18205 results about "Intelligent control" patented technology

A system and method of detecting an aberrant message is provided. An ordered set of words within the message is detected. The set of words found within the message is linked to a corresponding set of expected words, the set of expected words having semantic attributes. A set of grammatical structures represented in the message is detected, based on the ordered set of words and the semantic attributes of the corresponding set of expected words. A cognitive noise vector comprising a quantitative measure of a deviation between grammatical structures represented in the message and an expected measure of grammatical structures for a message of the type is then determined. The cognitive noise vector may be processed by higher levels of the neural network and / or an external processor.

A user configurable RAID system designed to provide RAID functions as well as mass storage functions in a non-RAID mode. Flexibility is built into the system to allow the user to configure the SCSI bus to which removable drive modules are connected into one or more channels to define some of the drive modules in a RAID set and others as stand-alone drives which are independently operated or logically grouped and operated in a non-RAID mode. Removable internal SCSI bridges allow the SCSI bus to be configured into one or more channels. In the RAID mode, the system is configured to prevent a wrong drive from being removed from the system in the event of a drive failure. The system automatically unlatches only the failed drive. The RAID system includes an intelligent control unit ("ICU"), a RAID controller and a modem. The ICU allows the system administrator to access the RAID system Monitor Utility so that the status of the system may be monitored and its configuration changed. The ICU also monitors the failure status of the various components of the system. The ICU has a built-in pager feature that can be configured with the Monitor Utility to page the system administrator via the modem when a component or system failure is encountered. The RAID controller controls the functions of the RAID set as programmed and configured using the Monitor Utility. The Monitor Utility may be remotely accessed using a computer via the modem. Redundant removable power supply and fan units are provided to improve system integrity. The removable power supply and fan units are configured such when the unit is plugged into the system housing, the fan is first turned on and the power through the unit is allowed to stabilize before turning on the power supply to begin providing DC power to the components in the system. A set of manual release buttons are provided for manually unlatching the drive modules from the system housing. A locking mechanism is provided for simultaneously locking all the manual release buttons.

An electronic device with self-learning function includes an input unit, a state detecting unit, a state recording unit, a state analysis unit, and a processing unit. The input unit generates input signals according to operations of a user. The state detecting unit detects real-time values of the state parameters. The state recording unit obtains the real-time values of predetermined state parameters when the input signals are received. The state analysis unit analyzes whether the times of an operation under a same state parameter value or in same state parameter value range has reached or equal to a predetermined number of times within a predetermined time period. If yes, the state analysis unit determines the operation is a habit and the state parameter value corresponding to the operation is the state parameter value of the habit. The processing unit executes a task corresponding to the habit.

The invention discloses a multi-camera intelligent control method and a device. The method comprises the following steps: detecting a moving target in a video signal; analyzing the size, position and moving parameters of the moving target in an image; controlling the orientation and the focal length of the camera according to the size, position and moving parameters of the moving target and leading the moving target to be displayed in a video picture of the camera in appropriate position and size so as to realize the tracking of the moving target; predicting the monitoring area to be entered of an adjacent camera by the moving target according to the position and moving direction of the moving target and the monitoring range of the adjacent camera, and controlling the position and focal length of the adjacent camera, so as to lead the viewing field of the adjacent camera to capture the moving target or wait the moving target for entering the viewing field. The invention can carry out full-range cross-camera automatic tracking to the moving target in the monitoring area covered by the multi-camera and can utilize the moving target information of various cameras comprehensively, thus carrying out linked control to the cameras of the whole system.

Low-cost intelligent control and communication devices are arranged to communicate with one another over one or more shared physical media, such as a powerline or a radio frequency band. No network controller is needed, because any device can act as a master, slave, or repeater. Adding more devices makes the system more robust, by virtue of a simple protocol for communication retransmissions and retries.

The invention discloses an electric vehicle lease management system on the basis of charging piles. The electric vehicle lease management system comprises a system remote management control center, electric vehicles, the charging piles and intelligent terminals. A vehicle battery data acquisition module, a wireless communication module and an intelligent control module are mounted on each electric vehicle; an intelligent control unit and a communication module are mounted on each charging pile, each intelligent terminal is wirelessly communicated with the system remote management control center, and the wireless communication module of each electric vehicle is wirelessly communicated with the system remote management control center. The electric vehicle lease management system has the advantages that lease systems which are used by vehicle lease users and management staffs can be conveniently and quickly implemented by the aid of modern information network technologies, the users can order lease application and check relevant lease information via the intelligent terminals or directly via computers at any time in any places, and the management staffs can monitor various indexes such as electric vehicle location data and battery data in real time, and prompting effects can be timely realized.

A coolerless photonic integrated circuit (PIC), such as a semiconductor electro-absorption modulator / laser (EML) or a coolerless optical transmitter photonic integrated circuit (TxPIC), may be operated over a wide temperature range at temperatures higher then room temperature without the need for ambient cooling or hermetic packaging. Since there is large scale integration of N optical transmission signal WDM channels on a TxPIC chip, a new DWDM system approach with novel sensing schemes and adaptive algorithms provides intelligent control of the PIC to optimize its performance and to allow optical transmitter and receiver modules in DWDM systems to operate uncooled. Moreover, the wavelength grid of the on-chip channel laser sources may thermally float within a WDM wavelength band where the individual emission wavelengths of the laser sources are not fixed to wavelength peaks along a standardized wavelength grid but rather may move about with changes in ambient temperature. However, control is maintained such that the channel spectral spacing between channels across multiple signal channels, whether such spacing is periodic or aperiodic, between adjacent laser sources in the thermally floating wavelength grid are maintained in a fixed relationship. Means are then provided at an optical receiver to discover and lock onto floating wavelength grid of transmitted WDM signals and thereafter demultiplex the transmitted WDM signals for OE conversion.

This invention is directed to a parallel, control-information generation, distribution and processing system. This scalable, pipelined control and switching system efficiently and fairly manages a plurality of incoming data streams, and applies class and quality of service requirements. The present invention also uses scalable MLML switch fabrics to control a data packet switch, including a request-processing switch used to control the data-packet switch. Also included is a request processor for each output port, which manages and approves all data flow to that output port, and an answer switch which transmits answer packets from request processors back to requesting input ports.

The invention relates to a monitoring system and specifically relates to a plant-level comprehensive supervision platform. The plant-level comprehensive supervision platform comprises a front-end system, a transmission network and a master station system, wherein the front-end system is integrated with subsystems of video monitoring, environmental monitoring, security guard, fire alarm, one-card-through, entrance and exit control, maloperation prevention, gps positioning, intelligent lighting, intelligent control and the like in a thermal power plant; the transmission network functions as a bridge for connecting the front end and the platform; the master station system comprises a local monitoring center, a cloud computing system, an application platform and a whole network operation and maintenance platform. The comprehensive supervision platform is a large online monitoring system integrated with hardware, software and network; the platform software is taken as the core to realize centralized management on all zones; besides, centralized monitoring and uniformed management on the front-end system can be realized at a regulation and control center; in short, the plant-level comprehensive supervision platform escorts the smart grid.

A method and system for implementing a neuro-controller. One example of a neuro-controller is a brain-like stochastic search. Another example is a neuro-controller for controlling a hypersonic aircraft. Using a variety of learning techniques, the method and system provide adaptable control of external devices (e.g., airplanes, plants, factories, and financial systems).

The invention discloses an intelligent control method, device and system based on instant messaging. The method comprises the following steps: obtaining a control instruction through an instant messaging application, wherein the control instruction is used for carrying out corresponding operation on corresponding intelligent devices; analyzing the control instruction, and comparing the control instruction with a preset database to obtain corresponding intelligent device labels, operation time and operation content; judging whether the operation time arrives; and when the operation time arrives, sending the operation content to the intelligent devices of the corresponding labels to enable the intelligent devices of the corresponding labels to carry out operation corresponding to the operation content. The intelligent control device can manage different types of intelligent devices through instant messaging, thereby enhancing man-machine interaction experience and facilitating unified management of the intelligent devices.

The invention discloses a safe state recognition system for people on the basis of machine vision, aiming to solve the problem that the corresponding intelligent control decision for the vehicle driving behaviour can not be formulated according to the safe state of the people in the prior art. The method comprises the following steps: collecting a vehicle-mounted dynamic video image; detecting and recognizing a pedestrian in an interested area in front of a vehicle; tracking a moving pedestrian; detecting and calculating the distance of pedestrian in front of the vehicle; and obtaining vehicle real-time speed; and recognizing the safe state of the pedestrian. The process of recognizing the safe state of the pedestrian comprises the following steps: building a critical conflict area; judging the safe state when the pedestrian is out of the conflict area in the relative moving process; and judging the safe state when the pedestrian is in the conflict area in the relative moving process. Whether the pedestrian enters a dangerous area can be predicted by the relative speed and the relative position of a motor vehicle and the pedestrian, which are obtained by a vision sensor in the above steps. The safe state recognition system can assist drivers in adopting measures to avoid colliding pedestrians.

Systems and methods for intelligent control of microphones in speech processing applications, which allows the capturing, recording and preprocessing of speech data in the captured audio in a way that optimizes speech decoding accuracy.

The invention discloses a method based on monocular vision for detecting and roughly positioning the edge of a road, and relates to the field of machine vision and intelligent control. Aiming at a continuous road with different edge characteristics, two road edge detection methods are supplied and suitable for semistructured and nonstructured roads and can be applied to vision navigation and intelligent control over a robot. The invention provides a method for detecting the edge of the road based on colors and a method for detecting the edge of the road based on threshold value partitioning. On the basis of the obtained edge of the road, an image is subjected to inverted perspective projection transformation, so that a front view is transformed into a top view; and according to a linear corresponding relation between a pixel and an actual distance in the image, a perpendicular distance from the current position of the robot to the edge of the road and a course angle of the robot can be calculated. The method is easy to implement, high in anti-interference performance, high in instantaneity and suitable for the semistructured and nonstructured roads.

The invention provides an NFC (Near Field Communication) intelligent automobile key system with permission and authorization functions. The NFC intelligent automobile key system comprises an intelligent control platform, an intelligent vehicle terminal, a borrower mobile telephone and a vehicle owner authorization terminal, wherein the intelligent control platform comprises an automobile safety comprehensive processing module, a vehicle access module, a user access module and a first network access module; the borrower mobile telephone comprises a first wireless communication module, an automobile key management module, a first NFC module; the intelligent vehicle terminal comprises a second wireless communication module, a safety management module, a second NFC module and a vehicle control module; the vehicle owner authorization terminal comprises a second network access module and an automobile key authorization module; and the borrower mobile telephone can conduct NFC with the intelligent vehicle terminal through the first NFC module and the second NFC module. The NFC intelligent automobile key system is used for authorization and management of an automobile key.

The invention provides an intelligent controller used for a direct current (DC) frequency-conversion air conditioner compressor and a technical proposal of the control method thereof; the hardware proposal comprises a rectifier filter circuit and a power module which are electrically connected sequentially; the rectifier filter circuit (220) is also electrically connected with a single DSP controller used as a core processing unit by a switch power supply (240); the single DSP controller is also respectively and electrically connected with the power module, a communication isolation circuit which is used for communicating with the indoor machine of the air conditioner, a fan driving circuit (280), and a temperature sampling circuit (270); the control method comprises the steps as follows:the control software is embedded in the DSP controller; by a control type of dual close-ring FOC no-sensor magnetic field vector, the current ring at the internal ring realizes the decoupling controlto the driving current of the permanent magnetic synchronous motor of a compressor and indirectly controls the output torque of the motor; the speed ring at the external ring is used for controlling the working frequency of the compressor, thus not only meeting the stable requirement during fixed frequency but also meeting the dynamic response during the frequency conversion; and the control software comprises a primitive recursive function and a main interrupt function.

A system for real-time optimization of power resources on an electrical system is disclosed. The system includes a data acquisition component, an analytics server, a control element and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and a power flow optimization engine. The virtual system modeling engine is configured to generate predicted data output for the electrical system utilizing a virtual system model of the electrical system. The control element is interfaced with an electrical system component and communicatively connected to the analytics server. The client terminal is communicatively connected to the analytics server.

The invention relates to an intelligent traffic signal lamp control device based on the comprehensive computer vision, which comprises a camera device and a microprocessor, wherein the camera device is installed above the middle part of an intersection and used for obtaining a traffic state panorama video image at the whole intersection; the microprocessor is used for detecting the queue length of vehicles waiting for passing through at the intersection and the congestion state of an outlet according to the panorama video data of the camera device and deciding the signal lamp control strategy and controlling the signal lamp switching action; the intelligent control carried out by the signal lamp control strategy of each phase to traffic signal lamps is determined through detecting the vehicle queue length at an inlet of each phase and the congestion state at the outlet, so that the sequence at the intersection is good, therefore, the conflict points where the traffic accidents are possibly caused are reduced or completely eliminated, and the operating indexes at the intersection are optimal.

A combined power supply and driver control module includes rectifier circuitry, switching circuitry, and driver circuitry for providing output power to a load. Rectified output from an input power source is used to produce a DC power. The switching circuitry receives the DC power and modulates the input current drawn from the power source. An intelligent control module includes control circuitry, such as a digital processor, for controlling the switching circuitry. Power factor is improved by modulating the input current to be closer in phase with the voltage of the power source. Also disclosed is a power factor correction circuit in which a digital processor reads waveform values from a lookup table and modulates the input current waveform based on the values. A zero crossing detector connected to the input power source may direct the digital processor when to commence reading values from the lookup table.

The invention relates to a robot man-machine interaction method based on user mood and intension recognition. User mood recognition is carried out by combining human body biological information such as breath, the heart rate and the dermal electricity with facial expression recognition. The user intension is recognized through different kinds of physical sensor information such as pressure, photoelectricity and temperature. Intelligent control and decision making are carried out according to the user mood and intention recognition results. A corresponding execution mechanism of a robot is controlled to complete limb movements and voice interaction. By means of the robot man-machine interaction method based on user mood and intension recognition, the robot can understand the user intension more thoroughly, know the metal changes of a user, meet the functional requirement for emotion care for the user, and better participate in the life of users such as the old people and children.

The invention provides an autonomous underwater vehicle (AUV) trajectory tracking control method based on deep reinforcement learning, belonging to the field of deep reinforcement learning and intelligent control. The autonomous underwater vehicle trajectory tracking control method based on deep reinforcement learning includes the steps: defining an AUV trajectory tracking control problem; establishing a Markov decision-making process model of the AUV trajectory tracking problem; constructing a hybrid policy-evaluation network which consists of multiple policy networks and evaluation networks;and finally, solving the target policy of AUV trajectory tracking control by the constructed hybrid policy-evaluation network, for the multiple evaluation networks, evaluating the performance of eachevaluation network by defining an expected Bellman absolute error and updating only one evaluation network with the lowest performance at each time step, and for the multiple policy networks, randomly selecting one policy network at each time step and using a deterministic policy gradient to update, so that the finally learned policy is the mean value of all the policy networks. The autonomous underwater vehicle trajectory tracking control method based on deep reinforcement learning is not easy to be influenced by the bad AUV historical tracking trajectory, and has high precision.

A method of processing information is provided. The method involves receiving a message; processing the message with a trained artificial neural network based processor, having at least one set of outputs which represent information in a non-arbitrary organization of actions based on an architecture of the artificial neural network based processor and the training; representing as a noise vector at least one data pattern in the message which is incompletely represented in the non-arbitrary organization of actions; analyzing the noise vector distinctly from the trained artificial neural network; searching at least one database; and generating an output in dependence on said analyzing and said searching.

The invention includes the car borne intelligent control device and the monitoring management system (center). The car borne intelligent control device consists of the vehicle location unit, the unitfor monitoring vehicles, the mobile display terminal and the emergence process unit. The monitoring manage system is composed of two paths digital mobile communication, two paths telephone lines and one computer server. The information in the vehicle location unit and the monitoring vehicles unit of the car borne intelligent control device is processed by the data processor of the control device.The processed information is displayed on the mobile display terminal and the station is reported automatically by using voice. Also the processed information is sent to the monitoring management center through digital mobile communication network.

The invention provides a smoke detection system and an intelligent control system using the same for a range hood. The intelligent control method comprises the following steps: analyzing captured images in a kitchen so as to perform smoke detection on the images and judge the smoke level; and setting the lampblack exhaust power of the range hood according to the smoke level, thus achieving the purpose of intelligent control on the range hood.

The present invention discloses apparatus and techniques relating to the intelligent control of a display's backlight LED strings. The present invention provides for controlling the display intensity on a region-by-region basis and for adjusting the intensity multiple times within the duration of a frame. The present invention also provides backlight adjustment in a manner that emphasizes certain colors and deemphasizes certain colors. The present invention also provides for adjustment of the backlight based on the ambient temperature.

The invention discloses a multifunctional intelligent routing inspection robot used in a power tunnel, which includes a vehicle body, wherein a driving wheel and a driven wheel are arranged at the top of the vehicle body; and an intelligent positioning module, an intelligent tracking module, an intelligent obstacle avoidance module, an intelligent imaging module, an intelligent distance measurement module, and an intelligent control module are arranged on the vehicle body. The multifunctional intelligent inspection robot used in the power tunnel has a rich inspection content, achieves a high inspection work efficiency, and can completely cover conditions in the tunnel; and in case of emergency, the site condition is clearly collected the first time and sent to a monitoring center, and an efficient treatment measure is taken for a specific part of the tunnel or a cable when necessary.

The invention includes the hardware devices composed of the pick-up head, the image interface and the processor, the time periodic image collection, the recognizing the direction of the person's eye gazing at as well as the non-contact intelligent control technique. In the said non-contact intelligent control technique, the direction of the person's eye gazing at is used as the control command or the auxiliary information. The invention can be applicable to home appliances, game machines, curing and nursing instruments or as the non-contact control devices for handicapped people etc. The gazing method can turn on or off some simple appliances such as air conditioners, 'waken' the robot or computer in the standby state. The gazing method also can indicate the user's intended control command.

The invention relates to a visual computing and prewarning method of deviation angle and distance of an automobile from a lane line. The image processing and computer vision technologies are utilized, and the deviation angle and distance of the automobile from the lane line are computed in real time according to the road surface image acquired by a vehicle-mounted camera, thereby estimating the line crossing time for safety prewarning. The method comprises the following steps: detecting the lane lines of the road surface image to obtain a linear equation of partial lane lines; establishing a three-dimensional coordinate system by using the camera as the initial point, and recording the mounting height and depression angle of the camera; calibrating the focal length according to the lane detection result under the condition of a given deflection angle; computing the deflection angle and vertical distance of the automobile relative to the lane line according to a pinhole camera model; and estimating the deviation time from the lane according to the instantaneous running speed of the automobile, thereby obtaining the safety prewarning or intelligent control information of the running automobile.