Television and set top box volume cooperative control method and system with remote controller based on volume threshold

Abstract

The invention provides a television and set top box volume cooperative control method and system of a remote controller based on a volume threshold value. Belongs to the technical field of intelligent household appliances, man-machine interaction and multimedia system control. The method comprises the following steps: identifying a connection mode of a set top box and a television, and generating connection mode data; determining an audio output scene type according to the connection mode data, and meanwhile, actively reporting a current audio output scene to a remote controller by the set top box to generate audio output scene reporting data; the set top box actively reports an audio scene and a connection mode, and differentiated collaborative logic is designed, so that the loudness is adjusted by one key, the traditional four-step operation is compressed into one step, the operation efficiency is improved by 75%, the user operation is greatly simplified to only control the set top box when Bluetooth is separated and output, the volume of two devices is adjusted in a linkage manner when HDMI / AV is synchronously output, and the user experience is greatly improved. Cognitive confusion caused by scene inadaptation of the user is eliminated, and scene adaptability is improved.

Description

Technical Field

[0001] This invention proposes a method and system for coordinated volume control of a television and a set-top box based on a volume threshold using a remote control, belonging to the field of smart home appliances, human-computer interaction and multimedia system control technology. Background Technology

[0002] Currently, universal remote controls generally employ a "device-binding" logic for volume control on TVs and set-top boxes. Users need to manually switch control modes to adjust the volume of each device separately. In HDMI / AV simultaneous output scenarios, this method results in redundancy because the final loudness is determined by both the TV volume and the set-top box volume. Users often need to perform multiple steps to adjust to a suitable loudness. At the same time, in Bluetooth separate output or specific HDMI / AV states, users are prone to confusion due to accidentally adjusting the volume of inactive output devices, or even misjudging device malfunctions. In addition, existing technology lacks threshold control for set-top box volume. Excessive volume can easily lead to distortion, and the remote control does not receive the set-top box volume status, requiring users to repeatedly press buttons to adjust, which is inefficient. Summary of the Invention

[0003] This invention provides a method and system for coordinated volume control of a television and set-top box based on a volume threshold using a remote control, in order to solve the problems mentioned in the background art above:

[0004] This invention proposes a method for coordinated volume control of a television and a set-top box based on a volume threshold using a remote control, the method comprising:

[0005] S1: Identify the connection method between the set-top box and the TV and generate connection method data; determine the audio output scene type based on the connection method data; at the same time, the set-top box actively reports the current audio output scene to the remote control and generates audio output scene reporting data.

[0006] S2: Based on the data reported from the audio output scenario, the remote control executes differentiated collaborative strategies;

[0007] S3: The remote control adjusts the volume of the TV and set-top box in a coordinated manner, generating coordinated volume adjustment data;

[0008] S4: By coordinating volume adjustment data, the remote control predicts and evaluates the final loudness of the TV and set-top box, generating final loudness prediction data;

[0009] S5: Based on the user's volume adjustment habits and the final loudness prediction data, the remote control performs intelligent volume optimization processing and generates intelligent volume optimization data; based on the intelligent volume optimization data, the remote control automatically or prompts the user to adjust the volume, and at the same time, the remote control feeds back the intelligent volume optimization data to the set-top box and the TV.

[0010] This invention proposes a remote control-based volume threshold-based volume coordination control system for televisions and set-top boxes, comprising:

[0011] One or more processors;

[0012] Memory, used to store one or more programs;

[0013] Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0014] The beneficial effects of this invention are as follows: By having the set-top box actively report the audio scene and connection method, and designing differentiated collaborative logic, one-click volume adjustment is achieved, compressing the traditional four-step operation into one step, improving operational efficiency by 75%. This greatly simplifies user operation; when Bluetooth output is separate, only the set-top box is controlled; when HDMI / AV output is synchronized, the volume of both devices is adjusted in tandem, eliminating user confusion caused by scene incompatibility and improving scene adaptability. A set-top box volume threshold (80%-90%) is set; if the threshold is not reached, the volume of both devices is adjusted simultaneously; once the threshold is reached, only the TV volume is adjusted, avoiding distortion due to excessively high set-top box volume. Batch key value sending is also used to reduce the number of key presses, balancing sound quality protection and adjustment efficiency. Furthermore, three connection solutions—Bluetooth, Star Flash, and Infrared—are provided to adapt to different cost requirements, achieving a balance between development and compatibility. Attached Figure Description

[0015] Figure 1 This is a diagram of the method described in this invention;

[0016] Figure 2 This is a diagram illustrating the system topology and interaction relationships described in this invention.

[0017] Figure 3 This is a flowchart of the system described in this invention. Detailed Implementation

[0018] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0019] One embodiment of the present invention, such as Figure 1 , Figure 2 and Figure 3 As shown, a method for coordinated volume control of a television and a set-top box based on a volume threshold using a remote control is disclosed. The method includes:

[0020] S1. Identify the connection method between the set-top box and the TV and generate connection method data; determine the audio output scene type based on the connection method data, including Bluetooth separate output scene, HDMI / AV synchronous output scene and infrared output scene; at the same time, the set-top box actively reports the current audio output scene to the remote control and generates audio output scene reporting data.

[0021] S2. Based on the data reported from the audio output scenario, the remote control executes differentiated collaborative strategies;

[0022] Meanwhile, in all scenarios, the remote control uniformly adopts a one-way protection strategy of "volume-", that is, when the user presses the "volume-" button, if the volume of any device is already at the lowest level, the remote control will no longer send a command to reduce the volume to prevent invalid operation;

[0023] S3. Based on Bluetooth scene linkage control data, HDMI / AV scene simulation control data, and infrared scene simulation control data, the remote control performs coordinated volume adjustment on the TV and set-top box, generating coordinated volume adjustment data. During the adjustment process, the remote control receives volume status information from the set-top box in real time to ensure the accuracy and efficiency of the adjustment.

[0024] S4. By coordinating volume adjustment data, the remote control predicts and evaluates the final loudness of the TV and set-top box, generating final loudness prediction data. Based on the final loudness prediction data, the remote control determines whether the current volume setting meets the user's needs. If not, it prompts the user to make further adjustments. At the same time, the remote control records the user's volume adjustment habits to provide data support for subsequent intelligent volume control.

[0025] S5. Based on the user's volume adjustment habits and the final loudness prediction data, the remote control performs intelligent volume optimization processing to generate intelligent volume optimization data. The intelligent volume optimization data includes recommended volume settings, volume adjustment trend prediction, etc. Based on the intelligent volume optimization data, the remote control automatically or prompts the user to adjust the volume, realizing "one-click loudness adjustment", solving operational redundancy and cognitive confusion, protecting sound quality, and covering mainstream connection methods. At the same time, the remote control feeds back the intelligent volume optimization data to the set-top box and TV so that the devices can perform subsequent volume control and optimization.

[0026] The working principle and effects of the above technical solution are as follows:

[0027] By automatically identifying connection methods and audio output scenarios, and coordinating adjustments with the TV and set-top box, the system reduces the need for manual switching of control modes, avoids misjudgments of device malfunctions caused by adjustments without feedback, and improves the efficiency of volume control. By setting an 80%-90% set-top box volume threshold and optimizing key value transmission logic, it reduces sound quality distortion caused by excessive volume, avoids ineffective repeated button presses, and enhances the stability of audio output. Through differentiated coordination strategies (adjusting only the set-top box in Bluetooth scenarios and coordinating adjustments in HDMI scenarios), it reduces cognitive confusion caused by inconsistent scenarios and avoids the problem of no feedback when adjusting in silent mode, improving user convenience. By adapting to mainstream connection methods such as Bluetooth / Starlight / Infrared / HDMI, some solutions do not require deep device development, reducing the cost of adapting to existing devices, avoiding compatibility limitations caused by technical barriers, and enhancing the universality of the solution. By learning user volume adjustment habits and dynamically generating personalized recommended settings, it reduces volume configurations that do not meet user preferences, avoids the waste of resources from blind adjustments, and improves the accuracy and personalization capabilities of volume control.

[0028] In one embodiment of the present invention, S1 includes:

[0029] S11. The remote control activates the built-in infrared signal scanning module, Bluetooth / StarFlash communication handshake unit, and HDMI / AV interface signal recognition unit to perform comprehensive detection of the connection link between the set-top box and the TV, and collect relevant information, including connection type (Bluetooth / StarFlash / Infrared / HDMI), signal transmission strength (such as Bluetooth RSSI value), connection stability (number of disconnections in the last 10 seconds), and generates raw connection method data.

[0030] S12. Based on the generated connection method raw data, match it using the scene mapping algorithm: if Bluetooth / Star Flash connection + HDMI / AV only transmit video is detected, it is determined to be a Bluetooth separate output scene; if HDMI / AV connection + audio and video synchronous transmission is detected, it is determined to be an HDMI / AV synchronous output scene; if only infrared signal transmission is detected + no other wireless connection is detected, it is determined to be an infrared output scene, and generate audio output scene classification results.

[0031] S13. The set-top box starts the audio output status monitoring module, collects its own audio transmission channel (such as whether the Bluetooth audio stream exists and whether the HDMI audio output is turned on) and the current volume value information in real time, performs consistency verification with the scene classification results (such as confirming that the Bluetooth audio stream is normal in the Bluetooth separation scene), and generates audio scene verification data.

[0032] S14. The set-top box encapsulates the scene verification data into audio output scene reporting data containing scene type, audio transmission status, and current volume through the current connection link (Bluetooth / Star Flash / Infrared), and actively sends it to the remote control to ensure that the scene information obtained by the remote control is consistent with the actual status of the device.

[0033] S15. The remote control opens the data receiving window, receives the audio output scene reporting data sent by the set-top box, verifies the data integrity (such as whether it contains a scene type field), and stores it in the local scene database after the verification is successful, thus completing the initialization of the audio output scene and providing basic data for the subsequent execution of the collaborative strategy.

[0034] The working principle and effects of the above technical solution are as follows:

[0035] By comprehensively detecting connection links through multiple modules, key information such as connection type, signal strength, and stability is collected, improving the comprehensiveness of connection method data and reducing information omissions caused by single detection dimensions. Scene mapping algorithms accurately match classification rules, enhancing the accuracy of audio output scene determination and reducing the risk of subsequent control deviations caused by confusion between different scenes. Two-way verification of scene information between the set-top box and remote control ensures consistency between scene data and the actual device status, reducing invalid operations caused by false scene information. Data integrity verification and local database storage provide a reliable foundation for the execution of subsequent differentiated collaborative strategies, enhancing the coherence of the control process and avoiding subsequent adjustment errors caused by initial data anomalies. The entire process achieves automatic scene initialization without manual user intervention, improving operational convenience and reducing the cognitive burden and operational errors caused by manually setting scenes.

[0036] In one embodiment of the present invention, step S14 includes:

[0037] The set-top box extracts three core fields from the audio scene verification data: scene type, audio transmission status, and current volume. It removes invalid and redundant information (such as temporary transmission logs) and generates a core dataset for scene reporting that is concise in structure and complete in key information.

[0038] According to the preset unified data protocol (such as JSON standardized format), the core dataset of scene reporting is encapsulated, a standardized identifier is added to each field (such as "scene_type" corresponding to the scene type), and a CRC32 data check code is attached to generate a structured audio output scene reporting data packet to ensure that the remote control can be parsed;

[0039] The set-top box monitors the communication status of the current connection link (Bluetooth / Star Flash / Infrared) in real time, including signal strength (Bluetooth / Star Flash must be ≥-70dBm) and the number of disconnections in the last 5 seconds (≤1 time). After confirming that the link is stable, it triggers the data transmission mechanism to avoid data loss due to link instability.

[0040] Using the currently active connection link, the structured reporting data packet is sent to the remote controller, and the sending time, data size and link type information are recorded to generate a sending status log.

[0041] The set-top box opens a 300ms reception confirmation listening window and waits for the remote control to return a data reception confirmation signal. If a confirmation signal is received, the report is considered successful. If no confirmation signal is received, it will automatically retransmit once (to avoid redundancy caused by repeated transmission), ultimately ensuring that the scene information obtained by the remote control is consistent with the actual status of the device.

[0042] The working principle and effects of the above technical solution are as follows:

[0043] By extracting core fields and eliminating redundant information, the data structure is simplified while ensuring the integrity of key information, improving data transmission efficiency and reducing the link bandwidth occupied by redundant data. The use of unified protocol encapsulation and standardized identification, coupled with CRC32 checksums, enhances data parsability and reduces the probability of remote control parsing failure. Pre-transmission detection of link signal strength and stability avoids data loss due to link instability, improving data transmission reliability. Targeted transmission and status log recording provide a basis for subsequent anomaly tracing, reducing the difficulty of troubleshooting transmission problems. Through listening for confirmation signals and a single retransmission mechanism, successful data delivery is ensured while avoiding redundancy caused by repeated transmissions, improving the consistency of scene information and reducing the risk of subsequent control deviations due to data transmission anomalies.

[0044] In one embodiment of the present invention, S2 includes:

[0045] S21. The remote control presets two types of thresholds: one is the actual volume threshold (80%-90% of the set-top box / TV volume to avoid sound quality distortion), and the other is the difference cumulative threshold (20% difference between the TV and set-top box volume to ensure loudness coordination). The threshold parameters are stored in the local control module to generate threshold benchmark data.

[0046] S22. In all scenarios, the remote control monitors the minimum volume threshold (0%-5%) of the two devices in real time: When the user presses the "Volume-" button, it first checks whether either device is in the minimum range; if it is in the minimum range, it stops sending the "Volume-" command to that device; if both devices are in the minimum range, it directly terminates the command sending to avoid invalid operation and generates "Volume-" one-way protection control data.

[0047] The working principle and effects of the above technical solution are as follows:

[0048] By presetting two thresholds—real volume and cumulative difference—the system clarifies the standards for sound quality protection and loudness coordination, reducing the risk of distortion caused by excessive volume and improving the rationality of multi-device volume coordination. For Bluetooth scenarios, volume is adjusted in stages, prioritizing adjustments for core audio devices (set-top boxes), enhancing scene adaptation accuracy and reducing auditory discomfort caused by device volume imbalances. For HDMI / AV scenarios, dynamic adjustment based on difference and early unmute avoid adjustments without feedback and misoperations, improving the effectiveness of loudness superposition and reducing user misunderstandings of device malfunctions. For infrared scenarios, the optimized transmission mechanism (command retransmission, extended waiting time) adapts to unidirectional transmission characteristics, enhancing command reception accuracy and reducing control deviations caused by signal loss. A full-scene "volume-" unidirectional protection prevents invalid operations when device volume falls below the minimum threshold, reducing user button redundancy and cognitive burden caused by lack of feedback.

[0049] In one embodiment of the present invention, S3 includes:

[0050] S31. The Bluetooth scene control data, HDMI scene control data, infrared scene control data and "volume-" protection control data generated by the remote control are sorted according to scene priority (Bluetooth / HDMI > Infrared) + device adjustment logic to generate a collaborative volume adjustment instruction set containing the target device, adjustment level and transmission sequence.

[0051] S32. Send commands according to the characteristics of the connection method: Bluetooth / Star Flash scenario uses synchronous transmission (send commands to two devices at the same time), HDMI / Infrared scenario uses time-division transmission (send commands to the low-volume device first, and then send commands to the other device after an interval of 100ms) to avoid command congestion and ensure that devices receive adjustment commands in an orderly manner.

[0052] S33. The remote control opens the two-way communication monitoring channel (Bluetooth / Star Flash scene) or the infrared feedback receiving window (infrared scene) to receive the adjusted volume value, device response status (success / failure) and current operating mode information returned by the set-top box and TV in real time. The feedback data is classified and organized to generate a volume status feedback dataset.

[0053] S34. Compare the feedback dataset with the preset adjustment target (e.g., set-top box +2 levels, TV +1 level): If the actual adjustment result deviates from the target by less than 5% (e.g., target +2 levels, actual +1.8 levels), the adjustment is deemed effective; if the deviation is ≥5%, it is marked as an adjustment anomaly and the correction process begins.

[0054] S35. For abnormal adjustment situations, analyze the cause of the deviation (such as signal loss or device response delay): if it is signal loss, resend the adjustment command; if it is device delay, extend the command sending interval and retry; until the adjustment result meets the target, generate coordinated volume adjustment data.

[0055] The working principle and effects of the above technical solution are as follows:

[0056] Control data is prioritized based on scenario and device logic to generate a structured instruction set, reducing multi-scenario instruction conflicts and improving the orderly execution of control instructions. Adapting to connection characteristics, synchronous or time-sharing transmission is selected to avoid instruction congestion, enhance the smoothness of device instruction reception, and ensure consistent adjustment actions. Real-time monitoring and categorized organization of device feedback data improves the completeness of status information, providing reliable support for subsequent adjustment validity verification. Adjustment effects are determined by comparing deviation thresholds, accurately identifying anomalies, reducing the continued impact of invalid adjustments, and improving the accuracy of volume control. Targeted analysis of anomaly causes and dynamic retry corrections reduce control failures caused by signal loss and response delays, enhancing the reliability of collaborative adjustments. The entire process forms a closed loop of instruction generation, transmission, feedback, verification, and correction, reducing redundant user button presses and minimizing cognitive confusion caused by adjustment deviations.

[0057] In one embodiment of the present invention, step S31 includes:

[0058] The remote control extracts Bluetooth scene control data, HDMI scene control data, infrared scene control data, and "volume-" protection control data from the local control module, classifies and collects them according to scene type, removes duplicate command records, and generates a complete raw control dataset.

[0059] Define clear scene priority quantification standards (Bluetooth / HDMI scene weight 1.0, infrared scene weight 0.8), define device adjustment logic priority (low volume device > high volume device, no mute device > mute device), and solidify the rule parameters as the sorting benchmark.

[0060] Based on the sorting criteria, the instructions in the original control dataset are first grouped according to the scenario priority, and then sorted according to the device adjustment logic within each group to resolve the problem of multiple device instruction conflicts in the same scenario, and generate a control queue arranged in an orderly manner according to scenario and device.

[0061] Extract the target device (TV / set-top box), adjustment level (+1 level / -1 level, etc.), and transmission timing (synchronization / time division mark) core fields of each instruction from the ordered control queue, and organize them in a structured manner according to the preset instruction format template (device ID-adjustment value-timing code) to generate an instruction structured data template;

[0062] The transmission timing in the structured data template is checked for conflicts (e.g., whether the time-division instruction interval in the HDMI scenario is ≥100ms), and timing conflicts are corrected (e.g., adjusting the transmission order of overlapping instructions). Finally, a collaborative volume adjustment instruction set containing the target device, adjustment level, and transmission timing is generated.

[0063] The working principle and effects of the above technical solution are as follows:

[0064] By classifying and aggregating control data from multiple scenarios and removing duplicate records, the integrity and purity of the original control dataset were improved, reducing execution redundancy caused by duplicate commands. Clearly quantifying the adjustment priorities of scenarios and devices and solidifying these rules as benchmarks enhanced the objectivity of the sorting logic and reduced priority confusion caused by manual settings. Resolving command conflicts by grouping by scenario and sorting by device logic improved the orderly execution of control commands and prevented the chaos of multiple device commands being triggered simultaneously. Extracting core fields and structuring them according to a unified template enhanced the standardization and identifiability of commands, reducing the difficulty of subsequent sending and parsing. Verifying and correcting sending timing conflicts ensured that command sending intervals met requirements, reducing device response anomalies caused by timing overlaps and improving the reliability of the collaborative adjustment command set, laying the foundation for smooth subsequent execution.

[0065] In one embodiment of the present invention, step S4 includes:

[0066] S41. Based on the logic of final loudness = TV volume × set-top box volume, and combined with device characteristics (such as TV speaker sensitivity and set-top box audio decoding parameters), a loudness prediction model is constructed, and the collaborative volume adjustment data (current volume values ​​of the two devices) is input into the model.

[0067] S42. Calculate the final loudness (unit: dB) actually perceived by the user through the loudness prediction model, and at the same time match the preset user comfort loudness range (40dB-60dB) to generate final loudness prediction data containing the final loudness value and the comfort range matching degree (matching / below / above).

[0068] S43. Compare the final loudness prediction data with the comfort range: If it is within the comfort range, it is determined that the user's needs are met and no prompt is required; if it is below the comfort range, a prompt message suggesting to increase the volume (current loudness is too low) is generated (displayed through the remote control display or a pop-up window on the TV); if it is above the comfort range, a prompt message suggesting to decrease the volume (to avoid damaging hearing) is generated.

[0069] S44. The remote control records the user's adjustment behavior, including the scenario type that triggers the adjustment, the initial volume before adjustment, the target volume after adjustment, the adjustment frequency (e.g., the number of adjustments within 1 minute), and the response method to prompts (execute / ignore), generating raw data of the user's volume adjustment behavior.

[0070] S45. Process the raw data of user volume adjustment behavior. The processing includes deduplication (deleting duplicate records), outlier filtering (such as extreme adjustments caused by accidental touches), and classification (archiving by scenario). The processed data is stored in the local user habit database to provide data support for subsequent intelligent volume optimization.

[0071] The working principle and effects of the above technical solution are as follows:

[0072] By combining device characteristics with volume overlay logic to construct a loudness prediction model, the accuracy of the final loudness prediction is improved, reducing the deviation between model calculation and actual user perception. Predictive data is generated by matching comfortable loudness ranges, allowing users to intuitively understand the current volume adaptation, reducing the probability of blind adjustments and enhancing the rationality of volume settings. Adjustment prompts are accurately pushed based on the matching results, avoiding issues such as excessively high volumes damaging hearing or excessively low volumes affecting the experience, improving user comfort and safety. Comprehensive recording of user adjustment behaviors and responses to prompts enriches the dimensions of raw data, providing a solid basis for subsequent intelligent optimization and strengthening the foundation for personalized adaptation. Deduplication, filtering, and classification of raw data ensure the purity of user habit data, reducing the interference of invalid data on optimization decisions and improving the reliability of subsequent intelligent volume control.

[0073] In one embodiment of the present invention, S41 includes:

[0074] Based on the fundamental logic that final loudness = TV volume × set-top box volume, the following adjustments are made using the core parameter dataset: adding a speaker sensitivity correction factor (e.g., a coefficient of 1.0 when sensitivity ≥ 85dB, otherwise 1.2), a decoding parameter compensation coefficient (e.g., adding 0.8dB for high-definition decoding), clarifying the calculation formula and boundary conditions, and generating model calculation rules;

[0075] According to the model operation rules, a three-layer model framework including a parameter input layer, a logic operation layer, and a result output layer is built to adapt to the parameter differences of different brands of equipment (parameter adjustment interface is reserved) to complete the construction of the initial loudness prediction model;

[0076] Import historical volume and loudness data (e.g., 45dB corresponds to 50% TV volume + 60% set-top box volume) and perform error calibration on the initial model: if the deviation between the predicted value and the actual value is >3dB, adjust the correction factor and compensation coefficient until the deviation is ≤3dB, and generate the calibrated loudness prediction model.

[0077] From the collaborative volume adjustment data, extract the two core input fields: the current volume value of the TV and the current volume value of the set-top box. Standardize them according to the format required by the model (integer volume level) to generate a model input dataset with a unified structure.

[0078] The standardized model input dataset is imported into the calibrated loudness prediction model through the model data interface, triggering data loading verification (checking whether the data format is compliant and whether the values ​​are within the valid range). After the verification is passed, the data input is completed, preparing for subsequent loudness calculation.

[0079] The working principle and effects of the above technical solution are as follows:

[0080] By incorporating device characteristic correction factors and decoding compensation coefficients, the model's computational rules were refined, improving its adaptability to different devices and reducing errors caused by single logical calculations. A three-layer model framework was built with reserved parameter adjustment interfaces, enhancing model compatibility and adapting to parameter differences across different brands of devices, thus reducing device compatibility limitations. Based on historical data, the error was calibrated to ≤3dB, significantly improving the accuracy of loudness prediction and reducing the deviation between predicted values ​​and actual user perception. Standardized input data processing and unified data format reduced the difficulty of model parsing and improved data loading efficiency. Verification of data format and valid range before loading prevented model malfunctions caused by invalid data, enhancing model stability and laying a reliable foundation for accurate final loudness calculation.

[0081] In one embodiment of the present invention, step S5 includes:

[0082] S51. Based on the user habit database and the final loudness prediction data, analyze user preferences through machine learning algorithms (such as decision trees) to generate personalized recommended volume combinations for different scenarios (such as recommending 60% volume for the set-top box and 30% volume for the TV in the evening Bluetooth scenario), volume adjustment trend prediction (such as users tend to increase loudness by 10% on weekends), and device threshold fine-tuning parameters (such as the actual threshold of the set-top box can be adjusted to 75%-85% according to user habits), forming intelligent volume optimization parameters;

[0083] S52. The remote control generates two optimization modes based on the intelligent volume optimization parameters: one is the automatic optimization mode (no user operation is required, and the optimized volume command is sent directly to the device), and the other is the manual confirmation mode (the recommended volume combination is displayed to the user, and the adjustment is executed after the user clicks "confirm"), to meet different user operation preferences.

[0084] S53. Perform the operation according to the optimization mode selected by the user: If automatic optimization is selected, send the optimization command directly to the TV and set-top box; if manual confirmation is selected, send the optimization command after receiving the user's confirmation command to ensure that the optimization process meets the user's wishes.

[0085] S54. After optimization and adjustment, calculate the final loudness again using the loudness prediction model and compare the result with the user's preferred loudness: if the deviation is <3%, the optimization is deemed effective; if the deviation is ≥3%, regenerate the optimization parameters and perform adjustments until they meet the user's preferences, and generate the optimization effect verification result.

[0086] S55. Update the optimization effect verification results to the user habit database, and at the same time feed back the intelligent volume optimization parameters (such as the fine-tuned threshold) to the set-top box and TV, update the local control parameters of the devices, improve the accuracy of subsequent collaborative control, form a closed loop of detection, adjustment, optimization and feedback, and finally realize one-click volume adjustment, solving the problems of operation redundancy and cognitive confusion.

[0087] The working principle and effects of the above technical solution are as follows:

[0088] By analyzing user habits and loudness data using machine learning algorithms, scenario-based recommended volume, trend prediction, and threshold fine-tuning parameters are generated, improving the personalization of volume optimization and reducing the deviation between general settings and user preferences. Two optimization modes, automatic and manual confirmation, are provided to adapt to different user operating habits, enhancing flexibility and reducing the limitations of a single mode. Adjustments are executed according to the user's selected mode, ensuring the optimization process aligns with their preferences, improving the user experience, and reducing resistance caused by passive adjustments. After optimization, the effect is verified using a loudness model; if the deviation exceeds 3%, readjustment is performed, improving the accuracy of optimization results and avoiding ineffective optimization. The verification results are updated to the habit database and fed back to device parameters, forming a complete closed loop, improving the consistency and accuracy of subsequent collaborative control, reducing operational redundancy, and completely resolving the cognitive confusion surrounding scenario adaptation.

[0089] In one embodiment of the present invention, S51 includes:

[0090] Key fields are extracted from the user habit database, including scene type, adjustment time, historical volume combination, and preferred loudness. The current loudness value and comfort zone matching degree fields are extracted from the final loudness prediction data. Invalid and redundant records are removed, and the data are integrated according to scene, time and volume dimensions to generate a standardized analysis dataset.

[0091] The core parameters for the decision tree algorithm are set as follows: scene type, time, and current loudness are used as feature variables, and the user's historical adjustment results are used as target variables. The tree depth threshold (maximum 8 layers) and the minimum number of samples for node splitting (≥10) are set, and the parameter output format (recommended value, trend coefficient, threshold range) is determined to generate the algorithm running benchmark.

[0092] The standardized analysis dataset is input into the decision tree algorithm. By classifying user scenario preference clusters (such as Bluetooth scenario at night and HDMI scenario on weekends), the algorithm predicts volume adjustment trends (such as a 5% decrease in loudness on weekday evenings) through regression analysis, and determines the device threshold adaptation range through statistical analysis, generating preliminary analysis results that include preference clusters, trend coefficients, and candidate threshold values.

[0093] Based on the preliminary analysis results, a parameter draft is generated, which includes:

[0094] Match scene preference clusters to generate personalized recommended volume combinations for different scenes (e.g., recommend 50% for set-top box and 25% for TV in a late-night infrared scene).

[0095] Combined with trend coefficients, output volume adjustment trend prediction (e.g., users tend to increase loudness by 8% during holidays).

[0096] Filter candidate threshold values, determine device threshold fine-tuning parameters (e.g., adjust the threshold to 78%-88% when using HDMI frequently), and form a draft of intelligent volume optimization parameters;

[0097] The draft parameters undergo dual verification: first, verifying whether the recommended volume combination meets the sound quality safety threshold (avoiding single device volume exceeding 90%); second, verifying whether the threshold fine-tuning parameters cover the fluctuation range of user habits (±5%), correcting unreasonable parameters (such as excessively high recommended volume), and generating calibrated intelligent volume optimization parameters.

[0098] Based on the logical structure of scenario classification, recommended volume, trend prediction, and threshold parameters, the calibrated parameters are structurally encapsulated, and an application identifier is added to each parameter (such as only applicable to Bluetooth scenarios), ultimately forming a complete and directly callable intelligent volume optimization parameter.

[0099] The working principle and effects of the above technical solution are as follows:

[0100] By extracting core fields, eliminating redundancy, and integrating data from multiple dimensions, the purity and completeness of the analysis dataset were improved, reducing interference from invalid information on algorithm analysis. The core parameters and output format of the decision tree algorithm were clearly defined, and the operating benchmark was solidified, enhancing the stability of the algorithm and reducing analytical bias caused by parameter confusion. By classifying preference clusters and using regression prediction to adjust trends, the recommended volume combinations were made more aligned with user habits, improving the accuracy of personalized adaptation and reducing the disconnect between general parameters and user needs. Double verification of sound quality safety and habit coverage was performed, correcting unreasonable parameters and reducing the risk of distortion due to excessive volume or insufficient parameter adaptation, thus enhancing the reliability of optimized parameters. Parameters were encapsulated according to logical structure and application identifiers were added, making parameter calls clearer and more convenient, reducing usage errors caused by scenario confusion, and providing a high-quality, directly callable core basis for subsequent optimization mode execution.

[0101] One embodiment of the present invention provides a remote control-based volume threshold-based volume coordination control system for a television and a set-top box, comprising:

[0102] One or more processors;

[0103] Memory, used to store one or more programs;

[0104] Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0105] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for volume co-control of a TV set and a set-top box based on a volume threshold value by a remote controller, characterized in that, The method comprises: S1: identifying the connection mode of the set-top box and the television, generating connection mode data; determining the audio output scene type according to the connection mode data, and at the same time, the set-top box actively reports the current audio output scene to the remote controller, generating audio output scene reporting data; S2: according to the audio output scene reporting data, the remote controller executes differentiated collaborative strategies; S3: the remote controller adjusts the volume of the television and the set-top box collaboratively, generating collaborative volume adjustment data; S4: through the collaborative volume adjustment data, the remote controller predicts and evaluates the final loudness of the television and the set-top box, generating final loudness prediction data; S5: according to the user volume adjustment habit and the final loudness prediction data, the remote controller performs intelligent volume optimization processing, generating intelligent volume optimization data; the remote controller automatically or prompts the user to adjust the volume according to the intelligent volume optimization data, and at the same time, the remote controller feeds back the intelligent volume optimization data to the set-top box and the television.

2. The method of claim 1, wherein the remote controller controls the volume of the TV and the set-top box in cooperation based on a volume threshold value. The S1 comprises: S11, the remote controller starts the built-in infrared signal scanning module, the Bluetooth / Star Flash communication handshake unit, the HDMI / AV interface signal identification unit, and detects the connection link between the set-top box and the television comprehensively, collects the corresponding information, and generates connection mode original data; S12, according to the generated connection mode original data, matching is performed through a scene mapping algorithm: if Bluetooth / Star Flash connection + HDMI / AV only video transmission is detected, it is determined as a Bluetooth separated output scene; if HDMI / AV connection + audio and video synchronous transmission is detected, it is determined as an HDMI / AV synchronous output scene; if only infrared signal transmission + no other wireless connection is detected, it is determined as an infrared output scene, and an audio output scene classification result is generated; S13, the set-top box starts an audio output state monitoring module, and collects the audio transmission channel and the current volume value information of the set-top box in real time, and performs consistency verification on the collected information and the scene classification result, generating audio scene verification data; S14, the set-top box encapsulates the scene verification data into audio output scene reporting data through the current connection link, and actively sends the audio output scene reporting data to the remote controller; S15, the remote controller opens a data receiving window, receives the audio output scene reporting data sent by the set-top box, verifies the data integrity, stores the data in the local scene database after the verification is passed, and completes the initialization of the audio output scene.

3. The method of claim 2, wherein the remote control cooperatively controls the volume of the television and the set-top box based on a volume threshold. The S14 comprises: The set-top box extracts the scene type, the audio transmission state, and the current volume from the audio scene verification data, removes invalid redundant information, and generates a scene reporting core data set; According to a preset unified data protocol, the scene reporting core data set is encapsulated, a standardized identifier is added to each field, and a CRC32 data check code is attached, a structured audio output scene reporting data packet is generated, and the remote controller can be parsed; The set-top box detects the communication state of the current connection link in real time, confirms that the link is stable, and triggers the data sending mechanism; Through the current effective connection link, the structured reporting data packet is sent to the remote controller, and the sending time, data size, and link type information are recorded, and a sending state log is generated; The set-top box opens a 300 ms receiving confirmation listening window, waits for a remote controller to return a data receiving confirmation signal, and determines that the reporting is successful if the confirmation signal is received, and automatically retransmits once if the confirmation signal is not received, so as to finally ensure that the scene information obtained by the remote controller is consistent with the actual state of the device.

4. The method of claim 1, wherein the remote controller controls the volume of the TV and the set-top box in cooperation based on a volume threshold value. The S2 comprises: S21, the remote controller presets two types of threshold values, that is, a real volume threshold value and a difference accumulation threshold value, stores the threshold value parameters into a local control module, and generates threshold value reference data; S22, the remote controller monitors the minimum volume threshold values of the two devices in all scenes in real time, detects whether any device is in the minimum interval when the user presses the "volume-" key, stops sending the "volume-" instruction to the device if the device is in the minimum interval, and directly terminates the instruction sending if both devices reach the minimum interval, and generates "volume-" one-way protection control data.

5. The method of claim 1, wherein the remote control cooperatively controls the volume of the television and the set-top box based on a volume threshold. The S3 comprises: S31, the remote controller generates the Bluetooth scene control data, the HDMI scene control data, the infrared scene control data and the "volume-" protection control data, sorts the data according to the scene priority + device adjustment logic, and generates a cooperative volume adjustment instruction set; S32, the remote controller sends the instruction according to the connection mode characteristics, synchronously sends the Bluetooth / Star Flash scene, and sends the HDMI / infrared scene in time sharing mode; S33, the remote controller opens a two-way communication listening channel or an infrared feedback receiving window, receives the adjusted volume value, the device response state and the current running mode information returned by the set-top box and the television in real time, classifies and arranges the feedback data, and generates a volume state feedback data set; S34, the feedback data set is compared with the preset adjustment target, the adjustment is determined to be effective if the actual adjustment result deviates from the target by less than 5%, and the adjustment is marked as abnormal if the deviation is greater than or equal to 5%, and the correction process is entered; S35, for the adjustment abnormality, the deviation reason is analyzed, the adjustment instruction is re-sent if the signal is lost, the instruction sending interval is prolonged and then re-tried if the device is delayed, and the cooperative volume adjustment data is generated until the adjustment result meets the target.

6. The method of claim 1, wherein the remote control cooperatively controls the volume of the television and the set-top box based on a volume threshold. The S4 comprises: S41, based on the final loudness = television volume × set-top box volume logic, a loudness prediction model is constructed in combination with the device characteristics, and the cooperative volume adjustment data is input into the model; S42, the final loudness perceived by the user is calculated through the loudness prediction model, and the preset user comfortable loudness interval is matched to generate final loudness prediction data; S43, the final loudness prediction data is compared with the comfortable interval, the user demand is determined to be met if the data is in the comfortable interval, no prompt is needed, prompt information for suggesting to increase the volume is generated if the data is lower than the comfortable interval, and prompt information for suggesting to reduce the volume is generated if the data is higher than the comfortable interval; S44, the remote controller records the user's adjustment behavior, and generates user volume adjustment behavior original data; S45, the user volume adjustment behavior original data is processed, and the processed data is stored into a local user habit database.

7. The method of claim 1, wherein the remote control cooperatively controls the volume of the television and the set-top box based on a volume threshold. The S5 comprises: S51, based on the user habit database and the final loudness prediction data, analyzing user preferences through a machine learning algorithm to generate personalized recommended volume combinations, volume adjustment trend predictions, and device threshold fine-tuning parameters in different scenarios, forming intelligent volume optimization parameters; S52, the remote control generates two optimization modes according to the intelligent volume optimization parameters: one is automatic optimization mode, and the other is manual confirmation mode; S53, according to the user's selected optimization mode to perform operations: if automatic optimization is selected, send optimization instructions directly to the TV and set-top box; if manual confirmation is selected, send optimization instructions after receiving user confirmation instructions; S54, after the optimization adjustment is completed, the final loudness is calculated again through the loudness prediction model, and the result is compared with the preferred loudness in the user habit: if the deviation is < 3%, the optimization is effective; if the deviation is ≥ 3%, the optimization parameters are regenerated and adjusted until the user's preferences are met, and the optimization effect verification result is generated; S55, update the optimization effect verification result to the user habit database, and feedback the intelligent volume optimization parameters to the set-top box and TV, update the local control parameters of the device, form a closed loop of detection, adjustment, optimization and feedback.

8. The method of claim 7, wherein the remote controller controls the volume of the TV and the set-top box in cooperation based on a volume threshold value. The S51 comprises: Extract key fields from the user habit database, extract current loudness value and comfort interval matching degree fields from the final loudness prediction data, eliminate invalid and redundant records, integrate by scene, time and volume dimensions, and generate standardized analysis data set; Set core parameters for decision tree algorithm to generate algorithm running benchmark; Input the standardized analysis data set into the decision tree algorithm, divide the user scene preference cluster through classification, predict the volume adjustment trend through regression analysis, determine the device threshold adaptation range through statistical analysis, and generate preliminary analysis result; Based on the preliminary analysis result, generate parameter draft; Double-check the parameter draft: one is to check whether the recommended volume combination meets the audio quality safety threshold, and the other is to check whether the threshold fine-tuning parameter covers the user habit fluctuation range, modify unreasonable parameters, and generate calibrated intelligent volume optimization parameters; According to the logical structure of scene classification, recommended volume, trend prediction and threshold parameter, the calibrated parameters are structured and packaged, an application identifier is added to each parameter, and finally the complete and directly callable intelligent volume optimization parameters are formed.

9. The method of claim 8, wherein the remote control cooperatively controls the volume of the television and the set-top box based on a volume threshold. The parameter draft generation comprises: Match scene preference clusters to generate personalized recommended volume combinations for different scenarios; Combine trend coefficients to output volume adjustment trend predictions; Screen threshold candidate values to determine device threshold fine-tuning parameters and form intelligent volume optimization parameter draft.

10. A remote controller based volume thresholding system for TV and set-top box volume co-control, characterized in that, The system comprises: One or more processors; Memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 9.

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