40 results about "Panic" patented technology

The invention discloses a crowd evacuation simulation method and system based on panic emotion propagation and hazard source influence, and the method comprises the steps: setting a simulation scene, and modifying the infection rate of infectious disease dynamics into a state transition function affected by an emotion threshold value; after simulation is started, calculating a state transfer function for each individual in the crowd, and establishing a panic emotion propagation model; setting danger repulsive force exclusive to a danger source, establishing a social force model based on the panic emotion propagation model and the danger repulsive force, and simulating crowd evacuation based on the social force model. According to the method, the infection rate of infectious disease dynamics is changed into a dynamic parameter influenced by an emotion threshold value from a static parameter, the dynamic parameter is used as a state transition function of individuals, the function is used as a bridge, a social force model and panic emotion propagation are fused together, individual differences in crowd evacuation are deeply reflected, and the social force model and the panic emotion propagation are integrated. Therefore, simulation of crowd evacuation is realized.

The invention relates to the technical field of drowning prevention early warning, in particular to a binocular AI infrared safety early warning system for drowning prevention of a swimming pool. The swimming posture information of each swimmer is obtained by performing state analysis on the image data, the infrared data and the radar data of the swimmer, and the drowning early warning information is obtained by analyzing the swimming posture information of each swimmer, so that early warning is effectively performed on the drowner, and the fatigue of a lifeguard is reduced; in addition, early warning scheme analysis is carried out on the drowning early warning information to obtain early warning scheme information, rescue execution is carried out according to the early warning scheme information, directional early warning information of a rescue route corresponding to a warning area of a drowning person and a lifeguard in the shortest distance is used as the corresponding early warning scheme information, directional early warning is carried out on the drowning person, and the rescue efficiency is improved. The number of informed people is reduced, the phenomenon that people are prone to consensus psychology under the panic emotion is avoided, and safety is improved.

The invention relates to the technical field of intelligent fire fighting, and discloses an evacuation indication route design method, system and equipment considering a fire position, and the method comprises the steps: building a first ant colony algorithm model, determining the direction of a daily evacuation indication lamp under the condition of no fire, and determining a daily evacuation room set of each evacuation indication lamp pointing to each emergency exit, the first generation module generates a first evacuation indication route; judging whether the available time of each emergency exit is greater than or equal to the evacuation time from the room to the corresponding evacuation indicating lamp to point to each emergency exit when no fire occurs; if yes, continuing to execute the first evacuation indication route; and if not, dynamically planning a second evacuation indication route by adopting a second ant colony algorithm model. Through scientific model establishment and a dynamic adjustment mechanism, the situation that people select unavailable or crowded emergency exits in the evacuation process can be effectively avoided, the panic feeling of evacuated people caused by confusion and congestion in the evacuation process is reduced, and therefore the overall evacuation efficiency is improved.

The invention discloses a large-scale subway group escape system based on panic emotion infection, and relates to the technical field of escape systems.The large-scale subway group escape system based on panic emotion infection comprises the steps that 1, a crowd evacuation scene is constructed according to subway related information; step 2, initializing a crowd (Crowd); each individual in the crowd Crowd comprises personality characteristics phi, an initial emotion value e0 and an initial movement speed v0; 3, performing an emotion infection simulation algorithm; step 4: first; the range between the pedestrian carrying the luggage and the luggage is divided to be less than or equal to 0.5 m; carrying out related weighting and improvement on the evacuation speed and behavior of pedestrians according to the luggage volume and the luggage weight when the luggage volume and the luggage weight exceed the individual bearing capacity; a discarding behavior will occur; 5, calculating the crowd density rho of the walking area at the t + 1 moment according to the crowd movement information; the crowd evacuation behavior is updated; and step 6, realizing crowd evacuation visualization in a graphical mode.

The invention discloses a heterogeneous crowd evacuation model fusing multi-dimensional panic emotion characteristics in the technical field of crowd evacuation dynamics, which comprises a multi-dimensional panic emotion analysis unit and an improved social force model unit, the multi-dimensional panic emotion analysis unit is used for quantifying panic emotion influences of three dimensions of environment pressure, individual characteristics and group effect and generating dynamic multi-dimensional emotion pressure factors, and the improved social force model unit is used for adjusting expected speeds of heterogeneous individuals based on the multi-dimensional emotion pressure factors and realizing dynamic simulation of crowd evacuation behaviors. According to the dynamic adjustment mechanism, an evacuation path and a group cooperation strategy are dynamically optimized based on a real-time panic pressure factor, a multi-dimensional panic emotion analysis method and an improved social force model fusing multi-dimensional panic emotion features are innovatively designed, and the influence mechanism of different factors on the panic emotion and evacuation efficiency of pedestrians can be effectively analyzed. Therefore, real simulation of pedestrian evacuation behaviors is realized.

A device relating to a floater for use by a non-swimmer for buoyancy comprising a floating flatbed with coded descriptions (lateral ends: front end 14, back end 12) and a plurality of paired straps with buckles (20,22) to secure the floater flatbed (10) fixed in the swimmer’s body. This is designed to keep the non-swimmer afloat while concentrating on their hand and leg exercises. The floating flatbed is wrapped either at the upper limbs posterior or anterior portion of the body; a webbing belt with safety mechanisms buckled around the body which can be fixed at the levels; waist, abdominal, and upper back (posterior) or chest part (anterior). An adjustable strap is buckled across shoulders (24, 26) to fasten the device in place below the jaw with a plane surface of a floater which allows use purposely for either supine or prone floating mechanics fundamental in learning the basic skills for any appropriate floating position. Apparently, problems like drowning and other water accidents happen in just any part of the globe usually caused by panic and water anxiety. The device contains characteristics easy for use by non-swimmers at any age level for water safety and training device for non-swimmers particularly those who manifest water anxiety. Acquired skill in floating somehow creates mental alertness as a greater opportunity for survival during atrocities.

The invention relates to a real-time crowd panic probability identification method and system based on multi-modal fusion. The method comprises the following steps: collecting video data and audio data and carrying out data preprocessing; inputting the preprocessed video data into the CDNet to obtain a density map; candidate panic areas in the density map are extracted; identifying a target person in the candidate panic area in the video data frame by frame to obtain a motion trail sequence; obtaining the motion trail panic probability of the target person according to the high-order time sequence characteristics of the motion trail sequence; converting the preprocessed audio data into a frame-by-frame text sequence, and identifying panic language content; fusing the spatial structure features of the density map, the feature vector of the panic probability of the motion track and the context semantic features of the panic language content into a unified representation vector; and inputting the unified representation vector into a multi-layer perceptron to obtain a crowd panic probability identification result. Compared with the prior art, the method has higher adaptability and robustness.

The invention relates to the technical field of emergency rescue equipment, in particular to a compressed oxygen self-rescuer with a hand-free wearing function, which comprises a protective shell, an oxygen bottle, a switch hand wheel, an air storage bag, an extension soft bag, an air distribution layer, an absorption tank, an exhalation pipe and a split plate, by prolonging the closed space jointly formed by the soft bag and the air storage bag, it is ensured that the finally formed closed space can still be rapidly filled with oxygen-enriched air output by the low-pressure air supply end of the oxygen bottle, the situation that the inflation time is prolonged due to the too large volume can be avoided, and the situation that breathing resistance is increased due to the too small volume can also be prevented; according to the utility model, the soft material is prevented from collapsing and twisting due to insufficient inflation, the airflow channel is ensured to be always unblocked, and a user can feel obvious airflow support when inhaling the first breath, so that the panic emotion is effectively relieved.

The invention discloses a security activity scheme generation method and system based on machine learning, and relates to the technical field of security. The method comprises the steps of data acquisition and preprocessing, psychological feature quantitative model training, risk assessment, scheme generation and adjustment and model updating. A psychological feature quantitative model is constructed through machine learning, the real-time anxiety index and panic probability of participants are accurately predicted, and a secondary risk level is calculated in combination with site parameters, so that a security scheme is highly matched with an actual risk, and'one-step 'is avoided. Real-time data are collected every five minutes, the scheme is dynamically adjusted, and it is ensured that on-site changes are quickly responded. Data collection dimensions are comprehensive, data quality is guaranteed through preprocessing, a sliding window divides a data set, a random forest builds a model, new data is fused regularly to update the model, and prediction reliability is improved. The grading scheme pertinently prevents and controls secondary risks, guarantees activity safety, and meanwhile, differentially configures resources, optimizes the utilization of the resources and reduces the security cost.

The invention discloses a pedestrian dynamic modeling method and device considering panic emotion and a medium, and the method comprises the steps: firstly completing spatial discretization, static field calculation and obstacle processing through scene initialization, determining the distance from a grid to an exit through Euclidean distance, generating a static field value, and determining the spatial constraint of pedestrian motion; then, in a pedestrian motion calculation link, a multi-dimensional dynamic coupling panic factor quantification system is innovatively constructed, crowd density, environmental stimulation intensity, distances between pedestrians and stimulation sources and the like are synthesized, accurate quantification of panic emotions is achieved through a distance attenuation and time attenuation mechanism, and the panic emotions are deeply bound with motion parameters. According to the method, through deep fusion of the panic emotion and the OSM model, irrational behaviors and differentiated movement tracks of pedestrians in an emergency scene are effectively reproduced, the simulation precision of a complex evacuation scene is remarkably improved, a scientific quantitative basis can be provided for evacuation scheme optimization and crowd management and control strategy formulation, and the method is of great significance in improving the public safety management level.

The present invention discloses a framework method for real-time detection of black screen fixation of smart phones, comprising the following steps: Step 1, constructing a mobile phone-side experimental platform with a built-in experimental data collection program, wherein the mobile phone is a common Android mobile phone model, and the experimental data collection program supports triggering the black screen fixation of the mobile phone and collecting the user's behavior of operating the mobile phone, and sets the usage model type to a classification model, that is, task_name is set to classification. The framework method for real-time detection of black screen fixation of smart phones includes a complete set of ergonomic experiments to collect a series of panic behavior data when users face the black screen fixation phenomenon, performs a series of preprocessing operations on the data, and uses an advanced time series classification model to complete training based on the data, and finally completes deployment testing on the mobile phone side. It includes a complete framework and implementation for real-time detection of black screen fixation on the mobile phone side, and provides a new solution framework from the intersection of ergonomics and computers.

The invention relates to the technical field of mental health assessment, in particular to a medical scene-oriented non-contact mental health assessment and intervention method, which comprises the following steps of: performing data enhancement on expression data and physiological data, and screening out enhanced expression data and enhanced physiological data; performing emotion recognition according to the enhanced expression data by using an emotion classification model to obtain an emotion recognition result of the detected object; and establishing a contact type psychological health assessment model by using a neural network, and carrying out transfer learning on the contact type psychological health assessment model to obtain a non-contact type psychological health assessment model. According to the method, the defects of the collected physiological data and expression data are repaired by utilizing the repair network, the quality of analysis data is improved, meanwhile, a contact type psychological assessment process based on the physiological data is converted into a non-contact type psychological assessment process by utilizing a transfer learning mode, external equipment does not need to be added to make contact with the body of a tumor patient, and the workload of the tumor patient is reduced. And unease and panic of tumor patients are avoided.

The application relates to the technical field of patient accompanying, and specifically provides an intelligent multi-dimensional management system for critical patients, which comprises an intelligent display terminal, an accompanying program is built in the intelligent display terminal, a fingertip controller, the accompanying program is controlled by the fingertip controller through acquisition of finger actions to select corresponding functions, wherein the fingertip controller comprises a direction control module, finger actions are acquired to control a cursor in the intelligent display terminal to move up, down, left and right along a screen, and a determination button module is used for acquiring actions of another finger to input confirmation and power-on / off instructions; the accompanying program in the intelligent display terminal enables the critical patient to make a video call with family members, watch videos and play small games, a rehabilitation mode with full participation of the family members is created to relieve the fear and anxiety of the critical patient, and thus problems such as anxiety, panic and delirium of the patient in an intensive care unit are prevented.

The invention discloses an emergency broadcasting method, a terminal and a storage medium. The method comprises the following steps: receiving an environment audio and video stream; separating human voice and environment voice categories based on the prompt vector; performing audio-visual cooperative positioning based on human voice, and extracting a face image; performing anti-shielding tracking on the target, and outputting continuous coordinates; human voice and human face features are fused to analyze emotion, and a panic index is output; in combination with the coordinates, the panic index and the environmental sound category, generating a safety guidance instruction through neural symbol reasoning; generating voice according to the instruction and performing psychoacoustic modulation based on the panic index; and finally generating beam forming parameters based on the coordinates. According to the method, the technical problem that the traditional broadcast cannot generate and precisely project the voice instruction with the psychological pacifying effect according to the specific position and the real-time psychological state of the target in a complex disaster site is solved.

The utility model relates to operation box equipment for escape and self-rescue of an elevator, which belongs to the technical field of elevators and comprises a maintenance box, a control box and a control box, the control panel is electrically connected with the maintenance box and used for achieving escape and self-rescue operation of the elevator; the control panel comprises a shell and keys, a fixing mechanism is arranged on the shell, and the fixing mechanism is connected with an elevator car in an abutting mode. The control panel is arranged in the device, trapped people only need to operate the control panel in the lift car to carry out simple and easy self-rescue operation, the trapped people can rapidly get out of the dilemma, the psychological panic influence of the trapped people is relieved, and secondary accidental injuries are avoided.

The application discloses a sound stimulation self-adaptive regulation system based on abnormal state identification, wherein a signal acquisition and calculation module calculates an anxiety index by acquiring various physiological and motion sensing data of a user in real time; a panic identification and alarm module first corrects a motion state according to the motion sensing data, then runs a rapid threshold path and an unsupervised model path in parallel, and outputs a panic attack alarm signal and an abnormal intensity score; a sound stimulation control module selects a sound stimulation mode according to the output of the panic identification and alarm module and the anxiety index, and outputs corresponding sound stimulation according to an individualized file of the user; and a parameter optimization learning module evaluates the effect of sound stimulation in real time during the stimulation intervention process of the sound stimulation control module each time, optimizes stimulation parameters in the next step, and files and learns whole-process data after the intervention ends. According to the application, early and accurate identification and timely intervention of a panic attack state can be realized.

By detecting panic situations and providing a host device detailed panic data and mitigation options before the panic situation condition occurs, failure of data storage devices may be reduced. Several mitigation options may be presented to the host device upon detection of a future panic situation, such as adjusting read performance; increasing device power; performing evacuation and management operations; and / or redirecting host commands to another data storage device for command completion. When the other data storage device is in the same PCIe tree and reachable, the command may be directed with PRPs / SGLs that point back to the same host device. In some embodiments, the data storage devices may have a submission queue between them. In some embodiments, the data storage device comprises a panic early detection module and a panic control module.

The utility model relates to the technical field of mortar, and provides a frontier defense portable mortar shell anti-refilling detection device which comprises a mortar body. The sleeve shell is arranged on the gun barrel in a sleeving manner; the centering clamping assembly is arranged on the sleeve shell; the fixing assemblies are symmetrically arranged on the centering clamping assembly and used for fixing the sleeve shell; a power switch is manually pressed to activate a detection mechanism in a sleeve shell, then a system self-inspection indicator light is lightened after two seconds, so that whether the detection mechanism is normal or not is checked, then when a filling safety indicator light turns green, a driving assembly drives a blade of an iris closing assembly to retract, and shells can be normally filled; on the contrary, when the red is bright, the driving assembly does not work, the iris closing assembly continues to be closed, and shell filling is stopped, so that the shell filling condition in the mortar barrel can be displayed in real time, soldiers can conveniently and accurately recognize whether the bullets are excited or not, the panic psychology of live shell shooting training of the soldiers is relieved, and shooting safety accidents are prevented.

The invention relates to the technical field of crowd evacuation guiding, in particular to a crowd dynamic evacuation guiding method based on an emotional infection model, which comprises the following steps: acquiring multi-source sensing data such as a crowd density thermodynamic diagram, panic scream frequency distribution and real-time passage counting of gates at entrances and exits of a target place; after carrying out space-time alignment on the crowd density thermodynamic diagram and panic scream frequency distribution, inputting an emotional infection propagation model to generate a dynamic emotional field distribution diagram; calculating an instantaneous evacuation potential value of a candidate evacuation channel in combination with real-time passage counting, and screening a priority evacuation channel set; and extracting channel surrounding environment constraint parameters to generate a path weight matrix with physical capacity limitation, superposing emotional excitement indexes to remove conflict paths, and determining a final guide path set. According to the method, more accurate and more efficient crowd dynamic evacuation guidance can be realized.

By detecting panic situations and providing detailed panic data and mitigation options to the host device before the panic situation occurs, data storage device failure can be reduced. Upon detection of an impending panic situation, the host device can be offered several mitigation options, such as adjusting read performance; increasing device performance; performing swapping and management operations; and / or redirecting host commands to another data storage device for command execution. If the other data storage device is in the same PCIe tree and reachable, the command can be redirected using PRPs / SGLs that point back to the same host device. In some embodiments, the data storage devices can have a transmission queue between them.In some embodiments, the data storage device includes a panic early warning module and a panic control module.

A panic behavior recognition method and system based on a panic semantic model, and a medium. The method comprises the following steps: invoking an AI interface to perform real-time recognition on an audio stream to obtain semantic information, and by means of the semantic information and a basic concept, performing hierarchical division, and recognizing key speech segments; on the basis of a locating coordinate matrix, determining the specific hierarchical level and position of each key speech segment; and on the basis of the specific hierarchical level and position, using a description matrix to obtain the weight of the key speech segment, performing consistency matching on the degree of panic in a scenario, and determining whether a panic behavior has occurred, wherein the construction steps of a panic semantic reasoning network model are as follows: selecting a panic scenario as a description object; using a web ontology language to define a basis concept in the selected panic scenario; supplementing knowledge elements in the panic scenario, in order to improve a panic semantic model; and defining a reasoning rule, and constructing the panic semantic reasoning network model. Compared with the prior art, the method improves the accuracy of pedestrian panic behavior recognition.

This invention relates to a method and apparatus for identifying audio features of panicked pedestrians screaming. The method includes: extracting audio from a video; extracting audio features from a first frequency band of the audio and calculating the audio energy distribution; dividing the audio energy into intervals and establishing a panic behavior audio feature identification matrix model; and determining the behavior type and gender in the audio based on the audio feature identification matrix model. Compared with existing technologies, this invention identifies the screaming behavior of panicked pedestrians by analyzing audio features and establishing a panic behavior audio feature identification matrix model, exhibiting robustness and environmental adaptability.

The present disclosure proposes a method and system for group facial expression and emotion recognition based on spatiotemporal consistency, comprising the following steps: performing face detection and recognition on a video image of a crowd motion scene to be recognized to obtain the facial expression of each individual in each frame; identifying whether the individual's emotion is panic based on the facial expression of each individual; calculating whether the occluded individuals in some frame images are panic-emotional based on temporal consistency, and calculating whether the occluded individuals in all frame images are panic-emotional based on spatial consistency; and obtaining the group panic degree based on the proportion of panic-emotional individuals among all individuals. The present disclosure solves the problem of incomplete facial expression information collection due to occlusion in a crowd, based on the proposed temporal consistency individual emotion calculation method and spatial consistency individual emotion calculation method, and then solves the problem of group emotion recognition in crowd motion scenes through the group panic degree.

The application discloses an automatic driving control method and device, electronic equipment and storage medium. The automatic driving control method adopts a cognitive decision model, the cognitive decision model comprises a cognitive layer and a plurality of decision layers, and the decision layers are connected in series. The automatic driving control method comprises the following steps: acquiring in-vehicle and out-vehicle monitoring data; extracting environmental cognitive features and user demand features from the in-vehicle and out-vehicle monitoring data through the cognitive layer; inputting the environmental cognitive features and the user demand features into each decision layer in turn for multi-layer decision reasoning to determine automatic driving control parameters. The application improves the interaction between the automatic driving vehicle and the user, reduces the negative emotions such as doubt, panic and unease of the user, and improves the user experience.

The invention discloses a sound stimulation adaptive regulation and control system based on abnormal state recognition, and the system is characterized in that a signal collection and calculation module calculates an anxiety index through obtaining various physiological and motion sensing data of a user in real time; the panic recognition alarm module firstly performs motion state correction according to the motion sensing data, then runs a fast threshold path and an unsupervised model path in parallel, and outputs a panic attack alarm signal and an abnormal intensity score; the sound stimulation control module selects a sound stimulation mode according to the output of the panic recognition alarm module and the anxiety index, and outputs corresponding sound stimulation according to the individualized file of the user; the parameter optimization learning module evaluates the effect of sound stimulation in real time in each stimulation intervention process of the sound stimulation control module, and optimizes stimulation parameters of the next step; and meanwhile, archiving and learning the whole-course data after the intervention is finished. According to the invention, early accurate identification and timely intervention of the panic attack state can be realized.

The utility model relates to a bird transportation heat preservation box which comprises a box body, a heat preservation box body and a heat preservation box body. The lighting device is used for lighting the activity room; and the tooth grinding piece is used for being pecked and bitten by birds and protrudes from the inner wall of the movable chamber to the inside of the movable chamber. As the birds like pecking and biting protruding objects, the tooth grinding piece can attract the birds to peck and bite other places in the activity room, and the heat preservation box is not prone to being damaged due to pecking and biting of the birds. Besides, the lighting device can light the activity room, so that the panic emotion of the birds due to darkness is avoided, and the birds can clearly see the molar pieces in the activity room, so that the birds can peck and bite the molar teeth.

This utility model provides an anti-panic device for descent devices, belonging to the technical field of high-altitude installation devices. It solves the problem that existing descent devices, due to incorrect installation or operational errors, can cause a sudden, explosive fall that easily triggers panic. This anti-panic device includes a descent device body with an internal rope reel; a drive shaft is located at the center of the rope reel; an anti-panic device is located on the side wall of the descent device body; the anti-panic device has a follower turntable and a locking disc; the follower turntable is engaged with the drive shaft; the follower turntable has several locking pawls; the follower turntable also has a shaft with several limiting locking ratchet teeth; the inner wall of the locking disc has several concave teeth; a counterweight protrusion is located at one end of each locking ratchet tooth, and a limiting groove is located at the other end; a spring is located between the limiting groove and the follower turntable. This utility model has the advantages of being easy to use, preventing panic, and preventing sudden impacts.

The invention relates to the technical field of safety intelligent guidance, and particularly discloses a safety intelligent guidance method based on scene analysis and emergency plan triggering. Comprising the steps of situation awareness data stream generation, combined crisis state model construction, cooperative guidance instruction generation, field effect guidance environment deployment, physical feedback signal generation, closed loop validity verification result generation and guidance environment adaptive adjustment. According to the method, situation awareness data streams are generated through fusion of a multi-source sensor, a composite crisis state model is constructed, congestion and panic levels are quantitatively evaluated, then spatial differentiation cooperative guidance instructions are generated, an acousto-optic linkage field effect guidance environment is deployed, and the guidance strategy effectiveness is verified by monitoring the physical response of a crowd, so that the guidance efficiency of the crowd is improved. The guide environment is adaptively adjusted; according to the invention, the conversion from post-event response to pre-warning is realized, the evacuation efficiency and the system reliability are improved, and an innovative solution is provided for the safety management of large public places.

The invention discloses a video figure abnormal behavior detection method based on emotion enhancement, which innovatively introduces an emotion feature as a core supplement, and provides deep semantic interpretation for abnormal detection by analyzing an emotion motivation (such as anger, panic and attack tendency) behind a behavior. The emotion features provide high-level semantic constraints for the motion features (flow features) and the appearance features (RGB features), and the motion features and the appearance features provide direct and morphological abnormal clues; through the multi-level feature information fusion, the video anomaly detection return method based on emotion enhancement can make accurate judgment for different types of abnormal behaviors (such as irregular actions, emergencies, abnormal crowd behaviors and the like) in a complex video scene, so that the overall anomaly detection performance is effectively improved.