed is determined, and the efficiency of obtaining the fusion data is improved.
In an exemplary embodiment, the source information in the provided method includes source data information and source method information based on the embodiment shown in fig. 3.
Each data information to be stored may correspond to at least one source data information, and a source method information is included between the data information to be stored and each source data information.
Exemplary source method information includes source methods of extraction, identification, modification, addition, and the like.
In this embodiment, as shown in fig. 4, a process of constructing a plurality of association models corresponding to data information to be stored based on each source information in the method includes:
Step 402, obtaining the association relation between the data information to be stored according to the source data information and the source method information.
Illustratively, the source information of the data information a to be stored includes a process of processing another data information B to be stored according to a "modified" source method to obtain the data information a to be stored. The data information B to be stored is the source data information of the data information A to be stored; the source method is modified to be source method information; the association relationship between the data information a to be stored and the data information B to be stored can be expressed as: [ data information to be stored A, modification, data information to be stored B ].
And step 404, integrating the plurality of data information to be stored according to the association relation to obtain an association model.
The integration processing means that the data information to be stored with the association relation is combined into an association model, the nodes in the association model are the data information to be stored, the nodes are connected by the association relation, the number of the nodes is the number of the data information to be stored, namely, each data information to be stored only appears once in the association model.
In this embodiment, according to the association relationship, an association model between a plurality of data information to be stored is simply, conveniently and rapidly constructed, so that accuracy of obtaining the fusion data can be improved, and the amount of data to be stored is effectively reduced, thereby improving the storage efficiency of the chip data storage method.
In an exemplary embodiment, based on the embodiment shown in fig. 4, as shown in fig. 5, a process for integrating a plurality of data information to be stored according to an association relationship to obtain an association model in the method is provided, including:
Step 502, obtaining data types corresponding to the data information to be stored.
Wherein the data type is used to characterize the data form of the data information to be stored.
Exemplary data types include picture data, text data, audio data, form data, video data, security data, and code data.
In step 504, the plurality of data information to be stored is divided into a plurality of data information combinations based on the data type, and the data information to be stored in each data information combination has the same data type.
Step 506, for each data information combination, according to the association relationship between the data information to be stored in the data information combination, performing integration processing on the data information to be stored in the data information combination, so as to obtain an association submodel corresponding to the data information combination.
For example, an association sub-model may be constructed based on the decision tree model, where the association sub-model includes all data information to be stored in the data information combination and an association relationship between every two data information to be stored.
And step 508, carrying out decision splicing processing on each relevance submodel according to the source information to obtain a relevance model.
The source information comprises source data information, and semantic analysis is carried out on the source data information to obtain semantic information corresponding to the source data information; if the semantic information accords with the preset decision condition, the source data information is considered to be the same, and an association relationship exists between the data information to be stored corresponding to the source data information; and splicing the relevance submodels of different data types based on the relevance relationship to obtain a relevance model.
In the embodiment, the association model is built layer by layer based on the source method information and the semantic information, so that the association relation between the data information to be stored can be fully embodied, accurate path information is further obtained, and the accuracy of output storage and extraction is improved.
In an exemplary embodiment, based on the embodiment shown in fig. 3, as shown in fig. 6, a process of performing a reverse push screening process on a plurality of data information to be stored based on a correlation model to obtain a plurality of initial data information and path information in the method is provided, including:
Step 602, performing inverse-push operation on each piece of data information to be stored based on the association model, to obtain each piece of original data information corresponding to each piece of data information to be stored, and path information between each piece of original data information and each piece of data information to be stored.
The inverse pushing operation is to inversely push the to-be-stored data information at the initial position of the association model along the source information based on the to-be-stored data information, namely the original data information. The path information includes process information from the original data information through at least one source method information to the data information to be stored.
In step 604, de-duplication and merging are performed on each piece of original data information, so as to obtain a plurality of pieces of initial data information and path information.
The method comprises the steps of performing inverse operation on a plurality of pieces of data information to be stored to obtain the same piece of original data information, performing de-coincidence processing on the plurality of pieces of original data information, removing repeated pieces of original data information to obtain initial data information, and obtaining path information from the initial data information to the piece of data information to be stored through at least one source method information.
In this embodiment, based on the association model, a plurality of initial data information and path information are obtained, so as to obtain fusion data, and the fusion data combined by the initial data information and the path information is used to replace a plurality of data information to be stored for storage, so that the size of data to be stored can be effectively reduced, and the storage efficiency of the chip data storage method is improved.
In an exemplary embodiment, based on the embodiment shown in fig. 5, a method is provided for performing matching processing on data sizes and storage space information of a plurality of fusion data, to obtain a process of storing matching information, where the process includes:
And carrying out matching processing on the data size of the fusion data, the data type of the initial data information in each fusion data and the association degree of each fusion data and the storage space information to obtain storage matching information.
The process of obtaining the stored matching information may include:
According to the data type of the initial data information, the data type of the fusion data corresponding to the initial data information can be obtained; and classifying the plurality of fusion data according to the data types of the fusion data to obtain a plurality of fusion data groups.
And screening all the fusion data of which the sum of the data memories in the fusion data is the same as the size of the storage unit information according to the fusion data of each fusion data group, and taking the storage unit identification corresponding to all the fusion data and the storage unit information as a sub fusion data group.
And sequencing and splicing the fusion data in each sub-fusion data group to obtain a sub-fusion data sequence. The sorting order can be obtained according to the association degree of each fusion data. The association degree can be calculated according to source method information corresponding to path information in the fusion data. Exemplary, the source method information includes preset association strength, such as: the association strength corresponding to the "extraction" is 20%, the association strength corresponding to the "identification" is 10%, the association strength corresponding to the "modification" is 50%, and the association strength corresponding to the "addition" is 15%. Illustratively, normalizing the same association strength between the fusion data to obtain the association degree between the fusion data; carrying out average value processing on the association degree of the fusion data and other fusion data to obtain the average association degree of the fusion data; and arranging and splicing the fusion data according to the size sequence of the average association degree to obtain a sub-fusion data sequence.
And simultaneously storing the sub-fusion data sequences into corresponding storage units according to the storage unit identifiers in the storage matching information.
In this embodiment, according to the data sizes of the plurality of fusion data, the data types of the initial data information in each fusion data, and the association degree of each fusion data, matching processing is performed with the storage space information to obtain storage matching information, so that it is ensured that the fusion data with high overall association degree can be stored preferentially, the accuracy of accessing the data can be effectively improved, and thus the reliability of the chip data storage method is improved.
In one possible implementation manner, after storing the plurality of fusion data to the internet of things chip at the same time, the method further includes:
Acquiring a data identifier to be extracted; based on the data identification to be extracted, the network is identified through the data characteristics, such as: identifying a network based on the reinforcement learning features; extracting data characteristics corresponding to each data identifier to obtain data information characteristics; extracting a corresponding sub-fusion data sequence from the storage unit according to the data information characteristics, and further determining fusion data; and restoring the data information corresponding to the data information characteristics according to the initial data and the path information in the fusion data.
In an exemplary embodiment, as shown in fig. 7, a chip data storage method is provided, and the method is applied to the terminal 102 in fig. 1 for illustration, and includes the following steps 701 to 711. Wherein:
Step 701, obtaining a plurality of data information to be stored, source information of each data information to be stored, and storage space information of an internet of things chip, where the source information includes source data information and source method information.
Step 702, obtaining the association relationship between the data information to be stored according to the source data information and the source method information.
Step 703, obtaining a plurality of data types corresponding to the data information to be stored respectively.
Step 704, dividing the plurality of data information to be stored into a plurality of data information combinations based on the data types, wherein the data information to be stored in each data information combination has the same data type.
Step 705, for each data information combination, performing integration processing on each data information to be stored in the data information combination according to the association relationship between each data information to be stored in the data information combination, so as to obtain an association submodel corresponding to the data information combination.
And step 706, performing decision splicing processing on each relevance submodel according to the source information to obtain a relevance model.
Step 707, performing inverse-push operation processing on each piece of data information to be stored based on the association model, to obtain each piece of original data information corresponding to each piece of data information to be stored, and path information between each piece of original data information and each piece of data information to be stored.
In step 708, de-duplication and merging are performed on each piece of original data information, so as to obtain a plurality of pieces of initial data information and path information.
Step 709, obtaining a plurality of fusion data according to the plurality of initial data information and the path information.
And step 710, performing matching processing on the data size of the plurality of fusion data, the data type of the initial data information in each fusion data and the association degree of each fusion data and the storage space information to obtain storage matching information.
And step 711, storing the plurality of fusion data into the internet of things chip at the same time based on the storage matching information.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a chip data storage device for realizing the above related chip data storage method. The implementation of the solution provided by the device is similar to that described in the above method, so specific limitations in one or more chip data storage device embodiments provided below may be referred to above as limitations on the chip data storage method, and will not be described herein.
In one exemplary embodiment, as shown in fig. 8, there is provided a chip data storage device, comprising: a data acquisition module 802, a data fusion module 804, a data matching module 806, and a data storage module 808, wherein:
The data acquisition module 802 is configured to acquire a plurality of data information to be stored, source information of each data information to be stored, and storage space information of the chip of the internet of things;
The data fusion module 804 is configured to obtain a plurality of fusion data according to each source information, where the plurality of fusion data includes a plurality of initial data information and path information between each initial data information and a plurality of data to be stored, and the plurality of initial data information is part of the data to be stored in the plurality of data to be stored;
the data matching module 806 is configured to perform matching processing on the data sizes and the storage space information of the multiple fusion data, so as to obtain storage matching information;
The data storage module 808 is configured to store the plurality of fusion data to the internet of things chip at the same time based on the storage matching information.
In one embodiment, the data fusion module 804 is further configured to construct a plurality of association models corresponding to the data information to be stored based on each source information; based on the association model, carrying out reverse push screening treatment on a plurality of data information to be stored to obtain a plurality of initial data information and path information; and obtaining a plurality of fusion data according to the plurality of initial data information and the path information.
In one embodiment, the source information includes source data information and source method information; the data fusion module 804 is further configured to obtain an association relationship between the data information to be stored according to the source data information and the source method information; and integrating the plurality of data information to be stored according to the association relation to obtain an association model.
In one embodiment, the data fusion module 804 is further configured to obtain data types corresponding to the plurality of data information to be stored respectively; dividing a plurality of data information to be stored into a plurality of data information combinations based on the data types, wherein the data information to be stored in each data information combination has the same data type; aiming at each data information combination, according to the association relation between the data information to be stored in the data information combination, carrying out integration processing on the data information to be stored in the data information combination to obtain an association submodel corresponding to the data information combination; and carrying out decision splicing processing on each relevance submodel according to the source information to obtain a relevance model.
In one embodiment, the data fusion module 804 in the provided method is further configured to perform inverse-push operation processing on each piece of data information to be stored based on the association model, so as to obtain each piece of original data information corresponding to each piece of data information to be stored, and path information between each piece of original data information and each piece of data information to be stored; and performing de-duplication merging processing on each piece of original data information to obtain a plurality of pieces of initial data information and path information.
In one embodiment, the data matching module 806 is further configured to perform matching processing with the storage space information according to the data sizes of the plurality of fusion data, the data types of the initial data information in each fusion data, and the association degree of each fusion data, so as to obtain storage matching information.
The various modules in the chip data storage device described above may be implemented in whole or in part in software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In an exemplary embodiment, a computer device, which may be a terminal, is provided, and an internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a chip data storage method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are both information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to meet the related regulations.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method of storing chip data, the method comprising:
acquiring a plurality of pieces of data information to be stored, source information of each piece of data information to be stored and storage space information of an internet of things chip;
Obtaining a plurality of fusion data according to the source information, wherein the plurality of fusion data comprises a plurality of initial data information and path information between the initial data information and the plurality of data information to be stored, and the plurality of initial data information is part of the data information to be stored in the plurality of data information to be stored;
Matching the data sizes of the fusion data with the storage space information to obtain storage matching information;
And based on the storage matching information, storing the plurality of fusion data into the internet of things chip at the same time.
2. The method of claim 1, wherein obtaining a plurality of fusion data from each of the source information comprises:
based on the source information, constructing a correlation model corresponding to the plurality of data information to be stored;
Based on the association model, carrying out reverse push screening processing on the plurality of data information to be stored to obtain the plurality of initial data information and the path information;
And obtaining the fusion data according to the initial data information and the path information.
3. The method of claim 2, wherein the source information comprises source data information and source method information;
Based on the source information, constructing a correlation model corresponding to the data information to be stored, including:
Obtaining the association relation between the data information to be stored according to the source data information and the source method information;
and integrating the plurality of data information to be stored according to the association relation to obtain the association model.
4. The method of claim 3, wherein the integrating the plurality of data information to be stored according to the association relationship to obtain the association model includes:
Acquiring data types corresponding to the plurality of data information to be stored respectively;
Dividing the plurality of data information to be stored into a plurality of data information combinations based on the data types, wherein the data information to be stored in each data information combination has the same data type;
for each data information combination, according to the association relation between the data information to be stored in the data information combination, carrying out integration processing on the data information to be stored in the data information combination to obtain an association submodel corresponding to the data information combination;
and carrying out decision splicing processing on each relevance submodel according to the source information to obtain the relevance model.
5. The method of claim 2, wherein performing a reverse-push filtering process on the plurality of data information to be stored based on the association model to obtain the plurality of initial data information and the path information, comprises:
Performing inverse-push operation processing on each piece of data information to be stored based on the association model to obtain each piece of original data information corresponding to each piece of data information to be stored and path information between each piece of original data information and each piece of data information to be stored;
And performing de-duplication and merging processing on the original data information to obtain the plurality of initial data information and the path information.
6. The method of claim 4, wherein the matching the data sizes of the plurality of fusion data with the storage space information to obtain storage matching information comprises:
And carrying out matching processing on the data size of the fusion data, the data type of the initial data information in each fusion data and the association degree of each fusion data and the storage space information to obtain the storage matching information.
7. A chip data storage device, the device comprising:
the data acquisition module is used for acquiring a plurality of pieces of data information to be stored, source information of each piece of data information to be stored and storage space information of the internet of things chip;
The data fusion module is used for obtaining a plurality of fusion data according to the source information, wherein the fusion data comprise a plurality of initial data information and path information between the initial data information and the data information to be stored, and the initial data information is part of the data information to be stored in the data information to be stored;
the data matching module is used for matching the data sizes of the plurality of fusion data with the storage space information to obtain storage matching information;
and the data storage module is used for simultaneously storing the plurality of fusion data into the internet of things chip based on the storage matching information.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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