3results about How to "Realize data fusion" patented technology

The invention relates to a wearable flexible vibration sensing sensor for a humanoid robot and a preparation method of the wearable flexible vibration sensing sensor. The sensor structure comprises an upper packaging layer, a lower packaging layer, a moisture absorption layer, a hydrogel layer, a graphene layer, an electrode layer and a flexible circuit board. Wherein the upper packaging layer and the lower packaging layer protect the internal structure, the moisture absorption layer enhances the moisture absorption capacity in the environment, the hydrogel layer maintains moisture and forms a concentration gradient, the graphene layer enhances the sensitivity of the sensor, the electrode layer collects ion migration to generate voltage, and a signal amplification circuit and a wireless transmission module are embedded in the flexible circuit board. The method is characterized in that a vibration signal is converted into voltage change through ion migration between the hydrogel layer and the graphene layer, and accurate vibration sensing is achieved. The sensor has high sensitivity, quick response and good flexibility, is suitable for being integrated into the humanoid robot, and improves the environmental perception and interaction performance of the humanoid robot.

A multimodal multi-source heterogeneous data fusion method belongs to the field of data processing technology, and includes the following steps: S1, configuring a data pipeline from an original database to a target database, and extracting the source data from the original database to the target database in full through the data pipeline to obtain a source data set; S2, structuring and cleaning the source data set to obtain a first data set; S3, dumping the first data set to obtain a second data set; S4, performing data fusion processing on the second data set, including data mapping and conversion, data standardization, to obtain a third data set; S5, for different types of data, performing feature extraction and processing on the third data set to obtain a final data set; S6, persistently storing the final data set. The multimodal multi-source heterogeneous data fusion method provided by the present invention can effectively solve the data quality problem in multimodal multi-source heterogeneous data fusion and improve the consistency and reliability of the fusion results.

This invention relates to the field of coal mine gas geological disaster prevention and intelligent identification technology, and discloses a method and system for intelligent identification and graded early warning of underground gas geological anomalies in coal mines. The method includes: S1, collecting multi-source heterogeneous monitoring data in the target area of ​​the coal mine and performing standardization processing and spatiotemporal benchmark unification; S2, constructing a multi-dimensional feature fingerprint database based on historical or accumulated standardized datasets; S3, acquiring real-time multi-source monitoring data for the current tunneling or exploration process and extracting its features; based on the multi-dimensional feature fingerprint database, using evidence theory to fuse and calculate multiple extracted real-time feature evidences to obtain a comprehensive confidence assessment result for the existence of a specific type of gas geological anomaly in the undiscovered area ahead; S4, generating graded early warning information based on the comprehensive confidence assessment result and a preset risk level threshold. This invention achieves advanced identification, risk assessment, and targeted early warning of geological disasters such as underground gas outbursts.