176results about How to "Good training effect" patented technology

The invention discloses a traffic scene multi-target classification method, to be specific, discloses a traffic scene classification method based on a multi-scale convolution neural network. The traffic scene classification method is characterized in that recessive characteristics based on the multi-scale convolution neural network are extracted; and an optimal covering segmentation tree is acquired. During the realizing of the traffic scene classification, the multi-scale convolution neural network is adopted, and the excellent recessive characteristics having the invariance property are effectively extracted from an original image in different scales, and by comparing with the single-scale convolution neural network, the acquisition of the abundant and effective characteristic information of the image is realized. The effective information extracted by the convolution neural network is combined with the original segmentation tree of the image to form an optimal purity price tree, and the covering having the optimal purity is carried out, and therefore a clearer target contour is acquired, and the classification accuracy is increased. The RGB-D is used as the convolution neural network input, and by comparing with the conventional RGB convolution neural network input, the training characteristic is additionally provided with the depth information, and the classification of the input image is more accurate.

The invention discloses a multi-pose lower-limb rehabilitation robot and a use method thereof, and belongs to the field of medical apparatuses. The rehabilitation robot comprises a pedestal, a liftingmechanism and a bed body which are arranged sequentially from bottom to top; a pair of thigh training mechanisms and a pair of leg training mechanisms are symmetrically arranged on the two sides of the bed body correspondingly; the thigh training mechanisms and the leg training mechanisms are used for performing lower-limb rehabilitation training on a patient whose lower limbs have dyskinesia; the patient is subjected to lower-limb rehabilitation training by multiple modes; furthermore, the bed body and a seat cushion are overturned, so that training of three poses of sitting, lying and standing can be realized, the training mode is comprehensive and the training effect is good. By the method adopting the multi-pose lower-limb rehabilitation robot, the training effect is excellent.

The invention relates to a lower limb rehabilitation robot control method and a lower limb rehabilitation robot control system based on electroencephalogram-myoelectricity signals. The lower limb rehabilitation robot control method based on the electroencephalogram-myoelectricity signals includes following steps: a, according to specific motion intention of a user, synchronously collecting corresponding electroencephalogram signals and corresponding myoelectricity signals; b, preprocessing the collected signals, and removing noise; c, extracting features of the myoelectricity signals, and establishing a motion model based on the myoelectricity signals; d, performing coherence analysis on the myoelectricity signals and the electroencephalogram signals, and building an electroencephalogram-myoelectricity classifier model; e, in rehabilitation training, collecting the electroencephalogram signals and the myoelectricity signals of the user in real time, inputting the electroencephalogram signals and the myoelectricity signals into the electroencephalogram-myoelectricity classifier model, outputting a classification result of the motion intention, and meanwhile using the motion model for verification. The lower limb rehabilitation robot control method and the lower limb rehabilitation robot control system based on the electroencephalogram-myoelectricity signals adopt the electroencephalogram-myoelectricity coherence analysis for performing clarification of lower limb motions, and meanwhile perform a contrast test on the classification result and a result of the mechanical motion model, and enhances accuracy of the classification result.

The invention relates to a practical training system for overhauling of a secondary circuit, and belongs to the technical field of secondary circuit overhauling training equipment in the power industry. The practical training system comprises at least two or more of a three-phase breaker spring operation mechanism training cabinet, a phase splitting breaker hydraulic operating mechanism training cabinet, a phase splitting breaker spring operation mechanism training cabinet, an insolated switch electric operation mechanism training cabinet and a transformer cooling circuit training cabinet, and a background computer which is correspondingly connected with the at least two or more of the training cabinets mentioned above through a switchboard in a communication way. According to the practical training system for overhauling of the secondary circuit, a fault simulator is adopted and used for arranging general faults which occur in the real running of the relative control circuit in each training cabinet under the control of the background computer; the practical training system can be used for really simulating the normal running state and the fault state of the secondary equipment of a power system and the circuit of the secondary equipment, thus a trainee can analyze, search and remove the faults, and also can personally get involved by simulating the real secondary equipment and the circuit of the secondary equipment; and the practical training integrates theory with practice, so that a good training effect can be realized.

A bridge-style movement exercise bed comprises a bed body, an upper supporting frame, a lower supporting frame and a seesaw. The bed body comprises a head holder, a stern holder and a foot holder. The head holder, the stern holder and the foot holder are respectively provided with elastic pipe jacks. The head holder, the stern holder and the foot holder are connected through a plurality of elastic pipes which are internally provided with springs. The lower part of the stern holder is connected with a supporting barrel. The head holder is placed on the upper supporting frame. The foot holder is placed on the lower supporting frame. The head holder and the foot holder are respectively fixed on the frame board of the upper supporting frame and the frame board of the lower supporting frame through fixing clamps. Each of the upper supporting frame and the lower supporting frame respectively supporting frame legs, baffle boards and the frame boards. Two sides, which correspond with the supporting frames, of the supporting barrel are provided with fixing bolts. The seesaw is connected with the supporting barrel through the fixing bolts. The supporting frame of the stern support comprises a stern holder supporting seat and a stern holder supporting column. The supporting barrel sleeves the supporting column of the stern holder. A seesaw supporting frame is mounted at one side of the bed body. The seesaw is fixed on the seesaw supporting frame through a transverse shaft. The bridge-style movement exercise bed has advantages of realizing convenient use, saving time and labor of medical personnel, and ensuring a fact that a patient achieves the purpose of a bridge motion exercise.

The invention relates to the technical field of fitness equipment, and discloses an apparatus for comprehensively training arm strength and abdominal muscles. The apparatus comprises a base, a supporting cylinder is fixedly installed at one side of the top of the base, an armrest rod is fixedly installed at the other side of the top of the base, the other end of the armrest rod is fixedly connected with the top of one side of the supporting cylinder, and a supporting spring is fixedly connected to the bottom of an inner cavity of the supporting cylinder. By means of the apparatus for comprehensively training the arm strength and abdominal muscles, through the adjustment of the height and the angle, a user bends down to place the abdomen over a sponge pad with a short distance, the dual hands tightly hold a lifting yoke rod, magnetic repulsion force is applied to a permanent magnet through a first electromagnet, so that the lifting yoke rod is stressed downwards, which is equal to the fact that gravity is applied to the hands of the user, and the user keeps the position of the lifting yoke rod unchanged so that arm load bearing and vertical bending training can be conducted. Throughmachine assisting, the user more scientifically controls the bending degree, and precisely controls the unbending and bending degree of the arms, and thus an excellent training effect is achieved.

The invention relates to a high-efficient voice instruction recognition method based on a fuzzy theory and an expert system, which mainly comprises the following steps of: A. establishing a flight knowledge base and an instruction library; B. performing fuzzy voice recognition; and C. performing reasoning judgment on voice by using a voice recognition expert system to obtain instructions. Proved by practices, by the application of the high-efficient voice instruction recognition method based on the fuzzy theory and the expert system disclosed in the invention, ten voice instructions which are mostly close to a training template are recognized through fuzzy recognition, and then the expert system is used for reasoning and judging the ten instructions one by one from the instruction mostly close to the training template to exclude unreasonable voice instructions and finally find out the instruction mostly suitable to the practice, and thus the voice recognition rate reaches more than 99 percent. Moreover, the system real-time property can be realized; the requirements of flight simulation training are met; and good training effect is achieved.

The invention relates to an updating method and device of an operation virtual scene of a transformer substation as well as a simulation operation training system. The updating method of the operation virtual scene of the transformer substation comprises the following steps: when determining that a virtual transformer substation system currently is in a transient process or enters a stable state after the transient process is finished, carrying out transient simulation on the virtual transformer substation system to generate simulation data; changing equipment model parameters of a primary simulation system and a secondary simulation system according to the simulation data; after confirming that the primary simulation system and the secondary simulation system make linked operation after the equipment model parameters are changed, controlling a primary equipment model and a second equipment model to act; updating model attribute data of the primary equipment model and the second equipment model based on an action result; correspondingly updating a current virtual scene of the virtual transformer substation system in a training terminal according to the updated model attribute data. By adopting the updating method and device of the operation virtual scene of the transformer substation as well as the simulation operation training system, updating of the virtual scene of the linked operation of the primary and secondary systems can be realized.

The invention provides a three-dimensional (3D) somatosensory biofeedback comprehensive relaxing and training system, which is used for carrying out somatosensory interaction with a trainee so as to collect and analyze the physiological signal of the trainee in real time, the trainee carries out corresponding comprehensive training, and a corresponding 3D audio video result is output to the trainee to help the trainee to improve the self mental regulation ability. The system comprises a multichannel digital collection module for a physiological signal, a comprehensive analysis and treatment module for the physiological signal, a comprehensive physiological training module, a psychological database, somatosensory interaction equipment, a seamless 3D player, a 3D media catalog and 3D true feeling reducing equipment, wherein the trainee interacts with the system by the somatosensory interaction equipment and the 3D true feeling reducing equipment to form the presence so as to strengthen the training effect.

The invention relates to a rehabilitation aid, in particular to a rolling rehabilitation aid for medical care. The invention solves the technical problems by providing the rolling rehabilitation aid for medical care, which is convenient to use, good in a training effect and relatively large in effect of performing rehabilitation training on a patient. The invention adopts a technical scheme as follows: the rolling rehabilitation aid for medical care comprises a bottom plate and the like, wherein a left side plate and a right side plate are arranged on the top of the bottom plate; the left sideplate is positioned on the left side of the right side plate; a seat plate is arranged on the tops of the left side plate and the right side plate; a backrest plate is arranged on the right side of the top of the seat plate; a massaging mechanism is arranged on the left side of the left side plate; a swinging mechanism is arranged below the seat plate. By manually operating the swinging mechanismto work, arms can be exercised and the massaging mechanism can be driven to massage legs of the patient; meanwhile, a leg stretching mechanism can stretch the legs for exercising and a back massagingmechanism can knock the back of the patient to make the patient more comfortable, so that the rolling rehabilitation aid for medical care achieves the effects of convenience in use, a good training effect and a relatively large effect of performing rehabilitation training on the patient.

The invention, which relates to the pedestrian re-identification technology, provides a method for realizing a pedestrian re-identification system. The method comprises: step one, offline modeling iscarried out on a monitoring video; to be specific, g pedestrian detection and pedestrian feature extraction are carried out; and step two, online retrieving is carried out; to be specific, when onlineretrieving is carried out, two kinds of sorting is carried out; pedestrians in each video are sorted based on similarities with a retrieving target, and then a possibility value of containing a retrieving target is calculated for each retrieving video, and the videos are sorted. A method combining deep features with manual features is employed in practical application. Deep feature learning is carried out by using a network structure with fusion of two kinds of loss functions including a classification loss function and a ternary-set loss function; and because of the fusion of the two kinds of loss functions, tag information of a data set and similarity information of an image pair are utilized fully, so that effective distinguished pedestrian features are obtained under the condition ofthe small data set. With the improved ternary-set loss function, the training effect is optimized.

The invention discloses a pair of electronic focal-length-adjustable glasses which comprises a glasses frame, a glasses carrier, a nose support and two groups of focal-length-adjustable eyeglasses, wherein a motor, a transmission structure, a driving control device and a battery are respectively arranged on the outer side of each group of focal-length-adjustable eyeglass; each focal-length-adjustable eyeglass comprises a front eyeglass and a rear eyeglass; the front eyeglasses and the rear eyeglasses are arranged in parallel and are driven by the transmission structures to horizontally move left and right relatively; the transmission structures are controlled by the motors; the motors are controlled by the driving control device; the motors and the driving control devices are connected to the batteries. According to the electronic focal-length-adjustable glasses, the work of the motors is controlled by the driving control devices, the work of the transmission structures is controlled by the motors, and the transmission structures drive the front eyeglasses and the rear eyeglasses of the focal-length-adjustable eyeglasses to transversely move relatively, thus fulfilling the aim of adjusting the focal length; the electronic focal-length-adjustable glasses are reasonable in structure; the volume is equal to that of conventional glasses; the electronic focal-length-adjustable glasses can be worn by a user and are convenient to adjust and precise to control.

The invention belongs to an electric power design institute / station new recruit training and management system, and relates to a training and management method for pre-employment electric power design personnel. The electric power design institute / station new recruit training and management system comprises a basic theoretical knowledge module, a rule standardizing module, a software learning module, a field practice module, an excellent design case module, a new technology subject learning module, a training and checking module, a training effect evaluation module. An online training and management system suitable for electric power design institute / station new recruits before post determining is provided, and new electric power design staff can comprehensively master the basic electric power design skills.

The invention relates to a control system of an intelligent wheelchair. The control system comprises a wheelchair motion control subsystem and a man-machine interaction control subsystem. The wheelchair motion control subsystem at least comprises a wheelchair body, and a waist training mechanism of a single-degree-of-freedom six-bar mechanism contained in the wheelchair body can simulate the sitting-down and standing-up tracks of a healthy person so as to exercise the waist of a user. The man-machine interaction control subsystem at least comprises a sensor module, a mobile terminal and a data processing cloud terminal, and the man-machine interaction control subsystem collects training data of the user through the sensor module arranged on the wheelchair body and transmits the training data of the user to the data processing cloud terminal through the mobile terminal via a wireless network for data processing so as to achieve man-machine interaction between the user and the intelligent wheelchair. The control system of the intelligent wheelchair can collect the latest training data of the user constantly and feed back the training speed and training advice in time so as to achieve man-machine interaction.

The invention provides a biotransformation method for efficient synthesis of gamma-aminobutyric acid. According to the technical scheme, Lactobacillus brevis CCTCC M2018462 selected in the early stageis used as a fermentation strain, and abnormally high GABA yield is achieved through the cooperation of the strain, culture medium and culture process. Specifically, the method comprises the following steps: firstly inoculating Lactobacillus brevis CCTCC M2018462 into a seed culture medium with specific components, cultivating in a shaker at a temperature of 30-35 DEG C for 7-9h so that the OD600value of the culture solution reaches 4-6 to obtain a seed culture solution; then inoculating 10% inoculum into a fermentation medium with specific components, standing and culturing at the temperature of 30-35 DEG C for 36-72 h. Therefore, high content of GABA is accelerated in the culture solution. Experimental verification shows that the GABA content in the lactic acid bacteria fermentation broth obtained by the invention is as high as 280-320 g / L, which is the highest level as ever reported. According to the invention, the output of GABA is significantly improved, and a good foundation islaid for large-scale application of lactic acid bacteria fermentation for production of GABA.

The invention innovatively provides a non-contact badminton returning drop point training device based on an interactive projection system and a method for acquiring an accurate rate of a badminton returning drop point, and relates to a badminton returning drop point training device and the method for acquiring the accurate rate of the badminton returning drop point. The badminton returning drop point is indicated by the interactive projection system, so that a badminton player can train the badminton returning drop point on purpose; an on-site environment is simulated, so that the response speed and the flexibility of the badminton player can be effectively improved and the response time of the badminton player can be reduced; and the non-contact badminton returning drop point training device based on the interactive projection system and the method for acquiring the accurate rate of the badminton returning drop point are applicable to the badminton returning drop point training process and the badminton returning drop point training.

The invention discloses an upper limb rehabilitation robot based on binocular vision. The device comprises a mechanical structure, a main control module, a remote control module, a motor module, a limb information collection and processing module, a detection module, a communication module and a power module. Characterized in that the mechanical structure comprises a base assembly, a waist rotaryjoint, a main arm rotary joint, a main arm, a main arm external fixing sleeve, an auxiliary arm rotary joint, an auxiliary arm and an auxiliary arm external fixing sleeve; The main control module is aSTM32 single chip microcomputer; The motor module comprises a direct current deceleration motor and a motor driver; The limb information acquisition and processing module comprises a binocular cameraand a computer; The detection module is a surface myoelectric sensor; The communication module is a SX1278 chip. The surface electromyography sensor communicates with the main control module throughSPI, and the binocular camera communicates with the computer through USB interface. The invention discloses an upper limb rehabilitation robot based on binocular vision.

The invention discloses an artificial intelligence based gobang playing robot which comprises a mechanical system and a control system; the mechanical system comprises a mechanical arm, an air pump and a sucker; the mechanical arm is fixed at the edge of a chessboard; the sucker is fixed at the tail end of the mechanical arm and is connected with the air pump through a conduit to be used for sucking and moving a gobang piece; the control system comprises a host computer and a camera; the host computer is used for receiving an image from the camera, performing image recognition, extracting a piece moving position of a human, obtaining an optimal piece placement position according to an algorithm and sending a command to control the mechanical arm to move the gobang piece. The artificial intelligence based gobang playing robot has the advantages that no special requirement is proposed for the chessboard and the gobang pieces, the structure is simple, and the cost is relatively low; by utilizing the camera to perform image recognition as well as construct and reduce a current game, the recognition accuracy is relatively high; and on the aspect of a gobang playing algorithm, a gobang playing style of a specific player can be simulated through the algorithm learnt by a machine so as to set the intelligence level aiming to the demands of different users, and better training effect isachieved.

The invention discloses a dynamic analysis method for a tennis ball motion locus processing system. The dynamic analysis method comprises the following steps that first, a plurality of cameras are mounted around a tennis court, moving athletes and a moving tennis ball on the tennis court are shot by using the cameras, thus the motion loci of the athletes and the tennis ball are obtained, the obtained motion loci are sent to the processing system for processing, the system analyzes the motion loci, the athletes observe the optimized virtual movements, then targeted training is carried out, thusthe athletes can give up the made mistakes, further, the strength of the athletes is improved, and finally, a good training effect is obtained. According to the method, the monitoring result is analyzed through the system, then the differences between a practical motion curve and the optimal curve of the athletes are obtained, the system obtains the parts needing to be improved of the athletes according to the differences, then the athletes perform targeted training, and further, a good training effect is obtained.

The invention discloses an intelligent body-weight support gait rehabilitation training device and belongs to the technical field of medical rehabilitation equipment. A fixed column is arranged above four quality casters with locking devices through an underframe; a Y-shaped hanging support frame is arranged at the upper end of the fixed column; a pulley clamp and pulleys are mounted on the hanging support frame; motor-driven elevating handrails are arranged on a column body of the fixed column and moves along an elevating guide rail; the fixed column has a cavity structure, and two rope puller lifting motors and a motor-driven handrail lifting motor are arranged in the fixed column; and an intelligent information display, a driving and controlling circuit is arranged in the fixed column. The intelligent body-weight support gait rehabilitation training device has the advantages that gait training for patients with leg weakness, pain, and spasm caused by osteoarthropathy and nervous system diseases can be facilitated; and particularly the strength of unique rope pullers on two sides of the device can be independently adjusted, so that a training effect is quite obvious.

The invention discloses an intelligent upper limb auxiliary motion device which is composed of mechanical ectoskeletons and a power conversion mechanism. Each mechanical ectoskeleton comprises a mechanical arm, an elbow joint control mechanism, a shoulder joint control mechanism, a shoulder shaft and a back plate. The power conversion mechanism comprises a left dimension control hydraulic cylinder, a power convertor and a right dimension control hydraulic cylinder, the left dimension control hydraulic cylinder is connected with the power converter through an oil pipe, and the right dimension control hydraulic cylinder is connected with the power converter through an oil pipe. A hydraulic system is adopted in the intelligent upper limb auxiliary motion device which is simple in structure and high in reliability. The upper limbs of a patient serve as power sources, and no external power supply is needed, so that the intelligent upper limb auxiliary motion device is safe and reliable, and secondary injury risks are avoided. Meanwhile, the intelligent upper limb auxiliary motion device further can be used at home, and therefore, rehabilitation expenditure of the patient is greatly reduced.

The present invention relates to biofeedback training equipment, in particular, it relates to a multifunctional biofeedback training equipment and relaxation directing equipment with automatic prompting and breath simulation function. Said equipment can be extensively used for biofeedback training and relaxation training.

The invention discloses a power distribution network fault rush-repairing process simulation system and an implementation method thereof. The power distribution network fault rush-repairing process simulation system is characterized by comprising a power distribution network fault rush-repairing process simulation module, a power distribution equipment scene simulation module, a power distribution network dispatching workbench simulation module, a power distribution network simulation module, a rush-repairing command workbench simulation module, a rush-repairing team workbench simulation module and a communication service module, wherein the power distribution equipment scene simulation module, the power distribution network dispatching workbench simulation module and the power distribution network simulation module are connected with the power distribution network fault rush-repairing process simulation module through the communication service module for information interaction, and the rush-repairing command workbench simulation module and the rush-repairing team workbench simulation module are connected and in bidirectional communication with the power distribution network fault rush-repairing process simulation module, thereby achieving coordinated operation of the modules.

The invention relates to a multi-media upper limb rehabilitation apparatus. The multi-media upper limb rehabilitation apparatus is characterized by comprising a motor, a manual driving mechanism, a mechanical power-assisted mechanism, a casing, a base and a retractable bracket, wherein the retractable bracket is fixedly connected onto the base; the upper end of the retractable bracket is fixedly connected with the casing; the motor and the mechanical power-assisted mechanism are fixedly connected into the casing; the motor is fixedly connected with the casing through a motor fixing rack; the mechanical power-assisted mechanism comprises a torque limiter and a shell fixedly connected with the torque limiter; a chain is fixedly connected onto the outer circumference of the shell; a chain wheel is in key connection with an output shaft of the motor; the chain wheel and the chain are meshed to constitute the disc type mechanical power-assisted mechanism; the torque limiter and the manual driving mechanism are connected. The multi-media upper limb rehabilitation apparatus has the benefits as follows: a double-control mode is adopted, so that the rehabilitation apparatus can be controlled remotely and manually, and diversified personal setting can be performed better according to different users; the rehabilitation apparatus is matched with multi-media equipment, and a very ideal training effect is realized while the interestingness is kept.

The invention relates to a method and system for facial identification of animals under small sample conditions. The method comprises steps that features of pixels corresponding to each preset coordinate in a to-be-identified animal facial image are extracted, and feature vectors of the to-be-identified animal facial image are obtained according to the features of the pixels corresponding to eachpreset coordinate; the feature vectors of the to-be-identified animal facial image are inputted to a preset classifier, according to the output result of the preset classifier, the identification result of an animal face in the to-be-identified animal facial image is obtained. The method is advantaged in that the original feature vectors are expanded, the classifier is trained through obtaining alarger number of sample feature vectors, the training effect of the preset classifier obtained through the training is better, and accuracy of identifying individual animals in the to-be-identified animal facial image is improved according to the preset classifier in the case of the small sample size.

The invention discloses an integrated pipeline for nuclear power plant human error preventing training and a human factor training system thereof. The integrated pipeline comprises a water tank, a main pipe system and a centrifugal pump protection pipe system. The water tank comprises a water outlet pipe and a water inlet pipe. One end of the main pipe system is connected with the water outlet pipe, and the other end is connected with the water inlet pipe so as to form a loop. The main pipe system comprises a first pipeline, a second pipeline and a standby pipeline which are connected in parallel, and the first pipeline, the second pipeline and the standby pipeline are respectively provided with a first isolating valve, a centrifugal pump, a non-return valve, an electric regulating valve and a second isolating valve which are arranged in turn. The centrifugal pump protection pipe system comprises three protection pipelines. One end of the three protection pipelines is connected with the first pipeline, the second pipeline and the standby pipeline and the connecting points are arranged between the electric regulating valve and the second isolating valve, and the other end of the three protection pipelines is connected with the water tank. The integrated pipeline for nuclear power plant human error preventing training has the advantages of being close to the onsite actual working environment, wide in professional range of training personnel, comprehensive in training level and available in online operation.

The invention discloses a liquid edible fungus strain culture device and a liquid edible fungus strain culture method. The method comprises the following steps of: inserting a test tube for inoculation into a closed bottle plug of a primary fermentation bottle, wherein the test tube for inoculation is bottomless, the bottom of the test tube is provided with a wire net, and a breathable plug is plugged to the mouth of the tube; arranging a tee joint on a connecting tube for connecting the primary fermentation bottle and a secondary fermentation tank liquid medium inlet / outlet tube; and inoculating strains to the test tube into which the primary fermentation bottle plug is inserted, culturing sawdust strains in the test tube for inoculation, unplugging the cotton plug at the mouth of the test tube for inoculation after a large amount of young mycelia are grown, poking the sawdust strains into the primary fermentation bottle, closing the mouth of the test tube for inoculation when a large quantity of mycelium pellets appear in the bottle, pressing primary liquid seeds into a secondary fermentation tank, culturing for two to three days, and thus culturing the strains in the secondary fermentation tank successfully. A large quantity of primary liquid strains are cultured, the culture effect is extremely good, the success rate in the device is further higher than that in similar equipment at home and abroad, and the device has low price.

The invention innovatively provides a method for acquiring a football shooting success rate of a non-contact football shoot training device based on an interactive projection system, and relates to a football shoot training device and the method for acquiring the football shooting success rate and aiming to adapting to football shoot training. A football shoot area is indicated by the interactive projection system to train a football player to master a spontaneous change in the shooting process, so that the shooting consciousness of the football player is improved and the change seizing capability of the football player is improved; and the non-contact football shoot training device based on the interactive projection system and the method for acquiring the football shooting success rate are applicable to football shoot training.

The invention belongs to the technical field of biology and particularly relates to a tissue-culture rapid propagation method of cymbidium. The method comprises the following steps: (1) induction and formation of protocorm of the cymbidium, wherein a culture base material is composed of 40% of pine barks and 60% of a culture medium and the culture medium is a 1 / 2MS basic culture medium; (2) multiplication culture of the protocorm of the cymbidium, wherein a culture base material is composed of 40% of pine barks and 60% of a culture medium and the culture medium is composed of 1 / 2MS, 1.0-2.0mg / L 6-BA, 0.3-0.8mg / L NNA, 0.3-0.8mg / L KT and 50g / L CW; (3) differentiation and strong seedling rooting of the protocorm of the cymbidium, wherein a culture base material is composed of 40% of pine barks and 60% of a culture medium and the culture medium is composed of 1 / 2MS, 0.5-1.2mg / L 6-BA, 0.1-0.3mg / L NNA and 100g / L PJ; and (4) domestication and transplanting of a cymbidium test tube seedling. According to the tissue-culture rapid propagation method of cymbidium, a cheap and efficient tissue-culture rapid propagation system of cymbidium is established.