53results about How to "Reflect health status" patented technology

The invention relates to an intelligent diagnosis method for bridge telescopic seam injury based on girder end longitudinal displacement. The long-term monitoring data of main girder longitudinal displacement, temperature and vertical acceleration after a bridge is built are obtained by mounting a small number of sensors on the bridge; a relevance model of the main girder longitudinal displacement, the bridge temperature and the vertical acceleration in a healthy state is established step by step; the influence of the main girder temperature and the vertical acceleration on the longitudinal displacement can be eliminated on the basis of the relevance model, and the environment condition uniformization displacement which can reflect a working state of a telescopic seam is obtained. When the method is applied to the injury diagnosis of the telescopic seam, the monitoring data in an unknown state are processed just by adopting the established relevance model, and finally, the environment condition uniformization displacement of the healthy state and the unknown state is simultaneously input into a mean value control map; and if the telescopic seam generates injury, a sample point of the control map can exceed a control line, thereby realizing the intelligent recognition on the injury of the telescopic seam.

The invention discloses a distribution transformer health state evaluation method based on real-time operation information. The method comprises the following steps: step 1, selecting evaluation indexes, i.e., selecting a load rate, a voltage bias, a three-phase imbalance degree, a harmonic total distortion rate as the evaluation indexes; step 2, quantifying the indexes, i.e., calculating a health state reduced score of each index, and accordingly, according to Si=100-SDi, obtaining a health state score Si of each index; step 3, distributing index weights, i.e., calculating a weight of each index by use of a weight varying method; and step 4, calculating a state evaluation score, i.e., after the weight of each index is obtained, calculating a health state integrated score S<operation> of a distribution transformer according to a formula indicated in the descriptions. According to the invention, the real-time operation information is taken as an evaluation index for combination with an existing state evaluation technology, such that the defect of timeliness of a conventional maintenance technology is made up for, and the health state of the transformer is reflected more timely.

The invention provides a pet health analysis management system which comprises data acquisition devices, a cloud service, a transfer communication device and a mobile terminal. Pet data are acquired by the aid of a distributed sensing network mode, a pet health analysis management model is built, pet health states are analyzed, the data acquisition device are provided with an intelligent food bowl, an intelligent basin and an intelligent necklace or a pet bed, and the pet data includes pet food intake data, water intake data, exercise amount data, body temperature data and body weight data. According to the system, the data acquisition devices are distributed, stability and reliability of transmission of acquired data and control instructions are effectively guaranteed, the system is flexible is in network construction and can be applicable to application scenes such as family application and commercial application, pet health is managed by building and optimizing the pet health analysis management, excellent model data can be recommended to other mobile terminals after models are improved, and optimized model data are shared.

The invention provides a satellite fault diagnosis and prediction method based on evidential reasoning (ER). An analytic ER method is applied to satellite fault diagnosis, a fault diagnosis result at former p time and a fault diagnosis result at the current time respectively serve as input and output of a neural network to train the neural network, correlation between the former p time and the current time is found out, and fault prediction is thus completed. The invention provides a nonlinear complicated system fault diagnosis and prediction method in a multi-parameter condition, feature parameters outputted by the fault diagnosis are used for prediction and modeling, and the health condition of an inertial platform at the next time can be reflected more intuitively and effectively.

The invention discloses an epicyclic gear box fault information acquisition system and a method thereof. The system comprises an inner gear ring, a planetary gear and a sun gear, wherein the inner gear ring, the planetary gear and the sun gear together form an epicyclic gear box. The inner gear ring is immobilized. The sun gear is rotating around the central axis thereof. The planetary gear orbits around the sun gear while revolving on its axis. A plurality of successive gear teeth on the inner gear ring are adopted as detection teeth. A fiber bragg grating array is stuck onto the tooth root parts of the detection teeth. The light emitted from a broadband light source is transmitted to the fiber bragg grating array via an optical fiber a, a coupler and an optical fiber c. The reflected light passes through optical fiber c, the coupler and an optical fiber b to enter a wavelength demodulation part. After the demodulation process, a voltage signal is subjected to the data processing treatment by a computer through a data acquisition part. The computer constructs a tooth root strain sequence and extracts the fault information of the epicyclic gear box. According to the technical scheme of the invention, the defect in the prior art that due to the nonlinear and non-stable characteristics of vibration signals, the fault of the epicyclic gear box is hard in diagnosis can be overcome.

The invention belongs to the technical field of electronic measurement and relates to a method for measuring stress-strain of a cross arm of a power tower, in particular to a method for measuring the deformation of duckbill-type cross arm primary sheets. The method of the invention comprises the following steps: attaching the fiber Bragg grating to the primary materials of the cross arm; converting the linear strain of each primary sheet of the cross arm into a wavelength displacement of the fiber Bragg grating; connecting the fiber Bragg grating with a signal processor; and computing the displacement of the central wavelength of the fiber Bragg grating by means of the demodulator of the signal processor. The measurement method of the invention has the advantages of accuracy and reliability and can reflect the complex stress situations of the cross arm and realize real-time on-line monitoring.

The invention discloses an estimation method of SOC of a lithium battery. The method includes following steps: step 1, inputting an original data set; step 2, cleaning the original data set, and extracting a required data field; step 3, setting an initial value of a genetic algorithm, and selecting adoption of a mean square error of a nonlinear autoregression external source input neural network prediction result to be regarded as a fitness function of the genetic algorithm; step 4, establishing a neural network; step 5, optimizing the genetic algorithm; and step 6, training a prediction model. According to the method, the genetic algorithm and the non-linear autoregression external source input neural network are combined together so that the workload and the time for searching the optimal neural network parameter can be reduced, the SOC of the lithium battery is accurately predicted, and the health condition of the battery can be reflected.

The invention discloses a human health evaluation method and evaluation system based on sleep big data. The health big data research refers to stably obtaining human vital sign data for a long-term ina continuous growth manner, and adopting the advanced data mining technology to be clearly describe the physical state of a human individual and predict the future of the health of the human individual. The human health evaluation method includes: acquiring physiological data of the human body during sleep and storing the physiological data in a cloud server through a sensor mounted on a bed; andusing an artificial intelligence learning model to obtain human physiological evaluation indexes and generate a human health state analysis report. The data of the sensor mounted on the bed is acquired, artificial intelligence learning model data training is performed, the model can automatically learn features associated with the human health, and then the time cost of manually selecting and constructing features can be saved, the purpose of accurately predicting diseases can be achieved, and a disease type can be directly acquired in the health evaluation report by training a classifier model.

The invention discloses a skin detection device, a product information determination method, a device and a system, belonging to the skin detection field. The skin detection device comprises a processor and a pattern recognition sensor, wherein the pattern recognition sensor is used for detecting the surface pattern of the skin to be detected; the processor is used for determining the surface smoothness of the skin to be detected according to the surface grain of the skin to be detected. The problem that the skin detecting device cannot independently complete the detection of the skin health condition is solved, a situation the skin detecting device to independently complete the health detection of the skin to be detected is achieved, and the devices, the method and the system are used forthe detection of the skin.

A method for evaluating a cardiac function by using pulse waves includes the following steps: (1) acquiring a finger tip photoelectric capacity pulse wave signal through a photoelectric capacity sensor; (2) amplifying and filtering the finger tip photoelectric capacity pulse wave signal; (3) separating alternating quantity; (4) performing analog-to-digital conversion on the alternating quantity, and performing re-sampling on the converted digital signal to acquire a pulse waveform; (5) determining the pulse rate PR by using feature points of the pulse waveform; (6) segmenting the signal by using ascending ramus start point of the pulse waveform, acquiring waveform feature parameters for reflecting the human body cardiovascular resistance and a microvessel microcirculation state, and acquiring parameters including the cardiac output, the cardiac index, the stroke volume, and the stroke index which can reflect the cardiac function. The method can acquire the pulse wave signal of a human body through photoelectric capacity pulse waves, can evaluate the cardiac function through the pulse waves without drawing blood, can avoid injure, is high in adaptability, is simple in detection, is high in efficiency, and can accurately reflect the health condition of the cardiac function.

The invention discloses a monitor of the state of health of a motor. The monitor comprises a data acquisition unit, a data processing unit, a storage unit, a display unit and a transmission unit, thedata acquisition unit comprises a vibration temperature integrated sensor and used for measuring vibration of the motor and a bearing temperature, the data processing unit samples and processes data acquired by the data acquisition unit, the storage unit stores a vibration total value, a vibration frequency spectrum, an enveloping total value, an enveloping frequency spectrum and the bearing temperature obtained by processing of the data processing unit, the display unit displays the vibration total value, the enveloping total value and the bearing temperature obtained through acquisition andprocessing, and the transmission unit transmits the stored data to the outside in a wireless manner by employing automatic timed transmission or manual transmission. According to the motor, the vibration of the motor, the bearing temperature, and the damage state of bearing parts can be simultaneously monitored, and the state of health of the motor is expressed in a comprehensive manner through multiple parameters.

The invention provides an intelligent pedestal pan with an automatic excrement detection function. The intelligent pedestal pan comprises a temperature sensor, a urine detection sensor, a hemoglobin detection sensor, a control module and a memory module, wherein the temperature sensor, the urine detection sensor and the hemoglobin detection sensor are mounted on a dirt discharging hole of the intelligent pedestal pan; the control module is arranged on one side of an outer wall of the intelligent pedestal pan; the memory module is arranged on the intelligent pedestal pan; the temperature sensor, the urine detection sensor, the hemoglobin detection sensor and the memory module are connected with the control module respectively. According to the content above, excrement can be precisely and automatically detected; when the excrement is detected, the urine detection sensor and the hemoglobin detection sensor automatically work, so that measured urine sugar information, urine pH value information and hemoglobin information are relatively accurate, and a health condition of a user can be reflected very well.

The invention relates to a power equipment monitoring system, in particular to an intelligent cloud monitoring system of a lightning arrester. The system comprises intelligent cloud sensors of the lightning arrester, an intelligent cloud monitoring device of the lightning arrester and an intelligent cloud monitoring platform of the lightning arrester; the intelligent cloud sensors of the lightningarrester are linked with the intelligent cloud monitoring device of the lightning arrester through a wireless network; the intelligent cloud sensors of the lightning arrester are arranged on all phases of buses of transformer substations and transmit real-time data to the intelligent cloud monitoring device of the lightning arrester through the wireless network. The system can not only display all pieces of data and curves of the lightning arrester in real time but also conduct cloud diagnosis, intelligent judgment and expert analysis on collected big data, maintenance personnel can understand the physical conditions of the lightning arrester conveniently, and power equipment is endowed with new capabilities and vitality, so that a power grid is stronger and more intelligent.

The invention discloses a water drinking device controllable in water amount for chicks. The device is characterized by comprising a water purification water source, an RFID reader, a total processor with an internal timing module, and a water trough only for a single chick to drink water; a water outlet of the water purification water source is provided with a flow electronic control valve in communication connection with the total processor, and the water trough is located under the water outlet and internally provided with a water level sensor in communication connection with the total processor; one side of the water trough is provided with the RFID reader in communication connection with the total processor, and the RFID reader can be in communication connection with an RFID tag fixed to each chick. The water drinking device can effectively control water drinking amount of the chicks and effectively monitor the health condition of the chicks.

The invention discloses a method for establishing technical indicators of abundance of free and parasitic symbiotic algae of a coral and a coral bleaching warning coefficient H. The method comprises the following steps: establishing an abundance indicator of free-state symbiotic algae in a coral growth sea area ocean environment, establishing an abundance indicator of parasitic-state symbiotic algae in the body of the coral, and establishing the coral bleaching warning coefficient H. According to the method disclosed by the invention, the sea water which is collected from various types of field seawater samples and experimental samples of aquariums can be determined accurately; time and space dynamics can be monitored for a long time and a short time; therefore, the method has a broad application prospect.

The invention relates to the technical field of biology, in particular to application and a detection kit of SNP sites. The invention provides the application of the 60 SNP sites to assessment on post-liver transplantation graft injury and rejection risk; through detection on the specific 60 SNP sites of total receptor free DNA after transplantation and combination with a specific calculating method, the content of donor free DNA in the receptor free DNA, namely GcfDNA donor and receptor ratio is finally obtained; the degree of graft rejection is quickly and accurately judged according to the GcfDNA donor and receptor ratio without any intrusive detection, and a simple and effective auxiliary means is provided for clinical detection on the post-organ transplantation graft injury and the rejection risk.

The invention discloses a shortwave receiving antenna efficiency aerial three-dimensional wireless automatic detection system and method. The system mainly comprises a transmitting antenna for test, a lithium battery power supply module, a power amplification module, a wireless network module, a radio frequency generating module, an ARM system main control system, a radio frequency signal acquisition module and the like; the execution and calculation part of the system mainly comprises an unmanned aerial vehicle detection flight path planning module, a detection data analysis, modeling and evaluation module and a record report storage and graphic presentation module; certain radio frequency power signals are radiated to a receiving antenna to be tested in an omni-directional spatial three-dimensional manner; the change conditions of radio frequency signals induced by the shortwave receiving antenna are detected in real time; the actual receiving efficiency and other information of the shortwave receiving antenna are measured, recorded, stored and transmitted; the heath state of the shortwave receiving antenna is judged; and related models are built for the performance change trends, residual service life, availability, and other content of the shortwave receiving antenna, so that comprehensive assessment can be performed.

The invention discloses a method and device for measuring the dynamic heart rate and a smartwatch. According to the method and device for measuring the dynamic heart rate and the smartwatch, after electric signals directly received by a photoelectric sensor are subjected to hardware filtering, interference signals are intelligently filtered through low-order digital filtering software, the resting heart rate of a user is obtained through the signal cycle calculation method, and finally the resting heart rate is used as an initial filtering parameter to perform dynamic software filtering, so that the accurate dynamic heart rate of the user in the motion state is obtained, the health condition of the user can be reflected more realistically, and user experience is improved.

An embodiment of the invention discloses a cardiovascular index detection and model training method and device. The method comprises acquiring collected photoplethysmographic (PPG) signals of an object to be detected; determining each cardiac cycle in the PPG signals, and performing feature extraction on the signal corresponding to each cardiac cycle based on a pre-trained convolutional neural network (CNN) to obtain a feature vector of each cardiac cycle; regressing each feature vector based on a preset cardiovascular index function to obtain a cardiovascular index corresponding to each cardiac cycle; determining a cardiovascular index of the object to be detected according to the cardiovascular index corresponding to each cardiac cycle, wherein the CNN is obtained by conducting trainingusing a sample cardiac cycle and the corresponding standard cardiovascular index, and the cardiovascular index is used for indicating the cardiovascular health. The method and device can improve the detection accuracy of the cardiovascular index.

The invention discloses a crab disease judging method and a diagnosis device. The crab disease judging method is characterized by including steps of detecting sound production frequency spectrums of ahealth crab and a sick crab; analyzing the sound production frequency spectrum structure and every part proportional relationship, shape and number of sharp peak; after comparing with the health standard spectrum, diagnosing the health status and disease type of crab sample. The method avoids the shortcomings of big subjective element of an artificial observation method, need of experimental place and ultra-clean workbench of microorganism identifying method, and long consumed time. The crab disease judging method is applicable to study crab pathology and physiological behavior characteristics in universities and colleges, and scientific research institution; administrative departments can publish the aquatic product disaster situation timely. For a large culture pond, the method can be applied to set up a set of full-day system for monitoring health status of crabs, thus the crab disease can be found in advance, the pond is handled timely, and happening of large scale culture diseaseis prevented.

The invention discloses a health evaluation method suitable for a reclaimed water replenishment river. The health evaluation method is applied to the fields of sewage recycling and water environment monitoring and evaluation. The method comprises the following steps: firstly, arranging sampling points according to a reclaimed water supply port and upstream and downstream conditions thereof, collecting a water sample and a bottom mud sample, and carrying out detection and index calculation on hydrology, water quality, water ecology and microbial communities; secondly, screening hydrology, water quality, water ecology and microbiological indexes by adopting principal component analysis and correlation analysis methods; thirdly, carrying out weight calculation on the standardized index data by adopting an entropy weight method; and finally, according to the indexes and the weights thereof, calculating comprehensive health indexes, and dividing five health evaluation grades according to quantiles. According to the method, the defect that a health evaluation method for reclaimed water replenishment rivers is lacked is overcome, and the long-term health influence of reclaimed water on the river water environment can be reflected.

The invention discloses a spatial stereo wireless automatic monitoring system and method for short wave emission antenna efficiency. The system comprises a monitoring, a lithium battery power supply module, an SD card spare storage module, a wireless network module, an integrated test module, an ARM system master control module and other parts. A monitoring control management and data processing server comprises a UAV monitoring flight path planning module, a wireless network module, a monitoring data recording and storage module, a monitoring data analysis and processing module, a record report and graph representing module and a monitoring data modeling and evaluation module. According to the invention, the real-time detection of the change of the spatial electromagnetic signal during the operation of the short wave emission antenna, the measurement, recording and storage of information of the actual radiation efficiency and the like is carried out. The real-time monitoring data combined with the actual flight path of the UAV are processed by the existing stereo space model. Compared with the theoretical threshold, the health status of the short wave emission antenna is determined, and related modes for the performance change of the short wave emission antenna, the remaining life and the availability are established.

The present invention provides a satellite fault diagnosis and prediction method based on evidence reasoning. The analytical ER method is applied to the satellite fault diagnosis, and the fault diagnosis result at the previous p moment and the diagnosis result at the current moment are respectively used as the input and the diagnosis result of the neural network. The output trains the neural network to find out the relationship between the previous p time and the current time, and then complete the fault prediction. The invention provides a nonlinear complex system fault diagnosis and prediction method under multi-parameter condition. Predictive modeling using the characteristic parameters output by fault diagnosis can more intuitively and effectively reflect the health status of the inertial platform at the next moment.

The invention relates to the technical field of biology, in particular to applications of SNP (single nucleotide polymorphism) sites as well as primers, probes and a detection kit for the SNP sites, and particularly provides applications of 40 SNP sites in evaluation of transplant damage and rejection risk after renal transplantation. The 40 specific SNP sites of total free DNA of a receptor after transplantation are detected, and by means of combination with a specific calculation method, content of free DNA of a donor in free DNA of the receptor is obtained finally, that is, GcfDNA donor-receptor ratio is obtained; the degree of transplant rejection is judged rapidly and accurately according to the GcfDNA donor-receptor ratio, any intrusive detection is not needed, and one simple and effective auxiliary means is provided for clinical detection of the transplant damage and rejection risk after organ transplantation.

The invention provides a hydrogen energy storage and transportation equipment safety monitoring system and method, and the system comprises a detection pulse generation device which is used for transmitting a detection pulse; the weak grating array is coated with a hydrogen sensitive material and laid on the surface of the hydrogen energy storage and transportation equipment, the hydrogen sensitive material is used for detecting hydrogen leakage, and the weak grating array is used for receiving the detection pulse and reflecting a reflection signal; and the photoelectric detector is used for receiving the reflected signal and demodulating temperature information, hydrogen concentration information and vibration information. The safety monitoring system for the hydrogen energy storage and transportation equipment provided by the invention can monitor hydrogen leakage of a pipeline in real time, can monitor real-time signals of temperature, vibration and hydrogen concentration in safety monitoring of the hydrogen energy storage and transportation equipment, can better reflect the health condition of the equipment, monitors whether potential safety hazards of hydrogen leakage and hydrogen permeation exist or not, and improves the safety of the equipment. And potential safety hazards are eliminated in time.

The invention provides a bathroom electric appliance system and a data management method based on the same. The bathroom electric appliance system comprises a health detection assembly and a control device, wherein the health detection assembly is assembled in the bathroom and is configured to detect body data of the bathroom user; and the control device is in data connection with the health detection assembly and configured to acquire and store the body data detected by the health detection assembly, the control device is fixed on the wall of the bathroom and is provided with a mirror display screen facing the inner part of the bathroom, and the mirror display screen serves as a bath mirror in the bathroom and is configured to display at least part of the body data. By using the bathroom electric appliance system of the invention, the bathroom space functions are expanded, the health condition of the user can be accurately reflected, the body detection result can be intuitively displayed to the user and the use experience of the user is improved.

The invention discloses a river ecological runoff assessment method based on a flow hydrograph, and belongs to the field of ecological hydrology, and the IPC classification number of the river ecological runoff assessment method is E02B1 / 00. The evaluation method comprises the steps of obtaining a lower quartile flow hydrograph and an upper quartile flow hydrograph according to a hydrometric station year-by-year flow hydrograph, and defining monthly runoff calculated by the two flow hydrographs as monthly minimum ecological water demand and monthly maximum ecological water demand respectively, wherein the ratio of the runoff volume lower than the lower quartile flow hydrograph in each month to the minimum ecological water demand of the month is a monthly ecological deficit, and the ratio of the runoff volume higher than the upper quartile flow hydrograph in each month to the maximum ecological water demand of the month is a monthly ecological surplus; and the annual ecological surplus or the annual ecological deficit is the sum of all monthly ecological surplus or ecological deficit in the whole year. According to the method, the defects of an existing flow duration curve method are overcome, and the health condition of a river ecosystem can be better reflected.

According to the comprehensive evaluation method for water gate engineering health diagnosis, a subjective weighting method and an objective weighting method are fused, so that a weight calculation result is more reasonable and reliable, and the comprehensive evaluation method is combined with a water gate health diagnosis matter-element model based on quaternary correlates to form a complete evaluation system. Through the water gate health diagnosis matter-element model based on the quaternary connection number, the health state of the water gate is accurately reflected, the health state to which each diagnosis index belongs can also be well reflected, so that a good basis can be provided for maintenance and reinforcement, and meanwhile, the development trend of the health state of the water gate can be obtained through the connection potential. The calculation result of the comprehensive connection potential also intuitively reflects the health state of the water gate.

The invention relates to the technical field of health management, and discloses a health state assessment method and system, a server and a storage medium. The health status evaluation method comprises the following steps: taking multiple items of a blood pressure detection result, a heart rate detection result, an emotion detection result, a vitality detection result, a physical strength detection result, an age detection result, a skin moisture detection result and a skin oil dryness detection result as physiological health evaluation indexes, and distributing weights for the various physiological health evaluation indexes, comprehensively evaluating a physiological health state index L according to the weight; wherein the weights distributed for the blood pressure detection result and the heart rate detection result are larger than the weights distributed for other physiological health evaluation indexes. According to the embodiment of the invention, the physiological health evaluation indexes are obtained through comprehensive analysis based on diversified detection results, and different weights are distributed to different evaluation indexes during analysis, so that the health state of the user can be reflected comprehensively and accurately on the whole.

The invention discloses an epicyclic gear box fault information acquisition system and a method thereof. The system comprises an inner gear ring, a planetary gear and a sun gear, wherein the inner gear ring, the planetary gear and the sun gear together form an epicyclic gear box. The inner gear ring is immobilized. The sun gear is rotating around the central axis thereof. The planetary gear orbits around the sun gear while revolving on its axis. A plurality of successive gear teeth on the inner gear ring are adopted as detection teeth. A fiber bragg grating array is stuck onto the tooth root parts of the detection teeth. The light emitted from a broadband light source is transmitted to the fiber bragg grating array via an optical fiber a, a coupler and an optical fiber c. The reflected light passes through optical fiber c, the coupler and an optical fiber b to enter a wavelength demodulation part. After the demodulation process, a voltage signal is subjected to the data processing treatment by a computer through a data acquisition part. The computer constructs a tooth root strain sequence and extracts the fault information of the epicyclic gear box. According to the technical scheme of the invention, the defect in the prior art that due to the nonlinear and non-stable characteristics of vibration signals, the fault of the epicyclic gear box is hard in diagnosis can be overcome.