10results about How to "Consider speed" patented technology

The invention relates to a self-adaptive control method, system and device for environment test equipment, and the method comprises the following steps: S1, data collection: collecting environment detection data and data of a corresponding actuator according to a to-be-controlled physical quantity; s2, selecting or constructing a control object according to the physical quantity to be controlled; s3, performing online identification operation when an identification condition is met, otherwise, directly executing the step S4; s4, feedforward and feedback: calculating feedforward compensation and feedback compensation according to the value of the to-be-estimated quantity, and superposing the feedforward compensation and the feedback compensation to obtain a control instruction; and S5, performing constraint allocation on the actuator: performing saturation constraint processing on the control instruction to obtain a control quantity of the corresponding actuator. Joint online identification can be carried out on the to-be-estimated quantity only through perturbation excitation; different loads and test object states are automatically adapted; saturation constraint processing is adopted; the model and the algorithm are low in calculation amount, and precision, speed and engineering realizability are considered.

The utility model discloses a multi-layer insulating glue pressing device for a dispensing driving plate, which is applied to the technical field of electronic engineering, adopts a two-side clamping design, can effectively improve the pressing stability and precision of parts, can uniformly distribute pressure, avoids deviation or deformation of a glue layer caused by single-side stress, and improves the product quality. Two-side clamping can adapt to parts of different sizes, the production compatibility and efficiency are improved, the manual adjustment time is shortened, and the clamping device is suitable for the automatic production scene of electronic elements; according to the vertical multi-layer synchronous pressing design, the production efficiency can be remarkably improved, accurate pressing of multiple parts can be completed at a time, the time consuming problem of layer-by-layer operation is avoided, it is ensured that all layers are evenly stressed through the structure, the adhesive layer thickness deviation or dislocation risk is reduced, meanwhile, the consistency of insulating performance is kept, and space is saved through vertical layout.

The present application belongs to the technical field of digital publication processing, and provides a multi-modal PDF content purification and intelligent proofreading system and method based on visual perception enhancement, which comprises a visual perception module, a semantic understanding module and an intelligent decision module; the visual perception module eliminates physical layer interference by generating multi-resolution images, extracting fine structure features and locating invisible characters; the semantic understanding module constructs a knowledge graph and a DST-Transformer model to realize character recognition, semantic coding and image-text association repair; the intelligent decision module outputs a purified document through weighted confidence calculation, dynamic threshold adjustment and cross-platform verification; the method corresponds to the three module steps, realizes full-process processing from physical layer analysis to logical layer reconstruction and then to intelligent output, improves the PDF content purification accuracy and cross-platform compatibility, and is suitable for electronic document deep purification and proofreading.

The present application relates to the special protection technology of electronic components, and proposes an ESD static surge protection structure and method, which comprises a plurality of I / O pins, a detection circuit, a transient voltage suppressor and a discharge channel. The I / O pin is connected with the detection circuit and is used for input signal. The detection circuit is used for analyzing ESD static event or surge event, and inputs the transient voltage suppressor and the discharge channel. The transient voltage suppressor comprises a side TSV path and a center TSV path. The detection circuit comprises a voltage sensor and a current sensor. The voltage sensor is connected with a first comparator and an amplitude detector respectively. The first comparator is used for monitoring the voltage slope of the input signal of the I / O pin. The current sensor is connected with a second comparator. The second comparator is used for monitoring the pulse energy and pulse duration of the input signal of the plurality of I / O pins. Through the multi-parameter dynamic analysis of the voltage slope, pulse width, voltage peak value and pulse energy, accurate event recognition and classification protection are realized.

The invention relates to the technical field of cable manufacturing, in particular to an intelligent tension regulation and control method and system in a cable twisting process, and aims to solve the problems of low regulation and control precision, response lag and weak interference resistance in the prior art. The method comprises the following steps: firstly, introducing a multi-wire tension coupling coefficient according to cable specifications, material flexural rigidity and the number of stranded layers, calibrating a tension reference value by combining real-time environment temperature and humidity, and synchronously extracting roughness and correcting friction parameters through optical characteristics of wire surfaces so as to adapt to equipment speed; training historical data by using an LSTM (Long Short Term Memory) time sequence model, predicting the tension trend in the future 2-5 seconds in real time, performing classified regulation and control according to deviation statistical characteristics, and performing micro-step rotation speed regulation by a servo motor and torque compensation execution by a magnetic powder brake; updating the model when the error exceeds the threshold value or the specification is changed, and periodically finely adjusting the reference value by combining the quality data. The system comprises seven functional modules, the tension control precision and the anti-interference capability can be improved, the adaptability is high, and the cable quality and the production efficiency are effectively improved.

The invention discloses a power electronic module and system for a switch and a detection method. In the module, an insulating substrate is arranged in a packaging shell; the plurality of power semiconductor chip units are connected in parallel to the insulating substrate; the three-dimensional suspension type non-contact sensing structure is arranged in the packaging shell, and the sensor carrier plate is installed above a single target power chip in the multiple power semiconductor chip units in a crossing mode in a three-dimensional suspension mode through the insulating supporting piece and does not occupy a main power wiring area of the insulating substrate in the vertical projection direction. The chip-level current sensor is integrally mounted on one side, facing the single target power chip, of the sensor carrier plate in a surface-mounted manner and directly faces a bonding wire arching area of the single target power chip, and the chip-level current sensor is configured to acquire branch current flowing through the single target power chip in a non-contact magnetic coupling manner and output an analog voltage signal; and the analog signal output end of the chip-level current sensor is directly connected to the hardware straight-through protection terminal through a low-impedance straight-through path.

This application provides a training method, apparatus, device, and storage medium for a game intent recognition model. The method includes: acquiring a basic sample set; calling a pre-trained large language model to perform deep semantic parsing on the data in each basic sample in the basic sample set to obtain the full intent annotation information corresponding to each basic sample; concatenating multiple pre-generated instruction templates corresponding to different intent tasks with each basic sample to obtain multiple input samples corresponding to each intent task; decomposing the full intent annotation information corresponding to each basic sample to obtain the intent annotation information corresponding to each input sample; and performing supervised fine-tuning training of the pre-trained lightweight language model for different intent tasks based on each input sample and the intent annotation information corresponding to each input sample to obtain the trained game intent recognition model. This solution can improve the accuracy of the model's game intent recognition and enhance the model's generalization ability.

The invention discloses a ship navigation test simulation method and simulation system based on a scene. The method comprises the following steps: A1, constructing a dynamic grid; a2, texturing the grid data; step A3, sampling of RayMarching fluid parameters is carried out; step A4, fluid force calculation; step A5, interaction type detection; step A6, carrying out ship-shore interaction calculation; step A7, updating the motion state of the ship; a8, state output and iteration judgment are carried out; according to the method, rapid fluid load calculation is achieved by constructing a local space grid and utilizing three-dimensional texture and GPU programming, parameters are provided for a ship motion model, meanwhile, the ship-shore interaction is solved by utilizing an image depth technology, the ship-ship interaction is calculated by utilizing a three-dimensional texture fusion method, and the ship-shore interaction is calculated by utilizing a three-dimensional texture fusion method. The method realizes fast calculation of the ship motion state with low sacrifice precision and fast calculation speed, and can be applied to ship navigation test simulation and control system design.

The application discloses a cluster resource self-adaptive expansion and contraction method and system based on flow mutation awareness, and relates to the technical field of cloud computing. The method comprises the following steps: S1, collecting cluster expansion and contraction awareness data in real time, performing data preprocessing, and extracting flow change characteristics, response change characteristics and queuing change characteristics; S2, identifying a flow mutation state, analyzing historical flow mutation records or growth extrapolation results, evaluating a flow peak value predicted arrival time and a predicted peak value request amount, and performing boundary checking; S3, performing time limit evaluation on a newly added instance available preparation process, and generating an expansion opportunity marker; S4, judging expansion instance demand, generating an instance expansion instruction according to the expansion opportunity marker and the expansion instance demand, and adding the newly added instance to a traffic forwarding link corresponding to a target service. The method solves the problem that in a flow surge scenario, the actual available time of expanded resources does not match the flow peak value arrival time, resulting in expansion lag, service overload or resource idle waste.

The present application relates to a kind of spectral level calibration real-time color measurement system and method, it is related to color measurement technical field, system includes viewfinder lens group, shutter, light beam spectrometer module, multi-channel light filter detection unit, dispersion module, main control board and angle biasing device;Method includes calibration stage, acquisition stage and measurement stage.By obtaining monochromatic light image sequence and light intensity data, calculate sensor response curve, filter transmittance curve and dispersion module response curve;Using reference board to calculate camera correction coefficient;To be measured object acquisition image and apply correction coefficient, combined with dynamic calibration compensation light source fluctuation, finally output high-precision color value.The present application solves the problem of prior art by light source interference, bench difference, high cost and low efficiency, realizes the real-time color measurement of low cost, high efficiency, high precision and high resolution, it is suitable for the online detection of textile, electronic display and other industries.