10results about How to "Maximize coverage" patented technology

The invention discloses an outdoor environment monitoring method and system, a storage medium and a program product, and the method comprises the steps: obtaining a plurality of initial detection sub-regions; performing preliminary sampling at the central point of the initial detection sub-region to obtain initial environment data; constructing an environment parameter space distribution model; calculating a variation coefficient, and determining a high-variation sub-region; judging whether the area of the high-variation sub-region is greater than a preset minimum area or not; if yes, the minimum sub-region is divided, and the center point serves as a sampling point; if not, increasing a preset number of sampling points; controlling the detection unmanned aerial vehicle to perform secondary sampling at the sampling points to obtain initial environment data, and updating the environment parameter spatial distribution model; calculating an updated overall prediction error, and judging whether the updated overall prediction error is greater than a preset error; and if not, determining the initial environment data with the maximum similarity, and determining the region corresponding to the sampling point as a candidate experiment region. According to the invention, the accuracy of the environmental parameters detected in different outdoor environments is improved.

The invention discloses a drought and flood saline-alkali soil ecological comprehensive improvement method based on an Internet of Things dynamic monitoring technology, which is used in the field of vegetation comprehensive improvement and comprises the following steps: dividing a preset ecological environment area; acquiring soil environment parameters in each area in the ecological environment by using detection equipment, and uploading the encrypted soil environment parameters to a cloud server of a cloud platform; the encrypted soil environment parameters are decrypted and analyzed; deploying an unmanned aerial vehicle for regional patrol; and according to a soil environment parameter evaluation result, an environment change rule and optimization information of equipment layout, combining real-time data of unmanned aerial vehicle patrol, comprehensively analyzing a change trend of a soil environment, and generating a comprehensive improvement plan. According to the method, the soil environment parameter evaluation result, the environment change rule and the equipment layout optimization information are combined, the change trend of the soil environment is obtained, and the soil improvement plan with high pertinence and predictable implementation effect is formulated.

The present invention provides a laser radar signal processing and wind speed estimation method and system based on coherent detection, which relates to the field of laser measurement technology, and comprises: acquiring an echo signal and a reference signal of a wind measuring laser radar, performing frequency mixing and filtering processing, generating a difference frequency signal, performing noise reduction and background suppression, obtaining difference frequency signal data, a window function and a resolution of spectrum analysis, performing time-frequency analysis, generating a Doppler spectrum and a time-frequency spectrum; extracting Doppler frequency shift, spectrum width and signal-to-noise ratio, estimating wind field parameters, performing refined correction and adaptive compensation, identifying special flow patterns, extracting high-level semantic features, and obtaining refined wind field parameters; constructing a global wind field model, converting adaptive scanning optimization into a Markov decision process, determining an action space and a state space, setting a reward function, solving an optimal scanning strategy in combination with a reinforcement learning algorithm, predicting a wind field state, and generating a state prediction report.

This utility model discloses a fire sprinkler system, including a vehicle shed and sprinkler components. The vehicle shed includes a main frame, supporting horizontal pipes, and a canopy. The canopy is located on top of the main frame, and the supporting horizontal pipes are fixed to the main frame and abut against the bottom of the canopy. The sprinkler components include a sprinkler riser connected to a fire hydrant network and at least one sprinkler branch pipe connected to the sprinkler riser. The sprinkler riser is fixed to the main frame, and the sprinkler branch pipes are located inside the supporting horizontal pipes. Each supporting horizontal pipe has at most one sprinkler branch pipe, and each sprinkler branch pipe has at least one fire sprinkler head passing through the supporting horizontal pipe. This utility model can provide shelter and protection for vehicles while meeting the requirements for efficient fire suppression.

The present application relates to the technical field of radiotherapy control, and discloses a treatment control method and system for AB-BNCT. The method comprises the following steps: sending a beam-out condition verification request and a beam-out safety verification request in response to a beam-out request; sending a beam-out button display instruction after receiving the pass results, so that the beam-out button is displayed based on a preset state; monitoring main real-time beam data in real time in response to a state change of the beam-out button; determining a main real-time neutron absorption dose based on the main real-time beam data; and sending a beam control instruction to an accelerator based on the main real-time neutron absorption dose and a target neutron absorption dose, so that the accelerator controls the beam in response to the beam control instruction. By comparing the real-time dose with the target dose, the treatment is continued or stopped, and the accuracy of the treatment and the safety of the patient are ensured. The present application solves the technical problems of low safety and dose verification lag in the existing AB-BNCT treatment, and improves the safety and efficiency of AB-BNCT treatment.

The utility model discloses an orchard self-propelled precise targeting spraying robot which comprises a walking mechanism, a storage rack is arranged above the walking mechanism, a water storage barrel is arranged on the storage rack, a plurality of spraying mechanisms are distributed on the periphery of the water storage barrel, the spraying mechanisms are connected with the water storage barrel, and the spraying mechanisms are connected with the walking mechanism. A plurality of visual perception mechanisms are arranged on the inner side of the spraying mechanism, and the spraying mechanism, the visual perception mechanisms and the walking mechanism are all connected with the main control unit; the main control unit receives monitoring data of the visual perception mechanism and adjusts the advancing route of the walking mechanism and the spraying direction and the spraying intensity of the spraying mechanism according to the monitoring data. According to the real-time condition of the fruit trees and the obstacle information on the orchard path, intelligent adjustment of the advancing path, the spraying direction and the spraying intensity is carried out, collision and resource waste are avoided, and the intelligent level of orchard management is improved.

The present application discloses a three-dimensional human body reconstruction method, device, computer equipment and storage medium. The method includes obtaining a human body image of a target human body, and inputting it into a first network model for processing to obtain a 3D surface reconstruction result; wherein the first network model includes an image encoder and a fully connected layer. Afterwards, the 3D surface reconstruction result is voxelized using a voxel grid of a preset size to obtain 3D surface sampling points, and the obtained 3D surface sampling points are processed by a second network model to obtain a color prediction result; wherein the second network model includes the image encoder and a multi-layer perceptron. The present application uses an asymmetric network model to fully extract image features and achieve high-quality three-dimensional surface reconstruction. Based on grid sampling of voxel coverage, the coverage of 3D surface sampling points is maximized while ensuring computational efficiency, thereby optimizing the three-dimensional human body reconstruction result.

The present invention discloses an environmental water ecological monitoring method and system based on big data, which relates to the technical field of water ecological monitoring, including obtaining geographical information of water ecological areas, calculating a comprehensive index based on terrain complexity and water body coverage, and determining the initial arrangement nodes of sensors. The method of the present invention ensures the effective coverage of the sensor network through multi-scale analysis, sorts the sensor node arrangement by comprehensive index, maximizes the network coverage, and ensures that the sensor can effectively cover more areas and reduce monitoring blind spots through the combination of multi-scale analysis and hybrid frog leaping strategy. By constructing a two-dimensional pollution diffusion model, the model can more accurately describe the diffusion behavior of pollutants in water bodies, and combines the two-dimensional diffusion model with the dynamic time variation coefficient, which not only enhances the adaptability of the model, but also improves the prediction accuracy of the pollutant diffusion path.

The present invention provides a magnetic field observation method and system suitable for high-density deployment, and relates to the field of data processing technology. The method comprises: obtaining observation planning data, determining the number, interval and position distribution of observation nodes, setting multiple observation nodes to designated positions in a target area, collecting magnetic field data in the target area through the observation nodes, preliminarily screening the collected data according to background noise generated by equipment characteristics, performing secondary screening according to spatial distribution characteristics between observation nodes, aggregating observation data of different observation nodes according to spatial position association rules, cross-validating data consistency between observation nodes in the target area, optimizing through a precision improvement algorithm, obtaining a magnetic field distribution model, identifying magnetic field abnormal areas, performing multi-level refinement analysis on abnormal area data, and generating magnetic field distribution results and abnormal characteristic data of the target area. The present invention improves the magnetic field observation accuracy.

A dressing for managing an incision and surrounding tissue where edema and swelling may be present post-operation. The dressing may maximize coverage of area in articulating joints, such as a knee or elbow, while allowing for substantial range of motion. In some embodiments, the dressing may comprise an adhesive border configured to be adhered to skin around an articulating joint, a skin-interfacing fabric for minimizing skin irritation, a foam body for manifolding negative pressure and absorbing exudate and other body fluids, and a thin polymer film cap for sealing the assembly so negative pressure can be maintained throughout the dressing.