2588results about "Pyrometry using electric radation detectors" patented technology

The invention discloses a distributed real-time monitoring and early warning system for a temperature field of a smelting furnace, and relates to the technical field of industrial process intelligent monitoring. The problems of accumulated measurement errors and non-stationary hotspot escape reconstruction hysteresis caused by static emissivity setting in an existing system are solved. Collecting multiband radiation intensity and voltage signals through time domain alignment of the multispectral sensor array and the thermocouple array; iterating emissivity parameters in real time by adopting a dynamic ash body spectrum ratio algorithm in combination with flue gas absorption characteristics; fusing non-contact and contact temperature measurement data based on weighted Kalman filtering and complementary filtering; constructing a space-time variable covariance function to carry out non-stationary Kriging interpolation; dynamically optimizing the local grid resolution by combining an adaptive grid module; the processing flow is accelerated through the parallel computing module; early warning is triggered based on abnormal probability judgment and is fed back to emissivity correction and grid optimization; according to the invention, the monitoring precision and real-time performance of the temperature field are obviously improved, and the risks of false alarm, missing alarm and equipment melting loss are effectively inhibited.

Exemplary methods, systems, apparatus, and computer programs are disclosed for an unmanned aerial system (UAS) inspection system that includes an unmanned aerial system and analysis system for exterior building envelopes and energy performance evaluation and simulation. The UAS can autonomously and systematically collect data for a building's exterior using a payload comprising (i) nondestructive testing (NDT) sensors configured for imaging (visible, infrared, or more) the building and (ii) one or more multi-spectral sensors (LiDAR, ultrasound, radar, or more). The acquired sensor data are provided to an analysis system comprising computer vision (CV) and signal processing modules configured to analyze the acquired data to i) identify building objects (doors, windows, rooftop units, and others) ii) characterize envelope properties (components, heat resistivity, or others) and 3) identify initial thermal anomalies (thermal bridges, physical defects, or infiltration / exfiltration) in a processing pipeline.

A handheld medical diagnostic device integrates at least seven sensor modules, including a high-magnification camera, otoscope camera, stethoscope, infrared thermometer, EKG, pulse oximeter, body composition monitor, glucometer, and / or hematology analyzer. The device features a system-on-chip (SoC) processor for intelligent data management, edge computing, and cloud-based AI processing, while applying privacy-preserving techniques. A wireless transceiver enables data transmission and reception between the sensors, edge compute nodes, and cloud platforms. The ergonomically designed housing includes a display with a force-sensitive layer for user input and navigation. The high-magnification camera module offers 300× magnification for visualizing blood cells and skin, with an annular LED array, encryption engine, and physically unclonable function (PUF) circuit. The otoscope camera module features a narrow profile for ear, nose, and throat imaging, with an annular LED array.

The present disclosure pertains to head-mounted dual-sided photoplethysmography (PPG) systems and methods for blood flow measurement. In one embodiment, a system comprises a frame designed to be worn on a user's head, integrating a first PPG device positioned on the first side of the user's nose and a second PPG device on the opposite side. Each PPG device includes a light source and photodetector, enabling the capture of optical signals indicative of blood flow within the nasal tissue. A computer is operatively connected to both PPG devices, responsible for obtaining first and second signals from each side and processing these signals to calculate comprehensive measurements of the user's blood flow. This dual-sided configuration enhances measurement accuracy and reliability by mitigating motion artifacts and improving signal quality compared to traditional single-sided PPG systems.

The invention discloses a health status assessment method and system based on a multi-modal biosensor, and the method comprises the steps: synchronously collecting a plurality of physiological signals of a plurality of target species objects, and generating a multi-modal physiological data flow with consistent time and space; inputting the multi-modal physiological data stream into a deep learning model, and outputting a high-dimensional feature vector fused with time-space characteristics; inputting the high-dimensional feature vector into a cross-species adaptation model based on transfer learning, and outputting a cross-species universality state vector representing the current health abnormal state and confidence of the target object; inputting the cross-species universality state vector into a lightweight risk assessment model, and outputting a quantitative assessment result reflecting the instant health risk level of the target object; and according to a quantitative evaluation result, automatically generating and triggering a personalized health intervention instruction for the target object. By utilizing the embodiment of the invention, the physiological difference of different species can be dynamically adapted, and the accuracy and the universality of health state evaluation are improved.

The invention belongs to the field of bird repelling and equipment state monitoring, and particularly discloses a bird inhabitation multi-mode repelling and state monitoring device and method. The device is combined with a photosensitive device for day and night environment discrimination, is integrated with an intelligent hardware device of a multi-mode driving unit and a state monitoring module, and is suitable for long-term bird prevention operation in unattended scenes such as power transmission lines and transformer substations; further, accurate detection of bird approaching is realized by fusing various sensors, efficient repelling is performed by combining a multi-channel interference means of touch, hearing and vision, meanwhile, the running state of the anti-bird structure is monitored in real time, and data is remotely transmitted back, so that long-term, stable, protection and monitoring integration in an unattended scene is realized, and the safety and reliability of the system are improved. The threat of bird damage to safe operation of a power system is effectively reduced.

A device, and method for its use, which may be worn by a firefighter for detecting the source of a fire in a smoke-filled or noisy environment, the device having directional infrared sensors for detecting the direction of maximum or minimum intensity of infrared radiation in two or more directions relative to the wearer and reporting at least the direction of maximum or minimum intensity to the wearer by a tactile indicator contacting the skin of the wearer.

The invention discloses a human body existence sensing method based on millimeter wave radar and infrared pyroelectric sensor double-source collaborative fusion, and the method comprises the steps: processing original data collected by a millimeter wave radar sensor receiving end, and obtaining a high-quality distance-speed dimension data matrix; carrying out SVD decomposition, and reconstructing two new data matrixes which are respectively corresponding to a strong target signal and a weak target signal; a human body existence sensing output result of the millimeter wave radar sensor is obtained through the track features and the breathing features; processing a signal of the infrared pyroelectric sensor to obtain a human body existence sensing output result of the infrared pyroelectric sensor; and constructing a heterogenous data matrix according to output results of the two sensors, and performing fusion algorithm processing on the heterogenous data matrix to obtain a fusion result. And finally, the fusion result is stored in a delay memory matrix, and the aging degree is calculated according to the aging factors corresponding to different delay units, so that a final human body existence sensing result is obtained.

The invention relates to an error compensation method of a birefringence self-calibration laser level meter, in particular to the field of laser level meters, and aims to improve the precision of the laser level meter by combining a birefringence effect, physical modeling and neural network optimization. Firstly, temperature data are collected in real time, Kalman filtering is used for noise reduction, and accurate data are provided for physical modeling; then, through physical constraints such as a heat conduction equation and a Jones matrix, a coupling relation between the temperature gradient and optical parameter changes is established; then, dynamically optimizing the refractive index correction by using a physical information neural network to avoid an overfitting problem; and finally, calculating optical path difference compensation by using a hardware accelerator, correcting a system error in real time, and feeding back and adjusting a network weight. According to the method, the precision and the stability of the laser level meter in an environment with relatively large temperature change are effectively improved.

The invention discloses a graphene composite perovskite manganese oxide polycrystalline ceramic and a preparation method and application thereof, and belongs to the technical field of non-refrigeration high-sensitivity infrared detection. The chemical expression of the graphene composite perovskite manganese oxide polycrystalline ceramic is La < 0.81 > (Ca < 0.03 > Sr < 0.16 >) MnO3: Gy, G is graphene, y is the mass fraction of graphene in perovskite manganese oxide composite powder, and y is equal to 0.1-0.2%. The TCR value of the prepared polycrystalline ceramic can reach 30% or above, the Tk value is close to 300K, the polycrystalline ceramic has excellent adaptability to room temperature work and excellent sensitivity to temperature change, and when the polycrystalline ceramic is applied to an uncooled infrared detector, the detection precision of the uncooled infrared detector can be effectively improved.

The invention relates to the technical field of data processing, and discloses a high-temperature early warning method and system for a welding device. The method comprises the following steps: carrying out multi-point temperature measurement by using a K-type thermocouple and an infrared thermal imager; fourier heat conduction calculation is conducted on the welding heat field; extracting temperature anomaly region features through thermal gradient analysis; carrying out multi-parameter risk assessment by combining material melting point parameters; a multi-channel alarm instruction is output through the industrial control bus; and current-voltage curve real-time adjustment is conducted on the welding power source, and closed-loop self-adaptive control is achieved. According to the method, a complete closed-loop system from multi-sensor temperature collection, thermal field analysis, abnormal feature extraction and risk assessment to multi-stage alarm and self-adaptive control is established, so that early recognition and accurate control of thermal abnormality in the welding process are realized, and the welding quality and the production safety are remarkably improved.

The invention relates to the technical field of pot body temperature monitoring, and discloses a pot body surface temperature real-time monitoring system based on an infrared sensing technology. The system comprises a temperature data acquisition module, a feature extraction module, a temperature safety analysis module, a safety temperature range construction module, a deviation analysis module, a communication adjustment module and a temperature uniformity analysis module. The temperature data acquisition module combines the temperature data acquired by the infrared sensor and preset environment parameters to generate a dynamic temperature distribution model; the feature extraction module processes the model to obtain a compression temperature feature flow; a temperature safety analysis module generates a temperature control decision priority atlas according to the temperature control decision priority atlas; the safe temperature range building module builds a safe temperature corridor according to the atlas and generates a control strategy; the deviation analysis module analyzes the temperature deviation to generate abnormal mark data; the communication adjustment module dynamically allocates bandwidth transmission data; and the temperature uniformity analysis module detects temperature uniformity fluctuation and judges whether optimization control is performed or not. The system realizes precise monitoring and intelligent control of the temperature of the pot body.

The invention relates to an uncooled infrared focal plane array reading circuit and a detector. The readout circuit comprises a pixel circuit module and a readout circuit bias module. The pixel circuit module comprises a pixel resistor, a correction voltage end, a first node, a pixel bias submodule and a correction submodule, and the pixel bias submodule is connected with the pixel resistor; the correction sub-module is connected with a correction voltage end so as to correct the deviation of the output result of the reading circuit caused by the resistance deviation of the pixel resistor; the reading circuit bias module comprises a working resistor, a bias voltage providing module and a feedback module; one connecting end of the bias voltage providing module is connected with the feedback module, and the output end is connected with one end of the working resistor; the other end of the working resistor is connected with the first node; the voltage of the bias voltage providing module fluctuates along with at least one of the correction voltage and the target temperature of the pixel resistor; the feedback module generates a feedback current corresponding to the first node voltage and provides the feedback current to the bias voltage providing module.

A complementary metal oxide semiconductor (CMOS) device embedded with micro-electro-mechanical system (MEMS) components in a MEMS region is disclosed. The MEMS components, for example, are infrared (IR) thermosensors. The MEMS sensors are integrated on the CMOS device monolithically after CMOS processing. For example, the MEMS sensors are formed over a BEOL dielectric of a CMOS device. The device is encapsulated with a CMOS compatible IR transparent cap to hermetically seal the MEMS sensors in the MEMS region.

The invention relates to the technical field of non-dispersive infrared gas sensors, in particular to a Van der Waals photoelectric detector, a preparation method and application thereof and a non-dispersive infrared gas sensor. The invention provides a Van der Waals photoelectric detector. The Van der Waals photoelectric detector comprises a substrate layer, a heterojunction layer and a double-end metal electrode layer, the heterojunction layer is of a heterojunction structure formed by partially embedding a first Van der Waals material layer into the bottom of a second Van der Waals material layer, the whole bottom of the first Van der Waals material layer is in contact with the upper surface of the substrate layer, and part of the bottom of the second Van der Waals material layer is in contact with the upper surface of the substrate layer; the double-end metal electrode layer comprises a first metal electrode and a second metal electrode, the first metal electrode is located on the surface of the first Van der Waals material layer, and the second metal electrode is located on the surface of the second Van der Waals material layer. The Van der Waals photoelectric detector has extremely low interface defects and relatively low thermal noise.

The radiation temperature measurement probe comprises a probe shell, a mounting base, a light machine assembly and an infrared detector, the probe shell is mounted on the mounting base, a light through hole is formed in the side face of one end of the probe shell, and a reflecting mirror is arranged in the light through hole; the light machine assembly is installed in the probe shell and comprises a light path pipe, an electric diaphragm and an adjustable lens group, an aperture diaphragm is arranged at one end of the light path pipe, the electric diaphragm is installed in the light path pipe, and the adjustable lens group and the light path pipe form a moving pair; the infrared detector is mounted at the other end of the probe shell; radiation light of the turbine blade enters the probe shell from the light through hole, is reflected by the reflecting mirror, penetrates through the aperture diaphragm, the electric diaphragm and the adjustable mirror group, and reaches the infrared detector. Compared with the prior art, the gas turbine blade surface temperature measuring probe has the advantages that the accuracy and the long-term working stability of the gas turbine blade surface temperature measuring probe are remarkably improved by using automatic focusing, variable view field and efficient cooling technologies, and the like.

A built-in range-finding infrared camera lens is provided, including a lens barrel, an infrared lens, a laser transceiver and a laser lens. An outer edge of the infrared lens has a notch. The infrared lens and the laser lens are both fixedly mounted at a front end of the lens barrel, and the laser lens is embedded in the notch. The laser transceiver is fixedly mounted at a rear end of the lens barrel. A laser ranging optical axis corresponding to the laser lens is parallel to an infrared optical axis corresponding to the infrared lens. In this way, the infrared lens, the laser lens and the laser transceiver are all fixedly mounted in the lens barrel, and are connected into a whole through the lens barrel without the needs of additional adapter components or other mounting procedures.

The invention provides a temperature measurement calibration method and system, and the method comprises the steps: putting food to be cooked into an oven cavity, and selecting corresponding food information on an operation panel; the temperature probe is inserted into the food, a heating program is started, the thermopile array sensor scans and measures the surface temperature of the food and transmits data to the main control module, and the temperature probe transmits the real-time measured internal temperature data of the food to the main control module; after the main control module receives the temperature data, a corresponding temperature correction coefficient matrix is called according to the selected food type, measurement data of the thermopile array sensor is calibrated, and the corrected food comprehensive temperature is obtained; and the main control module dynamically adjusts the heating power and time according to the corrected food comprehensive temperature data and preset cooking target temperature and food type information. By optimizing the installation position of the sensor, designing an anti-interference and self-cleaning mechanism and combining an accurate correction algorithm, high-precision measurement and calibration of the food temperature are achieved, accurate data support is provided for intelligent food cooking, accurate intelligent regulation and control of the food heating process are achieved, and the cooking effect and the user experience are improved.

The invention relates to the technical field of temperature early warning management, in particular to an electrolytic bath temperature central monitoring and early warning system. The system comprises an in-tank temperature frequency domain analysis module, an in-tank temperature and energy consumption influence analysis module, an in-tank electrolytic strength abnormity response adjustment module, an in-tank temperature over-low abnormity early warning adjustment module and an in-tank iterative execution influence analysis module. Temperature sensors are arranged at key positions in an electrolytic cell to monitor temperature signal distribution in the cell in real time and carry out frequency domain analysis, and meanwhile, corresponding current and voltage are obtained, electrolyte energy consumption analysis and time sequence influence analysis are carried out, and a time sequence correlation influence degree is obtained; and if the conditions are gradually increased and the temperature fluctuation is increased, designing and implementing an energy consumption abnormity response measure, if the conditions are gradually reduced and the temperature fluctuation is reduced, designing and implementing a temperature abnormity response measure, and if the conditions are judged to be other conditions, continuing to iteratively execute the time sequence influence analysis. The stability and quality of the electrolysis process can be guaranteed.

The invention provides a multispectral radiation temperature measurement method and system, and belongs to the field of signal acquisition and processing in an infrared radiation temperature measurement technology. The problems of poor inversion precision and applicability of multispectral radiation temperature measurement are solved. The multispectral radiation temperature measurement method comprises the following steps of: measuring radiation information of the surface of a to-be-measured target by using a multi-wavelength pyrometer; the beam splitting system obtains radiation information of different spectrum channels; photoelectric conversion: converting the optical signal into an electric signal; constructing a target equation and a constraint optimization condition according to the brightness temperature model; carrying out multispectral data processing by utilizing an improved multi-population mixed pigeon inspired optimization algorithm; and the final real temperature and emissivity values are obtained. The device is mainly used for multispectral radiation temperature measurement.

The invention discloses an infrared and visible light dynamic temperature measurement method based on multispectral fusion. The method specifically comprises the following steps: S1, synchronously acquiring infrared thermal radiation data and visible light image data through a multi-modal data synchronous acquisition module; s2, performing feature matching and region segmentation on the acquired data based on a multispectral data fusion module; s3, environment interference and heat conduction errors are corrected through a dynamic compensation algorithm module; s4, a visual temperature distribution diagram is generated based on the temperature field reconstruction module, and abnormal temperature early warning is triggered, the method is based on a transfer learning method, on the basis of an original task domain model, small sample transfer to a new task domain is achieved, the limitation of sample dependence is relieved, and the universal generalization of the model is improved.

The utility model discloses a single-point infrared temperature measuring device for a hot end part of an aero-engine, and relates to the field of temperature in-situ detection of engine blades. The device mainly comprises an optical probe with a cooling function, a spectrograph, a photoelectric detector, a high-precision motion positioning platform and a data processing system. The front end of the optical probe reflects radiation energy on the surface of the blade into the collecting lens set through the reflector, the spectrograph divides spectral energy into three different wave bands, signals are collected through the photoelectric detector and the high-speed data collector, and temperature information is obtained through calibration and analysis. The high-precision motion positioning platform adopts a sliding table and a rotating mechanism, and can control the adjustment of the angle of a reflector and the stretching of an optical probe, thereby achieving the precise measurement of the temperatures of different target positions. The whole device is compact in structure, and has the characteristics of high measurement precision, flexible position, low energy loss and the like, and can resist high temperature of 1500 DEG C.

The invention discloses an on-line temperature monitoring system for a transformer substation, and relates to the technical field of monitoring systems, thermocouples, thermal resistors and infrared sensors, the most suitable sensors are selected according to different equipment and environment conditions, wired Ethernet and wireless communication are supported, data can be stably transmitted under different network conditions, and the temperature monitoring system is suitable for monitoring the temperature of the transformer substation. The monitoring center can display the equipment temperature state, the trend chart and the alarm information in real time, an operator is helped to know the equipment condition in time, when the temperature exceeds a set threshold value, the system can automatically trigger alarm, the user interface module displays data through a chart and graph visualization tool, the information is easier to understand and make decisions, and through comparison with historical data, the information can be displayed more accurately. The system can identify the long-term trend of temperature change, trend analysis helps to find out abnormal problems gradually appearing in advance, and data acquisition and processing, stable data transmission, real-time alarm and monitoring and a historical data comparison model improve the operation safety and stability of the substation equipment.

The invention discloses a hydrocarbon gas leakage infrared imaging detection system and a detection method. The system comprises a front end and a monitoring terminal. The front end comprises an infrared optical lens, an uncooled IRFPA assembly and a video processing and system control device. The infrared optical lens comprises a medium-wave infrared objective optical lens and a long-wave infrared objective optical lens; the transmittance of the uncooled IRFPA assembly at the infrared band of 6.5-8.5 [mu] m is greater than 90%; the video processing and system control equipment comprises an infrared acquisition module and an infrared image processing module, and the infrared image processing module is configured to acquire an image acquired by the infrared acquisition module through the infrared optical lens and the uncooled IRFPA assembly, and at least process the image through a non-uniform correction algorithm to form a gas signal for the monitoring terminal to call. The system can be simultaneously suitable for detection of various alkane gases.

The present disclosure relates to a method and system for monitoring the road condition by a machine learning system and to a method for training the machine learning system. The methods include: providing or acquiring data by a sensor system of a vehicle, wherein the sensor system captures the surroundings of the vehicle (2) as training input data X; providing or acquiring data which characterize the road condition by means of a reference sensor fitted in or on the vehicle as training target values, and training the machine learning system. Training data, which include training input data X and training target values corresponding to these training input data X, are provided. The training data are used to adjust parameters of the machine learning system in such a manner that the machine learning system generates output data similar to the training target values when the training input data are input.

Devices, methods and systems are disclosed for monitoring and analysis of bodily emissions emitted from a user. The device comprises at least an image capturing apparatus, at least one light emission source and, at least one sensor for capturing and monitoring excreta and urine from the user. An artificial intelligence based analysis system is utilized to process data collected from the device and determined at least one parameter based on the analysis. The determined parameter determines health-related information, which is communicated to the user via a user interface.

The invention relates to a satellite-borne large-area-array high-frame-frequency short-wave infrared detector data acquisition system, which adopts a 1024 * 512 large-area-array short-wave infrared detector, designs a special acquisition circuit aiming at 8-path output of the 1024 * 512 large-area-array detector, and comprises the following steps: firstly, conditioning 8-path signals output by the detector through an analog front-end circuit; and after conditioning, synchronous sampling of eight paths of signals is carried out through three analog-to-digital sampling chips, so that the signals are synchronously input to the FPGA circuit, and the FPGA circuit rapidly generates a frame image. In other words, three analog-to-digital sampling chips supporting three-channel sampling and an FPGA circuit are selected as main control chips to complete 8-channel simultaneous reading of a 1024 * 512 large-area-array detector, the number of pixels is increased, the frame frequency is increased, meanwhile, the size, weight and power consumption of a data transmission link of the satellite-borne hyperspectral imager are reduced, and the image transmission quality is effectively guaranteed.

A bolometer-optical microresonator infrared sensor includes a frame; at least two legs mechanically supporting an island to the frame, with a ridge patterned into each leg forming a waveguide; a microresonator located on the island including a closed loop ridge waveguide; an absorber on the island separated from the microresonator; a waveguide coupler on the island connecting the waveguide on each leg to the microresonator; a waveguide transition on the frame at an end of each leg transmitting light between the waveguide on the leg and a waveguide supported by a substrate; and an edge coupler at an end of the substrate-supported waveguide.

The present invention discloses a surface covering device comprising a tile, a base assembly, a plurality of tile connectors located between the tile and the base assembly for releasably connecting the tile to the base assembly, at least one capacitive sensor located on the tile, wherein the capacitive sensor is configured to detect changes in capacitive data indicative of the presence of activity within a predetermined range of the capacitive sensor; an infrared sensor configured to receive infrared data; a capacitive controller communicatively coupled to an infrared controller configured for receiving the capacitive data and the infrared data from the capacitive sensor and infrared sensor respectively; a mesh controller configured to receive the capacitive data and the infrared data from the capacitive controller and infrared controller respectively, and a wireless transceiver in data communication with the capacitive controller and the infrared controller, wherein the wireless transceiver is configured to transmit the capacitive data and the infrared data to a data analysis server, wherein the data analysis server is configured to determine an event based on the capacitive data and the infrared data.