687results about How to "Reduce learning costs" patented technology

The invention discloses an information interaction method for an intelligent robot with a body, and the method comprises the steps: S1, receiving the information which is transmitted by a user and comprises a task instruction, S2, carrying out the analysis of the information based on a context understanding module, so as to recognize the specific meaning and environment conditions of the task instruction, s3, operation corresponding to the specific meaning is executed, and execution parameters are adjusted in a specific environment to ensure that the task instruction is accurately implemented; according to the information interaction method of the intelligent robot with the body, environment perception and adaptive capacity are enhanced, various perception information such as vision, hearing and touch can be integrated, comprehensive perception of the environment is achieved, instruction understanding and execution accuracy is improved, the intelligent robot with the body can analyze complex user instructions more accurately, and user experience is improved. Through real-time multi-modal data fusion and decision optimization, the robot can realize real-time integration of different data sources in a highly dynamic scene, and the task execution efficiency and the user experience are improved.

The invention provides a multi-agent cooperation system, which comprises a multi-agent cooperation engine module, a task decomposition and distribution module and a tool calling normal form module, and is characterized in that the task decomposition and distribution module is used for decomposing tasks and distributing decomposed sub-tasks to agents; the multi-agent cooperation engine module is used for managing cooperation and communication between agents; and the tool calling module enables the intelligent agent to dynamically call different tools. According to the multi-agent collaboration system, the collaboration efficiency among the agents, the flexibility of task decomposition, the adaptivity of tool calling and the intelligent level of user interaction are remarkably improved, and remarkable technical advantages and effects are shown in complex task processing and dynamic environment processing.

The embodiment of the invention provides a media content generation method and device, a storage medium and a program product, and the method comprises the steps: displaying dialogue content in a dialogue window of a first interface, generating target media content according to the dialogue content, and presenting a trigger control of the target media content in the dialogue window, wherein the trigger control is at least used for triggering presentation of the target media content. According to the media content generation method provided by the embodiment of the invention, the information interaction between the user and the system is realized by adopting the dialogue mode, and then the target media content conforming to the creation intention of the user is generated based on the obtained dialogue content, so that the learning cost of the user is reduced, the operation is simple, and the intelligent level of media content generation is improved.

The invention discloses a user-defined multi-dimensional analysis configuration method, system and equipment based on a constellation model and a medium, belongs to the technical field of data analysis, and aims to solve the technical problem that basic data such as dimensions, indexes and data models in multi-dimensional analysis are complicated to construct. According to the technical scheme, according to the method, the dimensionality, the index and the incidence relation between the fact table and the dimensionality table configured by the model table are imported, the mapping between the dimensionality tables is automatically imported into the correlation table, the attribute and the model relation, the model maintenance cost is reduced, and the model maintenance time is shortened; ordered model construction is realized through dimensions, indexes, fact tables, dimension tables, data models and self-defined multi-dimensional query, multi-fact-table dimensions screen application configuration scenes of reverse mapping of property of the fact tables, required indexes are flexibly selected from the fact tables through dragging operation, and according to a cascade mode of the indexes and the dimensions, the application configuration scenes of reverse mapping of property of the property of the fact tables are selected to be matched with the property of the property of the property of the property of the property of the property of the property of the property of the property of the property of the property of the property. And automatically screening out the generality dimension for display.

The invention provides a robot teleoperation method and system based on virtual reality and digital twinning, and particularly relates to the technical field of man-machine collaborative intelligent manufacturing and assemblation.The scheme comprises the steps that an industrial robot and wearable equipment are started; establishing a two-way communication connection between the virtual environment of the wearable device and the industrial robot, and rendering the virtual robot of the wearable device in the virtual environment; and inputting the target pose operation instruction into the virtual robot, responding to a received target motion track planned by the wearable device according to the target pose operation instruction, and controlling the industrial robot to execute an operation task according to the motion track. According to the scheme, information interaction between an operator and the robot can be achieved, so that immersive real-time robot teleoperation is achieved through instant and accurate operation commands and field feedback, and the teleoperation precision of complex tasks and flexible operation tasks can be remarkably improved.

The invention relates to the field of group quality management, in particular to a group quality management system and method based on a dynamic data source. Comprising a data source management module, a quality data acquisition module, a quality data storage and management module, a quality data analysis and statistics module, a quality control and decision support module, a user management and authority control module and a system setting and management module which are connected through data interfaces, the data flow, the use frequency and the updating condition are monitored, and an early warning mechanism for data source connection abnormity, data access timeout and data conflict is arranged. According to the method, data integration and sharing can be improved, the accuracy of data quality is improved, user experience is improved, and safety is enhanced. According to the method, quality abnormity and fluctuation can be quickly and accurately found, targeted control measures are taken in time, quality problems are restrained in the bud state, and defective products and waste products are effectively reduced.

The embodiment of the invention provides a media content processing method and device, a storage medium and a program product, and the method comprises the steps that dialogue content is displayed in a dialogue window of a first interface, the dialogue content is used for indicating an editing intention of a user on to-be-processed media content, and the first interface comprises an editing track, an editing effect preview area and the dialogue window; the editing track is used for presenting a video clip formed based on the to-be-processed media content, the editing effect preview area is used for playing the video clip formed based on the to-be-processed media content, the to-be-processed media content is edited according to the dialogue content, target media content is obtained, and the target media content comprises the to-be-processed media content and editing information. According to the method provided by the embodiment of the invention, the learning cost of the target user is reduced, the operation is simple, and the intelligent level of media content generation is improved.

The invention provides a content generation method, which is applied to terminal equipment and comprises the following steps: acquiring input data of a content generation model; uploading the input data to a server through a first routing path; receiving first content returned by the server, wherein the first content is generated by a first content generation model deployed on the server; when obtaining the first content through the first routing path is abnormal, inputting the input data to a second content generation model deployed locally through a second routing path to obtain second content; wherein the number of parameters of the second content generation model is smaller than the number of parameters of the first content generation model. According to the content generation method provided by the invention, when the response of the content generation model deployed at the server side is abnormal, the required content is generated by adopting the locally deployed miniaturized content generation model, so that the content generation service is prevented from being influenced when the network is abnormal or the server is abnormal.

The invention discloses an implementation method for controlling office software to execute a target operation through a natural language, and relates to the technical field of computer office software automation, which comprises the following steps: constructing a target operation automatic execution system, and respectively setting a demand input end, a code generation end and a code execution end in the system, according to the method, the target operation automatic execution system is constructed, and the demand input end, the code generation end and the code execution end are respectively arranged in the system, so that during actual use, a user only needs to describe an operation demand by using a natural language, and a corresponding code is automatically generated according to the demand by using a large language model; and the codes are automatically executed to control the office software to realize the operation wanted by the user, so that the effect of the required operation can be achieved without learning a large amount of office software using skills by the user, the learning cost of the user is reduced, and the office efficiency is improved.

The invention provides an intelligent financial management system and method based on a multi-modal large model, and the method comprises the following steps: obtaining a paper original voucher picture through photographing or scanning; extracting specified information in the picture through a multi-modal large model, wherein the specified information comprises a voucher type, an amount and a cause; inputting the specified information into a trained multi-mode large model, judging a financial accounting subject to which the voucher belongs based on a cue word, and generating an accounting voucher; the generated accounting voucher is submitted to financial staff for auditing, and the accounting voucher is confirmed or modified; and storing the confirmed or modified accounting voucher into a financial management background to generate a financial statement. According to the invention, the working efficiency and accuracy of financial accounting bookkeeping are greatly improved, and the level of financial management is improved.

The invention discloses a business process automatic configuration method and device based on a large language model, and the method comprises the steps: obtaining a user demand text, and obtaining a context constraint corresponding to the user demand text according to a business scene; inputting the user demand text and the context constraint into a first large language model to obtain preliminary standard data; analyzing the preliminary standard data to obtain a business process, and judging whether the business process meets an expected business requirement, if not, obtaining dialogue content data, and performing cyclic dialogue on the first large language model according to the dialogue content data and the preliminary standard data to obtain a second large language model; and the obtained business process meets the expected business requirement. The business requirements can be fully understood by using the strong natural language understanding capability of the large language model, and the time of requirement arrangement and business abstraction is saved, so that the learning cost and the technical threshold of process configuration personnel are reduced.

The invention discloses a direct visual field testing device, which relates to the technical field of testing and comprises a video auxiliary device and a marker device, the video auxiliary device realizes three-dimensional positioning and real-time video acquisition of preset eye spots through a height adjusting mechanism, an angle adjusting mechanism and a holder adjusting mechanism; the marker device realizes accurate adjustment and stable positioning of a marker in a test area through a height adjusting rod, a knuckle bearing and laser-assisted positioning; the direct visual field testing device is suitable for accurate measurement of the visual field range of a driver, can efficiently collect and record testing data, has the advantages of being convenient to operate, high in adaptability, high in precision and the like, and is widely applied to the fields of vehicle design, driving training, safety research and the like.

The invention provides an animation generation method and device and electronic equipment, and relates to the field of animation production. The method comprises the following steps: acquiring an original image and a target mask image; acquiring action description information, wherein the action description information is used for describing an action expected to be made by the animation character; inputting the action description information into an action generation model to obtain an action file; extracting the animation character from the original image by using the animation character area in the target mask image, and binding the joint part points of the animation character with the joint motion information of each frame to generate a target animation; the target animation is used for displaying the motion described by the motion description information made by the animation figure. The problem that the difficulty of a method for generating animations based on pictures is too high in the prior art is solved.

The invention relates to an intelligent office process processing method and system based on a large language model, and belongs to the field of artificial intelligence. Comprising the steps of obtaining enterprise documents; sequentially carrying out document analysis, document cutting and key information extraction on the enterprise document; constructing an enterprise knowledge base based on an ES library according to the extracted content; receiving a user question about the office process; a semantic text block and a keyword text block about the user question are recalled in the enterprise knowledge base, and the semantic text block and the keyword text block are spliced by using a large language model to obtain a user question answer of the user question; taking the user question and the answer of the user question as question-answer pairs, and performing office process work order automatic filling of the question-answer pairs by utilizing a large language model according to a preset work order filling rule; and outputting the filled office process work order. According to the invention, comprehensive intellectualization and automation of the office process are realized, the office efficiency is improved, the error rate is reduced, and the user experience is improved.

The invention relates to a time-delay variable-gain robot virtual-real interaction remote control system and method. The method comprises the following steps: acquiring data of wrist, finger and pedal actions; mapping the collected action data to obtain a motion instruction of the slave end robot, and selecting and recording the motion instruction in a certain time period according to different treading states of the pedal action to obtain a corresponding motion instruction sequence; a motion instruction sequence is received, and according to the distance between a slave-end robot virtual simulation model and a virtual simulation environment space obstacle and the time delay generated when the motion instruction is sent from the master-end controller to the slave-end controller to be processed and fed back, mapping proportion adjustment is conducted on the motion instruction to obtain an operation instruction; and according to the operation instruction, the slave end robot is driven to execute a corresponding action, and action state feedback is carried out. The problems that in the current robot teleoperation technology, operation is unstable and operation is prone to collision due to unstable time delay jitter and sensing limitation are solved.

The invention relates to the technical field of building design, and particularly discloses an integrated CAD drawing set drawing template system and method, and the system comprises a drawing management module, a template presetting module, a graph reference module, an attribute configuration module, a workflow management module, and a quality inspection module. The drawing management module is used for storing and maintaining all drawings and metadata associated with the drawings and realizing automatic naming and classification of the drawings; the template presetting module is used for generating a template file meeting requirements according to a standard set by a user; the graph reference module is used for automatically introducing related graph files into the layout by using a CAD graph reference system; the attribute configuration module is used for automatically adjusting character information and a layer display state of a drawing according to a drawing environment and an attribute standard input by a user; through the integrated design, the convenient operation process and the abundant preset templates, the problems that a traditional drawing set is high in learning cost and complex in operation are successfully solved, and the drawing efficiency and quality are greatly improved.

The embodiment of the invention provides a visual space science experiment data analysis assembly line method. The technical problem that space science experiment data analysis is poor in convenience can be solved. The method comprises the following steps: in response to input data selection operation, algorithm model selection operation and visual component selection operation, generating data nodes, model nodes and visual nodes; performing parameter configuration on the data nodes, the model nodes and the visual nodes, and performing assembly line connection operation to generate a flow chart; based on the flow chart, receiving an input job submission operation; analyzing the flow chart to obtain an analysis result; obtaining a job scheduling result based on the analysis result; based on the job scheduling result, an algorithm mirror image deployment package corresponding to the algorithm model selection operation and file data corresponding to the data selection operation are called; performing algorithm analysis on the file data according to the algorithm mirror image deployment package to obtain an analysis result; and performing visual display. And multi-process, interactive and quantitative data analysis is realized.

The invention discloses an automatic construction system for financial data management, and relates to the related technical field of financial data management, and the system comprises a user interface module which is used for providing an intuitive graphical interface, and enabling a user to construct an application process in a mode of dragging a component; the business logic module is used for calculating the production cost of the product and automatically generating an asset balance sheet, a profit sheet and a cash flow sheet; and the financial trend prediction module needs historical financial data as input, the user inputs financial data and related characteristics, and the model outputs a prediction result. An automatic data processing and report generating system can be rapidly constructed through an automatic tool, the labor burden is relieved, a low-code platform system allows a user to customize and adjust the financial process in a visual mode, the individual requirement can be met without compiling a large number of codes, and the user experience is improved. The LLM technology can provide natural language understanding and intelligent analysis ability, and assists non-professionals in deep financial insight and strategic decision making.

The invention belongs to the field of electric power data fusion, and provides a database fusion matching method and system based on multi-dimensional index correlation analysis, and the technical scheme is as follows: obtaining different types of electric power databases and database tables; extracting metadata information in different types of power databases; according to the database table and the extracted metadata information in the different types of power databases, converting field information of the databases into graph node information, respectively constructing a table entity, an attribute entity and a table-attribute relationship, and generating a relationship graph; respectively extracting local features and global features in the relational graph through a graph convolutional network and a self-attention mechanism on the basis of node attributes in the relational graph and the relation between the nodes, and splicing the local features and the global features to obtain representation vectors of the nodes; based on the representation vectors of the nodes, the Jaccard similarity between each pair of nodes is calculated, the Jaccard similarity is adopted, field matching is achieved through node matching, fusion matching of the database is completed, and the field matching accuracy is improved.

The invention provides a page code generation method and device, electronic equipment and a storage medium, and the page code generation method comprises the steps: determining target component configuration information adaptive to different types of fields in a JSON configuration file of a CRUD page to be developed; performing code generation based on the configuration information of each target component and a preset EJS template, and determining a front-end React Type file code of the CRUD page to be developed; wherein the preset EJS template is an EJS template which is extracted from common codes of different CRUD pages in advance based on React project specifications. By using the method, the code generator can solve the technical problems that an existing low-code development platform does not have a unified standard and is high in learning cost, and existing old project code splitting and customization extension are limited, the development efficiency of an existing reaction front-end system is greatly improved, and project iteration online time is shortened.

The invention provides a compatible system and a compatible control method of a cross-time-sequence database, and relates to the technical field of data processing, and the compatible system comprises a service kernel management module which is used for receiving preset source configuration information, creating corresponding kernel service processes according to the preset source configuration information, and controlling the start and stop of the kernel service processes, the kernel service process is used for connecting a corresponding time sequence database; the proxy module is used for acquiring request information of a client; and the data source driving module is used for accessing the time sequence database through the corresponding kernel service according to the request information and receiving a query result of the time sequence database. According to the method, efficient, flexible and compatible data access of the cross-time-sequence database is achieved, a developer only needs to achieve an interface once, the system can automatically process interaction of different types of databases, the requirement for writing specific interface codes for each type of database is reduced, and therefore the development cost of an application program is reduced.

The invention relates to the technical field of computers, and discloses a development platform mirror image generation method, device and equipment and a storage medium, the method comprises the following steps: obtaining a first development platform, configuring a lazy mirror image file on the first development platform, generating a second development platform comprising a lazy mirror image switch, and displaying the lazy mirror image switch on the second development platform; receiving an operation of clicking the lazy mirror image switch by the user; and responding to the operation to trigger making of the lazy mirror image file, converting the format of the first mirror image into a lazy mirror image according to a preset rule, and loading the lazy mirror image into a mirror image warehouse. According to the method, the amount of data needing to be loaded when the container is started is reduced, the starting time of the container is shortened, the starting speed of the container is increased, meanwhile, resource consumption when the container is started is reduced, the load of a main node in a development platform is relieved, and the use efficiency of overall resources is improved.

The invention provides a rule engine and a related product. The rule engine comprises a rule set configuration module, a rule set management module, a domain model design module, a rule execution report module, an engine execution result module, a rule factory module, a rule context module, a rule executor and a dynamic rule adding module. Compared with the prior art, the rule engine provided by the invention has the advantages that simple definition and efficient execution of the rule are realized by utilizing the advantages of the Spring framework. Compared with an existing rule engine based on XML or a specific rule language, the rule engine has the advantages that a developer is allowed to use the SpEL expression to directly define the rule, and the efficiency of the rule engine is improved.

The invention provides a quantum classical hybrid machine learning model construction system. The quantum classical hybrid machine learning model construction system comprises a data set unit, a calculation layer unit, an automatic differential unit and a model training unit. The dataset unit provides a dataset loading service, a dataset preprocessing service and a coding service which are selectable to generate a target training set. The calculation layer unit constructs an initial machine learning model based on a classic and quantum calculation layer selected or customized by a user. The automatic differentiation unit provides alternative loss function configuration service and differentiator configuration service and automatically configures a classic differentiator based on an initial machine learning model. And the model training unit provides a classic optimizer configuration service, a classic scheduler configuration service and a training method configuration service, trains the initial machine learning model into a target machine learning model based on selection of a user, and automatically updates gradient information of the machine learning model in forward and reverse propagation processes of model training.

The invention discloses an intracavity endoscope cleaning and smoke discharging device which comprises an outer sleeve, a locking fixing base, a self-debugging sealing cap, a first cover body, a second cover body, an inner core pipe, a first choke valve and a second choke valve. The camera is replaced, placed in the device, penetrates through the inner core pipe and ejects the second choke valve at the bottom of the inner core pipe, at the moment, the second choke valve is opened, in the observation process, if the camera is polluted, the camera is pulled into the inner core pipe, at the moment, the second choke valve is closed, the camera is located in the second choke valve, and a water inlet and suction switch is turned on; water flows into the inner core tube from the inside of the outer sleeve, then the water outlet and inlet suction switch is turned on, the water flows are sucked out through large suction force, meanwhile, pollutants are brought out of the inner core tube, the purpose of cleaning the camera is achieved, operation is easy, the learning cost is extremely low, and the working efficiency of doctors is improved.

The invention discloses an intelligent mouse auxiliary control method and device, electronic equipment and a storage medium, and belongs to the technical field of man-machine interaction. According to the method, by means of the computer vision technology, the action of the face of a user is captured in real time, the position of a mouse pointer is accurately calculated, and the user can achieve efficient and visual mouse control through natural movement of the face; meanwhile, due to the introduction of the Bluetooth control ring, the user can send a control signal through simple touch operation, specific operations such as clicking and dragging of the mouse are realized, and the convenience and efficiency of the operation are remarkably improved. The method is equivalent to a traditional mouse in operation precision and intuition, and the learning cost of a user is remarkably reduced. In the aspect of privacy protection, the method only depends on face key points and Bluetooth to control signals of the ring, voice information of a user is not involved, and privacy leakage is effectively prevented. According to the invention, brand new interaction experience can be brought to the user, and a new thought is provided for the development of a future man-machine interaction technology.

The invention relates to the technical field of automatic welding, in particular to a high-strength austenitic stainless steel welding process characteristic curve making method which comprises the following specific steps: S1, selecting a welding process characteristic curve according to parameters corresponding to a common stainless steel weldment; s2, re-calibrating peak energy; s3, reformulating a pulse waveform; and S4, based on an arc length prediction formula of the pulse parameters and the wire feeding speed, calculating to obtain a base value current and a pulse frequency. According to the method, the pulse welding waveform is adjusted and optimized, the single pulse energy distribution in the welding process is modified, the pulse waveform special for the high-strength austenitic welding wire is formed, the special welding process characteristic curve customized for the high-strength austenitic stainless steel welding material is invented, and then the welding manufacturability and the molten pool spreadability of the high-strength austenitic stainless steel are optimized.

The invention provides a semi-automatic laminating device for LCM (Liquid Crystal Module) screen edge-covering glue, which comprises a shell, a laminating assembly and a power mechanism are connected in the shell, and the laminating assembly and the power mechanism are connected with each other; the power mechanism comprises a main shaft connected to the interior of the shell body, and the outer surface of a shaft body of the main shaft is sequentially connected with a cylindrical surface guide wheel and a guide cam; the attaching assembly comprises a cylindrical surface guide wheel push rod in sliding connection with a guide groove in the outer surface of the cylindrical surface guide wheel and a guide cam push rod in sliding connection with a guide groove in the outer surface of the guide cam, and the top end of a rod body of the cylindrical surface guide wheel push rod and the top end of a rod body of the guide cam push rod are both connected with a transmission block. According to the invention, two cams are used for guiding, so that the action of binding adhesive bonding is completed, and the design cost of automation is reduced.

The invention provides a data security auditing method and system for Azure cloud, and the method comprises the steps: S1, obtaining an access token and a refreshing token according to a credential request token provided by a user; s2, reading log information according to the access token, processing the log information, matching the log information with a predefined rule, detecting records which may have abnormalities, and then auditing identity management, access management and services which may have backdoors in the tenants by the system to obtain an auditing result; and S3, producing a safety audit report according to the audit result. According to the Azure data security auditing method and system, the security condition of the Azure tenant can be audited comprehensively, the audit coverage rate of common risk configuration items is increased by 35% and reaches 90% compared with that of an existing Azure security auditing tool, and comprehensive Azure data security auditing is achieved.

The invention provides a machine learning modeling platform and method, electronic equipment and a medium. The machine learning modeling platform comprises a data management module, an algorithm library module and a model training module, wherein various machine learning models are stored in an algorithm library of the algorithm library module; the data management module is used for acquiring original training data and performing preprocessing and feature engineering on the original training data to obtain training set data; the algorithm library module is used for obtaining a target model from an algorithm library in response to user operation; wherein the operation of the user comprises one of the following operations: a click operation, a drag operation and an input operation; and the model training module is used for performing model training on the target model by using the training set data based on the distributed computing framework to obtain a trained model. According to the method, the usability of the platform and the calculation efficiency of model training are improved.