4results about How to "High execution precision" patented technology

The present application relates to the technical field of data transmission, and specifically provides a data transmission method and system for solid waste sorting equipment, a terminal and a storage medium, comprising: adding basic classification marks and dynamic priority marks to data packets according to the function types of sorting data, and dividing the data into synchronous control flow, real-time event flow, process awareness flow and background management flow; a data source end acquires link state information before sending, and adaptively adjusts the dynamic priority of the real-time event flow; a network switch performs mixed scheduling transmission on the data packets based on time-aware shaping, credit shaping and preemption mechanism, wherein the preemption of low-priority queues is only allowed when the data packets of the highest-priority sub-queue carry the highest dynamic priority mark. Through the cooperative mechanism of basic classification and dynamic priority, the present application realizes fine classification transmission of heterogeneous data flow, solves the problem that key instructions are easily affected by network congestion, and effectively reduces transmission delay and jitter.

The invention belongs to the technical field of combine harvesters, and discloses an independent header adaptive profiling control system based on multi-sensor fusion, which comprises a sensing module, an execution module and a control module, and is characterized in that the sensing module and the execution module are electrically connected with the control module; the sensing module comprises high-precision angle sensors installed on the left side and the right side of the header, and each high-precision angle sensor is hinged to the header through a mechanical rotating arm and a tension spring assembly and used for converting the vertical displacement and the inclination angle of the header relative to the ground into electric signals. Through deep cooperation of sensing, execution and control technologies, the crop loss rate is reduced by 30%-50%, the impurity rate is remarkably reduced, the method is particularly suitable for low-stubble harvesting operation of soybeans, oilseed rapes and the like, the operation quality and economic benefits of a combine harvester are greatly improved, and agricultural machinery equipment is promoted to be upgraded to high-end intelligence.

This invention discloses an intelligent dietary system and method based on metabolic management. The system includes a data acquisition unit for collecting basic user information and meal records; a cloud service unit for dynamically assessing the user's current blood glucose status and dietary restriction needs based on dietary guidelines and individual user data; a user interaction unit for providing an intuitive and user-friendly interface, allowing users to view recommended plans, provide feedback on implementation status, and adjust dietary preferences; and an external ecosystem connection unit for acquiring real-time or historical blood glucose data from the cloud for dynamically adjusting dietary recommendations. The method of the intelligent dietary system based on metabolic management has the following advantages: lowered usage threshold; real-time closed-loop operation; improved execution accuracy; and seamless integration.

This invention provides a remote operating system, a remote operation method, and a computer-readable storage medium. The remote operating system includes: an identification unit that identifies a graspable object, a movable area of ​​the graspable object, and a non-movable area of ​​the graspable object based on a captured image of the environment where the object to be operated is located; an operation terminal that accepts input of handwritten information based on the captured image; and an inference unit that infers a graspable object requested to be grasped from the graspable object based on the graspable object and the handwritten information, and infers the content of the action requested for the graspable object from the graspable object. If the handwritten information includes information about the transport path of the graspable object, the inference unit infers the transport path located within the movable area of ​​the graspable object as the movement path of the graspable object, and infers the transport path located within the non-movable area of ​​the graspable object as the movement path of the end effector that grasped the graspable object.