128results about How to "Improve recovery efficiency" patented technology

The invention provides a distribution network line dynamic optimization method based on multi-fault mode analysis, and relates to the technical field of distribution network management. Comprising the following steps: acquiring electrical parameters and real-time monitoring data of each fault section in a distribution network line, and acquiring a topological structure, a load demand and historical fault data of the distribution network line; carrying out load distribution optimization on the distribution network lines by adopting a dynamic load optimization algorithm according to the topological structure and the load demand of the distribution network lines in combination with the electrical parameters and the historical fault data, and adjusting the load distribution of each distribution network line based on optimization; and when a distribution network fault occurs, positioning a fault point and implementing a repair measure by combining the topological information of the distribution network and the electrical parameters of the fault section. According to the invention, by constructing the multi-fault mode analysis model, the fault occurrence position of the distribution network is detected in real time, and the fault point is quickly positioned; and in combination with an optimized repair strategy, the fault recovery time is effectively shortened, and the distribution network recovery efficiency is improved.

The invention discloses a spinal surgery postoperative patient rehabilitation intelligent management system and method, and relates to the technical field of spinal surgery postoperative rehabilitation management, and the system can carry out real-time analysis on implant displacement characteristics, and can carry out early warning on potential deviation of an implant in advance. The first analysis module can calculate the risk index Fx of the implant, so that timely correction or adjustment is promoted, the risk of implant deviation is reduced, and the occurrence rate of postoperative complications is reduced. And the second analysis module is specially used for extracting wear characteristics of the implant, constructing an implant wear index Ms, and helping a doctor to intervene in time by monitoring the wear condition of the implant in real time so as to avoid dysfunction or risk caused by wear of the implant. And the third analysis module calculates a comprehensive fusion index ZRh by extracting bone grafting area change characteristics, bone mineral density and rehabilitation bone healing information, so that a doctor can know bone mineral density change and rehabilitation conditions of a patient, a treatment scheme is adjusted, and a rehabilitation effect is improved.

The invention discloses a micro-grid intelligent operation and maintenance controller and method, and relates to the technical field of micro-grid operation and maintenance. The intelligent operation and maintenance subsystem is formed by interactively connecting a plurality of cluster servers, each cluster server adopts a small convolutional neural network to establish a fault information set corresponding to each front-end device, and the cluster servers are utilized to train and learn a convolutional neural network model so as to obtain a small convolutional neural network and a large convolutional neural network; therefore, the state data set is identified so as to judge whether fault information exists or not. The micro-grid intelligent operation and maintenance controller and the micro-grid intelligent operation and maintenance method have good openness and compatibility, can be suitable for various micro-grids composed of different primary devices, can automatically judge micro-grid faults and carry out corresponding fault processing under the unattended condition, improve the micro-grid fault processing efficiency and reduce the fault processing cost. The dependence of micro-grid operation on operation and maintenance personnel is reduced, and the operation stability of the micro-grid is improved.

The invention provides a tree form identification-based forest and fruit tree body profiling flapping method, which can effectively flap each part of a tree crown in a shape imitating the shape of the tree crown, so that the net picking rate is improved, and high-efficiency automatic harvesting is realized. The method comprises the steps that an unmanned aerial vehicle flies according to a preset route, aerial photography is conducted on an orchard, the crown top view shape and size of each tree are determined, and the unmanned aerial vehicle sends the crown top view shape and size of the corresponding tree number of each tree to a console; when the chassis vehicle body moves, the crankshaft rotates, and the controller controls the stroke of the piston rod of each cylinder according to the shape and diameter of the flapped fruit tree crown, so that the top end of each flapping strip always moves from the edge part of the crown to the symmetry axis of the crown, and the top of the crown and the pole part of the symmetry axis are prevented from being missed in flapping. The tree crown symmetry axis refers to a symmetry axis which is parallel to the advancing direction of the chassis vehicle body and basically equally divides the top view of the tree crown.

The invention relates to the technical field of electric heating comprehensive energy information physical systems, and discloses a fault response and recovery method for an electric heating comprehensive energy information physical system. According to the method, the multi-coupling relation of electric power, thermal power and information systems is fully considered, the influence of an information layer on a physical layer in a fault response stage is modeled, and fault propagation and response characteristic simulation in a multi-system deep coupling scene is realized. The provided toughness recovery model is also based on an ETIECPS framework, the influence of an information layer in a recovery stage on a physical layer is comprehensively considered, and a fault recovery process of quick response and optimization is realized through a collaborative recovery mechanism of an information physical system, so that the recovery efficiency and the overall stability of the system are improved in a multi-attack situation.

The invention provides a data backup recovery method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the real-time data monitoring of a database and a file system, and capturing a data modification event; if the modified data is a database table or a document file, acquiring an incremental updating part of the modified data relative to the previous backup moment, performing compression based on the incremental updating part to obtain an updating compressed file at the current backup moment, creating a version identifier of the updating compressed file and a mapping relation between the version identifier and the modified data, and then backing up the updating compressed file; if the file is a picture file, compressing the modified data to obtain an overall compressed file at the current backup moment, creating a version identifier of the overall compressed file and a mapping relation between the version identifier and the modified data, and then backing up the overall compressed file; based on the version identifier corresponding to the modified data selected by the user, the updated compressed file or the overall compressed file corresponding to the version identifier is obtained, data recovery is performed accordingly, and data security and integrity are maintained.

The invention relates to the technical field of information and data processing, and discloses an intelligent recommendation method and system for a bone fracture rehabilitation training plan based on traditional Chinese medicine, and the method comprises the steps: dividing image information according to labels, and obtaining skeleton data sets with different functions; taking the first position information and the second position information as a special information set; deleting the special data set from the skeleton data set to obtain a target data set; obtaining position information of the bones to be subjected to bone fracture rehabilitation training from the target data set, and selecting matched contents such as shadowboxing, eight-section brocade or five-poultry play from a pre-stored traditional Chinese medicine rehabilitation training database; deleting related actions of the second position information from an action data set corresponding to the content; guiding the trainee to perform bone fracture rehabilitation training through the visual terminal; the system comprises a first data set construction module, a second data set construction module and a target action output module. According to the bone fracture rehabilitation training system and method, biological feature recognition and personalized, precise and systematic bone fracture rehabilitation training are achieved.

The invention is suitable for the technical field of shared clusters, and particularly relates to a recycle bin management method, a data space flashback method, a device, equipment and a medium. When deletion operation is carried out on the table space, the database objects belonging to the table space are moved into a database recycle bin, and when deletion marking is carried out on meta-information of data files contained in the table space, the data files are moved into a shared cluster file system recycle bin, and deletion marking is carried out on the meta-information of the table space. And when the table space is flashed back, if the to-be-flashed data file corresponding to the to-be-flashed table space is not cleared, recovering the to-be-flashed data file from the shared cluster file system recycle bin, clearing the deletion mark of the meta information of the to-be-flashed data file, and recovering the to-be-flashed database object corresponding to the to-be-flashed table space from the database recycle bin. And removing the deletion mark of the meta-information of the to-be-flashed-back table space. Through a database recycle bin management mechanism and a shared cluster file system recycle bin management mechanism, the table space recovery efficiency is improved.

The invention discloses a distribution network feeder fault self-healing rate automatic analysis method and system, and relates to the technical field of distribution network analysis, and the method comprises the steps: obtaining the real-time data and historical data of each feeder in an adjustment set, constructing a judgment matrix for the feeder, carrying out the sorting analysis of the feeder according to the judgment matrix, and carrying out the automatic analysis of the fault self-healing rate of the feeder. Performing priority ranking on all the feeders in the adjustment set, generating a resource allocation strategy of the feeders according to a ranking result, regularly obtaining the self-healing rate of the feeders at each time point in the self-healing process of each feeder according to the resource allocation strategy, and after the self-healing of all the feeders is completed, obtaining the self-healing rate of the feeders at each time point. And generating self-healing indexes for the feeder lines by combining the self-healing rates of the feeder lines at the plurality of time points, comprehensively analyzing the self-healing indexes of all the feeder lines, and judging whether the distribution network needs to be managed or not. The analysis system ensures that a high-priority feeder line obtains more resource support and reasonably distributes limited resources through priority ranking and a scheme, has high adaptability and can flexibly cope with complex scenes.

The invention provides a pre-disaster and post-disaster two-stage power grid toughness optimization method and system for extreme weather, and aims to improve the stability and self-healing capability of a power grid in an extreme weather event. The method comprises the following steps: firstly, identifying potential risk factors in advance by monitoring the operation state of a power distribution network and combining weather forecast information; in the pre-disaster stage, a mixed integer quadratic programming (MIQP) optimization method is adopted to carry out optimal distribution on power grid resources so as to minimize load loss and power interruption risks. When an extreme weather event occurs, the system dynamically adjusts resource allocation according to real-time data through a model predictive control (MPC) optimization method. The system integrates a monitoring and data collection module, a pre-disaster planning module, a post-disaster recovery module, a scheduling and execution module and a user interface module, and through cooperative work of the modules, reliability and stability of a power system under extreme weather conditions are ensured.

The invention relates to the technical field of rehabilitation medical equipment, in particular to hand rehabilitation equipment and system based on multi-source data analys.The hand rehabilitation equipment comprises a wearable glove, the wearable glove is made of a flexible and breathable silica gel-fabric composite material and comprises finger parts and a palm part, and the finger parts correspond to five fingers of a human body one to one; each finger part is divided into three sectional mounting positions including a near section, a middle section and a far section in the length direction, and a polytetrafluoroethylene wear-resistant sleeve is pre-embedded in the wearable glove to serve as a traction rope channel; the flexible array type myoelectricity sensors are fixed to the mounting positions of the proximal section, the middle section and the distal section of each finger part, myoelectricity, postures, tension and interaction signals are comprehensively collected, weighted fusion is conducted through an attention mechanism, the motion intention recognition accuracy is larger than or equal to 92%, functional state evaluation is more accurate, and the motion intention recognition accuracy is larger than or equal to 92%. The training mode and parameters are dynamically adjusted according to the real-time state of the user, excessive / insufficient training is avoided, and the rehabilitation efficiency is improved.

This utility model discloses a circuit breaker with an automatic recovery structure, comprising: a circuit breaker body; a disconnection operating mechanism installed and connected to the inner front end of the circuit breaker body; a rotational recovery mechanism movably installed inside the circuit breaker body and fixedly connected to the disconnection operating mechanism; an automatic recovery mechanism installed and connected to the circuit breaker body and connected to the rotational recovery mechanism; and a sensing control mechanism installed and connected to the inner front end of the circuit breaker body. This utility model discloses a circuit breaker with an automatic recovery structure that achieves higher overall recovery efficiency by using infrared sensing through the sensing control mechanism to control the automatic recovery mechanism for automatic recovery.

This invention discloses a fault handling method and apparatus based on main and distribution network coordination, belonging to the field of power system automation technology. The method includes: using a graph neural network to perform topology identification and fault location of the power grid, generating fault impact features; based on the spatial range and electrical connection relationships of the fault impact features, obtaining the switches at both ends of the faulty section of the power grid, and performing fault isolation through remote control tripping; analyzing the fault isolation information using topology impact analysis; and, combined with changes in the current topology of the power grid, generating a power grid protection strategy migration mechanism and initiating a fault recovery process to restore power supply. This invention achieves dynamic modeling of the power grid topology and accurate identification of faulty sections by using a graph neural network to embed the power grid graph and combining multi-channel time series information to generate node potential state vectors, thus improving the real-time performance and accuracy of fault location.

This invention provides a redundant array management method and system based on ZNS solid-state drives, comprising: for each stripe, upon receiving a write request, sequentially writing the data to be written into the corresponding data blocks, and overwriting and updating the check data of the check block; positioning the logical actual write pointer to the tail position of the consecutively successfully written data blocks, generating metadata corresponding to each data block, and writing the metadata into a spare area; the logical actual write pointer is used to point to the next writable position within the logical area; in the event of a failure, repositioning the logical actual write pointer based on the metadata in the spare area; based on the repositioning of the logical actual write pointer after the failure, discarding the data blocks outside the logical actual write pointer, restoring the data blocks within the logical actual write pointer, and recalculating and generating check data to complete the redundant array management of the ZNS solid-state drive.

The embodiment of the invention provides a solid state disk firmware damaged data recovery method and system. The method comprises the steps of performing information identification on a to-be-recovered solid state disk; if the hard disk information meeting the preset condition is not recognized, the hard disk is controlled to enter a preset safety mode; in a preset security mode, identifying a master control type and NAND particle information; based on the identified master control type and NAND particle information, selecting a matched target microcode from a preset firmware library; based on the target microcode, information identification is carried out again; if the hard disk information meeting the preset condition is recognized, configuring parameter information of the to-be-recovered solid state disk according to the hard disk information; and performing file system data recovery based on the NAND particle information and the parameter information. According to the method, the data recovery efficiency and the data integrity are improved.

The invention discloses a data lake table tape backup method and device, computer equipment and a storage medium. The method comprises the following steps: scanning a table list to be backed up to judge whether a table needing to be backed up exists or not; when the table needing to be backed up exists, the table to be backed up is determined; performing backup according to the type of the table to be backed up; and if the table cannot be obtained, writing all records from the last snapshot backup into a new Iceberg table for all tables involved in the backup, copying related data to a specified tape directory, and inserting the corresponding records into a metadata table. By implementing the method disclosed by the invention, economical and reliable long-term data backup can be realized, and the method is particularly suitable for application scenes with strict requirements on data persistence and integrity so as to solve the problems of efficiency and management of backup of a big data system.

The application discloses a hearing prosthesis remote system integrating machine adjustment and rehabilitation training, comprising a remote platform, a hearing prosthesis and a wireless device, the remote platform comprising a remote debugging module and a rehabilitation module, a multi-round closed loop iterative training link being formed between the components, in each round of the closed loop iterative training link, the wireless device collects rehabilitation feedback signals formed by a user based on a current rehabilitation training scheme; the remote debugging module receives the signals, generates machine adjustment signals based on the rehabilitation feedback signals and historical machine adjustment feedback results, and sends the machine adjustment signals to the wireless device and the rehabilitation module; the wireless device adjusts the hearing prosthesis based on the machine adjustment signals to obtain machine adjustment feedback results of the user; and the rehabilitation module generates a new rehabilitation training scheme for the next round based on the machine adjustment signals and the rehabilitation feedback signals; the system breaks the technical barrier between machine adjustment and rehabilitation, deeply integrates remote machine adjustment and hearing rehabilitation training, provides complete data support for machine adjustment, and realizes accurate machine adjustment.

The invention belongs to the technical field of auxiliary rehabilitation, and provides a skin pressure sensing device. The invention relates to a skin pressure sensing device which comprises a mounting group plate, and the mounting group plate is provided with at least one connecting plate and at least one connecting belt; any two adjacent connecting plates are connected through a connecting belt. The connecting plate is further provided with at least one vent hole, and the vent holes are evenly distributed in the connecting plate. Wherein the connecting plate is located on the skin surface of a patient; the vacuum assembly is arranged above the mounting assembly plate and covers the skin; the vacuum assembly comprises a vacuum sleeve, the vacuum sleeve is provided with a tightening opening, the vacuum sleeve is fastened on the body of a patient through the tightening opening, and vacuum can be formed. The device not only is reasonable in design, but also is simple to operate, and can reduce bacteria breeding of a wound by realizing an oxygen-free environment; the wound rehabilitation efficiency is effectively improved, so that the device is suitable for industrial popularization.

The application discloses a disaster recovery method and device, equipment, a storage medium and a product, relates to the technical field of cloud computing big data edge computing, and the method comprises the following steps: comparing the allocated resource capacity of an abnormal running unit with the spare resource capacity of each normal running unit after detecting the abnormal running unit; when the spare resource capacity of a plurality of alternative running units in each normal running unit exceeds the allocated resource capacity, predicting the resource use trend of each alternative running unit by using a time sequence big model; determining a target running unit from each alternative running unit according to the resource use trend of each alternative running unit, and restoring the backup file and the business service of the abnormal running unit in the target running unit. The application can improve the efficiency and accuracy of Kubernetes cluster disaster recovery.

The invention relates to the technical field of agricultural machinery, and provides a forest fruit harvesting machine which comprises a machine body, a hoisting mechanism, a vibrating mechanism and a rope, the hoisting mechanism and the vibrating mechanism are both connected to the machine body, the rope comprises a first section, a second section and a third section which are sequentially arranged in the extending direction of the rope, and the first section is used for being connected with a fruit tree; the second section is wound on the vibration mechanism, the third section is connected with the hoisting mechanism, the hoisting mechanism has a rotating state and a locking state, when the hoisting mechanism is in the rotating state, the hoisting mechanism drives the third section to be wound on the hoisting mechanism to gradually tension the rope, and when the hoisting mechanism is in the locking state, the third section is wound on the hoisting mechanism to gradually tension the rope. The vibration mechanism drives the rope to generate pulling force to shake off the forest fruits. The harvesting efficiency can be improved, the labor intensity of people is greatly relieved, manpower is saved, and high universality is achieved.

The invention belongs to the technical field of satellite communication, and relates to a satellite-ground cooperative beam fault recovery method and system, and the method comprises the steps: carrying out the multi-dimensional monitoring of a downlink signal of a satellite through a ground station, and building a health baseline model for each beam; the satellite-borne equipment executes self-inspection, generates a preliminary alarm data packet when monitoring that the parameter of the key part exceeds a preset threshold value, and reports the preliminary alarm data packet to the ground station through the telemetering link; the ground station performs fusion analysis on the health baseline model, the preliminary alarm data packet, other beam data and space environment data to obtain a fault root cause; the fault root causes comprise temporary attenuation, beam pointing offset and permanent performance recession; the ground station generates a recovery strategy based on the fault root cause; a ground station is taken as a core dominant, and rapid and accurate recovery of on-satellite beam faults is realized through cooperative work with a satellite.

The invention relates to the technical field of agricultural intelligent equipment, and discloses an automatic row control device of a tobacco harvesting machine and a control method.The automatic row control device of the tobacco harvesting machine comprises a whole vehicle controller arranged on a crawler-type tobacco harvesting machine and a motor driver used for controlling a crawler motor, and the motor driver is electrically connected with the whole vehicle controller; the angle measuring mechanism comprises an absolute value type encoder and a tobacco stem touch rod, the absolute value type encoder is electrically connected with the vehicle control unit, the tobacco stem touch rod is horizontally arranged, and one end of the tobacco stem touch rod is connected with an output shaft of the absolute value type encoder; when the tobacco harvesting machine deviates from the tobacco plant growth line, the absolute value type encoder feeds back the deflection angle information of the tobacco stem touch rod after the tobacco stem touch rod touches the tobacco stem to the whole vehicle controller in real time, and the whole vehicle controller processes the received deflection angle information and then controls the vehicle body to steer through the motor driver. The automatic row-aligning walking process along tobacco plant growth rows during field operation is achieved, and damage to tobacco leaves is reduced.

The invention relates to a combined filling mining method for a steeply inclined thin vein, which comprises the following steps: S1, arranging a stope: arranging the stope along the trend of an ore body, dividing the stope into a plurality of middle sections from top to bottom along the vertical direction of the vein, dividing ore blocks through a pedestrian ventilation raise, and reserving bottom columns at the bottoms of the ore blocks; s2, mining preparation cutting is conducted, specifically, an in-vein haulage roadway is tunneled in the direction of an ore body, and then a pedestrian ventilation raise is tunneled upwards through the in-vein haulage roadway to communicate an upper middle section air return roadway with the middle section in-vein haulage roadway; excavating a undercut roadway into the ore block from the pedestrian ventilation raises on the two sides along the upper boundary of the bottom column, and upwards excavating a one-way draw shaft as a draw shaft on one side, close to the footwall of the ore body, of the middle-section in-vein haulage roadway at the central position in the length direction of the ore block; s3, stoping, ore removal and filling are conducted, specifically, rock drilling and manual charging are conducted on the first layer from the undercut roadway, and the second layer is circularly stoped; and then filling in a filling step-by-step manner. The mining efficiency can be improved, and the labor intensity of workers can be relieved.

The invention belongs to the technical field of medical instruments, and particularly relates to a recyclable bronchial fistula plugging device which comprises a plugging device body, the plugging device body comprises a first plugging end and a second plugging end, and a waist connecting unit is arranged between the first plugging end and the second plugging end. The first plugging end, the second plugging end and the waist connecting unit are each of a mesh cage-shaped structure formed by weaving wires. The plugging device main body can be compressed by pulling the pull wire, so that the plugging device main body can adapt to bronchial fistula openings of different sizes, meanwhile, when the plugging device main body is taken out, a cooling medium is introduced into the plugging device main body, the first telescopic unit and the second telescopic unit change forms, and the plugging device is more convenient to use. And the plugging device main body is deformed in situ under the cooperation of the first telescopic unit, the second telescopic unit and the cooling medium, so that medical personnel can recycle or replace the plugging device main body conveniently.

The invention provides an air conditioner parameter processing method, device and equipment, a storage medium and an air conditioner, and relates to the technical field of air conditioners. The method comprises the steps that the first state of a first air conditioner parameter in a first storage space is monitored, and the second state of a second air conditioner parameter in a second storage space is monitored; acquiring a second air conditioner backup parameter from a preset second backup space under the condition that the first state is indicated to be an abnormal state, and acquiring a first air conditioner backup parameter from a preset first backup space under the condition that the second state is indicated to be an abnormal state; and the second air conditioner backup parameters are stored in the first storage space, and the first air conditioner backup parameters are stored in the second storage space. The method and the device are used for overcoming the defects that in the prior art, parameter backup recovery is complex, and the error rate is high, air conditioner backup parameters are obtained from a backup space in time when the air conditioner parameters are abnormal, then recovery of the air conditioner parameters is achieved, the backup recovery efficiency is high, and the backup error rate is low.

This invention discloses a combined process for restoring reservoir drainage and gas production channels using high-pressure drive and chemical dissolution, relating to the field of efficient oilfield exploitation technology. The process includes: S1, conducting production profile testing and sampling analysis of blockages in the target gas well to determine the type, distribution location, and reservoir physical parameters of the blockages, and preparing a corresponding chemical dissolving agent based on the analysis results. This invention couples the mechanical fracture-creating effect of high-pressure pulsed fluid with the cavitation effect and vibrational mass transfer effect of ultrasound. Based on the initial dissolution of blockages by the chemical dissolving agent, the stress waves generated by the high-pressure pulse expand the reservoir microfractures. Simultaneously, the collapse of microbubbles generated by ultrasound enhances the dissolution reaction rate, and the vibration promotes the dissolving agent's penetration into the micropores, achieving a synergistic effect of chemical dissolution and physical displacement, thoroughly removing blockages from the pore throats, and avoiding secondary precipitation of dissolution products.

A fructus evodiae harvesting device comprises a tractor used for providing driving force for transportation of the device, a folding mechanism, a fixing rack, a picking mechanism and a collecting and conveying mechanism, and the folding mechanism is connected with the tractor and used for achieving transportation of the device; the fixed rack is connected with the folding mechanism and is used for cutting fructus evodiae plant fruits and providing support for operation of the picking mechanism and the collecting and conveying mechanism; the picking mechanism is mounted in the fixed rack and is used for picking fruits of evodia rutaecarpa plants; the collecting and conveying mechanism is mounted on the fixed rack below the picking mechanism and is used for collecting and conveying the fructus evodiae plant fruits; and a fixed frame is arranged on the fixed rack. According to the fructus evodiae harvesting machine, mechanical harvesting of fructus evodiae can be achieved, pause is not needed during harvesting work, a large amount of manpower is effectively liberated, and the harvesting efficiency is improved.

The application relates to a full-scene quality inspection method for a car store based on adaptive fusion of multi-granularity features, which comprises the following steps: acquiring a video stream and an audio stream in a car store; extracting multi-scale visual features from the video stream, and parallelly intercepting multiple feature branches on the last layer feature map of the network to respectively capture fine-grained interaction, macroscopic body posture trajectory and environmental state semantics; extracting an audio feature vector from the audio stream, and combining the audio feature vector with the visual feature vector to form a multi-granularity feature unit pool; calculating the instance confidence of each feature vector, constructing a gating network, and under the guidance of a scene prompt word, a task prompt word and the instance confidence, allocating feature unit quotas for each feature vector, and then screening a corresponding number of feature units from the pool to be fused into a new feature vector and output; and generating a full-scene quality inspection result according to the feature vector generated by the gating network. The application can efficiently, accurately and interpretively realize full-scene quality inspection of a car store.

The invention relates to the technical field of medical instruments, in particular to a hip joint postoperative patient rehabilitation monitoring and assisting device which comprises a waist support device, a first rotating support assembly, a second rotating support assembly, a first protective pad and a second protective pad. The waist support device comprises a waist support device main body, a waist support pad fixedly arranged on one side of the waist support device main body, a sticking plate fixedly arranged on one side of the waist support pad, a magic tape fixedly arranged on one side of the waist support device main body, and a heating plate fixedly arranged on one side of the waist support device main body, the first sensor is fixedly arranged on one side of the waist support device main body; through the precise monitoring function, the reliable supporting and protecting design, the convenient use mode and the personalized adaptation characteristic, comprehensive, efficient and safe guarantee is provided for the rehabilitation process of the hip joint postoperative patient.

The utility model relates to the technical field of rehabilitation apparatus, concretely relates to a portable wrist joint autonomous rehabilitation exercise traction device, its characterized in that: including lower arm supporting plate, palm holding plate, first mounting seat, second mounting seat, traction drive mechanism and one-way self locking mechanism, lower arm supporting plate installs on the first mounting seat, palm holding plate installs on the second mounting seat, and at least one bandage assembly is equipped on lower arm supporting plate and palm holding plate, and the second mounting seat is slidably connected with the first mounting seat through the sliding assembly, and the traction drive mechanism is used for moving the second mounting seat relative to the first mounting seat, and the one-way self locking mechanism is used for playing one-way self locking effect to the movement of second mounting seat. The utility model whole simple structure is portable, convenient operation, is suitable for family use, can realize the adjustment to the traction force, effectively ensures the stability and accurate control of traction force, can better satisfy the autonomous rehabilitation exercise demand of patient, improves rehabilitation efficiency and treatment effect simultaneously.