97 results about "Hazard potential" patented technology

A system and method are disclosed for identifying monitoring and evaluating hazardous or potentially hazardous conditions. The system may be worn by safety personnel to detect equipment conditions such as low power supply, environmental conditions such as ambient temperature and/or physiological conditions such as heart rate of a wearer. The system further includes a control unit having electronics operable to communicate signals associated with equipment, environmental and physiological conditions.

There is provided a system and methods for mitigation of the potential dangers to which at least a child, and passengers, are exposed to prior to, during travel and after travel, when outside and adjacent a vehicle. Potential dangers to which a child is exposed are risks associated with driving and non-driving behavior of the driver, when the child is inside and outside the vehicle, when the vehicle is driven on public roads and on private property grounds, and as a result of deficient of mistaken operation of child and passenger related devices. The system and methods require input commands into an indicator to operate equipment elements aboard the vehicle, including sensors, operable devices and alert systems, and are operative for communication with remote stations, with adjacent-driven vehicles, and with the vehicle owner.

An airborne weather radar system that detects potentially hazardous weather conditions associated with storms and includes a radar display featuring visual indications of these conditions. The radar display includes a vertical situation display having iconal representations and symbolic icons indicative hazardous weather conditions and aviation hazards along the aircraft's flight path not otherwise immediately apparent or shown on standard weather radar displays. The system includes processes for detecting and predicting hazardous weather conditions such as overshooting thunderstorm tops and vaulted thunderstorm energy and serious hazards such as turbulence and hail.

A wearable smart device for providing hazard warning information to a user. The wearable smart device includes a microphone configured to detect audio data associated with a potential hazard. The wearable smart device also includes a camera configured to detect image data associated with the potential hazard. The wearable smart device also includes a processor coupled to the microphone and the camera and configured to determine whether the potential hazard presents a real hazard based on the detected audio data and the detected image data.

Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle. A database that represents the road network is used to determine locations where a potentially hazardous condition exists. Then, precautionary action data is added to the database to indicate a location at which a precautionary action is to be taken relating to the hazardous condition. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at a location that corresponds to the location of a precautionary action. When the vehicle is at such a location, a precautionary action is taken by a vehicle system as the vehicle is approaching the location where the potentially hazardous condition exists.

A method for providing messages indicating potential hazardous road conditions using a wireless communications network. Vehicles using the network include sensors that are able to detect various potentially hazardous road conditions, such as rain, fog, icy road conditions, traffic congestion, etc. A plurality of vehicles that detect a specific road condition provide a confidence value that the condition exists. The confidence value is then aggregated by the vehicles with the confidence value of the detected condition from the other vehicles to provide an aggregated result that identifies the probability that the detected road condition is occurring. The aggregated result is then transmitted to other vehicles approaching the road condition, possibly in a multi-hop manner. Alternately, the confidence value from all of the vehicles that detect the condition can be transmitted to approaching vehicles who will provide the aggregated result identifying the potential that the condition exists.

A device for monitoring the condition of a power outlet and for reducing or interrupting power in the event that a condition of the outlet circuitry indicates that a potentially dangerous situation exists. The device can also include a reporting function to alert a user as to the existence of the dangerous condition.

The invention belongs to the field of safety production and early warming emergency of construction of water conservancy and hydropower projects and relates to an Internet of Things framework type system and method for monitoring and early warning of major accident potential safety hazards of a water conservancy and hydropower project. According to the Internet of Things framework type system and method for monitoring and early warning of the major accident potential safety hazards of the water conservancy and hydropower project, information of the potential safety hazards which can cause a potential accident in the area of the water conservancy and hydropower project is recognized and positioned to determine the types and levels of the potential safety hazards, and judging of the types and levels of the potential safety hazards and information statistics are carried out; meanwhile, the geographic position, spatial position, dynamic change, state change and state prediction of monitoring points in the area are analyzed by combining with the historical information of the area, early warning information can be generated automatically after potential safety hazard information in the monitoring area is beyond a set alarm value, and comprehensive data information of the potential safety hazards in the area and early warning of the major accident potential safety hazards of the project are provided through communication transmission.

Manufacturing processes profit greatly from a close collaboration between human and machine. Whereas a human behaves flexibly and adaptively but is inclined to make mistakes during repetitive work operations, machines operate quickly and exactly but are static and not very flexible. In order to enable an improved hazard protection in the context of a safe human-machine interaction, a spatial- and time-dependent variable degree of hazard is allocated to monitored spatial areas as a function of the current position and the current movement state of a machine or a machine element, as well as of the observed person. For this purpose, a multicamera system is used to acquire image data of the person in order to obtain the most detailed information possible about the position and alignment of a person, in particular also with reference to the body parts thereof, in an industrial environment. These image data are then examined with regard to the imaging of a person so that whenever a person has been detected in the image data, an articulated virtual 3D model of the human body is matched to this person hypothesis. Subsequently, this virtual body model is continuously matched to the movement behavior of the person detected in the image data. A hazard potential is determined using knowledge of the position and the movement behavior of the virtual body model in space. The hazard potential thus determined is subjected to a threshold value comparison in order to act upon the movement control of the machine or the machine part in the event of this threshold value being exceeded.

The invention provides a method for early warning of sensitive client electric energy experience quality under the voltage dip disturbance. The method comprises the steps that based on the S conversion rapid algorithm and an increment SVM classifier, voltage dip disturbances of sensitive clients are automatically identified; based on identification results of the voltage dip disturbances, voltage tolerance curves of devices corresponding to multiple types of sensitive clients at different load levels are determined; historical monitoring data of the voltage dip disturbances serve as samples, the samples are converted into sample values of a voltage dip amplitude ponderance index MSI and a lasting time ponderance index DSI, a probability density function of the MSI and the DSI is determined on the basis of the maximum entropy principle, the sensitive device fault probability is evaluated, and the probabilities of the sensitive devices corresponding to the sensitive clients at the voltage dip level are obtained. By the adoption of the method for early warning of sensitive client electric energy experience quality under the voltage dip disturbance, the electric energy quality disturbance condition can be accurately monitored, whether a client load is influenced by the disturbance or not is determined according to the load sensitivity degree of each client, and potential risks of load operation are found.

A railroad remote monitoring and detection system employing cameras, that may or may not be remotely positionable and repositionable, and other motion and presence detection devices such as millimeter wave radar and/or passive infrared and or ultrasound detectors. The use of multiple sensor devices reduces the occurrence of false alarms. The system employs software and logic to detect predetermined alarm conditions and then send a signal to a local or central command center and trains on the route. The system includes wireless receivers onboard the train that scan for monitor information one or more monitor stations in advance of the trains progress to give the train engineer/driver advanced warning of hazardous conditions on the trains route. Alarms to the central control center can be monitored to determine a recurrence of potentially hazardous conditions at a particular site so that steps can be taken to avoid such conditions in the future.

A method and system compares combinations of vehicle or aircraft state variables against known combinations of potentially dangerous states. Alarms and error messages are selectively generated based on such comparisons. In one embodiment, pairs of aircraft state variables are selected and compared to known undesirable pairs of state combinations that indicate an error or a condition that a crew should monitor closely. The combinations and error messages are provided by the database. The comparisons are conducted on a periodic basis monitoring real time states of the parameters collected from various sensors and commands. Experts considering a matrix that provides an exhaustive pairwise comparison of potentially important state variables initially identify undesirable state combinations. Error messages and identification of potential alarms are generated based on both knowledge of actual accidents, and on use of expert knowledge to predict potentially dangerous states.

A method that utilizes high-definition street level images provided by a network of stationary traffic cameras to identify potential hazards or concerns located beyond the range of vehicle mounted devices, and to provide an advanced warning or to take some other remedial action in response thereto. In one embodiment, the method uses multiple items taken from the street level images to corroborate a potential concern before saving that concern to a concern profile where the concern is linked or otherwise associated with a particular geographic zone. By taking remedial actions well in advance of a potential concern, the method provides more opportunity to adjust or otherwise address the potential concern, which can be particularly advantageous when the host vehicle is being operated in an automated driving mode.

A method and system for automatically generating dynamic virtual fences in a hazardous environment are provided. The method includes detecting a potential hazard associated with a field object in the hazardous environment. The method further includes determining a value of a risk factor of the potential hazard and area and shape of a dynamic virtual fence based on values of real-time operational parameters associated with the field object. The method includes automatically representing the dynamic virtual fence around a location of the field object on a map of the hazardous environment based on the determined area and shape and the value of the risk factor such that the dynamic virtual fence represents a hazardous zone in the hazardous environment.

The invention discloses a ship collision risk and risk degree evaluation method capable of associating with avoidance behaviors. The method comprises the following steps that: establishing a ship potential risk evaluation threshold value SDA (Safe Distance of Approach) quantization model, a ship potential risk evaluation model, a ship collision risk degree judgment threshold value model and an initial reference ship judgment model; through the established models, carrying out avoidance effect prediction on an approach situation and an avoidance scheme; if the avoidance effect is under a safe,secondary safe or under-safe level, proving that the avoidance scheme is feasible; and if the avoidance effect is under an unsafe level, starting an immediate risk coordination avoidance scheme. Through the above method, an urgent degree of a current ship to adopt a measure under a current approach situation can be evaluated, and the avoidance effect of an avoidance decision formed through a PIDVCA (Personifying Intelligent Decision-making for Vessel Collision Avoidance) decision algorithm can be evaluated to guarantee that the current ship is safely avoided. Objectivity and subjectivity are combined, the practical approach scene is comprehensively considered through ship relative motion vector geometric graphic analysis, a redirection avoidance behavior is associated, and a final avoidance decision is safe, economic and scientific.

The invention discloses an intersection collision-avoiding method based on a dynamic Bayes network, and mainly solves the problems that an existing algorithm is not well adapted to the complex road layout of an intersection, a large amount of data processing is needed, and the calculation complexity is high and the time complexity is high. The method comprises the steps of: 1) determining vehicle states, road conditions and driver behavior information, and adopting the dynamic Bayes network to carry out modeling on vehicle state evolution; 2) determining the safe driving behavior of a target vehicle according to the current environment conditions; and 3) deriving the intention behavior of the driver at the intersection, carrying out risk estimation based on comparison between the safe driving behavior and the intention behavior, and when potential risks are detected, taking different measures according to the practical condition for avoiding a collision. According to the invention, the complex vehicle track prediction process is avoided, the calculation amount is reduced, the vehicle collision in other scenes can be flexibly avoided, and the method can be applied to an intelligent traffic system.

The invention relates to a dangerous-overtaking early-warning prompting method. The dangerous-overtaking early-warning prompting method comprises the steps that (1) the states of vehicles in front of a vehicle and behind the vehicle are detected, and the state of the vehicle is judged; (2) when the vehicle is in a vehicle following stage, whether a left lane and the position in front of a lathe where the vehicle is located are safe or not is judged, if the lanes are safe, the prompt that safe overtaking can be carried out is given to a driver of the vehicle, and if the lanes are dangerous, the prompt that overtaking cannot be carried out is given to the driver of the vehicle; (3) when the vehicle is in an overtaking state, whether the side direction, the front portion and the rear portion of the vehicle are safe or not is judged, if the positions are safe, the prompt that safe driving can be carried out is given to the driver, and if the positions are dangerous, an alarm is given out; (4) when the vehicle is in a stage that the vehicle will return, whether the lathe where the vehicle is originally located is safe or not is judged, if the lathe is safe, the prompt that safe return can be carried out is given to the driver, and if the lathe is dangerous, the prompt that return cannot be carried out is given to the driver. The invention further discloses a dangerous-overtaking early-warning prompting system. According to the dangerous-overtaking early-warning prompting method and system, real-time detection and prediction can be carried out on the motion state of the vehicle and the motion states of the surrounding vehicles, the alarm can be given to the driver under the condition that dangers and potential dangers exist, traffic accidents are effectively prevented from happening, and the driver can be prompted whether safe overtaking or safe return to the original lathe can be carried out or not under the condition that the potential dangers do not exist.

Systems and methods of using the system for providing warning to ladder users of hazardous locations along its span are disclosed. The system comprises a contact strip or contact device located on a specific rung, step or tread on or in close proximity to the hazardous location along the span of the ladder erected for use that when engaged by the weight of a person stepping on said rung, step or tread, the contact strip or device is engaged, activating an electronic warning signal. This signal can occur in a form or combination of forms such as, but not limited to, an auditory alarm, a vibration or a light. This contact strip or device and its accompanying warning signal are powered by a form of electric current provided from any regularly available forms of power such as but not limited to, removable batteries, re-chargeable batteries or power-packs that may be directly plugged into any permanent source of power. This system may comprise a light beam transmitter; said beam can be of visible or invisible light that is generated in a concentrated-beam form across the width of the ladder where it is reflected by a reflecting device on the opposite side of the width of the ladder. Said beam spans a left-to right path across the width of the ladder. Once the user of the ladder moves into the beam as it is placed at or in close proximity to the hazardous location and said user breaks the plane of said light beam this action further activates an electronic warning signal. This signal can occur in a form or combination of forms such as but not limited to, an auditory alarm, a vibration or a light. This beam and its accompanying warning signal are powered by a form of electric current provided from any regularly available forms of power such as but not limited to, removable batteries, re-chargeable batteries or power-packs that may be directly plugged into any permanent source of power. This system may be constructed in a manner that it is installed permanently within the structure of the ladder at set locations consistently considered to be potentially hazardous locations. This system may be constructed as a self-contained unit that is portable, removable and installable at any location along the run of a ladder that its user may deem appropriate. This portable/removable unit is constructed in a housing or container that would facilitate the easy attachment to the ladder structure and made in such a manner to allow for adjustable width to facilitate a variety of installation applications across a spectrum of ladder sizes and designs.

The invention discloses a hard roof mine impact ground pressure hazard risk prediction analysis method. The hard roof mine impact ground pressure hazard risk prediction analysis method comprises substituting obtained mechanical parameters into an energy release equation based on an occurred impact ground pressure hazard to obtain the energy increase degree REC; performing the quantitative characterization on the energy absorption degree AEC according to six divided supporting schemes; dividing specific mine impact ground pressure hazard risk prediction analysis frameworks according to the degree of the influence on mining, wherein the formula of the impact ground pressure hazard potential RDP is as follow; calculating the impact ground pressure hazard potential produced in the mining process of the high press area in the process of the newly occurred hard roof breaking and performing comparison on the impact ground pressure hazard potential and the established impact ground pressure hazard risk prediction analysis frameworks to determine the hazard degree of the impact ground pressure. According to the hard roof mine impact ground pressure hazard risk prediction analysis method, the scientific quantification is performed on the impact ground pressure hazard potential induced by the hard roof breaking in a mine, the calculation method is simple, the required mechanical parameters are easy to obtain, and the impact ground pressure hazard risk of the hard roof mine is simply and conveniently determined.

A driver assistance system includes, but is not limited to at least one environment sensor, an evaluation unit for identifying a potential hazardous traffic situation, and at least one actuator that can be activated by said evaluation unit for executing a warning intervention or a hazard-mitigating intervention according to the degree of hazard of the traffic situation identified by the evaluation unit. The evaluation unit is set up to distinguish at least three degrees of hazard of a potentially hazardous traffic situation and upon determining a degree of hazard that goes beyond that of the hazard-mitigating intervention, to trigger an emergency intervention of the actuator.

The invention discloses an obstacle dodging method of UAV based on the velocity obstacle arc method. The obstacle dodging method mainly comprises the following steps: establishing a 2-dimensional barrier cone; establishing the velocity obstacle arc; defining the ranking of known obstacle threats and implementing the judgment for dodging activity; solving the arc parameters of the velocity obstacle; solving the dodging direction. And the known obstacles are classified into three levels of obstacle threats, the level I obstacle threat must be dodged; the level II obstacle shall receive the analysis as to the impact incurred from the UAV dodging process; the level III obstacle doesn't need to be dodged at all. The method can effectively avoid the negative influences brought by the negligence of 'potential dangers' characterized by the prior art of obstacle dodging algorithms, and can solve the complex tasks of dodging multiple obstacles, the method can hugely upgrade the self dodging capability of UAV under complex environment.