Group construction method based on artificial intelligence

Abstract

The invention discloses a group construction method based on artificial intelligence. Taking enterprise project management as an example, an enterprise can realize automatic management and group cooperation of projects through the system. An employee only needs to take a picture and describe a project problem through voice, and the system can automatically construct a project group, distribute tasks and set completion time. And the project members communicate and cooperate in the group, and submit a report after completing the task. And the supervision leader checks the report through the system and confirms that the task is completed, and finally, the system scores the members according to the assessment standard and automatically dissolves the group.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and particularly to a method for constructing a group based on artificial intelligence. Background Art

[0002] In current work and life, task management and group collaboration have become an indispensable part. However, traditional methods often have problems such as low efficiency, chaotic information, and unclear task allocation. Existing event groups usually adopt manual management methods, resulting in high labor costs and being unable to accurately conduct human-computer communication, artificial intelligence applications, alarm monitoring, advertising placement, event marketing, and analysis and management. Therefore, the present invention proposes a method for constructing a group based on artificial intelligence, aiming to achieve automatic task allocation, automatic group construction, and automatic supervision and assessment of task completion through intelligent means. Summary of the Invention

[0003] The present invention provides a method for constructing a group based on artificial intelligence, which realizes automatic task allocation, automatic group construction, and automatic supervision and assessment of task completion through intelligent means.

[0004] The present invention provides a method for constructing a group based on artificial intelligence, including:

[0005] A. Extracting user parameters based on artificial intelligence technology;

[0006] B. The user inputs data;

[0007] C. Building an artificial intelligence work group;

[0008] D. Deploying artificial intelligence services and operating environments;

[0009] E. Analyzing the data of members and events in the group in real time;

[0010] F. Finally obtaining the event processing result.

[0011] Furthermore, the user only needs to take a photo and describe the event problem by voice, and the system can automatically complete a series of subsequent operations.

[0012] Furthermore, the user inputs the event problem into the system by taking a photo and voice description. The system supports automatic recognition of picture content and voice information and converts them into text form for subsequent processing.

[0013] Furthermore, the system is built with AI algorithms, which can intelligently analyze and classify the input event problems; according to the urgency and importance of the events, it automatically lists a list of important and urgent events, providing a basis for task allocation priorities.

[0014] Furthermore, according to the input device, it includes: drawing board, microphone, keyboard, mouse, smart glasses, pupil recognition, fingerprint recognition, voice recognition, USB flash drive, hard disk, AI voice interaction, brain wave recognition, five senses of the human body, and human signal recognition.

[0015] Furthermore, the user inputs data in the form of characters, words, phrases, short sentences, voice, static pictures, dynamic pictures, and short videos.

[0016] Furthermore, based on the results of AI analysis, the system automatically builds corresponding groups and assigns tasks to relevant members. Each group has clear task objectives and completion time to ensure that each member understands their tasks.

[0017] Furthermore, after completing the task, members need to submit a completion report. The supervisory leader reviews and confirms the report through the system to ensure the true completion and quality of the task.

[0018] Furthermore, when all tasks are completed, the system automatically disbands the group to avoid information redundancy and trouble in group management.

[0019] Furthermore, the system will conduct a comprehensive assessment and scoring of members based on multiple dimensions such as task completion, completion time, quality, etc. The scoring results can be used as the basis for subsequent incentives or penalties.

[0020] Furthermore, when the data is input and processed, interaction with the user can be performed to ultimately achieve a state of complete matching.

[0021] Furthermore, the corresponding permissions can be adjusted according to the user's level, such as browsing permissions, storage permissions, download permissions, etc.

[0022] Furthermore, the corresponding group has a corresponding file cloud disk. When the group is automatically disbanded, you can also choose to save, delete or transfer.

[0023] Furthermore, this method is not limited to the catering industry, but can be applied to a variety of industries, and can be applied in a variety of compatible modes across professions, industries, and systems.

[0024] In the first aspect, the present invention also provides a group construction system based on artificial intelligence, which is arranged in a corresponding hardware device, including: a photo voice input module, an artificial intelligence analysis module, a group construction module, a task management module, a supervision confirmation module and a comprehensive assessment module.

[0025] In a second aspect, the present invention further provides a hardware device for group construction based on artificial intelligence. The teaching hardware device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the group construction generation method described in any embodiment of the present invention.

[0026] In a third aspect, a computer-readable storage medium stores computer instructions for enabling a processor to implement the artificial intelligence-based group construction described in any one of the embodiments of the present invention when executed.

[0027] Beneficial effects

[0028] Intelligence: The system uses AI technology throughout the process to achieve intelligent parsing of events, automatic construction of groups, and intelligent allocation and supervision of tasks.

[0029] High efficiency: Through automated means, the efficiency of task management and group collaboration is greatly improved, reducing human intervention and communication costs.

[0030] Transparency: Each member can clearly understand their tasks and goals, and the task completion status is also obvious at a glance, enhancing the transparency and collaboration of the team.

[0031] Flexibility: The system can be customized and extended according to actual needs to meet the task management and group collaboration requirements in different scenarios.

[0032] A group construction method based on artificial intelligence proposed by the present invention solves the problems existing in traditional task management and group collaboration through intelligent means, improving work efficiency and team collaboration. This system has broad application prospects and great market value. Description of the drawings

[0033] Figure 1 It is a flowchart of a group construction method based on artificial intelligence provided by an embodiment of the present invention; Detailed implementation manners

[0034] The present invention will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention. Additionally, it should be noted that for the sake of description, only parts related to the present invention are shown in the drawings, rather than all the structures.

[0035] Taking enterprise project management as an example, an enterprise can achieve automated project management and group collaboration through this system. Employees only need to take pictures and describe project problems verbally, and the system can automatically build project groups, assign tasks, and set completion times. Project members communicate and collaborate within the group and submit reports after completing tasks. Supervisory leaders review the reports through the system and confirm the completion of tasks. Finally, the system scores the members according to the assessment criteria and automatically disbands the group.

[0036] Figure 1 It is a flowchart of a group construction method based on artificial intelligence provided by an embodiment of the present invention. In this embodiment, during the process of a user using a hardware device, human-computer interaction is realized. This method can be executed by a group construction method based on artificial intelligence, and specifically includes the following steps:

[0037] S110. Extract parameters of the user based on artificial intelligence technology.

[0038] Among them, the user can be anyone such as a specific chef, waiter, boss, cleaner, etc. Here, a waiter is taken as an example for the implementation example. The user's own parameters include height parameter, weight parameter, age parameter, gender parameter, intelligence parameter, emotional intelligence parameter, learning ability parameter, memory parameter, hobby parameter. The parameters of the catering store include catering store parameters, menu parameters, dish parameters, waiter parameters, chef parameters, head chef parameters, supervisory staff parameters, store manager parameters, and human-computer interaction method parameters. According to the needs of specific situations, parameter addition, deletion, modification, and query can be performed.

[0039] Specifically, after the user uses the catering hardware device based on artificial intelligence technology, the teaching hardware device extracts various user's own parameters and restaurant parameters. Specifically, they are height, weight, age, gender, intelligence, emotional intelligence, learning ability, memory, hobby, catering store, menu, dish, waiter, chef, head chef, supervisory staff, store manager, human-computer interaction method, etc. Parameter addition, deletion, modification, and query can be appropriately performed, and this embodiment does not limit this.

[0040] S120. The user inputs data;

[0041] Just take pictures and verbally explain the event problem.

[0042] A. Purpose of group chat

[0043] Clarify the purpose of creating the group, whether it is for work communication, friend gathering, or a group for hobbies, etc. Clarifying the purpose helps to better select group members and formulate corresponding group rules.

[0044] B. Selection of group members:

[0045] Select appropriate group members according to the purpose of the group chat. Ensure that these people are interested in the group's topic and willing to actively participate. The members of the group do not need to be friends of the user.

[0046] C. Group name and group avatar:

[0047] Select a concise and clear group name that can reflect the group's topic, which is convenient for group members to identify. At the same time, a group avatar can also be set to make the group chat more personalized.

[0048] D. Group rule setting:

[0049] Before creating a WeChat group chat, it is recommended to formulate some basic group rules, including members' code of conduct, speaking time, and information sharing methods, etc., to avoid later chaos and disputes.

[0050] E. Group chat type:

[0051] Understand and select the group chat type that suits the user's needs, such as family group, friend group, work group, or interest group, etc. Different types of group chats may have different communication methods and contents.

[0052] This system is also supported by a powerful database, which is an independently developed artificial intelligence database. After the user uses the system, not only the collected personal parameters and restaurant parameters are stored in the database, but also an artificial intelligence parameter corresponding to the guest himself is summarized and stored in the database according to people's behavior habits, psychological habits, etc. The superposition of these three parameters can accurately judge all behaviors and habits of any user.

[0053] S130. Build an artificial intelligence work group;

[0054] Before creating a work group, first clarify the type and purpose of the group, such as project group, department group, or interest group, etc. This helps with subsequent group management and member collaboration;

[0055] According to actual needs, select an AI tool or platform that can support the construction and management of the work group. These tools or platforms should provide basic functions such as group creation, member management, and message push, and have intelligent features such as automatic reply and intelligent recommendation;

[0056] On the selected AI tool or platform, create a work group according to the guidance. During the creation process, attributes such as group name, group owner, and member permissions need to be set to ensure the standardization of internal group management and collaboration efficiency;

[0057] Make full use of the intelligent functions of AI tools, such as automatically managing group members through an AI assistant, intelligent classification and pushing of messages, etc. This can greatly reduce the management burden of the group owner and improve the operation efficiency of the group;

[0058] In the work group, members are encouraged to share resources, experiences, and knowledge to promote resource sharing and collaboration among groups. This can be achieved by setting sharing permissions, creating cross-group tasks or projects, etc.

[0059] Regularly monitor and evaluate the work group to understand the group's operation status and members' needs. According to the evaluation results, promptly adjust the group settings and management strategies to optimize the group's operation effect.

[0060] And it has a prompt for the completion time.

[0061] S140, Deploy the artificial intelligence service and the operating environment;

[0062] 1. Data collection and preprocessing:

[0063] First, collect the required data through various sensors or external devices. This data may come from networks, sensors, cameras, etc.

[0064] Preprocess the collected data, including removing noise, normalization, etc., to ensure the accuracy and availability of the data.

[0065] 2. Data storage and management:

[0066] Store the preprocessed data in a database or a distributed file system for subsequent analysis and training.

[0067] Ensure the security and reliability of data storage, and take necessary backup and recovery measures.

[0068] 3. Model training and optimization:

[0069] After the data is ready, use the algorithms of the artificial intelligence system to train the model.

[0070] During the training process, pay attention to the accuracy, stability, and efficiency of the model, and improve the model performance by adjusting parameters and optimizing algorithms.

[0071] 4. Data analysis and decision-making:

[0072] The trained model can be used to analyze and make decisions on new data;

[0073] Based on the analysis results of the model, make corresponding decisions or predictions to support business operation and development.

[0074] 5. Operation and monitoring

[0075] Deploy the artificial intelligence service to ensure its stable operation in the production environment

[0076] Continuously monitor the system, promptly detect problems and fix them to ensure the stability and reliability of the system

[0077] 6. Hardware and network support

[0078] Ensure that the server's hardware has powerful computing and storage capabilities, such as high-performance CPUs, large-capacity memory, and hard disk space, etc.

[0079] Configure a stable and high-speed network connection to meet the needs of data interaction and transmission.

[0080] 7. Security considerations

[0081] Strengthen the security measures of the artificial intelligence server, such as identity authentication, encrypted transmission, access control, etc., to prevent data leakage and malicious attacks.

[0082] Regularly conduct security audits and vulnerability scans on the system to ensure the security of the system.

[0083] S150. Analyze the data of group members and events in real time

[0084] Most importantly, a perfect supervision function is added, and the supervisor confirms that the event handling is completed.

[0085] It is possible to collect data such as chat records, member information, and interaction frequencies in the group in real time. These data are the basis for subsequent analysis and help to understand the interests, needs, and activity levels of group members. Then, conduct real-time data analysis. Support such as group member activity statistics, chat record analysis, and keyword statistics can visually display the analysis results in the form of charts, dashboards, etc.

[0086] S160. Finally obtain the event handling result

[0087] After the event is handled, summarize the handling results, including the discovery of problems, the handling process, and the effect evaluation, etc., to form a complete handling report.

[0088] The premise for the group to be automatically dissolved can be set (such as comprehensive assessment scores)

[0089] According to the handling results and member feedback, continuously optimize the group management strategy to improve the group management level and member satisfaction.

[0090] The various embodiments of the systems and techniques described above in this specification can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which may be a special-purpose or general-purpose programmable processor that receives data and instructions from, and transmits data and instructions to, a storage system, at least one input device, and at least one output device.

[0091] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0092] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on 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 (EPROM or 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.

[0093] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0094] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0095] A computing system can include a client and a server. The client and the server are generally far from each other and usually interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0096] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0097] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A group building method based on artificial intelligence, characterized in that: include: A. Extract user parameters based on artificial intelligence technology; B. The user inputs data; C. Build an artificial intelligence work group; D. Deploy AI services and operating environment; E. Analyze the data of group members and events in real time; F. Finally obtain the event processing result.

2. The method according to claim 1, characterized in that include: Based on the results of AI analysis, the system automatically builds corresponding groups and assigns tasks to relevant members. Each group has clear task objectives and completion time to ensure that each member understands their tasks.

3. The method according to claim 1, characterized in that include: After completing the group task, members need to submit a completion report, and the supervisory leader will review and confirm the report through the system to ensure the actual completion status and quality of the task.

4. The method according to claim 1, characterized in that Data input includes: drawing board, microphone, keyboard, mouse, smart glasses, pupil recognition, fingerprint recognition, voice recognition, image recognition, USB flash drive, hard disk, AI voice interaction, brain wave recognition, five senses of the human body, and human signal recognition.

5. The method according to claim 1, characterized in that include: The user may input data in the form of characters, words, phrases, short sentences, voice, static images, dynamic images, and short videos.

6. The method according to claim 1, characterized in that include: When all tasks are completed, the system automatically disbands the group to avoid information redundancy and group management troubles.

7. The method according to claim 1, characterized in that include: The system has built-in AI algorithms that can intelligently analyze and classify entered event issues; based on the urgency and importance of the events, it automatically lists important and urgent events to provide a priority basis for task allocation.

8. A group building system based on artificial intelligence, characterized in that: The system is arranged in a hardware device, including: Photo taking and voice input module, artificial intelligence analysis module, group building module, task management module, supervision confirmation module and comprehensive assessment module. Among them, the camera voice input module is used for users to input data; The artificial intelligence parsing module is used to extract the user's parameters; The group building module is used to build an artificial intelligence work group; The task management module is used to classify different times; The supervision confirmation module is used to supervise people in the group in real time; The comprehensive assessment module is used to make the final score based on the set parameters.

9. A teaching hardware device, characterized in that: The teaching hardware equipment includes: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the artificial intelligence-based group building method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the artificial intelligence-based group building method according to any one of claims 1 to 7 when executed.

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