25results about How to "Reduce acquisition time" patented technology

The invention discloses a vehicle time history response calculation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a mass matrix, a damping matrix and a stiffness matrix of a to-be-tested vehicle; inputting the mass matrix, the damping matrix and the stiffness matrix into a pre-constructed time history response calculation model; according to the mass matrix, the damping matrix and the stiffness matrix, the time history response of the to-be-tested vehicle is calculated through a time history response calculation model; wherein the time history response comprises a displacement vector, a speed vector and an acceleration vector. According to the embodiment of the invention, the calculation efficiency can be remarkably improved while the calculation precision is ensured, and the method is suitable for time-history response analysis of the key structure of the commercial vehicle under the complex dynamic load.

This invention relates to a super-resolution reconstruction method for UAV images of kiwifruit sunburn. Compared with existing technologies, it solves the problems of poor model generalization due to the lack of accurate modeling of the actual physical degradation of UAVs, and the difficulty of feature extraction networks in simultaneously considering global semantics and local high-frequency lesion details, resulting in blurred reconstruction. The invention includes the following steps: acquisition and preprocessing of UAV images of kiwifruit sunburn; generation of multi-scale paired datasets; construction of a super-resolution reconstruction model for kiwifruit sunburn images; training of the super-resolution reconstruction model for kiwifruit sunburn images; acquisition and preprocessing of UAV images; and super-resolution reconstruction of UAV images. This invention significantly eliminates boundary artifacts in image processing by constructing a multi-scale attention and spatial-frequency fusion mechanism, accurately restoring the high-frequency edge texture details of small lesions at different scales, and reducing data acquisition time.

The application discloses a current measurement method and device for a nanopore, computer equipment and a storage medium. According to preset rules, detection channels are grouped according to the number of the detection channels, and a plurality of detection channel groups are obtained. Each detection channel group is configured with the same protocol. After the existing grouping rules are used to group the detection channels, the same protocol is used for detection, so that each detection channel group can perform matched detection on the nanopore, and the integrity and accuracy of the nanopore detection data are ensured. According to user acquisition demand information and a preset channel sampling frequency, measurement time information of each detection channel in each detection channel group is determined to obtain measurement time corresponding to the user acquisition demand. The detection channels of the existing detection channels in different time intervals can be determined, and the acquisition time is reasonably distributed, so that the nanopore is processed to obtain acquisition data, the acquisition time is greatly shortened, and the acquisition efficiency is improved.

This application discloses a magnetic resonance chemical exchange saturation transfer imaging method, system, device, and storage medium. The method includes: applying a radio frequency saturation pulse for a first preset time to a region to be detected; applying a radio frequency echo pulse to the region to be detected and acquiring several gradient echo signals generated after activation by the radio frequency echo pulse; and using radial sampling to read the gradient echo signals along a preset direction to generate a magnetic resonance image. Through this method, this application effectively shortens the signal acquisition time by using gradient echo readings, effectively suppresses motion artifacts by using radial acquisition, and applies post-processing methods such as fitting to the acquired chemical exchange saturation transfer imaging spectral data to achieve water-lipid signal separation and extract and analyze the target signal.

This invention proposes an intelligent remote emergency rescue management system capable of rapidly matching resources, relating to the field of remote emergency medical technology. The alarm receiving module triggers the case analysis module to generate priorities, the resource scheduling module allocates instructions to the drone control module, and after the drone completes deployment, the information matching module generates navigation information. Data from the person scanning the code is fed back to the system via the data association unit, forming a complete closed loop of resource scheduling-deployment-feedback. Through real-time data interaction between modules, the traditional emergency resource matching time is shortened from 10-20 minutes to within 2 minutes, while simultaneously improving the accuracy and utilization rate of drone AED deployment, achieving a qualitative leap in emergency response efficiency.

This invention discloses a remote emergency rescue command and dispatch system based on multi-network convergence, including a traffic accident scene perception module, a multi-network converged communication module, an intelligent information processing module, and a remote command and dispatch module. The traffic accident scene perception module is used to capture video, vehicle speed, and location information of the monitored scene in real time and identify whether a traffic accident has occurred at the monitored scene. The multi-network converged communication module is used to integrate communication networks to ensure the real-time and stable transmission of monitoring scene information to the remote emergency rescue command and dispatch system. The communication network includes mobile communication networks, satellite communication networks, and wired networks. The intelligent information processing module is used to quickly analyze, process, and identify the received information and extract key rescue information. The remote command and dispatch module is used to dispatch and command rescue resources based on the information provided by the traffic accident scene perception module and the intelligent information processing module. This invention has the characteristics of strong practicality and high rescue efficiency.

The utility model belongs to medical instrument technical field, concretely relates to a lung cancer tissue sample rapid collection device, including sampling cylinder, one end of sampling cylinder is provided with outer needle tube, the outer needle tube is connected with sampling cylinder and forms the communication structure through luer joint, and the end of outer needle tube is handled with open blade, the inside of outer needle tube is provided with inner needle rod, one end of inner needle rod extends to the inside of sampling cylinder from the inside of outer needle tube, and the outside of inner needle rod is provided with spiral blade, the inside of sampling cylinder is slidably connected with piston, and inner needle rod is fixedly connected with piston, the end of piston away from inner needle rod is fixed with threaded column. This utility model can utilize the spiral cutting characteristic of spiral blade, shorten sample acquisition time, and the spiral winding mode can keep the tissue form completely, reduce sample fragmentation and loss, through the threaded transmission structure of threaded column and split nut, medical staff can accurately control the advancing depth of inner needle rod, ensure the accuracy of sample collection position.

The invention relates to the technical field of IPTV, and discloses an IPTV-based playing control method, device and equipment and a medium, and the method comprises the steps: carrying out the semantic extraction of a description text of a public opinion event and the professional knowledge of the public opinion event, and obtaining a semantic vector of the public opinion event; generating a popularity index of the description text of the public opinion event, when the popularity index is greater than a preset index, performing emotion recognition on the description text of the public opinion event by adopting an emotion recognition model to obtain an emotion tag, and integrating the name of the public opinion platform, the description text of the public opinion event, the emotion tag and the popularity index to obtain public opinion prompt content. And splicing the semantic vector of the public opinion prompt content, the semantic vector of the alarm event and the semantic vector of the work order event to obtain a fusion vector, processing the fusion vector through a large language model, and generating a play control strategy of the IPTV live broadcast content. According to the invention, the playing control efficiency of the IPTV live broadcast content can be improved.

The invention relates to the technical field of digital assets and the technical field of data right confirmation, and discloses a scheduling scheme obtaining method and device based on digital assets, equipment and a medium, and the method comprises the steps: obtaining text information, image information and structured field information of the digital assets; performing fusion operation on the semantic vector of the text information, the semantic vector of the image information and the semantic vector of the structured field information to generate a multi-modal fusion vector of the digital assets; integrating the multi-modal fusion vector of the digital assets, the metadata set of the digital assets, the fingerprint set of the digital assets, the dependency graph of the digital assets and the strategy parameters of the digital assets to generate an uplink demand of the digital assets; processing the uplink demand of the digital assets through a dynamic scheduling strategy to obtain a plurality of candidate scheduling schemes; and determining an optimal scheduling scheme of the digital assets based on the fitness function and the plurality of candidate scheduling schemes. According to the invention, the acquisition efficiency of the optimal scheduling scheme of the digital assets can be improved.

This utility model discloses a lake survey stratification water sampling device, including: a mounting frame, a mounting plate, a control unit, and water sampling bottles; multiple water sampling bottles are arranged circumferentially on the outer wall of the mounting plate, and a fixing mechanism is fixedly installed on the outer wall of the multiple water sampling bottles. The fixing mechanism includes a fixing part and a pushing part. The fixing part is used to fix the water sampling bottles and the mounting plate, and the pushing part is used to push the fixing part to move. This utility model provides a fixing mechanism on the outer wall of the water sampling bottles. When the water sampling bottles are placed on the outer wall of the mounting plate, a first push rod is pushed, which causes the fixing rod to move up and down to align the fixing rod with the mounting groove. The first push rod is then released, and the elastic force of a first spring pushes the first push rod to move. The movement of the first push rod causes the fixing rod to move, so that the fixing rod is inserted and connected to the mounting groove, thereby fixing the water sampling bottles to the mounting plate. This allows for quick installation and removal of the water sampling bottles, reducing the difficulty of operation and saving collection time.

The application discloses a geostress testing device and method for rock mass drilling acoustic wave information collection, which comprises an acoustic wave emitting component, an acoustic wave receiving component and an inflation component. The acoustic wave emitting component comprises a first air bag, an acoustic wave emitter arranged on the first air bag and a first traction device connected with the first air bag. The acoustic wave receiving component comprises a second air bag, an acoustic wave receiver arranged on the second air bag and a second traction device connected with the second air bag. The traction device is used for driving the air bags to move to a specified position. The first air bag and the second air bag are connected with the inflation component, so that the acoustic wave emitter and the acoustic wave receiver are in contact with the hole wall. The coupling design of the traction device and the air bag is adopted to drive the movement of the acoustic wave emitter and the acoustic wave receiver, and the acoustic wave emitter and the acoustic wave receiver are closely attached to the hole wall, so that the problem that water needs to be used as a sound wave propagation medium in the hole during the acoustic wave data collection is solved, and the influence of air in the hole on the sound wave propagation is reduced.

This invention relates to the fields of robotics and information technology, and discloses a visual servoing method, apparatus, device, and medium based on a diffusion model. The method includes: forming a training sample by combining a preset tool image, a preset teaching image corresponding to the preset tool image, and a real desired image corresponding to the preset tool image; training a diffusion model based on the training sample; stopping the training of the diffusion model when the total loss value is less than a preset value, thus obtaining a trained diffusion model; fusing the feature vectors of the current tool image and the current teaching image to obtain a second fused vector; processing the second fused vector through a decoder in the trained diffusion model to obtain the current desired image; transmitting the current desired image to the robot's visual servoing system, and controlling the visual servoing system to adjust the position and orientation of the current tool according to the current desired image. This invention can provide the current desired image to the robot's visual servoing system.

This invention provides a tear collection patch, comprising, from near to far from the eye, a biomimetic flexible substrate, a superhydrophilic drainage layer, a storage cavity, and a sealing cap. The superhydrophilic drainage layer includes a hydrophilic medical fiber membrane and a superhydrophilic coating. The hydrophilic medical fiber membrane is prepared by electrospinning medical hydrophilic fibers, and the superhydrophilic coating is formed by immersing the hydrophilic medical fiber membrane in a superhydrophilic coating solution and then curing it. The biomimetic flexible substrate has a biomimetic adhesive layer that automatically adheres to the target location. The superhydrophilic drainage layer absorbs tears into the storage cavity. This invention achieves instantaneous tear absorption and painless adhesion by designing a drainage layer with superhydrophilic properties and a biomimetic adhesive substrate working synergistically. The biomimetic adhesive substrate reduces the risk of corneal irritation, ensuring that the collected tears are in a normal physiological state rather than due to stress secretion, thus solving the problems of reliance on manual operation and low efficiency in traditional collection methods.

This invention provides a broadband atomic terahertz detection method and apparatus, relating to the field of terahertz detection and imaging technology. The method includes: generating a time-coded sequence using an arbitrary waveform generator; controlling a microwave switch to perform orthogonal coding modulation on a terahertz field to generate a terahertz differential signal carrying coded information; applying the terahertz differential signal to Rydberg atoms in an atomic gas cell to convert terahertz information into changes in the transmitted light intensity of the probe light, and converting the optical signal into an electrical signal; synchronously demodulating and acquiring the electrical signal to generate a measurement vector; and reconstructing the original terahertz time-domain waveform from the measurement vector using a compressed sensing reconstruction algorithm. This invention, by combining superheterodyne detection and time-domain computational imaging algorithms, overcomes the physical limitations of the bandwidth of atomic detectors, achieving rapid and high-resolution detection of broadband terahertz signals while maintaining their high sensitivity advantages.

The invention relates to the technical field of artificial intelligence and the technical field of auditing, and discloses an auditing method, device and equipment based on a visual language model and a large language model.The method comprises the steps that visual features of a processed business license image, text features of processed declaration content and text features of the business license image are fused, and the visual features of the business license image, the text features of the processed declaration content and the text features of the business license image are fused; generating fusion features of the current declaration material; querying the fusion feature of the current declaration material through a query interface to obtain an auditing rule of the current declaration material, performing feature extraction on the auditing rule of the current declaration material, generating a feature of the auditing rule of the current declaration material, and sending the feature to a server; and inputting the fusion features of the current declaration material and the features of the auditing rule of the current declaration material into the trained large language model, and generating an auditing conclusion of the current declaration material through the trained large language model. According to the invention, the acquisition efficiency of the auditing conclusion of the current declaration material can be improved.

The invention provides an atomic gravimeter Raman light optimal angle rapid calibration method and device, and the method comprises the steps: selecting a plurality of auxiliary calibration states in a positive and negative preset angle range of an initial calibration state according to the initial calibration state of an atomic gravimeter, and obtaining an auxiliary gravity value corresponding to each auxiliary calibration state, through the value of the preset angle range, the difference between the auxiliary gravity value corresponding to the auxiliary calibration state and the gravitational acceleration of the second place can be almost ignored, so that the auxiliary gravity value corresponding to one of the auxiliary calibration states is regarded as the local gravitational acceleration, and on the basis, the gravitational acceleration of the second place is calculated. According to all the auxiliary calibration states and the auxiliary gravity value corresponding to each auxiliary calibration state, the corresponding optimal calibration state of the atomic gravimeter at the second place is obtained; through the design, a large number of angle points do not need to be scanned and traversed, and the number of the scanned angle points is reduced, so that the data acquisition time is shortened, and the calibration efficiency is greatly improved.

The super-hole collimator for gamma photon detection and the nuclear medicine imaging system provided by the utility model are provided with the collimator plate, the plurality of collimating holes which are irregularly distributed or randomly distributed are formed in the collimator plate, and when radioactive rays in an imaging view pass through the collimating holes and then form projection overlapping on a gamma photon detector, the radioactive rays are irradiated by the gamma photon detector. The orientation of the collimation hole should meet the requirement that the normal vector of the central plane of the collimation hole passes through the center of the imaging view, and the field angle of the collimation hole should meet the requirement that the extension lines of the two edges of the collimation hole are tangent to the imaging view. According to the multi-pinhole collimator, the limitation of a pinhole arrangement mode in a traditional multi-pinhole collimator on the number of pinholes is effectively overcome, a certain number of collimation holes are randomly arranged on the collimator, and the number of the collimation holes is far larger than that of the pinholes in the existing multi-pinhole collimator; the projection overlapping area of radioactive rays on the detector after passing through all the collimation holes in the imaging view field is improved, a super-hole collimator is formed, and the detection efficiency is remarkably improved on the premise that the image resolution is guaranteed.

The invention relates to the technical field of artificial intelligence, can be applied to the field of intelligent medical treatment, and discloses a health management plan acquisition method, device and equipment based on a health evaluation result, and the method comprises the steps: enabling health data of a preset user and the health evaluation result of the preset user to form training samples, enabling different training samples to form a data set, and enabling the data set to form a data set; dividing the data set into a training set and a test set; training the artificial intelligence model by adopting the training set to obtain a loss value of the artificial intelligence model on the training set; when the loss value meets a convergence condition, selecting the trained artificial intelligence model as a health evaluation model; obtaining a performance evaluation value of the health evaluation model on the test set; and processing the health data of the current user through the health evaluation model to obtain a health evaluation result of the current user, and determining a health management plan of the current user based on the health evaluation result of the current user. The method is beneficial for improving the efficiency of obtaining the health management plan of the current user.

The application discloses a tissue culture method using maple zygotic embryos as explants and relates to the technical field of plant tissue culture.The method comprises the following steps: S1, cutting the zygotic embryos of immature maple fruits and inoculating the zygotic embryos onto a callus induction culture medium to induce callus; S2, transferring the callus induced in S1 to a bud induction culture medium to induce adventitious buds; and S3, inoculating the adventitious buds formed in step S2 into a strong seedling rooting culture medium to induce rooting, directly forming regenerated seedlings and carrying out transplanting culture.Compared with the culture methods using other maple tissues as explants, the method is more convenient, has higher genotype universality and is more efficient in propagation.

The utility model relates to the technical field of zooplankter detection sampling devices, and discloses a sampling device for detecting zooplankter in a lake, which comprises a fixing ring, and an indicator is arranged at the top of the fixing ring. By rotating a rotary button, a second rotary column drives a third gear to rotate, then a second gear rotates along with a chain, a first rotary column rotates along with the second gear and drives a first gear to rotate, a rack ring drives a protruding plate to rotate, and then a rotary disc rotates on the inner wall of a limiting ring; then, an electric push rod is started to enable the output end of the electric push rod to drive a rotating disc to move upwards, so that a convex column on a convex plate penetrates through a hole in a filter screen, leaves or garbage on the filter screen are propped out, and the filter screen is prevented from being blocked by the leaves or the garbage; the phenomenon that leaves or garbage on the filter screen is manually removed is avoided, so that the collection time is shortened, and the collection efficiency is improved.

The present application relates to a kind of based on three-dimensional laser point cloud and the automatic segmentation and measurement method and system of pavement disease of deep neural network, including point cloud data acquisition, point cloud data is converted to image data, making disease segmentation dataset, detection model construction and training and based on the spatial form measurement of pavement disease of detection result;While converting, labeling, segmentation, statistical method is encapsulated and merged, obtains a input point cloud data, and the automatic segmentation measurement system of pavement disease of output disease detection result image and spatial form parameter.This application is based on laser point cloud data, realizes from laser point cloud original data to the whole process automation and intelligentization of identification result, is conducive to improving the efficiency of asphalt pavement disease detection.

The invention belongs to the technical field of structural vibration control experiments, and relates to a neural network training-oriented flexible structure wind-induced vibration experiment device and method. The experimental device comprises an aeroelastic model and an actuating mechanism, the aeroelastic model supports a base, a screw, a support plate, a wind shield and a top cover, the actuating mechanism comprises a rotating steering engine and a wing plate capable of rotating, an angle measuring mechanism is mounted on the wing plate, a pair of vibration acceleration measuring mechanisms is mounted on a cover plate, and the rotating steering engine is connected with a microcontroller. The experimental method comprises the following steps: putting the experimental device into an atmospheric boundary layer wind tunnel or tornado simulator, connecting a computer, changing the aerodynamic shape and wing plate angle of the aeroelastic model, and transmitting the transverse wind direction and downwind direction vibration acceleration of the aeroelastic model to the computer; and testing and data acquisition of the aeroelastic model under different configurations are carried out in a circulating manner. According to the method, the data acquisition amount is large, massive and complex random aerodynamic configuration combinations can be generated, and the data acquisition efficiency is remarkably improved.

The invention provides a spectral absorption three-dimensional imaging system and method based on parallel light beams and area array detection, relates to the technical field of optical precision measurement and tomography, and aims to solve the problems that high time and high spatial resolution, low system complexity and low cost cannot be compatible at the same time and three-dimensional field distribution cannot be quickly reconstructed with high precision in the prior art. The system comprises a laser emission and modulation module, a beam shaping module, a to-be-measured area, an area array sensor and a data processing module. The light beam shaping module, the to-be-detected area and the area array sensor are arranged on the same plane axis, the light beam shaping module comprises a first collimating mirror and an imaging module which are sequentially connected along a light path, the first collimating mirror forms parallel light beams, and the imaging module performs multi-angle rear two-dimensional imaging; and the area array sensor is electrically connected with the data processing module, is processed and controlled by the upper computer, and reconstructs a two-dimensional image into a three-dimensional field. According to the invention, problems in the prior art are solved, and rapid and high-precision three-dimensional imaging is realized.

This invention discloses a semantic search and distributed scheduling method for immersive scene resources, comprising the following steps: S1, decoupling and encoding of multi-dimensional semantic features of the scene based on a pre-trained language model; S2, asset retrieval based on multimodal contrastive learning and physical attribute completion based on GCN; S3, incremental hash comparison and dynamic bandwidth optimization scheduling based on an edge computing environment; S4, engine architecture alignment and metadata self-repair algorithm based on a directed acyclic graph (DAG). Simultaneously, a semantic search and distributed scheduling system for immersive scene resources is also disclosed, including: an NLP intent modeling and decoupling engine: mapping long text to a feature matrix; a cross-modal retrieval and attribute graph hub: connecting internal and external databases; a global bandwidth and edge scheduler: data block deduplication and dynamic bandwidth high-load balancing computation; and an engine-side dependency stream repair plugin: DAG topology analysis and underlying metadata path overwriting. This invention can significantly reduce the cost of acquiring materials and improve deployment stability.