13 results about "Process description" patented technology

The application discloses a design method and device of a silicon optical circuit, a storage medium and an electronic device. The method comprises the following steps: obtaining an optical design file input by a user and a preset process description file, and analyzing the optical design file and the process description file to obtain design parameters of the silicon optical circuit; generating path parameters meeting a first target dimension constraint condition based on the design parameters through a pre-trained path generation network; wherein the first target dimension at least comprises a geometric dimension, an optical dimension and a process dimension; constructing a path geometric model based on the path parameters, converting the path geometric model into layout data under a target process, and generating an initial layout file of the silicon optical circuit based on the layout data; performing photoelectric consistency verification on the initial layout file, and determining a target layout file corresponding to the initial layout file based on a verification result. Through the technical scheme provided by the application, the layout and wiring of the silicon optical circuit can be optimized to meet the design requirements of the silicon optical circuit.

This application provides a method, apparatus, device, medium, and program product for developing business process software. It relates to the field of financial technology. The method includes: responding to receiving a visual orchestration topology diagram constructed by a user through a preset visual orchestration editor; generating an operation instruction set corresponding to the visual orchestration topology diagram using a preset semantic bridging compiler; constructing an intermediate description model based on the operation instruction set and generating a structured process description file; determining a target program design pattern based on the intermediate description model; and generating corresponding application code based on the target program design pattern and the structured process description file. This method allows business personnel to directly design processes through a visual interface and generate code in real time, significantly shortening development time. The code structure based on the program design pattern ensures high cohesion and low coupling, reduces human error, and is easy to extend and maintain.

This application provides a text processing method, apparatus, computer device, and readable storage medium. The method includes: acquiring business text provided by a business object for a business task, historical text associated with the business task, and a process description syntax corresponding to the business task; the process description syntax includes S process operations of a workflow; modifying the process description syntax according to the historical text to obtain a modified process description syntax corresponding to the business task; the modified process description syntax includes N process operations that can be executed after executing the process operations corresponding to the historical text; determining the modified process description syntax as prompt words; inputting the business text, historical text, and prompt words into a large language model; outputting candidate output text through the large language model; and determining the response text used to reply to the business text in the business task based on the candidate output text and associated process operations. This application can improve the reliability of text responses.

A method, (e.g., a computer-implemented method), of generating a production plan is provided. The method includes obtaining one or more product and / or production characteristics, (e.g., a production content, a production time, and / or a production quantity, for example, in a E-BOM, M-BOM, and / or CAD file format), for a product to be manufactured. The method further includes determining, by a rule engine, based on the one or more product and / or production characteristics, one or more library elements from a plurality of library elements, wherein each library element includes one or more process descriptions relating to the characteristic. The method further includes arranging, by the rule engine, the one or more process descriptions into a production plan.

The invention provides a customer service statement generation method and device, and belongs to the technical field of natural language processing. The method comprises the steps of obtaining a preset flow description text corresponding to a target dialogue scene, wherein the preset flow description text is textualized representation of a preset flow chart; analyzing the preset flow description text, and adding mark text information corresponding to elements of a preset flow chart in the preset flow description text to obtain a structured description text; and according to the structured description text, constructing prompt information, and based on a preset question and answer model, according to the prompt information, generating a dialogue customer service statement corresponding to the target dialogue of the user. According to the embodiment of the invention, organic unification of intelligence and certainty of customer service statement generation can be realized.

This invention relates to a task allocation method, apparatus, device, medium, and program product. In this method, the historical similarity allocation gain and matching value corresponding to each task are determined based on the task execution environment description text, multiple historical task execution process description vectors, the capability parameters of each mobile device to be allocated, and the requirement parameters of each task. The task execution cost corresponding to each task is calculated based on the location and speed of each mobile device to be allocated, as well as the task location and preset basic cost of each task. A single-objective optimization model is then constructed and solved to obtain the allocation result for each mobile device to be allocated and each task. This solution, by constructing a single-objective optimization model and solving it using matching value, historical allocation gain, and task execution cost, can improve the matching degree between mobile devices and tasks.

A video of a manufacturing process, along with accompanying narration and other descriptive materials, can be used to automatically generate an application for control of the manufacturing process, or assist in a semi-automated generation of the application. As a significant advantage, a generative artificial intelligence system can support the application creation process by providing domain-specific process knowledge and no-code / low-code programming tools to convert general process descriptions into an application that is executable in the manufacturing environment for the process.

The application relates to an intelligent agent code-free task arrangement method, system, device and medium, which comprises the following steps: receiving a natural language instruction input by a user, acquiring dynamic knowledge related to the semantic of the natural language instruction, performing a timeliness verification operation on the dynamic knowledge, and generating an instruction-knowledge association set; performing semantic analysis on the instruction-knowledge association set, extracting a core intention and a key entity, performing a task disassembly operation based on the core intention and the key entity, and generating a subtask set; based on the subtask set, matching a target intelligent agent from a pre-constructed intelligent agent capability library to obtain an intelligent agent matching result; based on the intelligent agent matching result, generating an intelligent agent collaboration process; performing a file conversion operation on the intelligent agent collaboration process to obtain a standardized process description file; and outputting the standardized process description file to a visual interface for user confirmation. The application has the effect of improving the collaborative execution efficiency of intelligent agent arrangement.

The invention provides a part graph process identification processing method, which comprises the following steps: acquiring a drawing data set which comprises a plurality of graph objects and text marks; splitting the drawing data set into a first processing subset and a second processing subset; performing grouping processing on the graphic objects and the text marks in the first processing subset to obtain a plurality of grouping sets; performing attribute extraction on the grouping set to obtain a plurality of attribute feature sets; performing grouping processing on the graphic objects and the text marks in the second processing subset to obtain a plurality of different pieces of grouping information; inputting the grouping information into the attribute feature set to obtain an extraction result; performing process judgment according to the extraction result, and generating process description content; and classifying the graphic object and the text mark according to the process description content to generate a final process text.

The invention relates to the technical field of computers, in particular to an intelligent data processing method based on large model atomization packaging and batch processing arrangement, which comprises the steps of constraint set construction, constraint treatment and verification, target constraint set determination, flow description generation and batch processing arrangement and controlled output. According to the method, the executable constraint set is generated by inputting the constraint configuration submitted by the user and is included in the configuration management, so that the constraint is promoted from a single session prompt to a reusable configuration object, the operation cost caused by cross-session and cross-task repeated setting of the constraint is reduced, and the sustainable use capability of the constraint in a platform processing task is improved.

Some devices, systems, and methods receive a production-system description that describes respective operations that can be performed on workpieces by each of a plurality of machines and that describes capabilities of one or more robots to transfer the workpieces to and from each of the plurality of machines; receive a process description that describes at least one sequence of process operations to be performed on a workpiece; construct a plurality of transfer chains by recursively generating transfer chains based on a production-system state, the process description, and on the production-system description; and select a particular transfer chain of the plurality of transfer chains based on one or more selection criteria.

A video of a manufacturing process, along with accompanying narration and other descriptive materials, can be used to automatically generate an application for control of the manufacturing process, or assist in a semi-automated generation of the application. As a significant advantage, a generative artificial intelligence system can support the application creation process by providing domain-specific process knowledge and no-code / low-code programming tools to convert general process descriptions into an application that is executable in the manufacturing environment for the process.

The invention discloses a test processing method and computer equipment, and relates to the field of artificial intelligence and automatic testing, input information is received, the input information is natural language expression of a user for a test demand, the input information is processed based on a first model, and a test process description used for meeting the test demand is generated; the test process description comprises a plurality of structured test steps, then identifying a target skill required by the test steps through a first agent, and calling a target test script for realizing the target skill to execute a test operation based on a pre-established mapping relationship between the skill and the test script to obtain test execution data; wherein the first intelligent agent is configured to be an intelligent agent used for test execution and has a skill library containing a mapping relation.