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259 results about "Present moment" patented technology

Intersection traffic flow characteristic analysis and vehicle moving prediction method based on trajectory data

The invention discloses an intersection traffic flow characteristic analysis and vehicle moving prediction method based on trajectory data, and belongs to the technical field of intelligent traffic system and traffic flow parameter acquisition. The method starts with space transient analysis of a vehicle original trajectory, and describes and analyzes trajectory local geometrical characteristics at different angles, forms a multilevel spectral clustering processing framework based on a vehicle original rough movement track, and automatically extracts and analyzes a plurality of traffic direction modes of an intersection included in the trajectory data. With the basis, the method can acquire intersection sub-phase (signal control intersection) traffic flow and travel time of vehicles in all directions passing through the intersection, and other detailed traffic characteristic parameters, as important complement of conventional traffic data. Through tracking travelling tracks of all moving vehicles at present moment, a traffic direction trajectory mode matching method is used to predict the next behavior of the vehicles, thereby being beneficial for warning safety risks which may exist on an intersection in real time.
Owner:中天思创信息技术(广东)有限公司

Driving vehicle collision early-warning method and device

The invention discloses a driving vehicle collision early-warning method and a driving vehicle collision early-warning device. The driving vehicle collision early-warning method comprises the steps of: acquiring position information and driving information of a local vehicle, and receiving position information and driving information broadcasted by a remote vehicle within a preset distance of the local vehicle; generating a local prediction driving trajectory of the local vehicle in a preset duration from the present moment according to the local position information and the local driving information; generating a remote prediction driving trajectory of the remote vehicle in a preset duration from the present moment according to the remote position information and the remote driving information; judging whether the local prediction driving trajectory and the remote prediction driving trajectory have a trajectory intersection point or not; and outputting preset collision early-warning information if the local prediction driving trajectory and the remote prediction driving trajectory has the trajectory intersection point. The driving vehicle collision early-warning method and the driving vehicle collision early-warning device provided by the invention have the advantages of being free from the limitation of the field of view in the process of acquiring the position information and the driving information, high in accuracy rate of acquired information, low in cost, capable of forming real-time effective early warning and improving the road traffic safety.
Owner:LAUNCH TECH CO LTD

SOC (state of charge) estimation method for controlling equivalent charging and discharging of lithium battery

InactiveCN108594135AHigh precisionRealize online statisticsElectrical testingObservational errorState parameter
The invention provides an SOC (state of charge) estimation method for controlling equivalent charging and discharging of a lithium battery. The SOC estimation method includes: establishing a first-order RC (resistor and capacitor) equivalent circuit model of a single lithium battery, and determining a state equation and an observation equation of a lithium battery system; determining a Kalman filtering discrete state space model, a state parameter variable and an observation parameter variable; updating an predicted value of the state parameter variable and a covariance matrix of measuring errors, and acquiring an innovation sequence according to an observed voltage value at the end of the lithium battery; introducing a self-adaptive fading factor to track and correct a predicted covariance matrix of the lithium battery system; calculating a Kalman filtering gain matrix of the discrete state space model, and updating the optimal estimated value and an error covariance matrix value at the present moment; acquiring a statistical property of process noise; acquiring an SOC estimation value at the present moment, and putting the parameters of the present moment in recursive iteration calculation of strong-tracking self-adaptive Kalman filtering for the next moment. By the aid of the SOC estimation method, real-time and precise estimation of SOC of the lithium battery is realized.
Owner:NANJING UNIV OF SCI & TECH

Wireless positioning method under visual distance and non-visual distance mixed environment

The invention relates to a wireless locating method which can be used for location with high degree of accuracy in a mixed environment of sight distance and non-line of sight. The method first sets up motion equations and observation equations of wireless location and then expresses state transition probability model of the non-line of sight and the sight distance, which can make use of rectified extended Kalman filter (EKF) to estimate the motion state and the non-line of sight state according to measured values obtained by every base station and then blends the motion state and the non-line of sight state together through the use of a data fusion method to get the estimation of the motion state at the present moment and at last on-line wireless device position solutions can be realized through loop iteration. The method of the invention can effectively solve the non-line of sight influence in wireless location so as to effectively improve the motion state estimation of wireless devices, which has robustness to LOS/NLOS transition probability in different environments. At the same time, the method is suitable for VLSI parallel processing, operand can meet real time requirements, and the method is suitable for different signal measuring methods such as TOA, RSS, etc.
Owner:JIANGSU UNIV

Multi-missile cooperative guidance method based on output consistency

The invention discloses a multi-missile cooperative guidance method based on output consistency. The method comprises the steps that constraint conditions of normal acceleration and field angles of all missiles are given; a linear model on which the missile status depends is built on the basis of a relative motion relationship of missiles and a target, convergence variables, line-of-sight angle rates and field angles of the linear model on which the missile status depends are selected as output variables, and a predictive control model is built according to a set prediction time domain; a performance index function is obtained on the basis of requirements of predictive control model and missile striking time cooperation; the performance index function and the constraint conditions are converted into a quadratic programming standard form; an optimal model achieving multi-missile cooperative guidance is obtained, normal acceleration of all the missiles on the present moment is obtained by means of a convex optimization method, and updated statuses of all the missiles are adopted on the next moment till all the missiles hit the target. According to the multi-missile cooperative guidance method based on the output consistency, optimal cooperative guidance on the condition that normal acceleration overload and field angles are limited can be achieved.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Transverse lateral curve flight-path tracking method based on curvature compensation

The invention discloses a transverse lateral curve flight-path tracking method based on curvature compensation and belongs to the technical field of flight-path tracking control. The transverse lateral curve flight-path tracking method based on curvature compensation comprises the following steps of: obtaining discrete flight-route point data of a reference flight path by a flight-path planning module; carrying out piecewise interpolation fitting processing on the obtained discrete flight-path point data by a Lagrange piecewise polynomial interpolation method to obtain a curve flight path; calculating the lateral offset distance of an unmanned plane at the present moment, and calculating a curvature value of a point, closest to the plane, on the reference flight path by referencing the coordinates of the point, closest to the plane, on the reference flight path; and completing the whole curve flight-path tracking process by using the obtained lateral offset distance and the curvature value as input variables of a transverse lateral controller of the unmanned plane. According to the transverse lateral curve flight-path tracking method disclosed by the invention, the curve interpolation fitting processing is carried out on the reference flight path, so that the transitional section of the flight path points in the tracking process is smoother and the tracking errors are smaller, therefore, the flight path can be tracked better.
Owner:BEIHANG UNIV

Indoor positioning method based on bluetooth position fingerprints

The invention relates to an indoor positioning method based on bluetooth position fingerprints. High-dimensional spatial spectral information and environmental information related to channel information are utilized, and steady spatial spectral fingerprints are extracted by utilizing principal component analysis and other means. The effect of resisting indoor multipath interference is enhanced in matching positioning, and positioning precision is enhanced. The fingerprints have better effect of resisting multipath interference under the indoor multipath environment, and the random variable is more stable. Fingerprint database updating is completed by periodic training data positioning error judgment. If the error is greater than a preset threshold value, dimension reduction processing is performed from an existing multidimensional spatial spectral fingerprint database and a few randomly acquired positioning fingerprints of the present moment by utilizing the principal component analysis method or a manifold learning method so that a fingerprint database of the present moment is obtained; and if the error is smaller than the preset threshold value, positioning is performed by using the previous fingerprint database. Therefore, repeated database establishment does not need to be performed at the positioning moment, and thus the burden of database establishment can be reduced to a great extent.
Owner:济南东朔微电子有限公司

Peak clipping method for multi-carrier frequency hopping communication system

The invention discloses a peak clipping method for a multi-carrier frequency hopping communication system, which is characterized by comprising the following real-time steps: (1) judging whether the signal bandwidth in the present moment is changed or not relative to the previous moment, if so, executing the step (3), otherwise, executing the step (2); (2) calculating a frequency difference of thepresent system signal and a center frequency point in the previous adjacent moment, carrying out frequency shift on a filter by the frequency difference so that the center frequency point is consistent with the present system signal and skipping to execute the step (4); (3) reconstructing the filter demanded by the digital bandwidth, the center frequency point and a spectrum template meeting thepresent system signal and executing the step (4); (4) constructing a peak clipping pulse, aligning to a peak value of the system signal by a peak value in response to a filter pulse and subtracting the peak clipping pulse by the system signal. The peak clipping method for the multi-carrier frequency hopping communication system can self-adaptively adjust the filter coefficient for constructing thepeak clipping pulse according to the carrier frequency point change of the system, thereby ensuring that the peak clipping effect is better than a traditional process.
Owner:COMBA TELECOM SYST CHINA LTD

Adaptive fuzzy neural network gear remaining life prediction method

The invention provides an improved adaptive fuzzy neural network gear remaining life prediction method, and belongs to the technical field of mechanical reliability. The method is characterized by comprising the following implementation steps: 1, gear degradation is monitored in real time by using a vibration sensor; 2, feature extraction of the gear fatigue state is performed, and degradation assessment is performed on the gear wear degradation performance; 3, the fuzzy system and the neural network are combined, the defects of the fuzzy control system are compensated by using the neural network self-learning mechanism and a fuzzy information fuzzy neural network is established; 4, the memory unit is added to all the nodes of the fuzzy processing layer, the information of the last momentis memorized and applied to the output of the present moment and the information is constantly saved, information forward and backward correlation is enhanced, the deviation between the prediction value and the actual value is reduced and the improved adaptive fuzzy neural network prediction system is established; and 5, the gear remaining life is predicted according to the trained improved adaptive fuzzy neural network. The advantages are that the gear degradation state and the real-time remaining life can be effectively predicted so as to provide the basis for gear preventive maintenance.
Owner:TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

City level parking inducing method, apparatus and electronic equipment

The invention relates to a city level parking inducing method, apparatus and electronic equipment. The method comprises the steps of translating and rotating the geographical coordinates of optional parking lots according to the traveling direction of a vehicle and the tolerable parking distance to obtain the relative coordinates of the optional parking lots with the vehicle as the origin, determining the quadrants of the optional parking lots in a coordinate system constructed with the vehicle as the origin and the vehicle running direction as the ordinate according to the relative coordinates of the optional parking lot and assigning different priority factors alpha to the optional parking lots with different quadrants, adding the product of the logarithmic curve after normalization of the distance from the optional parking lots to the vehicle at the present moment and the priority factors alpha to the product of the logarithmic curve of the parking rate of the optional parking lot and the adjustment factors beta to constitute parking lot evaluation functions, calculating the optional parking lots by using the parking lot evaluation functions to obtain the evaluation value of each optional parking lot, and taking the parking lot with the highest evaluated value as a recommended parking lot.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Unmanned surface vessel sailing monitoring system based on internet of things

InactiveCN104965502AEasy to receiveImprove the level of intelligent monitoringProgramme total factory controlNetwork terminationTime information
The invention relates to an unmanned surface vessel sailing monitoring system based on an internet of things. Vessel-mounted monitoring equipment utilizes a Zigbee wireless communication transmission module to transmit working state information of all parts of an unmanned surface vessel of present moment to the human-computer interaction interface of an unmanned surface vessel intelligent remote monitoring terminal in an ad-hoc network to be displayed. Besides, real-time state information of the unmanned surface vessel is transmitted to a cloud server via a GPRS / GSM module and an Internet module so that receiving of the real-time information anytime and anywhere is facilitated for a personal handheld mobile monitoring terminal and other network terminals. The control instructions transmitted by the handheld mobile monitoring terminal and the shore-based human-computer interaction interface are transmitted to an ARM central processor via the Zigbee wireless communication transmission module so as to drive corresponding sensors and vessel-mounted modules to change the working state of the unmanned surface vessel. The internet of things technology is applied and unmanned surface vessel remote information monitoring is realized by fully utilizing the internet technology, and remote control of the vessel-mounted equipment can also be realized so that intelligent monitoring level is greatly enhanced, and the system is simple, low in cost and easy to realize.
Owner:SHANGHAI MARITIME UNIVERSITY

Multi-transformer push-pull type photovoltaic inverter

A multi-transformer push-pull type photovoltaic inverter comprises a DSP, a DC / DC convertor, a DC / AC convertor and a filter, wherein the DC / DC convertor, the DC / AC convertor and the filter are sequentially connected, and a composite controller which is composed of a PI controller of the DC / AC convertor, an artificial neural network model and a feed-forward arithmetic unit is arranged in the DSP. The input end of the artificial neural network model is connected with the state variable of the DC / AC convertor in the kappath sampling period, a predicted value of the output voltage which is outputted by the artificial neural network model in the (kappa+1)th sampling period is connected with the negative input end of the feed-forward arithmetic unit, the positive input end of the feed-forward arithmetic unit is connected with a set value of voltage at the kappa moment, and an output signal of the feed-forward arithmetic unit is connected with an output signal of he PI controller and then controls the duty ratio of the DC / AC convertor. According to the multi-transformer push-pull type photovoltaic inverter, the output voltage of the inverter at the next moment is predicted through the neural network model, compensation for the duty ratio at the present moment is timely conducted through the feed-forward arithmetic unit, and therefore the hysteresis quality of the PI controller is overcome, and the robustness of the inverter system is improved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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