95 results about "Collision analysis" patented technology

The invention belongs to the technical field of robot control, and particularly relates to an automatic grinding control system and method for a rotor support longitudinal welding seam robot, the system comprises a visual inspection unit, a point cloud integration unit, a path planning unit and the like, all the units work cooperatively, and automatic grinding of a curved surface structural part welding seam is achieved. The system further has the functions of collision analysis, self-inspection, process programming, fault alarm and the like, the grinding efficiency, quality and system safety are effectively improved, the defects in the prior art are overcome, and development of related industries is promoted. The method comprises the steps of workpiece positioning, scanning, data processing, trajectory planning, simulation verification, grinding operation, fault processing and the like. Workpiece information is obtained through far-end and near-end scanning, a grinding track is accurately planned, and track adduction is carried out by considering the radius of a tool. According to the technical scheme, the problems that existing rotor support welding seam polishing depends on manual operation, and a traditional automatic polishing system has defects and cannot meet the polishing requirements of complex structural parts are solved.

The invention relates to the technical field of equipment control, in particular to an artificial intelligence-based disinfection and killing equipment control system, which comprises an operation area acquisition module for acquiring planar graph information of an operation area of disinfection and killing equipment; the plane coordinate construction module is used for constructing a work area coordinate system; the inspection information acquisition module is used for acquiring the inspection information and the operation information of the killing cancelling equipment; the routing inspection path analysis module is used for analyzing the routing inspection demand area and further used for analyzing routing inspection area parameters; the disinfection and killing target analysis module is used for analyzing the types of the disinfection and killing target area and the inspection area; the inspection collision analysis module is used for analyzing the path collision type; the inspection path optimization module is used for optimizing the inspection path of the disinfection equipment; and the equipment inspection control module is used for controlling the disinfecting and killing equipment to perform disinfecting and killing operation in the inspection demand area according to the inspection path. According to the invention, accurate control of the running track of the disinfection equipment is realized.

The invention relates to the technical field of building construction, in particular to a tubular column foot pre-embedding positioning method and device. The method comprises the steps of obtaining a steel structure construction drawing; constructing a tubular column and embedded foundation bolt construction model according to a steel structure construction drawing; according to the construction model, a positioning relation between the embedded foundation bolts and the vertical main reinforcements is established; construction model collision analysis and a three-dimensional simulation experiment are carried out based on the positioning relation of the embedded foundation bolts and the concrete main reinforcements; and processing and mounting the steel structure device based on the construction model. By optimizing construction nodes, the engineering quality is improved, the problem that the embedded steel plate cannot be reused is solved, the vertical column rib and foundation bolt embedded steel plate grinding tool is controlled to freely stretch out and draw back to control the position of the reinforcing steel bar, the effect of reusing different column diameters is achieved, the construction efficiency is improved, the progress is accelerated, and the construction cost is reduced. And the method has good economic and social benefits.

The invention discloses an inspection task real-time optimization scheduling method based on artificial intelligence, and relates to the technical field of data processing, and the method comprises the steps: carrying out the total-factor space-time perception mapping for an inspection site, and determining an inspection view; supervising and training the scheduling optimization model based on the inspection view; receiving an inspection task, performing task collision analysis under high concurrency, generating an optimization instruction of inspection scheduling, performing balanced scheduling distribution of the inspection task in combination with the scheduling optimization model, determining a task scheduling strategy, transmitting and releasing the task scheduling strategy to an inspection target, and performing execution and tracking management of the inspection task. The technical problems of inflexible task scheduling and low resource utilization rate caused by the fact that a traditional inspection task scheduling method in the prior art is generally static and cannot adapt to field environment change in real time are solved, and the purposes of dynamically adjusting the task scheduling strategy according to real-time data of an inspection field and improving the task scheduling efficiency are achieved. And the real-time performance, the flexibility and the resource utilization efficiency of the inspection task are improved.

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 provides a construction simulation system for real-time dynamic collision detection. The construction simulation system comprises a space positioning module, an activity analysis module, a real-time dynamic collision detection module and a real-time dynamic collision detection module, wherein the space positioning module is used for respectively positioning corresponding building positions of each specified building component at different construction moments in a construction simulation model; the activity analysis module is used for analyzing a construction track corresponding to each specified building component; the system comprises a construction simulation module for determining collision positions among different specified building components, a collision analysis module for acquiring a collision result corresponding to each collision position and screening a target specified building component corresponding to a non-ideal collision result, and a collision elimination module for respectively adjusting a target construction track in a construction simulation model. The method comprises the following steps of: performing virtual track adjustment until a construction simulation model does not contain a non-ideal collision result, analyzing a collision phenomenon possibly occurring in the construction according to the actual condition of a construction area and building requirements before formal construction, and performing virtual track adjustment by utilizing the model to achieve the purpose of eliminating collision, so that the construction quality is ensured in the construction process, and the construction efficiency is improved. And the collision phenomenon is effectively reduced.

The invention provides an electromagnetic accompanying signal identification method and system based on collision and accompanying analysis, and relates to the technical field of electromagnetic signal processing, and the method comprises the steps: obtaining different types of electromagnetic original signal data, and carrying out the preprocessing of the data to form a standard electromagnetic signal; extracting a central frequency point, a bandwidth and a modulation mode of a standard electromagnetic signal, and matching the central frequency point, the bandwidth and the modulation mode of the signal with a knowledge base signal according to a knowledge base matching method so as to separate an existing signal from an unknown signal; classifying the signals according to a grouping rule to form different sets, and extracting multi-scale feature data from the signals of the different sets; and performing signal collision analysis on the multi-scale feature data of different sets to obtain a collision set of the same signal, and performing adjoint analysis on the signals in the collision set to obtain adjoint signals of all the signals. According to the invention, an accompanying signal or a collision signal of the signal can be effectively found out, and an accompanying signal source can be quickly found out.

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 discloses a method and system for carrying out net height analysis on a building based on a BIM technology, and relates to the field of intelligent building analysis. According to the method and the system for carrying out net height analysis on the building based on the BIM technology, a BIM building large model is established through the data analysis module and the AI engine, and collision analysis is carried out according to variable data and building main body fixed parameter information, so that the net height of each floor is analyzed, a problem area is automatically identified, and the analysis efficiency is improved. According to the method, a problem area is established, the problem type of the problem area is identified, an optimization scheme database is established, a solution scheme is given through database application, adaptive adjustment is carried out, and an analysis result is finally generated, and through the analysis method, the net height requirement of the whole building can meet the overall influence design requirement. By adjusting the movable variable data, the net height design requirement is met, one-by-one data checking and adjustment by manpower are not needed, and the workload is reduced.

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 invention discloses a CAE (Computer Aided Engineering) optimization method based on vehicle multi-working-condition collision analysis, which comprises the following steps of: S1, establishing a vehicle finite element model for optimization analysis based on a CAE technology and grid division software Ansa, setting the unit size to be 10mm, setting 2002989 units and 1806803 nodes for a whole vehicle, and using 48 materials including glass, structural steel, aluminum alloy, rubber and damping rubber for the whole vehicle, the finite element model is composed of a body-in-white, a power assembly, a steering system, front and rear suspension systems, front and rear bumpers and a battery pack. According to the optimization method, a comprehensive and scientific analysis means is provided for automobile comprehensive performance optimization, and the rationality and safety of the automobile structure can be comprehensively evaluated in the design stage by accurately simulating the performance of the automobile under multi-working-condition collision, so that design improvement is effectively guided, the design period is remarkably shortened, the design cost is reduced, and the design efficiency is improved. And the overall competitiveness of automobile products is improved.

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.

According to the automatic driving adversarial learning method based on recent development area guidance provided by the invention, personal factors and adversarial factors of an adversarial vehicle and an ideal return upper limit of the vehicle are comprehensively considered, so that a generated adversarial task is ensured to be solvable while having challenging performance, and the adversarial learning method accords with a traffic rule and is high in practicability. The learning and adaptation of the self-vehicle agent are effectively promoted; secondly, a concept of'potential vehicle threat 'is introduced, and dynamic adjustment of specific gravity coefficients among constraint terms of a loss function is realized based on a ZPD theory, so that task difficulty is adaptively changed in a training process, and a self-vehicle is promoted to learn faster; and finally, a collision analysis method is provided, the severity of collision is evaluated and a collision loss value is calculated through vehicle body collision points, collision angles and collision speed factors, and the collision loss value is incorporated into a loss function of the own vehicle and the confronting agent, so that the model is ensured to update parameters according to detailed collision risks.