CN113961615A - Multi-layer service fusion decision method and system - Google Patents
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Abstract
The invention provides a multi-layer service fusion decision method and a multi-layer service fusion decision system. Acquiring data information based on a service engine, acquiring acquired information, and classifying the acquired information through a preset classification model by a digital storage sequence to generate a digital storage sequence; storing the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a central station; and performing fusion decision processing on the acquired information through a data center. The invention has the beneficial effects that: the invention can automatically input the preset data center station through the preset database, and is more efficient and convenient in data calculation. Data can be called when data processing is carried out, and data processing is realized by adding other data processing programs after calling. And the multi-data synchronous detection can be realized through the association diagram, and the data map is directly constructed through the association diagram.
Description
Technical Field
The invention relates to the technical field of data processing and computers, in particular to a multi-layer service fusion decision method and a multi-layer service fusion decision system.
Background
At present, in the process of acquiring massive data, particularly, the massive data is acquired, calculated, stored and processed, and meanwhile, the standard and the caliber are unified for calculation. For the whole process of data acquisition, data analysis, data mining, data quality detection, data map construction, data model generation and data API, data processing is required to be carried out step by step; but it has a slow processing speed and a low processing efficiency.
Disclosure of Invention
The invention provides a multi-layer service fusion decision method and a multi-layer service fusion decision system, which are used for solving the problems of low data processing speed and low efficiency in the prior art.
A multi-tier service convergence decision method comprises the following steps:
acquiring data information based on a service engine, acquiring acquired information, and classifying the acquired information through a preset classification model by a digital storage sequence to generate a digital storage sequence;
storing the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a central station;
and performing fusion decision processing on the acquired information through a data center.
As an embodiment of the present invention: the digital storage sequence classifies the acquired information through a preset classification model to generate a digital storage sequence, and the digital storage sequence comprises the following steps:
determining the information content of the acquired information according to the acquired information;
inputting the information content into a trained semantic recognition neural network to determine the information meaning;
according to the information meaning, layering the collected information;
inputting the layered collected information into the preset classification model, and determining information type parameters corresponding to the information content of each layer;
converting each type of information content into a digital parameter through a digital conversion rule according to the information type parameters;
and binding the information types through the digital parameters, and taking the bound digital parameters as a digital storage sequence.
As an embodiment of the present invention: the storing of the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a console comprises:
presetting a database and setting a data storage rule of the data; wherein,
the data storage rules include: partition rules, capacity rules, and distribution rules;
storing the acquisition information corresponding to the digital storage sequence according to the data storage rule to generate a storage area, and taking the digital storage sequence as a unique information identifier of the storage area as a data import and output identifier of the storage area;
determining the area position of each storage area according to the unique information identifier;
determining a region address according to the region position;
setting a data interface on each storage area according to the area address;
and acquiring a data reading rule, setting the data reading rule on the data interface, and inputting the data reading rule into a preset data center.
As an embodiment of the present invention: the configuring of the data transmission interface and the data reading rule on the database and the inputting of the preset data center station further comprises:
step 1: acquiring data of a storage area in the data center station, and determining the interface characteristics of the database through the following formula based on a data transmission interface:
wherein, wiRepresenting the spatial position characteristic of the ith storage area; riTo representThe spatial capacity of the ith storage region; beta is aiA spatial range coefficient representing an ith storage region; t isiA type feature representing the ith storage area; st，iThe data input and output quantity of the ith storage area at each moment is represented; 1, 2, 3 … … n; n represents the total number of storage regions;
step 2: according to the transmission interface, data reading rules are set adaptively, and rule characteristics are determined through the following formula:
wherein L isiA data type rule parameter indicating an i-th storage area; t is tiA time transmission threshold value representing the ith storage area; alpha is alphaiA read rule feature representing an ith storage area;
and step 3: judging whether the data transmission interface is matched with the data reading rule according to the interface characteristics and the rule characteristics of the database:
when P is more than or equal to 1, the data transmission interface is matched with the data reading rule to form a data middle station; when P < 1, the data transmission interface is not matched with the data reading rule, and the data middle station is not formed.
As an embodiment of the present invention: the fusion decision processing is carried out on the acquired information through the data center, and the fusion decision processing comprises the following steps:
according to the data center, determining the collection information stored in the data center;
determining dimension parameters of the acquired information on different dimensions according to the data transmission rule; wherein,
the dimension parameters comprise a space dimension, a demand dimension and a distance dimension;
respectively calculating the correlation among different storage areas in the data center according to the dimension parameters;
forming a correlation diagram of the storage area according to the correlation relationship;
according to the association diagram, when a user calls data through the data center station, determining a storage area of the data to be called and generating a calling decision;
and transmitting the collected information in the data center station to a user according to the calling decision.
A multi-tier service convergence decision system, comprising:
an acquisition module: the system comprises a service engine, a digital storage sequence and a data processing module, wherein the service engine is used for acquiring data information, acquiring acquired information, and the digital storage sequence classifies the acquired information through a preset classification model to generate a digital storage sequence;
data center connection module: the system comprises a database, a data transmission interface, a data reading rule and a data input center, wherein the database is used for storing a digital storage sequence into a preset database, configuring the data transmission interface and the data reading rule on the database and inputting the preset data into the data input center;
a decision module: and the fusion decision-making processing module is used for carrying out fusion decision-making processing on the acquired information through the data center.
As an embodiment of the present invention: the acquisition module comprises:
a content acquisition unit: the information content used for determining the acquisition information according to the acquisition information;
a first determination unit: the semantic recognition neural network is used for inputting the information content into the trained semantic recognition neural network and determining the information meaning;
a layering unit: the system is used for layering the collected information according to the information meaning;
a second determination unit: the system comprises a preset classification model, a data acquisition module, a data processing module and a data processing module, wherein the preset classification model is used for classifying the information of each layer;
a transformation unit: the device is used for converting each type of information content into a digital parameter through a digital conversion rule according to the information type parameter;
a binding unit: and the digital storage device is used for binding the information types through the digital parameters and taking the bound digital parameters as a digital storage sequence.
As an embodiment of the present invention: the data center station connecting module comprises:
a setting unit: the data storage rule is used for presetting a database and setting the data storage rule; wherein,
the data storage rules include: partition rules, capacity rules, and distribution rules;
an identification unit: the digital storage sequence is used for storing the acquisition information corresponding to the digital storage sequence according to the data storage rule to generate a storage area, and the digital storage sequence is used as a unique information identifier of the storage area and is used as a data import and output identifier of the storage area;
a third determination unit: the system is used for determining the area position of each storage area according to the unique information identifier;
a fourth determination unit: the system is used for determining the area address according to the area position;
a setting unit: the data interface is arranged on each storage area according to the area address;
a generation unit: and the reading rule is used for acquiring the data, setting the data reading rule on the data interface and inputting the data into a preset data center.
As an embodiment of the present invention: the data center station connecting module further comprises:
an interface feature calculation unit: the interface characteristic determining module is used for acquiring data of a storage area in the data center station and determining the interface characteristic of the database through the following formula based on a data transmission interface:
wherein, wiRepresenting the spatial position characteristic of the ith storage area; riRepresenting the space capacity of the ith storage area; beta is aiRepresents the ithSpatial range coefficients of the storage region; t isiA type feature representing the ith storage area; st，iThe data input and output quantity of the ith storage area at each moment is represented; 1, 2, 3 … … n; n represents the total number of storage regions;
a rule feature calculation unit: the data reading rule is adaptively set according to the transmission interface, and the rule characteristic is determined according to the following formula:
wherein L isiA data type rule parameter indicating an i-th storage area; t is tiA time transmission threshold value representing the ith storage area; alpha is alphaiA read rule feature representing an ith storage area;
a matching unit: the data transmission interface is used for judging whether the data transmission interface is matched with the data reading rule according to the interface characteristics and the rule characteristics of the database:
when P is more than or equal to 1, the data transmission interface is matched with the data reading rule to form a data middle station; when P < 1, the data transmission interface is not matched with the data reading rule, and the data middle station is not formed.
As an embodiment of the present invention: the decision module comprises:
a fifth determination unit: the data center is used for determining the acquisition information stored in the data center according to the data center;
a sixth determination unit: the data transmission rule is used for determining dimension parameters of the acquired information on different dimensions according to the data transmission rule; wherein,
the dimension parameters comprise a space dimension, a demand dimension and a distance dimension;
a calculation unit: the device is used for respectively calculating the correlation among different storage areas in the data center according to the dimension parameters;
a constituent unit: the association graph is used for forming the storage area according to the association relation;
a decision unit: the data center station is used for receiving the data to be called and generating a data calling decision;
a transmission unit: and the data center station is used for transmitting the collected information in the data center station to a user according to the calling decision.
The invention has the beneficial effects that: the invention can automatically input the preset data center station through the preset database during data acquisition when massive data are processed, and directly calculate the data of each area during data calculation, and can also call the corresponding data for calculation, thereby being more efficient and more convenient. When the data is stored, the data is directly stored in the data center, but when the data is processed, the data can be directly called, and after the data is called, the data processing is realized by adding other data processing programs. When the data quality detection and the data map are constructed, the multi-data synchronous detection can be realized through the association diagram, and the data map is constructed directly through the association diagram.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a method composition diagram of a multi-layer service fusion decision method according to an embodiment of the present invention;
fig. 2 is a system diagram of a multi-layer service convergence decision system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1, the present invention is a multi-layer service fusion decision method, including:
acquiring data information based on a service engine, acquiring acquired information, and classifying the acquired information through a preset classification model by a digital storage sequence to generate a digital storage sequence;
storing the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a central station;
and performing fusion decision processing on the acquired information through a data center.
The working principle of the technical scheme is as follows: the data center of the invention is a mechanism with data integration, data processing, data visualization and data value reappearance. The whole decision making process of the invention is after information collection, and the tool for collecting information is a data engine. The data engine can store, process and protect data, and the collected information can be stored in the database of the invention after being processed by the data engine. The digital storage sequence is used for taking one type of the acquired information of each layer as a digital storage sequence after the acquired information is layered according to the data content after the data content is clear, and the digital storage sequence is a digital mark of each type of data of each layer. When the digital storage sequence enters a preset database, the acquired information can also enter the database according to the digital storage sequence, then storage areas are respectively generated according to the acquired information corresponding to the digital storage sequence for storage, the data are not intercommunicated, and only when the data are called, the data can be fused. In the fusion decision stage, the data interfaces are realized according to the data transmission rules and the data transmission interfaces which are set in different storage areas, and a correlation diagram is established among the data interfaces, when data is called and processed, because the data is classified after layering and layering, each part is very clear, at the moment, the data is processed, and when other aspects of processing are needed, because the data is divided finely, only a related processing mode needs to be added into the database or is butted with the database, and then the corresponding data interfaces are butted, the high-fine-grained processing can be realized, and because the data division is very small, the data division is very clear, the step of processing the data layer by layer is more efficient compared with a pile of data; when the data is called, because the association diagram exists between the storage areas, the synchronous transmission can be carried out when the required data is determined according to the relationship, and the data transmission speed is improved.
The beneficial effects of the above technical scheme are: the invention can automatically input the preset data center station through the preset database during data acquisition when massive data are processed, and directly calculate the data of each area during data calculation, and can also call the corresponding data for calculation, thereby being more efficient and more convenient. When the data is stored, the data is directly stored in the data center, but when the data is processed, the data can be directly called, and after the data is called, the data processing is realized by adding other data processing programs. When the data quality detection and the data map are constructed, the multi-data synchronous detection can be realized through the association diagram, and the data map is constructed directly through the association diagram.
As an embodiment of the present invention: the digital storage sequence classifies the acquired information through a preset classification model to generate a digital storage sequence, and the digital storage sequence comprises the following steps:
determining the information content of the acquired information according to the acquired information;
inputting the information content into a trained semantic recognition neural network to determine the information meaning;
according to the information meaning, layering the collected information;
inputting the layered collected information into the preset classification model, and determining information type parameters corresponding to the information content of each layer;
converting each type of information content into a digital parameter through a digital conversion rule according to the information type parameters;
and binding the information types through the digital parameters, and taking the bound digital parameters as a digital storage sequence.
The principle and the beneficial effects of the technical scheme are as follows: in the process of acquiring data and generating a digital storage sequence, the invention analyzes the information content of the acquired information and then determines the meaning of the information through a semantic recognition neural network, wherein the meaning of the information comprises information acquired by the same data source and data acquired by different data sources. The semantic recognition neural network is a neural network model obtained after semantic training through a general neural network, is mainly based on training of keywords and key sentences or specialties and sentences, and is used for recognizing the meaning of information content. And layering according to the information meaning, namely layering the information with different meanings according to the meanings. Then the classification model classifies the information according to different forms of information such as text, voice, diagrams and the like. The information type parameter is set in advance, and the digital conversion rule is a conversion rule based on a unique identification parameter obtained after digitalizing the information type, the information amount and the information content. And the binding function is to facilitate the transmission and storage of the collected information.
As an embodiment of the present invention: the storing of the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a console comprises:
presetting a database and setting a data storage rule of the data; wherein,
the data storage rules include: partition rules, capacity rules, and distribution rules;
storing the acquisition information corresponding to the digital storage sequence according to the data storage rule to generate a storage area, and taking the digital storage sequence as a unique information identifier of the storage area as a data import and output identifier of the storage area;
determining the area position of each storage area according to the unique information identifier;
determining a region address according to the region position;
setting a data interface on each storage area according to the area address;
and acquiring a data reading rule, setting the data reading rule on the data interface, and inputting the data reading rule into a preset data center.
The principle and the beneficial effects of the technical scheme are as follows: in the data storage rule set by the invention, the partition rule divides the database into a plurality of areas according to the space size of the database, the area division mode comprises the same space capacity area division, the divided storage areas have the same size, the differentiated space capacity area division is carried out according to the actual storage requirement, the space capacity of each storage area of the capacity rule is the same, and the distribution rule shows how different types of collected information are classified. The digital storage sequence is used as a data import and output identifier of the storage area, so that the data import and data output are convenient, and the information collected by the invention can be continuously stored or stored at one time. The data interface is used for realizing the butt joint between different storage areas and the data input and output between an external memory and an internal memory, and the butt joint between the different storage areas is used for realizing the external expansion of the storage areas.
As an embodiment of the present invention: the configuring of the data transmission interface and the data reading rule on the database and the inputting of the preset data center station further comprises:
step 1: acquiring data of a storage area in the data center station, and determining the interface characteristics of the database through the following formula based on a data transmission interface:
wherein, wiRepresenting the spatial position characteristic of the ith storage area; riRepresenting the space capacity of the ith storage area; beta is aiA spatial range coefficient representing an ith storage region; t isiA type feature representing the ith storage area; st，iThe data input and output quantity of the ith storage area at each moment is represented; 1, 2, 3 … … n; n represents the total number of storage regions;
step 2: according to the transmission interface, data reading rules are set adaptively, and rule characteristics are determined through the following formula:
wherein L isiA data type rule parameter indicating an i-th storage area; t is tiA time transmission threshold value representing the ith storage area; alpha is alphaiA read rule feature representing an ith storage area;
and step 3: judging whether the data transmission interface is matched with the data reading rule according to the interface characteristics and the rule characteristics of the database:
when P is more than or equal to 1, the data transmission interface is matched with the data reading rule to form a data middle station; when P < 1, the data transmission interface is not matched with the data reading rule, and the data middle station is not formed.
The principle and the beneficial effects of the technical scheme are as follows: in the process of inputting the preset data center station, the data transmission interface and the data reading rule are matched, otherwise, the data cannot be transmitted and stored, and the database cannot be used as the data center station,in step 1, wiThe joint space for representing the different areas is, determining the spatial distribution,
the capacity for determining the storage capacity and the type of the stored information of the storage area in the existing space range can also be judged, and the capacity of different types of data space occupation can also be judged. St，iThe device is used for determining the maximum input and output quantity of data at the same moment;
for charting the whole process by an exponential function. In step 2: the data type rule parameter corresponds to the storage capacity and the type of the storage information of the storage area in the existing space range, and is used for limiting the type of the data which can be stored in the output; the time transmission threshold is used for limiting the maximum transmission quantity of data at the same time and preventing data packet loss. The reading rule feature is to implement the storage and reading rules of data. And the final matching step, namely whether the data is matched or not is calculated based on the correlation, so that the matching of the type of the acquired information data, the matching of spatial distribution, the matching of the transmission position and the like is realized, and whether the data center is formed or not is also checked.
As an embodiment of the present invention: the fusion decision processing of the collected information according to the data center station includes:
according to the data center, determining the collection information stored in the data center;
determining dimension parameters of the acquired information on different dimensions according to the data transmission rule; wherein,
the dimension parameters comprise a space dimension, a demand dimension and a distance dimension;
respectively calculating the correlation among different storage areas in the data center according to the dimension parameters;
forming a correlation diagram of the storage area according to the correlation relationship;
according to the association diagram, when a user calls data through the data center station, determining a storage area of the data to be called and generating a calling decision;
and transmitting the collected information in the data center station to a user according to the calling decision.
The principle and the beneficial effects of the technical scheme are as follows: the space dimension is to determine the space distribution of the data, the demand dimension is necessarily called according to the demand when calling, therefore, the demand dimension is the dimension of the demand parameter and the distance dimension when calling are the distances between the data and the read target position, the correlation among different storage areas can be determined through the parameters, and then a correlation diagram can be formed according to the values of the correlation, the number of the storage areas communicated in the data is large, the invention only limits the relation among the storage areas for collecting the data, the correlation values determine the areas of the different storage areas, then different dimensional characteristics are embodied in the correlation diagram in the modes of area, color and height, and then a calling decision can be generated when calling the data, the calling decision is how to call, the calling distance, the calling address and the calling range, and then data calling is carried out on a storage area corresponding to the console control in the generated data, wherein the calling comprises storage and acquisition.
In one embodiment, the method determines a storage area of data to be called when a user calls data through the data center station according to the association map, and generates a calling decision, and further includes the following steps:
step S1: defining parameters of each storage region based on the association graph, and constructing a parameter set A ═ Q1，Q2……Qj]；
Wherein Q isj＝(xj，yj，zj) J ═ 1, 2, 3 … …, M; m represents the total number of storage areas; qjRepresenting the parameter of the jth memory region. In the present invention, the dimension parameter; x is the number ofj，yj，zjThe space dimension parameter, the demand dimension parameter and the distance dimension parameter are respectively represented.
Step 2: according to the parameter set, constructing a regression function based on dot product operation of high-dimensional spatial features:
wherein,
lagrange multipliers representing the jth memory region, b representing the amount of deviation;
the function of calculating the regression function is that the regression function can construct a decision function, and the function of the decision function is that the region parameters of each storage region and the kernel function are substituted into the calculation together for prediction, and the region which can be called in a decision mode is judged.
In this process, step S3 is as follows:
acquiring a kernel function of data calling, and constructing a decision function through the kernel function and a regression function:
wherein, G (v, v)j) Representing a kernel function; v represents a search speed; v. ofjIndicating the search speed for the jth memory region.
By the decision function constructed in the step 3, the maximum value of the decision function can be determined according to the value after the last substitution of each region and the kernel function, and according to the final result of the substituted value, after the maximum value is determined, the corresponding storage region is the region for data calling by the data center, but in the prior art, the data calling is generally based on the target mark, and the memory region and the address of the storage region are required to be determined to be called before calling.
As shown in fig. 2, the present invention further includes a multi-layer service fusion decision system, comprising:
an acquisition module: the system comprises a service engine, a digital storage sequence and a data processing module, wherein the service engine is used for acquiring data information, acquiring acquired information, and the digital storage sequence classifies the acquired information through a preset classification model to generate a digital storage sequence;
data center connection module: the system comprises a database, a data transmission interface, a data reading rule and a data input center, wherein the database is used for storing a digital storage sequence into a preset database, configuring the data transmission interface and the data reading rule on the database and inputting the preset data into the data input center;
a decision module: and the fusion decision-making processing module is used for carrying out fusion decision-making processing on the acquired information through the data center.
The working principle of the technical scheme is as follows: the whole decision making process of the invention is after information collection, and the tool for collecting information is a data engine. The data engine can store, process and protect data, and the collected information can be stored in the database of the invention after being processed by the data engine. The digital storage sequence is used for taking one type of the acquired information of each layer as a digital storage sequence after the acquired information is layered according to the data content after the data content is clear, and the digital storage sequence is a digital mark of each type of data of each layer. When the digital storage sequence enters a preset database, the acquired information can also enter the database according to the digital storage sequence, then storage areas are respectively generated according to the acquired information corresponding to the digital storage sequence for storage, the data are not intercommunicated, and only when the data are called, the data can be fused. In the fusion decision stage, the data interfaces are realized according to the data transmission rules and the data transmission interfaces which are set in different storage areas, and a correlation diagram is established among the data interfaces, when data is called and processed, because the data is classified after layering and layering, each part is very clear, at the moment, the data is processed, and when other aspects of processing are needed, because the data is divided finely, only a related processing mode needs to be added into the database or is butted with the database, and then the corresponding data interfaces are butted, the high-fine-grained processing can be realized, and because the data division is very small, the data division is very clear, the step of processing the data layer by layer is more efficient compared with a pile of data; when the data is called, because the association diagram exists between the storage areas, the synchronous transmission can be carried out when the required data is determined according to the relationship, and the data transmission speed is improved.
The beneficial effects of the above technical scheme are: the invention can automatically input the preset data center station through the preset database during data acquisition when massive data are processed, and directly calculate the data of each area during data calculation, and can also call the corresponding data for calculation, thereby being more efficient and more convenient. When the data is stored, the data is directly stored in the data center, but when the data is processed, the data can be directly called, and after the data is called, the data processing is realized by adding other data processing programs. When the data quality detection and the data map are constructed, the multi-data synchronous detection can be realized through the association diagram, and the data map is constructed directly through the association diagram.
As an embodiment of the present invention: the acquisition module comprises:
a content acquisition unit: the information content used for determining the acquisition information according to the acquisition information;
a first determination unit: the semantic recognition neural network is used for inputting the information content into the trained semantic recognition neural network and determining the information meaning;
a layering unit: the system is used for layering the collected information according to the information meaning;
a second determination unit: the system comprises a preset classification model, a data acquisition module, a data processing module and a data processing module, wherein the preset classification model is used for classifying the information of each layer;
a transformation unit: the device is used for converting each type of information content into a digital parameter through a digital conversion rule according to the information type parameter;
a binding unit: and the digital storage device is used for binding the information types through the digital parameters and taking the bound digital parameters as a digital storage sequence.
The principle and the beneficial effects of the technical scheme are as follows: in the process of acquiring data and generating a digital storage sequence, the invention analyzes the information content of the acquired information and then determines the meaning of the information through a semantic recognition neural network, wherein the meaning of the information comprises information acquired by the same data source and data acquired by different data sources. The semantic recognition neural network is a neural network model obtained after semantic training through a general neural network, is mainly based on training of keywords and key sentences or specialties and sentences, and is used for recognizing the meaning of information content. And layering according to the information meaning, namely layering the information with different meanings according to the meanings. Then the classification model classifies the information according to different forms of information such as text, voice, diagrams and the like. The information type parameter is set in advance, and the digital conversion rule is a conversion rule based on a unique identification parameter obtained after digitalizing the information type, the information amount and the information content. And the binding function is to facilitate the transmission and storage of the collected information.
As an embodiment of the present invention: the data center station connecting module comprises:
a setting unit: the data storage rule is used for presetting a database and setting the data storage rule; wherein,
the data storage rules include: partition rules, capacity rules, and distribution rules;
an identification unit: the digital storage sequence is used for storing the acquisition information corresponding to the digital storage sequence according to the data storage rule to generate a storage area, and the digital storage sequence is used as a unique information identifier of the storage area and is used as a data import and output identifier of the storage area;
a third determination unit: the system is used for determining the area position of each storage area according to the unique information identifier;
a fourth determination unit: the system is used for determining the area address according to the area position;
a setting unit: the data interface is arranged on each storage area according to the area address;
a generation unit: and the reading rule is used for acquiring the data, setting the data reading rule on the data interface and inputting the data into a preset data center.
The principle and the beneficial effects of the technical scheme are as follows: in the data storage rule set by the invention, the partition rule divides the database into a plurality of areas according to the space size of the database, the area division mode comprises the same space capacity area division, the divided storage areas have the same size, the differentiated space capacity area division is carried out according to the actual storage requirement, the space capacity of each storage area of the capacity rule is the same, and the distribution rule shows how different types of collected information are classified. The digital storage sequence is used as a data import and output identifier of the storage area, so that the data import and data output are convenient, and the information collected by the invention can be continuously stored or stored at one time. The data interface is used for realizing the butt joint between different storage areas and the data input and output between an external memory and an internal memory, and the butt joint between the different storage areas is used for realizing the external expansion of the storage areas.
As an embodiment of the present invention: the data center station connecting module further comprises:
an interface feature calculation unit: the interface characteristic determining module is used for acquiring data of a storage area in the data center station and determining the interface characteristic of the database through the following formula based on a data transmission interface:
wherein, wiRepresenting the spatial position characteristic of the ith storage area; riRepresenting the space capacity of the ith storage area; beta is aiA spatial range coefficient representing an ith storage region; t isiA type feature representing the ith storage area; st，iIndicating at each moment in timeThe data input and output quantity of the i storage areas; 1, 2, 3 … … n; n represents the total number of storage regions;
a rule feature calculation unit: the data reading rule is adaptively set according to the transmission interface, and the rule characteristic is determined according to the following formula:
wherein L isiA data type rule parameter indicating an i-th storage area; t is tiA time transmission threshold value representing the ith storage area; alpha is alphaiA read rule feature representing an ith storage area;
a matching unit: the data transmission interface is used for judging whether the data transmission interface is matched with the data reading rule according to the interface characteristics and the rule characteristics of the database:
when P is more than or equal to 1, the data transmission interface is matched with the data reading rule to form a data middle station; when P < 1, the data transmission interface is not matched with the data reading rule, and the data middle station is not formed.
The principle and the beneficial effects of the technical scheme are as follows: in the process of inputting the preset data center station, the data transmission interface and the data reading rule are matched, otherwise, the data cannot be transmitted and stored, and the database cannot be used as the data center station, and in the step 1, wiThe joint space for representing the different areas is, determining the spatial distribution,
the capacity for determining the storage capacity and the type of the stored information of the storage area in the existing space range can also be judged, and the capacity of different types of data space occupation can also be judged. St，iThe device is used for determining the maximum input and output quantity of data at the same moment;
for charting the whole process by an exponential function. In step 2: the data type rule parameter corresponds to the storage capacity and the type of the storage information of the storage area in the existing space range, and is used for limiting the type of the data which can be stored in the output; the time transmission threshold is used for limiting the maximum transmission quantity of data at the same time and preventing data packet loss. The reading rule feature is to implement the storage and reading rules of data. And the final matching step, namely whether the data is matched or not is calculated based on the correlation, so that the matching of the type of the acquired information data, the matching of spatial distribution, the matching of the transmission position and the like is realized, and whether the data center is formed or not is also checked.
As an embodiment of the present invention: the decision module comprises:
a fifth determination unit: the data center is used for determining the acquisition information stored in the data center according to the data center;
a sixth determination unit: the data transmission rule is used for determining dimension parameters of the acquired information on different dimensions according to the data transmission rule; wherein,
the dimension parameters comprise a space dimension, a demand dimension and a distance dimension;
a calculation unit: the device is used for respectively calculating the correlation among different storage areas in the data center according to the dimension parameters;
a constituent unit: the association graph is used for forming the storage area according to the association relation;
a decision unit: the data center station is used for receiving the data to be called and generating a data calling decision;
a transmission unit: and the data center station is used for transmitting the collected information in the data center station to a user according to the calling decision.
The principle and the beneficial effects of the technical scheme are as follows: the space dimensionality is used for determining the space distribution of data, and the requirement dimensionality is required to be called according to requirements when called, so that the requirement dimensionality is the dimensionality of a requirement parameter when called and the distance dimensionality is the distance between the data and a read target position, the correlation among different storage areas can be determined through the parameters, a correlation diagram can be formed according to the values of the correlation, a calling decision can be generated when the data is called, the calling decision is how to call, the called distance, the called address and the calling range, and then the generated data center is controlled to control the corresponding storage area to call the data, and the calling comprises storage and acquisition.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A multi-tier service convergence decision method is characterized by comprising the following steps:
acquiring data information based on a service engine, acquiring acquired information, classifying the acquired information through a preset classification model, and generating a digital storage sequence;
storing the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a central station;
and performing fusion decision processing on the acquired information through a data center.
2. The multi-tier service fusion decision method of claim 1, wherein the classifying the collected information by a preset classification model to generate a digital storage sequence comprises:
determining the information content of the acquired information according to the acquired information;
inputting the information content into a trained semantic recognition neural network to determine the information meaning;
according to the information meaning, layering the collected information;
inputting the layered collected information into the preset classification model, and determining information type parameters corresponding to the information content of each layer;
converting each type of information content into a digital parameter through a digital conversion rule according to the information type parameters;
and binding the information types through the digital parameters, and taking the bound digital parameters as a digital storage sequence.
3. The multi-tier service convergence decision method of claim 1, wherein the storing the digital storage sequence into a preset database, configuring a data transmission interface and a data reading rule on the database, and inputting the preset data into a central station comprises:
presetting a database and setting a data storage rule of the data; wherein,
the data storage rules include: partition rules, capacity rules, and distribution rules;
storing the acquisition information corresponding to the digital storage sequence according to the data storage rule to generate a storage area, and taking the digital storage sequence as a unique information identifier of the storage area as a data import and output identifier of the storage area;
determining the area position of each storage area according to the unique information identifier;
determining a region address according to the region position;
setting a data interface on each storage area according to the area address;
and acquiring a data reading rule, setting the data reading rule on the data interface, and inputting the data reading rule into a preset data center.
4. The multi-tier service fusion decision method of claim 1, wherein the configuring of the data transmission interface and the data reading rule on the database and the inputting of the preset data center, further comprises:
step 1: acquiring data of a storage area in the data center station, and determining the interface characteristics of the database through the following formula based on a data transmission interface:
wherein, wiRepresenting the spatial position characteristic of the ith storage area; riRepresenting the space capacity of the ith storage area; beta is aiA spatial range coefficient representing an ith storage region; t isiA type feature representing the ith storage area; st，iThe data input and output quantity of the ith storage area at each moment is represented; 1, 2, 3 … … n; n represents the total number of storage regions;
step 2: according to the transmission interface, data reading rules are set adaptively, and rule characteristics are determined through the following formula:
wherein L isiA data type rule parameter indicating an i-th storage area; t is tiA time transmission threshold value representing the ith storage area; alpha is alphaiA read rule feature representing an ith storage area;
and step 3: judging whether the data transmission interface is matched with the data reading rule according to the interface characteristics and the rule characteristics of the database:
when P is more than or equal to 1, the data transmission interface is matched with the data reading rule to form a data middle station; when P < 1, the data transmission interface is not matched with the data reading rule, and the data middle station is not formed.
5. The multi-layer service convergence decision method of claim 1, wherein the convergence decision processing of the collected information by the data center comprises:
according to the data center, determining the collection information stored in the data center;
determining dimension parameters of the acquired information on different dimensions according to the data transmission rule; wherein,
the dimension parameters comprise a space dimension, a demand dimension and a distance dimension;
respectively calculating the correlation among different storage areas in the data center according to the dimension parameters;
forming a correlation diagram of the storage area according to the correlation relationship;
according to the association diagram, when a user calls data through the data center station, determining a storage area of the data to be called and generating a calling decision;
and transmitting the collected information in the data center station to a user according to the calling decision.
6. A multi-tier service convergence decision system, comprising:
an acquisition module: the system comprises a service engine, a digital storage sequence and a data processing module, wherein the service engine is used for acquiring data information, acquiring acquired information, and the digital storage sequence classifies the acquired information through a preset classification model to generate a digital storage sequence;
data center connection module: the system comprises a database, a data transmission interface, a data reading rule and a data input center, wherein the database is used for storing a digital storage sequence into a preset database, configuring the data transmission interface and the data reading rule on the database and inputting the preset data into the data input center;
a decision module: and the fusion decision-making processing is carried out on the acquired information through the data center.
7. The multi-tier service fusion decision system of claim 1, wherein the collection module comprises:
a content acquisition unit: the information content used for determining the acquisition information according to the acquisition information;
a first determination unit: the semantic recognition neural network is used for inputting the information content into the trained semantic recognition neural network and determining the information meaning;
a layering unit: the system is used for layering the collected information according to the information meaning;
a second determination unit: the system comprises a preset classification model, a data acquisition module, a data processing module and a data processing module, wherein the preset classification model is used for classifying the information of each layer;
a transformation unit: the device is used for converting each type of information content into a digital parameter through a digital conversion rule according to the information type parameter;
a binding unit: and the digital storage device is used for binding the information types through the digital parameters and taking the bound digital parameters as a digital storage sequence.
8. The multi-tier service convergence decision system of claim 1, wherein the data middlebox connection module comprises:
a setting unit: the data storage rule is used for presetting a database and setting the data storage rule; wherein,
the data storage rules include: partition rules, capacity rules, and distribution rules;
an identification unit: the digital storage sequence is used for storing the acquisition information corresponding to the digital storage sequence according to the data storage rule to generate a storage area, and the digital storage sequence is used as a unique information identifier of the storage area and is used as a data import and output identifier of the storage area;
a third determination unit: the system is used for determining the area position of each storage area according to the unique information identifier;
a fourth determination unit: the system is used for determining the area address according to the area position;
a setting unit: the data interface is arranged on each storage area according to the area address;
a generation unit: and the reading rule is used for acquiring the data, setting the data reading rule on the data interface and inputting the data into a preset data center.
9. The multi-tier service convergence decision system of claim 1, wherein the data middlebox connection module further comprises:
an interface feature calculation unit: the interface characteristic determining module is used for acquiring data of a storage area in the data center station and determining the interface characteristic of the database through the following formula based on a data transmission interface:
wherein, wiRepresenting the spatial position characteristic of the ith storage area; riRepresenting the space capacity of the ith storage area; beta is aiA spatial range coefficient representing an ith storage region; t isiA type feature representing the ith storage area; st，iThe data input and output quantity of the ith storage area at each moment is represented; 1, 2, 3 … … n; n represents the total number of storage regions;
a rule feature calculation unit: the data reading rule is adaptively set according to the transmission interface, and the rule characteristic is determined according to the following formula:
wherein L isiA data type rule parameter indicating an i-th storage area; t is tiA time transmission threshold value representing the ith storage area; alpha is alphaiA read rule feature representing an ith storage area;
a matching unit: the data transmission interface is used for judging whether the data transmission interface is matched with the data reading rule according to the interface characteristics and the rule characteristics of the database:
when P is more than or equal to 1, the data transmission interface is matched with the data reading rule to form a data middle station; when P < 1, the data transmission interface is not matched with the data reading rule, and the data middle station is not formed.
10. The multi-tier service convergence decision system of claim 1, wherein the decision module comprises:
a fifth determination unit: the data center is used for determining the acquisition information stored in the data center according to the data center;
a sixth determination unit: the data transmission rule is used for determining dimension parameters of the acquired information on different dimensions according to the data transmission rule; wherein,
the dimension parameters comprise a space dimension, a demand dimension and a distance dimension;
a calculation unit: the device is used for respectively calculating the correlation among different storage areas in the data center according to the dimension parameters;
a constituent unit: the association graph is used for forming the storage area according to the association relation;
a decision unit: the data center station is used for receiving the data to be called and generating a data calling decision;
a transmission unit: and the data center station is used for transmitting the collected information in the data center station to a user according to the calling decision.
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