CN117610505B

CN117610505B - Data processing method and device based on standard model

Info

Publication number: CN117610505B
Application number: CN202311585467.2A
Authority: CN
Inventors: 刘海; 朱建民; 张磊; 冯俊池
Original assignee: Institute of Systems Engineering of PLA Academy of Military Sciences
Current assignee: Institute of Systems Engineering of PLA Academy of Military Sciences
Priority date: 2023-11-24
Filing date: 2023-11-24
Publication date: 2024-05-10
Anticipated expiration: 2043-11-24
Also published as: CN117610505A

Abstract

The application discloses a data processing method and device based on a standard model, wherein the method comprises the following steps: responding to the model construction operation of a user on a first operation interface to obtain target model basic information; the target model basic information comprises a plurality of first model basic information; determining target model parameter information based on the target model basic information and a standard model library; the target model parameter information comprises a plurality of first model parameter information; and determining the target model document information based on the target model parameter information and the target model basic information. Therefore, the application is beneficial to improving the utilization efficiency and the model management efficiency of the standard model, further realizes one-place construction and unified management capability of the standard model, ensures unified measurement and calculation of each system, and avoids the repeated construction problem of the standard model in each service system.

Description

Data processing method and device based on standard model

Technical Field

The present invention relates to the field of model processing technologies, and in particular, to a data processing method and apparatus based on a standard model.

Background

Currently, application requirements of standard-based business measurement, auxiliary decision making, compliance examination and the like are increased increasingly, and some systems generally construct a related business measurement model based on standard files, so that the application of measurement, auxiliary decision making, compliance examination and the like can be realized. However, when the same standard is used for service measurement and calculation, different service systems often develop a measurement and calculation model repeatedly based on the standard, and the standard is consistent, so that the repeated construction of software functions is caused, the measurement and calculation model is built in one system by adopting a cloud API service calling mode of the measurement and calculation model, and other service systems are integrated and called, so that the problem of repeated construction can be solved. However, in practical application, a plurality of service systems are deployed in different offline environments, and networks cannot be mutually communicated. Therefore, the data processing method and the data processing device based on the standard model are provided, so that the utilization efficiency of the standard model and the management efficiency of the model are improved, the one-place construction and unified management capacity of the standard model are further realized, the unified measurement and calculation of each system is ensured, and the problem of repeated construction of the standard model in each service system is avoided.

Disclosure of Invention

The technical problem to be solved by the invention is to provide the data processing method and the data processing device based on the standard model, which are favorable for improving the utilization efficiency of the standard model and the management efficiency of the model, further realize one-place construction and unified management of the standard model, ensure the unified measurement and calculation of each system and avoid the repeated construction problem of the standard model in each service system.

In order to solve the technical problem, a first aspect of the embodiment of the present invention discloses a data processing method based on a standard model, where the method includes:

Responding to the model construction operation of a user on a first operation interface to obtain target model basic information; the target model basic information comprises a plurality of first model basic information; the first operation interface comprises a first operation editing unit, a second operation editing unit, a third operation editing unit, a first operation display unit and a second operation display unit; the first operation editing unit comprises a retrieval operation subunit and a creation operation subunit; the second operation editing unit comprises a first list display subunit, a second list display subunit and a list operation subunit;

determining target model parameter information based on the target model basic information and a standard model library; the target model parameter information comprises a plurality of first model parameter information;

and determining target model document information based on the target model parameter information and the target model basic information.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the third operation editing unit includes a create editing operation subunit and a create selection operation subunit; the transverse area span and the longitudinal area span of the creation and selection operation subunit are smaller than those of the creation and editing operation subunit;

The responding to the model construction operation of the user on the first operation interface obtains the basic information of the target model, which comprises the following steps:

Detecting whether a model creation instruction generated by a user when the creation operation subunit performs model creation operation is received or not, and obtaining a model creation detection result;

when the model creation detection result is yes, loading and displaying the third operation editing unit; the third operation editing unit in a display state is positioned above the second operation editing unit;

Responding to the information editing operation of the creating and editing operation subunit in the third operation editing unit by the user to obtain first model creating information;

detecting whether an information creation instruction generated by the user when the creation selection operation subunit performs selection operation in the third operation editing unit is received or not, and obtaining an information creation detection result;

When the information creation detection result is yes, acquiring system time information and model serial number information;

hiding the third operation editing unit;

Carrying out fusion processing on the system time information, the model serial number information and the first model creation information to obtain first model basic information;

When the information creation detection result is no, triggering and executing whether the detection is performed by a time interval unit or not to receive an information creation instruction generated when the user performs the selection operation in the creation selection operation subunit in the third operation editing unit, so as to obtain the information creation detection result;

when the model creation detection result is no, detecting whether an interface jump instruction generated by the user when the second operation editing unit performs the selection operation is received or not, and obtaining a jump instruction detection result;

when the jump instruction detection result is yes, triggering and executing the basic information and the standard model library based on the target model to determine the parameter information of the target model;

and when the jump instruction detection result is NO, triggering and executing the detection whether a model creation instruction generated by a user when the creation operation subunit performs the model creation operation is received or not by two time interval units, so as to obtain a model creation detection result.

In a first aspect of the embodiment of the present invention, the determining the target model parameter information based on the target model basic information and the standard model library includes:

determining the first model basic information corresponding to the interface jump instruction as model information to be processed;

loading and displaying a second operation interface corresponding to the model information to be processed; each interface jump instruction corresponds to one of the first model base information;

Responding to the model setting operation of the user on the second operation interface to obtain the first model parameter information corresponding to the to-be-processed model information;

detecting whether a new interface jump instruction is received or not to obtain a new instruction detection result;

When the new instruction detection result is yes, triggering and executing the first model basic information corresponding to the interface jump instruction to be determined to be the model information to be processed;

when the new instruction detection result is NO, detecting whether a model export instruction is received or not to obtain a model export detection result;

When the model export result is yes, triggering and executing the target model based on the target model parameter information and the target model basic information to determine target model document information;

and when the model export result is NO, triggering and executing the detection whether a new interface jump instruction is received or not by a time interval unit to obtain a new instruction detection result.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the second operation interface includes an interface switching unit, an interface information display unit, a node editing unit, a model setting unit, and a parameter setting unit; the interface switching unit user displays an operation interface in an activated state; the interface information display unit is used for displaying the to-be-processed model information and the interface attribute information of the second operation interface; the node editing unit user responds to the selection operation of the user on the model node; the model setting unit is used for responding to the editing operation of the model node in the node editing unit by the user; the parameter setting unit is used for responding to the parameter setting operation of the user on the model node;

The interface switching unit, the interface information display unit, the node editing unit and the model setting unit are aligned and arranged in the plumb direction along a left boundary;

the node editing unit and the parameter setting unit are arranged below the interface information display unit from left to right in parallel;

The transverse area span of the node editing unit, the transverse area span of the model setting unit and the transverse area span of the parameter setting unit are smaller than the transverse area span of the interface information display unit;

The longitudinal area span of the interface switching unit, the longitudinal area span of the interface information display unit, the longitudinal area span of the node editing unit and the longitudinal area span of the model setting unit are smaller than the longitudinal area span of the parameter setting unit;

the transverse area span of the node editing unit and the transverse area span of the model setting unit are both larger than the transverse area span of the parameter setting unit.

In an optional implementation manner, in a first aspect of the embodiment of the present invention, the obtaining, in response to a model setting operation of the user on the second operation interface, the first model parameter information corresponding to the to-be-processed model information includes:

Responding to the selection operation of the user on the model node in the node editing unit to obtain target model node information; the target model node information comprises M target model nodes; m is a positive integer not less than 3; the node editing unit comprises N model nodes and 1 control node; the N is a positive integer not less than 5;

responding to the connection setting of the user on the target model node information in the model setting unit to obtain model node connection relation information; the model node connection relation information comprises K model node connection relation pairs; the K is a positive integer which is not less than M minus 1;

For any target model node, responding to the parameter setting operation of the user on the target model node in the parameter setting unit to obtain model basic parameter information corresponding to the target model node; the parameter setting unit comprises a parameter name display area and P parameter setting areas; the parameter name display area is used for displaying node names corresponding to the target model nodes; the parameter setting area is used for setting parameters of the target model node; the longitudinal area span of the parameter setting area is larger than the longitudinal area span corresponding to the parameter name display area; the P is a positive integer not less than 1 and not more than 3;

detecting whether a parameter generation instruction generated by the user in the node editing unit for selecting the control node is received or not, and obtaining a parameter generation detection result;

When the parameter generation detection result is yes, carrying out fusion processing on the target model node information, the model node connection relation information and the model basic parameter information to obtain the first model parameter information corresponding to the model information to be processed;

And when the parameter generation detection result is NO, two time interval units are separated, triggering and executing whether the detection is performed to receive a parameter generation instruction generated by the selection operation of the user on the control node by the node editing unit, so as to obtain the parameter generation detection result.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the model nodes include X first model nodes and Y second model nodes; said Y and said M are both greater than said X; each first model node has a unique corresponding target model node in the target model node information; each second model node has at least one corresponding target model node in the target model node information.

In a first aspect of the embodiment of the present invention, the determining, based on the target model parameter information and the target model basic information, target model document information includes:

detecting whether a model export instruction generated by the user when the list operation subunit performs selection operation is received or not, and obtaining a model export detection result;

when the model export detection result is yes, determining the first model basic information corresponding to the model export instruction as target export model basic information;

Determining the first model parameter information corresponding to the target derived model basic information as target derived model parameter information;

loading standard model information corresponding to the target derived model parameter information from a standard model database;

Carrying out fusion processing on the standard model information, the target derived model parameter information and the target derived model basic information to obtain target model document information;

and when the model export detection result is NO, triggering and executing whether the detection is performed by three time interval units or not to receive a model export instruction generated by the user when the list operation subunit performs the selection operation, so as to obtain the model export detection result.

The second aspect of the embodiment of the invention discloses a data processing device based on a standard model, which comprises:

The response module is used for responding to the model construction operation of the user on the first operation interface to obtain the basic information of the target model; the target model basic information comprises a plurality of first model basic information; the first operation interface comprises a first operation editing unit, a second operation editing unit, a third operation editing unit, a first operation display unit and a second operation display unit; the first operation editing unit comprises a retrieval operation subunit and a creation operation subunit; the second operation editing unit comprises a first list display subunit, a second list display subunit and a list operation subunit;

The first determining module is used for determining the parameter information of the target model based on the basic information of the target model and the standard model library; the target model parameter information comprises a plurality of first model parameter information;

And the second determining module is used for determining target model document information based on the target model parameter information and the target model basic information.

A third aspect of the invention discloses another data processing apparatus based on a standard model, said apparatus comprising:

a memory storing executable program code;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to perform some or all of the steps in the standard model-based data processing method disclosed in the first aspect of the embodiment of the present invention.

A fourth aspect of the invention discloses a computer readable storage medium storing computer instructions which, when invoked, are adapted to perform part or all of the steps of the standard model-based data processing method disclosed in the first aspect of the embodiments of the invention.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

In the embodiment of the application, the basic information of the target model is obtained in response to the model building operation of the user on the first operation interface; the target model basic information comprises a plurality of first model basic information; the first operation interface comprises a first operation editing unit, a second operation editing unit, a third operation editing unit, a first operation display unit and a second operation display unit; the first operation editing unit comprises a retrieval operation subunit and a creation operation subunit; the second operation editing unit comprises a first list display subunit, a second list display subunit and a list operation subunit; determining target model parameter information based on the target model basic information and a standard model library; the target model parameter information comprises a plurality of first model parameter information; and determining the target model document information based on the target model parameter information and the target model basic information. Therefore, the application is beneficial to improving the utilization efficiency and the model management efficiency of the standard model, further realizes one-place construction and unified management capability of the standard model, ensures unified measurement and calculation of each system, and avoids the repeated construction problem of the standard model in each service system.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a data processing method based on a standard model according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a data processing apparatus based on a standard model according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of another data processing apparatus based on a standard model according to an embodiment of the present invention.

Detailed Description

In order to make the present invention better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The invention discloses a data processing method and a data processing device based on a standard model, which are beneficial to improving the utilization efficiency of the standard model and the management efficiency of the model, further realize the one-place construction and unified management capacity of the standard model, ensure the unified measurement and calculation of each system and avoid the repeated construction problem of the standard model in each service system. The following will describe in detail.

Example 1

Referring to fig. 1, fig. 1 is a flow chart of a data processing method based on a standard model according to an embodiment of the invention. The data processing method based on the standard model described in fig. 1 is applied to a model management system, such as a local server or a cloud server for data processing management based on the standard model, which is not limited in the embodiment of the present invention. As shown in fig. 1, the standard model-based data processing method may include the following operations:

101. And responding to the model construction operation of the user on the first operation interface to obtain the basic information of the target model.

In the embodiment of the invention, the target model basic information comprises a plurality of first model basic information.

In the embodiment of the invention, the first operation interface comprises a first operation editing unit, a second operation editing unit, a third operation editing unit, a first operation display unit and a second operation display unit.

In the embodiment of the invention, the first operation editing unit comprises a searching operation subunit and a creating operation subunit.

In the embodiment of the invention, the second operation editing unit comprises a first list display subunit, a second list display subunit and a list operation subunit.

102. And determining the parameter information of the target model based on the basic information of the target model and the standard model library.

In the embodiment of the invention, the target model parameter information comprises a plurality of first model parameter information.

103. And determining the target model document information based on the target model parameter information and the target model basic information.

It should be noted that, the above-mentioned search operation subunit is configured to perform targeted search on the existing first model basic information.

The first operation editing unit, the first operation display unit, and the second operation display unit are aligned in the plumb direction with respect to the left boundary.

It should be noted that, the first operation display unit is configured to display a link classification corresponding to the first model basic information. Further, the second operation display unit is used for displaying the professional classification corresponding to the basic information of the first model.

The longitudinal area span of the second operation editing unit is equal to the sum of the longitudinal area span of the first operation display unit and the longitudinal area span of the second operation display unit. The longitudinal area span of the second operation editing unit, the longitudinal area span of the third operation editing unit, the longitudinal area span of the first operation display unit and the longitudinal area span of the second operation display unit are all larger than the longitudinal area span of the first operation editing unit.

The above-described search operation subunit and creation operation subunit are disposed in parallel in the lateral direction (horizontal direction), that is, the two subunits are disposed in parallel in the left and right areas of the first operation editing unit, respectively.

It should be noted that the first list display subunit is disposed above the second list display subunit and the list operation subunit. Further, the lateral area span of the first list presentation subunit is equal to the sum of the lateral area span of the second list presentation subunit and the lateral area span of the list handling subunit.

Therefore, the data processing method based on the standard model described by the embodiment of the invention is beneficial to improving the utilization efficiency and the model management efficiency of the standard model, further realizes one-place construction and unified management capacity of the standard model, ensures unified measurement and calculation of each system, and avoids the repeated construction problem of the standard model in each service system.

In an optional embodiment, the third operation editing unit includes a create editing operation subunit and a create selection operation subunit; the transverse area span and the longitudinal area span of the creation selection operation subunit are smaller than those of the creation editing operation subunit;

responding to the model construction operation of the user on the first operation interface to obtain the basic information of the target model, wherein the method comprises the following steps:

Detecting whether a model creation instruction generated when a user performs model creation operation in a creation operation subunit is received or not, and obtaining a model creation detection result;

when the model creation detection result is yes, loading and displaying a third operation editing unit; the third operation editing unit in a display state is positioned above the second operation editing unit;

Responding to the information editing operation of the user creating the editing operation subunit in the third operation editing unit to obtain first model creating information;

Detecting whether an information creation instruction generated when a user creates a selection operation subunit in a third operation editing unit to perform selection operation is received, and obtaining an information creation detection result;

Hiding the third operation editing unit;

When the information creation detection result is no, triggering and executing whether an information creation instruction generated when a user creates a selection operation subunit in the third operation editing unit to perform selection operation is received or not to obtain the information creation detection result by a time interval unit;

When the model creation detection result is negative, detecting whether an interface jump instruction generated by a user when the second operation editing unit performs the selection operation is received or not, and obtaining a jump instruction detection result;

When the jump instruction detection result is yes, triggering and executing the jump instruction based on the basic information of the target model and the standard model library to determine the parameter information of the target model;

and when the jump instruction detection result is NO, triggering and executing whether a model creation instruction generated by a user when the creation operation subunit performs model creation operation is received or not by two time interval units, so as to obtain a model creation detection result.

The transverse area span characterizes the length of the module or the unit or the area in the horizontal direction. The above-mentioned longitudinal zone spans characterize the length of the module or unit or zone in the plumb direction.

The above-described hidden third operation editing means does not display the third operation editing means at the front end of the interface, but is used as hidden data.

It should be noted that, the time interval unit may be set by a user, or may be determined according to a historical time interval, which is not limited by the embodiment of the present invention.

It should be noted that, the above-mentioned fusion processing of the system time information, the model serial number information and the first model creation information is to splice data according to the sequence of the model serial number information, the first model creation information and the system time information, so as to form a new data.

It should be noted that, the above model serial number information represents a serial number added on the basis of the existing first model basic information of the first operation interface, if the existing first model basic information needs to be serial number 1, serial number 2 and serial number 3, the model serial number information is serial number 4.

The system time information is the current system time, and includes time corresponding to each unit of year, month, day, time, minute, and second.

In another alternative embodiment, determining the target model parameter information based on the target model base information and the standard model library includes:

determining first model basic information corresponding to the interface jump instruction as model information to be processed;

Loading and displaying a second operation interface corresponding to the model information to be processed; each interface jump instruction corresponds to a first model base message;

Responding to the model setting operation of a user on the second operation interface, and obtaining first model parameter information corresponding to the model information to be processed;

When the detection result of the new instruction is yes, triggering and executing to determine that the first model basic information corresponding to the interface jump instruction is the model information to be processed;

When the detection result of the new instruction is NO, detecting whether a model export instruction is received or not to obtain a model export detection result;

When the model export result is yes, triggering and executing the target model based on the target model parameter information and the target model basic information to determine the target model document information;

And when the model export result is NO, triggering and executing detection to obtain a new instruction detection result by a time interval unit, wherein the execution detection is performed to judge whether a new interface jump instruction is received or not.

It should be noted that, the new interface jump instruction is generated when the user performs the selection operation by the second operation editing unit after the second operation interface completes the model setting operation, and the current interface jumps back to the first operation interface.

In yet another optional embodiment, the second operation interface includes an interface switching unit, an interface information display unit, a node editing unit, a model setting unit, and a parameter setting unit; the interface switching unit user displays an operation interface in an activated state; the interface information display unit is used for displaying the to-be-processed model information and the interface attribute information of the second operation interface; the node editing unit responds to the selection operation of the user on the model node; the model setting unit is used for responding to the editing operation of the model nodes in the node editing unit by a user; the parameter setting unit is used for responding to the parameter setting operation of the user on the model node;

The interface switching unit, the interface information display unit, the node editing unit and the model setting unit are aligned and arranged in the plumb direction along the left boundary;

It should be noted that the modules, units, and regions are each a rectangular section, which includes a left boundary, a right boundary, an upper boundary, and a lower boundary.

It should be noted that, the above-mentioned operation interface in the active state characterizes that the operation interface has been called by the user from the database and is stored in the buffer memory of the system.

It should be noted that, the interface attribute information may be a 'standard service measurement model list', and the flow information, which is not limited in the embodiment of the present invention.

In yet another optional embodiment, the obtaining, in response to a model setting operation of the user at the second operation interface, first model parameter information corresponding to the model information to be processed includes:

responding to the selection operation of the user on the model node in the node editing unit to obtain the target model node information; the target model node information comprises M target model nodes; m is a positive integer not less than 3; the node editing unit comprises N model nodes and 1 control node; n is a positive integer not less than 5;

responding to the connection setting of the user on the target model node information in the model setting unit to obtain model node connection relation information; the model node connection relation information comprises K model node connection relation pairs; k is a positive integer not less than M minus 1;

For any target model node, responding to the parameter setting operation of a user on the target model node in a parameter setting unit to obtain model basic parameter information corresponding to the target model node; the parameter setting unit comprises a parameter name display area and P parameter setting areas; the parameter name display area is used for displaying node names corresponding to the target model nodes; the parameter setting area is used for setting parameters of the target model node; the longitudinal area span of the parameter setting area is larger than the longitudinal area span corresponding to the parameter name display area; p is a positive integer not less than 1 and not more than 3;

detecting whether a parameter generation instruction generated by the selection operation of a user on a control node by a node editing unit is received or not, and obtaining a parameter generation detection result;

When the parameter generation detection result is yes, carrying out fusion processing on the target model node information, the model node connection relation information and the model basic parameter information to obtain first model parameter information corresponding to the model information to be processed;

And when the parameter generation detection result is NO, triggering and executing to detect whether a parameter generation instruction generated by the selection operation of the user on the control node by the node editing unit is received or not by two time interval units, so as to obtain the parameter generation detection result.

It should be noted that, the above-mentioned fusion processing of the target model node information, the model node connection relationship information and the model base parameter information may be performed based on a neural network model or other artificial intelligence models, which is not limited by the embodiment of the present invention.

The connection setting of the object model node information by the model setting unit is to connect two object model nodes in a directional manner, that is, to connect the output of one object model node to the input of the other object model node.

It should be noted that, the node names may be data nodes, computing nodes, and model operation nodes, which is not limited in the embodiment of the present invention.

It should be noted that, the parameter setting for the target model node includes parameter name, parameter type, parameter value, and parameter description, which are not limited in the embodiment of the present invention.

In an alternative embodiment, the model nodes include X first model nodes and Y second model nodes; y and M are both greater than X; each first model node has a unique corresponding target model node in the target model node information; each second model node has at least one corresponding target model node in the target model node information.

The above X is greater than 2.

It should be noted that, the second model node includes a data node, a computing node, and a model operation node, which is not limited in the embodiment of the present invention. Furthermore, the data node has the capability of acquiring data from a database, the computing node can set the computing logic of the data, wherein the computing node can set a common computing formula and write Aviator script files to set complex computing logic, and the model running node can integrate and call the established standard model in the newly created model.

In another alternative embodiment, determining the target model document information based on the target model parameter information and the target model base information includes:

detecting whether a model export instruction generated by a user when the list operation subunit performs selection operation is received or not, and obtaining a model export detection result;

when the model export detection result is yes, determining first model basic information corresponding to the model export instruction as target export model basic information;

Determining first model parameter information corresponding to the target derived model basic information as target derived model parameter information;

Fusion processing is carried out on the standard model information, the target derived model parameter information and the target derived model basic information to obtain target model document information;

and when the model export detection result is no, triggering and executing whether the execution detection receives a model export instruction generated by a user when the list operation subunit performs the selection operation or not by three time interval units, so as to obtain the model export detection result.

It should be noted that, the above model export instruction is generated when the user clicks the list operation subunit to select the model export button area, which is not limited in the embodiment of the present invention.

It should be noted that, the standard model database stores a plurality of standard models generated according to technical standards, such as fuel consumption calculation models generated according to the limit value standard of the fuel consumption of the passenger car.

The above-mentioned fusion processing of the standard model information, the target derived model parameter information, and the target derived model basic information is to integrate file program information such as a data file of the standard model, a model operation dependent file, the target derived model parameter information, and the target derived model basic information into one document to form the target model document information.

Example two

Referring to fig. 2, fig. 2 is a schematic structural diagram of a data processing apparatus based on a standard model according to an embodiment of the invention. The apparatus described in fig. 2 can be applied to a model management system, such as a local server or a cloud server for data processing management based on a standard model, and the embodiment of the invention is not limited. As shown in fig. 2, the apparatus may include:

The response module 201 is configured to respond to a model building operation of a user on the first operation interface, and obtain target model basic information; the target model basic information comprises a plurality of first model basic information; the first operation interface comprises a first operation editing unit, a second operation editing unit, a third operation editing unit, a first operation display unit and a second operation display unit; the first operation editing unit comprises a retrieval operation subunit and a creation operation subunit; the second operation editing unit comprises a first list display subunit, a second list display subunit and a list operation subunit;

a first determining module 202, configured to determine target model parameter information based on the target model basic information and the standard model library; the target model parameter information comprises a plurality of first model parameter information;

the second determining module 203 is configured to determine target model document information based on the target model parameter information and the target model basic information.

Therefore, the implementation of the data processing device based on the standard model described in fig. 2 is beneficial to improving the utilization efficiency and the model management efficiency of the standard model, so that the one-place construction and unified management capability of the standard model are realized, the measurement and calculation unification of each system are ensured, and the problem of repeated construction of the standard model in each service system is avoided.

In another alternative embodiment, as shown in fig. 2, the third operation editing unit includes a creation editing operation subunit and a creation selection operation subunit; the transverse area span and the longitudinal area span of the creation selection operation subunit are smaller than those of the creation editing operation subunit;

the response module 201 responds to the model building operation of the user on the first operation interface to obtain the basic information of the target model, which comprises the following steps:

Hiding the third operation editing unit;

In yet another alternative embodiment, as shown in fig. 2, the first determining module 202 determines the target model parameter information based on the target model base information and the standard model library, including:

In yet another alternative embodiment, as shown in fig. 2, the second operation interface includes an interface switching unit, an interface information display unit, a node editing unit, a model setting unit, and a parameter setting unit; the interface switching unit user displays an operation interface in an activated state; the interface information display unit is used for displaying the to-be-processed model information and the interface attribute information of the second operation interface; the node editing unit responds to the selection operation of the user on the model node; the model setting unit is used for responding to the editing operation of the model nodes in the node editing unit by a user; the parameter setting unit is used for responding to the parameter setting operation of the user on the model node;

In yet another alternative embodiment, as shown in fig. 2, the first determining module 202 obtains first model parameter information corresponding to the to-be-processed model information in response to a model setting operation of the user at the second operation interface, including:

In yet another alternative embodiment, as shown in FIG. 2, the model nodes include X first model nodes and Y second model nodes; y and M are both greater than X; each first model node has a unique corresponding target model node in the target model node information; each second model node has at least one corresponding target model node in the target model node information.

In yet another alternative embodiment, as shown in fig. 2, the second determining module 203 determines target model document information based on the target model parameter information and the target model base information, including:

Example III

Referring to fig. 3, fig. 3 is a schematic structural diagram of another data processing apparatus based on a standard model according to an embodiment of the present invention. The apparatus described in fig. 3 can be applied to a model management system, such as a local server or a cloud server for data processing management based on a standard model, which is not limited in the embodiments of the present invention. As shown in fig. 3, the apparatus may include:

a memory 301 storing executable program code;

A processor 302 coupled with the memory 301;

Processor 302 invokes executable program code stored in memory 301 for performing the steps in the standard model-based data processing method described in embodiment one.

Example IV

The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps in the data processing method based on the standard model described in the embodiment one.

Example five

The present invention discloses a computer program product comprising a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the standard model-based data processing method described in the embodiment.

The apparatus embodiments described above are merely illustrative, in which the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.

Finally, it should be noted that: the embodiment of the invention discloses a data processing method and device based on a standard model, which is only disclosed as a preferred embodiment of the invention, and is only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. A data processing method based on a standard model, the method comprising:

The determining the target model parameter information based on the target model basic information and the standard model library comprises the following steps:

when the model export result is NO, triggering and executing whether the detection receives a new interface jump instruction or not by a time interval unit to obtain a new instruction detection result;

2. The standard model-based data processing method according to claim 1, wherein the third operation editing unit includes a creation editing operation subunit and a creation selection operation subunit; the transverse area span and the longitudinal area span of the creation and selection operation subunit are smaller than those of the creation and editing operation subunit;

hiding the third operation editing unit;

3. The data processing method based on the standard model according to claim 1, wherein the second operation interface comprises an interface switching unit, an interface information display unit, a node editing unit, a model setting unit, and a parameter setting unit; the interface switching unit user displays an operation interface in an activated state; the interface information display unit is used for displaying the to-be-processed model information and the interface attribute information of the second operation interface; the node editing unit user responds to the selection operation of the user on the model node; the model setting unit is used for responding to the editing operation of the model node in the node editing unit by the user; the parameter setting unit is used for responding to the parameter setting operation of the user on the model node;

4. The method for standard model-based data processing according to claim 3, wherein the obtaining the first model parameter information corresponding to the model information to be processed in response to the model setting operation of the user at the second operation interface includes:

5. The standard model-based data processing method according to claim 4, wherein the model nodes include X first model nodes and Y second model nodes; said Y and said M are both greater than said X; each first model node has a unique corresponding target model node in the target model node information; each second model node has at least one corresponding target model node in the target model node information.

6. The method for standard model-based data processing according to claim 1, wherein the determining target model document information based on the target model parameter information and the target model base information comprises:

7. A data processing apparatus based on a standard model, the apparatus comprising:

8. A data processing apparatus based on a standard model, the apparatus comprising:

a memory storing executable program code;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to perform the standard model-based data processing method of any one of claims 1-6.

9. A computer readable storage medium storing computer instructions which, when invoked, are adapted to perform the standard model-based data processing method according to any one of claims 1-6.