42 results about "Collision analysis" patented technology

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 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 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 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 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 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 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 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 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.

The application discloses an automatic driving control method for a vehicle to drive out of a roundabout and related equipment. The method comprises the following steps: acquiring a current driving characteristic variable of a target vehicle; acquiring a set of motion characteristic variables of an occlusion obstacle in a first direction and a set of motion characteristic variables of a crossing obstacle in a second direction, wherein the first direction is not crossed with the driving direction of the target vehicle, and the second direction is crossed with the driving direction of the target vehicle; performing a game analysis operation on the set of motion characteristic variables of the occlusion obstacle and the set of motion characteristic variables of the crossing obstacle to acquire a set of key obstacle characteristic variables, wherein the game analysis operation is to filter the characteristic variables of the unaffected crossing obstacle in the set of motion characteristic variables of the crossing obstacle according to the set of motion characteristic variables of the occlusion obstacle to acquire the set of key obstacle characteristic variables; and performing a collision analysis on the set of key obstacle characteristic variables and the current driving characteristic variable to determine a roundabout driving-out strategy of the target vehicle.

This invention provides a vehicle scheduling method and system for a two-way, two-lane unsignalized intersection, comprising: Step S1: Preprocessing vehicles based on given real-world traffic conditions at a two-way, two-lane intersection to determine the likelihood of collisions and analyze conflict relationships between vehicles; Step S2: Constructing a vehicle scheduling model based on deep search of conflict relationships; Step S3: Utilizing nonlinear programming to make vehicle action decisions, determining the optimal passage time and vehicle acceleration; and based on the vehicle scheduling model, performing lower-level planning to design a vehicle scheduling strategy for the unsignalized intersection; Step S4: Building a simulation scenario of the intersection based on a given real-world intersection scenario and initializing vehicle information for each vehicle; Step S5: Inputting the vehicle information into the vehicle scheduling model to make behavioral decisions and obtain the action output of each vehicle at the next moment. This invention can improve vehicle traffic efficiency and reduce the probability of accidents.

Methods and systems for detecting vehicle crash events using real-time sensor data are disclosed. In some embodiments, an application executing on a computing device disposed in a vehicle receives a stream of time-series data from one or more motion sensors during a drive. For each contiguous interval of a first predefined length, the application generates a crash prediction indicative of whether a crash occurred during that interval. Generating the crash prediction includes executing a crash detection neural network on sensor data collected over a time period that comprises the interval and has a second, greater predefined length. For each crash prediction, the application determines whether the prediction meets one or more predefined threshold criteria. In response to meeting the criteria, the application generates a crash analysis using the corresponding sensor data.

The invention relates to a service flow auditing method, which comprises the following steps of: acquiring and dynamically updating data from a basic data source, a record information source, a network flow source and an equipment configuration source which are mutually independent in a service system to form a multi-dimensional data set; performing association comparison and collision analysis on the multi-dimensional data set, and identifying potential anomalies of the service IP in a full-link life cycle from data entry, filing registration to flow traction and table item loading; the identified potential anomaly is confirmed by adopting a double-layer verification mechanism combining preliminary screening and fine judgment, and the fine judgment adopts a protocol-level interactive verification mode based on active detection and flow mirror image collaboration; and based on the blood relationship between the data table entries and a preset service strategy matrix, performing root cause analysis on the confirmed exception, and automatically positioning the specific link and type of the exception. The multi-source heterogeneous data such as basic data, filing information, real-time flow and equipment table items are subjected to linkage collision analysis, the auditing dimension is expanded to a dynamic service full link from traditional static data, and full coverage of various hidden abnormal scenes is achieved.

Examples described herein provide a method for performing a predictive collision analysis. The method includes initiating the predictive collision analysis to be performed on a processing system, the predictive collision analysis being performed using a plurality of prediction properties. The method further includes setting a prediction property of the plurality of prediction properties using a signal received from an electronic steering wheel communicatively coupled to the processing system. The method further includes performing, by the processing system, the predictive collision analysis using the prediction property.

The invention provides an intelligent avoidance method, system and device for display equipment, and the method comprises the steps: obtaining equipment position coordinates and pedestrian dynamic information through a sensor of the display equipment, carrying out the collision analysis of the pedestrian dynamic information based on the equipment position coordinates, and obtaining the collision information; driving the display equipment to display avoidance prompt information based on the collision information; within a preset time period after the avoidance prompt information is displayed, continuously acquiring pedestrian feedback information, and performing pedestrian feedback detection on the pedestrian feedback information to obtain behavior detection information; according to the invention, the equipment can make an intelligent decision according to the actual response of pedestrians, and the conversion from passive obstacle avoidance to active cooperation is realized, so that the passing efficiency of the equipment is greatly improved on the premise of ensuring safety, and unnecessary pauses are reduced.

The invention discloses a three-dimensional engine path planning method, system and terminal based on a topological relation, and the three-dimensional engine path planning method based on the topological relation comprises the steps: S100, constructing an initialized topological graph; s200, carrying out real-time dynamic topology maintenance; s300, planning and optimizing a topology sensing path; and S400, carrying out hierarchical accurate collision analysis. According to the method, deep fusion of microscopic geometric collision information and macroscopic topological connectivity analysis is realized through construction of an initialized topological graph, real-time dynamic topological maintenance, topological perception path planning and optimization and hierarchical accurate collision analysis; the problems of low collision detection efficiency, insufficient path planning accuracy and poor dynamic adaptability in a dynamic scene are effectively solved.

According to the multi-sensor-based bucket wheel machine auxiliary driving system and method provided by the embodiment of the invention, multi-source heterogeneous sensor data such as a laser radar, a millimeter wave radar, an IMU (Inertial Measurement Unit) and an angle are acquired, and strict time synchronization is performed, so that a foundation is laid for subsequent processing. And then, the real-time pose of the bucket wheel is accurately obtained by utilizing efficient fusion of IMU and angle data. On the basis, the three-dimensional model of the material pile is dynamically updated in combination with the real-time position and posture of the bucket wheel and radar data, and the accuracy and the real-time performance of environmental perception are ensured. The system is characterized in that the system can generate a dynamic safety envelope based on the real-time pose of a bucket wheel, the dynamic safety envelope and an updated three-dimensional model of the material pile are subjected to prospective predictive collision analysis, and the collision risk level is evaluated by calculating the predicted collision time. And finally, according to different risk levels, a graded alarm strategy is generated and displayed, so that timely and accurate auxiliary information is provided for a driver.

The invention belongs to the field of information security, and relates to a side channel collision analysis method based on deep learning. The method comprises the following steps: firstly, collecting waveforms leaked when a password device encrypts a random plaintext, positioning operation fragments related to keys in the waveforms, grouping the keys according to corresponding parts, and normalizing the length; waveform fragments corresponding to different partial keys are spliced end to end to form'partial waves', and corresponding plaintext fragment XOR results are used as labels to construct a training data set. And training the data set by using the convolutional neural network, and recovering the XOR relationship among partial keys by recording the tag corresponding to the highest recall rate. And repeating the above steps to obtain the XOR relationship of all the partial keys, randomly selecting a possible value of one partial key, calculating a complete key guess value, and carrying out encryption verification to determine a real key. According to the method, the features are directly extracted from the original waveform, manual sample screening or complex preprocessing is not needed, the anti-noise capability is high, and the implementation complexity of side channel analysis is remarkably reduced.

The application provides a digital garment factory three-dimensional model building method and device, which comprises the following steps: based on the quantity of workstations required, a sewing workstation model is instantiated on a three-dimensional scene floor grid to obtain a sewing unit; based on the maximum rotating diameter and the maximum physical swing radius of the finished garment after hanging, a sweep radius is determined; based on the peripheral boundary of the sewing unit, a safety isolation ring line is generated outward with the sweep radius as the offset distance; a three-dimensional shelf model library is called in the area outside the safety isolation ring line, and a hanging shelf array is generated based on the finished garment storage capacity requirement; an AGV transportation model is instantiated based on the track data of the safety isolation ring line, collision analysis is performed based on the AGV transportation model and the safety isolation ring line, and an AGV navigation path is obtained; and based on the spatial position relationship of the AGV navigation path, the sewing unit and the multi-layer hanging shelf array, rendering is performed to generate a digital garment factory three-dimensional panoramic model. The application eliminates the safety hazards of mixed human-machine operation.

The invention relates to the technical field of food safety monitoring and supply chain digital management, in particular to an edible vegetable oil production whole-process traceability data processing system, which comprises a traceability data management center used for obtaining a current quality state predicted value and an aging rate constant; the risk collision analysis unit is used for carrying out safety threshold comparison analysis on the collected current quality state prediction value and carrying out compliance judgment processing on the edible vegetable oil to be judged to obtain a safety retention signal or a risk interception signal; when the risk interception signal is generated, the dynamic decision execution unit is used for generating a freezing instruction and sending the freezing instruction to the warehouse management system; when the security retention signal is generated, the dynamic decision execution unit is used for obtaining dynamic shelf life data and mapping the dynamic shelf life data to a terminal display port; according to the invention, the technical problem that the traditional static traceability cannot sense the environment thermal history is solved, and the predictability and accuracy of the full-life-cycle quality control are remarkably improved.