518results about How to "Realize early warning" patented technology

The invention provides a fault on-line diagnosis and early warning method of a flameproof dry-type transformer for mine in order to raise the accuracy and rapidity of fault diagnosis. The method comprises the following steps: determining monitoring quantity; extracting characteristic values: extracting a three-dimensional spectra parameter and two-dimensional statistical parameter in a partial discharge signal as characteristic quantities, with regard to operation voltage, current and iron core leakage current, extracting effective values of the operation voltage, the current and the iron core leakage current as characteristic values, and taking real-time values of a temperature parameter as characteristic quantities; using a normalization method to calculate a corresponding value of each characteristic quantity and taking the corresponding value as an input parameter of an intelligent diagnosis system; collecting values of each monitoring quantity under different environment, and obtaining training and testing samples of a nerve network under corresponding environment; establishing a nerve network: selecting a generalized RBF nerve network intelligent diagnosis method to establish a nerve network; utilizing a sample data training nerve network and forming a fault diagnosis tool; establishing a database; storing collected real time data and the above diagnosis result into a ground server real-time database and a real-time early warning information table, and carrying out diagnosis and early warning through an expert system.

The invention discloses an internet public opinion analysis method. The method includes the following steps: determining a public opinion event, and collecting public opinion articles related to the public opinion event; preprocessing the collected public opinion articles, and obtaining a vocabulary collection in the public opinion articles to characterize the public opinion articles; performing clustering analysis on the vocabulary collection by adopting a clustering algorithm, generating a plurality of viewpoints of the public opinion event, and calculating a word vector of the viewpoints; extracting a core topic from the vocabulary collection contained in the viewpoints; calculating an emotional score of the viewpoints through an emotional scoring model, and calculating the level of popularity of the viewpoints; and calculating a public opinion index of the viewpoints according to the emotional score and the level of popularity, and determining that the viewpoint of which the absolute value of the public opinion index is greater than a preset threshold is an abnormal viewpoint, generating early warning information according to the abnormal viewpoint and the core topic, and outputting the early warning information. The invention also provides an internet public opinion analysis device and a computer readable storage medium. According to the scheme of the invention, the monitoring and early warning capabilities for public opinions can be improved.

The invention discloses a wearable device and method for intelligent monitoring and early warning of chronic diseases. The device includes a wearable equipment terminal, a user mobile terminal and a cloud server; the wearable equipment terminal transmits collected physiological signals, motion data and location information processed through a data signal processing module to the user mobile terminal through the wireless communication module; the user mobile terminal includes a wireless communication module, a data storage module and a data processing module; the data processing module is internally provided with an evaluation and prediction model, data in the data storage module is called for evaluating and predicting chronic diseases of users through the evaluation and prediction model in real time, and the evaluation and prediction result is sent to a user interaction interface; the cloud server includes a cloud database and an evaluation and prediction model update module, the cloud database is used for storing the data evaluation and prediction result sent from the user mobile terminal, and an updated personalized evaluation and prediction model is sent to the user mobile terminal to update the evaluation and prediction model.

A depth learning-based road network traffic situation forecast method comprises the following steps of S1, acquiring multi-source traffic data and road network static configuration information, and building a traffic flow parameter model, wherein the multi-source traffic data comprises internet road segment speed data, detector flow data and signal machine control scheme data, and the road networkstatic configuration information comprises road network space geographical position information, intersection number, road segment class, road segment length, road segment number, lane number and lane function; S2, analyzing road network congestion relevancy, and building a basic forecast group; S3, building a dual-stage attention mechanism-based depth learning traffic situation forecast model; and S4, building a traffic situation forecast system. The forecast accuracy and the transportability are relatively good.

The invention discloses a method for realizing power-grid equipment failure prewarning through big data mining technology. The method includes the following steps: acquiring main factors causing a power-grid equipment failure through historical failure record and defect data analysis; performing correlation analysis on safety accident factors; building a risk evaluation model through correlation among historical experience, basic data and factors; performing model selection on application scenes of power-grid safety accidents, and performing data preparation, data screening and data mining according to the scenes; graphically displaying data after being analyzed through a decision making platform, and verifying the data. By performing big data analysis on the historical failure record and defect record, tendency that the power-grid equipment is in a failure is prejudged, and safety prewarning is sent out, so that probability that a power grid is in a safety accident is lowered, and running reliability of the power grid is guaranteed.

The invention relates to the technical field of human body fall-down detecting and intervening and provides a human body fall-down prevention early warning and intervening method and system. The human body fall-down prevention early warning and intervening method includes the steps that real-time detection is performed on the body posture of a monitored object, body posture information of the monitored object is collected, and detection data are obtained; fusion processing is performed on the detection data so as to obtain the processed signal data; the processed signal data are compared with a set threshold so as to judge whether the monitored object inclines to fall down or not, and when the monitored object inclines to fall down, early warning information is sent out before the monitored object falls down; fall-down prevention shoes work, intervening measures are carried out, and fall-down prevention is performed. The human body fall-down prevention early warning and intervening method and system achieve early warning and intervening before the human body falls down.

The invention discloses a landscape water quality online early warning system which comprises a landscape water quality online monitoring system, a data center and a main control computer. The landscape water quality online monitoring system is used for monitoring landscape water quality data and performing data transmission with the data center; the data center is used for controlling the landscape water quality online monitoring system and storing water quality data sent back by the landscape water quality online monitoring system; the main control computer processing data in a database at any time by calling and operating a functional module, and realizing the analysis and management of online monitored water quality data; and when water quality is worsened, the main control computer performs forecasting and early warning, and puts forward a contingency plan according to early warning situations. The variation trend of water quality can be mastered through the landscape water quality online early warning system, the water quality worsening trend can be early warned in time, the water environment quality of urban landscape water body is guaranteed, and scientific basis and technical support are provided for the effective analysis and management of water quality data during the running process of landscape water body.

The invention discloses a method for electrically forecasting a danger in underground tunneling engineering, which comprises: building an approximately even current field in the direction of a tunnel or a laneway by burying long-distance fixed-source first and second power supply electrodes underground in the direction of the tunnel and the laneway; measuring and recording current field change under the background of the approximately even current field by using a measuring electrode buried in tunnel heading face of the laneway and a measuring electrode arranged in or outside the tunnel; and predicating and forecasting a danger around the tunnel heading face according to a law for the change of the electric field. The method has the advantages that: an electrical instrument can be placed in ground station for observation; intra-laneway power supply is avoided; the arrangement of the electrodes is convenient; and the early warning and forecasting cost is low. The method can be widely used in the field of projections involving laneway or tunnel construction, such as coal mine, mine production, communication, water conservancy and hydropower and subway projections.

The present invention provides a road obstacle warning method and device and a terminal and relates to the technical field of assisted driving. The method comprises steps of: acquiring a current traveling speed and a steering angle of a vehicle, wherein the steering angle is used to represent an included angle between the head orientation and the vehicle wheel travelling direction; determining anarea where the vehicle travelling is obstructed based on the steering angle; determining at least one obstacle that is wholly or partially located in area where the vehicle travelling is obstructed based on a parallax image of a road; determining a target obstacle closest to the vehicle among the at least one obstacle; predicting a travel duration at which the vehicle travels to the target obstacle based on the travel speed and the steering angle, and if the travel duration is less than a preset threshold, warning the obstacle. By applying this method, it is possible to accurately and effectively realize the obstacle warning when the vehicle turns, and effectively avoid the collision of the vehicle with the obstacle.

The invention relates to the technical field of human body fall-down detection and provides a human body fall-down preventing early warning method and a human body fall-down preventing early warning device. The method includes the steps that real-time detection is performed on the body posture of a monitored object, body posture information of the monitored object is collected, and detection data are obtained; fusion processing is performed on the detection data, and signal data are obtained after being processed; the processed signal data are compared with a set threshold, whether the monitored object inclines to fall down or not is judged, when the monitored object inclines to fall down, warning is given before the monitored object falls down; the body posture information of the monitored object includes triaxial acceleration information, triaxial angular velocity information and triaxial body angle of inclination information of the monitored object, the detection data are nine-axial inertia sensing data which are obtained through detection by an integrated chip, and collection of the body posture information, fusion processing of the detection data and the fall-down judgment of the monitored object are completed on the same circuit board. The human body fall-down preventing early warning method and the human body fall-down preventing early warning device achieve early warning before the human body falls down and are high in integration level.

The invention provides a probe set and a reagent kit used for detecting pathopoiesia / susceptibility genes of congenital megacolon and relative syndromes. At most 172 pathopoiesia / susceptibility genes related to diseases can be detected at the same time, and reference can be provided for affected individual molecular genetics diagnosis, mass survey of congenital megacolon high-incidence areas, screening of high-risk affected groups in congenital megacolon family members and corresponding genetic counseling or prenatal intervention.

The invention discloses a swimming pool drowning life-saving intelligent system. The swimming pool drowning life-saving intelligent system comprises an intelligent drowning monitoring alarm apparatus, an underwater sound signal receiving conversion device and a data processing device. When a swimmer is in a drowning condition, the intelligent drowning monitoring alarm apparatus automatically sends a sound wave signal, the underwater sound signal receiving conversion device receives the sound wave signal sent by the intelligent drowning monitoring alarm apparatus underwater, converts the sound wave signal in to an electric signal and transmits the electric signal to the data processing device through a wired or wireless communications technology; the data processing device processes the received signal so as to precisely locate the position of a drowning man in the water, and records and displays the underwater moving track of the drowning man. The swimming pool drowning life-saving intelligent system provided by the invention has the beneficial effects that the intellectualized and automatic drowning alarm and processing device is adopted, thus the defect of the existing drowning life-saving manner is overcome, the intellectualized and automatic alarm of a drowning accident is realized, the active prevention, prewarning and in-time detection of drowning life saving are realized, and the incidence rate of the drowning accident, especially, the drowning fatal accident, can be basically avoided.

The invention relates to the field of wind power generation, and provides a sharing maintenance system ensuring normal operation of wind turbines and a realization method thereof. The sharing maintenance system can rapidly diagnose the failure state of the wind turbines and effectively solve the problems of difficult building of the spare parts store of each wind power plant and difficult technical training for maintenance personnel. The sharing maintenance system is characterized in that the system comprises a wind turbine state monitoring device and a central data server, wherein the central data server is mainly composed of a wind turbine state analyzing unit, a user management unit, an inventory management unit, a transaction management unit, a technical training unit and a comprehensive analysis inquiring unit. The central data server is provided with a client-side interactive interface, and a user can use the client-side interactive interface to operate on a client-side computer through a network. By adopting the system, the sharing and the regulation of spare part inventory among different wind power plants can be realized. The system provides a professional assurance for wind power plant hosts to rapidly diagnose the failure state of the system and produces a great promotion role for increasing the operation reliability, safety and economic benefit of the wind power plants.

The invention discloses a method and apparatus based on a radar for preventing collision while passing under a bridge. The method includes: controlling the radar to emit a detection beam for the first time and receives a reflection beam, calculating a linear distance L1 between the radar and the bridge; at the same time as the radar emits the detection beam for the first time, acquiring a real-time velocity V(t) of a vehicle; after a preset time interval [delta] T, controlling the radar emits a detection beam for the second time and receives the reflection beam, and calculating a linear distance L2 between the radar and the bridge at the moment; calculating a driving distance Ld of the vehicle; calculating a height H between the bridge and the pavement; comparing the height H of the bridge and the height Hv of the vehicle, and if Hv is equal to or greater than H, sending an alert. The embodiments of the invention allow an automatic assessment of the height limit of the bridge and can prevent errors due to subjective judgment of a person, and is easy to implement and high in reliability.

The invention discloses a real-time detection and analysis method of an indoor air bacteria content based on the Internet of Things. The method comprises the steps of: generating a bioaerosol detection concentration curve; generating a particle concentration curve; performing statistics on environmental parameters within a set time range; performing calculation in combination with the bioaerosol detection concentration curve and the particle concentration curve to obtain the real-time bioaerosol concentration in the current environment; and performing calculation in combination with a room type to obtain an indoor air real-time bacteria content in the current environment. By adopting of the real-time detection and analysis method disclosed by the invention, the real-time detection of the bacteria content in the current environment can be achieved to guide the startup of disinfection and sterilization equipment and to assist the decision making of the indoor environmental emergency treatment, in addition, in combination with an access control subsystem, a photographing subsystem an environment detection subsystem, the change trend of the indoor air bacteria content is estimated, early warning in advance is achieved, the instructions are more precise, the energy consumption is effectively reduced, the early warning of high-risk environment is timely, the occurrence of mass healthevents is reduced, meanwhile the process can be tracked, and the result can be traced.

The invention relates to a traffic flow integrated and distributed analytic system based on license plate identification data, which comprises a roadside data acquisition subsystem, a roadside communication subsystem and a license plate identification and acquisition treatment platform subsystem. The processing method comprises the following steps: firstly, storing and uploading flow rate information and vehicle information which are acquired from license plate identification sections of external fields; secondly, secondarily cleaning license plates which are acquired from the external fields and cannot be identified and identifying the license plates again; thirdly, tracking and updating vehicle paths which are acquired by the traffic flow integrated and distributed analytic system based on the license plate identification data; fourthly, recording integrated or distributed bicycle trip paths; fifthly, calculating the number of vehicle paths in a road network, wherein the vehicle paths accord with the specified vehicle type and have same integrated sections or distributed sections and the time of the vehicles passing through the integrated sections or the distributed sections is in the same period; sixthly, correcting the flow rate of various integrated and distributed paths; and seventhly, using dynamic graphics to display the traffic flow distribution data of regional integrated and distributed paths.

An image-based method of finding flames with large-space intelligent fire-fighting system relates to the technical field of the combination of the fire-fighting control system and the computer image recognition. The support system of the method comprises a front-end video collecting and processing module, a flame central processing module and a fire-fighting control module. The method comprises the following steps: 1) flame target detection: using a fixed camera to detect flame; 2) flame target location: using at least three cameras to locate the flame target and send the detection information to the central processing module; using the central processing module to receive the information from the fixed camera which detects the flame, performing data fusion, deciding whether to douse the flame; and 3) secondary flame target location: after using a fire monitor to aim the flame, using the fixed camera to aim the flame target secondly, and using the central processing module to control the fire monitor to move. By using the method, real-time fire monitoring can be realized, the real-time control of the fire-fighting system can be realized and fire safety by combining early warning and automatic fire-fighting can be effectively realized.

The invention provides an intelligent fire-fighting system and method for a transformer substation. The intelligent fire-fighting system comprises a plurality of fire-fighting robots and fire-fightingmedium supply equipment as well as a control center, wherein the fire-fighting robots and the fire-fighting medium supply equipment are arranged on each area in the transformer substation in a spacedmode; the fire-fighting medium supply equipment can be fixed, and also can be movable; while a fire behavior occurs, ignition point information can be obtained according to a smoke / temperature sensorarranged on each area in the transformer substation, also can be obtained by sensors on the fire-fighting robots, and also can be detected by arranging an unmanned aerial vehicle. The control centerschedules the fire-fighting robot closest to the ignition point, so that the fire-fighting robot firstly goes to the ignition point to extinguish fire; and meanwhile, other fire-fighting robots closerto the ignition point or the fire-fighting medium supply equipment can be scheduled to go to the ignition point. The intelligent fire-fighting system realizes timely fire-extinguishing and adaptive fire-extinguishing.

The invention discloses a forest fire early-warning method. A large amount of forest fires happen every year in the world so that how to immediately discover fire danger is very necessary to reduction of property loss. According to the forest fire early-warning method disclosed by the invention, omnibearing and all-weather patrolling and monitoring on a forest are realized by combining satellite communication and wireless communication through an aerial photography function of a pilotless aircraft; a satellite communication device, an infrared video camera, a GPS (Global Position System) and the like are arranged on a small pilotless aircraft, and a corresponding wireless receiver is arranged on a firefighting center; and after a fire point of the forest is found out, the infrared video camera on the pilotless aircraft shoots the fire point, the GPS records geographic information of the fire point and transmits to the wireless receiver of the firefighting center through the satellite communication device, and the firefighting center quickly analyzes and judges fire situation or immediately calls up firefighters to carry out fire extinguishment rescue action after receiving early-warning information. The forest fire early-warning method disclosed by the invention has the advantages of low investment cost, wide cruising range and the like.

The invention discloses a single-index prediction and early warning method based on an artificial intelligent big data platform. The method includes the steps: (1) single-index prediction based on theartificial intelligent big data platform; (2) single-index warning based on the artificial intelligent big data platform. Based on the range interval of historical upper and lower bound predictive index values, warning is performed once historical upper and lower bound threshold ranges are continuously and repeatedly broken through within a period of time, namely, abnormity exists within the period of time. Intelligent analysis is performed based on historical index data, index abnormity trend can be judged in real time according to corresponding early warning strategies by the aid of index data of indexes monitored by the artificial intelligent big data platform in real time, potential risks are discovered before a monitoring system, early warning for a production system is realized, enough time is reserved for operation and maintenance experts to remove system faults, and production system risks are avoided as far as possible.

The invention provides a distribution network fault early warning method and system based on transient waveforms. The method is characterized in that a sample library is established in advance, the sample library stores transient waveforms of historical faults, a first current transient waveform corresponding to a current disturbance event of a distribution network line is compared with data of the sample library, and an early warning message is generated according to a comparison result. The distribution network fault early warning method based on the transient waveforms fully utilizes historical fault data and historical transient waveforms which are accumulated by various state monitoring systems including electric energy quality systems and transient waveform recording systems, and matches the transient waveform of the current disturbance event with the historical transient waveforms, so that early warning can be achieved for non-accidental faults of a distribution network, and the feasibility is strong.

The invention relates to the technical filed of vehicle safety monitoring, and provides a method and a system for vehicle safety state monitoring and early warning. The method comprises steps: a vehicle fault information classification state model is pre-generated; vehicle driving state parameters sent by a terminal device arranged on each vehicle are received continuously and in real time; according to the pre-generated vehicle fault information classification state model, the received vehicle driving state parameters are classified and analyzed, and vehicle state parameter classification information is acquired; vehicle fault information corresponding to the vehicle state parameter classification information and the fault happening possibility are acquired, and an early warning instruction is thus generated; and the generated early warning instruction is pushed to the terminal device arranged on the vehicle or an owner user mobile phone terminal, and early warning and reminding are carried out. Thus, advanced early warning on hidden fault of a driving vehicle can be realized, a guiding suggestion for solving the fault problem is provided for the vehicle user and convenience is provided for the vehicle user.

The invention relates to unmanned warning control techniques and discloses an unmanned aerial vehicle warning control method and system. An unmanned aerial vehicle may transmit a signal out constantly during flight; based on the signal transmitted by the unmanned aerial vehicle itself, multiple receiving stations are provided, and the signal transmitted by the unmanned aerial vehicle is received by a signal receiving unit; an acquisition processing unit acquires the signal, processes the signal, recognizes the signal, extracts features and estimates parameters; a positioning tracking unit positions and tracks the unmanned aerial vehicle, extracts location and acceleration information of a target, and transmits to a warning monitoring unit; the warning monitoring unit predicts a location of next moment according to the current location and speed of the target, automatically recognizes whether the target is illegal or not based on the feature information of the target, automatically triggers warning if it is detected that the illegal unmanned aerial vehicle invade a flight 'restricted zone', and transmits shooting guide information to an expelling shooting unit, the expelling shooting unit shoots the illegal target, expels or shoots off the target, and accordingly warning monitoring and control are provided for the unmanned aerial vehicle.

The invention relates to the technical field of building construction safety, and discloses a construction personnel safety monitoring system and a construction personnel safety monitoring method, which are used for improving safety monitoring of construction personnel. The construction personnel safety monitoring system comprises a dangerous region early warning device, an intelligent safety helmet, a local safety management terminal, a remote monitoring terminal and a mobile terminal, wherein monitoring data obtained by means of the dangerous region early warning device and the intelligent safety helmet can be respectively displayed and monitored in real time by means of the local safety management terminal and the remote monitoring terminal, and acousto-optic warning can be sent out inreal time by means of the dangerous region early warning device and the intelligent safety helmet, thereby realizing safety monitoring and early warning of construction operation of the construction personnel. According to the construction personnel safety monitoring system and the construction personnel safety monitoring method, the problems that the existing safety guarantee measures of the field construction personnel are inadequate and the safety monitoring of the field construction personnel is incomplete can be solved.

The embodiment of the invention provides a resource pre-warning method and a resource pre-warning system based on resource topology, applied to the technical field of information warning. The method comprises the steps of acquiring warning information in a network, and determining resources warned by the warning information are abnormal resources; acquiring a resource topological relation, wherein the resource topological relation is formed by arranging the resources in a configuration management database from the bottom up according to a dependency relation between resources in the configuration management database, and the lower-layer resources are applied to the upper-layer resources in the resource topological relation; selecting the upper-layer resources of the abnormal resources in the resource topological relation to serve as associated resources; and generating pre-warning information of the associated resources according to the warning information. According to the resource pre-warning method based on resource topology provided by the invention, a risk may be caused by warning is pre-warned.

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 invention relates to a digital movie theater device monitoring and maintenance system including a client, a monitoring server, a data exchange device, a management switch and a plurality of projection units. Each of the projection unit comprises an auditorium switch and a plurality of projection devices connected thereto. The auditorium switch is connected with the management switch. The client is connected with the monitoring server through the internet. The monitoring server, the data exchange device and the management switch are connected one by one. The system can monitor, maintain and process the work status of projection devices of a digital movie theater, solves the problem that digital projection device faults are difficult to find and process currently, can give early warning or warning in time, eliminates a problem in the bud, can quickly find the problem and deal with the problem when the problem happens, largely reduces the device fault time, and thus improves the operation efficiency and benefits.

The embodiment of the invention provides a rainfall amount-based geological disaster monitoring method and system. The method comprises the following steps: a base station monitors rainfall amount data of a region to be monitored to obtain the rainfall amount data of the region to be monitored; a corresponding control strategy is obtained according to the rainfall amount data, and is sent to an on-site acquisition terminal; the on-site acquisition terminal acquires disaster data of the region to be monitored according to the control strategy, and sends the acquired disaster data to a server through the base station, wherein the disaster data comprise at least one of inclination angle data, displacement data, settling data, prestress and seepage pressure data; the server analyzes the disaster data, thus obtaining an analysis result corresponding to a current geological disaster monitoring situation. According to the rainfall amount-based geological disaster monitoring method provided by the invention, the problem that in case of a geological disaster, key monitoring indexes cannot be measured and recorded in time and effectively due to the suddenness and the contingency of the geological disaster is avoided, and prewarning of the geological disaster is realized.

The invention discloses a smog detection apparatus for a household electrical appliance, a household electrical appliance and a control method thereof. The smog detection apparatus comprises a smog detection module for detecting smog concentration at the location of the household electrical appliance detected to generate smog detection signals and sending the smog detection signals, an automatic power-off module, and a control module which is respectively connected with the smog detection module and the automatic power-off module. The control module receives the smog detection signal to obtain a smog concentration value. When the smog concentration value is greater than or equal to a preset threshold, the control module determines whether the smog concentration value increases within a preset time, and sends a power-off signal to the automatic power-off module to cut off the power supply of the household electrical appliance when the smog concentration value increases within the preset time. The smog detection apparatus of the household electrical appliance realizes early warning for fire hazard, and prevents and reduces property loss of the user due to fire.