34results about How to "Quick match" patented technology

The application discloses an article recommendation method and related device, and relates to the field of article recommendation. According to the article ID contained in the article recommendation request, a positive query result is obtained. If the positive query meets the first missing level, and the incremental benefit evaluated based on the article recommendation scene data is not less than the first benefit threshold, a semantic vector is generated according to the article key field to recall a first group of candidate articles similar to the current article from a vector library, a second group of candidate articles corresponding to the current article is recalled from other multiple different databases, multi-dimensional feature fusion evaluation and sorting are performed on each candidate article, and the top N articles are selected as recommended articles. The application reduces invalid filling of low-value recommendation requests through information missing level and incremental benefit evaluation. When the positive feature is missing, candidate articles are recalled from the vector library and multiple different databases outside the vector library, multi-dimensional feature fusion evaluation and sorting are performed on each candidate article, and article recommendation is realized.

The invention relates to the technical field of data transmission, in particular to a processing and risk assessment method and device for mass files and asset data and a medium, and the method comprises the steps: dividing to-be-processed mass files and asset data into a plurality of data clusters; based on a duration evaluation algorithm and a risk evaluation model, calculating the expected total processing duration and the risk level of each data cluster, and processing each data cluster according to the expected total processing duration and the risk level; performing real-time feature extraction and vectorization representation on the asset data, and matching asset features with a risk information feature library to identify and evaluate the risk of the asset features; when it is monitored that the data cluster transmission state or asset data analysis is abnormal, an auxiliary processing thread is started to continue executing the next task in the data cluster, the average processing speed of the corresponding data cluster is updated, and the total processing duration of the remaining tasks is evaluated again. Therefore, the data processing efficiency and the data security of the power system are improved.

The application discloses a kind of full-process supervision systems based on visual offline identification, and the application relates to component production technical field, it is solved that existing technology mostly stays in single size comparison level, lack of the problem of full-process integrated supervision mechanism from model generation, standard matching, automatic splicing to assembly verification, the unified check feature of the present application is constructed by built-in midpoint, plane midpoint and feature vector, corresponding three-dimensional standard model can be matched from model database quickly and accurately, the identification logic is stable, and the anti-interference is strong, effectively avoid the model mismatching problem caused by similar appearance;Through the vector comparison of reference feature and component feature, length difference and included angle calculation, the assembly accuracy can be quantitatively judged, and the assembly standard, correctable and substandard state can be distinguished, the visualization and digitization of assembly quality are realized, the on-site quick error correction and traceability are facilitated, and the assembly reliability and overall production quality of flow line are effectively improved.

The invention relates to the technical field of operation efficiency evaluation, in particular to a civil aviation autonomous operation efficiency evaluation method, which comprises the following steps: acquiring operation information historical data which comprises operation information accumulated in the civil aviation operation process; multiple historical models are established based on the operation information historical data, each historical model is used for representing different autonomous operation scenes of the civil aviation, and each autonomous operation scene comprises a corresponding reference efficiency index; obtaining to-be-evaluated operation information, matching the to-be-evaluated operation information with a plurality of historical models, and obtaining a current autonomous operation scene; calculating an actual efficiency index corresponding to the current autonomous operation scene according to the to-be-evaluated operation information; performing visual comparison display on the actual efficiency index corresponding to the current autonomous operation scene and the reference efficiency index; the civil aviation operation efficiency can be comprehensively evaluated.

The invention relates to the technical field of bridge brackets, and discloses a cable bridge bracket, which comprises a mounting column, and further comprises two mounting parts which are both mounted on the mounting column; the replacement part is arranged on the mounting column; the adjusting part is mounted on the mounting column; the mounting part comprises a connecting assembly, and the connecting assembly is mounted on the mounting column; the fixing assembly is arranged on the connecting assembly; the connecting assembly comprises a first mounting groove formed in the mounting column. By arranging the mounting part, the problems that in the using process of an existing bridge bracket, due to the fact that static loads of a cable bridge and a cable and environmental vibration loads are borne for a long time, the thread meshing position is loosened, the extrusion force between an expansion pipe and the hole wall is gradually attenuated, and consequently displacement and gaps are generated between the mounting part and a reserved opening, and the service life of the cable bridge bracket is prolonged are solved. And the risk of inclination, sagging and even falling off of the bridge can be caused in severe cases.

The invention relates to a receiving and sending standard information determination method and device, computer equipment, a computer readable storage medium and a computer program product, and can be applied to the technical field of computers. The method comprises the following steps: selecting target attribute information matched with attribute information of a to-be-sent object from attribute information of a preset object; determining target receiving and sending standard text information corresponding to the target attribute information according to a mapping relationship between the attribute information of the preset object and preset receiving and sending standard text information; and determining target receiving and sending standard information of the object to be sent according to the target receiving and sending standard text information. By adopting the method, the efficiency of determining the receiving and sending standard information can be improved.

The utility model discloses an electrode slice for rapidly identifying and matching electrocardiograph monitoring lead, which relates to the field of medical equipment and comprises a contact electrode slice, an adhesive layer is annularly arranged on the outer side of the contact electrode slice, a handheld part is arranged at the edge of the adhesive layer, a protective film is adhered to the outer side of the adhesive layer, and the protective film is partially positioned between the contact electrode slice and the adhesive layer. The surface of the protective film is coated with coatings with different colors; according to the electrode slice for rapidly identifying and matching the electrocardiograph monitoring lead, the outer surface of the protective film is coated with the coatings with different colors, so that the identification of the electrode slice is matched with the color of an electrocardiograph monitoring electrode, and the rapid matching of the electrode slice and the electrocardiograph monitoring electrode is realized; a detected person or an accompanying person or a medical worker can quickly connect the electrocardiograph monitoring electrode with the corresponding electrode slice according to the corresponding colors of the electrocardiograph monitoring electrode and the electrode slice, so that connection errors are avoided, and the integrity and correctness of detection data are enhanced.

This invention relates to a gear welding device and method for a press, belonging to the field of press manufacturing. The technical solution is as follows: A gear welding device for a press includes a work platform with a ground rail. A transfer trolley is movably mounted on the ground rail to carry the gear to be welded. Positioners are mounted on both sides of the ground rail, each equipped with a rotatable gripper. A gantry frame is also mounted on the work platform, spanning the ground rail. A welding robot is movably mounted on the gantry frame, its movement direction being horizontal and perpendicular to the ground rail. The welding robot is equipped with a machine vision module. This solution, through the positioner grippers, can precisely achieve 180° rotation of the gear, providing a stable posture adjustment basis for double-sided welding. The welding robot, combined with the machine vision module, enables automated and high-precision acquisition of weld information, providing data support for intelligent welding path planning.

The embodiment of the invention provides a reliability detection and model automatic training method for a sealing structure of a wellhead. The method comprises the steps of obtaining a size data set of the sealing structure; the size data set comprises a plurality of size data; the size data represents information of a physical structure of the sealing structure; performing matching processing on the size data set and a data set in a preset model library to obtain multiple groups of matched data sets; determining an initial model corresponding to the matched data set based on a preset model library; based on a Bayesian optimization algorithm, processing the size data set and each initial model to obtain a reliability detection model; the reliability detection model is used for processing the size data of the sealing structure to obtain a reliability detection result of the sealing structure. The method is used for achieving the effect of accurately and effectively detecting the reliability of the sealing structure.

The application discloses a kind of track connection optimization methods of section multi-radar detection area, overcome the single radar detection range not full in prior art, cannot obtain the complete trajectory of vehicle on intermediate section, and the trajectory obtained is prone to jump problem, comprising the following steps: S1: selecting radar layout point, define radar connection area;S2: obtain the target trajectory set detected by radar, the target trajectory set is filtered, and the target trajectory set after deduplication is obtained;S3: whether the target trajectory set after deduplication is multi-radar connection area, according to the judgment result carries out the same radar trajectory connection or multi-radar trajectory connection;S4: traverse all target trajectories, analyze the remaining candidate trajectory, and obtain the complete trajectory of section.The same radar trajectory connection and multi-radar trajectory connection are carried out by arranging radar in intermediate section, the complete trajectory information of vehicle in intermediate section is obtained, high accuracy, fast matching, and jump is effectively prevented simultaneously.

This application discloses an online calibration method and apparatus for sensors of autonomous vehicles. The method includes: determining whether the driving lane of the autonomous vehicle meets online calibration conditions; when the online calibration conditions are met, acquiring road image data collected by the autonomous vehicle's camera and laser point cloud data collected by the LiDAR, performing target detection on the road image data and laser point cloud data to obtain image-detected targets and point cloud-detected targets; determining whether the image-detected targets and point cloud-detected targets are the same target; when they are the same target, acquiring first feature point data of the image-detected target and second feature point data of the point cloud-detected target, performing matching calculations on the first feature point data and second feature point data to obtain the online calibration result between the camera and the LiDAR. The technical solution of this application can quickly and accurately complete the online calibration of sensors of autonomous vehicles.

The utility model relates to the technical field of tea leaf forming processing discloses a tea ball dragon ball secondary pressure setting mechanism, design includes carousel, pressure setting mechanism and guide strip, the carousel evenly has a plurality of pressure setting mechanisms, a plurality of pressure setting mechanisms along the rotation center of carousel evenly annular arrangement, the pressure setting mechanism includes gyro wheel, push -and -pull integrated pole and first hemisphere mould and second hemisphere mould, the first hemisphere mould with carousel between relative fixed, the second hemisphere mould with push -and -pull integrated pole relative fixed, push -and -pull integrated pole far from the one end of carousel rotatoryly be equipped with gyro wheel, when the pressure setting mechanism rotates to guide strip one side, the gyro wheel with guide strip contact. The hemisphere mould of different ball diameter can realize quick matching and replacement according to the connecting sleeve, and the mould is simple and low in cost, the utility model shortens the die changing debugging time from 5 to 8 hours to 5 minutes, and the efficiency is improved by more than 60 times.

This invention relates to a method for optimizing the design and printing of file boxes based on an electronic archive system, belonging to the field of data processing. The method involves downloading a set of electronic archives with file box identifiers, performing file box shape and size clustering to obtain a first-level file clustering result; clustering the file box cover patterns within the first-level clustering result to obtain a second-level file clustering result; clustering the cover pattern layout positions within the second-level file clustering result to obtain a third-level file clustering result; initializing the electronic archive system based on the third-level file clustering result; receiving images of files to be packaged uploaded by the user; traversing the electronic archive system to match files and obtain matching file categories; when the matching file categories are the same, designing and printing file boxes based on the category file box identifier. This method solves the technical problem of low actual production efficiency and insufficient systematic management caused by the inability to achieve automated customized printing of file boxes.

This invention relates to the field of e-commerce data processing technology, specifically to a method and apparatus for multi-platform e-commerce order aggregation based on dynamic clustering rules. The technical solution includes: collecting order data from e-commerce platforms and performing standardized processing to obtain platform order data; extracting various clustering feature values ​​from a clustering feature system; matching these values ​​with rules in a dynamic clustering rule set to determine the candidate cluster to which the order belongs; calculating the comprehensive similarity between orders; determining whether the comprehensive similarity is greater than or equal to a preset similarity threshold, and assigning the order to that cluster; performing missed order detection for orders not clustered; and outputting the order results for the clusters. This significantly improves clustering accuracy, effectively reduces missed orders, and minimizes operating and transportation costs. It also significantly improves order processing efficiency, adapting to the needs of large-scale order processing. The system operates stably and supports efficient processing of massive amounts of data.

The utility model relates to the technical field of tool clamps, and provides a clamp for machining a brake fixing clamp, which comprises a mounting seat. The bridge plate is rotationally arranged on the mounting seat, and the bridge plate can vertically swing to enable the fixing clamp on the first mounting surface or the fixing clamp on the second mounting surface to face upwards; the quick-change module is connected to the first mounting surface and the second mounting surface through at least two ball lock connecting pieces; the first installation face and the second installation face are each provided with at least one abutting assembly, and each abutting assembly comprises at least two abutting swing arms which are connected to the bridge plate in a swing mode and used for abutting against the fixing clamp to the first installation face or the second installation face. By means of the technical scheme, the technical problem that in the prior art, a clamp is single in compatibility is solved.

This invention discloses a full-angle recognition device for a verification platform, comprising a part for collecting expiration date and batch number information and a part for collecting drug appearance information features. The part for collecting expiration date and batch number information includes one grayscale machine vision camera, one set of infrared photoelectric triggers, and five strip auxiliary light sources. The part for collecting drug appearance information features includes one color machine vision camera, two auxiliary light strips, a warning light strip, and a transparent drug verification platform. This invention employs a combination of color and grayscale machine vision cameras, assisted by light sources, to achieve effective image acquisition of drugs and rapid matching of multi-point information. It can simultaneously and quickly complete the verification of drug type, expiration date, and batch number. Furthermore, the high-performance processor significantly improves the device's operating speed and ensures its reliability.

The application provides a security conflict detection and elimination method for weighted bipartite graph matching. Firstly, the method uses the order-revealing encryption to encrypt the weight data of the bipartite graph, so that the edge server can compare the data size without obtaining the data plaintext. Secondly, the method uses the secret sharing technology to split the weight value into two share weight values, so that any edge server cannot obtain the complete weight value in the conflict elimination process. Finally, the method designs a secure conflict detection and elimination algorithm based on the idea of the greedy algorithm, and iteratively compares the conflicts through the multi-edge server cooperation mode until the optimal allocation result is found. Through the scheme, the complexity of the bipartite graph optimal matching is reduced under the condition of ensuring the data security, and the matching efficiency is greatly improved.

The invention provides a task processing method and device, electronic equipment, a storage medium and a program product. The method comprises the steps of obtaining a plurality of first tasks to be processed, task states of the first tasks and memories needed for processing the first tasks, wherein the task states are used for indicating stages where the first tasks are located; according to the plurality of task states, determining a memory resource pool corresponding to each first task, the memory resource pool being used for processing the first tasks with the same task state, and the memory resource pool comprising a memory unit for providing and executing the first tasks; determining a target memory unit in a plurality of memory units of a memory resource pool corresponding to the first task according to the memory corresponding to the first task, and processing the first task according to the target memory unit; after the first task is processed, the data in the target memory unit is emptied, and the emptied target memory unit is recycled into the corresponding memory resource pool, so that the task processing efficiency is improved.

This invention belongs to the field of user profiling technology, and provides a method, apparatus, device, and readable storage medium for generating user profiles. The method includes: acquiring first data, the first data including data information related to users; preprocessing the first data using a decision tree algorithm, and generating sample data based on the preprocessed first data; constructing an initial data model based on a backpropagation (BP) neural network algorithm, training the initial data model using the sample data to obtain user profile feature information, and generating a user profile based on the user profile feature information. This invention enables the model to process large amounts of data through neural network algorithms and improves the model's processing efficiency through self-learning. Furthermore, the model structure constructed using sample data training improves the accuracy of data processing, reduces the workload of staff, and enhances the accuracy of user profile data analysis.

The invention discloses a standard text multi-dimensional comparison method and system, and the method comprises the steps: carrying out the automatic processing and analysis based on an obtained original standard text, and obtaining a text fragment set with a tree-shaped index structure, a clustering tag and an index word; performing multi-dimensional feature extraction on the basis of the text fragment set with the tree index structure, the clustering tag and the index word to obtain a position feature vector and a key information set; performing multi-mode similarity comparison with a standard text in a standard knowledge base based on the text fragment set with the tree index structure, the clustering tag and the index word and the key information set to obtain a final comparison result; according to the method, the standard texts are automatically processed and analyzed, similar texts can be aggregated, and the aggregated and indexed content can be quickly matched during retrieval; through calculation in a machine learning mode, texts with different expressions but the same or highly similar meanings can be recognized, and the accuracy is improved; comparison can be rapidly carried out in a large range through calculation in an unsupervised mode, and the comparison rate is increased.

The invention provides a resource allocation method and device for a fuel gas and fuel oil hybrid energy power station, equipment and a medium, and belongs to the technical field of resource allocation. The method comprises the following steps: acquiring frequency data of a power grid, and extracting a current frequency of the power grid and a corresponding frequency change characteristic from the frequency data; determining the total active output power of the hybrid energy power station based on the current frequency; if the total active power output power exceeds the base load active power output power of the gas generator set, setting the base load active power output power as the gas active power output power of the gas generator set; determining an active distribution coefficient based on the frequency change characteristic corresponding to the current frequency; the gas active output power is adjusted based on the active distribution coefficient, and the fuel active output power is determined based on the adjusted gas active output power and the total active output power; and carrying out resource allocation on the hybrid energy power station based on the adjusted gas active output power and fuel active output power. The resource configuration of the hybrid energy power station can be optimized.

The invention provides an exhaust system of an injection mold, and relates to the technical field of exhaust of injection molds. The multi-mode gas detection module is adopted, multiple sets of composite sensors are arranged in a key area of a cavity through a distributed sensing network, and real-time and accurate collection of gas state parameters such as pressure, temperature and flow velocity in the cavity is achieved; the exhaust control module constructs a dynamic model based on collected data, noise reduction processing is carried out through a Kalman filtering algorithm to guarantee data reliability, a self-adaptive exhaust strategy is generated in combination with a reinforcement learning algorithm and a process knowledge base, and a multi-stage exhaust valve of the grading execution module can adjust the opening degree in a stepless mode according to the gas pressure gradient. The negative pressure auxiliary unit can provide precise negative pressure in the high-speed injection stage, efficient exhaust of gas of different materials under different working conditions is achieved, and the defect rate of gas marks, shrinkage cavities, scorching and the like of products is reduced.

This application relates to a fan impeller system with an adjustable impeller profile, belonging to the technical field of fans. It includes a hub and several blades, with the blades evenly distributed along the outer periphery of the hub in a front-rear direction with the hub axis as the front-rear orientation. Bosses are evenly arranged on the hub, and the front side of the blade root is movably connected to one of the bosses. A wedge-shaped pad is provided between the rear side of the blade root and the boss to fill the gap between them. The blade root, wedge-shaped pad, and bosses are fixedly connected by bolts. This application allows for convenient adjustment of the blade installation angle to change the impeller profile by replacing wedge-shaped pads with different wedge angles, in conjunction with the rotatable connection at the front of the blade root. This effectively adapts to different airflow and pressure requirements under different operating conditions without requiring complete disassembly or replacement of the impeller.

The present application relates to the technical field of medical data processing, and particularly relates to a precise positioning system for incomplete skull time interference electric stimulation treatment target. The interference position analysis base model acquisition module is used for training the interference position analysis base model of the skull health user based on the graph neural network; the model selective activation module is used for selectively activating the interference position analysis base model based on the neuron nodes corresponding to the defect brain region position of the skull defect patient, and obtaining the interference position analysis selected model; the predicted interference position acquisition module is used for processing the time interference stimulation parameters and the preset individual parameters through the interference position analysis selected model, and obtaining the predicted interference position; and the time interference stimulation parameter recommendation module is used for performing the recommendation identification on the time interference stimulation parameters when the predicted interference position is consistent with the target interference position. The present application solves the problems of inaccurate positioning and difficult electrode placement caused by skull defects.

The invention provides a picking storage location generation method, device and equipment and a storage medium, and relates to the field of warehouse logistics, in particular to the field of intelligent supply chains and the like. The method comprises the steps that in response to a received calling instruction used for calling a pre-configured storage location recommendation rule, the storage location recommendation rule is inquired from a database, the storage location recommendation rule is associated with storage location information matched with the storage location recommendation rule, and the calling instruction is generated under the condition that a service end obtains a goods picking task; in response to received task attribute information of the order picking task, matching the task attribute information with a storage location recommendation rule to obtain a target storage location recommendation rule matched with the task attribute information; and sending target storage location information associated with the target storage location recommendation rule to a service end to generate a picking storage location for the picking task.

The invention discloses an asset discovery method and system based on multi-source data fusion and automatic association analysis, and belongs to the technical field of network security. The method comprises the following steps: carrying out full-dimensional asset data acquisition through active scanning, passive access and flow monitoring; constructing a unified asset data model, and standardizing multi-source heterogeneous data by using an adaptive analysis engine; performing automatic data quality verification and cleaning on the standardized asset data record through a pre-configured association rule engine, and constructing an asset knowledge graph reflecting an association relationship among assets, asset attributes, vulnerabilities and network topology based on the verified asset data; and real-time synchronization and life cycle management of asset information are realized through an automatic assembly line and a dual-drive updating mechanism. According to the method, the problems of incomplete asset discovery, update lag, poor data quality and weak risk association in the prior art are solved, and full coverage, precise treatment, real-time update and intelligent association of asset data are realized.

The embodiment of the application relates to the computer technical field, and specifically discloses a test environment matching method and device, a computing device and a storage medium, wherein the test environment matching method comprises the following steps: obtaining an environment configuration file according to a test case, wherein the environment configuration file is used for recording environment requirements required when the test case is executed; analyzing the environment configuration file to obtain an environment structure Topo file; and matching in an environment pool according to the environment structure Topo file to determine a test environment of the test case. By using the method, real-time matching, fast matching and release between the test case and the test environment can be realized, thereby saving the time for building the test environment or manually searching for the equipment, reducing the labor cost, improving the test efficiency and the utilization rate of the equipment.

The utility model relates to temperature sensor technical field discloses a practical oil fume temperature detection device, include: detection module is used for detecting oil fume temperature, shell is used for encapsulating detection module, install buckle spare on shell, and shell is installed on the oil fume machine sheet metal through buckle spare, buckle spare includes at least two clamping arms, and the one end of clamping arm is linked with shell, and the other end cooperates with sheet metal opening on the oil fume machine sheet metal and realizes the limit, connecting line is connected with detection module, is used for transmitting signal, the utility model discloses through setting buckle spare, avoids adopting screw or the mode of beating glue and fixes detection device on the oil fume machine, has reduced assembly difficulty, and has reduced overall volume, looks from the long run, and it can quickly match various fume machine, promotes the industry upgrading iteration.

The application discloses a form rapid building method based on an OCR recognition technology, and comprises the following steps: S1, uploading a paper form picture; S2, based on the OCR recognition technology, recognizing the text in the picture, the absolute position of the text in the picture and the range of the text; S3, performing semanticization on the recognized text to obtain corresponding form components; and S4, recognizing the layout positions of various fields in the picture. In the application, the form can be quickly recognized by being photographed and uploaded, the operation of manually entering information into an excel in advance is omitted before the excel is imported, the time cost and the manpower cost of manual entry are maximally reduced, the semanticization process is increased, the field types are quickly analyzed and matched through automatic recognition, the user is helped to quickly understand the component types of the form, the user does not need to understand the differences between the field types, the form can be quickly built, and the user understanding cost is reduced.

The invention provides a powder flow precise control and real-time adjustment method for quantitative powder packaging, which comprises the following steps of: identifying dynamic model parameters of an actuating mechanism by utilizing a recursive augmented least square method through periodically injecting lightweight excitation signals and accurately collecting input and output time sequence data; a preset nonlinear rule mapping relation is combined to automatically convert into an optimal PID control parameter, and exponential weighted average is adopted to realize smooth transition of the parameter, so that system disturbance is avoided; according to the method, the characteristic change of an executing mechanism can be matched in real time, and the powder flow adjusting precision and the system robustness are improved.