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.

A system for pre-warning of typhoon risks of overhead transmission lines of a grid comprises a typhoon live information presentation module and a typhoon forecasting information module, wherein the typhoon live information presentation module and the typhoon forecasting information module are externally connected with a weather bureau through a data private network provided with firewalls respectively; relevant data coming from the weather bureau are received when a typhoon crosses a 24-hour warning line of a sea; the used data are selected and calculated by the typhoon forecasting information module, and are calculated by a pre-warning data analysis module; and finally, the data are transmitted to a typhoon risk pre-warning module of the grid for comprehensive data processing, and a risk line set and pre-warning grades of the risk line set are output to the presentation module through judgment of the comparison between the wind speed and the designed wind speed. The invention further comprises a method for pre-warning of typhoon risks of overhead transmission lines of the grid by using the system. The system and the method are applicable to an electrical power system universally, in particular, power transmission and distribution networks in coastal areas, so that capacity of the grid for adapting to meteorological disasters which occur frequently day by day is improved; the trip-out rate of lines under a typhoon environment is reduced, and the safe and stable power supply of power transmission and distribution line channels is guaranteed.

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 provides a vehicle side-turning-preventing method and device, a storage medium and a vehicle. The vehicle side-turning-preventing method comprises the steps that the vehicle body side turning state parameters are collected; according to the collected vehicle body side turning state parameters and the preset load transferring rate threshold value model of centrifugal force side turning torque comprising sprung mass, the transverse load transferring rate of the vehicle is calculated; according to the calculated transverse load transferring rate and the preset side turning thresholdvalue, whether the side turning risk occurs to the vehicle is judged. According to the provided technical scheme, the load transferring rate threshold value model of the centrifugal force side turning torque based on the sprung mass is closer to the real vehicle side turning state, the state indication function is more accurate, and the early warning accuracy is high.

The invention provides a leakage monitoring and positioning early-warning system in petrochemical industry and an establishment method thereof, relating to a device for prevention, inspection and position determination of gas leakage. The system comprises a host computer system, a central node, a routing node and a terminal node, wherein the software part in the host computer system comprises a geographic information system and a virtual reality control system; all the nodes are wireless network nodes comprising a ZigBee wireless module, a sensor module and a power supply module; and the ZigBee wireless module adopts a ZigBee wireless transport protocol, the sensor module carries a small leakage gas-sensitive transducer, and the power supply module is composed of a direct current cell of 3.6 V and a voltage conversion circuit. The invention achieves the synchronization of environment parameters of all monitoring points, early-warning information of potential accidents and correct positioning information of dangerous sources when an accident occurs in a monitoring center and the whole site, and the invention solves the problems that sudden leakage events can not be monitored and early-warned in time and the site information can not be acquired and transmitted in time in the prior art.

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 present invention discloses an oil drilling engineering accident early warning system based on a hierarchy fuzzy system. First, a stimulant database for oil drilling engineering accident early warning is created; second, an input variable for oil drilling engineering accident early warning; third, the characteristic information of input signals is analyzed; fourth, a structural model of the hierarchy fuzzy system is created; fifth, an interval mapping and a hierarchy fuzzy reasoning of a unified model are done for the input variable in the third step; sixth, the output quantity of the oil drilling engineering accident early warning system is confirmed; seventh, the self-adjustment of the early warning result is done. The present invention has the advantages that the hierarchy fuzzy system is used to translate the excessive physical variable in the oil drilling engineering accident early warning system into a hierarchy system formed by connecting hierarchically with a reduced dimensionality fuzzy unit, and make the regular number of the fuzzy system increase with the number of the input variable linearly, thereby putting an end to the phenomenal of dimension calamity, and realizing the purpose of early warning for the oil drilling engineering accident accurately, efficiently and conveniently.

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 relates to an environment-friendly reflective coating, and belongs to the technical field of coatings. The coating is prepared from the following components in percentage by weight: 10-20% of rosin resin, 9-20% of an acrylic emulsion, 2-8% of an organic pigment, 2-4% of water-based color concentrate, 30-60% of reflective glass beads, 1-2% of a defoamer, 2-3% of a plant insect prevention bacteriostatic agent, 2-5% of ethanol and 10-20% of water. The fineness of the reflective glass beads is 400-450 meshes. The environment-friendly reflective coating has good waterproofness and washability, and is bright and lasting in color, high in reflective rate, non-poisonous, environment-friendly and safe to use.

The invention discloses a multifunctional intelligent safety cap early-warning system and method, and the system comprises a safety cap, a sensor module, an RFID tag module, an RFID reader, a Bluetooth transmission module, a vibrator, a power module, a cellphone client, and a project department data analysis platform. The sensor module and the vibrator are connected with the Bluetooth transmission module, and the power module is connected with the sensor module, the vibrator, the RFID tag module and the Bluetooth transmission module. The sensor module comprises a pulse sensor, a body temperature sensor, an acceleration sensor and a gyro sensor, timely obtains the physiological status of a human body, transmits the information to the cellphone client for processing through the Bluetooth transmission module, and then enables the project department data analysis platform to send an activation instruction to the vibrator, so as to carry out anti-fall early warning. Through the arrangement of an active RFID tag and the arrangement of an RFID reader on a construction site, the system achieves functions of person recognition and positioning. The system enables a plurality of functions to be integrated in a common safety cap, is convenient to use, is accurate in early warning, and is good in market prospect.

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 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 coalmine stoping roadway impact ground pressure pre-warning method. The method includes following steps: calculating dynamic breaking stress exponent of a coal body; after mounting a radio frequency emitter in each of a sensitive pressure sensor, a pore water pressure gauge and a top plate dynamic instrument needing to be used, mounting in a roadway according to set threshold value and requirements, and connecting sensor signals with a data collection processor through the radio frequency emitter; setting up a three-dimensional generation module, and connecting the data collection processor with the three-dimensional generation module. Redundant and complementary information among the sensors is combined according to rules, monitoring of coalmine stoping roadway impact and giving of a safety alarm are realized, working efficiency of managers is improved, safety of roadway construction is enhanced, and pre-warning effect is obvious; roadway conditions can be presented to working personnel through the three-dimensional generation module, so that the working personnel can observe changing of the roadway immersively and pre-warning effect is further improved.

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.

The invention relates to a digital photography-based agglomerate fog real time early warning system and method. The system comprises a CCD (charge coupled device) camera, an AD (analog to digital) converter, a digital image processor, an SDRAM (synchronous dynamic random access memory), a 3G (3rd generation telecommunication) communication module, a first zigbee module, a second zigbee module, an information publishing controller, an LED (light-emitting diode) display screen and a temperature detection device, wherein the AD converter is respectively connected with the CCD camera and the digital image processor which is respectively connected with the SDRAM, the 3G communication module, the first zigbee module and the temperature detection device, the second and first zigbee modules perform data transmission by a wireless network, and the information publishing controller is respectively connected with the second zigbee module and the LED display screen. The digital photography-based agglomerate fog real time early warning system and method overcome the defects of complex structure, expensive cost, information collection difficulty, not obvious warning effect and the like of a traditional agglomerate fog early warning system, and the system has good upgradability and maintainability.