135results about How to "Response in real time" patented technology

A voice controlled voice-messaging systems permits manipulation of voice messages over the telephone without the need for keypressed commands. Manipulation includes playback of messages, deletion of messages, saving messages, and sending a new message to a recipient from a user-defined list. Access to the messaging system is by spoken password. Voice input also allows the following functions: enrollment of a spoken password; granting or refusing user access to the system based on verification of the user speaking a password; recognition of spoken utterances of "yes" and "no" in response to prompts by the VMS; recognition of "stop" to interrupt and stop a voice message during playback; enrollment of a spoken personal directory of names of potential message recipients; and recognition of names in the spoken personal directory. The invention uses speaker verification, speaker-independent recognition (SIR) of "yes/no", speaker-independent recognition of "stop" during message playback, and speaker-dependent recognition (SDR) of a limited vocabulary of short phrases such as a list of message recipients' names.

The invention provides a microphone array voice enhancement device with a sound source direction tracking function and a method for the microphone array voice enhancement device. The microphone array voice enhancement device relates to voice signal processing. A microphone array, an adjustable parallel beam former group module, a fixed parameter FIR (Finite Impulse Response) filter module, a fixed parameter signal blocking module, an adaptive noise canceller module and a sound source direction update module are aranged in the devide. The method comprises the following steps of: initializing, forming an adjustable beam, fixing parameter filtering, blocking a signal, carrying out adaptive noise cancelling, and updating a sound source direction. The invention provides an adjustable parallel beam former group combined with a sidelobe canceller structure to achieve real-time tracking of a target sound source direction, embeds the sound source direction tracking function directly to a generalized sidelobe canceller structure, can achieve sound source direction tracking and voice enhancement, thereby overcoming sensibility of an algorithm performance on a DOA (Direction of Arrival) estimation error.

The invention discloses a shortest path induction method based on real road network features and dynamic travel time. The method includes the steps that firstly, the real road network features are taken into account, and a road network abstract graph is obtained based on intersection turning restriction information and link traffic flow direction maldistribution; secondly, the dynamic travel time of a road section is predicted by regarding real-time travel time and historical travel time as factors, and road section traffic impedance is calculated and serves as road section weight of an abstract road network according to the predicted dynamic travel time; finally, the real-time shortest path is obtained through the shortest path search algorithm. The method overcomes the defects that an existing road network abstract model can not reflect the real road network features (the intersection turning restriction information and the link traffic flow direction maldistribution) and an existing shortest path induction method based on static traffic information can not respond to accidental, random and dynamic traffic events (such as traffic jams, temporary control and traffic accidents) in time and the other defects, and the induction path obtained through the method is better in real-time performance, more accurate and more effective.

The invention provides a microphone array sound source spatial real-time location method. A microphone array is used as a signal acquisition and output device. Sound source spatial candidate positions are preliminarily given through the use of a controllable power response-phase transformation method. Preliminary candidate filtering is carried out through prior knowledge. The controllable power response-phase transformation method is used to calculate the controllable power response output of the candidates. A search boundary is re-determined through improved random region shrinkage. The efficiency of the controllable power response-phase transformation method is improved. Finally, the controllable power response of the remaining candidates is calculated. The maximum position is selected as the final sound source estimation position. According to the invention, the method has the advantages of clear sound source positioning principle and good real-time performance; experiments show that the plane positioning error range of the method can be controlled on the order of centimeter; the performance is superior to the performance of methods in the prior art; the method has high operation speed and robustness, and can be applied to intelligent home, intelligent robots and other scenes which need real-time sound source localization.

The invention provides a real-time calibration method and a real-time calibration device for multi-channel transmitter radio frequency response, which relate to the technical field of wireless communication. The method includes that initial testing signals generated by a multi-channel transmitter are modulated into m-branch testing signals; the m-branch testing signals correspond to m transmitting radio frequency channels of the multi-channel transmitter respectively; transmitting radio frequency response signals of corresponding transmitting radio frequency channels are obtained at each connection position of each transmitting radio frequency channel and a transmitting antenna by using receiving channels; testing signals received by each transmitting radio frequency channel and transmitting radio frequency response signals of each transmitting radio frequency channel are used to conduct deconvolution operation and obtain response of each transmitting radio frequency channel; and compensation calibration is conducted on the transmitting radio frequency response of each transmitting radio frequency channel by using the obtained response of each transmitting radio frequency channel. The real-time calibration method and the real-time calibration device can achieve obtaining of the response of each transmitting radio frequency channel only in the multi-channel transmitter and can calibrate the transmitting radio frequency response in various application situations in real time and conveniently during actual application.

The disclosed one-way primary control device with dual CPU comprises: a primary CPU connected the secondary CPU by e-mail and high-speed channel, an e-mail device to provide interrupt-level fast communication, and a high-speed channel to transfer information between dual CPU. This invention realizes large-capacity communication and fast process for emergent affairs.

The invention provides a valve control type semi-active oscillating damper. The valve control type semi-active oscillating damper comprises an oil cylinder component and an extra-cylinder component which is positioned on the outer side of the oil cylinder component, wherein the oil cylinder component comprises a guide bearing, an oil cylinder and a bottom valve seat which are fixedly connected with one another in turn; an oil storage tank is arranged outside the oil cylinder, and a piston and a piston rod are arranged in the oil cylinder; the extra-cylinder component comprises a first switching valve, a second switching valve, a two-position three-way valve, a proportional overflow valve, a throttling valve, a throttling overflow valve, a body acceleration sensor and a controller; the body acceleration sensor is used for detecting the acceleration of a body, outputting a signal and transmitting the signal to the controller; and the controller is used for controlling the energization and de-energization states of the first switching valve, the second switching valve and the two-position three-way valve, and controlling the current intensity of the proportional overflow valve at the same time. The valve control type semi-active oscillating damper is simple in structure, can make real-time responses and provide a continuously adjustable damping force according to the state of a train during operation, and can be simply and reliably controlled.

The invention relates to an intelligent power grid safety technology, in particular to an error data injection attack robustness detection method based on state estimation deviation. The method comprises four steps of static weighted least square state estimation, dynamic state estimation of an additionally introduced Kalman estimator, enhancement of dynamic estimation robustness and inspection ofestimation performance consistency. According to the method, the concealment characteristic of the error data injection attack in the smart power grid is comprehensively considered, based on an original static state estimator based on weighted least squares, and according to the characteristic that an additionally introduced Kalman estimator has a transfer characteristic for a historical state ofa system and an exponential weight function can be adaptively changed according to attack intensity, the deviation of the estimated performances of the two estimators is used as an index for measuring the detection performance, so that the effective detection of the error data injection attack with the hidden characteristic in the intelligent power grid is realized.

The invention relates to a four-degree-of-freedom inspection mechanical arm and a control system and a control method thereof. The inspection mechanical arm is mounted at the top end of a load centralframework, and comprises an image acquisition device, a telescopic arm, a first rotating joint, a second rotating joint and a linear driving arm, wherein the telescopic arm is horizontally arranged,one end of the telescopic arm is connected to the top end of the load central framework in a rotating manner through the first rotating joint, and the other end of the telescopic arm is in vertical rotating connection with the upper end of the linear driving arm through the second rotating joint; and the image acquisition device is connected to the linear driving arm in a sliding manner and is driven by the linear driving arm to move upwards and downwards. The four-degree-of-freedom inspection mechanical arm and the control system and the control method thereof, provided by the invention, havethe advantages that circumferential rotating and linear running are combined together, so that the inspection mechanical arm can realize non-dead-corner inspection movement in space, can rapidly andaccurately arrive at a preset position in the working range and can be stably kept at the target position; and then, photographing or video recording is carried out by the image acquisition device carried at the bottom end.

The invention discloses a travel time real-time prediction method facing license plate data identification and a device. The travel time real-time prediction method comprises three steps of exploration of prior rules, practical measurement and calculation of travel time and prediction calculation of travel time. The invention overcomes the problem that the data scale and effectiveness are limited, the prediction calculation respond is delayed and the accuracy is not high. The method based on the license plate identification data and the device reduce the calculation respond time , improve the prediction accuracy, can be realized in an Apache Storm and Hadoop MapReduce cluster environment, finish travel time prediction in the real-time data environment, and can be used for the road state monitoring and travel service publication in the traffic field. The invention greatly improves the instantaneity and reliability of smart traffic application in the big data environment, provides the traffic big data information to the user for real-time inquiry and prediction, and improves the user experience.

The invention discloses a highway bad weather control information system including a plurality of mobile terminal APPs used for reporting bad weather events and coordinate positions to a highway bad weather event monitoring platform after bad weather is found on the highway; the highway bad weather event monitoring platform used for monitoring the bad weather on the highway and having the functions of uploading, positioning, and data updating; and a provincial highway scheduling command center used for scheduling the whole system based on the weather information monitored by the highway bad weather event monitoring platform and the data reported by the mobile terminal APPs in real time. The system can assist the provincial highway scheduling command center to realize the provincial highway unified management, the real-time monitoring of bad weather, and efficient multi-team linkage control.

The invention discloses a near-infrared-based multi-band physiological signal feedback system and a using method thereof. The system comprises a physiological signal acquisition module used for acquiring cerebral blood oxygen signals of cerebral cortex of a subject in real time; a data preprocessing module which is used for preprocessing the original data acquired by near infrared spectrum equipment in real time so as to remove noise components in the signals; a multi-band analysis module which is used for extracting multi-band physiological signal intensity index parameters from the preprocessed cerebral blood oxygen signals; a physiological signal feedback module which is used for performing real-time data visualization processing on the intensity index parameters extracted by the multi-band analysis module and feeding back the processed intensity index parameters to the subject; and a display module which is used for displaying the feedback process of the physiological signal feedback module. Based on the near infrared spectrum technology, the physiological activity and nerve activity of the brain in the specific frequency band are adjusted through a five-frequency-band physiological signal feedback method, and the brain dysfunction patient is helped to be trained and rehabilitated better.

The invention relates to the technical field of wireless communication, discloses a reflector-assisted cell-free large-scale MIMO network intelligent joint beamforming method, and solves the problems in the prior art that the optimization design complexity is relatively high, the calculation consumption is relatively large, and real-time optimization solution is difficult to carry out according to the change of an environment channel state. According to the method, based on a deep reinforcement learning method, optimization design of a beamforming vector of a base station and a reflection coefficient matrix of an intelligent reflection surface is carried out according to global channel state information observed in an environment. According to the deep reinforcement learning algorithm designed by the invention, the sum rate of users in the system can be greatly improved, and once the deep neural network after training convergence is obtained, time for optimization solution and computing resource overhead do not exist any more, and rapid and real-time response can be made to the change of the channel state in the environment.

The embodiment of the invention provides a public opinion hotspot keyword acquisition method. A public opinion hotspot real-time acquisition method based on community division is characterized in that similarity community division is realized by constructing a user similarity relational graph, similarity user representatives are found, overhead for processing large amount of redundant information is reduced, and data explosion is avoided. The embodiment of the invention also provides a public opinion hotspot keyword acquisition device. By adopting the technical scheme provided by the embodiment of the invention, public opinion security incident can be responded in real time, and public opinion security incident response speed is improved.

The invention relates to a sewage discharge automatic monitoring and early warning method and device and computer equipment. The method comprises the steps: obtaining the water inlet amount of a monitoring object at a water inlet and the sewage discharge amount of a sewage discharge outlet within a plurality of preset time lengths; acquiring preset water consumption and overflow leakage of the monitored object within the preset time duration; according to the water inlet amount and the sewage discharge amount within each preset time duration and the water consumption amount and the overflow amount, judging whether the monitored object meets the water inlet and outlet balance condition within each preset time duration or not; and when one or more continuous preset time durations are judgednot to meet the water inlet and outlet balance condition, triggering sewage secret discharge early warning information. By adopting the method, sewage secret discharge early warning can be automatically realized, real-time quick response to sewage discharge is facilitated, and automatic alarm of sewage discharge is realized.

The invention discloses an integrated particle type immobilized enzyme biosensor and a preparation method and application thereof. According to the integrated particle type immobilized enzyme biosensor and preparation method and application thereof, Hdetzs, cuprous ions and enzymes are used to react under mild conditions, and construct an integrated immobilized enzyme biosensor Enzyme@MAF-2 with optical oxygen sensing performance and efficient enzymatic catalytic activity. The sensor has the advantages that the immobilized enzyme is high in stability, good in selectivity and reusability. Moreover, the integrated sensing form can directly respond to substrates without adding other auxiliary reagents, greatly simplifying the detection step and reducing the detection cost. The integrated particle type immobilized enzyme biosensor is the first integrated biosensor that uses MOFs with optical sensing performance as immobilized enzyme carriers.

The invention discloses a computerized flat knitting machine needle selection control system and method. The computerized flat knitting machine needle selection control system comprises a mater control plate and a machine head control plate arranged on a machine head. The master control plate is in communication connection with the machine head control plate and is used for collecting real-time position information of a master motor, obtaining control data through pattern data analysis calculation and controlling movement of the master motor. The machine head control plate is used for collecting real-time position information of the master motor, obtaining needle selection data through pattern data analysis calculation and controlling movement of a needle selector. The machine head is driven by the master motor, and the needle selector is arranged on the machine head. The computerized flat knitting machine needle selection control system and method can achieve real-time and high-accuracy control on the needle selector.

A conveyor system for sorting objects is provided. The conveyor system includes a plurality of lanes arranged in series with one another, wherein each of the lanes is operable to convey and sort a plurality of objects therealong. The conveyor system also includes at least one peripheral device associated with at least one of the lanes that is operable to facilitate the conveying and sorting of the objects. The system also includes logic circuitry in communication with the at least one peripheral device, as well as at least one distribution device in communication with the logic circuitry and the at least one peripheral device. Each distribution device includes a plurality of ports for receiving respective cables therein, and at least one cable couples the logic circuitry and the distribution device and at least one cable couples each peripheral device and the distribution device, wherein each of the cables are coupled without hard wiring.

The invention discloses an intelligent body temperature management platform applied to a epidemic period, which comprises a central processing system, a personnel registration unit and a body temperature monitoring management system, and is characterized in that the body temperature monitoring management system is bidirectionally connected with the central processing system in a wireless manner, and comprises a signal receiving module; the invention relates to the technical field of body temperature monitoring and management. With the intelligent body temperature management platform applied tothe epidemic period, the body temperature of enterprise reworkers can be automatically and intelligently monitored in real time, contact is effectively reduced, and the possibility of cross infectionis reduced; an intelligent body temperature sticker has an automatic early warning function when high temperature occurs and body temperature is abnormal, and a unified intelligent management background is provided, so that the intelligent body temperature management platform enables monitoring management personnel to remotely and effectively master the body temperature dynamic state of specifiedcrowds and achieve real-time response and intervention, improves the supervision efficiency of grassroots management personnel, and can play an important role in the epidemic prevention work of communities, schools and individuals during the epidemic period.

The invention provides a load control system and method for an electric vehicle charging station, and the system comprises a power grid dispatching platform which is used for evaluating the load output which should be reduced in a target area in a target area according to the power utilization information and the line information, and enabling the load output to be a power grid demand; the transformer area intelligent fusion terminal is used for adjusting the load of the charging station in the target transformer area and monitoring the load of the charging station in the target transformer area; the charging station management platform is used for generating a user demand according to the charging user order and the service state information of the charging pile; and the charging station edge control terminal is used for summarizing the received power grid demand and user demand, generating power limit information of the charging pile, and carrying out power distribution according to the power limit information of the charging pile. The charging station edge control terminal is adopted as a summary decision of multi-party demands, the maximum power limit of the charging piles in the charging station is comprehensively obtained, and the charging station participates in real-time demand response of a power grid.

The invention discloses a light-field-imaging-based depth-of-field enhanced type virtual reality display method. According to the method, two imaging channels are used for imaging. The imaging processof each imaging channel is as follows: a plurality of point light sources irradiates a light field information display module formed by a display device and a lens array; a virtual four-dimensional light field image is formed in three-dimensional space; and then the virtual four-dimensional light field image information is magnified by using an ocular lens group. The display device is not at a doubled focal length of the lens array. Under irradiation of point light sources at different position, the display depths of the four-dimensional light field image are different to realize depth-of-field enhanced type light-field-imaging virtual reality display. In addition, the invention also provides a system for realizing the display method. Therefore, problems that the depth of field of the three-dimensional image is limited in the current virtual reality display system, the observer has a visual fatigue problem because of the conflict between focusing and convergence competition, the depthof field control mechanism is complicated, and the response speed is low and the like can be solved; and while the depth of field is increased, the real-time response is realized.

The invention discloses a device for self-adaptively cancelling a passive intermodulation signal, which is characterized in that one main path port of a coupler is connected with an antenna port of aduplexer, the other main path port of the coupler is connected with an antenna feeder assembly on an antenna link, and the coupling port of the coupler is electrically connected with a radio frequencyport of a canceller circuit; the input end of a passive intermodulation detection circuit is electrically connected with a duplexer receiving port, and the output end of the passive intermodulation detection circuit is electrically connected with the input end of the digital processing unit; the digital processing unit is electrically connected with the transmitting circuit unit through a transmitting signal frequency discrimination circuit. The output end of the digital processing unit is electrically connected with the input ends of the passive intermodulation detection circuit, the transmitting circuit unit and the canceller circuit, and the output end of the transmitting circuit unit is electrically connected with the input end of the duplexer. According to the invention, the passiveintermodulation signals generated by the wireless transceiver and other devices or components on the link from the antenna port of the device to the antenna can be counteracted, wherein the passive intermodulation signals fall into the receiving frequency band.

The invention discloses a unified information model, which relates to the technical field of enterprise management, can construct a 100% close-fitting service of software for a production management process, and improves the product quality and economic benefits of enterprises by perceiving, predicting and optimizing the production management process to form a closed loop. According to the specific scheme, the system comprises a system integration perception management and control layer, a knowledge learning layer and a big data mining layer; the system integration perception management and control layer comprises an analysis layer, a service layer, a platform layer, a data layer and/or a basic resource layer. The analysis layer comprises a sales analysis unit, a purchase analysis unit, a production analysis unit, a receivable and payable analysis unit, an inventory analysis unit, a mold analysis unit, a quality control analysis unit, an Internet of Things monitoring analysis unit and/or a unified analysis unit; a unified information model is adopted to construct a digital twinning body, all links of the production process are described and recognized in a unified mode in a digital space, and real-time response to changes of the links is achieved.

The invention discloses a power signal digital filtering method comprising the following steps: S1, acquiring a protection-level sampling value WS1, a sampling fluctuation limit value Wk, a sampling rated value W, a sampling fluctuation continuous over-limit number-of-times upper limit J1, a sampling continuous excess number-of-times upper limit J2, and a measurement-level sampling value WS2; S2, analyzing the protection-level sampling value WS1, counting sampling fluctuations and sample excesses based on parameters given in S1 to filter out accidental interference, and selecting the protection-level sampling value WS1 or the measurement-level sampling value WS2 as the current filtering sampling value according to the result of analysis; and S3, accumulating and averaging the filtering sampling values acquired in S2 to get an accumulative average, and taking the accumulative average as a measurement output value.