314results about How to "Early warning" patented technology

A system and method for organization and analysis of complex and dynamically interactive time series is disclosed. One example comprises a processor based system for relational analysis of physiologic signals for providing early recognition of catastrophic and pathologic events such as pathophysiologic divergence. The processor is programmed to identify pathophysiologic divergence of at least one of first and second physiologic parameters in relationship to the other and to output an indication of the divergence. An object-based method of iterative relational processing waveform fragments in the time domain is described wherein each more complex waveform object inherits the characteristics of the waveform objects from which it is derived. The first physiologic parameter can be the amplitude and frequency of the variation in chest wall impedance or nasal pressure and the second parameter can be a measure or indication of the arterial oxygen saturation.

The invention provides an auto-tracking recognition system and a method. The system comprises a fixed viewing field camera, a suspicious object determination module, a trail tracking module, a control module, a variable viewing field camera, a picture recognition module, a contrast module and an alarm module, wherein, the suspicious object determination module is used for analyzing a video picture collected by the fixed viewing field camera, determining a suspicious object, and acquiring the position of the suspicious object; the trail tracking module is used for determining the motion trail of the suspicious object; the control module is used for outputting a control signal according to the position and the motion trail of the suspicious object; the variable viewing field camera is used for acquiring the video picture in accordance with the feature recognition requirement based on an adjustment parameter of the control signal; the picture recognition module is used for acquiring a feature parameter of the suspicious object; the contrast module is used for contrasting the acquired feature parameter with the feature information of the contrasted object in a feature database; and the alarm module is used for giving an alarm to the suspicious object in accordance with the set alarm condition. The invention can automatically track and collect detail pictures of the suspicious object, and efficiently realize the recognition of the suspicious object, thereby giving an early and reliable alarm.

Devices and methods for draining excess lymph fluid are disclosed. The device can be fixed to the blood vessel adjacent to the thoracic duct. The device can have a port for withdrawing lymph fluid exiting the thoracic duct. The device can have a cannula and/or subcutaneous port to draw the lymph fluid away from the thoracic duct and reduce hemostatic pressure in the lymphatic system.

The invention discloses an intelligent monitoring system and an on-site violation monitoring method for personnel violating rules and regulations on a working site. The system comprises a data storagelibrary and a plurality of video acquisition units arranged on a working site. The video acquisition units are in communication connection with the data storage library. The data storage library comprises a personnel information data unit, a face detection unit, a personnel information matching unit and a violation behavior detection unit, the personnel information data unit is in communication connection with the face detection unit, the face detection unit is in communication connection with the personnel information matching unit, and the personnel information matching unit is in communication connection with the violation behavior detection unit. Also provided is an onsite violation monitoring method. Through the machine vision learning network, different violation behaviors of the operating personnel can be early warned rapidly and effectively, factors such as weak personnel safety awareness, behavior habits and difficulty in traditional video monitoring and recognition can be effectively avoided, potential safety hazards caused by the violation behaviors are effectively prevented, and the safety of site construction is improved.

A system and method for organization and analysis of complex and dynamically interactive time series is disclosed. One example comprises a processor based system for relational analysis of physiologic signals for providing early recognition of catastrophic and pathologic events such as pathophysiologic divergence. The processor is programmed to identify pathophysiologic divergence of at least one of first and second physiologic parameters in relationship to the other and to output an indication of the divergence. An object-based method of iterative relational processing waveform fragments in the time domain is described wherein each more complex waveform object inherits the characteristics of the waveform objects from which it is derived. The first physiologic parameter can be the amplitude and frequency of the variation in chest wall impedance or nasal pressure and the second parameter can be a measure or indication of the arterial oxygen saturation.

The invention provides a website security monitoring method and device. The method comprises the following steps: extracting web page content information from web pages corresponding to each web address of a target website, wherein the web page content information includes at least one of video information, picture information or text information; separately determining whether malicious information exists in the web page content information of each web page; when the malicious information exists in the web page content information in any web page, determining that the target website is an abnormal website; sending prompt information to a management terminal corresponding to the abnormal website to ensure that corresponding managers maintain the abnormal website; and/or, closing an accesschannel of the abnormal website or deleting abnormal web pages with the malicious information to prevent user terminals from continuing to access the abnormal website or web pages. According to the method and device, the web page contents of the target website can be monitored in real time, rapid early warnings can be made when identifying that the malicious information exists in the web page contents, and thus the full range of security protection on the target website can be achieved.

The application discloses an infrared epidemic situation intelligent comprehensive detection and identification system. The system comprises an identity information authentication unit used for obtaining certificate information of a detected person and sending the certificate information to a comprehensive information processing platform; a visible light face recognition unit used for collecting aface image of a detected person and sending the face image to the comprehensive information processing platform; a comprehensive information processing platform used for extracting face texture features in the face image, generating a recognition image, and sending a body temperature detection instruction when judging that the recognition image is matched with the identity card photo image; an infrared human body temperature measurement unit used for acquiring an infrared body temperature image of a measured person and sending the infrared body temperature image to the comprehensive information processing platform; and the comprehensive information processing platform also used for calculating the forehead temperature of the human body of the measured person, and establishing a monitoringrecord file of the measured person by adopting an SQL database in combination with the position coordinates and the detection time. According to the technical scheme, the problems of body temperaturescreening, personnel confirmation, comprehensive information acquisition, remote data sharing and the like are solved.

The invention discloses a mechanical equipment fault intelligent early warning method based on multivariate estimation and prediction. The method comprises the following steps: step 1, modeling a datasubset; step 2, preprocessing the modeling data subset; step 3, constructing a prediction model of the mechanical equipment state parameters and the working condition parameters; step 4, estimating and predicting the state parameters of the mechanical equipment corresponding to the actually measured state parameters in a normal operation state; step 5, subtracting the actual measurement result ofthe state parameter from the prediction result to obtain a residual value of the state parameter, judging whether the absolute value and the growth trend of the residual value exceed corresponding threshold values or not, further detecting the fault abnormality of the equipment and giving an alarm; the intelligent early warning model of the mechanical equipment is established based on the multivariate estimation prediction method, and then intelligent early warning of the variable working condition mechanical equipment fault is achieved. Compared with a traditional mechanical equipment faultearly warning method, the method has the advantages of being high in prediction precision, high in early warning accuracy and more timely in early warning.

The invention provides a motor vehicle driving monitoring method based on the Internet of vehicles. The motor vehicle driving monitoring method comprises the following steps: collecting at least one driving data of a motor vehicle in a travelling state; storing the driving data; judging whether driving accident data exist in the driving data; and transmitting the driving data to at least one big data server. The invention further provides a motor vehicle parking monitoring method based on the Internet of vehicles. The motor vehicle parking monitoring method comprises the following steps: confirming that the motor vehicle has an accident in a parking state; collecting at least one parking data of the motor vehicle in the parking state; storing the parking data; locking the parking data after the accident; and transmitting the parking data to at least one big data server. The motor vehicle driving monitoring method and parking monitoring method based on the Internet of vehicles provided by the invention have the advantages that the image data and the driving data or the parking data of the motor vehicle can be uploaded to the server and a mobile communication terminal in time in a wireless communication mode, the scheduling is convenient and the storage space is saved.

A collision warning device for motor vehicles includes: a locating system for locating objects in the area in front of the vehicle; a control device for evaluating the data of the locating system and for outputting a warning signal in the event of an imminent risk of a collision; and a detection module for detecting the course of guardrails with the aid of the data of the locating system. In the control device an additional warning function is implemented, which calculates, with the aid of the dynamic state of the vehicle and with the aid of the detected guardrail course, a parameter for the transverse dynamics of the vehicle, which is required to avert a collision with the guardrail, and which outputs a warning signal when this parameter is larger than a predefined value.

A rapid early-warning system based on a phase-sensitive optical time-domain reflectometer includes a disturbance monitoring and positioning module, and a disturbance signal identifying module. The disturbance monitoring and positioning module: a disturbance monitoring part performs difference on the beat signal intensity of a phase-sensitive optical time-domain reflectometer, the rapid early-warning system based on the phase-sensitive optical time-domain reflectometer can monitor the difference of the beat signal intensity all the time, and once the difference of the beat signal intensity changes, it means that a disturbance signal generated by disturbance occurs; and a positioning module can determine position information of a disturbance point through the time difference of an optical time-domain reflectometer echo. The disturbance signal identifying module includes a pre-treatment module, a feature extraction module, a template training module, a pattern classification module, and a post-treatment module; template training means that templates of a plurality of types of signals can be constructed according to features of a series of different types of disturbance signals; the features of the disturbance signals and preset templates of the plurality of types of signals are matched, and the types of the signals can be determined according the matching degrees; and a warning measure or a no-warning measure can be preformed according to a result of pattern classification.

The invention provides a Spark-based big data network log acquisition, analysis and early warning method and system. The system comprises: a log original file acquisition module (101) for acquiring alog original file; a log acquisition module (102) which is used for acquiring log data according to the log original file; a log storage module (103) which is used for storing log data; a data logic processing module (104) which is used for carrying out log data analysis and parallel calculation to obtain a log analysis result; an analysis result storage module (105) which is used for storing loganalysis results; and a visual display and early warning module (106) which is used for reading the log analysis result, displaying the log analysis result or/and sending an operation and maintenanceearly warning prompt. According to the method, real-time processing and offline processing are combined, related information of the website can be conveniently and rapidly analyzed and early warned, it is avoided that a large amount of time is spent in finding fault points, the operation efficiency is improved, and the stability and safety of the website are guaranteed.

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.

Disclosed are foreign object detection systems with control logic for governing use of vehicle door assemblies, and motor vehicles equipped with such FOD systems and logic. Methods are disclosed for regulating operation of a vehicle door locking mechanism. One method includes a vehicle controller determining the operating status of a control protocol that governs use of the locking mechanism. If the operating status is active, the controller receives sensor signals indicative of a location and/or velocity of an object within the sensor's supervision field. If the object is located within a protected door zone and/or the object's velocity is towards the protected zone, the controller determines whether the locking mechanism is locked or unlocked. If the locking mechanism is locked, the controller commands the locking mechanism to maintain the locked state. Conversely, if the locking mechanism is unlocked, the controller commands the locking mechanism to lock and maintain this state.

The invention provides an automatic monitoring method and system for open source component vulnerabilities. The automatic monitoring method comprises the following steps: scheduling crawlers to searchand capture data newly published by bug disclosure platforms at home and abroad; recording the grabbed data and updating the grabbed data to a local open source component vulnerability library; scheduling an open source component used by the fingerprint scanner detection system and service, recording a scanning result and updating the scanning result to an open source component database; matchingthe grabbed data with information in an open source component database to screen components with risks at present; and performing early warning on related responsible persons by a scheduling component vulnerability feedback recording mechanism. The automatic monitoring method can realize Automatic vulnerability early warning tracking and security construction, so that security personnel only needto pay attention to screened vulnerabilities related to products and companies. Therefore, the extra-large workload is saved, and the security vulnerability discovery and tracking efficiency is improved; the vulnerability tracking range is expanded; and the latest burst vulnerability can be responded within 24 hours, so that the company network security response timeliness is improved.

The invention discloses an anti-external force monitoring early warning method of an electric transmission line based on image recognition. According to the method, on the basis of an original electric transmission line remote monitoring system, an image recognition analysis module, an early warning information processing module and an early warning information display module are additionally arranged, an image recognition technology is used for analyzing data collected by a monitoring device, and the analysis result is transmitted to monitoring personnel in time in an early warning mode. The monitoring early warning method includes the following steps of (1) receiving an image, (b) preprocessing the image, (c) setting a warning trigger rule, (d) detecting a target, (e) analyzing the target, (f) conducting automatic alarm, (g) processing alarm information and (h) previewing a warning image and examining the image. The anti-external force monitoring early warning method of the electric transmission line based on image recognition has the advantages that cost is low, the image recognition method is simple, anti-external force monitoring data of the electric transmission line can be analyzed and calculated in real time, the abnormal condition on site can be subjected to quick early warning, and thus good economic benefits can be achieved.

The invention discloses an intelligent logistics service system. The system comprises a data acquisition layer for acquiring data of a logistics service scene, a cloud computing processing center forcomputing, processing and analyzing the data of a specific logistics service scene, an external access interface provided and supported by the cloud computing processing center, a data storage centerfor storing various data required by a user, and an edge computing center. The edge computing center is provided with a unified access gateway used for receiving the data acquired by the data acquisition layer, and the edge computing center has a function of preprocessing the data acquired by the data acquisition layer and a function of predicting a specific scene or a special situation through amodel at the same time. Through the introduction of the edge computing center, the intelligent logistics service system can achieve the quick analysis and early warning of special conditions in the logistics service, also can improve the safety of logistics service management, and also reduces the analysis and prediction time of numerous and numerous logistics service data.

The invention discloses a bridge crack real-time monitoring and quick pre-warning device which comprises binocular vision sensors, loudspeakers, safety railings and a monitoring system. The lower portion of the bridge face between every two piers of a bridge is provided with a combined binocular vision sensor part, the binocular vision sensors are arranged on the top of a bridge protective handrail at intervals, information collecting results of all combined binocular vision sensor parts and the binocular vision sensors are transmitted to a monitoring main machine remotely in a wireless mode, the two ends of the bridge are respectively provided with one safety railing, and each safety railing is provided with one loudspeaker. The bridge crack real-time monitoring and quick pre-warning device can monitor and judge the size of a crack of the bridge and the dangerous level of the crack in real time, and can monitor sudden enlargement of the small crack in real time so as to enable vehicles on the bridge to pass or stop, and the ability to monitor and prewarn sudden dangers is improved.