CN111897528A - Low-code platform for enterprise online education - Google Patents
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Abstract
The invention provides a low-code platform for enterprise online education, which comprises: creating a target application related to user requirements of a target user; creating a target page set related to the target application based on the page design area of the target application; based on the component area, acquiring a dragging component related to the user requirement; analyzing the user requirements to obtain a plurality of analysis items, automatically binding each analysis item and the corresponding dragging component based on the assembled database, and dragging the analysis items to the layout area of the corresponding target page; acquiring the item attribute of each analysis item, acquiring optimization parameters from an optimization database according to the item attribute, and optimizing the corresponding layout area and the target page; and acquiring all the target pages after the optimization processing to form a service system. Based on the customer requirements and depending on the service building and aggregation capability, the personalized construction is carried out, the building by the user is facilitated, and the user experience effect is improved conveniently.
Description
Technical Field
The invention relates to the technical field of education industry, in particular to a low-code platform for enterprise online education.
Background
In recent years, with the rapid development of the technology level of the software industry, many enterprises have realized the digital online capability, more and more enterprises rely on software platforms to perform intelligent management on companies, wherein the software platforms of the education industry are also rapidly developed, on the platforms, various knowledge systems are moved online and provided for users to learn through documents, videos, audios and other modes, and the education forms become more diversified. With the development of software, online platforms become more and more complex, and because different enterprises and schools have different requirements, platform providers are born in order to meet more personalized and customized customer requirements more conveniently when facing so many industrial customers.
On the platform, a customer can use the capability provided by the platform to set up a software platform system of the customer according to the demand of the customer, wherein the software platform system comprises a function bearing page designed according to the demand, a service data model required by the page, a form for designing presentation data, a circulation flow of the design service, a summary statistical report form of the design service data and the like.
Disclosure of Invention
The invention provides a low-code platform for enterprise online education, which is used for carrying out personalized construction based on customer requirements and depending on service construction and aggregation capability, is convenient for users to construct and is convenient for improving user experience effects.
The invention provides a low-code platform for enterprise online education, which comprises:
creating a target application related to user requirements of a target user;
creating a target page set related to the target application based on the page design area of the target application;
based on the component area, acquiring a dragging component related to the user requirement;
analyzing the user requirements to obtain a plurality of analysis items, automatically binding each analysis item and the corresponding dragging component based on the assembled database, and dragging the bound dragging component to the layout area of the corresponding target page in the target page set according to the binding result;
acquiring the item attribute of each analysis item, acquiring optimization parameters from an optimization database according to the item attribute, and optimizing the corresponding layout area and the target page;
and acquiring all the target pages after the optimization processing to form a service system.
In one possible implementation, the step of creating a target application associated with the user requirements of the target user comprises: receiving a target account number input by the target user based on a login interface of a platform management system, verifying, and when the target account number is verified to be qualified, authorizing successfully;
after the target account is successfully authorized, calling an application management function according to the platform management system, and creating a target application according to the user requirement of the target user;
wherein after the target application is created, the method further comprises:
according to the user requirements, automatically matching basic information, application names and a matchable platform of the target application;
and matching the current business data model of the target application, and importing business data into the target application.
In one possible implementation, the step of creating a target page set related to the target application based on the page design area of the target application includes: establishing a first target page set according to the user requirements of the target user, receiving a page establishing instruction input by the target user, and establishing a plurality of target pages to form a second target page set;
fusing the first target page set and the second target page set to obtain a page set to be adjusted;
automatically matching page names, page titles, page keywords and page attributes related to page description for each target page in the page set to be adjusted based on a page database, and adjusting the page attributes to obtain a target page set;
each target page in the target page set is compatible with different target terminals, and rendering schemes of the target pages corresponding to the different target terminals are different.
In a possible implementation manner, in the process of dragging the bound dragging component into the layout area of the corresponding target page in the target page set, the method further includes:
automatically dragging the corresponding dragging component to the layout area of the corresponding target page based on the binding result;
sequentially carrying out one-to-many comparative analysis on all dragging assemblies existing in the layout area;
according to the analysis result, first assemblies in all dragging assemblies in the layout area are removed, and meanwhile assembly positioning points of the first assemblies in the layout area are obtained;
acquiring a second assembly in a preset space where the assembly positioning point is located, and acquiring assembly information of the second assembly, wherein the assembly information comprises: component attributes, component names;
and extracting a third component capable of filling the component positioning point from the assembly database according to the component information.
In a possible implementation manner, before obtaining the item attribute of each of the resolution items, the method further includes:
constructing a component data model;
the component data model is subjected to space division, a unique address is matched with each subspace, the unique address is matched with a unique component, and meanwhile, the component content of the corresponding component is matched with a data field in the subspace;
meanwhile, related action events and pattern events are configured to the component corresponding to each subspace according to the component content and the component dragged frequency;
determining the component attribute of the component according to the configured related action event and style event, mapping all item attributes related to the component attribute from a mapping data table, and establishing a mapping relation;
and calling the corresponding component according to the item attribute of the analysis item.
In a possible implementation manner, before creating the target application related to the user requirement of the target user, the method further includes:
acquiring user requirements of the target user, and extracting requirement keywords in the user requirements;
acquiring target factors influencing the user requirements, classifying and dividing the target factors to obtain N types of factors, respectively constructing a first matrix of each type of factor, and meanwhile, calculating a characteristic value of the first matrix;
constructing a second matrix according to all the acquired characteristic values;
according to the first matrix, the eigenvalue of the first matrix and the second matrix, the proportion weight of each type of factors is called from a discrimination database;
acquiring a maximum proportion weight from all the adjusted proportion weights, and optimizing the requirement keywords according to target factors corresponding to the maximum proportion weight;
the optimized demand keywords are matched one by one based on the education database;
determining a corresponding education type according to the optimized demand keywords, and screening a referenceable application from an education database according to the education type;
wherein the created target application matches the referenceable application.
In a possible implementation manner, the process of obtaining all the target pages after the optimization processing to form the service system further includes:
acquiring a first function list of the target page set, and disassembling according to the first function list to acquire a plurality of target pages;
acquiring a second function list of the target page, disassembling and acquiring a plurality of components according to the second function list, and completing the service function of the target page according to the plurality of components;
meanwhile, according to all the service functions, the service system is assembled and formed.
In a possible implementation manner, the step of performing parsing processing on the user requirement includes:
constructing a user behavior model according to the user requirements of the target user;
the user behavior model comprises user behavior labels corresponding to user requirements and key information and corresponding weights;
acquiring an instruction text corresponding to the user requirement through a user behavior model, and displaying an analysis interface corresponding to the instruction text;
when a selection instruction triggered based on the analysis interface is received, determining an analysis type corresponding to the selection instruction;
acquiring an analysis algorithm corresponding to the analysis type, and selecting an analysis mode for analyzing a command to be called input by a target user in advance from an analysis mode database according to the analysis algorithm;
calling an analysis window according to the analysis mode, acquiring analysis parameters corresponding to the analysis mode and an instruction sent by the target user, which are input on the analysis window, and analyzing the instruction to be called, which is input in advance by the target user, according to the analysis parameters and the analysis algorithm;
after the analysis is finished, displaying an analysis result corresponding to the instruction text, determining whether only one application program meeting the instruction to be called and input by a target user in advance in the user behavior model is available according to the analysis result, and if so, directly determining the application program to be called;
if not, according to the user behavior tags in the user behavior model and the corresponding weights, taking the application program corresponding to the highest weight of the user behavior tags as the application program which is finally determined to be called;
and calling the finally confirmed application program and displaying the application program in the window.
In one possible implementation manner, the method further includes:
constructing an analysis processing model related to the layout area and the target page;
processing the operation data related to the layout area and the target page by using the analysis processing model, and determining the problems of the layout area and the target page in the operation process;
meanwhile, the analysis processing model is used for processing the existing problems, and the result of the analysis processing model for processing the problems comprises the following steps: one problem corresponds to one processing result, and one problem corresponds to one probability value;
determining the problem of the corresponding maximum probability value as the problem existing in the operation process of the layout area and the target page;
if the maximum probability value is larger than or equal to a preset probability value, searching a solution corresponding to the problem of the maximum probability value through a preset problem rule engine, and processing the problem of the maximum probability value through the searched solution;
acquiring an optimization parameter related to a processing result from an optimization database, and calculating a comprehensive evaluation value of the optimization parameter according to the following formula;
wherein,
representing said optimization parametersThe comprehensive evaluation value; n represents the number of optimized parameters corresponding to the problem of solving the maximum probability value;
a parameter weight value representing an ith optimization parameter corresponding to a problem solving the maximum probability value;
representing the probability of the problem of the maximum probability value occurring in the layout area and the target page in the operation process; representing the weight values of the layout area and the target page; representing the safety factor of the ith optimization parameter corresponding to the problem that the maximum probability value occurs in the layout area and the target page in the operation process, and the value range is [0.1,0.9 ]](ii) a Representing the reliable operation mean value of operation data corresponding to the problem of the maximum probability value appearing in the layout area and the target page in the operation process;
representing the layout area and the running effective value of the running data corresponding to the problem in the running process of the target page;
representing the ratio of the optimized data corresponding to the optimized parameters in the operating data;
calculating an optimized value of the problem of the maximum probability value corresponding to the layout area and the target page according to the calculated comprehensive evaluation value:
wherein,
an optimized value representing the problem with the maximum probability value;
a comprehensive evaluation value representing the optimization parameter;
the stability parameters of the server influencing the work of the layout area and the target page are represented, and the value range is [1,3 ]]；
Representing the working time of the server;
representing a correlation value of the layout area and a target page;
representing the inclusion values of the layout area and the target page during operation;
based on the optimized value, performing compensation feedback on the layout area and the target page, simultaneously, operating the layout area and the target page after compensation feedback again, acquiring corresponding to-be-processed operating data in real time, processing the to-be-processed operating data through an analysis processing model, and judging whether the layout area and the target page have problems in the operating process;
if a problem occurs, performing compensation feedback on the layout area and the target page by acquiring optimization again until no problem occurs in the operation process;
if no problem occurs, the layout area and the target page are qualified.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a low-code platform for enterprise online education according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a low-code platform for enterprise online education, which is shown in figure 1 and comprises the following components:
step 1: creating a target application related to user requirements of a target user;
step 2: creating a target page set related to the target application based on the page design area of the target application;
and step 3: based on the component area, acquiring a dragging component related to the user requirement;
and 4, step 4: analyzing the user requirements to obtain a plurality of analysis items, automatically binding each analysis item and the corresponding dragging component based on the assembled database, and dragging the bound dragging component to the layout area of the corresponding target page in the target page set according to the binding result;
and 5: acquiring the item attribute of each analysis item, acquiring optimization parameters from an optimization database according to the item attribute, and optimizing the corresponding layout area and the target page;
step 6: and acquiring all the target pages after the optimization processing to form a service system.
In the embodiment, on the basis of the capacity of the existing service, the technical scheme can quickly complete the capacity of building and aggregating the service, can perform personalized design on the existing platform, can build a personalized data model closer to the service of a client, can provide the display capacity of diversified data reports, and can provide more flow schemes for the service of the client, so that the code utilization rate in the building process is reduced, and therefore, a low-code platform appears.
In this embodiment, with respect to the above technical solution, the following implementation may be further performed:
the method comprises the steps of entering a platform management system, creating an application, entering a page design area of the application, creating a page, dragging components to a layout area of the page in a component area in a dragging mode, setting data binding, event binding and style attributes of the components, forming the page by setting a plurality of components for assembly, and forming a service system by self-built pages with a plurality of functions.
In this embodiment, a user-desired target application, such as a user, needs to construct a makeup platform, and at this time, a makeup application is created, such as one including many blank interfaces.
In the embodiment, the user requirement is analyzed, a plurality of analysis items are convenient to obtain, the item attribute of each analysis item is determined, the optimization parameters are convenient to obtain, and the dragging assembly is dragged to the layout area of the target page, so that the problems of layout, position, size and the like may exist, and therefore, the optimization parameters are convenient to adjust by obtaining the optimization parameters, and further the optimization of the target page is realized.
In this embodiment, the concept of platformization has been strengthened, makes things convenient for the customer to design the system of the education trade of more diversified show on the platform, and the framework structure that this platform adopted can hold more education trade's business module, can make up more business processes and functions, and the data in this subassembly can be freely customized by the customer, and this makes the data model more nimble, and can be better carry out data statistics, makes things convenient for the later stage to carry out data analysis and excavation.
For the embodiment, it should be noted that the components can be used for precipitating common components and basic components of the education industry with smaller granularity on the basis of business components of the education industry, and specifications of the components can be customized in advance or opened to third parties for development.
In the process of creating the target application, more business scenes of the education industry can be considered,
for the design of a subsequent business data model, relational design of a database, such as dynamic design of external keys, indexes, storage processes and the like, can be added, and event design can increase more intelligent free coding capacity and facilitate the acquisition of the support of multiple programming languages;
in the design of a big data center and a report, intelligent data analysis can be performed by combining artificial intelligence, and certain pre-design can be performed by combining the artificial intelligence, the intelligent collection and the requirement of a decomposition customer.
The beneficial effects of the above technical scheme are: the method is used for carrying out personalized construction based on customer requirements and depending on service construction and aggregation capacity, and is convenient for users to construct and improve user experience effects.
The invention provides a low-code platform for enterprise online education, and the step of creating a target application related to the user requirements of a target user comprises the following steps: receiving a target account number input by the target user based on a login interface of a platform management system, verifying, and when the target account number is verified to be qualified, authorizing successfully;
after the target account is successfully authorized, calling an application management function according to the platform management system, and creating a target application according to the user requirement of the target user;
wherein after the target application is created, the method further comprises:
according to the user requirements, automatically matching basic information, application names and a matchable platform of the target application;
and matching the current business data model of the target application, and importing business data into the target application.
The beneficial effects of the above technical scheme are: through authorization verification, the application management function is conveniently and effectively called, the target application is conveniently created according to the user requirement, and after the target application is created, the service data is conveniently acquired to optimize the target user.
The invention provides a low-code platform for enterprise online education, and the step of creating a target page set related to a target application based on a page design area of the target application comprises the following steps: establishing a first target page set according to the user requirements of the target user, receiving a page establishing instruction input by the target user, and establishing a plurality of target pages to form a second target page set;
fusing the first target page set and the second target page set to obtain a page set to be adjusted;
automatically matching page names, page titles, page keywords and page attributes related to page description for each target page in the page set to be adjusted based on a page database, and adjusting the page attributes to obtain a target page set;
each target page in the target page set is compatible with different target terminals, and rendering schemes of the target pages corresponding to the different target terminals are different.
In this embodiment, the target terminal may be either one or both of a mobile terminal and a PC terminal.
The beneficial effects of the above technical scheme are: by creating the target page and performing fusion processing on the page, the method not only aims to improve the richness of the page, but also aims to perform subsequent adjustment on the page, automatically matches various related parameters to the page to be adjusted, avoids manual operation, reduces the operation steps of a user, and improves the operation efficiency.
The invention provides a low-code platform for enterprise online education, which further comprises the following steps in the process of dragging a bound dragging component to a layout area of a corresponding target page in a target page set:
automatically dragging the corresponding dragging component to the layout area of the corresponding target page based on the binding result;
sequentially carrying out one-to-many comparative analysis on all dragging assemblies existing in the layout area;
according to the analysis result, first assemblies in all dragging assemblies in the layout area are removed, and meanwhile assembly positioning points of the first assemblies in the layout area are obtained;
acquiring a second assembly in a preset space where the assembly positioning point is located, and acquiring assembly information of the second assembly, wherein the assembly information comprises: component attributes, component names;
and extracting a third component capable of filling the component positioning point from the assembly database according to the component information.
In this embodiment, the extracted third component is related to the second component, and because the first component is not qualified in the comparative analysis with the second component, the first component is replaced by obtaining the third component, which is convenient for improving the effectiveness of building.
In this embodiment, the binding result is, for example, a certain makeup product of the makeup application, and at this time, the corresponding component is content related to the certain makeup product, such as a photograph, a text description, and the like.
The beneficial effects of the above technical scheme are: through according to binding the result, drag automatically, reduce manual operation, further made things convenient for and built, through carrying out a to many contrastive analysis with dragging the subassembly, be in order to reject unqualified subassembly, simultaneously, fix a position unqualified subassembly to and confirm that unqualified subassembly is located the second subassembly in presetting the space, be for the convenience to draw the third subassembly, carry out effective filling to this setpoint, guarantee the validity of overall arrangement result.
The invention provides a low-code platform for enterprise online education, which further comprises the following steps before the item attribute of each analysis item is obtained:
constructing a component data model;
the component data model is subjected to space division, a unique address is matched with each subspace, the unique address is matched with a unique component, and meanwhile, the component content of the corresponding component is matched with a data field in the subspace;
meanwhile, related action events and pattern events are configured to the component corresponding to each subspace according to the component content and the component dragged frequency;
determining the component attribute of the component according to the configured related action event and style event, mapping all item attributes related to the component attribute from a mapping data table, and establishing a mapping relation;
and calling the corresponding component according to the item attribute of the analysis item.
In the embodiment, the component data model is spatially divided, the unique address is matched, searching is facilitated, and related events are conveniently configured by matching component contents to the data field.
In this embodiment, the component properties are related to, for example, style and style changeability.
The beneficial effects of the above technical scheme are: by configuring action events and style events, the assembly is convenient to effectively use in the building process or the dragging process, and the flexibility of the assembly is ensured.
The invention provides a low-code platform for enterprise online education, which further comprises the following steps before a target application relevant to the user requirement of a target user is created:
acquiring user requirements of the target user, and extracting requirement keywords in the user requirements;
acquiring target factors influencing the user requirements, classifying and dividing the target factors to obtain N types of factors, respectively constructing a first matrix of each type of factor, and meanwhile, calculating a characteristic value of the first matrix;
constructing a second matrix according to all the acquired characteristic values;
according to the first matrix, the eigenvalue of the first matrix and the second matrix, the proportion weight of each type of factors is called from a discrimination database;
acquiring a maximum proportion weight from all the adjusted proportion weights, and optimizing the requirement keywords according to target factors corresponding to the maximum proportion weight;
the optimized demand keywords are matched one by one based on the education database;
determining a corresponding education type according to the optimized demand keywords, and screening a referenceable application from an education database according to the education type;
wherein the created target application matches the referenceable application.
In the embodiment, in the process of acquiring the user requirement, requirement keywords such as eye makeup, lip makeup and the like related to makeup application are extracted;
in this embodiment, the target factors affecting the user requirements are classified, for example, the target factors include: and factors such as wrong fonts and different results of user requirements in different occasions appear in the user requirement input process, and are classified and divided to obtain N types of factors.
In this embodiment, a new matrix is constructed according to the eigenvalues by constructing each type of matrix and acquiring the eigenvalues.
In the embodiment, the corresponding requirement keywords can be effectively judged by calling the proportional weight of each type of factors, so that the requirement keywords are matched, and the effectiveness of obtaining the matched education types is improved conveniently.
In this embodiment, the created target application is matched with the referenceable application, so that some effective parameters can be provided for the target application based on the referenceable parameters of the referenceable application, and the efficiency of page building is improved.
The beneficial effects of the above technical scheme are: through classifying the target factors, the corresponding demand keywords can be conveniently acquired, the demand keywords are optimized, the education types can be conveniently and effectively matched, and the efficiency of setting up the page can be conveniently improved through matching the created target application with the application which can be referred to.
The invention provides a low-code platform for enterprise online education, which is used for acquiring all target pages after optimization processing and forming a business system, and further comprises the following steps:
acquiring a first function list of the target page set, and disassembling according to the first function list to acquire a plurality of target pages;
acquiring a second function list of the target page, disassembling and acquiring a plurality of components according to the second function list, and completing the service function of the target page according to the plurality of components;
meanwhile, according to all the service functions, the service system is assembled and formed.
The beneficial effects of the above technical scheme are: and by acquiring the first function list and the second function fission, the complete service system is conveniently assembled and formed.
The invention provides a low-code platform for enterprise online education, which comprises the following steps of:
constructing a user behavior model according to the user requirements of the target user;
the user behavior model comprises user behavior labels corresponding to user requirements and key information and corresponding weights;
acquiring an instruction text corresponding to the user requirement through a user behavior model, and displaying an analysis interface corresponding to the instruction text;
when a selection instruction triggered based on the analysis interface is received, determining an analysis type corresponding to the selection instruction;
acquiring an analysis algorithm corresponding to the analysis type, and selecting an analysis mode for analyzing a command to be called input by a target user in advance from an analysis mode database according to the analysis algorithm;
calling an analysis window according to the analysis mode, acquiring analysis parameters corresponding to the analysis mode and an instruction sent by the target user, which are input on the analysis window, and analyzing the instruction to be called, which is input in advance by the target user, according to the analysis parameters and the analysis algorithm;
after the analysis is finished, displaying an analysis result corresponding to the instruction text, determining whether only one application program meeting the instruction to be called and input by a target user in advance in the user behavior model is available according to the analysis result, and if so, directly determining the application program to be called;
if not, according to the user behavior tags in the user behavior model and the corresponding weights, taking the application program corresponding to the highest weight of the user behavior tags as the application program which is finally determined to be called;
and calling the finally confirmed application program and displaying the application program in the window.
In this embodiment, the user behavior labels and the corresponding weights corresponding to the user requirements and the key information indicate that the user behaviors are marked according to the user requirements and the key information input when the low-code platform is used, results of multiple experiments are stored, and meanwhile, the applications related to the target user requirements are prioritized by using the weights, so that the requirements of the target user can be conveniently determined.
In this embodiment, the instruction text refers to that when a user needs to call an application, the operation of the user is converted into the instruction text, and the instruction text belongs to a computer language, which is convenient for a computer to recognize.
In this embodiment, the analyzing type refers to dividing and classifying the operation instruction of the user according to the user requirement, and selecting a corresponding analyzing type according to the classified type to analyze the user requirement.
In this embodiment, the analysis algorithm refers to that after the analysis type is determined, the operation instruction of the user is calculated and analyzed through a corresponding algorithm, the analysis algorithm corresponds to the operation instruction one to one, and one operation instruction can only be analyzed through the corresponding analysis algorithm.
In this embodiment, the instruction to be called refers to selecting a corresponding parsing manner for the target application according to a result obtained by calculation using a parsing algorithm, and the instruction to be called is called an instruction to be called, which needs to be controlled by a corresponding calling instruction.
In this embodiment, the parsing result refers to a result of a series of parsing of the instruction text, corresponding to the instruction text for converting the target requirement, that is, the target requirement of the user.
The beneficial effects of the above technical scheme are: the method comprises the steps of converting the requirements of a user into instruction texts through a user behavior model, facilitating computer identification, selecting corresponding analysis interfaces according to the converted instruction texts, calling out corresponding analysis types through the analysis interfaces, determining corresponding analysis algorithms, carrying out level-to-level progression, strictly analyzing the requirements of target users, finally obtaining analysis results through corresponding analysis modes, ensuring the accuracy of the analysis results, detecting the correspondence of the application programs when the application programs are called according to the analysis results, and ensuring the requirements of the target users when the application programs are called out.
The invention provides a low-code platform for enterprise online education, which further comprises:
constructing an analysis processing model related to the layout area and the target page;
processing the operation data related to the layout area and the target page by using the analysis processing model, and determining the problems of the layout area and the target page in the operation process;
meanwhile, the analysis processing model is used for processing the existing problems, and the result of the analysis processing model for processing the problems comprises the following steps: one problem corresponds to one processing result, and one problem corresponds to one probability value;
determining the problem of the corresponding maximum probability value as the problem existing in the operation process of the layout area and the target page;
if the maximum probability value is larger than or equal to a preset probability value, searching a solution corresponding to the problem of the maximum probability value through a preset problem rule engine, and processing the problem of the maximum probability value through the searched solution;
acquiring an optimization parameter related to a processing result from an optimization database, and calculating a comprehensive evaluation value of the optimization parameter according to the following formula;
wherein,
a comprehensive evaluation value representing the optimization parameter; n represents the number of optimized parameters corresponding to the problem of solving the maximum probability value;
a parameter weight value representing an ith optimization parameter corresponding to a problem solving the maximum probability value;
representing the probability of the problem of the maximum probability value occurring in the layout area and the target page in the operation process; representing the weight values of the layout area and the target page; representing the safety factor of the ith optimization parameter corresponding to the problem that the maximum probability value occurs in the layout area and the target page in the operation process, and the value range is [0.1,0.9 ]](ii) a Representing the reliable operation mean value of operation data corresponding to the problem of the maximum probability value appearing in the layout area and the target page in the operation process;
representing the layout area and the running effective value of the running data corresponding to the problem in the running process of the target page;
representing the ratio of the optimized data corresponding to the optimized parameters in the operating data;
calculating an optimized value of the problem of the maximum probability value corresponding to the layout area and the target page according to the calculated comprehensive evaluation value:
wherein,
an optimized value representing the problem with the maximum probability value; a comprehensive evaluation value representing the optimization parameter;
the stability parameters of the server influencing the work of the layout area and the target page are represented, and the value range is [1,3 ]]；
Representing the working time of the server;
representing a correlation value of the layout area and a target page;
representing the inclusion values of the layout area and the target page during operation;
based on the optimized value, performing compensation feedback on the layout area and the target page, simultaneously, operating the layout area and the target page after compensation feedback again, acquiring corresponding to-be-processed operating data in real time, processing the to-be-processed operating data through an analysis processing model, and judging whether the layout area and the target page have problems in the operating process;
if a problem occurs, performing compensation feedback on the layout area and the target page by acquiring optimization again until no problem occurs in the operation process;
if no problem occurs, the layout area and the target page are qualified.
The beneficial effects of the above technical scheme are: optimizing a layout area and a target page appearing in the use process of a target user by constructing an analysis processing model, finding out problems appearing in the operation process by detecting data in the operation process of the layout area and the target page, ensuring the detection of all data, having comprehensiveness, searching a corresponding solution according to the detected problems, selecting corresponding optimization parameters from an optimization database after determining the solution to optimize the appearing problems, and when calculating the comprehensive evaluation index of the optimization parameters, calculating a parameter weight value of the optimization parameters, a weight value of the target page and an operation reliable mean value of the operation data, so that the evaluation result is more accurate, the appearing problems are objectively evaluated, and simultaneously calculating the optimization value of the problems according to the comprehensive evaluation index of the optimization parameters, a stability parameter, a reliability parameter, and a reliability parameter of the operation, The correlation values of the layout area and the target page and the recording values of the layout area and the target page during operation ensure that the problems are comprehensively optimized, the problems of the layout area and the target page during operation are solved, the operation data is detected again after optimization until no problem occurs, the problems are thoroughly solved, the user experience is comfortable, and the operation effect of the system is enhanced.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A low-code platform for enterprise online education, comprising:
creating a target application related to user requirements of a target user;
creating a target page set related to the target application based on the page design area of the target application;
based on the component area, acquiring a dragging component related to the user requirement;
analyzing the user requirements to obtain a plurality of analysis items, automatically binding each analysis item and the corresponding dragging component based on the assembled database, and dragging the bound dragging component to the layout area of the corresponding target page in the target page set according to the binding result;
acquiring the item attribute of each analysis item, acquiring optimization parameters from an optimization database according to the item attribute, and optimizing the corresponding layout area and the target page;
and acquiring all the target pages after the optimization processing to form a service system.
2. The low code platform of claim 1, wherein the step of creating a target application that is relevant to the user needs of the target user comprises: receiving a target account number input by the target user based on a login interface of a platform management system, verifying, and when the target account number is verified to be qualified, authorizing successfully;
after the target account is successfully authorized, calling an application management function according to the platform management system, and creating a target application according to the user requirement of the target user;
wherein after the target application is created, the method further comprises:
according to the user requirements, automatically matching basic information, application names and a matchable platform of the target application;
and matching the current business data model of the target application, and importing business data into the target application.
3. The low code platform of claim 1, wherein the step of creating a set of target pages related to the target application based on the page design area of the target application comprises: establishing a first target page set according to the user requirements of the target user, receiving a page establishing instruction input by the target user, and establishing a plurality of target pages to form a second target page set;
fusing the first target page set and the second target page set to obtain a page set to be adjusted;
automatically matching page names, page titles, page keywords and page attributes related to page description for each target page in the page set to be adjusted based on a page database, and adjusting the page attributes to obtain a target page set;
each target page in the target page set is compatible with different target terminals, and rendering schemes of the target pages corresponding to the different target terminals are different.
4. The low-code platform according to claim 1, wherein in dragging a bound drag component into a layout area of a corresponding target page in the set of target pages, further comprising:
automatically dragging the corresponding dragging component to the layout area of the corresponding target page based on the binding result;
sequentially carrying out one-to-many comparative analysis on all dragging assemblies existing in the layout area;
according to the analysis result, first assemblies in all dragging assemblies in the layout area are removed, and meanwhile assembly positioning points of the first assemblies in the layout area are obtained;
acquiring a second assembly in a preset space where the assembly positioning point is located, and acquiring assembly information of the second assembly, wherein the assembly information comprises: component attributes, component names;
and extracting a third component capable of filling the component positioning point from the assembly database according to the component information.
5. The low-code platform of claim 1, wherein before obtaining the item attributes of each of the parsed items, further comprising:
constructing a component data model;
the component data model is subjected to space division, a unique address is matched with each subspace, the unique address is matched with a unique component, and meanwhile, the component content of the corresponding component is matched with a data field in the subspace;
meanwhile, related action events and pattern events are configured to the component corresponding to each subspace according to the component content and the component dragged frequency;
determining the component attribute of the component according to the configured related action event and style event, mapping all item attributes related to the component attribute from a mapping data table, and establishing a mapping relation;
and calling the corresponding component according to the item attribute of the analysis item.
6. The low code platform of claim 1, wherein prior to creating the target application associated with the user needs of the target user, further comprising:
acquiring user requirements of the target user, and extracting requirement keywords in the user requirements;
acquiring target factors influencing the user requirements, classifying and dividing the target factors to obtain N types of factors, respectively constructing a first matrix of each type of factor, and meanwhile, calculating a characteristic value of the first matrix;
constructing a second matrix according to all the acquired characteristic values;
according to the first matrix, the eigenvalue of the first matrix and the second matrix, the proportion weight of each type of factors is called from a discrimination database;
acquiring a maximum proportion weight from all the adjusted proportion weights, and optimizing the requirement keywords according to target factors corresponding to the maximum proportion weight;
the optimized demand keywords are matched one by one based on the education database;
determining a corresponding education type according to the optimized demand keywords, and screening a referenceable application from an education database according to the education type;
wherein the created target application matches the referenceable application.
7. The low-code platform according to claim 1, wherein the process of obtaining all the optimized target pages to form the service system further comprises:
acquiring a first function list of the target page set, and disassembling according to the first function list to acquire a plurality of target pages;
acquiring a second function list of the target page, disassembling and acquiring a plurality of components according to the second function list, and completing the service function of the target page according to the plurality of components;
meanwhile, according to all the service functions, the service system is assembled and formed.
8. The low code platform of claim 1, wherein the step of parsing the user requirements comprises:
constructing a user behavior model according to the user requirements of the target user;
the user behavior model comprises user behavior labels corresponding to user requirements and key information and corresponding weights;
acquiring an instruction text corresponding to the user requirement through a user behavior model, and displaying an analysis interface corresponding to the instruction text;
when a selection instruction triggered based on the analysis interface is received, determining an analysis type corresponding to the selection instruction;
acquiring an analysis algorithm corresponding to the analysis type, and selecting an analysis mode for analyzing a command to be called input by a target user in advance from an analysis mode database according to the analysis algorithm;
calling an analysis window according to the analysis mode, acquiring analysis parameters corresponding to the analysis mode and an instruction sent by the target user, which are input on the analysis window, and analyzing the instruction to be called, which is input in advance by the target user, according to the analysis parameters and the analysis algorithm;
after the analysis is finished, displaying an analysis result corresponding to the instruction text, determining whether only one application program meeting the instruction to be called and input by a target user in advance in the user behavior model is available according to the analysis result, and if so, directly determining the application program to be called;
if not, according to the user behavior tags in the user behavior model and the corresponding weights, taking the application program corresponding to the highest weight of the user behavior tags as the application program which is finally determined to be called;
and calling the finally confirmed application program and displaying the application program in the window.
9. The low code platform of claim 1, further comprising:
constructing an analysis processing model related to the layout area and the target page;
processing the operation data related to the layout area and the target page by using the analysis processing model, and determining the problems of the layout area and the target page in the operation process;
meanwhile, the analysis processing model is used for processing the existing problems, and the result of the analysis processing model for processing the problems comprises the following steps: one problem corresponds to one processing result, and one problem corresponds to one probability value;
determining the problem of the corresponding maximum probability value as the problem existing in the operation process of the layout area and the target page;
if the maximum probability value is larger than or equal to a preset probability value, searching a solution corresponding to the problem of the maximum probability value through a preset problem rule engine, and processing the problem of the maximum probability value through the searched solution;
acquiring an optimization parameter related to a processing result from an optimization database, and calculating a comprehensive evaluation value of the optimization parameter according to the following formula;
wherein,
a comprehensive evaluation value representing the optimization parameter; n represents the number of optimized parameters corresponding to the problem of solving the maximum probability value;
a parameter weight value representing an ith optimization parameter corresponding to a problem solving the maximum probability value;
representing the probability of the problem of the maximum probability value occurring in the layout area and the target page in the operation process; representing the weight values of the layout area and the target page; representing the safety factor of the ith optimization parameter corresponding to the problem that the maximum probability value occurs in the layout area and the target page in the operation process, and the value range is [0.1,0.9 ]]；
Representing the reliable operation mean value of operation data corresponding to the problem of the maximum probability value appearing in the layout area and the target page in the operation process;
representing the layout area and the running effective value of the running data corresponding to the problem in the running process of the target page;
representing the ratio of the optimized data corresponding to the optimized parameters in the operating data;
calculating an optimized value of the problem of the maximum probability value corresponding to the layout area and the target page according to the calculated comprehensive evaluation value:
wherein,
an optimized value representing the problem with the maximum probability value;
a comprehensive evaluation value representing the optimization parameter;
the stability parameters of the server influencing the work of the layout area and the target page are represented, and the value range is [1,3 ]]；
Representing the working time of the server;
representing a correlation value of the layout area and a target page;
representing the inclusion values of the layout area and the target page during operation;
based on the optimized value, performing compensation feedback on the layout area and the target page, simultaneously, operating the layout area and the target page after compensation feedback again, acquiring corresponding to-be-processed operating data in real time, processing the to-be-processed operating data through an analysis processing model, and judging whether the layout area and the target page have problems in the operating process;
if a problem occurs, performing compensation feedback on the layout area and the target page by acquiring optimization again until no problem occurs in the operation process;
if no problem occurs, the layout area and the target page are qualified.
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