Statistical method, device and equipment for working hours in research and development stage of traditional Chinese medicine

Abstract

The invention provides a statistical method, device and equipment for working hours in a traditional Chinese medicine research and development stage, and relates to the technical field of medicine research and development project management. A statistical method for working hours in a traditional Chinese medicine research and development stage comprises the following steps: configuring project working hour templates corresponding to a plurality of research and development projects according to a preset research and development rule; optimizing the project man-hour template; generating man-hour statistical data of the user based on project man-hour data obtained through the optimized project man-hour template and common man-hour data obtained through a preset common man-hour template; and checking the man-hour statistical data to determine whether the man-hour statistical data is valid or not. According to the embodiment of the invention, the working efficiency and the management efficiency of the project can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of drug research and development project management, and specifically, to a statistical method, device and equipment for working hours in the research and development stage of traditional Chinese medicine. Background Art

[0002] The research and development of traditional Chinese medicine involves long-term research. In the past, the man-hours generated by the research and development of traditional Chinese medicine were all manually reported by filling out forms on a monthly basis. This method involves many intermediate links, a long duration, low efficiency, lack of controllability, and difficulty in traceability, and is clearly unable to adapt to the requirements of information-based work.

[0003] The inventor of this application found that each type of stage task in the development of traditional Chinese medicines is assigned to employees of different skill levels, and the time consumption is also different. Traditional working hours statistics do not form differentiated management and lead to unclear division of labor. Therefore, how to scientifically quantify the workload of drug development projects, improve the management efficiency and cost calculation of R&D projects, and maximize the enthusiasm and convenience of employees is an urgent problem to be solved in the development stage of traditional Chinese medicines. Summary of the invention

[0004] According to one aspect of the present application, a method for counting working hours in the research and development stage of traditional Chinese medicine is provided, comprising: configuring a project working hour template corresponding to each of a plurality of research and development projects according to preset research and development rules; optimizing the project working hour template; generating user working hour statistical data based on project working hour data obtained through the optimized project working hour template and ordinary working hour data obtained through a preset ordinary working hour template; and verifying the working hour statistical data to determine whether the working hour statistical data is valid.

[0005] According to some embodiments, according to preset R&D rules, project work time templates corresponding to multiple R&D projects are configured, including: determining the R&D stage of a current R&D project among multiple R&D projects; determining the standard work hours and user skill level corresponding to the R&D stage of the current R&D project according to preset R&D rules; and configuring the project work time template according to the standard work hours and user skill level.

[0006] According to some embodiments, the project working time template is optimized, including: obtaining historical effective working time data according to a preset ratio, the historical effective working time data including user self-assessment data, internal audit data, quality inspection data and external review data; extracting the actual working time data of users of different skill levels corresponding to the R&D stage of the current R&D project from the historical effective working time data; adjusting the standard working hours and user skill levels in the project working time template according to the actual working time data.

[0007] According to some embodiments, the standard working hours and user skill levels in the project working time template are adjusted according to the actual working time data, including: according to the actual working time data, obtaining the working hours and R&D effects required for users of different skill levels to independently complete the R&D stage of the current R&D project; and adjusting the standard working hours and user skill levels in the project working time template according to the required working hours and R&D effects.

[0008] According to some embodiments, the standard working hours and user skill levels in the project working time template are adjusted according to the actual working time data, including: obtaining the working hours required for a user with an improved skill level to complete the R&D stage of the current R&D project independently according to the actual working time data; determining whether the required working hours meet the preset stage time requirements; and adjusting the user skill levels in the project working time template when the required working hours meet the preset stage time requirements.

[0009] According to some embodiments, the work time statistical data is verified to determine whether the work time statistical data is valid, including: configuring a multi-layer verification process for the work time statistical data; and determining that the work time statistical data is valid when all the multi-layer verification processes pass.

[0010] According to some embodiments, after the working time statistical data are verified to determine whether the working time statistical data are valid, a statistical report of the working time statistical data is generated.

[0011] According to one aspect of the present application, a device for counting working hours in the research and development stage of traditional Chinese medicine is provided, comprising: a template configuration module, for configuring project working hour templates corresponding to each of a plurality of research and development projects according to preset research and development rules; a template optimization module, for optimizing the project working hour templates; a data acquisition module, for generating user working hour statistical data based on project working hour data acquired through the optimized project working hour template and ordinary working hour data acquired through the preset ordinary working hour template; and a data verification module, for verifying the working hour statistical data to determine whether the working hour statistical data is valid.

[0012] According to one aspect of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the aforementioned method.

[0013] According to one aspect of the present application, a computer-readable storage medium is provided, on which a computer program or instruction is stored. When the computer program or instruction is executed by a processor, the aforementioned method is implemented.

[0014] According to the embodiments of the present application, project working hours can be set according to the Chinese medicine research and development process to improve employee work efficiency and management efficiency, and provide effective data reference for employee evaluation, project quotation, cost accounting and performance appraisal.

[0015] It should be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application.

[0017] Figure 1 A flow chart showing a method for counting working hours in the research and development stage of traditional Chinese medicine according to an exemplary embodiment of the present application.

[0018] Figure 2 A schematic diagram showing the filling and review of user working time data according to an exemplary embodiment of the present application.

[0019] Figure 3 A block diagram of a device for counting working hours in the research and development stage of traditional Chinese medicine according to an exemplary embodiment of the present application is shown.

[0020] Figure 4 A block diagram of an electronic device according to an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION

[0021] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0022] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0023] The described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application may be put into practice without one or more of these specific details, or other modes, components, materials, devices or operations may be adopted. In these cases, known structures, methods, devices, realizations, materials or operations will not be shown or described in detail.

[0024] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0025] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0026] The present application provides a method, device and equipment for counting working hours in the research and development stage of traditional Chinese medicine, which can improve the work efficiency of employees.

[0027] The following will describe in detail a statistical method, device and equipment for working hours in the research and development stage of traditional Chinese medicine according to an embodiment of the present application with reference to the accompanying drawings.

[0028] Figure 1 A flow chart showing a method for counting working hours in the research and development stage of traditional Chinese medicine according to an exemplary embodiment of the present application.

[0029] like Figure 1 As shown, in step S100, according to the preset R&D rules, the statistical device configures project working time templates corresponding to each of the multiple R&D projects.

[0030] For example, in step S100, the statistical device configures project working time templates corresponding to different R&D projects according to the requirements of the R&D stages corresponding to different R&D projects in the preset R&D rules.

[0031] The statistical device obtains preset research and development rules.

[0032] According to some embodiments, the preset R&D rules include a plurality of different R&D projects, wherein each R&D project includes a plurality of R&D stages, and each R&D stage corresponds to a standard working time and a required user skill level.

[0033] According to some embodiments, the development phase of the development project can be updated according to regulations or guidelines. Standard working hours and user skill levels can be obtained based on practical data analysis. Among them, the length of the standard working hours and the user skill level required to complete the development phase can be determined by the difficulty of the development phase.

[0034] Taking R&D project A as an example, the standard working hours and skill levels corresponding to its R&D stage are shown in Table 1.

[0035] Table 1 Correspondence table of R&D stages of R&D project A

[0036] coding R&D stage Standard working hours Skill Level 1.1.1 Writing of key information verification materials 80 Level 2 1.1.2 Review of key information verification materials 20 Level 3 1.1.3 Review of key information verification materials 8 Level 5 …… …… …… ……

[0037] The statistical device first determines the R&D stage of the current R&D project.

[0038] Furthermore, the statistical device determines the standard working hours and user skill level corresponding to the R&D stage of the current R&D project according to preset R&D rules, and configures a project working hour template corresponding to the current R&D project accordingly.

[0039] In step S200, the statistical device optimizes the project working time template.

[0040] For example, in step S200, the statistical device extracts actual working time data of users with different skill levels from the historical effective working time data, and optimizes the project working time template based on it.

[0041] The statistical device first obtains historical effective working hours data according to a preset ratio.

[0042] According to some embodiments, the statistical device can obtain historical effective working time data through a preset working time analysis model. The historical effective working time data includes user self-assessment data, internal audit data, quality inspection data and external review data, which can be obtained according to a preset ratio through the working time analysis model.

[0043] For example, user self-assessment data is the effective working hours data of the R&D stage filled in by the user, which needs to be submitted for internal review after filling in. User self-assessment data can be obtained at a ratio of 35%.

[0044] Internal review data refers to valid working hours data that is confirmed after the user submits self-assessment data and passes internal review. Internal review includes review and confirmation by superior users at different levels, such as project leaders, directors, and center leaders. Content review data can be obtained at a ratio of 25%.

[0045] Quality inspection data refers to effective working time data that is confirmed by quality inspectors through comprehensive evaluation of users through system usage time, document submission / review time, task acceptance time, attendance data, etc. Quality inspection data can be obtained at a ratio of 35%.

[0046] External review data refers to the effective working hours data confirmed by the project customer or review experts after irregular inspection of the completion of the current R&D project. External review data can be obtained at a rate of 5%.

[0047] The statistical device extracts the actual working time data of users of different skill levels corresponding to the R&D stage of the current R&D project from the historical effective working time data.

[0048] According to some embodiments, any R&D stage in any R&D project can be completed independently by users with different skill levels, and users with different skill levels consume different hours to complete the same R&D stage independently.

[0049] The statistical device adjusts the standard working hours and user skill levels in the project working hours template according to the actual working hours data.

[0050] According to some embodiments, the statistical device can obtain the working hours and R&D effects required for users of different skill levels to complete the R&D stage of the current R&D project individually through actual working hour data, and adjust the standard working hours and user skill levels in the project working hour template accordingly.

[0051] For example, a user with a one-star skill level and a user with a two-star skill level both complete the R&D task of the same R&D stage independently. Compared with a user with a one-star skill level, a user with a two-star skill level requires shorter working hours and achieves better R&D results. The statistical device adjusts the user skill level required for the R&D stage in the project working time template to two stars, and sets the average working hours required for users with different two-star skill levels to complete the R&D stage as the standard working hours for the R&D stage in the project working time template.

[0052] According to some embodiments, the statistical device further obtains the working hours required for the user with the upgraded skill level to complete the R&D stage of the current R&D project by himself through the actual working hours data. If it is determined that the working hours required for the user to complete the R&D stage of the current R&D project by himself meets the preset stage time requirement, the statistical device adjusts the user skill level in the project working hours template.

[0053] For example, after a user with a one-star skill level improves his or her skill level to a two-star skill level, the statistical device obtains the working hours required for the user to complete the current R&D stage alone from the actual working hours data. If the working hours required by the user meet the preset stage time requirements, the statistical device adjusts the user skill level required for the current R&D stage in the project working hours template to one star. Among them, the preset stage time requirements can be set to no more than 20% of the standard working hours required for a two-star skill level user to complete the current R&D stage, and this data remains unchanged for 1 year.

[0054] In step S300, based on the project working time data obtained through the optimized project working time template and the common working time data obtained through the preset common working time template, the statistical device generates the working time statistical data of the user.

[0055] For example, in step S300, the statistical device combines the project working time data obtained through the project working time template with the ordinary working time data obtained through the ordinary working time template to form the working time statistical data of the user.

[0056] After logging into the system, the user fills in the project working time data through the optimized project working time template, or fills in the ordinary working time data through the preset ordinary working time template.

[0057] The statistical device obtains project working time data and general working time data, and forms the user's working time statistical data based on them.

[0058] In step S400, the statistical device verifies the man-hour statistical data to determine whether the man-hour statistical data is valid.

[0059] For example, in step S400, the statistical device performs multi-layer audit verification on the user's work time statistical data to determine whether the work time statistical data is valid.

[0060] The statistical device configures a multi-layer verification process for the user's working time statistical data.

[0061] According to some embodiments, the multi-layer verification process of the working time statistical data is that the superior users of multiple different levels corresponding to the current user judge or correct the working time data filled in by the user according to the standard working hours, skill level, and experimental difficulty in the research and development stage.

[0062] When all the multi-layer verification processes are passed, the statistical device determines that the user's working hour statistical data is valid and generates a statistical report of the working hour statistical data.

[0063] According to some embodiments, statistical reports of working time statistics data can be set according to actual needs, including working time statistical analysis reports for each R&D stage in the R&D project, project working time / ordinary working time statistics reports for the R&D stage, user overtime working time reports, and department working time reports, etc., and the query method can be set according to actual needs.

[0064] According to the embodiments of the present application, project working hours can be set according to the Chinese medicine drug research and development process to improve employee work efficiency and management efficiency.

[0065] Figure 2 A schematic diagram showing the filling and review of user working time data according to an exemplary embodiment of the present application.

[0066] like Figure 2 As shown, after the user enters the system with the preset account and password, he can use the log filling function in the system to record the details of the work content and fill in the working time data.

[0067] Users can select the project log, obtain the project time template by selecting the corresponding R&D stage in the R&D project, and fill in the project time data.

[0068] Users can also select normal log, obtain normal working time template, and fill in normal working time data.

[0069] After completing the filling, the user submits the project working time data and / or ordinary working time data to the superior user for review.

[0070] To ensure the authenticity and seriousness of the user's working time data, after the user submits it for review, it must be reviewed and approved by multiple levels of superior users before the working time data filled in by the user can be regarded as valid working time data.

[0071] For example, Figure 2 As shown, the project leader (i.e., the first-level superior user) first confirms or rejects the work content details and working time data filled in by the user. If approved, it means that the working time data of the user is valid, and if rejected, it means that the working time data of the user is invalid.

[0072] The working time data that has been reviewed and approved by the project leader will be automatically collected to the department director (i.e. the second-level superior user), who will reconfirm or reject the working time data of the user.

[0073] The working time data approved by the department director will be summarized in turn to the center manager (i.e. the third-level superior user). After the center manager reviews and approves it, the user's working time data will be confirmed to be valid and authentic.

[0074] The working time data of valid users will be archived to form working time statistics, and corresponding statistical reports will be generated.

[0075] Figure 3 A block diagram of a device for counting working hours in the research and development stage of traditional Chinese medicine according to an exemplary embodiment of the present application is shown.

[0076] like Figure 3 As shown, the statistical device 100 includes a template configuration module 110 , a template optimization module 120 , a data acquisition module 130 and a data verification module 140 .

[0077] The template configuration module 110 obtains preset research and development rules.

[0078] The template configuration module 110 determines the R&D stage of the current R&D project.

[0079] The template configuration module 110 determines the standard working hours and user skill levels corresponding to the R&D stage of the current R&D project according to preset R&D rules, and configures the project working hours template corresponding to the current R&D project accordingly.

[0080] The template optimization module 120 obtains historical effective working hours data according to a preset ratio.

[0081] The template optimization module 120 extracts actual working time data of users of different skill levels corresponding to the R&D stage of the current R&D project from the historical effective working time data.

[0082] The template optimization module 120 adjusts the standard working hours and user skill levels in the project working hours template according to the actual working hours data.

[0083] The data acquisition module 130 acquires the project working time data filled in by the user through the project working time template and the ordinary working time data filled in through the ordinary working time template, and forms the working time statistical data of the user.

[0084] The data verification module 140 configures a multi-layer verification process for the user's work time statistical data.

[0085] When all the multi-layer verification processes are passed, the data verification module 140 determines that the user's work-hour statistical data is valid, and generates a statistical report of the work-hour statistical data.

[0086] Figure 4 A block diagram of an electronic device according to an exemplary embodiment of the present application is shown.

[0087] like Figure 4 As shown, the electronic device 600 is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0088] like Figure 4As shown, the electronic device 600 is in the form of a general-purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different system components (including the storage unit 620 and the processing unit 610), a display unit 640, etc. The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 executes the methods described in this specification according to various exemplary embodiments of the present application. For example, the processing unit 610 may execute the following: Figure 1 The method shown in .

[0089] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0090] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0091] Bus 630 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0092] The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0093] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by combining software with necessary hardware. The technical solution according to the embodiment of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal or a network device, etc.) to execute the method according to the embodiment of the present application.

[0094] The software product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0095] Computer readable storage media may include data signals propagated in baseband or as part of a carrier wave, wherein readable program codes are carried. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program codes contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof.

[0096] Program code for performing the operations of the present application may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0097] The computer-readable medium carries one or more programs. When the one or more programs are executed by a device, the computer-readable medium implements the aforementioned functions.

[0098] Those skilled in the art will appreciate that the above modules can be distributed in the device according to the description of the embodiment, or can be changed accordingly and only used in one or more devices different from the embodiment. The modules of the above embodiments can be combined into one module, or further divided into multiple sub-modules.

[0099] The embodiments of the present application are described in detail above, and the description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, changes or deformations made by those skilled in the art based on the idea of ​​the present application, the specific implementation method and the scope of application of the present application, all belong to the scope of protection of the present application. In summary, the content of this specification should not be construed as limiting the present application.

Claims

1. A statistical method for working hours in the research and development stage of traditional Chinese medicine, characterized in that: include: According to the preset R&D rules, configure the project time templates corresponding to multiple R&D projects; Optimizing the project working time template; Generate user's work time statistics based on the project work time data obtained through the optimized project work time template and the ordinary work time data obtained through the preset ordinary work time template; The working hour statistical data is verified to determine whether the working hour statistical data is valid.

2. The method according to claim 1, characterized in that According to the preset R&D rules, configure the project time templates corresponding to multiple R&D projects, including: Determining the research and development stage of a current research and development project among the multiple research and development projects; According to the preset R&D rules, determine the standard working hours and user skill level corresponding to the R&D stage of the current R&D project; The project working time template is configured according to the standard working time and the user skill level.

3. The method according to claim 2, characterized in that The project time template is optimized, including: Obtain historical effective working hours data according to a preset ratio, wherein the historical effective working hours data includes user self-assessment data, internal audit data, quality inspection data and external review data; Extracting actual working time data of users of different skill levels corresponding to the R&D stage of the current R&D project from the historical effective working time data; The standard working hours and user skill levels in the project working hours template are adjusted according to the actual working hours data.

4. The method according to claim 3, characterized in that Adjusting the standard working hours and user skill level in the project working hours template according to the actual working hours data includes: According to the actual working time data, the working time and R&D effect required for users of different skill levels to complete the R&D stage of the current R&D project independently are obtained; According to the required working hours and R&D results, the standard working hours and user skill levels in the project working hours template are adjusted.

5. The method according to claim 3, characterized in that: Adjusting the standard working hours and user skill level in the project working hours template according to the actual working hours data includes: According to the actual working time data, the working time required for the user with the upgraded skill level to complete the R&D stage of the current R&D project alone is obtained; Determine whether the required working hours meet the preset stage time requirements; When the required working hours meet the preset stage time requirements, the user skill level in the project working hours template is adjusted.

6. The method according to claim 1, characterized in that Verifying the working time statistical data to determine whether the working time statistical data is valid includes: Configuring a multi-layer verification process for the man-hour statistical data; When the multi-layer verification process is passed, it is determined that the man-hour statistical data is valid.

7. The method according to claim 1, characterized in that After verifying the working time statistical data to determine whether the working time statistical data is valid, the method further includes: Generate a statistical report of the working time statistical data.

8. A statistical device for working hours in the research and development stage of traditional Chinese medicine, characterized in that: include: The template configuration module is used to configure the project time templates corresponding to multiple R&D projects according to the preset R&D rules; A template optimization module, used for optimizing the project working time template; A data acquisition module, used to generate user's work time statistics based on the project work time data acquired through the optimized project work time template and the ordinary work time data acquired through the preset ordinary work time template; The data verification module is used to verify the working time statistical data to determine whether the working time statistical data is valid.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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