777results about How to "Good warning" patented technology

A method for changing a light emission of at least one headlight of a vehicle. The method includes reading in a position signal which represents a position of the object in front of or alongside the vehicle. The method also includes changing the light emission from at least one headlight of the vehicle onto the object or into the surroundings of the object, using the position signal. For the change, a changing illumination pattern is emitted onto the object or into the surroundings of the object in order to change the light emission of the at least one headlight of the vehicle.

The invention discloses an intelligent lift speed reducing belt, comprising a speed reducing pad. A long strip hole is formed in the middle of the speed reducing pad along a length direction, a lift module is arranged in the long strip hole, the cross section of the upper surface of the lift module is of an arc structure, and a lift control device is in transmission connection with the lower part of the lift module. The intelligent lift speed reducing belt is novel in design, simple in structure, high in practicality and easy to promote and apply, is used for correspondingly reducing the speed of a vehicle according to the running speed of the vehicle and particularly and strictly reducing the speed of the vehicle in allusion to the vehicle running at high speed, and has a good effect of warning a driver.

The invention provides a fine vehicle type identification and flow statistics method based on deep learning and trajectory tracking. The method comprises the steps of obtaining vehicle images and establishing a sample set; Marking the position and type of the vehicle, the position of the wheel and the type information of the wheel in each picture; According to the vehicle images in the sample setand the corresponding annotation information, training an established deep learning model; Utilizing the deep learning model to predict the position and type of the vehicle, the position of the wheeland the type information of the wheel in the image; Estimating the actual length and height of the vehicle and the number of side wheels in the video according to the pinhole imaging model, and performing fine classification on the vehicle type; And obtaining a motion track of each vehicle in the video by utilizing a tracking and matching algorithm, and counting the flow of different types of vehicles according to the motion tracks.

A video security system and method for monitoring active environments that detects a security-relevant breach of a virtual perimeter and can track a virtual perimeter breaching object to detect risk-relevant behavior of persons and objects such as loitering and parking, and provides fast and accurate alerts. The system is able to achieve advance alerts by monitoring an extended virtual perimeter. The image processing module of the system employs a deep learning neural network (DNN) for fast image processing. The system can further increase speed by reducing the image data that is being processed to data extracted from one or more reduced data sources including virtual perimeter zones, a delta of a series of image frames, and a representative image frame of a series of frames.

The invention relates to a power system state estimator applicable to a wide area measurement system in the technical field of operation and control of power systems. The power system state estimator comprises a data fusion module, a system identification module, a transient stability control module and a security evaluation module, wherein the data fusion module only stores 'key' data which reflect electric network characteristics and meet measurement accuracy; the system identification module modifies system parameters and data, and an output of the system identification module is connected with the transient stability control module; the transient stability control module sends processed data into the security evaluation module and performs security evaluation on the system; and the security evaluation module finally outputs important information. The power system state estimator can realize the fusion, real-time state estimation and analytical evaluation for mass data, ensure the safe and stable operation of the system, and can also improve the accuracy of state estimation by identifying electric network parameters and processing bad data at the same time; and the power system state estimator can provide good application interfaces and alarm prompts, and effectively play roles in electric network dynamic early warning and accident treatment of the system.

A turn signal light includes a circuit board, on which a plurality of light-emitting diodes are mounted to serve as light sources of the turn signal light, and an intermediate board located in front of the circuit board and provided with a plurality of reducing openings to each enclose one light-emitting diode, and a lens provided at an inner side with a plurality of raised areas. Light beams emitted from the light-emitting diodes are reflected at the reducing openings and refracted by the raised areas of the lens to provide diffused light and enhanced illuminating effect.

The invention relates to an attention device, in particular to a traffic attention device for an expressway. The traffic attention device for the expressway achieves the technical purposes that the attention effect is good, the attention device is marked, and the attention of people is easily aroused. In order to achieve the technical purposes, the traffic attention device for the expressway comprises a base and the like. A fixing plate is vertically arranged on the top of the base, a lifting device is arranged on the left side of the top of the base, and a reminding device is arranged on the front side of the right portion of the fixing plate. The traffic attention device achieves the effects that the attention effect is good, the attention device is marked, and the attention of people is easily aroused.

A wireless remote digital electrocardiographic monitor system is composed of a portable electrocardiac signal acquiring, displaying and transmitting derminal connected with Internet via digital cellular mobile communication network and a remote monitor center connected to Internet for receiving, analyzing, displaying and storing data.

The invention relates to an early warning method based on rule engine and intelligent prediction. The method comprises steps as follows: various monitoring data sensing gateways wirelessly upload monitoring data to an early warning analyzer, the early warning analyzer analyzes the monitoring data in combination with two modes and finally judges whether the monitoring data meet the early warning condition or not, and the early warning analyzer judges whether early warning is performed or not according to an early warning rule which is analyzed by a rule engine and flexibly configured by a user or according to current monitoring data and future monitoring data predicted from historical data with a neutral network method in combination with the early warning rule or according to historical monitoring data and historical early warning data trained models. Early warning is performed timely if the early warning analyzer gives an early warning. The method is used for solving problems that existing early warning rules in all industries are diversified and complex to manually maintain, heavier in workload, low in early warning timeliness and short in handling and protection time.

The embodiment of the invention discloses an on-board battery failure early warning system based on Internet of Vehicles. An Internet of Vehicles OBD terminal acquires voltage information of the on-board battery, and the voltage information is transmitted to an Internet of Vehicles server; the Internet of Vehicles server stores the received voltage information and the time for receiving the voltage information; and according to a preset algorithm, the voltage information and the time for receiving the voltage information, whether the on-board battery fails is judged, and when the on-board battery is judged to fail, early warning information is transmitted to a user terminal. The embodiment of the invention also discloses an on-board battery failure early warning method based on the Internet of Vehicles.

The invention discloses a video-processing-based crowd density and distribution estimation method, which belongs to the technical field of computer video processing and is particularly suitable for a flowing crowd with a high/medium density grade. The method comprises the following steps of: detecting sparse characteristic points by utilizing a three-dimensional Hessian matrix; performing dynamic texture extraction based on a time-space local binary pattern; performing spectral analysis based on Fourier transform; estimating overall crowd density based on a support vector machine; and mapping a frequency value to a jet color map, and performing Gaussian smoothing to obtain displayed spectrum-based local crowd density. Sparse time-space local binary dynamic texture characteristics of an image are extracted, and video time-space characteristics are extracted based on the symmetry of a time-space domain, so that robustness is improved, a calculated amount is decreased, and the method is suitable for the estimation of a large-scale moving crowd.

The invention discloses a CTF on-line game platform dynamic Flag processing method and device. The method comprises the steps of generating a dynamic Flag and storing the dynamic Flag when a requirement that a user visits a question is received, wherein the dynamic Flag generated when different users visit the same question and the dynamic Flag generated when the same user visits different questions are different; using the generated dynamic Flag to replace information in an original question, and generating a new question to return to the user; when the Flag submitted by the user is received, comparing the received Flag with the stored Flag to judge whether the Flag submitted by the user is right or not. Compared with the prior art, according to the CTF on-line game platform dynamic Flag processing method and device, behaviors that a player interacts with the Flag and obtains the Flag of others can be effectively reduced, the player is better focused on the question itself, abandons the fantasy that the Flag is obtained through other non-question-solving paths, and can further find a cheating behavior of the player which possibly exists, which facilitates operation of warning, shielding, releasing and the like for the cheating players.

Methods and apparatus for automotive vehicles respond to earthquake warnings to provide occupant awareness of potential hazards while taking autonomous actions such as slowing the vehicle, navigating to a safe location, and providing safety advice. Data gathered by the vehicle can be sent wirelessly to a remote center for coordinating emergency response using the data. The vehicle preferably comprises a powertrain, a plurality of vehicle accessory systems, and an emergency management controller. The controller is adapted to receive an earthquake warning message. The controller responds to the warning message by providing a power conservation command to at least one accessory system to reduce power consumption by at least one respective noncritical accessory function. In addition, it evaluates a vehicle mobility status and automatically launches a corresponding safety measure.

The present invention relates to the technical field of computers, and provides a data control method and device, a computer device and a storage medium. The method comprises the steps of: obtaining data to be accessed in a target interface access request, according to a token bucket algorithm, calculating target access data which are allowed to access by the target interface, recording actual flow data when the target access data passes through the target interface, comparing the actual value of each flow parameter of the actual flow data with a standard value, marking the flow parameter withthe actual value being larger than or equal to the standard value and a predicted value, and if the difference is larger than a preset target threshold value, determining safety flow data corresponding to the difference as abnormal flow data. The data control method and device, the computer device and the storage medium can be improved in the detection accuracy of the abnormal flow data.

The invention discloses an abnormal traffic monitoring method based on statistics, which comprises the following steps: collecting user access log records in a preset time period, and carrying out cleaning and transformation processing to generate standard user access data; counting the distribution of statistical characteristics corresponding to the standard user access data in different time dimensions; mapping the distribution of the statistical characteristics on different time dimensions into corresponding multivariate Gaussian distribution and respectively performing parameter estimation; calculating Gaussian distribution probability values respectively corresponding to the statistical characteristics corresponding to the current network flow in each time dimension; judging whether the Gaussian distribution probability value is smaller than a preset alarm threshold value of the current network flow in the time dimension or not; If so, judging that the current network traffic is abnormal traffic. The invention further discloses an abnormal flow monitoring device and equipment based on statistics and a storage medium. The method is easy to deploy and low in implementation cost,and can flexibly respond to abnormal flow real-time alarms of different service scenes in different time periods.

The invention relates in particular to a method and a system for monitoring a graphical interface in a computer system of an aircraft cockpit. The method comprises, in addition to the display of a graphical interface of a client application based on a tree structure of graphical interaction objects composing said graphical interface, the following steps: obtaining a plurality of graphical interaction objects having a tree-structure organization; creating and adding, to said obtained tree structure, at least one new graphical interaction object defining a critical graphical display zone; modifying the tree-structure dependency of at least one critical graphical interaction object, of the obtained tree structure to make it dependent from the new graphical interaction object defining the critical zone; and performing critical monitoring only of the critical graphical objects attached to the critical zone.

The invention belongs to the intelligent traffic management technical field and relates to an Internet-of-things intelligent traffic law violation management device. The main body structure of the Internet-of-things intelligent traffic law violation management device comprises a video monitoring unit, a speed detection unit, a law violation management unit, an information editing and broadcasting unit, a storage unit, an information distribution unit and a voice broadcasting unit, wherein each unit has independent unit functions, and the units are in electric information communication with one another so as to form the Internet-of-things intelligent traffic law violation management device used for managing traffic law violation behaviors. The management method of the Internet-of-things intelligent traffic law violation management device includes the steps of law violation information acquisition, law violation information processing, law violation information editing and broadcasting and law violation information distribution. According to the Internet-of-things intelligent traffic law violation management device, law violation behaviors of traffic participants can be processed intelligently and distributed timely based on the functions of the Internet of things, and the occurrence rate of traffic law violation behaviors and traffic accidents can be decreased, and the smoothness of traffic intersections can be improved, and intelligent management of traffic accident prevention can be realized. The Internet-of-things intelligent traffic law violation management device has the advantages of simple structure, scientific and reliable principle, easiness in operation and control, excellent warning and intimidating effects, friendly use environment and wide application prospect.

A multifunctional police helmet comprises a helmet shell, a control main board, a battery box, a rechargeable battery, a protective shell, a camera, a GPS (global positioning system) module, an LED warning light, a speech module, a monocular augmented reality display, touch buttons, a wireless communication module, vent holes, a protective cover, a jaw strap, and a neck protective pad. The multifunctional police helmet has the advantages that the helmet is light in weight and comfortable to wear, and can provide comprehensive protection and additional releasable warmth measures, police officers are not limited to distances, real-time communication and continuous positon service can be provided, solutions are provided for police force coordination and scheduling, and direct intelligent scheduling is available when necessary since the helmet is connected to the internet of things, cloud and a command center.

The invention relates to a traffic warning sign, in particular to an easy-to-adjust traffic warning sign. The technical problem to be solved by the present invention is to provide an adjustable traffic warning sign with convenient height and angle adjustment, good warning effect, simple moving and installation process. In order to solve the above technical problems, the present invention provides such an easy-to-adjust traffic warning sign, which includes a base, etc.; The holding device is equipped with a fixed rod on the right side of the clamping device, and a warning sign is arranged on the fixed rod. The invention achieves the effects of convenient height and angle adjustment, good warning effect, and simple moving and installation process.

The invention discloses an online monitoring intelligent early warning system for coal mine water burst. The online monitoring intelligent early warning system comprises a workstation host computer, an acoustic-optical early warning device, a transducer, and an integrated intelligent water quality sensor monitoring box, wherein the monitoring box comprises a barrel body, a plurality of water quality sensors, filter screens arranged at the two ends of the barrel body, an upper steady flow plate, a lower steady flow plate and a plurality of rows of split steady flow plates; the upper steady flow plate and the lower steady flow plate are mounted in the barrel body, transversely arranged, and extend to the filter screens at the two ends of the barrel body; the split steady flow plates are mounted in the barrel body, longitudinally arranged, and extend to the filter screens at the two ends of the barrel body; a plurality of flow guiding holes are formed in the upper steady flow plate, the lower steady flow plate and the rows of split steady flow plates; the rows of split steady flow plates are arranged between the upper steady flow plate and the lower steady flow plate; each row of the split steady flow plates comprises left-section plates and right-section plates; the left-section plates and the right-section plates are disconnected and communicated with the cavity, between the upper steady flow plate and the lower steady flow plate, of the barrel body. The online monitoring intelligent early warning system can effectively and quickly detect the water quality in the underground in-advance water detection process, and can carry out early warning in advance on the conventional water burst situation.

The invention discloses a safety fence system special for transformer substation gas insulated metal-enclosed switchgears. The safety fence system comprises a safety fence body which comprises support rods, support frames, an extension-type railing and magnetic suction cups; the support frames are fixed to the lower ends of the support rods, multiple insertion holes are evenly distributed on the periphery of each support frame, the extension-type railing is movably connected with the support frames through the insertion holes, the extension-type railing is provided with railing clamps, and the magnetic suction cups are fixed on the railing clamps; transformer substation gas insulated metal-enclosed switchgear hooking loop covers are fixed on the support rods and hooked on sleeves of the transformer substation gas insulated metal-enclosed switchgears. The safety fence system further comprises an image gathering module which is arranged on the safety fence body and used for gathering images around the safety fence body within a certain distance and transmitting the images to a controller. By means of the safety fence system special for the transformer substation gas insulated metal-enclosed switchgears, a safety fence has an active prompt function under the environment that light rays at night are insufficient, and the safety of operating personnel and the switchgears is beneficially guaranteed.

The invention relates to the technical field of road traffic ancillary facilities, in particular to a visual guidance system for curved sections of long and large bridges on expressways. The visual guidance system for the curved sections of long and large bridges on the expressways comprises curved section indication signs, linear guidance marks, yellow and black elevation marks, arrow marks, outline marks, cat eye track spikes, yellow concussion marks and double-white solid lines. The curved section indication signs are arranged at the positions, near the curved sections. The linear guidancemarks are arranged on bend guardrails on the outer side of the curved sections. The yellow and black elevation marks are arranged on the guardrails which are located on the two sides of the curved sections. The arrow marks are arranged on the road surface of the curved sections. The outline marks are arranged on the lower edges of the guardrails which are located on the two sides of the curved sections. The cat eye track spikes are arranged the side lines of the roads which are located on both sides of the curved sections. The yellow concussion marks are arranged on the outer sides of the sidelines of the roads which are located on both sides of the curved sections. The double-white solid lines are arranged on the middle lines of the roads of the curved sections.