83 results about "Real time health monitoring" patented technology

The invention discloses a health-monitoring system of a distributed sensing fiber tunnel, comprising sensing fibers arranged in a tunnel and a processing system for collecting and processing the data of the sensing fibers which are distributed in the secondary lining concrete of the tunnel. The invention reasonably designs the health-monitoring detection network of the fibers, utilizes a fiber air-blowing technology and a tunnel vacuum aided grouting technology to embed the distributed sensing fibers in the secondary lining concrete and paste the distributed sensing fibers on the surface of the tunnel structure in a mode of reserving pre-buried grooves. The invention acquires an initial stress field by embedding sensing elements in the construction period and realizes the online, dynamic and real-time health monitoring of the tunnel structure.

Systems, apparatus, and program code, and methods for monitoring the health and other conditions of the valve, are provided. An exemplary system for monitoring the condition of the gate valve includes a logic module configured to perform the operations of receiving sensor data providing an acoustic emission, vibration, and / or stream level signature and determining the level of lubricity, level of friction, level of surface degradation, and leakage rate at a gate-valve seat interface. An exemplary method for monitoring the condition of the gate valve includes receiving sensor data providing an acoustic emission, vibration, and / or stream level signature and determining the level of lubricity, level of friction, level of surface degradation, and leakage rate at a gate-valve seat interface.

The invention discloses an oil-gas pipeline remote real-time health monitoring system based on Internet of Things. The oil-gas pipeline remote real-time health monitoring system mainly comprises data collection nodes, data aggregation nodes, a pipeline health real-time remote monitoring server and software. When the temperature, the pressure, the flow rate, the wall thickness and the leakage elastic waves of a pipeline exceed the threshold value, the data collection nodes automatically send out an uploading request that data are stored to the data aggregation nodes based on the operation mode of intelligent adjustment; after the data aggregation nodes respond to the request and the data are subjected to autonomous decision analysis, timestamp definition and preliminary screening of original collection signals are achieved; meanwhile, a sensor network collecting protocol is switched into a networking protocol, so that remote uploading of the effective data screened preliminarily is completed; and by using the algorithm special for pipeline leakage in the remote monitoring software and conducting periodic self-inspection and evaluation on the healthy state of the oil-gas pipeline and the healthy state of the system nodes, an alarm of accident potentials such as corrosion, leakage and explosion is sent to a client-side user.

The invention provides a real-time health monitoring and intelligent pre-warning system. The system is characterized by comprising a physiological parameter acquisition subsystem, an intelligent communication terminal and a remote monitoring service platform, wherein the physiological parameter acquisition subsystem is worn on the body of a user, and is used for sensing the physiological characteristic parameters of the user; the intelligent communication terminal is used for receiving the physiological characteristic parameters of the user from the physiological parameter acquisition subsystem, and transmitting the physiological characteristic parameters of the user and / or a comparison result of the physiological characteristic parameters of the user and corresponding abnormal threshold values to the remote monitoring service platform; the remote monitoring service platform is used for receiving the physiological parameters of the user and outputting health pre-warning based on the physiological parameter of the user. The invention further provides a real-time health monitoring and intelligent pre-warning method.

The invention discloses a stretchable self-healing hydrogel flexible strain sensor. A self-healing hydrogel with a high stretchability is obtained by a one-step sol-gel technology, and the multifunctional flexible strain sensor is obtained by packaging using an adhesive tape. The hydrogel-based flexible strain sensor has a high sensitivity factor, and can be used for detecting the tensile strain and the compressive stress; and real-time detection of small strenuous human exercises is achieved due to the high stretchability and the low hysteresis behavior. The interaction of unique coordinationbonds and hydrogen bonds in the hydrogel make the sensor have a short self-healing time and a high self-healing efficiency, so the problems of damages and no recovery after tensile failure of flexible sensors are solved. The flexible sensor designed in the invention has the advantages of simple preparation process, time and labor saving and excellent performances, and can be widely applied to thefields of real-time health monitoring, flexible robots, clinical diagnosis, flexible electronic skins and smart home products.

The invention relates to a remote and hierarchical accurate follow-up visit management system for chronic cardiovascular diseases, in particular to remote and accurate follow-up visit of various hospitals, communities or even family members for high-risk patients subjected to mechanotherapy or intervention operations of chronic cardiac failure, auricular fibrillation and cardiovascular diseases. The system comprises a health cloud server, a hierarchical diagnosis and treatment management system and application terminal equipment; multi-permission is set on a client and a server; the system is linked through WiFi (Wireless Fidelity) and / or a network; the health cloud server is provided with a data import function, an information collection function and a data statistic function; and a hierarchical health management platform is constructed. The system can carry out real-time health monitoring, assessment, consultation and diagnosis and treatment at any time and any place on health conditions of chronic disease patients, especially chronic cardiovascular disease patients, provides convenient, reliable, considerate and inexpensive digital health care services and lays a foundation for establishment of an internet hospital.

The invention discloses a railway health monitoring method based on a distributed optical fiber vibration sensing system. The railway health monitoring method comprises steps of using an existing communication optical fiber which is paved along a railway to perform sensing, capturing vibration information along the railway after a train passes, using data to constitute a waterfall plot which uses a gray scale to express intensity along a timeline, adopting a rim extraction algorithm based on dynamic planning to extract a track generated by a moving train after wavelet decomposition filtering is performed, marking off two areas, wherein one area is before the track and the other area is after the track, performing time frequency analysis on the track area and areas before and after the track, extracting a wheeltrack vibration characteristic frequency spectrum and a steel rail resonance characteristic frequency spectrum, obtaining wheeltrack vibration characteristic frequency and steel rail resonance characteristic frequency through a characteristic spectrum extraction algorithm, constantly repeating a monitoring process to obtain a change of a steel rail vibration characteristic along the time, and establishing a corresponding database. Newly collected data is compared with data inside the database and the database is updated, and health monitoring on the train and the steel rail is realized.

The invention discloses an Internet of Things-based health monitoring and security prewarning system of a crane metal structure. The Internet of Things-based health monitoring and security prewarning system comprises an Internet of Things sensing layer, an Internet of Things network layer and an Internet of Things application layer, wherein the Internet of Things sensing layer is used for acquiring an optical signal of a crane metal structure health parameter, demodulating the optical signal into an electric signal, compressing and packaging the sensing data electric signal and transmitting the compressed and packaged sensing data electric signal to the Internet of Things network layer; the Internet of Things network layer is used for receiving electric signal data, identifying the electric signal and sending identified data to the Internet of Things application layer; and the Internet of Things application layer is used for calculating the received data and judging that whether a warning signal is sent or not. The Internet of Things-based health monitoring and security prewarning system is capable of carrying out full-life circle real-time health monitoring and security prewarning on the heavy crane metal structure in an all-weather manner on the basis of an Internet of Things network, and has the characteristics of no electromagnetic interference, high precision, large measuring range, high reliability, long service life and the like.

The present invention relates to systems and methods for real-time health monitoring of engines to monitor turbomachinery blades during engine operation and report anomalous behavior and shape of the blades if it occurs, such as damage by FOD. The system comprises sensor(s) for obtaining a blade reflection profile from a blade passing by the sensor(s) during a revolution of the rotor in combination with a processor for performing timing calculations and / or fingerprint comparisons with reference data to identify a change in blade fingerprint relative to the reference data, which may indicate blade damage. Such systems can reduce operational costs, enhance safety and improve operational readiness by facilitating condition-based maintenance of engine rotors as opposed to schedule-based solutions. The invention can prevent the needless loss of life and assets caused by undetected minor levels of blade damage that may lead to unexpected catastrophic failure of an engine.

A real time health monitor deployed on a mobile device is disclosed. From one or more sensors sensing health information of a user, the real time health monitor automatically obtains at least one health related measurement. The real time health monitor computes at least one of a vitality index and a health index based on at least one health related measurement and classifies, based on the vitality and health indices, the health of the user into some predetermined health condition classes. The real time health monitor then transmits the classified health condition class(es), via network connection, to a health service engine and receives health assistance information that is adaptively determined in accordance with the health condition class(es).

The invention provides a monitoring service system for construction site workers. The system comprises a Bluetooth bracelet wore by a worker and a smart safety helmet, multiple locating base stations,multiple recharge / consumption base stations, a LoRA gateway, a cloud server and a monitoring center; the Bluetooth bracelet comprises a physiology / sport data collection module, a Bluetooth moduleand an electronic purse, each locating base station comprises a base station communication module and a LoRa module which are matched with the smart safety helmet communication module, and is placedon specific work areas and dangerous areas of a construction site, the wearer is located by communicating with the smart safety helmet, the data communicates with the LoRA gateway, the worker data canbe collected and monitored precisely, and safety protection is provided for the worker; the LoRA gateway communicates with the locating base stations and the recharge / consumption base stations to swap data, and the data communicates with the cloud server through a broadband network or a mobile communication network; the monitoring center uses one or more computers or smart phones to monitor site workers through the cloud server data, and provides health monitoring service, safety warning service and recharge / consumption service in real time for the worker.

The invention provides a human health characteristic big data intelligent calculation method and a human health characteristic big data intelligent calculation device integrating ZED vision. The humanhealth characteristic big data intelligent calculation method comprises the steps of: step 1, constructing a human body natural sign database and a human body extreme sports database; step 2, utilizing a ZED camera carried on a UAV to obtain heights of human bodies, and screening a human body group to be identified; step 3, performing rapid identification on human body face images to be identified based on a Hadoop platform by utilizing a PID neural network; step 4, tracking the identified human bodies by means of the UAV acquiring health data of human bodies to be identified and transmittingthe health data to a remote server; step 5, inputting the acquired health data and eye and mouth features into a human health assessment model based on a deep belief network DBN, and acquiring healthdetection degrees of the human bodies to be identified. The human health characteristic big data intelligent calculation method and the human health characteristic big data intelligent calculation device are based on a big data platform, utilize wearable equipment, the UAV and the binocular camera to acquire health information of human bodies participating in outdoor sports, and perform real-timehealth monitoring, so as to make a reasonable decision.

The invention relates to a real-time health monitoring system on the basis of implantable and wearable bio-sensing technologies, and belongs to the field of medical instruments. The real-time health monitoring system is characterized in that an implantable assembly is implanted in the body of a user, and wearable equipment positioned outside the body of the user can be communicated with the implantable assembly by the aid of passive NFC (near field communication) technologies and can provide electric energy for the implantable assembly by the aid of the NFC technologies; measurement data transmitted by the implantable assembly and measurement data obtained by a sensor in the wearable equipment can be displayed by the wearable equipment and also can be transmitted to mobile terminal equipment by the aid of wireless technologies, and measurement results can be fed. The real-time health monitoring system has the advantages that the data can be transmitted between the wearable equipment and implantable equipment by the aid of the passive NFC technologies, the energy can be transported between the wearable equipment and the implantable equipment by the aid of the passive NFC technologies, accordingly, the wearable equipment and the implantable equipment can be jointly used to form distributed sensing structures, the scale of the implantable equipment can be diminished to the greatest extent, and the implantable equipment can be effectively powered.

The invention discloses a method for monitoring noise and vibration of a power transformer. In the method, a plurality of monitoring units and a plurality of monitoring centers which are distributed in one area are involved, wherein each of the monitoring units comprises one or more copolymer piezoelectric sensing units for sensing the noise and the vibration of the power transformer with the frequency of 0.01 to 10kHz, and a signal processing unit; the signal processing unit preprocesses received sensing signals or data of the sensing units and sends the preprocessed sensing signals or data; the monitoring centers are used for receiving the data sent by the plurality of monitoring units in the area and analyzing the received data; and the monitoring centers can exchange data so as to acquire noise information and vibration information of all power transformers in the area, and forecast faults of the power transformers. The invention has the characteristics of low cost, easiness of installation and flexibility of networking; and real-time health monitoring and fault prealarming of a power transformer group can be realized.

The invention relates to an on-line vehicle bearing fault detection device, and in particular relates to an optical fiber on-line vehicle bearing fault detection device, aiming at solving the problems that an existing vehicle bearing fault detection device is easily interfered by vehicle equipment such as a motor as well as communication signals of a power grid, and real-time health monitoring accuracy of a heavy rail is low. The optical fiber on-line vehicle bearing fault detection device comprises a sensor, an analog to digital (A / D) converter, a signal processing system, a photoelectric detector, a broadband light source, a wavelength division multiplexer, a coupling, a scanning interferometer and a signal generator, wherein the output end of the sensor is communicated with the input end of the wavelength division multiplexer; the broadband light source is communicated with the input end of the wavelength division multiplexer; the wavelength division multiplexer is communicated with one signal end of the coupling; the coupling is communicated with the scanning interferometer; the signal generator is communicated with the scanning interferometer; thr signal output end of the coupling is communicated with the photoelectric detector; the photoelectric detector is communicated with the A / D converter; and the output end of the A / D converter is communicated with the signal processing system. The device is used for detecting the fault of an on-line vehicle bearing.

The invention discloses a real-time health monitoring system for old people. The monitoring system comprises a wearable electronic equipment module, a central health management module and a mobile terminal, wherein the wearable electronic equipment module and the mobile terminal are in communicating connection to the central health management module and the mobile terminal; the wearable electronic equipment module is used for monitoring such user body information parameters of a user as actions, body temperature, respiratory rate, blood pressure, pulse rate and the like as well as positional information and for transmitting the acquired information to the central health management module; the central health management module is used for receiving, analyzing and processing the user body information parameters which are transmitted by virtue of the wearable electronic equipment module and for transmitting analysis results to the mobile terminal; and the mobile terminal is used for receiving the user body information parameters and the positional information which are transmitted from the wearable electronic equipment module in real time as well as the analysis results which are transmitted from the central health management module. With the application of the real-time health monitoring system for the old people, health monitoring can be conducted on the user within 24h, so that body health of the user is guaranteed.

The invention discloses a carrier rocket health monitoring system and method. The method is provided for the specific measurement and launching complexity of a new generation of large-scale low-temperature carrier rocket. Mainly oriented to moon exploration, fire detection engineering narrow window and zero window emission task requirements are met; The system comprises a man-machine interaction subsystem, The system comprises a data service subsystem, a data management subsystem and a data acquisition subsystem, applies the technologies of big data, image recognition, voice recognition and intelligent search, makes full use of test data of multiple times and multiple fields, and achieves the functions of real-time health monitoring, rapid data analysis, auxiliary fault analysis and positioning and emission plan support of test and emission control of a large-scale low-temperature carrier rocket.

The invention discloses an intelligent pig raising monitoring method and a management terminal. The method comprises the following steps: acquiring a live pig monitoring video of live pigs in a farm in a raising process; identifying a walking track and an expression behavior of each live pig in the live pig monitoring video; and obtaining the health state of each live pig according to the walkingtrack and the expression behavior of each live pig. Video real-time monitoring is carried out on live pigs in the breeding process, so that a farmer can observe the growth condition of the live pigs in real time to judge the health state of the live pigs; and meanwhile, the walking track and the expression behavior of each live pig are automatically analyzed according to the monitored video system, so that the health state of each live pig is obtained, and intelligent real-time health monitoring is automatically provided for farmers.

The invention discloses a multi-parameter optical fiber sensing ship structure real-time health monitoring system, which comprises a 12-core band-shaped optical fiber grating strain sensor, an opticalfiber grating acceleration sensor of a flexible hinge, an optical fiber grating temperature sensor serving as temperature compensation, an optical fiber grating demodulator, a data processing moduleand a health detection and evaluation system. According to the novel flexible hinge fiber grating acceleration sensor used in the invention, by optimizing the structure of an arc-shaped flexible hinge, the elliptical hinge structure is introduced into a high-range FBG acceleration sensor to construct the design theory and the process technology of the FBG acceleration sensor based on the elliptical hinge, so that excellent sensor performance is obtained; and according to the data measured by the optical fiber grating sensor on a ship, whether the structural damage state reaches the service life is judged, so that safety accidents are prevented.

The invention discloses an RFID and GPS based nursing home intelligent management system. The system comprises a data center, a passive electronic label, a reader, a power supply module, a microprocessor, and a health monitoring module, a GPS positioning module, a memory and a data communication module which are respectively connected with the microprocessor. The passive electronic label stores identity information of a user, the health monitoring module is internally provided with a pressure sensor, a photoelectric pulse sensor and an analog-to-digital conversion circuit, acquires blood pressure signals and pulse signals through the sensors and converts analog signals into digital signals through the analog-to-digital conversion circuit so as to measure physiological indexes of a user in real time. The GPS positioning module is used for receiving GPS satellite positioning information in real time in an outdoor environment. The reader is divided into an entrance guard reader and a positioning reader and realizes indoor real-time positioning through reading the passive label in a passive mode. The system provided by the invention realizes real-time health monitoring of the elderly, can also realize indoor and outdoor positioning, and prevents the elderly from getting lost.

The invention discloses a method and a system applied to the in-situ crack detection of a wind generator blade. The method comprises the following steps: obtaining static responses of the wind generator blade under the condition that different loads are loaded by using an optic fiber grating sensor; calculating a Chi-square distribution curve among the static responses of the wind generator blade when the different static loads are loaded, and carrying multinomial reconstitution on the Chi-square distribution curve to obtain reconstruction curves; and by taking the Chi-square distribution reconstruction curves as different information sources, carrying out information fusion by using the reconstruction optimal accumulation theory to obtain an information fusion degree curve, and identifying the position of a crack of the wind generator blade according to the position of a maximum value of the information fusion degree curve. According to the method and the device, only the static responses of the wind generator blade when the different static loads are loaded are required; any data under the condition that the wind generator blade is complete is not required; the calculation is quick and accurate; the method and the device are simple, and liable to implement and are applicable to real-time health monitoring of the wind generator blade.

The invention relates to an intelligent watch used for health monitoring. The watch comprises a watch head part and watchband parts fixed to the two sides of the watch head part. The watch head part is provided with a main board, a controller, a wireless data transmission module, a heart rate sensor, a vibration motor, a touch screen and a battery. The battery is used for supplying power to the intelligent watch, and the controller is arranged on the main board. The wireless data transmission module, the heart rate sensor, the vibration motor and the touch screen are electrically connected with the controller. The watchband parts are provided with a pressure pulse sensor and a pressure signal processing circuit which are electrically connected, and the pressure signal processing circuit is electrically connected with the controller. A user can check a monitoring result on a smart phone or intelligent watch, personalized and real-time health monitoring and management are provided according to the monitoring result, and health analysis guide based on user living habits is achieved.

The invention relates to an electronic equipment health monitoring and early warning system and an electronic equipment health monitoring and early warning method. The physical parameters of a host electronic system circuit board of electronic equipment are monitored by a sensor, and sensor data is acquired and sent to an embedded control device, wherein the sensor data includes at least one of current data, vibration data, temperature data and voltage data. The embedded control device extracts the features of the sensor data to get feature data, makes real-time analysis and prediction according to the feature data, gets and displays a prediction result, and provides real-time health monitoring and real-time prediction information of the host electronic system circuit board for users. The performance degradation process of electronic equipment can be monitored in real time, the performance degradation trend of electronic equipment can be predicted, and failure prediction and health management functions of electronic equipment are achieved.

The invention provides a fiber grating intelligent composite material structure based on 3D printing, and the intelligent composite material structure comprises a composite material matrix and a fiber inside the composite material matrix; the fiber comprises a grating and a signal transmission tail fiber; the signal transmission tail fiber is lead out from the composite material matrix; part of the composite material matrix is printed through 3D printing and the rest of the composite material matrix is printed after adding the fiber through 3D printing. The composite material structure is printed through 3D printing; the intelligent healthy monitoring of the composite material structure that has a complex structure is realized by embedding the fiber grating in the material printing process; the installation position and the installation state of the fiber grating can be controlled because the 3D printing process can be interrupted at any time; the temperature and strain at any position of a composite material member can be monitored, and therefore the healthy real time monitoring of the composite material structure that has a complex structure is realized.

The invention discloses a scenic-area management system based on big data processing. The scenic-area management system based on big data processing comprises a handheld mobile terminal, a fixed terminal and a background server, wherein every two of the handheld mobile terminal, the fixed terminal and the background server are connected. According to the scenic-area management system based on bigdata processing, as every two of the handheld mobile terminal, the fixed terminal and the background server are connected, passenger flows between all scenic spots of a scenic area can be intelligently evacuated; meanwhile, through navigation guidance, tourists can rapidly understand passenger flow conditions of all the scenic spots, intelligent navigation is carried out, and therefore the tourists change touring routes in time; all the scenic spots are intelligently narrated, the touring requirements of more persons are met, and meanwhile health and safety of the tourists are fully guaranteedin cooperation with real-time health monitoring.

The invention discloses a phi-OTDR-based high-speed rail track health online monitoring method, which uses existing communication optical fibers laid along a railway for sensing to capture vibration information of the railway after a train passes by. The method comprises the following steps: organizing data into a waterfall plot with gray scale representing intensity according to a time axis, performing wavelet decomposition filtering, extracting a track generated by train running by adopting an edge extraction algorithm based on dynamic programming, and dividing two regions before and after the track; making time-frequency analysis on the track area and the areas before and after the track, extracting a wheeltrack vibration characteristic frequency spectrum and a steel rail resonance characteristic frequency spectrum, and obtaining a wheeltrack vibration characteristic frequency and a steel rail resonance characteristic frequency through a characteristic frequency spectrum extractionalgorithm; continuously repeating the monitoring process to obtain the change of the steel rail vibration characteristics along with time, and establishing a corresponding database; comparing the newly acquired data with the data in the database and updating the database to realize real-time health monitoring of the train and the steel rail.

The invention discloses an overhead transmission line health monitoring method based on a phase sensitive optical time domain reflectometer and a multi-core optical fiber. The method comprises the steps: using the phase sensitive optical time domain reflectometer phi-OTDR as a sensor, using a multi-core optical fiber MCF as a signal transmission medium and a sensitive element of a system at the same time, and enabling the multi-core optical fiber MCF to follow an overhead transmission line; performing segmented interception on a Rayleigh scattering curve obtained by each detection pulse, namely performing segmented interception on optical signals, acquired by the system, of a plurality of cores, and extracting all strain values required by shape reconstruction at one time by using a phi-OTDR detection data analysis system; and calculating the curvature radius of a shape change region of the multi-core optical fiber according to a geometric method for describing a space curve, and obtaining shape reconstruction characteristic values by solving a Frenet-Serret ordinary differential equation, so that the bending degree and the torsion degree of a measured cable can be determined. Comprehensive and real-time health monitoring of a galloping change rule of the overhead transmission line is realized.

The invention discloses a heart beat monitoring device, which is arranged on clothes, and is characterized by comprising an ECG (electrocardiosignal) collecting unit and miniature intelligent terminal equipment, wherein the ECG collecting unit is arranged at the inner side of the front part of the clothes, and is used for collecting human body ECGs; and the miniature intelligent terminal equipment comprises a data processing module and an output module, and is arranged at the outer side of the clothes. The heart beat monitoring device has the technical effects that through the heart beat monitoring device combined with the clothes and personal mobile equipment, the monitoring on the human body health is realized; and when a user has sudden disease symptoms, the heart beat monitoring device can give out warning prompt to remind the user of taking a good rest and receiving treatment in time. On the premise of not disturbing the daily life of the user, the effects of precise measurement, real-time health monitoring and the like are achieved.