68 results about "Collision analysis" patented technology

The invention, which relates to the technical field of foreign matter collision assessment in train driving, discloses a foreign matter collision damage degree assessment system in train driving, comprising a data acquisition module, a database module, a track monitoring module, a foreign matter collision analysis module, a train monitoring analysis module, a train damage assessment module and an emergency scheme starting module. The data acquisition module is used for acquiring parameter data and operation data of a train; the database module is used for constructing historical image data and foreign matter quality data of a foreign matter invading train; the track monitoring module is used for monitoring whether foreign matters invade or not and acquiring the moving speed of the foreign matters; the foreign matter collision analysis module is used for analyzing the impulse between the train and the foreign matter; the train monitoring analysis module is used for acquiring an image of a train collision position after the train collides with the foreign matter and analyzing an actual collision area of the train and the foreign matter; the train damage evaluation module is used for judging the train damage level; the emergency scheme starting module is used for starting different emergency schemes.

The invention relates to the technical field of building design, in particular to a fabricated building design method based on BIM software, which comprises the following steps: analyzing component connection paths and the number of nodes, sorting by combining installation directions and space numbers, generating classification codes, analyzing node connection and support states, and comparing the matching relationship of lower nodes to adjust an arrangement sequence. And constructing envelope shell detection collision, analyzing the relationship between the gravity center and the boundary, adjusting configuration, optimizing a hoisting sequence, and outputting a segmented sequence. According to the method, the continuity of the connection path of the prefabricated building component and the number of the nodes are refined, the participation sequence and the space number are combined, sorting and identification are carried out according to the construction size, the connection relation and the space layout are integrated, the arrangement sequence is dynamically adjusted, the supporting state is checked in real time, and the space conflict record is generated; through center-of-gravity shift and height difference sorting, the component positioning and path assembly sequence is optimized, and the resource utilization and assembly accuracy is improved.

The invention relates to an intelligent scheduling technology, and discloses a multi-AGV device cooperative scheduling method and system based on artificial intelligence, and the method comprises the steps: obtaining the motion parameters of each AGV device in real time, obtaining the task path data of each AGV device, building a digital twinborn simulation model according to the motion parameters and the task path data, and carrying out the calculation of the digital twinborn simulation model. Simulating a future path of each AGV device based on the digital twin simulation model to obtain simulated path data based on a time sequence, identifying time data of each AGV device arriving at each preset key node according to the simulated path data, obtaining an arrival time set of each key node, and obtaining an arrival time set of each key node; and carrying out AGV equipment collision analysis according to the arrival time set to obtain a collision analysis result, and carrying out cooperative scheduling on the AGV equipment according to the collision analysis result. According to the invention, the multi-AGV equipment scheduling efficiency can be improved.

The invention discloses a mechanical arm anti-collision analysis system based on an explosive ordnance disposal robot, and relates to the technical field of public safety, the mechanical arm anti-collision analysis system comprises a multi-source heterogeneous data acquisition module, a space-time alignment characteristic distillation module, an attribute-track coupling prediction module and the like, and precise anti-collision is achieved by fusing obstacle attributes and tracks and gradient protection boundaries. The system has the advantages that attribute data such as obstacle material components and mechanical arm state data are synchronously obtained through the multi-source heterogeneous data acquisition module, features are extracted through fusion of the space-time alignment and feature distillation module, and a standardized data set containing rigid, explosive and quality tags is generated; and the attribute tag is incorporated into a state space by the obstacle attribute-track coupling prediction model, and the obstacle attribute and the motion track are associated to carry out collaborative analysis, so that the defect of separation of dynamic obstacle attribute and track analysis in the prior art is effectively overcome, and an accurate attribute-track association basis is provided for anti-collision analysis.

The invention discloses a hole exploration point deployment automatic early warning method based on multi-source three-dimensional data. The method comprises the following steps that S1, designed hole exploration point data, unfavorable geological design files needing to participate in analysis and underground pipeline data needing to participate in analysis are uploaded through an online management platform; s2, screening required collision types for the selected items, wherein the types of the collision types are determined according to collision objects; s3, collision analysis is automatically carried out according to the position relation of the imported different data sources in the space, whether collision exists or not is determined by judging the space position, and when collision occurs, the hole exploration points are automatically classified as risk points and early warning notification is carried out. The hole exploration risk automatic early warning system can realize remote, real-time and high-precision monitoring of underground space, has intelligent data analysis and risk assessment capabilities, improves the operation efficiency and safety of underground pipeline and geological exploration work and exploration and hole distribution field work, reduces unnecessary repeated labor, and improves the working efficiency and safety of the underground pipeline and geological exploration work. The reworking workload caused by engineering hole exploration design errors is effectively reduced, and economic losses caused by hole exploration punching risks are effectively avoided.

The invention provides a ship collision early warning method and device and a storage medium, and belongs to the technical field of ship early warning, and the method comprises the steps: importing the dynamic information of a moving target around a ship, obtaining an original ship environment image from a multi-channel video sensor disposed on the periphery of the ship, and obtaining original distance data from a laser radar; performing fusion analysis on each original ship environment image and each original distance data to obtain a target panoramic video and preprocessed distance data; and performing collision analysis on the target panoramic video, the preprocessed distance data and the dynamic information to obtain collision data. According to the invention, the perception, detection and collision avoidance early warning capabilities of the periphery of the ship are greatly improved, full-view coverage is realized, the problem of existence of a monitoring blind area is solved, meanwhile, fusion of multi-source data is realized, the target identification precision is improved, the probability of misjudgment and missing judgment is reduced, and the intelligence of collision early warning is realized.

The invention relates to the technical field of human-vehicle interaction, in particular to an intelligent early warning method and device for dangerous emotion driving behaviors and a medium. The method comprises the following steps: acquiring a driving portrait group and a driving electroencephalogram signal of a driver in real time; extracting portrait emotion semantics of the driving portrait image group and electroencephalogram emotion semantics of the driving electroencephalogram signals, and weighting and fusing the portrait emotion semantics and the electroencephalogram emotion semantics into driving emotion semantics; collecting driving behavior data of a driver, and performing time sequence behavior analysis on the driving behavior data and the driving emotion semantics to obtain a driving behavior analysis result; collecting real-time traffic flow information, performing track preview on the traffic flow information, and generating a collision analysis result according to a track preview result and the driving behavior analysis result; and performing early warning on the driver according to the collision analysis result. According to the technical scheme, the accuracy of driving behavior early warning can be improved.

The invention provides a collision analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a request deceleration of an automatic emergency braking function of a test vehicle, and first deceleration data and second deceleration data in the triggering process of the automatic emergency braking function of the test vehicle, the test vehicle intrudes a target distance of the target vehicle colliding with the test vehicle; the first deceleration data is the deceleration in the process that the anti-lock braking system function of the test vehicle is not triggered; the second deceleration data is the deceleration in the function triggering process of the anti-lock braking system of the test vehicle; according to the requested deceleration, the first deceleration data and the second deceleration data, the braking distance of the tested vehicle prolonged due to the function of the anti-lock braking system is calculated; and performing numerical comparison on the braking distance and the target distance to obtain a collision analysis result. According to the invention, vehicle collision can be accurately analyzed, and reliable data support is provided for optimization of a subsequent safety system.

The invention discloses a vehicle collision simulation method based on finite element analysis, and relates to the field of collision simulation, and the method comprises the following steps: setting a vehicle collision simulation platform, inputting vehicle data information corresponding to a vehicle model, setting a vehicle geometric model according to the vehicle data information, and marking parts in the vehicle geometric model; setting part grid nodes and a corresponding vehicle finite element model according to part information in the vehicle geometric model; setting a stress calculation scheme and collision influence data of the part network nodes, setting data processing nodes according to the adjacent part network nodes, and setting a simulation collision analysis model according to the data processing nodes and the vehicle finite element model; setting corresponding simulation collision parameters, inputting the simulation collision parameters into the simulation collision analysis model, and analyzing and processing the simulation collision parameters by the data processing node and the part network node to obtain a simulation collision result; according to the invention, the accuracy in the simulation collision process is improved to a certain extent.

The invention belongs to the technical field of fabricated building design, and particularly relates to a BIM-based component collision analysis method and system in large-span steel arch construction, and collision judgment is systematically performed on a target component and remaining steel arch components by adopting a collision analysis process based on a minimum bounding box method. A bounding box parallel to a coordinate axis is constructed, according to component coordinate range comparison, collision risks are quickly and accurately recognized, collision and non-collision results are automatically generated, collision avoidance analysis is innovatively performed from the two aspects of direction and distance by accurately obtaining collision overlapping areas and intersection points according to the collision results, and the collision avoidance accuracy is improved. The avoidance angle and the translation distance are determined, detailed avoidance information is generated, accurate guidance is provided for construction adjustment, the collision risk is reduced, and smooth construction is guaranteed.

The application discloses a rectangular stockyard stacker-reclaimer collision prevention method and system, belongs to the technical field of stacker-reclaimer anti-collision analysis, simplifies detection and calculation of three-dimensional position coordinate positions of a cantilever end of a stacker and a top end of a reclaimer rake in a rectangular stockyard, and after checking longitudinal and vertical space coordinates, only accurate measurement of horizontal positions of the two is needed to build software safety anti-collision functions of the two vehicles; a set of laser ranging sensors is added to each stacker-reclaimer, and the set of laser ranging sensors is used for tracking and redundancy backup; position detection sensors are evenly arranged beside tracks on both sides of the stockyard, and encoder data on traveling wheels of the stacker-reclaimer is compared and checked; in addition to building software installation anti-collision functions based on accurate detection of equipment coordinate positions, a set of ultrasonic ranging and rope anti-collision systems is arranged on a large arm of the stacker-reclaimer, and the set of ultrasonic ranging and rope anti-collision systems together form a safety anti-collision system of the rectangular stockyard stacker-reclaimer, and create a fundamental guarantee for safe and stable operation of unattended operation of the stockyard.

This invention provides a reverse vehicle search method, apparatus, device, and storage medium, comprising: acquiring a target person identifier and target vehicle information of a target vehicle; acquiring target image data collected by multiple cameras in a designated area; the multiple cameras are distributed along a driving lane in the designated area, and parking spaces are set around the driving lane; based on the target vehicle information and the target person identifier, performing target tracking and trajectory fitting processing on the target image data of each camera to determine a first driving trajectory corresponding to the target vehicle and a second movement trajectory corresponding to the user; performing trajectory collision analysis on the first driving trajectory and the second movement trajectory to determine the target location where the target vehicle is parked, and determining a reverse vehicle search path based on the user's current location and the target location. Using this invention can reduce the hardware cost of reverse vehicle search.

The invention is suitable for the field of building construction, and provides a safety monitoring method and system based on building construction, and the system comprises an environment perception and construction state analysis module, an object movement track monitoring module, a collision analysis and damage detection module, and a safety marking module. According to the scheme, the construction site can be accurately monitored in real time, especially in high-risk operations such as cutting and hammering. The system not only can capture and analyze the trajectory of the splashing object in real time and position the final drop point of the splashing object, but also can detect and evaluate possible damage of the flying object to the building body by utilizing an advanced image recognition technology. Through the combination of real-time monitoring and instant analysis, the safety management efficiency of the construction site is greatly improved, preventive safety management is realized, and the possibility of accidents is reduced. Through comprehensive functions of the system, the safety and the construction efficiency of a construction site are remarkably improved, and the system is an indispensable safety guarantee tool for modern building construction.

The present application belongs to the technical field of automobile collision analysis, and particularly relates to a dynamic characteristic profile identification method based on real-time measurement of a flexible array pressure sensor. The sensor is first arranged on the front of a dummy and bound with a safety belt. During a collision test, pressure data is sampled through a parallel hierarchical staggered sampling architecture, and a collection result is obtained through time cross-sampling combination. Then, the result is sequentially subjected to signal amplification, noise removal, data correction and missing supplement. Subsequently, a dummy force surface profile visualization interface is constructed, the pressure mean value in a preset time window is calculated as a display threshold, and the interface parameters are updated. Then, the sensor discrete pressure points in the interface are interpolated and smoothed, and a binary image is obtained through original image processing. Finally, a profile extraction algorithm is called to complete core profile extraction and post-processing, and a safety belt acting dummy force profile visualization image is obtained. The present application can solve the problems of insufficient monitoring precision of safety belt on dummy force distribution and low data analysis visualization degree in the prior art.

The invention discloses an image and point cloud multi-modal data enhancement method, which comprises the steps of collecting image data through a camera, collecting point cloud data through a laser radar, and combining the image data and the point cloud data to obtain a training data set; generating a truth value sample set containing all image truth value blocks and corresponding point cloud blocks from the training data set through an instance segmentation network; pasting (GTSP) a true value sample set conforming to a condition to an original training data set through occlusion threshold judgment and bounding box collision analysis; processing the image and the point cloud data by adopting a bidirectional enhancement module (TrAug) to obtain an enhanced image and an enhanced point cloud; and performing feature alignment on the enhanced image and the point cloud. According to the method, the effect of accurately aligning the internal and external parameter mapping relation between the spatial point cloud and the plane image during the enhancement operation between the image and the point cloud data is realized.

The present disclosure provides a vehicle collision detection method and device, a vehicle, a storage medium and a program product, and relates to the technical field of vehicles. The method comprises the following steps: acquiring audio information inside and outside the vehicle, and obtaining first collision information according to the audio information; then acquiring external environment information of the vehicle, and obtaining second collision information according to the external environment information; and then performing collision analysis according to the first collision information and the second collision information to obtain a collision detection result. The present disclosure combines two different data, i.e., audio information and external environment information, and comprehensively performs collision detection on the first collision information and the second collision information, so that the collision can be more comprehensively evaluated, and the accuracy of the collision detection is improved. In addition, the audio information and the external environment information can also be collected in the case of slight collision, and the present disclosure is not affected by the degree of collision, so that the slight collision can be detected, and the collision condition of the vehicle can be timely reported.

The invention discloses a BIM + AR-based digital integrated construction method for ocean platform reconstruction, and the method comprises the following steps: S1, investigating an operation environment, and carrying out the three-dimensional scanning operation of a platform construction region through a three-dimensional laser scanning instrument according to a field actual environment; s2, the scanned point cloud data is processed, and reverse modeling is carried out; s3, performing model check analysis, data matching and collision analysis; s4, the collision analysis is evaluated, and if no collision exists, digital integrated prefabrication processing design is carried out, and the land prefabrication proportion is increased; s5, automatic prefabrication construction is carried out; s6, installation and connection are carried out; s7, the digital technology is debugged, and debugging work is carried out; and S8, digital delivery is carried out, and project completion is realized. According to the digitized integrated construction method for ocean platform reconstruction based on BIM + AR provided by the invention, the land prefabrication rate and the construction efficiency are improved, and the cost is saved.

The invention discloses a constellation satellite collision analysis method based on a space debris environment topology network model, and relates to the field of aerospace. The method comprises the following steps: carrying out volume element subdivision on a space target to obtain a plurality of space object group nodes; based on the migration direction of the space target group, the connection relation of the multiple space object group nodes is analyzed and processed, a topological structure is constructed, and a topological network is obtained; carrying out modeling processing on the topology network based on the space debris influence factors by adopting a fluid mechanics method to obtain a space debris environment topology network model; analyzing and solving the space debris environment topology network model by adopting an adjacent matrix to obtain an evolution prediction result of the space debris environment; and performing collision analysis on the constellation satellites according to the evolution prediction result by adopting a collision probability algorithm to obtain a collision analysis result. The invention aims to quickly realize fragment evolution so as to carry out collision analysis of constellation satellites.

The present application relates to the technical field of traffic safety, and discloses a data processing method and system based on a vehicle and pedestrian lower limb collision analysis model to realize rapid prediction of lower limb injury. The method comprises the following steps: constructing a vehicle and pedestrian lower limb collision analysis model, setting a collision point on a calf mass block when subjected to a collision force brought by a vehicle head, the calf mass block moving along a collision direction under impact load, and establishing a coordinate system with the calf mass point as a system coordinate origin; and in the movement process of the vehicle and pedestrian lower limb collision, the whole lower limb system moves as a projectile relative to the coordinate system and the thigh rotates around the calf, and when the thigh collides with the front edge of the vehicle engine cover, the thigh rotates to a limit position; obtaining an analytical equation of the pedestrian lower limb freedom degree model and an acceleration solving formula of the thigh mass point, and then solving the acceleration of the pedestrian thigh and calf in the collision process according to the vehicle and pedestrian lower limb collision analysis model to perform injury assessment.

This invention relates to the field of food safety monitoring and digital supply chain management technology, specifically a traceability data processing system for the entire production process of edible vegetable oil. The system includes: a traceability data management center for obtaining current quality status predictions and aging rate constants; a risk collision analysis unit for performing safety threshold comparison analysis on the collected current quality status predictions, conducting compliance judgment processing on the edible vegetable oil to be judged, and obtaining a safety retention signal or a risk interception signal; when a risk interception signal is generated, a dynamic decision execution unit for generating a freeze command and sending it to the warehouse management system; and when a safety retention signal is generated, the dynamic decision execution unit for obtaining dynamic shelf-life data and mapping the dynamic shelf-life data to the terminal display port. This invention solves the technical problem that traditional static traceability cannot perceive environmental thermal history, significantly improving the predictability and accuracy of quality control throughout the entire lifecycle.

The application discloses a real-time optimization scheduling method for inspection tasks based on artificial intelligence, and relates to the technical field of data processing.The method comprises the following steps: for an inspection site, full-factor spatio-temporal perception mapping is performed to determine an inspection view; based on the inspection view, a scheduling optimization model is supervised and trained; an inspection task is received, collision analysis under high concurrency is performed, and an optimization instruction for inspection scheduling is generated; the scheduling optimization model is combined to perform balanced scheduling and distribution of the inspection task, a task scheduling strategy is determined and transmitted and placed to an inspection target, and execution and tracking management of the inspection task are performed.The application solves the technical problem that the conventional inspection task scheduling method in the prior art is usually static, cannot adapt to changes in the site environment in real time, and leads to inflexible task scheduling and low resource utilization, and achieves the technical effect that the task scheduling strategy is dynamically adjusted according to real-time data of the inspection site, and the real-time performance, flexibility and resource utilization efficiency of the inspection task are improved.

The present invention discloses a multi-point docking control method for a tidal robot, which relates to the technical field of tidal robot docking control. The multi-point docking control method for the tidal robot obtains the initial and target position coordinates of each tidal robot, generates a path and moves the first tidal robot to the target position, analyzes the optimal path of the second robot, and moves it to the target position, conducts collision analysis and docking preparation, calculates a comprehensive evaluation index through image segmentation, three-dimensional coordinate acquisition, deviation analysis and contact force feedback, and adjusts the position until the docking is completed. Repeat path screening, movement and docking analysis to complete the multi-point docking tasks of all tidal robots. The present invention greatly improves the rationality of docking path planning and the efficiency of robot movement by introducing trajectory screening and multi-dimensional comprehensive analysis, including path length, time, curvature, energy consumption, etc., to select the optimal path and dynamically adjust the movement trajectory.

The invention discloses a simulated collision analysis method for a jacket steel pile and a skirt pile sleeve, and the method comprises the steps: firstly, employing a point cloud alignment method based on principal component analysis to adjust the point cloud coordinates of the steel pile, so as to guarantee that the point cloud data is consistent with a standard coordinate system, and improve the analysis accuracy. And then the steel pile point cloud is subjected to segmentation processing, and the normalization technology and a point cloud circle center dynamic alignment method are adopted to eliminate the influence caused by data scale differences. And finally, in the process of gradually simulating that the steel pile dynamically penetrates through the skirt pile sleeve, a collision distance calculation method based on space division optimization is adopted, the nearest distance between the steel pile and the skirt pile sleeve is calculated in real time, and whether collision occurs or not is judged. According to the simulation collision analysis method for the jacket steel pile and the skirt pile sleeve, the collision risk between the steel pile and the skirt pile sleeve can be effectively recognized, and therefore the mounting precision and safety of the jacket are remarkably improved.

The application relates to the technical field of automobiles and discloses an automobile anti-collision control method, system, device and storage medium. In the application, firstly, whether a barrier needs to start a warning is judged according to the driving state between the vehicle and the barrier, if the starting warning condition is reached, a to-be-monitored object is obtained through coarse screening based on the relative distance of the vehicle, and the to-be-monitored object is numbered, and then secondary refinement is carried out on the to-be-monitored object under the influence of factors such as acceleration, so as to judge whether a warning signal is sent. Not only can the barrier closest to the vehicle be subjected to priority anti-collision analysis based on the number, but also the total number of target barriers can be reduced to achieve data lightening, improve the identification rate and reduce the false alarm rate of the warning.

The invention discloses a three-dimensional visual lightning protection analysis method based on optimal triangle division, and the method comprises the steps: 1, constructing a lightning rod arrangement module, a protection range drawing module, an intelligent protection effect analysis module, and a result output module based on a CATIA 3DE integrated digital platform; 2.1, setting the specific position of the lightning rod through a click method or a coordinate method, generating a lightning rod model, and storing the lightning rod model in a database for analysis and calculation; 2.2, parameter information of the lightning rod is acquired, and a protection range calculation method is selected; 2.3, reading parameters of the lightning rod protection range model and related parameters of the protected object model, and performing collision analysis on the two parameters; and 2.4, when the lightning rod protection range model realizes complete protection on the protected object, outputting results of a profile map, a profile view, an axis view and a lightning rod parameter table of the lightning protection range. According to the method, the three-dimensional entity guidance construction of the lightning protection design is realized, and the requirement on the lightning protection design in the engineering design is met.

The present invention relates to the field of architectural design technology, specifically a method for designing prefabricated buildings based on BIM software, comprising the following steps: analyzing component connection paths and node numbers, combining installation direction and spatial numbering to generate classification codes, analyzing node connections and support status, comparing lower node matching relationships to adjust the layout sequence, constructing an envelope shell to detect collisions, analyzing the relationship between center of gravity and boundaries, adjusting the configuration and optimizing the hoisting sequence, and outputting a segmented sequence. The present invention refines the continuity of prefabricated building component connection paths and node numbers, combines the participation sequence with spatial numbering, sorts and identifies components by structural dimensions, integrates connection relationships and spatial layout, dynamically adjusts the layout sequence, verifies support status in real time, and generates spatial conflict records. Furthermore, component positioning and path assembly sequence are optimized by center of gravity offset and height difference sorting, thereby improving resource utilization and assembly accuracy.

The application provides a design and construction method of a decorative integrated downpipe structure, which comprises the following steps: establishing a building model by using a curved roof modeling software, finding points of a special-shaped curved roof, and determining the elevation thereof; decomposing the building model into coordinate points by using a decomposed curved model software; connecting the coordinate points to form geometric lines by using a geometric modeling software, establishing a three-dimensional model, and preliminarily selecting the positions of eaves gutters and downpipes; giving sizes and physical properties to the geometric lines and performing collision analysis by using a physical model component analysis software, and optimizing the positions of the downpipes; reasonably planning a curved roof drainage scheme, optimizing the positions of the downpipes, guiding construction slope finding, improving the design and construction efficiency, and ensuring the normal operation of the drainage system. The downpipe is fixed by a light steel frame, is more stable, and is protected by a decorative shell which is arranged on the outer sides of the two light steel frames, so that the downpipe can be hidden and the building appearance can be beautified.

The application discloses a vehicle collision detection method based on elastic waves and a multimodal large model, which comprises the following steps: collecting elastic wave signals by a vehicle end MCU, performing threshold judgment through an instant response layer, triggering a safety system immediately if it is a high-intensity collision, inputting the signals into an EWCN model of an edge intelligent layer by the vehicle end MCU if it is not a high-intensity collision, performing fine-grained classification on the non-high-intensity collision signals, directly adopting the classification result if the EWCN model outputs a high confidence or low confidence result, uploading multimodal data packets to a cloud deep analysis layer if the EWCN model outputs a to-be-confirmed scene, receiving data by a cloud server, performing fusion analysis on the multimodal input data by calling a VLM model, outputting an event type judgment result and corresponding explanation and returning to the vehicle end. The application solves the problem that a traditional scheme cannot simultaneously satisfy instant response and accurate classification, and meets the dual demands of rapid triggering of a safety airbag and fine collision analysis.

The invention belongs to the technical field of automobile collision analysis, and particularly relates to a dynamic feature contour recognition method based on real-time measurement of a flexible array pressure sensor, which comprises the following steps of: arranging the sensor on the front side of a dummy and binding a safety belt, sampling pressure data through a parallel hierarchical staggered sampling framework during collision test, obtaining an acquisition result through time cross sampling and merging; sequentially performing signal amplification, noise removal, data correction and omission supplementation on the result; then constructing a visual interface of the stress surface contour of the dummy, calculating a pressure mean value in a preset time window as a display threshold value, and updating interface parameters; performing interpolation smoothing on discrete pressure points of the sensor in the interface, and processing an original image to obtain a binary image; and finally, a contour extraction algorithm is called to complete core contour extraction and post-processing, and a visual image of the stress contour of the dummy acting on the safety belt is obtained. The problems that in the prior art, the safety belt is insufficient in dummy stress distribution monitoring precision, and the data analysis visualization degree is low can be solved.

The application discloses a B column of a vehicle and a design method thereof, wherein a roof protection section and a side impact protection section of the B column are symmetrically arranged on the upper side and the lower side of a plate main body. The side impact protection section comprises a performance surplus optimization region, a collapse energy absorption region, a chest protection region and an abdomen protection region arranged in sequence from bottom to top, the thickness of each region is determined by the result of collision analysis, the thickness of each region of the roof protection section is symmetrically arranged with the thickness of the side impact protection section with the center line of the plate main body as a symmetric center, and the plate main body is formed by continuous section change rolling through a flexible roll process. The application can improve the material utilization rate of the flexible roll process, reduce the setting of additional reinforcing structures and local thickening structures, and thus reduce the material cost and the processing cost.