Intelligent concert cheering stick control system based on the Internet of Things

Abstract

The present invention relates to the field of intelligent control technology, specifically to an intelligent concert cheering stick control system based on the Internet of Things. The system includes a delay identification module, a synchronization strategy module, a parameter adjustment module, a real-time monitoring module, a network construction module, and a dynamic adjustment module. In the present invention, by carefully analyzing the time differences in the signal transmission and processing process, a high degree of synchronization of the concert cheering sticks is achieved, significantly improving the audience's visual experience. Precise time calibration allows the cheering sticks to be perfectly aligned with the music rhythm and performance content on the stage even in large venues, eliminating the visual disharmony caused by time delay. The brightness and response rate are further adjusted according to the venue characteristics and audience density to optimize the light effect performance, ensuring that audiences in different areas can obtain the best viewing effect. In addition, the visual performance of the concert site can be evaluated and optimized in real time to ensure that each performance can meet the expected visual effect standards.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent concert cheering stick control system based on the Internet of Things. Background Art

[0002] The field of intelligent control technology encompasses the use of advanced algorithms and technologies to enhance the autonomous decision-making capabilities of devices, systems, or machines. By integrating technologies such as artificial intelligence, machine learning, neural networks, and fuzzy logic, these technologies enable devices to self-optimize, self-regulate, and perform complex tasks without direct human intervention. In practical applications, intelligent control systems are widely used in a variety of fields, including industrial automation, intelligent transportation systems, smart homes, and healthcare, improving operational efficiency and the system's intelligent responsiveness.

[0003] The IoT-based intelligent concert cheering stick control system uses IoT technology to achieve centralized control and synchronized display of cheering sticks during concerts. This allows audience members to change color and lighting patterns in sync with the music and performance, enhancing the visual and emotional experience. This intelligent control technology not only enhances audience interaction but also provides concert organizers with a new way to create visual effects for performances.

[0004] Existing intelligent control technology has significant shortcomings in addressing the issue of synchronized display of cheering sticks at large concerts. In particular, without time difference analysis and real-time feedback adjustment, signal transmission delays within large venues can cause the cheering sticks in the audience's hands to be out of sync with the stage performance, affecting the viewing effect and the audience's emotional experience. A lack of consideration for venue characteristics and audience density results in suboptimal settings for brightness and response rate, preventing audiences in some areas from enjoying the optimal visual performance. Without the support of real-time monitoring and dynamic adjustment mechanisms, existing systems struggle to adapt to various changes that occur during a concert, such as climate impacts and changes in crowd density, further reducing the visual effect and overall coordination of the performance. Therefore, existing technologies are insufficient in providing a flexible and responsive visual synchronization system, failing to fully realize the potential of the technology and meet the high standards required for live performances. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the existing technology and propose an intelligent concert cheering stick control system based on the Internet of Things.

[0006] In order to achieve the above purpose, the present invention adopts the following technical solutions: the intelligent concert support stick control system based on the Internet of Things includes:

[0007] The delay identification module collects time-stamped data from the transmission and processing of cheering stick control signals, calculates the signal arrival times between cheering sticks in differentiated areas, performs time difference analysis, and obtains time difference values;

[0008] The synchronization strategy module uses the time difference value and the Internet of Things to calibrate the state transition time of the cheering stick, and obtains the synchronization control parameters by comparing the set synchronization standard with the real-time performance;

[0009] The parameter adjustment module adjusts the brightness and reaction rate parameters according to the venue characteristics and audience density through the synchronization control parameters, and optimizes the synchronization performance through multiple adjustments to obtain optimized parameters;

[0010] The real-time monitoring module uses the optimized parameters to collect real-time status data of the cheering sticks during the concert, gradually adjusts the control strategy to match the dynamic changes of the concert, and generates status synchronization results;

[0011] Based on the state synchronization results, the network construction module uses the Internet of Things, takes the cheering sticks as nodes, determines the communication protocol between the nodes and their neighbors, records the communication efficiency of the nodes, and generates a network connection diagram;

[0012] The dynamic adjustment module uses the network connection diagram to adjust the control instructions of a single cheering stick, synchronize the display effects of the cheering sticks in the entire field, perform multiple tests and adjustments to achieve the optimal visual effect, and obtain visual effect evaluation results.

[0013] As a further solution of the present invention, the time difference value includes the time interval data, start time, end time, time difference and average time difference of signal transmission between cheering sticks; the synchronization control parameters include the calibration value of the state transition time, the signal strength adjustment index and the time deviation correction index; the optimized parameters include the brightness adjustment level, the reaction rate value and the corresponding venue characteristics and audience density matching index; the state synchronization results include the state data records, brightness level, color changes and reaction speed of the cheering sticks in the concert; the network connection diagram includes the communication efficiency data, communication protocol type and connectivity status between the nodes between the cheering stick nodes; the visual effect evaluation results include the statistical analysis results of the display synchronization, color consistency and brightness distribution of the cheering sticks throughout the venue.

[0014] As a further solution of the present invention, the delay identification module includes:

[0015] The timestamp synchronization submodule collects time stamp data from the transmission and processing of cheering stick control signals, filters the signals related to the concert, and synchronizes the timestamps of multiple data sources to generate a timestamp set;

[0016] The difference analysis submodule uses the time tag set to calculate the signal arrival time between the differentiated concert cheering sticks, identify time deviations, analyze signal transmission efficiency and delay characteristics, and obtain deviation identification data;

[0017] The feature analysis submodule analyzes the delay features of multiple concert areas through the deviation identification data, formulates measures to optimize the overall signal processing performance, and obtains time difference results.

[0018] As a further solution of the present invention, the synchronization strategy module includes:

[0019] The state calibration submodule uses the time difference results and the Internet of Things to calibrate the state transition time of the cheering stick, verify the consistency of the time setting of each device with the central control, and generate calibration control parameters;

[0020] The standard comparison submodule uses the calibration control parameters and the weighted moving average method to analyze the deviation between the equipment status and the preset standard to obtain the synchronization efficiency result;

[0021] Based on the synchronization efficiency results, the parameter acquisition submodule analyzes the difference between the real-time performance of the device and the synchronization standard, optimizes the synchronization control logic, matches the real-time network conditions and device performance, and obtains the synchronization control parameters.

[0022] As a further solution of the present invention, the formula of the weighted moving average method is as follows:

[0023]

[0024] Among them, E t Represents the weighted synchronization efficiency value, x t represents the device state value at time point t, w i represents the i-th weight, n i Represents the number of status records.

[0025] As a further solution of the present invention, the parameter adjustment module includes:

[0026] The characteristic analysis submodule analyzes the characteristics of the concert venue and the audience density through the synchronous control parameters, matches the differentiated scene requirements, and generates scene adaptation parameters;

[0027] The rate adjustment submodule adjusts the brightness and reaction rate of the support stick based on the scene adaptation parameters, performs multiple experiments to test the effect of the parameter settings, and collects feedback data to obtain the adjusted synchronization parameters;

[0028] The performance optimization submodule uses the adjusted synchronization parameters to optimize the overall synchronization performance through continuous performance testing and parameter adjustment, verifies that the parameter settings meet the real-time application requirements, and obtains the optimized parameters.

[0029] As a further solution of the present invention, the real-time monitoring module includes:

[0030] The status monitoring submodule monitors and collects the status data of the cheering sticks during the concert in real time based on the optimized parameters, including brightness changes, reaction speed and frequency, and audience interaction reactions, to generate a real-time status data set;

[0031] The strategy optimization submodule uses the real-time status data set to analyze the dynamic changes of the concert, analyze the audience's enthusiasm and the changes in the venue's brightness, and adjust the control strategy, check the response speed and efficiency of the cheering stick, and obtain the adjusted control strategy;

[0032] The effect verification submodule optimizes the synchronization effect of the cheering stick through the adjusted control strategy, checks the synchronization and responsiveness of the cheering stick and the rhythm of the concert, and obtains the status synchronization result.

[0033] As a further solution of the present invention, the network construction module includes:

[0034] The communication parameter configuration submodule configures the support stick as a network node based on the status synchronization result and utilizes the Internet of Things, sets basic communication parameters for each node, verifies that the data transmission and reception capabilities between nodes meet preset standards, and generates node configuration data;

[0035] The protocol determination submodule uses a genetic algorithm to determine the communication protocol between each node and its neighboring nodes through the node configuration data, adjusts and optimizes the protocol parameters to match various concert requirements, and obtains the communication protocol settings;

[0036] The efficiency recording submodule adopts the communication protocol setting to monitor and record the communication efficiency of each node, including signal strength, response time and data packet loss rate, analyze and organize the data, optimize network performance, and obtain a network connection diagram.

[0037] As a further solution of the present invention, the formula of the genetic algorithm is as follows:

[0038]

[0039] Among them, F(x) is the communication protocol fitness of the node, P represents the communication protocol parameters of the real-time node, T represents the target protocol parameters, G represents the number of iterations, N represents the number of neighbor nodes, and C is the fitness correction coefficient.

[0040] As a further solution of the present invention, the dynamic adjustment module includes:

[0041] The command adjustment submodule adjusts the control commands of individual cheering sticks based on the network connection diagram, checks the display commands of the cheering sticks are synchronized with the entire field, optimizes the information transmission path and command sending timing, and generates command synchronization parameters;

[0042] The test execution submodule uses the command synchronization parameters to perform a synchronization test on the display effect of the cheering sticks throughout the field, adjusts the display parameters through real-time feedback, performs multiple rounds of testing, and obtains synchronization test results;

[0043] The effect analysis submodule uses the synchronous test results to evaluate the visual effects of the entire venue, analyze the display effects of differentiated areas and the audience's visual feedback, optimize the display plan, and obtain visual effect evaluation results.

[0044] Compared with the prior art, the advantages and positive effects of the present invention are

[0045] In the present invention, by carefully analyzing the time differences in the signal transmission and processing process and adjusting the state transition time, a high degree of synchronization of the concert cheering sticks is achieved, significantly improving the audience's visual experience. Accurate time calibration allows the cheering sticks in the hands of the audience to be perfectly aligned with the music rhythm and performance content on the stage even in large venues, eliminating the visual disharmony caused by time delays. The brightness and response rate are further adjusted according to the venue characteristics and audience density to optimize the lighting performance and ensure that the audience in different areas can obtain the best viewing effect. The status of the cheering sticks is monitored in real time and the control strategy is adjusted according to the dynamic changes of the concert to enhance the adaptability and flexibility of the system. Through multiple tests and adjustments, the optimal visual effect is achieved, and the visual performance of the concert site can be evaluated and optimized in real time to ensure that each performance can meet the expected visual effect standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a system flow chart of the present invention;

[0047] Figure 2 Schematic diagram of the system framework of the present invention;

[0048] Figure 3 This is a flow chart of the delay identification module of the present invention;

[0049] Figure 4 This is a flow chart of the synchronization strategy module of the present invention;

[0050] Figure 5 This is a flow chart of the parameter adjustment module of the present invention;

[0051] Figure 6 This is a flow chart of the real-time monitoring module of the present invention;

[0052] Figure 7 It is a flow chart of the network construction module of the present invention;

[0053] Figure 8 This is a flow chart of the dynamic adjustment module of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0056] See also Figures 1 to 2 The IoT-based smart concert cheering stick control system includes:

[0057] The delay identification module collects time-stamped data from the transmission and processing of cheering stick control signals, calculates the signal arrival times between cheering sticks in different areas, performs time difference analysis, and records the analysis results to obtain time difference values;

[0058] The synchronization strategy module uses time difference values ​​and the Internet of Things to calibrate the state transition time of the cheering stick. By comparing the set synchronization standard with the real-time performance, the synchronization control parameters are obtained.

[0059] The parameter adjustment module monitors the performance of synchronization control parameters in differentiated concerts, adjusts brightness and response rate parameters according to venue characteristics and audience density, and optimizes synchronization performance through multiple adjustments to obtain optimized parameters.

[0060] The real-time monitoring module uses the optimized parameters to collect real-time data on the status of the cheering sticks during the concert, analyzes the deviation from the optimized parameters, and gradually adjusts the control strategy to match the dynamic changes of the concert, generating state synchronization results.

[0061] Based on the state synchronization results, the network construction module uses the Internet of Things, treats the cheering sticks as nodes, determines the communication protocol between each node and its neighbors, and records the communication efficiency of each node to generate a network connection diagram;

[0062] The dynamic adjustment module uses the network connection diagram to adjust the control instructions of a single cheering stick, synchronize the display effects of cheering sticks across the entire field, conduct multiple tests and adjustments to achieve the optimal visual effect, and obtain visual effect evaluation results.

[0063] The time difference value includes the time interval data, start time, end time, time difference and average time difference of signal transmission between cheering sticks. The synchronization control parameters include the calibration value of the state transition time, the signal strength adjustment index and the time deviation correction index. The optimized parameters include the brightness adjustment level, the reaction rate value and the corresponding venue characteristics and audience density matching index. The state synchronization results include the state data records, brightness level, color changes and reaction speed of the cheering sticks in the concert. The network connection diagram includes the communication efficiency data, communication protocol type and connectivity status between nodes between cheering stick nodes. The visual effect evaluation results include the statistical analysis results of the display synchronization, color consistency and brightness distribution of the cheering sticks throughout the venue.

[0064] See also Figure 2 、 3 , the delay identification module includes:

[0065] The timestamp synchronization submodule collects timestamp data from the transmission and processing of cheering stick control signals, filters the signals related to the concert, and synchronizes the timestamps of multiple data sources to generate a timestamp set. The execution process is as follows:

[0066] The key to the timestamp synchronization submodule is to filter and synchronize timestamps from multi-source data, and standardize the timestamps of the input signals through a high-precision clock source. The standardized timestamps can effectively align the time information from different data sources, and use efficient data filtering algorithms to identify signal data related to a specific concert from numerous signals, involving the matching of signal attributes and the setting of time windows. The matching algorithm accurately compares the characteristic code and timestamp of the signal to ensure that only signals that meet the specific standards of the concert are selected. Through a dynamically adjusted synchronization algorithm, it is ensured that the timestamps collected from different data sources can be represented in a unified time frame. The synchronization algorithm not only adjusts the time deviation, but also optimizes the delay during data transmission to generate a time tag set.

[0067] The difference analysis submodule uses a time stamp set to calculate the signal arrival time between the different concert cheering sticks, identify time deviations, analyze signal transmission efficiency and delay characteristics, and obtain the deviation identification data. The execution process is as follows;

[0068] The difference analysis submodule uses the time tag set, according to the formula Calculate the difference in signal arrival time. In the formula, T d represents the total time deviation, t a and t a+1 represents the arrival time of continuous signals, and Δt represents the time interval under ideal conditions.

[0069] Detailed explanation of the formula and the calculation derivation process of the formula: Consider a specific example. There are five continuous signals with arrival times of 0.001s, 0.003s, 0.007s, 0.012s, and 0.020s, respectively. The ideal time interval is 0.005s.

[0070] The calculation process is as follows:

[0071] Calculate the difference between consecutive signal time intervals: 0.002s, 0.004s, 0.005s, 0.008s

[0072] Calculate the total time deviation: (0.002+0.004+0.005+0.008)

[0073] -4×0.005=0.019-0.020=-0.001s

[0074] The results show that there is a slight time advance in the overall signal transmission, which is caused by higher-than-expected signal transmission efficiency or faster data processing speed.

[0075] The feature analysis submodule uses deviation identification data to analyze the delay characteristics of multiple concert areas and formulates measures to optimize the overall signal processing performance. The execution process for obtaining the time difference results is as follows;

[0076] The feature analysis submodule analyzes the delay characteristics of multiple regions through deviation identification data. In the initial stage, the deviation data of each region is collected and integrated, and the data is classified and counted to analyze the delay fluctuations of each region within a specific time period. Statistical models such as standard deviation and variance calculation are used to determine the consistency and variability of delays between regions. Regression analysis methods are used to analyze the trends of deviation data and identify abnormal delay patterns. The analysis results help the technical team develop signal optimization measures for specific regions and improve overall signal processing performance. Through simulation tests and actual application feedback, the effectiveness of the measures taken and the impact of the adjusted system on signal synchronization in large-scale events are evaluated, and time difference results are obtained.

[0077] See also Figure 2 、 4 , the synchronization strategy module includes:

[0078] The state calibration submodule uses the time difference results and the Internet of Things to calibrate the state transition time of the cheering stick, verify the consistency of the time setting of each device with the central control, and generate the calibration control parameters. The execution process is as follows;

[0079] The state calibration submodule uses the Internet of Things technology and follows the formula T c =max(t b )-min(t c ), calibrate the state transition time of the cheering stick. In the formula, t b represents the maximum calibration time deviation, t c Represents the state transition time of each device.

[0080] Detailed explanation of the formula and the process of formula calculation and derivation:

[0081] The state transition times of the four devices are set to 0.45s, 0.48s, 0.50s, and 0.47s respectively.

[0082] The calculation process is as follows:

[0083] 1. Find the maximum time max(t i )=0.50s and minimum time min(t i )=0.45s

[0084] 2. Calculate the maximum time deviation: T c =0.50-0.45=0.05s

[0085] This indicates that under the current network and device conditions, the maximum calibration time deviation is 0.05 seconds, showing the maximum time error in device status synchronization in the system.

[0086] The standard comparison submodule calibrates the control parameters and uses the weighted moving average method to analyze the deviation between the equipment status and the preset standard to obtain the synchronization efficiency result. The execution process is as follows;

[0087] The formula for the weighted moving average method is as follows:

[0088]

[0089] Among them, E t Represents the weighted synchronization efficiency value, x t represents the device state value at time point t, w i represents the i-th weight, n i Represents the number of status records.

[0090] Detailed explanation of the formula and the process of formula calculation and derivation:

[0091] In the weighted moving average method, used to calculate the synchronization efficiency, the real-time status data of the equipment xt It needs to be obtained at a specific time point t through sensor monitoring. Weight w i The weight is assigned based on the timeliness of each status data, with the latest data being given the highest weight. The weight value is set based on the frequency of data changes and importance.

[0092] For example, the latest three monitoring status data are x t =80,x t-1 =78,x t-2 =75, the corresponding weights are set to w1 = 0.5, w2 = 0.3, and w3 = 0.2. The weights are set based on the standard deviation and average of the data changes over the past week, and the weights decrease as the data deviation decreases.

[0093] The specific calculation steps are as follows:

[0094] 1. Determine the weight: weight w i Determined by the importance of the data, by analyzing the data of the past week, it is found that the closer the data is to the current time, the greater the change, so set w1=0.5, w2=0.3, w3=0.2.

[0095] 2. Calculate weighted values: Calculate the weighted value of each state:

[0096] w1·x t =0.5·80=40

[0097] w2·x t-1 =0.3·78=23.4

[0098] w3·x t-2 =0.2·75=15

[0099] 3. Calculate the total weight of the denominator:

[0100]

[0101] 4. Calculate the weighted moving average:

[0102]

[0103] The results show that, given the given weights and the three most recent device status data, the synchronization efficiency value is 78.4. This value indicates that the current device status is highly consistent with the preset synchronization standard, indicating that the device is operating well. This allows managers to instantly understand the specific deviations between device status and the expected standard and make necessary adjustments to maintain optimal device operation.

[0104] Based on the synchronization efficiency results, the parameter acquisition submodule analyzes the differences between the device's real-time performance and the synchronization standard, optimizes the synchronization control logic, and matches the real-time network conditions and device performance. The execution process for obtaining synchronization control parameters is as follows:

[0105] The parameter acquisition submodule analyzes the differences between the device's real-time performance and the synchronization standard based on the synchronization efficiency results. It collects the device's status data and synchronization efficiency data through the real-time monitoring system, evaluates the device's performance under current network conditions based on the data, analyzes the delay pattern and performance stability shown in the data, and uses the analysis results to adjust the synchronization control logic and optimize the parameters related to the matching of network conditions and device performance. During the adjustment process, various factors such as network bandwidth, delay, and device processing power are considered to ensure that the synchronization control parameters can work effectively under various operating conditions and obtain the synchronization control parameters.

[0106] See also Figure 2 、 5 , the parameter adjustment module includes:

[0107] The characteristic analysis submodule analyzes the characteristics of the concert venue and the audience density by synchronizing control parameters, matching differentiated scene requirements, and generating scene adaptation parameters. The execution process is as follows;

[0108] The characteristic analysis submodule conducts a detailed analysis of the characteristics of the concert venue and the audience density through synchronous control parameters, and collects detailed data on various concert venues, including venue capacity, acoustic characteristics, audience mobility, etc., combined with audience density information, using data analysis techniques such as cluster analysis and principal component analysis to identify the demand characteristics in different scenarios. The analysis helps to determine the scenario factors that most affect the synchronization performance of the cheering sticks, design scenario adaptation parameters, and adjust the settings of the cheering sticks to better adapt to different scenario requirements, such as increasing signal strength in high-density audience areas or adjusting the signal range in open venues to ensure that the audience in each area can get the best interactive experience and generate scenario adaptation parameters.

[0109] The rate adjustment submodule adjusts the brightness and reaction rate of the support stick based on the scene adaptation parameters. It performs multiple experiments to test the effect of the parameter settings and collects feedback data to obtain the adjusted synchronization parameters. The execution process is as follows:

[0110] The rate adjustment submodule adjusts the brightness and response rate of the cheering stick based on the scene adaptation parameters. Before the adjustment begins, a set of baseline parameters are set, and multiple experimental adjustments are performed based on the scene adaptation parameters. During the test, the brightness level and response speed of the cheering stick are adjusted to adapt to the needs of different audience densities and venue characteristics. The impact of various parameter settings is verified through experiments, and feedback from experimental participants is collected, including satisfaction with brightness and response speed and evaluation of the interactive experience. Further refinement of parameter settings based on feedback data can significantly enhance the audience's sense of participation and the overall quality of performance interaction, and obtain adjusted synchronization parameters.

[0111] The performance optimization submodule uses the adjusted synchronization parameters to optimize the overall synchronization performance through continuous performance testing and parameter adjustment, verifying that the parameter settings meet the real-time application requirements. The execution process for obtaining the optimized parameters is as follows:

[0112] The performance optimization submodule uses the adjusted synchronization parameters according to the formula Optimize the overall synchronization performance. In the formula, P opt Represents the optimized performance index, P ti and P ci Represent the test and current performance parameters respectively.

[0113] Detailed explanation of the formula and the process of formula calculation and derivation:

[0114] In the five performance tests, the performance differences between the original synchronization parameters and the test parameters are 0.1, 0.3, 0.2, 0.5, and 0.4 respectively.

[0115] The calculation process is as follows:

[0116] 1. Calculate the square of the performance difference: 0.01, 0.09, 0.04, 0.25, 0.16

[0117] 2. Calculate the average performance index:

[0118] The results show that the adjusted synchronization parameters improve the performance indicators on average, indicating that the adjusted parameters are more suitable for real-time application requirements and enhance the synchronization effect and stability of the system.

[0119] See also Figure 2 、 6 , the real-time monitoring module includes:

[0120] The state monitoring submodule uses optimized parameters to monitor and collect real-time status data of the cheering sticks during the concert, including brightness changes, response speed and frequency, and audience interaction. The execution process for generating a real-time status dataset is as follows:

[0121] The status monitoring submodule uses optimized parameters to monitor the performance of the cheering batons during the concert in real time, collecting data on brightness changes, reaction speed and frequency, and audience interaction. Multiple sensors and data collection points are deployed to ensure that comprehensive status data is collected from every corner of the concert. Through real-time data transmission technologies such as wireless networks or Bluetooth, the data is sent to the central monitoring system. The monitoring system performs real-time analysis of the collected data, including rapid changes in brightness, measurement of reaction time, and statistical analysis of frequency. The data is organized into a real-time status dataset to provide a basis for subsequent analysis and control strategy adjustment, ensuring that the cheering batons can accurately reflect the atmosphere of the concert and the enthusiasm of the audience at any time, generating a real-time status dataset.

[0122] The strategy optimization submodule uses a real-time status dataset to analyze the dynamic changes of the concert, analyze the audience's enthusiasm and the changes in the venue's brightness, and adjust the control strategy. It also checks the response speed and efficiency of the cheering sticks. The execution process of the adjusted control strategy is as follows:

[0123] The strategy optimization submodule uses a real-time status dataset to analyze the dynamic situation within the concert venue and adjust the control strategy of the cheering batons to adapt to changes in the concert. The process includes evaluating the changing trends of audience enthusiasm and real-time data on the venue brightness. Through this data, it identifies when and how to adjust the brightness and response speed of the cheering batons to best match the atmosphere of the concert. Based on the response speed and efficiency data, the frequency and synchronization accuracy of the cheering batons are adjusted to ensure that the adjustments in each link are based on actual monitoring data and analysis results, thereby improving the adaptability and efficiency of the control strategy and obtaining an adjusted control strategy.

[0124] The effect verification submodule uses the adjusted control strategy to optimize the synchronization of the cheering sticks, check the synchronization and responsiveness of the cheering sticks and the consistency of the concert rhythm, and obtain the state synchronization results. The execution process is as follows:

[0125] The effect verification submodule uses the adjusted control strategy according to the formula Optimize the synchronization effect of the cheering stick. In the formula, S sync represents the synchronization score, R d and C d Represents the actual and ideal response time respectively.

[0126] Detailed explanation of the formula and the process of formula calculation and derivation:

[0127] Five data points are set to represent the difference between the response time of the cheering stick and the ideal rhythm: 0.02s, 0.01s, 0.03s, 0.02s, and 0.04s.

[0128] The calculation process is as follows:

[0129] 1. Calculate the absolute difference: 0.02, 0.01, 0.03, 0.02, 0.04

[0130] 2. Calculate the synchronization score:

[0131] The results show that the adjusted control strategy successfully optimizes the synchronization effect of the cheering sticks, reduces the deviation of the response time, makes the synchronization and responsiveness of the cheering sticks more in line with the requirements of the concert rhythm, and enhances the audience's interactive experience.

[0132] See also Figure 2 、 7 , the network building blocks include:

[0133] The communication parameter configuration submodule uses the IoT to configure the support stick as a network node based on the status synchronization results, sets the basic communication parameters for each node, verifies that the data transmission and reception capabilities between nodes meet the preset standards, and generates node configuration data. The execution process is as follows:

[0134] The communication parameter configuration submodule uses the Internet of Things technology and follows the formula Configure the cheering stick as a network node. In the formula, P comm Represents the effectiveness score of the communication parameter configuration, T f represents the actual transmission time of each node, T std Represents the preset standard transmission time, n f represents the number of nodes f.

[0135] Detailed explanation of the formula and the process of formula calculation and derivation:

[0136] The actual transmission times of the five nodes are set to 0.95ms, 1.00ms, 0.98ms, 1.02ms, and 1.05ms respectively, and the preset standard transmission time is 1.00ms.

[0137] The calculation process is as follows:

[0138] Calculate the square of the difference between the transmission time of each node and the standard time: 0.0025, 0, 0.0004, 0.0004, 0.0025.

[0139] Calculate the average performance score:

[0140] The results show that the basic communication parameters of each node are successfully set, so that the data transmission and reception capabilities between nodes reach the preset standards, ensuring the effective communication of network nodes.

[0141] The protocol determination submodule uses genetic algorithms based on node configuration data to determine the communication protocol between each node and its neighboring nodes, adjusts and optimizes protocol parameters to match various concert requirements, and obtains the following execution flow for communication protocol settings;

[0142] The formula of the genetic algorithm is as follows:

[0143]

[0144] Among them, F(x) is the communication protocol fitness of the node, P represents the communication protocol parameters of the real-time node, T represents the target protocol parameters, G represents the number of iterations, N represents the number of neighbor nodes, and C is the fitness correction coefficient.

[0145] Detailed explanation of the formula and the process of formula calculation and derivation:

[0146] When using genetic algorithms to optimize communication protocols, the key evaluation indicator used is the fitness function F(x). The formula combines the difference between the current protocol and the target protocol, the algebraic progress, and the connection complexity of the network nodes.

[0147] 1. Parameters P and T represent the current node's communication protocol parameters and target protocol parameters, respectively. Data collected through a network monitoring tool. For example, if a node's current communication parameter is 15 and the target parameter is set to 20.

[0148] 2. The parameter G represents the iterative number of the genetic algorithm, that is, the number of completed optimization cycles, which is obtained through the internal tracking record of the algorithm and is set to 5 iterations.

[0149] 3. Parameter N is the number of neighbor nodes of the node, which can be obtained through the network topology discovery tool. Set the node to have three directly connected neighbor nodes.

[0150] 4. Parameter C is the fitness correction coefficient, which is used to adjust the sensitivity of the fitness calculation. Based on optimization experience and parameter debugging results, a coefficient value of 1.2 was selected. This value was obtained through multiple experimental optimizations to balance the sensitivity of the algorithm response and the needs of actual application scenarios.

[0151] Enter specific values ​​for calculation:

[0152] P=15, T=20, G=5, N=3, C=1.2

[0153] Calculate the absolute value of the difference between P and T: |PT| = |15-20| = 5

[0154] Find the square root of the difference:

[0155]

[0156] Calculate the sum of G+N:

[0157] G+N=5+3=8

[0158] Substituting the above two results into the formula:

[0159] The results show that under the current algorithm iteration and network settings, the node's communication protocol fitness is 0.3354. The value reflects the degree of adaptation between the node's current protocol and the target protocol. A lower fitness value suggests that further adjustment of the communication protocol or increase of algorithm iteration is needed to improve the adaptation effect and ensure the consistency and stability of communication between nodes. By optimizing the protocol parameters, a more efficient and stable network communication environment can be achieved.

[0160] The efficiency recording submodule uses the communication protocol settings to monitor and record the communication efficiency of each node, including signal strength, response time, and data packet loss rate. It analyzes and organizes the data to optimize network performance and obtain the network connection diagram. The execution process is as follows;

[0161] The efficiency recording submodule uses communication protocol settings to intensively monitor the communication efficiency of each node, collect key indicators such as signal strength, response time, and data packet loss rate, and continuously record data through monitoring equipment installed in different locations. Using data analysis tools such as time series analysis and fault detection algorithms, the collected data is deeply analyzed to identify communication bottlenecks or causes of performance degradation. Based on the analysis results, the network configuration is adjusted to improve the efficiency and reliability of data transmission. Through a continuous optimization process, the optimized network architecture and performance indicators are displayed, providing a scientific basis for future network expansion and upgrades, and obtaining a network connection diagram.

[0162] See also Figure 2 、 8 , the dynamic adjustment module includes:

[0163] The command adjustment submodule adjusts the control commands of individual cheering batons based on the network connection diagram, verifies that the baton's display commands are synchronized with the entire field, optimizes the information transmission path and command sending timing, and generates command synchronization parameters. The execution process is as follows:

[0164] The command adjustment submodule adjusts the control commands of the cheering sticks through the network connection diagram to ensure that the display commands are synchronized with the entire audience. It analyzes the network connection diagram, determines the position of each cheering stick and the connection status between the communication nodes, optimizes the information transmission path, reduces the delay and redundancy of data transmission, adjusts the timing of command sending, and verifies through simulation tests whether the adjusted command timing can maintain the display synchronization of the cheering sticks in the entire audience. During the adjustment process, it captures the command transmission effects under different network conditions to ensure fast and accurate command synchronization in high-density audience areas and marginal areas, provides precise control capabilities for the concert, ensures the unity and smoothness of the visual effects, and generates command synchronization parameters.

[0165] The test execution submodule uses command synchronization parameters to perform a synchronized test of the display effects of cheering sticks throughout the stadium. It adjusts the display parameters through real-time feedback and performs multiple rounds of testing to obtain synchronized test results. The execution process is as follows:

[0166] The test execution submodule uses the instruction synchronization parameters according to the formula Perform synchronous test of display effect. In the formula, S test represents the variance score of the displayed synchrony, V q Represents the display effect of each cheering stick, V avg Represents the average value of all cheering stick display effects, n q Indicates the number of cheering sticks q.

[0167] Detailed explanation of the formula and the process of formula calculation and derivation:

[0168] The display effects of the five cheering sticks are set to scores of 95, 90, 88, 93, and 92 respectively.

[0169] The calculation process is as follows:

[0170] 1. Calculate the average value of the display effect:

[0171] 2. Calculate variance:

[0172] The results show that through multiple rounds of testing and real-time feedback adjustments, the display effect of the cheering stick has become more unified, and the display synchronization parameter optimization is effective, but there is still room for improvement to achieve better visual synchronization.

[0173] The effect analysis submodule uses the synchronous test results to evaluate the visual effects of the entire venue, analyze the display effects of differentiated areas and the audience's visual feedback, optimize the display plan, and obtain the visual effect evaluation results. The execution process is as follows;

[0174] The effect analysis submodule uses synchronous test results to conduct a comprehensive assessment of the visual effects of the entire venue, analyze the display differences between areas and the audience's visual feedback, and identify which areas need further optimization of the display effects by collecting and analyzing the audience's visual satisfaction survey. Special attention is paid to areas where sound and light reflections affect visual performance. Combining actual observations and data analysis, the display plan is adjusted, such as modifying the brightness or color configuration of the cheering sticks to match the visual experience needs of the audience in different areas. Through a series of optimization measures, the overall coordination of the visual effects and audience satisfaction are improved, and the visual effect evaluation results are obtained.

[0175] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. The intelligent concert cheering stick control system based on the Internet of Things is characterized by: The system comprises: The delay identification module collects time-stamped data from the transmission and processing of cheering stick control signals, calculates the signal arrival times between cheering sticks in differentiated areas, performs time difference analysis, and obtains time difference values; The synchronization strategy module uses the time difference value and the Internet of Things to calibrate the state transition time of the cheering stick, and obtains the synchronization control parameters by comparing the set synchronization standard with the real-time performance; The parameter adjustment module adjusts the brightness and reaction rate parameters according to the venue characteristics and audience density through the synchronization control parameters, and optimizes the synchronization performance through multiple adjustments to obtain optimized parameters; The real-time monitoring module uses the optimized parameters to collect real-time status data of the cheering sticks during the concert, gradually adjusts the control strategy to match the dynamic changes of the concert, and generates status synchronization results; Based on the state synchronization results, the network construction module uses the Internet of Things, takes the cheering sticks as nodes, determines the communication protocol between the nodes and their neighbors, records the communication efficiency of the nodes, and generates a network connection diagram; The dynamic adjustment module uses the network connection diagram to adjust the control instructions of a single cheering stick, synchronize the display effects of all cheering sticks, perform multiple tests and adjustments to achieve the optimal visual effect, and obtain visual effect evaluation results; The time difference value includes the time interval data, start time, end time, time difference and average time difference of signal transmission between cheering sticks; the synchronization control parameters include the calibration value of the state transition time, the signal strength adjustment index and the time deviation correction index; the optimized parameters include the brightness adjustment level, the reaction rate value and the corresponding venue characteristics and audience density matching index; the state synchronization result includes the state data record, brightness level, color change and reaction speed of the cheering sticks in the concert; the network connection diagram includes the communication efficiency data, communication protocol type and connectivity status between the cheering stick nodes; the visual effect evaluation result includes the statistical analysis results of the display synchronization, color consistency and brightness distribution of the cheering sticks throughout the venue; The dynamic adjustment module includes: The command adjustment submodule adjusts the control commands of individual cheering sticks based on the network connection diagram, checks the display commands of the cheering sticks are synchronized with the entire field, optimizes the information transmission path and command sending timing, and generates command synchronization parameters; The test execution submodule uses the command synchronization parameters to perform a synchronization test on the display effect of the cheering sticks throughout the field, adjusts the display parameters through real-time feedback, performs multiple rounds of testing, and obtains synchronization test results; The effect analysis submodule uses the synchronous test results to evaluate the visual effects of the entire venue, analyze the display effects of differentiated areas and the audience's visual feedback, optimize the display plan, and obtain visual effect evaluation results.

2. The intelligent concert cheering stick control system based on the Internet of Things according to claim 1 is characterized in that: The delay identification module includes: The timestamp synchronization submodule collects time stamp data from the transmission and processing of cheering stick control signals, filters the signals related to the concert, and synchronizes the timestamps of multiple data sources to generate a timestamp set; The difference analysis submodule uses the time tag set to calculate the signal arrival time between the differentiated concert cheering sticks, identify time deviations, analyze signal transmission efficiency and delay characteristics, and obtain deviation identification data; The feature analysis submodule analyzes the delay features of multiple concert areas through the deviation identification data, formulates measures to optimize the overall signal processing performance, and obtains time difference results.

3. The intelligent concert cheering stick control system based on the Internet of Things according to claim 1 is characterized in that: The synchronization strategy module includes: The state calibration submodule uses the time difference results and the Internet of Things to calibrate the state transition time of the cheering stick, verify the consistency of the time setting of each device with the central control, and generate calibration control parameters; The standard comparison submodule uses the calibration control parameters and the weighted moving average method to analyze the deviation between the equipment status and the preset standard to obtain the synchronization efficiency result; Based on the synchronization efficiency results, the parameter acquisition submodule analyzes the difference between the real-time performance of the device and the synchronization standard, optimizes the synchronization control logic, matches the real-time network conditions and device performance, and obtains the synchronization control parameters.

4. The intelligent concert cheering stick control system based on the Internet of Things according to claim 3 is characterized in that: The formula of the weighted moving average method is as follows: in, Represents the weighted synchronization efficiency value, Represents at a point in time The device status value, Representative weights, Represents the number of status records.

5. The intelligent concert cheering stick control system based on the Internet of Things according to claim 1 is characterized in that: The parameter adjustment module includes: The characteristic analysis submodule analyzes the characteristics of the concert venue and the audience density through the synchronous control parameters, matches the differentiated scene requirements, and generates scene adaptation parameters; The rate adjustment submodule adjusts the brightness and reaction rate of the support stick based on the scene adaptation parameters, performs multiple experiments to test the effect of the parameter settings, and collects feedback data to obtain the adjusted synchronization parameters; The performance optimization submodule uses the adjusted synchronization parameters to optimize the overall synchronization performance through continuous performance testing and parameter adjustment, verifies that the parameter settings meet the real-time application requirements, and obtains the optimized parameters.

6. The intelligent concert cheering stick control system based on the Internet of Things according to claim 1 is characterized in that: The real-time monitoring module includes: The status monitoring submodule monitors and collects the status data of the cheering sticks during the concert in real time based on the optimized parameters, including brightness changes, reaction speed and frequency, and audience interaction reactions, to generate a real-time status data set; The strategy optimization submodule uses the real-time status data set to analyze the dynamic changes of the concert, analyze the audience's enthusiasm and the changes in the venue's brightness, and adjust the control strategy, check the response speed and efficiency of the cheering stick, and obtain the adjusted control strategy; The effect verification submodule optimizes the synchronization effect of the cheering stick through the adjusted control strategy, checks the synchronization and responsiveness of the cheering stick and the rhythm of the concert, and obtains the status synchronization result.

7. The intelligent concert cheering stick control system based on the Internet of Things according to claim 1 is characterized in that: The network building module includes: The communication parameter configuration submodule configures the support stick as a network node based on the status synchronization result and utilizes the Internet of Things, sets basic communication parameters for each node, verifies that the data transmission and reception capabilities between nodes meet preset standards, and generates node configuration data; The protocol determination submodule uses a genetic algorithm to determine the communication protocol between each node and its neighboring nodes through the node configuration data, adjusts and optimizes the protocol parameters to match various concert requirements, and obtains the communication protocol settings; The efficiency recording submodule adopts the communication protocol setting to monitor and record the communication efficiency of each node, including signal strength, response time and data packet loss rate, analyze and organize the data, optimize network performance, and obtain a network connection diagram.

8. The intelligent concert cheering stick control system based on the Internet of Things according to claim 7 is characterized in that: The formula of the genetic algorithm is as follows: in, is the communication protocol fitness of the node, Represents the communication protocol parameters of the real-time node, Represents the target protocol parameters, Represents the number of iterations, represents the number of neighbor nodes, is the fitness correction coefficient.

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