9 results about "Loop closing" patented technology

The application discloses an in-loop enhancement method for super-low code rate video coding based on artificial intelligence, and relates to the technical field of artificial intelligence, which comprises the following steps: step 1: obtaining a reconstructed frame generated by a current decoder as a visual input and a current code rate indicator as a control input; generating an initial pulse event stream containing event timestamps and polarity and a pulse timing consistency graph thereof; step 2: under the constraint of the pulse timing consistency graph, performing pulse consistency re-estimation and asynchronous residual back-annotation based on interleaved phase cross-checking; step 3: under the control of in-loop closed-loop and code rate collaborative regulation, generating a pulse reconstruction enhancement frame by using the enhanced pulse event stream, and replacing a reference frame with the pulse reconstruction enhancement frame. The application can significantly reduce the cross-frame distortion accumulation risk, improve the subjective viewing quality and the reliability of the reference frame, and has practical application value in low-bandwidth transmission and limited storage scenarios.

The invention discloses a closed-loop current adjusting method and device of a power grid, a storage medium and electronic equipment. The method comprises the following steps: acquiring an initial voltage amplitude and an initial phase angle value at two sides of a target loop closing point, and determining an initial loop closing current value of the target loop closing point; if the initial loop closing current value is greater than a preset loop closing current threshold value, based on the initial loop closing current value, determining a first-stage adjusting quantity of the adjusting equipment, performing first-stage adjustment on the adjusting equipment, and after the first-stage adjustment is completed, determining a first updated loop closing current value of the target loop closing point; based on the first updated loop closing current value, carrying out second-stage adjustment on the adjusting equipment; and after the second-stage regulation is finished, if the obtained second updated loop closing current value is greater than the preset loop closing current threshold value, continuously regulating the regulating equipment by adopting a second-stage regulation mode until a regulation stop condition is met. The technical problem that the loop closing current adjusting precision of the loop closing point of the power grid is insufficient in the prior art is solved.

The invention discloses an ultra-low bit rate video coding and decoding in-loop enhancement method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: 1, obtaining a reconstruction frame generated by a current decoder as a visual input, and obtaining a current bit rate indication quantity as a control input; generating an initial pulse event stream containing an event timestamp and polarity and a pulse time sequence consistency graph of the initial pulse event stream; 2, under the constraint of the pulse time sequence consistency graph, pulse consistency reestimation and asynchronous residual error reinjection based on staggered phase rechecking are executed; and step 3, under the control of in-loop closed loop and code rate cooperative adjustment, generating a pulse reconstruction enhanced frame by using the enhanced pulse event stream, and replacing a reference frame with the pulse reconstruction enhanced frame. According to the method, the cross-frame distortion accumulation risk can be remarkably reduced, the subjective watching quality and the reliability of the reference frame are improved, and the method has the practical application value in low-bandwidth transmission and limited storage scenes.

The invention discloses a control method for a CHB converter of a flexible loop closing device, and relates to the technical field of power electronic converters and control. A hierarchical control structure is adopted, and an upper-layer controller generates and issues a control instruction giving consideration to system global situation and module balance; the lower local controller receives the instruction, selects an optimal switching state based on a stability criterion, and directly controls the power device to minimize the output deviation. According to the invention, traditional linear control and PWM modulation are abandoned. And the lower-layer switching control is based on a stability criterion and aims at instantaneously minimizing an error, so that the dynamic response speed is high, and the power grid disturbance can be effectively dealt with. Meanwhile, the method does not depend on an accurate system model, is insensitive to parameter changes, is high in robustness, and remarkably improves the stability of the system under complex working conditions. In addition, according to the method, a PWM (Pulse Width Modulation) link and lower-layer control parallel computing are omitted, a control structure is simplified, the operation load of a central processing unit is greatly reduced, and hardware implementation is easy.

A power distribution network closed-loop power supply switching key influence factor evaluation method based on LASSO regression and an improved XGBoost algorithm comprises the steps that a power distribution network closed-loop simulation model is built, initial influence factors influencing closed-loop current are analyzed, and multiple sets of sample data are generated through parametric scanning and Latin hypercube sampling; carrying out standardization and normalization processing on the initial influence factors; carrying out dimensionality reduction on the preprocessed high-dimensional features by adopting an LASSO regression model, determining an optimal regularization parameter through cross validation, and screening key influence factors; an improved XGBoost model is constructed based on the screened key influence factors, model hyper-parameters are optimized through grid search, and model precision is evaluated by using multiple indexes; and based on a feature importance result output by the improved XGBoost model, quantifying the weight of each key influence factor and determining a priority order, and formulating a hierarchical regulation and control strategy according to the priority order.

The invention discloses a multi-loop cooperative pre-synchronization control method and system based on a virtual synchronous generator, relates to the technical field of VSG control, and is suitable for an inverter grid-connected scene. According to the method, output voltages of a power grid and an inverter are collected in real time and filtered, a mathematical model is established based on a voltage signal, and a voltage compensation amount, an angular frequency compensation amount and a phase compensation amount are calculated; the three compensation quantities are cooperatively fused into a VSG control equation, multi-loop closed-loop adjustment is carried out on the amplitude, the angular frequency and the phase of the output voltage, and accurate matching with the three elements of the power grid voltage is achieved; and detecting deviation in real time, and sending a grid-connected instruction to complete operation after the deviation reaches the standard Through multi-loop cooperative compensation, the problems that phase difference elimination is inaccurate and the pre-synchronization speed is low in the prior art are solved, high-precision pre-synchronization can be rapidly completed under the large initial phase difference, the grid-connected impact current is remarkably reduced, power fluctuation after grid connection is restrained, the grid-connected stability and response speed of the system are improved, and the method has important engineering application value.

This invention relates to the field of power systems, specifically to a method, system, equipment, and medium for selecting the access location of a loop-closing device. The process involves generating typical daily scenarios for new energy power generation systems and loads; randomly simulating different times and line faults in the distribution network; calculating grid operation status indicators between different nodes of the distribution network where the loop-closing device is connected; constructing an indicator matrix; evaluating different loop-closing device access schemes; and forming an evaluation decision vector for loop-closing device access schemes for specific fault scenarios through standardization and maximum / minimum value analysis. The process then determines whether the number of simulations for the fault scenario is less than a preset total number of simulations. If so, the number of simulations is increased, and the grid operation status indicators are recalculated; otherwise, the process proceeds to the next step. Using evidence theory, a final access scheme for the loop-closing device, incorporating multiple indicators across multiple scenarios, is formed. This invention guides the selection of the access location for loop-closing devices, improving the reliability of power system operation and the power service capabilities of the distribution network.

The invention provides a rain flow counting fatigue analysis method based on a sliding window algorithm. The method comprises the following steps: acquiring time sequence load data, and selecting sub-sequence data according to a preset sliding window value; and then hysteretic loop closing judgment is carried out on the sub-sequence data through a sliding window algorithm. And if the sub-sequence data accords with the hysteresis loop closing rule, extracting the sub-sequence data as a rain flow pair, moving the sliding window according to a first sliding window strategy, and carrying out next round of hysteresis loop closing judgment. And if the sub-sequence data does not conform to the hysteretic loop closing rule, moving the sliding window according to a second sliding window strategy, and carrying out next round of hysteretic loop closing judgment. In this way, the complexity of rain flow counting can be reduced, the extraction efficiency of the rain flow pairs is improved, and then the actual requirements of complex engineering application are met.

The present disclosure relates to an operation method of a computing device for performing a method for producing precise indoor maps using loop closing, including the steps of moving a robot to a first location, wherein the robot collects images and sensor data for precise map production by using a sensor module including at least one of a LiDAR sensor, an IMU sensor; forming a first closed-loop trajectory with an optimized pose graph by odometry estimation from the first location to create a first map using the movement of the robot; updating at least part of a second map generation trajectory and sensor data corresponding to a current trajectory of the robot by using at least one of trajectory information and sensor data of the first closed-loop trajectory; and outputting an updated second map based on the updated second map generation trajectory and sensor data.