24 results about "Process guidance" patented technology

The invention discloses a smelting process monitoring system of a medium-frequency electric furnace and a process guidance method of the smelting process monitoring system. The system comprises an edge acquisition terminal and a cloud platform, the edge acquisition terminal comprises an intermediate frequency voltage transmitter used for acquiring a voltage signal at the output side of the intermediate frequency electric control cabinet and converting the voltage signal into a first analog signal; the intermediate-frequency current transmitter is used for collecting a current signal at the output side of the intermediate-frequency electric control cabinet and converting the current signal into a second analog signal; the analog quantity conversion module is used for converting the first analog signal and the second analog signal into digital signals; the intelligent thermodetector is used for measuring the temperature of the molten metal in real time and sending temperature data; the cloud platform is used for receiving and processing the digital signal and the temperature data and storing high-frequency sampling data; identifying a smelting stage through an LSTM network; power control is optimized on the basis of a Transform model and a GAN model; and integrating an expert knowledge base and providing process guidance. According to the system, comprehensive digitization and real-time accurate sensing of the smelting process are achieved; and the timeliness and scientificity of decision making are improved.

The invention discloses an intelligent pre-class meeting system based on artificial intelligence, which relates to the technical field of artificial intelligence and comprises a data acquisition module, a central processing module, an intelligent generation module, a process guidance module, a real-time monitoring module, a summary generation module and an assessment module. The invention further discloses an intelligent pre-class meeting method based on artificial intelligence. According to the intelligent pre-class routine meeting system and method, through the data acquisition and central processing module, deep integration and analysis of headquarter policy documents and branch company operation data are achieved, it is ensured that the meeting content closely meets the actual service requirement, the intelligent generation module combines the branch company operation data, the issue priority is dynamically adjusted, and the meeting efficiency is improved. The personalized conference agenda is generated, the pertinence and effectiveness of the conference are improved, the conference process is monitored and managed in real time through the application of the real-time monitoring module and the process guiding module, and the problem that the conference deviates from the theme is effectively avoided.

The present invention provides a virtual-reality fusion process guidance method and system for human-machine collaborative drilling and riveting. The method guides human-machine collaborative drilling and riveting by adopting a virtual-reality fusion display method, including the integration of augmented reality information display, force display, robot control and other functions. The augmented reality information display can save workers the time and energy of consulting and memorizing various types of information. The force display is conducive to accurate force control. The control of the robot by the augmented reality device can reduce the operation of workers such as movement, thereby improving work efficiency.

The invention discloses a laser welding device for automobile part machining, and relates to the technical field of laser welding devices. The collected image data is screened through the analysis module to obtain an analysis image, the number of splashes is deeply analyzed and judged, abnormal conditions occurring in the welding process can be found in time, welding defects caused by the problems of too high laser power, too high welding speed and the like in the welding process can be found in time, and the welding quality is improved. A large number of unqualified products are prevented from being produced, so that the welding quality of automobile spare parts is guaranteed; a worker can immediately adjust the welding process without detecting and reworking after the production of a product is finished, so that the production interruption and the generation of waste products caused by welding defects are reduced, and the production efficiency is effectively improved; the welding process is monitored and fed back in real time, reasons causing abnormal welding are analyzed, then the welding process is optimized, and more reasonable parameter setting and process guidance are provided for subsequent welding production.

A device and method for compositely manufacturing a metal component based on additive and subtractive materials assisted by pulse current comprises an intelligent control system, and the intelligent control system regulates and controls work switching of an additive manufacturing module, a subtractive machining module and a pulse current auxiliary module and provides process guidance feedback for the additive manufacturing module, the subtractive machining module and the pulse current auxiliary module. On the basis of acquisition information of the surface temperature and the geometric dimension of a component, forming process parameters of additive manufacturing, a cutting strategy of subtractive machining and input of pulse current are adjusted in real time, a pulse current auxiliary module acts on the whole process of additive and subtractive alternate forming, and preheating and slow cooling functions are achieved in the additive manufacturing stage; the surface machinability is improved in the subtractive machining stage; the three-in-one ordered integration of the material increasing module, the material decreasing module and the pulse current processing module under the centralized control of the intelligent control system is realized, and the technical problems of metallurgical defect control, machining precision control and manufacturing cost control in the material increasing and decreasing forming period are solved.

This technology belongs to the field of assembly manufacturing, and specifically relates to a manual assembly operation process guidance system for the discrete manufacturing industry. The assembly process guidance system includes a process design module, a process projection guidance module, and a state detection module. The process design module is used to generate a three-dimensional structured process data packet for the assembly; the process projection guidance module realizes the virtual-real fusion of the process guidance model and the physical object, projects the projection surface and process information at the specified position of the assembly object, and presents it to the operator in an intuitive form; the state detection module is used to inspect the assembly results. The assembly process guidance system can avoid mistakes such as confusion, forgetfulness, and transition operations, minimize non-value-added operations such as process document review and labeling, and improve product assembly efficiency and quality stability.

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.

The present application relates to the technical field of industrial intelligent platforms, and in particular to an intelligent processing system and method for the entire process of R&D experiments based on the Internet of Things, which includes: an acquisition module for collecting raw data from each link; an Internet of Things platform for classifying and storing the raw data; a local knowledge base for acquiring the raw data and retrieving associated local data; an intelligent processing module for performing comparative analysis based on the raw data and associated local data to generate and distribute guidance strategies for process guidance, and also for obtaining feedback results; the intelligent processing module uses the adjusted data as full-process data based on the feedback results, and also generates a design assistance strategy based on the feedback results; a design module for uploading design object information, acquiring corresponding full-process data to formulate basic parameters, and obtaining a design assistance strategy for assisting comparison. The present application has the effect of connecting and associating data in all manufacturing links to propose guidance strategies for each link.

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.

This invention discloses a laser welding device for processing automotive parts, belonging to the field of laser welding device technology, including a base plate. The invention uses an analysis module to filter and analyze the collected image data, and further analyzes and judges the amount of spatter, enabling timely detection of abnormalities during the welding process. It can promptly identify welding defects caused by problems such as excessive laser power or excessive welding speed, avoiding the production of a large number of defective products and thus ensuring the welding quality of automotive parts. Workers can immediately adjust the welding process without waiting for product completion for inspection and rework, reducing production interruptions and scrap caused by welding defects and effectively improving production efficiency. By monitoring and providing feedback on the welding process in real time, the causes of welding abnormalities can be analyzed, thereby optimizing the welding process and providing more reasonable parameter settings and process guidance for subsequent welding production.

The invention relates to the field of education equipment, and provides a mathematical modeling teaching interaction device supporting multi-user cooperation, which comprises a central cooperation main screen, a plurality of student interaction terminals, a data interface module, a modeling logic module, a real-time recording and feedback module and a teacher control and evaluation terminal. According to the mathematical modeling teaching interaction device supporting multi-user cooperation, through innovative designs such as advanced multi-point touch control technology, flow guide, intelligent data import and automatic recording evaluation, visualization, interaction and individuation of the teaching process are effectively achieved. The system breaks through the limitation of traditional mathematical modeling teaching, greatly enhances the learning interest and actual operation capability of students, and improves the teaching efficiency and quality.

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 discloses a stator guider assembly process detecting and guiding method based on an action sequence, which belongs to the technical field of assembly assistance and comprises an action recognition module, a data acquisition module, a comparison judgment module and a process guiding module. The action recognition module adopts an ST-GCN algorithm to perform action recognition; the gesture data acquisition module adopts a Leap Motion somatosensory controller to acquire assembly gesture 3D skeleton point data; the comparison and judgment module is used for forming an action set by the data obtained by ST-GCN classification within a period of time, performing cross comparison on the action set and a preset process action to obtain which step the current assembly is in, and judging whether the current assembly is correct or not; and the process guiding module is used for pushing the next assembly process action through AR (Augmented Reality). Through the assembly process monitoring and guiding method, the assembly action can be accurately identified, and the correctness of the assembly steps can be judged in real time, so that the assembly efficiency and accuracy are improved, and the manual training cost is reduced.

The invention provides a process optimization method and system, electronic equipment and a storage medium. The process optimization method comprises the steps that image information of a cutting section is acquired; according to the image information of the cutting section, surface features of the cutting section are obtained, and the surface features of the cutting section comprise slag adhering information of the cutting section, texture curve fitting information of the cutting section and roughness information of the cutting section; inputting the surface features of the cut section into the quality optimization model to generate a process parameter optimization result; and optimizing the cutting process based on the process parameter optimization result. Therefore, quality feedback and process guidance can be effectively carried out in real time, the surface characteristics of cutting sections such as slag adhering, texture curve fitting and roughness are comprehensively considered, higher accuracy and comprehensiveness are achieved, the laser cutting process is optimized in real time, and the cutting effect and cutting efficiency of the laser cutting process are 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 relates to a vehicle dispatching process management method and device. The method comprises the following steps: acquiring images of a vehicle at each node, and determining a current geographic position and a license plate number of the vehicle according to the images; determining a goods type corresponding to the vehicle and a target shipping process node set corresponding to the vehicle according to the license plate number, and generating a target path based on the goods type; searching a corresponding position node in the target forwarding process node set according to the current geographic position, and updating the target path in real time according to the position node; according to the updated target path, performing path marking on a dispatching site map, and generating a site information packet including site map information; and the target application program generates a field map based on the field map information or adds the field map information to the original map information according to a map fusion method to generate a new extended map for vehicle flow guidance. According to the invention, the process path of the vehicle can be accurately and timely recorded and displayed, the field map can be generated to guide the correct process path for the user, and the dispatching efficiency is improved.

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.