Research and development man-hour recording and accounting method

Abstract

The invention relates to the technical field of research and development project management, and provides a research and development man-hour recording and accounting method, which comprises the following steps: step 1, deploying a cloud department tax platform, and deploying equipment for identity recognition in a research and development place, the identity recognition equipment including but not limited to an AI face attendance machine, a card swiping device or an identity card swiping device; and step 2, inputting equipment information, personnel information and project information in the cloud department tax communication platform, binding a project with related equipment, and binding personnel with the project at the same time. The research and development working hours of each research and development person in each project can be accurately recorded through the cooperation of the cloud Ke tax communication platform and the identity recognition equipment. The system automatically associates personnel, project and equipment information, determines the investment time of specific personnel in each project, provides an accurate basis for project progress tracking and personnel performance evaluation, realizes automation and data sharing of a business process, and improves the accuracy and efficiency of financial accounting.

Description

Technical Field

[0001] The present invention relates to the technical field of R&D project management, and in particular to a method for recording and calculating R&D working hours. Background Art

[0002] At present, most factories or parks rely mainly on manual statistics of equipment operation forms for R&D working hours. When R&D personnel use production equipment to carry out R&D work, the attendance record method is relatively traditional, usually manually recording in a notebook, or using an ordinary attendance machine to record attendance, and then exporting these records into R&D attendance records, and then passing them to the finance department. In this mode, the statistics of equipment operation forms can only reflect the use of the equipment, and cannot be accurately associated with specific R&D personnel and projects; manual attendance records also only reflect the attendance of personnel, and it is difficult to directly link them with equipment use and R&D projects.

[0003] On the one hand, with the increase in the number of R&D projects and personnel, statistical work has become extremely cumbersome. A large amount of tabular data needs to be processed, which not only consumes manpower and time, but is also prone to statistical errors. On the other hand, in the statistical process, it involves many aspects of information such as production equipment, R&D personnel, and energy consumption data. These data are difficult to effectively normalize and merge statistics, and they cannot be split in a timely and accurate manner, resulting in the inability to clearly identify the corresponding R&D hours, the equipment used, and the energy consumption during the R&D process. This makes R&D project management lack accurate data support, making it impossible to reasonably arrange resources, and also brings difficulties to the accounting of R&D expenses, making it difficult to achieve accurate cost control. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method for recording and calculating R&D working hours, which solves the problem that with the increase in the number of R&D projects and personnel, the statistical work becomes extremely cumbersome, and a large amount of tabular data needs to be processed, which not only consumes manpower and time, but also is prone to statistical errors. In addition, it is difficult to perform effective normalized and merged statistics during the statistical process, and it is even more difficult to split them in a timely and accurate manner.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for recording and calculating R&D working hours, comprising the following steps: Step 1: Deploy the Yunkeshuitong platform and deploy devices for identity recognition at the R&D site. The identity recognition devices include but are not limited to AI facial attendance machines, card swiping devices or ID card swiping devices; Step 2: Enter the equipment information, personnel information and project information in the Yunkeshuitong platform, bind the project with the relevant equipment, and bind the personnel with the project; Step 3: When personnel arrive at the R&D site to work, they must first select the project they are participating in and the equipment they are using in the system, then perform identity recognition and clock in. The system automatically records the start time of the project R&D. If the personnel are not performing R&D attendance, they can select the default attendance. Step 4: When the R&D personnel finish their work and leave, they will clock in again for identity recognition. The system will automatically record the end time of this R&D and calculate the R&D working hours based on the start and end times to form a R&D record. Step 5. The identity recognition device reports the information of R&D equipment or personnel to the Yunkeshuitong platform in real time through WiFi or wired communication.

[0006] Preferably, the Yunkeshuitong platform in step one also has a data statistical analysis function, which can count the cumulative R&D hours of each R&D personnel in different projects, the usage hours of each equipment in different projects, and the total R&D hours and total equipment usage hours of each project based on the entered and recorded data.

[0007] Preferably, in the step one, the Yunkeshuitong platform is provided with a data authority management module, and different user roles have different data viewing and operation permissions to ensure the security and confidentiality of the data. The user roles include project leaders, financial personnel, and ordinary R&D personnel.

[0008] Preferably, in the step 1, when the identity recognition device adopts an AI face attendance machine, the AI ​​face attendance machine has a built-in face recognition algorithm, which can quickly and accurately identify the identity of a person under different lighting conditions, and the recognition accuracy rate is not less than 99%.

[0009] Preferably, in step 1, the Yunkeshuitong platform has data backup and recovery functions, and regularly backs up the entered equipment information, personnel information, project information and R&D records. The backup data is stored in an off-site server, and when the system fails or data is lost, the data can be quickly restored.

[0010] Preferably, the equipment information input in step 2 includes the name, model, serial number, purchase time, equipment function description and project category information of the equipment.

[0011] Preferably, the personnel information input in step 2 includes the personnel's name, work number, department, contact information, the personnel's skills and expertise, and information on all R&D projects in which the personnel is involved.

[0012] Preferably, the project information input in step 2 includes the project name, project number, project start time, project estimated end time, project leader, project objectives and task description, and a list of equipment involved in the project.

[0013] Preferably, in the process of binding the project to the device in step 2, support is provided for a single device to correspond to a single project, support is provided for a combination of multiple devices to correspond to a single project, and support is provided for a single device to correspond to multiple projects.

[0014] Preferably, in the process of binding personnel and projects in step 2, support is provided for a single person to participate in a single project, support is provided for multiple persons to participate in a single project, and support is provided for a binding method in which a single person participates in multiple projects.

[0015] The present invention provides a method for recording and calculating R&D working hours. It has the following beneficial effects: 1. The present invention can accurately record the R&D working hours of each R&D personnel in each project through the cooperation of the Yunke Tax Pass platform and the identity recognition device. The system automatically associates the personnel, project and equipment information, clarifies the time invested by specific personnel in each project, and provides an accurate basis for project progress tracking and personnel performance evaluation.

[0016] 2. The present invention accurately counts the working hours of each equipment in different projects, which helps enterprises understand the utilization efficiency of equipment and reasonably arrange equipment maintenance and update plans. For frequently used equipment, maintenance can be arranged in advance to avoid equipment failure affecting the progress of research and development; for equipment with low utilization rate, consider redeployment or disposal to improve the utilization efficiency of equipment resources and reduce the equipment cost of the enterprise.

[0017] 3. The present invention does not require manual collection and organization of data, which greatly reduces the time and labor costs of data statistics, while avoiding possible errors in manual statistics, realizing the automation of business processes and data sharing, reducing the links of manual data transmission, improving the accuracy and efficiency of financial accounting, and enhancing the overall management efficiency of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example: Please see attached Figure 1 , an embodiment of the present invention provides a method for recording and calculating R&D working hours, comprising the following steps: Step 1. Deploy the Yunkeshuitong platform and deploy devices for identity recognition at the R&D site. The identity recognition devices include but are not limited to AI face attendance machines, card swiping devices or ID card swiping devices. When the identity recognition device uses an AI face attendance machine, the AI ​​face attendance machine has a built-in face recognition algorithm, which can quickly and accurately identify the identity of people under different lighting conditions, and the recognition accuracy rate is not less than 99%. The Yunkeshuitong platform is equipped with a data permission management module. Different user roles have different data viewing and operation permissions to ensure the security and confidentiality of the data. User roles include project leaders, financial personnel, and ordinary R&D personnel. The Keshuitong platform also has a data statistical analysis function. It can count the cumulative R&D hours of each R&D personnel in different projects, the usage hours of each equipment in different projects, and the total R&D hours and total equipment usage hours of each project based on the entered and recorded data. It also has data backup and recovery functions, and regularly backs up the entered equipment information, personnel information, project information and R&D records. The backup data is stored in a remote server. When the system fails or data is lost, the data can be quickly restored; Step 2: Enter the equipment information, personnel information and project information in the Yunkeshuitong platform, bind the project with the relevant equipment, and bind the personnel with the project. The equipment information includes the name, model, number, purchase time, equipment function description and project category information of the equipment. The personnel information includes the personnel name, work number, department, contact information, personnel skills and expertise, and all R&D project information involved. The project information includes the project name, project number, project start time, project expected end time, project leader, project goals and task description, and the equipment list involved in the project. In the process of binding the project with the equipment, it supports a single device corresponding to a single project, supports multiple equipment combinations corresponding to a single project, and supports a single device corresponding to multiple projects. In the process of binding the personnel with the project, it supports a single person participating in a single project, supports multiple people participating in a single project, and supports a single person participating in multiple projects. Step 3: When personnel arrive at the R&D site to work, they must first select the project they are participating in and the equipment they are using in the system, then perform identity recognition and clock in. The system automatically records the start time of the project R&D. If the personnel are not performing R&D attendance, they can select the default attendance. Step 4: When the R&D personnel finish their work and leave, they will clock in again for identity recognition. The system will automatically record the end time of this R&D and calculate the R&D working hours based on the start and end times to form a R&D record. Step 5. The identity recognition device reports the information of R&D equipment or personnel to the Yunkeshuitong platform in real time through WiFi or wired communication.

[0021] The following is a detailed introduction: System deployment and information entry stage: The company deployed the Yunke Tax Pass platform and installed AI facial attendance machines at the entrances of various R&D sites and key R&D equipment. In the platform, the administrator entered various types of information in detail. In terms of equipment information, it includes the name, model, number, purchase time, etc. of R&D equipment such as high-precision oscilloscopes and signal generators; personnel information covers the names, work numbers, departments, skills, etc. of all R&D personnel; project information includes the names, numbers, persons in charge, project goals, etc. of multiple ongoing R&D projects. At the same time, each project is bound to related equipment, such as binding a new chip R&D project to a specific test equipment; R&D personnel are associated with participating projects, such as R&D engineer Xiao Li was assigned to the 5G communication technology R&D project.

[0022] Daily R&D work record stage: After the R&D personnel arrive at their work posts every day, they punch in through the AI ​​facial attendance machine when entering the R&D site. When punching in, the system prompts you to select the R&D project you participated in and the equipment you used that day. If Xiao Li participated in the 5G communication technology R&D project and used a signal generator that day, he would select the corresponding project and equipment and complete the punch in, and the system would automatically record the start time of the project R&D. When Xiao Li finished work and left, he punched in again, the system recorded the end time, and calculated the R&D working hours on the project that day based on these two time points to form a detailed R&D record. If Xiao Li was just doing daily office work that day and was not involved in a specific R&D project, he would choose the default punch in.

[0023] Data statistics analysis and application stage: The Yunke Tax Pass platform collects data uploaded by the attendance machine in real time, and automatically summarizes and statistically analyzes it. Every week, the project leader can view the cumulative R&D working hours of all members of the project through the platform to understand the overall progress of the project. For example, the project leader of the 5G communication technology R&D project found that some members had shorter working hours, so he communicated with them in a timely manner, adjusted the work arrangements, and ensured that the project was advanced as planned. Every month, the finance department obtains the R&D working hours data of each project from the platform, and accurately calculates the R&D expenses of each project by combining the equipment working hours and energy consumption data. At the same time, the company's management analyzed the distribution of R&D working hours in different departments through the platform, and found that the software R&D department had longer working hours and some equipment in the hardware R&D department had lower utilization rates. Therefore, it decided to deploy some personnel from the hardware department to support the software department, and redeploy low-utilization equipment, optimizing the company's resource allocation.

[0024] System security and data backup guarantee stage: The enterprise has set strict data permissions on the Yunke Tax Platform according to the responsibilities and needs of different personnel. The project leader can only view and manage the data of this project, and the financial staff can only access the data related to expense accounting. For example, the person in charge of the 5G communication technology R&D project cannot view the R&D working hours data of other projects, ensuring the security of the data. In addition, the platform automatically backs up all data to an off-site server every morning. In a server hardware failure, the data was lost, but through off-site backup, the enterprise restored the data in a short time, and the R&D work and project management were not significantly affected, ensuring the continuity of the business.

[0025] System connection and business process optimization stage: The Yunke Tax Platform is connected with the company's financial management system and project management system. R&D work hour data is automatically pushed to the financial system, and financial personnel do not need to manually collect and organize data, and can directly perform cost accounting, which improves work efficiency and accounting accuracy. At the same time, the project management system obtains R&D progress data in real time. Project managers can intuitively see the comparison between the actual progress of the project and the planned progress in the system, discover deviations in time and make adjustments, realize the automation and optimization of business processes, and improve the overall management level of the enterprise.

[0026] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for recording and calculating R&D working hours, characterized in that: The following steps are involved: Step 1: Deploy the Yunkeshuitong platform and deploy devices for identity recognition at the R&D site. The identity recognition devices include but are not limited to AI facial attendance machines, card swiping devices or ID card swiping devices; Step 2: Enter the equipment information, personnel information and project information in the Yunkeshuitong platform, bind the project with the relevant equipment, and bind the personnel with the project; Step 3: When personnel arrive at the R&D site to work, they must first select the project they are participating in and the equipment they are using in the system, then perform identity recognition and clock in. The system automatically records the start time of the project R&D. If the personnel are not performing R&D attendance, they can select the default attendance. Step 4: When the R&D personnel finish their work and leave, they will clock in again for identity recognition. The system will automatically record the end time of this R&D and calculate the R&D working hours based on the start and end times to form a R&D record. Step 5. The identity recognition device reports the information of R&D equipment or personnel to the Yunkeshuitong platform in real time through WiFi or wired communication.

2. A method for recording and calculating R&D working hours according to claim 1, characterized in that: In the step one, the Yunkeshuitong platform also has a data statistical analysis function, which can count the cumulative R&D hours of each R&D personnel in different projects, the usage hours of each equipment in different projects, and the total R&D hours and total equipment usage hours of each project based on the entered and recorded data.

3. A method for recording and calculating R&D working hours according to claim 1, characterized in that: In step one, the Yunkeshuitong platform is equipped with a data authority management module, and different user roles have different data viewing and operation permissions to ensure the security and confidentiality of the data. The user roles include project leaders, financial personnel, and ordinary R&D personnel.

4. A method for recording and calculating R&D working hours according to claim 1, characterized in that: In the step 1, when the identity recognition device adopts an AI face attendance machine, the AI ​​face attendance machine has a built-in face recognition algorithm, which can quickly and accurately identify the identity of a person under different lighting conditions, and the recognition accuracy rate is not less than 99%.

5. A method for recording and calculating R&D working hours according to claim 1, characterized in that: The step 1 Yunkeshuitong platform has data backup and recovery functions, and regularly backs up the entered equipment information, personnel information, project information and R&D records. The backup data is stored in an off-site server, and when the system fails or data is lost, the data can be quickly restored.

6. A method for recording and calculating R&D working hours according to claim 1, characterized in that: The equipment information input in step 2 includes the name, model, serial number, purchase time, equipment function description and project category information to which the equipment belongs.

7. A method for recording and calculating R&D working hours according to claim 1, characterized in that: The personnel information input in step 2 includes the personnel's name, work number, department, contact information, personnel's skills and expertise, and information on all R&D projects in which they participated.

8. The method for recording and calculating R&D working hours according to claim 1, characterized in that: The project information input in step 2 includes the project name, project number, project start time, project estimated end time, project leader, project objectives and task description, and a list of equipment involved in the project.

9. A method for recording and calculating R&D working hours according to claim 1, characterized in that: In the process of binding the project and the device in step 2, a single device is supported to correspond to a single project, a combination of multiple devices is supported to correspond to a single project, and a single device is supported to correspond to multiple projects.

10. A method for recording and calculating R&D working hours according to claim 1, characterized in that: In the process of binding personnel and projects in step 2, it supports a single person to participate in a single project, supports multiple people to participate in a single project, and supports a binding method of a single person participating in multiple projects.

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