Pre-class conference-based management system and method, product and storage medium

Abstract

The embodiment of the invention provides a pre-class conference-based management system and method, a product and a storage medium. The system comprises a terminal and a cloud server, the cloud server comprises a team management component and a conference processing component; the terminal is used for collecting data information related to a pre-class conference; sending the data information to a management component; the management component is used for receiving the data information; sending the data information and stored first audio information of a team leader to a processing component; the processing component is used for receiving the data information and the first audio information; judging whether a person corresponding to the first audio information and a person corresponding to second audio information are the same person based on the first audio information and the second audio information of a team leader in the team information; and under the condition that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determining an evaluation result of the content quality of the conference before class based on the data information, a preset large language model and stored conference requirement information.

Description

Technical Field

[0001] The present application relates to the field of wireless technology, and in particular to a management system, method, product and storage medium based on pre-shift meetings. Background Art

[0002] At present, the automatic speech recognition technology (Automatic Speech Recognition, ASR) and speaker recognition technology (Speaker Recognition, SR) in the field of speech recognition are becoming more and more perfect, and the large language model technology (Large Language Model, LLM) has also experienced explosive development. However, the pre-shift meeting management scenario that combines speech recognition technology and large language model technology to empower engineering project management is still blank.

[0003] Pre-shift meetings are a common task and requirement in engineering project management. However, due to the large number of construction teams and uneven personnel quality, pre-shift meetings are often not conducted as required, and the content of the meetings is not detailed or inadequate. At the same time, due to the limited number of project management personnel, it is impossible to supervise the content of pre-shift meetings throughout the process, resulting in poor results of pre-shift meetings.

[0004] Existing technologies often manage the pre-shift meeting process by taking photos and clocking in through applications (APPlication, APP), but due to the lack of intelligent detection and control of the quality of meeting content, project managers cannot quickly grasp the actual content and quality of pre-shift meetings, and existing methods cannot effectively control and supervise pre-shift meetings. Summary of the invention

[0005] In order to solve the existing technical problems, the embodiments of the present application provide a management system, method, product and storage medium based on pre-shift meetings.

[0006] To achieve the above purpose, the technical solution of the embodiment of the present application is implemented as follows:

[0007] The embodiment of the present application provides a management system based on pre-shift meetings, the system comprising a terminal and a cloud server; the cloud server comprises a management component for the team and a processing component for the meeting; the management component is connected to the terminal and the processing component respectively;

[0008] The terminal is used to collect data information related to the pre-shift meeting; the data information includes team information; and send the data information to the management component;

[0009] The management component is used to receive the data information; send the data information and the first audio information of the stored team leader to the processing component;

[0010] The processing component is used to receive the data information and the first audio information; based on the first audio information and the second audio information of the team leader in the team information, determine whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person; in the case that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determine the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to determine whether the content quality of the pre-shift meeting meets the preset meeting requirements.

[0011] In the above scheme, the processing component includes a speech recognition unit, a conference management unit and a conference evaluation unit; the conference management unit is connected to the speech recognition unit and the conference evaluation unit respectively; wherein,

[0012] The speech recognition unit is used to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result; if the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determine the text information corresponding to the data information;

[0013] The conference management unit is used to determine brief information related to the pre-shift meeting based on the text information and the preset large language model;

[0014] The conference evaluation unit is used to evaluate the text information according to the brief information and the conference requirement information to obtain the evaluation result.

[0015] In the above scheme, the terminal includes a touch screen module, a microphone module, a wireless communication module and a system on chip (SOC) module; the SOC module is connected to the touch screen module and the microphone module respectively; the SOC module is connected to the wireless communication module; wherein,

[0016] The touch screen module is used to receive a registration instruction for a team, register the team based on the registration instruction, and input the team information; the team information includes basic information of the team leader;

[0017] The microphone module is used to record the first audio information of the team leader within a preset time;

[0018] The SOC module is used to store the team information and the first audio information.

[0019] In the above scheme, the terminal further includes a speaker module and a camera module; the SOC module is connected to the speaker module and the camera module respectively; the SOC module is connected to the wireless communication module; wherein,

[0020] The microphone module is also used to collect voice data during the pre-shift meeting activity;

[0021] The camera module is used to collect photos during the pre-shift meeting activities;

[0022] The speaker module is used to receive the review instruction of the team leader after completing the pre-shift meeting, and play the voice data based on the review instruction;

[0023] The SOC module is further used to store the voice data and the photo when the voice data is accurately recorded; and use the team information, the voice data and the photo as the data information;

[0024] The wireless communication module is also used to send the data information and the first audio information to the management component.

[0025] In the above solution, the management component includes an information management module and a voice management module; the wireless communication module is connected to the management component; wherein,

[0026] The voice management module is used to receive the first audio information and store the first audio information;

[0027] The information management module is used to receive the data information and store the data information.

[0028] In the above scheme, the speech recognition unit includes a speech recognition ASR module and a speaker recognition SR module; wherein,

[0029] The SR module is used to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result;

[0030] The ASR module is used to perform voice recognition on the data information to obtain text information when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person.

[0031] In the above solution, the conference management unit includes a conference text module, a conference summary module, a conference audio module and a conference photo module; wherein,

[0032] The conference text module is used to store the text information;

[0033] The meeting summary module is used to obtain the text information; train the text information using the preset large language model to obtain brief information related to the pre-shift meeting;

[0034] The conference audio module is used to store the voice data in the data information;

[0035] The conference photo module is used to store the photos in the data information.

[0036] In the above scheme, the conference evaluation unit includes a conference scoring module and a conference requirement management module; wherein,

[0037] The meeting request management module is used to store the meeting request information;

[0038] The conference scoring module is used to obtain the brief description information; evaluate the text information according to the brief description information and the conference requirement information to obtain the evaluation result.

[0039] In the above scheme, the conference management unit also includes a conference evaluation and recording module; the conference scoring module is connected to the conference evaluation and recording module;

[0040] The conference evaluation record module is used to obtain the evaluation results and store the evaluation results; the evaluation results are used for management personnel to review.

[0041] The embodiment of the present application provides a management method based on pre-shift meetings, which is applied to the management system based on pre-shift meetings described above; the method includes:

[0042] Collecting data information related to pre-shift meetings; the data information includes team information;

[0043] Determine whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information;

[0044] When the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, an evaluation result of the content quality of the pre-shift meeting is determined based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to judge whether the content quality of the pre-shift meeting meets the preset meeting requirements.

[0045] In the above solution, the step of determining the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information includes:

[0046] Determining text information corresponding to the data information;

[0047] Determine brief information related to the pre-shift meeting based on the text information and the preset large language model;

[0048] The text information is evaluated according to the brief information and the meeting request information to obtain the evaluation result.

[0049] In the above solution, the determining the text information corresponding to the data information includes:

[0050] Perform voice recognition on the data information to obtain text information.

[0051] In the above solution, the determining of brief information related to the pre-shift meeting based on the text information and the preset large language model includes:

[0052] The text information is trained using the preset large language model to obtain brief information related to the pre-shift meeting.

[0053] The present application also provides a computer program product, including a computer program, which implements any step of the above method when executed by a processor.

[0054] The present application also provides a storage medium on which a computer program is stored, and when the computer program is executed by a processor, any step of the above-mentioned method is implemented.

[0055] The embodiment of the present application provides a management system, method, product and storage medium based on a pre-shift meeting, the system comprising a terminal and a cloud server; the cloud server comprising a management component for a team and a processing component for a meeting; the management component is connected to the terminal and the processing component respectively; the terminal is used to collect data information related to the pre-shift meeting; the data information comprises team information; the data information is sent to the management component; the management component is used to receive the data information; the data information and the first audio information of the stored team leader are sent to the processing component; the processing component is used to receive the data information and the first audio information; based on the first audio information and the second audio information of the team leader in the team information, it is judged whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person; in the case that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting is determined based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to judge whether the content quality of the pre-shift meeting meets the preset meeting requirements. Adopting the technical solution of the embodiment of the present application, it is judged whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information of the stored team leader and the second audio information of the team leader in the team information; when the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting is determined based on the collected data information related to the pre-shift meeting, the preset large language model and the stored meeting requirement information; the evaluation result is used to judge whether the content quality of the pre-shift meeting meets the preset meeting requirements. That is, combining speech recognition technology and large language model technology to empower the pre-shift meeting management of engineering project management, so that the pre-shift meeting is carried out as required, the meeting content is detailed, and the personnel are in place in time, etc. At the same time, the content of the pre-shift meeting is supervised throughout the process, and the effect of the pre-shift meeting is greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A schematic diagram of a management system based on pre-shift meetings provided in an embodiment of the present application;

[0057] Figure 2 Another schematic diagram of a management system based on pre-shift meetings provided in an embodiment of the present application;

[0058] Figure 3 Another schematic diagram of a management system based on pre-shift meetings provided in an embodiment of the present application;

[0059] Figure 4 This is a schematic diagram of an application scenario of a management system based on pre-shift meetings in an embodiment of the present application;

[0060] Figure 5 A schematic diagram of registering a team in a management system based on a pre-shift meeting in an embodiment of the present application;

[0061] Figure 6 A schematic diagram of a meeting record in a management system based on a pre-shift meeting in an embodiment of the present application;

[0062] Figure 7 A schematic diagram of processing meeting records in a management system based on pre-shift meetings in an embodiment of the present application;

[0063] Figure 8 This is a schematic diagram of an implementation flow of a management method based on a pre-shift meeting according to an embodiment of the present application;

[0064] Fig. 9 This is a structural diagram of a management device based on pre-shift meetings according to an embodiment of the present application. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the specific technical solution of the invention will be further described in detail below in conjunction with the drawings in the embodiments of the present application. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0066] The present application embodiment provides a management system based on pre-shift meetings. Figure 1 A schematic diagram of a management system based on pre-shift meetings provided in an embodiment of the present application; Figure 2 Another schematic diagram of a management system based on pre-shift meetings provided in an embodiment of the present application; Figure 3 Another schematic diagram of a management system based on pre-shift meetings provided in an embodiment of the present application; Figure 1 , Figure 2 and Figure 3 It is understood that the system 100 includes a terminal 101 and a cloud server 102; the cloud server 102 includes a management component 1021 for a team and a processing component 1022 for a meeting; the management component 1021 is connected to the terminal 101 and the processing component 1022 respectively;

[0067] The terminal 101 is used to collect data information related to the pre-shift meeting; the data information includes team information; and send the data information to the management component 1021;

[0068] The management component 1021 is used to receive the data information; send the data information and the first audio information of the stored team leader to the processing component 1022;

[0069] The processing component 1022 is used to receive the data information and the first audio information; based on the first audio information and the second audio information of the team leader in the team information, determine whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person; in the case that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determine the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to determine whether the content quality of the pre-shift meeting meets the preset meeting requirements.

[0070] It should be noted that the system in the management system 100 based on the pre-shift meeting can be determined according to actual conditions and is not limited here. As an example, the management system 100 based on the pre-shift meeting can also be understood as a pre-shift education management system 100.

[0071] The terminal 101 may be any terminal, which is not limited here. As an example, the terminal 101 may be a smart terminal or a mobile terminal. In practical applications, the smart terminal may be referred to as a smart terminal module.

[0072] The cloud server 102 may be any cloud server, which is not limited here. In practical applications, the cloud server 102 may be referred to as a cloud server module.

[0073] The cloud server 102 includes a management component 1021 for work groups and a processing component 1022 for meetings; wherein, the management component 1021 and the processing component 1022 can be determined according to actual conditions and are not limited here. As an example, the management component 1021 can include an information management module 10211 and a voice management module 10212; the processing component 1022 can include a voice recognition unit 10221, a meeting management unit 10222 and a meeting evaluation unit 10223.

[0074] The management component 1021 is connected to the terminal 101 and the processing component 1022 respectively, and the connection can be determined according to actual conditions and is not limited here. As an example, the connection can be a wired connection or a wireless connection; wherein the wired connection can be a wire connection capable of transmitting data; the wireless connection can be a short-range communication technology, such as Bluetooth, Zigbee, etc.; or a long-range communication technology, such as (WiFi, Wireless Fidelity) connection.

[0075] Collect data information related to the pre-shift meeting; wherein the data information can be determined according to actual conditions and is not limited here. As an example, the data information may include team information, voice data, photos and other information.

[0076] The data information includes team information; the team information can be determined according to actual conditions and is not limited here. As an example, the team information can include information such as team name.

[0077] The specific judgment process in judging whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information can be determined according to actual conditions and is not limited here. As an example, judging whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information can be to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result.

[0078] In the case where the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the specific determination process in determining the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information can be determined according to actual conditions and is not limited here. As an example, in the case where the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information can be, when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determining the text information corresponding to the data information; determining the brief description information related to the pre-shift meeting based on the text information and the preset large language model; and evaluating the text information according to the brief description information and the meeting requirement information to obtain the evaluation result.

[0079] In the embodiment of the present application, it is determined whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information of the stored team leader and the second audio information of the team leader in the team information; when the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting is determined based on the collected data information related to the pre-shift meeting, the preset large language model and the stored meeting requirement information; the evaluation result is used to determine whether the content quality of the pre-shift meeting meets the preset meeting requirements. That is, the pre-shift meeting management of engineering project management is enabled by combining speech recognition technology and large language model technology, so that the pre-shift meeting is carried out as required, the meeting content is detailed, and the personnel are in place in a timely manner, etc. At the same time, the content of the pre-shift meeting is supervised throughout the process, and the effect of the pre-shift meeting is greatly improved.

[0080] In an optional embodiment of the present application, the processing component 1022 includes a speech recognition unit 10221, a conference management unit 10222 and a conference evaluation unit 10223; the conference management unit 10222 is connected to the speech recognition unit 10221 and the conference evaluation unit 10223 respectively; wherein,

[0081] The speech recognition unit 10221 is used to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result; if the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determine the text information corresponding to the data information;

[0082] The meeting management unit 10222 is used to determine brief information related to the pre-shift meeting based on the text information and the preset large language model;

[0083] The conference evaluation unit 10223 is used to evaluate the text information according to the brief information and the conference requirement information to obtain the evaluation result.

[0084] It should be noted that the speech recognition unit 10221 can be determined according to actual conditions and is not limited here. As an example, the speech recognition unit 10221 may include an ASR module and a speaker recognition SR module.

[0085] The first audio information is verified with the second audio information of the team leader in the team information, and the verification result obtained can be understood as verifying the first audio information with the second audio information of the team leader in the team information, and obtaining a verification result indicating that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person or indicating that the person corresponding to the first audio information and the person corresponding to the second audio information are not the same person.

[0086] In the case where the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the specific determination process in the text information corresponding to the data information can be determined according to actual conditions, and is not limited here. As an example, in the case where the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the specific determination process in the text information corresponding to the data information can be, in the case where the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, performing voice recognition on the data information to obtain text information.

[0087] The speech recognition unit 10221 can be determined according to actual conditions and is not limited here. As an example, the speech recognition unit 10221 can include an ASR module and a speaker recognition SR module.

[0088] The first audio information is verified with the second audio information of the team leader in the team information, and the verification result obtained can be understood as verifying the first audio information with the second audio information of the team leader in the team information, and obtaining a verification result indicating that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person or indicating that the person corresponding to the first audio information and the person corresponding to the second audio information are not the same person.

[0089] In the case where the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the specific determination process in the text information corresponding to the data information can be determined according to actual conditions, and is not limited here. As an example, in the case where the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the specific determination process in the text information corresponding to the data information can be, in the case where the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, performing voice recognition on the data information to obtain text information.

[0090] The conference management unit 10222 can be determined according to actual conditions and is not limited here. As an example, the conference management unit 10222 can include a conference text module 102221, a conference summary module 102222, a conference audio module 102223 and a conference photo module 102224.

[0091] The specific determination process of determining the summary information related to the pre-shift meeting based on the text information and the preset large language model can be determined according to actual conditions and is not limited here. As an example, the determination of the summary information related to the pre-shift meeting based on the text information and the preset large language model can be to train the text information using the preset large language model to obtain the summary information related to the pre-shift meeting.

[0092] The conference evaluation unit 10223 can be determined according to actual conditions and is not limited here. As an example, the conference evaluation unit 10223 can include a conference scoring module 102231 and a conference requirement management module 102232.

[0093] In an optional embodiment of the present application, the terminal 101 includes a touch screen module 1011, a microphone module 1012, a wireless communication module 1013 and a system-on-chip SOC module 1014; the SOC module 1014 is connected to the touch screen module 1011 and the microphone module 1012 respectively; the SOC module 1014 is connected to the wireless communication module 1013; wherein,

[0094] The touch screen module 1011 is used to receive a registration instruction for a team, register the team based on the registration instruction, and input the team information; the team information includes basic information of the team leader;

[0095] The microphone module 1012 is used to record the first audio information of the team leader within a preset time;

[0096] The SOC module 1014 is used to store the team information and the first audio information.

[0097] It should be noted that the touch screen module 1011 can be any touch screen module, which is not limited here. The registration instruction can be determined according to actual conditions, which is not limited here. As an example, the registration instruction can be an input instruction on the terminal.

[0098] The team information includes the basic information of the team leader; wherein the team information and the basic information of the team leader can be determined according to actual conditions and are not limited here. As an example, the basic information of the team leader can include information such as the team leader's name; the team information can include information such as the team name.

[0099] Registering a team based on the registration instruction and entering the team information can be understood as registering a team according to the registration instruction and entering the team information. In practical applications, the terminal 101 can be a mobile terminal, and the team registration is performed in the mobile terminal, and the team leader name and team name are entered respectively. This process can be referred to as team registration, team leader name registration, and team name registration.

[0100] The microphone module 1012 can be any microphone device and is not limited here. The first audio information of the team leader within the preset time is recorded; wherein the preset time can be determined according to the actual situation and is not limited here. As an example, the preset time can be 30 seconds. The first audio information can be determined according to the actual situation and is not limited here. As an example, the first audio information can be understood as voice. In actual application, a voice of about 30 seconds of the team leader is recorded.

[0101] The SOC module 1014, which is used to store the team information and the first audio information, can be understood as the SOC module 1014 is responsible for storing the team information and the first audio information.

[0102] In an optional embodiment of the present application, the terminal 101 further includes a speaker module 1015 and a camera module 1016; the SOC module 1014 is connected to the speaker module 1015 and the camera module 1016 respectively; the SOC module 1014 is connected to the wireless communication module 1013; wherein,

[0103] The microphone module 1012 is also used to collect voice data during the pre-shift meeting activity;

[0104] The camera module 1016 is used to collect photos during the pre-shift meeting activities;

[0105] The speaker module 1015 is used to receive the review instruction of the team leader after completing the pre-shift meeting, and play the voice data based on the review instruction;

[0106] The SOC module 1014 is further configured to store the voice data and the photo if the voice data is accurately recorded; and use the team information, the voice data and the photo as the data information;

[0107] The wireless communication module 1013 is further used to send the data information and the first audio information to the management component 1021 .

[0108] In this embodiment, the microphone module 1012 can be any microphone device, which is not limited here. The microphone module 1012 is also used to collect voice data during the pre-shift meeting activity, which can be understood as the microphone module 1012 is responsible for collecting voice data during the pre-shift meeting activity.

[0109] The camera module 1016 can be any camera device, which is not limited here. The camera module 1016 is used to collect photos during the pre-shift meeting activity, which can be understood as the camera module 1016 is responsible for collecting photos during the pre-shift meeting activity.

[0110] The speaker module 1015 can be any speaker device, which is not limited here. After completing the pre-shift meeting, the review instruction of the team leader is received, and the voice data is played based on the review instruction; wherein, the review instruction can be determined according to the actual situation, which is not limited here. As an example, the review instruction can be a review input. In actual applications, the speaker module 1015 can be responsible for playing the voice data collected during the pre-shift meeting activity.

[0111] The SOC module 1014 can be any SOC device and is not limited here. The SOC module 1014 is also used to store the voice data and the photo when the voice data is recorded accurately; and the team information, the voice data and the photo are used as the data information, which can be understood as the SOC module: responsible for the CPU, memory, and storage processing of the smart terminal.

[0112] The wireless communication module 1013 can be any wireless communication device and is not limited here. The wireless communication module 1013 is also used to send the data information and the first audio information to the management component 1021, which can be understood as the wireless communication module is responsible for uploading the conference data collected by the smart terminal to the management component 1021 in the cloud server.

[0113] In practical applications, as an example, the terminal 101 can be called an intelligent terminal module, and the intelligent terminal module contains a wireless communication module, a SOC module, a microphone module, a speaker module, and a camera module. Among them, the wireless communication module is responsible for uploading the meeting data collected by the intelligent terminal module to the cloud server module, and receiving the meeting evaluation results returned by the cloud server module; the microphone module is responsible for collecting voice data during the pre-shift meeting activities; the speaker module is responsible for playing the voice data collected during the pre-shift meeting activities; the touch screen module is responsible for providing human-computer interaction capabilities, and the user can set the operation by clicking; the camera module is responsible for collecting photos in the pre-shift meeting activities; the SOC module is responsible for the CPU, memory, and storage processing of the intelligent terminal device. After the team enters the site, the project manager guides the configuration of the mobile terminal, registers the team in the mobile terminal, enters the name of the team leader, the team name, and a 30-second voice respectively, and after the entry is completed, the mobile terminal module sends the team registration data to the team management module of the cloud server module for storage.

[0114] In an optional embodiment of the present application, the management component 1021 includes an information management module 10211 and a voice management module 10212; the wireless communication module 1013 is connected to the management component 10211; wherein,

[0115] The voice management module 10212 is used to receive the first audio information and store the first audio information;

[0116] The information management module 10211 is used to receive the data information and store the data information.

[0117] It should be noted that the wireless communication module 1013 is connected to the management component 10211; the connection can be determined according to actual conditions and is not limited here. As an example, the connection can be a wired connection or a wireless connection; wherein the wired connection can be a wire connection capable of transmitting data; the wireless connection can be a short-range communication technology, such as Bluetooth, Zigbee, etc.; or a long-range communication technology, such as WiFi connection.

[0118] The management component 1021 can be determined according to actual conditions and is not limited here. As an example, the management component 1021 can be a team management component. In actual applications, the team management component can also be called a team management module.

[0119] The information management module 10211 can be determined according to actual conditions and is not limited here. As an example, the information management module 10211 can be referred to as team leader information management.

[0120] The voice management module 10212 can be determined according to actual conditions and is not limited here. As an example, the voice management module 10212 can be a team leader voice management module. In actual applications, the team leader voice management module can also be referred to as team leader sound management.

[0121] The first audio information and the data information can be determined according to actual conditions, and are not limited here. As an example, the first audio information may include the audio information of the team leader; and the data information may include basic team information.

[0122] In practical applications, the team management module can store basic team information and audio information of the team leader.

[0123] In an optional embodiment of the present application, the speech recognition unit 10221 includes a speech recognition ASR module 102211 and a speaker recognition SR module 102212; wherein,

[0124] The SR module 102212 is used to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result;

[0125] The ASR module 102211 is used to perform voice recognition on the data information to obtain text information when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person.

[0126] In this embodiment, the SR module 102212 is connected to the ASR module 102211, and the connection can be determined according to actual conditions and is not limited here. As an example, the connection can be a wired connection or a wireless connection; wherein the wired connection can be a wire connection capable of transmitting data; the wireless connection can be a short-range communication technology, such as Bluetooth, Zigbee, etc.; or a long-range communication technology, such as WiFi connection, can be used.

[0127] The speech recognition unit 10221 can be determined according to actual conditions and is not limited here. In practical applications, the speech recognition unit 10221 can also be called a speech recognition module.

[0128] The SR module 102212 can be determined according to actual conditions and is not limited here. As an example, the SR module 102212 can also be called a speaker recognition module.

[0129] The specific verification process in obtaining the verification result of verifying the first audio information with the second audio information of the team leader in the team information can be determined according to actual conditions and is not limited here. As an example, the verification result of verifying the first audio information with the second audio information of the team leader in the team information can be the verification of the first audio information with the second audio information of the team leader in the team information to obtain a verification result indicating that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person or indicating that the person corresponding to the first audio information and the person corresponding to the second audio information are not the same person.

[0130] The ASR module 102211 can be determined according to actual conditions and is not limited here. As an example, the ASR module 102211 can also be called a speech recognition module.

[0131] The specific recognition process of performing voice recognition on the data information to obtain text information can be determined according to actual conditions and is not limited here when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, and the specific recognition process of performing voice recognition on the data information to obtain text information can be determined according to actual conditions and is not limited here. As an example, when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, performing voice recognition on the data information to obtain text information can be when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, performing voice recognition on the data information and converting it into text information.

[0132] In actual applications, after the cloud server module receives the pre-shift meeting data uploaded by the mobile terminal, it first obtains the corresponding team information, obtains the audio data of the team leader of the corresponding team and the pre-shift meeting audio data from the team management module; sends the team leader audio data and the pre-shift meeting audio data to the speech recognition module, and the speech recognition module uses the speaker recognition function to verify whether the audio in the pre-shift meeting and the audio of the team leader are the same person. If the judgment fails, it returns the identity verification failure to the smart terminal, and if the judgment passes, it enters the subsequent processing flow. After the judgment passes, first record the photos and audio data of the pre-shift meeting to the pre-shift meeting management module; send the pre-shift meeting audio data to the speech recognition module, and use the speech recognition function to transcribe the audio data into text data; record the transcribed text data.

[0133] In an optional embodiment of the present application, the conference management unit 10222 includes a conference text module 102221, a conference summary module 102222, a conference audio module 102223 and a conference photo module 102224; wherein,

[0134] The conference text module 102221 is used to store the text information;

[0135] The meeting summary module 102222 is used to obtain the text information; train the text information using the preset large language model to obtain brief information related to the pre-shift meeting;

[0136] The conference audio module 102223 is used to store the voice data in the data information;

[0137] The conference photo module 102224 is used to store the photos in the data information.

[0138] It should be noted that the conference text module 102221 can be connected to the conference summary module 102222, and the connection can be determined according to actual conditions and is not limited here. As an example, the connection can be a wired connection or a wireless connection; wherein the wired connection can be a wire connection capable of transmitting data; the wireless connection can be a short-range communication technology, such as Bluetooth, Zigbee, etc.; or a long-range communication technology, such as WiFi connection.

[0139] The conference management unit 10222 can be any conference management device, which is not limited here. In practical applications, the conference management unit 10222 can also be called a conference management module. The conference management module can store each pre-shift meeting data, including conference audio data, conference text data, conference summary data, conference photo data, and conference evaluation data.

[0140] The conference text module 102221 can be any conference text device and is not limited here. The conference text module 102221 is responsible for storing the text information.

[0141] The conference text module 102221 can be connected to the conference summary module 102222. The connection can be determined according to actual conditions and is not limited here. As an example, the connection can be a wired connection or a wireless connection; wherein the wired connection can be a wire connection capable of transmitting data; the wireless connection can be a short-range communication technology, such as Bluetooth, Zigbee, etc.; or a long-range communication technology, such as WiFi connection.

[0142] The conference summary module 102222 can be any conference summary device and is not limited here.

[0143] The using of the preset large language model to train the text information to obtain the brief information related to the pre-shift meeting can be using the preset large language model to learn and train the text information to obtain the brief information related to the pre-shift meeting; wherein the large language model can be determined according to actual conditions and is not limited here. As an example, the large language model can be understood as a deep learning model trained with a large amount of text data, which can generate natural language text or understand the meaning of language text.

[0144] The conference audio module 102223 may be any conference audio device and is not limited here. The conference audio module 102223 may be responsible for storing the voice data in the data information;

[0145] The conference photo module 102224 may be any conference photo device and is not limited here. The conference photo module 102224 may be responsible for storing the photos in the data information.

[0146] In an optional embodiment of the present application, the conference evaluation unit 10223 includes a conference scoring module 102231 and a conference request management module 102232; wherein,

[0147] The meeting request management module 102232 is used to store the meeting request information;

[0148] The conference scoring module 102231 is used to obtain the brief description information; evaluate the text information according to the brief description information and the conference requirement information to obtain the evaluation result.

[0149] In this embodiment, the conference evaluation unit 10223 can be any conference evaluation device and is not limited here; in actual applications, the conference evaluation unit 10223 can also be called a conference evaluation module.

[0150] The meeting request management module 102232 can be any meeting request management device, which is not limited here; in actual application, the meeting request management module 102232 can also be referred to as meeting request management. The meeting request management module 102232 is responsible for storing the meeting request information

[0151] The conference scoring module 102231 can be any conference scoring device and is not limited here. In practical applications, the conference scoring module 102231 can be referred to as conference scoring.

[0152] The evaluating the text information according to the brief description information and the meeting requirement information to obtain the evaluation result may be performing a scoring evaluation on the text information according to the brief description information and the meeting requirement information to obtain the evaluation result including the scoring evaluation.

[0153] In actual applications, the text data is sent to the conference evaluation module, which combines the text data with the prompt words and sends them to the large language module to obtain a summary of the conference text, for example:

[0154] Tips:

[0155] Please generate a summary of no more than 200 words from the following meeting text. The summary should include the main topics, important decisions and key conclusions of the meeting. Please ensure that the summary is accurate, concise and easy to understand.

[0156] Conference text:

[0157] {Conference text content};

[0158] summary:

[0159] The text data is sent to the meeting evaluation module. The meeting evaluation module first obtains the meeting content requirements from the meeting requirements module, and sends the text data, meeting requirements and prompt words to the large language module to obtain the evaluation of the meeting text, for example:

[0160] Tips:

[0161] Your task is to judge whether the following meeting content meets the requirements based on the meeting requirements, and give a score and reasons for the score.

[0162] In the scoring criteria, the score is 1-5, 1 is the lowest score, 5 is the full score, and 4 or above is a pass:

[0163] 1. Violation of any meeting requirement will result in 1-2 points;

[0164] 2. Missing some key points in the meeting request, 2-3 points;

[0165] 3. If the meeting content is detailed and meets all meeting requirements, 4-5 points will be awarded.

[0166] Meeting requirements:

[0167] {Content of meeting request};

[0168] Conference content:

[0169] {Conference text content};

[0170] Sample output:

[0171] 4. The content of the meeting met all the meeting requirements and key points, but the explanation was not detailed and clear enough;

[0172] Judgment result:

[0173] Record the generated meeting text, meeting summary, and meeting evaluation in the meeting management module:

[0174] Determine whether the quality of the meeting meets the standards. If so, end the meeting. Otherwise, notify the team leader and management personnel respectively.

[0175] In an optional embodiment of the present application, the conference evaluation unit 10223 also includes a text summary unit; the text summary unit is used to store the text summary.

[0176] In an optional embodiment of the present application, the conference management unit 10222 further includes a conference evaluation recording module 102225; the conference scoring module 102231 is connected to the conference evaluation recording module 102225;

[0177] The meeting evaluation record module 102225 is used to obtain the evaluation results and store the evaluation results; the evaluation results are used for management personnel to review.

[0178] In this embodiment, the meeting evaluation recording module 102225 can be any meeting evaluation recording device and is not limited here.

[0179] The evaluation results are used for review by management personnel, wherein the management personnel may be determined according to actual conditions, which is not limited here. As an example, the management personnel may be project management personnel.

[0180] As an example, the management system based on pre-shift meetings in this application can be specifically a pre-shift meeting management system. The system can be composed of a smart terminal and a cloud server. Figure 4 To understand, Figure 4 Schematic diagram of application scenario of a management system based on pre-shift meetings in an embodiment of the present application.

[0181] The intelligent terminal may include a wireless communication module, a SOC module, a microphone module, a speaker module, a camera module,

[0182] 1. Composition of intelligent terminals:

[0183] 1. Wireless communication module: responsible for uploading the conference data collected by the intelligent terminal module to the cloud server module, and receiving the conference evaluation results returned by the cloud server module;

[0184] 2. Microphone module: responsible for collecting voice data during pre-shift meeting activities;

[0185] 3. Speaker module: responsible for playing the voice data collected during the pre-shift meeting activities;

[0186] 4. Touch screen module: responsible for providing human-computer interaction capabilities, and users can perform operations and settings by clicking;

[0187] 5. Camera module: responsible for collecting photos from pre-shift meeting activities;

[0188] 6. SOC module: responsible for the CPU, memory, and storage processing of smart terminal devices.

[0189] 2. Cloud server composition:

[0190] 1. Team management module: stores basic team information and audio information of the team leader;

[0191] 2. Meeting management module: stores the data of each pre-shift meeting, including meeting audio data, meeting text data, meeting summary data, meeting photo data, and meeting evaluation data;

[0192] 3. Speech recognition module: provides speech-to-text conversion and speaker identification capabilities;

[0193] 4. Meeting evaluation module: provides text summary capabilities, meeting scoring capabilities, and meeting requirements management;

[0194] First, team registration. This content can be combined with Figure 5 To understand, Figure 5 A schematic diagram of registering a team in a management system based on a pre-shift meeting in an embodiment of the present application.

[0195] After the team enters the site, the project manager will guide them to equip the mobile terminal, register the team in the mobile terminal, enter the name of the team leader, the team name, and a 30-second voice message. After the entry is completed, the mobile terminal module will send the team registration data to the team management module of the cloud server module for storage.

[0196] Second, meetings require management.

[0197] Project managers record meeting requirements in the meeting requirements management module of the cloud server module, such as meeting duration requirements, key points of security briefings to be included in the meeting, key points of work tasks required for the meeting, and that the meeting content cannot contain sensitive information. Meeting requirements are stored in the meeting requirements management module.

[0198] Meeting requirements can be modified at any time during the project lifecycle.

[0199] Third, meeting minutes. This content can be combined with Figure 6 To understand, Figure 6This is a schematic diagram of meeting records in a management system based on pre-shift meetings in an embodiment of the present application.

[0200] After the daily pre-shift meeting begins, the team leader first logs in to the team in the smart terminal module, then adds a new pre-shift meeting record, takes photos of the on-site meeting, and then begins the pre-shift meeting speech; the microphone module of the smart terminal will automatically begin recording the audio data of the pre-shift meeting.

[0201] After completing the pre-shift meeting, the team leader can click to view the audio recording, and the speaker module will play the recording data;

[0202] After completing the pre-shift meeting, the team leader can click to upload the meeting minutes, and the smart terminal module will upload the team information, photo information, and audio information of the meeting to the team management module of the cloud server module.

[0203] Fourth, meeting record processing. This content can be combined with Figure 7 To understand, Figure 7 This is a schematic diagram of meeting records in a management system based on pre-shift meetings in an embodiment of the present application.

[0204] After the cloud server module receives the pre-shift meeting data uploaded by the mobile terminal, it first obtains the corresponding team information, obtains the audio data of the team leader of the corresponding team and the pre-shift meeting audio data from the team management module; sends the team leader audio data and the pre-shift meeting audio data to the speech recognition module. The speech recognition module uses the speaker recognition function to verify whether the audio in the pre-shift meeting and the audio of the team leader are from the same person. If it is judged that it fails, it returns the identity verification failure to the smart terminal. If it is judged that it passes, it enters the subsequent processing flow.

[0205] After the judgment is passed, the photos and audio data of the pre-shift meeting are first recorded in the pre-shift meeting management module;

[0206] Send the pre-shift meeting audio data to the speech recognition module, and use the speech recognition function to transcribe the audio data into text data;

[0207] Record the transcribed text data;

[0208] The text data is sent to the conference evaluation module, which combines the text data with the prompt words and sends them to the large language module to obtain a summary of the conference text, for example:

[0209] Tips:

[0210] Please generate a summary of no more than 200 words from the following meeting text. The summary should include the main topics, important decisions and key conclusions of the meeting. Please ensure that the summary is accurate, concise and easy to understand.

[0211] Conference text:

[0212] {Conference text content}

[0213] summary:

[0214] The text data is sent to the meeting evaluation module. The meeting evaluation module first obtains the meeting content requirements from the meeting requirements module, and sends the text data, meeting requirements and prompt words to the large language module to obtain the evaluation of the meeting text, for example:

[0215] Tips:

[0216] Your task is to judge whether the following meeting content meets the requirements based on the meeting requirements, and give a score and reasons for the score.

[0217] In the scoring criteria, the score is 1-5, 1 is the lowest, 5 is the full score, and 4 or above is qualified;

[0218] 1. Violation of any meeting requirement will result in 1-2 points;

[0219] 2. Missing some key points in the meeting requirements, 2-3 points;

[0220] 3. If the meeting content is detailed and meets all meeting requirements, 4-5 points will be awarded.

[0221] Meeting requirements:

[0222] {Content of meeting request}

[0223] Conference content:

[0224] {Conference text content}

[0225] Sample output:

[0226] 4. The content of the meeting met all the meeting requirements and key points, but the explanation was not detailed and clear enough.

[0227] Judgment result:

[0228] Record the generated meeting text, meeting summary, and meeting evaluation in the meeting management module:

[0229] Determine whether the quality of the meeting meets the standards. If so, end the meeting. Otherwise, notify the team leader and management personnel respectively. This application uses a mobile smart terminal to complete the image data collection during the pre-shift meeting, including on-site photos and meeting audio, and transmit the photo and audio data to the cloud platform;

[0230] In this application, the speech recognition module and speaker recognition module in the cloud platform transcribe the conference speech data into text data, and then use the large language model to summarize the conference content and evaluate the quality, and push the evaluation results to project managers and conference organizers.

[0231] This application can achieve automatic monitoring and evaluation of the quality of pre-shift meetings through the above method, which is convenient for project managers to understand the quality of pre-shift meetings of each team at a glance and improve management efficiency.

[0232] This application automatically collects the content of pre-shift meetings without the need for managers to be on-site; it also automatically evaluates the quality of pre-shift meetings, generates scores and summaries, and notifies relevant personnel of non-compliance, making it easier for managers to understand the progress and quality of pre-shift meetings at a glance, thereby improving the efficiency of pre-shift meeting management.

[0233] The management system based on pre-shift meetings provided in the embodiment of the present application determines whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information of the stored team leader and the second audio information of the team leader in the team information; when the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting is determined based on the collected data information related to the pre-shift meeting, the preset large language model and the stored meeting requirement information; the evaluation result is used to determine whether the content quality of the pre-shift meeting meets the preset meeting requirements. That is, the pre-shift meeting management of engineering project management is enabled by combining speech recognition technology and large language model technology, so that the pre-shift meeting is carried out as required, the meeting content is detailed, and the personnel are in place in time, etc. At the same time, the content of the pre-shift meeting is supervised throughout the process, and the effect of the pre-shift meeting is greatly improved.

[0234] Based on the above-mentioned management system 100 based on pre-shift meetings, the present application also provides a management method based on pre-shift meetings, which is applied to the above-mentioned management system 100 based on pre-shift meetings. Figure 8 This is a schematic diagram of an implementation flow of a management method based on a pre-shift meeting according to an embodiment of the present application. Figure 8 As shown, the method includes:

[0235] Step S801, collecting data information related to the pre-shift meeting; the data information includes team information.

[0236] Step S802: Based on the first audio information and the second audio information of the team leader in the team information, it is determined whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person.

[0237] Step S803, when the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determine the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to judge whether the content quality of the pre-shift meeting meets the preset meeting requirements.

[0238] In step S801, data information related to the pre-shift meeting is collected; wherein the data information can be determined according to actual conditions and is not limited here. As an example, the data information may include team information, voice data, photos and other information.

[0239] In step S802, the specific judgment process of judging whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information can be determined according to actual conditions and is not limited here. As an example, judging whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information can be to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result.

[0240] In step S803, in the case where the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the specific determination process in determining the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information can be determined according to actual conditions and is not limited here. As an example, in the case where the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information can be, when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determining the text information corresponding to the data information; determining the brief information related to the pre-shift meeting based on the text information and the preset large language model; and evaluating the text information according to the brief information and the meeting requirement information to obtain the evaluation result.

[0241] In the embodiment of the present application, it is determined whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information of the stored team leader and the second audio information of the team leader in the team information; when the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, the evaluation result of the content quality of the pre-shift meeting is determined based on the collected data information related to the pre-shift meeting, the preset large language model and the stored meeting requirement information; the evaluation result is used to determine whether the content quality of the pre-shift meeting meets the preset meeting requirements. That is, the pre-shift meeting management of engineering project management is enabled by combining speech recognition technology and large language model technology, so that the pre-shift meeting is carried out as required, the meeting content is detailed, and the personnel are in place in a timely manner, etc. At the same time, the content of the pre-shift meeting is supervised throughout the process, and the effect of the pre-shift meeting is greatly improved.

[0242] In an optional embodiment of the present application, the step of determining the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information includes:

[0243] Determining text information corresponding to the data information;

[0244] Determine brief information related to the pre-shift meeting based on the text information and the preset large language model;

[0245] The text information is evaluated according to the brief information and the meeting request information to obtain the evaluation result.

[0246] It should be noted that the specific determination process of determining the text information corresponding to the data information can be determined according to actual conditions and is not limited here. As an example, the specific determination process of determining the text information corresponding to the data information can be to perform voice recognition on the data information to obtain text information.

[0247] The specific determination process in determining the summary information related to the pre-shift meeting based on the text information and the preset large language model can be determined according to actual conditions and is not limited here. As an example, the determination of the summary information related to the pre-shift meeting based on the text information and the preset large language model can be to train the text information using the preset large language model to obtain the summary information related to the pre-shift meeting.

[0248] In an optional embodiment of the present application, the determining text information corresponding to the data information includes:

[0249] Perform voice recognition on the data information to obtain text information.

[0250] It should be noted that the specific recognition process of performing voice recognition on the data information to obtain text information can be determined according to actual conditions and is not limited here. As an example, performing voice recognition on the data information to obtain text information can be performing voice recognition on the data information and converting it into text information.

[0251] In an optional embodiment of the present application, the determining the brief information related to the pre-shift meeting based on the text information and the preset large language model includes:

[0252] The text information is trained using the preset large language model to obtain brief information related to the pre-shift meeting.

[0253] It should be noted that the use of the preset large language model to train the text information to obtain the brief information related to the pre-shift meeting can be to use the preset large language model to learn and train the text information to obtain the brief information related to the pre-shift meeting; wherein the large language model can be determined according to actual conditions and is not limited here. As an example, the large language model can be understood as a deep learning model trained with a large amount of text data, which can generate natural language text or understand the meaning of language text.

[0254] The detailed process of the management method based on the pre-shift meeting of the present application can be understood in conjunction with the previous management system based on the pre-shift meeting, and will not be repeated here.

[0255] An embodiment of the present invention further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the above method embodiment are implemented.

[0256] An embodiment of the present application also provides a computer-readable medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method embodiment are implemented. The aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0257] It should be noted here that the description of the above storage medium and product embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0258] It should be noted that Fig. 9This is a schematic diagram of the structure of the management device based on the pre-shift meeting in the embodiment of the present application. Fig. 9 As shown, the management device 900 includes: a processor 901 and a memory 903 . Optionally, the management device 900 may also include a communication interface 902 .

[0259] It can be understood that the memory 903 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or a tape memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAMbus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 903 described in the embodiments of the present application is intended to include but is not limited to these and any other suitable types of memories.

[0260] The method disclosed in the above embodiment of the present application can be applied to the processor 901, or implemented by the processor 901. The processor 901 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 901. The above processor 901 may be a general processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 901 can implement or execute the methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general processor can be a microprocessor or any conventional processor, etc. In combination with the steps of the method disclosed in the embodiment of the present application, it can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the memory 903, and the processor 901 reads the information in the memory 903 and completes the steps of the above method in combination with its hardware.

[0261] In an exemplary embodiment, the device may be implemented by one or more application specific integrated circuits (ASIC), DSP, programmable logic device (PLD), complex programmable logic device (CPLD), field programmable gate array (FPGA), general processor, controller, microcontroller (MCU), microprocessor, or other electronic components to execute the aforementioned method.

[0262] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned sequence numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

[0263] It should be noted that, in this application, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0264] The methods disclosed in several method embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments.

[0265] The features disclosed in several product embodiments provided in this application can be arbitrarily combined without conflict to obtain new product embodiments.

[0266] The features disclosed in several method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0267] The above is only an implementation method of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A management system based on pre-shift meetings, characterized in that: The system includes a terminal and a cloud server; the cloud server includes a management component for a team and a processing component for a meeting; the management component is connected to the terminal and the processing component respectively; The terminal is used to collect data information related to the pre-shift meeting; the data information includes team information; and send the data information to the management component; The management component is used to receive the data information; send the data information and the first audio information of the stored team leader to the processing component; The processing component is used to receive the data information and the first audio information; Determine whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information; When the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, an evaluation result of the content quality of the pre-shift meeting is determined based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to judge whether the content quality of the pre-shift meeting meets the preset meeting requirements.

2. The system according to claim 1, characterized in that The processing component includes a speech recognition unit, a conference management unit and a conference evaluation unit; the conference management unit is connected to the speech recognition unit and the conference evaluation unit respectively; wherein, The speech recognition unit is used to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result; if the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, determine the text information corresponding to the data information; The conference management unit is used to determine brief information related to the pre-shift meeting based on the text information and the preset large language model; The conference evaluation unit is used to evaluate the text information according to the brief information and the conference requirement information to obtain the evaluation result.

3. The system according to claim 1, characterized in that The terminal includes a touch screen module, a microphone module, a wireless communication module and a system-on-chip (SOC) module; the SOC module is connected to the touch screen module and the microphone module respectively; the SOC module is connected to the wireless communication module; wherein, The touch screen module is used to receive a registration instruction for a team, register the team based on the registration instruction, and input the team information; the team information includes basic information of the team leader; The microphone module is used to record the first audio information of the team leader within a preset time; The SOC module is used to store the team information and the first audio information.

4. The system according to claim 3, characterized in that The terminal further includes a speaker module and a camera module; the SOC module is connected to the speaker module and the camera module respectively; the SOC module is connected to the wireless communication module; wherein, The microphone module is also used to collect voice data during the pre-shift meeting activity; The camera module is used to collect photos during the pre-shift meeting activities; The speaker module is used to receive the review instruction of the team leader after completing the pre-shift meeting, and play the voice data based on the review instruction; The SOC module is further used to store the voice data and the photo when the voice data is accurately recorded; and use the team information, the voice data and the photo as the data information; The wireless communication module is also used to send the data information and the first audio information to the management component.

5. The system according to claim 4, characterized in that The management component includes an information management module and a voice management module; the wireless communication module is connected to the management component; wherein, The voice management module is used to receive the first audio information and store the first audio information; The information management module is used to receive the data information and store the data information.

6. The system according to claim 5, characterized in that The speech recognition unit includes a speech recognition ASR module and a speaker recognition SR module; wherein, The SR module is used to verify the first audio information with the second audio information of the team leader in the team information to obtain a verification result; The ASR module is used to perform voice recognition on the data information to obtain text information when the verification result indicates that the person corresponding to the first audio information and the person corresponding to the second audio information are the same person.

7. The system according to claim 2, characterized in that The conference management unit includes a conference text module, a conference summary module, a conference audio module and a conference photo module; wherein, The conference text module is used to store the text information; The meeting summary module is used to obtain the text information; train the text information using the preset large language model to obtain brief information related to the pre-shift meeting; The conference audio module is used to store the voice data in the data information; The conference photo module is used to store the photos in the data information.

8. The system according to claim 7, characterized in that The conference evaluation unit includes a conference scoring module and a conference requirement management module; wherein, The meeting request management module is used to store the meeting request information; The conference scoring module is used to obtain the brief description information; evaluate the text information according to the brief description information and the conference requirement information to obtain the evaluation result.

9. The system according to claim 8, characterized in that The conference management unit also includes a conference evaluation and recording module; the conference scoring module is connected to the conference evaluation and recording module; The conference evaluation record module is used to obtain the evaluation results and store the evaluation results; the evaluation results are used for management personnel to review.

10. A management method based on pre-shift meetings, characterized in that: Applicable to the management system based on pre-shift meetings according to any one of claims 1 to 9; the method comprises: Collecting data information related to pre-shift meetings; the data information includes team information; Determine whether the person corresponding to the first audio information and the person corresponding to the second audio information are the same person based on the first audio information and the second audio information of the team leader in the team information; When the person corresponding to the first audio information and the person corresponding to the second audio information are the same person, an evaluation result of the content quality of the pre-shift meeting is determined based on the data information, the preset large language model and the stored meeting requirement information; the evaluation result is used to judge whether the content quality of the pre-shift meeting meets the preset meeting requirements.

11. The method according to claim 10, characterized in that The step of determining the evaluation result of the content quality of the pre-shift meeting based on the data information, the preset large language model and the stored meeting requirement information includes: Determining text information corresponding to the data information; Determine brief information related to the pre-shift meeting based on the text information and the preset large language model; The text information is evaluated according to the brief information and the meeting request information to obtain the evaluation result.

12. The method according to claim 11, characterized in that The determining of text information corresponding to the data information includes: Perform voice recognition on the data information to obtain text information.

13. The method according to claim 11, characterized in that The determining of brief information related to the pre-shift meeting based on the text information and the preset large language model includes: The text information is trained using the preset large language model to obtain brief information related to the pre-shift meeting.

14. A computer program product comprising a computer program, characterized in that The computer program implements the steps of the method according to any one of claims 10 to 13 when executed by a processor.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 10 to 13 are implemented.

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