7results about How to "Realize automatic execution" patented technology

The application discloses a kind of furniture raw material vertical warehouse management systems, including raw material warehousing end, raw material delivery end, backing plate storage area and stacking machine, raw material warehousing end and raw material delivery end are sequentially provided with raw material storage area, raw material pre-sorting area and portal frame area between them, raw material storage area is provided with a plurality of raw material storage library sites on it, a plurality of raw material pre-sorting library sites are provided in raw material pre-sorting area, a plurality of portal frame subareas are provided in portal frame area, a plurality of portal frame buffer library sites are provided in portal frame subarea, and the portal frame that raw material placed on portal frame buffer library site is transported to delivery, the system further includes the host computer of control stacking machine and move raw material and backing plate between each area, the host computer can according to production task raw material of production demand is pre-transported to raw material pre-sorting area from raw material storage area, to facilitate timely feeding to cutting equipment, improve production efficiency and equipment utilization.

This invention relates to a device and method for measuring the depth of the center hole of a large bearing, belonging to the field of bearing inspection technology. It includes a coordinate measuring instrument with guide rails on both sides. A sliding seat is mounted on the outside of the two guide rails. A first cylinder is mounted at the lower end of the sliding seat, and a fixed base is fixedly connected to the output end of the first cylinder. A rotary motor is mounted at the center of the bottom end of the fixed base, and a rotating disk is fixedly connected to the output end of the rotary motor. Industrial cameras are fixedly connected to the bottom ends of both sides of the fixed base. A centering component is mounted at the bottom of the rotating disk, which positions the center of the bearing using probes. A roundness measuring component is mounted on one side of the centering component, used to detect the roundness of the bearing. This invention achieves automatic calculation and calibration of the center position by using the centering component and dual probes for coordinated positioning, combined with the data analysis function of the coordinate measuring instrument.

An embodiment of the present disclosure provides a method for providing digital production planning information, comprising: providing an extensible software model and a logic set for generating production planning data to a client; receiving first input data comprising benchmark information of a manufacturing production system and second input data for parameter setting; and based on the first input data and the second input data, performing at least one of learning, evaluation, operation, deployment and management on at least one strategy to provide production planning data to the client.

This invention discloses a knowledge graph-based financial information management method, comprising the following steps: S1, collecting multi-source heterogeneous financial data to generate an initial financial dataset; S2, extracting financial entities and semantic relationships, constructing a set of triples to form an initial financial knowledge graph; S3, performing semantic enhancement processing to construct a semantically enhanced financial graph; S4, setting a graph update scheduling mechanism, performing dynamic update operations, and generating a dynamic graph structure; S5, inputting the graph into an improved NodeFormer model and outputting risk path identification results; S6, constructing a graph semantic question-and-answer structure and outputting structured query response results; S7, constructing a graph visualization module to generate graph analysis views and audit suggestion results. This invention improves the accuracy and tracking capability of risk paths in financial data, effectively enhancing the transparency, response efficiency, and risk control capabilities of the financial audit process.

The invention discloses an autonomous health automatic test system and method based on semantic model driving, and belongs to the technical field of autonomous health test, and the method comprises the steps: receiving a natural language test instruction input by a user, converting the natural language test instruction into a prompt word sequence executable by a large model, interacting with the large model, and receiving an execution instruction fed back by the large model; according to an execution instruction sent by the large model interface module, calling a corresponding underlying function to extract autonomous health data from a database, driving test execution through telemetry data received by a test system interface, generating a remote control instruction, sending the remote control instruction outwards through the test system interface, and judging a test result. Through large model semantic driving, automatic execution of autonomous health test logic is realized, and the downloaded autonomous health event report is automatically judged.

The invention relates to the technical field of intelligent medical treatment, and discloses an infant nursing auxiliary system and method based on big data, and the system comprises a multi-modal data collection module, a big data processing and analysis module, an intelligent decision module, an execution control module, and an interaction and remote management module. The method corresponds to the system. According to the invention, multiple types of data of children are collected in real time, omnibearing monitoring is realized, and a foundation is built for subsequent analysis; meanwhile, the collected data is processed and modeled, a health behavior model is generated, and the scientificity of data utilization is effectively improved; secondly, by calling the health behavior model, accurately identifying abnormal conditions, predicting nursing requirements and generating corresponding instructions, errors caused by manual judgment are greatly reduced; in addition, external equipment is controlled to automatically carry out nursing intervention according to the instruction, and the response speed and accuracy are remarkably improved. In addition, data visual display and remote operation are supported, and the convenience and flexibility of infant nursing are greatly improved.