3results about How to "Overcome incompleteness" patented technology

According to the machine defect trend and historical action rapid query method and device, the medium, the program product and the terminal, integrated query and analysis functions are provided, and the machine management and fault handling capacity is remarkably improved. A user can easily inquire detailed actions and states of a machine and obtain a closed-loop result of a case so as to evaluate the effect of improvement measures, and all information is presented through a visual chart. The machine state chart and defect data analysis are integrated, a user can comprehensively understand the historical operation condition of the machine, identify abnormal reasons and effective countermeasures, and provide a basis for quick response, so that the wafer influence quantity is reduced, and the yield fluctuation is controlled. And real-time and historical data query is supported, so that the working efficiency is greatly improved, and the problems of low speed and tedious process of manual query are avoided. Meanwhile, the database comprehensively records detailed action information of the machine, data incompleteness is overcome, and a user can analyze defect distribution and directivity problems in a specific time period.

The present application relates to the technical field of mine safety production and geological disaster monitoring, in particular to a kind of open pit slope floatstone dangerous intelligent sensing method and related equipment, method is, obtain target slope image, and reconstruct depth map.Prepreg floatstone region segmentation is carried out to slope image using pre-trained PSPNet image segmentation model, and floatstone segmentation map is generated.Pixel-level fusion is carried out to segmentation map and depth map, and three-dimensional point cloud data of floatstone is extracted.Convex hull algorithm is used to carry out three-dimensional grid reconstruction to point cloud, and the geometric characteristic parameter of floatstone is calculated, based on fuzzy comprehensive evaluation theory, in combination with above-mentioned geometric characteristic parameter, the danger level of floatstone is comprehensively evaluated, and scientific basis is provided for mine safety management.The method realizes the full-process automation from image acquisition to danger level evaluation, improves the evaluation efficiency and accuracy.

A method for extracting triples from knowledge graphs in the mining industry based on ontology constraints and thought chain principles is proposed. The method constructs a highly complete mining domain ontology, acquires and preprocesses unstructured text data sources from the mining domain, and then constructs structured prompts containing ontology constraint information and thought chain reasoning instructions, transforming the triple extraction task into a constrained generative reasoning process. The structured prompts are input into a generative large language model. After receiving the input, the model, relying on its self-attention mechanism and pre-trained knowledge, strictly follows the pre-defined thought chain paths in the structured prompts to conduct reasoning. The output of the generative large language model is parsed using a parsing algorithm, separating the thought chain part and the final result part of the model output. Triple data structures are extracted from the final result part to form a candidate triple list, followed by ontology-based post-processing verification and optimization. This method enables efficient, accurate, and standardized extraction of knowledge in the mining domain.