9results about How to "Generate intelligence" patented technology

The invention discloses a full-induction type intelligent digital interaction system based on cloud edge computing driving. The full-induction type intelligent digital interaction system comprises the following steps: step S1, voice input and understanding; s2, environment perception and analysis; s3, generating response content; s4, matching the response voice with the action; s3, converting the response content in the step S3 into response voice, and synchronously generating corresponding action data; the data character image on the display screen is driven to perform corresponding action through the action data; and S5, continuously collecting user interaction data by the system, and continuously optimizing response content and an interaction mode by the system through big data analysis and a machine learning algorithm. According to the method, through the steps of voice input and understanding, environment perception and analysis, personalized learning optimization and the like, the system can understand user requirements, analyze the situation where the user is located and intelligently generate personalized response content, and therefore the interaction experience of the user and the system is improved.

The invention provides a method and a system for generating a performance ability report of a licensed pedestrian based on a large model, electronic equipment and a storage medium, and aims to solve the problem that a result may be misjudged due to the fact that a high-consumption record only depends on simple keyword matching, the method comprises the following steps: uploading payment detail data of the licensed pedestrian, and performing data cleaning; according to the case judgment file, extracting case key information including a file number, a case target, a licensed pedestrian name and a destination; inputting the cleaned payment detail data, understanding the consumption type and the consumption place by the large model, and outputting a consumption result; the output consumption result is matched with the target place and law and regulation information of the permitted pedestrian, and the high consumption behavior of the permitted pedestrian and the consumption behavior necessary for non-production life are judged; and a permitted pedestrian performance ability report is generated accordingly. According to the method and the device, the aim of generating the personal performance ability report more intelligently and more accurately can be achieved, and the efficiency of legal work is improved.

The present invention relates to the technical field of data processing, and discloses a collaborative control method and system for CNC machine tools, including: performing multi-model fusion analysis on standardized parameter data sets to obtain machine tool working state prediction data; performing adaptive parameter optimization calculation on machine tool working state prediction data to obtain target processing parameter combinations; performing dynamic allocation processing on the target processing parameter combinations to obtain collaborative processing strategies and control multiple CNC machine tools to perform real-time processing, performing control analysis on real-time measurement data and collaborative processing strategies, obtaining quality compensation instructions and performing fault mode identification, obtaining fault prediction results and performing control instruction analysis, and generating collaborative control instructions. In the present invention, the accuracy of machine tool working state prediction is improved through multi-model fusion analysis; the adaptive parameter optimization calculation realizes the dynamic optimization of processing parameters, improves the efficiency of multi-machine collaboration, and the dynamic allocation processing mechanism realizes the intelligent collaborative operation of multiple machine tools.

The invention discloses an automatic control generation method and system, equipment and a storage medium, and belongs to the technical field of computers.The automatic control generation method includes the steps that requirements of a user for controls are collected and analyzed, and the requirements of the user for the controls are converted into semantic vectors capable of being understood by a computer through a natural language processing technology; the missing data and the abnormal data are processed by using a Pandas library, and the collected demand data are cleaned, labeled and formatted; training a deep learning model by using the labeled formatted data set, so that the deep learning model can accurately understand user requirements and generate corresponding codes and styles; and inputting the user demand data into the deep learning model, and generating a source code and a style file of the control according to the output of the deep learning model. According to the method, the source code and the style of the control can be intelligently generated according to the demand description input by the user, automatic conversion from the user demand to the code and the style is realized, and the development efficiency of the control is greatly improved.

The present invention belongs to the field of machine learning and enterprise risk control, and specifically relates to a method and system for generating a financial analysis report, comprising the following steps: obtaining the financial data of an enterprise, performing data preprocessing, and generating a standardized financial data set; constructing the generated standardized financial data set into a standardized data set with a graph structure; based on the standardized financial data set with a graph structure, using a vector quantization variational autoencoder for discretization encoding to generate a discrete token sequence; using the discrete token sequence as the input of an original large language model, using the LoRA fine-tuning technology to fine-tune the model, and generating an optimal large language model; weighting the original large language model and the optimal large language model to generate a financial analysis report based on new financial data.

This invention discloses a multi-scenario smart elderly care service matching and media push system and method, belonging to the field of elderly care service management technology. It includes: a file management unit, a demand analysis unit, a service generation unit, a service control unit, and an industry-end empowerment unit. The file management unit is used to construct and dynamically update the user's full-dimensional data file; the demand analysis unit is used to complete the multi-dimensional tagging modeling and scenario-based precise service demand of users; the service generation unit is used to generate customized elderly-friendly service solutions corresponding to the target scenario; the service control unit is used to track and control the implementation of the customized elderly-friendly service solutions throughout the entire process, realizing the dynamic iterative update of the full-dimensional data file; and the industry-end empowerment unit is used to provide digital, multi-media push operation services.

The present application relates to the field of big data, and in particular to a report file generation method, device, computer equipment and storage medium. The method includes: obtaining original report data; identifying and marking the data type of each report sub-data in the original report data; receiving a selection instruction for a component through a display interface, and displaying the selected component on the display interface according to the selection instruction, the component is used to display the report sub-data in the original report data, and the selection instruction carries the component identification of the selected component; based on the association relationship between the preset data type and the component identification, determining the report sub-data corresponding to the selected component, and displaying the report sub-data through the component; obtaining the attribute information of the component in the display interface, and generating a report file according to the attribute information and the report sub-data displayed in the component. The present method can generate a report file intelligently.

The invention discloses a picture generation method and device, and relates to the technical field of artificial intelligence and electronic commerce. A specific embodiment of the method comprises the following steps: in response to a received picture generation request, analyzing picture parameters from the picture generation request; determining at least one alternative picture template from a preset picture template library according to the picture parameters; respectively generating corresponding alternative pictures according to the picture parameters and each alternative picture template, and sending each generated alternative picture to a requester of the picture generation request; and in response to a picture selection instruction sent by the requester, taking a picture selected by the requester from the alternative pictures as a response result of the picture generation request. According to the embodiment, the alternative pictures corresponding to the alternative picture template are automatically generated through the picture parameters, so that the requester can select the required picture from the alternative pictures, and the fast, efficient, flexible and intelligent picture generation method is realized.

The one or more embodiments of the specification provide a 3D digital pattern generation method, device, electronic equipment and storage medium. The method comprises: in response to a pattern designation operation, obtaining a designated 2D pattern and determining a corresponding pattern coverage area; determining a target material and at least one corresponding target basic manufacturing process, wherein each target basic manufacturing process has a corresponding target process simulation algorithm; and generating a 3D digital pattern matching the pattern coverage area using the target process simulation algorithm, wherein the 3D digital pattern has the target material. The method can improve the generation quality and efficiency of the 3D digital pattern, and improve the reusability of the 2D pattern.