10results about How to "Increase calculation rate" patented technology

The invention provides an autonomous navigation method and device for an inspection robot, the robot and a storage medium, and the method comprises the steps: obtaining image information, determining the visibility of an inspection environment based on the image information, determining an inspection working condition according to a comparison result of the visibility and a preset visibility threshold value, and carrying out the autonomous navigation of the inspection robot. If the inspection working condition is a daytime inspection working condition, determining a selectable path and first pose information of the inspection robot based on the image information, calculating the driving direction of the inspection robot in combination with the selectable path and the first pose information, and if the inspection working condition is a night inspection working condition, calculating the driving direction of the inspection robot based on a preset path and second pose information obtained in real time; calculating the driving direction of the inspection robot, taking the driving direction as a navigation result, and controlling the inspection robot to autonomously drive according to the navigation result; different driving direction determination modes are adopted under different inspection working conditions, and the flexibility of the autonomous navigation method of the inspection robot is embodied.

The invention provides a slurry permeation discrete element fluid-solid coupling optimization simulation method based on pore morphological characteristics, which comprises the following steps of: obtaining spatial geometric information of sand through a CT (Computed Tomography) scanning method and a digital three-dimensional reconstruction technology, and establishing an STL (Standard Template Library) three-dimensional graphic file of a sand stratum; and importing the STL file into a computational fluid dynamics-discrete element coupling program to establish a pore flow field grid and a discrete element wall boundary, and establishing a discrete element fluid-solid coupling calculation model, thereby realizing the calculation demand of restoring the formation pore morphology characteristics. In order to reduce the calculation amount and improve the calculation efficiency, the total number of slurry particles calculated in real time is reduced in a discrete element module through a method of circularly inserting belt speed particles and deleting filter-off particles. By utilizing the method, original size simulation can be carried out according to the actual shape of an actual stratum and the actual size of actual slurry particles, and a new thought is provided for the research method of the shield tunnel excavation face slurry permeation micromechanism.

The invention relates to the technical field of blast furnace ironmaking, and discloses a hearth erosion three-dimensional identification method, system and equipment and a storage medium. The method comprises the steps that a hearth is three-dimensionally segmented into a plurality of equal-angle block areas based on thermocouple position distribution; establishing a three-dimensional heat transfer calculation model of the hearth, and generating erosion control boundaries and measuring point temperature data sets under different erosion conditions of the partitioned regions; establishing a neural network model group for different block regions; performing offline model training on the neural network model group based on the erosion control boundary and the measuring point temperature data set to obtain a trained hearth erosion identification model group; and collecting actual temperature measurement data, inputting the actual temperature measurement data into the trained hearth erosion identification model group to output multiple groups of calculation results, and combining the multiple groups of calculation results to obtain a hearth erosion three-dimensional identification result. According to the method, the three-dimensional heat transfer calculation model of the hearth is established, the model training is completed offline by using the measuring point temperature data set in blocks, the hearth erosion identification result is rapidly given online according to the actual temperature measurement data, and the calculation rate is high.

The invention discloses a multi-cluster air computing network-oriented transmitting-receiving cooperation method and system, and belongs to the field of air computing in a wireless network, and the method comprises the steps: firstly constructing a multi-cluster air computing scene, and analyzing an expression of an air computing rate and key influence factors of the expression; secondly, decomposing the problem into a receiving beamforming sub-problem and a transmission factor control sub-problem according to physical significance; deriving a closed-form solution expression of the receiving beamforming sub-problem according to the receiving beamforming sub-problem; for the transmission factor control sub-problem, continuous convex approximation is used for solving; then, jointly solving the two sub-problems by adopting an alternating optimization algorithm to obtain an optimal weighting sum rate; finally, system parameters are changed, and the change relation between different parameters and the weighting and calculation rate is studied. The scheme provided by the invention is superior to the existing method in the aspect of calculation rate, and reveals the influence of key parameters on the air calculation performance.

This invention provides a method, apparatus, electronic device, and storage medium for determining GeoHash codes. First, the minimum bounding rectangle of the region to be identified is determined. Next, the GeoHash codes corresponding to the vertex grids containing any three vertices of the minimum bounding rectangle are determined. Then, based on the GeoHash codes of the three vertex grids, a preset character table is looked up multiple times to determine the GeoHash codes of all grids within the minimum bounding rectangle. Finally, from the GeoHash codes of all grids, the GeoHash codes of each target grid that overlaps with the region to be identified are selected. In this invention, the preset character table includes 32 characters from a Base32 encoding table, and the positions of these 32 characters in the preset character table are determined based on the encoding principle of GeoHash codes. Therefore, the GeoHash codes of all grids within the minimum bounding rectangle can be determined by looking up the table. Compared to the multiple encoding conversions in existing technologies, this invention uses a table lookup method, reducing the computational load and improving the computational speed.

The present invention provides a multi-sequence seabed intelligent water sampling system and method based on deep learning. The system includes a multi-sequence water sampler, an underwater camera, a sonar, an environmental parameter sensor unit and a power unit arranged on the multi-sequence water sampler; and a central processing unit; the central processing unit is used to receive data collected by the underwater camera, the environmental parameter sensor unit and the sonar in real time, and use a pre-trained deep learning model to perform image recognition on the data collected by the underwater camera, and control the multi-sequence water sampler to perform seawater sampling according to the recognition result and the data collected by the environmental parameter sensor unit and the sonar, and control the power unit to drive the multi-sequence water sampler to achieve adaptive movement; the present invention can realize tasks such as accurate selection of seabed sampling points, construction of three-dimensional seabed terrain, adaptive selection of water sampler sampling timing, and adaptive sample detection around seabed sampling points.

The present invention discloses a quantitative calculation method for infrared multi-radiation source coupled transmission, comprising: obtaining three-dimensional scene information, and dividing the scene into a number of triangular facets; calculating the angular coefficient between each triangular facet; calculating the spectral radiance of the object in the scene; and calculating the spectral radiance of the scene according to the angular coefficient and the spectral radiance of the object. The present invention realizes the quantitative calculation of infrared multi-radiation source coupled transmission by using a radiance algorithm, and can output the radiance distribution of the scene in different spectral bands in the form of an image, making the algorithm easier to implement, and for multi-radiation source scenes, there is no need to perform a large amount of sampling of light sources and light, and the calculation rate is faster.

The embodiment of the invention provides a compressible flow simulation method and device, computer equipment and a storage medium, and the method comprises the steps: arranging a multi-core structure of a target chip architecture into a preset two-dimensional structure, and obtaining a plurality of operation cores of the target chip architecture; dividing preset compressible flowing fluid data into a plurality of data blocks, and inputting the divided data blocks into each operation core; in each operation core, fluid parameters at the moment n + 1 in the data with the number k are determined according to the fluid parameters at the moment n in the data with the number k, n is an iteration time step, and the value ranges from 0 to a preset value; an analog calculation result of the target chip architecture on the preset compressible flow is determined according to the fluid parameters at the n + 1 moment under the condition that n is a preset value in all the operation cores, parallel calculation of the multiple operation cores and data transmission among the operation cores are achieved through the multiple operation cores of the target chip architecture, the complexity of intermediate transmission is reduced, and the data transmission efficiency is improved. And the calculation efficiency is improved.

The application discloses a food material recognition method of an intelligent refrigerator and a related device. The method obtains a to-be-processed image by performing a defogging process on a target image. The stored food materials in the to-be-processed image are recognized. If the food material names of the stored food materials are not recognized, the to-be-processed image is compared with a stored food material image set in terms of similarity. In the above process, the to-be-processed image after the defogging process is recognized first to improve the recognition ability of the stored food materials. Since the stored food material image set is a collection of stored food material images corresponding to each food material stored in the intelligent refrigerator, when the stored food materials after the defogging process cannot be recognized, the to-be-processed image can be compared with the stored food material image set in terms of similarity to obtain a target food material image most similar to the to-be-processed image. Then, the food material name of the stored food material in the to-be-processed image is determined according to the food material corresponding to the target food material image, so that the food material misrecognition rate is reduced.

This invention discloses a method for obtaining satellite laser timing pointing. By using the six root numbers of the satellite orbit, the nadir trajectory and foot point trajectory of the satellite are obtained. Combined with the elevation database, the continuous laser pointing of the satellite is calculated, which greatly simplifies the laser pointing calculation process and improves the simulation calculation speed. The input used in this invention does not involve complex parameters such as laser attitude angle. Only TLE ephemeris and elevation data need to be input. The requirements for the function configuration of the scene simulation software are not high, and the calculation cost is low.