1362results about How to "Reduce property damage" patented technology

There is provided a method for an insurance auditor to derive an insurance premium comprising the steps of obtaining system parameters of a premise alarm system of a premise, and deriving the insurance premium by using the system parameters in a multi-variable function.

The invention discloses an automobile intelligent speed limiting system and an automobile speed limiting method, and relates to the technical field of automobile safety driving assistance. The automobile intelligent speed limiting system and the automobile speed limiting method can improve accuracy of speed limiting identification recognition and improve driving safety of a driver. The automobile intelligent speed limiting system comprises a camera, an intelligent navigation device, an automobile body sensor and a controller, wherein the camera can recognize road traffic identification boards and extract road traffic identification information through the image processing technology, the intelligent navigation device can provide current road information, navigation route information and national or regional traffic road speed limiting law related information in real time, the automobile body sensor can provide automobile body information in real time, a traffic speed limiting identification database is set up in the controller, the input end of the controller is connected with the camera, the intelligent navigation device and the automobile body sensor, and the output end of the controller is connected with an automobile instrument and an engine ECU. The automobile intelligent speed limiting system is used for assisting in limiting the speed of the automobile.

The invention relates to a monitoring and prewarning system and a monitoring and prewarning method for geological disasters. The monitoring and prewarning system for the geological disasters comprises a plurality of global navigation satellite system (GNSS) monitoring stations 1, a continuous operational reference system (CORS) 2, a 3rd-generation (3G) wireless network or wireless bridge 3, a microwave communication system 4, a monitoring and prewarning server 5, a monitoring and prewarning central computer 6 and the like which are arranged in a monitored area. Each GNSS monitoring station 1 comprises a global positioning system (GPS) receiver 11, a 3G network transmission component 12, video monitoring equipment 13, a microwave communication transmission component 14, a power supply 15 and the like. In the method, the aims of forecasting and prewarning possibly initiated geological disasters automatically in real time can be fulfilled by setting the GNSS monitoring stations in areas liable to the geological disasters, monitoring ground surface displacement in real time by the CORS, performing real-time ground surface displacement monitoring on the geological disasters, such as collapse, landslide, debris flow, surface collapse, subsidence, ground fissure and the like, which can be caused by ground surface displacement, combining remote video monitoring, performing data processing on monitoring information, and automatically issuing prewarning information.

The invention discloses a wisdom skynet video behavior analyzing system which comprises a plurality of front end video collecting systems and a central monitoring system. The central monitoring system comprises a plurality of video behavior analyzing servers, a storage server, a monitoring server and a client side, wherein each video behavior analyzing server receives video information of one front end video collecting system respectively, automatically analyzes all kinds of exception behaviors by the adoption of an advanced image analyzing processing technology, a computer vision technology, a computer network technology and an artificial intelligent technology and generates alarming signals, the video behavior analyzing servers are respectively connected with the storage server, the monitoring sever and the client end through an interchanger, and the monitoring server is further connected with a third party alarm linkage server. The wisdom skynet video behavior analyzing system is provided with multiple detection modules, users can selectively install certain modules according to actual needs, installation is convenient, the operation is simple, and video behavior analysis can be carried out automatically. A distribution type structure is adopted by the wisdom skynet video behavior analyzing system, and data transmitting and processing speed can be improved.

The invention relates to a rat infestation intelligent monitoring system and method based on a cloud server. The system comprises a thermal infrared camera equipment, an intelligent terminal and a cloud server connected in order; the thermal infrared camera equipment monitors motion trails of the rate by using thermal infrared sensing technology and the camera technology and sends the monitored video frame to an intelligent terminal; the intelligent terminal judges a mobile object, records the current video frame and marks the motion trails, and transmits the video clip with the motion trailsto the cloud server; the cloud server identifies the mobile rate and saves the current video clip, and marks the rat location and the motion trails in the current video clip, and then performs the data summary analysis processing to obtain the related parameter information about the rat activity so as to realize the rat infestation intelligent monitoring. The system performs rough identification through the intelligent terminal and finely identifies the mobile rate in cooperation with the cloud server, the rat infestation intelligent monitoring is realized, the rat infestation can be discovered and controlled as early as possible, the unnecessary loss is reduced, the manual cost is lowered, and the monitoring efficiency is improved.

The invention discloses a neural network and fuzzy control fused electrical fire intelligent alarm method. The method comprises the following steps of: 1, acquiring a leakage current signal, current and voltage signals, an arc light signal, a temperature signal and a field electromagnetic environment parameter signal by using a sensor on site, and pre-processing signals acquired by the sensor by using a velocity detection algorithm; 2, transmitting processed data to a three-layer feedforward error counterpropagation neural network and processing, wherein the neural network is subjected to supervised learning and establishes a weight matrix in advance; and 3, transmitting electrical circuit undamage probability, electrical circuit damage probability, and electrical circuit fire probability output by the neural network to a fuzzy inference module and performing fuzzy inference to acquire a forecast result of electrical fire. In the method, the probability of the electrical fire is accurately forecast by using the advantages of advanced theories, such as neural network, fuzzy control and the like, and without depending on deep knowledge of an object, the electrical fire forecasting accuracy is obviously improved and the damage of the electrical fire can be effectively prevented and reduced.

The invention discloses a fire-resistant silicon rubber, which is prepared by the following raw materials by weight: 100 parts of silicon rubber, 0.1 to 3 parts of hydrogen-containing silicone oil, 2 to 15 parts of hydroxy silicone oil, 10 to 30 parts of pyrogenic silica, 10 to 30 parts of silicon epitaxy material, 20 to 50 parts of nanomontmorillonite, 10 to 30 parts of silicon carbide, 1 part of vulcanizing agent and less than 50 ppm of platinum compound calculating at the platinum quantity compared with the silicon rubber. The invention also provides a preparation method of the silicon rubber and a fire-resistant cable prepared with the silicon rubber. The fire-resistant silicon rubber has the performances such as stable fire resistance and good insulation performance, and has simple preparation method. The cable which is prepared with the fire-resistant silicon rubber has simple structure and convenient process. Particularly the reliability of the fire-resistant cable can be greatly improved.

The invention provides an automobile multielement driving safety protection method and equipment special for the automobile multielement driving safety protection method. The method comprises the steps that the face information and pulse information of a driver are collected, an empirical mode decomposition scheduling algorithm based on information entropy is applied, characteristic quantities capable of effectively reflecting the angry feelings, the fatigue states and the identity information of a human body in the face information and the pulse information are extracted, and the characteristic parameters of various types are combined through an intelligent algorithm so that the angry feelings, the fatigue states and the identity information of the driver can be accurately recognized. The equipment special for the method is achieved based on a DSP, Bluetooth wireless communication and other technologies, and when the device detects the abnormal feeling or driving fatigue or identity changing and other states of the driver, the driving behavior of the driver is interfered through alarming prompts, background recording and other modes, and then the driving safety of the driver is protected from multiple aspects.

The invention relates to an automobile anti-collision alarm system based on pulse laser ranging, which belongs to the technical field of electronics, which is provided with a control circuit, a laser transmitting circuit, a laser receiving amplifier circuit and relevant circuits. A single chip microcomputer STC12C5A60S2 is the core of the control circuit, after laser pulse signals are in spectral processing by a spectroscope with the support of corresponding programs, one channel of the laser pulse signals is reflected by a reflector to be directly received by a PIN receiving circuit, another channel of the pulse laser signals is reflected by an automobile ahead, and then is received by the APD (avalanche photo diode) laser receiving circuit, after receiving time of each of the channels of the laser pulse signals is accurately corrected by a discriminator circuit, the channels of the laser pulse signals are transmitted to the single chip microcomputer master control circuit to be processed, the distance from an automobile with the automobile anti-collision alarm system and the automobile ahead is monitored in real time, and the system can give a sound and light alarm when the automobile is in danger, simultaneously reminds a driver of controlling automobile speed in a voice manner and keeping the distance from the automobile to the automobile ahead. In addition, when necessary, the system outputs brake signals to control the automobile to brake. Besides, the automobile anti-collision alarm system is large in measurement range, high in directivity, interference resistance, precision and practicality, fast in response time and simple in structure, and has high economic benefit and social benefit.

The invention provides an urban rail transit emergency passenger flow space-time distribution prediction method, which comprises the steps of analyzing historical emergency driving organization adjustment measures based on historical data, and mining passenger flow space-time distribution rules, influence ranges and passenger selection behaviors of historical emergencies; based on the AFC real-time card swiping data, predicting OD distribution under emergencies by using a space-time correlation prediction model in combination with a mining result of historical data; performing real-time adjustment and deduction on the train timetable under the emergency according to an analysis result of historical emergency driving organization adjustment measures, and updating an effective path of the track; and realizing rail transit passenger flow space-time distribution state prediction under different emergency scenes by combining the rail effective path updating result and the OD distribution prediction result under the emergency and based on a multipath probability distribution model. According to the method, the passenger flow distribution condition of the rail transit road network under the emergency situation can be accurately mastered in real time.

The invention discloses a safety data acquisition and anomaly detection method and system facing an industrial control network. The safety data acquisition and anomaly detection method comprises two parts: safety data acquisition and anomaly detection, wherein for the safety data acquisition part, the multi-layer and multi-type of safety data in the industrial control network is acquired based on an elastic acquisition strategy, and a safety message with a unified format is formed; and for the anomaly detection part, the safety message is analyzed and anomaly of asset allocation in the industrial control network is discovered through detection by means of configuration of a baseline, and anomaly of the operation behavior in the industrial control network is discovered through control and operation of consistency detection. The safety data acquisition and anomaly detection method and system face the industrial control network, and can improve the capability of the industrial control network of opposing APT attack, on the basis of guaranteeing the availability and reliability of the industrial control network.

The invention relates to a traffic signal coordination control optimization method for an emergency rescue vehicle driving path. The method comprises emergency rescue prioritization, path type classification, signal priority control, signal coordination control, and a bi-level programming model; relevant coordination control research on paths is conducted; first, emergency rescue characteristics and objects are analyzed, research on upper level dynamic phase difference and lower layer path green wave coordination in different path forms is conducted, and relevant case analysis and verificationare performed. The method disclosed in the invention is characterized by real time performance, traffic signal coordination priority control over an emergency rescue path can be exerted based on timewhen an emergency rescue team reaches a crossroad and real time vehicle load information of general vehicles, emergency rescue response time can be shortened, and casualties and property loss can beeffectively reduced.

The invention discloses a wellhole and wellshutter security alarming system for power telecom engineering, relating to the technical field of security alarming systems of the power telecom engineering. The wellhole and wellshutter security alarming system for the power telecom engineering consists of a wellshutter probe and a GSM (Global System for Mobile Communications) alarming host, wherein the wellshutter probe is fixed on a well wall and connected with the GSM alarming host to monitor in real time through a wireless signal; and a master control / branch control centre is established when the plurality of roads and the wellshutters in a large area are concentrated to monitor and manage. By adopting flexible monitoring terminals, the system can select a mobile phone for monitoring less quantity of wellshutters as a terminal according to small road sections and small areas, can be also suitable for large-area construction in a mode of an alarming centre, or adopts the mobile phone to monitor and then uses a mode of a monitoring centre after integration so as to realize high cost performance of the anti-theft technology of the wellshutter.

A system and method that use audio feedback from a region being monitored can provide location information pertaining to fire or individuals in the region. Units of a public address system can each be equipped with a microphone. Audio from the microphones can be processed at a common location, such as an alarm control panel. The audio can provide fire profiles as well as information as to individuals in the region being monitored.

The invention discloses an on-vehicle electronic warning system for road safety, comprising a wireless broadband special network established at the side of the road. The wireless broadband is composed of a road-side wireless signal transmitting tower, road-side optical cables and a database computing center and is used for receiving operational data of each vehicle on the road while uninterruptedly sending road feature data to each vehicle. An on-vehicle road safety electronic shield terminal arranged in the vehicle uninterruptedly transmits vehicle locations, time and speed data computed by a satellite and land station signals to the database computing center of the road-side wireless special network subsequent to the reception of a positioning signal from a global positioning system so that all the vehicles share the positioning data, meanwhile, the terminal uninterruptedly receives and reads the road feature data sent by the wireless broadband special network during the traveling, and sends, in case that the distance between vehicles are too close or the vehicle is about to deviate from own traffic lane, warning information to related drives in order to avoid traffic accidents such as vehicle rear-end collision, deviation from the roads, side collision, etc.

The present invention discloses a vehicle emergency avoidance system and method. The system comprises a common vehicle, an emergency vehicle, a first intelligent terminal, a second intelligent terminal and a car networking service platform. The common server and the emergency vehicle are respectively provided with the first vehicle intelligent terminal and the second intelligent vehicle terminal, the second vehicle intelligent terminal is configured to obtain the driving information of the emergency vehicle; and the car networking service platform is configured to receive the driving information of the emergency vehicle, determine a common vehicle influencing the driving of the emergency vehicle according to the driving information and emit avoidance signals to the common vehicle. The vehicle emergency avoidance system and method can timely notice front vehicles avoid the emergency vehicle so as to reduce the defect that a common vehicle does not know there is an emergency vehicle behind and does not perform avoidance and effectively reduce the life loss and property loss of people.

The invention discloses an anti-icing paint. The paint comprises a component A and a component B in a mass ratio of (4-7):1, wherein the component A is prepared from the following ingredients in percentage by mass: 20-80 percent of fluorosilicon resin with solid content of 20-70 percent, 0.05-2 percent of a defoaming agent, 0.05-2 percent of a flatting agent, 0.05-2 percent of a rheological agent, 0.05-5 percent of a light stabilizer, 0.05-2 percent of a matting agent, 0.05-2 percent of drier, 10-60 percent of rutile titanium dioxide, 0.1-20 percent of a dispersant and 20-70 percent of a solvent A; and the component B is prepared from the following ingredients in percentage by mass: 20-80 percent of a polyisocyanate curing agent and 20-80 percent of a solvent B. The anti-icing coating formed by the anti-icing paint has low surface energy and good hydrophobicity, can be used for effectively reducing the ice adhering strength of a base material, has excellent weather resistance and abrasion resistance, has high hardness and strong adhesive force to the base material, can be applied to wind blades, electric wires and cables and other cold surfaces with anti-icing requirement, and can be used for effectively relieving the icing phenomenon of cold surfaces, guaranteeing efficient working of the wind blades, the electric wires and cables and the like and prolonging the service lives of the wind blades, the electric wires and cables.

The invention discloses a comprehensive traffic network operation situation detection simulation technology facing road and railway networks. The technology is characterized by comprising a regional comprehensive traffic and transportation network emergency simulation framework, a demand estimation and prediction model based on combination of trend prediction and a neural network and an agent-based multi-mode comprehensive transportation network simulation model. According to the comprehensive traffic network operation situation detection simulation technology facing the road and railway networks, by means of exiting road network and railway network traffic data, an overall framework of a regional comprehensive traffic and transportation network emergency simulation platform is constructed in a focused mode, a time-space network modeling technology is applied, and an agent-based multi-mode comprehensive traffic simulation model is constructed.

The invention relates to the field of a fatigue inspection technology, and relates to a method for detecting and reminding fatigue in real time. The method comprises the following steps: acquiring the image information of a monitored person, and performing real-time face detection on the acquired image information; calibrating an initial point of the detected face; extracting the SIFT (Scale Invariant Feature Transform) features of the face to obtain a next linear regression parameter; locating the calibrated initial point to a face feature point by the linear regression parameter; analyzing the closing states of human eyes and mouth by the position of the face feature point; judging whether a monitored person is in a fatigue state in accordance with the closing states of the human eyes and mouth, reacquiring the image information of a detected person if a detected person is not in the fatigue stage, and making a fatigue early warning prompt if the detected person is in a fatigue state. According to the method provided by the invention, by using the face features based on a machine vision, any person suffering from fatigue, rhembasmus and slow response can be early warned accurately, effectively and in real time, and the risk of the fatigue work can be reduced.

The invention discloses a traffic warning method and system based on Internet. The method includes the steps that a vehicle intelligent terminal acquires information of images around a vehicle through a camera, and it is determined that a traffic accident happens to the vehicle according to the image information; a recording function is started, and voice information of a user is recorded; position information of the vehicle is acquired through a GPS; the image information, the voice information, the position information and pre-stored vehicle user information are sent to a server through the Internet; the server recognizes key words of the voice information, the traffic accident type of the vehicle is determined according to the key words and the image information, and the image information, the voice information, the position information and pre-stored vehicle user information are sent to a service terminal corresponding to the traffic accident type through the Internet. By means of the method and system, accurate classification processing can be fast and precisely performed on the traffic accident happening to the vehicle in time, better service can be provided for a vehicle user, and casualties and property loss caused by the traffic accident can be reduced.

The invention provides a freeway management system. The freeway management system consists of a three-level management structure, namely a freeway provincial monitoring management center, a municipal monitoring management center and a front-end infrastructure monitoring unit, wherein information of the front-end infrastructure monitoring unit is gathered to the municipal monitoring management center, and is gathered to the provincial monitoring management center through the municipal monitoring management center, so that the linkage is realized. The front-end infrastructure monitoring unit comprises a microwave detector for detecting parameters, such as road section speeds, traffic flows, vehicle distances and vehicle models, a surveillance camera, a broadcasting system, a system server and a management host. The microwave detector, the surveillance camera and the broadcasting system are respectively connected with the system server and the management host.

The invention is an intelligent theft-robbery resistant and fatigue-driving resistant system for a vehicle, and relates to the collecting, analyzing, confirming and alarming of information of a driver and the vehicle and automatic braking control of the vehicle. The system comprises a vehicle speed sensor (VSS), an engine working senor, a vehicle-mounted information machine, a wireless (mobile) communication network, a data (information) processing center, an ignition circuit control switch of an engine, a vehicle automatic braking device, a 110 alarm center, an accident center of an insurance company and information of a vehicle owner. When the vehicle is in theft and robbery, the controlled state of the vehicle can be judged by comparing the head portrait of the driver with the driving license of the driver and confirming the owner of the vehicle; if the vehicle is not controlled, the data (information) processing center issues braking control instruction and alarming information that the vehicle is stolen, and the vehicle can realize remote control and prompt alarming by automatic braking and (or) disconnecting the ignition circuit of the engine. The system in the invention is applicable to various vehicles (ships).

The invention relates to a shake-up device, especially to a rapid shake-up device of a fire extinguisher for fire protection. To solve the technical problem, the invention provides a rapid shake-up device of fire extinguisher for fire protection. The rapid shake-up device is convenient to use, shake-up time can be accurately controlled, and fire can be extinguished timely. The rapid shake-up device of a fire extinguisher for fire protection comprises a base plate, a motor, a cam, a first contact roller, a first block, a first spring, a first guide pulley, a stay wire, a slide block, a dead lever jamming rod, a hinge, a fixed cylinder, a strut, a guide plate, a slide rail, a lifting bar, a fourth spring, a second contact roller, left and right movable levers, bolts and a cylinder cover, etc. The right side of the top of the base plate is provided with the guide plate. The invention has achieved the effects of use convenience, accurate control of shake-up time and timely fire extinguishing. Thus, fire-extinguishing efficiency is raised, property loss is reduced for people, and living quality is enhanced for people.

The invention belongs to the field of mine safety, and relates to an identification method for rockburst disaster micro-seismic monitoring and early-warning key points by the adoption of a micro-seismic monitoring system. The method is characterized in that a rock mass is excavated to determine monitoring areas, moreover, the monitoring areas are numbered, the micro-seismic monitoring system is installed and performs real-time monitoring, a micro-seismic event active ratio-accumulative apparent volume-time curve graph is then drawn, the changing conditions, along with the time, of the micro-seismic event active ratio and the accumulative apparent volume are mastered to identify the rockburst disaster micro-seismic monitoring and early-warning key points. The method is easy to construct, good in effect and high in reliability and early-warning accuracy, shortens the early-warning time for rock mass destroying and stability losing, improves the construction safety environment and avoids personnel and equipment losses. The identification method is suitable for mines, tunnels, slopes, hydropower station chambers and other fields needing rock mass excavation.

The invention discloses a network intelligent open fire detector control system which mainly comprises an open fire detector and a wireless gateway (base station) and so on. The core module group of the open fire detector comprises a central processor and a wireless module group unit and an ultraviolet flame detection system which are connected with the central processor. According to the system, the wireless module group unit performs data communication with the wireless gateway (base station), the wireless gateway (base station) is connected with a business engine, the business engine performs data interaction with a cloud side data server, and the cloud side data server is connected with multiple types of client sides through the network. With application of the system, the disadvantages that the ultraviolet flame detector has poor sensitivity and small detection distance and have no resistance to lightning interference and has certain rate of false alarm can be solved, and remote command deployment can be realized in case of emergency event so that unnecessary property loss can be reduced, and the powerful guarantee can be provided for the fire fighting force to quickly and effectively handle various fire accidents.

The invention relates to a traffic early-warning method, an information transmitter, an information receiver and a traffic early-warning system, belonging to the field of traffic safety. The traffic early-warning method, the information transmitter, the information receiver and the traffic early-warning system are automatically or manually or circularly triggered according to time period. Traffic early-warning information is processed and transmitted by technologies, i.e. the information processing, the radio receiving and transmitting, the directive antenna, the broadcast type communication, the relay retransmission, the alarm display and the like. The propagation path can be widened, the propagation mode can be improved, the propagation distance can be prolonged, and the propagation effectiveness and the information initiative can be improved. The sufficient information sharing among main bodies of the road traffic can be realized. The traffic safety early-warning where the abnormal situation does not form the actual danger, the early-warning distance reaches the furthest kilometer level, and the early-warning time reaches the longest minute level can be provided for vehicle drivers; and a traffic sign facility is used for transmitting the traffic sign information to a receiver on a vehicle through radio wave and transmitting to drivers, and preferably, the receiver transmits an active alarm signal corresponding to the received traffic sign information with the appointed type.

The invention discloses an Internet of Things system for monitoring and managing fire-fighting equipment. The Internet of Things system comprises a fire-fighting managing center, a fire-fighting equipment monitoring and managing host, a data concentrator, a field inspection terminal and a plurality of fire-fighting equipment information acquisition terminals, wherein the fire-fighting equipment information acquisition terminals are in communication connection with the data concentrator by a network; the data concentrator is connected with the fire-fighting equipment monitoring and managing host; the fire-fighting equipment monitoring and managing host is in remote communication connection with the fire-fighting managing center by a network; the fire-fighting equipment information acquisition terminals exchange data with the field inspection terminal by a wireless sensing network. The Internet of Things system for monitoring and managing the fire-fighting equipment can be used for remotely monitoring the fire-fighting equipment inside and outside buildings and carrying out automatic and regular route inspection or field inspection on the working state of the fire-fighting equipment, so as to improve the reliability of monitoring and managing.

The invention provides a family water-leakproof method and an intelligent water meter which adopts a switch which can judge whether the family continuous water supply time and the continuous water supply amount exceed an appointed threshold value in order to determine whether the water source is cut off. The water meter is only added with a timing unit and a counting unit on the basis of the existing electronic water meter, and has the simple structure and is practical and convenient. The invention has the following main steps: the timing unit calculates the one-time continuous water supply time; the counting unit calculates the one-time continuous water supply amount; respectively judging whether the one-time continuous water supply time and the one-time continuous water supply amount exceed the appointed threshold value, a pipeline is determined as the leakage if any value exceeds the appointed threshold value, and then the water source is cut off immediately; the invention is characterized in that the timing threshold value and the counting threshold value can be set as different leakproof grades according to different family requirements; in addition, the water meter has also a reset switch, and the water meter can be restored to supply water when the fault is eliminated. The invention can meet the requirements of common families preventing the flood.

The invention discloses an intelligent automatic traffic road cone arrangement device. The intelligent automatic traffic road cone arrangement device comprises a stacked road cone unloading mechanical arm, a slide conveying belt, a road cone arrangement control unit, a camera, an image processing module and a human-computer interaction display screen, wherein the slide conveying belt is located beside a vehicle, the road cone arrangement control unit is electrically connected with the stacked road cone unloading mechanical arm, the camera is used for acquiring the image information of the road in front of the vehicle, and the image processing module and the human-computer interaction display screen are electrically connected with the camera. The stacked road cone unloading mechanical arm is provided with a first driving mechanism. A mechanical clamping jaw is arranged at the top end of the stacked road cone unloading mechanical arm and used for taking down road cones stacked in the vehicle in sequence. The slide conveying belt is provided with a second driving mechanism and used for conveying the road cones. The road cone arrangement control unit is used for self-adaptive adjustment of the speed of the conveying belt according to the real-time vehicle speed and the preset road cone arrangement interval, so that the road cones are arranged according to the preset interval. The human-computer interaction display screen is used for recognizing and displaying lane lines. By the adoption of the intelligent automatic traffic road cone arrangement device, accurate automatic arrangement of the road cones is achieved, and meanwhile the road cones are prevented from being severely abraded.