272 results about "Collision system" patented technology

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 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 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.

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.

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 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 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.

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 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.

The invention discloses an intelligent tower crane anti-collision system and method in the technical field of tower crane construction, the intelligent tower crane anti-collision system comprises a sensing module, the sensing module is installed on a lifting hook component of a tower crane, and the sensing module detects distance information with a lifted object; and the control module is electrically connected with the sensing module. The distance information and the median distance information are virtually simulated into three-dimensional virtual anti-collision area information through the simulation module, and the three-dimensional virtual anti-collision area information can comprehensively simulate a rotation area of a lifted object in the lifting process; the information of the plurality of three-dimensional virtual anti-collision areas is coupled through the data processing module to obtain a final anti-collision area, and the final anti-collision area is taken as a collision prevention reference, so that collision among different articles can be comprehensively prevented when the plurality of tower cranes are used for hoisting the different articles; according to the system, corresponding virtual final anti-collision areas can be formed according to different corresponding objects.

Disclosed are techniques for selective and scalable sensor fusion for autonomous emergency braking (AEB). In an aspect, an AEB system on a vehicle dynamically selects one or more vehicle sensors from a plurality of vehicle sensors and / or dynamically scales an output from each of the dynamically selected one or more vehicle sensors based on one or more factors, such as the condition of the vehicle, weather, road, or traffic, a location of the vehicle, a sensor capability, a required sensing accuracy, etc., or a change of any of the above. The AEB system monitors a forward path of travel of the vehicle for potential collisions, based on data comprising the output from the one or more vehicle sensors. If a potential collision is detected, the AEB system autonomously applies vehicle brakes to avoid the potential collision. The AEB system can use data and location fingerprinting to reduce false positives.

The invention discloses an anti-collision system automatic tester based on radio frequency channel switching and a testing method thereof, an interface processing extension set is connected with tested equipment in a wireless communication mode and is used for receiving signals of the tested equipment, and the problems that in a traditional testing mode, the operation process is complex, and errors are prone to occurring are solved. The interface processing extension set is connected with the industrial control computer, the TCAS tester and the ATC / DME tester and is used for receiving radio signal data and realizing automatic processing and analysis of the data; measurement and control software is arranged in the industrial control computer and used for regulating and controlling the TCAS tester, the ATC / DME tester, the frequency spectrograph, the oscilloscope and the interface processing extension set according to signals of tested equipment and radio signal data, an automatic testing process is achieved, and therefore the problems that in a traditional testing mode, testing time is long, and efficiency is low are solved. The test efficiency of the TCAS airborne collision avoidance system UUT equipment is improved, the labor cost is reduced, and the flight safety is ensured.

An anti-collision system for a storage area comprises at least one emitter device (2), at least one receiver device (3), a signaller device and a control unit. The emitter device (2) can be coupled to a forklift (C) movable within the storage area and is configured to emit an optical signal. The receiver device (3) is installable at a ceiling of the storage area and 5 is configured to monitor at least one transit zone (Z) of the storage area so as to acquire the optical signals (O) emitted therein. The control unit is configured to activate the signaller device as a function of the optical signals (O) acquired so as to generate an alert signal.

The invention relates to the technical field of intelligent protection, and discloses a metal plate stamping anti-collision system based on force feedback, which comprises a data acquisition module, a data processing module, a feature extraction module, a collision risk prediction module, a dynamic anti-collision control module and a real-time anti-collision intervention module, force signal data in the stamping process is obtained; performing noise cleaning on the force signal data to obtain a clean force signal in the stamping process; extracting a time domain feature and a frequency domain feature in the clean power signal to obtain a time domain feature vector and a frequency domain feature vector in the stamping process; performing collision risk prediction on the stamping process based on the time domain feature vector and the frequency domain feature vector to obtain a collision risk level of the stamping process; dynamically generating an anti-collision control instruction of the stamping equipment according to the collision risk grade; the stamping process is intervened in real time based on the anti-collision control instruction; according to the invention, the efficiency of production operation, quality control, mold maintenance and automation level can be improved.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

A multi-sensor integrated intelligent tool holder real-time monitoring and anti-collision system, comprising: an intelligent tool holder device, an external PLC controller, a built-in relay, a numerical control machine tool and a PC signal processing and display module; the intelligent tool holder device comprises: a handle cone structure, a force sensor structure, a resistance strain gauge group, a protective shell, a plurality of supporting copper columns, a first hardware circuit board, a second hardware circuit board, a vibration sensor, a lithium battery, a fixed upper shell, a fixed bottom shell, a draw stud, a clasp spring, a compression cap and an end mill. The application is based on the collected cutting signals for real-time analysis and rapid judgment and response, is not affected by the machining environment and the shape and size of the workpiece, is accurate in measurement, greatly reduces the influence of the external sensor arrangement distance on the cutting data accuracy, and is suitable for the monitoring of cutting force and vibration and the anti-collision monitoring link in the part machining process, and improves the cutting automation, intelligence and safety level.

The application relates to a collision-preventing device for a cargo elevator, which is installed at an elevator entrance of a floor where a forklift truck enters and exits, and comprises a first TOF sensor, which is installed on a wall above a layer door of the floor where the forklift truck enters and exits, and is used for measuring the position and deviation angle of the forklift truck; a second TOF sensor, which is installed at the top end of a car, and is used for measuring the position of the forklift truck in the car and the horizontal position of the most protruding part at the front end of the forklift truck; an elevator inner wall collision-preventing fence, which is installed on the inner wall of the car and can be controlled to move up and down; a gate device, which is installed in front of the layer door of the floor where the forklift truck enters and exits, and is composed of a blocking rod and a lifting rod device; and an AI camera, which is installed on the wall of the floor where the forklift truck enters and exits, and is used for shooting the face of a forklift truck driver. The application not only improves the operation safety, but also effectively prevents collision accidents, simultaneously realizes intelligent management and optimized scheduling, and significantly improves the logistics transportation efficiency and safety.

The utility model discloses a road roller contact type anti-collision system which comprises two mounting bases, a mounting bracket is fixedly mounted at the upper ends of the two mounting bases, a travel switch is fixedly mounted on the inner wall of each mounting bracket, and the travel switches are fixedly mounted on the mounting brackets. A tensioning device is fixedly installed on the back face of each of the two installation supports, a safety protection plate is fixedly installed on the outer surfaces of the two tensioning devices through a connecting rod, and a travel switch is connected with an emergency stop switch through a signal line. And the safety is poor. According to the technical scheme, the contact type anti-collision system of the road roller is provided. The anti-collision device, namely the safety protection plate, is arranged in front of the road roller, so that emergency braking and automatic flameout operation of the road roller are finally achieved, collision accidents are effectively avoided, and the active safety of the road roller in a complex construction environment is greatly improved.

The present application provides a kind of unmanned aerial vehicle impact system and impact control method, the impact system includes mobile computer, data link ground terminal, remote controller and unmanned aerial vehicle flight device;Mobile computer is configured to display unmanned aerial vehicle situation and photoelectric image, while used to send instruction to unmanned aerial vehicle flight device;Remote controller is configured to carry out flight remote control to unmanned aerial vehicle flight device;Onboard computer on unmanned aerial vehicle flight device is configured to run combined navigation algorithm, give the position, attitude and heading information of unmanned aerial vehicle flight device, realize the navigation, guidance and control of unmanned aerial vehicle flight device;Photoelectric module on unmanned aerial vehicle flight device is configured to real-time investigation and identify target;Communication between mobile computer and unmanned aerial vehicle flight device realizes information interaction;The scheme provided by the present application can realize the control of unmanned aerial vehicle flight device, and impact target through remote control, improve impact response speed, reduce impact cost.

The utility model discloses a control circuit of an AI image anti-collision system, and belongs to the field of anti-collision of engineering trucks. Comprising a main control module; the video monitoring module is used for monitoring whether an obstacle exists in a blind area of the vehicle; the speed measuring module is used for measuring the speed of the vehicle; the speed control module is used for controlling the speed of the vehicle; the video monitoring module, the measurement module and the speed control module are connected with the master control module. Compared with the prior art, the system has the beneficial effects that the master control module, the video monitoring module and the speed measuring module are matched, and the master control module can monitor a blind area of a vehicle in real time through the video monitoring module, measure the speed of the vehicle in real time in cooperation with the speed measuring module, intelligently recognize people and obstacles in the blind area, and monitor the blind area of the vehicle in real time; and the speed is automatically reduced through the speed control module, so that accidents are prevented, and AI image intelligent collision avoidance of the vehicle is realized.

Title: Anti-collision system for a mobile device. The invention relates to an anti-collision system (1) for an autonomous mobile device (D) configured to move in three dimensions. The system comprises an onboard memory (10) configured to save an optimal trajectory (Topt) to reach a destination position, a detection system (20) configured to detect the presence and position of intruding mobile devices (D'1, D'2, … D'i, …, D'N) within a detection zone (100) around the mobile device (D), and a control system (30) configured to impose a modified trajectory (T') on the mobile device (D) to reach the destination position. The modified trajectory is a function of the optimal trajectory and the position of each intruding mobile device at each time t during the movement. Figure for the abstract: Fig. 7