50results about How to "Realize safety warning" patented technology

The invention discloses a smart community management system based on the Internet of things, comprising a smart community monitoring host used as an intelligent application layer. The smart community monitoring host comprises a community intelligent service system, a community unit management system, and a community intelligent management system. The community unit management system is used for managing each household unit of each building, and is connected to the smart community monitoring host through a property management switch. The community intelligent service system comprises a community convenience medical system. The community intelligent management system comprises a community positioning monitoring system, a community safety early warning system, and a commodity access control system.

The present invention provides a recognition and early warning method of a vehicle-borne traffic signal and symbol based on machine vision. The method comprises a step of combining electronic map information, starting vehicle-borne camera, and detecting the video information of an intersection signal lamp, a step of carrying out framing processing on video information captured by the camera, and obtaining an image set sequence, a step of carrying out preprocessing on the image, wherein the preprocessing comprises the preprocessing compression, the gray processing, and the binarization processing of the image, a step of determining an alternative detection area through rectangle scanning, counting the red, green, yellow and black pixels of the area, and judging whether a current area is a traffic lamp and the state of the traffic lamp according to the counting result, a step of carrying out circle and triangle detection at the same time, and matching and judging traffic sign information, and a step of displaying a recognition result in a voice broadcasting or screen displaying manner, and thus carrying out early warning of the driver. The method has the advantages of low cost, convenient implementation, a chromatopsia driver can be assisted to identify traffic signals and traffic signs, and the range of application is wide.

The invention relates to a variable quick response code based whole-course credible tracing-back system for the quality safety of an agricultural product. A variable quick response code label is generated, agricultural product information is collected and stored in a database, the database is connected to an agricultural product safety tracing platform, and the variable quick response code label is printed on an external package of the agricultural product; agricultural product safety tracing equipment reads and decodes the variable quick response code label in the plantation, transport, pesticide residue detection, processing, packaging and sales links of the agricultural product, and decoding data and user data are uploaded; the agricultural product safety tracing platform receives the uploaded decoding data and user data, and a matching result is returned to the agricultural product safety tracing equipment. The different manufacturing links of the agricultural product are monitored, traced back and managed transparently by utilizing advantages of higher tolerance and anti-falsification of the variable quick response code, the credibility of the whole quality safety tracking and back tracing process of the agricultural product is improved, and the monitoring workload of the government is reduced.

An electrical fire warning information processing method comprises the steps that monitoring data sent by a monitor are received; parameters monitored by the monitor, sampling time and monitor identification are respectively stored in corresponding data packs in an original database in a database; the monitoring data are called from the initial database and analyzed, temperature analyzing results and electrical analyzing results in a sampling cycle of electric equipment are obtained; the temperature analyzing results and the electrical analyzing results are respectively compared with the electrical safety data of the electric equipment, whether temperature and electric power of the electric equipment are abnormal is determined, a warning report is generated and is stored in a warming report database, the warning report is displayed through a displayer; when electric power parameters and / or temperature parameters of the electric equipment are determined to be abnormal, an electrical fire warning information processing system carries out warning through an Internet of things. The operation states of the electric equipment at monitoring points are monitored in real time, fire hidden hazards of the electric equipment are warned timely, and safety warning of the electric equipment in a large range is achieved.

The invention provides a method for early warning of dangerous sources of a coal mine, and belongs to early warning methods for coal mines. Identification of the dangerous sources, evaluation of risk levels of the dangerous sources and monitoring of the dangerous sources are carried out through a coal mine dangerous source early warning system; dangerous source information which comes from different places, is of different levels and is not reviewed or is not qualified during review are dynamically broadcasted with an electronic mine figure as a background at a computer terminal in a local area network, a coal mine dispatching room and a wellhead large-size screen terminal, wherein the dangerous sources of different early warning levels are expressed with different colors; places having a great influence on coal mine safety production are provided with a wireless sensor network, information of the dangerous sources of the places are monitored in real time, related functional offices arrange to rectify and reform dangerous source specific information which happens but is not found or which is found but cannot be typed in a system timely and manually or which cannot be timely displayed on terminal equipment of the dispatching room or terminal equipment of a wellhead large-size screen, and coal mine safety production is guaranteed. The method is used for coal mine safety management and achieves look-ahead and timely precontrol and management for hidden dangers and accidents happening in the coal mine possibly.

The invention discloses an anti-collision system based on the Internet of Things. A plurality of positioning base stations and positioning tags are arranged in a pipe gallery. The positioning tags consist of UWB ranging modules connected to control modules. The positioning base stations include UWB ranging modules connected with signal processing modules. The positioning base stations and the positioning tags carry out UWB communication to obtain positioning data. With any positioning tags as centers, the signal processing modules feed back positioning data of other positioning tags within a certain range to the control modules of the central positioning tags. With full consideration of the influence on sensor tag node signal detection by a working environment with high temperature, high humidity, high signal interference and poor visibility in an electric construction pipe gallery, the anti-collision system has advantages of high positioning accuracy, low energy consumption, and goodoverall monitoring effect. Because of the multi-layer early warning cooperation mechanism, the mutual collision risk is reduced and the working safety is improved. The anti-collision system has the important engineering significance and great popularization and application value.

The invention relates to a high-speed rail fastener detection and counting method and a high-speed rail fastener detection and counting system based on machine vision. The high-speed rail fastener detection and counting system comprises image acquisition equipment, a DSP embedded processing system and two LED lighting devices, and designs a rapid fastener detection method based on area and width characteristics of a fastener. Compared with a fastener positioning methods adopting a photoelectric encoder, a photoelectric ranging sensor, a GPS positioning system and the like, the fastener positioning method based on machine vision has the advantages of high positioning precision, no accumulative error, simple structure, easy establishment, high cost performance and the like. A fastener counting result obtained by the high-speed rail fastener detection and counting system is uploaded to an upper computer, a rail geometric parameter fault position obtained by a rail geometric parameter measurement sensor is marked, the maintenance position is provided for railway maintenance personnel quickly and precisely, and the high-speed rail fastener detection and counting method and the high-speed rail fastener detection and counting system are of great significance to safety early warning of the railway.

The invention discloses a safe driving warning system for a vehicle and a corresponding warning method. The warning method includes the steps of information acquisition, information processing, safe driving warning for the vehicle and the like. Driving state information of the vehicle is acquired in real time through a driving state information acquisition module and transmitted to a master control unit in real time, and the master control unit transmits the driving state information of the vehicle to other vehicles through an information transmitting and receiving module and receives vehicle driving state information transmitted by master control units of other vehicles; according to the vehicle driving state information, time required when the vehicle reaches an impact point is predicted and analyzed, the predicted time is compared with a reference value of safe driving of the vehicle, corresponding judgment is output according to the detection and comparison result, and then an alarm can be given in time for warning. The safety driving warning system for the vehicle is the carrier of the warning method. The warning system is simple in structure and easy to implement and can provide detailed driving information of other vehicles for a driver, so that safe driving of the vehicle is guaranteed. The safe driving warning system for the vehicle and the corresponding warning method are applicable to various vehicles.

The embodiment of the invention provides a safety early warning system and method for a vehicle turning blind area. The system comprises a first monitoring device, a second monitoring device and a first early warning device, wherein a first monitoring unit included in the first monitoring device is used for detecting whether a preset type of vehicle exists in the first area or not, the second monitoring device is used for detecting whether a preset object exists in the second area or not when a preset type of vehicle exists in the first area, under the condition that it is determined that thepreset object exists in the turning blind area, the first early warning device is controlled to output the first early warning information used for prompting the preset object to leave the turning blind area, the second monitoring device is further used for controlling the first early warning device to output the second early warning information used for prompting the preset object to forbid entering the turning blind area when it is determined that the preset object does not exist in the turning blind area. The system is advantaged in that compared with the prior art, by applying the scheme provided by the embodiment of the invention, safety early warning of the blind area occurring when the vehicle turns is carried out, so the occurrence probability of traffic accidents is reduced.

The invention discloses a safety early warning method and system based on multi-lane vehicle distance detection, and the method comprises the steps: obtaining the braking distance of a target vehicle,carrying out vehicle marking of a video image at a current moment in a multi-lane road in front of the target vehicle, and carrying out perspective transformation of the video image to obtain an aerial view; according to pixel points between the target vehicle position and the marked vehicle position in the horizontal direction and the vertical direction in the aerial view, obtaining the actual length between the target vehicle position and the marked vehicle position in the horizontal direction and the vertical direction in combination with the corresponding relational expression, and then obtaining the actual distance between the target vehicle and the marked vehicle; and realizing safety early warning of the target vehicle by comparing the actual distance with the braking distance of the target vehicle. According to the method provided by the invention, the characteristics of perspective transformation are considered, the high-precision actual distance between the target vehicle and the marked vehicle is further obtained, and analysis and judgment are performed, so that the safety early warning method is simple and high in accuracy.

The invention provides a responsibility traceability affirmation system, and the system comprises a software and hardware base layer, a base module, a data acquisition layer, a preprocessing layer, a data analysis layer and a display management layer; the software and hardware base layer is a unified monitoring and management object of the responsibility traceability affirmation system, and comprises a host, a network, a database, a server, a cloud platform, a service application, a certificate and network equipment; the responsibility traceability affirmation system is an upper layer management analysis platform of a software and hardware base layer. According to the invention, an evidence collection object is converted from original single terminal information collection into collection information of various systems such as terminals, servers, networks, databases, applications, network equipment, certificates, cloud platforms and the like, mass data is collected through a data collection layer, and according to actual conditions and demands, an original collection data source is reasonably preprocessed under a knowledge background, so the collected information is kept in a processable range, and an effective basis is provided for security event responsibility positioning.

Provided is a method for detecting wall shape variation. The method comprises the steps that at least two sensor elements and an optical fiber tension adjusting device are arranged on the upper portion of a main structure of a building to be monitored to form testing points; a building model is built according to the building to be monitored, and the testing points are connected with the built building model through an optical fiber server; the attribute variation of the arranged sensor elements is analyzed according to the optical fiber sever to obtain corresponding optical variable data, and the tension strength of all testing points on the main structure of the building to be monitored is calculated; the variation of the calculated tension strength of each testing point is analyzed, and variation corresponding to a wall shape is described on the building model according to a analysis result. According to the method for detecting wall shape variation, a sensing technology is used, trace distorted split information on a wall is detected and analyzed, the hidden danger of the building is output quickly and flexibly, and the problem that early warning of deformation hidden dangers is difficult to give out to an existing large-scale building reinforced wall structure is solved. In addition, the invention further provides a system for detecting wall shape variation and the building.

The present invention provides a detection method of wall deformation. Infrared thermal imagers are taken as tools, three modes of separation are performed at a wall area, the infrared thermal imagerswith different inclinations are employed to perform imaging of the surface of the wall at the separation positions to effectively enhance trace deformation and distortion information on the wall andreject error information, materials being the same as the materials of the wall are employed to prepare a reference block, critical corrosion damaging is performed in the reference block as comparisonfor information feedback so as to present shape change in a wall structure in different visual angles and achieve safety early warning of building bodies. The detection method of wall deformation performs detection analysis of the trace deformation information on the wall and outputs hidden dangers of the buildings rapidly and flexibly and solves a problem of difficulties in early warning throughenhancing hidden risks of structural deformation of wall structures of large scale buildings.

The invention discloses a power utilization safety monitoring method and system based on power utilization characteristics, and the method comprises the steps: receiving power utilization data, carrying out the preprocessing, and generating a power utilization parameter matrix; according to the power utilization parameter matrix, based on a pre-trained power utilization equipment identification model, identifying power utilization equipment in a working state at present; and for the electric equipment in the working state, performing state monitoring based on a pre-trained electric equipment state diagnosis model. According to the invention, real-time monitoring of the safety of the electric equipment can be realized.

The invention discloses a building electrical appliance synergic controlled safety early-warning method, which comprises the steps of: step 1, installing building electrical appliances and establishing a safety early-warning system, wherein the building electrical appliances are electrical equipment installed on a building; step 2, acquiring power fluctuation features from a database, setting other parameter level intervals, and inputting permitted faces; step 3, establishing a state matrix; step 4, acquiring and processing data in real time, and updating the state matrix; step 5, and performing safety early warning by combining the state matrix. The building electrical appliance synergic controlled safety early-warning method can realize safety early warning by means of a synergic controlled building electrical appliance network system. Through acquiring the electrical appliance states, the environment state, the pipeline state and the monitoring state, the state matrix is constructed, and early warning can be realized correspondingly by combining variation of the state matrix. The equipment control of the building electrical appliance synergic controlled safety early-warning method can be interacted by means of an application interface of a user side, and the early warning can be displayed on the application interface.

The invention provides a method for early warning of dangerous sources of a coal mine, and belongs to early warning methods for coal mines. Identification of the dangerous sources, evaluation of risk levels of the dangerous sources and monitoring of the dangerous sources are carried out through a coal mine dangerous source early warning system; dangerous source information which comes from different places, is of different levels and is not reviewed or is not qualified during review are dynamically broadcasted with an electronic mine figure as a background at a computer terminal in a local area network, a coal mine dispatching room and a wellhead large-size screen terminal, wherein the dangerous sources of different early warning levels are expressed with different colors; places having a great influence on coal mine safety production are provided with a wireless sensor network, information of the dangerous sources of the places are monitored in real time, related functional offices arrange to rectify and reform dangerous source specific information which happens but is not found or which is found but cannot be typed in a system timely and manually or which cannot be timely displayed on terminal equipment of the dispatching room or terminal equipment of a wellhead large-size screen, and coal mine safety production is guaranteed. The method is used for coal mine safety management and achieves look-ahead and timely precontrol and management for hidden dangers and accidents happening in the coal mine possibly.

The present invention discloses a device and a method for protection of a thyristor set string. The device comprises a man-machine interaction module, a main controller, a triggering module, a dynamicmonitoring circuit and a thyristor set string. The man-machine interaction module is connected with the main controller, and the triggering module is connected with the thyristor set string; and thedynamic monitoring circuit is connected with the triggering module and the main controller, and the dynamic monitoring circuit comprises a field-programmable gate array logic gate constructor, a microsecond time divider, a comparator, an imbalance degree determiner, a first optical fiber input device and a first optical fiber output device. The device and the method are provided with the dynamic monitoring circuit to achieve monitoring and protection of thyristors to achieve safety early warning of the thyristors so as to discover transformation of early-stage performance parameters of the thyristors.

The invention provides an intelligent zoning early warning system for road construction. The system comprises a safety cone, a warning line, an audible and visual alarm, a wearable alarm device and aconstruction site audible and visual alarm, and is characterized in that an intelligent laser early warning device is arranged between the audible and visual alarm and the wearable alarm device; the intelligent laser early warning device is composed of a laser radar, an intelligent identification module, a zoning early warning module, an LORA wireless module, a photovoltaic panel and a lithium battery; the audible and visual alarm is composed of an antenna, an LED display panel, a photovoltaic panel and a battery; and the construction site audible and visual alarm is composed of an antenna, anaudible and visual alarm and a battery. Safety early warning in the whole construction range can be achieved, communication between devices is achieved in a wireless mode, the whole system is fast toinstall and convenient to migrate along with construction, and a large amount of manpower and time are saved.

The invention provides an intelligent home gateway based on LORA wireless communication technology, which comprises a wireless router host machine body, and a power source, a main controller, a chargeand discharge power management unit, and a LORA spread spectrum communication unit which are arranged at the inner part of the wireless router host machine body, and a data memory for storing the data; the back part of the wireless router host machine body is provided with several function plug openings, and each of the function plug opening comprises a USB plug opening, a power plug opening, a WAN interface and multiple LAN interfaces; the function plug opening further comprises a wifi antenna arranged at the back part of the wireless router host machine body and used for carrying out the wifi signal coverage in the environment and a LORA antenna for receiving and sending a signal; thus the safety early warning of the home living place with far distance and no dead corner is realized; auser can check the safety condition of the home environment through the mobile phone APP, thus the defense layout and withdrawing are carried out; the real-time warning message is reported, the safetyperformance of the intelligent gateway product is greatly promoted; the intelligent home gateway reaches the effects of low power consumption and high anti-disturbance performance.

The invention discloses a power transmission channel control method. The method comprises the following steps that laser point cloud data and cruise image data of a power transmission channel and video data shot by video equipment installed on the power transmission tower of the power transmission channel are collected, the three-dimensional model of the power transmission channel is modeled on the basis of a laser point cloud data line, and the three-dimensional model comprises a meteorological model established on the basis of meteorological data, operation and check data is input to the three-dimensional model for data storage, fusion, computing and analysis, wherein the three-dimensional model achieves transmission video image active early warning based on cruise image data and video data, and the three-dimensional model dynamically analyzes and calculates sag, windage yaw and tower stress based on laser point cloud data and the cruise image data.

The invention relates to the technical field of official service boats, and discloses a positioning navigation and safety early warning system for an official business boat,which comprises a boat early warning system and a water area early warning system. The boat early warning system comprises a main control unit, a navigation module, an obstacle avoidance module, an acquisition module and a communication unit. The main control unit is in communication connection with the acquisition module and is mainly used for reading instrument parameters of the official business boat and channel information of the official business boat; and the main control unit is in communication connection with the obstacle avoidance module. According to the positioning navigation and safety early warning system for the official business boat, when a government passes through a high accident water area and a bridge through the official business boat, a boat pre-warning system on the official business boat is connected with a water area pre-warning system of a base station, official business boat information is collected, a navigation route is planned according to the flow of the boats, sorting is carried out, a navigation channel is planned for each passing boat, driving is carried out according to a navigation channel is strictly required, and the navigation state is monitored in real time.

The invention discloses an intelligent overhead power transmission line capable of implementing broken wire monitoring. The intelligent overhead power transmission line comprises an aluminium-clad steel stranded wire and a broken wire monitoring sensor arranged at a position on the aluminium-clad steel stranded wire; the broken wire monitoring sensor comprises an epoxy resin coating on the surfaceof the aluminium-clad steel stranded wire, an excitation coil, a bias magnetic field excitation coil and a coil protection shell; the epoxy resin coating is sprayed on the outer surface of the aluminium-clad steel stranded wire; the epoxy resin coating is sequentially wound outwards with the excitation coil and the bias magnetic field excitation coil; the part outside the aluminium-clad steel stranded wire around is coated by the coil protection shell; and the output ends of the excitation coil and the bias magnetic field excitation coil are connected to the same sensor cable interface afterprotruding out of the coil protection shell. According to the invention, excitation and receiving of a guided-wave signal in a measured structure can be implemented, electron-phonon coupling efficiency is high, conversion efficiency of energy is greatly improved, and a detection range of an ultrasonic guided wave is enlarged.

The invention relates to an electric vehicle battery safety early warning method and system. The method comprises the following steps: acquiring a single voltage and an instantaneous current of an electric vehicle battery; determining the Shannon entropy of each battery monomer according to the monomer voltage; determining the ohmic resistance of the battery monomer according to the monomer voltage and the transient current; determining the charging power of each single battery according to the instantaneous current; determining the probability density of the battery according to the Shannon entropy, the ohmic resistance, the charging power and the transient current; and determining whether the battery has a safety problem according to the probability density. Safety early warning of the battery is realized according to the actual condition of the battery of the electric vehicle.

The invention provides an intelligent warning wearable device, which comprises a multi-view vision module, a processor and a warning module, wherein the multi-view vision module and the warning module are in communication connection with the processor; the multi-view vision module is used for sensing a plurality of moving obstacles in directions within a preset distance, and transmitting real-time positions of the moving obstacles to the processor; and the processor is used for calculating arrival time according to the real-time positions, and controlling the warning module to send a warning signal to a user wearing the intelligent warning wearable device according to the arrival time. The intelligent warning wearable device based on multi-view machine vision achieves full-automatic and omni-directional safety warning, can perform continuous safety monitoring on the surrounding environment of the intelligent warning wearable device, and has the advantages of being efficiency, real-time, multi-directional and highly intelligent.

The invention discloses a diver safety early warning system and a control method thereof, and relates to the technical field of diving safety early warning. The safety early warning system comprises a wearable early warning host and a wireless pressure sensor, the early warning host is worn on the ear position of a diver, and the wireless pressure sensor is installed on a primary valve of the gas cylinder regulator. The corresponding voice and warning sound are broadcasted through the loudspeaker so that the diver directly receives related information, the warning lamp is synchronously used for assistance, and safety-related early warning is effectively carried out on the diver; an underwater acoustic transducer is used for transmitting and receiving information, mutual communication between gas cylinder pressure monitoring and an early warning host is achieved, and early warning on the safety of the residual gas amount is achieved; pairing and communication among the early warning hosts are realized through the underwater acoustic transducers, distance measurement and information intercommunication among the submerged partners are realized, and early warning of safety of the submerged partners is realized; and early warning of the diving depth, the floating speed and the diving speed is realized through the hydraulic sensor.

The invention belongs to the technical field of information risk early warning, and particularly relates to a method for security early warning of network information risk. The invention also providesa server for security early warning of network information risk, and further provides a system for security early warning of network information risk to implement data control on the gateway of a local area network: the gateway of the local area network does not have restrictions or necessary to limit all data packets entering the local area network. The invention solves the problem that the existing technology grasps no hacker motive and intrusion mode strategy in the existing defense system, resulting in impossible analysis and evidence taking for network intrusion, thereby effectively achieving the effects of safety warning, high security, good hiding characteristics, and simple and convenient maintenance management.

The invention relates to a nuclear power plant cold source safety early warning method, device and system, and computer equipment. The nuclear power plant cold source safety early warning method comprises the steps of obtaining current ocean monitoring data of a sea area where a target nuclear power plant cold source is located, and determining current disaster-causing object information according to the current ocean monitoring data; obtaining a current early warning factor, and determining first predicted disaster-causing object information corresponding to the current early warning factor by using a preset biological evolution model; obtaining current ocean current information, and determining second predicted disaster-causing object information corresponding to the current ocean current information by using a preset trajectory prediction model; and determining a safety early warning result of the target nuclear power plant cold source according to the current disaster-causing object information, the first predicted disaster-causing object information and the second predicted disaster-causing object information. By using the method, the safety prediction of the target nuclear power plant cold source can be realized, the safety early warning result of the target nuclear power plant cold source can be determined by using various parameters, and the safety early warning accuracy can be improved.

The invention provides a network terminal port scanning method and a network terminal port scanning system, and the method comprises the steps: extracting a source IP address, a target IP address, a source port and a target port of each network terminal from obtained network flow monitoring data of each network terminal, and screening used IP addresses and ports; determining a central node of the network terminals in the same network community according to a preset rule; and scanning the IP address and the port used by the central node. According to the invention, the network terminal is scanned according to the key point sequence, so that the time for scanning the network terminal is shortened, the efficiency for scanning the network terminal is improved, and the user experience is good.

The invention provides a safety early warning method and device, a computer readable storage medium and a processor. The method comprises the following steps: determining a current driving area of a target vehicle, and obtaining current driving state information of the target vehicle; obtaining related information of a current moving target object and related information of a current fixed target object; converting the current driving state information of the target vehicle, the related information of the current moving target object and the related information of the current fixed target object into a current feature image; according to the current feature image, the current collision probability of the target vehicle with the current moving target object and the current fixed target object is determined. According to the scheme, the current driving state information of the target vehicle, the related information of the current moving target object and the related information of the current fixed target object are converted into the current feature image, and accurate safety early warning is realized by adopting the current feature image.

The invention discloses an ultra-high-precision freezing detecting device and a real-time freezing thickness detecting method thereof. The ultra-high-precision freezing detecting device comprises a wideband light source, a spectrum analyzer, an optical fiber coupler, a film-coated optical fiber, an optical fiber polarization controller, an optical switch and optical fiber probes. The wideband light source and the spectrum analyzer are connected to a port a and a port b which are located on the same side of the optical fiber coupler through optical fibers respectively. The film-coated optical fiber is installed on the optical fiber polarization controller and connected to a port c located on the other side of the optical fiber coupler. The input end of the optical switch is connected to a port d of the optical fiber coupler and the output end of the optical switch is connected with the optical fiber probes. The ultra-high-precision freezing detecting device can realize ultra-high-precision detection of a micrometer-level-thickness ice layer on the surface of an object and accurately forecast the freezing rate. In addition, the device is high in integration degree, low in cost, capable of realizing distributed real-time detection, particularly suitable for airplane freezing detection, capable of realizing safety early warning and capable of being widely applied to other fields in need of freezing condition detection or monitoring.