5 results about "Analysis center" patented technology

This invention discloses a method and apparatus for drill bit wear detection and remaining life prediction. The method includes: acquiring multimodal data of the drill bit; performing time-series alignment of the multimodal data using a dynamic time warping algorithm; inputting the time-series aligned multimodal data of the drill bit into an intelligent analysis center and outputting the remaining life prediction result of the target drill bit; using a visual prediction model to segment the wear region of the target drill bit; using a dynamic rating algorithm to classify the wear region; and using a digital twin simulation model, which is a multi-scale simulation system driven by digital twin simulation technology based on wear region segmentation results, classification results, real-time point cloud data of the target drill bit, and real-time sensor data, which can improve the detection accuracy, real-time performance, model generalization, and life prediction capability of drill bit wear.

This invention relates to an intelligent decision-making system and method for linens based on multi-source data fusion in the fields of industrial IoT, big data analytics, and asset management. The system comprises: a sensing and data acquisition layer that collects multi-source data in real time; an edge processing and communication layer that processes the multi-source data and outputs standardized data packets; a cloud-based data fusion and analysis center that receives and stores data, creating a digital twin for each piece of linen, and performing mining analysis on the digital twin cluster and real-time data stream to calculate key operational indicators; and an intelligent decision-making and optimization layer that dynamically generates optimal linen allocation plans and delivery routes for future cycles, outputs washing program suggestions, periodically assesses the remaining lifespan index of each linen digital twin, and generates cost analysis reports. This invention significantly reduces reliance on human experience, improves overall operational efficiency and economic benefits, achieves refined cost and process control, empowers full lifecycle value management of assets, and revolutionizes asset management transparency.

The utility model relates to road safety data detection technical field, and disclose a kind of road safety data full perception system based on internet of things, including road information processing module, the road information processing module is by big data analysis center, road management center and AI road condition analysis center is formed, the big data analysis center, road management center and AI road condition analysis center between each other communication connection, the road information processing module and base station between communication connection.The utility model is monitored to road environment by the temperature and humidity sensor, illumination sensor and atmospheric pressure sensor of environmental perception module mounting, and in extreme weather, timely monitoring information is fed back to road test module, complementarity data fusion is formed with the multiple radar and camera of road test module, to keep stable road information monitoring under extreme weather, and provide stable road safety information support for user by vehicle-mounted communication and APP.

This invention proposes a method and system for acquiring real-time ionospheric information using GNSS based on forecast variance, relating to the field of GNSS positioning technology. The method includes: acquiring real-time ionospheric data from multiple different analysis centers and preprocessing it to obtain corresponding spherical harmonic coefficients; converting the spherical harmonic coefficients into the total electron content at the corresponding ionospheric puncture point using a spherical harmonic function, correcting the total electron content at different puncture points using solar position information to obtain corrected electron content data, and converting the corrected electron content data into global VTEC grid data; using the electron content forecast information released by the European Orbit Determination Centre as the true value and the global VTEC grid data as the observed value, calculating the data weight value for each analysis center; and weighting and fusing the global VTEC grid data corresponding to each analysis center using the data weight value to obtain the target ionospheric electron total quantity information.

This application relates to the field of satellite navigation and positioning technology, and in particular to a method, apparatus, and device for generating real-time ionospheric grid products. The method includes: acquiring ionospheric delayed data streams published by multiple analysis center terminals; extracting the vertical total electron content of the corresponding analysis center terminal and associating it with grid points indexed by latitude and longitude; determining a target geographical area based on the current location of the user terminal; constructing a differential time series for each grid point within the area based on the vertical total electron content of each analysis center, and calculating the uncertainty of each analysis center terminal; calculating the weighted average of the vertical total electron content of each grid point based on the uncertainty, and generating a real-time ionospheric grid product for the target area. This solves the problems of high computational complexity and low positioning accuracy in ionospheric data processing in related technologies.