150results about How to "Avoid individual differences" patented technology

The invention discloses micro ribonucleic acids (microRNA, miRNA) carried by cell microparticles (Microparticle, MP), a method for preparing the same, and application thereof in the technical field of biotechnological pharmacy. The invention provides a combination of the micro ribonucleic acids for evaluating the physiological and / or pathological states of a participant, and the combination contains all the micro ribonucleic acids which exist stably in serum / plasma particles of the participant and are detectable. At the same time, the invention provides an experimental method for preparing the cell microparticles containing specific micro ribonucleic acids and using the cell microparticles to perform gene-level regulation and control as well as modification on other cells and tissues. The combination and the method can be used for detecting and treating various diseases, including the aspects of the diagnosis and the differential diagnosis of various tumors, various acute and chronic infectious diseases and other acute and chronic diseases, the prediction and the curative effect evaluation of the occurrences of disease complications and the recurrences of malignant diseases, as well as the active ingredient screening, the efficacy evaluation and the judicial authentication of drugs, the detection of prohibited drugs and the like; besides, the combination and the method have the advantages of wide detection pedigree, high sensitivity, low detection cost, convenient available material, easy storage of samples and the like.

The invention discloses holographic intelligent glasses, comprising a main structural unit and a structure adjusting unit, wherein an optical unit for imaging and a displaying unit for displaying the formed image are arranged in the interior of the main structural unit; and the structure adjusting unit is used for adjusting the optical unit and / or the displaying unit to adapt to pupil distance and diopter of eyes of a user. By adopting the holographic intelligent glasses, different users can view clear images through the holographic intelligent glasses, an effectively solution is provided for individual differences of the users, the intelligent degree of the holographic intelligent glasses is further improved, the holographic intelligent glasses can provide users with complete holographic experience, and improve the user experience.

The invention relates to the technical field of automatic biochemical analysis equipment and discloses a full-automatic chemiluminescence immunity analyzer. The full-automatic chemiluminescence immunity analyzer comprises a rack, an analysis part and a control part, wherein the analysis part comprises a transferring system, a sampling system, an incubating system, a cleaning system and an optical detection system; the transferring system comprises an automatic cup feeding mechanism and a grabbing mechanism; the sampling system comprises a sample dispatching mechanism, a reagent disc mechanism and a sample adding mechanism; the incubating system comprises an incubating disc mechanism and a mixing mechanism; the cleaning system comprises a cleaning disc mechanism; the optical detection system comprises a light-detecting disc mechanism and a lighting mechanism. The full-automatic chemiluminescence immunity analyzer disclosed by the invention has the advantages that the control part controls the transferring system, the sampling system, the incubating system, the cleaning system and the optical detection system to work automatically, so that automation in the whole process of analysis operation is achieved, the uncertain problems such as individual difference, artificial errors, irregular operation and the like in manual operation are avoided, and the accuracy of chemiluminescence immunity analysis is improved.

The invention discloses a controlling method of an air conditioner. The controlling method comprises the following steps that temperature near a human body of a user, humidity near the human body of the user, clothing thermal resistance, the human metabolic rate, the air speed near the human body of the user and ambient radiation temperature in the environment where the air conditioner is locatedare acquired; the comfortable degree of the human body is calculated according to the clothing thermal resistance, the human metabolic rate, the temperature near the human body, the humidity near thehuman body, the air speed near the human body and the ambient radiation temperature; and operation of the air conditioner is controlled according to the comfortable degree of the human body. The invention also discloses the air conditioner. The operation of the air conditioner is controlled according to the accurately calculated comfortable degree of the human body, maintenance of the better comfortable degree of the human body of the user is guaranteed and applicability of the air conditioner is improved.

The invention belongs to the technical field of biomedical engineering and relates to a cuff-free noninvasive long-time continuous blood pressure monitoring method. The method includes: acquiring physiological and pathological characteristic parameters through an electrocardiosignal and photoplethysmography signal monitoring subsystem connected with a computer; subjecting the parameters to seamless fusion and processing analysis through a blood pressure noninvasive dynamic monitoring model cluster and a blood pressure dynamic long-time monitoring software subsystem to obtain a blood pressure value of each heart beat and realize dynamic long-time continuous blood pressure monitoring. Starting from cuff-free blood pressure measurement, the blood pressure noninvasive dynamic monitoring modelcluster is constructed according to the patient's physiological and pathological characteristic parameters monitored by the signal monitoring subsystem on the basis of a patient individual difference-characteristic parameter average influence value-machine learning method, and accordingly a model self-correction function of the system in blood pressure long-time continuous measurement is achieved.By adoption of the method, monitoring precision and stability in blood pressure long-time measurement are improved, and continuous beats or long-time measurement of the blood pressure are realized, so that an effective foundation can be laid for hypertension prevention and treatment.

The present invention relates to a method for measuring a coefficient of friction by which a coefficient of static friction and a coefficient of dynamic friction at such places utilized by people as the paved surfaces of sidewalks, promenades, or amusement parks, or the floor surfaces of buildings, gymnasium and the like. Then, it is the object of the present invention to provide a method for measuring a coefficient of friction by which a coefficient of friction, that is, a coefficient of static friction and a coefficient of dynamic friction at low speeds, between a walking person and a floor surface. For this object, according to the present invention, a device including a measuring device body (A) and a controller (B) is used. In the measuring device body (A), a friction measuring part (1) and a driving part (2) are supported by a holder (4) mounted on the base frame (3) of the measuring device body (A), an actuator (5) is provided for moving up and down the holder (4), a driving disc (12) having large inertia is fixed to a driving shaft (11), further, a disc (13) having small inertia is rotatably mounted on the driving shaft (11), the driving disc (12) is connected to the disc (13) by a balance spring (14), a contact body (19) for measuring a coefficient of friction is mounted on the disc (13), and there are provided a displacement gage (15) for detecting the displacement of the balance spring (14) and a tachometer (24) for detecting the rotational speed of the driving disc (12). Then, the controller (B) drives a motor (21) in a state where the contact body (19) is in contact with a surface (G) to be measured and receives the rotation signal of the tachometer (24) and the displacement signal of the displacement gage (15) to compute the coefficient of static friction and the coefficient of dynamic friction.

The invention discloses a bone age assessment method, which is characterized by comprising the steps of A, acquiring X-ray images of a plurality of target bone parts, and grading the acquired X-ray images according to the age group; B, performing feature extraction on a plurality of X-ray images in each grade, converting each grade of X-ray images into data by using a directional gradient histogram feature method, and building a mathematical model; and C, classifying the X-ray images in which the bone age is required to be assessed into the above grades by using a support vector machine classification algorithm. According to the bone age assessment method disclosed by the invention, an image processing technology and a computer vision technology are combined, and judgment for the bone maturity is realized through an interactive or automatic method.

The invention provides an ECG signal processing method. ECG signals can be analyzed from a plurality of time-frequency resolutions, and SB-LSTM and TD-CNN are separately utilized to mines the overallfluctuation pattern and local fluctuation pattern of signals from ECG sub-layer signals, and a Sum Rule is finally used for fusing the intermediate classification results of each ECG sub-layer to obtain more accurate and robust classification results. The ECG signal processing method avoids individual differences and intra-individual differences caused by manual classification, and can obtain thestable classification results; and in addition, the ECG signal processing method does not need any expert knowledge, does not need to manually design various features, does not need to perform featureselection processing, does not need to separately construct classifiers, is a typical end-to-end method, and has the characteristics of convenient use, high classification accuracy and the like.

The invention discloses an integrated multiple-branch interventional aorta arch covered stent. The covered stent is of a crank-shaped structure and comprises a front arch zone, an arch portion zone and a rear arch zone. The front arch zone is formed by a section of tubular covering membrane extending along one end of the stent, the covering membrane extends from the tail end of the front arch zone in an arched-bent mode to form the arch portion zone, and the covering membrane continuously extends from the tail end of the arch portion zone to form the rear arch zone. The greater-curvature side of the arch portion zone is an ellipsoidal protrusion, a fixed branch matched with the brachiocephalic trunk of a human body is arranged on the protrusion, and two holes matched with the left common carotid artery and left subclavian artery are sequentially formed in one side of the fixed branch. Multiple rows of metal frames for supporting the covering membrane and the fixed branch are arranged in the covering membrane and the fixed branch in a lined mode. The integrated multiple-branch interventional aorta arch covered stent has the advantages of being capable of conforming to the characteristics of the aorta arch portion of human anatomy, completely covering the aorta arch of the human body by utilizing different models of main body supports and movable branched stents in a combined mode and having aortic artery protection and continuous angiectasis and angiorrhexis prevention effects.

The invention provides a near infrared spectrum noninvasive blood glucose detecting method and a detecting network model training method thereof. The method comprises the following steps: training by using near infrared spectrum data and invasive blood glucose concentration data corresponding to the near infrared spectrum data to obtain a plurality of artificial neural networks; selecting two preferable artificial neural networks as basic structures; on that basis, optimizing weight coefficients of the two artificial neural networks by using a particle swarm algorithm to obtain a detecting network model; and adjusting the contribution ratio of the two artificial neural networks in the detecting network model by using the weight coefficients to overcome difference of the physiological law of a single individual every day and individual difference. When the obtained detecting network model is used for implementing near infrared spectrum noninvasive blood glucose detection, only near infrared spectrum data of blood glucose of an individual object to be detected need to be acquired, and then a near infrared spectrum noninvasive blood glucose detecting result is obtained. The detecting network model which is used for implementing the near infrared spectrum noninvasive blood glucose detection has high detecting precision, and can meet requirements of clinical application well.

The invention discloses a numerical control acupuncture simulation manual therapeutical instrument which comprises a needle clamping mechanism, an insertion component, a rotating component and a control system for controlling the insertion component to complete insertion motions and controlling the rotating component to complete rotating motions. The numerical control acupuncture simulation manual therapeutical instrument further comprises an ejection mechanism for ejecting an acupuncture needle to penetrate in an acupuncture point. On the basis that a rotating and inserting mechanism is arranged, the ejection mechanism is additionally arranged, and the needle is aligned to the acupuncture point to be ejected during the acupuncture process, thus painless needle inserting is realized; and moreover, needle inserting and subsequent therapies are comprehensively simulated to realize conventional acupuncture manipulation, problems of poor curative effect and low efficiency which are caused by inexperienced operators can be avoided, and the stimulation amount of acupuncture manipulation can be unified and standardized, so that acupuncture gradually tends to accurate quantitative indexes, and the individual difference of manual operation is avoided, thus the personal error of an acupuncture clinical research treatment result is eliminated; and when being used, the acupuncture simulation manual therapeutical head stimulates the manipulation of known specialists, realizes intelligent simulation, is convenient and simple, and is high in therapeutical efficiency.

A manufacturing method of a semiconductor device is disclosed. The manufacturing method includes a first step that mounts plural semiconductor elements on a first substrate, a second step that inspects each of the semiconductor elements mounted on the first substrate, a third step that divides the first substrate by dicing so that a divided first substrate includes at least one semiconductor element, and a fourth step that mounts the divided first substrate in which at least one semiconductor element is mounted on a second substrate.

The invention relates to a myoelectricity continuous decoding method for the man-machine natural driving angle of a prosthetic wrist joint. According to the method, a disabled person can imagine a missing hand thereof to do the wrist joint motion of the same angle with that of a healthy hand. At this time, the surface electromyogram signal of the residual limb forearm of the disabled person and the uninjured-side wrist joint movement angle of the disabled person are collected. In this way, a man-machine natural driving angle model of a surface electromyogram signal continuously-decoded prosthetic wrist joint can be established. The method is simple to operate and high in accuracy. A three-dimensional motion capturing system can be high in resolution and high in capturing frequency at the same time. Based on the method, a calculated joint angle is high in accuracy. Compared with a conventional wearing type angle sensor, the compression type interference cannot be caused to surface electromyographic signals. An interface which performs synchronous collection with an electromyography is provided, so that the simultaneous collection of three-dimensional motion capture angles and surface electromyographic signals is realized.In addition, the sampling frequency of the electromyography is 2048 Hz, and the surface change situation of electromyogram signals can be collected in real time.

The invention relates to a capacitance sensing system for human body motion modal identification. The capacitance sensing system is characterized by comprising two capacitive rings, a driving unit, a signal processing unit and a host computer, wherein the capacitive rings are arranged at the thigh and the shank of a human body respectively; each capacitive ring is composed of an emission electrode, a plurality of receiving electrodes and a thermoplastic ring; the emission electrode and each receiving electrode are arranged at the inner side of the thermoplastic ring at intervals; a main circuit is formed by the driving unit and the signal processing unit; the emission electrodes of the two capacitive rings are connected with the driving unit; an alternative current sine wave signal output by the driving unit is used as the excitation source of the emission electrodes; each receiving electrode of the two capacitive rings is connected with a voltage divider resistor so as to form a series loop; and a voltage dividing signal on the voltage divider resistor is put into the signal processing unit to be converted into digital quantity, and subsequently is input into the host computer so as to accomplish the identification of various motion modals of the human body. The capacitance sensing system is small in time delay, low in cost and wearable; and the capacitance sensing system can be used in the field of intelligent limb control widely.

The invention provides a method, device and TCU for controlling a shifting rotation speed. The method comprises the steps that the TCU detects a running mode of a vehicle; when the vehicle runs under a pure motor mode, the TCU will send out a shifting instruction to control a clutch to start working if the speed of the vehicle reaches a shifting point; when work of the clutch is found to satisfy preset conditions, the TCU will reduce the clutch transmission torque corresponding to the current shift and increase the clutch transmission torque corresponding to a shift obtained after the shifting; and when the clutch transmission torque corresponding to the current shift is reduced to a first preset threshold value, the TCU will send out a rotation speed request signal to let an HCU adjust the motor rotation speed to be consistent with the rotation speed of a transmission input shaft corresponding to the shift obtained after the shifting. By the scheme, shifting duration can be reduced.

The invention discloses a method and a device for sorting wood according to colors and wood grains. The method comprises the following steps of: establishing categorical data, collecting wood images, confirming wood categories, starting sorting devices, and the like. The device comprises a wood conveying belt, a wood video imaging device, a plurality of wood sorting devices and a program control system, wherein the video imaging device is arranged at the beginning end of the wood conveying belt, the plurality of wood sorting device are arranged at the lateral side of the wood conveying belt at the downstream of the video imaging device in an equidistance way, and the video imaging device and the plurality of wood sorting devices are respectively in circuit connection with the program control system. The invention has accurate sorting and high working efficiency and avoids the individual difference and the inconsistency of manual sorting.

The invention discloses head-mounted holographic intelligent glasses, comprising a head-mounted unit and a main structural unit, wherein the head-mounted unit is used for wearing the head-mounted holographic intelligent glasses on the head of a user; the main structural unit is connected with the head-mounted unit and arranged in front of eyes of the user; an optical unit for imaging and a displaying unit for displaying the formed image are arranged in the interior of the main structural unit; a structure adjusting unit used for adjusting the optical unit and / or the displaying unit to adapt to pupil distance and diopter of eyes of the user is arranged on the main structural unit; a first sensing unit used for sending body movements and facial muscle movements of the user is arranged below the main structural unit; and the display unit is used for changing display method and content according to the body movements and / or facial muscle movements of the user sensed by the first sensing unit. The head-mounted holographic intelligent glasses can adapt to habits or requirements of the user, provide an effectively solution for individual differences of the users, and improve the user experience.

The invention discloses a three-dimensional display visual fatigue evaluation system and method based on electrocatdiogram and electrooculogram signals. The system comprises a three-dimensional display device, a subjective visual fatigue continuous scoring device, a physiological signal measurement device and a data processing unit, wherein the subjective visual fatigue continuous scoring device is used for collecting a user visual fatigue score value SS when the user watches three-dimensional display resources on the three-dimensional display device; the physiological signal measurement device is used for collecting ECG and EOG when the user watches three-dimensional display resources on the three-dimensional display device; and the data processing unit is used for calculating physiological feature data of the user according to the collected ECG and EOG, modeling according to the physiological feature data and the SS to obtain a three-dimensional visual fatigue prediction model, and evaluating the visual fatigue data of target three-dimensional display resources to the user i according to the physiological feature data when the user i watches the three-dimensional display resources and the three-dimensional visual fatigue prediction model.

A method and apparatus for determining that pose of a camera and an electronic device are disclosed. The method for determining that pose of a camera may include determining a plurality of first pixelpoints having a preset semantics in a current frame image captured by the camera; Determining a plurality of second pixel points having preset semantics in a previous frame image preceding the current frame image, wherein the plurality of first pixel points correspond to at least a portion of the plurality of second pixel points; Determining an error between the plurality of first pixel points and the plurality of second pixel points, the error comprising a semantic error; Determining a camera pose change value of the current frame image relative to the previous frame image based on the error; And determining the camera posture corresponding to the current frame image based on the camera posture corresponding to the previous frame image and the camera posture change value of the current frame image relative to the previous frame image. The camera pose determination method according to the embodiment of the present application can be calculated directly on the semantic segmentation result, thereby avoiding the influence of individual differences between cameras.

The invention relates to a method for testing the efficacy of a hog cholera lapinized virus live vaccine, which comprises the following technical steps of: (1) establishing the method for testing the virus titer of the hog cholera lapinized virus live vaccine; (2) certifying the quantitative relationship between the virus titer and the rabbit test or the pig test through an experiment; and (3) performing in-vitro efficacy test and result determination on the vaccine by using the quantitative relationship. The method avoids the rabbit test or the pig test adopted by the conventional method fortesting the efficacy of the hog cholera lapinized virus live vaccine, and has the characteristics of avoiding the influence of animal species and individual difference, improving the accuracy of the efficacy test result, shortening the test time, reducing labor intensity and test cost and the like.

The invention discloses an esophageal manometry marker identification system, electronic equipment and a storage medium. The system comprises an acquiring module; a tranquillization frame marker identification module, a UES channel relaxation marker determining module and a swallow wave marker determining module, wherein the acquiring module is used for acquiring a tranquillization frame pressurecloud picture and a swallow frame cloud picture; the tranquillization frame marker identification module is used for determining UES and LES positions according to the tranquillization frame pressurecloud picture and determining LES upper edge and lower edge positions according to the intersection points of the interpolation curve of the pressure sum of breathing last moments and a mid-value straight line; the UES channel relaxation marker determining module is used for determining the lowest point of UES relaxation and determining the starting and ending positions of UES relaxation accordingto the intersection points of the interpolation curve of the pressure of the UES channel and a second datum line and a third datum line; the swallow wave marker determining module is used for determining the pressure wave highest point of a target channel and determining the peak type and swallow wave starting and ending positions of the target channel according to the intersection points of theinterpolation curve of the pressure of the target channel and a fourth datum line. The esophageal manometry marker identification system is high in identification accuracy.

The invention provides a cooperative control device of a distributed photovoltaic grid-connected generation system. The device is composed of a single centralized grid-connected inverter and the common direct current bus of a number of MPPT combiner boxes. A voltage coding module is added in a centralized grid-connected inverter. The voltage coding module is located on the common direct current bus on the single centralized grid-connected inverter side. One end is connected with the direct current bus, and the other end is connected with a number of MPPT combiner boxes. Each MPPT combiner box is added with a voltage decoding module, and the voltage decoding module is located on the direct current bus on the combiner box side. A number of voltage decoding modules are correspondingly connected with a voltage coding module. The voltage coding module outputs the common direct current bus voltage reference value for adjusting the inverter to the inverter CPU according to the current instruction of the centralized grid-connected inverter. The voltage change of the common direct current bus is controlled, and the adjustment instruction is transmitted to the MPPT combiner boxes in the form of voltage. The voltage decoding modules identify the issued dispatch instruction according to the voltage of the direct current bus of the combiner boxes and output a control instruction, and the combiner boxes execute the control instruction.

The invention belongs to the technical field of immunoassays, and in particular relates to a rapid diagnostic reagent for mild to moderate brain damage, a kit containing the reagent, and methods for preparing and detecting the kit. The reagent and the kit include monoclonal capture antibodies prepared by S100, GFAP, and UCHL1 respectively; the kit also includes detection antibodies, polyclonal antibodies prepared by S100, GFAP, and UCHL1 respectively. The beneficial effects of the present invention are as follows: it can comprehensively detect mild and moderate brain damage, can better judge the physiological and structural changes after brain damage, better carry out differential diagnosis on patients with moderate and mild brain damage, and has high sensitivity and accuracy Strong features, its sensitivity and accuracy are above 96%.

The invention discloses a factory-like procambarus clarkii breeding method which is applied to a breeding system. The breeding system comprises a breeding area, a plurality of separation nets are arranged in the breeding area, and the breeding area is divided into a plurality of breeding spaces by the separation nets. The breeding method includes the steps: placing procambarus clarkii parents intothe breeding spaces according to the male and female proportion of 1:1; breeding mated ovigerous females in the breeding spaces in a temperature control manner; hatching shrimp eggs: separating shrimp seeds from the females and hatching the shrimp seeds into juvenile shrimps in a temperature control manner according to a first mode; washing the shrimp eggs growing to be orange, placing the separated shrimp eggs into a hatching barrel at the temperature of 9-12 DEG C and preserving the separated shrimp eggs according to a second mode; taking out the separation nets and seed shrimps after the shrimp seeds are hatched; breeding the juvenile shrimps until the juvenile shrimps grow into 3-4cm long procambarus clarkii. The breeding speed of the procambarus clarkii can be controlled, so that synchronism of the shrimp seeds is guaranteed, and individual difference caused by different growth speeds of the same batch of shrimp seeds is avoided.

The invention provides a battery information detection control method, an intelligent battery and a terminal. The method comprises the following steps: detecting the capacity information of the battery; detecting the electric quantity information of the battery in real time in the battery charging process according to the battery capacity information; and sending the battery electric quantity information and the battery capacity information to the terminal. The battery information detection control method overcomes the individual difference among different batteries, provides electric quantity and battery protection for the battery to control, allows self integration control of the battery to be carried out in order to realize real-time calibration of the capacity of the battery and timely update the battery electric quantity, and sends the detection result to the terminal. When abnormal conditions of the battery appear, battery charging is timely cut if timely stopping of charging is not carried out by the terminal.

The invention discloses an ore machine vision recognition device based on visible light or infrared rays and relates to the technical field of ore machine vision recognition. Two photoelectric sensors with a same structure are symmetrically arranged on the left side and right side of the top of the inner cavity of the device. The bottom of an installation plate is connected to a high speed camera through an installation support. The invention also provides an ore machine vision recognition method. The method comprises the following steps: step one, adjusting the image capturing angle; step two, collecting the images and delivering the images to a controller; and step three, analyzing the collected images by the controller. The provided device and method are used to recognize and sort ores in industrial production, have the characteristics of quickness, large information amount, many functions, and high efficiency, avoid the subjectivity and individual difference in artificial detection, can well replace humans, can do the work that cannot be done by humans, reduce the work labor, and improve the product quality and production efficiency.

The invention provides a technique for eliminating vertical parallax of multi-viewpoint stereo image. The technique comprises the steps of putting a reference flat plate with a rectangle pattern in a photographing scene, using a camera array to photograph the reference flat plate and calibrating four vertexes of the rectangle, calculating the coordinate mapping relationship of the same object point corresponding to different image photographing points one point by one point according to the four vertexes of the rectangle photographed by each camera, then moving the reference flat plate away and photographing other scenes by the camera array, rearranging the pixel of the image photographed by each camera according to the coordinate mapping relationship, so as to obtain the image of each viewpoint with vertical parallax eliminated. The technique is also used for multi-viewpoint free stereo display.

The invention provides an ECG signal analysis method aiming at abnormal heart rhythm classification. A long-term dependency relationship and local features of signals can be mined from ECG signals bySB-LSTM and TD-CNN; fine adjustment of the long-term dependency relationship and local features can be realized through designed TAG, FAM and LAM, and accordingly an accurate ECG integral fluctuationmode and a local fluctuation mode can be obtained; finally, an ECG signal processing result is obtained by FCN. The method has advantages that by complete combination of integral fluctuation mode andlocal fluctuation mode information of the ECG signals, great usability in a large-scale data set is achieved; in addition, inter-individual differences and intra-individual differences resulted from manual classification are avoided, and a stable classification result can be obtained; especially, the method is free of assistance of any expert knowledge, avoids manual design of various features, feature selection treatment and individual classifier construction and is a typical end-to-end method, and the method has advantages of convenience and quickness in use, high classification precision and the like.

The invention provides a virtual reality character display method and device and virtual reality equipment. The method comprises the following steps: receiving text information; determining the font size of the text information according to the degree pixel PPDVR equipment of the virtual reality VR equipment, the degree pixel PPD human eyes of the user eyes, the distance information between the text information in the VR and the user eyes and the correction value; rendering the text information according to the font size of the text information; and displaying the rendered text information. According to the pseudo-reality character display method provided by the invention, the problem of unclear character display in the current virtual reality environment can be solved, and the method canbe directly applied to various virtual reality platforms. Meanwhile, the problem that developers cannot quickly obtain various comfortable and readable font heights under different virtual environmentdistances in different VR devices in the virtual environment is solved. The user experience is improved and the development cost is reduced.