331 results about "Collision system" patented technology

The invention discloses an intelligent driving cooperative collision avoidance system and method based on the Internet of Vehicles, and belongs to the technical field of automatic driving. Comprising a vehicle-mounted unit, a road side unit and a service platform, the vehicle-mounted unit is used for collecting vehicle state information and surrounding environment information and sending the vehicle state information and the surrounding environment information to the road side unit and the service platform. The road side unit is used for collecting road condition information, performing target detection based on the surrounding environment information and the road condition information, and obtaining obstacle information; and the service platform is used for evaluating a collision risk according to the vehicle state information and the obstacle information, predicting an optimal collision avoidance strategy based on the collision risk, and sending an instruction to the vehicle-mounted unit to perform collision avoidance control. Potential collision risks can be analyzed based on vehicle state information and road condition information which are shared in real time, and the safety of road traffic is improved. The problem that a traditional collision avoidance system mainly depends on perception and decision of a single vehicle and lacks cooperation with other vehicles and road infrastructures is solved.

The invention discloses an RFID electronic tag anti-collision processing system, which relates to the technical field of radio frequency identification and comprises an encryption module, a signal processing module and a real-time processing module. The encryption module is used for realizing label identity verification based on a hash function; the signal processing module adopts a mixed anti-collision mechanism combining a time slot ALOHA protocol and a binary tree search algorithm; the real-time processing module comprises a multi-channel parallel processing unit, and each channel is configured with an independent local frequency. According to the RFID electronic tag anti-collision system, the encryption module, the signal processing module and the real-time processing module are combined, the problem of multi-tag collision of the RFID technology in a high-density and dynamic application scene is effectively solved, the encryption module adopts a hash function and an elliptic curve encryption algorithm, safe and efficient verification of tag identities is achieved, and the security and reliability of the RFID electronic tag are improved. The innovative hybrid anti-collision mechanism of the signal processing module is the combination of a slot ALOHA protocol and a binary tree search algorithm.

The invention discloses a method, a device, equipment and a medium for simulating migration of a proppant, and relates to the technical field of analogue simulation. Simulation is carried out through fluid dynamics and a discrete element analysis model, specifically, fluid parameters are obtained, a calculation model is constructed, and constraints are set; parameters are input for fluid and particle stress analysis, and particle displacement and grid updating are calculated; contact is judged through the particle collision sequence, boundary force is calculated, and the particle motion state is updated; and cyclically feeding back the flow field parameters to particle stress analysis until the number of iterations is met so as to obtain the void ratio, the flow velocity, the position and the momentum of the particles. According to the invention, the motion among particles can be captured and accurately calculated in a high-concentration particle flow or particle dominated collision system.

The invention discloses a bucket wheel anti-collision system and an anti-collision method, and relates to the technical field of bucket wheel anti-collision. The system comprises a data acquisition module used for acquiring operation data, environment data and historical collision data of the bucket wheel machine, the operation data comprises the position, the speed, the angle and the operation mode of the bucket wheel machine, and the environment data comprises a coal yard three-dimensional map, obstacle coordinates and meteorological data; the historical collision data comprises accident records and false alarm analysis. The state and environment of the bucket wheel machine are mastered in real time through high-precision positioning and multi-mode sensing, collision is effectively prevented in combination with intelligent graded alarm, and safety is remarkably improved. The risk is predicted through big data analysis and machine learning, the operation path is dynamically adjusted, operation is optimized, the maintenance cost is reduced, and the service life of equipment is prolonged. Meanwhile, the cloud monitoring and the mobile terminal APP support remote operation and real-time information pushing, the convenience and applicability of the system are enhanced, and the management efficiency is improved.

The invention relates to the technical field of underground coal mine auxiliary transportation, in particular to an underground coal mine tunnel environment anti-collision early warning method based on a laser radar, and the method comprises the following steps: obtaining point cloud data through the laser radar; motion compensation is carried out on the laser radar point cloud data by using IMU data; filtering out the carrier point cloud; a top plate height threshold value is set, and point clouds with higher heights are top plate point clouds and are filtered; filtering out the ground point cloud; filtering out the roadway wall point cloud; clustering the obstacle point clouds; and the information of the obstacles and the roadway wall is sent out, and anti-collision early warning is carried out. According to the invention, by filtering the point clouds of the carrier, the top plate, the noise points, the segmentation ground points, the roadway wall and the obstacles, the surrounding environment and obstacle conditions of the carrier can be accurately judged, the system can be directly applied underground, the problem that the existing anti-collision system for the coal mine roadway environment has many false alarms can be effectively solved, and the anti-collision efficiency is improved. And the poor body feeling of the driver caused by excessive false alarms is avoided.

The invention relates to the technical field of anti-collision systems, in particular to an offshore wind power construction safety pre-warning system based on AIS (automatic identification system) data, which comprises a ship dynamic uncertainty modeling module for acquiring AIS signal updating frequency and positioning precision marks of a target ship and generating a ship future position probability ellipse. According to the invention, the position coordinate, the speed value and the course angle of the ship are obtained in real time based on the AIS data, the reliability and the motion trend of ship position prediction are determined by combining the AIS signal updating frequency and the positioning precision mark, and the future position probability ellipse of the ship is accurately generated; a protection area is dynamically constructed, comprehensive calculation is carried out in combination with the spatial relation between a ship future position probability ellipse and the positions of surrounding fan pile foundations, and a hourly dynamic collision risk index sequence is obtained; and further according to the statistical deviation between the current motion state of the ship and the standard parameter of the function partition, combining with path difference analysis to obtain a navigation abnormity comprehensive index.

The invention discloses a cooperative low-altitude small and medium-sized unmanned aerial vehicle collision avoidance system, and the system comprises a flight path prediction module which is used for receiving the flight data of a local aircraft and the flight information of other targets in a low-altitude airspace, and predicting the flight paths of the local aircraft and other flight targets; the conflict detection module is used for receiving the flight path prediction information of the local machine and other targets sent by the flight path prediction module, receiving the local map information in the task data storage module at the same time, performing conflict judgment according to the prediction information and the map information, and sending a conflict judgment result to the planning anti-collision processing module; and the planning anti-collision processing module is used for receiving the conflict judgment result, if no conflict exists, task execution is carried out according to an original plan, and if the conflict exists, anti-collision planning processing is carried out and anti-collision planning is carried out. Operation rule support and safety guarantee are provided for low-altitude operation, and meanwhile the low-altitude airspace utilization rate is increased.

The utility model relates to an anti-collision system of a bucket wheel machine, which can improve the working efficiency of the bucket wheel machine and ensure safe and stable operation of equipment. The anti-collision system of the bucket wheel machine comprises a running posture sensing module, an obstacle detection module, a bucket wheel machine distance detection module and a controller, wherein the running posture sensing module, the obstacle detection module and the bucket wheel machine distance detection module are all in communication connection with the controller; the running attitude sensing module, the obstacle detection module and the bucket wheel machine distance detection module are respectively arranged in a preset area of a bucket wheel machine to be detected; and the controller is arranged in the control room.

An excavator has a lower frame with a blade movably mounted to the lower frame. The excavator also has dig components such as a boom, an arm, and an attachment. The positions of the dig components are identified and a control signal generator controls movement of the dig component to avoid a collision between the boom or attachment and the blade.

The embodiment of the invention provides a visual angle image synthesis method and device, equipment, a storage medium and a program product, and relates to the technical field of Internet of Things. The method comprises the following steps: receiving a detection image shot by a monocular camera, correcting the detection image based on camera parameters of the monocular camera, inputting the corrected detection image into a depth estimation network, and determining a three-dimensional point cloud corresponding to the detection image based on an output result of the depth estimation network; based on the three-dimensional point cloud, determining the position of an obstacle within the driving range of the field bridge cart; and determining a driving strategy of the yard crane cart based on the obstacle position, and controlling the driving state of the yard crane cart based on the driving strategy. The method provided by the invention effectively solves the problems of insufficient obstacle recognition capability and poorer anti-collision effect of the anti-collision system of the field bridge cart.

A system for collision avoidance by an autonomous vehicle (AV) is disclosed. The system includes a sensor system to detect objects in the AV's proximity. The system also includes a pedestrian trajectory prediction (PTP) system with an input module to receive sensor data, including heatmap prior information about past pedestrian trajectories. A memory module stores the data, and a probabilistic motion model (PMM) module uses a dynamic polar occupancy grid to represent the pedestrian's predicted trajectory. The PMM calculates occupancy probabilities based on angular motion (related to heading) and radial motion (related to speed). A processing module combines these probabilities to predict the pedestrian's future position. If an imminent collision is detected, the system generates a warning signal output to the AV's user interface. This system enhances collision avoidance by combining past data and real-time sensor data with probabilistic trajectory predictions.

Techniques are disclosed for reducing false positives for generating warnings to avoid potential collisions between a vehicle and vulnerable road users (VRUs). This is accomplished via an onboard vehicle safety system that uses crowd-sourced map data to determine whether a vehicle is capable of performing a maneuver that results in a lateral shift of the vehicle (which may include a lane-shifting or turning maneuver) within a predetermined threshold time period. The ability for the vehicle to make the turning maneuver, among other driving scenarios, may be used to by the safety system to intelligently determine whether a warning or other action is needed to avoid a potential collision with a VRU. In this way, the occurrence and number of false warnings / interventions are minimized or at least reduced, leading to more attentive drivers and thereby improving VRU safety.

The invention discloses a grab ship unloader man-machine anti-collision system and method based on the UWB technology, and the system comprises a UWB positioning unit which comprises UWB labels, a UWB base station and a UWB positioning server, the UWB labels are installed at the top of a cabin cleaning machine and safety helmets worn by personnel in a cabin, and send nanosecond pulse signals to the surroundings in real time; the PLC control unit comprises a PLC module and a switch, the PLC module receives real-time positioning data, transmitted by the UWB positioning unit, of the cabin cleaning machinery and personnel and then monitors the collision risk of the cabin cleaning machinery and personnel in the grab bucket descending process in real time, and the mechanism control unit comprises a lifting opening and closing frequency converter and a lifting opening and closing motor. And after receiving the lifting opening and closing control instruction transmitted by the PLC control unit, the lifting opening and closing frequency converter controls the operation action of the lifting opening and closing motor. The system eliminates the risk hidden danger that the grab bucket hits and touches the cabin cleaning machine, and improves the safety and reliability of bulk cargo wharf operation. According to the UWB technology-based man-machine anti-collision system of the grab ship unloader, the market core competitiveness of grab ship unloader products is greatly improved.

Systems and methods for detecting vehicle collisions are provided. The methods involve operating at least one processor to: receive telematics data originating from a telematics device installed in a vehicle, the telematics data including acceleration data; detect a putative collision event based on the acceleration data exceeding a predetermined acceleration threshold; identify a portion of the acceleration data associated with the putative collision event, the portion of the acceleration data spanning from a time prior to the putative collision event to a time subsequent to the putative collision event; identify at least one impulse in the portion of the acceleration data based on a predetermined jerk threshold; use a trained classifier on the at least one impulse to determine that the putative collision event is a collision event; and in response to determining the collision event, trigger at least one action responsive to the collision event.

The invention relates to the technical field of anti-collision of intelligent mobile robots, and discloses an anti-collision system of an intelligent mobile robot, which comprises a data acquisition module, an image processing module, a region analysis module, a reflection intensity calculation module and an intelligent avoidance module, the technical problems that in the prior art, when a reflecting surface obstacle such as glass and a mirror surface with high reflectivity exists, reflected signal interference exists, the reflecting surface is difficult to recognize, and consequently a system cannot accurately evaluate the influence of the reflecting surface on robot movement are solved. According to the invention, through multi-source data fusion, reflection surface feature extraction and reflection intensity calculation, the reflection surface and the influence of the reflection surface can be accurately identified in real time, so that collision between the robot and a reflection surface obstacle is effectively avoided. According to the invention, the anti-collision capability of the intelligent mobile robot is improved, and the safety of the robot in a complex environment, especially in a scene with more reflecting surfaces, is ensured.

The embodiment of the invention provides a bridge pier anti-collision system and a design method thereof, and relates to the technical field of bridge pier anti-collision, the bridge pier anti-collision system comprises at least one anti-collision pier and at least one ductile structure in one-to-one correspondence with the anti-collision piers, the anti-collision piers are arranged on one side face of a bridge pier at intervals, and the ductile structures are arranged on the anti-collision piers. Each ductile structure is arranged between the corresponding anti-collision pier and the corresponding bridge pier and connected with the anti-collision pier and the corresponding bridge pier. The ductile structure is arranged between the anti-collision pier and the bridge pier to serve as a force transmission component, the anti-collision pier, the ductile structure and the bridge pier are matched to form a bridge pier anti-collision system to jointly resist ship collision force, stress is basically constant after the ductile structure is yielded, and bearing capacity is not lost immediately; therefore, the maximum stress of the bridge pier during ship collision is kept within the preset range set according to the resistance of the body, the ship collision safety of the bridge pier is guaranteed, meanwhile, the resistance of the anti-collision pier is larger than the shared ship collision force, the ship collision safety of the anti-collision pier is guaranteed, the risk that the anti-collision pier is knocked down is reduced, and the service life of the anti-collision pier is prolonged.

The invention relates to a safety collision avoidance risk assessment method for a crane jib and electrified equipment, and belongs to the technical field of power construction. The method comprises the following steps: measuring electric field intensity by using an electric field sensor, and measuring and calculating a distance L1 from high-voltage live equipment to a test point; measuring and calculating the radial length L2 of the crane jib by using a pulse laser flight time measurement method; comparing the distance L1 from the electrified high-voltage equipment to the test point with the safety distance Ls1, and calculating a risk coefficient K1; comparing the radial length L2 of the crane jib with a safety threshold value Ls2, and calculating a risk coefficient K2; calculating a comprehensive risk coefficient Kave; and then the risk level is judged, and corresponding early warning is carried out. According to the invention, the problems of complex installation, high cost, poor compatibility and the like of a traditional anti-collision system are solved, the safety distance between the suspension arm and the electrified equipment in the hoisting operation can be evaluated in real time, the occurrence of collision accidents is effectively avoided, and the operation safety of an electric power construction site is guaranteed.

The invention relates to a modularized bridge pier anti-collision system which comprises an anti-collision device and an intelligent monitoring device, and the anti-collision device is an annular protection body formed by splicing a plurality of prefabricated anti-collision plates and fixed to the circumferential face of a bridge pier in a surrounding mode. The prefabricated anti-collision plate comprises a composite inner core formed by stacking a plurality of layers of honeycomb energy dissipation core plates, and the density of the honeycomb energy dissipation core plates is gradually increased from the outer side to the inner side. The intelligent monitoring device comprises a sensor array, a storage battery, a charging and discharging controller, a data processing module, a wireless communication module and a remote monitoring center. The sensor array is a force sensor embedded in the center of a polyurethane buffer gasket on the inner side of the prefabricated anti-collision plate. The detection method comprises the steps that when the pier is collided, the sensor array is triggered, data information is collected in real time, a data packet is sent to the remote monitoring center through the wireless communication module, and the collision position and the damage condition of the pier are automatically monitored. The structure is efficient in disassembly and assembly, convenient to maintain and high in anti-collision adaptability, full-life monitoring of the bridge pier is achieved, and the protection performance is improved.

The invention discloses a multi-source data fusion vehicle anti-collision system based on a 4D millimeter-wave radar, which is applied to the technical field of vehicle active safety, and comprises a 4D millimeter-wave radar detection module used for collecting 4D information of targets around a vehicle and distinguishing a pavement target from an air interference target; the vehicle state detection module is used for synchronously acquiring running parameters of the vehicle at the same acquisition rate as that of the radar detection module; the data fusion processing module is used for carrying out fusion and noise reduction processing on the 4D information and the running parameters of the vehicle on the basis of a fusion algorithm of Kalman filtering and a DS evidence theory; the collision risk estimation module is used for calculating the collision time and the collision probability based on the fusion data and constructing a two-parameter risk level judgment model based on the collision time and the collision probability; and the anti-collision execution module is used for executing a corresponding anti-collision intervention action according to the risk level. The accuracy, the stability and the adaptability of the vehicle anti-collision system are effectively improved.

The invention discloses a forklift graded anti-collision system control method. The method comprises the following steps that 1, the distance between an obstacle in a forklift safety inspection area and a forklift is obtained; 2, the anti-collision grade is judged according to the distance between the obstacle and the forklift, and the closer the distance is, the higher the anti-collision grade is; 3, forklift anti-collision control is triggered according to the anti-collision grade judged in the step 2, pedestrians and non-human obstacles around the forklift can be recognized by arranging the camera and the radar, and then the protection grade is judged according to the distances between the different obstacles and the forklift; according to different protection grades, an alarm can be given out, the forklift and people and objects around the forklift can be protected by controlling the forklift speed, and meanwhile normal running of the forklift is not affected.

The invention provides a 3D anti-collision detection method and system based on monocular vision, and the method comprises the steps: obtaining the image data of a front environment collected by a vehicle-mounted monocular camera in real time, and carrying out the preprocessing of the image data, and obtaining the standardized image data; generating an optimized absolute depth map by fusing a first depth estimation result and a second depth estimation result based on the standardized image data; detecting a 3D obstacle based on the optimized absolute depth map and scene semantic information to obtain related information of at least one target obstacle; and performing collision risk assessment according to the related information, and triggering early warning when the risk meets an early warning condition. The invention provides a high-precision and high-robustness monocular 3D anti-collision detection scheme, monocular depth estimation based on deep learning, semantic segmentation and a dynamic safety model are combined, and an end-to-end anti-collision system with physical significance is formed.

The invention relates to the technical field of safety protection of tower cranes, and discloses a system and a method capable of integrating various anti-collision systems to realize cooperative anti-collision of tower groups, and the system and the method comprise a cloud computing tower crane data sharing platform, a tower crane data sharing platform based on cloud computing is built to serve as a core hub of the whole group tower anti-collision system. According to the system and the method, in order to realize efficient cooperative collision prevention of group tower operation and improve the safety of tower crane operation, a cloud computing tower crane data sharing platform is established, data interaction is realized through a communication docking module, a data storage management module stores various data, and an intelligent analysis and early warning module analyzes the data and performs early warning. Through the links of system initialization, data acquisition and uploading, intelligent analysis and early warning, anti-collision measure execution feedback, system optimization and updating and the like, anti-collision systems of different brands are integrated, so that efficient cooperative anti-collision of group towers is achieved, and construction safety is guaranteed.

The invention discloses an electric bicycle collision prevention method and an electric bicycle, and the method comprises the steps: obtaining an acceleration sequence and an angular velocity sequence of the electric bicycle, generating a motion feature sequence through frequency domain analysis, and calculating a time sequence drift prediction index; performing grading processing on multi-sensor sampling data according to the time sequence drift prediction index to generate a to-be-corrected data sequence; performing time window segmentation on the to-be-corrected data sequence, generating a time sequence correlation matrix based on local features, and calculating an optimal time sequence mapping relation; performing nonlinear interpolation and time sequence remapping according to the time sequence correction parameter to obtain a corrected sensor data sequence; and extracting target features based on the corrected data sequence, calculating a collision risk level and generating an early warning signal. According to the technical scheme, the problem of inconsistent time sequence of multi-sensor data of the electric bicycle can be solved, the influence of data drift on obstacle position prediction is reduced, and the reliability of an anti-collision system in a high-dynamic scene is guaranteed.

The invention discloses an anti-collision early warning method and an anti-collision system suitable for a forklift operation vehicle, belongs to the technical field of anti-collision, and particularly relates to anti-collision of the forklift operation vehicle. The problems that an existing forklift anti-collision system cannot deal with flexible obstacles, is prone to being interfered by severe weather and environments, cannot adapt to all-weather working environments, needs additional RFID tags or special equipment and is low in universality are solved. The system comprises an information acquisition module, a central control system, a sound-light alarm device and an execution control system. The AI camera submodule comprises a detection unit and a deep learning unit. The anti-collision early warning method and the anti-collision system suitable for the forklift operation vehicle are suitable for reducing the accident rate during operation of the special vehicle and improving the operation efficiency of the forklift when the special vehicle, especially the forklift executes tasks of loading, unloading, stacking, carrying and the like, so that the special vehicle can adapt to the all-weather working environment.

Systems, methods, models, and training for collision detection and near miss detection are discussed. Models are trained to identify collisions and near misses between two vehicles, based on how quickly a bounding box size changes for a vehicle represented in image data. Rapidly changing bounding box size is indicative of extreme proximity between vehicles, and thus indicative of collision or near-miss scenarios. Identifications of collisions or near misses can be reported to a remote operator, to send emergency assistance, perform driver evaluation, or alert other drivers in the area of risks.

The invention discloses an intelligent driving static anti-collision system for a tower crane. The intelligent driving static anti-collision system comprises an environment scanning module, a three-dimensional modeling module, a model simplification module, a distance calculation module and a collision control module. The environment scanning module obtains obstacle space information, the three-dimensional modeling module constructs a height section stacked 3D model, the model simplification module selects a corresponding height section and marks a key collision point, and the distance calculation module calculates the shortest distance between a lifting hook and a line segment through point selection. And the collision control module realizes early warning and prevention and control according to a comparison result of the distance and a limit value, can process non-arc and arc graphs, supports prejudgment of a collision trend in a static state, is suitable for limited height and three-dimensional complex building scenes, and improves the operation safety of the tower crane.

The invention discloses an active and passive combined flexible bridge anti-collision system, and the system comprises a ship trajectory prediction subsystem which is used for collecting the navigation image data of a marine target ship through a monitoring anti-collision platform, and achieving the detection and tracking of the navigation target ship based on a constructed cascade neural network; the active early warning subsystem is used for confirming the predicted channel number of the current ship according to the estimated ship motion state output by the target tracking network, and obtaining the first collision probability of the target ship and the bridge pier corresponding to the predicted channel number; based on the first collision probability and a collision probability threshold, determining a position number of a bridge pier with a collision risk; an early warning signal containing the position number is sent to the target ship through the monitoring anti-collision platform; the track movement positioning auxiliary subsystem is used for driving the monitoring anti-collision platform to a warning positioning position according to the position number, obtaining a second collision probability of the target ship and the corresponding collision pier through the ship track prediction subsystem and the active early warning subsystem when the monitoring anti-collision platform is located at the warning positioning position, and sending the second collision probability to the active early warning subsystem; and when the second collision probability exceeds a collision probability threshold value, an anti-collision starting signal is sent to the passive flexible anti-collision subsystem. The problems that an existing single anti-collision mode is prone to errors, dangerous accidents are caused, and the universality of early warning cannot be reflected are solved.

The invention relates to the technical field of multiple ship unloaders, in particular to an anti-collision system for combined operation of multiple ship unloaders, which comprises radar anti-collision modules arranged on a first walking mechanism, a first platform, a second walking mechanism and a second platform and used for detecting the distance from other objects in real time to obtain first detection data, the RFID tags are arranged on the screw ship unloader and the grab ship unloader, the radio frequency positioning units are arranged on the first walking mechanism and the second walking mechanism and used for establishing a unified coordinate system relative to a wharf and obtaining positioning data, and the PLC control module generates a control instruction according to a judgment result. Through cooperation of the radar anti-collision module and the RFID radio frequency positioning module, real-time detection and high-precision positioning of multiple ship unloaders are achieved, and the problems of blind areas and insufficient precision of a single sensor are solved. The system can monitor the operation environment in all directions, recognize the collision risk in advance and send out an early warning or control instruction, multi-machine collaborative operation safety is guaranteed, and equipment damage and shutdown loss are effectively reduced.

Systems and methods for detecting vehicle collisions are provided. The methods involve operating at least one processor to: receive telematics data originating from a telematics device installed in a vehicle, the telematics data including acceleration data; detect a putative collision event based on the acceleration data exceeding a predetermined acceleration threshold; identify a portion of the acceleration data associated with the putative collision event, the portion of the acceleration data spanning from a time prior to the putative collision event to a time subsequent to the putative collision event; identify at least one impulse in the portion of the acceleration data based on a predetermined jerk threshold; use a trained classifier on the at least one impulse to determine that the putative collision event is a collision event; and in response to determining the collision event, trigger at least one action responsive to the collision event.