981results about How to "Realize adaptive adjustment" patented technology

The invention relates to mobile tracking of vehicle targets in the communication and transportation field. A self-adapting interactive multiple model mobile target tracking method comprises the following steps of establishing mixed initialized input. including a covariance matrix of a mixed initial condition and a mixed initial state. of each model; establishing constant velocity (CV) and constant acceleration (CA) motion models; updating: calculating covariance matrix and innovation of an error according to a Kalman filter formulation; constructing a likelihood function of a target motion module by utilizing the innovation of a Kalman filter result, and calculating a Markov state transition probability matrix; carrying out estimation output after being fused by utilizing the Markov state transition probability matrix as weight of switch among each motion model. According to the self-adapting interacting multiple model mobile target tracking method disclosed by the invention, the problem that the error is increased or the tracking is failed caused by non-matching of a filter model and a target motion model due to the motion of a target in the traditional interactive multiple model algorithm is solved; the self-adapting interacting multiple model mobile target tracking method has the advantages of low calculation complexity and good tracking effect, and can be applied to target tracking of motor vehicles in the communication and transportation field.

The invention discloses a self-adaptive tracking loop, which comprises an unscented Kalman filter (UKF), an observation noise variance matrix detection module, a fuzzy inference system, an unscented transformation (UT) scale factor regulation module, a state compensator, a carrier wave numerical controlled oscillator (NCO), scale factors, a code NCO, an integration and zero-clearing module, a code loop phase discriminator and a second order code loop filter, and additionally discloses an implementation method for the self-adaptive tracking loop. The implementation method comprises a step 1 ofsignal correlation, integration and zero clearing; a step 2 of code phase tracking; a step 3 of UKF modeling; a step 4 of observation noise variance matrix estimation; a step 5 of process noise variance matrix estimation; a step 6 of UT scale factor regulation; a step 7 of state estimation deviation compensation; and a step 8 of assistance of the carrier wave NCO in the code NCO. According to theself-adaptive tracking loop, the UKF, the observation noise variance matrix detection module and the fuzzy inference system are designed in the carrier tracking loop, so not only can a contradiction between thermal noise vibration in the tracking loop and a dynamic stress error be solved, but a process noise variance matrix and an observation noise variance matrix can be regulated in a self-adaptive manner according to changes of the external environment, and thereby the self-adaptive ability of the tracking loop under complex changeable environments of high dynamic, strong interference, and the like is effectively improved.

The invention discloses a method and a device for controlling a brake boost system. The method comprises the following steps: acquiring the atmospheric pressure of the current environment and a vacuum degree in a vacuum booster; determining the opening threshold value and the closing threshold value of a vacuum pump according to the atmospheric pressure; and opening the vacuum pump when the vacuum degree in the vacuum booster is less than the opening threshold value, and closing the vacuum pump when the vacuum degree in the vacuum booster is greater than the closing threshold value. The method and the device for controlling the brake boost system realize self-adaptive adjustment for the opening threshold value and the closing threshold value of the vacuum pump while ensuring that reliable and effective brake boost is provided for a driver, solve the problem of a too long working time and even continuous working of a vacuum pump in a high-attitude area, caused by a fixed threshold value, and effectively prolong the service lives of the vacuum pump and the brake boost system, and effectively improve the safety of the vacuum pump and the brake boost system.

The invention discloses a self-adaption absorptive clamping device of an airplane skin. The clamping device is characterized by comprising a frame, bent frames and self-adaption absorptive columns, wherein the upper and lower beams of the frame are provided with racks, and the two ends of each bent frame are arranged on the racks and can move along the racks; each bent frame is internally provided with a linear guide rail in a vertical direction, and each group of bent frames is provided with a certain amount of self-adaption adsorption columns and can move along the linear guide rail respectively; each adsorption column comprises a rotary vacuum chuck, a self-adaption telescopic link and a scale column. According to the clamping provided by the invention, the layout of the bent frames and the self-adaption absorptive columns can be adjusted by aiming at the shape of the skin, the absorption height can be adjusted by the scale columns and the self-adaption telescopic links, and the skin can be absorbed by the vacuum suckers; furthermore, the clamping device is applicable to clamping the skins of various shapes and sizes, the comprehensive cost can be reduced, the frock preparation period and production period can be shortened, and the production efficiency can be improved.

The invention discloses a moving camera stabilizer and a stability control method of the moving camera stabilizer. The moving camera stabilizer is mainly composed of a camera fixing support, a gyroscope sensor, an elevation motor, an elevation angle sensor, an elevation drive circuit, an elevation roll motor connecting rod, a roll motor, a roll angle sensor, a roll drive circuit, a fixing connecting rod, a button control circuit, a power supply circuit and a battery. The moving camera stabilizer and the stability control method of the moving camera stabilizer can achieve adaptive adjustment of the moving camera, so that the moving camera can be kept in the stable state no matter the stabilizer is held by hands or is fixed to a moving device, the viewing angles of images shot by the moving camera are kept relatively the same, and the obtained images meet the requirements of a user.

The invention relates to a three- shaft differential type pipe creeper, which is characterized in that the invention comprises three differential gears with same structure I, II, III, a transfer gear, three creeping wheel servomechanisms with same structure, a preloaded reducing mechanism, and a driving mechanism, the invention can connect with various pipe operation devices which are matched with the invention to proceed creeping operation along to the inner walls of the pipe, the creep speed of each creeping wheel is real-time regulated according to the self-attitude and pipe environment condition in order to realize self-regulation, and to avoid the phenomenon of motion interference which is generated at the moment that the current wheel type pipe creeper passes through the pipe or passes through the pipe whose inner physical dimension is changed, thereby increasing driving efficiency and traction ability, and reducing input power and the friction and abrasion of the a driving pair in the process of motion. The creeping wheel can realize the total main drive through a driving mechanism of a motor, and the invention has the advantages of simple structure, high driving efficiency, small power volume, low cost, long service life, spreading application range, etc.

The invention relates to the technical field of image super-resolution reconstruction, in particular to an image reconstruction system and method based on a cross residual channel-spatial attention network. The system comprises a shallow feature extraction module, a depth feature extraction module, an up-sampling module and a reconstruction layer. The input of the shallow feature extraction moduleis a low-resolution image, and the shallow feature extraction module is used for extracting shallow features; the depth feature extraction module comprises a frequency division module and a cross residual group, the input of the depth feature extraction module is the output of the shallow feature module, and the depth feature extraction module is used for extracting deep features; the input of the up-sampling module is a deep feature and is used for up-sampling; and the reconstruction layer is used for reconstructing features to obtain a high-resolution image. The reconstruction network provided by the invention has stronger feature expression capability and differentiated learning capability, and can reconstruct a high-quality high-resolution image.

The invention provides a page self-adaptive adjusting method and system. The method comprises the following steps: setting an initial style rule of a page under a benchmark resolution, wherein the initial style rule includes a style needing dynamic calculation; then obtaining the scaling of the width value and the height value of the page under the resolution of the current visible window; updating the style needing the dynamic calculation in the initial style rule according to the scaling. According to the method and system, the style needing the dynamic calculation is defined in the initial style rule, so that style needing the dynamic calculation in the initial style rule is simply updated according to the scaling of the width value and the height value of the page under the resolution of the current visible window in case of different visible window resolutions, and as a result, the self-adaptive adjusting of the page under different resolutions is realized, the coding of repeated code in the self-adaptive adjusting of the page can be greatly reduced, and the self-adaptive adjusting effect is great.

The invention discloses a method for extracting time-frequency parameters of power quality disturbance signals on the basis of fast K-S (Kaiser-S) transformation. The method includes steps of (1), sampling the tested samples; (2), performing the fast K-S transformation on the tested signals; (3), repeating executing the step (2) until amplitudes, phases and start-stop and sudden-change moments of all the disturbance signals are analyzed, and extracting the time-frequency parameters of the power quality disturbance signals. Compared with the prior art, the method has the advantages that Kaiser windows replace Gauss windows for traditional S transformation, widths and heights of Kaiser window functions can be adaptively adjusted along with change of frequencies, and the energy accumulation and frequency adaptive adjustment capacity of time-frequency analysis of the traditional S transformation can be improved; the computational complexity can be reduced by means of judging characteristic frequencies; the method is wide in application range, and the fast K-S transformation and the method for extracting the time-frequency parameters of the power quality disturbance signals have a wide application prospect in fields of vibration signal analysis, fault diagnosis, pattern recognition, noise measurement and biomedical examination.

A real-time stream media transmission method based on the video frame split includes the following steps: (1) the stream media server is controlled to explore the whole topological structure of the P2P equivalent internet and gain the whole information of receiver nodes in the equivalent internet; (2) the original video data is captured and compressed; (3) each split video frame is numbered in sequence, and a time-stamp and frame type mark is add to package; (4) the video frame is transmitted; (5) a receiver creates a time-limited buffer area to receive the video frame and saves the video frame in the buffer area in the sequence of the time-stamp; (6) the video frame in the time-limited buffer area is verified and adjusted; (7) the receiver decompresses and plays. And a system is formed by a real-time media transmission method. The invention can support a plurality of video compression method and make a fine particle size split on the base of video compression frame level, the video frame after splitting transmits independently in the topological structure of the P2P equivalent internet, and the video frame rate can be adjusted dynamically in net-speed.

The invention relates to a self-adaption quasi-PRD control method for a photovoltaic grid-connected inverter. The self-adaption quasi-PRD control method for the photovoltaic grid-connected inverter relates to the technical field of photovoltaic grid-connected inverter control, and aims to solve the problems that the existing photovoltaic grid-connected inverter has poor adaptability on power grid impedance change, and the stability of a photovoltaic grid-connected system is poor in a weak current grid. The method comprises the following steps of injecting disturbance current with specific frequency into a power grid through a disturbance current injection method; then obtaining a relational expression of current controller parameters and power grid impedance based on the principle of closed loop pole parameter configuration; when the power grid impedance Rg and power grid inductance Lg are changed, realizing self-adapting adjustment on controller parameters Kp, Kr and Kd so as to adapt to the ever-changing power grid impedance, so that the adaptability and the stability of the photovoltaic grid-connected inverter control system are improved. The self-adaption quasi-PRD control method for the photovoltaic grid-connected inverter can be used for controlling the photovoltaic grid-connected inverter.

The invention discloses a mobile self-adaption energy and information synchronization wireless transmission method which comprises the following steps: Step 1, an embedded MCU generates a combination frequency signal; Step 2, the combination frequency signal is coupled to a wireless strong coupling type bilateral matching receiving coil; Step 3, an optimal frequency estimation circuit estimates a resonance oscillation frequency point; when the frequency of a frequency synthesizer is stabilized, the Step 4 is carried out; Step 4, the embedded MCU generates an information sequence, and a frequency-selecting switch controls signal output; Step 5, according to the amplitude of fluctuation of a DC signal, the situation that whether a device enters a restarting mode or not is determined; Step 6, when the amplitude of fluctuation of the DC signal is smaller than the reference level offset, the device enters the restarting mode. The invention further discloses a device for realizing the mobile self-adaption energy and information synchronization wireless transmission method. The device comprises an energy and information wireless launching unit and an energy and information wireless receiving and recovery unit connected with each other and has the advantages of high efficiency and reliability.

A locomotive pantograph contact pressure on-line inspection equipment is provided. One side of the track of the upright post at the outer side of track, the lower end of an elevating screw is fixed on the inner ring of the bearing of the supporting frame and passes through worktable supporting frame and the worktable and matched with an elevating nut on the installing frame; the worktable is fixed on the installing frame; a drawing press sensor is arranged on the work table close to the upright post, the steel rope connected with the sensor passes through the worktable and the installing frame and is connected with the one end of the horizontal insulator nearby; the other end of the horizontal insulator is connected with the horizontal insulator far, the connection part is hinged with the lower end of a vertical insulator and the vertical insulator passes through the worktable upward and fixed on the worktable; the other end of the horizontal insulator far is connected with a connect net clip downward; the drawing pressure sensor is electrically connected with the data processing and controlling equipment. The equipment can conduct dynamic detection on-line. The use is safe and convenient, the cost is low, the detecting precision is high, the reliability is good, and the service life is long.

The invention relates to a self-adjusting control method that uses step fuzzy and adopts gathers main axis power. It could adjust the feed ratio and main axis rotating speed ratio on line. On the serving links of on CNC-PLC and setting milling usage of NC program to realize rotating speed of main axis and adjusting online, the target of constraining main axis power of intelligent step control for milling process would be realized. It could effectively improve processing efficient and processing quality.

The invention discloses an in-vehicle environment detection method and detection system. The in-vehicle environment detection method includes the steps of collecting in-vehicle sensor data; calculating the grade of a direct feeling module and the grade of a danger coefficient module; determining the weights of the direct feeling module and the danger coefficient module and solving the grade of the overall comfort level; predicting the trend of each index according to historical data; using one kind of sensor data as a comparison index and others as reference indexes, calculating the degree of association of the reference indexes and the comparison index, obtaining predicted value of the comparison index, calculating data of the reference indexes corresponding to the predicted value of the comparison index, judging whether the predicted value reaches a dangerous value within time t, and if no, outputting ideal temperature and humidity and overall comfort level. According to the in-vehicle environment detection method provided by the invention, various environmental data in a vehicle are monitored in real time through a sensor, the comfort degree of environment in the vehicle under a current state is calculated, the basis of in-vehicle environment conditioning is given according to optimal environmental data, and thus conditioning is facilitated to obtain a better taking environment.

The invention discloses an alarming method of an adaptive smoke alarm, and the method comprises the following steps of: setting an adjustment period of an alarm threshold in a timer; carrying out primary sampling on smoke concentration and determining the alarm threshold according to a sampling value obtained during the primary sampling; starting the timer to begin timing, and continuously sampling and comparing the sampling value with the alarm threshold; if the sampling value is higher than the alarm threshold, controlling an alarm module to give an alarm; if the sampling value is lower than the alarm threshold, sampling continuously and judging whether the variation range of two adjacent sampling values is less than 10% or not, if yes, timing continuously by the timer and sampling continuously, if not, returning the timer to zero, and timing the adjustment period of the alarm threshold again; and after the adjustment period of the alarm threshold is completed, adjusting the alarm threshold, and restarting the adjustment period of the alarm threshold. The alarming method disclosed by the invention has the advantages that the adaptive adjustment on the alarm threshold according to different environmental factors is realized and higher sensitivity is guaranteed in various environments.

The invention discloses a virtual rehabilitation system and a training method based on myoelectric feedback and Kinect interaction, wherein the system comprises a data acquisition portion and a virtual reality human-computer interaction portion, the data acquisition portion comprises an electromyographic signal data acquisition module and a Kinect body movement recognition module, the virtual reality human-computer interaction portion comprises a rehabilitation training mode selection module and a virtual reality human-computer interaction module. The rehabilitation training method of the system comprises an electromyographic feedback mode, a Kinect interaction mode and an electromyographic+Kinect combination mode, so that the requirements of rehabilitation training of different joints ofpatients can be met. The electromyographic+Kinect combination mode is a brand-new rehabilitation training method, wherein body movement recognition is carried out through Kinect, and myodynamia magnitude evaluation is carried out through electromyographic signals, so self-adaptive adjustment on difficulty coefficients of virtual rehabilitation training scenes is achieved, and personalized rehabilitation requirements of patients can be met.

The invention discloses a self-adaptation burst flow detection device and a detection method thereof. The detection device is composed of three modules connected in sequence, and the three modules refer to the data collection module, the data processing and storing module and the flow detection module. The data collection module is used for collecting data transmission rate information in a network and providing the data transmission rate information for the data processing and storing module for processing and storing, and the data transmission rate information serves as the basis in the flow detection module for detecting burst flow. The detection method of the burst flow detection device includes the steps of respectively maintaining a storage window queue Q with the largest space length N and a detection threshold value variable theta used for detecting the burst flow and adjusted in a self-adaptation mode according to the historical and current transmission rate data of the network. Thus, the network load and the network status can be free from configuration by utilizing the two parameters, the two parameters can adapt to change of the current network and automatically generate self-adaptation detection threshold values, and therefore self-adaptation detection on the burst flow of the network can be achieved, and the self-adaptation burst flow detection device and the detection method can have excellent popularization and application prospects.