232results about How to "Realize adaptive adjustment" patented technology

A self-adaptive control method of an aircraft wing and the aircraft wing wherein the self-adaptive control method comprises: constructing a prediction model, inputting a real-time external aerodynamic disturbance parameter to the prediction model, predicting a predicted disturbance error at a next moment, and realizing feedforward prediction compensation of external aerodynamic disturbance. The influence of predictable disturbance on the airfoil profile is eliminated in advance; and then monitoring the airfoil pose to obtain tracking airfoil parameters, and carrying out deviation calculation on the tracking airfoil parameters and the target airfoil parameters to obtain an actual tracking error so as to provide a real-time airfoil pose feedback signal. And finally, the control assembly generates a control instruction based on the predicted disturbance error, the actual tracking error and the target airfoil profile parameter, the control instruction acts on the mechanical neural network to realize adaptive adjustment of the airfoil profile, and the airfoil profile continuously approaches the target airfoil profile neighborhood through a feedforward and feedback composite control mechanism.

The invention discloses a self-adaptive multi-level forged voice detection method based on a belief propagation mechanism. The method comprises the following steps: performing feature extraction on voice to be detected to obtain an initial feature vector; reasoning the initial feature vector by using a lightweight model to obtain an initial confidence coefficient representing the voice forgery possibility; based on a low-confidence threshold value and a high-confidence threshold value which are determined through performance optimization, performing multi-level discrimination on the input voice and screening difficult samples; generating expert feature vectors for the difficult samples by adopting a depth feature extraction network regulated and controlled by the initial confidence coefficient; constructing a query vector based on the initial confidence, and fusing expert features through an attention mechanism; and voice authenticity determination is completed according to the fusion features. The initial confidence is used as the cross-stage control quantity, so that the self-adaptive adjustment of the detection process is realized, and the average reasoning delay is reduced while the detection accuracy is ensured.

The application relates to the technical field of data processing, and discloses a data security weight-based dynamic adjustment data trusted space permission control method. The method comprises the following steps: constructing a correlation permission matrix; assigning a basic security weight value to a data object, assigning a credit basic value to a data account, coupling the basic security weight value and the credit basic value to obtain a data security weight value; monitoring the attribute change of the data object and the behavior characteristic change of the data account in real time, updating the data security weight value to obtain an updated permission matrix; receiving an operation request, calling a north-south control permission, and checking the access permission of a target data object; when the north-south control permission is checked, the real-time security weight value is obtained, the east-west control permission in the updated permission matrix is matched, and the target operation permission is confirmed; after the target operation permission is confirmed, an operation record is generated, and the behavior characteristic is updated; and the application can improve the efficiency of dynamically adjusting the data trusted space permission control.

The invention provides a contract content extraction and integration method and system and a storage medium, and the method comprises the steps: obtaining a contract file uploaded by a user through an OA system, recognizing the context features of the contract file, and dynamically triggering an analysis strategy adaptive to the contract file based on the context features; performing content extraction on the contract file by using an analysis strategy to generate a preliminary analysis result containing core content and risk reminding; obtaining the complexity of the contract file and the confidence coefficient of the initial analysis result, and determining an auditing path of the initial analysis result based on the complexity and the confidence coefficient; and auditing the preliminary analysis result by using the auditing path to generate auditing feedback information, and correcting the preliminary analysis result in real time based on the auditing feedback information to generate an optimized analysis result. According to the method and the device, intelligent and dynamic analysis and auditing guidance of the contract file can be realized in an OA system environment, the efficiency and the accuracy of contract auditing are effectively improved, and adaptive adjustment of an analysis strategy and an auditing path is realized.

The invention provides a numerical control machine tool control method and system based on real-time machining data feedback, and relates to the technical field of machine tool control. Predicting control quality based on the multi-source data to obtain predicted quality; generating an online control constraint according to the predicted quality and the machine tool safety boundary; under the online control constraint, solving optimization is carried out by taking the machining cycle, the tool wear increment and the instantaneous power as targets, and target control parameters are obtained; and issuing and executing the target control parameters, executing parameter rollback when abnormal out-of-limit is detected, and performing incremental updating on the predictive control quality process by taking a rollback result as feedback. The technical problem that in the prior art, the control quality of a numerical control machine tool is poor can be solved, and the technical effect of improving the control quality of the numerical control machine tool is achieved.

This invention discloses a multi-level context compression method and system, belonging to the field of information processing technology. Before performing multi-level compression, the method first performs semantic pre-screening, using a lightweight embedding model to evaluate the information entropy and semantic importance of messages, achieving context-aware dynamic budget allocation. Then, it performs multi-level compression sequentially: the first level is content budget control, which enforces an upper limit on the aggregated content size of each message before lightweight compression; the second level is fragment compression, selectively removing historical content with feature gating; the third level is lightweight compression, performing lightweight content compression and supporting delayed boundary message processing; the fourth level is context folding, performing fine-grained selective compression based on the dialogue state graph, retaining key decision nodes; and the fifth level is complete summarization, performing a complete content summary when resource usage exceeds a threshold. This invention also introduces reinforcement learning optimization, dynamically adjusting the compression strategy based on task completion rate feedback. This invention achieves a strategy that prioritizes fine-grained compression over coarse-grained summarization, differential compression based on semantic importance, topological compression based on graph structures, and adaptive strategy optimization.

The invention relates to the technical field of multi-source data processing, in particular to a multi-source data coupling system and method, and the method comprises the steps: obtaining original monitoring data of a target region from a plurality of data sources, carrying out the quality evaluation of the data of each data source, and generating a quality score; establishing a data source contribution degree dynamic weight distribution model by combining geological activity stage parameters, calculating a real-time dynamic contribution weight of each data source, and performing weighted fusion on original data; introducing geological priori knowledge to perform adaptive feature screening on the fused data, retaining key features, and performing collaborative analysis on the key features and the geological priori knowledge to obtain a geological state coupling result; and constructing a closed-loop optimization mechanism, calibrating a data quality score by using a coupling result, and updating a weight model for fusion in the next period. The method can adapt to dynamic changes of geological activities, improve reliability of fused data, realize adaptive coupling optimization of multi-source monitoring data, and adapt to complex geological monitoring scenes.

The invention provides a control method of an electric toothbrush and a related device, the driving signal of the electric toothbrush can be determined through a high-frequency vibration signal and a low-frequency sweeping signal, the driving signal is used for driving the electric toothbrush to carry out sweeping vibration motion, and the current operation state of the electric toothbrush in the sweeping vibration motion process is obtained in real time. And adjusting a driving signal of the electric toothbrush based on the current operation state and a preset target operation state so as to adjust the sweeping vibration motion of the electric toothbrush. Therefore, a closed-loop control mechanism can be adopted to accurately reflect the change of the electric toothbrush in the current operation state in a driving signal, and dynamic self-adaptive adjustment is realized, so that the electric toothbrush can adjust the sweeping vibration movement in combination with the actual cleaning requirement and the actual use working condition and accurately follow the target output; therefore, the control precision of the electric toothbrush can be improved, the cleaning effect can be improved, and personalized use requirements can be met.

The application discloses a permanent magnet synchronous motor rotating speed ring control method and device, medium and equipment, relates to the permanent magnet synchronous motor control technical field.The application first realizes accurate real-time estimation on the load torque by using a supercoil sliding mode load observer, then on-line self-adapting adjustment of the sliding mode controller parameters is realized according to the real-time rotating speed and load torque working condition based on a pre-trained neural network model, and finally the rotating speed is accurately controlled through the sliding mode controller after parameter adjustment.The application effectively solves the influence of load disturbance on the system performance, realizes self-adapting adjustment of the sliding mode controller parameters based on the working condition through the neural network model learning of the applicable relationship between the real-time rotating speed and load torque working condition and the sliding mode controller parameters, overcomes the defects that the traditional sliding mode control parameters are difficult to set, and significantly improves the rotating speed tracking precision, dynamic response speed and overall stability of the system of the permanent magnet synchronous motor under complex working conditions.

The application discloses an intelligent imaging generation system and method, which realizes closed-loop control of spraying quality by real-time linkage adjustment of spraying mechanical arm and imaging equipment parameters through a dynamic parameter adjustment module, and combines a defect prediction and optimization decision module and a multi-modal process knowledge base. The system integrates a high-resolution visual sensor, a capacitive thickness detector and a temperature and humidity sensor, fuses multi-source data by using a Kalman filtering algorithm, and dynamically adjusts the speed of the mechanical arm, the nozzle pressure and the imaging gain coefficient. The defect prediction module simulates coating defect morphology based on a physically constrained generative adversarial network and generates a process optimization instruction set through reinforcement learning. The multi-modal process knowledge base stores an associated model of material characteristics, environmental data and defect patterns, supports incremental learning and historical data decay update. Through dynamic parameter collaborative optimization, defect prediction prepositioning and multi-modal data fusion, the spraying quality detection efficiency and coating consistency are improved, and the rework rate is reduced.

This utility model provides a multi-scene adaptive intelligent light guide LED lamp, relating to the field of intelligent light guide LED lamp technology. It includes a mounting plate with a control mechanism on its outer side. The control mechanism includes two fixed brackets, one side of which is fixedly connected to the other side of the mounting plate. A human body sensor is fixedly connected to the bottom of one bracket, and a sound sensor is fixedly connected to the bottom of the other bracket. This multi-scene adaptive intelligent light guide LED lamp, with its human body sensor and sound sensor, effectively solves the problem of existing light guide LED lamps not being able to adaptively adjust to different scenarios. The human body sensor can detect the approach or departure of a person, and the sound sensor can react to ambient sound. Both sensors transmit the collected information to the controller. When human activity or a sound environment is detected, the controller can intelligently adjust the lamp according to a preset program.

The utility model relates to welding equipment technical field, concretely relates to a kind of intelligent gantry submerged arc automatic welding machine, it includes: piece platform, top is equipped with multiple piece grooves along length direction, and both sides are equipped with machine tool track respectively;Welding machine tool, welding machine tool is transversely placed above piece platform, and two ends are respectively equipped with with machine tool track cooperation walking mechanism, welding machine tool top is respectively equipped with welding machine power supply corresponding each piece groove;Movable crossbeam, movable crossbeam is horizontally arranged in welding machine tool middle part, and movable crossbeam is equipped with with each piece groove corresponding cross slide;Telescopic arm, respectively with each cross slide corresponding each cross slide connection, bottom end is respectively equipped with welding torch, welding torch is connected with corresponding welding machine power supply;Controller, controller is set in one side of welding machine tool, and walking mechanism, telescopic arm, welding machine power supply and welding torch are respectively electrically connected with controller.The utility model is integrated, and automation design has significantly improved the efficiency and quality of I-shaped steel structure welding.

The invention relates to the technical field of vehicle lighting, in particular to an electric vehicle photoinduction self-adaptive headlight system which comprises a deceleration state recognition module, an illumination trend judgment module, a charge state division module, a lighting power setting module and an output control execution module. According to the method, a deceleration state identification result is established by synchronously analyzing a current change direction and a brake signal state, a continuous sampling illuminance change rate is introduced to construct a trend judgment index, a low-illuminance approaching trend is judged in combination with an illumination decline intensity and a continuous period, and then the real-time charge state of a battery is collected and affiliated to a grading label; a target output power and an adjusting rhythm are set by matching a power regulation and control strategy, a linearly or non-linearly increasing lightening power sequence is set under different electric quantity conditions, a power control result is converted into a PWM instruction to be dynamically output to a headlight driving circuit, and self-adaptive adjustment of the brightness of the headlight of the electric vehicle under the conditions of illumination decreasing and electric quantity changing is achieved.

The application discloses an automatic replacement system of color photovoltaic adhesive film, and particularly relates to the photovoltaic power station operation and maintenance technical field, comprising a sensing and detecting module, a decision control module, an execution operation module, a material processing and supply module and a safety auxiliary module; the sensing and detecting module is used for acquiring the position, contour and surface state data of the photovoltaic module; the application constructs a three-dimensional grid model of the module through the decision control module, realizes intelligent scoring and global path optimization of the work unit based on a rule base, and generates an optimal work sequence; through adaptive process parameter adjustment in the execution operation module, the hot air power and the winding tension are dynamically adjusted according to the surface color, temperature and defect characteristics of the module, so that the old adhesive film peeling quality and the new adhesive film laying precision are significantly improved; the whole-process automation from detection, decision, execution to quality review is realized, the replacement efficiency and quality consistency are effectively improved, and the work safety is ensured.

The invention relates to the technical field of drill bits, in particular to an auger bit with a cutter handle lengthening structure, which comprises a drilling machine, a mounting head is rotatably connected to the drilling machine, a lengthening cutter handle is mounted on the mounting head, a fixing ring is sleeved on the drilling machine, fixing rods are fixedly connected to two sides of the fixing ring, and the cutter handle lengthening structure is mounted on the fixing rod. According to the device, a to-be-drilled area is pre-blown and cleaned through the air blowing piece, the multi-section telescopic rod and the spray head, the drilling centering precision of the twist drill is guaranteed, the blowing state of the spray head can be automatically switched along with drilling operation, chippings generated during drilling are laterally blown away, the drilling efficiency is improved, and the drilling efficiency is improved. And meanwhile, through linkage of a rack, a gear and other mechanisms, a large hole replaces a small hole to be communicated with the channel, self-adaptive adjustment of air outlet intensity increase during drilling deepening is achieved, the cutter burning and chip blocking faults caused by chip accumulation are effectively avoided, and the requirements for reinforced chip removal and cooling under the deep hole working condition are met.

The invention relates to the technical field of electric power inspection and maintenance robot control, and discloses a power transmission line crawling robot lifting self-adaptive shake suppression control method and system. The method comprises the following steps: acquiring three-axis acceleration and three-axis angular velocity data of a robot platform, calculating a yaw angle and an angular velocity of the robot platform relative to a vertical balance position, and constructing an evaluation index representing the shaking strength of the platform; according to the shake strength evaluation index, driving parameters of a lifting motor are dynamically adjusted through a nonlinear mapping relation; and the swing period and phase of the robot platform are monitored, and when the platform swings to a specific phase point, an instantaneous driving pulse is applied to a lifting motor to consume swing energy. By means of the method, the maximum swing angle of the robot platform can be reduced by 60% or above, the static time after the robot platform reaches the target position is shortened by 70% or above, and the working efficiency is remarkably improved.

This utility model provides an adjustable-angle rain lintel and carbon dioxide adsorption box, relating to carbon dioxide adsorption equipment. The rain lintel includes: a mesh plate having multiple continuous air inlet zones; multiple rain lintel units, each rain lintel unit including multiple stacked baffles and a first connecting rod, each baffle being rotatably connected to the mesh plate at the end near the air inlet zone and rotatably connected to the first connecting rod at the end away from the air inlet zone, forming an air inlet channel between adjacent baffles; and a linear drive mechanism for driving the first connecting rod of each rain lintel unit to move, thereby rotating the baffles of each rain lintel unit. The beneficial effects of this utility model are: under conditions of no sandstorms and no rainfall, airflow with a set direction is delivered to the mesh plate through the air inlet channel, meeting the airflow requirements for gas adsorption operations on the outlet side of the mesh plate; under severe conditions of sandstorms or rainfall, completely blocking the air inlet side of the mesh plate can effectively prevent sandstorms and rainwater from entering the interior.

The invention provides an active learning optimization control method and system for a tire half-part composite extrusion process, and the method comprises the steps: collecting batch-level production operation data in the production process of a composite extruder, carrying out the preprocessing, and building a double-layer prediction model based on the preprocessed production operation data; in the batch operation process, the optimal control input variable of the production technology process is obtained through rolling optimization calculation based on the double-layer prediction model; meanwhile, strategy dynamic optimization is carried out according to a trend analysis result, and a final control input variable is generated and acts on the production process of the composite extruder; and after each batch of operation is completed, calculating an error index between the prediction output and the actual output of the double-layer prediction model, and carrying out online updating on the double-layer prediction model based on the error index. According to the invention, the automation level of the production process and the product quality consistency can be improved.

This invention relates to the field of wastewater treatment technology, and discloses a wastewater treatment device and method based on resin materials. The method includes: calculating a cumulative load coefficient based on influent flow rate, influent pollutant concentration, effluent pollutant concentration, and the last regeneration end time; calculating a regenerant strength coefficient based on regenerant temperature and concentration; calculating a synergy coefficient based on the cumulative load coefficient, regenerant strength coefficient, the rate of change in pollutant concentration at the regenerated waste liquid outlet, and pH value; calculating a bed health status coefficient based on the resin bed saturation gradient and bed pressure drop; and finally determining and adjusting a target regenerant flow rate based on the baseline regenerant flow rate, synergy coefficient, and bed health status coefficient. The device includes at least two parallel cylindrical pressure vessels, a memory, and a processor, with the processor executing the above method steps. This invention achieves dynamic optimization control of the resin regeneration process, improves regeneration efficiency, and extends the resin's service life.

This invention provides an imidacloprid recrystallization refining and purification device, belonging to the technical field of purification devices. It includes a mixing chamber inner liner, with a mixing chamber outer shell fixedly installed outside the inner liner. The inner wall of the mixing chamber outer shell and the outer wall of the mixing chamber inner liner enclose a sealed heating chamber. A crystallization chamber inner liner is provided on the side of the mixing chamber outer shell, and a cooling crystallization tube is provided inside the crystallization chamber inner liner. An adaptive disturbance mechanism is provided inside the crystallization chamber inner liner. This adaptive disturbance mechanism can adjust the disturbance amplitude of the imidacloprid solution according to its crystallization degree. In this invention, by providing an adaptive disturbance mechanism, core components such as a float, a swinging linkage, a telescopic rod, and a stirring plate are integrated. The float senses the density change of the imidacloprid solution in real time at each crystallization stage, generates corresponding buoyancy based on the density, and achieves lifting and lowering. This, in turn, links the swinging linkage to swing around the slider on the limiting post, driving the telescopic rod to extend and retract radially along the sealed tube, ultimately achieving adaptive adjustment of the disturbance amplitude of the stirring plate.

The invention relates to the technical field of pressure drop adjustment, in particular to a shelf calandria refrigerant pressure drop self-adaptive adjustment method and system, and the method comprises the steps: determining a plurality of target calandria groups based on a shelf calandria; executing the following operations on each target calandria group in the plurality of target calandria groups: determining a target pressure drop range based on the target calandria group; acquiring an initial pressure monitoring value set group based on the pressure monitoring unit and a target calandria group; acquiring an actual pressure drop based on the pressure difference analysis unit and the initial pressure monitoring value set group; a pre-built refrigerant valve is adjusted based on the flow adjusting unit, the actual pressure drop and the target pressure drop range, an updated valve is obtained, and an updated pressure drop is obtained based on the updated valve; and realizing pressure drop self-adaptive adjustment based on the updated pressure drop. According to the invention, accurate adjustment of the pressure drop of the refrigerant can be realized.

The utility model discloses a pre-compression tool for a metal fiber sintered felt, and relates to the technical field of sintered felt processing. The device comprises a bottom plate, a U-shaped frame is fixed to the upper end face of the bottom plate, a plurality of sets of evenly-distributed compression rollers are arranged between the U-shaped frame and the bottom plate, each compression roller is formed by combining two sets of semicircular cylinders, line cylinders are arranged in the compression rollers, heating pipes are fixed to the surface walls of the line cylinders, and adjusting plates are arranged at the positions between the U-shaped frame and the compression rollers. The temperature of the surface of the compression roller and the temperature of the surface of the metal fiber sintered felt are increased through the heating pipe, a soft structure on the surface of the metal fiber sintered felt is softened, the metal fiber sintered felt is made to be flat, and meanwhile the metal fiber sintered felt is compressed through the up-and-down movement of the compression roller on the inner side of the U-shaped frame. And the compression roller can be adaptively adjusted according to the metal fiber sintered felt.

The invention provides a fracture-vug type gas reservoir stratum-shaft system state self-adaptive correction method, and belongs to the field of oil and gas field development. According to the method, actually-measured wellhead pressure in the gas well production process is used as a feedback control signal, formation pressure and bottom hole flow pressure are used as system state variables, and in the same production time step, through state prediction, wellhead pressure deviation analysis and correction criterion generation, the system state variables are calculated. And the dominant influence of the formation pressure or the flowing bottomhole pressure on the wellhead pressure deviation is dynamically judged, corresponding state variables are adaptively selected for reverse correction iteration, and controlled convergence of the wellhead pressure deviation is achieved. By introducing a state correction path selection mechanism based on wellhead pressure feedback, the problems of numerical oscillation and non-physical comprehension convergence caused by blind iteration in a traditional coupling calculation method are avoided, stable calculation and dynamic correction of the fracture-vuggy gas reservoir stratum-wellbore system pressure state are achieved under the condition that complex numerical simulation is not needed, and the method is suitable for large-scale popularization and application. And the method has relatively high engineering applicability.

This utility model relates to the field of communication technology, specifically a cable winding and unwinding device, including a load-bearing plate. Two supports are fixedly installed on the top of the load-bearing plate. A reciprocating screw and a rotating shaft are rotatably installed between the two supports. A limit rod is fixedly installed above the reciprocating screw. A moving block is slidably provided on one side of the support. A piston rod A is slidably installed inside the moving block. A spring A is fixedly connected to the bottom end of the moving block. A ring is fixedly installed below the piston rod A. An air pipe is connected to one side of the moving block. A fixing ring is fixedly installed on the outer wall of the rotating shaft. A sliding ring is slidably installed on the outer wall of the rotating shaft. A hydraulic rod is fixedly provided between the fixing ring and the sliding ring. This utility model achieves adaptive adjustment of the cable size to the winding coil size through an adjustable arc plate, improving the situation of damage such as sheath cracking and core wire exposure, and reducing the cable damage rate.

The invention provides a green electricity peak shifting energy storage scheduling method and system based on green electricity inventory and double-window reward, and the method comprises the steps: recognizing a surplus window and a peak section window of renewable energy in a future scheduling period based on collected power system operation data and environment parameters; comprehensively evaluating key parameters of the system based on the operation data and the environment data, calculating a support coefficient of the characterization system for an energy storage adjustment demand degree, and updating a green electricity inventory state in a pre-constructed green electricity inventory account book according to an obtained energy source of the charging and discharging power, and performing energy consistency check to ensure that the green electricity power during discharging does not exceed the available amount of the current green electricity inventory, constructing a multi-objective optimization function based on a surplus window, a peak section window and a support coefficient, and solving the multi-objective optimization function to obtain the optimal charging and discharging power of the energy storage system. And amplitude limiting correction is carried out on the optimal charging and discharging power sequence based on the maximum available power of environmental capacity reduction obtained through environmental parameter calculation, and a final scheduling instruction is generated to be issued and executed.

The application relates to a power distribution network multi-source heterogeneous operation data association method and device, and belongs to the technical field of power system operation data processing. According to multi-source heterogeneous operation data of a target device node, a candidate device node set is determined, an association relationship between device nodes is determined through joint similarity of the target device node and each candidate device node in the candidate device node set, finally, multi-source heterogeneous operation data of the target device node and associated candidate device nodes are fused based on the association relationship between the target device node and the candidate device nodes, a reliable asynchronous, multi-source heterogeneous data unified fusion result can be provided, the accuracy and engineering usability of power distribution network unified semantic object construction are improved, and the problem that current multi-source heterogeneous data objects are difficult to unify, the same object has different names and different places have the same name, and association errors occur frequently is solved.

This invention discloses a biomass fuel pellet mill, relating to the technical field of biomass fuel pellet mills. It includes an extrusion chamber and an extrusion assembly. The extrusion chamber houses the extrusion assembly, which includes a telescopic rod. One end of the telescopic rod is connected to a stopper plate, and a stopper pin is sleeved on the outside of the stopper plate. A limit ring is provided on one side of the stopper plate for the stopper pin. In use, this invention allows for pre-compression of the material before the forming process, thereby removing air and ensuring better material adhesion. During extrusion, the material within the forming holes is completely ejected and cleaned, preventing material residue from causing blockages and hindering subsequent forming. If material blocks the channels during the ejection process, the channel size can be immediately adjusted to ensure effective ejection and cleaning. After cleaning, the system automatically resets, without affecting the next forming operation.

The invention discloses a Chinese comment sentiment analysis method fusing dynamic sentiment enhancement and multiple attention. A used model comprises a BERT coding layer, a dynamic emotion enhancement layer, a bidirectional emotion propagation layer, a multiple attention enhancement layer, a multi-granularity pooling layer and an emotion classification layer. Text features are extracted from the Chinese comment lexical element sequence and the attention mask thereof through a BERT coding layer, and dynamic emotion enhancement text features are generated from the text features through a dynamic emotion enhancement layer; the dynamic emotion enhancement text features generate emotion enhancement and perception fusion text features through a bidirectional emotion propagation layer, and the emotion enhancement and perception fusion text features generate multiple attention enhancement emotion text features through a multiple attention enhancement layer; generating a multi-granularity emotion feature from the multi-attention enhanced emotion text feature through a multi-granularity pooling layer; and the multi-granularity fused emotion features pass through an emotion classification layer to obtain an emotion classification result. According to the method, context emotion changes can be dynamically perceived, and the accuracy of emotion analysis is remarkably improved.

This application provides a two-step flocculation adaptive control method for tailings slurry based on FBRM online monitoring, relating to the field of tailings treatment technology in the mineral processing industry. The method includes: online monitoring of the original tailings slurry using focused beam reflection measurement under no-doping conditions to obtain the particle size baseline characteristics of the original slurry; adding a primary flocculant to obtain a first slurry, and monitoring the dynamic particle size characteristics of the flocs during the flocculation process in real time; based on the dynamic particle size characteristics of the first slurry, determining whether the first slurry has reached a ready state suitable for secondary flocculation according to a preset primary flocculation completion criterion; when the first slurry reaches the ready state, automatically initiating the addition of a secondary flocculant to obtain a second slurry, and providing real-time feedback on the particle size distribution change in the second slurry as a control signal to adaptively adjust the dosing rate of the secondary flocculant. This method can automatically adapt to changes in ore properties, solid content, and operating conditions, and has strong potential for widespread application.

The utility model discloses a kind of bare aluminium wire winding devices, including bearing frame, the bearing frame upper end middle part is equipped with sliding slot, the support of L type structure is arranged in the sliding slot, two groups of adjusting sleeve with telescopic structure are symmetrically installed on the one side wall of the support, the built-in buffer spring of adjusting sleeve, lifting cavity is equipped in the one side wall of the support. Advantageous effect lies in: the utility model is through setting a group of adjusting sleeve and the self-adapting adjusting mechanism of buffer spring, in the winding process of bare aluminium wire, with the winding of bare aluminium wire received tension will be more and more big, simultaneously winding drum can also be subjected to the tension of bare aluminium wire, at this time under the action of adjusting sleeve and buffer spring can make winding drum along sliding slot move and offset a part of tension, and then realize the self-adapting adjustment to bare aluminium wire tension, guarantee its winding effect and use performance.