22results about How to "Improve search speed" patented technology

The application discloses a multimedia resource search method, related device and vehicle, and relates to the field of human-computer interaction. When a user performs resource search, it is first judged whether there is a running multimedia application. When it is judged that there is a running multimedia application, it is further judged whether to perform search in the multimedia application according to the obtained search voice content. When it is judged that search is performed in the multimedia application, the multimedia application is directly called to perform in-application search according to the search voice content, so that the searched multimedia resource is more consistent with the user's expectation, the user's use experience is improved, the search speed is improved due to the direct search in the application, and the user's use experience is further improved. When it is judged that there is no running multimedia application, search can be performed in a media resource library outside the multimedia application, so that the user's resource search demand is met, and the user experience is ensured.

This invention discloses a data storage method and system based on a scalable multidimensional learning index structure, belonging to the field of computer data storage. This system fully utilizes storage characteristics to organize data into memory and disk, significantly reducing disk I / O with minimal memory usage, accelerating data search speed, and supporting data expansion. This invention can be applied to multidimensional data indexing, typically represented by geospatial data, meeting the need for rapid multidimensional key searching in the high-dimensional key space of such data.

The application discloses a model management method and device, the method comprises the following steps: obtaining a first model, editing the first model based on a first input, and saving the edited first model as a first template, the first input is used for adding running dependency files corresponding to N first modules respectively, the running dependency files store parameter information of at least one simulink model, at least one second model is created according to the first template, and nodes corresponding to modules at all levels of the second model are displayed on a model configuration interface of the second model, in response to a second input to a node corresponding to a target module in the N first modules, the target module is updated based on parameter information of a target simulink model, and the target simulink model is a simulink model matched with the target module. According to the embodiment of the application, the difficulty of finding the to-be-replaced module in the model can be reduced, and the finding and replacing efficiency can be improved.

The application provides a battery group arrangement equalization strategy optimization method based on a QTA-TLBO double-layer multi-objective algorithm, which comprises the following steps: establishing an upper-layer battery group optimization model comprising an upper-layer optimization objective function and an upper-layer optimization constraint condition, and obtaining an optimal single cell arrangement structure of the battery group; establishing a lower-layer battery group optimization energy scheduling model comprising a lower-layer optimization objective function and a lower-layer optimization constraint condition, and obtaining an optimal equalization strategy of the battery group; establishing a coupling optimization model between the upper-layer battery group single cell arrangement structure and the lower-layer battery group equalization strategy; and using the proposed quantum tunneling annealing-teaching and learning double-layer multi-objective optimization algorithm to optimize and solve the model, so as to obtain an optimal grouping scheme of the battery group and an optimal equalization strategy of each cycle. Through the application, the reasonable arrangement of the single cells of the battery group can be obtained, the long-term reliable operation of the battery group can be realized, and the energy scheduling strategy of the battery group between the single cells can be planned, so that the maximization of battery energy utilization is realized.

This invention belongs to the field of thermal power unit automation control technology, and discloses a configuration batch replacement method and related device based on hash caching technology. The configuration batch replacement method includes: reading a modified measurement point mapping table to obtain all source KKS and target KKS; updating the original hash table cached in memory based on the obtained source KKS and target KKS to obtain an updated hash table; traversing the updated hash table to perform configuration batch replacement; wherein, during configuration replacement, location information is obtained through the measurement point type, and then the source KKS in the indexed variable is replaced with the target KKS through the location information index variable. This invention can achieve fast and accurate replacement of KKS within the configuration, helping engineers to perform efficient configuration design; this invention solves the technical problems of slow configuration replacement speed and high system resource consumption in existing technologies, and has high engineering application value.

The application discloses a kind of based on three-dimensional voxelization map small unmanned aerial vehicle fine inspection path planning method, system, setting and medium, it is related to unmanned aerial vehicle control technical field, the method includes: S1: three-dimensional voxelization modeling is carried out to inspection object and environment, and safety inflation processing is carried out to obstacle;S2: the original inspection view point set is clustered and clustered, and the view point in clustering cluster is sorted according to S type path order;S3: the three-dimensional A* algorithm of optimization is used to generate collision-free polyline path;S4: the line path generated in step S3 is smoothed using line-of-sight algorithm, removes redundant node, generates smooth flight trajectory;S5: the path point after smoothing is converted from local model coordinates to WGS84 latitude and longitude coordinates using decoupling fitting strategy based on control point, generates the GPS waypoint sequence executable by unmanned aerial vehicle.The method provided by the application can solve the problems of unsafe path planning during inspection, low inspection point traversal efficiency, non-smooth flight path and the like in the prior art.

The application provides a UAV group sensing method for city monitoring data time delay guarantee, comprising the following steps: a main process of a scheduling center creates a data time delay and a trajectory pool; the scheduling center starts a plurality of sub-processes for simulating city monitoring data generation and time delay updating; a UAV group collects simulated trajectories according to a current sensing strategy; the simulated trajectories are evaluated; the scheduling center optimizes the sensing strategy by using an asynchronous backtracking algorithm according to data of the data time delay and the trajectory pool, and synchronizes the optimized sensing strategy to each sub-process; until the UAV group sensing strategy no longer changes, the optimal sensing strategy is obtained; the UAV group is dynamically scheduled to guarantee city monitoring data time delay; the method is suitable for participating in a task sensitive to a time threshold, and therefore, compared with a traditional guarantee task, the UAV can be used to participate in city monitoring data time delay guarantee tasks to improve the completion satisfaction of the task.

This invention discloses a method for obtaining K shortest paths in a city that considers real-time traffic conditions, comprising: 1. Constructing a city road network based on traffic information at the initial time; 2. Defining and initializing parameters; 3. Searching for the k-th shortest path from the starting intersection node to the ending intersection node at the current time; 4. Searching for the (k+1)-th shortest path from the starting intersection node to the ending intersection node at the current time; 5. Obtaining the K shortest paths from the starting intersection node to the ending intersection node at the next time after updating traffic conditions, based on real-time traffic conditions. This invention can obtain K optimal travel paths that better reflect actual traffic conditions while improving computational efficiency, thereby ensuring the stable and efficient operation of social traffic.

The application provides an improved tabu search topology optimization method of a marine wind farm power collection system, which is based on the positions of wind turbines to intelligently preliminarily group and sort, to form an initial connection scheme, to connect all the wind turbines in each group with the minimum cost, to calculate the group cable cost, to check whether the lines cross, to impose a penalty in the total cost if the lines cross, to ensure that the scheme is feasible, to compare the current scheme with the historical best, to update the record and intelligently exchange the wind turbine groups to explore a new scheme, to repeat the optimization process until the number of iterations is satisfied, and to finally output a globally optimal topology scheme. The application has the advantages of better optimization effect, significantly improved economy, higher calculation efficiency, stronger engineering practicability, better algorithm robustness, better scheme reliability, high design automation degree and strong auxiliary decision-making capacity.

The invention discloses a gravitational lens gravitational wave pairing method and system based on deep learning, and the method comprises the steps: obtaining time sequence strain data of a gravitational wave detector, carrying out the frequency domain whitening processing of the data, converting the data back to a time domain, and carrying out the interception to obtain a whitening strain fragment with a fixed length; inputting into a twin encoder; selecting a plurality of other events with the highest similarity for each gravitational wave event based on the cosine similarity between the feature vectors to form a candidate pairing set; a generalized cross-correlation-phase transformation algorithm is adopted to calculate waveform cross-correlation, and refined similarity scores and relative time delay estimation between event pairs are obtained; and constructing a weighted graph, and obtaining a final pairing result by solving the maximum weight matching of the graph. According to the method, dimension reduction is carried out on the high-dimensional time domain data by using the twin encoder, and full-amount pairwise comparison on directories is avoided through a coarse screening strategy, so that the search speed on a large-scale data set is greatly improved.

The application belongs to the field of communication measurement and control, and particularly relates to a measurement and control transponder system and equipment for quickly and reliably capturing a mixed spread spectrum signal, and aims to solve the problem of insufficient system precision and weak reliability. The application comprises a digital down-conversion module for receiving a signal and performing digital down-conversion processing on the signal; a direct spread code capture module for capturing the zero intermediate frequency signal and performing modulation to obtain a spread spectrum signal; a frequency hopping interval division module for dividing the bandwidth of the spread spectrum signal into N parallel frequency hopping intervals according to a frequency hopping pattern; a matched filter module for filtering the signal and performing N-point Fourier operation; a capture decision module for comparing the code phase with a threshold value, and if the threshold value is exceeded, determining that capture is successful; and a synchronization refresh module for performing dynamic refresh through a synchronization refresh algorithm. The application improves the capture speed and reliability of the measurement and control transponder.

This invention discloses a UAV state estimation method based on a two-stage search, relating to the field of low-altitude sensing and control technology. The method includes: constructing a three-dimensional reference coordinate system for a substation area, a set of no-entry flight zones, and a constraint grid table; generating an environmental constraint data packet; configuring and transmitting OTFS sensing frames based on the environmental constraint data packet, acquiring echo sequences, performing time synchronization, frequency offset correction, static clutter suppression, and frequency domain pre-whitening processing to generate a weighted observation sequence and a gridded environmental cost table; performing a coarse search using two-dimensional orthogonal matching pursuit under environmental constraints to obtain a unique candidate state group; performing a continuous domain fine search based on the unique candidate state group to complete position and velocity correction and generate current cycle state data; and generating initial state data for the next cycle based on the current cycle state data. This invention balances search efficiency and estimation accuracy through a two-stage search; and improves the accuracy of UAV state estimation through precise time delay and precise Doppler fitting.

The utility model discloses a bedside table convenient for placing articles, which relates to the technical field of bedside tables and comprises two groups of fixing plates. A bottom box is jointly connected between the two groups of fixing plates, and a placement cabinet is arranged above the fixing plates. The bottom box is connected between the two sets of fixing plates, the bottom box can be used for containing objects which are not commonly used, the sliding rods slide in the sleeve rods, meanwhile, the telescopic plates slide in the fixing plates, and therefore the height of the containing cabinet is adjusted, and after the containing cabinet is adjusted to the proper height, the limiting screws are inserted between the sliding rods and the sleeve rods, and the objects can be placed conveniently. The relative positions of the sliding rod and the sleeve rod are fixed; then the limiting frame is pulled, the limiting frame can serve as a handle, articles on the top plate can be protected and prevented from falling off, the top plate slides relative to a sliding block of a sliding groove, when the sliding block slides to the end close to the limiting plate, limiting is conducted through the limiting plate, and therefore the top plate is prevented from falling off from the containing cabinet.

The application provides a distributed blocking flow shop scheduling optimizer driven by a learning mechanism, and proposes a distributed estimation algorithm applying reverse learning and differential evolution to optimize energy-saving distributed blocking flow shop scheduling. The application fully considers the energy consumption in actual production, and designs an initialization method considering total delay time and total energy consumption; in order to improve the quality of the population, a multi-population collaborative operation guided by reinforcement learning and reverse learning is designed, information interaction is realized through the multi-population collaborative mode, and the search speed is accelerated. Based on the specific characteristics of different populations, adjustable parameter variables meeting the exploration and development capacity are designed. In order to optimize the distributed blocking flow shop scheduling problem with the objective function of reducing total delay time and total energy consumption, acceleration and deceleration operations on different paths are proposed. Through comparison on the 2017 test set and examples composed of different numbers of machines, workpieces and machine arrays, the overall performance of the optimizer is better than that of other optimizers.

The invention provides a method for searching a target high-quality semiconductor material based on lightweight and heavy neural networks and a related device, and belongs to the technical field of high-quality semiconductor material positioning. The method comprises the following steps: acquiring an original microscopic image of an uncompressed target high-quality semiconductor material; inputting an original microscopic image of an uncompressed target high-quality semiconductor material into the trained lightweight neural network to obtain a potential target area; inputting the potential target area into the trained heavy-weight neural network to obtain the size or thickness of the target high-quality semiconductor material; and determining coordinates of the target high-quality semiconductor material according to the size or thickness of the target high-quality semiconductor material. According to the method, the problems of low speed and low precision of searching the target high-quality semiconductor material are solved.

The utility model relates to the technical field of clothing, and discloses a cold protective clothing with a heating function, which comprises a coat, a lining and a heating component, the coat is detachably connected with the lining, the heating component is arranged between the coat and the lining, and the heating component is detachably mounted on the lining. By arranging the heating assembly, the heating assembly is divided into a left area, a right area and a neckline area, when a certain position of the heating assembly is damaged, a user can quickly determine the area where a damaged point is located according to the temperature of the certain area, the user does not need to search the whole body, and therefore the searching speed is increased, and the overhauling efficiency is improved; through an independent working mode, the three areas do not influence one another, and even if a certain area is damaged, the other areas can still be normally heated; the upper body of the user can be uniformly heated and warmed in all directions, the limitation of movement of the user is avoided, and the heating effect is good; and through the arrangement of the coat pocket, the mobile power supply is not easy to shake off when the user exercises.

The application relates to the technical field of Internet of Things warehouse management, and discloses a warehouse data comprehensive management system, method, equipment and medium based on the Internet of Things, which is characterized in that: firstly, warehouse basic environment and main body modeling are carried out, including establishing a warehouse grid map, an AGV cluster and a task set model; a global space-time occupation ST(v, t) table is constructed according to AGV empty running rate, conflicts, delays and energy consumption, and a multi-objective optimization function is constructed; the generated AGV carrying tasks are sorted according to priority and deadline, and the tasks are auctioned according to task application values, the tasks with larger application values obtain the tasks, and space-time resources are locked; lower local re-planning is carried out, the AGV obtaining the tasks travels along a pre-planned space-time path, and periodic detection is carried out during path execution, whether obstacles / conflicts / lockups or task changes appear is judged, and a new path is generated in combination with the global ST(v, t) table and real-time obstacles. The application solves the contradiction of multi-AGV collaborative task conflicts, and avoids the problem that traditional algorithms can only stop or invalidly bypass when encountering lockups, so that the overall efficiency is low.

This application relates to the field of rescue technology and provides a water rescue method, system, and storage medium, including: performing a preliminary search based on a location to be searched to determine a target area, wherein the location to be searched is a suspected location where a rescue target may exist, and the target area is an area where the rescue target is preliminarily determined to exist; releasing an intelligent lifebuoy on an unmanned surface vessel (USV) in the target area, wherein the intelligent lifebuoy includes a camera device; receiving first video data transmitted by the intelligent lifebuoy, wherein the first video data is video data collected by the camera device of the intelligent lifebuoy; and transmitting the first video data to a rescue platform. This application can improve the accuracy and efficiency of water rescue.

The application discloses an HMI information collection management method, device and equipment and a storage medium, the method obtains a dragging length after detecting that a dragging action of a progress bar control of an HMI display interface is released, determines the attention degree of current information according to the dragging length, acquires keywords of the current information, constructs a full list of all information and a target list corresponding to the current information according to the keywords, acquires the appearance frequency of each keyword in a collection folder of a current user and the time interval of each information from the current time, determines the collection search order of the target list in the collection folder according to the attention degree, the appearance frequency and the time interval, can reduce the time consumed when information collection search is browsed, accelerates the information search speed, improves the user experience, and improves the speed and efficiency of HMI information collection management.

The application provides a data mapping transformation method and device, electronic equipment and a storage medium. The data mapping transformation method comprises: obtaining a mapping table associated with a point selected on a first axis of a real curve, the mapping table comprising a first axis value and a second axis value corresponding to the first axis value, the first axis value being a value of the point on the first axis, and the second axis value being a value of a point corresponding to the point on the real curve and mapped on a second axis intersecting the first axis; encoding input data to determine that the input data is located in a first axis value interval corresponding to the first axis value in the mapping table; and performing interpolation calculation based on the first axis value interval and the mapping table to obtain a second axis mapping value of the input data on the second axis of the real curve. The application improves the accuracy and speed of data mapping transformation, and saves hardware resources.

Embodiments of the present specification provide a map matching method and device and a storage medium. The method comprises: acquiring a to-be-matched map; inputting the to-be-matched map into an image segmentation model to obtain a plurality of image segmentation mask graphs; determining, from the plurality of image segmentation mask graphs, a plurality of target mask graphs greater than a threshold value; performing positive and negative binaryzation processing on each target mask graph to obtain a positive and negative binaryzation mask graph; for each standard map in a preset standard map library, acquiring a standard map mask graph and a size of the standard map mask graph; generating a new positive and negative binaryzation mask graph of each target mask graph according to the standard map mask graph and the size; matching the generated new positive and negative binaryzation mask graph with the standard map mask graph based on an image matching model to respectively output a point pair of each target mask graph and the standard map mask graph; and determining a standard map matched with the to-be-matched map according to the most point pairs. The present application can realize intelligent matching of maps.