50results about How to "Reduce repetitive work" patented technology

The invention discloses a safety cooperative control method of a multi-robot system, and relates to the technical field of robot control. The method comprises the following steps: constructing a multi-mechanical-arm multi-robot system model; setting an end effector of the follower robot in a Cartesian space, and determining a dynamic model of the multi-mechanical-arm multi-robot system; according to the input-driven fuzzy state observer and the kinetic model of the multi-mechanical-arm multi-robot system, a distributed fuzzy observer error is obtained; according to the symbol graph network topology, constructing a bidirectional grouping cooperation error, a bidirectional grouping tracking error and a fuzzy estimation error; a backstepping method is applied to obtain a time-varying Tan type Lyapunov obstacle function; and then determining a distributed formation controller and an adaptive law, and determining a distributed bidirectional cooperative controller of the multi-mechanical-arm multi-robot system. The operation safety of the multi-mechanical-arm multi-robot system in a specific task space range is improved.

The invention provides an automatic rollback and compensation method and device for a service fulfillment process, equipment and a storage medium, and relates to the technical field of service orchestration. The method comprises the following steps: collecting abnormal reasons in a service fulfillment process, and constructing an abnormal feature set; designing a corresponding compensation strategy and / or rollback strategy based on the abnormal feature set; if the opening of the current service is abnormal, obtaining an execution abnormal result, analyzing a current abnormal feature in the execution abnormal result, comparing the current abnormal feature with the abnormal feature set, and performing matching to obtain a corresponding compensation strategy and / or a rollback strategy; and executing automatic rollback or compensation according to the matched current compensation strategy and / or rollback strategy. According to the method, automatic rollback and compensation operation of anomalies caused by data inconsistency is realized. According to the method, compensation or rollback processing is automatically carried out when abnormity occurs in the network activation process due to inaccurate data or inconsistent front-end and rear-end data and the like, so that the intelligent level of abnormity processing is improved.

The invention discloses an MBSE-based air inlet test control device modeling method. The method comprises the following steps: S1, carrying out operation analysis; s2, system design; s3, component design; s4, constructing a Refine traceability matrix from the component demand to the system layer design and a Derive-Request traceability matrix from the component demand to the system demand, and constructing a Refine traceability matrix from the system demand to the operation analysis layer design and a Derive-Request traceability matrix from the system demand to the user demand; and S5, constructing a demand meta-model and an interface meta-model, and carrying out meta-model replacement according to an actual interface of the system. According to the method, the defects caused by a document-based system design method in the previous design process are effectively overcome, and tight combination of system design and requirements is ensured. According to the method, the readability of the model is greatly enhanced, the ambiguity problem caused by numerous elements is avoided, the repetitive work is reduced, the system iteration process is simplified, and the development period of the system is shortened.

The invention provides a test scene generalization generation method and system for automatic driving defect test, and belongs to the technical field of automatic driving test. Specifically, scene elements of a scene to be tested are extracted, and the extracted scene elements are divided into a training set and a test set; constructing a defect test scene model; training the defect test scene model based on the training set, and performing reinforcement learning by using a reward function, an attention mechanism and a DDQN algorithm to obtain a trained defect test scene model; and inputting the scene elements of the test set into the trained defect test scene model to generate a test scene. The test scene around the automatic driving vehicle is extracted and trained, and the automatic driving vehicle judges the influence degree of the surrounding environment on the predicted path, so that the training purpose is achieved, the independence between the test scene generation process and the tested system vehicle is enhanced, and the test efficiency is improved. And the generated scene is not influenced by the motion model adopted by the tested system.

The invention relates to the technical field of material packaging, and discloses a multi-state automatic material filling system and method.The filling system comprises a rack, the rack is rotationally provided with a multi-station rotating mechanism, and the multi-station rotating mechanism at least comprises a fixed disc and a rotating disc; a bag taking station, a bag opening station, a material filling station and a bag closing station are sequentially arranged on the fixed disc in the rotating direction of the rotating disc, and a bag taking mechanism, a bag opening mechanism, a material filling mechanism and a bag closing mechanism are arranged on the fixed disc. Automatic filling of materials in various states is achieved, the filling efficiency is improved, meanwhile, material liquid is prevented from overflowing or splashing to a sealing opening, and the sealing performance of the sealing opening is guaranteed.

The invention discloses an enterprise digital diagnosis system and method based on a large model technology, and belongs to the technical field of enterprise digital diagnosis, and the system comprises an enterprise filing module, an enterprise data analysis module, an intelligent scoring module and an automatic report generation module. According to the method, strong data analysis capability and text generation capability are fully utilized, the AI technology is used for concluding and analyzing field investigation data, the digital level of the enterprise is evaluated according to related evaluation standards, a targeted solution is provided for the problems of pain points and difficulty in the digital transformation process of the enterprise, and the method is suitable for popularization and application. And a complete digital diagnosis report is issued by one key, so that the quality and the efficiency of digital diagnosis service are improved, repeated work in a manual diagnosis process is reduced, and the labor cost is effectively saved.

The invention relates to a numerical control mold self-adaptive machining method and device and a storage medium, and relates to the technical field of numerical control machining. Determining a key surface which can influence the durability and the precision of the numerical control die in the machining process according to the structural characteristics and the machining process flow; obtaining a machining compensation scheme according to the key surface, the structural characteristics and the machining process flow, wherein the machining compensation scheme comprises a compensation axis direction and compensation parameters; dynamic variable data in the machining process of the numerical control mold are obtained; and the machining process is compensated in real time according to the dynamic variable data and the machining compensation scheme. The numerical control die has the effect of improving the durability and the machining precision of the numerical control die.

The invention discloses a weapon platform-oriented electronic system digital model rapid construction method, and belongs to the technical field of digital model construction. In order to solve the problems of high repeated development cost, long system development period and poor adaptive capacity to complex environments, developers can directly call standardized modules for configuration and integration by constructing a modular component library, development work starting from zero is avoided, the flexibility, adaptability and development efficiency of the system are improved, and the development efficiency of the system is improved. An integrated modeling framework is adopted to automatically generate models and configure modules, proper modules are automatically selected and combined based on demand parameters, it is ensured that the system design can flexibly cope with different technical demands and environment changes, comprehensive testing and verification of the system are achieved by configuring various simulation environments and working scenes, and the system design efficiency is improved. Design defects and performance bottlenecks can be identified in a short time, rapid adjustment and optimization are carried out based on results, and it is ensured that the system can stably operate in various complex environments.

The invention belongs to the technical field of data processing, and relates to a data query method, which comprises the following steps of: verifying a received query request based on a verification strategy; if the query request passes the verification, analyzing the query request to obtain a query keyword, and judging whether a query result matched with the query keyword exists in a cache library or not; if not, constructing a target query statement based on the query keyword; calling a target database to search the target query statement to obtain a search result; performing data extraction processing on the search result to obtain feedback data corresponding to the query keyword; wherein the target feedback data comprises context information and subsystem data corresponding to the query keyword; and sending the feedback data to the user. The invention further provides a data query device, computer equipment and a storage medium. In addition, the feedback data may be stored in the blockchain. Based on an automatic query processing mode, the processing efficiency and accuracy of query processing are effectively improved.

The invention discloses a closed-loop optical-mechanical structure optimization method based on optical-mechanical heat integration analysis, belongs to large-aperture optical lens optical-mechanical structure design, and solves the problems of low efficiency and insufficient reliability in the traditional optical-mechanical structure optimization process. Performing finite element analysis on the parameterized model by adopting a finite element method to obtain node displacement data; performing optical system parameter analysis in combination with an optical-mechanical interface to obtain optical system parameters, performing closed-loop optimization in combination with an optimization algorithm model to obtain optimal structure design parameters, and completing closed-loop optical-mechanical structure optimization based on optical-mechanical heat integration analysis; according to the structure optimization method, the closed-loop integrated optimization algorithm is adopted to analyze and feed back the structure parameters, the optimization result can be accurately converged into the optimization interval, a large amount of repeated labor for manually transmitting analysis data is reduced, the analysis time is saved, the optimization efficiency of the optical-mechanical structure is improved, and meanwhile the reliability is good.

The snow throwing machine comprises a main support, a spiral conveying auger installed below the main support and a first driving assembly driving the spiral conveying auger to rotate. The snow throwing drum wheel is arranged on one side of the middle part of the spiral conveying auger; the second driving assembly is used for driving the snow throwing drum wheel to rotate; the monitoring module for monitoring the roads on the two sides and the wind power monitoring module for monitoring the wind power are arranged on the snow throwing machine, and in the working and advancing process of the snow throwing machine, pedestrians are monitored, and then the control module is matched to drive the snow throwing machine to start and stop or improve the snow throwing strength; the angle of an output barrel of the snow throwing machine is rotationally adjusted according to the wind power level and the wind direction, accumulated snow is output in a throwing mode, and the accumulated snow falls to a preset position by adjusting the output angle; and the pedestrian monitoring module can detect the position and the dynamic state of the pedestrian in real time, it is ensured that the snow throwing machine cannot blow snow to the pedestrian, and potential safety hazards are reduced.

The invention discloses an algorithm library management system supporting visual arrangement of an algorithm model construction process. The algorithm library management system comprises an algorithm component management module, an algorithm component configuration module, an algorithm process arrangement module, an algorithm process operation module and an algorithm process log management module. The algorithm component management module is used for constructing and managing a full-process model algorithm component; the algorithm component configuration module is used for responding to a request of a user for setting specific parameters for each algorithm component in an algorithm model construction process; the algorithm process arrangement module provides a visual arrangement interaction mode, responds to the operation that a user drags algorithm components into a canvas, and connects the algorithm components according to a logic sequence through connecting lines to achieve data communication and transmission between the algorithm components. The algorithm process operation module is used for automatically executing algorithm components and resource scheduling according to the arranged logic sequence and completing execution of the whole algorithm model construction process; according to the method, a developer can construct and manage the algorithm model more efficiently and flexibly.

The invention discloses a speed reducer simulation pre-processing template, which comprises an identification module used for acquiring tiny features between a storage model and an import model, and searching, deleting and repairing the tiny features through a size search range; the modification module is used for clearing or modifying the tiny features; the storage module is used for storing the storage model, the material parameters, the connection relation, the boundary condition, the external load, the grid division, the lubrication mode and the clear record and the modification record of the tiny features; and the calling module is used for calling the storage model, the material parameters, the connection relationship, the boundary condition, the external load, the grid division, the lubrication mode and the clear record and the modification record of the tiny features. According to the method, all links of simulation pre-processing are comprehensively covered, meanwhile, the method is connected with a system cloud end, computer storage and external hardware, a user can conveniently select different storage modes, and the method has good flexibility and expansibility.

The present invention discloses a hybrid cloud automated operation and maintenance publishing system, including: a main management center, which selects a regional data center as the main management center; service and business modules, which create automated publishing execution program files for various services and business modules; a configuration center, a deployment object storage space and a database platform, which establish a unified configuration center, a deployment object storage space and a database platform, create service configuration items in the configuration center, establish a classification directory in the object storage, and create a database connection in the database platform for executing SQL statements; and create roles and user accounts in the configuration center and the database platform. The present invention reduces the occurrence of manual memory commands and manual execution errors, and the system service management method also supports the startup of services in parallel, significantly improving the startup efficiency. In the face of business expansion and module addition, only the corresponding configuration and publishing files need to be added to achieve dynamic upgrades.

The invention discloses an intelligent question and answer technology standardization system architecture based on a knowledge graph, and relates to the technical field of intelligent question and answer. According to the method, a unified knowledge representation standard is established, so that knowledge based on the knowledge graph can be shared and fused among different systems; the processing flow of the intelligent question-answering system is standardized, and the question-answering accuracy and quality are improved; meanwhile, interoperability between different intelligent question-answering systems is enhanced, and wide application of the intelligent question-answering technology is promoted.

This invention discloses a method and system for modeling vehicle door structures, relating to the field of automotive design technology. The method includes: determining the large glass surface based on the glass boundary of the door window frame; calling a library of standard door cross-sections with predefined standard cross-sectional references based on the door structure; determining design cross-sectional references for each standard cross-section based on the door structure design parameters; adjusting the standard cross-sectional references to the design cross-sectional references to determine the design position of each cross-section; and generating a door structure model based on all determined cross-sectional positions. This invention achieves rapid and standardized modeling of vehicle door structures through parametric and automated cross-sectional reference alignment and positioning, reducing repetitive manual work, improving design efficiency and consistency, and enabling early verification and optimization of key designs such as hinge arrangement. The system includes corresponding functional modules to implement the method.

The application relates to the technical field of CAD operation prediction, in particular to a CAD operation prediction method and device based on artificial intelligence and electronic equipment, which comprises the following steps: dividing operation commands of a user based on historical project operation data of the user, determining operation entities according to the division result of the operation commands, obtaining an operation command set of each operation entity, filtering the operation command set of each operation entity based on final project data to obtain a simplest operation command set, constructing feature commands of each operation entity, establishing a feature continuous sequence of each operation entity, calculating entity correlation coefficients, establishing an entity correlation matrix based on the entity correlation coefficients, taking the entity correlation matrix and the feature command entity as a CAD prediction knowledge graph of the user, and outputting a prediction prompt information to the user according to the CAD operation data of the user and the CAD prediction knowledge graph. The application effectively improves the prediction efficiency of CAD operation.

The invention provides a cost-reducing and efficiency-increasing planet carrier back gouging optimization calculation method, which is characterized by comprising the following steps of: 1, determining a cutting surface of a parameterized model, and cutting a planet carrier into the parameterized model and a non-parameterized model; 2, a calculation model is established, and a non-parameter model is reserved; 3, obtaining various combinations of multi-arc composition parameters, and establishing an equation according to a geometric and position constraint relationship to obtain a parameterized model section under the overall coordinate system; 4, rotating the parameterized model screenshot grid to generate an entity grid, and exporting to generate a three-dimensional intermediate file; and 5, connecting entity grids of the non-parameter model and the parameterized model together, calculating to obtain multiple groups of stress values, extracting composition parameters of multiple arc segments corresponding to the minimum stress value, and drawing a back gouging drawing according to the group of parameters. According to the method, wind power gear box planet carrier back gouging is subjected to optimization calculation, so that cost is reduced, and efficiency is improved.

The present invention provides a model framework code generation system and method, wherein the system includes: a model database module, which is used to store data elements, data object models and service description models pre-built according to a set business system, and a service description language defined for a business field; a visual interface module, which is used to display visual identifiers of stored content, receive an arrangement operation instruction and select a visual identifier of required content according to the instruction; a model construction layer module, which is used to obtain stored data elements, data object models, and service description models according to the selected visual identifier, and construct a new data object model or a new service description model; a model publishing layer module, which is used to publish a new model and generate a framework code and a corresponding environment library file for running the new model in a set business system. The above scheme can improve the data quality of the model.

The invention discloses a fetal MRI (Magnetic Resonance Imaging) brain tissue segmentation method, system and device and a medium, and belongs to the segmentation of brain tissue images in the technical field of artificial intelligence. The method aims at solving the problems that in the prior art, a segmentation method based on deep learning cannot be suitable for manual measurement of multi-resolution data and lateral ventricle width, and measurement efficiency is low due to single-piece measurement. Comprising a U-Net segmentation module and a Resnet classification module, the U-Net segmentation module comprises a DWMF block and a decoder block, and the DWMF block and the decoder block are connected through a jump link block; the DWMF block comprises two depth separation convolution blocks and four depth separation channel expansion convolution blocks, and the output of one depth separation convolution block is used as the input of the last depth separation channel expansion convolution block after passing through three depth separation channel expansion convolution blocks.

The invention relates to an automatic testing method, electronic equipment and a storage medium, and belongs to the technical field of command line test.The method comprises the steps that first configuration information and second configuration information of equipment to be tested and configuration parameters input when configuration operation is conducted on the equipment to be tested through a target page of the equipment to be tested are obtained; wherein the first configuration information comprises the configuration of the to-be-tested equipment before the configuration operation; the second configuration information comprises the configuration of the to-be-tested equipment after the configuration operation; determining a command line configuration format corresponding to the configuration parameters according to the difference between the second configuration information and the first configuration information; generating a command line configuration operation instruction according to the configuration parameters and the command line configuration format; and performing command line configuration test on the to-be-tested equipment according to the command line configuration operation instruction. According to the invention, automatic command line testing can be synchronously realized according to page testing, so that the testing efficiency can be improved.

The present invention provides a method for estimating the unit flow of surface water in a small watershed, comprising the following steps: S1, determining the position of a monitoring section; S2, measuring the width of the section; S3, measuring the average height of the section; S4, determining the point where the average height of the section is located; S5, measuring the flow velocity of the water body in the section; S6, calculating the flow; S7, secondary measurement; S8, measuring the water layer height and flow velocity at the average height point; S9, calculating the unit flow during the secondary measurement. The present invention is scientifically and reasonably designed, simple and easy to implement, can use common equipment to complete the determination of the surface water flow in a small watershed, can effectively avoid a large amount of repetitive work, and greatly improve work efficiency.

This utility model discloses a bridge expansion joint, including a road surface steel component. Several temporary connecting plates are arranged on the top of the road surface steel component. Several unequal angle steels are welded to one side of the road surface steel component. Several riveting connectors are welded in a straight line below the unequal angle steels. The temporary connecting plates and the unequal angle steels are connected by bolts and nuts. This utility model unitizes and modularizes the riveting structure, which accounts for 70% of the workload in the production process of the expansion joint, and implements standardized and mass production. This not only effectively reduces the complexity and labor costs in the production process, but also significantly improves production efficiency.

The application provides a micro-service deployment method and device, a processor and an electronic device. The method comprises: creating a deployment environment template library and displaying it on a display interface, the deployment environment template library comprising a plurality of deployment environment templates; in response to a first operation on the deployment environment template library, determining a target template from the plurality of deployment environment templates, configuring predetermined information for a target service, the target service being at least part of the services in the target template, the predetermined information comprising service version information, server resources, instance resources and an application package, the application package storing configuration files and programming statements corresponding to each service; configuring a database table for the target service according to the application package, sending the configuration files corresponding to the target service to a configuration center according to the application package, and displaying a deployment identifier on the display interface; and in response to a second operation on the deployment identifier, deploying the target service configured with the predetermined information and the database table. The application saves labor costs.

The invention relates to the technical field of artificial intelligence, in particular to a courseware making method and device based on artificial intelligence and a storage medium, and the method comprises the steps: constructing a tone problem distribution table based on tone accuracy scores and machine bias labels; determining a target training group based on the tone question distribution table, further determining a courseware generation parameter, extracting a recent continuous practice sequence based on the target training group, and further generating a training intensity adjustment parameter to adjust the courseware generation parameter; constructing an individual cognitive bias error model based on listen-and-read entries in a user historical period, and generating a bias error pair list; generating training content based on the courseware generation parameters, the target training group, the bias error pair list and the tone problem distribution table; and arranging a teaching process based on the training content, and generating a courseware script. According to the invention, the pronunciation data, the personal bias mode and the linguistic knowledge base of the learner can be dynamically combined, and an accurate closed loop from data diagnosis to targeted teaching is realized.

This invention discloses a backflow suppression device and an anti-backflow fan and refrigerator including the same. The backflow suppression device is used to suppress the backflow of gas from the air inlet of the fan to the outside of the fan. It includes: a flow-suppressing part, which is arranged around the outer edge of the air inlet, with one side of the flow-suppressing part rotatably connected to the outer edge of the air inlet, and the other side of the flow-suppressing part extending towards the axis of the air inlet, and the flow-suppressing part being used to rotate around the outer edge of the air inlet; and a limiting part, which is arranged around the outer edge of the air inlet, and the limiting part being used to restrict the rotation of the flow-suppressing part towards the outside of the fan. When gas backflows from the air inlet, the flow-suppressing part rotates towards the limiting part; when air enters the air inlet, the flow-suppressing part rotates towards the impeller of the fan. The flow-suppressing part can block the backflow generated in the positive pressure zone, thereby reducing eddies and the noise generated by eddies. It reduces repetitive work, thereby improving the efficiency of the fan and reducing energy consumption.

The invention relates to the technical field of system testing. The invention discloses a test report generation method and device, equipment and a medium, and the method comprises the steps: constructing a test report template, presetting a plurality of index templates in the test report template, and enabling the index templates to comprise scene indexes and scene identifiers; based on a preset test case, identifying a scene identifier of a to-be-tested scene in the test case, and screening index templates in the test report template according to the scene identifier of the to-be-tested scene to obtain an initial test report; and obtaining a test result based on a preset test case, identifying a scene identifier, a scene index and corresponding index data in the test result, and filling the initial test report with the index data to generate a target test report. According to the method and the device, the index template is preset, the index required in each scene is individually set, the index can be deleted according to the actual test content in the test process, and the accuracy and the reliability of the test conclusion are improved.

The invention relates to the technical field of electric energy meter data testing, in particular to a zero line breakage detection circuit and detection method for an acquisition terminal. The detection circuit comprises an AC sampling module MK1, four current transformers CT1-CT4, a relay K1, resistors R1-R4, a diode D1, an NPN triode Q1 and a processor N1. The circuit collects three-phase voltage and zero line voltage and current through the MK1, preliminarily judges whether the zero line current is larger than a preset threshold value I0 or not, further calculates the absolute value of the three-phase voltage vector sum, compares the absolute value with a threshold value U0, changes the load state of the circuit through the relay K1, and then performs re-judgment so as to accurately judge whether the zero line is broken or not. The method comprises the steps of initial sampling, current preliminary judgment, voltage vector sum preliminary judgment, relay action and re-judgment preparation, voltage vector sum re-judgment and detection ending and responding. The zero line breaking fault can be accurately detected, misjudgment is avoided, and the detection accuracy and reliability are improved.

The application relates to the technical field of network teaching, in particular to a high-order course algorithm dynamic demonstration method and system based on generative AI, which encodes algorithm parameter adjustment data in target algorithm teaching interaction into structured data; inputs the structured data and algorithm input data into a pre-trained generative AI model, dynamically generates a visual description of a target algorithm processing flow by using the generative AI model, and converts the visual description into visual instructions to realize real-time dynamic visualization of the algorithm processing flow based on the visual instructions. The application generates a visual result of the algorithm processing flow in real time, enables students to adjust parameters in real time and observe the change of the internal processing state of the algorithm, helps students understand the role of algorithm core parameters and the tuning idea, establishes systematic and visual cognition of the working principle of the algorithm, deepens the understanding of students on complex principles, and improves the flexibility and effectiveness of classroom guidance.

The invention belongs to the technical field of civil airport information, and discloses a flight ground guarantee dynamic management and control method and system based on a collaborative electronic process list. The method comprises the following steps: flight guarantee full life cycle data integration and standardization processing; performing flight state mapping and multi-queue generation; active early warning and visual highlighting based on a time threshold are carried out; dragging interaction and flight state synchronous updating are carried out; collaborative and visual monitoring of the guarantee process is carried out; and performing management and control efficiency analysis. According to the invention, a dynamic command management and control model which takes state as driving and takes visualization as a presentation mode is constructed. According to the method, the data structure and circulation logic of flight information are redefined, and a traditional static list is upgraded into a multi-column collaborative dynamic billboard, so that refined and active management and control of the whole ground guarantee process are realized.