152results about How to "Strong application value" patented technology

The invention provides a flow monitoring method and device for a 3D printing extruder, and relates to the technical field of additive manufacturing, and the method comprises the steps that material flow data are collected in real time through a multi-dimensional sensor array installed in the 3D printing extruder; transmitting the collected real-time flow data to a control system, and judging whether the material flow is within a preset range or not; according to the deviation between the flow data monitored in real time and the target flow, working parameters of the extruder are automatically adjusted, and adjustment is conducted through a closed-loop feedback control system till the flow is stable; and in the extrusion process, if flow data monitored in real time exceeds a normal working range, an abnormal alarm is triggered, and a corresponding fault processing program is started. The material flow can be accurately monitored in real time, and the working parameters of the extruder can be automatically adjusted according to the monitoring result, so that the stable supply of the material and the quality of the printing process are ensured.

The invention discloses a vehicle visual relay tracking method based on spatial-temporal feature fusion, and belongs to the technical field of intelligent traffic. After a multi-target tracking trajectory of each camera on a road is obtained, the method comprises the following steps: establishing a camera space-time constraint based on a topological relation between the cameras and the road, performing trajectory compatibility judgment based on the camera space-time constraint, and filtering out incompatible trajectory pairs; modeling the trajectory of the target vehicle into a graph, and calculating the similarity of compatible trajectory pairs based on a graph convolutional neural network; based on the trajectory similarity, the multi-camera trajectory association problem is decomposed, hierarchical clustering is performed on the trajectory by using a heap data structure, and the global association trajectory of each target vehicle is obtained step by step. According to the method, the efficiency and accuracy of track association are improved, the calculation efficiency is optimized, and vehicle tracking in a complex scene and under multiple cameras can be dealt with.

The invention discloses a circuit logic reconstruction and process mapping method and device based on structure selection. The method comprises the following steps: reading and analyzing target design circuit information; one-to-one mapping and node collection; node priority cutting enumeration and maximum fan-out free cone calculation are carried out; calculating candidate equivalent nodes; creating a hybrid structure selection network; and performing logic reconstruction or process mapping. According to the method, related advantages and characteristics of structure selection are utilized, the structure advantages of various logic expressions are effectively combined, and various logic optimization strategies and process mapping are combined, so that the problem of structure deviation in a logic synthesis stage is solved, and the result quality of logic reconstruction and process mapping is improved. According to the method, logic optimization and process mapping are effectively combined, the performance is excellent, logic optimization and mapping results are obviously improved, a good experimental result is shown, a new research idea is provided for logic reconstruction and process mapping in logic synthesis, and the method has high engineering practical significance and application value.

The invention discloses a circuit level optimization method based on NAND and XOR majority logic, which comprises the following steps of: analyzing target design circuit information to obtain an NAND graph AIG; logic optimization with the optimization node number as the target is executed on the AIG; the AIG after node number optimization is logically converted into an XOR majority logic diagram XMG; logic optimization with the optimization logic hierarchy as the target is executed on the XMG obtained through logic conversion; the XMG after logic hierarchy optimization is logically converted into an AIG; logic optimization with the optimization logic hierarchy as the target is executed on the AIG obtained through logic conversion; and executing time delay-oriented process mapping on the AIG after logic hierarchy optimization, and generating and outputting a process gate-level netlist. According to the method, the logic optimization processes of the AIG and the XMG are effectively combined, the local optimization problem in optimization is improved, the adaptability to a specific design target is enhanced, the optimization efficiency and effect of large-scale circuit design are improved, and a better circuit after logic optimization is obtained.

The invention discloses a quantitative characterization method for the roughness degree of a high-speed remote landslide motion path, and belongs to the technical field of geological disasters, and the method comprises the steps: firstly obtaining remote sensing image data of a target landslide, DEM digital elevation data of the target landslide and landslide boundary data of the target landslide, and obtaining elevation data of the motion path of the target landslide through processing; carrying out detrending to obtain elevation data of the landslide motion path microtopography; and according to the elevation data of the landslide motion path microtopography, performing calculation based on a joint contour line fractal dimension calculation method to obtain the fractal dimension of the target landslide motion path after detrending, and performing calculation to obtain the path roughness coefficient of the target landslide. According to the method, the calculation process is simple, the application range is wide, the roughness degree of the high-speed remote landslide motion path can be quantified under different spatial scales, the influence of the microtopography in the landslide motion process is fully revealed, and more comprehensive roughness characterization is provided.

The invention relates to a single-leg hydraulic power-assisted exoskeleton control method and device under heavy load and an exoskeleton. The control method for the single-leg hydraulic power-assisted exoskeleton under the heavy load comprises the steps that pump valve flow distribution of all the joints is conducted according to the expected flow alpha2p of a rod cavity and the expected flow Q1m of a rodless cavity of a hydraulic cylinder in all the joints, then the control voltage of a variable-speed pump and a servo valve corresponding to all the joints is obtained, and the action of the single-leg hydraulic power-assisted exoskeleton is controlled; the pump valve flow distribution method comprises the steps that the control voltage of the variable-speed pump corresponding to the hydraulic cylinder i and the control voltage of the servo valve corresponding to the hydraulic cylinder i are determined, and the pump control part and the valve control part are controlled according to the control voltages. According to the heavy-load single-leg hydraulic power-assisted exoskeleton control method, the scheme that the pump provides low-frequency flow and the valve provides high-frequency flow is adopted for flow distribution, the problem of flow distribution caused by non-negligible oil compressibility under the heavy load is solved, and system energy consumption under the heavy load is reduced.

The invention relates to the technical field of biology, and particularly discloses a method for removing lactulose-based isomers in an oligosaccharide separation and purification process. The method comprises the following steps: taking oligosaccharide fermentation liquor for producing oligosaccharide through fermentation by using lactose as a substrate, sequentially carrying out thallus removal, decoloration, electrodialysis desalination, ion exchange resin desalination, concentration, sequential simulated moving bed chromatographic purification, ultrafiltration, re-concentration and spray drying, and detecting the oligosaccharide and the lactulose-based isomer in the oligosaccharide. According to the method disclosed by the invention, the content of lactulose-based isomers in the separation and purification process is greatly reduced, so that the product purity is effectively improved; the method can be applied to the synthesis process of other milk oligosaccharides such as fucose lactose (FL), lactose-N-tetraose (LNT), lactose-N-neotetraose (LNnT), lactose-N-fucopentasaccharide (LNPFI) and the like or other carbohydrates containing a lactosyl group, has a very high application value, and accords with laws and regulations.

The invention discloses a vehicle motion trail prediction method and system, and belongs to the technical field of surface mine unmanned driving. The method comprises the following steps: preprocessing vehicle motion trail data collected in real time, inputting the preprocessed vehicle motion trail data into a pre-trained machine learning model, and predicting to obtain a motion trail of a vehicle at a future moment; determining the grade of the collision risk according to the predicted motion track of the vehicle at the future moment, and providing an early warning signal according to the grade of the collision risk; the method is suitable for mining vehicles, and can solve the problems of low prediction precision and slow response speed.

The invention relates to a method for assisting ground user communication by a multi-antenna unmanned aerial vehicle, belongs to the field of unmanned aerial vehicle assisted communication, and solves the limitation of a single-antenna unmanned aerial vehicle in the aspects of signal concentration and directional transmission. Comprising the following steps: constructing a multi-antenna unmanned aerial vehicle assisted multi-ground user communication system, and calculating a steering vector from an unmanned aerial vehicle to each ground user; calculating a channel gain from the unmanned aerial vehicle to each ground user based on the steering vector; calculating a communication rate between the unmanned aerial vehicle and each ground user based on the channel gain; constructing an unmanned aerial vehicle assisted ground user communication optimization model which takes maximization of the average communication rate between the unmanned aerial vehicle and multiple ground users as an optimization objective function and meets user scheduling constraints, unmanned aerial vehicle communication performance constraints, unmanned aerial vehicle transmitting power constraints and unmanned aerial vehicle flight trajectory constraints; and solving the unmanned aerial vehicle assisted ground user communication optimization model to obtain an optimal communication solution of the unmanned aerial vehicle and the multiple ground users. And the signal can accurately reach the ground user.

According to the sighting telescope for detecting the unmanned aerial vehicle and the control method of the sighting telescope, a view field area is scanned mainly through active narrow-band near-infrared laser, remote detection and discovery of peeping photoelectric equipment of the unmanned aerial vehicle can be achieved, and the sighting telescope is small in system size and low in cost. According to the main technical scheme, the sighting telescope of the detection unmanned aerial vehicle is characterized in that a laser emitting module is used for emitting detection laser; the imaging assembly is used for acquiring image information; the main control module is connected with the laser emitting module, the imaging assembly and the display module, the main control module is used for controlling the laser emitting module to emit laser and extracting unmanned aerial vehicle information according to the image information, and the display module is used for displaying according to the image information and the unmanned aerial vehicle information. The invention is mainly used for laser detection.

The invention relates to the technical field of microorganisms, in particular to paenibacillus polymyxa ZR-4 and application of the paenibacillus polymyxa ZR-4, the paenibacillus polymyxa ZR-4 is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation address is No.3, No.1 yard, West Beichen Road, Chaoyang District, Beijing, the preservation date is May 17, 2024, and the preservation number is CGMCC No.30589. The paenibacillus polymyxa ZR-4 is named as Paenibacillus polymyxa ZR-4. The paenibacillus polymyxa ZR-4 provided by the invention not only can promote the growth of plants such as strawberries, corns and rice, but also has a biological control effect on agricultural diseases such as strawberry gray mold and corn southern leaf blight, has an excellent antagonistic effect on pathogenic bacteria of various plant diseases, and has a wide application prospect and development space.

The invention relates to the technical field of image classification, in particular to an image classification method and system based on potential domains and category diversity. The method comprises the following steps: acquiring image data, including acquiring image data of a source domain and a target domain; preprocessing the image data of the source domain and the target domain; constructing a domain adaptive image classification model; performing model training on the constructed domain adaptive image classification model; and carrying out image classification by using the trained domain adaptive image classification model. According to the method, the distribution difference of the source domain and the target domain is gradually aligned by generating the potential domain, and the source domain, the potential domain and the target domain are consistent in feature distribution by adopting a class-level and domain-level multi-level alignment strategy, so that the precision of the model in a cross-domain classification task is remarkably improved.

The invention relates to the technical field of medicines, in particular to an antibacterial composition as well as a preparation method and application thereof. The invention provides an antibacterial composition. The antibacterial composition is prepared from the following components in parts by mass: 0.039 to 0.3125 part of SU3327 and 62.5 to 500 parts of citric acid. The combined use of the SU3327 and the citric acid can effectively kill and / or inhibit vibrio parahaemolyticus, escherichia coli, salmonella, acinetobacter baumannii, staphylococcus aureus, klebsiella pneumoniae and staphylococcus pseudointermediates, and the use amount of the SU3327 in the medicament for treating bacterial infection is greatly reduced; and the compound shows extremely high application value in the process of preparing medicines for treating bacterial infection.

The invention provides a recombinant Aspergillus niger strain with high yield of trans-aconitic acid, and belongs to the technical field of gene engineering. The recombinant aspergillus niger strain can simultaneously express aconitase and aconitic acid isomerase. According to the genetic engineering aspergillus niger strain provided by the invention, the trans-aconitic acid fermentation yield is generally higher than that of an original strain, and the strain with the highest yield can reach 51g / L on a shake flask level, so that the genetic engineering aspergillus niger strain has very high application value.

The invention discloses a scenic spot intelligent management and control system and method based on Internet of Things and big data analysis, and particularly relates to the technical field of scenic spot intelligent management and control. The real-time performance of data transmission between devices in a scenic spot is predicted and modeled through a big data analysis algorithm, the data transmission rate between the devices is adjusted according to a prediction result, and meanwhile, the working state of the devices is dynamically scheduled in combination with an energy management system, the energy efficiency of the devices is optimized, and tourist flow data is recollected. The flow fluctuation is analyzed by using a machine learning algorithm, so that accurate personnel dispersion and resource scheduling optimization decision are realized, the problems of insufficient network bandwidth, data transmission delay and packet loss in a scenic spot are effectively solved, the real-time performance and accuracy of data transmission are improved, and especially in a remote area, the real-time performance of the scenic spot is improved. The intelligent management and control system of the scenic area can reflect dynamic conditions in real time, and the management efficiency and tourist experience are improved.

The invention discloses a road surface disaster detection method and system, electronic equipment and a storage medium, and relates to the technical field of intelligent traffic management and computer vision, and the method comprises the steps: collecting image data containing a plurality of road surface disaster types, carrying out the data marking in each image data, and carrying out the data marking; a data sample is constructed through each piece of image data subjected to data annotation; training the improved YOLOv10 model by using the data sample until a loss function of the improved model reaches a preset end condition, and determining the improved model of which the loss function reaches the preset end condition as a disaster detection model; acquiring a to-be-detected image of a to-be-detected road surface, and inputting the to-be-detected image into the disaster detection model for processing to obtain a disaster detection result of the to-be-detected road surface, the disaster detection result including a disaster type and a disaster position; by combining the deep learning technology and optimization algorithm design, the problem that the existing method is insufficient in detection precision, robustness and applicability is solved.

The invention belongs to the technical field of highway engineering materials, and discloses a comprehensive evaluation system and method for the performance of a crack pouring adhesive of an asphalt pavement in a seasonal frozen region. Through short-term and long-term aging tests, evaluation indexes such as a penetration ratio, a compression elastic recovery rate and low-temperature stretching are added, and an entropy weight-TOPSIS combination method is adopted, so that the performance of the crack pouring adhesive of the asphalt pavement in the seasonal frozen region is comprehensively evaluated. And constructing an index evaluation model suitable for the working performance of the asphalt pavement crack pouring adhesive in the seasonal frozen region. The test result shows that the control standards of the penetration ratio and the compression elasticity recovery rate after short-term aging are respectively 90% and 30%, and the control standards of the penetration ratio and the compression elasticity recovery rate after long-term aging are respectively 50% and 20%. By adopting the entropy weight-TOPSIS method, whether the sample is qualified or not can be judged, and the advantages and disadvantages of the sample can be comprehensively judged according to the evaluation result of each index. Research results are helpful for improving the application effect and durability evaluation level of the crack pouring material, and supplement and reference data are provided for performance evaluation and standard revision of the crack pouring adhesive in the cold region.

The invention relates to the technical field of lithium ion batteries, in particular to a performance normalization regeneration method for negative electrode graphite of a multi-source retired lithium ion battery. The regeneration method comprises the following steps: mixing a multi-source decommissioned lithium ion battery negative electrode graphite raw material according to a certain proportion to obtain a multi-source mixed invalid graphite raw material; and adding the obtained multi-source mixed invalid graphite raw material into a graphite device, and carrying out flash discharge treatment to obtain regenerated graphite. The performance normalization regeneration method for the negative electrode graphite of the multi-source retired lithium ion battery is high in adaptability to raw materials, and can be used for repairing common retired negative electrode graphite materials in the market. According to the regeneration method, re-graphitization of the decommissioned negative electrode graphite is achieved through the flash discharge technology, the technological process is short, economical and environmentally friendly, needed equipment is simple, cost is extremely low, and the regeneration method has very high application value and remarkable economic benefits.

The invention discloses a PET plastic degrading enzyme LCC mutant as well as a protein crystal and application thereof, and relates to the technical field of biology, the LCC mutant is obtained by modification on the basis of a wild PET plastic degrading enzyme LCC, and the amino acid sequence of the LCC mutant is shown as SEQ ID NO.1. Compared with a wild type LCC, the LCC mutant has higher thermal stability, the Tm value of the LCC mutant is 91.30 DEG C, the protein Tm value of the wild type LCC is 86.76 DEG C and is increased by 4.54 DEG C compared with that of the wild type LCC, good activity is still kept, and the yield of the mutant LCC-M4 is 2 times higher than that of the wild type LCC. In addition, the invention further provides a protein crystal and a structure of the LCC mutant, and a research basis is provided for further modifying the PET plastic degrading enzyme LCC with high activity and high stability.

The invention discloses a deflection test device and method. The deflection test device comprises a side rod pushing system, a pre-tensioning system, a measuring system and a control system, according to the invention, the driving shaft is lifted to lengthen the sample, and preload is applied to the sample, so that the stretching of the tire internal pressure on the material can be simulated, and the actual stress state of the tire material can be reflected; the deflection degree of the sample deflection test can be adjusted by adjusting the displacement of the reciprocating motion of the side rod; according to the invention, by changing the head shape and width of the side rod head, different deflection shapes and non-uniform deformation of the test can be formed, and the real deformation condition of a tire grounding area can be simulated. According to the device, the deflection degree of a sample deflection test can be adjusted, different deflection shapes and non-uniform deformation of the test can be formed, the real deformation condition of a tire grounding area can be simulated, and a test basis is provided for measuring the deflection resistance of materials and structures.

The invention relates to the technical field of smart power grids, and discloses a regional electric vehicle charging pricing method and device. By analyzing an information interaction mechanism between an agent and an electric vehicle user and a dynamic feedback mechanism under an incompletely symmetrical information condition, a dynamic game structure which takes the agent as a dominant and makes a user follow a response is constructed, and a dynamic relation between a charging behavior of the electric vehicle user and an agent pricing strategy is clarified. And based on a dynamic game structure, constructing a regional electric vehicle charging pricing optimization model, and by taking user cost minimization and agent income maximization as targets, performing game solving by using the regional electric vehicle charging pricing optimization model to obtain an optimal pricing strategy and an optimal charging strategy. The method effectively improves the pricing flexibility of the agent and the charging cost optimization of the user, can achieve the reasonable distribution of charging resources and the optimization management of the operation of a power grid, has a good application value, and can be used for the operation and management of an actual charging network.

The invention relates to the field of computer vision, and discloses a few-sample semantic segmentation method based on prototype perception, comprising the following steps: S1, collecting and preprocessing a data set comprising a training set and a test set; s2, dividing all the images in the data set into four fols which are equal in size and are not intersected according to categories; s3, extracting features of the support image and the query image by using a pre-trained deep neural network; s4, based on the support image features and the query image features, performing cyclic consistency screening to obtain a credible query feature set; s5, iteratively optimizing a foreground prototype and a background prototype by using the credible query feature set, and performing feature matching based on the optimized prototypes; and S6, inputting a test image, performing semantic segmentation through the optimized model, and calculating a segmentation result. According to the method, through high-confidence feature matching, cyclic consistency screening and cascade prediction optimization, the accuracy and robustness of few-sample semantic segmentation are remarkably improved.

The invention discloses a scale and structure consistency image generation method fusing three-dimensional geometric prior, and belongs to the technical field of computer vision and image generation. The method comprises the following steps: acquiring a scene image and depth information corresponding to the scene image, reconstructing a scene point cloud containing pixel space coordinates and color information, acquiring a colored point cloud of an object to be inserted, placing the colored point cloud at a specified position of the scene through rigid body transformation, and unifying a coordinate system with the scene point cloud; projecting the transformed object point cloud to an image plane through a camera model, determining a visible point according to the depth, and constructing an insertion region mask to remove pixels of a region corresponding to a scene; then constructing a multi-channel geometric structure priori graph containing color, depth and other information, and splicing the multi-channel geometric structure priori graph with the cleared scene image to form a diffusion type generation model input; and finally, generating an image under geometric prior guidance, ensuring that the inserted object is consistent with the original scene in the aspects of position, scale, perspective and the like, solving the problem of insufficient geometric consistency of the existing method, and realizing image content insertion with an accurate structure and real vision.

The invention relates to a converter station valve hall water leakage monitoring method and system based on photon counters, and the method comprises the following steps: setting a line laser and a plurality of photon counters in a to-be-detected water leakage region, and illuminating the to-be-detected water leakage region of a converter station valve hall through the line laser; the photon number collected by the photon counter is sliced according to the form of time sequence data, and photon number time sequence data slices are obtained; the photon number time sequence data slices collected by each photon counter are analyzed respectively, and a water leakage monitoring judgment result of a single photon counter is obtained; and obtaining a water leakage monitoring judgment result of the to-be-detected water leakage area based on the water leakage monitoring judgment result of the single photon counter. Compared with the prior art, the method has the advantages of expanding the monitoring data dimension, improving the monitoring and judging speed and the like.

The invention relates to a joint task unloading and resource optimization design method in a communication-sensing-calculation integrated internet of vehicles, and belongs to the technical field of wireless communication. In the scheme, a task vehicle carries a communication-sensing integrated system, and needs to cooperatively complete a large task and independently complete respective sensing tasks; large-scale tasks can be split into a plurality of sequence dependent medium-scale tasks, and task vehicles can select local processing or unloading to service nodes. According to the method, an efficient task unloading and resource allocation algorithm is jointly designed, and an unloading strategy X, a power allocation strategy P and a bandwidth allocation strategy B are optimized, so that the maximum sub-task splitting number constraint, the maximum bandwidth constraint, the maximum transmitting power constraint, the vehicle communication range constraint and the vehicle radar sensing threshold constraint are satisfied; and the time delay of a large task is minimized. Simulation results show that the sensing performance is considered, the processing time delay of the large chain task in the communication, sensing and calculation integrated Internet of Vehicles is effectively reduced, and the method has very high application value and practical significance.

The invention provides recombinant aspergillus niger capable of producing trans-aconitic acid at high yield as well as a construction method and application of the recombinant aspergillus niger, and relates to the technical field of genetic engineering. Specifically, the recombinant aspergillus niger is used for heterologous expression of aconitic acid isomerase TbrA and / or Adi1. A new engineering strain is provided for efficient production of trans-aconitic acid, the source dilemma that plant extraction or chemical synthesis is needed in traditional production of trans-aconitic acid is solved, and the yield of trans-aconitic acid is greatly increased.

The invention discloses a micro-expression recognition method and system based on double-feature fusion. The method comprises the following steps: acquiring micro-expression data for training; using a micro-expression image feature extractor to obtain micro-expression single-frame features; gradient features between the expression generation frame features and the peak value frame features are calculated; calculating a motion feature between the expression generation frame and the peak value frame; obtaining gradient features and motion features after weighted fusion as complete micro-expression features; and inputting the complete micro-expression features into a classifier by using the classifier to predict the category to which the micro-expression features belong. Two complementary features are considered, a gradient feature learning module is used for calculating micro-expression gradient features, and a motion feature learning module is used for calculating micro-expression motion features. And combining a learnable fusion coefficient to obtain a complete feature. And finally, inputting the features into a classifier for emotion recognition.

The invention relates to the technical field of microorganisms, in particular to Pseudomonas S11 and application thereof, the Pseudomonas S11 is preserved in China Center for Type Culture Collection, the preservation address is No. 299, eight road, Wuchang District, Wuhan City, Hubei Province, the preservation date is March 21, 2022, and the preservation number is CCTCC NO: M2022294. The pseudomonas S11 provided by the invention not only can promote the growth of plants such as strawberries, corns and rice, but also has a biological control effect on agricultural diseases such as strawberry gray mold and corn southern leaf blight, has an excellent antagonistic effect on pathogenic bacteria of various plant diseases, and has a wide application prospect and development space.

The present invention discloses a real-time drilling parameter optimization method and system based on extreme value optimization, including obtaining logging engineering parameters under real-time working conditions, obtaining a rock breaking strength baseline under the optimal drilling state of the target well, constructing a rock breaking energy model under a composite working condition taking into account the output loss of the screw, calculating the virtual rock breaking strength, and determining the rock breaking efficiency and abnormal working conditions downhole in real time, and assisting in finding the unstable drilling parameter threshold under the composite drilling condition. Taking the rock breaking strength baseline as the adjustment target for minimizing the virtual rock breaking strength, comprehensively considering the above-mentioned unstable drilling parameter thresholds, a multivariable extreme value optimization algorithm is used to adjust the parameter combination, and finally obtain the recommended drilling parameter combination under the minimum virtual rock breaking strength. The present invention realizes the recommendation and optimization of the best drilling parameters based on the real-time virtual rock breaking strength calculation and optimization under the composite drilling condition, which can effectively avoid the blind spots of empirical drilling data and realize the optimization of drilling parameters throughout the process.

An ultra-wideband end-fire antenna with a common aperture embedded in a metal carrier includes a metal cavity with a coaxial cable compartment on one side. A radiator module is connected to the bottom of the metal cavity via a radiator fixing slot. The radiator module includes a common aperture antenna substrate. A low-frequency radiator is printed on the side of the common aperture antenna substrate closer to the coaxial cable compartment, and a high-frequency radiator is printed on the side farther from the coaxial cable compartment. This invention utilizes a dual-band antenna in a common aperture design to enhance the channel capacity and anti-fading capability of the communication system. At the same time, by achieving the antenna's carrier conformal characteristics, high isolation, and miniaturization, it enriches the antenna's application scenarios and improves the overall performance of the communication system.