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3337results about How to "Effective regulation" patented technology

Visual Indication Of Settings Changes On A Ventilator Graphical User Interface

This disclosure describes improved systems and methods for visualizing the application of changes to respiratory settings in a ventilatory system. Specifically, the present disclosure provides for a setup animation window that may be easily accessed from a setup icon, for example, and also provides for a settings animation window that may be easily accessed from any number of displayed ventilatory settings. In fact, the setup animation window may be directly accessed by touching, clicking, or otherwise selecting the setup icon and may expand from the setup icon to display any number of settings access elements. Alternatively, the settings animation window may be directly accessed by touching, clicking, or otherwise selecting any one of the displayed ventilatory settings and may expand from the displayed ventilatory settings to provide corresponding settings access elements. The corresponding settings access elements each corresponding to an individual ventilatory setting of the displayed ventilatory settings and useful for efficiently adjusting the displayed ventilatory settings. Ventilatory settings may be changed and accepted via either animation window. In one embodiment, upon accepting settings changes from the settings animation window, settings may appear to visually float or fade into the displayed ventilatory settings. In this embodiment, clinicians may view the settings changes as they are accepted and applied to the GUI.
Owner:TYCO HEALTHCARE GRP LP

Device and method for composition based on small quad-rotor unmanned aerial vehicle

The invention relates to a device and method for composition based on a small quad-rotor unmanned aerial vehicle and belongs to the technical field of mobile robot positioning and navigation. The small quad-rotor unmanned aerial vehicle can rapidly enter a complex environment which a mobile robot cannot enter, carried laser radar is utilized to construct a two-dimensional map in real time according to an SLAM method, self localization and navigation of the unmanned aerial vehicle can be achieved by combining an IMU device and the like, and efficient exploration of a true complex area is achieved; the height of the small quad-rotor unmanned aerial vehicle can be conveniently adjusted to obtain two-dimensional maps on horizontal planes of different heights; the small quad-rotor unmanned aerial vehicle is rapid in movement speed and more flexible, movement and mapping of the small quad-rotor unmanned aerial vehicle are not subject to disturbance of obstacles on the ground, the range limitation of a detecting robot is broken through, the small quad-rotor unmanned aerial vehicle is extremely high in practical value, and accurate and rapid map construction can be achieved; compared with robot environment composition, the rotor wing robot can perform environment scouting more rapidly and more flexibly, and three-dimensional spatial images can be obtained.
Owner:NORTHEASTERN UNIV

Intelligent integrated fault diagnosis method and device in industrial production process

The invention relates to an intelligent integrated fault diagnosis method in an industrial production process. The intelligent integrated fault diagnosis method is characterized by comprising the following steps of: acquiring data in the industrial production process; analyzing and processing object characteristics according to an acquired signal; combining expert knowledge according to an intelligent integration method to carry out blast-furnace fault diagnosis analysis so as to identify a fault and find out a reason of the fault, carrying out fault exact location and diagnosis policy, and effectively regulating a production process so that the industrial production process can regularly carry out, wherein the intelligent integration method comprises the following steps of: establishing a Bayesian network model; comprehensively analyzing and processing FTA (full type approval) and FMEA (failure mode and effect analysis) models; and carrying out nerve net expert system fault diagnosis analysis and process. Simultaneously, the invention further relates to an intelligent integrated fault diagnosis device in the industrial production process, and the device is used for realizing the fault diagnosis method. According to the intelligent integrated fault diagnosis method in the industrial production process, disclosed by the invention, various information is fused, ratiocination is carried out under a complex situation, comprehensive diagnosis can be effectively carried out on the fault of the industrial production process, the integration, intelligence, accuracy and effectiveness of the fault diagnosis system are improved, and the production process is ensured to be performed smoothly.
Owner:WUHAN UNIV OF SCI & TECH

Intelligent vehicle traveling speed and time predication method based on macro city traffic flow

The invention proposes an intelligent vehicle traveling speed and time predication method based on a macro city traffic flow. Firstly the road and environment related variables in a driving environment are selected and quantified, secondly a GIS database of intelligent vehicle autonomous driving is established, thirdly combined with a regression analysis method, the combination rule of the key variables in the driving environment is provided, and the multiple-element linear relationship of intelligent vehicle driving speed and road design parameter, traffic condition and real-time road condition in a city traffic network is obtained, fourthly, based on the VLM model of the macro city traffic flow theory of a trapezoid density-flow basic pattern, the dynamic and stable characteristics of the VLM model of a road are obtained, and the speed and time evaluation function of the macro city traffic flow is given, and finally combined with the multiple-element linear vehicle speed model of the road in different vehicle flow density and initial states, the driving speed constraint equation of an intelligent vehicle in a city road network is obtained, and the optimal driving speed and travel time which satisfy a target function are obtained.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
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