529results about How to "Improve coordination" patented technology

The invention provides a first-aid platform work order management method based on digital twinning and artificial intelligence, and belongs to the technical field of information technology application innovation, and the method comprises the steps: collecting historical first-aid data and real-time data of a first-aid scene, and constructing a task scheduling system based on a knowledge graph; decomposing the task into a plurality of sub-tasks according to the work order data, and allocating an optimal first-aid resource combination for the sub-tasks; an optimization strategy is set to carry out collaborative allocation control on each resource, and task allocation is optimized; the optimized task allocation is monitored in real time, and meanwhile, in combination with real-time data flow monitored in real time, it is ensured that the change of the dynamic environment is responded at any time in the task execution process; and re-inputting the optimized task allocation and resource scheduling strategy into the knowledge graph, and carrying out closed-loop optimization. According to the invention, the problems of inaccurate task scheduling, weak real-time response capability, low resource utilization rate and the like in the existing work order management system of the emergency platform are effectively overcome, and the overall efficiency and the automation level of the emergency platform are greatly improved.

The invention provides a wind power plant topographic surveying and mapping method and system based on an unmanned aerial vehicle, and relates to the technical field of topographic surveying and mapping. Comprising the following steps: according to topographic characteristics of a wind power plant, adopting a multi-objective optimization model to respectively generate preliminary surveying and mapping routes for a plurality of unmanned aerial vehicles; the multi-objective optimization model takes coverage rate maximization as an optimization objective, and takes cross minimization and path length optimal solution among a plurality of unmanned aerial vehicle routes as constraint conditions; according to the real-time meteorological data, performing dynamic optimization on the preliminary surveying and mapping routes, and generating dynamically optimized surveying and mapping routes for the multiple unmanned aerial vehicles; the multiple unmanned aerial vehicles fly along the dynamically optimized surveying and mapping route, and surveying and mapping data are acquired through the data acquisition equipment. According to the wind power plant terrain complexity and the real-time meteorological data, the surveying and mapping route with the maximum coverage rate is generated for each unmanned aerial vehicle, and blind areas are eliminated through real-time supplementary measurement, so that the completeness of terrain data in the surveying and mapping area is ensured, and the missing of key terrain information is reduced.

The invention provides an electric engine, a control method, a related device, a motor controller and an aircraft, and relates to the technical field of aircrafts. The electric engine comprises a power motor, a heat dissipation system and a control module, a cavity is formed in the power motor, the control module is integrated in the cavity, the space occupied by the electric engine is reduced, and therefore the size of the aircraft is reduced; the control module comprises at least three integrated driving modules, part of the driving modules are electrically connected with the power motor so as to control the power motor, part of the driving modules are electrically connected with a variable pitch motor of the propeller so as to control the variable pitch motor, and part of the driving modules are electrically connected with a heat dissipation motor in the heat dissipation system so as to control the heat dissipation motor. The performance and efficiency of the electric engine are improved through unified integrated control over the power motor, the heat dissipation motor and the variable pitch motor. And through a unified control architecture, the system design is simplified, the development and maintenance cost is reduced, and the maintainability of the electric engine is improved.

The invention relates to an activity scene arrangement scheme generation method and system, and the method comprises the following steps: obtaining activity scene data, and carrying out the analysis to obtain an activity theme and the characteristics of participants; objective condition parameters of the target site are obtained, and the candidate arrangement elements are screened; constructing a multi-dimensional attribute vector according to the screened arrangement elements; clustering the multi-dimensional attribute vectors, and performing spatial layout planning on layout elements; performing combined optimization on the generated spatial layout plan, color scheme and light effect setting; the time period of the activity is extracted, and the recommended arrangement scheme is adjusted according to the relevance; and performing visual rendering on the adjusted recommended arrangement scheme, and optimizing and determining an activity scene arrangement scheme. Intelligentization and individuation of activity scene arrangement are achieved, integrity, creativity and coordination of the arrangement effect are improved, meanwhile, influences of actual site conditions and activity time are considered, and a more optimized scene arrangement solution is provided for a user.

The invention provides a production business mode construction method based on an industrial internet platform, and relates to the technical field of data processing, and the method comprises the steps: collecting multi-source data, and carrying out the preprocessing of the multi-source data; calculating the adaptation degree of the equipment and the task; dynamic influence parameters are extracted, and operation parameters in the equipment data are adjusted in combination with the adaptation result; constructing a weighted multi-objective function in combination with a completion time limit, a resource demand and a priority factor in the task data; generating a task priority sequence by solving the multi-objective function, and generating a task scheduling strategy according to the task priority sequence; in combination with the real-time state parameters in the equipment data, calculating the utilization efficiency of the equipment resources; performing priority ranking on the equipment according to the equipment resource use efficiency, and generating a resource allocation scheme through a segmented dynamic optimization algorithm; generating a production business mode according to the task scheduling strategy and the resource allocation scheme; according to the invention, the autonomy and accuracy of the production business mode are improved.

The invention relates to the technical field of obstacle avoidance early warning, in particular to an obstacle avoidance early warning method and system for a robot. The method comprises the following steps: acquiring motion data and moving target point data of a robot; robot motion mode classification is conducted on the robot motion data, and a robot motion mode and a robot static mode are generated; performing environment detection on the moving target point data by using a built-in laser radar of the robot according to the static mode to obtain standard static environment detection data; and planning the path according to the standard static environment detection data, and generating initial running path planning data of the robot. According to the invention, the obstacle avoidance early warning precision and real-time performance of the robot in a complex environment are improved by accurately distinguishing static and dynamic objects, reconstructing the motion trail and planning and adjusting the path.

The invention relates to the technical field of micro-grid distributed control, in particular to a micro-grid cluster distributed control method and system based on information interconnection. The method comprises the following steps: identifying a micro-grid cluster in a region, and extracting a plurality of micro-grid nodes; obtaining a plurality of microgrid operation state parameters; performing filtering standardization processing on the plurality of micro-grid operation state parameters, and constructing a micro-grid time sequence load change curve; discrete wavelet transform is carried out on the micro-grid time sequence load change curve, load fluctuation frequency trend mining is carried out, and micro-grid load fluctuation frequency trend characteristics are generated; carrying out data stream encapsulation on the load fluctuation frequency trend characteristics of the micro-grid, and constructing a cloud environment distributed computing framework; carrying out dynamic load demand calculation on the plurality of micro-grid nodes based on a cloud environment distributed calculation framework so as to obtain multi-period load demand prediction data of each micro-grid; according to the invention, high-efficiency microgrid cluster control with high energy utilization rate is realized.

The invention discloses an in-tunnel construction vehicle meeting scheduling system based on positioning equipment. The system comprises a basic service module which is used for storing basic data for business service analysis in an acquisition and collection mode; the business service module is used for carrying out detailed analysis of the corresponding service through the data acquired by the basic service, and providing an analysis result to the display end for display; and the display end module is used for displaying the analysis result of the business service module, wherein the display modes comprise a mobile phone APP, a webpage large screen, an LED panel, a tunnel loudspeaker and a tunnel traffic light. The system carries out weight grading on vehicle and personnel positioning labels by standardizing a tunnel construction process, and integrates data of avoidance points of a transverse tunnel. And in combination with an intelligent technology, efficient vehicle meeting scheduling, intelligent construction path planning and avoidance point path planning of the construction area are realized.

The invention relates to the technical field of power distribution station control, in particular to a reactive power optimization control system of a power distribution station. Comprising a power distribution station data acquisition module, a reactive prediction module, an optimization decision module, a distributed cooperative control module and a monitoring interaction module. The power distribution station data acquisition module acquires parameters such as voltage and current and guarantees data integrity; the reactive power prediction module performs modeling based on a graph neural network and generates a prediction report; the optimization decision module adopts a differential evolution algorithm to generate an optimal compensation scheme; the distributed cooperative control module realizes cooperation between devices through fractional calculus; and the monitoring interaction module realizes equipment diagnosis, aging prediction and dynamic feedback. Through an advanced algorithm and a cooperative control technology, high efficiency, reliability and intelligence of reactive power optimization control of the power distribution station are realized, and the operation efficiency and reliability of the power distribution station are improved.

The invention relates to the field of animation rendering, and provides an intelligent rendering method for realizing an animation picture, which comprises the following steps of: firstly, collecting an initial animation picture, identifying a scene of the initial animation picture, analyzing an animation effect demand, carrying out picture analysis in combination with style characteristics to obtain a scene picture element, and detecting an element type to determine a special effect demand degree; a special effect rendering scheme is generated; an adaptive color mode is queried; visual atmosphere parameters are evaluated to calculate a color adjustment amount; a color optimization strategy is constructed; and determining a rendering target based on the special effect rendering scheme, the color optimization strategy and the visual angle adjustment plan, optimizing a picture to obtain a record, monitoring the rendering quality, and finally generating an intelligent rendering scheme. According to the invention, the efficiency and quality of animation picture rendering can be improved.

The invention discloses a power cable intelligent segmentation management method and system, and belongs to the field of power supply management, and the method comprises the steps: setting a first time sequence segmentation influence coefficient and a second time sequence segmentation influence coefficient, and building a dynamic decision node; acquiring cable layout information of a to-be-monitored power cable; configuring a backtracking time window, and establishing backtracking basic parameters of the power cable to be monitored; according to the backtracking basic parameters, adaptive analysis of balancing task requirements and balancing climate influences is carried out, and a first clustering constraint is generated based on an adaptive analysis result; and establishing a first clustering constraint according to the cable layout information, establishing a second clustering constraint according to the cable layout information, establishing a dynamic segmentation strategy according to the first clustering constraint, the second clustering constraint and the dynamic decision node, allocating an edge joint early warning network, and executing segmentation management based on the edge joint early warning network. A segmentation strategy is dynamically generated based on multi-dimensional data, precise and intelligent early warning and management of the power cable are realized, and the early warning response speed and accuracy are improved.

The invention belongs to the technical field of intelligent control of air conditioning systems, and discloses a split type air conditioner load management system and method. The system comprises a central controller, a health management module, an adaptive integrated control module AICA and an intelligent scene recognition module. The central controller integrates various sensor information such as temperature and humidity, air quality and user physiological data, data processing and intelligent decision making are carried out through an AICA module, and dynamic optimization management of air conditioner loads is achieved. The health management module automatically adjusts the air conditioner operation mode according to the body temperature, heart rate and other physiological indexes of the user, and a comfortable environment is provided. And the intelligent scene recognition module is used for pre-judging user requirements and adjusting the operation of the air conditioner by learning a user behavior mode. The energy efficiency and the intelligent level of air conditioner operation are improved, the method is suitable for air conditioner load management of various buildings, energy can be effectively saved, and the comfort level of users is improved.

The invention discloses an image restoration method based on a multi-scale residual module and feature fusion, and belongs to the technical field of image processing. The multi-scale residual module designed by the invention can effectively capture feature information of different scales of the image, the quality of the repaired image is improved from a fine texture to a macroscopic structure, a feature fusion strategy fusing detail branches and semantic branches can fully integrate features of different levels, the detail expression and overall coordination of the image are enhanced, and the image quality is improved. Through fusion of multi-scale features, limitation possibly brought by single-scale features is avoided, and the repaired image is more real and fine in color, texture and structure. And the multi-scale residual error module can relieve the gradient disappearance problem, the calculation efficiency is high, the image restoration task can be completed in a short time, and the introduced and designed dual-channel global attention module has good robustness, so that the method can stably play a role in various complex image damage conditions.

The invention discloses a production processing data collaborative management system and method of a curtain wall single aluminum plate, and relates to the technical field of data collaborative management. According to the method, the production processing data and the quality detection data of the curtain wall single aluminum plate are collected, the dynamic time warping algorithm is adopted to analyze the time sequence data change between the working procedures, the time deviation and the performance fluctuation between the working procedures are recognized, then the working procedure coordination index is obtained, and the time synchronism and the efficiency matching degree between the working procedures are measured. And performing classification and regression analysis on the quality index of each processing procedure through a decision tree algorithm to obtain a quality stability index, and identifying and predicting quality fluctuation and abnormal modes in different procedures. And judging whether the sequence and priority of the production processes need to be adjusted or not through comprehensive analysis of the process coordination index and the quality stability index. And time inconsistency, efficiency bottleneck and quality fluctuation in the production process are identified, intelligent optimal scheduling of the production process is realized, and the collaborative management level of the production process is improved.

The invention discloses low-drunkenness type Baijiu distiller's yeast and a preparation method and application thereof. The prepared distiller's yeast can be used for producing baijiu, the physical and chemical indexes of the baijiu are good, fusel oil is reduced by 30%-57%, the metabolism speed of yeast is controlled by controlling the saccharification speed, and the generation of the fusel oil is reduced; meanwhile, lactic acid bacteria and bacillus subtilis of the distiller's yeast and bacteria cultured in a high-temperature stage can effectively inhibit the path of fusel oil metabolized by yeast, generation of fusel oil is further reduced, total ester and total acid are slightly increased basically, the content of total dibasic acid is increased by 10 times, and the content of dibasic acid diethyl ester is increased by 2 times. After the wine liquid is aged, drunkenness detection is carried out, and the comprehensive drunkenness Q is 0.6815-0.8325 and is far lower than a variety of commercially available white spirits (the comprehensive drunkenness is greater than or equal to 1).

The invention relates to the technical field of audio processing and loudspeaker box control technologies, in particular to a loudspeaker box control method, system and device based on a built-in sound source and a storage medium, and the method comprises the steps: obtaining a selection instruction of a user, and calling a corresponding sound source file based on the selection instruction; receiving the called sound source file by using a built-in preset audio processing algorithm, and adjusting audio parameters of the sound source file; performing deep optimization combination on the processed audio parameters corresponding to the plurality of audio source files subjected to audio parameter adjustment by using an audio mixing algorithm so as to obtain a playing audio signal; and transmitting the playing audio signal to an integrated amplification circuit for power amplification, and enhancing the signal strength to drive a loudspeaker to work. The application has the effect of improving the audio quality and the user experience.

The invention discloses a power-saving device and method for high-voltage power utilization, and relates to the technical field of power grid control, a self-adaptive dynamic control strategy and a load prediction function are introduced, and a reactive compensation module can adjust the compensation amount according to the real-time change of the load demand; when the load fluctuates violently, a response can be quickly made, unnecessary energy consumption is reduced, the main line and the load end are respectively provided with compensation equipment, and distributed compensation and main line compensation are dynamically matched through load fluctuation prediction and a self-adaptive control technology; when the load changes, the load end equipment preferentially and quickly responds, the coordination of compensation is effectively improved, redundant power loss is avoided, and the harmonic management module realizes accurate harmonic suppression through real-time harmonic data monitoring and parameter adaptive adjustment of the intelligent filter; the intelligent filter automatically adjusts the damping coefficient and the frequency gain according to the frequency and the power density of each harmonic component, and the harmonic component of the specific frequency is inhibited in time; and the harmonic wave fluctuation coping capability of the system is improved.

The invention relates to the technical field of data processing, and discloses a BIM-driven steel structure collaborative design method, device and equipment. The method comprises the steps of performing parameterization processing on building information data to obtain intelligent BIM data; performing multidisciplinary data exchange processing on the intelligent BIM data to obtain collaborative design data; performing intelligent structure analysis processing on structure information in the collaborative design data to obtain optimized structure data; performing adaptive component design processing on the optimized structure data to obtain customized component data; performing virtual construction simulation processing on the customized component data to obtain construction optimization data; intelligent operation and maintenance processing is carried out on the construction optimization data and the actual construction data, full-life-cycle management data are obtained, and the full-life-cycle management data comprise real-time monitoring data, performance evaluation results and predictive maintenance suggestions. The efficiency and accuracy of steel structure collaborative design based on BIM driving are improved.

The invention discloses a power system time synchronization tester detection management method, and relates to the technical field of power system testing and monitoring, and the method comprises the steps: S1, connecting each time synchronization tester to a central management platform, and starting initial time synchronization; s2, generating a synchronous correction instruction based on the time deviation data reported by each tester; s3, sending a synchronous correction instruction to each tester, and performing time deviation correction; s4, monitoring the time deviation of each tester in real time, and ensuring the synchronization precision after correction; s5, when it is detected that the time deviation exceeds a preset threshold value, triggering a re-correction process; according to the power system time synchronization tester detection management method, the problem of synchronization coordination caused by inconsistent time deviation correction in a multi-device synchronization process in the prior art is solved.

The invention relates to a joint control lamp effect adaptation method and device, equipment and a medium. The method comprises the following steps: acquiring a target image of a planar lamp in a lamp effect joint control system according to the applied lamp effect; extracting a feature color set based on the target image, and determining a lamp effect color matching scheme applied by a non-planar lamp in a lamp effect joint control system according to the feature color set; based on a content description text generated according to the target image, determining a lamp effect motion mode applied by the non-planar lamp; and sending the lamp effect movement mode and the lamp effect color matching scheme to the non-planar lamp, so that the non-planar lamp plays the corresponding lamp effect by applying the lamp effect movement mode and the lamp effect color matching scheme. The lamp effect color matching scheme and the lamp effect movement mode of the non-planar lamp are determined based on the planar lamp according to the target image of the applied lamp effect, it is ensured that the lamp effects of different types of lamps in the lamp effect joint control system can be coordinated and consistent, and therefore the coordination and aesthetic feeling of the overall lighting effect are improved.

The invention belongs to the technical field of power generation, and discloses a power generation gas turbine grid-connected power allocation technology and device which comprises a power detection module, a data processing module and a power regulation and control module. And the output power of the gas turbine is detected in real time through the power detection module, so that the real-time performance of power allocation is ensured. The power detection has the advantages of single current detection, simplicity, linearity and high efficiency. And accuracy: through the data processing module and a preset algorithm, a power regulation and control instruction can be accurately calculated, and accurate allocation of the grid-connected power of the gas turbine is realized. The power allocation effect is that any proportion can be adopted for adjustment, and the power error is reduced; and stability: the output power of the gas turbine is regulated and controlled through the power regulation and control module, so that the stability of the power grid can be effectively improved. According to the power allocation effect, the problem that power oscillates between the two gas turbines does not occur.

The invention discloses an air conditioner energy-saving operation optimization scheduling method and system. The method comprises the following steps that position coordinate data of all air conditioner units in a factory workshop are obtained; according to the position coordinates and the relative positions of the air conditioner units, the air conditioner units are divided into a basic air conditioner set and adjacent air conditioner sets; according to the spatial distribution relation of the air conditioning units, an influence relation graph between the air conditioning units is constructed; based on the heat generated in the workshop, the thermal load condition of each area is determined; based on the heat analysis result, the operation parameters of each air conditioning unit are set in combination with the mutual influence relation between the air conditioning units; scheduling optimization is conducted on the operation state of the air conditioning unit based on the operation parameters of the air conditioning unit; according to the air conditioner energy-saving operation optimization scheduling method and system, the problems of low energy efficiency, energy waste, unreasonable scheduling, lack of flexibility and the like of an air conditioner system are solved. Through intelligent optimization scheduling, the operation efficiency of the air conditioning system can be effectively improved, energy consumption is reduced, and the purposes of energy conservation and emission reduction are achieved.

The invention provides a real-time rendering method for an augmented reality game, and relates to the field of three-dimensional reconstruction, and the method comprises the steps: obtaining the rendering scene description of a game object in a three-dimensional model; generating a rendering fusion feature of the game object according to the rendering scene description, and performing subdivision detection on the rendering fusion feature to obtain a texture element index of the game object in the virtual object model; determining a target scene rendering image of the game object in the rendering coloring model, and determining a rendering embedding identifier corresponding to the target rendering range according to the target scene rendering image; determining a rendering structure level of the game object in the target rendering area according to the reference pose information, and determining a rendering interaction attribute of the game object during rendering task distribution according to the rendering structure level and the texture element index; the game object is rendered in real time according to the rendering embedded identifier and the rendering interaction attribute, and the game scene is generated, and the real-time rendering performance of the augmented reality game can be improved under the influence of visual dislocation generated by the compatible rendering effect.

The light-weight lower limb exoskeleton control system comprises a backrest assembly, leg assemblies are arranged on the two sides of the backrest assembly, and each leg assembly comprises a hip joint movement mechanism, a thigh exoskeleton mechanism, a shank exoskeleton mechanism and a foot mechanism which are sequentially arranged from top to bottom; a knee joint energy storage mechanism is connected between the thigh exoskeleton mechanism and the shank exoskeleton mechanism; the knee joint energy storage mechanism comprises an upper mounting seat, a lower mounting seat, a telescopic sleeve and an energy storage spring sleeving the telescopic sleeve; the upper mounting seat is fixedly connected with the thigh exoskeleton mechanism and is connected with the upper end of the telescopic sleeve through a rotating pair; the lower mounting seat is fixedly connected with the shank exoskeleton mechanism and is connected with the lower end of the telescopic sleeve; a plurality of mounting holes are formed in the upper mounting seat, and the elastic strength of the knee joint energy storage mechanism is changed according to the elongation of the energy storage spring when the telescopic sleeve is mounted at different positions. Compared with the prior art, the method has the requirements of light weight and low control complexity.

The invention discloses a double-arm collaborative operation method suitable for a transformer substation tubular bus carrying electrified robot, and relates to the technical field of power system automation. Comprising the following steps: comparing an electromagnetic change threshold value with a dynamic threshold value to obtain an electromagnetic environment change parameter and an early warning signal; adjusting the control parameters of the robot and the sensitivity of a sensor through the early warning signal; determining a strong electromagnetic field area through the electromagnetic environment change parameters, and planning an inspection path of the robot; and according to the inspection path, carrying out tubular bus-bar drainage wire lapping / dismounting operation at the target position. According to the method, the electromagnetic environment change in the transformer substation is monitored in real time, the electromagnetic change threshold value is determined and compared with the dynamic threshold value, and the early warning signals of different levels are generated, so that an operator can be reminded in time or robot parameters can be automatically adjusted, and equipment faults or safety accidents caused by a strong electromagnetic field are avoided.

The invention provides a smart city lighting system adaptive brightness adjustment method, medium and system, and belongs to the technical field of lighting brightness adjustment processing, and the method comprises the steps: obtaining the partition information of a smart city lighting system, building a lighting system matrix, and obtaining the partition information of the smart city lighting system; and the ambient illuminance, the people flow density, the traffic flow density and the weather condition data of the lighting units of all the partitions are collected in real time. Similarity analysis is carried out based on real-time data, and a multi-objective optimization model is established, including illumination demand satisfaction, energy consumption minimization and illumination uniformity. And performing optimization calculation on the partitions by using the optimization model to obtain an optimized partition scheme, and constructing a second multi-objective optimization model including energy consumption minimization, illumination uniformity maximization and partition number minimization. And establishing a brightness adaptive model comprising a fuzzy controller for the optimized minimum partition, and calculating the target brightness of the illumination unit in each partition according to the real-time data, thereby solving the problem that the brightness cannot be adaptively adjusted according to the environment in the prior art.

The invention relates to the technical field of waste textile recycling, in particular to a rotary distributing device for waste textiles, which comprises a machine base, a case shell is fixedly mounted at the top of the machine base, a gear motor is arranged on the side surface of the case shell, a middle shaft rod is arranged in the case shell, and a roller part is fixedly mounted outside the middle shaft rod. According to the sorting machine component set, the gear motor drives the middle shaft rod, the roller piece and the hook piece to rotate, automatic hooking and material distribution from piles of waste clothes are achieved, the material distribution efficiency is greatly improved, the problem that clothes are overstocked due to the fact that manual material distribution is low in speed and low in efficiency is solved, and the waste cloth recycling efficiency is improved.

The invention relates to the field of earth-rock engineering, and discloses an organization design optimization method for improving the work efficiency of earth-rock engineering machinery, and the method comprises the following steps: S1, carrying out the modeling of each process in the earth-rock engineering through a directed acyclic graph; s2, calculating the earliest starting time and the latest starting time of each process by using a critical path method based on the process relation model, identifying a critical path of the project, and determining a critical process which affects the project construction period; s3, on the basis of the identified key process, performing process scheduling optimization by using mixed integer linear programming to ensure that the project period is minimized under resource limitation, and generating an optimized process scheduling scheme; and S4, based on the optimized process scheduling scheme, establishing a multi-stage queuing theory model, and optimizing the scheduling of the mechanical equipment. By optimizing procedure scheduling and mechanical equipment scheduling, the construction efficiency of earth-rock engineering is remarkably improved, the construction period and resource waste are reduced, and it is ensured that a project is efficiently completed on schedule.

The invention relates to rehabilitation equipment capable of intelligently simulating swallowing actions, and belongs to the technical field of medical instruments. Comprising a main body frame which is fixed on the head of a patient through a cranial top limiting claw sleeve, a cranial side face clamping piece and a side face clamping plate. An oral cavity upper and lower jaw occlusion training module, a tongue stretching and curling guide training module and a throat action simulation sub-module are arranged to cooperatively simulate the whole swallowing process. And the central processing unit is provided with various sensors, such as surface myoelectricity, pressure, flow and acceleration sensors, acquires multi-dimensional data and transmits the multi-dimensional data to the central control board. The central processing unit analyzes data in combination with a database so as to regulate and control action parameters of all the modules, and personalized rehabilitation training is achieved. The man-machine interaction module provides operation and feedback, and the data storage and transmission module guarantees data management and sharing. The equipment can be accurately simulated and intelligently regulated and controlled, and the swallowing rehabilitation effect and the life quality of a patient are effectively improved.

The invention relates to the technical field of ceramics, in particular to celadon glaze water, ceramics and a preparation method thereof, and the preparation method comprises the following steps: preparing the celadon glaze water: preparing 10-15 parts of cooked talc, 5-8 parts of an additive modifier, 4-7 parts of ball clay, 4-7 parts of modified dolomite, 2-4 parts of Longquan porcelain clay, 2-4 parts of zinc oxide and 2-4 parts of tin oxide; the ceramic of the celadon glaze water is prepared by the following steps: blending potassium feldspar, quartz, kaolin and bentonite, and carrying out wet ball milling to obtain a ball-milled material; the preparation method comprises the following steps: by taking calcined talc, ball clay, Longquan porcelain clay, zinc oxide and tin oxide as matrix materials, adding a modifier and modified dolomite as functional aids, and blending and coordinating the matrix materials and the functional aids, obtaining the celadon glaze water with excellent surface wear resistance and impact strength.