8results about How to "Avoid high dependency" patented technology

A continuous induction quenching device for two ends of an automobile push rod is used for manufacturing the automobile push rod. Two conveying lead screws are installed in the middle of the quenching machine tool, the head ends of the conveying lead screws are in butt joint with mistake-proof feeding devices above the conveying lead screws, inductors are arranged on the two sides of the middle sections of the conveying lead screws and connected with variable vibration devices and heating power sources, blanking grooves are formed in the tail ends of the conveying lead screws, and quenching liquid grooves are installed below the conveying lead screws. A spiral groove of the conveying lead screw is matched with the diameter of the rod portion of the push rod, and the ball head end and the ball socket end of a discharging port of the mistake-proof feeding device are matched with a ball head and a ball socket at the two ends of the push rod respectively. According to the invention, simultaneous quenching of the ball head and the ball socket at the two ends of the push rod can be realized, the problems of low efficiency and overlarge cost input caused by separate quenching of multiple devices in the prior art are solved, wrong quenching, re-quenching and missing quenching in the machining process are avoided, and high dependence on personnel skills and operation attention is avoided; quenching efficiency of the ball head and the ball socket at two ends of the push rod can be improved, product quality can be guaranteed, and manufacturing cost can be reduced.

The invention provides a metasurface optimization design method based on reinforcement learning, relates to the technical field of electromagnetic metasurfaces, and solves the problems that a metasurface design method based on supervised learning highly depends on a data set and the manufacturing cost of the data set is high. The method comprises the following steps: constructing a reinforcement learning environment model corresponding to a metasurface, and constructing a value network corresponding to a reinforcement learning algorithm; based on the constructed reinforcement learning environment model and the value network, through an intelligent agent and environment interaction mode, an objective function of the reinforcement learning environment model is updated, decision making of an intelligent agent is optimized, after a preset optimization requirement is met, the interaction process is stopped, and a metasurface optimization design result is output; wherein the learning environment model is reinforced to give an agent reward by comparing the difference between a target function value of a new state and a given optimization value; the method provided by the invention has stronger solving capability for nonlinear and uncertain complex environments, has the characteristics of intelligence and rapidness, and reduces data set dependency and manufacturing cost.

The invention relates to an energy device management method and device, an electronic device and a storage medium, and the method comprises the steps: adding a plurality of devices into a token ring network when an energy management system is started; and the equipment in the token ring network transmits the tokens according to a token transmission sequence dynamically determined by a preset token ring protocol. And when the current device obtains the token, allowing the current device to upload device data to a cloud platform corresponding to the energy management system. According to the invention, the stability and reliability of the energy management system are improved.

The invention belongs to the technical field of solar cell production, and particularly relates to a perovskite solar cell module and a preparation method thereof. The solar cell comprises a metal counter electrode, a plurality of sub-cells and a transparent conductive substrate which are sequentially arranged from top to bottom, the sub-cells are connected in series side by side, a plurality of counter electrode layer partitions are arranged on the metal counter electrode at intervals, two sub-cells are arranged between every two adjacent counter electrode layer partitions, and a plurality of conductive layer partitions are arranged on the transparent conductive substrate at intervals. Two sub-cells are arranged between two adjacent conducting layer partitions, and the counter electrode layer partition and the conducting layer partition which are adjacent are located on the two sides of the same sub-cell respectively; and the plurality of sub-cells are formed by alternately arranging a plurality of NIP type perovskite sub-cells and a plurality of PIN type perovskite sub-cells. According to the invention, the high dependence of the traditional tandem perovskite solar cell module preparation on the laser etching precision is overcome, the yield of the module can be effectively improved, the preparation process is further simplified, and the area of the sub-cell can be effectively increased at the same time.

The invention relates to the technical field of medical equipment, and particularly provides full-automatic frozen section pasting equipment, which comprises a cabinet body, the cabinet body is provided with a section end, the section end is internally provided with a section cavity, and the section cavity is communicated with the section end; the laser sensing device is arranged in the slice cavity, and the laser sensing device is used for detecting the planeness of the tissue block to obtain adjustment data; and the clamping assembly is arranged in the slicing cavity, the clamping assembly and the laser sensing device are arranged in a spaced mode, and the clamping assembly comprises a clamping table, a transverse axis angle adjusting piece, a longitudinal axis angle adjusting piece and a clamping body which are sequentially and fixedly arranged from front to back. Therefore, accurate angle adjustment in the slicing process is achieved, it is ensured that the tissue block is always kept at the optimal slicing angle, and the slicing quality problem caused by personal errors is reduced. And the slicing operation efficiency and quality are greatly improved.

This invention discloses a novel reverse transcriptase and its applications. The amino acid sequence of the reverse transcriptase is selected from any of the amino acid sequences shown in SEQ ID NO: 1 to SEQ ID NO: 19, or, obtained by mutating one or more amino acids of any of the above sequences, resulting in an amino acid sequence with at least 85%, 90%, or 95% identity to the original sequence and possessing reverse transcription activity. The genome-guided editing system containing the reverse transcriptase of this invention further includes a nucleic acid-programmable DNA-binding protein and pegRNA. Both the reverse transcriptase and the genome-guided editing system containing it can be used to target and modify the plant cell genome or to cultivate plants with genome modifications. This invention effectively overcomes the dependence of existing guided editing systems on single-structure chassis enzymes, thereby providing a rich reserve of underlying components for crop molecular design breeding.

This application relates to the field of artificial intelligence technology and discloses a method and apparatus for automatically generating cross-border logistics processes based on natural language parsing. The method includes: performing cross-language semantic parsing and task structuring on natural language instructions to generate a structured task description including logistics operation logic, target area information, and equipment interaction points; driving a large language model to perform logical reasoning and process construction based on the structured task description to generate an executable logistics process including equipment control nodes and compliance document generation nodes; dynamically mapping protocols for equipment control nodes based on an equipment function vector space alignment mechanism to generate equipment driving strategies; dynamically generating compliance content for compliance document generation nodes based on a multimodal rule base and real-time policy information to obtain formatted compliance documents; and finally integrating these into a logistics process execution package for deployment. This application can effectively improve the efficiency, adaptability, and compliance of cross-border logistics process customization.

This invention discloses a lightweight star catalog target detection method and system. The method includes: constructing a student model, which employs a lightweight feature extractor and a Transformer decoder with width and depth pruning; constructing a teacher model, which employs an un-lightweight feature extractor and a Transformer decoder without width and depth pruning; adjusting the parameters of the teacher and student models, calculating the value of the loss function, stopping the iteration when the value of the loss function is minimized, and obtaining trained teacher and student models; and using the trained student model to perform lightweight star catalog target detection. The advantages of this invention are: lightweight, low computational complexity, and the ability to achieve 3D position detection of star catalog targets.