133 results about "Real time modeling" patented technology

A system for providing real-time modeling of an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the system. The virtual system modeling engine is configured to generate a predicted data output for the element. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output.

Systems and methods for real-time modeling of a microgrid. In an embodiment, real-time data is acquired from a microgrid. Predicted data for the microgrid is generated using a first virtual system model of the microgrid, which comprises a virtual representation of energy sources within the microgrid. The real-time data and the predicted data are monitored, and a calibration and synchronization operation is initiated to update the first virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold. Parameters of the first virtual system model can be modified to create a second virtual system model, and aspects can be forecasted for the microgrid operating under the modified parameters of the second virtual system model. In a further embodiment, market price information can be received, and optimization solutions can be generated based on the market price information.

A system for providing real-time modeling of protective device in an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from protective devices within the system under management. The virtual system modeling engine is configured to update a virtual mode of the system based on the status of the protective devices and to generate predicted data for the system using the updated virtual model. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output. The analytics engine is also configured to determine the bracing capabilities for the protective devices.

A system for real-time modeling of electrical system performance is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The power analytics server is comprised of a virtual system modeling engine, an analytics engine and a power system simulation engine. The virtual system modeling engine is configured to generate predicted data output utilizing a first virtual system model. The analytics engine is configured to synchronize the first virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold. The power system simulation engine is configured to store and process patterns and facilitate modification of parameters on the first virtual system model to create a second virtual system model; and forecast an aspect of the electrical system operating under parameters of the second virtual system model. The client terminal displays the forecasted aspects.

A dynamic wake avoidance system utilizes aircraft and atmospheric parameters readily available in flight to model and predict airborne wake vortices in real time. A novel combination of algorithms allows for a relatively simple yet robust wake model to be constructed based on information extracted from a broadcast. The system predicts the location and movement of the wake based on the nominal wake model and correspondingly performs an uncertainty analysis on the wake model to determine a wake hazard zone (no fly zone), which comprises a plurality of “wake planes,” each moving independently from another. The system selectively adjusts dimensions of each wake plane to minimize spatial and temporal uncertainty, thereby ensuring that the actual wake is within the wake hazard zone. The predicted wake hazard zone is communicated in real time directly to a user via a realistic visual representation. In an example, the wake hazard zone is visualized on a 3-D flight deck display to enable a pilot to visualize or “see” a neighboring aircraft as well as its wake. The system substantially enhances the pilot's situational awareness and allows for a further safe decrease in spacing, which could alleviate airport and airspace congestion.

Crowds of people within an environment can be modeled in real time. A multitude of mobile devices located within an environment can periodically transmit their geographical locations over networks to a remote server. The remote server can use these geographical locations to generate a current real-time model of a crowd of people who possess the mobile devices that transmitted the geographical locations. The remote server can transmit the model over networks back to the mobile devices. The mobile devices can use the received model to present useful information to the users of those mobile devices.

A grain transfer control system for automatically controlling relative positions of an unloading system discharge nozzle of a work machine and a receiving container based on a real time model of a fill level profile for regions of the receiving container, the profile being modeled using known or estimated rates of flow of grain and positions of the nozzle relative to regions of the receiving container as a function of time, the system adjusting the relative positions of the nozzle and the receiving container to effect a generally even fill of the receiving container.

A system for real-time modeling of uninterruptible power supply (UPS) control elements protecting an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine and a UPS transient stability simulation engine.The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The UPS transient stability simulation engine stores and processes patterns observed from the real-time data output and utilizes a user-defined UPS control logic model to forecast an aspect of the interaction between UPS control elements and the electrical system subjected to a simulated contingency event.

The invention discloses a scanning laser based large-scale three-dimensional terrain modeling method. The scanning laser based large-scale three-dimensional terrain modeling method comprises the following steps of: firstly perceiving a surrounding environment through the scanning laser arranged on a mobile robot platform, and transforming original laser data into three-dimensional point clouds through coordinate transformation; secondly preprocessing the three-dimensional point clouds by adopting a median filter method, and constructing an octree structure to complete data storage; then carrying out fusion processing on data by adopting a Gaussian mixed model based randomization method to build a terrain environment model in real time; and finally detecting and processing an obstructed area positioned in the terrain environment model to further enhance model accuracy. In the invention, the problem of real-time modeling of a large-scale complex terrain is effectively solved by adopting the low-cost two-dimensional scanning laser; and good balance between the model accuracy and real-time property is realized in such a way that randomization processing is carried out on various uncertainties of the terrain environment model, and therefore, wide requirements of different fields, such as a GIS (Geographic Information System) system or unmanned autonomous navigation and the like, can be met.

A system for monitoring hazards and determining potential loss exposure resulting from those hazards, the system comprising:a first user input component for permitting a user to specify at least one geographic location to be monitored;a second user input component for permitting a user to specify at least one hazard parameter to be monitored for the at least one monitored location;a first data acquisition component for acquiring hazard data for the at least one monitored location, wherein the first data acquisition component is configured to acquire the data from at least two disparate data sources and aggregate that data in a seamless data set;a second data acquisition component for acquiring data regarding entities associated with the at least one monitored location;an analytical engine for determining the potential loss exposure to the entities associated with the at least one monitored location resulting from the occurrence of hazards at the at least one monitored location; anda reporting engine for reporting the results of the analytical engine to a user.A method for monitoring hazards and determining potential loss exposure resulting from those hazards, the method comprising:specifying (i) at least one geographic location to be monitored, and (ii) at least one hazard parameter to be monitored for the at least one monitored location, and acquiring (a) hazard data for the at least one monitored location, wherein the acquired hazard data is from at least two disparate data sources, and aggregating the hazard data into a seamless data set, and (b) acquiring data regarding insured entities associated with the at least one monitored location;determining potential loss exposure to the entities associated with the at least one monitored location resulting from the occurrence of hazards at the at least one monitored location; andreporting the determined potential loss exposure to a user.

The invention discloses a 3D scene generation method based on a depth video. The method comprises the following steps that S1, data of the depth video and a color video are collected by using a depth camera, and filtering out is performed; S2, the depth video on which filtering out is performed is converted into three-dimensional point cloud data by combining a plane coordinate and a depth value, and then a scene model is built according to the three-dimensional point cloud data; S3, the color corresponding to each point in the three-dimensional point cloud data is obtained from color video data on which filtering out is performed and the color is applied to the scene model so as to obtain a color scene model; S4, the format of data of the color scene model are converted into the 3D file format, and converted files are 3D scene files. The scene generated through the method is verisimilar and natural, modeling is convenient and efficient, calculation amount and memory space are small during drawing, and the method is more suitable for real-time modeling and drawing.

Methods, systems, and articles of manufacture consistent with the present invention manage business issues by modeling the business issues and domain semantics in real time. After the business issues are modeled, the functional and the underlying technical and infrastructure components that are responsible for fulfilling the business process execution are located and identified automatically. Specific behaviors of those components are observed to determine what transpires within those components so that the information can be related back to the business issues. Accordingly, business issues may be analyzed in real-time with current data that is automatically extracted from the underlying hardware and software systems.

The invention discloses a three-dimensional environment model reconfiguration method, equipment and system based on image recognition. The method comprises the following steps: extracting and matching feature points, and carrying out back projection by using the feature points to obtain pixel information; and carrying out stereo matching and iterative updating according to the pixel information. The accuracy of reconfiguration of a three-dimensional scene is improved; and visual and accurate reference is provided for follow-up construction management. The equipment runs on the basis of the method, in a whole construction process, modeling is implemented in real time by computer vision three-dimensional reconfiguration, and a construction scene is recovered visually and clearly. According to the system, images are acquired through a helmet, a camera is arranged on the helmet, terminal equipment is arranged on the background, and project management personnel who do not need to enter a construction site can clearly know the construction process of the site. By the management personnel, a three-dimensional reconfiguration model can be compared with an expected planning model of an expected construction process in BIM in real time, deviation in implementation is discovered in time, and the management efficiency is greatly improved.

The invention discloses a three-dimensional imaging and real-time modeling based oral rehabilitation method. The method includes the following steps: step one, utilizing a scanning device to rapidly obtain a facial model and dental model of a patient in real time, wherein the facial model is the color three-dimensional point cloud data of the mandibular part of the face when the patient grins, andthe dental model is the color three-dimensional dental point cloud data of the upper and lower dentitions in the mouth of the patient under an occlusal state. Thus, the color three-dimensional facialmodel and color three-dimensional full mouth dental model of the patient can be rapidly obtained in real time, and intraoral scanning and real-time modeling can be directly performed, so that workingefficiency can be enhanced; the oral environment of the patient can be simulated by registering the dental model in the mouth of the patient; through the rehabilitation design of the three-dimensional model of doctors for the patient, the patient can visually observe the simulation effects before and after dental rehabilitation, so that good communication between the doctors and the patient can be achieved; and based on the three-dimensional oral rehabilitation design, various disadvantages of two-dimensional DSD can be overcome, and oral digital design can be completed.

The invention provides a real-time three-dimensional face modeling method based on depth information; the method does not adopt any previous standard face models but realizes the three-dimensional real-time modeling through registration and integration of a plurality of face depth images. The method comprises the following steps: systematically building depth information acquired from kinect; separating facial images from the depth images; back projecting, so as to form three-dimensional point cloud; smoothing, registering, integrating, drawing and displaying. With the adoption of the real-time three-dimensional face modeling method used for the computer graph and image processing and based on the depth information, a three-dimensional real-time face model required by a user can be rapidly generated only through that the user sits in the front of kinect, so that the cost and time spent on three-dimensional face modeling through laser scanning in the past are greatly reduced, and errors caused by using two-dimensional images for three-dimensional face modeling are avoided, so that three-dimensional real-time face modeling is realized at a lower cost.

The invention discloses a virtual driving system based on real scene modeling, which comprises a computer, a driving operation input module, a virtual scene system and virtual reality hardware. The virtual scene system is loaded in the computer, and the virtual scene system comprises a sphere scene module and a driving control module. The driving operation input module comprises a steering wheel and a pedal, and the steering wheel and the pedal are connected with the computer through data interfaces; the virtual reality hardware comprises a VR helmet and a three-dimensional space tracking positioner; the sphere scene module comprises a sphere model and a real scene video frame picture attached to the inner surface of the sphere model; the driving control module comprises a speed change control module and a direction change control module. According to the invention, a virtual driving scene is built by using the shot real scene video, so that the reality of the scene is high; meanwhile,with the virtual reality hardware, a user can experience the immersive driving feeling, and then the training efficiency and effect can be improved.

The invention relates to the field of monitoring technologies for vacuum circuit breakers, in particular to intelligent device and method for monitoring switch-on spring performance of a vacuum circuit breaker. The device comprises a circuit breaker, a sensor, a controller and output equipment, wherein the sensor is used for monitoring operational parameters of the circuit breaker and sending an acquired real-time modeling signal to the controller; the controller is used for receiving the operational parameters output by the sensor and processing the acquired parameters to calculate out a corresponding switch-on spring force value which is transmitted out through the output equipment; the sensor is a pressure sensor; and the operational parameters of the sensor are force value parameters of the sensor. According to the invention, whether the switch-on spring of the vacuum circuit breaker is fatigued or not can be timely and accurately judged, so that the working state of the circuit breaker can be timely known, untimely or unnecessary power failure test and maintenance can be reduced, maintenance workload is also reduced, maintenance cost is saved, and the reliability and economical efficiency of an electric power system are both obviously improved.

A method for predicting the quality of products on a reconfigurable production line comprises the following steps: (1) selecting quality control points of key procedures, detecting on line, recording the quality information of parts, analyzing error factors in processing, and storing the related information in a quality information database of a master server; (2) setting initial parameters for predicting and controlling the quality, adopting the principle that the prevention is first to predict key quality characteristics, modeling the error sequences obtained by the detection in real time, and solving a predicted value of product production; and (3) according to the trend information of the errors and by integrating sensor information on production stations, when the predicted data is beyond an upper control line and below a lower control line, a quality problem is proved to exist in the production course of the product, the devices of each production station need to be inspected, adjusted or compensated, and corrective measures need to be established. The quality of the product on the reconfigurable production line can be predicted by the method.

The invention provides a human body real-time modeling system and a modeling method thereof adopting a dual kinect and a rotating platform, comprising a geometric reconstruction module; a camera calibration module; a texture mapping module, etc. Through human body scanning, filtering and denoising, camera tracking and calibration, point cloud fusion and texture mapping, the final three-dimensionalhuman body model is obtained. The invention has the following advantages: the traditional ICP algorithm is improved, the speed of three-dimensional model reconstruction is accelerated, and the requirement of computer configuration is lowered; the real-timeness of human body reconstruction system is kept, the human body model is reconstructed in a short time, the requirement for stationary remaining for a long time on people is loweed, and no special clothes or props are needed; a cheap, fully automatic human body reconstruction system is built and developed, breaking through the traditionalhuman body reconstruction program funding, accuracy constraints; On the basis of geometric reconstruction, the high-quality texture is reconstructed by using the high-fidelity color image provided byKinect.

The invention discloses a robot obstacle avoidance method based on a depth sensor. Due to the arrangement of the depth sensor, depth information in the whole visual field of a robot can be acquired at a time; distances and shapes of obstacles can be calculated according to the depth information, so that the robot can plan obstacle avoidance routes in advance, and real-time modeling of the environment can be realized. The method does not need expensive equipment, and is good in detection effect, convenient in route planning and high in accuracy; the response speed of the robot and the rationality of obstacle avoidance are greatly improved, so that the robot can walk freely in a rapidly changing environment.

The invention discloses a DMA real-time modeling method for a city water supply pipe network. The method comprises following steps: firstly, constructing a DMA pipe network model and performing inlet boundary processing; secondly, connecting the pipe network model with a GIS, a revenue system and an SCADA system; then, pre-processing data in an online mode; and finally, simulating in a real-time manner. The DMA real-time modeling method for the city water supply pipe network has following beneficial effects: a DMA real-time model can be set up completely; the model can fully mirror dynamic features of the water supply pipe network so that uncertainty of the model is reduced and simulation precision and dynamic tracking performance can be greatly improved; at the same time, the city water supply pipe network real-time model can be gradually set up with the method as a base and used for tracking abnormity and positioning.

The present invention relates to a task scheduling method for a real time operating system (RTOS) mounted to an embedded system, and more particularly, to a task scheduling method which allows a programmer to make a CPU reservation for a task. The task scheduling method for a real time operating system, includes: at a scheduling time point, determining whether or not a highest priority of tasks present in a ready queue is a predetermined value K; if the highest priority is determined to be K, applying a reservation based scheduler to perform a scheduling; and if the highest priority is determined not to be K, applying a priority based scheduler to perform a scheduling; the tasks present in the ready queue, the priority of which is K, contains idle CPU reservation allocation information received as a factor when the tasks the priority of which is K are created.