A live broadcast system control method and device for medical teaching live broadcast cabin

Abstract

The present invention relates to the technical field of live broadcast service, and specifically discloses a live broadcast system control method and device for a medical teaching live broadcast cabin. The method objectively and accurately analyzes the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs, provides data support for subsequent matching of the live broadcast environment configuration set, collects performance parameters of teaching live broadcast equipment, and determines the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs. The method can comprehensively evaluate the matching degree between the current live broadcast environment of the medical teaching live broadcast cabin and the equipment performance, and provide a basis for subsequent improvement and optimization of the medical teaching live broadcast cabin. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, the live broadcast environment improvement method is dynamically matched, the live broadcast environment of the medical teaching live broadcast cabin is quickly adjusted and optimized, the efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs is evaluated, and control feedback of the live broadcast system of the medical teaching live broadcast cabin is realized, thereby ensuring its efficient and stable operation.

Description

Technical Field

[0001] The present invention relates to the technical field of live broadcast service, and in particular to a live broadcast system control method and device of a medical teaching live broadcast cabin. Background Art

[0002] With the continuous advancement of medical technology and the rapid development of online education, medical teaching live broadcast has received widespread attention and adoption from medical education institutions and practitioners. However, the existing medical teaching live broadcast system often only focuses on the collection and transmission of live broadcast data, lacks real-time and comprehensive analysis of live broadcast environment parameters and intelligent adjustment mechanism of live broadcast environment parameters, which restricts the smoothness and reliability of medical teaching live broadcast, and further affects the live broadcast effect and user experience.

[0003] For example, the invention patent with announcement number CN112887744B announces a data transmission control method for live broadcast in a smart health live broadcast room, which is applied to a 5G live broadcast system, including a video acquisition module, a local processing module and a 5G module. The 5G module is connected to a live broadcast server, and the 5G processing module includes n 5G terminals, each of which preferentially uses a different 5G operator; the method includes the following steps: collecting video through a video acquisition module, transcoding through a local processing module, and then dividing the transcoded video into data packets of the same size; data segmentation and verification packet generation: data transmission; the live broadcast server receives data strips and verification data strips, and verifies the accuracy of the data strips.

[0004] For example, the invention patent with announcement number CN110536178B announces a live broadcast control method and system, which is applied to the visual network. The method includes: the monitoring client generates live broadcast release signaling data based on the acquired live broadcast number, and sends it to the scheduling basic server; the scheduling basic server determines the visual network number of the streaming media server based on the live broadcast number carried in the live broadcast release signaling data, converts the live broadcast release signaling data into a live broadcast release instruction, and sends it to the streaming media server; the streaming media server forwards the live broadcast release instruction to the media client; the media client initiates a live broadcast based on the live broadcast release instruction, and sends the video data corresponding to the live broadcast to the streaming media server; the streaming media server forwards the video data to the visual network terminal corresponding to the live broadcast, and the visual network terminal is used to play the live broadcast based on the video data.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: in the current live broadcast system, it is limited to the one-sided analysis of the live broadcast data, which causes the live broadcast system to be unable to make rapid adjustments when the environmental conditions change, thereby causing the live broadcast to be stuck, delayed or even interrupted, which in turn has a significant negative impact on the flexibility and adaptability of the live broadcast. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a live broadcast system control method and device for a medical teaching live broadcast cabin, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a method for controlling a live broadcast system of a medical teaching live broadcast cabin, comprising: S1. acquiring signal parameters of a communication environment to which the medical teaching live broadcast cabin belongs, analyzing a signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs, thereby matching a live broadcast environment configuration set of the medical teaching live broadcast cabin; S2. based on the configuration completion result of the live broadcast environment configuration set, collecting performance parameters of teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, determining a live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and comparing it with a live broadcast adaptability threshold; if the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, executing S3; if the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is greater than or equal to the live broadcast adaptability threshold, completing the control of the live broadcast system of the medical teaching live broadcast cabin; S3. matching a live broadcast environment improvement method of the medical teaching live broadcast cabin according to the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and evaluating the efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs based on the completion result of the live broadcast environment improvement method, thereby performing control feedback on the live broadcast system of the medical teaching live broadcast cabin.

[0008] As a further method, the acquisition of signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs specifically refers to obtaining the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within a signal detection period.

[0009] As a further method, the live broadcast environment configuration set of the matching medical teaching live broadcast cabin is specifically matched as follows: the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is matched with the live broadcast environment configuration set corresponding to each signal quality coefficient interval stored in the live broadcast information storage library, thereby obtaining the live broadcast environment configuration set of the medical teaching live broadcast cabin.

[0010] As a further method, the method for improving the live broadcast environment of the medical teaching live broadcast cabin is matched, and the specific matching process is: matching the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs with the live broadcast environment improvement method corresponding to each live broadcast adaptability index interval stored in the live broadcast information storage library, thereby obtaining the live broadcast environment improvement method of the medical teaching live broadcast cabin.

[0011] As a further method, the live broadcast system of the medical teaching live broadcast cabin is controlled and fed back, and the specific feedback process is: comparing the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin with the efficiency threshold. If the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is less than the efficiency threshold, the live broadcast control feedback system controls and feeds back the live broadcast system of the medical teaching live broadcast cabin. If the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is greater than or equal to the efficiency threshold, the control of the live broadcast system of the medical teaching live broadcast cabin is completed.

[0012] The second aspect of the present invention provides a device for applying a live broadcast system control method of a medical teaching live broadcast cabin as described above, characterized in that: it includes: a medical teaching live broadcast cabin, a processor, and a live broadcast control feedback system; the medical teaching live broadcast cabin is used to execute a control process; the processor is used to process signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs, performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, and transmit the determined efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs to the live broadcast control feedback system via the Internet; the live broadcast control feedback system is used to receive the efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs from the processor, and perform control feedback on the live broadcast system of the medical teaching live broadcast cabin, and finally complete the control of the live broadcast system.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0014] (1) The present invention provides a control method and device for a live broadcast system of a medical teaching live broadcast cabin. By acquiring the signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs, the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is objectively and accurately analyzed, and data support is provided for the subsequent matching of the live broadcast environment configuration set. The performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs are collected, and the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is determined. The matching degree between the current live broadcast environment of the medical teaching live broadcast cabin and the equipment performance can be comprehensively evaluated, and a basis can be provided for the subsequent improvement and optimization of the medical teaching live broadcast cabin. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, the live broadcast environment improvement method of the medical teaching live broadcast cabin is dynamically matched, and the live broadcast environment of the medical teaching live broadcast cabin is quickly adjusted and optimized. Finally, the efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs is evaluated, and control feedback of the live broadcast system of the medical teaching live broadcast cabin can be realized, thereby ensuring the efficient and stable operation of the live broadcast system of the medical teaching live broadcast cabin.

[0015] (2) The present invention obtains the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin by comprehensively analyzing the total deviation value of the signal strength, the discrete value of the high signal strength probability and the skewness coefficient of the signal strength probability density curve of the communication environment of the medical teaching live broadcast cabin. This can reduce the error that may be caused by single parameter evaluation and improve the accuracy of the signal quality evaluation of the medical teaching live broadcast cabin. The live broadcast environment configuration can also be adjusted according to the signal quality coefficient to ensure the fluency and real-time performance of the live broadcast system.

[0016] (3) The present invention obtains the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin by comprehensively analyzing the total energy consumption value, average data transmission rate and total response lag time of the technical equipment of the medical teaching live broadcast cabin. It can analyze and discover potential performance problems of the medical teaching live broadcast cabin in multiple dimensions, solve the problems of the medical teaching live broadcast cabin in a targeted manner, and optimize the environmental configuration strategy, thereby improving the stability and high quality of the live broadcast system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0018] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0019] Figure 2 It is a schematic diagram of a signal strength curve involved in the present invention.

[0020] Figure 3 It is a schematic diagram of the signal strength probability density curve involved in the present invention.

[0021] Figure numerals: 1. End point of high signal strength interval; 2. Start point of high signal strength interval; 3. Start point of high signal strength interval; 4. End point of high signal strength interval. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1As shown, the first aspect of the present invention provides a live broadcast system control method for a medical teaching live broadcast cabin, including: S1. Acquire signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs, analyze the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs, and thereby match the live broadcast environment configuration set of the medical teaching live broadcast cabin.

[0024] In a specific embodiment, the present invention obtains the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin by comprehensively analyzing the total deviation value of the signal strength of the communication environment of the medical teaching live broadcast cabin, the discrete value of the high signal strength probability and the skewness coefficient of the signal strength probability density curve. This can reduce the error that may be caused by a single parameter evaluation, improve the accuracy of the signal quality evaluation of the medical teaching live broadcast cabin, and adjust the live broadcast environment configuration according to the signal quality coefficient to ensure the fluency and real-time performance of the live broadcast system.

[0025] Specifically, the signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs are obtained, specifically referring to obtaining the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period, and extracting the signal strength curve of the signal detection position point analyzed by the signal source analyzer within the signal detection period, that is, the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period, and the signal strength curve is obtained by the signal source analyzer integrating WI FI signal, 5G signal, 4G signal and Bluetooth signal data, wherein the signal detection position point is planned by the live broadcast control personnel in the communication environment to which the medical teaching live broadcast cabin belongs according to the actual situation.

[0026] It needs to be explained that the signal detection cycle refers to the period for analyzing the signal performance of the communication environment of the medical teaching live broadcast cabin. Its specific duration is determined by the live broadcast control personnel and can be changed according to actual changes.

[0027] Specifically, the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs, in this embodiment, is obtained by comprehensive analysis of the total deviation value of the signal strength of the communication environment to which the medical teaching live broadcast cabin belongs, the high signal strength probability discrete value, and the skewness coefficient of the signal strength probability density curve, and is used to analyze the signal quality of the communication environment to which the medical teaching live broadcast cabin belongs. The specific expression is:

[0028]

[0029] Among them, QLI is the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs. The larger the total deviation value of signal strength, the greater the overall fluctuation of the signal strength in the communication environment. The frequent fluctuations in signal strength make it difficult to maintain a high intensity level for a long time, indicating that the effective proportion of signal strength in the high signal strength range is reduced, and the high signal strength probability discrete value increases accordingly, so that the signal strength probability density curve is no longer significantly biased toward the high signal strength side, but tends to a more dispersed distribution form. This change is reflected in the skewness coefficient as a decrease in the skewness coefficient. The larger the total deviation value of signal strength, the greater the fluctuation of the signal strength in the communication environment, which may lead to poor communication quality. The quantity is unstable, thereby comprehensively reducing the signal quality of the communication environment to which the medical teaching live broadcast cabin belongs. The larger the discrete value of the high signal strength probability, the larger the range of signal strength variation under high signal strength, which has a negative impact on the stability and reliability of communication. The smaller the skewness coefficient, the distribution of the signal strength probability density curve is not biased towards high signal strength, which reduces the speed of communication. Therefore, the three parameters are quantified and comprehensively analyzed into a signal quality coefficient, which can comprehensively reflect the signal quality of the communication environment to which the medical teaching live broadcast cabin belongs, thereby providing reliable data support for selecting the most matching live broadcast environment configuration plan, thereby ensuring that the medical teaching live broadcast cabin operates efficiently and stably under optimal conditions.

[0030] DO is the total deviation value of the signal strength in the communication environment of the medical teaching live broadcast cabin, which reflects the overall fluctuation degree of the signal strength in the communication environment of the medical teaching live broadcast cabin relative to the reference signal strength.

[0031] SG is the discrete value of the high signal strength probability of the communication environment of the medical teaching live broadcast cabin, which indicates the degree of dispersion of the signal strength value distribution within the high signal strength range. The smaller the discrete value of the high signal strength probability, the more stable the signal is within the high signal strength range, which is conducive to ensuring the communication quality of the medical teaching live broadcast cabin.

[0032] TP is the skewness coefficient of the signal strength probability density curve of the communication environment of the medical teaching live broadcast cabin. It is a statistic that describes the degree of asymmetry of the signal strength probability density curve relative to its average value, and measures the direction and degree of skewness of the signal strength probability distribution.

[0033] e is a natural constant, os1 is the influence factor corresponding to the unit value of the total deviation value of signal strength preset in the live broadcast information storage library, which represents the influence degree of the unit value of the total deviation value of signal strength on the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin. The fitting curve corresponding to the total deviation value of signal strength is obtained by fitting the relationship between the historical noise floor, the historical electromagnetic wave propagation path length and the total deviation value of signal strength, and the fitting curve corresponding to the total deviation value of signal strength is introduced according to the real-time noise floor and the electromagnetic wave propagation path length, thereby obtaining the influence factor corresponding to the unit value of the total deviation value of signal strength in this example. The value range of this value in this example is 0 to 1.

[0034] os2 is the impact factor corresponding to the unit value of the high signal strength probability discrete value preset in the live broadcast information storage library, which represents the degree of influence of the unit value of the signal stability on the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin. The fitting curve corresponding to the signal stability is obtained by fitting the relationship between the historical bit error rate, the historical signal-to-noise ratio and the signal stability, and the fitting curve corresponding to the signal stability is introduced according to the real-time bit error rate and signal-to-noise ratio, thereby obtaining the impact factor corresponding to the unit value of the signal stability in this example. The value range of this value in this example is 0 to 1.

[0035] Os3 is the impact factor corresponding to the unit value of the skewness coefficient preset in the live broadcast information storage library, which represents the influence degree of the unit value of the skewness coefficient on the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin. The fitting curve corresponding to the skewness coefficient is obtained by fitting the relationship between the discrete degree of historical signal distribution, the skew direction of historical signal distribution and the skewness coefficient, and the fitting curve corresponding to the skewness coefficient is brought into the fitting curve according to the real-time signal distribution discrete degree and the skew direction of the signal distribution, thereby obtaining the impact factor corresponding to the unit value of the skewness coefficient in this example. The value range of this value in this example is 0 to 1.

[0036] It needs to be explained that the live broadcast information repository is a database used to store necessary parameters in the analysis process of the medical teaching live broadcast cabin.

[0037] In this exemplary embodiment, the signal quality coefficient of the communication environment of the above-mentioned medical teaching live broadcast cabin and its corresponding parameter change table are shown in Table 1:

[0038] Table 1 Changes in signal quality coefficients and corresponding parameters of the communication environment of the medical teaching live broadcast cabin

[0039]

[0040] In this example embodiment, the value of the influence factor corresponding to the unit value of the total deviation value of the signal strength is set to 0.35, the value of the influence factor corresponding to the unit value of the high signal strength probability discrete value is set to 0.40, and the value of the influence factor corresponding to the unit value of the skewness coefficient is set to 0.45. It can be concluded from Table 1 that when the total deviation value of the signal strength is smaller, the high signal strength probability discrete value is smaller, and the skewness coefficient is larger, the signal quality coefficient is larger.

[0041] Specifically, the matching process of the live broadcast environment configuration set of the medical teaching live broadcast cabin is as follows: matching the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs with the live broadcast environment configuration set corresponding to each signal quality coefficient interval stored in the live broadcast information storage library, thereby obtaining the live broadcast environment configuration set of the medical teaching live broadcast cabin; the specific matching process is as follows: each signal quality coefficient interval corresponds to the live broadcast environment configuration set, and the signal quality coefficient interval to which the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is queried, then the live broadcast environment configuration set corresponding to the signal quality coefficient interval is the live broadcast environment configuration set of the medical teaching live broadcast cabin; wherein the matching rules and contents of the live broadcast environment configuration set corresponding to each signal quality coefficient interval are given by The live broadcast management and control personnel formulate it based on historical environment configuration experience; the above-mentioned live broadcast environment configuration set includes but is not limited to the live broadcast environment signal source configuration, teaching live broadcast equipment configuration and network bandwidth configuration. For example, the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin is low, and its matching live broadcast environment configuration set includes but is not limited to: configuring the signal transmission method as a wired connection (such as optical fiber, Ethernet), configuring a low-latency encoder, configuring network equipment to support dynamic bandwidth allocation, and the live broadcast environment configuration set of the medical teaching live broadcast cabin; the live broadcast control feedback system packages the live broadcast environment configuration set of the medical teaching live broadcast cabin into a live broadcast environment configuration set document, and the live broadcast management and control personnel configure the live broadcast environment of the medical teaching live broadcast cabin according to the live broadcast environment configuration set document.

[0042] Furthermore, the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is analyzed, and the specific analysis process is: obtaining the reference signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period, and the live broadcast control personnel formulate it according to the signal performance required for the historical live broadcast.

[0043] A curve offset comparison is performed with the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period, and the signal strength offset values ​​on the vertical axis of the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period are counted and accumulated to obtain the total deviation value of the signal strength of the communication environment to which the medical teaching live broadcast cabin belongs; the above-mentioned curve offset comparison refers to performing difference processing on the values ​​of the vertical coordinates on the signal strength curve and the vertical coordinates corresponding to the same horizontal coordinates on the reference signal strength curve, and the absolute value of the processing result is the signal strength offset value, and the signal strength offset values ​​are accumulated to obtain the total deviation value of the signal strength of the communication environment to which the medical teaching live broadcast cabin belongs.

[0044] According to the signal strength curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period, the signal strength probability density curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period is generated by using the kernel density estimation method. The specific generation process is as follows: the matrix laboratory software reads the signal strength curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period, such as Figure 2 As shown, the horizontal axis is the signal detection time point in seconds, and the vertical axis is the signal strength in decibel milliwatts. The vertical axis values ​​on the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period are packaged into a vector of signal strength data, and the Gaussian kernel algorithm in the kernel density estimation method is used for kernel density estimation. Finally, the estimated probability density value is plotted into a curve through the drawing function, which is the signal strength probability density curve of the communication environment to which the medical teaching live broadcast cabin belongs within the signal detection period.

[0045] In an example embodiment, the general generation process can be analyzed by the following pseudo code:

[0046] % Assuming that signal Strengths is a vector containing signal strength data, the matrix laboratory reads the vertical coordinate values ​​on the signal strength curve to obtain

[0047] signal Strengths = [signal strength data];

[0048] % Use ksdens ity for kernel density estimation, the default is to use Gaussian kernel

[0049] % The 'Support', 'auto' parameter tells the ksdensity function to automatically determine the x-axis range for estimating density values, 'Kernel', 'gaussian' tells the ksdensity function to use the Gaussian kernel as the kernel function, and f is a vector containing the estimated probability density values ​​at the location specified by x.

[0050] [f,x]=ksdensity(si gna l Strengths,'Support','auto','Kerne l','gauss i an');

[0051] %Draw a probability density curve

[0052] fi gure; %Create a new graphics window

[0053] pl ot(x,f,'L i neWi dth',2); % draw the curve

[0054] gr id on; %Display the grid

[0055] xl abe l('Signal strength / dB mW'); % x-axis label

[0056] yl abe l('signal strength probability / percentage'); %y-axis label

[0057] title('Probability density curve of signal strength of the communication environment of the medical teaching live broadcast cabin during the signal detection period');%Graphic title

[0058] Mark each high signal strength probability detection point on the signal strength probability density curve, and perform standard deviation processing on the ordinate corresponding to each high signal strength probability detection point to obtain the high signal strength probability discrete value of the communication environment of the medical teaching live broadcast cabin; the above-mentioned high signal strength probability detection points are marked on the signal strength probability density curve, and the live broadcast control personnel are responsible for the following: Figure 3 The high signal intensity interval [3, 4] on the signal intensity probability density curve shown is randomly marked, and the high signal intensity interval [3, 4] corresponds to Figure 2 The high signal strength interval [2, 1] on the signal strength curve shown in the figure is set by the live broadcast control personnel. The starting position point 3 of the high signal strength interval corresponds to the starting position point 2 of the high signal strength interval, and the ending position point 4 of the high signal strength interval corresponds to the ending position point 1 of the high signal strength interval. The above standard deviation processing is performed on the vertical coordinates corresponding to each high signal strength probability detection point. The specific processing process is: Y p is the ordinate corresponding to the pth high signal strength probability detection point, AY is the average value of the ordinates corresponding to the high signal strength probability detection points, p is the number of the high signal strength probability detection points, p = {1, 2, 3, ..., q}, q is the total number of high signal strength probability detection points.

[0059] Mark each skewed sampling data point on the signal strength probability density curve, use the skewness coefficient formula to analyze the ordinate corresponding to each skewed sampling data point, and mark the obtained value as the skewness coefficient of the signal strength probability density curve of the communication environment to which the medical teaching live broadcast cabin belongs, thereby comprehensively analyzing the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs; the above-mentioned marking of each skewed sampling data point on the signal strength probability density curve is randomly marked by the live broadcast control personnel, where the signal strength probability density curve, such as Figure 3 As shown, the horizontal axis is the signal strength in decibel milliwatts, and Figure 2 The vertical coordinates on the signal strength curve shown in the figure correspond one to one. The vertical coordinates corresponding to each skewed sampling data point are analyzed using the skewness coefficient formula. The specific analysis process is: the skewness coefficient calculation formula is used to obtain: i is the number of each skewed sampling data point, i = 1, 2, 3, ..., n}, n is the total number of skewed sampling data points, Y i is the ordinate corresponding to the i-th skewed sampling data point, IY is the mean of the ordinates corresponding to each skewed sampling data point, σY is the standard deviation of the ordinates corresponding to each skewed sampling data point, and the calculation process of the standard deviation is the same as the process of performing standard deviation processing on the ordinates corresponding to each high signal strength probability detection point.

[0060] S2. Based on the configuration completion result of the live broadcast environment configuration set, collect the performance parameters of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin, determine the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and compare it with the live broadcast adaptability threshold. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, execute S3. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is greater than or equal to the live broadcast adaptability threshold, the live broadcast system control of the medical teaching live broadcast cabin is completed.

[0061] It needs to be explained that the above-mentioned live broadcast adaptability threshold represents the minimum value of the reasonable range of the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and is formulated by the live broadcast control personnel based on historical experience. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, it indicates that the currently matched live broadcast environment will cause the performance of the teaching live broadcast equipment to decline, and the environment needs to be further optimized. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is greater than or equal to the live broadcast adaptability threshold, it indicates that the current live broadcast environment is relatively good and teaching live broadcast can be carried out.

[0062] Specifically, the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is determined by the following process: locating the temperature measurement and detection points of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and the live broadcast control personnel randomly locate and mark them, which are distributed on the walls of the medical teaching live broadcast cabin and on the built-in equipment of the medical teaching live broadcast cabin.

[0063] The ending temperature of each temperature measurement and detection point at the end time point of the live broadcast environment detection cycle and the initial temperature at the start time point of the live broadcast environment detection cycle are obtained, and difference processing is performed to obtain the temperature increment of each temperature measurement and detection point of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and mean processing is performed to obtain the average temperature increment of the live broadcast environment to which the medical teaching live broadcast cabin belongs; the above-mentioned live broadcast environment detection cycle represents a cycle for analyzing whether the live broadcast environment meets the requirements, and its specific duration is determined by the live broadcast management and control personnel; the above-mentioned ending temperature of each temperature measurement and detection point at the end time point of the live broadcast environment detection cycle and the initial temperature at the start time point of the live broadcast environment detection cycle can be obtained through a temperature sensor, and the above-mentioned temperature increment is obtained by subtracting the initial temperature from the ending temperature.

[0064] The activity reserved area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs is obtained, the activity required area of ​​the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs is extracted from the performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, and the activity reserved area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs is differenced with the activity required area of ​​the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs to obtain the activity buffer area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs; the activity reserved area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs refers to the areas of the medical teaching live broadcast cabin that the live broadcast control personnel ensure can meet the needs of the live broadcast teaching activities, the areas of each area are measured, and the accumulated areas are obtained to obtain the activity reserved area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs, and the activity required area of ​​the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs is determined by the live broadcast control personnel based on historical live broadcast experience; the activity buffer area refers to the activity reserved area minus the activity required area.

[0065] The average frame rate and average number of pixels of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period are extracted from the performance parameters of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin, and the average frame rate is multiplied by the weighting factor corresponding to the average frame rate preset in the live broadcast information storage library, and the average number of pixels is multiplied by the weighting factor corresponding to the average number of pixels preset in the live broadcast information storage library, and the accumulation processing is performed to obtain the video quality weighted value of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin. The average frame rate and average number of pixels of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period refer to the real-time frame rate read from the status parameters of each teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period. The average frame rate and the real-time pixel number are processed by averaging to obtain the average frame rate and the average pixel number of each teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period, and then the average frame rate and the average pixel number of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period are processed by averaging, where the unit of the average pixel number is megapixels; the weighting factor corresponding to the above average frame rate and the weighting factor corresponding to the average pixel number are formulated by the live broadcast control personnel based on historical live broadcast experience and stored in the live broadcast information repository, and their values ​​will change according to the average signal strength of the medical teaching live broadcast cabin, and the weighting factor corresponding to the average frame rate and the weighting factor corresponding to the average pixel number range from 0 to 1.

[0066] It needs to be explained that the various live teaching devices include but are not limited to high-definition cameras, monitors, and speakers. If the status parameters of a live teaching device do not include frame rate and pixel number, the video quality weighted value does not include the parameters of the live teaching device.

[0067] In an example embodiment, assuming that the average frame rate and average number of pixels of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period are 30 frames and 1.69 million pixels respectively, the weighting factors corresponding to the average frame rate and the weighting factors corresponding to the average number of pixels are 0.7 and 0.3 respectively, 30*0.7+1.69*0.3=21.507, and the unit of the video quality weighted value is percentage, then the video quality weighted value is 2150.7%.

[0068] Thus, the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is comprehensively determined. In this embodiment, the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is obtained by comprehensively analyzing the average temperature increment of the live broadcast environment to which the medical teaching live broadcast cabin belongs, the activity buffer area, and the video quality weighted value of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs. The numerical value used to determine the live broadcast suitability of the live broadcast environment to which the medical teaching live broadcast cabin belongs is specifically expressed as follows:

[0069]

[0070] Among them, PZI is the live broadcast adaptability index of the live broadcast environment of the medical teaching live broadcast cabin. If the activity buffer area appears to be relatively small, it indicates that the space layout in the medical teaching live broadcast cabin is relatively compact and may be crowded. It not only restricts the free movement of personnel and teaching live broadcast equipment, but also causes the teaching live broadcast equipment to be stacked closely. There is a lack of effective heat dissipation intervals and air circulation channels, which makes the average temperature increment of the medical teaching live broadcast cabin deviate significantly from the ideal reference value, thereby aggravating the workload of the teaching live broadcast equipment. The crowded live broadcast environment causes the signal to pass through more obstacles and interference sources during the transmission process, resulting in increased signal attenuation and delay, which ultimately affects the video signal. The quality and stability of the signal, the average temperature increment deviates too much from the reference value, which may cause the teaching live broadcast equipment to overheat, thereby affecting its processing capacity and the quality of the live video output. A large active buffer area can ensure that there is enough interval between the teaching live broadcast devices to avoid mutual interference during the live broadcast. The larger the video quality weighted value, the clearer and smoother the live broadcast picture. The interaction between the three parameters jointly affects the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs. Therefore, by quantitatively analyzing the above parameters and based on the quantitative results, targeted optimization measures can be formulated for the live broadcast environment, and the teaching live broadcast equipment can be optimized and updated to achieve the best medical teaching live broadcast effect.

[0071] SD is the average temperature increment of the live environment of the medical teaching live cabin, which is used to evaluate the thermal stability of the live environment of the medical teaching live cabin.

[0072] DP is the activity buffer area of ​​the live broadcast environment of the medical teaching live broadcast cabin. A larger activity buffer area is conducive to air circulation in the live broadcast environment and reduces heat accumulation in the live broadcast environment, thereby ensuring the normal operation of the teaching live broadcast equipment.

[0073] WE is the weighted value of the video quality of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin. It refers to the video quality evaluation value calculated based on the average frame rate and average number of pixels of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period, reflecting the overall quality level of the live broadcast picture of the teaching live broadcast equipment.

[0074] SD c It is the reference value of temperature increment, which represents the reference value of the average temperature increment of the live broadcast environment of the medical teaching live broadcast cabin, and is formulated by the live broadcast control personnel based on historical live broadcast experience.

[0075] ds1 is the correction factor corresponding to the average temperature increment preset in the live information repository, which represents the degree of correction for the change in the average temperature increment. The fitting curve corresponding to the average temperature increment is obtained by fitting the relationship between the historical air temperature change value, the historical equipment operation average temperature and the average temperature increment. The fitting curve corresponding to the average temperature increment is brought into the fitting curve according to the real-time air temperature change value and the equipment operation average temperature, thereby obtaining the impact factor corresponding to the average temperature unit value in this example. The value range of this value in this example is 0 to 1.

[0076] ds2 is the influence factor corresponding to the unit value of the active buffer area preset in the live broadcast information storage library, which represents the influence degree of the unit value of the active buffer area on the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs. The fitting curve corresponding to the active buffer area is obtained by fitting the relationship between the historical screen switching times, the historical screen switching rate and the active buffer area, and the fitting curve corresponding to the active buffer area is brought into the fitting curve according to the real-time screen switching times and the screen switching rate, thereby obtaining the influence factor corresponding to the unit value of the active buffer area in this example. The value range of this value in this example is 0 to 1.

[0077] ds3 is the impact factor corresponding to the unit value of the video quality weighted value preset in the live broadcast information storage library, which represents the degree of influence of the unit value of the video quality weighted value on the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs. The fitting curve corresponding to the video quality weighted value is obtained by fitting the relationship between the historical video frame rate, the historical video pixel number and the video quality weighted value, and the fitting curve corresponding to the video quality weighted value is brought into the fitting curve according to the real-time video frame rate and the video pixel number, thereby obtaining the impact factor corresponding to the unit value of the video quality weighted value in this example. The value range of this value in this example is 0 to 1.

[0078] In this example embodiment, the table of changes in the live broadcast adaptability index and its corresponding parameters of the live broadcast environment to which the above-mentioned medical teaching live broadcast cabin belongs is shown in Table 2:

[0079] Table 2 Changes in the live broadcast adaptability index and its corresponding parameters of the live broadcast environment of the medical teaching live broadcast cabin

[0080]

[0081] In this example embodiment, the correction factor corresponding to the average temperature increment is set to 0.2, the influence factor corresponding to the unit value of the active buffer area is set to 0.2, the influence factor corresponding to the unit value of the video quality weighted value is set to 0.3, and the temperature increment reference value is set to 15 degrees Celsius. It can be seen from Table 2 that when the average temperature increment deviates less than the temperature increment reference value and the active buffer area and the video quality weighted value are larger, the live broadcast adaptability index is larger.

[0082] S3. According to the live broadcast adaptability index of the live broadcast environment of the medical teaching live broadcast cabin, match the live broadcast environment improvement method of the medical teaching live broadcast cabin, and based on the completion results of the live broadcast environment improvement method, evaluate the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin, thereby controlling and giving feedback to the live broadcast system of the medical teaching live broadcast cabin.

[0083] In a specific embodiment, the present invention obtains the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin by comprehensively analyzing the total energy consumption value, average data transmission rate and total response lag time of the technical equipment belonging to the medical teaching live broadcast cabin. It can analyze and discover potential performance problems of the medical teaching live broadcast cabin in multiple dimensions, solve the problems of the medical teaching live broadcast cabin in a targeted manner, and optimize the environmental configuration strategy, thereby improving the stability and high quality of the live broadcast system.

[0084] Specifically, the method for improving the live broadcast environment of the medical teaching live broadcast cabin is matched, and the specific matching process is: matching the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs with the live broadcast environment improvement method corresponding to each live broadcast adaptability index interval stored in the live broadcast information storage library, thereby obtaining the live broadcast environment improvement method of the medical teaching live broadcast cabin; the specific matching process is: each live broadcast adaptability index interval corresponds to the live broadcast environment improvement method, and the live broadcast adaptability index interval to which the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is queried, then the live broadcast environment improvement method corresponding to the live broadcast adaptability index interval is the live broadcast environment improvement method of the medical teaching live broadcast cabin, wherein the live broadcast environment improvement method corresponding to each live broadcast adaptability index interval, the specific matching rules and content are formulated by the live broadcast control personnel, in an example embodiment, if the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is low, then the matched live broadcast environment improvement method includes but is not limited to adding heat dissipation equipment, improving network bandwidth, and updating the live broadcast software version.

[0085] Specifically, the live broadcast system of the medical teaching live broadcast cabin is controlled and fed back, and the specific feedback process is: comparing the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin with the efficiency threshold. If the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is less than the efficiency threshold, the live broadcast control feedback system controls and feeds back the live broadcast system of the medical teaching live broadcast cabin. If the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is greater than or equal to the efficiency threshold, the live broadcast system control of the medical teaching live broadcast cabin is completed; the above-mentioned efficiency threshold represents the minimum value of the reasonable range of the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin, and is a value specified in the industry standard formulated by relevant technical personnel; if the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is less than If the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin is greater than or equal to the efficiency threshold, it indicates that the current optimization and update measures for the overall environment of the medical teaching live broadcast cabin and its internal equipment have not yet met the ideal performance requirements and standards. Therefore, the live broadcast control feedback system starts the early warning mechanism and sends early warning information through the built-in early warning program. The live broadcast management and control personnel update the matching live broadcast environment configuration set and the live broadcast environment improvement method in the live broadcast information repository according to the early warning information and the actual situation, and perform necessary maintenance and inspection on the medical teaching live broadcast cabin; if the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin is greater than or equal to the efficiency threshold, it indicates that the current optimization and update measures for the overall environment of the medical teaching live broadcast cabin and its internal equipment meet the ideal performance requirements, thereby completing the live broadcast system control of the medical teaching live broadcast cabin.

[0086] Furthermore, the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is evaluated, and the specific evaluation process is: obtaining the energy consumption values ​​of each technical equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment evaluation period, and accumulating the total energy consumption values ​​of the technical equipment belonging to the medical teaching live broadcast cabin; the above-mentioned live broadcast environment evaluation period represents the period for evaluating the stable performance of the improved live broadcast environment, and its specific duration is determined by the live broadcast control personnel according to actual conditions; the energy consumption values ​​of each technical equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment evaluation period are obtained through data recorded by the energy consumption meter.

[0087] The amount of data transmitted by each technical device belonging to the medical teaching live broadcast cabin during the live broadcast environment evaluation period is obtained, and a ratio analysis is performed with the duration corresponding to the live broadcast environment evaluation period to obtain the data transmission rate of each technical device belonging to the medical teaching live broadcast cabin. The average data transmission rate of the technical devices belonging to the medical teaching live broadcast cabin is obtained by average processing; the amount of data transmitted by each technical device belonging to the medical teaching live broadcast cabin during the live broadcast environment evaluation period is obtained from the transmission data set of each technical device captured and recorded by network monitoring tools (such as network protocol analyzers).

[0088] Obtain the response lag durations of each technical device belonging to the medical teaching live broadcast cabin within the live broadcast environment assessment cycle, and add up the total response lag durations of the technical devices belonging to the medical teaching live broadcast cabin. The above-mentioned response lag durations of each technical device belonging to the medical teaching live broadcast cabin within the live broadcast environment assessment cycle refer to the time from each sending instruction of each technical device to the execution of each sending instruction, which is obtained from the transmission data set of each technical device captured and recorded by network monitoring tools (such as network protocol analyzers).

[0089] Thus, the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin is comprehensively evaluated. In this embodiment, the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin is obtained by comprehensive analysis of the total energy consumption value, the average data transmission rate and the total response lag time of the technical equipment of the medical teaching live broadcast cabin. It is a numerical value used to evaluate the comprehensive performance of the technical equipment of the medical teaching live broadcast cabin. The specific expression is:

[0090]

[0091] Among them, NTI is the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin. High-speed data transmission can accelerate the circulation of live broadcast data and optimize the live broadcast effect. However, it is accompanied by more frequent activities of key components, which consumes a lot of electricity to maintain its efficient operation state. Under high energy consumption load, the internal components of the technical equipment may degrade due to overheating, overload and other problems, which are specifically manifested as slower processing speed and increased response delay. Especially in the application scenario of medical teaching live broadcast, which has extremely high real-time requirements, the jamming phenomenon of equipment operation will directly extend the total response lag time. The three parameters interact and restrict each other. Low energy consumption value indicates higher energy efficiency ratio, which is conducive to improving the efficiency coefficient of technical equipment. High data transmission rate can improve user experience and live broadcast quality, which is an important part of the efficiency coefficient. Shorter response lag time indicates that the technical equipment can respond to requests and instructions faster, which is one of the key factors to improve user experience and efficiency coefficient. Therefore, quantitative analysis reveals the interaction and constraint relationship between the three parameters, which is conducive to continuously optimizing the environmental configuration of the medical teaching live broadcast cabin, and helps to maintain the key indicators of the medical teaching live broadcast cabin in the best state to enhance the stability of the medical teaching live broadcast cabin.

[0092] EN is the total energy consumption value of the technical equipment belonging to the medical teaching live broadcast cabin, which refers to the total electrical energy consumed by the technical equipment belonging to the medical teaching live broadcast cabin during its operation, and directly reflects the energy efficiency level of the technical equipment.

[0093] VC is the average data transmission rate of the technical equipment in the medical teaching live broadcast cabin, and is an important indicator reflecting the fluency and real-time performance of the technical equipment.

[0094] TY is the total response lag time of the technical equipment belonging to the medical teaching live broadcast cabin, which reflects the response speed of the technical equipment.

[0095] Ty1 is the impact factor corresponding to the unit value of the total energy consumption value preset in the live broadcast information storage library, which represents the degree of influence of the unit value of the total energy consumption value on the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin. The fitting curve corresponding to the total energy consumption value is obtained by fitting the relationship between the historical average current of the technical equipment, the historical average voltage of the technical equipment and the total energy consumption value, and the fitting curve corresponding to the total energy consumption value is brought into the fitting curve according to the real-time average current and average voltage of the technical equipment, thereby obtaining the impact factor corresponding to the unit value of the total energy consumption value in this example. The value range of this value in this example is 0 to 1.

[0096] ty2 is the impact factor corresponding to the unit value of the average data transmission rate preset in the live broadcast information storage library, which represents the degree of influence of the unit value of the average data transmission rate on the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin. The fitting curve corresponding to the average data transmission rate is obtained by fitting the relationship between the historical network bandwidth, the historical data transmission distance and the average data transmission rate, and the fitting curve corresponding to the average data transmission rate is brought into the fitting curve according to the real-time network bandwidth and the data transmission distance, thereby obtaining the impact factor corresponding to the unit value of the average data transmission rate in this example. The value range of this value in this example is 0 to 1.

[0097] ty3 is the impact factor corresponding to the unit value of the total response lag time preset in the live broadcast information storage library, which represents the degree of influence of the unit value of the total response lag time on the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin. The fitting curve corresponding to the total response lag time is obtained by fitting the relationship between the historical network lag time, the historical number of concurrent devices and the total response lag time, and the fitting curve corresponding to the total response lag time is introduced according to the real-time network lag time and the number of concurrent devices, thereby obtaining the impact factor corresponding to the unit value of the total response lag time in this example. The value range of this value in this example is 0 to 1.

[0098] In a specific embodiment, the present invention provides a live broadcast system control method and device for a medical teaching live broadcast cabin. By acquiring signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs, the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is objectively and accurately analyzed, data support is provided for subsequent matching of the live broadcast environment configuration set, performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs are collected, and the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is determined. The degree of matching between the current live broadcast environment of the medical teaching live broadcast cabin and the equipment performance can be comprehensively evaluated, and a basis is provided for subsequent improvement and optimization of the medical teaching live broadcast cabin. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, the live broadcast environment improvement method of the medical teaching live broadcast cabin is dynamically matched, the live broadcast environment of the medical teaching live broadcast cabin is quickly adjusted and optimized, and finally the efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs is evaluated, so as to realize control feedback of the live broadcast system of the medical teaching live broadcast cabin, thereby ensuring efficient and stable operation of the live broadcast system of the medical teaching live broadcast cabin.

[0099] The second aspect of the present invention provides a device for applying a live broadcast system control method of a medical teaching live broadcast cabin as described above, characterized in that: it includes: a medical teaching live broadcast cabin, a processor, and a live broadcast control feedback system; the medical teaching live broadcast cabin is used to execute a control process; the processor is used to process signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs, performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, and transmit the determined efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs to the live broadcast control feedback system via the Internet; the live broadcast control feedback system is used to receive the efficiency coefficient of the technical equipment to which the medical teaching live broadcast cabin belongs from the processor, and perform control feedback on the live broadcast system of the medical teaching live broadcast cabin, and finally complete the control of the live broadcast system.

[0100] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for controlling a live broadcast system of a medical teaching live broadcast cabin, characterized in that: include: S1. Obtain the signal parameters of the communication environment of the medical teaching live broadcast cabin, analyze the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin, and match the live broadcast environment configuration set of the medical teaching live broadcast cabin according to the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin; S2. Based on the configuration completion result of the live broadcast environment configuration set, collect the performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, determine the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and compare it with the live broadcast adaptability threshold. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is less than the live broadcast adaptability threshold, execute S3. If the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is greater than or equal to the live broadcast adaptability threshold, complete the live broadcast system control of the medical teaching live broadcast cabin; S3. According to the live broadcast adaptability index of the live broadcast environment of the medical teaching live broadcast cabin, match the live broadcast environment improvement method of the medical teaching live broadcast cabin, evaluate the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin based on the completion results of the live broadcast environment improvement method, and control feedback on the live broadcast system of the medical teaching live broadcast cabin; The control feedback of the live broadcast system of the medical teaching live broadcast cabin is as follows: The efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is compared with the efficiency threshold. If the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is less than the efficiency threshold, the live broadcast control feedback system controls and feedbacks the live broadcast system of the medical teaching live broadcast cabin. If the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is greater than or equal to the efficiency threshold, the live broadcast system control of the medical teaching live broadcast cabin is completed.

2. According to claim 1, a live broadcast system control method for a medical teaching live broadcast cabin is characterized in that: The obtaining of signal parameters of the communication environment to which the medical teaching live broadcast cabin belongs specifically refers to obtaining the signal strength curve of the communication environment to which the medical teaching live broadcast cabin belongs within a signal detection period.

3. According to the method for controlling the live broadcast system of a medical teaching live broadcast cabin in claim 1, it is characterized by: The signal quality coefficient of the communication environment of the medical teaching live broadcast cabin is analyzed, and the specific analysis process is as follows: Obtain a reference signal strength curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period, perform a curve offset comparison with the signal strength curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period, count and accumulate the signal strength offset values ​​of the signal strength curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period on the vertical axis, and obtain a total deviation value of the signal strength of the communication environment of the medical teaching live broadcast cabin; According to the signal strength curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period, the signal strength probability density curve of the communication environment of the medical teaching live broadcast cabin within the signal detection period is generated by using the kernel density estimation method, and each high signal strength probability detection point is marked on the signal strength probability density curve, and the vertical coordinate corresponding to each high signal strength probability detection point is processed by standard deviation to obtain the high signal strength probability discrete value of the communication environment of the medical teaching live broadcast cabin; Mark each skewed sampling data point on the signal strength probability density curve, use the skewness coefficient formula to analyze the vertical coordinate corresponding to each skewed sampling data point, and mark the obtained value as the skewness coefficient of the signal strength probability density curve of the communication environment to which the medical teaching live broadcast cabin belongs. The signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is obtained by comprehensive analysis of the total deviation value of the signal strength of the communication environment to which the medical teaching live broadcast cabin belongs, the discrete value of the high signal strength probability of the communication environment to which the medical teaching live broadcast cabin belongs, and the skewness coefficient of the signal strength probability density curve of the communication environment to which the medical teaching live broadcast cabin belongs.

4. According to claim 3, a live broadcast system control method for a medical teaching live broadcast cabin is characterized in that: The signal quality coefficient of the communication environment of the medical teaching live broadcast cabin is specifically expressed as: ； in, is the signal quality coefficient of the communication environment of the medical teaching live broadcast cabin, is the total deviation value of the signal strength of the communication environment of the medical teaching live broadcast cabin. is the high signal strength probability discrete value of the communication environment of the medical teaching live broadcast cabin. is the skewness coefficient of the signal strength probability density curve of the communication environment of the medical teaching live broadcast cabin, is the impact factor corresponding to the unit value of the total deviation value of signal strength preset in the live broadcast information storage library, is the impact factor corresponding to the high signal strength probability discrete value unit value preset in the live broadcast information storage library, is the impact factor corresponding to the unit value of the skewness coefficient preset in the live information storage library, and e is a natural constant.

5. According to claim 1, a live broadcast system control method for a medical teaching live broadcast cabin is characterized in that: The live broadcast environment configuration set matching the medical teaching live broadcast cabin, the specific matching process is: The signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is matched with the live broadcast environment configuration set corresponding to each signal quality coefficient interval stored in the live broadcast information storage repository to obtain the live broadcast environment configuration set of the medical teaching live broadcast cabin. The specific matching process is: each signal quality coefficient interval corresponds to the live broadcast environment configuration set, and the signal quality coefficient interval to which the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is queried. The live broadcast environment configuration set corresponding to the signal quality coefficient interval to which the signal quality coefficient of the communication environment to which the medical teaching live broadcast cabin belongs is the live broadcast environment configuration set of the medical teaching live broadcast cabin.

6. According to claim 1, a live broadcast system control method for a medical teaching live broadcast cabin is characterized in that: The specific determination process of determining the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is as follows: Locate each temperature measurement detection point of the live broadcast environment to which the medical teaching live broadcast cabin belongs, obtain the end temperature of each temperature measurement detection point at the end time point of the live broadcast environment detection cycle and the initial temperature at the start time point of the live broadcast environment detection cycle, perform difference processing to obtain the temperature increment of each temperature measurement detection point of the live broadcast environment to which the medical teaching live broadcast cabin belongs, and perform mean processing to obtain the average temperature increment of the live broadcast environment to which the medical teaching live broadcast cabin belongs; Obtain an activity reserved area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs, extract the activity required area of ​​the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs from the performance parameters of the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, perform difference processing on the activity reserved area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs and the activity required area of ​​the teaching live broadcast equipment to which the medical teaching live broadcast cabin belongs, and obtain an activity buffer area of ​​the live broadcast environment to which the medical teaching live broadcast cabin belongs; The average frame rate and average number of pixels of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment detection period are extracted from the performance parameters of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin, and the average frame rate is multiplied by the weighting factor corresponding to the average frame rate preset in the live broadcast information storage library, and the average number of pixels is multiplied by the weighting factor corresponding to the average number of pixels preset in the live broadcast information storage library, and the sum is accumulated to obtain the video quality weighted value of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin. The live broadcast adaptability index of the live broadcast environment of the medical teaching live broadcast cabin is comprehensively determined by the average temperature increment of the live broadcast environment of the medical teaching live broadcast cabin, the active buffer area of ​​the live broadcast environment of the medical teaching live broadcast cabin, and the video quality weighted value of the teaching live broadcast equipment belonging to the medical teaching live broadcast cabin.

7. According to claim 1, a live broadcast system control method for a medical teaching live broadcast cabin is characterized in that: The method for improving the live broadcast environment of the medical teaching live broadcast cabin is specifically matched as follows: The live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is matched with the live broadcast environment improvement method corresponding to each live broadcast adaptability index interval stored in the live broadcast information storage repository to obtain the live broadcast environment improvement method of the medical teaching live broadcast cabin. The specific matching process is: each live broadcast adaptability index interval corresponds to the live broadcast environment improvement method, and the live broadcast adaptability index interval to which the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is queried. The live broadcast environment improvement method corresponding to the live broadcast adaptability index interval to which the live broadcast adaptability index of the live broadcast environment to which the medical teaching live broadcast cabin belongs is the live broadcast environment improvement method of the medical teaching live broadcast cabin.

8. According to claim 1, a live broadcast system control method for a medical teaching live broadcast cabin is characterized in that: The specific evaluation process of evaluating the efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin is as follows: Obtain the energy consumption value of each technical equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment assessment period, and accumulate the total energy consumption value of the technical equipment belonging to the medical teaching live broadcast cabin; The amount of data transmitted by each technical device in the medical teaching live broadcast cabin during the live broadcast environment evaluation period is obtained, and the ratio analysis is performed with the duration corresponding to the live broadcast environment evaluation period to obtain the data transmission rate of each technical device in the medical teaching live broadcast cabin, and the average data transmission rate of the technical devices in the medical teaching live broadcast cabin is obtained by average processing; The response lag time of each technical equipment belonging to the medical teaching live broadcast cabin during the live broadcast environment assessment period is obtained, and the total response lag time of the technical equipment belonging to the medical teaching live broadcast cabin is accumulated to obtain the total response lag time of the technical equipment belonging to the medical teaching live broadcast cabin. The efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin is comprehensively evaluated through the total energy consumption value of the technical equipment belonging to the medical teaching live broadcast cabin, the average data transmission rate of the technical equipment belonging to the medical teaching live broadcast cabin and the total response lag time of the technical equipment belonging to the medical teaching live broadcast cabin.

9. A device using a live broadcast system control method of a medical teaching live broadcast cabin as described in any one of claims 1 to 8, characterized in that: include: Medical teaching live broadcast cabin, processor, live broadcast control feedback system; The medical teaching live broadcast cabin is used to execute the control process; The processor is used to process the signal parameters of the communication environment of the medical teaching live broadcast cabin, the performance parameters of the teaching live broadcast equipment of the medical teaching live broadcast cabin, and transmit the determined efficiency coefficient of the technical equipment of the medical teaching live broadcast cabin to the live broadcast control feedback system through the Internet; The live broadcast control feedback system is used to receive the efficiency coefficient of the technical equipment belonging to the medical teaching live broadcast cabin of the processor, and to control and feedback the live broadcast system of the medical teaching live broadcast cabin, and finally complete the control of the live broadcast system.

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