CN116882787A - Project declaration switching method, server and storage medium - Google Patents
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Abstract
The embodiment of the application discloses a switching method, a server and a storage medium for project declaration, which are used for timely and effectively screening recommended and switched declaration projects under a policy change environment and improving the stability of enterprise scientific research project declaration. The method of the embodiment of the application comprises the following steps: responding to an item display instruction which is sent by electronic equipment and contains target item information, and sending corresponding first item information to the electronic equipment; after the first policy is canceled in the policy database is monitored, inputting the first item information into the trained science-created GPT large model to obtain second item information corresponding to the target scientific research item; and sending the second item information to the electronic equipment. According to the project declaration switching method provided by the embodiment of the application, the accuracy and timeliness of project switching are optimized, the real-time planning of the scientific research declaration direction of an enterprise is realized, and the core competitiveness of the enterprise is improved.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method, a server, and a storage medium for switching project declarations.
Background
With the development of science and technology and economy, the population of small and medium enterprises is increasingly strong. The scientific research project declaration according to the policy is an important strategic decision of the enterprise, and a large amount of manpower and material resources of the enterprise need to be called.
However, since the policies are time-efficient, the policies may be adjusted based on specific situations, so that the projects that the enterprise invests a lot of manpower and material resources cannot be declared, which greatly influences the enthusiasm of the enterprise to conduct scientific research innovation.
Disclosure of Invention
The application provides a switching method, a server and a storage medium for project declaration, which can provide proper declaration project direction for enterprises according to scientific research policies, and further improve the stability of the declaration of the scientific research projects of the enterprises by effectively screening recommended and switched declaration projects in time when the policies change.
In a first aspect, the present application provides a method for switching project declarations, the method comprising: responding to an item display instruction which is sent by electronic equipment and contains target item information, and sending corresponding first item information to the electronic equipment so as to enable the electronic equipment to display the first item information; the first project information comprises a first policy, a current progress and a first reporting success rate according to which the corresponding first project is reported; after the first policy is canceled in the policy database is monitored, inputting the first project information into the trained science-created GPT large model to obtain second project information corresponding to the target project information; the second item information comprises a second policy in a valid state in the policy database, a post-switching progress and a second reporting success rate; and sending the second item information to the electronic equipment so that the electronic equipment displays the second item information.
In the embodiment, the real-time monitoring of the policy is realized, and the second item information replacing the original first item information is intelligently screened and recommended after the policy is canceled. The timeliness and the accuracy of project switching are guaranteed, so that enterprise users can timely correct project directions according to policy changes, the stability of project declaration is further improved, and the core competitiveness of enterprises in technological innovation is improved.
With reference to some embodiments of the first aspect, in some embodiments, after detecting that the first policy in the policy database is cancelled, inputting the first project information into the trained science-created GPT big model to obtain second project information corresponding to the target project information, including: after the first policy is canceled in the policy database is monitored, inputting the first project information into the trained science-created GPT large model to obtain a plurality of alternative project information; the alternative item information comprises item information with similarity with the first item information reaching a specified threshold; obtaining the similarity between the candidate item information and the first item information from the science-created GPT large model; and determining the candidate item information with the highest similarity with the first item information in the candidate item information as second item information to be switched.
In the above embodiment, when the selection of the second item information is performed, consideration is made in terms of similarity with the first item information, so that the second item information can be closer to the first item information, and the two items can be inherited and converted from each other. The condition that the project is started from the beginning after the project is switched is avoided, project development efficiency is improved, and input energy and resources are saved.
With reference to some embodiments of the first aspect, in some embodiments, after detecting that the first policy in the policy database is cancelled, inputting the first project information into the trained science-created GPT big model to obtain second project information corresponding to the target project information, including: after the first policy is canceled in the policy database is monitored, inputting the first project information into the trained science-created GPT large model to obtain a plurality of alternative project information; the alternative item information comprises item information of which the reporting success rate reaches a specified threshold; acquiring declaration success rates of the multiple candidate item information from the science-created GPT large model; and determining the candidate item information with the highest reporting success rate from the candidate item information as second item information to be switched.
In the above embodiment, when the second item information is selected, consideration is made in terms of the success rate of reporting the item, and the probability of success of reporting the item after switching is ensured. Further, the situation of resource waste caused by more project investment but failure declaration is avoided, and the core competitiveness of enterprises is improved.
With reference to some embodiments of the first aspect, in some embodiments, after detecting that the first policy in the policy database is cancelled, inputting the first project information into the trained science-created GPT big model to obtain second project information corresponding to the target project information, including: after the first policy is canceled in the policy database is monitored, inputting the first project information into the trained science-created GPT large model to obtain a plurality of alternative project information; the alternative item information comprises item information that the item yield ratio reaches a specified threshold; acquiring item output ratios of the plurality of candidate item information from the science-created GPT large model; and determining the candidate item information with the highest item yield ratio in the candidate item information as second item information to be switched.
In the above embodiment, when the second item information is selected, consideration is made in terms of the item yield ratio, so that low input and high output of the item are ensured. And further, the fund investment experience of enterprise users on the scientific and creative project declaration is optimized, and the enthusiasm of scientific and technological innovation of the enterprise users is prevented from being influenced by less return.
With reference to some embodiments of the first aspect, in some embodiments, after sending the second item information to the electronic device, the method further includes: responding to a project update instruction sent by the electronic equipment, and transferring the first project information to a project recovery database; the project recovery database is used for storing project information which cannot be continuously declared due to policy change; and deleting the first item information in the item recycling database after the progress of the second item information is developed to a designated stage.
In the above embodiment, the original first item information is moved to the recycle bin after the item is switched, and deleted after the specified stage. The resource space occupied by the first project information is recovered, the normal progress of the second project information is ensured, and the project switching experience of enterprise users is optimized.
With reference to some embodiments of the first aspect, in some embodiments, after transferring the first item information into an item recycling database, before the server deletes the first item information in the item recycling database, further includes: after the first policy reissuing is monitored, calling out the first item information in the item recycling database and sending the first item information to the electronic equipment.
In the above embodiment, after the first policy is reissued, the first project information is recovered in time, so that the recovery and utilization of the project information are ensured. The resource waste caused by frequent project switching due to policy change is avoided, and the enthusiasm of enterprise user scientific research project reporting is improved.
With reference to some embodiments of the first aspect, in some embodiments, after sending corresponding first item information to the electronic device in response to an item display instruction sent by the electronic device and including target item information, the method further includes: determining the estimated completion time of the project according to user data comprising the progress efficiency of the user project sent by the electronic equipment; the predicted completion time is sent to the electronic device.
In the above-described embodiment, the project completion time is predicted in real time by the user data. The method and the system enable the user to have clearer cognition on the overall planning direction of project declaration, enable targets of enterprise users on project progress to be clearer, and improve enthusiasm of the enterprise users.
In a second aspect, the present application provides a server comprising: the instruction receiving module is used for receiving an item display instruction which is sent by the electronic equipment and contains target item information; the information updating module is used for inputting the first project information into the trained science-created GPT large model after detecting that the first policy in the policy database is cancelled, so as to obtain second project information corresponding to the target project information; and the information sending module is used for sending the first item information or the second item information to the electronic equipment.
In a third aspect, an embodiment of the present application provides a server, including: one or more processors and memory; the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors call to cause the server to perform the method as described in the first aspect and any possible implementation of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a server, cause the server to perform a method as described in the first aspect and any possible implementation of the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer readable storage medium comprising instructions which, when executed on a server, cause the server to perform a method as described in the first aspect and any possible implementation manner of the first aspect.
It will be appreciated that the servers provided in the second aspect, the third aspect, the computer program product provided in the fourth aspect and the computer storage medium provided in the fifth aspect are each configured to perform the method provided by the embodiment of the present application. Therefore, the advantages achieved by the method can be referred to as the advantages of the corresponding method, and will not be described herein.
The embodiment of the application provides one or more technical schemes, which at least have the following technical effects or advantages:
1. due to the adoption of the scheme of real-time detection of policies and timely switching of corresponding projects, timeliness and accuracy are guaranteed in terms of project switching. The enterprise users can timely learn about the change of the related policies, and can switch the projects more simply and conveniently, so that the enthusiasm of the enterprise users in the project declaration aspect is improved, and the core competitiveness of the enterprise users in technological innovation is further improved;
2. the screening and determining of the information of the items to be switched are performed in terms of similarity, success rate and yield ratio, so that the diversity of enterprise users in item switching selection is ensured. The quality of related project information is further guaranteed, better service is provided for project declaration of enterprise users, and enthusiasm of the enterprise users in the process of reporting scientific and creative projects is improved;
3. because the space recovery of the original project information is adopted, whether the original project is called back is determined according to the actual situation. The policy is prevented from changing back, but the resource is lost due to project switching, so that the safety and efficiency of project switching are further ensured, and the project switching experience of enterprise users is improved.
Drawings
FIG. 1 is a schematic diagram of a scenario in which a declaration item is determined using an electronic device;
FIG. 2 is a schematic diagram of a scenario of related art item switching;
FIG. 3 is a schematic view of a scene of item switching according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of an item switching method according to an embodiment of the present application;
FIG. 5 is a schematic view of another item switch scenario provided by an embodiment of the present application;
FIG. 6 is a schematic flow chart of another item switching provided by an embodiment of the present application;
fig. 7 is a schematic structural diagram of a functional module of a server according to an embodiment of the present application;
fig. 8 is a schematic diagram of a physical device structure of a server according to an embodiment of the present application.
Detailed Description
The embodiment of the application discloses a switching method, a server and a storage medium for project declaration, which are used for improving the project declaration stability of enterprises.
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as, or by way of example, are used to denote examples, illustrations, or descriptions. Any embodiment or design described herein as, for example, or as illustrated by, one example, is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of words such as, or by way of example, is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term plurality means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms first and second are used for descriptive purposes only and are not to be interpreted as indicating or implying a relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining a first or second may explicitly or implicitly include one or more such feature. The terms including, comprising, having, and variations thereof are meant to encompass, but not be limited to, unless otherwise specifically emphasized.
The technical scheme provided by the application can be applied to screening recommendation and switching of the enterprise project by the server. Referring to fig. 1, a schematic view of a scenario in which an electronic device is used to determine a declaration item is shown.
In fig. 1, an enterprise user establishes a connection with a server through a network, and the server responds to a request of the enterprise user to acquire relevant content information from a database 1, a database 2 and a database 3 respectively and sends the relevant content information to the enterprise user. The content information comprises information of the current technological innovation policy, project application conditions of other enterprises and the like. The enterprise user can determine proper scientific research innovation reporting items according to the online policy information and the actual situation of the enterprise.
It should be noted that, an enterprise user refers to an enterprise-level user who needs to conduct a declaration of a scientific innovation project, and the user includes, but is not limited to, an individual subordinate to the enterprise, a team organization, a department, or the enterprise itself. For convenience of description, hereinafter, also referred to as user.
With the rapid development of science and technology, the benefit demands of various enterprises on scientific research innovation are increasing. And the benefit of the subsidy of the technological innovation of each middle and small enterprise depends on the related policy, and the direction needs to be adjusted in time after the related policy changes so as to achieve the best scientific research benefit. For example, in the practice of policies encouraging development of machining, the development of projects in machining is supported, and when the center of gravity of the policy is shifted to a high-precision instrument, the direction of the projects needs to be gradually moved to the high-precision instrument. Enterprises adapting to policy changes often have stronger vitality, so that it is seen that timely adaptive switching of project declaration directions is particularly important.
Switching the reporting direction of the project according to the change of the related policy is not easy, and in the related art, it is often required that the enterprise user pay attention to the change of the policy at any time. Fig. 2 is a schematic diagram of a related art project switching scenario.
In fig. 2, an enterprise user makes a query via an electronic device, on which is displayed a notification about a policy, which notifies a message of a policy change. After the enterprise user in fig. 2 inquires about the change of the scientific research policy related to the self enterprise declaration, the enterprise user further inquires about other similar policies, and performs project declaration direction planning of the self enterprise according to the policies.
The electronic device in the present application refers to a computer device capable of performing network communication services, such as mobile or non-mobile terminals, for example, mobile phones and computers. The electronic equipment can realize the functions of receiving, processing, sending and the like of information through network communication service, such as acquiring relevant policy information, project information and the like on a network.
And from the acquisition of policy change information to the analysis of other relevant policy directions to the decision of the switch direction of project declaration, a great deal of time and effort are required for enterprise users. In some cases, after a large amount of manpower and material resources are input, the enterprise user still cannot determine the proper project switching direction, so that the enthusiasm of the enterprise user in the department creation reporting part is reduced. In fact, the input and output ratio of project declaration aspects is also an important ring of consideration for enterprise users.
For the scenario of the related art, in the process from the policy change information acquisition to the project switching, the timeliness and accuracy of the project switching cannot be ensured, and the risk of unnecessary resource waste is caused, so that the enthusiasm of the enterprise in the aspect is reduced. Obviously, the project switching method of the related technology cannot provide good project declaration input-output ecology for enterprises.
By adopting the project switching method provided by the application, the problem that an enterprise user cannot switch projects timely and effectively according to policy change can be effectively solved. Fig. 3 is a schematic view of a scene of switching items according to an embodiment of the present application.
In fig. 3, the enterprise user also uses the electronic device to query, except that the electronic device logs in to the network platform provided by the method, and the information returned on the network platform not only includes the policy change message, but also includes the new policy after change and the plan of the corresponding item, that is, the user easily obtains the appropriate switching item on the electronic device.
The screen of the electronic device in fig. 3 shows the relevant information interfaces including a hint of the original policy failure, the newly recommended policy and item information of the item. The interface also provides a selection space for the user, the user can click to change one, and other project directions are switched, and the projects are similar projects screened on the basis of the one declaration project, so that the stability of enterprise user project declaration is ensured. For example, the machine A1 is the main item for reporting, and after the center of gravity of the related policy item is shifted, the application can provide item screening recommendation of the machine A2 and A3 which are similar to the machine A1 and adapt to other policies, so as to reduce the loss of item switching.
The above scenario is easily seen, by using the method provided by the embodiment, the direction of the policy change can be rapidly mastered, and the related measures are taken, namely, the direction switching of the reporting item is timely and effectively carried out, so that the enterprise is suitable for the policy change and has stronger competitiveness.
In combination with the above scenario, the following describes an item declaration switching method in the embodiment of the present application. Referring to fig. 4, a flow chart of switching items according to an embodiment of the application is shown.
S401, responding to an item display instruction which is sent by electronic equipment and contains target item information, and sending corresponding first item information to the electronic equipment so as to enable the electronic equipment to display the first item information;
the method provides a project visualization scheme for enterprise users, and the users can view corresponding project information through electronic equipment. Specifically, the electronic device provides an online platform for displaying information for the user, and the user can request to display project information on the online platform. The user's presentation request triggers an item display instruction for the electronic device, which is sent to the server. The instruction contains target item information, wherein the target item information refers to item information which is input by a user in advance or intelligently recommended by an online platform according to enterprise information, and indicates the content and the direction of a current scientific research declaration item of the user.
After receiving the item display instruction of the electronic device, the server first determines target item information. After determining the target project information, the server determines a first project of the current enterprise user in the project database, wherein the first project refers to a project which is determined by the user according to the target project information and has been planned and declared. The server generates first project information according to the first project, wherein the first project information comprises information such as a first policy, a current progress, a first reporting success rate and the like according to which the first project is reported. The server sends the first item information back to the electronic device.
The first policy is an information set including parameters of a policy name, a policy issue time, policy contents, a policy subsidy, and the like. The set of information is typically stored in a policy database of the server having a plurality of policies related to the target research information including the first policy.
The current progress refers to the project development progress of the current user, and the progress is determined by the server according to the progress condition of related patents in the project declared by the user.
The first reporting success rate refers to the passing success rate of the related policy project reporting which is predicted by the server based on the project direction selected by the user, and the project successful passing can obtain corresponding rewards or economic subsidies.
After the electronic equipment receives the first item information returned by the server, the information is displayed for the user to check. Thus, the user can easily view the first item information on the electronic device.
S402, after the fact that a first policy in a policy database is canceled is monitored, inputting the first project information into a trained science-created GPT large model to obtain second project information corresponding to the target project information;
the first item information, i.e. the corresponding first policy, is determined. The server monitors the first policy in a manner including information monitoring of newly issued messages of each relevant policy website to determine whether the first policy is changed or cancelled. After detecting that the first policy is canceled, the server determines a subsequent item switch.
The server inputs the first item information into the trained science-created GPT large model. The large model of the science-created GPT is an AI training large model which is trained by using a large amount of science-created related policy data, project data and enterprise data, can precisely match the policies and projects, and can simultaneously make prediction planning on related projects. The large scientific GPT model can quickly search relevant policy information and give out project information suitable for the existing policy; the science-created GPT large model can accurately evaluate the project progress of the enterprise according to the progress of the related science-created research and development of the enterprise, the development progress of the proprietary files in the project and other information; meanwhile, the large scientific and creative GPT model can accurately predict the reporting success rate of the project according to the reporting passing data of the related project file.
After receiving the first item information, the large scientific and invasive GPT model can be matched with the corresponding second item information rapidly. The second item information includes a second policy in a valid state in the policy database, a post-switch progress and a second reporting success rate. The second project information is more suitable for the current policy direction than the first project information, and also more utilizes the development of the current enterprise users.
S403, the second item information is sent to the electronic equipment, so that the electronic equipment displays the second item information.
And after the server acquires the second item information from the science-created GPT big model, the second item information is sent to the electronic equipment. And after the electronic equipment receives the second item information, reminding the user of carrying out item switching. As shown in fig. 3, a presentation scenario of an information interface of an electronic device is shown. In the figure, it can be seen that the original first policy is prompted on the interface of the electronic device to fail, and meanwhile, the interface also provides a second policy and a second item to be switched.
Through this step, the enterprise user can receive the policy cancellation message in time. Meanwhile, the electronic equipment intelligently and automatically performs screening recommendation of related switching projects, and a user does not need to spend a great deal of effort and time planning to perform next policy and project.
It can be appreciated that compared with project switching in the related art, the embodiment of the application uses the science-created GPT large model, can quickly and accurately respond to the requirement of project switching of enterprise users, so that enterprise users can timely and accurately determine the next science-created direction planning when the policies change, avoid the risk that the science-created project cannot be declared, remove uncertain factors in the growth of enterprises, provide a foundation for the development of enterprises, and further improve the core competitiveness of the enterprises.
The foregoing is a simple scenario and a corresponding embodiment of the present application, in which in actual work, different enterprise users have different requirements for the switching direction of the project, for example, the success rate of reporting the project is emphasized by the enterprise, the progress and efficiency of the project are emphasized by the enterprise, and the return rate of the project is emphasized by the enterprise. For these cases, the present application provides some of the embodiments described below.
Another scenario regarding these embodiments is first described below.
Referring to fig. 5, a schematic view of another item switching scenario provided in an embodiment of the present application is shown in a display interface diagram of an electronic device. In the figures, (a), (b), (c) and (d) are respectively interface display diagrams of the electronic device at each stage in the item switching step.
When the item is operating normally, corresponding to the interface shown in fig. 5 (a), the policy, item, progress and predicted completion time related to the item are displayed on the electronic device. User a views the project progress at this interface, with 40% of the current project progress. It should be noted that, the update of the project progress may be manually input by the user a, or may be automatically completed by the server monitoring the patent application information corresponding to the enterprise of the user a.
And the next day, the user a has popped up an item selection prompt on the interface, corresponding to the interface shown in (b) of fig. 5, at which time the server monitors that the first policy has been disabled, prompting the user a to make a new item selection. For the selection of new items, the server gives three choices of similarity, success rate and return rate, and the user A selects the option with high success rate.
It should be noted that, the similarity refers to the similarity between the new project and the original project in terms of project division, for example, when the same patent can be applied to the new project and the original project in a planning manner, it is determined that the two projects have similarity. Correspondingly, the more the same patent numbers of the two project programmable applications are, the higher the similarity is; whereas the fewer the same number of patents the two project programmable applications are, the lower the similarity is. The specific numerical data of the degree of identity can be obtained by dividing the same patent number by the total patent number of the new project.
The success rate refers to the success rate of reporting a new project, and is obtained by counting the passing probability of an enterprise reporting the project for a science-created GPT large model. In some embodiments, the science fiction GPT big model estimates the science fiction ability of the enterprise user, which is obtained according to the patent declaration quantity and passing rate statistics of the enterprise user in the project direction. After the science-creating capability of the enterprise user is obtained, the science-creating GPT large model can calculate the success rate of new project declaration of the enterprise with the same science-creating capability, so that the success rate is more accurate.
The return rate refers to the benefit output ratio after the new project is declared. And calculating the time required by reporting a new project according to the scientific and invasive capability of the enterprise user by using the large scientific and invasive GPT model, fitting the fund gain and the passing rate of the project to obtain the gain of reporting the new project, and finally calculating the corresponding benefit output ratio by fitting the time and the gain. The higher the benefit-to-yield ratio of the new project, the higher the benefit in the fixed time; the lower the benefit-to-yield ratio of the new project, the lower the benefit over a fixed time. In addition, due to uncertainty of success of project declaration, the rate of return also has certain probability.
Correspondingly, in the interface shown in fig. 5 (c), a new item recommending switching is presented. The interface is easy to see, the new project is based on a new policy, has 53% similarity with the original project, and has 73% reporting success rate and high return rate. The user a clicks on the determination that the electronic device displays the switched item interface shown in fig. 5 (d), on which it can be seen that the new item inherits 20% of the item progress, while also displaying the predicted completion time. Based on the new project, the user A quickly re-plans the scientific-creation reporting direction of the enterprise.
The method steps provided by the present application are further described below in conjunction with the above scenario. Fig. 6 is a schematic flow chart of another item switching method according to an embodiment of the application.
S601, responding to an item display instruction which is sent by electronic equipment and contains target item information, and sending corresponding first item information to the electronic equipment so as to enable the electronic equipment to display the first item information;
the details of this step can be referred to as step S401, and will be described in the following only briefly.
The electronic device provides an online platform for information presentation for the user, and the user can request to present project information on the online platform. The user's presentation request triggers an item display instruction for the electronic device, which is sent to the server. And after receiving the project display instruction of the electronic equipment, the server determines to obtain target project information. The server then determines first project information for the current enterprise user in the project database and sends the first project information back to the electronic device.
The electronic device receives the first item information returned by the server, and displays the information for viewing by the user, as shown in the interface (a) in fig. 5.
S602, after a first policy in a policy database is monitored to be cancelled, inputting the first project information into a trained science-created GPT large model to obtain a plurality of candidate project information;
referring to the explanation in step S402, the server determines and monitors the first policy, and thus determines whether the first policy is changed or canceled. After monitoring that the first policy is cancelled, the server inputs first project information into the trained science-created GPT big model.
After receiving the first item information, the large scientific and invasive GPT model can rapidly match a plurality of corresponding candidate item information, wherein parameters such as similarity, reporting success rate, yield ratio and the like of the candidate item information and the first item are different. According to different parameter requirements of enterprise users, items are screened and determined according to different parameters in the following steps S603, S604 and S605 respectively.
S603, determining second item information according to the similarity;
after obtaining the plurality of candidate item information, in response to the option selection with high similarity in fig. 5 (b), the server screens out the plurality of item information with highest similarity with the first item for display. The item information with the highest similarity is displayed first, and in response to the selection of the alternative option in fig. 5 (c), the interface displays other item information with high similarity. In response to the determined option selection in fig. 5 (c), the server determines second item information.
S604, determining second item information according to the reporting success rate;
after obtaining the plurality of candidate item information, in response to the option selection with high success rate in fig. 5 (b), the server screens out the item information with the highest reporting success rate for display. The item information with the highest reporting success rate is displayed first, and in response to the option selection of the alternative in fig. 5 (c), the interface displays other item information with high success rate. In response to the determined option selection in fig. 5 (c), the server determines second item information.
S605, determining second project information according to the project output ratio;
after obtaining the plurality of candidate item information, in response to the option selection with high return rate in fig. 5 (b), the server screens out the item information with highest yield ratio for display. The item information with the highest yield ratio is displayed first, and the interface displays other item information with high yield ratio in response to the option selection of the alternative in (c) in fig. 5. In response to the determined option selection in fig. 5 (c), the server determines second item information.
S606, the second item information is sent to the electronic equipment, so that the electronic equipment displays the second item information;
The content of this step may refer to step S403, where the server determines the second item information according to the science-created GPT big model and then sends the second item information to the electronic device. After receiving the second item information, the electronic device presents the second item information on the electronic device as in the interface shown in fig. 5 (d).
S607, responding to a project update instruction sent by the electronic equipment, and transferring the first project information to a project recovery database;
after the user determines to replace the project, the electronic device displays information related to the second project, and meanwhile, the electronic device sends a project update instruction. Considering the recycling of the storage space, the server will respond to the project update instruction to transfer the first project information into the recycling database, i.e. all relevant information of the first project will be recycled.
And S608, deleting the first item information in the item recycling database after the progress of the second item information is developed to a specified stage.
After transferring the first item information to the recovery database, the server detects the progress of the second item information. And after the progress of the second item information reaches a designated stage, the server deletes and cleans the first item information in the recovery database. The specified stage is a stage in which the progress of the second item information has completely exceeded the progress of the first item information, i.e., a stage in which the second item information has completely replaced the first item information.
In some embodiments, the first policy associated with the first item information may be reissued, at which point the server checks whether the first item information in the recovery database is deleted. If the first item information is deleted, the second item information is completely replaced by the first item information, and the first item information is not necessary to backtrack; if the first item information is not deleted, the first item information is more than the second item information data, and the data of the first item information is called from the recovery database and sent to the electronic device. After receiving the first item information, the electronic device switches back to the first item information again.
In some embodiments, the server may make predictions of project completion times. The server acquires user data, wherein the user data comprises the progress of relevant project information of the user, and further, the development efficiency of the project is determined according to the progress updating condition. And finally, predicting the final project completion time by the server according to the project total amount and the development efficiency, and sending the project completion time to the electronic equipment for display.
It can be understood that when the related policy is changed, the method for switching items provided in the above embodiment can recommend corresponding switching items according to the selection of the user, and allow the user more selectable space on the item switching. Meanwhile, the possibility that the policy is reissued is considered, when the policy is reissued, the value of the first item is judged through the information data, whether the first item has the backtracking necessity is judged, the selection with higher efficiency and better benefit is provided for the user, and the stability of the user reporting item is increased.
The server in the embodiment of the present application is described below from the viewpoint of a module. Fig. 7 is a schematic structural diagram of a functional module of a server according to an embodiment of the present application.
The server includes:
an instruction receiving module 701, configured to receive an item display instruction including target item information sent by an electronic device;
the information updating module 702 is configured to, after detecting that the first policy in the policy database is cancelled, input the first project information into the trained science-created GPT big model to obtain second project information corresponding to the target project information;
an information sending module 703, configured to send the first item information or the second item information to the electronic device.
In some embodiments, the information update module 702 specifically includes:
an alternative obtaining unit 7021, configured to, after detecting that the first policy in the policy database is cancelled, input the first item information into the trained science-created GPT big model to obtain a plurality of alternative item information; the alternative item information comprises item information with similarity with the first item information, or reporting success rate, or item yield ratio reaching a specified threshold;
a similarity obtaining unit 7022, configured to obtain similarities between the plurality of candidate item information and the first item information from the science-created GPT big model;
And/or a success rate obtaining unit 7023, configured to obtain declared success rates of the plurality of candidate item information from the science-created GPT big model;
and/or a yield ratio obtaining unit 7024, configured to obtain item yield ratios of the plurality of candidate item information from the large scientific and invasive GPT model;
the information determining unit 7025 is configured to determine, as the second item information to be switched, alternative item information having the highest similarity with the first item information, or the highest reporting success rate, or the highest item yield ratio, among the plurality of alternative item information.
In some embodiments, the server further comprises:
an information recycling module 704, configured to respond to an item update instruction sent by the electronic device, and transfer the first item information to an item recycling database; the project recovery database is used for storing project information which cannot be continuously declared due to policy change;
the information deleting module 705 is configured to delete the first item information in the item recycling database after the progress of the second item information is performed to a specified stage.
In some embodiments, the server further comprises:
and the information callback module 706 is configured to call out the first item information in the item recycling database and send the first item information to the electronic device after monitoring that the first policy is reissued.
In some embodiments, the server further comprises:
a time prediction module 707 is configured to determine an estimated completion time of the item according to user data including a progress efficiency of the user item sent by the electronic device.
The server in the embodiment of the present application is described above from the point of view of the modularized functional entity, and the server in the embodiment of the present application is described below from the point of view of hardware processing, please refer to fig. 8, which is a schematic diagram of the entity device of one server provided in the embodiment of the present application.
It should be noted that the structure of the server shown in fig. 8 is only an example, and should not limit the functions and the application scope of the embodiments of the present application.
As shown in fig. 8, the server includes a central processing unit (Central Processing Unit, CPU) 801 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 802 or a program loaded from a storage section 808 into a random access Memory (Random Access Memory, RAM) 803. In the RAM 803, various programs and data required for system operation are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other by a bus 804. An Input/Output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including mouse, keyboard keys, etc.; an output section 807 including a liquid crystal display (Liquid Crystal Display, LCD), a speaker, and the like; a storage section 808 including a hard disk or the like; and a communication section 809 including a network interface card such as a LAN (Local Area Network ) card, modem, or the like. The communication section 809 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as needed so that a computer program read out therefrom is mounted into the storage section 808 as needed.
In particular, according to embodiments of the present invention, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 809, and/or installed from the removable media 811. When the computer program is executed by a Central Processing Unit (CPU) 801, various functions defined in the present invention are performed.
It should be noted that, the computer readable medium shown in the embodiments of the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Specifically, the server of the present embodiment includes a processor and a memory, and the memory stores a computer program, and when the computer program is executed by the processor, the method for measuring spectral information provided in the foregoing embodiment is implemented.
As another aspect, the present invention also provides a computer-readable storage medium, which may be contained in the server described in the above embodiment; or may exist alone without being assembled into the server. The storage medium carries one or more computer programs which, when executed by a processor of the server, cause the server to implement the methods provided in the embodiments described above.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the invention. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present invention.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A method for switching project declaration, which is applied to a server, and is characterized in that the method comprises the following steps:
the method comprises the steps that a server responds to an item display instruction which is sent by electronic equipment and contains target item information, and corresponding first item information is sent to the electronic equipment, so that the electronic equipment displays the first item information; the first project information comprises a first policy, a current progress and a first reporting success rate according to which the corresponding first project is reported;
after the server monitors that the first policy in the policy database is canceled, inputting the first project information into a trained science-created GPT large model to obtain second project information corresponding to the target project information; the second item information comprises a second policy in a valid state in the policy database, a post-switching progress and a second reporting success rate;
And the server sends the second item information to the electronic equipment so that the electronic equipment displays the second item information.
2. The method according to claim 1, wherein the server inputs the first project information into the trained science-created GPT big model after detecting that the first policy in the policy database is canceled, and obtains the second project information corresponding to the target project information, specifically comprising:
after the server monitors that the first policy in the policy database is canceled, inputting the first project information into a trained science-created GPT large model to obtain a plurality of alternative project information; the alternative item information comprises item information with similarity with the first item information reaching a specified threshold;
the server acquires the similarity between the plurality of candidate item information and the first item information from the science-created GPT big model;
and the server determines the candidate item information with the highest similarity with the first item information in the plurality of candidate item information as second item information to be switched.
3. The method according to claim 1, wherein the server inputs the first project information into the trained science-created GPT big model after detecting that the first policy in the policy database is canceled, and obtains the second project information corresponding to the target project information, specifically comprising:
After the server monitors that the first policy in the policy database is canceled, inputting the first project information into a trained science-created GPT large model to obtain a plurality of alternative project information; the alternative item information comprises item information of which the reporting success rate reaches a specified threshold;
the server acquires the reporting success rate of the plurality of candidate item information from the scientific and invasive GPT large model;
and the server determines the alternative item information with the highest reporting success rate from the plurality of alternative item information as second item information to be switched.
4. The method according to claim 1, wherein the server inputs the first project information into the trained science-created GPT big model after detecting that the first policy in the policy database is canceled, and obtains the second project information corresponding to the target project information, specifically comprising:
after the server monitors that the first policy in the policy database is canceled, inputting the first project information into a trained science-created GPT large model to obtain a plurality of alternative project information; the alternative item information comprises item information that the item yield ratio reaches a specified threshold;
The server acquires the item output ratio of the plurality of candidate item information from the science-created GPT big model;
and the server determines that the candidate item information with the highest item yield ratio in the plurality of candidate item information is the second item information to be switched.
5. The method of claim 1, wherein after the server sends the second item information to the electronic device, the method further comprises:
the server responds to a project update instruction sent by the electronic equipment and transfers the first project information to a project recovery database; the project recovery database is used for storing project information which cannot be continuously declared due to policy change;
and deleting the first item information in the item recycling database after the progress of the second item information is developed to a designated stage by the server.
6. The method of claim 5, wherein after the server transfers the first item information into an item reclamation database, before the server deletes the first item information in the item reclamation database, the method further comprises:
And after monitoring that the first policy is reissued, the server calls out the first item information in the item recycling database and sends the first item information to the electronic equipment.
7. The method of claim 1, wherein after the server transmits the corresponding first item information to the electronic device in response to an item display instruction containing target item information transmitted by the electronic device, the method further comprises:
the server determines the estimated completion time of the project according to the user data comprising the progress efficiency of the user project sent by the electronic equipment;
the server sends the predicted completion time to the electronic device.
8. A server, the server comprising:
the instruction receiving module is used for receiving an item display instruction which is sent by the electronic equipment and contains target item information;
the information updating module is used for inputting the first project information into the trained science-created GPT large model after detecting that the first policy in the policy database is cancelled, so as to obtain the second project information corresponding to the target project information;
and the information sending module is used for sending the first item information or the second item information to the electronic equipment.
9. A server, the server comprising: one or more processors and memory; the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors invoke to cause the server to perform the method of any of claims 1-7.
10. A computer readable storage medium comprising instructions which, when run on a server, cause the server to perform the method of any of claims 1-7.
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| CN202310888302.6A CN116882787A (en) | 2023-07-18 | 2023-07-18 | Project declaration switching method, server and storage medium |
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| CN202310888302.6A CN116882787A (en) | 2023-07-18 | 2023-07-18 | Project declaration switching method, server and storage medium |
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