9results about How to "Implement fixes" patented technology

The application discloses a kind of barometric altitude dynamic correction method based on airborne data.First, the sliding window parameters are screened using recursive feature elimination method, and then the sliding window is initialized and updated;Clean the sliding window data, first determine whether the sliding window data is null, then correct;For the data fusion multiple methods to detect outliers and correct after completing null judgment and correction;Construct the LSTM model and optimize the sliding window size, select the window size of the best performance indicator, use the LSTM model to correct the barometric altitude dynamically.This method has the characteristics of high precision, strong real-time, etc., improves the deficiency that the existing method can only correct the barometric altitude at a specific location, realizes the dynamic correction of barometric altitude in the whole approach process, improves the obstacle safety under low temperature conditions, at the same time, has the ability to correct the barometric altitude under high temperature conditions, and can be widely used in flight operation using barometric vertical navigation program.

The present application relates to medical image processing technology, disclose a kind of for rib segmentation post-processing method and system, its method includes: for rib image is carried out segmentation processing, obtain segmented rib image;To the rib image after processing is post-processed, obtain the segmented rib image after processing, by the extraction of skeleton to segmented rib image;Through the skeleton length statistics of rib of the skeleton extracted, and based on the skeleton length of statistics carries out the determination of rib connection;For the result of rib connection is through the construction energy function, carries out the correction of rib connection.The present application uses statistics and constructs energy function, locates connected rib and matches the same rib spine end and thoracic end, realizes the correction of connected rib.

This application relates to a flow measurement method, apparatus, computer equipment, storage medium, and computer program product. The method includes: when the error of the flow measurement result exceeds the allowable error range, adjusting the flow measurement pipeline to a first state where it is filled with liquid and the liquid is stationary; performing zero-point calibration on the flow measurement parameters based on the first state to obtain zero-point calibration parameters, so that the flow velocity measurement result obtained based on the zero-point calibration parameters in the first state is zero; adjusting the flow pipeline to a second state where it is filled with liquid and the liquid is flowing, and obtaining the instantaneous flow velocity measurement result in the second state; obtaining the full-scale coefficient in the flow measurement parameters, and obtaining a corrected full-scale coefficient based on the instantaneous flow velocity measurement result and the cumulative flow of the liquid during the sampling period; and measuring the flow rate of the liquid in the pipeline based on the corrected full-scale coefficient and the zero-point calibration parameters to obtain the measurement result. This method can achieve accurate measurement of the flow rate of fluid in a pipeline.

The application discloses a manned-unmanned aircraft cooperative operation formation collision avoidance control method, and belongs to the technical field of aircraft cooperative control; the method adopts a hierarchical architecture separating performance layer and safety layer: the performance layer generates nominal instructions for tracking operation slots by model predictive control; the safety layer filters threats in real time based on collision cones, and converts collision avoidance conditions into linear inequality constraints about unmanned aircraft acceleration by using control barrier functions. By setting hierarchical safety parameters for unmanned aircraft-manned aircraft interaction and unmanned aircraft-unmanned aircraft interaction, and imposing hard constraints on the former and soft constraints that can be relaxed on the latter in solving, the absolute safety priority of manned aircraft is ensured. The application realizes effective decoupling of high-performance formation tracking and real-time autonomous collision avoidance, improves the real-time performance and reliability of the system while ensuring safety, and is suitable for large-scale cooperative operation tasks.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

This invention discloses a thermal insulation and corrosion-resistant insulated pipe bypass device and method, belonging to the technical field of adhesion control and bypass path planning for pipeline traveling devices. It includes: S1, a ring-shaped frame, a sensing arm, a first drive wheel system, a first clamping mechanism, a three-dimensional sensor, an inertial measurement unit, a sensing wheel, a high-resolution encoder, a first torque meter, a second torque meter, and a controller. The sensing arm is connected to the front end of the ring-shaped frame in the traveling direction via a flexible hinge. The first drive wheel system, the first clamping mechanism, the three-dimensional sensor, and the inertial measurement unit are mounted on the ring-shaped frame. The first torque meter is integrated into the output shaft of the first drive wheel system. This invention's forward-looking adhesion feedforward control allows the device to anticipate sudden changes in friction on the pipe surface, overcoming the slippage problem that is difficult to avoid with traditional methods relying on hysteresis slip rate feedback, and improving the device's stable adhesion capability on sudden low-friction pipe surfaces.

A dual-motor controlled fastening device with torque recognition includes a PLC, a torque storage module, a torque detection device, a comparator, a first drive motor, and a second drive motor. The torque signal output by the PLC controls the first drive motor to control the torque output of the torque gun. When the comparator determines that the output torque of the first drive motor is abnormal, the PLC controls the first drive motor to reverse and eliminate the abnormal torque, and then starts the second drive motor to continue working. This invention uses a PLC to implement the torque gun circuit control, and the torque detector detects and confirms the torque output value, enabling the system to identify and correct torque, increasing equipment reliability and enhancing equipment intelligence. Simultaneously, using a dual-motor controlled fastening device with torque recognition, through the dual-drive motor mode, reduces the need for a spare torque gun, saves production costs, and improves equipment utilization efficiency.

This application provides a method, system, equipment, and medium for ultra-short-term forecasting of wind power clusters under extreme weather conditions based on Beaufort wind scale, relating to the field of wind power prediction technology. The method includes: dividing wind speed into low, medium, and extreme wind speed ranges based on Beaufort wind scale and wind turbine operating parameters; matching corresponding correlation metrics to each of the three wind speed ranges to perform correlation filtering on wind power station data, obtaining filtered wind power station data carrying wind speed type identifiers; inputting the filtered wind power station data into the corresponding prediction branch according to the wind speed type to obtain initial power prediction features for each range; inputting the wind power features into the corresponding error correction model according to the wind speed type to obtain error correction features for each range; and adding and fusing the initial power prediction features and the corresponding error correction features to obtain the final predicted power. This application can improve the accuracy and stability of ultra-short-term power prediction for wind power clusters under extreme weather conditions.

The invention discloses a long-term semantic VSLAM method and system for dynamic accumulated noise suppression and ghosting elimination, and relates to the technical field of robot visual navigation and map construction, and the method comprises the following steps: collecting a current frame image in the continuous inspection process of a robot, and carrying out the processing of the current frame in the processing of the current frame; semantic mask extraction based on the instance segmentation model and dense optical flow field calculation based on the current frame and the previous key frame are executed in parallel; according to the method, potential dynamic object categories and accurate contours in the images can be recognized by adopting the YOLACT instance segmentation model, the large displacement situation possibly brought by the motion of the robot is coped with by combining a parallel execution optical flow estimation algorithm, semantic understanding of the environment and accurate synchronous capture of motion information are achieved, and the method has the advantages of being high in practicability and high in practicability. And the optical flow generated by the motion of the object and the background optical flow caused by the motion of the camera are effectively distinguished by measuring and analyzing the direction consistency of the optical flow vector, so that the accuracy and robustness of dynamic judgment are improved.