1237results about How to "Reduce sensitivity" patented technology

The invention provides a multi-modal large model construction and operation method and system for reservoir dam safety. The method comprises the following steps: constructing a training set, wherein the training set comprises a single sample; multi-modal data as model input: sensor data arranged on the dam, historical hidden danger records, engineering technology documents formed in various stages of planning, design, construction and operation of the dam, information resources related to dam safety, geometric and material information of the BIM model, timestamps and spatial position information; the probability value of occurrence of the hidden danger event serving as the training label is obtained; the training set is adopted to train a multi-mode pre-training model based on a Transform framework; performing real-time prediction and early warning on potential safety hazards of the dam; and calculating the actual influence degree, the comprehensive risk score, the dynamically set early warning threshold and the emergency measure suggestion of the hidden danger event according to the probability value of whether the hidden danger event occurs or not output by the model. The scientificity and effectiveness of dam safety monitoring are comprehensively improved.

The invention provides a methane emission remote sensing intelligent detection method and system based on sparse spectrum reconstruction. The method comprises the following steps: performing first-order Taylor expansion on a Beer-Lambert law; introducing a spatial continuity constraint and a physical diffusion constraint term based on a wind field, and deducing an optimization objective function for inversion of atmospheric methane increment; simulating remote sensing observation hyperspectral radiation brightness values under different methane increment concentrations, and calculating to obtain a unit absorption characteristic spectrum; carrying out dimension reduction processing and clustering operation on the remote sensing hyperspectral image; performing matrix decomposition and sparse reconstruction on the spectrum value according to a clustering result; the hyperspectral image obtained after matrix sparse decomposition reconstruction is equivalent to a background spectral image, and atmospheric methane increment is obtained through calculation; generating an atmospheric methane plume sample based on a large eddy simulation program; constructing a training sample set of methane emission rate machine learning estimation; constructing a machine learning model for estimating the atmospheric methane emission rate; and based on an atmospheric methane increment inversion result, completing methane point source emission rate estimation of a real scene.

The invention relates to the technical field of sensors, and provides a six-dimensional force sensor based on a planar semiconductor process and a preparation method thereof, and the six-dimensional force sensor comprises a central bearing platform, a housing, an elastic beam and a buffer beam. One end of the elastic beam is connected to the center bearing table, the other end of the elastic beam is connected to the buffer beam, the buffer beam and the elastic beam are orthogonally arranged, and the end, away from the elastic beam, of the buffer beam is connected to the shell. Wherein the surfaces of the elastic beam and the buffer beam are provided with six groups of strain gauges, and the six groups of strain gauges are respectively used for measuring forces in three directions and moments in three directions. According to the method, the multi-load-step-based least square method linear matrix decoupling is adopted, so that the inter-dimensional coupling error of the six-dimensional force sensor is reduced to below 2%. According to the invention, the six-dimensional force sensor is prepared by adopting a planar semiconductor process, the difficulties of side surface attachment and side wall lead binding of the strain gauges are avoided, and the six-dimensional force sensor has the advantages of simple process, low manufacturing cost and small crosstalk error.

The invention discloses a few-sample image quality evaluation method and device based on a visual language model, and relates to the technical field of image quality evaluation. Gradient adjustment meta-prompt image quality evaluation (GRMP-IQA) is introduced, meta-knowledge from various image distortions is merged by adopting a double-layer gradient optimization process through meta-prompt pre-training, so that text refining and initialization of visual prompt are realized, the adaptive capacity of a CLIP model to an IQA task is enhanced, and the accuracy of the image quality evaluation is improved. The sensitivity of prompt initialization to various IQA scenes is reduced; and then correcting the deviation introduced by excessive attention of semantic content of a visual-language model (CLIP) through quality perception gradient regularization, and ensuring that the image quality is evaluated more accurately, so that the pre-trained CLIP model adapts to a BIQA task with a small number of training samples.

The invention provides an optical imaging system. The optical imaging system comprises a lens barrel, a lens group and a spacing element group, and the lens group and the spacing element group are arranged in the lens barrel. The six lenses are sequentially a first lens with negative focal power, a second lens with positive focal power, a third lens with positive focal power, a fourth lens with focal power, a fifth lens with focal power and a sixth lens with focal power from the object side to the image side; the spacing element group comprises a first spacing element, a second spacing element and a third spacing element; the following conditions are satisfied: 1lt; tr1r4 / Tr5r12lt, Tr1r4 / 1.2; the formula is as follows:-1.25 < = d2s / f12lt; and-0.5. According to the invention, the problem of discretization caused by increasing the thickness of the front-end lens in a six-piece optical imaging system in the prior art to satisfy a large field of view is solved.

The invention discloses an optical lens and electronic equipment. The optical lens comprises a first lens, a second lens, a third lens and a seventh lens which are sequentially arranged from a first side to a second side along an optical axis, the first lens has negative focal power and is convex-concave in surface type, the second lens has negative focal power and is concave in first side surface, the third lens has positive focal power, and the first side surface of the fourth lens is convex; the fifth lens and the sixth lens are glued and have positive and negative focal powers; the lens satisfies the following conditional expressions: 0.03 < = (d5 + d6) / TTL < = 0.2, 2 < = F7 / F,-5 < = R4 / R5 < = 0.8,-25 < = F2 / F < =-2, 0.06 < = d45 / TTL < = 0.2, and TTL / F < = 4.5, where d5 and d6 are the center thickness of the fifth lens and the sixth lens respectively, TTL is the total optical length of the lens, F7 is the effective focal length of the seventh lens, F is the total effective focal length of the lens, R4 and R5 are the curvature radiuses of the second side surface of the second lens and the first side surface of the third lens respectively, F2 is the effective focal length of the second lens, and d45 is the effective focal length of the third lens. And d45 is an air interval between the fourth lens and the fifth lens.

The invention relates to the technical field of image processing, in particular to a laser welding quality evaluation method, which comprises the following steps of: acquiring a grey-scale map of a welding image, dynamically adjusting the size of an initial region of each pixel point to determine a local region of each pixel point, forming a feature descriptor of each pixel point by using feature values of multiple dimensions of the local region, and determining the welding quality of the welding image according to the feature descriptor. Calculating the similarity of all the pixel points based on the feature descriptors of all the pixel points, performing clustering based on the similarity, and calculating the weight of each category after clustering; and according to the weight of each category and the average feature value of the feature descriptors of the pixel points contained in the category in each dimension, adjusting the initial adaptive segmentation threshold of each pixel point, performing adaptive threshold segmentation, and evaluating the welding quality based on the result of the adaptive threshold segmentation. And the accuracy of adaptive threshold segmentation and the accuracy of a welding quality evaluation result are improved.

The invention relates to an in-orbit remote sensing target detection method based on deep learning and multi-scale feature fusion. The method comprises the following steps: acquiring multi-scale fusion features of a remote sensing image; carrying out space channel feature interaction processing; and carrying out model training based on an EWD joint loss function. According to the method, improvement is carried out on the basis of YOLOV5, a remote sensing image target detection model MF-YOLO based on multi-scale feature fusion is provided, the multi-level receptive field of the model is expanded, and the capacity of a backbone network for extracting multi-dimensional features and obtaining detailed information of a target area is improved; a space channel feature interaction module SCFAM is designed in a backbone network connection layer, and the positioning capability of the model to a salient region is improved under the condition that network parameters are not increased; in addition, an EWD loss function is further designed, the sensitivity of the model to slight changes of target positions is reduced, the model is guided to distinguish dense overlapping targets, and the detection performance of the model is improved.

The invention discloses a single-frame infrared weak and small target detection method based on multi-scale feature enhancement, and the method comprises the following steps: 1, obtaining a single-frame infrared image, constructing a single-frame infrared image data set, and dividing the single-frame infrared image data set into a training set and a test set; 2, an infrared weak and small target detection network model is constructed, the infrared weak and small target detection network takes a YOLOv5 network model as a basic network, and the YOLOv5 network model comprises a trunk feature extraction network, a feature fusion network and a detection head; a multi-scale feature enhancement module is introduced into the trunk feature extraction network, and the multi-scale feature enhancement module comprises a context feature fusion module and a feature detail enhancement module which are sequentially connected in series; 3, designing a training strategy, and training the infrared weak and small target detection network model by taking the training set as input according to the training strategy; and step 4, after training is completed, inputting a test set to test and evaluate the infrared weak and small target detection network model.

The invention discloses an indirect optimization method for a landing anti-interference trajectory of a small celestial body, and relates to the field of deep space exploration. Aiming at the problem that a small celestial body landing trajectory is sensitive to uncertain parameters, the following solving method is provided: firstly, establishing a stochastic dynamics model of small celestial body landing, and constructing an anti-interference trajectory optimization problem; secondly, establishing a relation between an anti-interference trajectory optimization problem and a gravity-energy-free optimal control problem through a performance functional, a kinetic equation and a homotopy function of process noise, and estimating a co-state initial value of the gravity-energy-free optimal control problem; and finally, gradually converting the zero-gravity energy optimal control problem into an anti-interference trajectory optimization problem by changing homotopy coefficients, and in the conversion process, converting the optimization problem corresponding to each homotopy function into a two-point boundary value problem by using a Pontryagin minimum principle, and solving the two-point boundary value problem by using a targeting method. The sensitivity of the trajectory to uncertainty is reduced, so that the anti-interference capability of the landing trajectory is improved.

The invention discloses a sensitivity compensation method and system based on a TMR sensor. The method comprises the steps that a temperature compensation circuit introduces a negative temperature coefficient temperature sensitive resistor to be connected with a TMR current sensor in series; a fitting compensation technology is used, the corresponding relation between the temperature and the sensitivity of the sensor is accurately measured, data fitting is carried out through a least square algorithm, and a mapping curve of the temperature and the sensitivity is obtained; constructing and training a neural network model for learning and simulating a complex mapping relationship between environmental factors of a space geomagnetic field and temperature and measurement output of the TMR current sensor; and performing real-time correction compensation on the original output signal of the TMR current sensor by using the trained neural network model according to the environment temperature information acquired by the upper computer in real time and the correction factor predicted by the model. Through a unique compensation mechanism and an optimization algorithm, the accuracy of current signal acquisition and the stability of the system are remarkably improved, and the influence of environmental factors is reduced.

The invention provides an optical lens and electronic equipment with the same, and the optical lens comprises a first lens which has negative focal power, the first side surface of the first lens is a convex surface, and the second side surface of the first lens is a concave surface; the second lens has negative focal power, the first side surface of the second lens is a concave surface, and the second side surface of the second lens is a convex surface; the third lens has positive focal power; the fourth lens has positive focal power; the fifth lens has positive focal power, and the first side surface and the second side surface of the fifth lens are convex surfaces; a sixth lens, wherein the sixth lens has negative focal power; a seventh lens, wherein the seventh lens has positive focal power; and the eighth lens has focal power, the first side surface of the eighth lens is a convex surface, and the second side surface of the eighth lens is a concave surface. According to the invention, at least one of the problems of difficulty in miniaturization, small field angle, poor imaging quality in a dark environment, poor temperature performance, serious aberration and poor light transmission capability of an optical lens in the prior art is solved.

The invention provides a subsurface soil humidity inversion method and system based on a P-band radiometer, and the method comprises the steps: collecting observation data, carrying out the preprocessing of the observation data, and constructing initial parameters for a pre-configured dielectric hybrid model; calculating the relative dielectric constant of the soil and the soil emissivity of each incident angle; calling a pre-configured Chodhure module, and calculating to obtain the effective temperature of the soil; calculating by using a radiation transfer zero-order approximation model to obtain a simulated brightness temperature; the brightness temperature difference value between the original brightness temperature data and the simulated brightness temperature is calculated, a cost function is constructed, optimization parameters are obtained, and the weight of each angle in the cost function is dynamically adjusted and updated; and iteratively executing soil humidity inversion calculation to obtain an inverted soil humidity result. According to the method, the sensitivity to vegetation and surface roughness is reduced, and the soil humidity inversion precision is improved; and through dynamic weight adjustment and iterative optimization, the adaptability and flexibility of the model are ensured.

The invention discloses a physical sign data monitoring model construction method and device, a medium and equipment, and relates to the technical field of health monitoring. The method comprises the steps of performing feature extraction of physiological sign data by adopting a fractional order reverse scatter entropy method, replacing a Sigmoid activation function in a traditional extreme learning machine with a DiTAC activation function, modifying an L2 norm of an output layer weight coefficient in a loss function in the extreme learning machine into an L1 norm, establishing an optimization model based on the improved extreme learning machine, and performing feature extraction of the physiological sign data based on the optimized model. And solving the optimization model by using an Aribus algorithm and a forty-thief algorithm which introduce discrete fractional order Caputo, so as to obtain a physical sign data monitoring model. The extreme learning machine is constrained by the trainable parameters introduced by the DiTAC activation function and the L1 norm of the output layer weight coefficient in the training process, so that the trained extreme learning machine can be more suitable for physical sign data monitoring, and a more accurate monitoring result is obtained.

The present disclosure discloses an image capturing lens assembly including seven lens elements including a first lens element, a second lens element, a third lens element, a fourth lens element, a fifth lens element, a sixth lens element and a seventh lens element in order from an object side to an image side along an optical path. Each of the seven lenses has an object-side surface facing the object-side direction and an image-side surface facing the image-side direction. The first lens element has negative refractive power. The fifth lens element has an image-side surface being convex in a paraxial region thereof. The sixth lens element has negative refractive power. The sixth lens element has an object-side surface being concave in a paraxial region thereof. At least one of the object side surface and the image side surface of at least one of the seven lenses has at least one inflection point. When specific conditions are met, the image capturing lens assembly can simultaneously meet the requirements of miniaturization, large viewing angle, low sensitivity and high imaging quality. The invention further discloses an image capturing device with the image capturing lens assembly and an electronic device with the image capturing device.

The invention discloses an achromatic fluorescent laparoscope optical system which is composed of an endoscope set and an eyepiece, the endoscope set is composed of an objective lens with positive focal power and a rod lens set with positive focal power, the objective lens is composed of a first objective lens set and a second objective lens set, and the second objective lens set comprises a first bonding lens and a second bonding lens. The invention has the advantages that: by reasonably arranging the focal power distribution of the lens, the use requirement can be met, the visible light and fluorescence state can be adjusted at any time when the endoscope group is used, additional debugging is not needed, and the allowance is reserved for the rod lens group for subsequent image rotation; meanwhile, through reasonable arrangement of focal power distribution of the lens, design of the balsaming lens and proper control of the length of the objective lens, light is spread gently in the objective lens, the sensitivity of the lens is reduced, the light beam direction can be adjusted, chromatic aberration caused by visible light and fluorescence wave bands can be inhibited, aberration can be corrected, and the imaging quality can be improved.

The invention relates to the field of aluminum alloy plates, and discloses a high-strength corrosion-resistant marine aluminum alloy plate and a processing technology thereof.The aluminum alloy plate comprises an aluminum alloy base material and a corrosion-resistant coating, and the aluminum alloy base material is prepared from, by weight, 0.4%-0.8% of Si, 0.5%-0.7% of Fe, 0.15%-0.4% of Cu, 0.1%-0.15% of Mn, 0.8%-1.2% of Mg, 0.04%-0.35% of Cr, 0.1%-0.25% of Zn, 0.05%-0.15% of Ti and the balance Al and inevitable impurities; the anticorrosive coating comprises the following raw materials in parts by weight: 40-65 parts of epoxy resin, 5-15 parts of a composite nano material, 3-7 parts of a modified curing agent, 1-5 parts of a curing agent, 1-3 parts of a wetting agent, 0.5-1 part of a defoaming agent, 0.1-1 part of a flatting agent and 0.1-0.5 part of a dispersing agent; the surface of the prepared aluminum alloy base material is coated with the anti-corrosion coating, the plate is subjected to subzero treatment after casting forming, and the composite nano material and the modified curing agent are added, so that the plate is endowed with excellent impact strength, corrosion resistance and flame retardance.

The utility model relates to a phase interpolator circuit, a clock recovery circuit and a chip, and the phase interpolator circuit mainly comprises a first clock filter which is used for filtering a high-frequency harmonic wave of a first clock signal to generate a first filtering signal; the second clock filter is used for filtering the high-frequency harmonic wave of the second clock signal to generate a second filtering signal; the phase mixer is coupled to the first clock filter and the second clock filter and is used for generating a phase mixed signal according to the first filtering signal and the second filtering signal; and the alternating current coupling output circuit is used for receiving the phase mixed signal and generating an interpolation clock signal according to the phase mixed signal. The phase interpolator circuit can support phase interpolation operation in a wide frequency range, the output linearity performance is optimized, the sensitivity of INL and DNL to power supply amplitude changes is weakened, the duty ratio of the output interpolation clock signal can be optimized, and the interpolation clock signal can support a high-speed interface half-rate transmission mode.

The invention provides an optical lens and electronic equipment. The optical lens sequentially comprises a first lens with negative focal power, a second lens with positive focal power, a third lens with positive focal power, a fourth lens, a fifth lens and a sixth lens from a first side to a second side along an optical axis, the first side surface of the fifth lens is a convex surface, and the second side surface is a concave surface; the first side surface of the sixth lens is a convex surface, and the second side surface is a concave surface; the number of lenses with focal power of the optical lens is six. The optical lens satisfies the following conditions: 0.07 < = T12 / TTL < = 0.4, 0.1 < = R9 / TTL < = 2, and 0.05 < = R10 / TTL < = 2, where T12 is the axial distance from the second side surface of the first lens to the first side surface of the second lens, TTL is the total optical length of the optical lens, R9 is the radius of curvature of the first side surface of the fifth lens, and R10 is the radius of curvature of the second side surface of the fifth lens.

The invention discloses a graph anomaly detection method and system based on a mask graph auto-encoder in the technical field of graph anomaly detection, and the method comprises the steps: carrying out the preprocessing of an input to-be-detected hyperspectral image, and obtaining a node feature matrix and an edge index matrix; performing random mask operation on the node feature matrix; inputting the node feature matrix after the random mask operation and the edge index matrix into an auto-encoder to obtain a reconstructed feature matrix; calculating a reconstruction error according to the reconstruction feature matrix to obtain an abnormal score; and marking the pixels of which the abnormal scores are higher than a set threshold value as abnormal. According to the method, the node feature matrix and the edge index matrix are obtained, random masking is carried out on the node feature matrix, the edge index matrix is reserved, and the accuracy and robustness of anomaly detection are improved.

The invention belongs to the technical field of wind power short-term prediction, and particularly provides a short-term wind power prediction method of a Bi-MGLSTM model based on VMD decomposition and Bayesian optimization, and the method comprises the steps: preprocessing data; variational mode decomposition is carried out on the wind power data; adding one forgetting gate and one input gate in the front and back LSTM of the BiLSTM model, constructing a Bi-MGLSTM model, and inputting the decomposed modal components into the Bi-MGLSTM model for power prediction; a Bayesian algorithm is used to optimize the hyper-parameters of the Bi-MGLSTM model, and an optimized Bi-MGLSTM model is obtained; predicting by the optimized Bi-MGLSTM model to obtain a prediction result of each modal component, and superposing and reconstructing to obtain a preliminary power prediction result; performing differencing on the preliminary power prediction value and a true value, and performing training and prediction on an error sequence by using the optimized Bi-MGLSTM model to obtain an error prediction result; and adding the power prediction value and the error prediction value to obtain a prediction result. According to the method, the wind power prediction error can be remarkably reduced, and the accuracy of short-term wind power prediction is improved.

The invention discloses a single-frequency laser interference vibration measurement system and method based on optical fiber sensing. The system comprises a laser, a beam splitter, a circulator, a beam combiner, a coupler, a Faraday rotating mirror, a photoelectric detector and a data acquisition and processing module. Single-frequency laser emitted by the first laser is divided into two paths through the beam splitter, one path serves as signal light and irradiates the surface of a measured object after passing through the first circulator and the beam combiner, and reflected light returns through an original path; one path of interference signals is deflected by 90 degrees through a circulator II and a Faraday rotating mirror and then enters a photoelectric detector, the other path of interference signals directly enters the photoelectric detector, orthogonal I / Q signals are output, vibration displacement is extracted through a data acquisition and processing module by adopting a phase calculation method, and the vibration displacement is calculated through a phase calculation method. And the vibration speed is obtained through differential calculation. By optimizing the optical path design and introducing orthogonal signal processing, the system cost is reduced, and the measurement precision and the anti-interference capability are improved.

The invention provides a high-temperature-resistant optical filter and a preparation method thereof. The high-temperature-resistant optical filter comprises a substrate, a first high-temperature-resistant film layer, an optical filter film layer and a second high-temperature-resistant film layer, and the first high-temperature-resistant film layer and the second high-temperature-resistant film layer comprise a plurality of SiO2 thin film layers and Al2O3 thin film layers which are sequentially arranged in a staggered mode; the SiO2 thin film layers and the Al2O3 thin film layers are alternately arranged, expansion or contraction of each thin film layer can be mutually compensated by the adjacent layers when the temperature changes, thermal stress between single layers can be offset to a certain degree, and therefore the sensitivity of the whole film system to the temperature changes is reduced, the thin film with high thermal stability is formed, and the service life of the thin film system is prolonged. The phenomenon that the optical filter film layer is broken, warped and even falls off and fails due to high temperature can be avoided under the high-temperature test of 600-1000 DEG C; the problems of substrate deformation, film layer failure, falling and the like possibly existing in a traditional optical filter in a high-temperature environment are solved in a targeted manner.

A fixed time anti-interference sliding mode tracking control method for an under-actuated bridge crane comprises the following steps: firstly, designing a disturbance observer which can converge in fixed time and is used for accurately estimating disturbance in a system so as to provide effective disturbance compensation information for a subsequent control strategy; secondly, in combination with the fixed time disturbance observer, a sliding mode controller is provided to ensure that the crane can accurately track a given trajectory and enable a tracking error to converge to a sliding mode surface within a fixed time. According to the invention, accurate positioning of the trolley can be realized, and load swing can be effectively inhibited in a complex environment. According to the method, the control precision and robustness of the under-actuated bridge crane in a disturbed environment can be remarkably improved, and an effective solution is provided for crane control under complex working conditions.

The invention discloses a database abnormal behavior detection method and device, electronic equipment and a storage medium, and relates to the technical field of database security analysis, the method comprises the following steps: obtaining an operation log of a target database, and generating an operation embedding feature based on an operation record of the operation log; generating an operation feature sequence based on a recording sequence of operation records corresponding to the operation embedding features; processing the operation feature sequence according to an attention model to obtain a semantic feature sequence after intention weight adjustment; and determining an abnormal semantic proportion in the semantic feature sequence based on the abnormal behavior detection model, and generating an abnormal behavior detection result of the target database based on the abnormal semantic proportion. According to the embodiment of the invention, the operation feature sequence is generated based on the record sequence, the attention model is utilized to focus on the important features of the operation feature sequence, the recognition precision of the abnormal behaviors is improved, and the false alarm rate and the missing report rate are reduced by calculating the abnormal semantic proportion and accurately quantifying the proportion of the abnormal behaviors.

The invention discloses a power semiconductor device and a preparation method, the power semiconductor device comprises a field plate structure layer, an epitaxial layer and a substrate layer, the epitaxial layer is internally provided with a main junction region and a plurality of field limiting ring structure regions which are arranged at intervals and surround the main junction region, and the main junction region and the field limiting ring structure regions extend into the interior from a first surface of the epitaxial layer. The field plate structure layer is arranged on the first surface of the epitaxial layer and is connected with at least one field limiting ring structure region, and in the direction away from the main junction region, the sectional areas of the multiple field limiting ring structure regions are decreased progressively, and the spacing distances between the main junction region and the multiple field limiting ring structure regions are decreased progressively; the field plate structure layer is a metal layer, the epitaxial layer and the substrate layer are both semiconductor structures of a first conductive type, and the main junction region and the field limiting ring structure region are both semiconductor structures of a second conductive type. According to the power semiconductor device and the preparation method, low sensitivity to movable charges can be kept, high breakdown voltage is achieved, the voltage resistance of the device is guaranteed, and the reliability of the device is high.

The invention discloses an optical lens and electronic equipment. The optical lens sequentially comprises a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with positive focal power, a fifth lens with focal power and a sixth lens with focal power from a first side to a second side along an optical axis. The first side surface of the fourth lens is a convex surface, the first side surfaces of the fifth lens and the sixth lens are convex surfaces, and the second side surfaces are concave surfaces. The first lens, the second lens and the third lens are all meniscus lenses; the optical lens satisfies the following conditions: 0.15 < = R12 / TTL < = 0.3 and-0.6 < = (1 / F1 + 1 / F2 + 1 / F3) / (1 / F) < =-0.1, where R12 is the radius of curvature of the second side surface of the sixth lens, TTL is the distance from the center of the first side surface of the first lens to the imaging surface of the optical lens on the optical axis, F1 is the effective focal length of the first lens, F2 is the effective focal length of the second lens, F3 is the effective focal length of the third lens, and F is the effective focal length of the optical lens.

The invention relates to the field of artificial intelligence, in particular to a rocket trajectory optimization and real-time adjustment system based on artificial intelligence, which comprises a trajectory prediction module, a real-time adjustment control module and an intelligent monitoring module, and is characterized in that a jumping mechanism is introduced into the trajectory prediction module, so that interference of an intermediate state is effectively reduced, and key time steps are directly concerned; a forward diffusion and inverse process denoising mechanism is introduced, so that the sensitivity of the model to noise is effectively reduced; in the real-time adjustment control module, the attitude and thrust of the rocket are automatically adjusted based on model predictive control, the solving process is more efficient, the calculation complexity is reduced, the decision-making speed is increased by optimizing a target function to minimize state deviation and adopting a constrained quadratic programming problem, the trajectory optimization and real-time adjustment capability of the rocket is remarkably improved, and the real-time adjustment of the rocket is realized. And powerful support is provided for realizing complex aerospace tasks.

The invention provides an optical lens and electronic equipment with the same. According to the optical lens, a first lens has negative focal power, the first side face of the first lens is a convex face, and the second side face of the first lens is a concave face; the first side surface of the second lens is a concave surface, and the second side surface of the second lens is a convex surface; the third lens has positive focal power, the first side surface of the third lens is a convex surface, and the second side surface of the third lens is a convex surface; the fourth lens has positive focal power, and the second side surface of the fourth lens is a convex surface; the fifth lens has focal power; the first side surface of the sixth lens and the second side surface of the sixth lens have the same surface type; the seventh lens has focal power, and the second side face of the seventh lens is a convex face. The optical lens solves at least one of the problems that an optical lens in the prior art cannot give consideration to miniaturization and high resolution, is poor in pixel, is poor in imaging quality in a dark environment, and cannot be matched with a higher-pixel chip due to poor central angle resolution while meeting a large field angle.

The invention relates to the technical field of welding materials, in particular to a high-efficiency deposited nickel-based welding wire capable of preventing welding cracks based on phase regulation and application of the high-efficiency deposited nickel-based welding wire, and the nickel-based welding wire comprises the following chemical components in percentage by weight: less than or equal to 0.03% of C, 0.10-0.20% of Si, 2.9-3.2% of Mn, and 1t of P; 0.005%, S: lt; 0.003% of Cu, 19.7-20.5% of Cr, less than or equal to 0.04% of Co, and 1t of Cu; the Ni-based alloy comprises the following components in percentage by weight: 0.10% of Ni, 0.3-0.6% of Ti, 0.4-2.0% of Fe, 2.1-2.9% of Nb, less than or equal to 0.3% of Mo, less than or equal to 0.01% of N, less than or equal to 0.005% of O, less than or equal to 0.50% of other impurity elements and the balance of Ni. The specific value of Ti to Nb is controlled to be 0.10-0.22, the specific value of C to Nb + Ti is controlled to be 0.012 or below, appropriate morphology and distribution of (Nb, Ti) C type intergranular precipitates are obtained, precipitation of grain boundary M23C6 is reduced, and the creep resistance and high-temperature deplasticity crack resistance of the material are effectively optimized.