10results about How to "Resolution cycle" patented technology

The invention discloses a time sequence generation method and system based on uncertainty quantization and frequency domain constraint, and belongs to the technical field of artificial intelligence and data mining. Outputting a mean value of the completion value and a variance representing the uncertainty of the completion result; an entropy weight adaptive mask generation mechanism is constructed, a soft mask matrix of continuous values is generated according to variance and local observation density, and high uncertainty corresponds to low mask weight; constructing a mixed loss function containing time domain weighted loss and frequency domain consistency loss; and training a diffusion model based on the soft mask matrix and a mixed loss function to generate a regularized high-fidelity time sequence. According to the method, the Bayesian uncertainty quantization and soft mask mechanism is introduced, so that the problems that a binary mask mechanism in the prior art is rigid and cannot sense completion errors are solved, and meanwhile, the periodic characteristics of generated data are ensured in combination with frequency domain constraints.

The invention belongs to the technical field of computers, and particularly relates to a book group area detecting and positioning system and robot based on YOLO. A set of complete end-to-end technical scheme is provided, the problem of the whole process from image acquisition, model training, edge deployment to result fine screening is systematically solved, and the method is particularly suitable for automatically and accurately positioning the book area of the target layer in a library inventory scene. The book group area detection and positioning system based on YOLO is used for automatically and accurately positioning a book group area of a target checking layer from a bookshelf layer position image which is shot by the library visual checking robot and comprises a plurality of layer positions when being operated by the library visual checking robot. Therefore, the interference of the non-target horizon image on the subsequent automatic checking process is eliminated.

The invention discloses an industrial data fusion and interoperation processing method and device, equipment and a storage medium. The method comprises the following steps: acquiring multi-source industrial data from an industrial field environment; preprocessing the multi-source industrial data in combination with a multi-scale time axis reconstruction mechanism to obtain a standardized input data set; performing feature extraction and feature mapping on the standardized input data set through a cross-modal coding framework to obtain a multi-modal sample data set; labeling samples in the multi-modal sample data set based on a student model to obtain a multi-modal labeled data set; constructing an industrial association graph based on a graph neural network in combination with the multi-modal annotation data set, and processing the industrial association graph to obtain a unified state representation after fusion; semantic analysis is carried out on the industrial protocol through the semantic coding model, and cross-protocol mapping is carried out in combination with the industrial association diagram to obtain an interoperation result; and providing the fused unified state representation and interoperation result to an upper layer application through the micro-service architecture. The method improves the data processing efficiency.

The utility model relates to the technical field of quick connecting mechanisms, in particular to a quick connecting mechanism for a petroleum transportation pipeline. Comprising an outer threaded pipe, oil pipes arranged at the two ends of the outer threaded pipe, first inner threaded sleeves which are arranged at the two ends of the outer threaded pipe and can rotate, and a clamping mechanism which is arranged outside the first inner threaded sleeves and used for clamping the oil pipes. A second external thread is formed in the outer wall of the rotating sleeve; a second internal thread sleeve is mounted outside one end of the second external thread and is in threaded fit with the second external thread; a plurality of wedge-shaped blocks are arranged on the outer wall of the second inner threaded sleeve at equal intervals around the center axis of the second inner threaded sleeve, and U-shaped grooves are obliquely formed in the wedge-shaped blocks. The oil pipe can be clamped or released by the clamping rod, and the problems that the oil pipe butt joint period is long and installation is inconvenient are solved.

This invention discloses a method and apparatus for detecting lane-level turning information at at-grade intersections, comprising: preprocessing the road network, cleaning trajectory data and matching maps to connect trajectory points with their respective road segments; an intersection guidance zone identification step, considering the intersection trajectory distribution characteristics and vehicle straight-ahead stopping information at stop lines, to detect the intersection guidance zone; an intersection lane identification step, based on the intersection guidance zone identification results, extracting trajectories related to the guidance zone and performing multi-angle denoising, thereby inferring the guidance zone lanes; and an intersection lane-level turning information detection step, considering the intersection lane identification results, performing lateral and longitudinal statistics on the turning trajectories of each lane, and employing a supervised learning method to detect the intersection lane-level turning information. This invention is the first attempt to identify intersection lane-level turning information based on crowdsourced trajectories, making up for the lack of systematic research in lane-level turning information mining in existing works.

The present application provides a kind of coking blending coal volatile value optimization method, by using historical production data to correct pre-stored empirical formula, solve the problem that general formula is not adapted to specific working condition, yield prediction deviation is large, make yield calculation formula accurate match actual production;By setting the dry ash-free basis volatile value of blending coal in the preset range according to interval change algorithm theoretical yield, solve the problem that traditional value is random, miss the optimal interval, cover potential optimal value, avoid insufficient optimization;By multiplying the planned dry coal amount by the theoretical yield, the theoretical yield is obtained, which solves the problem of meaningless value calculated from the production scale, and makes the result fit the actual production;By constructing the corresponding relationship between dry ash-free basis volatile value and comprehensive evaluation value, the target volatile value is quickly determined to solve the defects of high cost and long cycle in the prior art for determining the best volatile value of blending coal.

The application discloses a kind of road speed limit level mining method and system considering adjacent road section information.It includes: data preprocessing: carry out road network topology processing, trajectory data cleaning and map matching;Multi-modal feature design: analysis and mining the multiple, multi-order complementary features of road network and trajectory data about road speed limit, form a high discriminant description feature set about road speed limit, as the basis and basis for identifying road speed limit;Road speed limit mining: comprehensively consider the road network features, trajectory features of current road section, left and right adjacent road section, consider high and low speed information, carry out the level mining of road speed limit.Compared with single feature, the integrated road network and trajectory feature improves the accuracy of road speed limit identification;Compared with only considering the target road section for road speed limit identification, considering spatial adjacent information for road speed limit identification has better effect;Compared with directly identifying road speed limit, the road speed limit identification method considering high and low speed information has higher accuracy.

The invention relates to the technical field of communication, in particular to an unmanned aerial vehicle group formation control method and system, computer equipment and a storage medium. The formation control method of the unmanned aerial vehicle group comprises the following steps: calling a target tether tension observer to determine target tether tension of unmanned aerial vehicles; wherein the target tether tension observer is obtained by correcting an initial tension observer through estimated tether tension and actual tether tension obtained through actual measurement, and a tension error between the actual tether tension and the estimated tether tension is smaller than a preset tension error; acquiring event triggering symbols of the unmanned aerial vehicles, and if the event triggering symbols meet a preset event triggering mechanism, triggering communication between the unmanned aerial vehicles; and triggering a formation controller and the target tether tension according to a pre-configured event to control each unmanned aerial vehicle to perform formation flight. The formation control method of the unmanned aerial vehicle group is more stable, lower in energy consumption and smaller in system calculation amount.

The invention belongs to the technical field of model collaborative analysis, and discloses an industrial AI intelligent all-in-one machine system based on multi-model collaboration and private deployment. Comprising the following steps: subscribing a beat trigger signal, a scanning count, a workpiece identifier and a station identifier by a slave controller, and generating a corresponding beat period token; generating a periodic data frame for binding the workpiece identifier and the station identifier; a multi-model reasoning task queue is generated by analyzing the sequence of data, needing to be read, of different models in a periodic data frame on a time boundary; performing timeout judgment on different reasoning tasks in the reasoning task queue, generating a time limit evidence packet, and performing model arbitration on the time limit evidence packet by analyzing the consistency of a control period and a workpiece identifier in the evidence packet to obtain a period decision; and encoding the periodic decision result into a control instruction packet with a periodic token and an instruction serial number, and issuing the control instruction packet to a controller. According to the method, the problems of late instruction execution, cross-cycle execution, wrong object fusion and wrong object execution are solved.

A liquid cooling plate for a drive motor controller includes a controller housing. A heat dissipation substrate is provided inside the controller housing, and the heat dissipation substrate and the controller housing are sealed to form a liquid cooling plate channel. An IGBT module is disposed on the upper surface of the heat dissipation substrate, and a heat sink corresponding to the IGBT module is disposed on the lower surface of the heat dissipation substrate. The heat sink is located within the liquid cooling plate channel. The liquid cooling plate channel includes two channel regions: a first channel region and a second channel region, extending from the channel inlet to the channel outlet. Each channel region corresponds to a half-bridge of the IGBT module. The parameters of the liquid cooling plate channel satisfy the following relationship: