139 results about "Rhythm" patented technology

A VEM-Token emotion synchronization function hierarchical fusion method is different from a traditional NLP-Token method, an emotion synchronization function VEM-sync is innovated for the first time, the emotion synchronization function VEM-sync is synchronized with a VEM-Token sequence of music beats, multiple high-dimensional emotions are directly described by adopting mathematical languages, and therefore deviation of discretized natural language characters on description of a high-dimensional emotion analog quantity function is avoided, and the emotion synchronization effect is improved. The method comprises the steps of defining VEM-sync and synchronous content, defining rhythm attributes, emotion attributes and emotion functions, adopting one or combination of multi-layer weighted scanning, a recurrent neural network, a long and short-term memory network, a self-attention mechanism and an RAG network generated by retrieval enhancement, and performing hierarchical fusion calculation to output a time emotion function of a vocal music file. According to the phonetic function or the emotional function, the effects of emotional texts, emotional expressions, emotional languages and emotional multi-dimensional animations are directly driven by crossing discrete text tokens, a model context protocol (MCP) and a function calling function are supported, and copyright management and encryption and decryption or interfaces are provided.

The invention relates to the technical field of intelligent health assessment, in particular to an intelligent health assessment analysis method and system based on health management, and the method comprises the following steps: obtaining a direction conflict path in a monitoring period, tracking an offset change, positioning a synchronous bifurcation position, extracting a trend switching section and a rhythm repetition path, extending a fluctuation range, and dividing a bifurcation structure. And identifying trend starting and ending and tracking a direction trend to obtain a health state grading judgment label group. In the invention, through identifying direction conflicts and rhythm fluctuation changes in an index path, constructing a continuous track structure and extracting a trend differentiation paragraph, and combining a path continuation sequence and fluctuation rhythm distribution, rhythm tracking of state transaction and trend turning is completed. A label sequence with direction perception and rhythm identification features is generated under multi-time sequence change, the response ability of health state division to trend evolution is enhanced, and the capture ability of evaluation to potential state change and the adaptability of classification and layering are improved.

The invention relates to the technical field of motion control, in particular to a stepping motor monitoring control method and system, and the method comprises the following steps: obtaining a target and feedback signal rising edge sequence, analyzing a periodic change direction, judging a time migration trend, extracting a voltage and current response section, recognizing a disturbance time slice, and positioning high and low level boundaries. And screening signals with consistent frequency, extracting a running rhythm time sequence, and comparing a rhythm sequence to obtain a monitoring control behavior. According to the method, the time sequence of rising edges of a target and a feedback signal is compared, the displacement deviation trend is judged in combination with the periodic change direction, an interference section is identified by utilizing voltage abrupt change and current fluctuation characteristics, a control boundary is delimited according to the distribution of the interference section in high and low levels, and signal segments with consistent frequency characteristics are extracted to construct an operation rhythm. The driving behavior is extracted in combination with the signal time sequence and the rhythm sequence, the responsiveness to rhythm change is enhanced, and the problems of interference fluctuation and control rhythm disjunction caused by rhythm dislocation are relieved.

The invention relates to the technical field of neuroacoustics, in particular to a personalized brain wave induced audio generation method and system, and the method comprises the steps: S1, extracting multi-dimensional features of an input audio signal, the extracted dimensions at least comprising a time domain feature, a frequency domain feature, a pitch feature, an emotion feature and a complex feature; s2, on the basis of the multi-dimensional features extracted in the step S1, parameters of four neuroacoustic induction mechanisms are calculated in parallel; and S3, according to the features obtained in the step S1 and the quadruple mechanism parameters obtained in the step S2, signals corresponding to the four mechanisms are fused through a weight distribution strategy and a signal synthesis formula to generate a final brain wave induction audio. The method has the advantages that four mechanisms of rhythm synchronization, harmonic resonance, neural oscillation coupling and binaural beat frequency effect are fused, parameters of all the mechanisms are dynamically adjusted by analyzing music characteristics, and efficient personalized brain wave induction is achieved.

The invention relates to a low-voltage distribution line comprehensive intelligent protection method based on multi-parameter linkage, and the method comprises the following steps: collecting power distribution abnormal data, calculating a trigger interval, screening segments in a period, generating a sequential segment group, analyzing a serial number difference value to form a continuous path, recognizing rhythm abnormality, and eliminating interference flow. And a time fault is checked to construct a closed chain table, a rhythm stable closed loop structure is screened, and an intelligent protection result is output. According to the method, continuous fragments are constructed based on trigger rhythms and event numbers in abnormal data processing, path continuity is judged through difference values, effective flow directions are recognized, disturbance fragments are eliminated in combination with rhythm comparison, stable closed paths are constructed, and sequences with consistent rhythms and continuous numbers are screened to serve as a judgment basis. Accurate description of an abnormal propagation path and effective tracking of a response rhythm are realized, and identification sensitivity and protection strategy adaptability of a distribution line under multi-source interference are enhanced.

The invention belongs to the technical field of music recommendation, and provides a personalized music recommendation method, device, equipment and medium based on emotion perception, and the method comprises the steps: collecting user motion monitoring parameters and physiological state data, and carrying out the personalized motion rhythm calculation to obtain a user motion rhythm model; according to the physiological state data and a user exercise rhythm model, heart rate frequency band-beat synchronous matching and intelligent index hierarchical management are carried out, and a music index candidate pool is obtained; performing multi-scale wavelet transform decomposition on the physiological state data stream, and performing user personalized emotion perception to generate a real-time emotion sub-state; performing exercise emotion trend prediction on the user exercise rhythm model according to the real-time emotion sub-state to generate a user exercise emotion situation map; and performing multi-target music recommendation optimization processing from the music index candidate pool according to the user motion emotion situation map to obtain a recommendation result. The method has the beneficial effect that the personalized music recommendation accuracy is improved.

A vehicle ambient light music rhythm control method and system. The vehicle ambient light music rhythm control method is suitable for being implemented in a vehicle body control unit, and includes: obtaining a series of feature data of currently played music from a vehicle infotainment system, wherein each feature data corresponds to music data of a first cycle length; periodically determining a corresponding emotional color based on the series of feature data within a second time length; and determining an attribute of a vehicle ambient light based on the emotional color. The vehicle ambient light music rhythm control method and system have the advantages of low implementation cost, good ambient light music rhythm effect, etc.

The invention relates to an insomnia diagnosis and typing method based on multi-modal signal fusion, which comprises the following steps of: acquiring multi-source physiological signals of a testee during a rest period at night to construct a multi-modal information source during a sleep period; performing rhythm recognition and consistency judgment on the collected signals, calculating the rhythm change trend of each modal signal in a preset time window, and determining whether a signal fragment with physiological rhythm synchronization imbalance exists or not according to the rhythm collaboration among modals; performing inter-modal logic consistency analysis on the rhythm anomaly signal segments, identifying contradictory states of different modals in the same time window, and marking the contradictory states as modal conflict nodes; extracting an activation sequence of each modal signal according to a sequential relationship of the conflict nodes so as to determine a dominant modal of the insomnia behavior; analyzing a state transition behavior of the multi-mode signal through a sliding time window, identifying a nonlinear fracture section of a sleep state, and determining an insomnia occurrence time section and jump characteristics in combination with a mode activation sequence so as to realize insomnia diagnosis and typing judgment.

The invention discloses a classification training method and system for sound spitting speed and definition of clarinet, and relates to the technical field of clarinet training. The rhythm signal of the player is captured in real time through the high-precision audio sensor, the rhythm speed is dynamically adjusted based on the preset threshold value so as to provide self-adaptive training difficulty, and real-time monitoring data is seamlessly integrated to the intelligent feedback system for generation of a subsequent evaluation report, so that the training efficiency is improved. It is ensured that a primary trainee can establish a stable rhythm basis step by step, and human error interference is reduced; a high-precision microphone is adopted to capture playing audios in real time, key feature parameters are automatically extracted through an embedded signal processing algorithm, a training scheme is optimized in combination with historical records, and it is ensured that a player can visually recognize improvement points and improve the performance ability in complex music segments; the breath efficiency index is calculated through an embedded algorithm, and the output of the audio recording and analyzing module is combined to generate personalized breath optimization suggestions, so that the breath control precision in playing is improved.

The invention discloses an audio and video generation method and system based on a large model, and relates to the technical field of artificial intelligence audio and video processing, and the method comprises the steps: collecting multi-modal data to extract features, and employing a pre-trained GLM-4 model to output a semantic consistency score; the method comprises the steps of defining an action space and a state space, calculating comprehensive rhythm density by using a weighted average method, calculating rewards of semantic consistency scores, constructing a fractional order Markov model, solving a rhythm phase difference by using a segmented Mitiger-Leveller function, defining a piecewise function PR, and solving the slope of the piecewise function PR by using an HHO optimization algorithm. The increment action of the audio and video is calculated, and correction is carried out by using an SBS-SMO sliding mode observer; fractional order Markov modeling is used, a segmented Mitiger-Leveller function is used for solving, the action space slope is regulated and controlled through an HHO optimization algorithm, and the semantic matching degree and rhythm coordination of audio and video generation are improved.

The invention discloses a rhythm mode intelligent identification and sightsinging rhythm training system and a method thereof, and relates to the technical field of music rhythm data processing, and the method comprises the steps: collecting multi-dimensional audio data played by a user, generating physical deviation data through time sequence comparison, judging a rhythm position and a timbre attribute in combination with sound intensity and frequency spectrum data, and carrying out the intelligent identification of the rhythm mode and the sightsinging rhythm training. Calculating deviation data by using the sensing weight coefficient; identifying a core rhythm problem based on the deviation data, and generating a personalized prescription exercise song in combination with the music style preference of the user; determining whether to add interference scene data or not according to a threshold value, generating interference music segments through an algorithm composition engine, and mixing and outputting the interference music segments; the interference intensity and the rhythm density are dynamically adjusted by comparing the change of deviation data before and after the change of the simulated exercise curve. According to the invention, personalized dynamic adjustment and closed-loop optimization of rhythm training are realized, and rhythm evaluation accuracy and training effect are effectively improved.

The invention relates to a massage armchair adjusting method and device based on music signals and a medium, and belongs to the technical field of massage armchair control, and the method comprises the following steps: obtaining the music signals and performing windowing processing to obtain windowing signals; extracting a complex frequency spectrum value of the windowing signal, and obtaining a weighted energy value and a spectrum gravity center frequency of the windowing signal based on the complex frequency spectrum value; obtaining the total energy of the windowing signal based on the weighted energy value, and obtaining the rhythm intensity and the rhythm intensity change rate of the windowing signal through the total energy and the spectrum gravity center frequency; acquiring the massage frequency of the massage chair based on the rhythm intensity; and acquiring the massage intensity of the massage chair based on the rhythm intensity and the rhythm intensity change rate. The control signal is generated through rhythm intensity and change rate mapping to drive the massage frequency and intensity adjustment of the massage chair. The dynamic adjustment mechanism ensures real-time synchronization of massage actions and music rhythms, and provides highly personalized massage experience.

The application provides a robot dance automatic generation method and system based on music feature analysis, and relates to the technical field of robot control. First, a music feature spectrum covering rhythm, energy and other dimensions is constructed to convert abstract music into structured information understandable by machines, and then a dance semantic label sequence bound to a time axis is generated to provide accurate basis for action selection. By combining with a forward-looking window to predict future music features, the current and future candidate actions are filtered through a multi-objective model to realize the dual matching of action and music micro-rhythm and macro-structure. The finally generated control instruction sequence directly drives the physical robot, which breaks the dependence on video materials, realizes the automatic generation of dance with creativity and artistic expression, and improves the generation efficiency and adaptive flexibility.

The application discloses a song tone matching method and system based on audio spectrum analysis, and relates to the technical field of data processing.The method comprises the following steps: obtaining original singing audio and user audio, obtaining song sentences, obtaining first matching frequency spectrum segments corresponding to the song sentences, and obtaining second matching frequency spectrum segments corresponding to the song sentences; obtaining first frequency spectrum peak points, dividing the first matching frequency spectrum segments into first front frequency spectrum segments and first rear frequency spectrum segments, obtaining second frequency spectrum peak points, dividing the second matching frequency spectrum segments into second front frequency spectrum segments and second rear frequency spectrum segments; obtaining front frequency spectrum difference values, obtaining rear frequency spectrum difference values, and judging whether the front frequency spectrum difference values and the rear frequency spectrum difference values are smaller than a preset threshold value; if not, generating target front frequency spectrum segments and target rear frequency spectrum segments, constructing target sentence audio according to the target front frequency spectrum segments and the target rear frequency spectrum segments, and obtaining matching audio according to the target sentence audio.The application has the advantages of good song tone matching effect, rhythm deviation repair, original singing style reservation and user tone matching effect.

The invention relates to the technical field of folk songs, and discloses a digital voiceprint matching response system for folk songs, which comprises a voiceprint DNA generation module for extracting original rhythm features, original melody features and original emotional features of the folk songs through an audio signal processing technology to form voiceprint DNA data blocks, the real-time singing analysis module forms a singing feature data block according to singing audio of a modern singer, compares the singing feature data block with the voiceprint DNA data block, calculates a rhythm matching degree, a melody matching degree and an emotion matching degree, and sends calculation results to the acousto-optic reaction linkage module; and an interactive feedback strategy is implemented by carrying an acousto-optic reaction vessel in the acousto-optic reaction linkage module. The system enables the singer to visually understand the advantages and disadvantages of the singer in rhythm control, melody reduction and emotion expression, provides a multi-dimensional visual evaluation standard for the singer, and improves the evaluation accuracy of singing of the singer.

The invention discloses an AI-based multi-language adaptive recognition method, and relates to the technical field of language information processing, and the method comprises the following steps: collecting rhythm features and pause nodes in a continuous voice stream, extracting a speed change track, and generating a rhythm basic draft for representing the rhythm change trend of a voice signal in a time dimension; and performing speed change decomposition on the voice signal based on the rhythm basic draft, determining a speed increasing area and a speed slowing area, generating a time adjustment table, and recording the duration and rhythm span of each speed change section. According to the invention, through double-layer time control of a rhythm basic draft and a time adjustment table, dynamic time mapping and feature extraction continuity under speech speed change are realized; and through a dynamic rhythm adjusting mechanism, executing time extension in a speech speed increasing area, executing rhythm forward movement in a speech speed reducing area, and correcting semantic dislocation and fracture in real time, so that speech recognition keeps semantic integrity and recognition stability in a multi-language and variable-speed scene.

The invention discloses an anti-eavesdropping-based self-defined interval combination password method, which specifically comprises the following steps of: recording a time interval of adjacent keys in a password input process of a user by adopting a sliding window mechanism, and storing the time interval as a rhythm interval sequence; in the password input process, random jitter and rhythm speed scaling are applied to the rhythm interval sequence to generate a disturbed rhythm sequence; constructing a basic camouflage event comprising a camouflage sound source and a volume parameter, and randomly inserting an interference camouflage event into the basic camouflage event; combining the basic camouflage events and the interference camouflage events into an event queue, and performing sorting and anti-congestion adjustment according to a time sequence to form an interruptible camouflage event queue; and based on the camouflage event queue, playing corresponding camouflage sound according to event triggering time so as to carry out acoustic masking on a real key pressing rhythm.

The application discloses a teaching method for the characteristics of the singing tune of the Liuqin opera based on sound processing, and comprises the following steps: constructing a singing tune audio library, and marking the time axis characteristics by experts to form a first positive sample; carrying out human voice separation, band filtering and differential frame processing based on rhythm types on the sample to generate a time-spectrum graph as a third positive sample; extracting a singing tune characteristic sequence through a characteristic extraction network; finally, using the trained network to carry out multi-dimensional evaluation on the singing tune of students, calculating quantitative indexes such as overall similarity, rhythm deviation and time sequence deviation, and providing objective singing feedback and individualized correction guidance for students. The application realizes the change of the teaching of the Liuqin opera from traditional experience transmission to modern quantitative analysis, and significantly improves the teaching efficiency and precision.

The invention relates to the technical field of output regulation, in particular to a wind power plant output dynamic regulation system which comprises a wind speed trend recognition module, a rhythm fluctuation detection module, a synchronous reference screening module, a rhythm delay regulation module and an output rhythm distribution module. According to the method, trend direction inflection point statistics in a time period is introduced by constructing a wind speed change trend inversion sequence, accurate identification of a wind speed rhythm fluctuation state is realized in combination with a trend inversion frequency, an adjustment reference object is screened based on differentiation characteristics of a wind turbine generator in rhythm stability, and a unified adjustment rhythm reference is established; and forming synchronous and delay adjustment classification by analyzing the trend change difference of the non-reference unit, matching an adjustment time sequence according to a classification structure, and constructing an output change plan of each wind turbine unit, thereby realizing unified output rhythm regulation and control under the perception of a wind speed fluctuation structure. The response coordination among multiple units and the rhythm consistency of the output process are improved, and the overall output fluctuation influence of the wind power plant is effectively relieved.

The invention relates to the field of music beat training auxiliary devices, and discloses a dance music beat training device. A main platform is fixedly connected to the inner surface of a function achieving body, a limiting plate is movably connected to the inner surface of an overall displacement frame, a firing pin is welded to the outer surface of the overall displacement frame, a fixing block is welded to the position, corresponding to the middle of an impacted block, of the upper surface of the main platform, and the outer surface of the other end of the fixing block is fixedly connected to the overall displacement frame. When the device is used, the device moves up and down to adjust the swing speed of the device, then swings to the other side and can be fixed through the limiting block, and then is pulled out towards the two sides to move back and forth to adjust the position of the beat adjusting rod. And the rear equipment drives the swing block to periodically move left and right under the action of the rotating block, and the limiting plate is driven to advance by one grid through the limiting plate every time.

The present application belongs to the technical field of compressor abnormal sound detection, and particularly relates to a compressor abnormal sound detection method and system based on acoustic spectrum pattern recognition, which comprises the following steps: extracting a characteristic signal from a sound signal through wavelet packet transform and kurtosis criterion, locating the occurrence time of an impact event contained in the characteristic signal and calculating the time interval of adjacent impact events, calculating a rhythm stability index based on all time intervals in an analysis time window, intercepting a time domain signal window containing each impact event and calculating its energy envelope, calculating the intrinsic damping factor of each energy envelope according to the logarithmic difference between the energy envelope peak value and the energy value after a set time length, calculating the fault authenticity score of each impact event according to the energy value of the impact event in the characteristic signal, the rhythm stability index corresponding to the analysis time window and the intrinsic damping factor, and performing early warning determination, so as to realize high-reliability and accurate early warning of compressor early faults.

There is provided a signal processing method and a signal processing system for rhythm extraction. The method comprises acquiring, using an electrophysiological sensing device, an input signal comprising a rhythmic component and an arrhythmic component, performing a discrete wavelet decomposition of the input signal in a time-scale domain to generate a time-scale representation of the input signal, the time-scale representation comprising a plurality of wavelet coefficients each having a scale and a discrete time associated therewith, processing the plurality of wavelet coefficients to remove therefrom a plurality of arrhythmic features indicative of the arrhythmic component of the input signal, thereby obtaining a plurality of processed coefficients, reconstructing, using the plurality of processed coefficients, a rhythmic signal comprising a plurality of rhythmic features indicative of the rhythmic component of the input signal, and outputting the rhythmic signal.

1. Name of the product in this design: Multifunctional Rhythm Motion Machine. 2. Purpose of this design: For weight loss and fitness. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application provides an electroencephalogram data compression method based on data arrangement optimization, and belongs to the field of electroencephalogram data compression, and is used for solving the problem that the traditional compression method in the related art does not fully utilize the rhythm characteristics and phase synchronism of electroencephalogram data, resulting in limited compression efficiency and easy loss of key physiological characteristics. The method extracts rhythm and analyzes phase synchronism of the collected electroencephalogram data, optimizes data arrangement according to the analysis result, makes the data with strong correlation adjacent, dynamically adjusts the compression parameters to perform compression, and recovers and corrects the phase through index information during decompression. It can improve the compression rate while retaining key characteristics such as neural synchronism, and is suitable for efficient transmission and storage in multiple scenes.

The invention provides a rhythm state detection method, electronic equipment and a program product, and relates to the technical field of intelligent detection. The method comprises the following steps: acquiring multi-modal sign data representing the body pressure state of an operator on duty; performing feature extraction on the multi-modal sign data to obtain feature data corresponding to each piece of sign data in the multi-modal sign data; and according to the feature data, determining a fatigue level of the operator on duty as a rhythm state detection result of the operator on duty. Therefore, the problem that the accuracy of the body rhythm state detection result of the operator on duty is insufficient due to the single physical sign data type in the traditional body rhythm state detection mode of the operator on duty can be improved.

The application discloses a kind of account risk identification method, electronic equipment, storage medium and program product.The method comprises: obtaining the input behavior sequence generated when user interacts based on target account;Feature extraction is carried out on input behavior sequence, and current input rhythm feature vector is obtained;According to user rhythm benchmark model and input rhythm feature vector, feature deviation degree calculation is carried out, and deviation degree calculation result is obtained;According to the deviation degree calculation result corresponding to each input rhythm feature, weighted fusion processing is carried out, and rhythm abnormality score is obtained;When rhythm abnormality score is greater than preset abnormal threshold, it is determined that target account exists abnormal input behavior, and it is determined that target account exists abnormal risk.The method can solve the problem that user input behavior cannot be perceived during login process, and account risk cannot be identified in time.

The application relates to a user operation method and device by music rhythm recognition, electronic equipment and medium, and belongs to the technical field of information recognition. The method comprises the following steps: generating a demonstration melody by combination according to at least one first non-rhythm melody, a rhythm melody and at least one second non-rhythm melody arranged in sequence; generating an operation melody by combination according to the at least one first non-rhythm melody, a blank melody and the at least one second non-rhythm melody arranged in sequence, wherein the time length of the blank melody is equal to that of the rhythm melody; playing the demonstration melody and the operation melody in sequence, obtaining operation information of a blind user who imitates the rhythm melody when the blank melody is played; judging whether the operation information matches the rhythm melody, if yes, changing a parameter value of a target object; otherwise, determining that the operation information is wrong. The application has the effect that a blind user can accurately and quickly operate a target object.

The invention relates to the technical field of power system safety monitoring, in particular to an AI-based substation hidden danger prediction method and system. The method comprises the following steps: preprocessing a multi-source electrical signal to form a rhythm anomaly characteristic signal; constructing a rhythm disturbance time-frequency phase curve, dividing the rhythm disturbance time-frequency phase curve into an abnormal disturbance subspace and a load disturbance subspace by using the subspace feature splitting network, and outputting a rhythm disturbance time-frequency phase feature expression vector; constructing a rhythm phase shift diagram, using a minimum energy drift path algorithm, combining a primary equipment space layout mapping rule to invert and determine a transformer substation hidden danger source position, and outputting a hidden danger source probability vector and a rhythm disturbance space positioning result; and calculating a hidden danger risk value by using the risk evolution model and outputting a hidden danger early warning signal. According to the method, through rhythm disturbance characteristic reconstruction and graph topology energy path analysis, accurate identification of the rhythmic chronic hidden danger of the primary equipment of the transformer substation is realized.

The application provides a music rhythm atmosphere lamp control method and device, a vehicle and a medium, comprising: determining a target frequency based on currently played music; determining a target color corresponding to the target frequency according to a first preset relationship, wherein the first preset relationship comprises a preset corresponding relationship between frequency and color; judging whether the target color and a previously displayed color of the atmosphere lamp cannot appear continuously according to a second preset relationship, wherein the second preset relationship comprises a corresponding relationship between colors that cannot appear continuously; and if so, controlling the color of the atmosphere lamp to switch from the previously displayed color to a preset color. According to the characteristics of the music, the preset frequency-color corresponding relationship and the colors that cannot appear continuously are used to prevent the previously displayed color of the atmosphere lamp and the color corresponding to the current frequency from changing abruptly, so that the change of the atmosphere lamp is more comfortable, and the use experience of the user is improved.

The invention relates to a preschool education enlightenment metronome for music teaching, and the metronome is provided with a beat display part which comprises a hollow stand column, the stand column is internally provided with a sliding body and an electromagnet from top to bottom, the sliding body is vertically installed in the stand column in a sliding manner through guide blocks at two sides, and the stand column is internally connected with a first pressing sounder through a suspension coil spring. A magnet is installed in the sliding body, an electromagnet is clamped and fixed below the supporting ring through a pair of threaded rings, and the lower end of the lower supporting ring is connected with a second pressing sounder; a piston rod is coaxially fixed at the upper end of the sliding body, and a connecting rod is coaxially fixed at the lower end of the sliding body; a cross-shaped part is axially inserted into a top end opening of the stand column, and the two ends of the cross-shaped part are each provided with an elastic rubber sheet capable of expanding and deforming towards the outer side; after the electromagnet is electrified, three-gear magnetic force can be achieved, the sliding body is pushed to move upwards by different positions, different sound effects and actions are triggered, and the effect of rhythm sound and visual double experience is achieved.