395results about How to "Overcoming distractions" patented technology

The invention discloses a human face video processing-based heart rate detection method. The method is implemented by the steps of (1) controlling a camera to acquire a video that the camera is over against a human face for 10s; (2) performing human face characteristic point detection and tracking on the acquired video, and performing tilt correction to obtain a stable human face video; (3) performing color space conversion on the human face video; (4) extracting a clean BVP (Blood Volume Pulse) signal from the human face video by utilizing video color amplification; and (5) performing iterative frequency domain analysis on a BVP and computing the frequency of the BVP signal to estimate a heart rate. According to the method, the interferences of a background and a rigid head motion are eliminated by utilizing human face characteristic point detection and tracking, the clean BVP signal is extracted through the video color amplification, and the iterative heart rate estimation is carried out, so that the accuracy of heart rate detection is improved and very good robustness is ensured; and the method can be used for non-contact heart rate detection in a real scene under cooperative and non-cooperative conditions.

The embodiment of the invention provides a device to device communication method, apparatus and system. The method includes acquiring configuration information nearby discovery sent by a base station, wherein said configuration information includes the signal duration and the transmission delay time of the nearby discovery message; timing downlink of the nearby discovery as a starting time, after the transmission delay time, sending out a nearby discovery message of the signal duration of the nearby discovery message, so a receiving terminal can receive the nearby discovery message in the delay time after the downlink timing of the nearby discovery; wherein the downlink timing of the nearby discovery is a downlink timing of the terminal in a cell. The technical scheme of the embodiment of the invention can realize D2D communication based on the existing mobile communication system, can achieve nearby discovery in the existing mobile communication system frequency spectrum and can realize nearby discovery synchronization by using the timing of the existing communication system.

The invention discloses a photoelectricity-navigation-based unmanned road recognition system which comprises a vision module, an image processing module, a road recognition module, a speed control module and a steering control module. Turning at a crossroad is mainly achieved through handling a road border, simulating a target trajectory at a track center and recognizing a turning sign. The multi-element PID steering control module and the speed control module realize constantly changing target trajectory when a vehicle rapidly tracks, and realize specified speed and the steering function through identifying color lumps marked by different colors. The intelligent optimized control system is different from a traditional tracking vehicle. The photoelectricity navigation vehicle can realize manless driving without peripheral support through identifying road borders (green belts, fences and the like) in reality and steering signs, thereby having a practical significance.

The invention discloses a low-altitude autonomous navigation system for a rotary-wing unmanned plane. The low-altitude autonomous navigation system is composed of a data acquisition device, a data preprocessing module, a data fusion module, a guidance control loop module and an attitude control loop module. The data preprocessing module is used for carrying out sampling filtering and error compensation on current location data information collected by the data acquisition device; the data fusion module is used for carrying out fusion and updating and obtaining a current position and speed of the rotary-wing unmanned plane; the guidance control loop module is used for calculating an expected attitude angle and an expected height value; and the attitude control loop module is used for generating a controlled quantity. According to the technical scheme, a problem of poor attitude estimation precision of the conventional navigation system can be solved; and requirements of high-precision heading attitude calculation and position and speed fusion of the rotary-wing unmanned plane can be met. High-precision filtering of the system is realized. On the basis of the analysis and calculation of the autonomous navigation system, the flight route and height can be corrected and the flight attitude can be adjusted autonomously; and the autonomous flight of the unmanned plane can be realized.

An open natural gas leakage multiplex inspecting method and optical channel configuration, based on semiconductor laser absorbing spectrum method, relates to master case and open long optical channel system. The master case sets with electrical source socket, switch, fan, optical fiber linker and data transmission interface. The master case owns closed infrared semiconductor laser, semiconductor laser controller, phase-locked amplifier,signal generator,data collection disposal and control module, light switch, light switch driving circuit and infrared detector and connects with the locale optics system by optical fiber. Open optical system relates to integral optics telescope and more component angle reflector array and the former owns import optical fiber coupling implement and output optical fiber coupling implement. It achieves the time-sharing inspect of more gas component and more multiplex based on optical fiber distributing configuration of the light switch technology.

The invention disclose an indoor positioning system and an indoor positioning method based on three-dimensional multipoint wireless and micro-inertia navigation as well as an expansion type indoor control system. The indoor positioning system comprises a calibration device and a sensing device, wherein the calibration device comprises at least three first wireless transceiver units used for sending signals at intervals of first preset time; and the sensing device comprises an inertia sensing unit, a second wireless transceiver unit and a processing unit, wherein the inertia sensing unit is used for sensing the motion of a target object, the second wireless transceiver unit is used for producing a response signal when receiving the signal transmitted by each first wireless transceiver unit, and the processing unit is used for respectively calculating a first space coordinate of the target object according to the motion of the target object sensed by the inertia sensing unit, calculating a second space coordinate of the target object according to the response signal, and combining and processing the first space coordinate and the second space coordinate to obtain the final space coordinate of the target object. With the adoption of technical schemes of the indoor positioning system and the indoor positioning method, the positioning accuracy is high, and the motion response of the target object is sensitive, and the response rate achieves the millimeter.

The invention relates to a command filtering backstepping control method based on an interference observer. An anti-interference non-linear controller is designed according to a multi-source interference non-linear system. The command filtering backstepping control method comprises the following steps of firstly building a non-linear mathematical model of a multi-source interference system; secondly designing equivalence interference in an estimation system of the non-linear system interference observer; then substituting equivalence interference estimated values obtained from the non-linear system interference observer into a command filtering backstepping controller, building the command filtering backstepping controller; and finally using a pole allocation method to design command filtering backstepping controller gain and non-linear interference observer gain for guaranteeing a closed loop composite error system to asymptotically be stable. The command filtering backstepping control method is strong in anti-interference capability, and can be applied to anti-interference control for systems such as aircrafts, mechanical arms, biochemical processes and ships.

The invention discloses a population density estimation method based on the convolutional neural network. The method comprises the steps that S1) a training sample set is established; S2) a convolutional neural network model based on Mixed-Pooling is constructed; S3) the convolutional neural network model is trained, a random gradient descent method is used to carry out iteration training on the convolutional neural network model, the gradient and the value of a loss function are detected every time after iteration, optimal solutions weight values W and bias values b in the network structure are obtained, and an optimal convolutional neural network model of training is obtained after multiple times of iteration; and S4) the population densities of the convolutional neural network classified models, obtained in the step S3), about far and near subareas are estimated and detected, and the population density of the whole area is estimated according to a new detection and classification strategy. According to the invention, the problems including background interference and pedestrian shielding in a complex scene are overcome, and the population density of the scene is estimated accurately.

The invention relates to a tourism service system. The system at least comprises a service central system (1), an enterprise terminal (2), a wireless mobile terminal (3), a fixed service terminal (4), an internet (5), a satellite (6) and a position signal emitter (7), and can carry out tour service, intelligent query analysis and shopping and amusement, book ticket and order food, exchange and interact, carry out tourist management and checking-in, publish, update and maintain information, and plan the tourism scheme, and the like. The system integrates the wireless mobile terminal carried by people in daily and can be used for exhibition halls with dense underground landscapes and narration points, provides the all-round service for tourists, guides, companies, and the like, enhances the real-time property, high efficiency, personality, initiativeness and intelligence of the tourism service and creates wider exchange platform for uses, thereby being capable of finding the persons with the same interests, needs and benefits. The information system or terminal which integrates tourists, tourism enterprises, banks, tourism administrations and insurance companies, and the like widens the range of the tourism service.

The present invention relates to a laser differential confocal tomography focusing method and device, and relates to the technical field of optical imaging and detection. The method uses a rear pupilto block half of a measurement beam, uses a spectroscopic differential confocal detection system to detect the unblocked measurement beam, and uses an absolute zero point of a differential confocal response curve to achieve high precision tomographic focusing. The method organically combines a laser differential confocal technique and a ray tracing technique to establish a ray tracing and compensation model to eliminate influence among each fixed focal surface parameters, and achieves fast trigger of focus through data near a linearly fitting absolute zero point. The method can obtain the differential confocal response curve by using only one detector, and realizes the tomographic focusing through the absolute zero point of the differential confocal response curve, greatly simplifies system structure, in the same time, avoids error introduced by adjustment inaccuracy, and greatly improves precision of focusing. The method will provide a new technical approach to the field of confocal imaging / detection.

The invention discloses an engine fault prediction method. The method comprises the following steps that effective measurement data of a plurality of sensors of an engine are obtained; the effective measurement data are subjected to normalization processing; the effective measurement data obtained after normalization processing are sliced, and a plurality of slice samples are formed; the multiple slice samples are sent into a deep nerve network to be subjected to feature extraction, and after feature extraction, the slice samples are connected to a fully-connected network; and according to output of the fully-connected network, classification is conducted through a softmax classifier, and the left service life of the engine is determined. According to the provided engine fault prediction method, the process is small, operation is easy, and the engine fault prediction method can be widely applied to various engines of aircraft.

The invention discloses a spherical hinge capable of realizing the rotation angle measurement and a measurement method of the rotation angle. The spherical hinge is characterized in that a ball seat provided with a ball socket therein is formed by a base and an end closure, a ball head is placed in the ball socket, a spherical crown is exposed at an opening of the end closure, and the top surface of the spherical crown of the ball head is connected to a ball-jointed rod; the ball head and the ball socket are concentric, and the ball head can concentrically rotate relatively to the ball socket; permanent magnets are embedded and uniformly distributed on the surface of a low half ball of the ball head; magnetic effect sensors are embedded and uniformly distributed on the surface of the ball socket; sensing output signals of the magnetic effect sensors are used for judging the relative location between the ball head and the ball socket and the direction of the relative movement. The spherical hinge can be used for realizing the three-dimensional angle measurement under the condition of having no influence on the movement accuracy and the mechanical property of ball joints and no damage on the structures of the ball joints.

An under-shaft radio positioning system of Bluetooth is prepared for fixing a numbers of Bluetooth base stations in mine shaft and connecting these Bluetooth base stations to each other by cable or radio network, applying existed module with Bluetooth chip as Bluetooth mobile station being radio-connected with Bluetooth base station and connecting Bluetooth base station to monitor host by cable network.

The invention discloses a robust neural network control system for a micro-electro-mechanical system (MEMS) gyroscope based on sliding mode compensation and a control method of the control system. The control system comprises a given trajectory generation module, a sliding mode surface definition module, a neural network controller, a weight adaptive mechanism module, a sliding mode compensator, an MEMS gyroscope system, a proportional-differential control module, a first adder and a second adder. The control method of the control system comprises the following steps of: establishing an MEMS gyroscope kinetic model based on a sliding mode surface, designing a controller structure, and designing an updating algorithm of a radial basis function (RBF) network weight, so that the trajectory of the MEMS gyroscope is tacked. By the control method, the influence of the unknown dynamic characteristic of the MEMS gyroscope and noise interference can be compensated on line, the vibration trajectory of the MEMS gyroscope completely follows a reference trajectory, and the anti-interference robustness and reliability of the system are improved; the updating algorithm of the network weight is designed on the basis of a Lyapunov stability theory, so that the stability of a closed-loop system is ensured; and a powerful basis is provided for expanding the application range of the MEMS gyroscope.

The invention provides an intelligent dynamic combustion atmosphere controller, comprising a combustible matter content detector, a residual oxygen amount analyzer, a smoke temperature detector, a PLC (pogrammable logic controller), and a touch screen, wherein an input end of the PLC is connected with the combustible matter content detector, the residual oxygen amount analyzer and the smoke temperature detector; an output end of the PLC is connected with an air flow adjusting valve; combustible matter content, residual oxygen amount and smoke temperature signals, which are collected in smoke in real time, are sent to the PLC; the PLC prompts a combustion atmosphere state by calculating, comparing and analyzing according to set parameters, and controls the air flow adjusting valve to automatically adjust an air-fuel ratio, so as to accurately control combustion atmosphere; and a combustion type, a control mode, a control parameter and an alarming parameter can be set through the touch screen. The intelligent dynamic combustion atmosphere controller has the advantages as follows: the combustible matter content, the residual oxygen amount and the smoke temperature in the smoke in combustion equipment, such as a heating furnace, a boiler and the like, are measured and analyzed, so that the flow of the combustion air is intelligently adjusted; the air-fuel ratio can be automatically adjusted in real time; and the combustion atmosphere can be accurately controlled.

The invention discloses an LCL-type single-phase grid-connected inverter power control and active damping optimization method. An equivalent synchronous coordinate PI controller is adopted, a two-phase virtual orthogonal system is constructed by adopting an all-pass filter, the problem that data used in previous construction methods have asynchrony or noise interference is introduced is solved, regulation of grid-connected currents at fundamental frequency in a zero steady state error is achieved, and the stability of the system is improved. According to the LCL-type single-phase grid-connected inverter power control and active damping optimization method, the primary differential and the high-frequency components of the grid-connected currents are fed back in real time, the damping of the system is increased, the resonance peak of the LCL filter is restrained, an optimized parameter selection method is given, single-current feedback factors are reduced to a variable, the defect that parameters are difficult to select in single current high-frequency component feedback is overcome, and the reliability and the dynamic nature of the system are improved.

The invention discloses a method for controlling aeration in a biochemical reaction tank in real time. The method comprises the following steps of: arranging a monitor at a water inlet end of the reaction tank, in the tank, at a water outlet end and at a sludge reflux port of a sedimentation tank; transmitting water quality and water quantity data acquired by the monitor to a central control system through a PLC (Programmable Logic Controller); calculating oxygen demand, a dissolved oxygen target value and sludge reflux quantity of the biochemical reaction tank by a real-time biochemical reaction model module in the central control system according to the water quality and water quantity data; converting the oxygen demand of the biochemical reaction tank into air supply by an intelligent conversion module; calculating air valve opening and fan pressure data of the reaction tank by an air supply pipe network aerodynamic model module according to the air supply; transmitting the sludge reflux quantity, the air valve opening and the fan pressure data to an executing mechanism by the central control system; and controlling opening and closing of a valve, a fan and a reflux pump by theexecuting mechanism. By applying the method, real-time on-line control over the aeration of the biochemical reaction tank is realized.

This invention provides a contact type optical fiber grating displacement sensor, which contains support, protective steel pipe, spring and optical fiber grating strain sensor constructed of double steel pipe assembly structure, wherein the optical fiber grating packaged in 0.5mm steel pipe by epoxy resin and forming the optical fiber grating strain sensor with two 1.2mm steel pipe. Said invention has advantages of overcoming the shortage of current sensor of easy interfered by electromagnet and poor stability.

The invention provides a seismic diffracted wave separating and imaging method and belongs to the field of imaging processing and fracture-cave reservoir prediction in geophysical exploration of petroleum. According to the method, diffracted waves are separated from an original seismic record according to the difference between reflected waves and diffracted waves, and the separated diffracted waves are imaged independently. Diffracted wave information obtained through the method provided by the invention is complete, the diffracted wave imaging result has relatively high lateral resolution, and meanwhile, the result of independent imaging of the diffracted waves eliminates an interference effect on the diffracted waves caused by reflected waves, directly reflects the location information of a fracture-cave reservoir body and is conducive to improving the accuracy of identification of the fracture-cave reservoir body.

A knife sharpener is provided which is capable of precision sharpening of hunting and similar knives that have a first and second blade face, each of which terminates at a facet that meets the corresponding facet to create the knife edge. At least the first of the blade faces has a lower distinct planar or concave section adjacent the edge facet with the lower planar or concave section of the face being set at an angle to the center line of the blade thickness that is different from the angle of the adjoining upper section of the same blade face located adjacent to the back of the blade. The sharpener includes a sharpening member such as one having an abrasive coated surface. The sharpener also includes a planar angle knife guide surface of a knife guide which is designed for intimate sliding and sustaining contact with the second face of the blade in order to position an edge facet on the first of the faces into precise angular relation with the sharpening surface. The sharpener also includes a knife holding spring that applies force against the first face of the blade predominantly at one or more locations on the lower planar or concave section of the first face that is adjacent to the edge facet being sharpened in order that the lower section adjacent the edge on the second face of the blade is pressured to align with and remain in intimate sliding alignment with the guide surface as the blade edge facet on the first face is being sharpened.

The invention discloses a flexible direct-current power distribution network monopole fault line selection and section positioning method and system. The method comprises the steps that positive and negative currents of each feeder line of a direct-current power distribution line are collected and filtered; current sudden change data in a data window is extracted, S-transform is carried out on thedata to obtain a complex time-frequency S matrix of current signals; a characteristic frequency band is calculated according to line parameters; STCFB and W are calculated according to the complex time-frequency S matrix; a monopole fault line selection criterion and a section positioning criterion of the direct-current power distribution feeder lines are established, and fault feeder line identification is carried out on the basis of current sudden change Pearson correlation coefficients according to the line selection criterion; if the line is a faulty feeder line, the transient energy sumsof positive current and negative current sudden change characteristic frequency bands are compared for fault pole judgment; if the line is a faulty polar line, fault feeder line identification is carried out by using current sudden change correlation between the left side and the right side of each feeder line section. The method is not affected by factors such as transition resistance, data asynchronization and fault positions, and is rapid, sensitive and reliable.

The invention discloses a micro-gyroscope RBF (Radial Basis Function) network self-adapting control method based on model global approximation. According to the control method, based on a tracking error deign after filtering, a controller comprises a proportion differential item and an RBF neural network item. The RBF neural network item is approximated to an unknown function of a micro-gyroscope system and an updating algorithm based on a weight guarantees the global stability of the system based on a Lyapunov stability theory design. A robust item is added into the updating algorithm to guarantee the boundedness of control input; and the proportion differential item finally maintains a tracking error in any small range. The control method disclosed by the invention can realize high-precision tracking control on the micro-gyroscope system under the condition of no need of knowing about the structure or non-structure parameters of a micro-gyroscope, and in the presence of external interferences; and meanwhile, the robustness and the reliability of the system are improved.

The invention discloses a multi-index fusion-based driver fatigue detection method. The method comprises the steps of firstly, acquiring a face image of a driver in a normal state to carry out human face positioning, selecting a first face feature point, and determining a driver eye fatigue judgment threshold value through the first face feature point; acquiring a face image of the driver in a driving state, carrying out human face positioning, selecting a second face feature point, and calculating an eye fatigue index, a mouth fatigue index and a head posture fatigue index of the driver; andin combination with the eye fatigue index, the mouth fatigue index and the head posture fatigue index, judging whether the driver is in fatigue driving or not. According to the method, various physiological characteristics of a person in a fatigue state are comprehensively considered, and the fatigue state of the driver is detected in a multi-index fusion mode, so that the fatigue state of the driver can be detected more accurately, and the problems of easy disturbance and low identification accuracy of a traditional single-index detection method are effectively solved.

The new type nodal real-time gas densitymonitoring method and sensor has one near infrared DFB semiconductor laser and operates on the characteristic absorption of methane in the near infrared spectrum region. One monomode fiber power coupler is used in separating the laser beam into several beams led through fibers to fiber gas absorption cells in mine, and the laser beams through the absorbed gas are then led through fiber to the input optical switch. The selected signal through the calibrating cell is projected to the laser detector. By means of wavelength modulating technology and second harmonic detecting technology, the present invention realizes gas density measurement in high sensitivity, high resolution, no gas interference and fast response. Background light strength signal fitting method is adopted to eliminate the influence of light strength fluctuation on the measurement.

The invention relates to a multi-system digital optical fiber category 5 cable distribution system which is characterized by being composed of a near-end access unit part, an expansion unit part and a far-end cover unit part. The near-end access unit part, the expansion unit part and the far-end cover unit part form an up link and a down link of the system. The multi-system digital optical fiber category 5 cable distribution system is high in integration level. Low-noise circuits, frequency conversion circuits and amplifying circuits of the near-end access unit part, the expansion unit part, the far-end cover unit part and the like are all in an integration module design thought, and therefore the multi-system digital optical fiber category 5 cable distribution system is smaller in size, stronger in reliability and more beneficial for installation and use of practical projects.

The invention provides a control system, valve base control equipment and a submodule integration method. Valve base control equipment consists of two symmetric screen cabinets, wherein each screen cabinet is provided with a power supply unit, a current control unit and a bridge arm control unit; and controllers of the valve base control equipment, a control system and a submodule are connected with one another through optical fibers. All communication interfaces are in a CRC (Cyclic Redundancy Check) check based optical fiber serial communication mode of a reverse Manchester encoding form, so that data throughput is greatly increased, system control time delay is reduced, and real-time control and protection functions of a modularized multi-level flexible direct current valve can be finished. In the method, a hardware structure of the current control unit and the bridge arm control unit is adopted, so that system-level current balance control and valve-level capacitive voltage balance control are clearly divided, and the requirements for modularized multi-level real-time control are met.

The invention provides a method for recognizing slag variety by combining with a laser-induced breakdown spectroscopy (LIBS) analysis technology based on a least squares support vector machine. The method comprises the following steps: optimizing the least squares support vector machine parameter (radical basis kernel function-gamma and rho2) by adopting grid global optimization and half-off cross validation; building a least squares support vector machine classification model; and realizing reorganization of the slag variety by combining the classification model with the LIBS technology. A research shows that a least squares support vector machine modeling approach has a good prediction effect; a novel modeling method is provided for mode recognition of the LIBS technology; and the method can be applied to recognition, recovery and reutilization of metallurgical waste materials.

A knife sharpener is provided which is capable of precision sharpening of hunting and similar knives that have a first and second blade face, each of which terminates at a facet that meets the corresponding facet to create the knife edge. At least the first of the blade faces has a lower distinct planar or concave section adjacent the edge facet with the lower planar or concave section of the face being set at an angle to the center line of the blade thickness that is different from the angle of the adjoining upper section of the same blade face located adjacent to the back of the blade. The sharpener includes a sharpening member such as one having an abrasive coated surface. The sharpener also includes a planar angle knife guide surface of a knife guide which is designed for intimate sliding and sustaining contact with the second face of the blade in order to position an edge facet on the first of the faces into precise angular relation with the sharpening surface. The sharpener also includes a knife holding spring that applies force against the first face of the blade predominantly at one or more locations on the lower planar or concave section of the first face that is adjacent to the edge facet being sharpened in order that the lower section adjacent the edge on the second face of the blade is pressured to align with and remain in intimate sliding alignment with the guide surface as the blade edge facet on the first face is being sharpened.

The invention belongs to the field of geophysical exploration and provides a method. Real-time acquisition of multiview stereo images can be realized by using fewer cameras. The invention provides a nanosecond acquisition board which can effectively suppress interference and has high integration level. The invention provides a multichannel seismic signal acquisition device with high synchronization accuracy. The device comprises a preamplifier and an analog-digital converter, wherein the signal detected by each sensor is transmitted to a channel of each analog-digital conversion chip after passing through the preamplifier, a multicircuit switch, a gain control circuit and a signal conditioning circuit respectively; and the data output by the analog-digital conversion chips are transmittedto a data receiving and retransmitting device by a data preprocessor. The device also comprises a gain control module, a self-check control module, a command decoder, a synchronous clock receiver andthe data receiving and retransmitting device. The device is mainly applied to geophysical exploration.