7results about How to "Balance" patented technology

The invention relates to the technical field of physiological signal processing, and discloses a millimeter wave radar multi-dimensional physiological feature decoupling heart failure early warning system and method, and the method comprises the steps: configuring a millimeter wave radar to transmit a dual-beam frequency modulation continuous wave signal, collecting human body reflection echoes, and generating a multi-channel original digital signal matrix; generating a chest region and acra region phase signal, an overall reflection signal amplitude sequence and an overall phase drift signal after spatial isolation enhancement through distance-Doppler combined processing; decoupling to obtain a beat-by-beat heartbeat interval sequence, a pulse wave transmission time sequence and a daily net body fluid variation sequence; obtaining a rule engine risk level and a machine learning early warning sign, and determining a final risk assessment level through fusion decision; synchronous high-precision collection and decoupling of non-contact multi-dimensional physiological parameters are achieved, and accuracy and specificity of heart failure decompensation early warning are improved through double-layer model fusion.

The application discloses a small sample geothermal resource prediction method and device, system and storage medium, comprising: learning the Bayesian prior knowledge with generalization ability from limited source data by meta-learning, migrating to a new small sample target area through a rapid adaptation mechanism, and utilizing multi-scale differential similarity calculation and mixed student distribution to realize high-precision point prediction and reliable uncertainty interval estimation. By adopting the technical scheme of the application, under the objective constraints of small sample, high cost and strong regional heterogeneity in geothermal resource exploration, high-precision, high-robustness and energy-based uncertainty reserve prediction can be realized.

The application discloses a muscle synergy analysis method based on surface electromyogram signals, and comprises the following steps: S1, collecting multi-channel surface electromyogram signals; S2, determining the number of muscle synergies by taking explained variance as the standard of the number of muscle synergies; S3, extracting muscle synergy features, and according to the envelope signal matrix Z i×r and the number of muscle synergies n, performing non-negative matrix decomposition on the envelope signal matrix Z i×r , and introducing a sparse constraint in the decomposition process, so that the process of extracting muscle synergy features is converted into an optimization problem; S4, obtaining a reconstructed matrix HY res obtained according to the optimization problem in step S3, that is, a decomposition result; S5, performing normalization processing on the synergy structure matrix H res , obtaining muscle activation states under different muscle synergy modules and analyzing the muscle activation states, obtaining a muscle synergy mode in the movement process, and calculating a reconstruction precision and a sparse degree. The method can achieve higher reconstruction precision and sparse degree in muscle synergy analysis, so that the quality and interpretation ability of data decomposition are improved.

The application discloses a technical virtual power plant voltage prediction method and system based on a high-temperature scene, relates to the technical field of power system voltage safety and virtual power plant operation control, and establishes a main grid, distribution network and transformer area multi-level voltage coupling model, systematically quantifies a bidirectional transmission relationship of main grid voltage support, distribution network power flow distribution and transformer area load fluctuation, solves the problem of insufficient mechanism description caused by only considering a single level in the prior art, and significantly improves the physical consistency of voltage prediction under extreme high temperature; and an index system associated with temperature and voltage and a self-adaptive SMOTE oversampling algorithm are proposed, a differentiated sample enhancement strategy is used to effectively solve the data imbalance problem caused by the scarcity of extreme high-temperature scene samples, the proportion of all types of samples is balanced, and the generalization ability of the prediction model to extreme scenes is significantly improved.

This invention discloses a load balancing control method and system for photovoltaic energy storage charging stations, comprising: determining the average load power, load deviation value, and station power deficit value based on the branch load power of each charging branch; determining the lifetime loss weight based on the state of charge, cluster temperature, cluster internal resistance, and cumulative flux of each energy storage cluster; determining the power allocation interval corresponding to each energy storage cluster based on the lifetime loss weight and instantaneous power adjustment margin, and forming a branch compensation sequence; subsequently performing power compensation on each charging branch in sequence to obtain the target power sharing result for each energy storage cluster corresponding to each charging branch; and finally, performing coordinated control on each energy storage cluster and each charging branch based on the target power sharing result. This invention can balance both the station load balance and the lifetime balance of energy storage clusters.

The utility model discloses an elevator counterweight housing traction system, which relates to the technical field of elevators and comprises a counterweight assembly, a base, a driving assembly and a steel wire rope assembly. The counterweight wheels are mounted at the top of the counterweight housing, and the two counterweight wheels are symmetrically distributed relative to the center line of the counterweight housing; the steel wire rope assembly comprises an even number of steel wire ropes, one half of the steel wire ropes are wound on one counterweight wheel, the other half of the steel wire ropes are wound on the other counterweight wheel, one end of each steel wire rope is fixed to the machine base, and the steel wire ropes are wound around the corresponding counterweight wheels, then penetrate out of the middle area between the two counterweight wheels and are connected with the traction wheel. The two counterweight wheels are symmetrically arranged on the top of the counterweight housing in the left-right direction, and the steel wire ropes are wound on the counterweight wheels in groups, so that centralized arrangement of traction ropes on the counterweight housing is realized, the counterweight housing does not need to be integrally shifted to the side wall of a shaft, interference risks caused by insufficient space are effectively reduced, stress of the counterweight housing during lifting is more balanced, and the service life of the counterweight housing is prolonged. The operation stability is improved.

The application discloses a content uploading method, a wearable device and a storage medium, and relates to the technical field of wearable devices. The method comprises the following steps: after receiving an interaction instruction, acquiring collected image data; extracting text information in the image data to obtain text data, and selecting at least one first index for evaluating the quality of the text data; acquiring or setting a decision rule corresponding to the first index, and deciding an uploading mode according to the decision rule and the first index, wherein the uploading mode is uploading text or uploading an image; and uploading corresponding data to a target device according to the uploading mode, so that the target device executes the interaction instruction based on the received data. The application reduces the invalid image transmission process and reduces the data transmission power consumption.