7results about How to "Guaranteed operability" patented technology

This invention relates to the field of pharmaceutical data management technology, and discloses a method and system for analyzing pharmaceutical inventory demand based on sales data. The method includes extracting pharmaceutical sales time-series characteristics, integrating external influencing factors to construct a gated cyclic unit prediction model, correcting demand forecasts based on real-time inventory status, integrating business rule parameters, establishing a mixed-integer linear programming model with the objective of minimizing total cost to generate replenishment suggestions, and simultaneously outputting an analysis report containing key decision factors. This application enables accurate, interpretable, and rule-constrained intelligent pharmaceutical replenishment decisions.

This invention discloses an operational decision support system and method for integrating multi-source outpatient data, relating to the field of medical information technology. It includes a data interface module, a data processing module, a core functional module, and a display module. The data interface module connects to multiple hospital business systems to achieve real-time / scheduled synchronization of multi-source data throughout the outpatient process. The data processing module cleanses, standardizes, transforms, and integrates raw data. The core functional module integrates six sub-modules: access control, early warning configuration, indicator management, target value management, self-service analysis, and outpatient analysis, enabling refined control over the entire operational process. The display module provides multi-dimensional visualization of information. This invention achieves end-to-end integration of outpatient operational data, assisting hospitals in upgrading their outpatient operational decision-making from experience-driven to data-driven through intelligent early warning, a flexibly configurable indicator system, multi-level target management, and multi-dimensional visualization analysis.

This invention provides a method and apparatus for evaluating the credibility of generated content, relating to the fields of computer science and artificial intelligence. The method includes: collecting information sources from multiple platforms; extracting features from the information sources to obtain multi-dimensional features; defining graph nodes and edges, assigning weights, and learning graph neural networks from the multi-dimensional features to obtain a directed weighted information source authority graph; performing end-to-end self-supervised learning on the information source authority graph using a graph convolutional network or graph attention network to obtain the graph neural network authority score for each node; performing conflict graph modeling and confidence propagation iterative algorithm processing on the information source authority graph to obtain a confidence propagation score; setting a timeliness factor, and weightedly fusing the graph neural network authority score, confidence propagation score, and timeliness factor to obtain a credibility score. This method achieves dynamic, accurate, and multi-platform collaborative evaluation of information source credibility.

This invention discloses an AI-driven big data fusion-based anti-misoperation interlocking system for wind farm booster stations, relating to the field of anti-misoperation interlocking technology for wind farm booster stations. It includes a data acquisition module that collects real-time electrical parameters, operating status, and environmental parameters of the equipment, and uploads them after preprocessing; a big data fusion storage module that categorizes and stores multiple types of data according to a hierarchical strategy, optimizing access and retrieval; an AI intelligent analysis and decision-making module that integrates multi-source data to generate precise interlocking strategies; an anti-misoperation interlocking execution module that executes interlocking in a three-level mode and provides status feedback; a communication interaction module that achieves internal and external data interaction through a dual-mode architecture; a status monitoring module that monitors the operating status of each module and identifies faults; and an emergency handling module that initiates a response mechanism and restores operation after self-checking following fault resolution. This invention relies on AI and big data fusion technology, dynamically adapting interlocking thresholds to equipment and environmental conditions; supporting unattended operation and intelligent maintenance, providing reliable assurance for the safe operation of wind farm booster stations.

The application belongs to the technical field of simulation, and discloses a kind of semi-physical simulation system;Control input plug-in inputs joint simulation configuration information to server;Model client reads joint simulation configuration information through client communication plug-in, and sends it to modeling tool, runs modeling tool to generate virtual model, model client collects virtual model data in modeling tool, and connects it to server through client plug-in;V2R client reads virtual model data of server through device communication plug-in, and parses its instruction through measurement and control tool to control physical device to run;V2R client collects physical device operation data, and sends it to server through device communication plug-in;Through the way of multi-source heterogeneous distributed integrated simulation architecture and white box model, integrated simulation is carried out, and semi-physical simulation system can be directly run in modeling environment, to improve the fidelity of model.

The application belongs to the technical field of heat exchange equipment, and specifically discloses a modular quick-mount air cooler, which comprises two mounting plates, liquid inlet shells and liquid outlet shells fixedly connected to the opposite sides of the two mounting plates respectively, a liquid inlet pipe communicated with the top of the liquid inlet shell, a liquid outlet pipe communicated with the top of the liquid outlet shell, a limiting assembly arranged on the surface of the liquid inlet shell and the liquid outlet shell, and a heat exchange assembly arranged between the two mounting plates. Through the limiting assembly and the heat exchange assembly, the heat exchange pipe can be quickly mounted and dismounted without being dismounted as a whole, and can be dismounted and replaced individually according to replacement requirements. The mounting and dismounting mode is simple, and a single heat exchange pipe serves as an independent module and can be dismounted and replaced individually. When a single heat exchange pipe is damaged or blocked, the whole pipe bundle or large components do not need to be disassembled, so that the maintenance workload, downtime and replacement cost are significantly reduced.

This invention relates to a priority assessment system for the removal and restoration of coastal enclosures, belonging to the field of coastal restoration technology. The system aims to address the problems of data acquisition being constrained by tides, the use of single assessment parameters, and the failure to consider ecological connectivity in priority assessments in existing technologies. The technical solution includes: automatically collecting data during the low tide safety window using a UAV equipped with a multispectral sensor and lidar; calculating the dike damage coefficient, ecological restoration coefficient, and seaward depth based on multi-source data; and generating a total priority score for removal using an assessment model coupled with the nonlinear decay effect of ecological connectivity. This system can scientifically quantify the priority of enclosure removal, providing decision support for coastal wetland ecological restoration projects.