CN116932553A - Method, device, equipment and storage medium for constructing due-job questionnaire list - Google Patents
Method, device, equipment and storage medium for constructing due-job questionnaire list Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for constructing a due diligence questionnaire, wherein the method for constructing the due diligence questionnaire comprises the following steps: acquiring the demand of the user for the adjustment; based on the adjustment requirement, selecting a corresponding target component from a preset functional component library, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of an due-job questionnaire list; and constructing a due diligence questionnaire form based on the target component. According to the technical field of the data computer, according to the demand of the user, each pre-developed functional component of the form is used as a minimum construction unit to construct a corresponding due diligence questionnaire form, and developers are not required to repeatedly modify the bottom layer codes according to different demands, so that repeated development work is reduced, and the construction efficiency of the due diligence questionnaire form is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for constructing a due diligence questionnaire.
Background
Currently, financial institutions often need to conduct due diligence before conducting some financial transactions. The due investigation refers to a series of investigation of the property and liability conditions, the operation and financial conditions, legal relation of a target company, and opportunities and potential risks faced by the target company by a buyer in the purchasing process of the financial institution. The due-job investigation is one of the most important links in the enterprise acquisition and merger program and is also an important risk prevention tool in the acquisition operation process.
In the related art, a front-end developer constructs a due diligence questionnaire through a code development mode. However, when financial institutions conduct financial transactions with different companies, there are different requirements for due diligence investigation, so that front-end developers need to conduct code development according to different requirements each time, which is time-consuming and labor-consuming, and results in low efficiency of building due diligence questionnaires.
Disclosure of Invention
The application mainly aims to provide a method, a device, equipment and a storage medium for constructing a due diligence questionnaire, which aim to solve the technical problem of low construction efficiency of the due diligence questionnaire in the prior art.
In order to achieve the above object, the present application provides a method for constructing a due diligence questionnaire, the method for constructing a due diligence questionnaire comprising:
Acquiring the demand of the user for the adjustment;
based on the adjustment requirement, selecting a corresponding target component from a preset functional component library, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of an due-job questionnaire list;
and constructing a due diligence questionnaire form based on the target component.
Optionally, the step of selecting the corresponding target component from the preset functional component library based on the adjustment requirement includes:
determining configuration functions and attribute configuration of the components based on the adjustment requirements, wherein the attribute configuration is used for realizing personalized control of the functions and styles of the components;
and selecting a target component corresponding to the configuration function and the attribute configuration from a preset function component library.
Optionally, after the step of selecting the corresponding target component from the preset functional component library based on the requirement for adjustment, the method includes:
the target component is constructed by adopting a global variable, wherein the global variable is used for realizing the unified management of the authority and verification of the components;
the step of constructing the due diligence questionnaire form based on the target component comprises the following steps:
And constructing a due diligence questionnaire form based on the target component and the global variable.
Optionally, the step of constructing a due diligence questionnaire based on the target component includes:
determining a respective combined ranking based on the target component;
based on the combination ordering, orderly combining the target components to construct corresponding form chapters;
and performing splicing combination of the combination ordering on the form chapters to construct a corresponding due diligence questionnaire.
Optionally, the step of selecting the corresponding target component from the preset functional component library based on the adjustment requirement includes:
determining a form construction scheme based on the demand for the adjustment;
and selecting a corresponding target component from a preset functional component library based on the form construction scheme.
Optionally, the step of determining a form construction scheme based on the requirement of the adjustment includes:
inputting the adjustment requirement to a preset scheme construction model, and carrying out requirement analysis on the adjustment requirement based on the scheme construction model to obtain a form construction scheme;
the scheme construction model is a form construction scheme label based on a functional requirement sample and the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme construction model meeting the precision condition.
Optionally, the step of inputting the requirement for adjustment to a preset scheme building model, and performing requirement analysis on the requirement for adjustment based on the scheme building model to obtain a form building scheme is preceded by the steps of:
acquiring a function requirement sample and a form 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 a form construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the accuracy condition.
The application also provides a device for constructing the due diligence questionnaire, which comprises:
the acquisition module is used for acquiring the adjustment requirement of the user;
the selecting module is used for selecting corresponding target components from a preset functional component library based on the adjustment requirement, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of a due diligence questionnaire;
and the construction module is used for constructing the due diligence questionnaire form based on the target component.
The application also provides a device for constructing the due diligence questionnaire, which comprises: a memory, a processor and a program stored on the memory for implementing the method of constructing the due diligence questionnaire,
The memory is used for storing a program for realizing a construction method of the due-job questionnaire list;
the processor is used for executing a program for realizing the construction method of the due diligence questionnaire list so as to realize the steps of the construction method of the due diligence questionnaire list.
The application also provides a storage medium, on which a program for implementing the method for constructing the due diligence questionnaire is stored, the program for implementing the method for constructing the due diligence questionnaire being executed by a processor to implement the steps of the method for constructing the due diligence questionnaire.
Compared with the method, the device, the equipment and the storage medium for constructing the due-job questionnaire, which are provided by the application, the method, the device, the equipment and the storage medium for constructing the due-job questionnaire, which are time-consuming and labor-consuming and result in low construction efficiency of the due-job questionnaire, have the advantages that the due-job questionnaire needs of a user are acquired in the application; based on the adjustment requirement, selecting a corresponding target component from a preset functional component library, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of an due-job questionnaire list; and constructing a due diligence questionnaire form based on the target component. In the application, according to the user's demand of the adjustment, each pre-developed functional component of the form is used as the minimum construction unit to construct the corresponding due diligence questionnaire, and the developer is not required to repeatedly modify the bottom code according to different demands, so that the repeated development work is reduced, and the construction efficiency of the due diligence questionnaire 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 application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person 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 flow chart of a first embodiment of a method for constructing a due diligence questionnaire;
FIG. 3 is a block diagram of an apparatus for constructing a due diligence questionnaire according to the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
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 scope of the 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 of the embodiment of the application can be a PC, or can be a mobile terminal device with a display function, such as a smart phone, a tablet personal 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 and 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, a memory 1005 as a computer storage medium may include an operating device, a network communication module, a user interface module, and a program for constructing an due diligence questionnaire.
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 the processor 1001 may be used to invoke the building program of the due diligence questionnaire stored in the memory 1005.
Referring to fig. 2, an embodiment of the present application provides a method for constructing an due diligence questionnaire, where the method for constructing the due diligence questionnaire includes:
step S100, obtaining the user' S demand for the best adjustment;
step S200, selecting a corresponding target component from a preset functional component library based on the adjustment requirement, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of a due diligence questionnaire;
and step S300, constructing an due diligence questionnaire form based on the target component.
In this embodiment, the application scenario aimed at is:
as an example, a scenario for the construction of a due diligence questionnaire may be that a financial institution needs to construct a due diligence questionnaire according to the own due diligence requirements before conducting a financial transaction. In the related art, a front-end developer constructs a due diligence questionnaire through a code development mode. However, when financial institutions conduct financial transactions with different companies, there are different requirements for due diligence investigation, so that front-end developers need to conduct code development according to different requirements each time, which is time-consuming and labor-consuming, and results in low efficiency of building due diligence questionnaires. Aiming at the scene, the construction method of the due diligence questionnaire forms takes all pre-developed functional components of the forms as minimum construction units according to the demand of users, and constructs the corresponding due diligence questionnaire forms without repeated modification of bottom codes by developers according to different demands, so that repeated development work is reduced, and the construction efficiency of the due diligence questionnaire forms is improved.
As an example, the application scenario of the construction of the due diligence questionnaire form is not limited specifically, but the due diligence questionnaire form is constructed according to the due diligence requirement of the own party before the financial transaction is performed, and the construction scenario of various due diligence questionnaire forms and text forms developed by other codes are also included.
The present embodiment aims at: and the construction efficiency of the due diligence questionnaire list is improved.
In this embodiment, the method for constructing the due diligence questionnaire is applied to the device for constructing the due diligence questionnaire.
The method comprises the following specific steps:
step S100, obtaining the user' S demand for the best adjustment;
in this embodiment, the requirement information of the user/enterprise on the requirement list includes a function requirement, a configuration requirement and corresponding requirement information, where the function requirement information is information aiming at a requirement of a certain function, for example, an information collection function requirement, an accessory uploading function requirement and an editing function requirement; the configuration requirement information is information configured for the related attribute of the debug form, for example, for a check box component, the configuration attribute is the maximum number of items which can be checked, and if the check box component exceeds the check, the configuration requirement information is a prompt for at least uploading a plurality of accessories, and for an accessory component, the configuration attribute is less than the check failure prompt; the requirement information is a further requirement for functional requirements as well as configuration requirements.
In this embodiment, the manner in which the device obtains the user's demand for adjustment may be obtained by receiving and analyzing text information about the user's demand for adjustment sent by the user on the interactive interface, or may be obtained by receiving and analyzing speech information about the user's demand for adjustment sent by the user on the interactive interface, which is not limited herein.
Step S200, selecting a corresponding target component from a preset functional component library based on the adjustment requirement, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of a due diligence questionnaire;
in this embodiment, the device selects a corresponding target component from a preset function component library based on the requirement of the adjustment, where the function component library includes each pre-developed function component, and the function component is a minimum building unit of a due job questionnaire, and the function components include, but are not limited to, an information collecting function component, a single selection function component, a multiple selection function component, an attachment uploading function component, an editing function component, a form status function component, an editable function component, and the like, that is, a front-end developer only needs to pre-develop the function component, and the device can develop and maintain the form component as a minimum unit, so that the program is easy to expand, a due job questionnaire meeting the corresponding requirement of the adjustment is built, repeated development work is reduced without requiring the developer to repeatedly modify the underlying code according to different requirements, and the building efficiency of the due job questionnaire is improved.
Specifically, the step S200 includes the following steps S210 to S220:
step S210, determining configuration functions and attribute configurations of the components based on the adjustment requirements, wherein the attribute configurations are used for realizing personalized control of the functions and styles of the components;
in this embodiment, the device determines, based on the requirement of the adjustment, a configuration function and an attribute configuration of the component, where the attribute configuration is used to implement personalized control over the function and style of the component, the device constructs a chapter on the basis of the component, where the chapter is formed by arranging one or more components, constructs a form template on the basis of the chapter, where the form template is formed by arranging one or more chapters, and on the basis of the attribute configuration of the component, the device also has personalized attribute configuration on the due diligence questionnaire template, the chapter, and the like, and is used to control the form style and the function, so as to satisfy the personalized configuration of the due diligence questionnaire by the user and improve the user experience.
Step S220, selecting the target components corresponding to the configuration functions and the attribute configuration from a preset function component library.
In this embodiment, the device selects the target component corresponding to the configuration function and the attribute configuration from a preset function component library, where the function component library includes pre-opened components of various configuration functions and attribute configurations, and how to select the target component finally depends on the user's requirement of the adjustment.
And step S300, constructing an due diligence questionnaire form based on the target component.
In this embodiment, the device constructs the due diligence questionnaire form based on the target component, specifically, the device constructs form chapters through ordered combination of the components to complete the form construction method, so that the construction efficiency of the due diligence questionnaire form is improved.
Specifically, the step S300 includes the following steps S310 to S330:
step S310, determining corresponding combined ordering based on the target component;
in this embodiment, the apparatus determines, based on the target components, a corresponding combined ranking, where the ranks of different functional components are different, and determines, according to the relevant functional requirements and the component arrangement rule, the combined ranking of the corresponding target components.
Step S320, based on the combination ordering, orderly combining the target components to construct corresponding form chapters;
in this embodiment, the device performs ordered combination on the target components based on the combination ordering, and constructs a corresponding form section.
And step S330, performing splicing combination of the combination ordering on the form chapters to construct a corresponding due diligence questionnaire.
In this embodiment, the device performs the splicing and combining of the combination and ordering on the form chapters to construct a corresponding due diligence questionnaire, where the final due diligence questionnaire can be saved and used as a due diligence questionnaire template, and since many functions between due diligence questionnaires are the same, when building other required due diligence questionnaires, only functional components need to be added/reduced on the basis of the due diligence questionnaire template to construct a new due diligence questionnaire, and the functional components need not to be selected repeatedly, so as to improve the efficiency of building the due diligence questionnaire.
Compared with the method for constructing the due-job questionnaire, which is provided by the application, the method for constructing the due-job questionnaire has the advantages that compared with the method for constructing the due-job questionnaire, which is time-consuming and labor-consuming and causes low construction efficiency of the due-job questionnaire because front-end developers need to develop codes according to different requirements each time in the related technology, the method for constructing the due-job questionnaire acquires the user's due-job questionnaire; based on the adjustment requirement, selecting a corresponding target component from a preset functional component library, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of an due-job questionnaire list; and constructing a due diligence questionnaire form based on the target component. In the application, according to the user's demand of the adjustment, each pre-developed functional component of the form is used as the minimum construction unit to construct the corresponding due diligence questionnaire, and the developer is not required to repeatedly modify the bottom code according to different demands, so that the repeated development work is reduced, and the construction efficiency of the due diligence questionnaire is improved.
Based on the first embodiment, the present application further provides another embodiment, and the method for constructing the due diligence questionnaire includes:
after the step S200 of selecting a corresponding target component from a preset functional component library based on the requirement of the adjustment, the method includes the following steps a100-a200:
Step A100, constructing the target component by adopting a global variable, wherein the global variable is used for realizing data sharing among components and unified management of authority and verification of the components;
in this embodiment, the device builds the target component by using a global variable, where the global variable is used to implement data sharing between components and unified management of authority and verification of the components, so that the components have high reusability, and specifically, the device builds the global variable, implements data sharing between components, and unified component interfaces, and implements unified access, verification and management of the components.
In the embodiment, the device uses the limit function of the Vue framework, unifies and provides a component common interface, and all components can access the existing form framework after inheriting the limit; the device uses the watch function of the Vue framework for the checking function of all components of the global trigger list, realizes the unified checking of the components and acquires the checking result; the device constructs a global formModule, maintains global public attributes, and realizes global sharing among public attribute components.
The step of constructing the due diligence questionnaire form based on the target component comprises the following steps:
And step A200, constructing a due diligence questionnaire form based on the target component and the global variable.
In this embodiment, the apparatus constructs a due diligence questionnaire based on the target component and the global variable.
In this embodiment, the present application has the following beneficial effects: 1. easy to expand: the form component is used as a minimum unit for development and maintenance, so that the program is easy to expand; 2. and (3) personalized configuration: the templates, chapters and components have personalized attribute configuration and are used for controlling form styles and functions; 3. the reusability is high: the components share the global variable of the template, so that unified management of authority and verification of the components is realized, and the components have high reusability; 4. efficiency is improved: form chapters are built through ordered combination of components, so that the construction of the adjustment template is completed, and the efficiency can be improved.
Based on the first embodiment and the second embodiment, the present application further provides another embodiment, and the method for constructing the due diligence questionnaire includes the following steps B100-B700:
step B100, acquiring a function requirement sample and a form construction scheme label of the function requirement sample;
in this embodiment, the function requirement sample is information of functions required when the enterprise constructs a due job questionnaire, and the form construction scheme label of the function requirement sample is a label of a corresponding form construction scheme generated according to a corresponding function requirement.
Step B200, performing iterative training on a preset model to be trained based on the functional demand sample and a form construction scheme label of the functional demand 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 form construction scheme label of the functional requirement sample to obtain a scheme construction model meeting a precision condition, where the model to be trained is a preset initial model with a basic processing functional requirement sample, and predicts a form construction scheme, and only has a difference in precision compared with the scheme construction model.
Specifically, step B200 includes the following steps C100-C600:
step C100, inputting the functional requirement sample into a preset model to be trained to obtain an initial prediction form construction scheme;
in this embodiment, the device inputs the functional requirement sample to a preset model to be trained to obtain an initial prediction form construction scheme, where the model to be trained is a preset model with a basic processing functional requirement sample and predicts a form construction scheme, and the initial prediction form construction scheme is a form construction scheme in which the model to be trained predicts the functional requirement sample.
Step C200, determining module fitness evaluation of the initial prediction form construction scheme;
in this embodiment, the apparatus determines a module fitness evaluation of the initial prediction form construction scheme, where the form construction scheme is a scheme including combination information of various functional components, and the component fitness between the various functional components is obtained according to expert experience or test combination data, for example, the fitness evaluation is 0-1, the fitness of the component A1 and the component B2 is 0.4, and the fitness of the component A1 and the component B1 is 0.5.
Specifically, the step C200 includes the following steps C210-C240:
step C210, determining functional components in the initial predictive form construction scheme;
in this embodiment, the apparatus determines a functional component in the initial prediction form construction scheme, for example, the initial prediction form construction scheme includes components A1, B2, and C1, and then the functional component is the component A1, B2, and C1.
Step C220, determining connection information among the functional components and overall list information;
in this embodiment, the device determines connection information between the functional components and overall form information, for example, the initial prediction form construction scheme includes components A1, B2, and C1, where A1 is connected with B1, B1 is connected with C1, then connection information between the functional components is A1 and B1 connection, B1 is connected with C1, and overall form information is A1, B2, and C1 connection.
Step C230, respectively carrying out adaptation degree evaluation on the connection information between the functional components and the whole form information to obtain connection component adaptation degree evaluation and whole form adaptation degree evaluation;
in this embodiment, the device performs the fitness evaluation on the connection information between the functional components and the overall form information to obtain a connection component fitness evaluation and an overall form fitness evaluation, for example, the initial prediction form construction scheme includes components A1, B2, C1, A1 and B1 connected, the connection component fitness evaluation is 0.3, B1 and C1 connected, the connection component fitness evaluation is 0.4, and the overall form fitness evaluation of a connection of A1, B2, C1 is 0.7.
And step C240, calculating the component fitness evaluation of the initial prediction form construction scheme based on the connection component fitness evaluation and the overall form fitness evaluation.
In this embodiment, the device calculates, based on the connection component fitness evaluation and the overall form fitness evaluation, a component fitness evaluation of the initial prediction form construction scheme, for example, the initial prediction form construction scheme includes components A1, B2, C1, A1 being connected with B1, the connection component fitness evaluation being 0.3, B1 being connected with C1, the connection component fitness evaluation being 0.4, and the overall form fitness evaluation being 0.7, the component fitness evaluation of the initial prediction form construction scheme being added to 1.4.
Step C300, determining a target prediction form construction scheme based on the component fitness evaluation and the initial prediction form construction scheme;
in this embodiment, the apparatus determines a target predictive form construction scheme based on the component fitness evaluation and the initial predictive form construction scheme.
Specifically, the step C300 includes the following steps C310-C330:
step C310, judging whether the assembly fitness evaluation is larger than or equal to a preset fitness evaluation threshold value;
in this embodiment, the device determines whether the component fitness evaluation is greater than or equal to a preset fitness evaluation threshold, for example, the component fitness evaluation of the initial prediction form construction scheme is 1.4, and the preset fitness evaluation threshold is 1.5, where the component fitness evaluation is less than the preset fitness evaluation threshold.
And step C320, if the component fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction form construction scheme as a target prediction form construction scheme.
In this embodiment, if the component fitness evaluation is greater than or equal to the fitness evaluation threshold, determining the current initial prediction form construction scheme as a target prediction form construction scheme.
And step C330, if the component 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 form construction scheme and the component fitness evaluation of the initial prediction form construction scheme until the component fitness evaluation is larger than or equal to the fitness evaluation threshold, and determining the current initial prediction form construction scheme as a target prediction form construction scheme.
Step C400, performing difference calculation on the target prediction form construction scheme and the form 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 form construction scheme and the form 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 C500, 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 C600, 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 form construction scheme and a component adaptation degree evaluation step of the initial prediction form 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 precision 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 form construction scheme and a component fitness evaluation step of the initial prediction form construction scheme is returned until the training error result meets the error standard indicated by the preset error threshold range, and 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.
Step B300, obtaining the user's demand for the best adjustment;
in this embodiment, the device obtains the user' S adjustment requirement, and the above step S100 is referred to, and will not be described herein.
Step B400, determining a form construction scheme based on the adjustment requirement;
step B500, inputting the requirement of the adjustment to a preset scheme construction model, and carrying out requirement analysis on the requirement of the adjustment based on the scheme construction model to obtain a form construction scheme;
the scheme construction model is a form construction scheme label based on a functional requirement sample and the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme construction model meeting the precision condition.
Step B600, selecting a corresponding target component from a preset functional component library based on the form construction scheme;
in this embodiment, the device selects a corresponding target component from a preset functional component library based on the form construction scheme, where the device obtains the form construction scheme through a pre-trained scheme construction model, and the form construction scheme includes a target component that has the highest requirement for user adjustment and is optimally adapted as a whole, so that the selection of the target component is facilitated, and user experience is improved.
And step B700, constructing an due diligence questionnaire form based on the target component.
In this embodiment, the device constructs the due diligence questionnaire form based on the target component, specifically, the device constructs form chapters through ordered combination of the components to complete the form construction method, so that the construction efficiency of the due diligence questionnaire form is improved.
The application also provides a device for constructing the due diligence questionnaire, referring to fig. 3, the device for constructing the due diligence questionnaire comprises:
an obtaining module 10, configured to obtain an adjustment requirement of a user;
the selecting module 20 is configured to select a corresponding target component from a preset function component library based on the adjustment requirement, where the function component library includes each pre-developed function component, and the function component is a minimum building unit of a due diligence questionnaire;
a construction module 30, configured to construct an due diligence questionnaire form based on the target component.
Optionally, the selecting module 20 includes:
the configuration determining module is used for determining the configuration function and attribute configuration of the component based on the adjustment requirement, wherein the attribute configuration is used for realizing personalized control on the function and style of the component;
And the component selection module is used for selecting the target components corresponding to the configuration functions and the attribute configuration from a preset function component library.
Optionally, the device for constructing the due diligence questionnaire further includes:
the global variable construction module is used for constructing the target component to adopt global variables, wherein the global variables are used for realizing data sharing among components and unified management of authority and verification of the components;
optionally, the building module 30 includes:
a ranking determination module for determining a respective combined ranking based on the target component;
the chapter construction module is used for orderly combining the target components based on the combination ordering to construct corresponding form chapters;
and the form construction module is used for carrying out splicing combination of the combination ordering on the form chapters to construct a corresponding due diligence questionnaire form.
Optionally, the selecting module 20 includes:
the scheme determining module is used for determining a form construction scheme based on the adjustment requirement;
and the target component selecting module is used for selecting a corresponding target component from a preset functional component library based on the form construction scheme.
Optionally, the scheme determining module includes:
The analysis module is used for inputting the requirement of the adjustment to a preset scheme construction model, and carrying out requirement analysis on the requirement of the adjustment based on the scheme construction model to obtain a form construction scheme;
the scheme construction model is a form construction scheme label based on a functional requirement sample and the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme construction model meeting the precision condition.
Optionally, the device for constructing the due diligence questionnaire further includes:
the sample acquisition module is used for acquiring a function requirement sample and a form construction scheme label of the function requirement sample;
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 form construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the precision condition.
The specific implementation of the device for constructing the due diligence questionnaire is basically the same as the above embodiments of the method for constructing the due diligence questionnaire, and will not be repeated here.
Referring to fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware operating 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 device for building the due diligence questionnaire 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 device structure of the due diligence questionnaire shown in fig. 1 does not constitute a limitation on the construction device of the due diligence questionnaire, 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 an operating system, a network communication module, and a program for constructing a due diligence questionnaire. The operating system is a program that manages and controls the hardware and software resources of the building device of the due diligence questionnaire, supporting the building of the due diligence questionnaire and the running of other software and/or programs. The network communication module is used to enable communication between components within the memory 1005 and other hardware and software in the system for building the due diligence questionnaire.
In the device for building a due diligence questionnaire shown in fig. 1, the processor 1001 is configured to execute a program for building a due diligence questionnaire stored in the memory 1005, to implement the steps of the method for building a due diligence questionnaire described in any one of the above.
The specific implementation mode of the device for constructing the due diligence questionnaire is basically the same as the above embodiments of the method for constructing the due diligence questionnaire, and is not repeated here.
The present application also provides a storage medium, where a program for implementing a method for constructing a due diligence questionnaire is stored on the storage medium, where the program for implementing a method for constructing a due diligence questionnaire is executed by a processor to implement a method for constructing a due diligence questionnaire as follows:
acquiring the demand of the user for the adjustment;
based on the adjustment requirement, selecting a corresponding target component from a preset functional component library, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of an due-job questionnaire list;
and constructing a due diligence questionnaire form based on the target component.
Optionally, the step of selecting the corresponding target component from the preset functional component library based on the adjustment requirement includes:
determining configuration functions and attribute configuration of the components based on the adjustment requirements, wherein the attribute configuration is used for realizing personalized control of the functions and styles of the components;
and selecting a target component corresponding to the configuration function and the attribute configuration from a preset function component library.
Optionally, after the step of selecting the corresponding target component from the preset functional component library based on the requirement for adjustment, the method includes:
The target component is constructed by adopting a global variable, wherein the global variable is used for realizing the unified management of the authority and verification of the components;
the step of constructing the due diligence questionnaire form based on the target component comprises the following steps:
and constructing a due diligence questionnaire form based on the target component and the global variable.
Optionally, the step of constructing a due diligence questionnaire based on the target component includes:
determining a respective combined ranking based on the target component;
based on the combination ordering, orderly combining the target components to construct corresponding form chapters;
and performing splicing combination of the combination ordering on the form chapters to construct a corresponding due diligence questionnaire.
Optionally, the step of selecting the corresponding target component from the preset functional component library based on the adjustment requirement includes:
determining a form construction scheme based on the demand for the adjustment;
and selecting a corresponding target component from a preset functional component library based on the form construction scheme.
Optionally, the step of determining a form construction scheme based on the requirement of the adjustment includes:
Inputting the adjustment requirement to a preset scheme construction model, and carrying out requirement analysis on the adjustment requirement based on the scheme construction model to obtain a form construction scheme;
the scheme construction model is a form construction scheme label based on a functional requirement sample and the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme construction model meeting the precision condition.
Optionally, the step of inputting the requirement for adjustment to a preset scheme building model, and performing requirement analysis on the requirement for adjustment based on the scheme building model to obtain a form building scheme is preceded by the steps of:
acquiring a function requirement sample and a form 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 a form construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the accuracy condition.
The specific implementation manner of the storage medium of the present application is basically the same as the above embodiments of the method for constructing the due diligence questionnaire, and will not be repeated here.
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method of building a due diligence questionnaire described above.
The specific implementation manner of the computer program product of the present application is basically the same as the above-mentioned embodiments of the method for constructing the due diligence questionnaire, and will not be repeated here.
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 the purpose of description, and do not represent the 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 (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising 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 according to 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 application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The method for constructing the due diligence questionnaire list is characterized by comprising the following steps of:
acquiring the demand of the user for the adjustment;
based on the adjustment requirement, selecting a corresponding target component from a preset functional component library, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of an due-job questionnaire list;
and constructing a due diligence questionnaire form based on the target component.
2. The method of claim 1, wherein the step of selecting the corresponding target component from the preset library of functional components based on the adjustment requirement comprises:
determining configuration functions and attribute configuration of the components based on the adjustment requirements, wherein the attribute configuration is used for realizing personalized control of the functions and styles of the components;
And selecting a target component corresponding to the configuration function and the attribute configuration from a preset function component library.
3. The method for building an due diligence questionnaire according to claim 1, wherein after the step of selecting a corresponding target component from a preset functional component library based on the adjustment requirement, the method comprises:
the target component is constructed by adopting a global variable, wherein the global variable is used for realizing the unified management of the authority and verification of the components;
the step of constructing the due diligence questionnaire form based on the target component comprises the following steps:
and constructing a due diligence questionnaire form based on the target component and the global variable.
4. The method of claim 1, wherein the step of constructing the due diligence questionnaire based on the target component comprises:
determining a respective combined ranking based on the target component;
based on the combination ordering, orderly combining the target components to construct corresponding form chapters;
and performing splicing combination of the combination ordering on the form chapters to construct a corresponding due diligence questionnaire.
5. The method of claim 1, wherein the step of selecting the corresponding target component from the preset library of functional components based on the adjustment requirement comprises:
determining a form construction scheme based on the demand for the adjustment;
and selecting a corresponding target component from a preset functional component library based on the form construction scheme.
6. The method of building an due diligence questionnaire as claimed in claim 5, wherein said step of determining a form building scheme based on said demand for said adjustment comprises:
inputting the adjustment requirement to a preset scheme construction model, and carrying out requirement analysis on the adjustment requirement based on the scheme construction model to obtain a form construction scheme;
the scheme construction model is a form construction scheme label based on a functional requirement sample and the functional requirement sample, and iterative training is carried out on a preset model to be trained to obtain the scheme construction model meeting the precision condition.
7. The method for building an due diligence questionnaire according to claim 5, wherein the step of inputting the demand for adjustment to a preset solution building model, performing demand analysis on the demand for adjustment based on the solution building model, and obtaining a form building solution, comprises:
Acquiring a function requirement sample and a form 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 a form construction scheme label of the functional requirement sample to obtain a scheme construction model meeting the accuracy condition.
8. The utility model provides a construction device of due diligence questionnaire list, its characterized in that, the construction device of due diligence questionnaire list includes:
the acquisition module is used for acquiring the adjustment requirement of the user;
the selecting module is used for selecting corresponding target components from a preset functional component library based on the adjustment requirement, wherein the functional component library comprises various pre-developed functional components, and the functional components are minimum building units of a due diligence questionnaire;
and the construction module is used for constructing the due diligence questionnaire form based on the target component.
9. A device for building a due diligence questionnaire, the device comprising: a memory, a processor and a program stored on the memory for implementing the method of constructing the due diligence questionnaire,
the memory is used for storing a program for realizing a construction method of the due-job questionnaire list;
The processor is configured to execute a program implementing the method of building a due diligence questionnaire to implement the steps of the method of building a due diligence questionnaire as claimed in any one of claims 1 to 7.
10. A storage medium having stored thereon a program for implementing a method of constructing a due diligence questionnaire, the program for implementing a method of constructing a due diligence questionnaire being executed by a processor to implement the steps of a method of constructing a due diligence questionnaire as claimed in any one of claims 1 to 7.
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| CN202310960389.3A CN116932553A (en) | 2023-07-31 | 2023-07-31 | Method, device, equipment and storage medium for constructing due-job questionnaire list |
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| CN202310960389.3A CN116932553A (en) | 2023-07-31 | 2023-07-31 | Method, device, equipment and storage medium for constructing due-job questionnaire list |
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