60results about How to "Reduce overlap" patented technology

The invention discloses a driver distraction detection method based on ResPrompt and double cross attention, and the method comprises the steps: inputting a front / side visual angle image of a driver distraction behavior into a linear embedding module and a ResPrompt module, carrying out the partitioning of the image through the linear embedding module, generating a feature vector, and generating a prompt vector of the image through the ResPrompt module; performing multi-scale feature extraction on the feature vector of the front / side view angle image and the most matched prompt vector by using a Swindow-Transfomer module to generate each view angle feature; and fusing the double-view-angle features by using a double-cross attention module, inputting the double-view-angle features into a classifier fusing center loss, and performing behavior detection on the features to generate a final detection result. According to the method, the accuracy and robustness of detection can be effectively improved, and reliable technical support is provided for safe operation of semi-automatic and automatic driving vehicles.

The invention relates to the technical field of intelligent monitoring, in particular to a large-scene multi-target on-site holographic intelligent monitoring comprehensive management system, which comprises a device determination module, a plurality of initial monitoring devices and a control module, the model construction module obtains and analyzes a plurality of initial monitoring video data, and constructs an initial monitoring model; the grade determination module determines an initial number of preset monitoring targets and determines an initial importance grade; the anomaly recognition module determines an initial monitoring frequency, performs monitoring based on the initial monitoring frequency, and recognizes an initial anomaly event based on an initial monitoring result; the degree analysis module analyzes the initial abnormal event and gives an alarm based on the comparison result of the initial severity, or adjusts the initial monitoring frequency, monitors the sub-region corresponding to the abnormal event in real time based on the adjusted monitoring frequency, analyzes the real-time monitoring result, gives an alarm based on the analysis result, or continues monitoring. According to the invention, the comprehensive accuracy of monitoring is improved.

The invention provides an automatic wiring method, system and device based on pin positions and directions and a medium. The method comprises the steps of obtaining information of two ends of wiring, determining a starting point and an ending point, preferentially selecting a point with a large y coordinate as the starting point, and selecting a point with a small x coordinate if the y coordinates are the same. If the connection is the symbol, obtaining the direction, the number and the serial number of the pins and the distance between the two symbols; and if the symbol information does not exist, orthogonal wiring is directly carried out. Thirdly, calculating unit offset according to the symbol spacing and the number of the pins, starting wiring from the starting point, and outgoing lines according to the serial numbers of the pins and the unit offset; in the process, whether the wiring passes through the start point or end point symbol region or not is detected, and if yes, inflection point bypassing is added. Then, whether the wiring overlaps with the existing wiring is detected, and if the overlapping and belonging to the same network, the overlapping portion is removed and nodes are added to optimize the wiring. And finally, wiring is completed, and the symbol is drawn into a schematic diagram to be stored. The wiring efficiency and accuracy can be improved, and human errors are reduced.

The invention discloses an agile satellite multi-satellite collaborative observation-data transmission combined planning method, which comprises the following steps: carrying out discrete sampling on a target area, calculating the visibility of each satellite to a sampling point, and obtaining the coverage characteristic of each satellite to the area based on the visibility of the sampling point; based on satellite coverage characteristics, a K-Means clustering algorithm is used to segment the target area into a plurality of sub-areas and distribute the sub-areas to corresponding satellites; boundary adaptive stripe division is carried out on the distributed sub-regions, and the number of stripes is calculated; constructing an observation-data transmission joint planning problem model, solving based on an elite genetic algorithm to obtain a planning result, integrating all satellites, and outputting an optimal scheduling scheme; according to the method, the problem that regional target observation-data transmission combined planning is difficult to solve under multi-satellite cooperation of agile satellites is solved, the coverage of the satellites on the distribution region is ensured, the overlapping rate of observation strips of different satellites is reduced, the overall observation benefit under multi-satellite cooperation can be improved, and the method can be effectively applied to a remote sensing satellite management and control technology.

The invention relates to a furniture three-dimensional reconstruction method, which comprises the following steps: collecting sparse point clouds of furniture, and obtaining a Gaussian ellipsoid set according to the sparse point clouds; obtaining Gaussian ellipsoids to be split in the Gaussian ellipsoid set, and determining the positions of the central points of the two Gaussian ellipsoids to be generated based on the cumulative gradient of the Gaussian ellipsoids to be split and the distribution of the Gaussian ellipsoids in the neighborhood, according to the shape of the Gaussian ellipsoid to be split and the neighborhood of the two split Gaussian ellipsoids, the shapes of the two split Gaussian ellipsoids are determined; obtaining a Gaussian ellipsoid to be cloned in the Gaussian ellipsoid set, and determining the position of the central point of the Gaussian ellipsoid generated by cloning based on the distribution of the Gaussian ellipsoid in the neighborhood of the Gaussian ellipsoid to be cloned; and storing the trained Gaussian ellipsoid set, and performing three-dimensional reconstruction on furniture by using the stored Gaussian ellipsoid set.

The invention discloses a dinaphtho boron oxygen structure derivative and a preparation method and application thereof, and belongs to the technical field of organic light-emitting materials and semiconductors. The dinaphtho boron oxygen structure derivative has the advantages of easily available reaction raw materials, low price, conventional reaction process, high single-step reaction yield and low cost. When the prepared dinaphtho-boron-oxygen structure derivative is applied to a light-emitting layer of an OLED device as a guest light-emitting material, the roll-off efficiency of the device can be effectively reduced, the light-emitting brightness is improved, and the service life of the device is prolonged.

The invention relates to the technical field of electric power communication module meter reading test, and discloses an electric power communication module meter reading test method and system, and the method comprises the steps: sending a to-be-tested module into a conveyor belt, carrying out the light supplement after the to-be-tested module enters a detection region, collecting an image, and recognizing display data. If the data display is abnormal, further judging whether bright spots exist or not, and if not, removing abnormal modules; and if yes, adjusting the light supplementing strategy and re-collecting the image until the bright spots disappear. And comparing and synthesizing the newly collected image and the original image, and determining whether the ammeter is qualified after determining that the data is accurate. Light supplementing adjustment is based on analysis of the bright spot position, the light supplementing effect is optimized by controlling the position of a light supplementing lamp, and the accuracy of detection data is ensured. The method can effectively improve meter reading accuracy and reduce manual intervention, and is suitable for automatic production line detection of intelligent electric meters.

The invention discloses an important node screening method for an active telemetering scene, and provides a comprehensive evaluation and optimization framework aiming at the problems of probe resource waste and overhigh system load caused by improper node selection in the existing telemetering technology. According to the method, network static topology features and dynamic state features are combined, a node importance scoring model is constructed through feature extraction, dimension reduction fusion and multi-task feature comprehensive analysis, and accurate selection of important network nodes is achieved. According to the method, topological information is analyzed through a weighted TOPSIS method to obtain spatial features, key dimensions of state features in stage historical telemetry data are extracted through principal component analysis (PCA), redundant data are remarkably reduced, and efficient state feature representation is generated. On the basis, a screening method combining spatial features and node state features is designed, and a screening strategy is dynamically adjusted through feature analysis of staged telemetering so as to optimize node priority ranking. The method is suitable for an active telemetering scene in a complex network environment, the capturing capacity of important events can be remarkably improved, system resource consumption is reduced, and the overall performance of an active telemetering system is comprehensively optimized.

The invention discloses a brain connection event causal relationship extraction method based on weighted joint constraint learning. The method aims at a text mining task-brain connection event causal relationship extraction in an event-level neural image. According to the method, a novel model named as a brain connection event relation miner is developed by utilizing weighted joint constraint learning. A lightweight model is developed by integrating a BiLSTM (Bidirectional Long Short Term Memory) network and a multilayer perceptron (MLP), and is used for jointly extracting a plurality of event causal relationships from brain connection literatures. In view of scarcity of an annotation brain connection corpus, a weighted joint constraint learning framework is provided. The framework integrates dual consistency constraints, including common sense constraints and domain constraints, and combines the dual consistency constraints with adaptive weight learning to enhance the small sample learning ability of the model.

The invention relates to the field of drug analysis, and discloses a trace analysis method and system for antiviral drugs in sewage based on LC-MS / MS. The method comprises the following steps: filtering a sewage sample, analyzing the drug properties of the antiviral drugs, carrying out solid-phase extraction on the filtered sewage sample, preparing an LC-MS / MS module of the extracted sample, determining a mobile phase of a chromatographic column, and determining the mobile phase of the chromatographic column. Balancing the chromatographic column, constructing chromatographic conditions for balancing the chromatographic column, determining a tuning solution and a mass axis calibration compound of a mass spectrometer, calibrating the mass spectrometer, and constructing mass spectrum conditions of the calibrated mass spectrometer; the method comprises the following steps: preparing a standard solution containing an antiviral drug, analyzing the standard solution, constructing a standard curve of the standard solution, and calculating a response coefficient of an LC-MS / MS module; and analyzing the extracted sample to obtain a sample mass spectrum and a sample chromatogram, and calculating the content of the antiviral drug. According to the method, the sensitivity and accuracy of trace analysis of the antiviral drugs in the sewage can be improved.

The invention belongs to the technical field of wafer automatic detection equipment, and provides a wafer detection point spiral scanning motion device and method in order to solve the problems that linear scanning detection coverage of an existing wafer is uneven, a detection blind area is likely to be generated, and repeated scanning is needed to affect the detection efficiency. The equidistant spiral track movement of the wafer in the plane is completed through the rotating platform and the two transfer platforms, the optical detection module collects spectral information at a fixed position at a preset frequency in the moving process, the whole surface of the wafer is uniformly covered from the center to the edge, no detection blind area is ensured, overlapping or omission in the detection process is effectively reduced, and the detection efficiency is improved. The linear speed is kept at a constant speed, so that re-collection and missing collection of collection points are avoided, point spiral scanning detection in the radial plane of the wafer is completed, the detection device does not need to be started and stopped frequently, the detection speed is adjustable, and the detection efficiency is high.

The utility model discloses metal zipper manufacturing equipment with an excessive drying prevention function, which comprises a rack, the top of the rack is fixedly connected with a supporting frame, the outer wall of the supporting frame is provided with a conveying assembly, one side of the supporting frame is provided with a spraying machine, one side of the rack is provided with a conveying belt, and the conveying belt is provided with a conveying belt. A machine shell is installed outside the conveying belt, an air cylinder is installed at the top of the machine shell, the output end of the air cylinder is fixedly connected with a smoothing scraping plate, a drying assembly is installed on one side of the machine shell, and a discharging hopper is fixedly installed on one side of the drying assembly. According to the metal zipper manufacturing equipment with the excessive drying prevention function, the drying equipment with the precise temperature and air speed control function is selected, the hot air circulation drying assembly is utilized, the temperature in the drying oven is uniform, heat dissipation holes are additionally formed under the condition that the internal temperature is high, and therefore the temperature of internal circulation air is reduced, and the service life of the metal zipper is prolonged. And the condition that the coating is excessively dried due to local overheating is reduced.

The invention discloses a dual-channel multi-pulse signal synthesis method, which belongs to the technical field of multi-pulse signal synthesis and comprises the following steps: acquiring a plurality of pulse signals and parameters thereof; the pulse signals are stored in a random type signal pool and a periodic type signal pool according to time domain characteristics in the parameters; synthesizing the pulse signals in the periodic signal pool into a periodic pulse sequence; synthesizing the pulse signals in the random signal pool into a random pulse sequence; synthesizing the periodic pulse sequence and the random pulse sequence into a dual-channel multi-pulse signal; according to the method, hardware resources used by the two channels are small, the two channels process signal sets with different properties, priorities do not need to be set for pulse signals to be synthesized, and when pulse overlapping occurs, the probability that each pulse can be reserved is not affected by the priorities; according to time domain feature classification, pulse synthesis is performed by taking a single pulse as a unit, so that the condition of large-scale pulse loss is avoided.

The invention belongs to the technical field of glass curtain wall stain recognition, and relates to a glass curtain wall stain segmentation method and device and a computer readable storage medium, and the method comprises the steps: collecting an original polarization image of a to-be-recognized glass curtain wall through a pixel-level polarization array camera; the maximum light intensity value and the minimum light intensity value of the pixel position are obtained based on the light intensity values of the same pixel position at different polarization angles, so that the polarization degree of the pixel position is calculated; based on the polarization degree of each pixel position and the normalized light intensity value of each pixel position at different polarization angles, constructing light intensity reconstruction weights of each pixel position at different polarization angles; carrying out weighted summation on the light intensity and the light intensity reconstruction weight of each pixel position at different polarization angles to obtain the reconstruction light intensity of each pixel position so as to obtain a reflection suppression image; and inputting the reflection inhibition image into a reflection layer separation network, and decomposing the reflection inhibition image into a reflection image and a transmission image, thereby carrying out curtain wall stain segmentation identification.

The invention discloses a hardware and software typewriting input system for displaying the position relation between fingers and a keyboard on a screen, and aims at improving the input precision, reducing misoperation and accelerating the input process by monitoring interaction between the fingers of a user and an entity keyboard in real time. The system captures through a high-definition camera, combines image processing and a deep learning algorithm, and displays positions and contact conditions of fingers and keys. The system can improve the input efficiency, is suitable for various environments, does not need to change the input habit of a user, and is particularly suitable for occasions of one-time accurate input.

The utility model relates to the technical field of X-ray examination assisting, in particular to an X-ray examination assisting device which comprises a seat plate, the left side of the seat plate is rotationally connected with a backup plate through a rotating shaft, supporting legs are fixedly connected to the four corners of the bottom of the seat plate, and fixing mechanisms are installed on the surface of the seat plate and the surface of the backup plate. According to the X-ray examination auxiliary device, limbs of a patient can be fixed through the fixing mechanism according to requirements of the patient, toppling in the detection process is effectively avoided, the detection efficiency is improved, and therefore the X-ray examination auxiliary device has the advantages of being suitable for different patients and wide in range, the positions of a plurality of binding belts are adjusted by adjusting the positions of sliding blocks in the fixing mechanism, and the practicability is high. After adjustment is completed, the fastening bolt is rotated to enable one end of the fastening bolt to make contact with the surface of the sitting plate and the surface of the backup plate, the patient sits on the sitting plate and leans against the backup plate, the binding belt penetrates through the ring body on the rear side, the hook-and-loop fastener and the hook-and-loop fastener are bonded, and therefore the patient is fixed.

The invention discloses an unsupervised mixed audio cross-modal separation method, system and device, and a storage medium, and the method comprises the steps: detecting a sound source object in a video, and extracting a target object and visual features in the video through employing a target detection algorithm; preprocessing audio and video data; the cross-modal audio and visual semantic alignment learning comprises audio and video semantic consistency learning and audio and visual cross attention learning; performing unsupervised mixed audio preliminary separation to obtain a plurality of separated audio signals; performing independent adversarial learning, constructing a signal library, and setting a loss function to close the difference between the joint distribution of signals generated by the audio decoder and the joint distribution of samples in the random selection signal library so as to train the U-Net audio decoder to generate mutually independent separated audio signals; the invention relates to visually guided unsupervised audio separation. According to the method, on the basis of independent adversarial learning, independence of a single sound source generated after mixed audio separation and corresponding relevance between sound sources are considered, and unsupervised mixed audio separation is achieved.

The invention relates to the technical field of bonding equipment, in particular to chip bonding equipment with a stable clamping function. Comprising a working cabinet, a bonding gun is arranged in the working cabinet, the working cabinet is fixedly connected with a bearing plate, the bearing plate is rotatably connected with rotating parts in mirror image distribution, the rotating parts are detachably provided with wire releasing parts, the wire releasing parts are wound with bonding wires, the bearing plate is provided with a coil number measuring module in mirror image distribution, and the wire number measuring module is connected with the bonding gun. The lower side of the bearing plate is provided with a first sliding part, and the first sliding part is fixedly connected with a delivery part which is used for conveying the bonding wires which are distributed on the wire releasing part in a mirror image manner. According to the invention, a mode of adding the standby bonding wire is adopted, so that after the bonding wire is used, the cutting and the connection of the bonding wire are automatically completed, the shutdown time is shortened, the bonding wire does not need to be calibrated repeatedly, and in the process of automatically replacing the bonding wire, the supplement of the standby bonding wire is manually completed in a simple and convenient mode.

The invention relates to the technical field of smart home, in particular to a digital media smart home control system which comprises a central air conditioning system, a fresh air system, a sweeping robot, an image capture module, a processing center and an infrared dust sensor. The activity areas of the residents in different time periods are based on the image capturing module; a dust gathering area is determined according to the real-time dust particle concentration of the infrared dust sensor, and a cleaning route is controlled based on the relation between the dust gathering area and the moving area; according to living habits of residents, generation of indoor dust accumulation is reduced, and comfort of the indoor environment is guaranteed.

The invention relates to the technical field of power equipment, and discloses a partial discharge law research method for suspended water drops in flowing transformer oil, which comprises the following steps: S1, changing the flow velocity and temperature in a model; s2, boosting; s3, capturing discharge capacity-phase data by adopting a pulse current method; s4, acquiring PD signals to a digital partial discharge acquisition system; s5, calculating skewness and steepness characteristic values in positive and negative half cycles; s6, sampling for multiple times; s7, carrying out KMO and Bartlett spherical inspection on the KMO and the Bartlett; s8, principal component analysis dimensionality reduction; s9, extracting characteristic parameters; s10, carrying out PSO-SVM verification; and S11, revealing a PD rule by the characteristic value after dimension reduction. The invention provides a method for researching the partial discharge law of suspended water drops in flowing transformer oil under large temperature difference, which comprises the following steps of: calculating characteristic values such as skewness, steepness and signal entropy in positive and negative half cycles, calculating correlation coefficients on an overall phase, taking phase symmetry as characteristic values, and calculating the partial discharge law of the suspended water drops in the flowing transformer oil from two dimensions of the overall and the positive and negative half cycles; and the discharge mechanism in the insulating oil containing the suspended water drops is revealed.

The invention discloses a knowledge base-based shipping enterprise steel plate pre-lane stacking management system, which depends on a data center of a shipping enterprise, and comprises a data acquisition module for acquiring and recording various dynamic data of steel plates in a storage yard in real time and generating a full-dimensional information knowledge base of the steel plates in the storage yard; the category model construction module is used for constructing a storage yard steel plate category model by using a data analysis tool and a Python data processing package; the demand prediction and resource dynamic balance module is used for forming storage yard pile position distribution and establishing a steel plate storage yard pile position model through the collected dynamic data in combination with a pile position projection mode, and according to the number of pre-separation label steel plates in a storage yard, in combination with the stacking number of the steel plates in the pile position and height constraint conditions, the demand prediction and resource dynamic balance module is established for the steel plate storage yard pile position model; solving a pile position rigidity requirement; and the data presentation module is used for carrying out comprehensive calculation and analysis on the steel plate inventory data to obtain a data result. The steel plates are efficiently stacked according to the pre-lane-dividing marks, and the steel plate stacking flexibility is improved.

The application discloses a sugarcane seed stalk automatic counting and bagging device, and relates to the technical field of sugarcane seed stalk automatic packing, which solves the technical problems of low efficiency, easy error, complex bagging equipment and inability to continuously work in the process of bagging of the existing sugarcane seed stalk production line. The automatic counting and bagging device comprises a belt conveying device, a brush, a counter, a bagging device and a controller, wherein the bagging device is provided with a first bagging device and a second bagging device, both of which are slidingly installed on a slide rail perpendicular to the main conveying direction and are controlled to switch by a displacement driving device. When the counter detects that the current bagging quantity reaches a preset value, the controller automatically triggers the displacement action to move the full bagging device out and simultaneously moves the empty bagging device into a material receiving position, so that the whole bag changing process does not need to stop and continuous operation is realized. Meanwhile, a directional arrangement device and a roller brush are matched to prevent the bending and overlapping of the sugarcane seed stalks and to improve the packing accuracy.

This utility model discloses a layered cable management rack for municipal low-voltage electrical wells, belonging to the field of municipal low-voltage electrical engineering. It includes a vertical mounting frame with several cable fixing mechanisms on one side. Each cable fixing mechanism includes a horizontal support frame, a fixed clamp, a screw, an L-shaped adjusting plate, and a movable clamp. The horizontal support frame is fixedly connected to the vertical mounting frame by U-bolts and nuts. This cable management rack achieves layered cable fixing by setting multiple cable fixing mechanisms on the vertical mounting frame, each mechanism including a fixed clamp and an adjustable movable clamp. This layered design not only makes the cable arrangement more neat and orderly, avoiding the problems of cable tangling and crossing in traditional methods, but also greatly improves the efficiency of later maintenance and troubleshooting. Maintenance personnel can quickly locate specific cables, reducing misoperation and troubleshooting time caused by cable disorder, thereby improving the stability and reliability of the entire low-voltage electrical system.

The present application relates to the technical field of mineral material microcharacterization, and in particular to a method for dispersing clay mineral monolayer suitable for transmission electron microscope observation. The method for dispersing clay mineral monolayer based on stage alcohol intercalation and exfoliation comprises the following steps: dispersing clay mineral in deionized water to obtain a clay mineral suspension system by stirring; adding small molecule alcohol to the suspension system first and then adding macromolecular alcohol, and stirring to obtain a dilute dispersion system; performing ultrasonic treatment to make the clay mineral form a dispersion system mainly in monolayer or few-layer structure; dropping onto a carrier film for transmission electron microscope to make the lamella spread on the surface of the carrier film; and observing by using a transmission electron microscope. The present application is conducive to obtaining clay mineral monolayer samples with good dispersion and complete structure, and is suitable for morphology and structure characterization under transmission electron microscope.

This invention discloses a collision detection method and system based on hybrid bounding boxes and lung anatomical features. The method includes: constructing bounding boxes for the lung, lung lobes, and lung segments based on a three-dimensional finite element model of the lung; determining intersecting lung segment bounding boxes using a breadth-first traversal algorithm; determining intersecting lung lobule bounding boxes using a depth-first traversal algorithm; and accurately detecting the collision position of a surgical instrument proxy ball using fine intersection detection to obtain the collision detection result. The depth-first traversal order is calculated based on the predicted positions of the lung segment bounding boxes and the surgical instrument proxy ball. This invention avoids the problems of computational redundancy and poor real-time performance in collision detection.

The invention relates to a gate source nonlinear power amplifier applied to microwave wireless energy transmission. One end of an SMA input connecting line is connected with a radio frequency signal source; the other end of the SMA input connecting line is connected with the input end of the input matching circuit; the output end of the input matching network is connected with the input end of the gate-source nonlinear control circuit; the gate bias circuit is connected in parallel between the output end of the input matching network and the input end of the gate-source nonlinear control circuit; the output end of the gate-source nonlinear control circuit is connected with the gate of the power amplifier tube; the source electrode of the power amplifier tube is grounded; the drain electrode of the power amplifier tube is connected with the input end of the parasitic compensation circuit; the output end of the parasitic compensation circuit is connected with the input end of the output matching network; the drain bias circuit and the output harmonic suppression circuit are connected in parallel between the output end of the parasitic compensation circuit and the input end of the output matching network; the output end of the output matching network is connected with one end of the SMA output connecting line; and the other end of the SMA output connecting line is a radio frequency signal output end.

The present invention discloses a method for preparing samples for PPMS specific heat measurement, which can improve the efficiency of sample preparation for PPMS specific heat measurement and shorten the experiment time. The method of the present invention rolls copper used for increasing the thermal conductivity of the sample and improving the heat transfer efficiency into concentric copper strips of non-equal diameter and puts them into a copper cup for holding the sample. Compared with the existing method for preparing samples for PPMS specific heat measurement, the method of the present invention is more convenient and efficient in the sample preparation process, can simplify the preparation process, and the specific heat test result of PPMS is consistent with the prior art, and does not affect the accuracy of the experiment.

The invention provides a ship cleaning intelligent control system and a control method thereof. The control system comprises a wall climbing robot, a scanning module, a path planning module, a path tracking module, a collection module, an information processing module and a control module; the scanning module is used for scanning the information of the hull surface, the information processing module establishes a hull surface model and divides the hull cleaning operation area into a plurality of sub-areas; the path planning module firstly plans the path for each sub-area, then connects the paths planned for each sub-area to obtain an overall planned path, controls the wall climbing robot to walk according to the calculated overall planned path and cleans and removes rust from the ship surface; the collection module collects images of the wall climbing robot before and after cleaning, and the information processing module continuously improves the cleaning process according to the input information, thereby realizing the intelligent control of ship cleaning.

The present invention discloses a method and system for lightweight design of a rear subframe of an automobile, and relates to the technical field of rear subframe design of an automobile. The method comprises: constructing a natural frequency simulation model of the rear subframe of an automobile, determining the number of design parameters and the design domain of the design parameters, taking the design domain of the design parameters as the design space, generating an optimized population in the design space, and evaluating the frequency constraints and weight target values ​​of the individuals in the population; performing low-dimensional mapping on all evaluated individuals, screening and obtaining the key design parameters of the low-dimensional space, and constructing a second-order polynomial radial basis function machine learning model according to the key design parameters; determining the optimal solution of the local optimization problem mapped by the second-order polynomial radial basis function machine learning model; evaluating the target and constraint values ​​of the optimal solution, and judging whether the natural frequency and lightweight index corresponding to the optimal solution meet the design requirements. The present invention solves the problem in the prior art that efficiency and accuracy cannot be taken into account in the lightweight design of the rear subframe of an automobile.

The invention discloses a laser emission-detection on-chip integrated chip based on a resonant cavity, and belongs to the field of semiconductor photoelectrons. The chip comprises an electrode isolation region, a vertical cavity surface emitting laser (VCSEL) electrode region, a central VCSEL luminous region, a detector electrode region and a detector region, wherein the electrode isolation region and the vertical cavity surface emitting laser (VCSEL) electrode region are mutually isolated between optical detection regions. On-chip integration is carried out on the laser emission VCSEL and the photoelectric detector, the module size is small, the miniaturization requirement of a light emission-detector assembly is met, and the VCSEL serves as a laser light source and is high in luminance, high in energy density and narrow in spectrum; the thickness of an optical detection active area is far smaller than that of an active area of a traditional PIN structure, the time for photon-generated carriers to transit the active area is shortened, the response speed of the detector is increased, the selectivity to wavelength is good, and the anti-interference capability is high. The integrated chip is excellent in performance, small in driving current and low in power consumption, and is expected to be applied to the fields of wearable equipment, health management, motion monitoring and the like.