434results about How to "Improve match" patented technology

The invention relates to a zirconia-based all-ceramic false tooth and a preparation method thereof. A core layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 90 to 94 parts of ZrO2, 5 to 9 parts of Y2O3, 0.1 to 0.5 part of Al2O3, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2, and a shell layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 24.5 to 49.5 parts of CaCO3, 45 to 50 parts of SiO2, 0 to 25 parts of MgO, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2. The preparation process comprises the following steps: performing dry pressing and isostatic pressing on raw materials of the core layer, presintering, and carving to obtain a zirconia-based false tooth biscuit; meanwhile, calcining raw materials of a shell layer, then adding deionized water, a dispersing agent and an adhesive, and carrying out ball milling and mixing to obtain calcium-magnesium-silicon-based ceramic slurry; and coating the calcium-magnesium-silicon-based ceramic slurry on the surface of the zirconium oxide-based false tooth biscuit, and sintering to obtain the zirconium oxide-based all-ceramic false tooth provided by the invention. The zirconia-based all-ceramic false tooth has good jade texture and is closer to the natural color of natural teeth.

A self-adaptive control method of an aircraft wing and the aircraft wing wherein the self-adaptive control method comprises: constructing a prediction model, inputting a real-time external aerodynamic disturbance parameter to the prediction model, predicting a predicted disturbance error at a next moment, and realizing feedforward prediction compensation of external aerodynamic disturbance. The influence of predictable disturbance on the airfoil profile is eliminated in advance; and then monitoring the airfoil pose to obtain tracking airfoil parameters, and carrying out deviation calculation on the tracking airfoil parameters and the target airfoil parameters to obtain an actual tracking error so as to provide a real-time airfoil pose feedback signal. And finally, the control assembly generates a control instruction based on the predicted disturbance error, the actual tracking error and the target airfoil profile parameter, the control instruction acts on the mechanical neural network to realize adaptive adjustment of the airfoil profile, and the airfoil profile continuously approaches the target airfoil profile neighborhood through a feedforward and feedback composite control mechanism.

This utility model discloses a cutting machine with good stability, comprising a base assembly, a base, and multiple fixing holes through the base; an adjustable clamping adjustment component mounted on the base assembly; a cutting machine body adjustablely mounted on the base assembly and rotatably mounted on the side of the clamping adjustment component via the multiple fixing holes; the base includes a base body; and connecting reinforcing rods and / or counterweights fixedly mounted diagonally in the base body. This utility model allows the cutting machine body to be adjusted and connected to the base assembly, facilitating adaptation to different cutting surfaces. Furthermore, by incorporating connecting reinforcing rods and / or counterweights in the base body, the stability of the base assembly is enhanced, effectively solving the problem of poor stability in existing cutting machines.

The application relates to the technical field of animal breeding environment control, and discloses a ventilation control method and system for an animal breeding site. The method collects animal behavior data and environmental factor data in the breeding site in real time, constructs an animal group behavior network based on the animal behavior data, and identifies a group behavior mode by using a graph neural network. The environmental factor data and the group behavior mode are coupled by a nonlinear weighted fusion algorithm, a multi-factor linkage prediction model is constructed to obtain a group stress response, historical stress data is further combined, a space-time graph neural network is used to establish a group stress response propagation model in the group to obtain a stress propagation path, and the control parameters of at least one environmental control device in a ventilation system and a temperature and humidity control system are adjusted based on the stress propagation path. The application can realize ventilation control based on linkage of group behavior and environmental factors and is suitable for complex breeding scenes.

The invention belongs to the technical field of microwave antennas, and particularly provides a tight coupling phased array with a tail end unit loaded with asymmetric dipoles. The main structure of the antenna comprises a radiation structure (I) which is composed of frequency selection surfaces which are arranged above folded dipoles and are periodically arranged, dipoles which are symmetrically arranged in a central unit and dipoles which are asymmetrically arranged in an edge unit; and the feed structure II is composed of a gradient microstrip feeder line, a metal floor and a coaxial line. According to the invention, a frequency selective surface is loaded above a folded dipole, a traditional tight coupling phased array is replaced, a heavy dielectric layer is loaded above the dipole, and a 1 * 8 one-dimensional linear array is designed. Besides, by prolonging the length of the folded dipole on the tail end array element, compared with a traditional structure, extra capacitance is introduced under the condition that the height of the array section is not changed, and the problem that the array is difficult to match at low frequency is effectively relieved.

The invention discloses a high-performance cast cold roll evaluation method based on stress of a working layer and a bonding layer, and belongs to the technical field of metallurgical mechanical equipment design and life evaluation, and the method comprises the following steps: calculating the maximum contact pressure between a working roll and a supporting roll and the flattening width of a contact surface; further determining the maximum shear stress in the working roll and the depth position corresponding to the shear stress; according to radius changes of the working roller in different wear stages, the maximum contact pressure and the contact surface flattening width in different wear stages are calculated for multiple times, and then normal stress at the position of a bonding layer in each stage and shear stress derived from the normal stress are calculated; performing simulation verification on calculation data based on a stress field of finite element simulation; comparing the shear stress of the bonding layer obtained after calculation with the total stress level after the residual stress is considered, and the allowable shear stress of the same material; and the risk is judged. The service life of the roller can be prolonged, and the equipment loss cost of cold-rolled strip steel production is reduced.

The invention relates to the technical field of medical instruments, and discloses a stable supporting training frame for knee joint rehabilitation treatment, which comprises an upper outer bracket, a lower outer bracket, flexible linings arranged on the inner sides of the outer brackets, hanging rings arranged on the outer contours of the outer brackets, bandages arranged on the inner sides of the hanging rings, and a connecting assembly arranged between the two outer brackets, the inflation assembly is arranged on the inner side of the flexible lining, and the adjusting assembly is arranged on the side face of the outer support. According to the stable supporting training frame for knee joint rehabilitation treatment, after the inflation assembly, the adjusting assembly and the wearable device are arranged, an air pump injects air into an air pipe, the air flows into the inflation assembly through a connecting pipe, the inflation assembly is inflated and expands, the space between the flexible lining and the leg is gradually filled, the binding state is gradually tightened, and in the tightening process, the flexible lining and the leg are not prone to falling off. A user can fully feel that the binding elastic band is gradually enhanced, more accurate control can be achieved, the situation that the binding elastic band is too loose or too tight is avoided, and the wearing comfort is improved.

The application relates to the technical field of intelligent control, and discloses a recipe sorting implementation method and device based on a recipe matching result, and a storage medium, which comprises the following steps: after a plurality of matched candidate cooking recipes are screened out based on a to-be-cooked material, for each candidate cooking recipe, a basic matching degree between the candidate cooking recipe and the to-be-cooked material is calculated according to a target parameter corresponding to the candidate cooking recipe, wherein the target parameter comprises recipe coverage and material utilization; the basic matching degree corresponding to the candidate cooking recipe is corrected based on an auxiliary factor corresponding to the candidate cooking recipe to obtain a comprehensive matching degree between the candidate cooking recipe and the to-be-cooked material; and all the candidate cooking recipes are sorted according to the comprehensive matching degree to obtain a candidate recipe sorting result. It can be seen that the application can improve the sorting reliability of cooking recipes, and further improve the matching degree between the recommended cooking recipe and the actual demand of a cooking user and the efficiency of the cooking user in selecting a cooking recipe.

The application provides a process parameter optimization method and device for ultrasonic metal welding, which comprises the following steps: receiving multiple groups of process parameters to be optimized in multiple process stages of ultrasonic metal welding; inputting the multiple groups of process parameters to be optimized into a process parameter prediction layer to obtain multiple predicted process parameters corresponding to the multiple process stages; when the multiple predicted process parameters exceed a set parameter range, adjusting the multiple groups of process parameters to be optimized based on a parameter adjustment module to obtain multiple groups of optimized process parameters; and when the multiple predicted process parameters are within the set parameter range, inputting the multiple predicted process parameters into a welding quality prediction layer to obtain a predicted welding quality. The process parameter prediction layer can predict the process parameters of each process stage, and the parameter adjustment module can adjust the multiple groups of process parameters to be optimized based on the prediction results of the process parameters, so that the consistency of the optimized process parameters can be improved, and the accuracy of the predicted welding quality can be improved.

This invention belongs to the field of sodium-ion batteries, and relates to a fluorophenylphosphonate, its preparation method, and its application in sodium-ion batteries. The fluorophenylphosphonate includes di(trifluoroisopropyl)phenylphosphonate or di(hexafluoroisopropyl)phenylphosphonate; the preparation steps are as follows: using fluoroalcohol and phenylphosphonyl dichloride as raw materials, triethylamine as an acid-binding agent, and diethyl ether as a reaction solvent, the fluorophenylphosphonate is prepared by a condensation substitution reaction. Sodium-ion batteries prepared using fluorophenylphosphonate exhibit high ionic conductivity and an electrochemical stability window. This phosphonate additive preferentially decomposes at the electrode interface, inducing the formation of a thin, dense, uniform electrode-electrolyte interface phase rich in NaF inorganic components, and giving the electrolyte excellent flame-retardant properties. Sodium-ion batteries assembled with positive electrode materials exhibit good rate performance and cycle stability, with a cycle life exceeding 5000 cycles at room temperature. Simultaneously, this electrolyte also exhibits excellent cycle performance at a high temperature of 60°C.

The embodiment of the invention provides a motor speed observation method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly, obtaining an electrical angle of a motor; then, gain processing is carried out based on the electrical angle, the observer proportional gain parameter and the observer integral gain parameter, and a proportional integral output value is obtained; next, feed-forward processing is carried out based on the electrical angle and a feed-forward gain parameter, a feed-forward output value is obtained, and the feed-forward gain parameter, an observer proportional gain parameter and an observer integral gain parameter are all generated based on the speed ring bandwidth of the speed ring; and finally, performing superposition processing based on the proportional integral output value and the feedforward output value to obtain a speed observation result of the motor, thereby greatly improving the observation real-time performance and accuracy of motor speed observation.

The invention discloses a method and equipment for improving matching of a measured piece in an attenuation measurement system, belongs to the field of radio metering, and comprises the method for improving matching of the measured piece in the attenuation measurement system, and the core of the method is that a precise matching absorption load is added in a front-end transmission system of the measured piece; energy transmission is realized on a waveguide wide side of the precise matching absorption load through a coupling hole; a transmission waveguide is additionally arranged above the coupling hole, and energy is transmitted to a measured piece in the forward direction; and a precise matching absorption load is added in the reverse direction to absorb energy in the reverse direction, so that the measured piece matching improvement equipment in the attenuation measurement system is formed, and finally the measured piece matching of the attenuation measurement system is improved. According to the method and the equipment, the impedance matching of the measured piece is improved by using the precise matching load, the voltage standing-wave ratio of the load level is realized, and the attenuation measurement accuracy is improved. The tested piece matching improvement equipment developed by using the method is directly connected to two ends of the tested piece in an attenuation measurement system, so that the impedance matching of the tested piece is improved.

The application provides a small blood oxygenator, belonging to the technical field of oxygenators, which comprises a shell, an oxygenator core body arranged in the shell, an upper end cover and a lower end cover respectively arranged on the vertical two sides of the shell, a liquid inlet connector connected to the lower end of one side of the shell, a liquid outlet connector connected to the upper end of the other side of the shell, an air inlet connector connected to the upper end cover, an air outlet connector connected to the lower end cover, and the liquid inlet connector, the liquid outlet connector, the air inlet connector and the air outlet connector are respectively connected with corresponding external channels through a butt joint structure. The application solves the problem that the air inlet, the air outlet, the liquid outlet and the liquid inlet of the existing small oxygenator are mostly connected with the corresponding external pipeline through a wire connection method when in use, and the positions of the air inlet, the air outlet, the liquid outlet and the liquid inlet are mostly connected with each other through a rubber ring to realize the leakage prevention function, the leakage prevention effect is not good, leakage may occur, and the normal use of the oxygenator cannot be guaranteed.

This invention belongs to the field of catalyst preparation technology, specifically disclosing a catalyst for the hydrogenation of carbon dioxide to low-carbon olefins, its preparation method, and its application. The preparation method is as follows: An aqueous solution of the target metal salt is prepared, a precipitant is added for co-precipitation, and the solution is filtered, washed, dried, and calcined to obtain the corresponding metal oxide. An aluminum source, triethyl phosphate, a silicon source, and an imidazole derivative template agent are added to deionized water, and mixed to form a concentrated gel. The resulting concentrated gel system is heated to crystallize without the addition of a mesoporous pore-forming agent. The crystallized product is separated, washed, dried, and calcined to obtain a molecular sieve. The metal oxide and the molecular sieve are physically mixed and ground at a mass ratio of 1:10 to 10:1 to obtain a composite catalyst. This invention, through the synergistic effect of triethyl phosphate and the concentrated gel system, induces a non-classical growth mechanism to achieve multi-level pore self-assembly, without the need for additional mesoporous template agents, and significantly reduces the amount of template agent used. The composite catalyst exhibits mild acidity and excellent diffusion performance.

The application relates to a dual-phase high-entropy ceramic material for high-temperature thermal barrier coatings and a preparation method thereof, in particular to a dual-phase high-entropy ceramic (La 0.2 Nd 0.2 Gd 0.2 Y 0.2 Ho 0.2 )2Zr2O7 with low thermal conductivity and high thermal expansion coefficient, which is mainly used for thermal isolation, thermal barrier coatings and other applications in high-temperature environments. The application is prepared by adopting a solid-phase reaction sintering process through accurate design of the combination of rare earth elements, forms a stable dual-phase structure, effectively inhibits grain growth through grain boundary pinning, and thus maintains a nanoscale grain structure. Meanwhile, the material can efficiently block heat transfer at high temperatures through optimization of phase proportion, and the thermal expansion characteristics are matched with a metal base layer, effectively avoiding the falling risk caused by the difference in thermal expansion of the two, and thus greatly improving the service life and reliability of the material in a high-temperature environment. The high-entropy ceramic material of the application can be widely applied to fields with high demand for high-temperature thermal isolation in aerospace, aviation, automobile industry and the like, is especially suitable for thermal barrier coatings, high-temperature thermal insulation materials and other high-temperature thermal insulation applications, and has important engineering application value.

The utility model provides a photovoltaic support and a roof. The photovoltaic support comprises a water guide groove and a lock seam clamp, the lock seam clamp is installed at the top of the water guide groove, and the two sides of the lock seam clamp are used for installing a plurality of photovoltaic assemblies respectively. And the water chute and the photovoltaic module are connected into a whole through the lock seam clamp, so that the potential safety hazards of water accumulation, water seepage, corrosion and the like in the punching installation of the photovoltaic module in the skid-mounted equipment room are solved. The roof of the skid-mounted equipment room and the photovoltaic system are combined and integrated into a photovoltaic integrated roof structure, so that loopholes or roof damage risks existing at punching positions are avoided, normal operation of devices in the skid-mounted equipment room is guaranteed, and meanwhile, the labor load of photovoltaic module installation is reduced. The roof of the skid-mounted equipment room adopts a prefabrication process, and photovoltaic integrated design is carried out on the roof structure of the skid-mounted equipment room. The installation of a photovoltaic support of a metal structure is avoided, the load of the roof of the skid-mounted equipment room is reduced, and meanwhile, the risk that the photovoltaic support is overturned and damaged in strong wind weather is avoided.

The embodiment of the application discloses a high-pressure fan system for new energy engineering machinery, and belongs to the technical field of high-power equipment thermal management. The system comprises: a high-pressure fan; a driving motor, which is in transmission connection with the high-pressure fan; a motor controller, which is electrically connected with the driving motor, is used for driving the driving motor and adjusting the rotating speed of the high-pressure fan; a control module, which is in communication connection with the motor controller, is used for sending a rotating speed control instruction to the motor controller; a high-voltage power supply circuit, which has an input end connected with a whole vehicle high-voltage bus and an output end connected with a power input end of the motor controller, provides high-voltage direct current to the motor controller; and a low-voltage auxiliary power supply circuit, which has an input end connected with a whole vehicle low-voltage power supply and an output end connected with the control module, provides low-voltage direct current to the control module. Based on the system, the low-voltage system load and overload risk can be reduced, a single fan can meet the whole vehicle heat dissipation demand, the configuration quantity and space occupation are reduced, and the heat dissipation efficiency is improved.

The invention relates to the technical field of Internet, in particular to a multimedia content display method and device, electronic equipment and a storage medium, and aims to improve the click rate of multimedia content. The method comprises the following steps: presenting a content browsing interface; the content browsing interface is used for displaying the recommended information flow to the target object; in response to a content switching operation for the content browsing interface, presenting exclusive promotion content generated based on the target multimedia content carried by the information stream in the content browsing interface, and skipping to the exclusive promotion content and playing a content segment corresponding to the exclusive key information of the target level; the exclusive promotion content is used for describing different levels of exclusive key information matched with the target object; each piece of exclusive key information is comprehensively generated according to the original key information in the target multimedia content and the content preference information of the target object; the target level is determined according to the interestingness of the target object to the information flow.

The application discloses a USBKEY communication protocol automatic switching method, wherein the USBKEY communication protocol is a communication protocol between a USBKEY and a host device, and the number of communication protocol modes of the USBKEY communication protocol is multiple; the method comprises the following steps: performing an activation action of the USBKEY communication protocol, if the host device does not recognize the USBKEY within a specified number of activation action execution times, switching the communication protocol mode of the current USBKEY; and the USBKEY communication protocol activation action comprises an execution action of the host device recognizing the USBKEY inserted therein. The application can support protocol automatic switching, can support automatic matching of various protocol servers, and increases product usability.

The utility model relates to the technical field of gravure electroplating baths, in particular to a gravure electroplating bath crossed type anode moving mechanism which comprises a bath body, the bath body is provided with a pair of anode plates arranged at intervals, the bath body is further provided with an adjusting mechanism, and the adjusting mechanism comprises a lifting seat capable of moving longitudinally and a pair of sliding modules arranged symmetrically. The sliding module comprises an adjusting sliding seat which slides obliquely in the longitudinal direction of the shielding plate, and the adjusting sliding seat is connected with the anode plate; the lifting seat is provided with a pair of connecting arms which can be symmetrically arranged, and the connecting arms are rotationally connected with the adjusting sliding seat; the gravure roller is arranged between the two shielding plates, the lifting seat can drive the adjusting sliding seat to obliquely ascend and descend along the shielding plates through the connecting arms by moving the lifting seat, so that the included angle of the two connecting arms is changed, and as the adjusting sliding seat is connected with the anode plates, the two anode plates get close to each other or get away from each other; therefore, the distance between the two anode plates can be adjusted, and gravure rollers with different sizes can be conveniently matched.

The invention relates to the technical field of artificial intelligence, in particular to a display screen integrated bidding document generation method and device, intelligent equipment and a storage medium. The method is applied to the intelligent equipment, and comprises the following steps: obtaining a project demand of a display screen; according to the project demand, constructing a prompt word; inputting the cue words into a large language model, guiding the large language model to perform reasoning based on the project requirements through the cue words, and generating a bidding document draft of the display screen; calling a bidding document template; and generating a target bidding document of the display screen according to the bidding document draft and the bidding document template. By adopting the scheme of the invention, the display screen bidding document can be intelligently generated, and the bidding document generation efficiency and the demand matching degree are improved.

The utility model provides a radiofrequency ablation instrument which comprises an electrode base body, a first electrode, a second electrode, a third electrode and a fourth electrode. The handle is connected with the electrode base body, and the handle can rotate; the bending control assembly is arranged on the handle and is connected with the deformation part; when the handle rotates, the bending control assembly can be driven to rotate, and the bending control assembly drives the deformation part to bend. According to the radiofrequency ablation instrument, the bending amplitude of the deformation part can be controlled by rotating the handle, so that the position of the deformation part can be adjusted according to different patients, the matching degree of different patients is improved, the treatment effect is improved, and the operation risk is reduced.

The invention provides a shape-based template matching method, and belongs to the technical field of machine vision, and the method comprises the steps: obtaining a plurality of template images with different scales and angles; respectively calculating the gradient, the feature vector and the feature point at each pixel point on each template image; for a test image, calculating feature vectors and feature points of the test image, performing gradient direction expansion on each feature point to obtain a gradient direction quantized value, and enabling the gradient direction quantized value to correspond to a unique binary character string; a plurality of lookup tables are created, the index number of each lookup table corresponds to each binary character string, and the index value corresponds to the cosine value of the feature point and the feature vector corresponding to the binary character string; extracting template images and feature information of the template images, performing sliding window matching on the template images on the test images in the horizontal and vertical directions, acquiring overall similarity, and judging whether the test images are successfully matched with the corresponding template images or not; according to the invention, the matching speed and accuracy can be effectively improved.

A side panel rear light mounting structure, comprising a side panel outer plate (1) and a rear light mounting plate assembly (2). The side panel outer plate (1) is welded to the rear light mounting plate assembly (2); the rear light mounting plate assembly (2) comprises a rear light mounting connecting plate (21), an upper rear light mounting plate (22), and a lower rear light mounting plate (23); the lower rear light mounting plate (23) comprises a first welding edge (231) and a second welding edge (232); the first welding edge (231) and the second welding edge (232) are adjacent to each other; the rear light mounting connecting plate (21) is welded to the first welding edge (231); the upper rear light mounting plate (22) is welded to the second welding edge (232); and the rear light mounting connecting plate (21) and the upper rear light mounting plate (22) are separately welded to the side panel outer plate (1). Also disclosed are a side panel rear light mounting method, an automobile rear light, and an automobile. By splitting traditional rear light mounting plates into smaller parts, the part accuracy is improved, thereby solving the problems of difficulty in forming and cracking of rear lights in the prior art caused by a negative angle in the stamping direction of rear light mounting plates during maximizing light-emitting areas.

The application provides a kind of deep learning optical imaging system design method based on complex function neural network, comprising the following steps: step one, object distance, system focal length, F number as input, according to the ideal optical system imaging relationship, determine image distance, imaging scale ratio;Step two, according to the imaging scale ratio and the object image of ideal optical system, the image of ideal optical system is calculated;Step three, construct complex function generator network model, step four, construct discriminator network model, step five, after the establishment, training of the above-mentioned complex function neural network deep learning model, step six, use phase.The deep learning optical imaging system design method based on complex function neural network provided by the application solves the correlation between the advantages and disadvantages of the design result and the experience value of the designer, without the designer providing initial structure parameters;Greatly improve the computing ability and optimization speed.

The invention provides a hybrid energy storage charge state control method and device, and the method comprises the steps: predicting the daily generating capacity of a photovoltaic power station according to a historical database; according to the historical database, the occurrence probability of the extreme weather in the target time period is judged; when the occurrence probability is high, judging the severity of the extreme weather in the target time period; predicting the duration of the extreme weather according to the severity; predicting the daily generating capacity of the photovoltaic power station in extreme weather according to the severity; according to the work plan, obtaining the daily power consumption when the extreme weather occurs; and according to the extreme weather duration, the extreme weather generating capacity and the power consumption, obtaining target power storage capacity. According to the invention, at least the required electric quantity is predicted before the extreme weather, and a part of electric quantity is stored before the extreme weather for emergency use, so that equipment damage caused by unstable current in the extreme weather is avoided, and the power utilization cost is reduced.

The application discloses a face expression capturing model training method based on unsupervised face expression capturing model training method system and medium, obtains a group of preset prompt words for image generation, and randomly extracts a preset prompt word to generate a first two-dimensional face image; obtains a first face expression score vector and a face parameter based on the first two-dimensional face image; calculates three-dimensional face key points, and obtains a second two-dimensional face image according to the three-dimensional face key points; inputs the second two-dimensional face image into an emotion regression network to obtain a second face expression score vector; calculates a preset loss according to a preset loss calculation mode, and trains the face expression capturing model in a gradient back propagation mode. The application can train a model with a driving effect closer to a real face by generating the first two-dimensional face image corresponding to the preset prompt word, combining the face expression score vector, the face parameter and a large amount of unsupervised data, and simplifying the data acquisition process and reducing the cost.

The application discloses an intelligent teaching auxiliary system based on augmented reality, which combines an ORB algorithm with a single multi-task deep learning network, simultaneously realizes feature point detection, edge detection and depth estimation tasks, extracts two-dimensional coordinates of key points, edge information and three-dimensional space coordinates, ensures that the positioning of feature points is more accurate and has strong robustness, in addition, by introducing a multi-head attention mechanism, global feature maps and local feature points are weighted and fused, the expression and matching performance of feature points are optimized, the stability and accuracy of feature point detection are further improved, and reliable data input is provided for subsequent camera pose estimation; based on the extracted two-dimensional coordinates, three-dimensional coordinates and camera intrinsic parameters, combined with a PnP algorithm, the pose information of the camera is solved by minimizing the projection error, so that the virtual three-dimensional model can be accurately aligned with the real teaching target object.

The invention relates to the technical field of coal mine bracket sensor detection, in particular to a sensor fault detection method based on bracket action change, which comprises the following steps: collecting data through a multi-source data fusion monitoring architecture, and filtering non-fault abnormal data through a Bayesian network; constructing a mapping model of bracket action and dip angle change, and defining monitoring logic; an inclination angle value is accurately predicted in combination with a Kalman filtering algorithm, the inclination angle value is compared with a real-time observation value, and intelligent early warning is triggered when an error exceeds a preset threshold value; the method realizes accurate and real-time fault detection, avoids missed judgment, greatly shortens the troubleshooting time, reduces the labor cost, improves the safety production guarantee capability of a working face, and is suitable for complex working conditions of an underground coal mine.

The application provides a video coding quantization method, device, equipment and computer readable storage medium. The method comprises the following steps: obtaining a to-be-coded video frame, performing block processing and transformation processing on the to-be-coded video frame to obtain transformed video frame data; obtaining frame attribute information of the to-be-coded video frame; determining a quantization mode of the to-be-coded video frame based on the frame attribute information of the to-be-coded video frame, wherein the quantization mode is one of dependent quantization and independent quantization, wherein the dependent quantization needs to depend on the quantization result before the current to-be-quantized coefficient, and the independent quantization does not need to depend on the quantization result before the current to-be-quantized coefficient; and performing quantization processing on the transformed video frame data based on the quantization mode of the to-be-coded video frame to obtain a quantization result. Through the application, the quantization mode can be determined based on the frame attribute information of the video frame, and the quantization flexibility is improved.