416 results about "Safety zone" patented technology

The invention relates to a safe starting control method, device, equipment and medium for a bootstrap drive inverter, and the method comprises the steps: obtaining a detection voltage representing an output filter inductance voltage after responding to any starting event and before formally transmitting a drive signal; comparing the negative voltage with a preset negative voltage safety threshold value; only when the detected voltage is higher than the safety threshold, a driving enable signal is generated to allow the inverter to be normally started; otherwise, generating a driving blocking signal, carrying out detection and judgment again after waiting for preset time delay, and circulating the process until the system state enters the safe area; the method is realized by modifying a control algorithm, no power hardware needs to be added, the starting impact risk is eliminated with low cost, and the contradiction between the hardware limitation of a bootstrap drive circuit and the negative residual voltage possibly existing on the output inductance of the inverter is solved; therefore, the safety problem of direct connection between the impact current and the bridge arm during starting in an unfavorable initial state is solved.

The invention discloses a simulator supporting multiple debugging permissions. According to the embodiment of the invention, the simulator supporting multiple debugging permissions comprises a simulator management module which comprises a configuration unit, and the configuration unit is used for configuring the debugging permissions; a storage unit of the simulator hardware module is divided into a safe area and a non-safe area; the security area is used for storing security data, the non-security area is used for storing non-security data, and the debugging permission comprises a security mode and a limited mode; in the security mode, allowing access to the security area and the non-security area; and in the limited mode, the access to the safe area is prohibited, and the access to the non-safe area is allowed. According to the emulator supporting the multiple debugging permissions, debugging requirements of different security levels can be effectively distinguished, and flexible access control is provided for development and maintenance while data security is guaranteed.

According to the motion planning method and device for the multi-mechanical-arm cooperative task, a large number of potential conflicts are actively avoided in the early stage of task allocation through division of a virtual wall and a safety area and a danger area, the difficulty and the calculated amount of follow-up track collaboration are remarkably reduced, and the success rate and the efficiency of planning are improved. Cost and load balance are considered in the task allocation stage; in the path point sorting stage, minimizing the total movement distance and the total completion time is taken as a target; and track generation adopts a time optimal algorithm. The layered decoupling design avoids the huge calculation overhead of centralized planning, and meanwhile, the quality of a final solution is ensured through the optimization strategy of each stage. The innovative cost function takes collision distance into consideration, and guides the planner to select a safer path. Through layered and ordered collision solution strategies, such as deceleration, local re-planning and optimal waiting, it is ensured that a collision-free solution can be always found in a complex dynamic environment, and robustness is high.

The invention relates to the technical field of intelligent security and protection, and discloses an intelligent security and protection alarm method and system based on an intelligent park. The method comprises the following steps: acquiring original security and protection data by using sensing equipment arranged in a smart park; performing standardization and redundancy elimination processing on the original security and protection data, dividing safety areas of the park through a pattern recognition algorithm, calculating a load intensity index of each area, and generating a security and protection situation summary; according to the security situation summary, a heuristic search algorithm is adopted to determine alarm trigger parameter initial values including detection sensitivity and alarm intervals, and a basic alarm parameter group is generated; performing nonlinear correction on the basic alarm parameter group, and outputting an environment perception alarm parameter group; training the historical security data set by adopting a neural network model, and analyzing the interaction between the load and the threat to obtain a threat diffusion model; and comparing the threat diffusion model with the real-time security data points, performing difference measurement, reconstructing alarm trigger logic according to a measurement result, and completing autonomous regulation and control of security and protection of the smart park.

The invention discloses an under-mine environment accurate positioning system based on a UWB technology, and relates to the technical field of data processing and positioning, an underground area is divided into a safe area and a dangerous area by obtaining the structure risk value of each sub-area and combining the structure risk value and the position information of the corresponding sub-area, and the safe area and the dangerous area are accurately positioned. A plurality of rescue robots are arranged in the underground area; acquiring position information of the mobile tag, displaying the position information on an electronic map, generating an air quality coefficient, and dividing the plurality of sub-regions into risk regions and safety regions according to the air quality coefficient; and sending inquiry information to the miner, acquiring a corresponding safety coefficient, and if the acquired safety coefficient is lower than a safety threshold value, planning a support path to the miner for the rescue robot, so that the rescue robot rescues the miner along the support path. After the miner is found according to the position information of the miner, the miner is rescued through guidance of the rescue robot, and the miner is prevented from getting lost and being lost.

The invention relates to the technical field of environment monitoring, in particular to an environment parameter real-time early warning method and system for a digital chicken house, and the method comprises the following steps: collecting ammonia gas concentration, temperature and humidity and illumination intensity data in a chicken house, uniformly integrating and generating a monitoring record, extracting a safety interval, counting the exposure time of ammonia gas, and judging a multi-factor deviation state; and carrying out conjoint analysis on environment distribution change, and outputting a risk state and early warning information. According to the method, multi-source environment data are integrated through a unified time reference, the time sequence consistency among parameters is improved, the identification capability of low-concentration long-term exposure is enhanced by screening an ammonia gas safety interval and counting the exposure duration, and a multi-factor time sequence offset feature is constructed by collecting the deviation state of temperature and humidity and illumination intensity; the conjoint analysis of exposure and deviation distribution is combined, the continuity and accuracy of environmental risk judgment are improved, high-risk time periods and monitoring data thereof are extracted, and the positioning and response efficiency of abnormal states is enhanced.

The invention discloses an intelligent monitoring and early warning method and system for a dangerous large project on a building construction site, and the method comprises the steps: carrying out the fusion processing of multi-source data, such as displacement, inclination and axial force, collected by edge Internet of Things equipment, extracting the characteristics of structural deformation and load change, and constructing a comprehensive situation representation; a high-risk area and a safety area of a construction site are identified by adopting clustering analysis, a spatial proximity relationship between the areas is established, a risk coupling degree is calculated, and a differentiated monitoring strategy is delimited according to the spatial proximity relationship; performing time sequence density analysis on the abnormal event data, fitting a risk evolution curve, positioning a situation mutation node, and establishing association mapping of construction conditions and risk steps; according to the method, a transmission path is tracked based on a risk attenuation rule, a preliminary early warning sequence is generated, an early warning trigger threshold value is determined through adaptive grading and boundary matching, a graded early warning instruction is output after gradient verification, and timely and accurate early warning information can be provided for safety management and control of dangerous engineering.

The invention relates to a robot dog dynamic balance and fall self-recovery method and device for a complex terrain, and the method comprises the steps: building a robust local elevation map through fusing multi-sensor data and quantifying the motion uncertainty of a robot; and a safe foot region set defined by the convex polygon is extracted through geometric feature analysis and plane segmentation. Then, collaborative planning of the trunk and the landing point is carried out in combination with a user instruction and the region set. In a control layer, a nonlinear model predictive control algorithm is adopted, a safety area is used as a hard constraint, and incomplete speed constraint is applied to a wheel type foot end, so that an optimized trunk track and a foot end force reference are output. The whole-body controller converts an upper-layer instruction into an accurate joint torque through a multi-task optimization framework with a weight. When instability is detected, the system can autonomously plan and execute a recovery action sequence including curling, controllable rolling and cooperative supporting.

The invention discloses a nuclear magnetism safety interval confirmation device, and the device comprises a quantum noise suppression module which is used for eliminating radar signal noise caused by the quantum tunneling effect on the surface of a metal object in an ultrahigh field intensity environment; the multi-sensor fusion center is used for integrating the radar cleaning signal, the real-time magnetic field intensity data and the terahertz penetrability detection result to generate fused object position information; the dynamic magnetic field reconstruction engine is used for calculating a magnetic field distortion gradient by analyzing Hall sensor array data and a magnetohydrodynamic model in real time; the nonlinear danger scoring module is used for receiving object distance, magnetic field gradient, existence time and object classification data; the hierarchical response system is used for triggering a corresponding response according to the danger score; and the cesium atomic clock synchronization module is used for eliminating a timing error caused by a time crystal effect through a block chain timestamp verification mechanism. According to the invention, risk closed-loop control in a high-field-intensity MRI environment is truly realized.

The invention relates to the technical field of ship offset early warning, and provides a ship offset early warning method for a deep-sea mining in-situ pilot production system, which can solve the problem that the existing mother ship offset monitoring mode is too simple, improve the accuracy of judging the position of a ship body and perform effective early warning. Comprising the following steps: S100, establishing an information transmission network and carrying out data acquisition; s200, carrying out coordinate conversion on the collected real-time longitude and latitude information of the ship and the vehicle, and calculating a relative distance between the ship and the vehicle; s300, calculating a ship offset area of the mining system, calculating an allowable offset of a mining ship relative to a mining vehicle, dividing operation states according to the offset, and determining a reasonable ship offset area map; and S400, the ship deviation safety early warning area is built in a system early warning program, monitoring data are read at regular time, monitoring information such as environment monitoring information, ship-vehicle distance and the like and umbilical cable length monitoring information are read in real time, and the ship deviation state is judged in real time according to the ship deviation safety area.

The invention provides a head-eye posture fused driver state grading intervention method and system, and the method comprises the steps: dividing a fixation region which comprises a safety region, an alarm region and a dangerous region based on an in-vehicle three-dimensional coordinate system; calculating an initial line-of-sight vector according to the driver face key points, obtaining a final line-of-sight vector by combining line-of-sight deviation angle correction, and obtaining a fixation point coordinate based on the eye point coordinate and the final line-of-sight vector; based on fixation point coordinates and fixation area matching, the driver fixation area category is judged; and acquiring the current vehicle speed and the fixation duration in the fixation area, inputting the current vehicle speed and the fixation duration into a pre-trained decision model to obtain a graded intervention strategy, and executing an intervention action according to the strategy. The accuracy of the fixation point position is ensured through fusion of the head posture and the sight line deviation; a grading intervention strategy is obtained by combining the fixation point position, the fixation duration and the vehicle speed, interference to normal driving is reduced, effective early warning can be achieved in the risk accumulation stage, and the method has adaptability to complex vehicle use scenes.

The present application relates to the technical field of intelligent city infrastructure safety monitoring, and discloses a real-time response system for safety events of intelligent pedestrian tiles. The system comprises a real-time state monitoring module, a dynamic event detection module, a multi-dimensional event difference analysis module, a safety area correlation positioning module and a self-adaptive response generation module. The sensor array collects tile pressure distribution, surface humidity and temperature fluctuation data, and combines historical event data to construct a dynamic prediction model to output potential safety event probability values. A multi-dimensional difference analysis generates an event-level difference feature matrix, and a spatial topology network and environmental parameters are used to generate a safety event heat distribution map and locate high-risk areas. Finally, response parameters are adaptively configured. The system realizes real-time sensing, accurate positioning and dynamic response of safety events in urban pedestrian areas.

If an overlap of two or more extended reality (XR) safe play areas, associated with active XR devices (e.g., VR devices) operating in a physical space is detected, then a combined safe area is determined based on the first and second safe areas. A configured first XR safe area is generated. A virtual partition may demarcate the separation between the safe areas. The virtual partition may include a buffer zone that separates the reconfigured first safe area from the reconfigured second safe area. An errant XR device may be guided back to its safe area.

A method or system for adaptive vehicle spacing, including determining a current state of a vehicle based on sensor data captured by sensors of the vehicle; for each possible action in a set of possible actions: predicting, based on the current vehicle state a first zone future safety value corresponding to a first safety zone of the vehicle; and selecting, based on the first zone future safety values for each of the possible actions in the set, a vehicle action.

The invention provides a bracelet anti-lost fence construction method and system for old people for cognitive impairment, and the method comprises the steps: collecting the geographic information data of a daily activity region of the old people, covering the coordinates of a frequently-going place and an activity path coordinate sequence, carrying out the feature extraction of the activity region, generating a boundary coordinate set of a basic safety region, and carrying out the construction of a bracelet anti-lost fence for the old people; adjusting the boundary in combination with the health condition and travel habit feature data of the elderly to obtain an initial anti-lost fence boundary coordinate set, dynamically updating the boundary according to the external environment feature change data, and finally establishing a real-time data interaction link with the bracelet; and the bracelet generates a prompt signal and sends the prompt signal to the guardian terminal equipment, so that the pertinence, practicability and reliability of the anti-lost fence are improved, and the risk that the old with cognitive impairment gets lost is effectively reduced.

A video analytic worker safety monitoring system includes at least one video camera having a field of view including a defined safety zone in a workplace, the defined safety zone including or being proximate to a workplace hazard such as an electrical hazard, a machine hazard, or a medical procedure hazard. An image processor receives a video feed from the at least one camera, wherein the image processor is configured to, based on image analysis of the received video feed, detect worker safety deficiency events.

The invention discloses a large-diameter drilling tool clamping and shackling device and an automatic drilling rod assembling and disassembling control method. The large-diameter drilling tool clamping and shackling device comprises a drilling tool clamping and shackling device body, a rod adding mechanical arm and a transfer table. During drilling, the mechanical arm grabs the drill rod from the transfer table, and after the drill rod is positioned through the rear clamping device, the power head completes automatic buckling of the driving drill rod, the drill rod and the drill rod in a hole in two stages according to a preset self-adaptive buckling algorithm; during shackling, the swing oil cylinder drives the front clamp holder to rotate anticlockwise to pre-loosen threads, the power head rotates reversely while the front clamp holder clamps, and automatic shackling between the power head and the drill rod in the hole is achieved according to a preset self-adaptive shackling algorithm. According to the invention, through cooperative movement control of the double holders, matching with the rotating speed of the power head and the feeding / pulling speed, accurate butt joint of drill rod threads is ensured, and manual intervention is not needed in the whole process; the time consumed for connecting and dismounting the drill rod is effectively reduced, the operation distance of workers is prolonged to a safe area outside 2 meters, labor intensity and accident risks are remarkably reduced, and technical guarantee is provided for safe operation of the drilling machine under complex geological conditions.

The invention relates to the technical field of wafers, in particular to a multi-track wafer carrying manipulator and a control method.The multi-track wafer carrying manipulator adopts a mechanical arm assembly and an end effector to execute actions, and the mechanical arm assembly comprises three execution arms which are rotationally connected in sequence; the end effector is installed at the tail end of the execution arm farthest from the base. The method comprises the following steps that S1, a safety area is set, so that the multiple execution arms are located in the safety area all the time in the movement process; s2, gradually iterating the coordinates of each point from the boundary to the center in the safe area, and generating a safe link; s3, in one safety link, the end effector always faces the site position, the center of the end effector is made to move along the safety link, and the angles a, b and c between the adjacent execution arms of each point and the angle d between the execution arms and the end effector are calculated; s4, performing traversal optimization on the distance C in the step S3, and finding an optimal C value; and S5, obtaining the optimal time according to the optimal C value.

The invention discloses an electronic fence dynamic generation method and system for a construction site safety area, and relates to the technical field of intelligent construction site safety management, and the method comprises the steps: a system calculates a reference safety distance value based on the topographic data of a construction site and the coordinates of real-time operation equipment; the fence offset is dynamically calculated in combination with operation equipment parameters, and real-time data flow of an environment sensor is accessed; the offset and the environment data are fused, and multi-dimensional calibration is completed through environment influence factor correction calculation; generating a dynamic electronic fence with a gradient alarm function according to the calibrated safety boundary, and mapping the dynamic electronic fence to a digital map of a monitoring platform; and fence data are distributed to a terminal alarm device through an Internet of Things communication protocol, so that closed-loop safety management is realized. According to the invention, the accuracy and real-time performance of construction site safety management can be effectively improved, the accident rate is reduced, and the safety level of construction site operation is remarkably improved.

The invention belongs to the technical field of semiconductor manufacturing safety control, and particularly relates to a collision detection method and system for a wafer transfer robot, and the method comprises the steps: receiving a joint angle sequence and height coordinates outputted by a robot trajectory planning module; cartesian coordinates of all nodes of the mechanical arm are calculated through a forward kinematics solver; preferentially checking whether the node is located in a predefined safety area or not by utilizing a point area judgment and line segment area detection algorithm; performing regionalized wafer collision detection on the wafer outside the safe region; if the wafer collision does not occur, constructing an oriented bounding box (OBB) for the risk connecting rod; detecting whether the vertex of the OBB crosses a boundary or not, and performing line segment intersection detection on each edge of the OBB and a chamber boundary line segment of a corresponding area; and finally outputting a collision judgment result, and deciding whether to execute motion or not by a robot control system. According to the invention, efficient and accurate collision detection is realized through a multi-stage detection mechanism and highly adaptive section selection, and the method has the advantages of high real-time performance, low cost, easy integration and the like.

The invention provides a mobile robot and an operation method of the mobile robot. The mobile robot includes: a projector disposed on one side of the mobile robot to project visual information; and a control unit configured to control the projector so as to project the visual information to the outside. In a mobile robot, a control unit controls a projector in such a manner that first visual information for marking a safe area is projected onto a ground surface in the vicinity of the mobile robot while the mobile robot travels, a safe area change is determined on the basis of at least one change in a traveling state or a surrounding situation of the mobile robot, the projector is then controlled in such a manner that at least one of a size, a shape, or a color of the first visual information is changed, and the resulting first visual information is projected.

The invention discloses an ecological threshold extraction and monitoring early warning method and system based on multi-source data, and relates to the technical field of environment monitoring. The ecological threshold extraction and monitoring early warning method and system based on the multi-source data comprises the following steps: S1, collecting a multi-source data set and performing normalization processing, and identifying an ecological health steady state to form a historical health sample; s2, constructing a three-dimensional aquifer by using a historical healthy sample, and simulating a flow field to divide risk levels; s3, obtaining an ecological sensitive area threshold value based on the multi-source data set and the risk level, and carrying out early warning response; s4, performing early warning treatment according to the divided water resource safety area, establishing a three-dimensional hydrogeological model, and dynamically correcting a water level threshold value; and S5, performing comprehensive evaluation based on the corrected dynamic threshold, executing measures and generating a report closed loop. According to the invention, the accuracy of ecological threshold extraction, monitoring early warning and water resource management is effectively improved, and the problems of false steady state misjudgment and early warning misjudgment and missed judgment of underground water monitoring in the prior art are solved.

A material handling lift including: a mast; a platform coupled to the mast; and a power unit configured to drive the platform along the mast to a raised position and lower the platform to a lowered position. The platform may pivot relative to the mast when it is raised to the raised position to retain a cart on the platform by force of gravity. The mast may be coupled to the platform with a non-zero angle between the front of the mast and a rear of the platform. Optical sensors may dynamically establish raised and lowered safety zones around the platform.

The application discloses a three-layer path planning method for fine inspection of an unmanned aerial vehicle, and relates to the technical field of path planning.The nearest detection distance of a three-layer safety zone is determined according to an inspection object; the unmanned aerial vehicle carries an optoelectronic pod and ascends from a starting point, a main flight path is generated based on the first-layer safety inspection zone by using an A-star algorithm, first-layer fine inspection is performed, a millimeter-level three-dimensional point cloud model is constructed by using the optoelectronic pod to take real-time photos and by using LiDAR and oblique photography, and windows, decorative structures and defect areas are recognized by using deep learning to serve as a first result; after defects are found, a second-layer route is planned by using the A-star algorithm, and a second result is compared with the first result; if the first result is consistent with the second result, the main route is returned, otherwise, a third-layer safety zone is entered to plan a route again and obtain a final result; after completion, the main route is returned to continue the next cycle of inspection; the method provided by the application can increase the reliability of the inspection result, and can reduce the time consumption and safety hazards of close-range flight.

The application discloses a path optimization method and device and intelligent driving equipment, and relates to the technical field of automatic driving. The path optimization method comprises the following steps: acquiring an initial path, motion state information and obstacle information of a vehicle. According to the motion state information, a bounding box of each path point of the initial path is constructed, and a plurality of bounding boxes form a safety area of the vehicle. Based on the safety area and the obstacle information, a reference point of an obstacle is calculated. A multi-objective optimization function including a smoothing cost item, a path keeping cost item and an obstacle guiding cost item is constructed. A plurality of constraint conditions are constructed, and the plurality of constraint conditions include a position constraint, a starting point constraint, an end point constraint and a curvature constraint. The multi-objective optimization function and the plurality of constraint conditions are input into a nonlinear solver for solving, and an optimized path is output. The safety, smoothness and robustness in a complex environment are realized.

An operational safety region generation method, comprising: generating an initial safety region on the basis of an operational plot and takeoff / landing position information of an unmanned device (S110); determining an editable boundary line of the initial safety region (10) (S120); receiving an editing operation for the editable boundary line, and adjusting the editable boundary line on the basis of the editing operation (S130); and generating a target safety region on the basis of the adjusted editable boundary line (S140). By means of the method, an editable boundary line can be determined in a preliminarily planned safety region, and a user edits the editable boundary line such that the adjusted safety region does not contain obstacles and retains part of the region in which an unmanned device can fly, thereby ensuring that a safe and efficient flight route is directly planned within the adjusted safety region, and meeting the efficient-operation requirements of the unmanned device.

The invention relates to a method for monitoring a safe area, which is used for solving the problem that a method in the prior art is easy to misjudge that an obstacle invades the safe area. A processing module executes the following steps: generating a predetermined path on the periphery of an image of a driving target, and defining a continuous area not belonging to the obstacle from a predetermined range extending from the predetermined path so as to generate a correction area; wherein under the condition that the obstacle appears in the preset range, a part of a boundary of the correction area corresponds to a part of a contour of the obstacle; judging whether the safety area is completely contained in the correction area or not; and if the judgment result is no, representing that the obstacle has invaded into the safety area. According to the invention, the effects of improving the monitoring accuracy and the driving safety and the like can be realized.

The application provides a charging gun recognition and grabbing method and system based on an intelligent inspection mobile robot, which comprises the following steps: collecting image information of a charging pile area based on the intelligent inspection mobile robot, and processing the image information; guiding the intelligent inspection mobile robot to move according to the scattering position; detecting key points of the charging gun according to the processed image information, and extracting key points at both ends of the handle of the charging gun; generating a plurality of grabbing poses based on the key points at both ends of the handle, and screening an optimal grabbing pose from the plurality of grabbing poses based on collision detection; planning a motion trajectory of a mechanical arm gripper of the intelligent inspection mobile robot according to the optimal grabbing pose, and enabling the mechanical arm gripper to perform a grabbing action to grab the charging gun to a specified position. The application can grab the scattered charging gun and place it in a safe area or the original position, thereby avoiding unexpected situations.

A safety system (12) for an exit module (10) of a converting machine (4), the converting machine for processing of sheet material, the exit module for outlet of a stack (8) of processed sheet material and comprising a conveyor system (16) for transmission of said stack of processed sheet material, the safety system comprising: a presence detection system (22) for detection of an intruding object into an adaptive safety zone (24).

The invention relates to the technical field of subway platform doors, in particular to a multiple safety control device and method for a subway platform door. According to the multi-safety control device and method for the subway platform door, the technical problem that in the prior art, the safety of the subway platform door is poor is solved. A multi-safety control device for a subway platform door comprises a safety area monitoring assembly which is used for monitoring whether personnel in a safety area are in a moving state or not; the safety area monitoring assembly can accurately capture the motion state of people in the safety area. When a person rapidly gets close to the door body, the control assembly timely controls the door body to operate at a slow first movement speed, sufficient response thinking time is provided for the person, the person stops getting close to the door body, and the risk that the person is pinched is greatly reduced. The buffer area monitoring assembly monitors the personnel condition in the buffer area in real time, collision between personnel and the door body is avoided from multiple dimensions, and personnel safety is guaranteed in an all-around mode.