207results about How to "Easy to keep" patented technology

The invention discloses an image super-resolution reconstruction method based on compressed sensing, and belongs to the field of image reconstruction. The problems that the updating speed of existing hardware cannot meet the requirement for signal precision, and on the premise that the hardware cost is not increased, an image with higher definition cannot be reconstructed are solved. The invention discloses an image super-resolution reconstruction method based on compressed sensing, and the method comprises the steps: designing a dictionary learning process, and obtaining high-frequency component parameters needed in image restoration; comprising the steps of constructing a training data set and performing dictionary training; wherein a corresponding low-resolution image is obtained by carrying out quality reduction and scale reduction calculation on an image so as to carry out a process of training a data set; constructing an over-complete dictionary pair by using a K-SVD algorithm, and training the dictionary; firstly, a reduced low-frequency component is obtained, and then the resolution is reconstructed. According to the method, the GPSR algorithm is utilized, the limitation of fixed sparseness of a traditional OMP algorithm is overcome, a more accurate sparse coefficient is obtained, and the precision of the reconstructed image is further improved by adopting a bilateral filtering mode.

The invention discloses liquid crystal polyimide aerogel with excellent shape memory performance and a preparation method of the liquid crystal polyimide aerogel, and belongs to the field of polymer aerogel materials. According to the liquid crystal polyimide aerogel with the excellent shape memory performance, the shape fixing rate is larger than or equal to 99%, and the shape recovery rate is larger than or equal to 97%; the heat conductivity at the room temperature is larger than or equal to 0.09 W m <-1 > K <-1 >; specifically, liquid crystal diamine, flexible diamine, a liquid crystal dianhydride monomer and a thermal curing agent are subjected to a reaction and solvent replacement, and polyamide acid dry filaments are obtained; and forming an aqueous solution from the dry polyamide acid filaments, injecting the aqueous solution into a silica gel mold, carrying out directional freezing casting on a customized freezing circulating device with a copper plate at the top, and carrying out freeze drying, thermal imidization and curing after molding, so as to obtain the liquid crystal polyimide aerogel with excellent shape memory performance.

The invention belongs to the technical field of computer vision, and relates to a remote sensing target detection method and system based on multi-scale feature fusion and a medium, and the method comprises the steps: obtaining a remote sensing image, inputting the remote sensing image into a bottom-to-top feature extraction backbone network, and obtaining a multi-level feature map Ck; inputting the Ck into a multidirectional feature strengthening network to obtain a multi-scale feature map Yk; inputting the Yk into a feature extraction backbone network from top to bottom to obtain a multi-scale fusion feature map Pk; inputting the Pk into a target detection network for target detection to obtain a detection result; the multidirectional feature enhancement network performs all-directional frequency domain information enhancement on each level of feature map, performs feature enhancement of different scales on frequency domain enhancement features, and performs bidirectional space coding and feature weight optimization on H and W dimensions by using a coordinate attention mechanism. Multiple information of frequency domains and space domains of low dimensions and high latitudes of the feature layer is comprehensively concerned, the detection capability of small targets is effectively improved, and the capability of coping with complex backgrounds is enhanced.

The invention belongs to the technical field of medical images and deep learning, and particularly relates to a non-paired cross-modal medical image conversion method based on contour guide path regularization, which comprises the following specific steps: constructing a conversion path from a source domain to a target domain; a path regularization method is applied to smooth path transition and ensure the stability in the image conversion process; according to a path regularization technology based on contour guidance, the model can be focused on a key anatomical region, the structural consistency and accuracy of the generated CT image are further improved, and the training time can be remarkably shortened by reducing additional training steps. The invention aims to simplify the unsupervised training normal form and overcome the defects of the traditional GAN-based single-step generation method in the aspect of capturing the complex anatomical structure of the medical image. While the training time and the sampling time are considered, the problem that the quality of the generated medical image is limited is overcome.

The present invention belongs to the field of image defogging technology, and proposes an adaptive image defogging enhancement method and system in a dusty and foggy environment in a mine. First, an image processing model including an image grading preprocessing module, an adaptive processing module and an optimization module is established; the image processed by the image grading preprocessing module is input into the adaptive processing module; the image processed by the adaptive processing module is further optimized by the image optimization module; and the optimized image is output. In practical application, the present invention can accurately, efficiently and stably defog images in a dusty and foggy environment in a mine, significantly improving the image quality and the ability to identify safety hazards in coal mines.

The invention discloses a self-adaptive contrast enhancement method and system for a medical image, and relates to the technical field of medical image processing, and the system comprises the following components: S1, image input and preprocessing, S2, quantum heuristic parameter search initialization, S3, a search process based on quantum state superposition and entanglement characteristics, S4, optimal parameter combination determination, and S5, optimal contrast enhancement. And enhancing the image contrast. According to the method, noise in the medical image is effectively removed through self-adaptive weighted median filtering and linear normalization preprocessing operation, the gray value range of the image is normalized, a high-quality input image is provided for subsequent contrast enhancement operation, meanwhile, a quantum heuristic parameter search algorithm is utilized, and the image quality is improved. According to the system, the optimal contrast enhancement parameter combination can be automatically searched and determined, the self-adaptive enhancement of the contrast of the medical image is realized, the definition and detail expressive force of the image are improved, and a doctor can more accurately diagnose diseases.

The invention discloses a 3D medical image registration method and device for contrast learning enhancement of double attention converters. The registration method comprises the steps that a 3D medical image data set is acquired and preprocessed; then down-sampling the fixed image and the floating image to create an image pyramid; then, a registration network based on a converter is established, finally, a loss function value between a fixed image and a registered image is calculated by using a loss function, and a network model is optimized through back propagation, so that a trained neural network model is obtained. According to the invention, by combining a self-attention mechanism and a cross attention mechanism, local and global context information can be comprehensively captured, and the modeling capability of image details and an overall structure is improved. And measuring the distance of the corresponding feature points between the images by using a contrast loss function. Meanwhile, the similarity between the images is further calculated by adopting a normalized total gradient and a modal independent neighborhood descriptor loss function, so that the accuracy and precision of medical image registration are improved.

The invention relates to the technical field of marine monitoring, in particular to a Transform-based marine organism population anomaly monitoring method and system. The method comprises the following steps: acquiring marine organism population data of different monitoring points, including remote sensing satellite image data, time sequence measurement data of an underwater sensor network and high-resolution image data acquired by an unmanned aerial vehicle; preprocessing the acquired marine organism population data; performing feature screening on the marine organism data based on a gate control mechanism; carrying out anomaly detection on the screened features on the basis of a Transform model; and outputting an anomaly detection result and feeding back the anomaly detection result to the Transform model for retraining. According to the self-adaptive feature screening method based on the gate control mechanism, the features most relevant to the marine organism population change can be automatically recognized and screened out, and therefore interference of data redundancy and noise is reduced.

The present invention relates to the technical field of sleep diagnosis, and in particular to a sleep staging method based on deep learning, the method comprising: collecting a number of target physiological signals, preprocessing each target physiological signal to obtain a number of standard physiological signals; synchronously aligning and integrating each standard physiological signal in turn to obtain a standard sleep data set; determining the actual correlation between each physiological signal to be integrated in the standard sleep data set, and determining an actual signal combination strategy according to the actual correlation; generating an actual sleep data set according to the actual signal combination strategy, and extracting features from the actual sleep data set to generate actual feature parameters; inputting the actual feature parameters into a deep learning model to determine the actual sleep state; analyzing the actual sleep state, and performing corresponding sleep intervention according to the analysis results. The present invention realizes low-cost non-intrusive sleep monitoring, thereby improving people's physical health.

The invention provides clarified defatted coconut milk, a preparation method thereof and application of the clarified defatted coconut milk in tea beverages. The preparation method of the degreased coconut milk comprises the following steps: S1, crushing and squeezing coconut meat to obtain coconut milk; s2, the coconut milk is filtered and centrifuged, a grease layer and an insoluble substance layer are removed, and degreased coconut milk is obtained; s3, sequentially adding pectinase and protease into the degreased coconut milk for enzymolysis, and filtering to obtain filtered pulp; and S4, adding a compound enzyme preparation into the filtered slurry, carrying out ultrasonic treatment, enzyme deactivation and filtration, centrifuging the filtrate, taking a clear juice layer, and filtering to obtain the clarified degreased coconut milk. According to the method, coconut pulp is taken from coconuts with proper fruit age and is juiced to prepare the coconut milk, and then proper filtration, clarification and centrifugal extraction conditions are combined, so that carbohydrates in the coconut milk can be better reserved, and substances such as protein and pectin in the coconut milk can be effectively removed or degraded, so that the degreased coconut milk becomes clear, and the quality of the coconut milk is improved. And turbidity or precipitation can be effectively avoided after the defatted coconut milk tea beverage is compounded.

The invention discloses a method for preparing a NaP molecular sieve / activated carbon composite material from coal gangue, belongs to the technical field of coal-series solid waste recycling, and aims to solve the technical problem that the alkali resistance and wear resistance of a coal gangue-based molecular sieve need to be further improved in the prior art. The method comprises the following steps: adding a crystallized molecular sieve into a vapor deposition device, carrying out vapor deposition to obtain a carbonized molecular sieve, and carrying out hot isostatic pressing to obtain the carbon-coated molecular sieve. And carrying out vapor deposition, hot isostatic pressing and oxidation liquid treatment, and finally cross-linking through a hydrophilic modifier to obtain the wear-resistant, alkali-resistant and hydrophilic composite molecular sieve.

The invention belongs to the technical field of optical cables, and discloses an optical fiber ribbon optical cable with forming parts, the optical fiber ribbon optical cable is provided with a cable core and an outer sheath located outside the cable core, the number of optical fiber ribbons in the cable core can be changed by changing the number of the forming parts and the size of ribbon containing channels formed between the adjacent forming parts, and the optical fiber ribbons are located in the ribbon containing channels. Each optical fiber ribbon in each ribbon accommodating channel is of an integrated structure, and each optical fiber ribbon in each ribbon accommodating channel is provided with at least three bends; the outer sheath wraps the cable core. The invention has the main beneficial technical effects of simple structure, easy manufacture, easy storage, more saved manufacturing space, higher space utilization rate, less non-fiber material consumption and low cost, and is more suitable for large-core optical fiber ribbons.

The invention relates to the technical field of video signal compression, and particularly discloses a face video compression method and system based on key frame prediction, and the method comprises the steps: face video quality analysis, face video key frame extraction, face video compression, and face compressed video decompression and reconstruction. The method accurately evaluates the quality of a face initial video, deeply knows details and changes of extracted frame contents by analyzing feature data of each extracted frame, provides an accurate basis for subsequent key frame extraction, ensures that the extracted key frame can accurately reflect the changes in the video, and improves the accuracy of key frame extraction. Different compression codes are adopted for key frames and feature frames in the face video, compression resources are utilized more efficiently, meanwhile, the quality and definition of the video are guaranteed, and whether the final quality of the compressed face video reaches the expectation or not is judged by analyzing the feature data of the second face video, so that the face video quality is improved. And the quality and the effect of face video compression are ensured to meet expected requirements.

The invention relates to the technical field of electrified dust removal of electrical equipment, in particular to an electrified dust removal device which comprises a telescopic rod, a cleaning motor, a mounting shell, a cleaning head, a mandrel and a cleaning brush, and the right side of the mounting shell and the upper portion of the telescopic rod are detachably and fixedly mounted together. The electric equipment cleaning device is reasonable and compact in structure, by arranging the sun gear and the planet gear, when the cleaning motor works, the multiple rotating shafts can be driven to rotate through the mandrel, so that the multiple cleaning brushes are driven to rotate, when the cleaning brushes rotate, bristles can be driven to rotate on the surface of the electric equipment, and when the brushes rotate, cleaning of dirt on the surface of the electric equipment can be accelerated; by arranging the telescopic rod, the height of the mounting shell can be adjusted, so that electrical equipment with different heights can be cleaned, the operation is more convenient, the right side of the mounting shell and the upper part of the telescopic rod are detachably and fixedly mounted together, the mounting shell and the telescopic rod are convenient to disassemble, and the practicability is high. And after disassembly, the mounting shell and the telescopic rod are convenient to transport and store.

The invention relates to a two-stage three-level high-voltage battery charging and discharging device and a control method. The two-stage three-level high-voltage battery charging and discharging device comprises an ACDC circuit connected with a power grid and used for converting alternating current into direct current; the DCDC circuit comprises a first capacitor, a second capacitor, a third capacitor and a first flying capacitor control circuit; the anode of the first capacitor is connected to the first flying capacitor control circuit through a first connection point, and the cathode of the first capacitor is connected with the anode of the second capacitor; the negative electrode of the second capacitor is connected to the first flying capacitor control circuit through a third connection point; the positive electrode of the third capacitor is connected to the first flying capacitor control circuit through a fourth connection point, and the negative electrode of the third capacitor is connected to the first flying capacitor control circuit through a fifth connection point; the first flying capacitor control circuit is connected to the ACDC circuit through a second connection point; and the LC filter circuit is connected with the DCDC circuit. The system stability and reliability are enhanced, and the test requirements of the high-voltage battery are met.

The invention discloses an optical image segmentation method based on a ResUnit + + model, and the method comprises the following steps: image preprocessing: marking a cloud layer label and a snow layer label on image data, and dividing the image data into a three-channel data set which is formed by stacking a background mask, a cloud layer mask and a snow layer mask; feature extraction: dividing the preprocessed data set into a training set and a test set, and inputting the training set into a ResUnit + + model for feature extraction so as to identify feature information corresponding to a background, a cloud layer or a snow layer in the image data; target segmentation and classification: taking the extracted feature information as an index of a final segmentation and classification task of a cloud layer and a snow layer, and outputting a segmented image of the image by a ResUnit + + model based on the extracted feature information so as to divide each pixel point in the image into a background, the cloud layer or the snow layer; in the feature fusion process, high-level semantic information can be better reserved, and meanwhile, a more accurate segmentation result is obtained in combination with low-level detail information.

The invention discloses a distorted image correction method based on a fast multi-scale residual network. Relates to the field of image geometric distortion correction, in particular to the technical field of distortion image correction based on a fast multi-scale residual network. Comprising the following steps: S1, constructing a data set, and generating a paired data set of a distorted image and a standard image and a deformation displacement field file of a corresponding number of the distorted image by using a geometric distortion model; s2, a distorted image correction model based on a fast multi-scale residual network is constructed, the model is divided into a backbone network and a tributary network, the backbone network is used for recovering image features, and the tributary network is used for outputting image classification features; s3, training the distorted image correction model based on the fast multi-scale residual network by using the pairwise data set of the distorted image and the standard image and the deformation displacement field file; and S4, processing the to-be-corrected image by using the trained distortion image correction model based on the fast multi-scale residual network to obtain the corrected image and the corresponding classification thereof.

The invention discloses a fuzzy invoice image restoration method and device based on a generative adversarial network, and the method comprises the steps: adding an attention gate module before the jump connection of an encoder and a decoder, and enabling the attention gate module to adjust the output features of the encoder again through adjusting the weights of features at different spatial positions, thereby achieving the restoration of a fuzzy invoice image. According to the method, the model learns which features are more concerned during feature fusion, so that important information is better reserved and unimportant information is better inhibited, the performance and generalization ability of the model are improved, the model generates a finer and more vivid invoice image, and compared with an original invoice image input to the model, the method has the advantages that the efficiency is improved, and the cost is reduced. And the definition of the invoice image generated by the model is improved.

The invention provides a two-phase aerobic fermentation device and an application method thereof. The device integrates a raw material pretreatment system, a feeding system, an aeration system, a stirring system, a heating and heat preservation system, a leachate backflow system, a decomposition bin, a decomposition bin, a waste gas treatment system and an intelligent control system. The method comprises the following steps: S1, raw material pretreatment; s2, metering and feeding the raw materials; s3, performing high-temperature aerobic decomposition; s4, medium and low temperature post-decomposition; s5, waste gas collection treatment; and S6, product discharging quality control. According to the method, aerobic fermentation is divided into a catabolism phase and an anabolism phase by taking a high-temperature period in a typical aerobic fermentation temperature change curve as a boundary, and decomposition-anabolism of aerobic microorganisms is enhanced by regulating and controlling a microenvironment in a split-phase manner, so that the aerobic biological treatment efficiency is effectively improved, and retention of different functional bacteria in a system is facilitated. The bottleneck problems of large occupied area, long period, low fertilizer efficiency, low functional strain preservation amount and the like of aerobic fermentation are solved, and safe and efficient resource conversion is realized.

The invention relates to a low-illumination image enhancement method and system based on zero sample learning, and belongs to the technical field of image processing. Comprising the following steps: decomposing illumination information, reflectogram information and edge feature information from a low-illumination image; respectively inputting the decomposed three types of information into corresponding loss functions so as to obtain three loss amounts; calculating the total loss amount according to the three loss amounts so as to obtain a gradient value; judging whether preset conditions are met simultaneously according to the total loss amount and the gradient value; when the conditions are met, the optimal three types of information are obtained; enhancing the optimal illumination information by using gamma transformation to obtain enhanced illumination information; fusing the enhanced illumination information, the optimal reflectogram information and the optimal edge feature information to obtain a primary enhanced image; and respectively establishing Laplacian image pyramids of the primary enhanced image and the low-illumination image, and fusing the Laplacian image pyramids to obtain an enhanced image. The method solves the problem that the image quality is reduced when the image with uneven overall contrast is directly enhanced.

The invention discloses a meshless super-resolution ISAR (Inverse Synthetic Aperture Radar) imaging algorithm based on structured low-rank embedding. The meshless super-resolution ISAR imaging algorithm comprises the following steps: constructing an echo extrapolation model; according to the echo extrapolation model, using echoes of a low-resolution image to construct a structured echo matrix; obtaining a null-trapping filter based on the structured echo matrix; constructing an echo extrapolation problem, and performing echo extrapolation based on the null-trapping filter; iteratively carrying out null trap filter acquisition and echo extrapolation until convergence, and obtaining an echo extrapolation result; and imaging the echo extrapolation result to obtain a super-resolution imaging result. Based on the structured low-rank characteristic, echo extrapolation is realized by iteratively updating the null-trapping filter and the echo, so that super-resolution imaging is realized. Experimental results show that the target information of the structured target can be better reserved while the imaging resolution is improved, and meanwhile better visual effect and robustness are achieved.

The invention provides a water body extraction method and device based on remote sensing image super-resolution reconstruction and a medium, and relates to the field of remote sensing image processing, and the method comprises the steps: obtaining and preprocessing remote sensing image data, and making a data set; designing a remote sensing image super-resolution reconstruction model based on the combination of a generative adversarial network and a dense connection network of an image self-similarity principle; performing model training by using the data set; obtaining and preprocessing a remote sensing image of a to-be-detected area; carrying out the super-resolution reconstruction of the original image of the to-be-detected region based on the trained model, and obtaining a high-spatial-resolution reconstructed image; and extracting a reconstructed image water body by using a water body index method, and making a water body map of the to-be-detected area. An apparatus and a medium are used to implement the method. The method has the beneficial effects that the remote sensing image achieves higher spatial resolution through super-resolution reconstruction, so that the remote sensing water body drawing precision is improved, and a better effect is obtained in the application of water body extraction and surface water monitoring.

The invention relates to corrugating base paper for a fruit box. The corrugating base paper comprises the following raw materials in percentage by weight: 65-75% of OCC pulp, 23-27% of broadleaf wood chemi-mechanical pulp and 5-8% of wood fibers. According to the invention, broadleaf wood chemi-mechanical pulp is added into OCC pulp to increase the fracture length of paper, wood fibers are added to increase the permeation of surface sizing starch, and the starch enhancer is introduced, so that in the starch gelatinization process, the starch enhancer can effectively weave a glucose chain of starch into a net-shaped structure, thereby remarkably improving the strength of the OCC pulp, optimizing the sizing effect of the starch, and improving the quality of the OCC pulp. The process of combining internal sizing and surface sizing is used, the moisture regain resistance of the paper on the end face and the surface is improved, the stiffness, bursting strength and ring crush compression resistance of the paper can be remarkably improved by using the production process, and the moisture regain resistance effect is good.

The invention provides a preparation method of Chinese chestnut brandy, which comprises the following steps: (1) cooking and cooling Chinese chestnut raw materials in sequence to obtain gelatinized Chinese chestnuts; (2) adding koji, water and rice husks into the gelatinized Chinese chestnuts in sequence, and then performing fermentation treatment to obtain Chinese chestnut fermented grains; (3) sequentially carrying out retort loading treatment and distillation treatment on the Chinese chestnut fermented grains to obtain distillate; (4) ageing the distillate, blending, and filtering to obtain the Chinese chestnut brandy; according to the method, a solid-state fermentation method is adopted, the Chinese chestnuts are directly fermented by adding yeast, water and rice husks as auxiliary materials, the ester fragrance, the aldehyde fragrance and the Chinese chestnut fragrance of the Chinese chestnut brandy are obviously improved, the Chinese chestnut fragrance is better presented and reserved, the preparation method is simple, the cost is saved, and the effect is better.

The utility model relates to a kind of hydraulic control system for brake of wind-driven generator, including power liquid pipeline I, main shaft loop II, yaw loop III, power liquid pipeline I can produce the pressure liquid with power, main shaft loop II is connected with main shaft brake, yaw loop III is connected with yaw brake;The power liquid pipeline I is connected on hydraulic oil tank;The corresponding valve in the main shaft loop II, pipeline integrated setting is on main shaft brake module;The corresponding valve in the yaw brake pipeline III, pipeline integrated setting is on yaw brake module;After the corresponding valve integrated on main shaft brake module is separately fixed and installed, after the corresponding valve integrated on yaw brake module is separately fixed and installed, form the structure that each function module is separated and is beneficial to overhaul.The utility model reaches the beneficial effect is: pipeline indirect-beneficial to subsequent carding maintenance, redundancy design-improve reliability.

The utility model provides an ejection seat regular inspection assembling clearance combination measuring tool, comprising a combination measuring tool used for measuring the installation spacing of a headrest umbrella box, the combination measuring tool comprises a measuring sample plate, the left and right sides of the measuring sample plate are respectively provided with an overturning member with a locking function, each overturning member is provided with a feeler gauge, and the feeler gauge is provided with a clamping groove. According to the utility model, one set of combined measuring tool can be used to measure the installation spacing of the two types of ejection seat headrest umbrella boxes and the installation gap of the hook-shaped lock, the measurement is more accurate, convenient, rapid and efficient, the carrying and storage are more convenient, the detection operation can be realized without the cooperation of a plurality of sets of detection tools, and the detection efficiency is improved. The detection process is greatly simplified, and the detection efficiency is improved.

The utility model belongs to battery processing forming technical field especially relates to battery cover forming device, including punch upper die, punch lower die and adaptive mechanism, punch lower die sets up on punch upper die's output end stamping path, adaptive mechanism swing joint is in punch lower die, set up the mounting groove for loading the battery cover of to be shaped on adaptive mechanism, wherein, punch lower die is provided with the movable slot for accommodating adaptive mechanism, adaptive mechanism can be along the horizontal direction sliding connection in movable slot, adaptive mechanism is used for loading the end of battery cover and can rotate after the output end stamping effect of punch upper die, makes the orientation angle change of mounting groove, through dynamic adjustment battery cover's space posture in the stamping process, effectively solve the convex ring inclination defect of traditional punch forming when the workpiece deflection leads to.

The utility model relates to the technical field of 3D glass measurement, and discloses a clamp for 3D glass chamfering and rabbet body measurement, which is simple in structure and operation, high in measurement efficiency and low in use cost, is not limited by a measurement machine table, can be simultaneously suitable for batch production and proofing links, and comprises a bracket base and a product positioning block, two support inserts are oppositely arranged on the support base, limiting notches are formed in the top faces of the support inserts, and at least one penetrating hole is formed in the side face of each support insert. A positioning groove is formed in the top surface of the product positioning block, two limiting connecting parts are arranged on the two opposite outer sides of the product positioning block, rotating shafts penetrating through the limiting notches are fixed to the limiting connecting parts, and a plurality of inserting holes are formed in the limiting connecting parts; two product fixing blocks which are detachably connected with the product positioning blocks are oppositely arranged at the edge of the notch of the positioning groove, and the product fixing blocks are provided with crimping parts which press the edge of the to-be-tested product together with the edge of the positioning groove; and the product positioning block is fixedly connected with the bracket insert through a bolt penetrating through the penetrating hole and any one of the insertion holes.

The application discloses a micro-fluidic chip and a method for recovering nucleic acids with different fragment sizes. The method can realize recovery of nucleic acids with different fragment sizes by repeatedly washing and recovering magnetic beads through the micro-fluidic chip. The method can improve the overall nucleic acid recovery effect by adjusting the adding concentration of the magnetic beads and PEG salt and the washing times, and can distinguish and control the nucleic acid length, and all the nucleic acids with different fragment lengths can be obtained by continuously adjusting the concentration. Moreover, the method can realize small volume, high throughput and automation.

The invention discloses a lithium battery thermal runaway simulation device with good safety protection, and the device comprises a box body, the top of the box body is fixedly provided with a storage groove, the storage groove is internally provided with a clamping groove, the clamping groove is internally provided with a lithium battery, the bottom of the interior of the clamping groove is provided with a heating plate, the interior of the box body is provided with a hydraulic cylinder, and the hydraulic cylinder is connected with the storage groove. A piston rod of the hydraulic cylinder penetrates through the box body and is fixedly provided with a first connecting rod, the first connecting rod is fixedly provided with an anti-explosion glass cover through a second connecting rod, one end of the anti-explosion glass cover is provided with a through hole, a fixing block is fixed to the anti-explosion glass cover, and a baffle used for shielding the through hole is slidably connected into the fixing block in a sleeved mode. The explosion-proof glass cover is provided with a lifting mechanism used for driving the baffle to slidably ascend and descend. The explosion-proof glass cover is used for covering the lithium battery in the experiment process, so that the lithium battery can be isolated from the outside during thermal runaway, damage to the periphery caused by a thermal runaway experiment is avoided, and a good safety protection effect is achieved.