40results about How to "Reliable early warning" patented technology

A train approach early warning method and system based on train-ground signal fusion, comprising: a TDCS system server sends part of the train running status information to a TDCS conversion server; a handheld terminal sends a protection area to the TDCS conversion server through a wireless network, and the TDCS conversion server receives After the protected area is sent by the handheld terminal, the acquired train running status information is compared with the location information of the protected area to determine whether there is a train entering the protected area; when a train enters the protected area, the TDCS conversion server sends a message through the wireless network. The early warning information is sent to the handheld terminal, and the handheld terminal performs early warning. The invention uses TDCS data and radio data to realize the integration of remote inter-station early warning and real-time approach early warning. The closer the train is to the work site, the more accurate the early warning data is, and it effectively warns the on-site workers to avoid vehicles when they get off the road.

The method for estimating the abnormal state of power system operation includes: creating a historical case library for expert diagnosis, the historical case library is divided into voltage level level, substation level and interval level, and each level has multiple level nodes; The data content of the historical cases is respectively filled in the hierarchical nodes corresponding to each level; in the historical case library, the operation state values ​​of the various types of disturbances before the occurrence of the disturbance are analyzed by big data, and the operation state of each operation state is calculated. The value of the disturbance warning threshold; real-time collection of panoramic information of the user grid; when a certain operating status value of the panoramic information exceeds its corresponding disturbance warning threshold, a disturbance warning is issued. The estimation method can provide the user with an estimation of the occurrence of the disturbance, and remind the user to take measures in time to prevent the occurrence of the disturbance.

The invention relates to a method for warning traffic accidents in real time on the basis of videos. The method includes starting to continuously track n images from an optional N image to obtain a movement track of a first vehicle and a movement track of a second vehicle; acquiring angular points and recording positions of the two angular points of the two vehicles in the images; acquiring particular positions of the angular points according to a mapping table; acquiring actual running speeds of the vehicles; and computing the safety time between the two vehicles to determine a safety level so as to warn a traffic accident in real time. Compared with the prior art, the method for warning the traffic accidents in real time on the basis of the videos has the advantages that the method can be implemented without environmental constraints, all vehicles within a video range can be reliably warned in real time, and the method is easy to implement, is high in accuracy, is quite suitable for real-time traffic warning and has a broad application prospect.

The invention provides an adaptive active anti-collision braking system with independent training and learning. It is mainly composed of a millimeter-wave radar sensor, a monocular optical sensor, a brake motor controller, a precise stepping brake motor, and a Beidou high-precision system. The combined navigation communication terminal and display terminal are composed of six parts; the present invention can solve the problem that the existing AEBS control parameters are single, which cannot meet the load change of commercial trucks, the change of adhesion coefficient of commercial vehicles in rainy and snowy weather, and the long-term wear and aging of the vehicle brake system. Single unchanging disadvantages. Provide drivers with more comfortable, safe and reliable early warning and emergency braking experience.

A high-pressure gas well wellhead sealing simulation device. It includes a power system, a feedback control unit and a gas leak detection unit. The power system includes a motor, a crankshaft connecting rod mechanism, a simulated pipe string and a blowout preventer rubber cartridge; the gas leak detection unit includes a gas storage tank, a supercharger, A gas detection sensor and an alarm; the feedback control unit includes a gas detection sensor, a controller for controlling the loading of a hydraulic pump, and a hydraulic pump for providing a loading for the blowout preventer. The device can not only simulate the wellhead sealing of high-pressure gas wells, but also provide early warning for gas leakage, and realize adaptive adjustment after gas leakage through detection and feedback. experimental research in the case.

The invention provides a vehicle fatigue driving warning method which is characterized by comprising the following steps: step A, an initial image is acquired, features are extracted, models are established, and timing is started; step B, an image of a driver is acquired; step C, when the driver meets the preset facial feature determining conditions and comparison between the current features and the feature models shows that the driver is not the registered one, the facial feature model and the fatigue feature model are reestablished, timing is restarted, and the method goes to step B, and when comparison between the current features and the feature models shows that the driver is the registered one or the driver does not meet the preset facial feature determining conditions, the method goes to step D; and step D, the current fatigue features are extracted, and alarm information is sent when the driving is judged to be fatigue driving according to the current fatigue features and the fatigue feature model, wherein alarm information is sent when the preset timing period is up. The advantage lies in that fatigue driving of drivers is judged comprehensively and fatigue driving warning is carried out more efficiently and reliably so as to ensure the safety of vehicle driving.

The invention relates to a power system online prewarning method based on microdisturbance signal low-frequency oscillation mode identification, which comprises the following steps of: carrying out measuring point low-frequency oscillation mode analysis and calculation on a single data window of a single measuring point by adopting a slide average autoregression model; calculating and obtaining acalculating result of a plurality of data windows of a plurality of measuring points by a cluster analysis tool and storing a total-network range low-frequency oscillation mode oscillation frequency and damping ratio result; and then judging whether prewarning information needs to be transmitted or not according to the prewarning threshold value condition and realizing matching with a large disturbance monitoring alarm way. The method of the invention can fully excavate oscillation mode identification contained in a plurality of actual measurement microdisturbance signals when a power system is run and provide online prewarning for system running. Meanwhile, the method of the invention realizes continuous monitoring on the low-frequency oscillation mode of the power system; and combined with a statistic analysis method, the method can be used for disclosing the low-frequency oscillation mechanism and influence factor of a large-scale practical power system.