16results about How to "Fast approach" patented technology

The utility model relates to the technical field of building curtain wall aluminum profile stand column punching, and discloses a fast and efficient punching device for building curtain wall aluminum profile stand column machining, which comprises a hydraulic punching machine and a stand column body, two hydraulic rods are installed on the surface of the hydraulic punching machine, and punches are installed at the output ends of the hydraulic rods. The stand column body is placed on the surface of the hydraulic punching machine, a limiting structure is arranged on the surface of the hydraulic punching machine, the limiting structure comprises a servo motor, and the servo motor is fixedly connected with the surface of the hydraulic punching machine. The positioning clamp is simple in structure and convenient to use, can more conveniently adapt to the shapes of stand columns of different specifications, can quickly get close to and clamp a stand column body from the two sides, achieves quick positioning and fixing, greatly saves the positioning adjusting time when the stand column specification is replaced compared with a traditional positioning clamp, and further improves the punching efficiency of the stand column body.

The application discloses a kind of collaborative robot job parameter dynamic optimization method, comprising: real-time acquisition of the multimodal sensor data of collaborative robot in the process of job, multiple job parameters are analyzed based on job quality evaluation model to identify key parameter set from it;Multi-objective function is constructed with job time, end force as optimization target, and multi-objective function is converted into single-target optimization function by weighting sum method;Key parameter set is input to machine learning model, and single-target optimization function is used as optimization target to carry out iterative optimization, in each iteration, the standard deviation σ of the current learning result of machine learning model is obtained, according to the comparison result of standard deviation σ and preset critical value s, dynamically select optimization strategy, when σ≥s, new parameter set is generated using random exploration strategy, when σ<s, new parameter set is generated using guided optimization strategy of machine learning model, and the optimized parameter set is output.

The application discloses a switch device soft start gain control method, system, device, medium and product, characterized in that, comprising: acquiring real-time current data of a low-voltage intelligent switch device in a soft start process; calculating a current error between the real-time current data and preset expected current data, inputting the current error into a proportional-integral-derivative control model to obtain an initial control quantity; inputting the real-time current data and the current error into a reinforcement learning model to select a gain adjustment coefficient from an action space according to a current state corresponding to the real-time current data, calculating a gain compensation quantity based on the gain adjustment coefficient and the current error, generating a target control quantity based on the initial control quantity and the gain compensation quantity, and controlling the soft start process of the low-voltage intelligent switch device based on the target control quantity. The application can adaptively and dynamically adjust the starting current in the soft start process of the low-voltage intelligent switch device, so as to improve the stability and control precision of the soft start process.

This invention provides a method and system for testing the electromagnetic radiation immunity of components, relating to the field of electromagnetic immunity testing technology. The invention sets a range for the electromagnetic frequency and amplitude of the interference signal, generating multiple particles characterizing the interference signal within this range. Through iterative particle swarm analysis, it rapidly collects highly sensitive sample points that cause functional abnormalities in components during electromagnetic interference testing. By clustering these highly sensitive samples, it locates the electromagnetic interference sensitive range of the target component. Compared to full-band scanning and fixed-point scanning methods for electromagnetic interference testing, this invention enables automated and quantitative extraction of the electromagnetic sensitivity range, reducing subjective bias from manual location and improving analytical consistency and repeatability. Furthermore, by focusing on highly sensitive frequency bands and field strength ranges, it optimizes the test path, reduces redundant scanning points, and significantly improves the efficiency of electromagnetic interference testing.

The utility model discloses a kind of super high-speed micro unmanned boats, including hull, the hull includes power cabin, battery cabin, explosive cabin and bow tip cabin, motor and jet pump propeller are included in power cabin, the transmission shaft of motor is connected with jet pump propeller, power battery is installed in battery cabin, explosive is arranged in explosive cabin, impact fuze is set in the bow of bow tip cabin, and non-radar navigation system, control console and torpedo loading and release system are equipped on the hull. The torpedo is double-fixed by two ways of physical support and electromagnetic adsorption, the stability of 10 to 20kg torpedo in high-speed navigation is guaranteed, it can be quickly lowered when releasing torpedo, the release of torpedo can be ensured quickly and reliably, and the combat safety of unmanned boat is improved.

The invention relates to the technical field of artificial intelligence and evolutionary computing, and particularly discloses a memory annual ring learning-based evolutionary method, which comprises the following steps of: locking elite groups, extracting core declusters, coding task constraint fingerprints, backtracking efficient operators, drawing performance operator portraits, constructing memory annual ring units and storing the memory annual ring units in a memory annual ring library. When facing a new task, analyzing and generating a to-be-matched task fingerprint, matching a historical memory annual ring unit, extracting a core declustering and efficiency operator portrait, remodeling a population basis, generating a dynamic operator weight table, and executing dual-channel collaborative guide evolution; according to the method, through collaborative optimization of the solution space and the strategy space, the convergence speed and the solving performance of the algorithm in a new environment are remarkably improved, conversion from blind exploration to experience guidance is achieved, and the challenges of knowledge migration and experience reuse in dynamic change or staged tasks of a traditional evolutionary algorithm are solved.

The invention discloses a water dispenser temperature control method based on an AI adaptive algorithm, and relates to the technical field of intelligent household electrical appliance control, and the method comprises the steps: obtaining an environment monitoring data flow and an equipment operation state parameter flow in real time; time sequence alignment and feature fusion are carried out on the data to generate a user water consumption behavior feature vector and an equipment working condition feature vector; inputting the feature vector into a pre-trained adaptive temperature control decision model, and outputting a target heating temperature set value, a preheating start advance and a step power adjustment strategy; calculating a real-time power compensation amount according to the target temperature and the thermal inertia parameters of the equipment; and dynamically correcting the stepped power strategy based on the compensation amount, generating a power control instruction sequence and sending the power control instruction sequence to a heating controller for execution. According to the method, intelligent prediction and self-adaptive decision making of the water demand are achieved by fusing multi-source data, dynamic power compensation is conducted in combination with equipment thermal inertia, and therefore the instant hot water demand of a user is accurately met, and meanwhile energy consumption is effectively reduced.

The application belongs to the field of interference identification, and particularly relates to a neural network interference identification method based on Conv-KANformer, which comprises the following steps: S1: constructing an interference database, adopting short-time Fourier transform to extract an interference time-frequency graph; performing preprocessing operations such as clipping, scaling and label information construction on the time-frequency graph to ensure the accuracy and consistency of the data; S2: building a Conv-KANformer neural network framework, which is composed of a multi-scale convolution feature extraction module, a KANformer global feature extraction module and a classification module, wherein the multi-scale convolution feature extraction module contains four convolution kernels of different sizes to extract different receptive field features; the KANformer global feature extraction module introduces a Kolmogorov-Arnold Network (KAN) to improve the traditional transformer structure; and the classification module introduces the KAN to complete the classification of seven kinds of interference signals; S3: completing offline training of the model through a cross-entropy loss function to obtain an interference identification model; and S4: completing online interference identification by using the interference identification model. The neural network interference identification method based on Conv-Kanformer can identify seven kinds of interference types at a low signal-to-noise ratio.

The application discloses a stamping equipment with a knife edge wear prevention function, and relates to the technical field of stamping machine tools.The stamping equipment comprises a feeding machine, an electric control cabinet, a punch mechanism and a bottom die mechanism, the feeding machine, the electric control cabinet and the punch mechanism are fixedly connected with the bottom die mechanism, and the electric control cabinet is connected with the punch mechanism through electric signals.The punch mechanism comprises a driving mechanism, an assembling frame and a cutter mechanism, the driving mechanism comprises a sliding block, the cutter mechanism comprises a base plate, and the assembling frame is fixedly connected with the sliding block and the base plate.The application realizes rapid approach of a stamping cutter to materials, improves stamping efficiency, stamps materials at a low speed, reduces instantaneous impact force on a knife edge, reduces micro-chipping, performs cyclic liquid cooling on the cutter, effectively controls the working temperature of the knife edge, prevents hardness reduction and thermal fatigue wear caused by excessively high temperature rise, forms a lubricating oil film between the knife edge and metal sheet raw materials, slows down the rigid collision between the knife edge and the metal sheet, and reduces knife edge wear.

The utility model discloses a ball mill for fly ash processing, which relates to the technical field of fly ash processing and comprises a ball mill, a support frame and a mounting seat, the ball mill is arranged on the support frame, and the mounting seat is arranged on the support frame and is fixedly connected with the support frame; the first motor is arranged on the mounting seat and is fixedly connected with the mounting seat; the gear is arranged at the output end of the first motor and is fixedly connected with the output end of the first motor; the feeding mechanism is arranged on the support frame and the ball mill and is used for feeding coal ash into the ball mill; and the discharging mechanism is arranged on the ball mill on the supporting frame and is used for discharging the coal ash out of the equipment. According to the device, the discharging mechanism is arranged, and a knocking device in the discharging mechanism can knock off coal ash left on the inner wall of the ball mill when the device discharges materials, so that the coal ash is conveniently collected, and the ball mill is conveniently cleaned.

The invention relates to an adjustable spray type vertical desulfurization waste liquid incinerator with multiple flow guide plates and a waste liquid desulfurization method, by arranging a waste liquid nozzle with an adjustable extending distance and a multi-flow guide plate structure with a partition ventilation rate, the spray position is dynamically adjusted along with the treatment capacity, and the distribution of a flow field in the incinerator is optimized; spray always enters a high-temperature core area; the two layers of guide plates are arranged up and down, the overall ventilation rate is high in front and low in back, small holes in a central area are dense, the ventilation rate is low, airflow is forced to diffuse towards the periphery, and radial mixing is enhanced. According to the vertical desulfurization waste liquid incinerator, the waste liquid evaporation and cracking efficiency is remarkably improved, wall hanging corrosion is reduced, the flue gas retention time is prolonged by 15%-20%, the combustion efficiency is improved by 12%-15%, generation of nitric oxide is reduced, and efficient, stable and environment-friendly operation is achieved.

This utility model discloses an AGV (Automated Guided Vehicle) transfer vehicle, relating to the field of transfer vehicle technology. It includes a transfer vehicle chassis and a steering wheel. The steering wheel is rotatably mounted on the upper surface of the chassis. A lifting plate is positioned above the steering wheel, and a cargo plate is positioned above the lifting plate. Fixed tubes are fixedly installed at the four corners of the upper surface of the lifting plate, and movable rods are movably sleeved inside the fixed tubes. The upper ends of the movable rods are fixedly connected to the cargo plate. A first transmission mechanism is provided on the upper surface of the steering wheel to drive the lifting plate to move rapidly, and a second transmission mechanism is provided above the lifting plate to drive the cargo plate to move precisely. This utility model enables high-speed and precise two-stage lifting of the cargo plate of the transfer vehicle, thereby improving transfer efficiency and ensuring transfer accuracy.

The present application relates to a kind of ducted flight lifebuoy, belong to the technical field of aircraft, comprising: framework system, using lifebuoy structure design, with water surface floating capacity;Power and electric power system, including multiple circumferential uniform distribution along the framework system's ducted fan, ducted fan is all wrapped by duct structure, each ducted fan;Flight control system, independently adjust each described ducted fan to control flight attitude;Communication system, for receiving external control instruction and / or sending lifebuoy state information.The present application can solve the collision safety hidden trouble that exists when exposed high-speed rotor approaches the person falling into water, improve reliability, overcome the defects that four power points layout is low in redundancy, single failure is prone to cause out of control crash;And improve the problem of insufficient attitude control stability in complex environment such as wind and wave.

The invention discloses a QUIC flow concurrent number dynamic adjustment method and system for 5G / 6G network file transmission, and belongs to the technical field of network communication. In order to solve the technical problems of concurrent adjustment lagging and unstable performance under 5G / 6G link mutation, the method comprises the following steps: establishing a fast user datagram protocol internet connection, and executing initial sampling based on a self-adaptive smooth round-trip delay period; calculating a utility value reflecting the transmission comprehensive performance by using the collected link data, and constructing a Gaussian process regression mapping model; calculating the improvement potential of the candidate concurrency number based on the mapping model, and selecting an optimal target concurrency number; and integrating the optimal target concurrency number and the current concurrency number upper limit dynamic adaptive flow number, executing capacity limiting processing when a link abnormal event is monitored, and updating the concurrency number upper limit so as to trigger a closed loop iterative optimization process. According to the method, the convergence speed and throughput efficiency of batch file transmission of the 5G / 6G cellular network can be remarkably improved.

The invention relates to the field of unmanned system cooperative control and intelligent decision making, in particular to a double-layer priority playback and self-supervision-assisted unmanned ship cooperative hunting method, which comprises the following steps of: constructing a sea area environment model for cooperative hunting of multiple unmanned ships; establishing a cooperative control strategy network, wherein the cooperative control strategy network comprises a centralized training stage and a distributed execution stage; a double-layer priority experience playback mechanism is introduced in the centralized training stage; a self-supervision auxiliary task module is introduced into the cooperative control strategy network; the method comprises the following steps: constructing a multi-dimensional reward function, carrying out comprehensive evaluation on a target approaching behavior, a cooperative reward state and a safety constraint of a reward unmanned ship, defining a reward success condition, calculating a reward result, outputting a control instruction of each reward unmanned ship according to the reward result, and carrying out cooperative reward on a target unmanned ship. According to the invention, through double-layer priority experience playback and self-supervision auxiliary tasks, the cooperative hunting efficiency, learning stability and strategy adaptability of multiple unmanned ships in a complex sea area are significantly improved.

The application provides a mobile circulating water curtain fire extinguishing trolley for vehicle chassis fire, comprising: a crawler trolley; a water storage tank; a water accumulation disc connected with the water storage tank or a water supply pipeline through a water return pipeline; a filtering assembly arranged above a water collection area of the water accumulation disc; an upward spraying unit with an inlet end communicated with the water storage tank or the water supply pipeline; a circulating water pump with an inlet end connected to the water collection area in the water accumulation disc and an outlet end connected to the water storage tank or the water supply pipeline; a sensor assembly for collecting the distance between the vehicle chassis and the water accumulation disc; and an execution module for receiving the distance between the current vehicle chassis and the water accumulation disc and sending corresponding spraying angle conversion instructions to the upward spraying unit; wherein the water storage tank, the upward spraying unit, the water accumulation disc, the filtering assembly and the circulating water pump jointly form a closed and insulated fire extinguishing agent circulating loop to improve the adaptability and efficiency of fire extinguishing, and the selection of the crawler trolley also increases the stability of the mobile fire extinguishing trolley.