1382results about How to "High utility value" patented technology

The invention belongs to but not limited to the technical field of emotion recognition, and discloses a multi-modal classroom emotion recognition method and system based on modal adaptive learning, and the method comprises the steps: building a multi-modal data collection system, collecting the multi-modal data, such as texts, audios and videos, in a classroom teaching process in real time, and carrying out the real-time collection of the multi-modal data; and preprocessing and feature extraction are carried out on data of different modes. For emotion expression feature differences of different classroom scenes, a multi-modal data fusion method based on adaptive modal scoring (AMS) is provided, and a time sequence modeling and emotion classification model is constructed. The multi-modal fusion and time sequence modeling mechanism simulates the multi-dimensional perception of the teacher on the emotional states of the students in the class, and enhances the interpretability of the emotion recognition system. According to the system, weighted fusion is carried out on data features from texts, audios and videos through fusion of multi-modal data, and complete emotion feature representation is formed.

The invention relates to the technical field of cable manufacturing, in particular to a wire drawing machine for cable manufacturing and a using method thereof.The wire drawing machine for cable manufacturing comprises a wire drawing machine body, a first stretching rotating roller, a second stretching rotating roller, a fixing box and a mold frame, and a control box body is fixedly installed on one side of the top of the wire drawing machine body through bolts; a first stretching rotating roller and a second stretching rotating roller are rotationally connected to the two ends of one side of the bottom of the control box body on the wire drawing machine body, a mold frame is fixedly installed at the center between the first stretching rotating roller and the second stretching rotating roller on the wire drawing machine body through bolts, and a plurality of wire drawing molds are installed in the mold frame in a staggered mode through bolts. The cleaning brush on the base ring cleans cable wires through rotating connection of the friction rolling wheels, cleaned metal powder and wire drawing lubricating liquid containing impurities enter the collecting box to be collected, adsorption cleaning is conducted through the movable magnet, the cleanliness of the lubricating liquid is improved, the subsequent processing quality of the cable wires is improved, and the service life of the cable wires is prolonged. The practical value is high.

The invention discloses an automatic driving target detection method based on improved RT-DETR, and relates to the technical field of target detection and automatic driving, and the method comprises the steps: obtaining a disclosed automatic driving target detection data set SODA10M; a backbone network of an FSSD-DETR algorithm is constructed, and a BaseBlock optimization feature extraction process in a P5 layer is replaced with an FDC module; a small target detection layer is introduced into the neck network of the RT-DETR algorithm to improve the detection performance of a remote small target; a neck network of an FSSD-DETR algorithm is constructed, and a Zoomcat module and a ScalSeq module are used to optimize a feature fusion process; an up-sampling operator of the FSSD-DETR algorithm is constructed, and a DySample up-sampling operator is used to replace a nearest neighbor interpolation method so as to improve the image quality; therefore, good performance is maintained when complex traffic scenes such as small targets, dense vehicles and shielding are processed.

The invention relates to an MPRFS-based method for evaluating the efficiency of a gas-powder two-phase explosion suppressant in suppressing gas and coal dust explosion, and belongs to the technical field of coal mine underground gas and coal dust explosion protection. The method comprises the following steps: constructing a mathematical model for inhibiting gas and coal dust explosion by the gas-powder two-phase explosion suppressant; determining initial conditions, boundary conditions and input parameters of the numerical model; establishing a three-dimensional physical model of the explosion container; constructing a simulation calculation grid and a gas, coal dust and gas powder two-phase explosion suppressant distribution domain; creating a thermodynamic file and a reaction kinetics file of gas and coal dust composite explosion and explosion suppressant decomposition; developing a CFD (Computational Fluid Dynamics) numerical simulation solver and an OpenFOAM-Cantera coupling interface; solving a numerical model and correcting the model; and evaluating the explosion suppression efficiency of the gas-powder two-phase explosion suppressant. The method can effectively evaluate the inhibition effects of different gas-powder two-phase explosion suppressants in gas and coal dust explosion.

The invention provides a sewer internal defect detection method and system based on YOLOv11 improvement, and the method achieves the dynamic weight fusion of multi-level features through a self-adaptive feature fusion module, and improves the detection capability of a model for small targets and complex backgrounds. The selectivity of channel characteristics is improved through an SENet attention mechanism, and background interference is reduced; and introducing an MPDIOU loss function to improve bounding box regression loss. The performance of the improved model in detection tasks of sewer defects such as cracks, obstacles, corrosion, deformation and the like is remarkably superior to that of original YOLOv11, and particularly key indexes such as mAP50 (average precision), Box precision (P), recall rate (R) and the like are remarkably improved. According to the invention, efficient and accurate detection of multiple types of defects in the sewer can be realized, and a better solution is provided for maintenance and management of the sewer.

The invention relates to the technical field of sodium-ion battery fault diagnosis, in particular to a sodium-ion battery thermal runaway monitoring method based on multi-parameter grading early warning, which induces thermal runaway of a sodium-ion battery by performing an overcharge experiment under different charging multiplying powers. An explosion-proof box, a strain sensor, a temperature sensor and a gas concentration sensor are used for monitoring the state of the battery in real time to ensure that the experiment is carried out safely; acquiring, recording and acquiring voltage, temperature, strain and gas concentration data of the sodium ion battery in the thermal runaway process in real time through corresponding sensors; the method has the beneficial effects that a multi-parameter grading early warning method is integrated into the battery management system (BMS), so that the method has very high practical value, the BMS can monitor each parameter in the battery pack in real time, compare the parameters with a preset threshold value and automatically trigger an early warning signal, and the automation level and the response speed of early warning are improved.

The invention discloses a method for quickly identifying the sex of a hatching egg by using an optical sensor. According to the method, an optical sensor mainly composed of a plurality of sensing units is placed in the environment near the hatching eggs for reaction, or the sensor is used for reacting with collected hatching egg gas, and then optical signal changes before and after the sensing units are placed are collected for processing and analysis to obtain the sex of the hatching eggs. Each sensing unit comprises a gas-sensitive material capable of generating optical response with gas, the gas-sensitive material is prepared into a solution, the solution is ultrasonically dispersed or dissolved and then fixed on a substrate to obtain the sensing units, and a plurality of sensing units are distributed to form the array type optical sensor. The method provided by the invention overcomes the defects of late identification and damage of the existing hatching egg sex identification method, and successfully carries out early lossless determination on the poultry hatching egg sex.

The invention discloses a double-resonant-cavity Q-switched laser, two resonant cavities which share a laser crystal and a Q-switched switch but have different cavity lengths are formed through a rotatable half-wave plate, and the polarization state of light is changed by rotating the half-wave plate, so that the light is converted between the two resonant cavities; under the condition that a gain medium or a device structure is not changed, half-wave plate rotation is provided, and pulse width conversion can be simply achieved.

The invention relates to a composite coating based on modified polyaspartic acid ester, a terrace system and a construction method of the terrace system, and belongs to the technical field of terrace coatings. The composite coating provided by the invention comprises a bottom layer coating, a middle layer coating and a surface layer coating, the prime paint comprises the following components: specific organic silicon modified polyaspartic acid ester prime coat resin; the component of the middle-layer coating comprises specific polyaspartic acid ester floating coat resin; and the component of the surface layer coating comprises specific imide modified polyaspartic acid ester surface coating resin. The invention also provides a terrace system formed after construction of the composite coating, the terrace system has the advantages of crack resistance, compression resistance, moisture resistance, skid resistance, high adhesion, high strength, high wear resistance, yellowing resistance, long service life and the like, does not contain a solvent, avoids environmental pollution caused by volatilization, can keep excellent performance for a long time when being used for outdoor pavements, and has a wide application prospect. The problems of poor applicability, bubbling cracking, yellowing and the like of the existing floor coating in an outdoor severe environment are solved, the application range is wide, and the application value is high.

The invention belongs to the technical field of coal bed gas exploitation fracturing control, and particularly discloses a coal bed gas exploitation staged fracturing intelligent monitoring control system which collects rock samples from a target coal bed, conducts microstructure detection on the collected rock samples, removes the rock samples with natural fractures, and obtains the coal bed gas exploitation staged fracturing intelligent monitoring control system. Then a servo motor is used for applying the same stress in different directions to the rock sample for fracturing simulation, crack propagation monitoring is conducted after fracturing simulation, and therefore the crack propagation direction of the rock sample is associated with the stress applying direction to obtain crack propagation dominant microstructure distribution characteristics corresponding to the rock sample; the understanding of the crack propagation mechanism is deepened to the greatest extent, the definition of the crack propagation direction is increased, the crack propagation effect is optimized when fracturing operation is carried out in the coal seam without natural cracks, and the accuracy and effectiveness of fracturing are improved.

The invention discloses a mechanical arm end effector for wind power operation and maintenance and a positioning obstacle avoidance operation method, which are integrated with operation environment space sensing data and relying on a designed motion function structure and a positioning obstacle avoidance operation process of the mechanical arm end effector for hot-line work. The whole process of operation position obstacle avoidance safe arrival, insulation protection shell sleeve clamping installation and obstacle avoidance safe exit of a lap joint drainage wire hot-line working point is completed, and the working function coverage range of an existing robot application scene can be expanded.

The invention relates to the technical field of hollow part production, and discloses a metal-plastic composite car lamp frame shell integrated injection molding device which comprises an injection molding machine, a movable mold and a fixed mold are installed in the injection molding machine, an external manipulator and an external cooling module are installed outside the injection molding machine, and two fixing holes are symmetrically formed in the outer surface of the movable mold; an injection molding assembly is arranged in the injection molding machine, the injection molding assembly comprises not less than two metal pipes and not less than four extension pipes, and in the cooling process, the metal pipes are cooled from inside to outside based on the physical characteristics of the metal pipes; by means of the cooling mode, the middle of the molding material is cooled and shrunk firstly, the situation that the outer layer is solidified firstly due to the fact that cooling is conducted from the outside to the inside of the cavity traditionally is changed, when the internal material is cooled and shrunk, limitation of the solidified outer layer material is avoided, and therefore the problem that cavities are generated due to inconsistent shrinkage is effectively prevented.

The invention provides a model construction method and system for predicting enterprise financial data, and relates to the technical field of data scientificity, the cost-income ratio, gross profit rate, profit conversion rate and free cash flow ratio of an enterprise are calculated by extracting financial data of the enterprise in the quarter of the last year, and then a financial health index is generated; calculating an income change rate and an average profit rate of the industry in combination with historical financial data of other enterprises in the industry, generating a financial correction factor, predicting a financial safety index by using a neural network model, correcting the financial safety index through a regulation factor, obtaining a final financial safety index correction value, and setting a financial risk threshold value. And judging the financial health state of the enterprise. According to the method, the financial prediction model is constructed by collecting and processing the enterprise financial data and combining the industry financial correction factors, and dynamic evaluation and risk early warning of the enterprise financial health state are achieved.

The invention discloses a cooperative control method for assisting a local power grid frequency and voltage support by a wind power system. The method comprises the following steps: 1) considering local load equivalent impedance characteristics and a line power flow influence active power and reactive power demand quantification strategy; 2) a frequency modulation active power demand quantification strategy based on inertia control and droop control and a voltage regulation reactive power demand quantification strategy based on droop control; 3) considering converter station capacity limitation and frequency voltage support strength, and realizing frequency voltage cooperative control; according to the method, on the basis of a novel power system in which an offshore wind plant is connected with an IEEE39 standard node system through a flexible direct-current power transmission system, local load equivalent impedance characteristics and power flow influences are considered to quantify power requirements, and the side with low power grid strength is preferentially supported according to the voltage strength, so that the power grid strength is improved; and frequency and voltage cooperative control under a deep fault condition is realized.

The invention relates to the technical field of data classification prediction, and discloses a sandy soil earthquake liquefaction potential rapid evaluation method, which comprises the following steps: S1, selecting data from a data set commonly used in the field of sandy soil liquefaction as a first data set; s2, constructing a sandy soil earthquake liquefaction potential evaluation model; s3, inputting the data of the first data set into the model, performing domain adaptive training by using the maximum mean value difference, correcting the model, and performing data prediction on the second data set by using the corrected model; and S4, comparing the predicted sandy soil liquefaction condition with the actual sandy soil liquefaction condition, and carrying out validity verification on the sandy soil seismic liquefaction potential. The scheme improves the adaptability of the model on different data sets, solves the problems of low prediction efficiency, easy occurrence of an overfitting phenomenon of the model and the like in an existing scheme, and improves the prediction accuracy of the sandy soil seismic liquefaction potential. And the method shows higher accuracy and reliability in sandy soil earthquake liquefaction potential evaluation, so that the method has better interpretability and applicability.

The invention discloses a knowledge-driven and data-driven magnaporthe oryzae AVR (Automatic Voltage Regulation) gene RNA (Ribonucleic Acid) secondary structure generator, which is characterized in that an on-chip memory of an ARM (Advanced RISC Machines) chip and an external DRAM (Dynamic Random Access Memory) chip are adopted for respectively storing RNA original data and intermediate results; an FPGA chip is adopted to realize mapping from an RNA sequence to a knowledge graph, and features such as base pairing are fused through LUT; a multi-core AI chip is adopted, an encoder-decoder network is executed in parallel, and knowledge and data are fused to generate a secondary structure; and the VAE-GAN network is executed in a streamlined manner through an AI chip, the quality of the generated structure is evaluated and iteratively optimized, and an accurate RNA secondary structure is generated. The invention further discloses a knowledge-driven and data-driven fused magnaporthe oryzae AVR gene RNA secondary structure prediction method, RNA physicochemical characteristics are utilized, deep learning, transfer learning and knowledge distillation technologies are combined, and the prediction accuracy and operation efficiency are improved.

The invention discloses a quantity-controlled feeding device of an additive for producing a nanometer purple light reflecting film and a using method, the quantity-controlled feeding device comprises a feeding box, supporting frames are symmetrically and fixedly welded to the two sides of the periphery of the feeding box, a base is fixedly connected to the bottoms of the two supporting frames, and a filter plate is fixedly welded to the interior of the feeding box; material leakage openings are formed in the surface of the filter plate, the lower end of the filter plate is rotationally connected with a control plate, through holes are formed in the positions, corresponding to the material leakage openings, of the surface of the control plate, the lower end of the control plate is fixedly connected with a fixing column, and the lower end of the fixing column is fixedly connected with a bevel gear; according to the quantity-controlled feeding device of the additive for producing the nanometer purple light reflecting film and the using method, through cooperation of the bevel gear and the bevel gear, the control plate rotates, the space rotation angle between the through hole and the material leakage opening is controlled, the gap between the control plate and the filter plate can be adjusted, and therefore the corresponding flow is controlled.

The invention belongs to the field of ceramics, and particularly relates to a high-purity silicon carbide ceramic and a preparation method thereof. Comprising the following steps: adding powder into a ball mill, adding deionized water, stirring, and carrying out ball milling to form water-based slurry; the powder is prepared from micron-scale alpha-silicon carbide powder, nano-scale alpha-silicon carbide powder, polyethylene glycol and polyvinyl alcohol which are different in particle size; carrying out spray granulation on the obtained water-based slurry; and adding the obtained granulated powder into a graphite mold in an oscillating hot-pressing sintering furnace, pre-pressing, heating and boosting to a set sintering temperature and a set sintering pressure, and performing oscillating hot-pressing sintering to obtain the high-purity silicon carbide ceramic. By adopting the method, the mechanical property of the high-purity silicon carbide ceramic can be remarkably improved.

The invention belongs to the field of medical care equipment, and particularly relates to an airflow sensor and a vital capacity detector. The airflow sensor comprises a shell, a magnetic field generating device and a coil film. Wherein the shell is made of a non-ferromagnetic material; and an air flow channel with a square section is formed on the inner side of the shell. The shell comprises an upper substrate and a lower substrate which are parallel to each other. The magnetic field generating device is used for generating a fixed magnetic field with the magnetic field intensity changing along with the distance between the upper substrate and the lower substrate of the shell. The coil film comprises a flexible base film and a coil printed on the base film. The coil film is located between the upper substrate and the lower substrate. When gas flows through the gas flow channel in the shell, the coil film vibrates up and down, and then induction signals with the mapping relation with the gas flow intensity are generated at the two ends of the coil. The problems that a sensor part of an existing vital capacity detector cannot be self-powered, and the detection precision is prone to being affected by factors such as environment humidity are solved.

The invention provides a method for controlling batch-to-batch difference and improving specificity by changing raw material adding time after microsphere activation, and belongs to the technical field of biomedicine. The bioactive substances are added for coupling after the microspheres are activated for a certain time. According to the method, extra reagents or steps do not need to be introduced, batch-to-batch difference reduction and false positive reduction can be achieved only by optimizing the coupling object adding time, operation is easy, control is easy, reduction of false positive results caused by non-specific binding is facilitated, biological coupling reaction is more sensitive and reliable, and the method is suitable for industrial production. Therefore, the detection sensitivity, specificity and accuracy can be improved, and the kit has extremely high practical value in the fields which need large-scale production and have high requirements on product quality. The method provided by the invention can provide a more reliable and stable tool for biomedical research and clinical diagnosis, and has a good application prospect.

The invention provides a fluidized bed granulation process and device for online regulation and control of particle size and moisture of particles, and belongs to the technical field of fluidized bed granulation. The fluidized bed granulation process specifically comprises the following steps: firstly, presetting a material target particle size, a material control temperature and a minimum material temperature, adopting a four-stage granulation process, and realizing online regulation and control on the material particle size and moisture by controlling the air inlet volume and the air inlet temperature; the process is realized by installing an anemograph behind an air inlet valve on an air inlet pipe of an existing fluidized bed granulation drying device, installing a near-infrared probe on a material tank window and installing a temperature probe in the middle, the transformation difficulty is small, air volume and temperature control in the whole granulation process can be achieved, and online monitoring of the particle size and moisture of particles in the whole process can be achieved. The obtained products are small in batch difference and good in reproducibility, the stability of the product quality is further guaranteed, the purpose of saving energy can be achieved by monitoring the air inlet volume and the temperature, and the method is suitable for actual production.

The invention relates to a reference voltage source circuit for high-order compensation based on a BJT forward current gain temperature characteristic, a high-order compensation method of the reference voltage source circuit and a chip, the reference voltage source circuit for high-order compensation based on the BJT forward current gain temperature characteristic comprises a CTAT circuit and a PTAT circuit, the CTAT circuit comprises a first BJT, and the PTAT circuit comprises a second BJT. The emitter electrode of the first BJTQ1 is connected with a PTAT circuit, the collector electrode and the base electrode of the first BJTQ1 are connected and are connected with a common ground, the PTAT circuit comprises a second BJTQ2, the current density ratio of the first BJTQ1 to the second BJTQ2 is 1: N, the collector electrode and the base electrode of the second BJTQ2 are connected and are connected with the common ground, and the reference voltage source circuit is configured in a way that the first BJTQ1 and the second BJTQ2 are connected with the common ground. By configuring the bias current of the second BJTQ2, high-order compensation of the reference voltage source circuit is achieved, high-order compensation is achieved through a simple first-order circuit, power consumption and cost are saved, and the requirement of a high-precision application scene can be met.

The invention provides a method for detecting the content of a barium element in normal saline, which comprises the following steps: preparing barium element standard solutions with different concentrations, acquiring the absorbance of the barium element standard solutions with different concentrations, and establishing a barium element standard curve according to the absorbance and the concentrations of the barium element standard solutions; the method comprises the following steps: obtaining a sample solution, adding a digesting agent into the sample solution, digesting the sample solution under a heating condition, and evaporating the sample solution to obtain a digesting product; rinsing the digestion product to obtain a rinsing solution, adding a matrix modifier into the rinsing solution, and uniformly mixing to obtain a to-be-detected sample solution; and obtaining the absorbance of the to-be-detected sample solution, and determining the content of the barium element in the to-be-detected sample solution according to the barium element standard curve and the absorbance of the to-be-detected sample solution. The detection method is high in sensitivity, low in detection cost and small in material taking amount, interference of normal saline matrixes can be reduced or eliminated, and the accuracy of detection results can be improved.

The invention relates to the technical field of hot stamping, in particular to a hot stamping forming steel plate high-temperature stamping forming table and a control method thereof.The hot stamping forming steel plate high-temperature stamping forming table comprises a bottom frame, an upper stamping die and a lower stamping die, and stamping grooves are formed in the upper end and the lower end of the lower stamping die; a lower stamping die is installed in the support base through a connecting piece and a second fixing shaft, an upper stamping die is arranged at the upper end of the lower stamping die, the upper end of the upper stamping die is fixedly connected with the moving end of the hydraulic push rod through a bolt, positioning mechanisms are arranged on the two sides of the lower stamping die, and a driving mechanism is arranged on one side of each positioning mechanism. According to the double-sided stamping lower die, after stamping is completed once, the double-sided stamping lower die can be turned over, then automatic discharging can be achieved, meanwhile, the cooling duration of the stamping lower die in the continuous stamping process can be prolonged, and the situation that due to overheating of the stamping lower die, the double-sided stamping lower die cannot be cooled easily can be effectively reduced. And the service life is influenced due to aggravated abrasion.

The utility model discloses a liquid cooling capacitor sealing housing, comprising a housing body, the upper end of the housing body is provided with a cooling groove, two ends of the housing body are provided with liquid cooling heads, and the liquid cooling heads are internally provided with cooling flow channels communicated with the cooling groove; a plugging opening is formed in the side, away from the shell body, of the liquid cooling head, a plugging head is riveted to the plugging opening, an assembling section clamped into the plugging opening is arranged at the front end of the plugging head, a pressing rivet section is arranged at the rear end of the plugging head, pressing rivet sawteeth arranged around the assembling section are arranged on the inner side of the pressing rivet section, and a conical guide groove arranged circumferentially is formed in the end, close to the pressing rivet section, of the assembling section. According to the utility model, the liquid cooling heads at the two ends of the shell body seal the plugging openings through the plugging heads so as to ensure the sealing performance of the cooling flow channel, the plugging heads adopt the press-riveting structures, and the press-riveting sawteeth are utilized to extrude the plugging openings, so that the peripheries of the press-riveting sawteeth generate plastic deformation, and the deformed parts are guided by the conical guide grooves, and the sealing performance of the cooling flow channel is ensured. Therefore, sealing locking with the opening area of the plugging opening is generated, the plugging head is prevented from falling off, and the sealing effect is improved.

The invention belongs to the field of information security, and particularly relates to an unconstrained biological characteristic verification method, system and device fusing AdaMTrans and Neure-MS decoding. According to the scheme, a novel AdaMTrans encoder is designed to quantify and binarize biological characteristics, and an adaptive random mask scheme is combined, so that the inconsistency between biological characteristic noise and system error correction capability is reduced. According to the scheme, a 5G-LDPC coding scheme in the communication field is further applied, a Neure-MS decoder based on supervised learning is designed, and compared with a non-learning decoder, the scheme has the advantages that the number of iterations is smaller, and the error correction performance is higher, so that the defect that the performance of an existing scheme is reduced is overcome. The scheme of the invention has obvious advantages for identity recognition based on biological characteristics in an unconstrained scene, improves the reliability of biological characteristic recognition, and effectively alleviates the difference between biological characteristic noise and system error correction capability and the privacy security problem caused by inherent connection between the biological characteristics and the user.

The invention relates to the technical field of coating agents, in particular to a special butyronitrile glove coating agent applied to a clean room and a preparation method of the special butyronitrile glove coating agent. The ink is prepared from the following raw materials in parts by weight: 10-20 parts of hand feeling resin, 4-10 parts of a hand feeling aid, 3-5 parts of a flatting agent, 1-2 parts of an anti-freezing agent, 5-10 parts of a thickening agent, 2-4 parts of a pH regulator, 2-4 parts of a surfactant, 0.1-0.5 part of a bactericide, 3-6 parts of a wetting agent and 50-60 parts of a solvent. According to the special coating agent for the butyronitrile gloves applied to the clean room, a complex chlorine washing process is replaced, so that the butyronitrile gloves have excellent smoothness and anti-adhesion effect, meanwhile, the stability of a coating is improved, the demolding effect is smooth, and the coating agent has very high practical value.

The utility model provides a pretreatment device for jacquard fabric, and belongs to the technical field of machinery. The problem of poor stability in the prior art is solved. The pretreatment device for the jacquard fabric comprises a rack and further comprises an upper material passing roller, a lower material passing roller, a tensioning roller and a transmission assembly, the upper material passing roller is axially and fixedly connected to the upper portion of the rack, the lower material passing roller is axially and fixedly connected to the middle of the rack, and the tensioning roller is axially and fixedly connected to the rack and located on the side portion of the lower material passing roller; the upper material passing roller, the lower material passing roller and the tensioning roller are connected through the transmission assembly, and the upper material passing roller, the lower material passing roller and the tensioning roller can be driven to rotate synchronously through the transmission assembly. The pretreatment device for the jacquard fabric is high in stability.

The invention provides a vehicle-mounted virtual reality synchronization system, which can solve the problem of motion sickness caused by mismatching of vehicle dynamic motion and visual perception in a vehicle-mounted environment of traditional VR. The system collects the acceleration, angular velocity and GPS position information of a vehicle through the sensor module, and the data analysis module maps the information to a virtual camera coordinate system in real time. The virtual camera motion control module ensures that the motion of the virtual camera is synchronized with the actual motion of the vehicle. And the dynamic scene response module adjusts the virtual scene according to the vehicle state to enhance the immersion. Finally, the virtual reality equipment provides a dynamic VR picture synchronous with the vehicle motion, the motion sickness symptom is reduced, and the user experience is improved. Furthermore, the system has the design of light weight and low power consumption, is suitable for various vehicles, and has a wide application prospect.