10results about How to "Fast judgment" patented technology

The present invention relates to an occlusion detection method, device, and electronic device for a surveillance camera in an elevator. An occlusion detection method for a surveillance camera in an elevator, comprising: S1, generating a template depth map through a picture collected by a camera; S2, performing self-occlusion detection based on the maximum connected domain difference comparison between the template depth map and the self-occlusion depth map; the self-occlusion depth map is generated by a picture collected by the camera; S3, performing occlusion detection based on the maximum connected domain difference comparison between the template depth map and the occluded depth map and the centroid coordinate difference comparison; the occluded depth map and the centroid coordinates are generated by a picture collected by the camera; the self-occlusion detection and the occlusion detection are run independently. It is implemented based on monocular depth estimation, and has low requirements on the picture acquisition and processing frequency (only needs to be greater than 1fps).

Embodiments of the present application disclose a grid-connected inverter control method, device, equipment and storage medium. The grid-connected inverter control method comprises: calculating a grid voltage prediction value in a two-phase stationary coordinate system in a current period according to a grid voltage sample value in the two-phase stationary coordinate system in a previous period, a variation angle of a three-phase grid voltage space vector and a preset numerical relationship; judging whether a grid voltage drop occurs according to a numerical relationship between an absolute value of a difference between the grid voltage sample value in the two-phase stationary coordinate system in the current period and the grid voltage prediction value and a preset voltage value; and controlling the grid-connected inverter according to a judgment result. The technical scheme of the embodiments of the present application is helpful to improve the judgment speed of the grid voltage drop, thereby relieving the problem of the grid voltage drop and improving the adaptability of the grid-connected inverter to the grid voltage drop.

The present invention relates to an intelligent recognition method and device for body objects, the method comprising: loading a standard exchange format file, including a plurality of basic body objects and non-basic body objects; processing the non-basic body objects in sequence, determining the triangles stretched by each vertex according to the vertex index information set of each triangle, generating the face normal of the triangle according to the vertex normal vector of each vertex of the stretched triangle, analyzing the face normal of each triangle and determining the non-intersecting, coplanar, parallel or intersecting relationship of the different faces of the triangle, comparing the standard judgment set of the face normal of all triangles of the standard geometric form with the face normal set of all triangles of the non-basic body object, so as to preliminarily determine the macroscopic geometric form of the non-basic body object, and then determine the face normal and relationship of each macroscopic surface, and extract the description parameters of the non-basic body object according to these face normals and relationships. The present invention significantly improves the recognition speed of geometric bodies.

An embodiment of the present invention relates to a method for outputting audio, an electronic device, and a storage medium. The method is applied to an electronic device having a proximity sensor, and the method includes: when the electronic device is connected to an audio output device and has an audio signal output, obtaining proximity data of the proximity sensor; when the proximity data meets a preset condition, the earpiece of the electronic device outputs the audio signal, and determining the type of the audio output device; and determining whether the audio output device outputs the audio signal based on the type of the audio output device. As can be seen from the above, in an embodiment of the present invention, when an electronic device including a mobile phone is connected to other audio output devices, the earpiece can output an audio signal under certain conditions to improve the user experience.

The invention provides a commutation failure composite judgment method and system for a high-voltage direct-current power transmission system. The method comprises the following steps: acquiring an extinction angle of the high-voltage direct-current power transmission system in commutation control; determining a risk level of commutation failure of the high-voltage direct-current power transmission system based on the extinction angle; when the risk level is a second level, acquiring commutation equivalent inductance, commutation current, initial phase voltage and terminal phase voltage of the high-voltage direct-current power transmission system; based on the commutation equivalent inductance, the commutation current, the initial phase voltage and the end-point phase voltage, performing re-judgment by adopting a commutation voltage time area, and determining whether commutation of the high-voltage direct-current power transmission system fails or not; wherein the risk level comprises a first level and a second level. According to the technical scheme provided by the invention, multiple and massive integral operation of the commutation voltage time area is avoided, the requirement of online real-time calculation can be met, and the method has relatively high precision and relatively high judgment speed.

The application provides a method and device for identifying a shell of an Android application and a storage medium. The method comprises the following steps: obtaining a training Android application, and obtaining a dex file after decompression; counting the number of occurrences of each string in the dex file, and calculating the frequency of character occurrence based on the number of occurrences of the string; obtaining the string with the highest difference in frequency of character occurrence as feature data according to the frequency of character occurrence of the shell Android application and the frequency of character occurrence of the unshell Android application; training a shell identification model through the feature data; obtaining a to-be-identified Android application, obtaining a to-be-identified dex file after decompression, and identifying the to-be-identified dex file through the trained shell identification model, so as to obtain an identification result. The application provides a method for quickly determining whether an Android application is shelled, and uses a machine learning model to identify the shell, thereby further improving the efficiency and accuracy of identification.

The invention belongs to the technical field of intelligent three-dimensional warehouses, and provides an intelligent three-dimensional container distribution method and system. Before electric power material equipment is distributed, the size of the electric power material equipment is determined according to light round-trip time through laser data; the height difference between the height size of the storage location and the electric power material equipment and the length difference and the width difference between the size of the tray and the electric power material equipment are calculated respectively, candidate trays are determined on this basis for equipment distribution, and distribution is carried out in storage locations and trays of various sizes in a simple size calculation and matching mode; the utilization rate of each storage location and tray space can be guaranteed, the distribution accuracy and efficiency are high, and when a large number of electric power material devices are distributed to the trays in the three-dimensional warehouse at the same time, the method has the advantages of being small in data size needing to be processed, high in judgment speed and the like.

The invention discloses a health assessment method for an FPSO hydraulic immersed pump system. The health assessment method comprises the following steps that firstly, a monitoring point is determined; 2, selecting the data according to the current working condition to obtain an independent variable weighted vector; 3, obtaining a score vector; 4, obtaining a score matrix; 5, obtaining a system-level weighted vector; 6, obtaining a system-level score vector; 7, obtaining a system-level load vector; 8, obtaining a modeling value and an independent variable residual error; 9, collecting data to obtain a system-level weighted vector and an independent variable residual error; tenthly, a square error and a control upper limit value are obtained; eleventhly, judging that the FPSO hydraulic immersed pump system is in a healthy state, a sub-healthy state or a fault state; and the importance of the data is adjusted by using the weighted vector, so that the evaluation is accurate, the participation of unimportant data is reduced, and the operation efficiency is high. Therefore, according to the design, the importance of the monitoring data can be judged, and the operation efficiency is high.

The invention relates to the technical field of rail transit, and discloses a train morning and evening point self-correction aided driving method, device and equipment and a storage medium. Whether morning and evening point self-correction triggering conditions are met or not is judged by comparing running track planning information and real-time running information of a target train; establishing a train driving condition list aiming at each path parking node in the running track, considering the mutual influence between the target train and other associated trains at the same path parking node, and taking the morning and evening point deviation range of each train and the path parking node proportion of the target train for executing self-correction as a principle; the method comprises the following steps: generating a train morning and evening point self-correction auxiliary strategy according to a running track section speed limit requirement and a train acceleration and deceleration requirement, generating a train morning and evening point self-correction execution instruction, and carrying out visual display and driving auxiliary guidance on the train morning and evening point self-correction execution instruction by utilizing a human-computer interaction interface. And the train operation morning and evening point correction operation accuracy, the judgment speed and the passenger experience are improved.

The embodiment of the present invention discloses a three-dimensional visualized power transmission line control method, including: obtaining the location information of the target area, obtaining the control scene information, and planning the information collection route according to the location information and the control scene information; driving the target UAV to fly along the information collection route, obtaining the target collection three-dimensional data, and constructing a three-dimensional visual model according to the target collection three-dimensional data; obtaining the display instruction input by the user, the display instruction includes the display perspective and the display content, and the three-dimensional visual model is displayed according to the display instruction; obtaining the screenshot instruction input by the user, obtaining the current perspective image of the current three-dimensional visual model, performing image recognition on the current perspective image according to the screenshot instruction to obtain the recognition result, and annotating the current perspective image according to the recognition result. The present invention also provides a three-dimensional visualized power transmission line control system, an intelligent terminal and a medium. The present invention can effectively improve work efficiency.