30results about How to "Shorten the warning time" patented technology

The invention discloses a parachute-opening state monitoring method and system based on feature recognition of a resistance parachute. Firstly, it is judged whether the guide parachute has been sent out. Points are used as feature points, and the gradient of the total number of feature points is used as the threshold for judging whether the drag parachute is successfully opened. The invention judges the parachute opening situation of the drag parachute by measuring the change gradient of the total number of feature points on the drag parachute, and sets a corresponding threshold. When the change gradient of the total number of feature points is lower than a certain threshold, the voice radio station is automatically triggered. Provide voice prompts to realize the pilot's quick judgment and emergency treatment of the parachute opening status of the aircraft. Based on picking up the characteristic points of the parachute opening of the aircraft, the invention can quickly judge whether the parachute opening is successful, shortens the alarm time, improves the reaction time of the pilot and the flight test safety margin, and has good practicability.

The invention discloses a method and system for rapid detection and early warning of road targets, which belong to the field of computer vision. Area of ​​interest: according to the order of the target distance from near to far, target detection is performed on the N-level area of ​​interest in sequence. After a target is detected in a certain level of interest area with a relatively short distance to the target, an early warning will be issued, and subsequent levels will not be detected. The region of interest is detected; wherein, N≥2, the target distance is the distance between the target and the image acquisition device. Compared with the existing detection and early warning algorithms for pedestrians, vehicles and other targets, the present invention can more quickly and accurately detect and warn the targets appearing on the driving route, and has good practical value.

The invention provides a slope dangerous rock early warning method, device, equipment and readable storage medium, and relates to the technical field of slope dangerous rock early warning. Then the two models are combined to generate a virtual slope model. The overload method and strength reduction method are used to make the natural slope model unstable. After analysis and calculation, the stability coefficient of the rock block outside the slope is obtained, and then the neural network model is used. The rock model of the block outside the slope and the instability simulation data are used as input values, and the stability coefficient is used as the output value to train the neural network, and the trained neural network is used to identify other rocks on the slope to obtain the corresponding stability coefficient, so as to carry out early warning.

The invention provides a slope intelligent early warning method and device. The method includes: obtaining the geological information of the slope, the model of the slope, and the horizontal displacement and vertical displacement of each monitoring point in the slope; based on the geological information of the slope, calculating Different sliding surface shape information of the slope in the slope model, the horizontal displacement range and vertical displacement range of each monitoring point arranged in the slope model; based on the range of internal friction angle, cohesion range, edge The shape information of different sliding surfaces of the slope, the horizontal displacement range and the vertical displacement range of each monitoring point arranged in the slope model are used to construct the neural network model; according to the constructed neural network model, the horizontal displacement and vertical displacement range of each monitoring point in the slope Based on the predicted results and the soil weight of the slope, the early warning level of the slope is obtained. The invention does not need a large amount of historical monitoring data to carry out early warning to the existing slope engineering.

The invention relates to a design method of the points of interest of a vehicle navigation system. The method comprises the following steps: the forms of two dynamic linked lists are located, namely a broadcast linked list and a point location linked list; the point location linked list contains the broadcast linked list; the point location linked list contains the longitude and latitude data of all the points of interest, the broadcast linked list contains the longitude and latitude data of the points of interest to be warned early; the longitude and latitude data of the points of interest are converted to the integer mode; the localization information of the vehicle is updated instantly, the points of interest in the broadcast linked list are started to compare; when the data of the points of interest completely are monitored to satisfy the set range, the vehicle is shown to enter the early warning range; and after the vehicle enters the early warning range, the information of the broadcast linked list is directly imported in the point location linked list, and the early warning information is prompted through an external loudspeaker. By using the method of the invention, the location speed of the points of interest is fast and the early warning time of the vehicle navigation system is shortened extremely.

A rapid early-warning system based on a phase-sensitive optical time-domain reflectometer includes a disturbance monitoring and positioning module, and a disturbance signal identifying module. The disturbance monitoring and positioning module: a disturbance monitoring part performs difference on the beat signal intensity of a phase-sensitive optical time-domain reflectometer, the rapid early-warning system based on the phase-sensitive optical time-domain reflectometer can monitor the difference of the beat signal intensity all the time, and once the difference of the beat signal intensity changes, it means that a disturbance signal generated by disturbance occurs; and a positioning module can determine position information of a disturbance point through the time difference of an optical time-domain reflectometer echo. The disturbance signal identifying module includes a pre-treatment module, a feature extraction module, a template training module, a pattern classification module, and a post-treatment module; template training means that templates of a plurality of types of signals can be constructed according to features of a series of different types of disturbance signals; the features of the disturbance signals and preset templates of the plurality of types of signals are matched, and the types of the signals can be determined according the matching degrees; and a warning measure or a no-warning measure can be preformed according to a result of pattern classification.