CN-121078368-B - Intelligent earphone running state analysis control system based on Internet

CN121078368BCN 121078368 BCN121078368 BCN 121078368BCN-121078368-B

Abstract

The invention discloses an intelligent earphone running state analysis control system based on the Internet, which relates to the technical field of earphone running state monitoring and comprises a state acquisition module, a state analysis module and a state analysis module, wherein the state acquisition module is used for acquiring electric quantity change data of an earphone and temperature data of a plurality of heating subareas, and correcting the temperature data based on double baselines of external environment temperature and skin temperature when the earphone is in a wearing state, so as to generate corrected temperature data of each subarea; the state acquisition module synchronizes the corrected temperature data and the electric quantity change data, constructs a temperature curve and an electric quantity attenuation curve, packages the temperature curve and the electric quantity attenuation curve into operation curve data according to time stamps, and transmits the operation curve data to the task association module. According to the invention, the temperature acquisition units are distributed in a plurality of heating subareas of the earphone, and the charge state change information is acquired by combining the electric quantity monitoring chip, so that the temperature and electric quantity hyperbolic curve data under a unified time axis are constructed, and the deep modeling of the running state is realized.

Inventors

ZHENG XIAOXIA
ZHENG QUNXIONG

Assignees

深圳市鑫科美达通讯有限公司

Dates

Publication Date: 20260505
Application Date: 20250916

Claims (7)

1. An intelligent earphone running state analysis control system based on internet, which is characterized by comprising: The state acquisition module is used for acquiring electric quantity change data of the earphone and temperature data of a plurality of heating subareas, correcting the temperature data based on double base lines of external environment temperature and skin temperature when the earphone is in a wearing state, and generating corrected temperature data of each subarea; The state acquisition module synchronizes the corrected temperature data and the electric quantity change data, constructs a temperature curve and an electric quantity attenuation curve, packages the temperature curve and the electric quantity attenuation curve into operation curve data according to a time stamp, and transmits the operation curve data to the task association module; The task association module is used for acquiring the task type of the current earphone and uploading the operation curve data to the cloud end so as to construct a task mapping library based on the history operation curve data by the cloud end, generating a corresponding power distribution strategy when the earphone enters the corresponding task type, and transmitting the power distribution strategy to the earphone end; The state judging module is used for executing filtering and cross-correlation analysis on the temperature curve and the electric quantity attenuation curve, judging the change of lag time, and identifying abnormal heat dissipation degradation or load burst by combining the temperature rise rate and the electric quantity attenuation rate; and the cooperative control module receives the abnormal information, sends a broadcast to the binding terminal, and executes cooperative load reduction operation to reduce the heat load and the energy consumption.
2. The intelligent earphone operation state analysis control system based on the internet according to claim 1, wherein the working method of the state judgment module comprises the following steps: calculating the cross-correlation function of the two curves in a fixed time window to obtain a maximum peak value and corresponding lag time; And calculating a sliding average value of the lag time in a continuous fixed time window, and when the lag time is continuously increased or continuously reduced and exceeds a preset continuous threshold value, and the temperature change rate of each heating partition temperature curve and the electric quantity decay rate of the electric quantity decay curve exceed corresponding preset threshold values and continuously exceed delay tolerance time, judging that the earphone is in an abnormal operation mode, and distinguishing the abnormal operation mode according to the change direction of the lag time.
3. The intelligent earphone running state analysis control system based on the internet according to claim 2, wherein during the execution of the cooperative load reduction operation, the cooperative control module feeds back the cooperative load reduction execution result to the state acquisition module, so that the state acquisition module records the temperature rise change and the electric quantity attenuation change before and after load reduction when the subsequent running curve data are generated, and the temperature rise change and the electric quantity attenuation change are updated by the task mapping library.
4. The intelligent earphone running state analysis control system based on the internet according to claim 1, wherein the state acquisition module acquires temperature data of each heating partition and simultaneously determines whether the earphone is in a wearing state in real time; When the state of wearing is judged, the temperature data of each heating partition collected in the state is marked as the environmental temperature baseline data, the direct participation of the part of data in the generating process of the temperature curve of each heating partition is removed, and the part of data is only used as an external environmental temperature reference to participate in the correction operation of the temperature data in the wearing state.
5. The internet-based intelligent earphone running state analysis control system according to claim 1, wherein the task mapping library performs personalized adjustment on heat sensitivity thresholds of each task type based on user history running curve data; The heat sensitivity threshold comprises a temperature change rate threshold, an electric quantity decay rate threshold and a delay tolerance time; The task mapping library constructs a rolling observation window according to the user and task types at the cloud, counts the temperature and electric quantity indexes, calculates the duty ratio of the overthreshold accumulated time length, respectively downwards or upwards adjusts the heat sensitivity threshold when the duty ratio is continuously higher or lower than the preset proportion threshold, and uses the updating result to generate a power distribution strategy to be issued to the earphone end.
6. The intelligent earphone running state analysis control system based on the internet according to claim 1, wherein the cloud end respectively counts the change interval, the change trend, the extreme value position and the stable interval of the heating partition temperature change rate and the electric quantity attenuation rate of a plurality of earphone devices under different task types in the whole task process based on historical running curve data in the process of constructing a task mapping library; according to each type of task type, the cloud counts the standard behavior interval of each heating partition temperature curve and electric quantity attenuation curve corresponding to the task type in a normal operation mode, and establishes an operation curve behavior boundary parameter set bound with the task type; the cloud combines the task type and the operation curve behavior boundary parameter set to respectively generate a corresponding temperature rise rate threshold and an electric quantity attenuation rate threshold, and sets a hysteresis change sensitivity factor and a task duration correction coefficient for the threshold; the specific temperature rise rate threshold value and the specific electric quantity decay rate threshold value parameter set of the task type are dynamically issued to the earphone end and serve as comparison standards for state judgment executed by the state judgment module; The state judging module automatically loads a threshold parameter set corresponding to the task type when the task type is switched, and judges the temperature rise rate and the electric quantity attenuation rate based on the threshold parameter set.
7. The intelligent earphone running state analysis control system based on the internet according to claim 1, wherein the system constructs a plurality of temperature threshold point sets for identifying a temperature rise stage according to the thermal behavior characteristics of the earphone in the working process, and the temperature threshold points are arranged in a temperature rise sequence; The system collects corrected temperature data of each heating partition after correction, and judges the temperature rising stage of the current temperature based on the constructed temperature threshold point set; When the corrected temperature data reaches or crosses a certain temperature threshold point, the system calls a preset scale factor according to a temperature rising stage corresponding to the threshold point, and further corrects the corrected temperature data in the stage in proportion.

Description

Intelligent earphone running state analysis control system based on Internet Technical Field The invention relates to the technical field of earphone running state monitoring, in particular to an intelligent earphone running state analysis control system based on the Internet. Background In the context of rapid development of mobile intelligent terminals, intelligent headphones have gradually evolved from traditional audio playback devices to intelligent devices with multifunctional integration capabilities, and typical applications thereof include voice calls, voice assistant interactions, noise reduction mode control, music playback, game sound enhancement, and the like; along with the increase of function types and processing complexity, the earphone has obvious temperature rise phenomenon in the continuous operation process, and particularly in long-time wearing or high-power consumption tasks, discomfort of a user or equipment performance fluctuation are easily caused; In the prior art, a separated data acquisition and control strategy is generally adopted for monitoring the temperature change and the electric quantity change of the earphone, namely, temperature and electric quantity data are respectively recorded, and a protection mechanism is triggered according to a preset threshold value, so that the method has certain practicability in a conventional use scene, and can provide primary identification and processing basis for abnormal heating or rapid electric quantity reduction; With the enhancement of computing capacity and communication capacity, more intelligent headphones are provided with conditions of interaction with a cloud and cooperative control with other terminal equipment, finer state analysis and energy efficiency optimization can be achieved by means of the data processing capacity of the cloud and linkage potential of multiple equipment, on the basis, how to conduct fusion analysis on multi-partition temperature data and electric quantity change processes inside the headphones, fine abnormal trends of running states of the headphones are identified, and cross-equipment cooperative control is achieved through an Internet mechanism, so that the intelligent headphones become one of research directions with prospective significance in intelligent development of the existing headphones, and therefore the intelligent headphones running state analysis control system based on the Internet is provided. Disclosure of Invention The invention aims to provide an intelligent earphone running state analysis control system based on the Internet, which solves the problems in the background technology. The intelligent earphone running state analysis control system based on the Internet comprises a state acquisition module, a task association module, a state judgment module and a cooperative control module; the state acquisition module is used for respectively acquiring temperature data of each heating subarea in a plurality of heating subareas in the earphone and acquiring electric quantity change data of the residual electric quantity of the earphone by combining an electric quantity monitoring chip; when the earphone is in a wearing state, the state acquisition module corrects the temperature data of each heating zone based on the double baselines of the external environment temperature and the skin contact temperature of the earphone to obtain corrected temperature data of each heating zone; After correction is completed, synchronizing correction temperature data of each heating partition with electric quantity change data of a corresponding time period, constructing a smooth and breakpoint-retaining temperature curve of each heating partition for each partition, generating an electric quantity attenuation curve after standing, self-correcting and monotonicity constraint on a state of charge percentage sample in a discharging state, packaging the two types of curves into operation curve data according to a uniform timestamp, and transmitting the operation curve data to a task association module; The task association module is used for receiving the operation curve data, acquiring a task type currently executed by the earphone, binding the operation curve data with the task type, and transmitting the operation curve data to the cloud end through the Internet; The cloud end establishes a task mapping library based on historical operation curve data of the multi-earphone under different task types, wherein the task mapping library is used for representing temperature rise characteristics and electric quantity consumption characteristics under different task types; When the earphone enters a specific task type, the task mapping library generates a power allocation strategy of the task and transmits the power allocation strategy to the earphone end, so that the state judgment module can carry out state judgment by combining the power allocation strategy during the execution of the task; The state judgi