6results about How to "Accurate interpretation" patented technology

This invention provides an intelligent inversion method for ground mechanical parameters driven by impact penetration test data. It constructs a machine learning inversion model by learning and training the relationship between the time history curves of the penetrometer's dynamic response and ground mechanical property parameters in the interpretation model database. After acquiring measured cone resistance and acceleration time history data, these are input into the trained machine learning inversion model to directly obtain the ground mechanical property parameters. Furthermore, requiring only one input-output reverse transmission, the inversion speed can be reduced to the second level. The intelligent algorithm enables accurate interpretation of ground mechanical property parameters such as soil density, elastic modulus, Poisson's ratio, cohesion, and internal friction angle. This invention is rationally conceived and can efficiently, accurately, and intelligently interpret the ground mechanical property parameters of impact-penetrated soil.

The application discloses a wireless photoelectric hybrid sensing-integrated control method and system based on a multi-modal large model, and belongs to the technical field of wireless communication and artificial intelligence. A distributed network composed of sensing-integrated nodes and decision coordination units is constructed, the sensing-integrated nodes are used to synchronously realize wireless sensing and communication functions, and the transmission capacity and reliability are improved in combination with a photoelectric hybrid link (radio frequency and wireless light). A lightweight multi-modal large model integrated with the nodes is used for fusion coding and deep understanding of multi-source data such as sensing signals, vision and point clouds, decision instructions are generated in real time at the edge side, the instructions are quickly issued and executed through the distributed network, and a "sensing-communication-decision-execution" closed loop is formed. Through a local model fine-tuning mechanism, model parameters and resource strategies are cooperatively optimized, and the method has the advantages of millisecond-level delay, high decision accuracy, high energy efficiency and strong robustness, and is suitable for scenes such as automatic driving and industrial Internet of Things that have strict requirements on real-time performance and reliability.

The application relates to the technical field of image data processing, in particular to a geological remote sensing interpretation method and system for mineral resource exploration, which comprises the following steps: acquiring a geological remote sensing image to be analyzed in a mineral resource area; analyzing the uniformity of the distribution of the pixel gray value of all local areas in the image to be analyzed to obtain the image smoothness; acquiring the LBP value of all pixel points in the image to be analyzed and a historical standard sample image and performing clustering; using a seed growing algorithm to obtain each growth area of each image; determining an image detail evaluation index of the image to be analyzed through the overall distribution of the edge complexity of the growth area of each cluster to which the image to be analyzed and the historical standard sample image belong, obtaining an image enhancement effect quality evaluation, adjusting the wavelet threshold in combination with the image detail evaluation index, and interpreting the enhanced image. The application aims to improve the accuracy of geological remote sensing image interpretation in mineral resource exploration.

The invention provides a lithology remote sensing interpretation method and device, electronic equipment and a storage medium, and relates to the technical field of remote sensing interpretation, and the lithology remote sensing interpretation method comprises the steps: obtaining lithology geological data of a target region; the lithologic geological data are input into a trained lithologic interpretation model, lithologic label data are generated, and the lithologic interpretation model comprises an image text extraction module used for extracting image features and text knowledge features of the lithologic geological data; the graph network module is used for constructing a co-occurrence matrix according to the spatial co-occurrence relation of the target area, constructing a text knowledge matrix according to the text knowledge features, adding and fusing the co-occurrence matrix and the text knowledge matrix, generating an adjacent matrix, and generating a guide visual feature graph according to the adjacent matrix and the image features; and the interpretation module is used for decoding the guide visual feature map and generating lithologic label data. The lithology remote sensing interpretation accuracy and reliability can be remarkably improved, and therefore complex lithology scenes can be accurately interpreted.

The application discloses a precipitation phase state vertical detection and inversion method based on radio wave reflection and relates to the technical field of meteorological remote sensing detection. The application comprises S1, multi-frequency band radio wave synchronous transmission and echo signal collection: through a multi-frequency band radio transceiving system, multiple vertical detection radio waves of different frequency bands are synchronously transmitted, echo signals generated by precipitation particles in different height layers of the atmosphere are collected, and continuous collection of echo signals of full height layers is completed; through synchronous transmission of multi-frequency band radio waves and collection of echo signals of full height layers, the application obtains multi-dimensional scattering characteristic vertical profiles of different phase state particles, realizes decoupling division of phase state intervals of different height layers by constructing a multi-frequency band exclusive feature matrix and combining melting layer vertical gradient characteristics, corrects particle proportion weights in mixed phase state intervals by introducing adjacent height layer phase state continuity constraint conditions, and realizes accurate interpretation of the mixed phase state of the zero-degree layer melting zone.

This invention relates to the field of bamboo fiber preparation technology and discloses a bamboo fiber debonding device, including a debonding machine body. A feeding platform is fixedly connected to the outer wall of the debonding machine body, and a nozzle is fixedly connected to the top of the feeding platform. A discharge platform is fixedly connected to the outer wall of the fiber debonding machine body on the side away from the feeding platform. A collection frame is slidably connected to the bottom of the inner cavity of the debonding machine body. When it is necessary to shorten the spacing of the three protruding teeth, the operator holds the handle and rotates the rotating rod to make the three protruding teeth gradually converge. When it is necessary to increase the spacing of the three protruding teeth, the rotating rod is rotated in the opposite direction to drive the first protruding tooth to slide in the opposite direction to make the three protruding teeth gradually disperse. Thus, the fiber debonding density can be adjusted by adjusting the spacing of the three protruding teeth. At the same time, the spacing of the three protruding teeth can also be adjusted according to the width of the bamboo strips being conveyed, so that the device can still perform precise fiber debonding when conveying multiple sets of bamboo strips at the same time, avoiding insufficient fiber debonding that cannot meet the needs of subsequent processing.