9results about How to "Realize three-dimensional" patented technology

The invention relates to the technical field of cattle and sheep grazing, in particular to electronic fence equipment with a cattle and sheep driving function and a using method, the electronic fence equipment comprises a mounting frame and further comprises a charging storage structure connected with the mounting frame, the charging storage structure comprises a charging cabinet, and multiple sets of neck-hung position indicators are movably mounted in the charging cabinet; the subpackaging moving structure is connected with the mounting frame, the subpackaging moving structure comprises a transverse moving mechanism, the transverse moving mechanism is connected with two groups of flying, hoisting and driving platforms, a synchronous lifting limiting mechanism is arranged below the transverse moving mechanism, the synchronous lifting limiting mechanism is connected with a soil-piercing supporting mechanism, and the synchronous lifting limiting mechanism is connected with a transfer communication camera mechanism. According to the invention, through the mutual cooperation of the charging storage structure and the split charging moving structure, the effect of independent networking is realized, the stability of positioning signal transmission is enhanced, and through the parallel positioning and camera shooting mode, digital and three-dimensional grazing is realized, so that more manpower is saved, and grazing personnel can obtain grazing information more easily.

The invention relates to the technical field of industrial equipment monitoring, in particular to a power equipment fault online monitoring system for polyester staple fiber production, which comprises a feature extraction module, a dynamic analysis module, an evolution prediction module, an anomaly recognition module, a feature construction module and a diagnosis matching module. The system collects operation data of power equipment in real time, extracts time sequence features and calculates a dynamic offset vector, and further predicts a state evolution track and identifies preliminary abnormality. The feature construction module traces back to extract feature fragments associated with the anomaly, fault component signals of different physical meanings are obtained through multi-level signal deconstruction and input into a fault feature spectrum generator, and a three-dimensional fault feature spectrum reflecting the fault evolution law is constructed. And the diagnosis matching module performs mode matching on the three-dimensional map and a preset fault knowledge base to determine a specific fault type and an evolution stage thereof. According to the method, early discovery of fault germination, accurate identification of fault types and dynamic judgment of fault evolution stages are realized.

The invention discloses automatic forming and baking equipment for mooncake processing, and relates to the technical field of mooncake processing, the automatic forming and baking equipment for mooncake processing comprises a machine shell, baking devices arranged on two sides of the machine shell, smoke exhaust devices arranged on two sides of the top of the machine shell, a control box arranged on the outer wall of the machine shell, and a plurality of device plates, the device plates are arranged and fixed to the belt face of the conveying belt, two first adsorption blocks are fixed to the side wall of each device plate, a device groove is formed in each device plate, and a rotating sleeve is rotationally installed in each device groove. The two soaking assemblies are arranged on the side wall of the rotating sleeve; and the linkage assembly is arranged on the side wall of the device plate, and the linkage assembly is connected with the rotating sleeve. The automatic mooncake baking and coloring device is high in automation degree, uniform baking and accurate coloring can be achieved, mooncakes are consistent in maturity, attractive in skin color and luster and uniform in texture, the rejection rate is reduced, and the product value is improved.

A multi-dimensional time series data dynamic evolution analysis method, device, medium and electronic equipment, the method comprises the steps of: obtaining and structuring pre-processing time series data; each of the time series data is quantified and attributed in multiple dimensions, and a three-dimensional data node containing spatial coordinates, initial weight and timestamp is constructed; based on the set of three-dimensional data nodes in a specific time window, a three-dimensional data density field is constructed which can represent the data hotspot distribution and intensity in the time window; in the three-dimensional data density field, the density peak area is identified as the core data cluster, and the cluster quality is calculated according to its density and coverage, and the association strength between different core data clusters is calculated; the sequence of the state snapshots of the continuous multiple time window data fields is serialized to form a dynamic evolution view which can show the birth and death of data hotspots, the fusion and splitting process of data clusters. The abstract multi-dimensional data is converted into intuitive three-dimensional density field.

The application discloses a composite system for enhancing corrosion resistance of high-entropy alloy and a use method thereof, and relates to the technical field of high-entropy alloy processing. The heat treatment device, the oxidation treatment device and the laser cleaning treatment device are connected with the control panel respectively, so that the temperature, oxidation and laser action of the high-entropy alloy in the processing process can be effectively controlled; the heat field action can accelerate the diffusion of high-entropy alloy elements to obtain more uniform component distribution; the oxidation can quickly generate an oxide protective film on the surface of the high-entropy alloy to isolate corrosion; and the laser cleaning can adjust the surface and interface structure of the high-entropy alloy and help to eliminate surface and internal defects. Through the heat field action, the oxidation and the laser action, the synergistic effect among processes, the corrosion resistance of the high-entropy alloy can be significantly improved, the three-dimensional and comprehensive improvement of the corrosion resistance is realized, and the high-entropy alloy has a wider application space and application value.

The invention discloses a garden greening waste recycling system and method, and relates to the field of garden waste, and the method comprises the steps: S1, three-dimensional grid monitoring and data acquisition, S2, multi-dimensional feature data set construction, S3, spatial distribution anomaly recognition, S4, control decision parameter generation, S5, layered and partitioned compost regulation and control execution, S6, layered and partitioned compost regulation and control execution, and S5, layered and partitioned compost regulation and control execution. And updating the compost state prediction model. According to the invention, through the three-dimensional grid monitoring network, three-dimensional and omnibearing perception of the internal state of the pile body is realized, heterogeneity of spatial distribution can be accurately captured, and the defects of few monitoring points and incomplete information of a traditional method are overcome.

The invention discloses a power equipment intelligent operation and maintenance method based on a multi-modal collaborative attention mechanism and a related device, and belongs to the technical field of industrial intelligent operation and maintenance and multi-modal artificial intelligence, and the method comprises the steps: collecting multi-modal data, and carrying out the preprocessing; carrying out multi-modal feature extraction on the pre-processed multi-modal data; based on the extracted multi-modal features, multi-modal collaborative attention calculation is carried out, and a three-layer collaborative attention mechanism is constructed; the multi-modal feature fusion and scene understanding module is used for carrying out multi-modal feature fusion and scene understanding on the basis of a three-layer collaborative attention mechanism, carrying out deep fusion on the multi-modal features subjected to collaborative attention enhancement, inputting the multi-modal features to the scene understanding module, and outputting equipment state evaluation, fault early warning and maintenance suggestion information; a scene understanding result is output and applied, a comprehensive scene understanding report is generated, and visual support is provided for operation and maintenance decision making. According to the invention, the problems of poor multi-modal data fusion effect and insufficient scene understanding depth in the prior art are solved.

This invention discloses a system and method for constructing earthquake-themed scenarios based on multi-source 3D GIS data, belonging to the field of 3D geographic information system technology. It aims to solve the technical problems of data silos, limited information display, delayed data updates, and lack of end-to-end connectivity in earthquake emergency response. The system adopts a layered architecture consisting of a data resource layer, a data fusion layer, a service support layer, and an application display layer. The method involves building a basic 3D GIS emergency scenario, aggregating multi-source earthquake data, achieving spatiotemporal data fusion and event correlation, and completing integrated 3D display and decision support. This enables unified spatiotemporal fusion and real-time dynamic updates of earthquake data across all dimensions, as well as 3D visualization and spatiotemporal simulation of the entire pre-earthquake, during-earthquake, and post-earthquake chain. This provides global and three-dimensional decision support for earthquake emergency command, significantly improving the efficiency, accuracy, and systematic nature of earthquake emergency response.

The present application relates to the technical field of industrial equipment monitoring, in particular to a power equipment fault online monitoring system for polyester staple fiber production, comprising feature extraction, dynamic analysis, evolution prediction, anomaly identification, feature construction and diagnosis matching modules. The system collects power equipment operation data in real time, extracts time sequence features and calculates dynamic offset vectors, then predicts state evolution trajectory and identifies preliminary anomalies. The feature construction module will backtrack to extract feature segments associated with anomalies, obtain fault component signals with different physical meanings through multi-level signal deconstruction, and input into a fault feature atlas generator to construct a three-dimensional fault feature atlas reflecting fault evolution rules. The diagnosis matching module determines the specific fault type and its evolution stage by pattern matching the three-dimensional atlas with the preset fault knowledge base. The present application realizes early detection of fault germination, accurate identification of fault type and dynamic judgment of fault evolution stage.