An intelligent digital conference management system based on data analysis

Abstract

The present invention discloses an intelligent digital conference management system based on data analysis, which relates to the field of conference management and includes an in-conference room monitoring module, an out-of-conference room monitoring module, a recycling equipment monitoring module, a data processing module and an information sending module; the in-conference room monitoring module is used to monitor the interior of the conference room of the intelligent digital conference and obtain the interior information of the conference room; the out-of-conference room monitoring module is used to monitor the exterior of the conference room of the intelligent digital conference and obtain the exterior information of the conference room; the data processing module is used to process the interior information of the conference room to obtain the in-conference room control information; process the exterior information of the conference room to obtain the out-of-conference room control information; the information sending module is used to send the interior information of the conference room and the out-of-conference room control information to a preset receiving terminal. The present invention can perform more efficient and intelligent digital conference management.

Description

Technical Field

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

[0002] With the continuous improvement of enterprises' requirements for meeting efficiency and quality, the traditional meeting room management mode can no longer meet the needs. Intelligent meeting rooms integrate a variety of advanced technologies to achieve the full-process digital management and automatic control of meetings, becoming an important development direction in the modern office environment;

[0003] The traditional meeting management mode is difficult to meet the requirements of high efficiency, safety, and comfort. Common problems in meetings such as uncomfortable environments, chaotic order, and oversight in personnel management need to be solved by intelligent means. The concept of intelligent office emphasizes optimizing resource allocation and user experience through technology. Therefore, an intelligent digital meeting management system based on data analysis is proposed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is: how to solve the problems of low intelligence and low efficiency in the existing management system, and provide an intelligent digital meeting management system based on data analysis.

[0005] The present invention solves the above technical problems through the following technical solutions. The present invention includes an in-meeting room monitoring module, an out-of-meeting room monitoring module, a recycling equipment monitoring module, a data processing module, and an information sending module;

[0006] The in-meeting room monitoring module is used to monitor the interior of the meeting room of the intelligent digital meeting and obtain the interior information of the meeting room;

[0007] The out-of-meeting room monitoring module is used to monitor the exterior of the meeting room of the intelligent digital meeting and obtain the exterior information of the meeting room;

[0008] The recycling equipment monitoring module is used to monitor the recycling equipment in the meeting room of the intelligent digital meeting and obtain the recycling equipment information;

[0009] The data processing module is used to process the interior information of the meeting room to obtain the in-meeting room control information;

[0010] Process the exterior information of the meeting room to obtain the out-of-meeting room control information;

[0011] Process the recycling equipment information to obtain the recycling equipment control information;

[0012] The information sending module is used to send the in-meeting room control information, the out-of-meeting room control information, and the recycling equipment control information to a preset receiving terminal.

[0013] Furthermore, the specific process of the in - meeting room monitoring module for monitoring the interior of the intelligent digital meeting room to obtain the interior information of the meeting room is as follows:

[0014] The in - meeting room monitoring module is a robot with an image acquisition function and an environment acquisition function;

[0015] During the period before the meeting starts and during the meeting, the environmental information in the meeting room is collected in real - time;

[0016] At a preset time point before the meeting starts, the face images of the people in the meeting room are collected, and during the meeting, the images in the meeting room are continuously collected.

[0017] Furthermore, the process of obtaining the in - meeting room control information is as follows:

[0018] Extract the environmental information in the meeting room obtained before the meeting starts. The environmental information includes environmental temperature information, environmental humidity, and environmental dust concentration;

[0019] When the environmental temperature information exceeds the standard range, in - meeting room control information is generated;

[0020] When the environmental humidity is greater than the preset value, in - meeting room control information is generated;

[0021] When the environmental dust concentration is greater than the preset concentration, in - meeting room control information is generated;

[0022] Extract the environmental information collection in the meeting room during the meeting. The environmental information collection in the meeting room during the meeting includes environmental brightness, environmental temperature, and environmental humidity;

[0023] The process of processing the environmental temperature and environmental humidity in the meeting room during the meeting to generate in - meeting room control information is the same as the process of processing the environmental temperature and environmental humidity in the in - meeting room control information before the meeting starts;

[0024] Process the environmental brightness. When the environmental brightness information exceeds the preset range, in - meeting room control information is generated.

[0025] Furthermore, process the face images of the people in the meeting room, extract the face features of all the people in the meeting room, and import the face features of all the people in the meeting room into the database for matching and recognition. The database stores the face features of all the people allowed to attend the meeting;

[0026] When there are people in the face features of all the people in the meeting room that are not matched in the database, in - meeting room control information is generated.

[0027] Furthermore, the images in the meeting room are extracted, the voices in the images in the meeting room are extracted to obtain voice information, the voice information is processed to obtain the voice volume information, and then the speech rate is recognized for the voice to obtain the speech rate information;

[0028] At the same time, the images in the meeting room are processed to extract the human body model, and the posture of the human body model is recognized to extract the total number of times of standing up from the seat;

[0029] When any two or more of the voice volume information being greater than the preset value, the speech rate information being greater than the preset value, and the total number of times of standing up from the seat being greater than the preset value occur simultaneously, an abnormal state is triggered;

[0030] The environmental temperature information and environmental humidity information at this time are extracted. When the environmental 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 for the meeting room is generated;

[0031] At this time, the content of the control information for the meeting room is to adjust the temperature in the meeting room to the preset temperature a2 and adjust the humidity in the meeting room to b2;

[0032] a2 < a1, b1 > b2.

[0033] Furthermore, the outdoor monitoring module of the intelligent digital meeting monitors the outside of the meeting room, and the process of obtaining the outside information of the meeting room is as follows:

[0034] The outdoor monitoring module of the meeting room includes an image acquisition device and a movable robot with a sound acquisition function;

[0035] The outdoor monitoring module of the meeting room collects the real-time image information outside the meeting room and the real-time sound information outside the meeting room.

[0036] Furthermore, the process of obtaining the control information for the outside of the meeting room is as follows:

[0037] The obtained real-time image information outside the meeting room is extracted, and the real-time image information is processed to establish a warning area;

[0038] First, the midpoint of the meeting room entrance is extracted, a circle is drawn with the midpoint of the meeting room entrance as the center and a preset radius, and a preliminary selected area is obtained. The preliminary selected area covers part of the area inside the meeting room. The part of the area inside the meeting room is removed from the preliminary selected area to obtain the warning area;

[0039] The warning area is marked in the real-time image outside the meeting room, and then the human body model is imported into the real-time image;

[0040] The human body recognition model within the warning area is recognized from the real-time image;

[0041] After that, the number of recognized human models is extracted. When the number of recognized human models is greater than a preset value, control information outside the meeting room is generated.

[0042] Furthermore, real-time sound information outside the meeting room is extracted. When the real-time sound information outside the meeting room is greater than a preset value, control information outside the meeting room is generated.

[0043] At this time, the control information outside the meeting room is synchronously sent to the robot. The robot performs sound tracking, judges the distance of the sound source with a sound greater than the preset value, that is, the abnormal sound distance is less than the preset value. The robot moves towards the sound source and, after reaching a preset distance from the sound source, displays a prompt message on its display screen.

[0044] Furthermore, the specific process of the robot performing sound tracking and content display is as follows:

[0045] A high-sensitivity microphone array is installed on the robot to collect surrounding sound signals in real time.

[0046] After the robot is started, the microphone array starts to work and continuously monitors the surrounding sound intensity.

[0047] The processing unit inside the robot performs real-time analysis on the collected sound signals and calculates the sound intensity (for example, through sound pressure level measurement).

[0048] When the monitored sound intensity exceeds a preset threshold (for example, 60 decibels), the sound tracking program is triggered.

[0049] The robot uses the microphone array it carries to determine the direction and distance of the sound source through a sound source localization algorithm; common algorithms include Beamforming and Time Difference of Arrival (TDOA).

[0050] By adjusting the phase and amplitude of the microphone signals, the signals are enhanced in a specific direction to determine the direction of the sound source.

[0051] By measuring the phase difference of the sound signals received by different microphones, the position of the sound source is calculated.

[0052] The robot continuously collects sound signals during movement and updates the position information of the sound source in real time. When the sound source moves, the robot will reposition according to the new signals.

[0053] When the sound intensity exceeds the preset threshold, the processing unit inside the robot generates control information and starts the tracking program.

[0054] The robot starts the navigation system and moves towards the sound source according to the direction and distance information provided by the sound source localization algorithm.

[0055] The robot uses sensors (such as lidar, cameras, etc.) installed on it for environmental perception and obstacle avoidance to ensure that it does not collide with obstacles during movement.

[0056] During movement, the robot continuously collects sound signals and updates the position of the sound source in real time through a sound source localization algorithm. When the sound source moves, the robot adjusts its moving direction according to the new position information.

[0057] When the robot approaches the sound source, it measures the distance to the sound source through sensors. When the distance is less than a preset value (e.g., 1 meter), it is considered that the robot has reached the sound source position, and a prompt message is displayed.

[0058] The robot displays a prompt message on its display screen, such as "Please keep quiet. There is a meeting in progress nearby."

[0059] The robot records this event and feeds back the relevant information to the meeting management system for subsequent management and analysis.

[0060] Continuous monitoring: After displaying the prompt message, the robot can continue to monitor the sound intensity in the area to ensure that the sound intensity drops to a normal level.

[0061] After completing the task, the robot can choose to return to the initial position or standby nearby to handle new abnormal sounds at any time.

[0062] The process of collecting the recycling equipment information is as follows:

[0063] The recycling equipment is a garbage recycling device in the meeting room. A gravity sensing device and a horizontal sensor are installed in the garbage recycling device in the meeting room. The gravity sensing device is used to collect the internal load-bearing information of the garbage recycling device, and the horizontal sensor is used for the horizontal information of the garbage recycling device, that is, the horizontal angle.

[0064] When the internal load-bearing information of the garbage recycling device is greater than the preset value f1 for more than the preset duration, recycling equipment control information is generated.

[0065] When the horizontal information of the garbage recycling device is greater than the preset value, recycling equipment control information is generated.

[0066] When a single meeting ends, when the internal load-bearing information of the garbage recycling device is greater than the preset value f2 for more than the preset duration, recycling equipment control information is generated.

[0067] The present invention has the following advantages compared with the prior art: For the intelligent digital conference management system based on data analysis, the system collects environmental parameters such as temperature, humidity, dust concentration, and brightness 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, a regulation instruction is automatically triggered to ensure that the conference environment is always within the comfortable range for the human body; combined with voice recognition and gesture analysis technologies, the system can accurately identify abnormal emotions in the conference. When it detects that the voice decibel is too high, the speech rate is too fast, and the personnel stand frequently, by reducing the indoor temperature and humidity, physical environment intervention means are used to help the participants calm down and effectively avoid the escalation of conflicts;

[0068] Before the conference starts, through face image collection, the system automatically compares the characteristics of authorized participants in the database, screens out unauthorized personnel in real time, prevents unauthorized personnel from breaking in, and ensures the security of the conference content;

[0069] A warning area is delimited outside the conference room. Through image recognition technology, the personnel density in the area is monitored. When the number of people exceeds the threshold, an external control message is automatically triggered to remind the management personnel to disperse the crowd and avoid interference with the conference;

[0070] The outdoor monitoring module locates abnormal sound sources through a high-sensitivity microphone array, drives the robot to automatically move to the sound source position, and gives a prompt for the sound source, reducing the impact on the conference and making the system more worthy of popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 is the system block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0072] The following will give a detailed description of the embodiments of the present invention. These embodiments are implemented on the premise of the technical solution of the present invention, and detailed implementation manners and specific operation processes are given. However, the protection scope of the present invention is not limited to the following embodiments.

[0073] As Figure 1 shown, this embodiment provides a technical solution: An intelligent digital conference management system based on data analysis, including an indoor conference monitoring module, an outdoor conference monitoring module, a recycling equipment monitoring module, a data processing module, and an information sending module;

[0074] The indoor conference monitoring module is used to monitor the interior of the conference room of the intelligent digital conference and obtain the interior information of the conference room;

[0075] The outdoor conference monitoring module is used to monitor the exterior of the conference room of the intelligent digital conference and obtain the exterior information of the conference room;

[0076] 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;

[0077] The data processing module is used to process the internal information of the meeting room to obtain the control information inside the meeting room;

[0078] Process the external information of the meeting room to obtain the control information outside the meeting room;

[0079] Process the recycled equipment information to obtain the control information of the recycled equipment;

[0080] The information sending module is used to send the control information inside the meeting room, the control information outside the meeting room and the control information of the recycled equipment to a preset receiving terminal.

[0081] The specific process of the indoor monitoring module of the intelligent digital meeting for monitoring the inside of the meeting room to obtain the internal information of the meeting room is as follows:

[0082] The indoor monitoring module is a robot with an image acquisition function and an environment acquisition function;

[0083] Collect the environmental information inside the meeting room in real time before and during the meeting;

[0084] At a preset time point before the meeting starts, collect the face images of the people in the meeting room, and continuously collect the images inside the meeting room during the meeting.

[0085] The process of obtaining the control information inside the meeting room is as follows:

[0086] Extract the environmental information inside the meeting room before the meeting starts. The environmental information includes environmental temperature information, environmental humidity and environmental dust concentration;

[0087] When the environmental temperature information exceeds the standard range, the control information inside the meeting room is generated;

[0088] When the environmental humidity is greater than the preset value, the control information inside the meeting room is generated;

[0089] When the environmental dust concentration is greater than the preset concentration, the control information inside the meeting room is generated;

[0090] Extract the environmental information collection inside the meeting room during the meeting. The environmental information collection inside the meeting room during the meeting includes environmental brightness, environmental temperature and environmental humidity;

[0091] The process of processing the environmental temperature and environmental humidity inside the meeting room during the meeting to generate the control information inside the meeting room is the same as the process of processing the environmental temperature and environmental humidity in the control information inside the meeting room before the meeting starts;

[0092] Process the environmental brightness. When the environmental brightness information exceeds the preset range, the control information inside the meeting room is generated;

[0093] Before the meeting starts, the environmental temperature, humidity, and dust concentration are collected and monitored in real time. Once it is found that the temperature exceeds 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 a timely manner. This can ensure that when the meeting starts, the indoor environment is in a suitable state, allowing the participants to start the meeting in a comfortable environment and avoiding affecting the opening atmosphere of the meeting and the emotions of the participants due to environmental discomfort.

[0094] Collecting the facial images of personnel at a preset time point before the meeting starts helps to confirm the identities of the participants in advance, prevent unauthorized personnel from entering the meeting room, ensure the security and confidentiality of the meeting, and lay a foundation for the smooth progress of the meeting.

[0095] During the meeting, information such as environmental brightness, temperature, and humidity is continuously collected and analyzed and processed in real time. When the environmental brightness exceeds the preset range, control information is generated in a timely manner, which can ensure that the light in the meeting room is always in a suitable state, avoiding visual interference caused by being too bright or too dark to the participants. The continuous monitoring and control of temperature and humidity can also keep the participants in good physical condition and concentrate on participating in the meeting.

[0096] Through continuous image collection and environmental information monitoring, abnormal situations that may occur during the meeting can be detected in a timely manner. For example, if the environmental parameters suddenly change greatly, it may mean equipment failure or other emergencies, and the system can issue control information in a timely manner to remind the relevant personnel to handle it, avoiding affecting the normal progress of the meeting.

[0097] The entire monitoring and control process is automatically completed by a robot with image collection function and environmental collection function, 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 the preset rules, without the need for manual attention and judgment at all times, reducing labor costs.

[0098] Process the facial images of the personnel in the meeting room, extract the facial features of all the personnel in the meeting room, and import the facial features of all the personnel in the meeting room into the database for matching and recognition. The database stores the facial features of all the personnel allowed to participate in the meeting;

[0099] When there are personnel in the facial features of all the personnel in the meeting room that are not matched in the database, control information in the meeting room is generated.

[0100] Extract the images in the meeting room, extract the voices from the images in the meeting room to obtain voice information, process the voice information to obtain the voice volume information, and then identify the speech rate of the voice to obtain the speech rate information;

[0101] Meanwhile, process the images in the meeting room, extract the human model, perform pose recognition on the human model, and extract the total number of times of standing up from the seat;

[0102] When any two or more of the voice sound volume information being greater than the preset value, the speech rate information being greater than the preset value, and the total number of times of standing up from the seat being greater than the preset value occur simultaneously, an abnormal state is triggered;

[0103] Extract the ambient temperature information and ambient humidity information at this time. When the ambient temperature information at this time is greater than the preset a1 and the humidity is greater than the preset value b1, indoor control information for the meeting room is generated;

[0104] The content of the indoor control information for the meeting room at this time is to adjust the temperature in the meeting room to the preset temperature a2 and adjust the humidity in the meeting room to b2;

[0105] a2 < a1, b1 > b2;

[0106] In a meeting scenario, when participants are emotionally excited, there are often obvious changes in the voice sound volume, speech rate, and standing-up actions. By recognizing the voice sound volume and speech rate of the voice information, and at the same time performing pose recognition on the human model in the image to count the total number of times of standing up, these abnormal manifestations can be accurately and timely captured. Once any two or more of the voice sound volume, speech rate, and total number of times of standing up exceed the preset value, the system will determine that the meeting has entered an abnormal state, which helps to discover possible intense arguments, quarrels, and other adverse situations in the meeting in a timely manner.

[0107] After 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 at this time, corresponding indoor control information is generated, and the temperature is adjusted to the preset temperature a2 (a2 < a1), and the humidity is adjusted to b2 (b1 > b2). From a physiological and psychological perspective, lowering the temperature can make the quarreling people feel cool physically, which helps to calm their excited emotions; while lowering the humidity will make people thirsty and prompt them to drink water, and the action of drinking water can play a role in buffering emotions, thus further accelerating the calming down of the quarreling people and avoiding the further intensification of contradictions, enabling the meeting to return to the normal and orderly discussion track as soon as possible.

[0108] This automated abnormal monitoring and regulation mechanism reduces the reliance on manual intervention and greatly improves the efficiency of meeting management. Managers do not need to constantly pay attention to the specific situation at the meeting site, and the system can automatically complete the processes of monitoring, judgment, and regulation, saving labor and time costs. Moreover, by timely and effectively adjusting the meeting atmosphere, it avoids problems such as the meeting being unable to proceed normally or the meeting effect being poor due to intense quarrels and other situations, helps to improve the overall quality of the meeting, and ensures that the meeting can achieve the expected goals.

[0109] The monitoring module outside the meeting room monitors the outside of the meeting room of the intelligent digital meeting, and the process of obtaining the outside information of the meeting room is as follows:

[0110] The monitoring module outside the meeting room includes an image acquisition device and a movable robot with a sound acquisition function;

[0111] The monitoring module outside the meeting room collects real-time image information outside the meeting room and real-time sound information outside the meeting room.

[0112] The process of obtaining the control information outside the meeting room is as follows:

[0113] Extract the obtained real-time image information outside the meeting room, process the real-time image information, and establish a warning area;

[0114] First, extract the midpoint of the meeting room entrance, draw a circle with the midpoint of the meeting room entrance as the center and a preset radius to obtain a preliminary selected area. The preliminary selected area covers part of the area inside the meeting room. Remove the part of the area inside the meeting room from the preliminary selected area, and then the warning area is obtained;

[0115] Mark the warning area in the real-time image outside the meeting room, and then import the human model into the real-time image;

[0116] Perform human recognition model recognition within the warning area from the real-time image;

[0117] After that, extract the number of recognized human models. When the number of recognized human models is greater than the preset value, the control information outside the meeting room is generated;

[0118] The system draws a preliminary area with the midpoint of the meeting room entrance as the center and excludes the part covering the interior, ensuring that the warning area only focuses on the key areas outside the meeting room (such as corridors and rest areas). This dynamic division method avoids the mechanicalness of traditional fixed area division and can be flexibly adjusted according to the actual layout of the meeting room to accurately locate potential interference sources.

[0119] Real-time visual marking: Overlay the warning area on the real-time image, and the management personnel can intuitively see the scope that needs to be key-controlled, which is convenient for quick decision-making. For example, in the scenario where multiple meeting rooms are adjacent, the system can automatically distinguish the warning areas of different meeting rooms to avoid cross-regional misjudgment.

[0120] By importing the human model and identifying the number of people in the warning area, the system can count the number of people gathered outside in real time. When the number of people exceeds the preset threshold, control information (such as "crowded, it is recommended to disperse") is immediately generated to help the management personnel intervene in advance to prevent noise or disorder caused by overcrowding.

[0121] Multi-scenario adaptation: The preset values can be dynamically adjusted according to the meeting room size and meeting type. For example, a smaller meeting room may set a lower threshold for the number of people (such as 5 people), while a larger meeting room can appropriately increase the threshold, taking into account both management efficiency and cost.

[0122] Automated trigger mechanism: Once the number of people exceeds the limit, the system automatically generates control information and synchronizes it to the management terminal without manual inspection. Combined with the sound tracking function of the mobile robot outside the meeting room, it can further achieve a closed-loop management of "detecting abnormalities → locating the sound source → on-site intervention", significantly reducing the workload of security personnel.

[0123] Multi-modal data fusion: If abnormal sounds outside are detected synchronously, the system can comprehensively judge by combining the number of people and sound data, improving the accuracy of abnormal event recognition and avoiding misjudgment by a single indicator.

[0124] Extract the real-time sound information outside the meeting room again. When the real-time sound information outside the meeting room is greater than the preset value, control information outside the meeting room is generated.

[0125] At this time, the control information outside the meeting room is synchronously sent to the robot. The robot performs sound tracking, judges the distance of the sound source where the sound is greater than the preset value, that is, when the abnormal sound distance 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.

[0126] The specific process of the robot performing sound tracking and content display is as follows:

[0127] Install a high-sensitivity microphone array on the robot to collect surrounding sound signals in real time.

[0128] After the robot is started, the microphone array starts to work and continuously monitors the surrounding sound intensity.

[0129] The processing unit inside the robot performs real-time analysis on the collected sound signals and calculates the sound intensity (for example, through sound pressure level measurement).

[0130] When the monitored sound intensity exceeds the preset threshold (such as 60 decibels), the sound tracking program is triggered.

[0131] The robot uses the microphone array it carries to determine the direction and distance of the sound source through a sound source localization algorithm; common algorithms include Beamforming and Time Difference of Arrival (TDOA).

[0132] By adjusting the phase and amplitude of the microphone signals, the signals are enhanced in a specific direction to determine the direction of the sound source.

[0133] Calculate the position of the sound source by measuring the phase difference of the sound signals received by different microphones;

[0134] The robot continuously collects sound signals during movement and updates the position information of the sound source in real time. When the sound source moves, the robot will reposition according to the new signal;

[0135] When the sound intensity exceeds the preset threshold, the processing unit inside the robot generates control information and starts the tracking program;

[0136] The robot starts the navigation system and moves towards the sound source according to the direction and distance information provided by the sound source localization algorithm;

[0137] Use sensors (such as lidar, cameras, etc.) set on the robot for environmental perception and obstacle avoidance to ensure that it will not collide with obstacles during movement.

[0138] During movement, the robot continuously collects sound signals and updates the position of the sound source in real time through the sound source localization algorithm. When the sound source moves, the robot will adjust its moving direction according to the new position information;

[0139] When the robot approaches the sound source, measure the distance to the sound source through the sensor. When the distance is less than the preset value (for example, 1 meter), it is considered that the robot has reached the position of the sound source and display the prompt information.

[0140] The robot displays prompt information on its display screen, such as "Please keep quiet. There is a meeting in progress nearby";

[0141] The robot records this event and feeds back the relevant information to the meeting management system for subsequent management and analysis.

[0142] 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 drops to the normal level;

[0143] After completing the task, the robot can choose to return to the initial position or standby nearby to handle new abnormal sounds at any time.

[0144] The process of collecting the information of the recycling equipment is as follows:

[0145] The recycling equipment is the garbage recycling device in the meeting room. A gravity sensing device and a horizontal sensor are set in the garbage recycling device in the meeting room. The gravity sensing device is used to collect the internal load-bearing information of the garbage recycling device, and the horizontal sensor is used for the horizontal information of the garbage recycling device, that is, the horizontal angle;

[0146] When the internal load-bearing information of the garbage recycling device is greater than the preset value f1 for more than the preset duration, recycling device control information is generated to prompt the management personnel of the meeting room to clean the garbage recycling device and ensure the cleanliness of the garbage recycling device;

[0147] When the horizontal information of the garbage recycling device is greater than the preset value, recycling device control information is generated;

[0148] After a single meeting ends, when the internal load-bearing information of the garbage recycling device is greater than the preset value f2 for more than the preset duration, recycling device control information is generated to prompt the management personnel of the meeting room that the garbage recycling device in the meeting room after the meeting is not cleaned and needs to be cleaned;

[0149] f2 < f1.

[0150] Monitor the status of the recycling device in real time to ensure a clean meeting environment;

[0151] By setting a gravity sensing device and a horizontal sensor in the garbage recycling device, the system can collect the internal load-bearing information and horizontal angle of the device in real time, and accurately judge whether the device is in an abnormal state (such as overloading, tilting).

[0152] Gravity sensing monitoring: When the internal load-bearing exceeds the preset value and lasts for the preset duration, it means that the garbage is close to or exceeds the capacity limit. The system automatically generates control information to remind to clean up in time to avoid garbage overflow affecting the meeting environment; after a single meeting ends, if the load-bearing exceeds the preset value and lasts for the preset duration, the post-meeting cleaning instruction can be triggered specifically to ensure that the device returns to a usable state before the next meeting and avoid hygiene problems caused by residual garbage.

[0153] Horizontal sensor monitoring: When the horizontal angle of the device exceeds the preset value, it indicates that the device may have been accidentally collided, toppled or displaced. The system generates control information in time to prompt the management personnel of the meeting room to calibrate or reset the device to prevent garbage spillage or function failure caused by the device tilting.

[0154] By presetting threshold values and duration conditions, the system can automatically identify the abnormal state of the recycling device and trigger control information, eliminating the need for frequent manual inspections and improving management efficiency:

[0155] Set different load-bearing thresholds during and after the meeting to adapt to the high-frequency usage scenarios during the meeting and the post-meeting cleaning requirements, and avoid misjudgment or missed judgment;

[0156] Combined with the condition of "exceeding the preset duration", filter short-term fluctuations (such as instantaneous load-bearing changes caused by temporary garbage disposal) to ensure the accuracy and reliability of early warnings.

[0157] As an important part of the system, the recycling equipment monitoring module works in coordination with other modules (such as in-room monitoring and data processing modules) to form a full-scenario meeting environment control;

[0158] It realizes the automated management of the meeting environment cleaning, reduces manual intervention, improves the response efficiency, ensures the normal operation of the equipment and the cleanliness and safety of the meeting environment, and further improves the full-scenario control ability of the intelligent digital meeting management system based on data analysis.

[0159] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0160] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. The specific features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0161] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to 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 control information inside the conference room, the control information outside the conference room and the recycling equipment control information to the preset receiving terminal; 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.

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 of 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 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 to obtain the warning area. 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.

7. The intelligent digital conference management system based on data analysis according to claim 6 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.

8. The intelligent digital conference management system based on data analysis according to claim 7 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.

9. 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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