Intelligent digital conference management system based on data analysis

Abstract

The invention discloses an intelligent digital conference management system based on data analysis, which relates to the field of conference management and comprises a conference indoor monitoring module, a conference outdoor monitoring module, a recovery equipment monitoring module, a data processing module and an information sending module. The conference indoor monitoring module is used for monitoring the interior of a conference room of the intelligent digital conference to obtain the interior information of the conference room; the conference outdoor monitoring module is used for monitoring the exterior of a conference room of the intelligent digital conference to obtain conference room external information; the data processing module is used for processing the internal information of the conference room to obtain management and control information in the conference room; processing the external information of the conference room to obtain external management and control information of the conference room; the information sending module is used for sending the conference room internal information and the conference room external control information to a preset receiving terminal. According to the invention, more efficient and intelligent digital conference management can be carried out.

Description

Technical Field

[0001] The present invention relates to the field of conference management, and in particular to an intelligent digital conference management system based on data analysis. Background Art

[0002] As enterprises continue to increase their requirements for meeting efficiency and quality, the traditional conference room management model can no longer meet the needs. Intelligent conference rooms integrate multiple advanced technologies to achieve full digital management and automated control of meetings, becoming an important development direction for modern office environments. The traditional conference management model can no longer meet the needs of efficiency, safety and comfort. Common problems in meetings, such as uncomfortable environment, disorder, and personnel management omissions, need to be solved through intelligent means. The concept of smart office emphasizes the optimization of resource allocation and user experience through technology. Therefore, an intelligent digital conference management system based on data analysis is proposed. Summary of the invention

[0003] The technical problem to be solved by the present invention is: how to solve the problems of low management intelligence and low efficiency in the existing management system, and provides an intelligent digital conference management system based on data analysis.

[0004] The present invention solves the above technical problems through the following technical solutions. The present invention includes a monitoring module inside the conference room, a monitoring module outside the conference room, a recycling equipment monitoring module, a data processing module and an information sending module; The conference room monitoring module is used to monitor the interior of the conference room of the intelligent digital conference and obtain the internal information of the conference room; The outdoor monitoring module of the conference room is used to monitor the outside of the conference room of the intelligent digital conference and obtain the external information of the conference room; The recycling equipment monitoring module is used to monitor the recycling equipment in the conference room of the intelligent digital conference and obtain the recycling equipment information; The data processing module is used to process the internal information of the conference room and obtain the control information in the conference room; Process the external information of the conference room and obtain the control information outside the conference room; Process the recycling equipment information and obtain the recycling equipment management and control information; The information sending module is used to send the internal control information of the conference room, the external control information of the conference room and the recycling equipment control information to a preset receiving terminal.

[0005] Furthermore, the specific process of the conference room monitoring module monitoring the interior of the conference room of the intelligent digital conference to obtain the information inside the conference room is as follows: The monitoring module in the conference room is a robot with image acquisition and environment acquisition functions; Collect environmental information in the conference room in real time before and during the meeting; At a preset time before the meeting starts, facial images of conference room occupants are collected, and images in the conference room are continuously collected during the meeting.

[0006] Furthermore, the process of obtaining the control information in the conference room is as follows: Extract the environmental information of the conference room before the meeting starts, including the ambient temperature, ambient humidity and ambient dust concentration; When the ambient temperature information exceeds the standard range, control information for the conference room is generated; When the ambient humidity is greater than the preset value, control information for the conference room is generated; When the ambient dust concentration is greater than the preset concentration, control information for the conference room is generated; Extract the environmental information collected in the conference room during the meeting, including the ambient brightness, ambient temperature and ambient humidity; The process of processing the ambient temperature and humidity in the conference room during the meeting to generate the control information in the conference room is the same as the process of processing the ambient temperature and humidity in the control information in the conference room before the meeting starts; The ambient brightness is processed, and when the ambient brightness information exceeds the preset range, control information for the conference room is generated.

[0007] Furthermore, the facial images of the people in the conference room are processed to extract the facial features of all the people in the conference room, and the facial features of all the people in the conference room are imported into the database for matching and identification. The database stores the facial features of all the people allowed to attend the meeting. When there are people in the meeting room whose facial features are not matched in the database, the meeting room control information is generated.

[0008] Further, the image in the conference room is extracted, voice is extracted from the image in the conference room to obtain voice information, the voice information is processed to obtain voice volume information, and then speech speed recognition is performed on the voice to obtain speech speed information; At the same time, the images in the conference room are processed to extract the human body model, perform posture recognition on the human body model, and extract the total number of times standing up from the seat; When any two or more of the following occur simultaneously: the voice volume information is greater than the preset value, the speech speed information is greater than the preset value, and the total number of times of standing up from the seat is greater than the preset value, an abnormal state is entered; The ambient temperature information and ambient humidity information at this time are extracted. When the ambient temperature information at this time is greater than the preset value a1 and the humidity is greater than the preset value b1, the control information in the conference room is generated; At this time, the content of the control information in the conference room is to adjust the temperature in the conference room to the preset temperature a2, and adjust the humidity in the conference room to b2; a2<a1,b1>b2.

[0009] Furthermore, the outdoor monitoring module of the conference room monitors the outside of the conference room of the intelligent digital conference, and the process of obtaining the external information of the conference room is as follows: The outdoor monitoring module of the conference room includes an image acquisition device and a movable robot with sound acquisition function; The outdoor monitoring module of the conference room collects real-time image information and real-time sound information outside the conference room.

[0010] Furthermore, the process of obtaining the control information outside the meeting room is as follows: Extract the real-time image information outside the conference room, process the real-time image information, and establish a warning area; First, the midpoint of the conference room entrance is extracted, and a circle is drawn with a preset radius with the midpoint of the conference room entrance as the center to obtain a preliminary selected area. The preliminary selected area covers part of the area inside the conference room. Part of the area inside the conference room is removed from the preliminary selected area, and the warning area is obtained; Mark the warning area in the real-time image outside the conference room, and then import the human body model into the real-time image; Identify human body recognition models within the warning area from real-time images; Then, the number of recognized human models is extracted, and when the number of recognized human models is greater than a preset value, the control information outside the meeting room is generated.

[0011] Furthermore, real-time sound information outside the conference room is extracted, and when the real-time sound information outside the conference room is greater than a preset value, outdoor control information of the conference room is generated; At this time, the control information outside the conference room is sent to the robot synchronously. The robot tracks the sound and determines the distance to the source of the sound that is greater than the preset value. That is, the distance of the abnormal sound is less than the preset value. The robot moves towards the sound source and displays a prompt message on its display screen after reaching the preset distance from the sound source.

[0012] Furthermore, the specific process of the robot tracking sound and displaying content is as follows: Install a highly sensitive microphone array on the robot to collect surrounding sound signals in real time; After the robot is started, the microphone array starts working and continuously monitors the surrounding sound intensity; The processing unit inside the robot analyzes the collected sound signals in real time and calculates the intensity of the sound (e.g., through sound pressure level measurement); When the detected sound intensity exceeds a preset threshold (e.g. 60 decibels), the sound tracking program is triggered; The robot uses the microphone array it carries to determine the direction and distance of the sound through the sound source localization algorithm; commonly used algorithms include beamforming and time delay phase difference estimation (TDOA).

[0013] By adjusting the phase and amplitude of the microphone signal, the signal is enhanced in a specific direction to determine the direction of the sound source; By measuring the phase difference of the sound signals received by different microphones, the position of the sound source is calculated; The robot continuously collects sound signals while moving and updates the location information of the sound source in real time. When the sound source moves, the robot will reposition itself based on the new signal. When the sound intensity exceeds the preset threshold, the processing unit inside the robot generates control information and starts the tracking program; The robot activates the navigation system and moves toward the sound source based on the direction and distance information provided by the sound source localization algorithm; Use sensors (such as lidar, cameras, etc.) installed on the robot to perceive the environment and avoid obstacles to ensure that it does not collide with obstacles during movement.

[0014] During the movement, the robot continuously collects sound signals and updates the location of the sound source in real time through the sound source localization algorithm. When the sound source moves, the robot adjusts the movement direction according to the new location information. When the robot approaches the sound source, it measures the distance to the sound source through the sensor. When the distance is less than the preset value (for example, 1 meter), the robot is considered to have reached the sound source and a prompt message is displayed.

[0015] The robot displays prompts on its display, such as "Please be quiet, there is a meeting going on nearby."

[0016] The robot records the event and feeds the relevant information back to the conference management system for subsequent management and analysis.

[0017] Continuous monitoring: After displaying the prompt information, the robot can continue to monitor the sound intensity in the area to ensure that the sound intensity is reduced to a normal level; After completing the task, the robot can choose to return to its initial position or stay nearby to handle new abnormal sounds at any time; The collection process of the recycling equipment information is as follows: The recycling device is a garbage recycling device in the conference room. A gravity sensor and a level sensor are set in the garbage recycling device in the conference room. The gravity sensor is used to collect the internal load-bearing information of the garbage recycling device, and the level sensor is used to collect the level information of the garbage recycling device, that is, the horizontal angle; When the internal load-bearing information of the garbage recycling device is greater than the preset value f1 for a preset period of time, the recycling equipment control information is generated; When the level information of the garbage recycling device is greater than the preset value, recycling equipment control information is generated; After a single meeting is over, when the internal load-bearing information of the garbage recycling device is greater than the preset value f2 for more than the preset time, the recycling equipment control information is generated.

[0018] Compared with the prior art, the present invention has the following advantages: the intelligent digital conference management system based on data analysis collects environmental parameters such as temperature and humidity, dust concentration, brightness, etc. in real time through indoor and outdoor monitoring modules. When the temperature and humidity exceed the preset range or the dust concentration is too high, the control command is automatically triggered to ensure that the conference environment is always in the human comfort zone; combined with speech recognition and posture analysis technology, the system can accurately identify abnormal emotions in the meeting. When it detects that the voice decibel is too high, the speech speed is too fast, and the person stands frequently, it helps the participants to calm down by lowering the indoor temperature and humidity, and using physical environmental intervention methods to effectively avoid escalation of conflicts; Before the meeting starts, the system automatically compares the features of authorized participants in the database through facial image collection, screens unauthorized persons in real time, prevents irrelevant persons from breaking in, and ensures the security of the meeting content; Set up a warning area outside the meeting room and use image recognition technology to monitor the density of people in the area. When the number of people exceeds the threshold, external control information is automatically triggered to remind managers to divert the flow of people and avoid disruptions to the meeting. The outdoor monitoring module uses a high-sensitivity microphone array to locate abnormal sound sources, drives the robot to automatically move to the sound source, prompts the sound source, reduces the impact on the meeting, and makes the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0020] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0021] like Figure 1As shown, this embodiment provides a technical solution: an intelligent digital conference management system based on data analysis, including a monitoring module inside the conference room, a monitoring module outside the conference room, a recycling equipment monitoring module, a data processing module and an information sending module; The conference room monitoring module is used to monitor the interior of the conference room of the intelligent digital conference and obtain the internal information of the conference room; The outdoor monitoring module of the conference room is used to monitor the outside of the conference room of the intelligent digital conference and obtain the external information of the conference room; The recycling equipment monitoring module is used to monitor the recycling equipment in the conference room of the intelligent digital conference and obtain the recycling equipment information; The data processing module is used to process the internal information of the conference room and obtain the control information in the conference room; Process the external information of the conference room and obtain the control information outside the conference room; Process the recycling equipment information and obtain the recycling equipment management and control information; The information sending module is used to send the internal control information of the conference room, the external control information of the conference room and the recycling equipment control information to a preset receiving terminal.

[0022] The specific process of the conference room monitoring module monitoring the interior of the conference room of the intelligent digital conference to obtain the information inside the conference room is as follows: The monitoring module in the conference room is a robot with image acquisition and environment acquisition functions; Collect environmental information in the conference room in real time before and during the meeting; At a preset time before the meeting starts, facial images of conference room occupants are collected, and images in the conference room are continuously collected during the meeting.

[0023] The process of obtaining the control information in the conference room is as follows: Extract the environmental information of the conference room before the meeting starts, including the ambient temperature, ambient humidity and ambient dust concentration; When the ambient temperature information exceeds the standard range, control information for the conference room is generated; When the ambient humidity is greater than the preset value, control information for the conference room is generated; When the ambient dust concentration is greater than the preset concentration, control information for the conference room is generated; Extract the environmental information collected in the conference room during the meeting, including the ambient brightness, ambient temperature and ambient humidity; The process of processing the ambient temperature and humidity in the conference room during the meeting to generate the control information in the conference room is the same as the process of processing the ambient temperature and humidity in the control information in the conference room before the meeting starts; Process the ambient brightness. When the ambient brightness exceeds the preset range, control information for the conference room is generated. Before the meeting starts, the ambient temperature, humidity and dust concentration are collected and monitored in real time. Once the temperature is found to be beyond the standard range, the humidity is greater than the preset value or the dust concentration is higher than the preset concentration, control information is generated in time. This ensures that the indoor environment is in a suitable state when the meeting starts, allowing participants to start the meeting in a comfortable environment, avoiding affecting the opening atmosphere of the meeting and the mood of the participants due to environmental discomfort.

[0024] Collecting facial images of participants at a preset time before the meeting starts can help confirm the identities of participants in advance, prevent unrelated people from entering the meeting room, ensure the security and confidentiality of the meeting, and lay the foundation for the smooth progress of the meeting.

[0025] During the meeting, the system continuously collects information such as ambient brightness, temperature, and humidity, and performs real-time analysis and processing. When the ambient brightness exceeds the preset range, the system generates control information in a timely manner to ensure that the light in the conference room is always in an appropriate state, avoiding visual interference to participants due to excessive brightness or darkness. Continuous monitoring and control of temperature and humidity can also allow participants to always maintain a good physical condition and concentrate on participating in the meeting.

[0026] Through continuous image acquisition and environmental information monitoring, abnormal situations that may occur during the meeting can be discovered in a timely manner. For example, if the environmental parameters suddenly change significantly, it may mean equipment failure or other emergencies. The system can issue control information in a timely manner to remind relevant personnel to handle it and avoid affecting the normal progress of the meeting.

[0027] The entire monitoring and control process is automatically completed by robots with image acquisition and environmental acquisition functions, reducing manual intervention and improving management efficiency. The robot can collect and analyze data in real time and accurately, and automatically generate control information according to preset rules, without the need for manual attention and judgment, thus reducing labor costs.

[0028] Process the facial images of the people in the conference room, extract the facial features of all the people in the conference room, import the facial features of all the people in the conference room into the database for matching and identification, and store the facial features of all the people allowed to attend the meeting in the database; When there are people in the meeting room whose facial features are not matched in the database, the meeting room control information is generated.

[0029] Extract the image in the conference room, perform voice extraction on the image in the conference room to obtain voice information, process the voice information to obtain voice volume information, and then perform speech speed recognition on the voice to obtain speech speed information; At the same time, the images in the conference room are processed to extract the human body model, perform posture recognition on the human body model, and extract the total number of times standing up from the seat; When any two or more of the following occur simultaneously: the voice volume information is greater than the preset value, the speech speed information is greater than the preset value, and the total number of times of standing up from the seat is greater than the preset value, an abnormal state is entered; The ambient temperature information and ambient humidity information at this time are extracted. When the ambient temperature information at this time is greater than the preset value a1 and the humidity is greater than the preset value b1, the control information in the conference room is generated; At this time, the content of the control information in the conference room is to adjust the temperature in the conference room to the preset temperature a2, and adjust the humidity in the conference room to b2; a2<a1,b1>b2; In a meeting, when participants are emotional, their voice volume, speaking speed, and standing up movements often change significantly. By identifying the volume and speed of voice information, and performing posture recognition on the human body model in the image to count the total number of standing ups, these abnormal behaviors can be captured accurately and promptly. Once any two or more of the voice volume, speaking speed, and total number of standing ups exceed the preset values, the system will determine that the meeting has entered an abnormal state, which helps to immediately discover adverse situations such as heated arguments and quarrels that may occur in the meeting.

[0030] When the system determines that the meeting is in an abnormal state, it further combines the ambient temperature and humidity information for judgment. If the ambient temperature is greater than the preset a1 and the humidity is greater than the preset value b1, the corresponding indoor control information is generated to adjust the temperature to the preset temperature a2 (a2 < a1), and the humidity to b2 (b1 > b2). From a physiological and psychological perspective, lowering the temperature can make the quarrelers feel cool and help calm their excited emotions; while lowering the humidity will make people thirsty and prompt them to drink water. The action of drinking water can buffer emotions, thereby further accelerating the calming of the quarrelers, avoiding further intensification of conflicts, and enabling the meeting to return to a normal and orderly discussion track as soon as possible.

[0031] This automated abnormal monitoring and control mechanism reduces the reliance on manual intervention and greatly improves the efficiency of meeting management. Managers do not need to pay attention to the specific situation at the meeting site at all times. The system can automatically complete the monitoring, judgment and control process, saving manpower and time costs. Moreover, by timely and effectively adjusting the meeting atmosphere, it avoids the problem of the meeting not being able to proceed normally or the meeting being ineffective due to fierce arguments, which helps to improve the overall quality of the meeting and ensure that the meeting can achieve the expected goals.

[0032] The outdoor monitoring module of the conference room monitors the outside of the conference room of the intelligent digital conference, and the process of obtaining the information outside the conference room is as follows: The outdoor monitoring module of the conference room includes an image acquisition device and a movable robot with sound acquisition function; The outdoor monitoring module of the conference room collects real-time image information and real-time sound information outside the conference room.

[0033] The process of obtaining the control information outside the meeting room is as follows: Extract the real-time image information outside the conference room, process the real-time image information, and establish a warning area; First, the midpoint of the conference room entrance is extracted, and a circle is drawn with a preset radius with the midpoint of the conference room entrance as the center to obtain a preliminary selected area. The preliminary selected area covers part of the area inside the conference room. Part of the area inside the conference room is removed from the preliminary selected area, and the warning area is obtained; Mark the warning area in the real-time image outside the conference room, and then import the human body model into the real-time image; Identify human body recognition models within the warning area from real-time images; Then, the number of recognized human models is extracted. When the number of recognized human models is greater than a preset value, outdoor control information of the conference room is generated; The system draws a preliminary area with the midpoint of the conference room entrance as the center, and excludes the part covering the room, ensuring that the warning area is focused only on key areas outside the conference room (such as corridors and rest areas). This dynamic division method avoids the mechanical nature of traditional fixed area division, and can be flexibly adjusted according to the actual layout of the conference room to accurately locate potential interference sources.

[0034] Real-time visual marking: By overlaying the warning area on the real-time image, managers can intuitively see the areas that need to be focused on and control, facilitating quick decision-making. For example, in a scenario where multiple conference rooms are adjacent, the system can automatically distinguish the warning areas of different conference rooms to avoid cross-regional misjudgment.

[0035] By importing human models and identifying the number of people in the warning area, the system can count the number of people gathering outdoors in real time. When the number of people exceeds the preset threshold, control information (such as "crowded, recommended to disperse") is immediately generated to help managers intervene in advance to prevent noise or disorder caused by crowds.

[0036] Multi-scenario adaptation: The preset value can be dynamically adjusted according to the size of the conference room and the type of meeting. For example, a small conference room may set a lower threshold (such as 5 people), while a large conference room can appropriately increase the threshold to balance management efficiency and cost.

[0037] Automatic trigger mechanism: Once the number of people exceeds the limit, the system automatically generates control information and synchronizes it to the management terminal, without the need for manual inspection. Combined with the sound tracking function of the mobile robot outside the meeting room, it can further realize the closed-loop management of "discovering abnormalities → locating the sound source → on-site intervention", greatly reducing the workload of security personnel.

[0038] Multimodal data fusion: If abnormal outdoor sounds are detected simultaneously, the system can make a joint judgment based on the number of people and sound data to improve the accuracy of abnormal event identification and avoid misjudgment of a single indicator.

[0039] Then extract the real-time sound information outside the conference room. When the real-time sound information outside the conference room is greater than the preset value, the control information outside the conference room is generated. At this time, the control information outside the conference room is sent to the robot synchronously. The robot tracks the sound and determines the distance to the source of the sound that is greater than the preset value. That is, the distance of the abnormal sound is less than the preset value. The robot moves towards the sound source and displays a prompt message on its display screen after reaching the preset distance from the sound source.

[0040] The specific process of the robot tracking sound and displaying content is as follows: Install a highly sensitive microphone array on the robot to collect surrounding sound signals in real time; After the robot is started, the microphone array starts working and continuously monitors the surrounding sound intensity; The processing unit inside the robot analyzes the collected sound signals in real time and calculates the intensity of the sound (e.g., through sound pressure level measurement); When the detected sound intensity exceeds a preset threshold (e.g. 60 decibels), the sound tracking program is triggered; The robot uses the microphone array it carries to determine the direction and distance of the sound through the sound source localization algorithm; commonly used algorithms include beamforming and time delay phase difference estimation (TDOA).

[0041] By adjusting the phase and amplitude of the microphone signal, the signal is enhanced in a specific direction to determine the direction of the sound source; By measuring the phase difference of the sound signals received by different microphones, the position of the sound source is calculated; The robot continuously collects sound signals while moving and updates the location information of the sound source in real time. When the sound source moves, the robot will reposition itself based on the new signal. When the sound intensity exceeds the preset threshold, the processing unit inside the robot generates control information and starts the tracking program; The robot activates the navigation system and moves toward the sound source based on the direction and distance information provided by the sound source localization algorithm; Use sensors (such as lidar, cameras, etc.) installed on the robot to perceive the environment and avoid obstacles to ensure that it does not collide with obstacles during movement.

[0042] During the movement, the robot continuously collects sound signals and updates the location of the sound source in real time through the sound source localization algorithm. When the sound source moves, the robot adjusts the movement direction according to the new location information. When the robot approaches the sound source, it measures the distance to the sound source through the sensor. When the distance is less than the preset value (for example, 1 meter), the robot is considered to have reached the sound source and a prompt message is displayed.

[0043] The robot displays prompts on its display, such as "Please be quiet, there is a meeting going on nearby"; The robot records the event and feeds the relevant information back to the conference management system for subsequent management and analysis.

[0044] Continuous monitoring: After displaying the prompt information, the robot can continue to monitor the sound intensity in the area to ensure that the sound intensity is reduced to a normal level; After completing the task, the robot can choose to return to its initial position or stay nearby to handle new abnormal sounds at any time.

[0045] The collection process of the recycling equipment information is as follows: The recycling device is a garbage recycling device in the conference room. A gravity sensor and a level sensor are set in the garbage recycling device in the conference room. The gravity sensor is used to collect the internal load-bearing information of the garbage recycling device, and the level sensor is used to collect the level information of the garbage recycling device, that is, the horizontal angle; When the internal load-bearing information of the garbage recycling device is greater than the preset value f1 for a preset period of time, the recycling equipment control information is generated to prompt the management personnel of the conference room to clean the garbage recycling device to ensure the cleanliness of the garbage recycling device; When the level information of the garbage recycling device is greater than the preset value, recycling equipment control information is generated; When a single meeting is over, when the internal load-bearing information of the garbage recycling device is greater than the preset value f2 for a preset period of time, the recycling equipment control information is generated to remind the conference room manager that the garbage recycling device in the conference room is not clean after the meeting and needs to be cleaned; f2<f1.

[0046] Monitor the status of recycling equipment in real time to ensure a clean meeting environment; By installing gravity sensors and horizontal sensors in the garbage recycling device, the system can collect the internal load-bearing information and horizontal angle of the equipment in real time, and accurately determine whether the equipment is in an abnormal state (such as overload or tilt).

[0047] Gravity sensor monitoring: When the internal load exceeds the preset value and lasts for the preset time, it means that the garbage is close to or exceeds the capacity limit. The system automatically generates management and control information to remind you to clean up in time to avoid garbage overflow and affect the meeting environment. After a single meeting, if the load exceeds the preset value and lasts for the preset time, the post-meeting cleaning instruction can be triggered to ensure that the equipment is restored to a usable state before the next meeting and avoid hygiene problems caused by residual garbage.

[0048] Horizontal sensor monitoring: When the horizontal angle of the equipment exceeds the preset value, it indicates that the equipment may be accidentally bumped, tipped over or displaced. The system promptly generates control information to prompt the conference room manager to calibrate or reset the equipment to prevent garbage spillage or malfunction caused by equipment tilt.

[0049] By presetting thresholds and duration conditions, the system can automatically identify abnormal status of recycling equipment and trigger management information, eliminating the need for frequent manual inspections and improving management efficiency: Set different load-bearing thresholds during and after meetings to adapt to high-frequency usage scenarios during meetings and post-meeting cleanup requirements to avoid misjudgment or missed judgments; Combined with the condition of "exceeding the preset duration", short-term fluctuations (such as instantaneous load-bearing changes caused by temporary garbage placement) are filtered out to ensure the accuracy and reliability of the early warning.

[0050] As an important part of the system, the recycling equipment monitoring module works together with other modules (such as conference room monitoring and data processing modules) to form a full-scene conference environment control; It has achieved automated management of conference environment cleaning, reduced manual intervention, improved response efficiency, ensured normal operation of equipment and a clean and safe conference environment, and further improved the full-scenario control capabilities of the intelligent digital conference management system based on data analysis.

[0051] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0052] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention, and the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0053] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent digital conference management system based on data analysis, characterized in that: It includes a monitoring module inside the conference room, a monitoring module outside the conference room, a recycling equipment monitoring module, a data processing module and an information sending module; The conference room monitoring module is used to monitor the interior of the conference room of the intelligent digital conference and obtain the internal information of the conference room; The outdoor monitoring module of the conference room is used to monitor the outside of the conference room of the intelligent digital conference and obtain the external information of the conference room; The recycling equipment monitoring module is used to monitor the recycling equipment in the conference room of the intelligent digital conference and obtain the recycling equipment information; The data processing module is used to process the internal information of the conference room and obtain the control information in the conference room; Process the external information of the conference room and obtain the control information outside the conference room; Process the recycling equipment information and obtain the recycling equipment management and control information; The information sending module is used to send the internal control information of the conference room, the external control information of the conference room and the recycling equipment control information to a preset receiving terminal.

2. According to claim 1, an intelligent digital conference management system based on data analysis is characterized in that: The specific process of the conference room monitoring module monitoring the interior of the conference room of the intelligent digital conference to obtain the information inside the conference room is as follows: The monitoring module in the conference room is a robot with image acquisition and environment acquisition functions; Collect environmental information in the conference room in real time before and during the meeting; At a preset time before the meeting starts, facial images of conference room occupants are collected, and images in the conference room are continuously collected during the meeting.

3. According to claim 2, an intelligent digital conference management system based on data analysis is characterized in that: The process of obtaining the control information in the conference room is as follows: Extract the environmental information of the conference room before the meeting starts, including the ambient temperature, ambient humidity and ambient dust concentration; When the ambient temperature information exceeds the standard range, control information for the conference room is generated; When the ambient humidity is greater than the preset value, control information for the conference room is generated; When the ambient dust concentration is greater than the preset concentration, control information for the conference room is generated; Extract the environmental information collected in the conference room during the meeting, including the ambient brightness, ambient temperature and ambient humidity; The process of processing the ambient temperature and humidity in the conference room during the meeting to generate the control information in the conference room is the same as the process of processing the ambient temperature and humidity in the control information in the conference room before the meeting starts; The ambient brightness is processed, and when the ambient brightness information exceeds the preset range, control information for the conference room is generated.

4. The intelligent digital conference management system based on data analysis according to claim 3 is characterized by: Process the facial images of the people in the conference room, extract the facial features of all the people in the conference room, import the facial features of all the people in the conference room into the database for matching and identification, and store the facial features of all the people allowed to attend the meeting in the database; When there are people in the meeting room whose facial features are not matched in the database, the meeting room control information is generated.

5. The intelligent digital conference management system based on data analysis according to claim 2 is characterized by: Extract the image in the conference room, perform voice extraction on the image in the conference room to obtain voice information, process the voice information to obtain voice volume information, and then perform speech speed recognition on the voice to obtain speech speed information; At the same time, the images in the conference room are processed to extract the human body model, perform posture recognition on the human body model, and extract the total number of times standing up from the seat; When any two or more of the following occur simultaneously: the voice volume information is greater than the preset value, the speech speed information is greater than the preset value, and the total number of times of standing up from the seat is greater than the preset value, an abnormal state is entered; The ambient temperature information and ambient humidity information at this time are extracted. When the ambient temperature information at this time is greater than the preset value a1 and the humidity is greater than the preset value b1, the control information in the conference room is generated; At this time, the content of the control information in the conference room is to adjust the temperature in the conference room to the preset temperature a2, and adjust the humidity in the conference room to b2; a2<a1,b1>b2.

6. The intelligent digital conference management system based on data analysis according to claim 1 is characterized by: The outdoor monitoring module of the conference room monitors the outside of the conference room of the intelligent digital conference, and the process of obtaining the information outside the conference room is as follows: The outdoor monitoring module of the conference room includes an image acquisition device and a movable robot with sound acquisition function; The outdoor monitoring module of the conference room collects real-time image information and real-time sound information outside the conference room.

7. The intelligent digital conference management system based on data analysis according to claim 6 is characterized by: The process of obtaining the control information outside the meeting room is as follows: Extract the real-time image information outside the conference room, process the real-time image information, and establish a warning area; First, the midpoint of the conference room entrance is extracted, and a circle is drawn with a preset radius with the midpoint of the conference room entrance as the center to obtain a preliminary selected area. The preliminary selected area covers part of the area inside the conference room. Part of the area inside the conference room is removed from the preliminary selected area, and the warning area is obtained; Mark the warning area in the real-time image outside the conference room, and then import the human body model into the real-time image; Identify human body recognition models within the warning area from real-time images; Then, the number of recognized human models is extracted, and when the number of recognized human models is greater than a preset value, the control information outside the meeting room is generated.

8. The intelligent digital conference management system based on data analysis according to claim 7 is characterized by: Then extract the real-time sound information outside the conference room. When the real-time sound information outside the conference room is greater than the preset value, the control information outside the conference room is generated. At this time, the control information outside the conference room is sent to the robot synchronously. The robot tracks the sound and determines the distance to the source of the sound that is greater than the preset value. That is, the distance of the abnormal sound is less than the preset value. The robot moves towards the sound source and displays a prompt message on its display screen after reaching the preset distance from the sound source.

9. The intelligent digital conference management system based on data analysis according to claim 8 is characterized by: The specific process of the robot tracking sound and displaying content is as follows: Install a highly sensitive microphone array on the robot to collect surrounding sound signals in real time; After the robot is started, the microphone array starts working and continuously monitors the surrounding sound intensity; The processing unit inside the robot analyzes the collected sound signals in real time and calculates the intensity of the sound; When the detected sound intensity exceeds the preset threshold, the sound tracking program is triggered; The robot uses its own microphone array to determine the direction and distance of the sound through the sound source localization algorithm; By adjusting the phase and amplitude of the microphone signal, the signal is enhanced in a specific direction to determine the direction of the sound source; By measuring the phase difference of the sound signals received by different microphones, the position of the sound source is calculated; The robot continuously collects sound signals while moving and updates the location information of the sound source in real time. When the sound source moves, the robot will reposition itself based on the new signal. When the sound intensity exceeds the preset threshold, the processing unit inside the robot generates control information and starts the tracking program; The robot activates the navigation system and moves toward the sound source based on the direction and distance information provided by the sound source localization algorithm; During the movement, the robot continuously collects sound signals and updates the location of the sound source in real time through the sound source localization algorithm. When the sound source moves, the robot adjusts the movement direction according to the new location information. When the robot approaches the sound source, the sensor measures the distance to the sound source. When the distance is less than the preset value, the robot is considered to have reached the sound source and a prompt message is displayed.

10. The intelligent digital conference management system based on data analysis according to claim 1 is characterized by: The collection process of the recycling equipment information is as follows: The recycling device is a garbage recycling device in the conference room. A gravity sensor and a level sensor are set in the garbage recycling device in the conference room. The gravity sensor is used to collect the internal load-bearing information of the garbage recycling device, and the level sensor is used to collect the level information of the garbage recycling device, that is, the horizontal angle; When the internal load-bearing information of the garbage recycling device is greater than the preset value f1 for a preset period of time, the recycling equipment control information is generated; When the level information of the garbage recycling device is greater than the preset value, recycling equipment control information is generated; After a single meeting is over, when the internal load-bearing information of the garbage recycling device is greater than the preset value f2 for more than the preset time, the recycling equipment control information is generated.

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