CN116466921A - Data center OA management system construction method, device, equipment and storage medium - Google Patents
Data center OA management system construction method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for constructing a data center OA management system, wherein the method for constructing the data center OA management system comprises the following steps: obtaining target demand information and a function module library, wherein the function module library comprises modules of all functions, and a plurality of modules are mapped to all functions; determining a system construction scheme based on the target demand information; and selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module. The method and the system for building the OA management system belong to the technical field of office systems, a system building scheme is obtained through analyzing target demand information of users, corresponding function modules are selected from a function module library to build the target system, and users do not need to conduct secondary development, so that the development efficiency of the OA management system is improved.
Description
Technical Field
The present application relates to the field of office systems, and in particular, to a method, an apparatus, a device, and a storage medium for constructing an OA management system of a data center.
Background
The similar OA management systems in the market at present are many, active and self-developed, but the functions of each system are complicated and different, and at the same time, the enterprise has over 2000+ IDC (International data) enterprises in all countries, and the enterprise culture, the business flow and the product characteristics of each enterprise are different, so that the OA management system cannot be compatible and universal, the practical use is poor in adaptability, a large amount of research and development force is required to be input for secondary development, and the development efficiency of the OA management system is low.
Disclosure of Invention
The main purpose of the present application is to provide a method, apparatus, device and storage medium for constructing an OA management system of a data center, so as to solve the technical problem of low development efficiency of the OA management system in the prior art.
In order to achieve the above object, the present application provides a method for constructing a data center OA management system, the method for constructing a data center OA management system includes:
obtaining target demand information and a function module library, wherein the function module library comprises modules of all functions, and a plurality of modules are mapped to all functions;
determining a system construction scheme based on the target demand information;
and selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
Optionally, the step of obtaining the function module library includes:
acquiring a functional module and functional information, wherein the functional module at least comprises two functional modules;
establishing the mapping between the function information and the function module to obtain mapping information;
and establishing a function module library based on the function module and the mapping information.
Optionally, the step of determining a system construction scheme based on the target requirement information includes:
inputting the target demand information into a preset scheme construction model, and carrying out demand analysis on the target demand information based on the scheme construction model to obtain a system construction scheme;
the scheme building model is based on a functional requirement sample and a system building scheme label of the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme building model meeting the precision condition.
Optionally, the inputting the target demand information into a preset scheme building model, and performing demand analysis on the target demand information based on the scheme building model, so as to obtain a system building scheme, where before the step of obtaining the system building scheme, the method includes:
acquiring a function requirement sample and a system construction scheme label of the function requirement sample;
And carrying out iterative training on a preset model to be trained based on the functional requirement sample and the system construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the accuracy condition.
Optionally, the step of performing iterative training on the preset model to be trained to obtain the solution building model with the precision condition based on the function requirement sample and the system building solution label of the function requirement sample includes:
inputting the functional demand sample into a preset model to be trained to obtain an initial prediction system construction scheme;
determining a module fitness evaluation of the initial prediction system construction scheme;
determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme;
performing difference calculation on the target prediction system construction scheme and the system construction scheme label of the functional requirement sample to obtain an error result;
based on the error result, judging whether the error result meets an error standard indicated by a preset error threshold range;
and if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme and module adaptation degree evaluation of the initial prediction system construction scheme, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain a scheme construction model meeting the accuracy condition.
Optionally, the step of determining a module fitness evaluation of the initial prediction system construction scheme includes:
determining a functional module in the initial predictive system build plan;
determining connection information and overall system information between the functional modules;
respectively carrying out adaptation degree evaluation on the connection information between the functional modules and the overall system information to obtain connection module adaptation degree evaluation and overall system adaptation degree evaluation;
and calculating to obtain the module fitness evaluation of the initial prediction system construction scheme based on the connection module fitness evaluation and the overall system fitness evaluation.
Optionally, the step of determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme includes:
judging whether the module fitness evaluation is larger than or equal to a preset fitness evaluation threshold value;
and if the module fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction system construction scheme as a target prediction system construction scheme.
The application also provides a device for constructing the data center OA management system, which comprises:
The system comprises an acquisition module, a function module library and a control module, wherein the acquisition module is used for acquiring target demand information and the function module library, the function module library comprises modules with various functions, and the various functions are mapped with a plurality of modules;
the determining module is used for determining a system construction scheme based on the target demand information;
and the construction module is used for selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
The application also provides a construction device of the data center OA management system, which comprises: a memory, a processor, and a program stored on the memory for implementing a construction method of the data center OA management system,
the memory is used for storing a program for realizing a construction method of the OA management system of the data center;
the processor is configured to execute a program for implementing a method for constructing the data center OA management system, so as to implement steps of the method for constructing the data center OA management system.
The present application also provides a storage medium having stored thereon a program for implementing a construction method of a data center OA management system, the program for implementing a construction method of a data center OA management system being executed by a processor to implement steps of the construction method of a data center OA management system.
The construction method, the device, the equipment and the storage medium of the OA management system of the data center are poor in adaptability in practical use as compared with the conventional OA management system in the prior art, a large amount of research and development force is needed to carry out secondary development, and therefore the development efficiency of the OA management system is low, in the method, the device, the equipment and the storage medium, target demand information and a function module library are obtained, wherein the function module library comprises modules with various functions, and the functions are mapped with a plurality of modules; determining a system construction scheme based on the target demand information; and selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module. In the method, the system construction scheme is obtained by analyzing the target demand information of the user, and the target system is obtained by selecting the corresponding function module from the function module library, so that the user does not need to conduct secondary development, and the development efficiency of the OA management system is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a device architecture of a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a flowchart of a first embodiment of a method for constructing an OA management system of a data center of the present application;
FIG. 3 is a block diagram of a device for constructing an OA management system of a data center of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present application.
The terminal in the embodiment of the application may be a PC, or may be a mobile terminal device with a display function, such as a smart phone, a tablet computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III, dynamic image expert compression standard audio layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image expert compression standard audio layer 4) player, a portable computer, or the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the terminal may also include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and so on. Among other sensors, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal moves to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and the direction when the mobile terminal is stationary, and the mobile terminal can be used for recognizing the gesture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and the like, which are not described herein.
It will be appreciated by those skilled in the art that the terminal structure shown in fig. 1 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating device, a network communication module, a user interface module, and a program for constructing a data center OA management system may be included in a memory 1005 as one type of computer storage medium.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and processor 1001 may be used to invoke a build program of the data center OA management system stored in memory 1005.
Referring to fig. 2, an embodiment of the present application provides a method for constructing a data center OA management system, where the method for constructing a data center OA management system includes:
step S100, obtaining target demand information and a function module library, wherein the function module library comprises modules with various functions, and the various functions are mapped with a plurality of modules;
step S200, determining a system construction scheme based on the target demand information;
step S300, selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
In this embodiment, the application scenario aimed at is:
as one example, a scenario of the construction of a data center OA management system may be that an enterprise builds an enterprise's own office OA system. The similar OA management systems in the market at present are many, active and self-developed, but the functions of each system are complicated and different, and at the same time, the enterprise has over 2000+ IDC (International data) enterprises in all countries, and the enterprise culture, the business flow and the product characteristics of each enterprise are different, so that the OA management system cannot be compatible and universal, the practical use is poor in adaptability, a large amount of research and development force is required to be input for secondary development, and the development efficiency of the OA management system is low. In view of this scenario, the method for constructing the OA management system of the data center of the present embodiment selects a corresponding function module from the function module library to construct a target system by analyzing the target demand information of the user, so that the user does not need to perform secondary development, thereby improving the development efficiency of the OA management system.
As an example, the application scenario of the construction of the OA management system of the data center is not limited to the above-mentioned link of constructing the office OA system of the enterprise itself, but also includes a scenario of constructing various systems.
The present embodiment aims at: the development efficiency of the OA management system is improved.
In this embodiment, the construction method of the data center OA management system is applied to the construction apparatus of the data center OA management system.
The method comprises the following specific steps:
step S100, obtaining target demand information and a function module library, wherein the function module library comprises modules with various functions, and the various functions are mapped with a plurality of modules;
in this embodiment, the target requirement information is requirement information of a user/enterprise own OA system, including function requirement information, target requirement information, and corresponding requirement information, where the function requirement information is information of a requirement for a certain function, for example, calculating a function requirement of weekly financial accounting; the target requirement information is requirement information aiming at a certain target, for example, target requirement for realizing OA communication of staff; the requirement information is a further requirement for the functional requirement as well as the target requirement, for example, the user/client requires the functional module to be able to process a large amount of data on the basis of providing the functional requirement for calculating weekly property reports, and the functional module to be able to process a large amount of data is required.
In this embodiment, the function module library includes modules with various functions, where each function is mapped to a plurality of modules, that is, the whole set of system is modularized, each function is refined to N small modules, the N small modules are stored in the function module library, and a customer can build with different modules according to actual function requirements, so as to achieve the effects of building a shortcut, diversification and customization of the OA system, including, but not limited to, a financial report computing (function) module, an employee communication (function) module, a flow node checking (function) module, a training data storage and checking (function) module, and it is required to be explained that each function module has N small modules, for example, the flow node checking (function) module has a flow node checking a module, the flow node checking B module … … has a flow node checking N module, and each small function module can implement a corresponding function, but if the target requirement information includes a flow node checking function, the device can select the most suitable (most suitable) from the N node checking modules according to the requirements and/or requirements of users/enterprises.
Specifically, the step S100 includes the following steps S110 to S130:
step S110, a functional module and functional information are acquired, wherein the functional module at least comprises two functional modules;
in this embodiment, the device acquires function modules and function information, where the function modules include at least two function modules, for example, the function information is a property report calculation function, and the function modules are a property report calculation N1 module and a property report calculation N2 module, and it should be noted that each function module has different system compatibility and calculation capability.
Step S120, establishing the mapping between the function information and the function module to obtain mapping information;
in this embodiment, the device establishes a mapping between the function information and the function module to obtain mapping information, for example, the function information is a property report calculation function, the function module is a property report calculation N1 module and a property report calculation N2 module, and the device establishes a mapping between the property report calculation function and the property report calculation N1 module and the property report calculation N2 module.
And step S130, a function module library is established based on the function modules and the mapping information.
In this embodiment, the apparatus establishes a function module library based on the function module and the mapping information.
Step S200, determining a system construction scheme based on the target demand information;
in this embodiment, the device determines a system construction scheme based on the target demand information, where the system construction scheme is a scheme indicating a composition of modules, for example, a system construction scheme of company a is a financial report function module A1 and a leave approval process module B3.
In this embodiment, the means for determining, based on the service requirement information, a traffic monitoring scheme includes: under complex target demand information, matching the target demand information according to a pre-trained deep network learning model to obtain a corresponding system construction scheme; under simple demand information, a system construction scheme can be determined according to the mapping of the specified modules in the target demand information, for example, the target demand information comprises a property report calculation function and a requirement for processing a large amount of data, a function module library comprises a property report calculation N1 module and a property report calculation N2 module, wherein the property report calculation N1 module and the property report calculation N2 module have data processing capacity labels, the data processing capacity value of the property report calculation N1 module is larger than that of the property report calculation N2 module, and the device is more biased to select the property report calculation N1 module as the property report calculation module under the property report calculation function corresponding to the target demand information.
Specifically, the step S200 includes the following step S210:
step S210, inputting the target demand information into a preset scheme construction model, and carrying out demand analysis on the target demand information based on the scheme construction model to obtain a system construction scheme;
the scheme building model is based on a functional requirement sample and a system building scheme label of the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme building model meeting the precision condition.
In this embodiment, the solution building model is a pre-trained deep network learning model, and the model is a system building solution label based on a functional requirement sample and the functional requirement sample, and performs iterative training on a preset model to be trained to obtain a solution building model with a precision condition, so that accuracy of determining an OA system building solution is improved.
In this embodiment, the function requirement sample is information of functions required when the enterprise builds the OA system, and the system building scheme label of the function requirement sample is a system building scheme used according to the corresponding function requirement.
In the step S210, the target demand information is input to a preset solution building model, and based on the solution building model, the demand analysis is performed on the target demand information, so as to obtain a system building solution, and before the step of obtaining a system building solution, the method includes the following steps S211-S212:
Step S211, acquiring a function requirement sample and a system construction scheme label of the function requirement sample;
in this embodiment, the function requirement sample is information of functions required when the enterprise builds the OA system, and the system building scheme label of the function requirement sample is a system building scheme used according to the corresponding function requirement.
Step S212, performing iterative training on a preset model to be trained based on the functional requirement sample and a system construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the precision condition.
In this embodiment, the device performs iterative training on a preset model to be trained based on the functional requirement sample and a system construction scheme label of the functional requirement sample to obtain a scheme construction model with a precision condition, where the model to be trained is a preset initial model with a basic processing functional requirement sample, and predicts a system construction scheme, and only has a difference in precision compared with the scheme construction model.
Step S300, selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
In this embodiment, the device selects a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructs a target system based on the target function module, that is, the whole set of OA system adopts modularization, each function is thinned into a plurality of small modules, and the user builds with different modules according to the actual target function requirement, so that the user does not need to perform secondary development, thereby improving the development efficiency of the OA management system.
The construction method of the OA management system of the data center is incompatible and general with the OA management system in the related art, the practical use is poor in adaptability, a large amount of research and development force is needed to be input for secondary development, and therefore the development efficiency of the OA management system is low. Determining a system construction scheme based on the target demand information; and selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module. In the method, the system construction scheme is obtained by analyzing the target demand information of the user, and the target system is obtained by selecting the corresponding function module from the function module library, so that the user does not need to conduct secondary development, and the development efficiency of the OA management system is improved.
Based on the first embodiment, the present application further provides another embodiment, and the method for constructing the OA management system of the data center includes:
the step S212 comprises the following steps of A100-A600:
step A100, inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme;
in this embodiment, the device inputs the functional requirement sample to a preset model to be trained to obtain an initial prediction system construction scheme, where the model to be trained is a preset model with a basic processing functional requirement sample, and the prediction system construction scheme is an initial model, and the predicted flow monitoring scheme is a flow monitoring scheme result of predicting historical service information by the model to be trained.
Step A200, determining module fitness evaluation of the initial prediction system construction scheme;
in this embodiment, the system construction scheme is a scheme including combination information of various functional modules, where the module adaptation degree between the various functional modules is obtained according to expert experience or test combination data, for example, the adaptation degree evaluation is 0-1, the adaptation degree of the module A1 and the module B2 is 0.4, and the adaptation degree of the module A1 and the module B1 is 0.5.
Specifically, the step A200 includes the following steps A210-A240:
step A210, determining a functional module in the initial prediction system construction scheme;
in this embodiment, the apparatus determines a functional module in the initial prediction system construction scheme, for example, the initial prediction system construction scheme includes modules A1, B2, and C1, and the functional module is the modules A1, B2, and C1.
Step A220, determining connection information and overall system information between the functional modules;
in this embodiment, the device determines connection information between the functional modules and overall system information, for example, the initial prediction system construction scheme includes modules A1, B2, and C1, where A1 is connected to B1, B1 is connected to C1, connection information between the functional modules is A1 to B1, B1 is connected to C1, and overall system information is A1, B2, and C1.
Step A230, respectively carrying out adaptation degree evaluation on the connection information between the functional modules and the overall system information to obtain connection module adaptation degree evaluation and overall system adaptation degree evaluation;
in this embodiment, the device performs the adaptation degree evaluation on the connection information between the functional modules and the overall system information to obtain the connection module adaptation degree evaluation and the overall system adaptation degree evaluation, for example, the initial prediction system construction scheme includes that modules A1, B2, C1, A1 are connected with B1, the connection module adaptation degree evaluation is 0.3, B1 is connected with C1, the connection module adaptation degree evaluation is 0.4, and the overall system adaptation degree evaluation of the connection of A1, B2, C1 is 0.7.
And step A240, calculating the module fitness evaluation of the initial prediction system construction scheme based on the connection module fitness evaluation and the overall system fitness evaluation.
In this embodiment, the device calculates, based on the connection module fitness evaluation and the overall system fitness evaluation, a module fitness evaluation of the initial prediction system construction scheme, for example, the initial prediction system construction scheme includes modules A1, B2, C1, A1 connected with B1, the connection module fitness evaluation is 0.3, B1 connected with C1, the connection module fitness evaluation is 0.4, and the overall system fitness evaluation of A1, B2, C1 connection is 0.7, and then the module fitness evaluation of the initial prediction system construction scheme is that the three are added to be 1.4.
Step A300, determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme;
in this embodiment, the apparatus determines a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme.
Specifically, the step A300 includes the following steps A310-A330:
step A310, judging whether the module fitness evaluation is larger than or equal to a preset fitness evaluation threshold value;
In this embodiment, the device determines whether the module fitness evaluation is greater than or equal to a preset fitness evaluation threshold, for example, the module fitness evaluation of the initial prediction system construction scheme is 1.4, and the preset fitness evaluation threshold is 1.5, where the module fitness evaluation is less than the preset fitness evaluation threshold.
And step A320, if the module fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction system construction scheme as a target prediction system construction scheme.
In this embodiment, if the module fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction system construction scheme as a target prediction system construction scheme.
And step A330, if the module fitness evaluation is smaller than the fitness evaluation threshold, returning to the step of inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme and the module fitness evaluation of the initial prediction system construction scheme until the module fitness evaluation is larger than or equal to the fitness evaluation threshold, and determining the current initial prediction system construction scheme as a target prediction system construction scheme.
Step A400, performing difference calculation on the target prediction system construction scheme and the system construction scheme label of the functional requirement sample to obtain an error result;
in this embodiment, the device performs difference calculation on the target prediction system construction scheme and the system construction scheme label of the functional requirement sample to obtain an error result, where the method may also obtain the error result through loss function convergence.
Step A500, judging whether the error result meets an error standard indicated by a preset error threshold range or not based on the error result;
in this embodiment, the apparatus determines, based on the error result, whether the error result meets an error criterion indicated by a preset error threshold range, where the preset error threshold includes a preset mean square error threshold, and as known by those skilled in the art, the smaller the mean square error threshold, the more accurate the representation model, and the determining whether the training error result meets the error criterion indicated by the preset error threshold includes: and judging whether the mean square error result is smaller than a preset mean square error threshold value.
And step A600, if the error result does not meet the error standard indicated by the preset error threshold range, returning to input the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme and a module adaptation degree evaluation step of the initial prediction system construction scheme, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain a scheme construction model meeting the accuracy condition.
In this embodiment, if the error result does not meet the error standard indicated by the preset error threshold range, the step of inputting the functional requirement sample to a preset model to be trained to obtain an initial prediction system construction scheme and a module adaptation degree evaluation of the initial prediction system construction scheme is returned until the training error result meets the error standard indicated by the preset error threshold range, and then training is stopped to obtain a scheme construction model meeting the precision condition, that is, in this embodiment, the model to be trained is converged through iterative training until the training error result meets the error standard indicated by the preset error threshold range, and iterative training is completed.
The application also provides a device for constructing the data center OA management system, which comprises:
an obtaining module 10, configured to obtain target demand information and a function module library, where the function module library includes modules of each function, and each function is mapped with a plurality of modules;
a determining module 20, configured to determine a system construction scheme based on the target demand information;
and the construction module 30 is configured to select a corresponding mapped target function module from a preset function module library based on the system construction scheme, and construct a target system based on the target function module.
Optionally, the acquiring module 10 includes:
the module acquisition module is used for acquiring a functional module and functional information, wherein the functional module at least comprises two modules;
the mapping establishment module is used for establishing the mapping between the functional information and the functional module to obtain mapping information;
and the module library building module is used for building a function module library based on the function module and the mapping information.
Optionally, the determining module 20 includes:
the demand analysis module is used for inputting the target demand information into a preset scheme construction model, and carrying out demand analysis on the target demand information based on the scheme construction model to obtain a system construction scheme;
the scheme building model is based on a functional requirement sample and a system building scheme label of the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme building model meeting the precision condition.
Optionally, the construction device of the OA management system of the data center further includes:
the system comprises a sample acquisition module, a function requirement sample and a system construction scheme label of the function requirement sample, wherein the sample acquisition module is used for acquiring the function requirement sample and the system construction scheme label of the function requirement sample;
and the training module is used for carrying out iterative training on a preset model to be trained based on the functional requirement sample and the system construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the precision condition.
Optionally, the training module includes:
the initial prediction scheme determining module is used for inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme;
the adaptation degree evaluation module is used for determining module adaptation degree evaluation of the initial prediction system construction scheme;
the target prediction scheme determining module is used for determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme;
the difference calculation module is used for carrying out difference calculation on the target prediction system construction scheme and the system construction scheme label of the functional requirement sample to obtain an error result;
the error judging module is used for judging whether the error result meets an error standard indicated by a preset error threshold range or not based on the error result;
and the iterative training module is used for returning to input the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme and a module adaptation degree evaluation step of the initial prediction system construction scheme if the error result does not meet the error standard indicated by the preset error threshold range, and stopping training until the training error result meets the error standard indicated by the preset error threshold range, so as to obtain the scheme construction model meeting the precision condition.
Optionally, the fitness evaluation module includes:
the function module determining module is used for determining a function module in the initial prediction system construction scheme;
the information determining module is used for determining connection information and overall system information among the functional modules;
the partial and whole evaluation modules are used for respectively evaluating the adaptation degree of the connection information between the functional modules and the whole system information to obtain the adaptation degree evaluation of the connection module and the whole system adaptation degree evaluation;
and the adaptation degree evaluation calculation module is used for calculating the module adaptation degree evaluation of the initial prediction system construction scheme based on the connection module adaptation degree evaluation and the overall system adaptation degree evaluation.
Optionally, the target prediction scheme determining module includes:
the evaluation judging module is used for judging whether the module fitness evaluation is larger than or equal to a preset fitness evaluation threshold value;
and the target prediction system construction scheme determining module is used for determining the current initial prediction system construction scheme as a target prediction system construction scheme if the module fitness evaluation is greater than or equal to the fitness evaluation threshold.
The specific implementation manner of the construction device of the data center OA management system is basically the same as the above embodiments of the construction method of the data center OA management system, and will not be described herein.
Referring to fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present application.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the building equipment of the data center OA management system may further include a rectangular user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. The rectangular user interface may include a Display screen (Display), an input sub-module such as a Keyboard (Keyboard), and the optional rectangular user interface may also include a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the construction equipment structure of the data center OA management system shown in fig. 1 does not constitute a limitation on the construction equipment of the data center OA management system, and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, a storage 1005, which is a storage medium, may include therein an operating system, a network communication module, and a build program of a data center OA management system. The operating system is a program that manages and controls the build equipment hardware and software resources of the data center OA management system, supporting the build program of the data center OA management system and the execution of other software and/or programs. The network communication module is used to implement communication between components within the memory 1005 and other hardware and software in the build system of the data center OA management system.
In the construction apparatus of the data center OA management system shown in fig. 1, the processor 1001 is configured to execute a construction program of the data center OA management system stored in the memory 1005, and implement the steps of the construction method of the data center OA management system described above.
The specific implementation manner of the construction equipment of the data center OA management system is basically the same as the above embodiments of the construction method of the data center OA management system, and will not be described herein.
The present application also provides a storage medium having stored thereon a program that implements the construction method of the data center OA management system, the program that implements the construction method of the data center OA management system being executed by a processor to implement the construction method of the data center OA management system as follows:
obtaining target demand information and a function module library, wherein the function module library comprises modules of all functions, and a plurality of modules are mapped to all functions;
determining a system construction scheme based on the target demand information;
and selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
Optionally, the step of obtaining the function module library includes:
acquiring a functional module and functional information, wherein the functional module at least comprises two functional modules;
establishing the mapping between the function information and the function module to obtain mapping information;
And establishing a function module library based on the function module and the mapping information.
Optionally, the step of determining a system construction scheme based on the target requirement information includes:
inputting the target demand information into a preset scheme construction model, and carrying out demand analysis on the target demand information based on the scheme construction model to obtain a system construction scheme;
the scheme building model is based on a functional requirement sample and a system building scheme label of the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme building model meeting the precision condition.
Optionally, the inputting the target demand information into a preset scheme building model, and performing demand analysis on the target demand information based on the scheme building model, so as to obtain a system building scheme, where before the step of obtaining the system building scheme, the method includes:
acquiring a function requirement sample and a system construction scheme label of the function requirement sample;
and carrying out iterative training on a preset model to be trained based on the functional requirement sample and the system construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the accuracy condition.
Optionally, the step of performing iterative training on the preset model to be trained to obtain the solution building model with the precision condition based on the function requirement sample and the system building solution label of the function requirement sample includes:
inputting the functional demand sample into a preset model to be trained to obtain an initial prediction system construction scheme;
determining a module fitness evaluation of the initial prediction system construction scheme;
determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme;
performing difference calculation on the target prediction system construction scheme and the system construction scheme label of the functional requirement sample to obtain an error result;
based on the error result, judging whether the error result meets an error standard indicated by a preset error threshold range;
and if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme and module adaptation degree evaluation of the initial prediction system construction scheme, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain a scheme construction model meeting the accuracy condition.
Optionally, the step of determining a module fitness evaluation of the initial prediction system construction scheme includes:
determining a functional module in the initial predictive system build plan;
determining connection information and overall system information between the functional modules;
respectively carrying out adaptation degree evaluation on the connection information between the functional modules and the overall system information to obtain connection module adaptation degree evaluation and overall system adaptation degree evaluation;
and calculating to obtain the module fitness evaluation of the initial prediction system construction scheme based on the connection module fitness evaluation and the overall system fitness evaluation.
Optionally, the step of determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme includes:
judging whether the module fitness evaluation is larger than or equal to a preset fitness evaluation threshold value;
and if the module fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction system construction scheme as a target prediction system construction scheme.
The specific implementation manner of the storage medium is basically the same as the above embodiments of the method for constructing the OA management system of the data center, and will not be described herein again.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method of constructing a data center OA management system described above.
The specific implementation manner of the computer program product of the present application is substantially the same as the above embodiments of the method for constructing the OA management system of the data center, and will not be described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (10)
1. The construction method of the data center OA management system is characterized by comprising the following steps:
obtaining target demand information and a function module library, wherein the function module library comprises modules of all functions, and a plurality of modules are mapped to all functions;
determining a system construction scheme based on the target demand information;
and selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
2. A method for constructing a data center OA management system in accordance with claim 1, wherein said step of obtaining a library of function modules comprises:
acquiring a functional module and functional information, wherein the functional module at least comprises two functional modules;
establishing the mapping between the function information and the function module to obtain mapping information;
And establishing a function module library based on the function module and the mapping information.
3. A method of constructing a data center OA management system of claim 1, wherein said determining a system construction scheme based on said target demand information comprises:
inputting the target demand information into a preset scheme construction model, and carrying out demand analysis on the target demand information based on the scheme construction model to obtain a system construction scheme;
the scheme building model is based on a functional requirement sample and a system building scheme label of the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme building model meeting the precision condition.
4. A method for constructing a data center OA management system according to claim 3, wherein said inputting said target demand information into a preset plan construction model, and performing demand analysis on said target demand information based on said plan construction model, and before the step of obtaining a system construction plan, said method comprises:
acquiring a function requirement sample and a system construction scheme label of the function requirement sample;
And carrying out iterative training on a preset model to be trained based on the functional requirement sample and the system construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the accuracy condition.
5. A method for constructing a data center OA management system according to claim 4, wherein the step of iteratively training a preset model to be trained based on the functional requirement sample and a system construction scheme label of the functional requirement sample to obtain a scheme construction model satisfying a precision condition includes:
inputting the functional demand sample into a preset model to be trained to obtain an initial prediction system construction scheme;
determining a module fitness evaluation of the initial prediction system construction scheme;
determining a target prediction system construction scheme based on the module fitness evaluation and the initial prediction system construction scheme;
performing difference calculation on the target prediction system construction scheme and the system construction scheme label of the functional requirement sample to obtain an error result;
based on the error result, judging whether the error result meets an error standard indicated by a preset error threshold range;
And if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction system construction scheme and module adaptation degree evaluation of the initial prediction system construction scheme, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain a scheme construction model meeting the accuracy condition.
6. A method of constructing a data center OA management system in accordance with claim 5 wherein said step of determining a module fitness rating for said initial predictive system construction plan comprises:
determining a functional module in the initial predictive system build plan;
determining connection information and overall system information between the functional modules;
respectively carrying out adaptation degree evaluation on the connection information between the functional modules and the overall system information to obtain connection module adaptation degree evaluation and overall system adaptation degree evaluation;
and calculating to obtain the module fitness evaluation of the initial prediction system construction scheme based on the connection module fitness evaluation and the overall system fitness evaluation.
7. A method of constructing a data center OA management system in accordance with claim 5 wherein said step of determining a target predictive system construction plan based upon said module fitness evaluation and said initial predictive system construction plan comprises:
judging whether the module fitness evaluation is larger than or equal to a preset fitness evaluation threshold value;
and if the module fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction system construction scheme as a target prediction system construction scheme.
8. A data center OA management system constructing apparatus, comprising:
the system comprises an acquisition module, a function module library and a control module, wherein the acquisition module is used for acquiring target demand information and the function module library, the function module library comprises modules with various functions, and the various functions are mapped with a plurality of modules;
the determining module is used for determining a system construction scheme based on the target demand information;
and the construction module is used for selecting a corresponding mapped target function module from a preset function module library based on the system construction scheme, and constructing a target system based on the target function module.
9. A construction apparatus of a data center OA management system, characterized in that the construction apparatus of the data center OA management system includes: a memory, a processor, and a program stored on the memory for implementing a construction method of the data center OA management system,
the memory is used for storing a program for realizing a construction method of the OA management system of the data center;
the processor is configured to execute a program for implementing a construction method of the data center OA management system to implement the steps of the construction method of the data center OA management system as recited in any one of claims 1 to 7.
10. A storage medium having stored thereon a program for realizing the construction method of the data center OA management system, the program for realizing the construction method of the data center OA management system being executed by a processor to realize the steps of the construction method of the data center OA management system as recited in any one of claims 1 to 7.
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Denomination of invention: Construction method, device, equipment, and storage medium for data center OA management system Granted publication date: 20240719 Pledgee: Hangzhou United Rural Commercial Bank Co.,Ltd. Xihu District sub branch Pledgor: Hangzhou yunzhimeng Technology Co.,Ltd. Registration number: Y2024980032724 |