9results about How to "Achieve autonomy" patented technology

The application discloses an intelligent lifting type culture net cage integrated with environment sensing and adaptive depth adjustment, and belongs to the technical field of marine culture devices. The net cage main body comprises main columns and a net cover. The main columns are provided in plurality. A connecting rod is arranged between the side portions of two adjacent main columns. The periphery of the net cover is supported and tensioned by the main columns to form a closed culture space. A buoyancy adjusting mechanism is connected with the bottom of the main column and is used for adjusting the overall buoyancy of the net cage main body to vertically lift. A mooring positioning mechanism is connected with the buoyancy adjusting mechanism and is used for anchoring the net cage main body in a predetermined sea area and adapting the vertical lifting movement of the net cage main body. An environment sensing module is installed on the net cage main body. An intelligent control module is electrically connected with the environment sensing module and the buoyancy adjusting mechanism. The intelligent control module is internally provided with a decision algorithm, is used for receiving the data collected by the environment sensing module, and outputs a control instruction to the buoyancy adjusting mechanism according to a preset strategy to adaptively adjust the water depth where the net cage main body is located.

The invention is suitable for the field of meteorological prediction, and provides an El Nino power autonomous prediction method, device and equipment, and the method comprises the steps: obtaining historical reanalysis data and target surface sea temperature observation data; performing space-time matching on the target surface layer sea temperature observation data and historical reanalysis data to construct a target matching data set; pre-training the first neural network model, and establishing an initial mapping relation between the surface sea temperature and the deep sea temperature; carrying out transfer learning on a pre-trained first neural network model to obtain a second neural network model; inputting the target surface layer sea temperature observation data into the second neural network model, and reconstructing target three-dimensional sea temperature data; generating a target initial field based on an assimilation module of the El Nino power autonomous prediction model; and the El Nino power autonomous prediction model is driven by the target initial field to carry out prediction integration, and an El Nino prediction result is output. According to the method, the autonomy of the El Nino prediction is realized.

The application relates to the technical field of subway passenger flow prediction, and discloses a space-time perception subway passenger flow prediction method based on a large model and multi-source information fusion, which comprises the following steps: constructing a data agent based on a large language model and a model context protocol, and generating text descriptions of subway stations and corresponding space context embedding vectors of the subway stations based on surrounding point-of-interest data of the subway stations by using the data agent; constructing an enhanced graph neural network according to the space context embedding vectors, and performing space-time joint prediction based on historical passenger flow data and the space context embedding vectors by using the enhanced graph neural network to obtain a preliminary passenger flow prediction result; and constructing a prompt word template, calibrating domain knowledge based on the prompt word template by using a pre-trained large language model, and obtaining a final passenger flow prediction result. The application significantly improves the performance, robustness and interpretability of the urban rail transit passenger flow prediction task through deep fusion of external multi-source information.

The invention discloses a Tokamak plasma vacuum cavity wall body layered embedded pipe gradient heat utilization device, which is characterized in that a Tokamak vacuum cavity wall body is provided with a three-layer structure of an inner wall, a middle wall and an outer wall, and a high-temperature heat exchange pipe group, a middle-temperature heat exchange pipe group and a low-temperature heat exchange pipe group which are in arc fit are respectively embedded in the three-layer wall body; the distance between the plasma and the inner wall of the vacuum cavity is regulated and controlled through magnetic confinement, accurate adjustment of heat flux density is achieved, plasma heat is conducted from inside to outside in a stepped mode, the inner wall high-temperature heat exchange pipe set generates ultrahigh-temperature high-pressure steam for large-scale power generation, and the middle-wall medium-temperature heat exchange pipe set generates medium-temperature high-pressure steam for small-scale power generation. The outer wall low-temperature heat exchange pipe set heats water through waste heat to supply heat, and the distillation drinking water heat exchange pipe set achieves self-driven circulation through water vaporization natural impulsive force and also serves as a vacuum cavity wall body cooling protection layer. According to the device, Tokamak plasma heat cascade full utilization is achieved, the heat conduction efficiency is extremely high, the structure is simple and easy to achieve, direct output of multi-level energy can be completed only through the three-layer embedded pipe design of the vacuum cavity wall body, and the technical core focuses on heat exchange and energy distribution of the vacuum cavity body and the layered embedded pipes; and high-efficiency commercial conversion of nuclear fusion heat energy is adapted.

The invention provides a wafer regeneration chemical mechanical polishing system and process, and belongs to the technical field of semiconductor manufacturing, and the wafer regeneration chemical mechanical polishing system comprises a buffer unit, a conveying unit, a polishing unit, a cleaning unit and a control unit, the conveying unit, the polishing unit and the cleaning unit are located on the same side of the buffering unit and are sequentially arranged along the first linear path, and the conveying unit is located between the polishing unit and the cleaning unit; the buffer unit comprises a plurality of wafer cassettes, an optical detection station located on one side of the plurality of wafer cassettes, and a transmission mechanism located on one side, close to the conveying unit, of the wafer cassettes; the conveying unit comprises a transfer disc moving along the second linear path; the polishing unit comprises a first polishing assembly and a second polishing assembly which are arranged along the second linear path. Each polishing assembly comprises at least two polishing discs and polishing heads corresponding to the polishing discs.

The invention provides a fire alarm mycelium material and a preparation method and application thereof, and belongs to the technical field of fire alarm materials, and the fire alarm mycelium material comprises hemp stalks, ganoderma lucidum, ethanethiol and the like. The preparation method of the mycelium material comprises the following steps: carrying out mixed culture on a hemp stalk culture material and ganoderma lucidum; dissolving polyvinyl alcohol and lauryl sodium sulfate in deionized water; adding ethanethiol and polymethyl methacrylate into an organic solvent; dropwise adding the water phase into the oil phase, and emulsifying to obtain ethanethiol microcapsules; and mixing the pure mycelium material with ethanethiol microcapsules, culturing, and demolding to obtain the fire alarm mycelium material. According to the invention, intrinsic integration of a material structure and an early warning function is realized through a mycelium biological assembly and microcapsule embedding and fixing technology, so that the material becomes a sensing unit. According to the material, rapid and active fire early warning without external energy is realized by utilizing the temperature-triggered fracture characteristic of the microcapsules and the extremely low odor threshold value of ethanethiol.

The application provides a method for breeding laying hens, and belongs to the field of breeding of breeding hens, and comprises the following steps: step one: selecting an experimental group A, and recording the basic data of the group; step two: calculating the average weight and standard deviation of the group A at the age of 11 weeks, determining the weight range of the group A at the age of 11 weeks under the optimal condition of production performance, and using the average weight ± N times of the standard deviation to represent the weight range standard of the target group to be bred, wherein the weight range standard of the target group to be bred is the average weight + [(−1 to 2) times of the standard deviation]; and step three: using the finally determined average weight + [(−1 to 2) times of the standard deviation] as a screening standard, and providing a basis for screening laying hens for other groups at the age of 9 to 12 weeks. According to the application, the fixed accounting method is used to replace the weight range for selection, the time node of the weight selection at the age of 10 weeks is expanded to the age of 9 to 12 weeks, the time range of the selection is expanded, and the problem of the selection time limit is effectively avoided.

The invention relates to the technical field of robot control, in particular to a task adaptive incremental cognitive map construction method and device for a mobile operation robot, electronic equipment and a storage medium. And processing the perception data to obtain an environment understanding result with a semantic tag. According to the method provided by the invention, the rasterized semantic cognition map fusing geometric, semantic and dynamic attributes is constructed and incrementally updated by fusing real-time multi-modal perception and semantic understanding, the attention weights of the attributes are dynamically adjusted based on the task types, and finally closed-loop optimization is formed through task execution feedback, so that the task performance is improved. Therefore, the robot can autonomously, reliably, efficiently and intelligently work in a complex dynamic scene.

The invention provides a vehicle escape method, device and system, and relates to the field of unmanned driving, automatic driving and unmanned vehicles. The vehicle escape method is applied to a decision-making end and comprises the steps that a takeover request of a target vehicle is received, and the takeover request comprises state information and / or environment information when the target vehicle is parked; based on the takeover request, a decision module built in the decision end is utilized to autonomously generate a target driving strategy; and sending the target driving strategy to the target vehicle, so that the target vehicle gets out of trouble according to the target driving strategy.