12 results about "Exponential decay" patented technology

The present application provides a target tracking method, device and equipment combined with an uncertain area. The method includes: if the observation information of the target is obtained at the current update moment, the Kalman filter state estimation result is updated according to the obtained observation information; otherwise, through a preset state model, the most recent Kalman filter state estimation result is projected from the corresponding moment to the current update moment to obtain a new state vector and state covariance matrix. The center of the prediction area is determined according to the position coordinates therein, and the major axis length, minor axis length and inclination angle of the prediction area are determined according to the position sub-matrix therein. The preset state model assumes that the target moves in a straight line within a preset time period, and the movement speed is affected by exponential decay and random acceleration perturbation. Through the present application, after the observation information is lost, a prediction area with a smaller area can be given, and the probability that the target is within the prediction area is higher, significantly improving the confidence of the lost target estimation.

The present invention discloses an adaptive exponential decay method for decaying the offline model prediction value of the recommended task for the worker according to the real-time competition situation in the crowdsourcing scenario. Based on the distribution difference of the prediction value of different offline prediction models, the present invention designs an algorithm for adaptively adjusting the exponential decay parameter according to the local distribution and global distribution of the offline prediction value. In this model, the global distribution determines the upper limit of the exponential decay intensity, and the local distribution determines whether this upper limit can be reached, wherein the absolute distribution of the local distribution is used to determine the increase or decrease of the initial local distribution intensity, and the relative distribution determines the intensity of the increase or decrease. After adjusting the hyperparameters, the model has the ability to generalize between different offline models. This model stabilizes the problem of abnormal fluctuations in the indicators related to the recommendation list caused by the non-independence between workers in the crowdsourcing scenario.

Shared events are identified across spike neural network data streams with significant random content. The data streams first undergo cross-correlation. If two data streams are completely uncorrelated, the rate of occurrence of cross-stream spike pairs is approximately uniform across all event time intervals, "r_ind". Any shared event forms a gradient, where r_ind increases to a rate "r_shr" for any TBE ≤ the time of discrimination. The search for the actual TOD can be performed using a predicted TOD. An exponential decay test is performed on TOD_c, where the rate of exponential decay is set to the predicted r_ind. A range of equal exponential decay values ​​when r_ind_c = actual r_ind represents equal probability. Values ​​for TOD_c and r_ind are generated until regions with equal probabilities are found to receive combinations of statistically equal numbers of cross-stream events. It is then known that TOD_a ≤ TOD_c.

The invention provides a power system inertia evaluation method under colored noise, and belongs to the technical field of power system inertia evaluation. The technical problem that a conventional inertia evaluation method is low in evaluation precision in a colored noise environment is solved. According to the technical scheme, the method comprises the following steps: S1, firstly, deducing a basic principle of inertia estimation of a power system, and forming a difference equation of frequency deviation with respect to power deviation; s2, constructing a state equation and a measurement equation of an improved adaptive filtering algorithm; s3, using an improved adaptive filtering algorithm added with an exponential decay type variable forgetting factor to solve identification equation parameters; and S4, solving the system node inertia through an equation relation between the identification parameters and the node equivalent inertia. The method has the beneficial effects that the technical problem of low inertia evaluation precision under colored noise is solved by introducing the improved adaptive filtering algorithm, and the universality and accuracy of an inertia identification result are improved.

The invention discloses a permanent magnet synchronous motor sensorless transition speed domain control method based on an improved Hereum algorithm. According to the following innovative scheme, firstly, a random high-frequency square wave voltage injection method is combined with a sliding-mode observer method, and rotor position accurate estimation of a zero-low-speed domain and a medium-high-speed domain is achieved; and then, introducing an improved Ho algorithm (HO), adopting a Chebyshev chaotic mapping initialization population strategy, replacing an original exponential attenuation formula with a self-adaptive inverse proportion attenuation function, calculating an optimal weight coefficient corresponding to each discrete rotating speed point in a switching interval in an off-line manner, and generating a continuous and smooth weight distribution curve through polynomial fitting. Smooth transition of the two control strategies in the transition speed domain is achieved, and switching oscillation and position errors are remarkably reduced. According to the method, through transition speed domain model fusion and algorithm optimization, the problem of torque fluctuation caused by traditional linear weighted switching is solved, and the system robustness is improved.

The method can include obtaining two or more density measurements at two or more heights above a fluidized bed within a fluidized bed reactor; calculating an exponential decay constant using the two or more density measurements at the two or more heights; calculating an entrainment density using a backmixing density model having an input of the exponential decay constant; calculating an entrainment flux using an entrainment flux model having an input of the entrainment density; and adjusting at least one operating parameter of the fluidized bed reactor in response to the calculated entrainment flux.

This invention belongs to the field of machine tool cutting state monitoring and intelligent control technology, specifically relating to a method for controlling the cutting state of a tool during the boring process of a space frame member. The method includes: real-time acquisition and preprocessing of multi-dimensional cutting data during the boring process to obtain a basic feature sequence; calculation of the ratio of the average effective cutting power of the sliding window to the instantaneous material removal rate, and obtaining a steady-state cutting energy index after deducting the initial cutting energy benchmark; calculation of the time-dependent decay weight of historical samples using an exponential decay function, and then obtaining the drift compensation boundary probability through root mean square fusion to dynamically correct the isolation forest model's decision boundary; further fusion of the average path length and normalization constant, and obtaining an anti-baseline drift correction anomaly score through the product of the exponential term and the logarithmic suppression term; setting a safety threshold, and performing anti-chipping closed-loop control based on the comparison result between the anomaly score and the threshold. This invention improves the accuracy of tool control during the boring process of space frame members.

The invention relates to the technical field of measurement and detection, and discloses an elastic solid ball quality monitoring method based on a time sequence and image recognition. A space rectangular coordinate system is established on an experiment platform, a pressing plate device and a calibration datum point are arranged, conversion from pixels to physical dimensions is achieved in combination with an image acquisition unit, and measurement standardization and baseline accuracy are ensured. The method comprises the following steps: placing a solid ball between pressing plates, applying a load, releasing the load, collecting a recovery process image at a high frame rate, extracting a top pixel line number and an indentation deformation quantity, and removing invalid data to ensure reliability. Fitting recovery rate parameters by using an exponential decay model and a least square method, establishing relationships between the rate and mass, damping and rigidity through a kinetic equation, and calibrating system constants in combination with a standard sphere to realize mass inversion. Abnormality is automatically judged when a result is output, consistency is evaluated by taking a mean value and a standard deviation after multiple times of measurement, and precision and stability are ensured.

This invention discloses a quantitative method for the dynamic consistency of temperature field based on thermal field analysis. Temperature measurement points are set up upstream and downstream of the filter. During the isothermal stage, a set disturbance is applied and multiple temperature sequences are collected. The preprocessed temperature data is obtained after detrending and bandpass filtering. Frequency domain analysis is used to calculate the average phase value of the upstream and downstream temperature sequences within a preset frequency band, and the results are grouped into the principal value region to form a downstream phase set. Based on this set, the absolute value of the phase mean and circular statistical parameters are obtained. By calculating the complementary value of the absolute value of the phase mean and the exponential decay result of the circular statistical parameters, a comprehensive score reflecting the temperature uniformity of the extinguishing effect is obtained, thus achieving a quantitative evaluation of the dynamic consistency of the extinguishing temperature field.

The invention discloses a space target orbit calculation method based on an SGP4 model, and relates to the technical field of space target orbit calculation. Dynamic weighting of a high-order perturbation item is achieved through coupling of a continuous window function and height / eccentricity ratio double factors, and the moment calculation precision of a perigee window is remarkably improved; based on a dynamic threshold mechanism of track statistical characteristics, the high-efficiency characteristic of an analytical solution is maintained to the maximum extent on the premise of ensuring the precision; in addition, double timestamp output is adopted, so that the time axis dislocation risk caused by leap second adjustment is fundamentally avoided; the exponential decay design in the weight model guarantees the stable performance of the algorithm at different orbit heights.

The present application relates to the field of data processing, in particular to a circulating cooling water fouling trend prediction method and system based on real-time data, the method comprising: using near-wall flow velocity fluctuation adaptive adjustment window to extract temperature field anisotropy, shear dissipation estimation and ion activity lag angle, and combining with calcium concentration to form multi-field coupling characteristics; based on characteristic calculation, logically exclusive activation strength is activated, when the threshold value is exceeded, the temperature gradient weight is smoothly transferred to the shear weight to generate nucleation tendency coefficient; using the square of the nucleation tendency coefficient, the anisotropy and the shear complementary factor to calculate the entropy increase, constructing the exponential decay irreversible degree factor to constrain the prediction value, and combining with the basic fouling rate to obtain the fouling trend prediction value. The present application extracts high spatial resolution multi-field characteristics through adaptive window, dynamically weights and identifies the logic mutual exclusion of high-risk working conditions, reduces false alarms and misses, and realizes accurate and thermodynamic law-conforming quantitative prediction of fouling trend.

The invention provides a quantum radiation expression algorithm and system based on cluster static nuclear force and electric field force unification, and relates to the crossing field of quantum physics, condensed state physics and high-energy physics. The quantum radiation expression algorithm based on cluster static nuclear force and electric field force unification comprises an additive coupling structure of an electromagnetic part and a nuclear force correction term, and the nuclear force correction term comprises a distance-dependent exponential attenuation factor and a coupling coefficient N0. The unified quantum radiation expression algorithm solves the problem that the electromagnetic force and the nuclear force are in a short-range scale (lt; 1fm) is difficult to describe collaboratively, and breakthrough in calculation precision and efficiency is realized.