12results about How to "Accurate discovery" patented technology

The invention discloses a segmented quantitative analysis method for uplift pressure of a gravity dam. The uplift pressure of the gravity dam is influenced by various factors, and safety monitoring data of the gravity dam often have the problems of multiple collinearity and small samples. The method comprises the following steps: introducing a BFAST time sequence decomposition method, decomposing original uplift pressure monitoring data into a trend component and a seasonal component, and obtaining trend segment points and seasonal segment points; a Bayesian model average modeling method integrating Bayesian model selection is introduced, and a gravity dam uplift pressure statistical model is established in a segmented mode; and finally, upstream and downstream water pressure components of the uplift pressure are separated according to the average multiple models, and quantitative analysis of the uplift pressure of the gravity dam is achieved. According to the method, more accurate fitting and component separation effects can be obtained, and accurate quantitative analysis of the uplift pressure of the gravity dam can be realized.

The invention provides an unmanned aerial vehicle cluster collaborative inspection method and system for an ultra-high voltage power transmission line, relates to the technical field of power transmission line operation and maintenance, and solves the limitation problems of low collaborative efficiency, difficulty in data synchronization and the like of the current unmanned aerial vehicle cluster technology in line inspection. The method comprises the following steps: firstly, establishing a line three-dimensional digital twinborn model, dividing a to-be-patrolled line into a plurality of patrolling areas, and planning an initial patrolling path for each unmanned aerial vehicle in an unmanned aerial vehicle cluster; the unmanned aerial vehicles are classified into main unmanned aerial vehicles, detection unmanned aerial vehicles and operation unmanned aerial vehicles, the detection unmanned aerial vehicles collect environment information in advance according to the initial patrol path, and the main unmanned aerial vehicles dynamically adjust the flight path of the operation unmanned aerial vehicles accordingly; the operation unmanned aerial vehicle performs preprocessing and standardized packaging on the collected multi-source data, and a formed data packet is uploaded to the cloud platform by the main unmanned aerial vehicle to analyze and identify line defects. The system has the advantages and characteristics of full coverage, high efficiency and high precision of ultra-high voltage transmission line inspection.

This invention provides a method for identifying low-speed, small targets using radar echoes based on optical flow. The method includes receiving radar echo data in real time and redrawing the images to form a series of multi-frame radar echo images; using the pyramid LK optical flow method, sequentially performing layered analysis on the formed multi-frame radar echo images to obtain the optical flow vector of each frame; comparing the optical flow vectors of each frame to determine dynamic and static targets in each frame; and based on the dynamic and static target identification results fed back by the radar, determining whether one or more dynamic targets in each frame have not been identified by the radar. If so, the unidentified dynamic targets in each frame are considered low-speed, small targets before being acquired. Implementing this invention solves the problem of insufficient radar detection capability for low-speed, small targets and improves target acquisition efficiency.

This invention provides a method and apparatus for event detection in a video surveillance system. The method includes: acquiring core process information of each primary and backup server in the video surveillance system, wherein the primary and backup servers include a primary server and a backup server with a redundant backup relationship with the primary server; determining whether a primary / backup switchover event exists for each of the primary and backup servers in the video surveillance system based on the core process information at the previous moment and the core process information at the current moment; and generating a corresponding event detection result based on the primary / backup server where the switchover event occurred if there is a primary / backup server in the video surveillance system. This invention effectively solves the problem of low efficiency in manual event detection and can detect primary / backup switchover events more promptly and accurately.

The application belongs to the technical field of geotechnical engineering construction, and specifically provides a disordered high fill site pre-ramming and humidification and dynamic compaction combined construction method, which comprises the following steps: 1) detecting cracks and cavities in the target site; 2) pre-ramming to eliminate cracks and cavities in the target site; 3) water injection and humidification of the target site after pre-ramming; and 4) dynamic compaction construction of the humidified target site until the requirements are met. The application solves the problems of uneven humidification and poor reinforcement effect in the existing dynamic compaction foundation treatment of disordered high fill soil sites, avoids the problem of uneven water injection and humidification caused by uneven upper and lower strata, and has the characteristics of good treatment effect, fast construction speed and small residual settlement.

This invention relates to the field of measurement and provides a shoe sole measuring mechanism, including a chassis frame and a lifting rod. A slide rail is mounted on the top surface of the chassis frame, and a baffle is also mounted on the chassis frame. A push plate is mounted on the slide rail. A slider that moves vertically is mounted on the lifting rod, and a groove is provided on the baffle. The baffle has a first scale, and the chassis frame has a second scale. The slide rail drives the push plate to move, and in conjunction with the data on the second scale, the length of the shoe sole is obtained. Then, by adjusting the lifting rod, the slider's horizontal height is changed, and in conjunction with the first scale, the height of the forefoot tilt of the shoe sole is obtained. This acquisition of key shoe sole data allows for the determination of whether there are errors in the shoe sole produced by the mold, achieving the purpose of inspection. Simultaneously, the shoe sole measuring mechanism has high flexibility, can adapt to different shoe sole models for measurement, and obtains accurate measurement data, solving the problem of cumbersome manual or simple tool measurements.

The invention discloses a verification method and system for a scientific calculation-oriented hybrid programming model, and relates to the technical field of information, and the method comprises the steps: carrying out the difference analysis of an original programming model and a high-performance programming model; performing initialization of physical parameters and calculation parameters and distributed topology on the original programming model; analyzing the original programming model by adopting a performance analysis tool to obtain a hotspot function; establishing a matching mapping mechanism of the original programming model and the high-performance programming model, and performing hotspot function transplantation; and constructing a verification function, carrying out hybrid compiling with the original programming model, respectively carrying out unit testing and integration testing, and outputting to obtain a verification result. Program vulnerabilities in the transplantation process can be found, and the overload workload of a large amount of output data manual comparison results is avoided. The method supports verification of various hybrid programming models, and can be used as an intermediate process method for conversion of two or more kinds of programming to verify correctness of target codes.

The invention discloses an electric drive system NVH dynamic test system and method based on XIL. The system comprises a driver-in-the-loop module, a real object-in-the-loop module and an NVH data acquisition system. The driver in-the-loop module is used for collecting a driver real-time operation signal and providing a virtual driving environment; the real object in-the-loop module receives a signal through a real-time simulation machine, and a co-simulation model is used for resolving vehicle dynamic operation parameters; and the rack system drives the dynamometer to apply a dynamic load to the tested electric driving system by adopting a composite control framework based on rotating speed closed-loop control and combined with dynamic compensation according to the parameters. By constructing a human-vehicle-road closed-loop coupling mechanism, the problem that transient load change in a complex driving scene cannot be reproduced in a traditional rack test is solved, working conditions such as urgent acceleration and braking can be simulated in a high-fidelity manner, vibration and noise response of an electric driving system in real dynamic operation can be accurately captured, and the reliability of the electric driving system is improved. And the authenticity and the effectiveness of the NVH test are obviously improved.

The invention discloses an electricity meter tamper-proof identification method and system based on a BERT model, and belongs to the technical field of electric power metrology, the identification method comprises the steps of preprocessing collected structured data and text data, respectively forming feature data and a text sequence, extracting [CLS] vectors according to the text sequence and the BERT model, and fusing the [CLS] vectors and the feature data to obtain an electricity meter tamper-proof identification result. Obtaining a feature vector; and inputting the feature vector into a trained classifier, outputting a risk probability and a risk type that the ammeter has a tampering risk, carrying out association analysis in combination with pre-obtained association information, and generating an alarm work order. According to the method, the structural data and the text data are fully utilized, so that the hidden tampering method can be found and captured more accurately, and an effective basis is provided for subsequent countering attacks. According to the invention, the corresponding response threshold is adjusted according to the associated information, so that a specific application scene can be more accurately adapted, and the alarm accuracy is improved.

The utility model relates to the technical field of energy storage, and specifically provides a heat management system for battery pack and energy storage system, aims at solving the problem of high energy consumption of the existing heat management system and leading to poor heat management effect. The heat management system of the application heat management system includes phase change heat pipe assembly, liquid storage component and spraying mechanism, the first heat exchange end of phase change heat pipe assembly is adjacent to the setting with battery pack and is used for heat exchange with battery pack, the liquid storage cavity of liquid storage component stores cooling liquid, at least a part of the second heat exchange end of phase change heat pipe assembly is soaked in cooling liquid, when the thermal runaway of battery pack occurs, the spraying mechanism can spray the cooling liquid in the liquid storage cavity to battery pack. The application can not only exchange heat between the cooling liquid in the liquid storage cavity and the second heat exchange end, thereby facilitating the heat management of battery pack, but also spray the cooling liquid to battery pack when the thermal runaway of battery pack occurs, without using both reducing energy consumption and improving safety.

The application discloses an intelligent industrial auxiliary design system and method based on virtual-real fusion, and belongs to the technical field of cross of artificial intelligence and material science. The system comprises a data layer, a model layer, a decision layer, an execution and verification layer and an application layer. The data layer is used for constructing and managing a hybrid material data set combining physical experimental data and generative virtual data. The model layer is integrated with an agent prediction model and a microstructure generation model, the former being used for predicting organizational features and uncertainty, and the latter being used for generating virtual data conforming to physical laws. The decision layer intelligently recommends the next batch of experimental conditions through a collection function based on uncertainty. The execution and verification layer drives physical experiments and feeds back verification data. The application layer provides visual analysis, optimal process window recommendation and data management functions. The levels cooperate to form an intelligent closed loop of "directional design-experimental verification-model optimization", and through active learning, the optimal process window of the material is quickly found at a minimum experimental cost.

The invention relates to the technical field of power system safety monitoring, and provides an intelligent power fire early warning system with a self-learning capability, which comprises a field sensing layer, a gateway layer, a server layer and an interaction layer, the field sensing layer comprises an electrical parameter acquisition module, a thermal parameter acquisition module and a fault feature acquisition module; the gateway layer comprises a data acquisition module which is responsible for collecting, converting, synchronizing and uploading data of each sensor of the field sensing layer; the server layer comprises a data processing module, a feature extraction module, a historical database, a self-learning analysis module, a disposal suggestion generation module and a man-machine interaction interface; the interaction layer comprises a linkage control interface and a user terminal. According to the invention, through two key technologies of multi-parameter fusion and closed-loop self-learning, two core defects of single monitoring dimension and static stiffness of an early warning model of a traditional power fire early warning system are fundamentally solved.