12 results about "Process guidance" patented technology

The invention relates to the technical field of sheet metal part bending processes, and discloses a bending process verification method and system based on multi-source parameter linkage, and the system comprises a drawing information acquisition module, an automatic parameter calling module, a parameter analysis and calculation module, a bending process quadruple verification module and a verification result output module. The method comprises the steps of obtaining design parameters of a bent part through a design drawing, receiving empirical values input by a user, completing automatic calling of the parameters through a built-in material mapping function and a built-in equipment mapping function, calculating key process parameters through a preset mathematical formula based on output parameters and a calling result of a primary parameter calling layer, and determining the bending degree of the bent part on the basis of the key process parameters. And performing quadruple verification on the bending process by combining a calling result of the secondary parameter calling layer, outputting process guidance data, realizing automatic parameter mapping, and compressing process analysis time.

This invention discloses a method for monitoring the welding process quality of a volute housing seat ring, comprising deploying a digital dial indicator and configuring a wireless data acquisition module to establish a deformation data acquisition and transmission link; acquiring deformation data in parallel through multiple channels of the link and performing preprocessing; constructing a deformation monitoring model based on the preprocessed data, calculating the risk rate of a single measuring point, and then calculating the joint risk rate of multiple measuring points; and synchronizing the data to multiple terminals and performing interactive adaptation. This invention replaces manual reading with a high-precision digital dial indicator and wireless automatic acquisition, achieving objective and accurate acquisition and real-time early warning of deformation data; by constructing a deformation monitoring model and a quantitative model of the joint risk rate of multiple measuring points, it accurately characterizes the deformation correlation of multiple measuring points, realizing quantitative prediction of the overall structural deformation risk and proactive process guidance; and through multi-terminal data synchronization, it achieves traceability of the entire welding cycle data of the volute housing seat ring and multi-scenario adapted closed-loop monitoring, while being compatible with existing processes, thus improving the level of quality control.

The invention discloses an intelligent anti-misoperation management and control method and system for switching operation of a transformer substation. According to the method, a switching operation knowledge graph is constructed and dynamically updated by obtaining the topology and real-time state of substation equipment, and a compliance operation ticket sequence is intelligently generated; further, loading a current state in a virtual simulation environment to carry out full-step simulation rehearsal on the operation ticket, and calculating feasibility and safety of prospective verification operation based on electrical quantity; and after the rehearsal is passed, the operation order is converted into a sequential execution instruction set, and the anti-misoperation locking device is linked in the actual operation to carry out real-time monitoring and forced process control of one step and one check. According to the invention, closed-loop control from intelligent ticket forming, simulation verification to field execution is realized, the problem that a traditional anti-error system depends on a static rule and lacks prior verification and process guidance is effectively solved, and the safety, normalization and efficiency of switching operation are remarkably improved.

The invention provides a visual impaired student running process guiding method and system based on AI vision, and relates to the technical field of image processing, and the method comprises the steps: obtaining running environment visual data, an obstacle position image and a visual impaired student position image; constructing a runway space model according to the running environment visual data; extracting real-time positions of the visually impaired students and the obstacles in the runway coordinate system; running environment trafficability judgment is carried out on the visually impaired students; when the judgment result is that the running path is passable, running path planning is carried out, and otherwise, a safety evasion strategy is executed; according to the real-time position of the visually impaired student and the real-time position of the obstacle, a running path of the visually impaired student is planned, and an optimal running path is obtained; calculating a deviation state between the visually impaired student and the optimal running path in real time; according to the deviation state, performing yaw adjustment on the running direction of the visually impaired student to obtain a running following instruction; and guiding the visually impaired student to run according to the running following instruction.

The application provides an AI vision-based process guiding method and system for visually impaired students running, and relates to the technical field of image processing, which comprises the following steps: acquiring running environment visual data, obstacle position images and visually impaired student position images; constructing a running track space model according to the running environment visual data; extracting real-time positions of the visually impaired student and the obstacles in the running track coordinate system; determining the running environment passability of the visually impaired student; when the determination result is passable, planning a running path, otherwise, executing a safety avoidance strategy; planning a running path for the visually impaired student according to the real-time position of the visually impaired student and the real-time position of the obstacles, and obtaining an optimal running path; calculating the deviation state between the visually impaired student and the optimal running path in real time; adjusting the yaw of the running direction of the visually impaired student according to the deviation state to obtain a running following instruction; and guiding the visually impaired student to run according to the running following instruction.

The invention provides a mapping generation method and system for a staged adaptive voice interaction form and a medium, and relates to the technical field of man-machine interaction. According to the method, in the development stage, a form UI structure and control semanteme are obtained in a non-intrusive mode through a front-end SDK, a semantic mapping template is automatically generated by utilizing a large language model, and the semantic mapping template is automatically generated; establishing accurate association between the form items and the voice keywords, and embedding the form items and the voice keywords into a host application; and switching to a lightweight mode at the online stage, loading a template, starting a local lightweight text analysis and speech recognition model, efficiently outputting structured field value pairs in combination with user speech input, and driving automatic backfilling, multi-mode prompting or process guidance. Development and online stage decoupling and mapping logic curing are carried out in the development period, a large model or source code modification is not needed after online, the semantic understanding accuracy is guaranteed, meanwhile, resource consumption and the system coupling degree are remarkably reduced, and universality, deployment efficiency and user experience are improved.

The invention discloses a method for generating data table design information. The method comprises the steps of obtaining first prompt information and second prompt information in response to a data table design request; first prompt information and second prompt information are provided for a data table design model, so that the data table design model generates initial data table design information according to the first prompt information, the second prompt information and a target knowledge base associated with the data table design model, and the target knowledge base is used for storing at least one sample data table; providing second prompt information and the initial data table design information for a data table design model, so that the data table design model generates target data table design information corresponding to the generation request of the data table design information according to the second prompt information and the initial data table design information, and displaying the target data table design information, role process guidance, sample experience reuse and iterative optimization are realized, standard and accurate data table design is output, and quality and efficiency are improved.

The size control method comprises the following steps: providing a titanium alloy forge piece blank and carrying out heat treatment according to a manufacturing process; a plurality of samples are cut from the titanium alloy forge piece blank according to the depth gradient; respectively carrying out mechanical property test and microscopic structure analysis on the sample; fitting calculation is carried out on a mechanical property test result and the depth and a microscopic structure analysis result and the depth; and according to the fitting calculation result and the design requirement of the titanium alloy forge piece, the allowable reserved machining allowance of the titanium alloy forge piece blank is obtained through calculation. According to the method, the relationship between the size and the performance of the large titanium alloy forge piece can be quantitatively established, process guidance is provided for forging of the titanium alloy forge piece, the machining efficiency is improved, and the production cost is optimized.

This application provides an intelligent question-answering and process guidance method and apparatus for ecological and environmental affairs. Through entity recognition and semantic representation, it achieves accurate query parsing. A guidance mechanism is constructed, combining business graphs and scenario recommendations to establish reliable service guidance strategies. Early warning optimization is introduced, ensuring continuous service improvement through risk prediction and feedback learning. This method effectively addresses the shortcomings of traditional technologies in intent understanding, process guidance, and risk early warning, providing technical support for ecological and environmental affairs services.

The invention discloses a system for generating a process guidance file. The system comprises a data interaction module; the user verification module is configured to perform identity verification according to login information input by a user through the data interaction module and based on a pre-constructed user database according to the login information; the template generation module is configured to generate a corresponding target template according to an attached drawing demand input by a user, and the target template comprises a plurality of to-be-filled information areas; the data filling module is configured to perform data filling on each to-be-filled information area according to the process data so as to obtain a filled template; and the file generation module is configured to convert the filled template into a target file according to a file generation instruction, and output and display the target file through the data interaction module. According to the technical scheme of the invention, the rapid and intelligent compiling of the process guidance file can be realized, the manufacturing problems caused by manual compiling errors can be reduced, the repeated work can be reduced, and the compiling time of the process guidance file can be greatly shortened.

The invention discloses a mechanical part assembly process traceability management system based on RFID, and particularly relates to the field of intelligent manufacturing and industrial automation, and the system comprises an electronic work instruction module which is used for constructing a dynamic assembly technology knowledge base and generating an electronic work instruction with a unique traceability code; the intelligent accessory carrier module is used for storing accessory identities (ID) and dynamic assembly data by using passive UHF RFID tags in a partitioned manner; the distributed control node module is integrated with an RFID read-write unit, a condition verification unit and an instruction execution unit, and is responsible for data interaction, execution condition verification and process guidance; and the assembly process logic engine module is used for dynamically analyzing process logic, triggering verification and driving state updating. According to the method, physical accessories are upgraded into intelligent data carriers, and distributed control and a logic engine are combined, so that real-time sensing, active mistake proofing, whole-process accurate tracing and dynamic scheduling of the assembly process are realized, and the assembly quality, efficiency and traceability are effectively improved.