14results about How to "Short adaptation time" patented technology

The utility model discloses a three-dimensional cultivation container convenient for displaying aquatic plants, which comprises an aquatic plant cultivation container, a planting cylinder and a water storage cylinder are arranged on the aquatic plant cultivation container, the bottom of the lower portion of the planting cylinder is arranged in the water storage cylinder, and a water pump is arranged outside the aquatic plant cultivation container in a matched mode. According to the aquatic plant cultivation container, the planting cylinder body and the water storage cylinder body form an up-down split structure, so that the aquatic plant cultivation container is simple in structure, convenient to disassemble, transport and display and suitable for being used as a cultivation exhibition device of aquatic plants; the aquatic plant cultivation container can be used for cultivation and display, the adaptation time of the aquatic plants in the landscape arrangement process is shortened, and damage to the aquatic plants can be effectively reduced.

The invention discloses a deceleration-adjustable self-adaptive braking method and system, and belongs to the field of vehicle braking. The method includes: establishing driving conditions according to driving habits of a driver; for each driving working condition, judging whether the driver has the intention of adjusting the braking deceleration or not under the corresponding working condition; when the driver has the intention of adjusting the braking deceleration, the actual deceleration of different pedal strokes under the corresponding working conditions is obtained, and the expected deceleration of the corresponding pedal stroke is calculated; according to the expected deceleration, the motor driving torque of the expected deceleration is reversely deduced by combining the whole vehicle parameters, and a relation curve of the pedal travel and the motor driving torque under the corresponding working condition is fitted; and when the driver implements the pedal travel under the corresponding working condition, the whole vehicle braking system outputs the corresponding motor driving torque to control the output of the actual deceleration according to the relation curve of the pedal travel under the corresponding working condition and the motor driving torque. The braking deceleration output can be adaptively adjusted according to the driving habit of a driver.

The invention discloses a mobile terminal calling method and system based on a single line diagram incremental graph of a power distribution network, and relates to the technical field of power operation systems, and the method comprises the steps: obtaining a power grid topological graph of a target region; performing gridding processing on the power grid topological graph to form a topological grid graph; recording an initial position of each initial unit in the topological grid chart; acquiring a connection relationship between a newly-built unit and the initial unit; on the basis of the connection relation, loading the newly-built unit into the topological grid chart; and obtaining the changed position of each initial unit in the updated topological grid chart, and if the changed position of the initial unit exceeds a preset visual range, performing similar restoration on the position of the initial unit exceeding the visual range. The method has the effect of shortening the adaptation time of an operator to the updated power grid topological graph.

The invention discloses an intelligent management optimization system and method based on exploration big data, and the system constructs a lake-cabin integrated data base, and innovatively introduces a dynamic business object model to organize multi-source heterogeneous data. The core lies in that the multi-Agent is driven to work cooperatively through a cloud native scheduling engine, and automatic decomposition and execution of scientific research tasks are achieved. According to the method, a model training normal form of'federal learning + meta learning 'is adopted, the model generalization ability in a small sample scene is improved while data privacy is guaranteed, and a'risk-cost-benefit' multi-objective optimization model is constructed for decision making. According to the method, integrated closed loop of exploration data management, knowledge discovery and decision optimization is realized, and the intelligent level and comprehensive benefits of exploration and development are remarkably improved.

The present application relates to the technical field of air conditioner intelligent control, and especially relates to a multifunctional air conditioner parameter control system and method based on dual-mode communication and an intelligent socket, which comprises: stable switching is realized by 4G and infrared dual-mode communication in combination with signal strength threshold and duration; a dynamic code library learning module automatically matches air conditioner protocols through polling instructions and temperature and power feedback; an MPC algorithm is adopted, and weight coefficients are dynamically adjusted according to temperature change rate to balance temperature control and energy saving; the control method covers instruction receiving, dual-mode switching, protocol matching, energy saving instruction generation and execution feedback process; the intelligent socket integrates 4G and infrared dual-mode communication, supports 16A national standard and non-standard plug adaptation, and cuts off power supply through overcurrent, leakage and overtemperature triple protection. The present application realizes reliable communication in a weak network environment, improves the compatibility of multiple types of air conditioners, optimizes energy saving effect and power safety protection, and can improve the success rate of air conditioner parameter control and reduce the failure rate.

This application provides a method, apparatus, equipment, medium, and program product for detecting the installation of a heating boiler. The method involves acquiring image data of the heating boiler's installation components; preprocessing the image data to obtain standardized images; inputting the standardized images into a deep learning model for image analysis to obtain installation detection results; wherein the deep learning model is used to identify the current installation state of each component of the heating boiler based on the standardized images, and outputs the installation detection results based on the current installation state. This application uses a deep learning model to extract features and classify defects in the images of the heating boiler's installation components, transforming human experience into quantifiable mathematical rules, reducing subjective bias, and achieving accurate identification of installation defects. Furthermore, by preprocessing the acquired image data, the consistency of the model's input data is ensured, reducing the model's adaptation time to complex environments and improving detection efficiency.

This application provides a method and system for unstructured text parsing and question answering based on a large language model. The method includes: acquiring raw unstructured text data from a data source at preset intervals; performing deep semantic analysis on the raw unstructured text data using a large language model to extract key entities and data structures; dynamically generating or updating an existing JSON structure template based on the key entities and data structures; converting the raw unstructured text data into standard structured data according to the JSON structure template; storing the structured data in a time-series database and establishing a multi-dimensional index; obtaining time information and query intent from natural language query information input by the user; and generating question-answering results or trend analysis results using a large language model based on the query intent and the structured data obtained from the time-series database according to the time information.

The invention relates to the technical field of data backup, in particular to a data smooth switching method and device, terminal equipment and a readable storage medium. The method comprises the following steps: when a new data source is accessed, taking data of the new data source as running accompanying data; when the current main data is called, synchronously calling the accompanying running data, and obtaining a first user portrait of the current main data and a second user portrait of the accompanying running data through a user portrait generation mode which is the same as that of the main data; obtaining a difference between the first user portrait and the second user portrait, and determining whether the difference is within an expected range; if not, the logic of the user portrait generation mode is adjusted according to the difference; and if so, determining that the first user portrait is the same as the second user portrait, and officially taking the data of the new data source as backup data. By comparing the user portraits of the new data source and the main data, the logic of the user portrait generation mode is adjusted, so that the new data source can generate the same effect as the main data.

This invention discloses a safety production analysis method oriented towards multimodal data and causal knowledge graphs, belonging to the field of industrial safety production monitoring and intelligent analysis technology. The method comprises the following steps: S1. Conducting multimodal sensing and acquisition with spatiotemporal synchronous preprocessing to output a standardized multimodal data stream; S2. Performing cross-modal self-supervised pre-training based on the results of S1 to obtain a pre-trained basic model; S3. Using a three-layer federated architecture combined with privacy protection, collaboratively training the pre-trained basic model to generate an aggregated and optimized global model; S4. Constructing and dynamically updating an industrial safety causal knowledge graph, combining it with the global model for causal reasoning, and outputting risk assessment results; S5. Calculating and classifying a comprehensive risk value based on the results of S4, matching and executing response strategies; S6. Collecting feedback data from risk responses to complete closed-loop self-optimization. Using this method, accurate early warning of industrial safety can be achieved, ensuring data security, reducing annotation costs, and enhancing system adaptability.

The application discloses a GaN device AC simulation method, device and equipment and a storage medium. The method comprises the following steps: determining a first equivalent capacitance, a second equivalent capacitance and a third equivalent capacitance according to a gate simulation voltage, a drain simulation voltage and a source simulation voltage of a target GaN device, and a conversion coefficient and a trained charge determination model; determining a target gate current, a target drain current and a target source current of the target GaN device according to the gate simulation voltage, the drain simulation voltage, the source simulation voltage, the first equivalent capacitance, the second equivalent capacitance and the third equivalent capacitance; updating an original device model corresponding to the target GaN device according to the target gate current, the target drain current and the target source current to obtain a target device model; and performing AC simulation on the target GaN device based on a preset test circuit according to the target device model.

The present application relates to embodied intelligent robot technical field, specifically to embodied intelligent robot skill runtime data analysis and scheduling method. The method comprises: a skill data receiving module receives skill data packets of external data sources and completes format verification and integrity check; a multi-level semantic analysis engine carries out three-level progressive analysis of syntax layer, semantic layer and intention layer on the skill data packets, and generates executable action sequences; a real-time scheduling controller combines the current state of the robot and environmental information to prioritize and time slice allocate the action sequences, and generates a scheduling scheme; an adaptive optimization module continuously iterates scheduling strategy parameters based on historical execution data and real-time feedback. Through the technical framework of multi-level semantic analysis and dynamic scheduling cooperation, the present application solves the problems of information loss, response delay and insufficient adaptability in skill transfer process, and significantly improves the precision and task completion efficiency of robot skill execution in complex dynamic environment.

The utility model provides a pair of intelligent myopia prevention glasses, which comprises lenses, the lenses are embedded on a glasses frame, locking blocks at pile heads on the glasses frame can lock the lenses, each lens comprises a prevention and control area arranged in a middle area, a correction area is arranged in the middle of each prevention and control area, micro-structure lenses except the correction areas in the prevention and control areas are of non-concentric structures, and the micro-structure lenses are arranged in the prevention and control areas. The prevention and control area is formed by mutually connecting a plurality of micro lenses and a plurality of micro cylindrical lenses and is annularly arranged, and the upper light area and the lower light area of the lens are uniformly distributed. According to the utility model, the locking block is adopted to lock the lens, so that the lens can be quickly disassembled and is convenient to replace and clean; the light area is reasonable in distribution, soft in transformation, short in adaptation time after being worn, anti-fatigue, capable of being used for vision care, capable of achieving prevention and control effects, capable of effectively preventing myopia degree from being increased, capable of meeting use in daily life, capable of reducing dependence on a myopia treatment device and suitable for popularization and application. A wearer can also train related organs such as eye muscles in life, and the vision correction effect is improved.