39results about How to "Efficient early warning" patented technology

The invention discloses a cooperative vehicle infrastructure-based curve speed warning method, which comprises the following steps: putting a road side unit at a curve, broadcasting out curve information periodically, and judging whether a vehicle heads for the curve or not in advance by a vehicle terminal according to the information of the vehicle and the received curve information; giving out the distance to the curve and the speed-limit prompt of the curve in advance if the vehicle heads for the curve; giving out the speed-limit prompt of the curve and detecting whether the vehicle is overspeed or not in real time if the condition that the vehicle drives into the curve is detected, and giving out overspeed warning if the vehicle is overspeed to remind a driver of driving at a safety speed; relieving the warning when the condition that the vehicle puts off the curve is detected. According to the method, the limiting speed of the curve can be given out in advance, and the condition that the vehicle drives into the curve and puts off the curve can be efficiently and reliably judged; written or audio warning is given out when the vehicle is overspeed, and therefore, a selectable simple scheme is provided for the auxiliary driving safety application of Internet of vehicles.

The application relates to a method, a device, and a system for monitoring driving behavior, a vehicle and a storage medium. The method comprises the following steps: performing detection on video information which is collected in a vehicle to judge whether the current driving state of a driver is an abnormal driving state; wherein the detection comprises a distracted driving detection and a fatigue driving detection; and performing an early warning operation corresponding to the abnormal driving state if the current driving state is an abnormal driving state. The method for monitoring the driving behavior can realize all-round monitoring for the abnormal driving states of the fatigue driving state and the distracted driving state, and realizes a targeted and effective early warning by performing the early warning operation corresponding to the abnormal driving state, thereby reducing driving risk.

The invention provides an electromagnetic radiation detection device and method for potential fire danger of a mine and belongs to a fire detection device and method. According to the electromagnetic radiation detection device and method, electromagnetic radiation signals generated in the temperature rising or burning process of a coal body are detected and analyzed, and then the potential fire danger of the mine is detected. The detection device comprises a perpendicular directionally receiving antenna set and a monitoring host. The detection method includes the steps that the effective receiving direction of the perpendicular directionally receiving antenna set faces a detection area, the value and the main direction of electromagnetic radiation are measured and calculated; a crossed position of main directions of different measuring points is a potential fire danger area; it is judged that fire danger exists in the area according to the average value of electromagnetic radiation indexes in the potential danger area or a dynamic change trend of the electromagnetic radiation indexes in multiple measurements in a critical value mode and a dynamic change trend mode when the electromagnetic radiation indexes or the dynamic change trend exceeds a corresponding critical value. Through the electromagnetic radiation detection device and method, potential fire risks and the potential fire danger area can be detected in time and space; the electromagnetic radiation detection device and method have the advantages of being efficient, fast and convenient.

The embodiment of the invention discloses an early warning method for a logistics transportation vehicle, which comprises the following steps of: evaluating each influence factor influencing the logistics transportation safety in the vehicle operation process by utilizing an expert scoring method, obtaining a judgment matrix of the influence factors, and calculating an absolute weight vector of each influence factor based on an analytic hierarchy process; obtaining a secondary influence factor danger level fuzzy evaluation matrix and a corresponding absolute weight vector according to the analysis of the real-time condition of each influence factor, and calculating to obtain a fuzzy membership vector; according to each fuzzy membership vector, generating early warning level information based on a maximum membership principle, wherein the influence factors comprise a first-level influence factor and a second-level influence factor, and the first-level influence factor is the driving behavior of the driver, the vehicle performance, the road condition, the environmental factor or the type of the transported object, wherein the second-level influence factors are sub-evaluation factorsof the first-level influence factors. Early warning level information can be accurately and timely provided for a driver, and logistics transportation safety is improved.

The invention belongs to the field of access control of vault doors and particularly relates to a short message-authorized door opening alarm system for a vault door. The system comprises at least two door locks arranged on the vault door, wherein at least one of the door locks is connected with an authentication application device; and the authentication application device is connected with an authorization terminal through a signal. In the alarm system, the opening and closing situations of the vault door can be monitored through a short message and management personnel far away from the vault door field can receive an alarm signal in time and remotely control the monitoring functions, such as the opening or closing of the vault door lock as required.

The invention belongs to the technical field of food safety, and particularly relates to a multi-factor food safety risk comprehensive evaluation method. The method comprises the following steps: (1)determining a food full-chain process; (2) carrying out full-chain hierarchical treatment on the food; (3) determining food quality safety key control points; (4) identifying the types of risk factorsand measuring the content; (5) determining a key control point risk factor limit value; (6) calculating a relative risk index and a chain risk index; (7) determining an early warning coefficient; and(8) dividing risk levels. Different processing bodies, different processing nodes and related different materials in the food processing process are inspected, evaluation is more comprehensive. The early warning coefficient is determined, early warning in advance can be achieved, and the risk position and the risk magnitude are responded in time. According to the method, different food processingchains, different enterprises and different regions can be taken as the same benchmark for investigation according to specific requirements, and the method is convenient, rapid and efficient.

The invention discloses an expressway vehicle group operation risk state warning system. The expressway vehicle group operation risk state warning system includes a central processing unit, a wireless communication device, a loudspeaker, an intelligent watch and a display; the wireless communication device, the loudspeaker and the display are all connected with the central processing unit through cables; the central processing unit is used for obtaining processing information according to acquired vehicle information and driver information, wherein the processing information can indicate whether vehicles are in operation risk states; the wireless communication device includes an information receiving terminal and an information transmitting terminal; the intelligent watch is used for transmitting the acquired driver information to the central processing unit; and the loudspeaker and the display are used for broadcasting and displaying. The invention also discloses an expressway vehicle group operation risk state warning method. According to the expressway vehicle group operation risk state warning system and method of the invention, vehicle groups which are in operation risk states can be warned in advance scientifically and reasonably, and the rear-end and pile-up accidents of vehicles can be avoided. The expressway vehicle group operation risk state warning system and method are of great practical significance for reducing the safety accidents of expressways and improving the safety level of the expressways.

The invention discloses a security early-warning model based on a genetic wavelet neural-network. The model includes the following steps: 1) carrying out fuzzification of input data; 2) determining the layer number of the genetic wavelet neural-network and the node numbers of an input layer, an output layer and hidden layers; 3) carrying out information encoding; 4) carrying out population initialization; 5) carrying out fitness function calculation; 6) carrying out a selection operation; 7) carrying out a genetic operation; 8) selecting an optimal individual for decoding; 9) carrying out training according to parameters of the BP network set in the first step; 10) optimizing the wavelet neural-network; and 11) optimizing a genetic function. According to the security early-warning model ofthe invention, a structure of the wavelet neural-network is simpler, a convergence speed is higher, the neural network is enabled to have higher learning ability through using wavelet basis functionsas neurons of the neural network, precision is higher, immediate, highly-efficient, scientific, accurate and early warning on a chemical production system is realized, and chemical production accident appearing is avoided.

The invention discloses an early warning method and device for the epidemic disease propagation situation of foreign livestock and poultry. Specifically, the early warning method comprises the steps of obtaining quarantine data of foreign livestock and poultry, and obtaining feature data of a to-be-predicted epidemic disease based on the quarantine data; determining disease probability of the to-be-predicted epidemic disease of the foreign livestock and poultry according to the feature data of the to-be-predicted epidemic disease through a disease probability model, wherein the disease probability model is obtained by training the quarantine data of historical foreign livestock and poultry; based on a preset probability and the disease probability of the to-be-predicted epidemic disease ofthe foreign livestock and poultry, obtaining a group risk coefficient of the to-be-predicted epidemic disease of the same kind of foreign livestock and poultry; and determining a risk level of the whole batch of foreign livestock and poultry based on the feature data and the group risk coefficient of the to-be-predicted epidemic disease according to graded early warning conditions, determining anearly warning scheme according to the risk level, and pushing the early warning scheme. By means of the early warning method and device, effective prediction and early warning can be conducted on thespreading situation of foreign livestock and poultry epidemic diseases.

A community mountain disaster early warning device is disclosed by the present invention, and comprises a base station column and a monitoring rod arranged on a mountain, a central control module is arranged on the base station column, and the input end of the central control module is connected with a wireless receiving module, a monitoring module, a rainfall monitoring module, a river channel water level monitoring module and a picture editing comparison module. The output end of the central control module is connected with the display module, an alarm module and a voice broadcast module, adata processing module is arranged on the monitoring rod, the input end of the data processing module is connected with a data acquisition module and a power supply module connecting block, the outputend of the data processing module is connected with a wireless transmission module, and the wireless transmission module is connected with the wireless receiving module. The data acquisition module on the monitoring rod monitors the data of each aspect of the mountain body in real time, if the data is abnormal, the alarm module and the voice broadcast module give an alarm to prompt community people to evacuate quickly, and the device has the characteristics of intelligent, efficient and quick early warning of mountain disaster monitoring.

The invention discloses an online detecting device and a detecting method for integrity of a hollow fiber membrane module. A shading shell is internally provided with a laser transmission system, an optical detection system, a laser receiving system and a display alarm system; the laser transmission system comprises a first laser transmitter and a second laser transmitter; the optical detection system comprises a first optical detector and a second optical detector; the laser receiving system comprises a first signal receiver and a second signal receiver; the display alarm system comprises an alarm and a display; the alarm comprises a third variable resistor and a fourth variable resistor; the fourth variable resistor is connected with an LED (Light Emitting Diode) and a buzzer in parallel; the display comprises a display screen. According to the online detecting device disclosed by the invention, a photovoltaic conversion technology is flexibly used by utilizing the characteristics of good laser directivity, high brightness, strong monochromaticity, high energy density and the like, and the online detecting device has the characteristics of low cost and high sensitivity.

The invention discloses an automatic fire extinguishing device of a power battery system of a new energy automobile based on multi-source information detection and a control method. The automatic fireextinguishing device is internally provided with a controller, is connected to an integrated sensor to input data and is connected to an electromagnetic valve to output a command. The integrated sensor detects temperature data, gas data and smog data in a battery pack. The controller has two stage threshold values. When the thermorunaway state of a battery reaches the first stage threshold value,a manual alarm switch starts to alarm. When the thermorunaway state of the battery reaches the second stage threshold value, a general electromagnetic valve and thermorunaway corresponding branch electromagnetic valves are started. An extinguishant passes through a fire extinguishing bottle to extinguish a copper tube and arrives at a collector and a three-way valve and is finally conveyed to thebattery pack through a fire extinguishing pipe. The automatic fire extinguishing device has the advantages of high thermorunaway pre-judging precision, long-term early warning and efficient control.

The invention relates to a safe early-warning system for a train station platform, and belongs to the field of safe early warning. The safe early-warning system involves automatic lifting rods arranged inside a waiting area, and an image acquisition device arranged at the edge of the waiting area, wherein the waiting area is arranged on the side edge of a train rail, and infrared emitters and infrared sensors are arranged on the automatic lifting rods; and the infrared emitters, the infrared sensors, the automatic lifting rods and the image acquisition device are in wireless signal connectionon a remote system platform. The front ends of the infrared emitters, the infrared sensors and the image acquisition device are adopted, the scheme of the remote system platform is combined, and a worker can know the situation of the safe area of the waiting area through the remote system platform, so that efficient early warning is carried out.

The invention belongs to the technical field of vehicle engineering, and discloses a vehicle-mounted power supply monitoring device, which comprises a power supply detection controller module, an output control module, a fault indication module, an Internet of Things communication module and a cloud diagnosis server, wherein the power supply detection controller module detects detection parametersincluding working parameters of a vehicle-mounted power supply, environmental parameters of the vehicle-mounted power supply and running state parameters of a vehicle in real time and sends a vehicle-mounted power supply on-off control signal, the output control module is connected with the power supply monitoring controller module, the fault indication module is connected with the power supply detection controller module, the cloud diagnosis server is connected with the power supply detection controller module through the Internet of Things communication module, and the cloud diagnosis server performs data classification and combination on the detection data according to modes of different devices at the same time and the same device at different times, and performs outlier detection byadopting a clustering analysis method to determine the vehicle-mounted power supply with safety risks. The vehicle-mounted power supply monitoring device provided by the invention can realize high-timeliness fault detection.

The invention discloses an enterprise intellectual property safety risk early warning method and a management system, and the method comprises the steps that enterprise intellectual property information and contents are digitalized, and the digitalized information is input into the management system; a retrieval program is pre-installed in the management system, and enterprise intellectual property information and content are compared; through the preprocessing of the early warning method, the intellectual property information of the enterprise can be well retrieved, the early warning capability of the intellectual property of the enterprise is better, the management and control of the risk of the intellectual property of different enterprises can be met, and the early warning can be more efficient.

The invention discloses a smog monitoring and early warning broadcasting machine which includes a solar photovoltaic panel and a pillar. The broadcasting machine is characterized in that: the top part of the pillar is connected to the solar photovoltaic panel. The middle position of the pillar is provided with an early warning broadcasting machine. One side on the upper part of the pillar is connected to a smog detector through a connecting lever. The other side on the upper part of the pillar is connected to a smog collector through the connecting lever. The connecting lever is provided with a monitor thereabove. The bottom part of the smog collector is connected to a storage box through a collecting pipeline. The interior of the pillar is provided with a battery and a control circuit board. The control circuit board is separately connected to the battery, the solar photovoltaic panel, the smog detector, the smog collector and the early warning broadcasting machine. According to the invention, the smog monitoring and early warning broadcasting machine has the advantages of effective monitoring smog, excellent provision of smog early warning, and capability of collecting smog. The smog monitoring and early warning broadcasting machine has simple operation, easy mastering, low cost, easy popularization, easy promotion, easy industrial production, and easy marketization.

The invention discloses a wind and solar complementary natural disaster early warning broadcasting machine which includes a windmill, a solar photovoltaic panel, and a pillar. The top part of the pillar is connected to the windmill. The two sides of the upper part of the pillar are connected to the solar photovoltaic panel through a support rack. A connecting pole is arranged on the pillar and below the support rack. The connecting pole has one end connected to the pillar and the other end connected to a haze monitor. The middle part of the pillar is provided with an early warning broadcasting machine. The upper part of the pillar is provided with a sensor. An alarm button is disposed on the pillar and below the early warning broadcasting machine. The bottom part of the pillar is provided with a detecting valve. The interior of the pillar is provided with a control circuit board, a battery and a power generation apparatus. The control circuit board is separately connected to the battery, the power generation apparatus, the solar photovoltaic panel, the haze monitor, the early warning broadcasting machine, the sensor and the early warning button. The power generation apparatus is connected to the windmill. According to the invention, the broadcasting machine has the advantages of energy conservation and environmental protection, better early warning of haze, and better early warning of natural disasters, etc..