205 results about "Real time model" patented technology

A sentient system combines detection, tracking, and immersive visualization of a cluttered and crowded environment, such as an office building, terminal, or other enclosed site using a network of stereo cameras. A guard monitors the site using a live 3D model, which is updated from different directions using the multiple video streams. As a person moves within the view of a camera, the system detects its motion and tracks the person's path, it hands off the track to the next camera when the person goes out of that camera's view. Multiple people can be tracked simultaneously both within and across cameras, with each track shown on a map display. The track system includes a track map browser that displays the tracks of all moving objects as well as a history of recent tracks and a video flashlight viewer that displays live immersive video of any person that is being tracked.

Systems and methods for performing module-based diagnostics are described. In an exemplary embodiment, sensor values from an actual engine plant are input to an engine component quality estimator which generates performance estimates of major rotating components. Estimated performance differences are generating by comparing the generated performance estimates to a nominal quality engine. The estimated performance differences, which are indicative of component quality, are continuously updated and input to a real-time model of the engine. The model receives operating conditional data and the quality estimates are used to adjust the nominal values in the model to more closely match the model values to the actual plant. Outputs from the engine model are virtual parameters, such as stall margins, specific fuel consumption, and fan / compressor / turbine efficiencies. The virtual parameters are combined with the sensor values from the actual engine plant in a fault detection and isolation classifier to identify abnormal conditions and / or specific fault classes, and output a diagnosis.

An active set algorithm exploits a ‘hot start’ for the set of binding constraints at optimality along with efficient linear algebra to make rapid progress towards the solution. The linear algebra is designed to deal with degenerate constraints as the required factorizations are performed and as degeneracy emerges, and not via a mostly unnecessary pre-process step. Combined together, these novel approaches enable solution of the control problem in real-time.

New methods and systems for subterranean fracturing for hydrocarbon wells. A plan of the fracture propagation and in-fracture proppant distribution is used with a real-time model of the status of the fracture dimensions and in-fracture proppant concentration to automatically control flow rates and properties of a fracturing fluid flow stream being used to induce and prop the fracture. Real-time measurements of the status of the fracture are made using surface and / or down-hole sensors. Real-time control over the flow rate and properties of a fracturing fluid flow stream are made by manipulating the fracturing fluid supply equipment. Real-time modifications of the fracturing model are made by comparing fracture sensor measurements of actual fracture dimensions to the predicted dimensions, and then adjusting the model for inaccuracies. Real-time updates to the fracturing plan are made by comparing actual fracture and propping results to desired results, and then adjusting to achieve optimal results.

The present invention discloses a high-precision satellite attitude determination method based on star sensor and gyroscope, which comprises the following steps: step 1. establishing a status equation of a satellite attitude determination system; step 2. establishing a measurement equation of the satellite attitude determination system; step 3. performing an online real-time model error estimation through predictive filtering; and step 4. performing a status estimation on a compensated model through 2-order interpolation filtering to obtain the attitude of a satellite. By applying predictive filtering to performing an online real-time model error estimation and correcting the system model, the invention overcomes the shortcoming existing in the conventional estimation process that error is processed into zero-mean white noise; and in addition, the invention can process any nonlinear system and noise conditions to obtain an estimation result of higher precision and is applicable to thefield of high-precision attitude determination.

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 smart home network comprises a plurality of appliances, each of which comprises a unique radio frequency identification tag. The smart home network further comprises a plurality of power outlets, each of which has a unique ID. The power outlets of the smart home network are capable of detecting the RFID tag and measuring the operational parameters of the appliances. The power outlets are further coupled to a central controller. The central controller receives operational parameters of the appliances from the power outlets, constructs a real time model of the smart home and forwards analytical results to a display terminal.

Testing machine learning sensors by adding obfuscated training data to test data, and performing real time model fit analysis on live network traffic to determine whether to retrain.

The invention discloses target detection system and method based on covariance and a binary-tree support vector machine. The system comprises a video data collecting unit, an image preprocessing unit and a background modeling vehicle partitioning and displaying unit. The video data collecting unit is used for acquiring information in real time and carrying out digitization and system conversion on analog videos. The image preprocessing unit comprises an FPGA (Field Programmable Gate Array) and a DSP (Digital Signal Processor), wherein the FPGA is used as a coprocessor; and the DSP is used as a main processor to accomplish the background modeling of video images, the partitioning and the extraction of vehicle targets and the realization of a model identification algorithm. Utilizing the combination of the FPGA and the DSP, the invention can realize multi-video real-time model identification through combining with the model identification algorithm based on the covariance features of the images and the support vector machine. The invention can be widely used for a plurality of fields of intelligent traffic management, intelligent video monitoring and the like.

The invention belongs to the technical field of power systems and discloses a system for monitoring a secondary circuit model on line in real time based on a protection device. The system comprises a network communication module, a model resolution module, a graph generation module, a model storage module and a real-time comparison module, wherein the model resolution model is connected with the graph generation module and the model storage module and outputs a substation configuration description (SCD) static model and a resolved configured IED description (CID) on-line model respectively; the real-time comparison module is connected with the network communication module and the model storage module, receives a generic object oriented substation event (GOOSE) real-time model, a verified SCD static model and a resolved CID on-line model, compares and outputs a comparison result to the network communication module, and the comparison result is uploaded to a background system to realize real-time on-line monitoring. By the system, a phenomenon that a virtual terminal and a secondary circuit of the protection device make mistakes due to SCD file modification, CID configuration errors, secondary circuit real-time connection obstacles corresponding to GOOSE messages and the like can be timely found, so that operational risks of a substation are reduced.

The invention discloses a turboshaft engine dynamic real-time model establishing method and system. The method comprises the steps that a turboshaft engine dynamic real-time model is established; and a surplus oil flow dynamic coefficient adding and subtracting method is used for establishing the turboshaft engine dynamic real-time model. The problem that in an existing engine dynamic real-time model establishing process, modeling is carried out under the situation that only trail run data exist, and part feature data do not exist is solved, the method and system are suitable for engine numerical control system semi-physical simulation and can provide model guarantee for sensor analysis redundancy technology, and positive promotion effect is achieved on development cycle shortening and test risk and cost lowering.

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.

Deformations occurring in cloth can be decomposed into two components: the in-plane and the out-of-plane deformations. Stretch and shear are in-plane deformation, and bending is out-of-plane deformation. In the method, the numerical simulation can be done in real-time, and the models fix some flaws that existed in previous real-time models, leading to conspicuous reduction of artifacts. The (|x|−C)2 in the energy function is replaced with |x−x*|2 for some constant vector x*, such that the force Jacobian becomes a constant, which obviates solving the large system of linear equations at every time step. The method uses simplified physical models for both edge-based and triangle-based systems.

The invention provides a real time voice denoising method and device; the method comprises the following steps: generating a frequency domain zone noise voice signal according to a voice input received by a voice receiver; calculating a logarithm spectrum posterior signal to noise ratio according to the frequency domain zone noise voice signal, wherein the logarithm spectrum posterior signal to noise ratio refers to a ratio between logarithm of a power spectrum of a present frame frequency domain zone noise voice signal and a logarithm of a previous frame noise power estimation value; obtaining a noise power spectrum estimation value according to the logarithm spectrum posterior signal to noise ratio and based on a weight noise estimation algorithm; generating a Wiener filtering gain function according to the noise power spectrum estimation value, and filtering the frequency domain zone noise voice signal according to the gain function, thus generating a frequency domain denoising voice signal; generating a time domain denoising voice signal according to the frequency domain denoising voice signal, and the time domain denoising voice signal is further processed by the voice receiver. Correspondingly, the invention also provides the real time voice denoising device.

The invention discloses a method for building a covered wire inner full-state turbofan engine vehicle-mounted real-time model. The method comprises the steps of firstly building a vehicle-mounted real-time dynamic model, indicating an applied force-included and above-idle-speed state, of a turbofan engine, then, building a starting simplified model of the turbofan engine, finally, utilizing a Kalman filter for estimating gas circuit performance characteristic parameters of the turbofan engine, and building a vehicle-mounted self-adaptation real-time model indicating the applied force-included and above-idle-speed state. The method can meet the requirement of a covered wire full-state general model of the turbofan engine for precision and vehicle-mounted real-time performance, the strong adaptive capacity for model mismatch caused by the engine individual difference and performance degradation is obtained, model foundation is provided for experimental verification of a modern control theory and a fault-tolerant control method, and the method plays a positive and promotion role in shortening the preparation time, reducing test risk and cost.

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 method for online positioning a broken pipe of an urban water supply network based on SCADA data and a real-time model. The method comprises the following steps of: firstly, detecting a pressure wave trough to determine the suspected pipe breaking time boundary and checking measurement points; then selecting measurement points with remarkable abnormality change in the measurement points according to the flow abnormality change of the measurement points after each pipe breakage happens; designating a rectangular region to serve as an initial region for searching pipe breaking points by a real-time optimizing and checking model according to locations of the measurement points; and finally iteratively solving a minimum value by taking the sum between the pressure simulation value and actual valve of a pressure measurement point in continuous cycle as the evaluation standard of a target function so as to acquire the most probable pipe breaking node pipe breaking flow. The method can be used for quickly detecting and positioning pipe breaking and other abnormal incidents with high accuracy, and reducing hurt of pipe breaking for the water supply network system.

The invention discloses a construction site safety risk identification, assessment and prevention method comprising the following steps: S1, creating a real-time model of a construction project, identifying and assessing a dangerous work area in the real-time model, and creating a DVF; and S2, acquiring real-time data of a construction site, detecting the safety risk of the construction site according to the real-time data and the DVF, generating a warning, and perfecting safety precautions. Through the method, the construction process of a dynamic project can be visualized in real time, unknown risks can be identified and assessed, safety precautions can be strengthened, and the safety of the construction site can be improved. A BIM semi-finished product model can be created with the project advances. Risks can be identified in phases, and the accuracy is higher. The safety risk of a construction site can be identified, assessed and prevented in real time. The working state of workers can be monitored in real time. Once there is a worker approaching a danger area, the alarm is raised immediately. The precaution consciousness of workers is improved. A real-time and effective building construction safety management system is formed.

A system uses machine models to estimate trip durations or distance. The system trains a historical model to estimate trip duration using characteristics of past trips. The system trains a real-time model to estimate trip duration using characteristics of recently completed trips. The historical and real-time models may use different time windows of training data to predict estimates, and may be trained to predict an adjustment to an initial trip estimate. A selector model is trained to predict whether the historical model, the real-time model, or a combination of the historical and real-time models will more accurately estimate a trip duration, given features associated with a trip duration request, and the system accordingly uses the models to estimate a trip duration. In some embodiments, the real-time model and the selector may be trained using batch machine learning techniques which allow the models to incorporate new trip data as trips complete.

The invention discloses a supervising method and system of a way mark. The method includes the steps of establishing a preprocessing standard model through a mark single-sequence mode according to a known way standard GPS and image data, obtaining the latest real-time GPS and image data through inspection operation, establishing a real-time model through a mark double-sequence mode, comparing real-time model data with standard model data through double-sequence matching search, matching the real-time optimal image obtained in the real-time model with the standard image in the standard model, comparing standard model image data through an image matching algorithm, determining the specific type of identification damage, renewing the standard model according to the recognition result and the maintenance state. According to the way identification position and the relationship between the images, the damage and type of the way mark are collected periodically in real time and recognized and positioned automatically, the way asset detection efficiency is improved, and the maintenance workloads are reduced.

A system and methods for real-time model based vehicle structural anomaly detection are disclosed. A real-time measurement corresponding to a location on a vehicle structure during an operation of the vehicle is received, and the real-time measurement is compared to expected operation data for the location to provide a modeling error signal. A statistical significance of the modeling error signal to provide an error significance is calculated, and a persistence of the error significance is determined. A structural anomaly is indicated, if the persistence exceeds a persistence threshold value.

The invention discloses an asymmetric image encryption and decryption method based on a quantum cell neural network system, and relates to the technical field of information security. The defect that a secret key of an existing cryptosystem is intercepted and cracked is overcome. The asymmetric image encryption and decryption method comprises an image encryption process and an image decryption process. A function projection synchronization method is used for conducting synchronization on two three-cell-coupling quantum cell neural network super mixing degree systems with unknown control parameters and unknown initial conditions. A synchronous control rule and a parameter update rule of the systems are given according to the Lyapunov theory. According to the synchronization method, a set of asymmetric image encryption and decryption methods are designed, and a system real-time model is given. In the decryption process, image decryption is accurately conducted on the condition of unknown control parameters and unknown initial conditions. An attacker is effectively prevented from intercepting the secret key.

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.

The invention relates to the technical field of engineering construction, in particular to a quality inspection method of hydraulic structures based on BIM, comprising the following steps: a true three-dimensional real scene model of a plant area is established based on a tilt photography method of an unmanned aerial vehicle; lightweight 3D real-time model is imported into BIM cloud platform for color difference analysis, and the analysis results of concrete structure leakage and seepage flow are presented in BIM cloud platform; outputting analysis results containing actual coordinates and field images. Compared with that prior art, Its advantages are: Based on the tilt photography method of UAV, with the ability of fast collection, the real-time three-dimensional model of sewage treatmentplant area is established, which truly reflects the concrete structure status of the site, and the high-score image shows its texture. Compared with the traditional manual query method, it is more efficient, can query in a large range in a short time, and avoids the safety risk of manual query.

The invention provides a training method for an active risk real-time identification model, comprising the steps of: marking a history business behavior according to an output of at least one offlineanomaly detection model, and generating a history business behavior set with the marking, wherein the input of the offline anomaly detection model includes the offline characteristics of the historical business behavior, and the output is the possibility that the historical business behavior belongs to the anomaly. Based on the tagged set of historical business behaviors, the tagged set of training samples is generated by semi-supervised learning. The real-time identification model of active risk is trained by training sample set with marker. The input of the active risk identification real-time model includes the real-time characteristics of the real-time business behavior, and the output has the possibility of active risk for the real-time business behavior.

The invention discloses a water supply pipe network real-time scheduling method, which is characterized by, to begin with, predicting minute-level water demand by utilizing real-time water volume data; then, pre-estimating pipe network operating state by utilizing real-time model simulation; and then, determining scheduling decision in the next time section through optimization search. The system, on the basis of an EPANET-RTX water supply pipe network real-time model, guides the scheduling decision by fully utilizing real-time data collected by the water supply pipe network basic automation and information system, and through short-term water demand forecasting and operation state estimation and the like on the basis of accurately reflecting the state of a water supply pipe network; and compared with a common scheduling method, the method is better.

A method, computer readable medium and a structure for real-time simulation, which allows the user to manipulate model parameters and see the simulated result in real-time as the model is changed. The simulated result is visually compared with the data, allowing the user to refine the model. In one embodiment, the invention is used for evaluating medium energy ion scattering (MEIS) data, as well as conventional Rutherford backscattering data. It is important to realize that the invention is not limited to ion beam analysis, or to scientific data analysis. The invention can be used for evaluating any type of complex system where a well-defined simulation procedure exists. The model evaluation must proceed quickly enough to provide a real-time, visual display for the user.