260 results about "Present moment" patented technology

The invention provides a dynamic load balancing method based on self-adapting prediction of network flow. The scheme includes: observing historical data regularity of network load flowing into a load balancing switch or a switching software in a certain time cycle; obtaining a parameter value of self-adapting algorithm in a prediction program to form a computing formula; then substituting load observation value at present moment into the formula to predict load value at the next moment; and distributing flow for a rear-end server at real time according to prediction value, thereby enabling the network load to be regulated in advance, avoiding lag effect, constantly keeping the network load in a comparatively balancing state, greatly strengthening self-adapting self-regulating capability of network to load, and being adaptable to networks with a certain time cycle regularity at occasions such as regular-period network backup and the like.

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.

The invention discloses an indoor wireless positioning method and an indoor wireless positioning device. The method comprises the following steps of: calibrating a coordinate and a direction on an electronic map, and recording the position of each beacon node; determining the position coordinates of a wireless positioning terminal at the present moment according to the orientation value which is acquired by the wireless positioning terminal via an electronic compass at the present moment and the positioning result of the last moment; compensating the acquired wireless signals according to the position coordinate and the position of each beacon node; and calculating to obtain the positioning result according to the value of the compensated wireless signals. By the scheme provided by the invention, the directional sensitivity of positioning result to the user movement can be reduced, the positioning error is effectively reduced, and the positioning precision is improved. Simultaneously, by the scheme provided by the embodiment of the invention, the positioning matching range can be reduced, the positioning time can be shortened, user experience can be improved, and the smoothness of dynamic real-time tracking under movement state is further improved.

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.

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.

The embodiment of the invention discloses an active following method and device, electronic equipment and a computer readable storage medium; the method comprises the following steps: obtaining firstposition information of a followed target at the present moment, and predicting a moving direction of the followed target according to a motion locus of the followed target, or, predicting the movingdirection of the followed target according to a motion locus of the followed target, and obtaining the first position information of the followed target at the present moment; determining the arrivalposition of the active following device at the next moment according to the first position information and the moving direction of the followed target. By using the method, the mobile intelligent device can identify the followed target from a side direction or the front direction, and can predict the route of the followed target, thus further planning the self following route; compared with the existing method that a luggage can only follow the owner, the active following method and device can solve the technical problems of the mobile intelligent device route planning, thus greatly improvingthe user experiences.

Systems and methods for traffic signal warning are provided. An example system allows using a camera mounted in front of a vehicle to continuously scan a space in front of the vehicle to detect impending traffic signals and show them on a display disposed at a back of the vehicle to inform other trailing vehicles about traffic conditions in front of the vehicle. The system may allow a driver of a trailing vehicle, for example, to see which traffic light is going to turn at the present moment, or whether there is a speed limitation on the upcoming road segment. The detected traffic signals may be displayed in several different ways, such as actual or simulated images, icons, a text, or a video, which are updated at predetermined intervals. Additionally, the system may comprise speakers to audibly communicate information about traffic conditions.

The invention discloses a maximum power tracking device for a solar cell of a miniature satellite power system and a control method thereof. The maximum power tracking device comprises a control unit and a plurality of power output units. The control unit adjusts the working mode of a corresponding DC-DC conversion module according to input voltage and output voltage collected by an information collection module in one power output unit, if the work is in a boosting mode or a step-down mode, the control unit carries out MPPT control according to the output power of the present moment and the last moment, and if the DC-DC conversion modules have failures, and corresponding failure mode modules are opened. According to the maximum power tracking device, based on one control unit, a plurality of the DC-DC conversion modules can be controlled in a centralized mode, the step-down mode, the boosting mode and the shoot-through mode of the DC-DC conversion modules can be achieved, the modes of the failure mode modules can be switched by the control unit when the DC-DC conversion modules have failures, and therefore connection from the input end to the output end can be guaranteed.

A communication terminal, a prompting method and a device are provided. The method includes: acquiring and storing travel related information, wherein the travel related information includes a predetermined destination location, and travel time corresponding to the predetermined destination location; when the present moment meets the preset time conditions, calculating the distance between the current location of the communication terminal and the predetermined destination location; and when the distance between the current location of the communication terminal and the predetermined destination location meets the preset distance condition, executing the prompting operation. The above method, device and communication terminal can timely and actively prompt the users at the right time and place, and does not cause interference to the user, so as to provide convenience for the users.

The invention provides a display device, a display method and a display terminal for an electronic program guide, wherein the display device comprises a channel list display module used for displaying a channel list at a channel list display area and a program information display module used for displaying program information of a program corresponding to the channel list at a program list display area; the program list display area comprises a program look-back area, a program live broadcast area and a program booking area; the program look-back area displays the program information of the program broadcast before the present moment; the program live broadcast area displays the program information of the program broadcast at the present moment; and the program booking area displays the program information of the program broadcast after the present moment. The display device can display look-back programs, live broadcast programs and bookable programs corresponding to a plurality of channels at the same time on an electronic program guide interface; moreover, the look-back programs can be directly previewed, so as to provide convenience and fastness for the diversifying selection of a user.

The invention discloses a real-time feedback method and a system of long voice continuous recognition and a recognition result. The method comprises the following steps: extension possibility from a sentence end point to an identification start point in an identification network is increased; in the process of decoding, when an identification path extends, the identification path can not only generate a single sentence, but also generate a plurality of continuous sentences, and large space video signals are separated through overall optimization of acoustics and linguistic probability; common parts of optimal history path of all active nodes are detected at fixed period, and identification word order which is fixed at the present moment is obtained; updated local identification result is fed back to a user in real time; and decoding space which is corresponding to identification parts and ensured is recycled. When the real-time feedback method and the system of the long voice continuous recognition and the recognition result are used, endpoint detection algorithm is not needed, continuous and sustainable identification of long voice signals are achieved, and human-computer interaction experience is obtained for users.

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.

A spindle condition detection device for a machine tool includes: bearing load detecting means for detecting a load on a bearing that rotatably supports a spindle of a machine tool; and present usage ratio calculating means for calculating, based on the load detected by the bearing load detecting means, a present usage ratio that is a ratio of usage of the bearing with respect to a prescribed operating life of the bearing, which is achieved over a period until a present moment.

The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

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.

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.

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.

The invention discloses a motor temperature protection method. Operating temperature of a motor at the present moment is obtained every other preset time, a permission parameter of the motor is obtained according to the operating temperature at the present moment, an operating parameter of the motor is controlled to be smaller than or equal to the permission parameter, therefore operating parameters of the motor can be adjusted at real time, adjustment can be achieved in time when the temperature of the motor is abnormal, the motor is protected from over-temperature, and meanwhile smooth output can be obtained. The invention further provides motor control equipment and a motor system.

The invention discloses an alternating-current charging pile and a charging control method. An electricity price time period of a point-in-time when a charging pile is charged is determined accordingto obtained real-time time information of a present moment, if the point-in-time during charging of the charging pile is located at a peak electricity price period, an energy storage module is selected to charge an electric vehicle to be charged or the electric vehicle to be charged is delayed to be charged at an off-peak electricity price period according to preset charging expectation duration of users, and an electricity peak period of the alternating-current charging pile is staggered with an electricity peak period of residents, so that the technical problem that load of public distribution network is aggravated caused by the fact that an electricity peak of existing personal charging piles is prone to overlapping with that of the residents is solved.

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.

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.

The invention discloses an outbound amount control method for a call center. The method comprises the following steps: counting the total outbound amount within a first preset time period before the present moment and the outbound time and talk time of each outbound; calculating the probability that the present outbound in an outbound state reduces one idle position after undergoing a second preset time period and the probability that the present outbound in a talk state adds one idle position after undergoing the second preset time period; forecasting the amount of idle positions after undergoing the second preset time period according to the probabilities; and controlling the outbound amount at the present moment according to the forecast amount of idle positions. The invention controlsthe outbound amount at the present moment according to the forecast amount of idle positions, thereby achieving the aim of reasonably distributing the idle positions.

The invention provides a yaw control method and device for wind turbine generators. The method includes the steps that when a wind transducer of one wind turbine generator breaks down, current operating data of one adjacent wind turbine generator adjacent to the breakdown wind turbine generator are extracted, and first wind information represented by the current operating data at the present moment is acquired; the historical operating data of the breakdown wind turbine generator at all the moments are extracted, and second wind information matched with the first wind information in the wind information represented by the historical operating data at all the moments is acquired; and yaw control is conducted on the breakdown wind turbine generator according to the second wind information. According to the technical scheme, when the wind transducer breaks down, the wind turbine generators can operate normally, and thus the utilization rate and the generating capacity of the wind turbine generators are effectively increased.

The invention discloses a method for estimating the SOC (State of Charge) of a lithium ion battery based on a gray extended Kalman filtering algorithm. The method comprises the steps of firstly predicting prior estimated values of polarization voltage and an SOC state variable of a battery model at the present moment through a gray prediction model and replacing a Jacobian matrix in the extended Kalman filtering algorithm, and then updating and correcting the prior estimated values through observed values by using the extended Kalman filtering algorithm so as to acquire an SOC estimated value of the lithium ion battery at the present moment. The invention provides a lithium ion battery SOC estimation method for an electric automobile battery management system, and the SOC estimation precision of the lithium ion battery can be improved.

The invention provides an image processing system including portable terminal. In the image processing system, a portable terminal (200) obtains positional information and orientation information of the portable terminal (200) and transmits these to an information processing apparatus (300). An image processing apparatus (100) generates information specifying a process executable by the apparatus itself at the present moment and transmits the generated information to the information processing apparatus (300). The information processing apparatus (300) stores positional information and functional information for specifying a process to be executed, for each image processing apparatus (100). Upon receiving the positional information and orientation information from the portable terminal (200), the information processing apparatus (300) transmits, to the portable terminal (200), the functional information executed by a specific image processing apparatus (100) associated with the received information.

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.

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.

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.

The invention relates to a method for predicting the temperature (Tin,p) of a wheel bearing (1) of a wheel of a vehicle for a future moment (t+[delta]tp) in relation to a present moment (t) or for a future time interval (t, t+[delta]tp) in relation to a present moment (t), on the basis of a course of the temperature (Tin) of the wheel bearing (1) in a past time interval (t-[delta]tb, t) in relation to the present moment (t), the predicted temperature (Tin,p) of the wheel bearing (1) being determined from the sum of the temperature (Tin) of the wheel bearing (1) at the present moment (t) and a corrective value ([delta]Tp) which is determined according to a change in at least one driving condition such as the speed ([delta]vtrain) and a change in the temperature ([delta]Tb) of the wheel bearing (1) within the past time interval (t-[delta]tb, t).

The present invention provides a method and a device for dispatching streams of a multicore processor. The method comprises the steps of: receiving the streams to be dispatched at the present moment; dispatching the streams to be dispatched at the present moment to each processing unit one by one through a polling way according to weight of the each processing unit of the multicore processor at a previous moment, wherein number of the streams dispatched to the processing unit with a higher weight is greater than the number of the streams dispatched to the processing unit with a lower weight, and the weight is used for identifying the flow that the each processing unit can process; and obtaining the updated weight of the each processing unit after the each processing unit receives the streams to be dispatched at the present moment, and taking the updated weight as the weight of the each processing unit of the multicore processor at the present moment. The device comprises a receiver, a dispetcher and an obtainer.