503 results about "Device parameters" patented technology

The invention provides a plane layout optimization method and device based on CAD drawing automatic identification, relates to the field of plane layout optimization, and solves the technical problems that only non-overlapping constraints among equipment are considered, actual space obstacles cannot be automatically avoided, and a generated layout scheme cannot be implemented. The method comprises the following steps: extracting barrier data in a layer; and through a parameter configuration mechanism, generating an equipment parameter information structural body containing the mapping relationship between the equipment and the process. And establishing a continuous optimization model containing an IPOPT solver, and obtaining an initial layout solution containing the relative orientation of each device. And based on the relative orientation of each device in the initial layout solution, introducing an obstacle rejection constraint and a device non-overlapping constraint to construct a discrete optimization model, obtaining the center position coordinates of each device through a Gurobi solver, and integrating a dynamic adjustment mechanism and an interlayer relationship optimization mechanism. And generating a new layout map for visual output. The method and the device are used in a plane layout optimization process.

The invention provides a global adaptive power supply adjustment method and system under the condition of local load increase, and relates to the technical field of power system dispatching. The method comprises the following steps: acquiring regional power grid topology, equipment parameters and real-time operation data; historical power consumption data of classified users in recent three years are collected and preprocessed; generating a reference load curve based on real-time data and a historical rule, calculating a deviation ratio, predicting a load in future 2 hours, and outputting a risk level; the regional energy storage equipment is called to dynamically adjust the discharge power when the risk is medium or low, and the adjacent regional resources are evaluated and cross-regional line switching and power supply support are executed when the risk is high or the energy storage is insufficient. Through layered adjustment and a dynamic response mechanism, rapid identification and accurate control of sudden load increase are realized, power supply stability and resource utilization efficiency are improved, and the method is suitable for local load fluctuation response of scenes such as residential areas and industrial parks.

The invention discloses a cigarette cut tobacco batch production circulation control system and method based on single-point condition judgment, and the system comprises a work order parameter verification module which is used for receiving a work order issued by a scheduling system, and carrying out the work order information integrity verification, process parameter compliance verification and equipment suitability verification; the regular expression configuration module is used for providing a visual interface and configuring a regular judgment rule set of equipment starting conditions, ending conditions and abnormal ending conditions; and the single-point judgment execution mechanism is embedded into the PLC control layer, acquires equipment parameters in real time, dynamically evaluates regular conditions based on a finite-state machine model, and triggers an equipment start-stop instruction. According to the system, the cigarette cut tobacco batch switching time is remarkably shortened, and the work order circulation efficiency is improved; the manual intervention frequency is further reduced, and the misoperation rate is further reduced; and the problem of production interruption caused by disconnection of the equipment state and the process parameters is solved.

An electric hair cutting device including a housing having a first end and a second end opposite the first end, a bladeset mounted to the housing at the first end, the bladeset having a stationary blade and a reciprocating blade, an electric motor electrically connected to a power source within the housing, a drive shaft operatively connecting the electric motor to the reciprocating blade, a control module within the housing which controls a rotational speed of the electric motor; and a trigger which sends an actuation signal to the control module based on a partial actuation of the trigger between a minimum actuation and a maximum actuation, the control module adjusting a rotational speed of the electric motor based on the actuation signal. A related charging stand is provided that is compatible with the hair cutting device and features a digital display of device parameters.

According to the new energy Internet of Things multi-level analysis sharing platform based on digital twinning, the intelligent perception and edge access module collects data through a multi-mode sensor, and reliable data is provided for subsequent analysis through edge calculation preprocessing and hierarchical transmission. And the digital twinning construction and dynamic updating module constructs equipment-level, station-level and regional-level digital twinning models based on a Bayesian optimization algorithm to realize dynamic calibration of the models. And the multi-level analysis decision module realizes equipment fault diagnosis, generation power prediction, energy storage scheduling and power grid optimization through a four-level architecture. The digital twin mirror image regulation and control module establishes a bidirectional control channel and supports remote configuration of equipment parameters and automatic triggering of fault plans. The cross-domain data security sharing module adopts a three-layer security protection system and a federal learning mechanism to guarantee data security and sharing. According to the platform, full-process intelligent management of the new energy system is realized, and the operation efficiency and safety of the system are improved.

The invention relates to the technical field of communication, in particular to a twinborn scene two-way communication method. Collecting multi-source real-time operation data and state data of the physical entity of the equipment, and uploading the multi-source real-time operation data and the state data to the corresponding digital twin; calculating a relative deviation based on the predicted equipment parameter of the digital twin and the actual equipment parameter of the equipment physical entity; judging whether the relative deviation exceeds a preset error threshold value or not, if yes, starting difference analysis on the relative deviation, and determining a deviation root cause causing the prediction deviation; based on the deviation root cause, combining with the performance attenuation state data of the physical entity of the equipment, and generating a deviation correction coefficient through a quantitative deviation correction model; the predicted equipment parameters of the digital twin are corrected according to the correction coefficient, and corrected equipment parameters are generated; and issuing the corrected equipment parameters to a corresponding monitoring system to complete a two-way communication closed loop. According to the method, the prediction precision and accuracy of the digital twin are remarkably improved.

The embodiment of the invention provides a form generation method, device and system based on AI enhancement and a storage medium, and relates to the technical field of form generation. The method comprises the steps of generating form structure metadata according to a natural language processing technology, a reinforcement learning algorithm and / or a type security verification rule; according to the form structure metadata, the equipment sensor data and / or the user visual behavior data, the rendering priority of each field is determined; and generating a target form according to the rendering priority and the equipment parameters. By generating the form structure metadata which is reasonable in structure and conforms to the type safety specification, the automation degree and reliability of form design are improved. By fusing form structure metadata, device sensor data and user visual behavior data, a rendering strategy can reflect device characteristics and user attention distribution. The target form is generated by combining the rendering priority with the equipment parameters, so that the form layout is adaptively matched with the terminal equipment, and the loading performance and the interaction experience of the form are improved.

The invention provides a power communication resource dynamic allocation method, and relates to the technical field of power communication resource dynamic allocation, and the method comprises the steps: recognizing a power business data type, and calculating a business weight W; monitoring the quality state of each communication channel in real time and calculating the channel quality Q; monitoring service requirements or channel quality in real time, and triggering dynamic optimization when the channel quality cannot meet the service requirements; excluding businesses needing fixed resource allocation and businesses whose business weights are higher than those of the businesses triggered to be optimized this time, and enabling the rest businesses to participate in dynamic optimization; configuring network equipment parameters according to the result to execute resource allocation optimization; according to the method, the state change of the communication network can be responded in real time to adjust the resource allocation strategy, the risk of communication interruption or flash of key services due to resource optimization is effectively reduced, and finally, the utilization rate of power communication resources is guaranteed; and the reliability, the stability and the real-time performance of core service transmission such as power grid production control and operation monitoring are greatly improved.

The invention discloses a PDF engineering drawing cross-end synchronization method and system based on operation instruction serialization and a storage medium, and belongs to the technical field of cross-end engineering drawing cooperative process.The method comprises the steps that operation instructions of multiple ends on a PDF engineering drawing are captured, and operation types, target object IDs and parameters are extracted to serve as semantic metadata; constructing a dependency graph of the operation instruction based on the target object ID, and identifying a key path instruction; encoding an operation instruction and a dependency relationship into a serialized format, and only transmitting an instruction of a changed part; the receiving end analyzes the serialized instruction, detects conflicts based on semantic metadata, and executes the instruction according to the dependency relationship; and dynamically adapting the rendering result according to the equipment parameters, including coordinate system conversion and symbol mapping. Therefore, the problems of synchronization efficiency and accuracy in the prior art are solved, and the effects of multi-terminal real-time, efficient and synchronous consistency of the engineering drawing are achieved.

An accessory device includes: an antenna; a processing unit; and a memory storing a first accessory device parameter; wherein the processing unit is configured to: obtain the first accessory device parameter, obtain a first hearing device parameter received via the antenna of the accessory device, determine a first criterion value based on the first hearing device parameter and the first accessory device parameter, and perform a comparison between a received signal strength indicator and the first criterion value, the received signal strength indicator indicating or being associated with a radiated power transmitted from a hearing device and received at the accessory device; and wherein the processing unit is configured to perform a pairing action if a result of the comparison satisfies a criterion.

The invention provides a material carrying equipment control instruction generation method and device, equipment and a storage medium, and relates to the technical field of information. The method comprises the steps that material storage device parameters and material carrying equipment parameters are obtained, wherein the material storage device parameters are used for indicating specification and position information of a material storage device and material storage real-time state information; according to the parameters of the material storage device and the parameters of the material carrying equipment, a space state mapping model is constructed, and the space state mapping model is used for synchronously mapping the real-time states of the material storage device and the material carrying equipment. A material processing request initiated by a user is received, the material processing request is used for indicating the current position information, the target position information and the processing type of the to-be-processed material, and the processing type comprises storing and / or taking out. And in response to the material processing request, generating a control instruction for controlling the material handling equipment based on the spatial state mapping model.

The embodiment of the invention provides a semantic map processing method and device for cleaning equipment, electronic equipment and a storage medium, and relates to the technical field of smart home equipment, and the method comprises the steps: obtaining target data corresponding to a voice annotation instruction, the target data at least comprising coordinate information, equipment parameters and a first timestamp, then, key semantics corresponding to the voice annotation instruction can serve as semantic tags, sound source localization compensation is conducted on the first timestamp according to the coordinate information and the equipment parameters, a second timestamp is obtained, then a map is updated based on the coordinate information, the second timestamp and the semantic tags, and a first semantic map corresponding to the cleaning equipment is obtained; therefore, the cleaning equipment can quickly realize map labeling based on the voice instruction, the operation threshold of a user is reduced, meanwhile, in the labeling process, through sound source positioning compensation, alignment of the voice instruction in time and space is ensured, and the accuracy of a voice standard is improved.

The invention discloses a nut online quality control method and system based on deep learning image recognition, and belongs to the technical field of automatic sorting. The method comprises the steps that when nuts exist in a detection area, a system continuously collects first image data to generate an image sequence in a time window of the nuts from entering to leaving the detection area, a preset nut recognition model is input to obtain first target features of the nuts, and the first target features comprise qualification categories, size information and shape features; the system obtains the device parameters of the spraying device, determines the target deteriorated nuts for the unqualified nuts, calculates the predicted arrival time in combination with the first target characteristics and the device parameters, controls the spraying device to remove the target deteriorated nuts at the arrival time, and guarantees that the qualified nuts are smoothly conveyed to subsequent stations. According to the scheme, accurate positioning and regular removal of the target deteriorated nuts are achieved through image recognition in combination with time prediction, mistaken spraying and missing spraying are reduced, qualified nuts are prevented from being interfered, and the automation level of a production line and the quality stability of finished products are improved.

The invention provides a dynamic threshold adjustment method based on a self-adaptive alarm rule engine, and belongs to the field of intelligent power grids, and the method comprises the steps: collecting equipment operation data in real time by an edge node, and building a personalized threshold model; the central server initiates a model aggregation request according to a preset period, each edge node uploads a personalized threshold model parameter increment, calculates an aggregated global model parameter, adds noise to the aggregated global model parameter to obtain the global model parameter, and establishes a global model; inputting the standardized feature vector into a global model to obtain a prediction probability, and calculating a basic threshold according to the prediction probability; if the prediction probability exceeds a basic threshold value, generating a weight vector for the feature vector after standardization processing to obtain a weighted feature; calculating an anomaly degree, calculating a smoothness anomaly degree, calculating an adjustment factor, and adjusting the basic threshold value to obtain a dynamic threshold value; the invention further provides a dynamic threshold adjusting system. The problem that a traditional fixed threshold value cannot cope with equipment parameter volatility enhancement is solved.

The invention relates to the technical field of function testing, in particular to an electric energy meter correction method, electronic equipment, a storage medium and a program product, and the method comprises the steps: determining a dynamic simulation working condition based on equipment parameters; measuring precision evaluation is carried out on the to-be-calibrated electric energy meter based on the dynamic simulation working condition, and whether the to-be-calibrated electric energy meter is an abnormal electric energy meter is judged according to a measuring precision evaluation result; if yes, positioning a hidden danger function area and hidden danger function parameters of the abnormal electric energy meter based on a measurement precision evaluation result, and determining targeted dynamic compensation parameters corresponding to the abnormal electric energy meter; optimizing the abnormal electric energy meter based on the target dynamic compensation parameter to obtain a compensation electric energy meter model, and performing compensation evaluation on the compensation electric energy meter model based on the dynamic simulation working condition; and judging whether the abnormal condition of the abnormal electric energy meter is eliminated or not according to the compensation evaluation result, and if so, generating correction guidance feedback information based on the targeted dynamic compensation parameter. The correction precision of the electric energy meter can be improved.

The application discloses a kind of application four-legged robot's inspection method and system, its method when receiving current time's to be analyzed inspection data, obtain inspection database and the equipment parameter of four-legged robot, to be analyzed with the standard inspection data of inspection database preset one by one matching inspection data, if not matched standard inspection data, then the inspection image in to-be-analyzed inspection data is input into the geometric analytic model that is well trained in advance, generate obstacle data, judge whether the passing height value in obstacle data is greater than the height threshold value of preset, if passing height value is greater than height threshold value, then according to to-be-analyzed inspection data and equipment parameter construction passing analysis function, generate passing analysis value, according to the comparison result of passing analysis value and preset passing threshold, adjust the inspection path of four-legged robot. Solve the existing in the process of inspection, due to the influence of maintenance and construction and other human activities, leading to the technical problem of low accuracy of four-legged robot to obtain inspection information.

The invention provides an air conditioning unit distribution box system diagram generation method, system and device and a storage medium, and relates to the technical field of electrical design, and the method comprises the steps: creating a power distribution attribute block, a device parameter template and a model selection database of electrical elements of each functional section device, and a system diagram framework style of a distribution box of an air conditioning unit; obtaining a device parameter table of each function section device, and performing device parameter information proofreading with the device parameter template to obtain target device parameter information; assigning values to the power distribution attribute blocks according to the target equipment parameter information and the model selection database to obtain target power distribution attribute blocks; associating the target power distribution attribute block with the power distribution box according to the target equipment parameter information to obtain associated functional section equipment; and calculating current information according to the load information of the associated function section equipment, and generating a distribution box system diagram based on the current information, the target distribution attribute block and the system diagram framework style. The design efficiency and accuracy of the air conditioning unit distribution box system can be improved.

The invention discloses a power distribution device parameter setting system and method based on online learning and digital twinning, which are used for solving the problem of multi-parameter collaborative setting of a direct test loop. The system acquires operation data such as voltage, current and temperature of an actual test loop in real time through the data acquisition module; the real-time data is transmitted to the digital twinning module through the Internet of Things cloud module, the real-time data is compared with the output of the digital twinning module, and parameters are dynamically corrected by adopting a self-adaptive algorithm; the test loop parameters subjected to dimensionless processing serve as optimization variables, differential equations output by a digital twin module serve as constraint conditions, an optimization function with the purpose of minimizing the difference between the TRV characteristic parameters and the standard values is constructed, parameter optimization and simulation verification are carried out, output is carried out through a control terminal, and accurate setting of the test parameters is achieved. According to the invention, electrical, thermodynamic and electromagnetic characteristics under different test conditions can be comprehensively simulated, and the repeated debugging times and time required by a traditional method are greatly reduced.

The application discloses a network model parameter protection method based on a multi-layer key, relates to the technical field of data protection, and calculates a low-entropy page upper limit at a single moment based on device parameters and a maximum layer scale of a model, and determines a page budget balance in combination with a remaining count of a previous round; in response to a hierarchical decryption request, if the balance is sufficient, a certain amount is deducted and a one-time session key is derived in combination with a device fingerprint; then, the assigned physical page is subjected to no-information-residue verification, after the verification, the parameter ciphertext is decrypted using the session key and written, and the current low-entropy page count is increased in real time; after the page is used up, forced overwriting and clearing verification are performed, after the verification, the page budget balance is backfilled and the low-entropy page count is reduced, and the one-time session key is destroyed; finally, a digital signature is generated and stored as evidence. The application establishes a budget gating and recycling mechanism, realizes dynamic limitation of the amount of plaintext in the runtime memory, and solves the exposure risk problem caused by full-decryption of model parameters of an edge device.

The invention provides a fan speed regulation method and device.The fan speed regulation method comprises the steps that under the condition that a first fan in computing equipment breaks down, fault information of the first fan and equipment parameters of the computing equipment are obtained; based on the fault information and the equipment parameters, performing temperature prediction on the computing equipment through a temperature prediction model to obtain a predicted temperature; according to the normal temperature, the predicted temperature and the fault information of the computing equipment, the speed of the fan to be subjected to speed regulation is regulated; the fan to be subjected to speed regulation is a first fan or other fans except the first fan. Thus, the fault information and the equipment parameters are obtained, the predicted temperature is obtained through the temperature prediction model, the speed of the first fan or other fans is adjusted in combination with the normal temperature and the fault information, and accurate and effective control over the rotating speed of the fans is achieved.

The application provides a tool clamp polishing method and device based on sensor data interaction, and relates to the technical field of tool clamp polishing. The method comprises the following steps: performing basic data interaction of a tool clamp to build a standard data set, performing three-dimensional data scanning on a blank to build a three-dimensional fitting model, matching an identification center point to determine a three-dimensional contour, generating polishing size data, reading device parameters to build a control model, obtaining N control execution strategies, setting speed-quality balance data, performing strategy screening to obtain control parameters, executing polishing control of the tool clamp, performing node image acquisition of polishing, generating auxiliary control information, real-time adjustment, and completing polishing control of the tool clamp according to the adjustment result. The application solves the technical problem that the traditional polishing method mainly relies on manual operation and experience accumulation, and it is difficult to adaptively adjust polishing parameters according to real-time needs, which leads to low efficiency and errors, and cannot accurately and stably achieve the target polishing effect.

This application relates to a control method, apparatus, and television device. The method includes: obtaining the current electricity price period based on peak-valley tiered electricity price data for the user's region, and obtaining the user's household electricity consumption data; determining whether preset energy-saving conditions are met based on the current electricity price period and household electricity consumption data; when the preset energy-saving conditions are met, generating an adjustment strategy based on the preset energy-saving conditions and the television device's equipment parameter data; and controlling the television device to execute the adjustment strategy, so that the television device can reduce power consumption while maintaining continuous playback of media content. Using this application, intelligent energy-saving control linked to peak-valley tiered electricity pricing can be achieved, balancing energy saving of the television device with the viewing experience.

The embodiment of the invention discloses a video acquisition method and device, intelligent equipment and a storage medium. A portrait target in a target space is positioned and subjected to posture detection through a first camera and a microphone array of the intelligent equipment, calibration is completed in the target space through a plurality of external pan-tilt cameras, and the shooting range of each pan-tilt camera in the target space can be confirmed according to equipment parameter information. According to the embodiment of the invention, the target camera which can obtain a good picture effect by performing video acquisition on the portrait target and the target control parameters required for confirming the good picture effect are confirmed from the plurality of pan-tilt cameras, and when video shooting is performed through the plurality of pan-tilt cameras, the shooting result of the target camera under the target control parameters is directly obtained. The scheme can adapt to rich changes of the communication core person in a communication site, ensures that the communication core person is well presented to a remote user, and improves the communication experience based on the video data.

The invention discloses a rack-mounted server cabinet U-bit visual management method and system, and belongs to the technical field of communication equipment, and the method comprises the following steps: S1, based on machine room physical parameters and cabinet attributes, carrying out the structural data modeling through building a one-to-many correlation index of a machine room and a cabinet, and carrying out the one-to-many correlation index of the machine room and the cabinet; generating a visual cabinet U-bit grid base map corresponding to the physical space by adopting a vertical grid stacking algorithm; and S2, based on the cabinet U bit grid base map, user interaction operation is converted into a target U bit identifier through coordinate mapping, multi-layer verification and U bit occupation conflict detection are carried out on equipment parameters, and an association relationship between equipment and U bits is established through database transactions. According to the method, the digital grid base map accurately corresponding to the physical space is constructed, and core technologies such as coordinate mapping, multi-layer verification and database transaction operation are applied, so that the problems that traditional cabinet U bit management depends on manual planning, information abstraction is not visual and the like are solved.

Provided is a technique capable of efficiently determining the value of a device parameter to be set in each part of a sample analysis device. A device (1) for analyzing a sample by setting different values of device parameters for a plurality of constituent elements is provided with: a storage unit (41) for storing device parameter-related information indicating the relationship between the values of the device parameters and the values of prescribed evaluation items in measurement results, and information of reference values of the evaluation items; the device parameter-related information is generated on the basis of a measurement result obtained by measuring the standard sample using a measurement condition in which the values of the device parameters of the target elements among the plurality of constituent elements are different; a measurement result acquisition unit (44) that acquires a measurement result by measuring the standard sample using a measurement condition in which an initial value is set for a device parameter of the target element; and a device parameter value determination unit (46) for determining the difference between the value of the evaluation item in the acquired measurement result and the reference value, and determining the value of the device parameter of the component to which the difference is to be eliminated on the basis of the device parameter-related information.

The invention relates to the technical field of energy scheduling, and discloses an energy scheduling method and device for a micro-grid system and electronic equipment, and the method comprises the steps: determining a current working condition of the micro-grid system and an energy scheduling strategy started under the current working condition based on equipment parameters and scheduling parameters of the micro-grid system; based on the equipment parameters, analyzing and predicting the scheduling condition of each energy scheduling strategy to obtain primary scheduling information corresponding to each energy scheduling strategy; based on scheduling priorities in the scheduling parameters, performing fusion judgment on the primary scheduling information of each energy scheduling strategy to obtain target scheduling information of the micro-grid system; and performing energy scheduling on the micro-grid system based on the target scheduling information. Therefore, the scheduling information of the multiple energy scheduling strategies is fused, the multiple energy scheduling strategies can be compatible, the micro-grid system can execute the multiple energy scheduling strategies at the same time, and the energy scheduling effect of the micro-grid system is improved.

The invention discloses a security monitoring system and method based on an information technology, and relates to the technical field of security monitoring. Comprising an intelligent energy consumption adjusting unit, a battery power consumption optimizing unit and a cooperative control unit. In the aspect of energy consumption management, the intelligent energy consumption adjusting unit and the battery power consumption optimizing unit act synergistically, dynamically adjust operation parameters, transmit data according to needs and the like, energy consumption is greatly reduced, the equipment endurance is prolonged, and the operation and maintenance cost is reduced. In terms of monitoring coordination and effect, the coordination control unit realizes regional linkage, and equipment in other regions enters a high warning state during abnormality, so that the abnormality discovery and processing efficiency is improved, and a safety protection net is built firmly. In the aspect of monitoring accuracy, the activity density of people is accurately detected based on a human body infrared sensor and the like, and equipment parameters are adjusted in combination with multiple factors, so that the monitoring equipment adapts to different scenes, accurate information is provided for security, management and the like, and scientific decision making is assisted.

The invention relates to the technical field of intelligent human-computer interaction, in particular to an intelligent housekeeper-oriented multi-modal time sequence emotion perception system, which comprises a multi-modal data synchronous acquisition module, a multi-branch feature extraction network, a dynamic weight distribution module, an emotion evolution analysis module, a culture adaptation fusion layer and a hardware perception interface layer. The system integrates facial expression, voice, physiology and environment signals, and combines scene adaptive weighting, time sequence trend fitting, culture expression correction and equipment parameter adaptation to realize high-precision and robust real-time emotion recognition.

The application belongs to the field of trusted system testing, and discloses a kind of SIS trusted system booting trusted function test method and system, the application is by automatically constructing test environment and centralized configuration test case on automation test host, so that test process does not need manual setting device parameter one by one, avoid the problem of omission and inconsistency caused by manual configuration, improve the efficiency and accuracy of test preparation stage.In the application, the steps of automatically executing restart, modifying the verification object, restoring the file, etc. are performed by remotely connecting the device under test, which makes the process that originally requires manual repeated operation mechanized and repeatable, thereby reducing the risk of misoperation caused by manual intervention.In terms of trust measurement data collection, the trusted chain and measurement information are automatically sent to the test host after each start of the device under test, and the test host can obtain the complete measurement chain in a timely and systematic manner, avoiding the omission problem that may occur when manually comparing logs and PCR values.

This application discloses a data transmission method, apparatus, chip, and storage medium. The method includes: acquiring encoding parameters, device parameters, and network parameters associated with the data transmission of streaming media, wherein the encoding parameters include frame rate, bitrate, and resolution; determining the Quality of Experience (QoE) associated with the streaming media based on the encoding parameters, device parameters, and network parameters; determining estimated parameters based on the QoE associated with the streaming media; and adjusting the encoding parameters according to the estimated parameters. The method of this application, based on a comprehensive evaluation of encoding parameters, device parameters, and network parameters, can achieve a more comprehensive and accurate assessment of QoE. Furthermore, by establishing a closed loop between QoE evaluation and data transmission, and adjusting the encoding parameters based on QoE, dynamic and adaptive optimization of QoE can be achieved when the frame rate or network environment changes, which is beneficial for providing users with a better viewing experience.