39 results about "Temperature modulation" patented technology

The embodiment of the invention provides a volatile organic compound identification method based on a multi-temperature modulation gas sensor array and related equipment, and belongs to the technical field of volatile organic compound identification. The method is applied to a multi-temperature modulation gas sensor array. The gas sensor array comprises a plurality of sensing elements with different gas reaction characteristics and corresponding heaters; the method comprises the following steps: at different working temperatures, controlling a gas sensor array to carry out gas-sensitive response test on gas to be tested, acquiring gas-sensitive response characteristics of each sensing element at different working temperatures, and summarizing acquired results to obtain a multi-dimensional characteristic set of the gas to be tested; inputting the multi-dimensional feature set of the to-be-detected gas into the trained gas recognition model for calculation to obtain a gas recognition result of the to-be-detected gas; according to the method disclosed by the embodiment of the invention, temperature modulation and different material doping proportions are introduced into the gas sensing array, so that the characteristic dimension can be greatly expanded, and the selectivity of the MOS gas sensor is improved.

The invention provides a gas sensor low-delay classification method based on a sliding window and confidence accumulation, and relates to the technical field of gas sensing and intelligent diagnosis. The invention provides an SWSD-CAD framework aiming at the problem of high detection delay caused by dependence on a complete periodic signal of an existing temperature modulation gas sensor. According to the framework, a small window sliding detection (SWSD) strategy is adopted, and high-frequency online analysis is carried out on real-time data streams; meanwhile, continuous prediction results are arbitrated through a confidence cumulative decision CAD logic, and a final decision is made only when the prediction results continuously meet a confidence threshold within a preset time, so that the reliability of the results is ensured. In order to realize the framework, the invention designs a ConvMama hybrid network model which is used for efficiently extracting discriminative features in a short signal window. According to the invention, on the premise of ensuring high classification precision, the detection delay is obviously reduced, and early, rapid and reliable identification of gas types is realized.

This invention provides a low-latency classification method for gas sensors based on sliding window and confidence accumulation, relating to the fields of gas sensing and intelligent diagnostics. Addressing the high detection latency caused by existing temperature-modulated gas sensors relying on complete-cycle signals, this invention proposes a SWSD-CAD framework. This framework employs a small-window sliding detection (SWSD) strategy to perform high-frequency online analysis of real-time data streams. Simultaneously, it arbitrates continuous prediction results through confidence accumulation decision CAD logic, making a final decision only when the prediction result continuously meets a confidence threshold within a preset time, ensuring the reliability of the results. To implement this framework, this invention designs a ConvMamba hybrid network model for efficiently extracting discriminative features within short signal windows. This invention can significantly reduce detection latency while maintaining high classification accuracy, achieving early, rapid, and reliable identification of gas types.

Cooling provided by a thermal management system may be controlled actively to reduce or prevent entering a dry out state. The systems and methods described herein include monitoring temperature metrics and identifying or predicting the onset of a dry out state, and temperature modulation mechanism may be controlled to cause an increase in the temperature of the heat pipe or vapor chamber. By controlling a temperature modulation mechanism to increase the operating temperature, the viscosity of the liquid in the thermal management approach is decreased, which improves its capillary flow and return rate back to the evaporator. By leveraging this temperature-dependent behavior, this thermal control approach may restore cooling capacity by managing the thermal management approach temperature due to a dry out state, and reduce or minimize the computing device performance degradation associated with a dry out state.

A pulse-driven NO2 sensor based on porous graphene oxide-modified In2O3 sensitive material and its preparation method belong to the technical field of semiconductor metal oxide gas sensors. It consists of an Al2O3 ceramic tube substrate with a pair of parallel annular gold electrodes on both sides of the outer surface, a sensitive material coated on the outer surface of the Al2O3 ceramic tube and the gold electrodes, and a nickel-chromium metal heating coil placed inside the Al2O3 ceramic tube; the nickel-chromium metal heating coil is connected to the current output end of the pulse drive circuit, and the sensitive material is porous graphene oxide-modified In2O3 material. In addition to high sensitivity, the sensor obtained by the present invention also has a low detection limit and good selectivity. In addition, a pulse drive circuit is designed for the pulse temperature modulation (PTM) strategy, which further improves the detection capability of the sensor. In PTM mode, the sensor response is 1.6 times that of the traditional constant temperature mode.

The present application discloses a method for measuring the dynamic thermal expansion properties of a nanofilm, which relates to the field of measurement technology. The method is applied to an ellipsometer provided with a temperature-controlled hot stage. The method comprises: controlling the temperature of a thin film sample on the hot stage according to a resonant temperature modulation program, and obtaining a thickness-time curve of the thin film using the ellipsometer; based on the obtained thickness-time curve, determining the amplitude and phase of the resonant dynamic change of the film thickness in response to the temperature modulation program using a digital signal processing method, and obtaining an amplitude-time curve and a phase-time curve; and then determining the apparent thermal expansion coefficient, reversible thermal expansion coefficient, and irreversible thermal expansion coefficient of the thin film sample; the present application measures the thermal expansion behavior of the thin film sample by setting a temperature modulation program, thereby accurately determining the reversible thermal expansion coefficient and its real and imaginary parts, as well as the irreversible thermal expansion coefficient of the thin film sample, thereby accurately reflecting the molecular motion and thermal relaxation behavior of the nanofilm.

A temperature modulation system for a bed, blanket, or other furniture includes a fluid for moderating temperature change, a number of conduit circuits for directing the fluid through respective zones, a control unit including a thermoelectric device for modulating temperature of the fluid, and a pump. Each of the conduit circuits selectively and independently directs fluid through its respective zone in order to produce a temperature within the zone that is independent of the temperature outside the zone. The system also includes an arrangement of one or more zones in an arrangement in which the control unit is programmed to vary the zone temperature over time according to a schedule.

This invention relates to the field of predictive maintenance technology and discloses a method for predicting the life of flange seals based on digital twins. The method includes: first, acquiring initial parameters to establish an initial reference acoustic energy density; then, acquiring real-time data to calculate the real-time raw acoustic energy density. Phase cancellation is performed based on the node spatial distance and real-time sound velocity to eliminate interference energy and obtain the decoupled true acoustic energy density. The decoupled density is compared with the reference density and substituted into an exponential model to calculate the microcavitation degradation factor. The degradation factor and real-time temperature are used to modulate the fluid density, thereby obtaining the fluid equivalent wave velocity, and combining this with pressure variables to calculate the asynchronous warping phase difference. The real-time residual clamping stress is obtained by reducing the preload stress based on the cosine value of this phase difference and the acoustic energy attenuation ratio. Finally, the transient fatigue damage evolution rate is calculated based on the residual stress and operating time to estimate the remaining life.

The invention provides a gas sensor temperature and humidity compensation method based on feature space reconstruction, and relates to the technical field of gas recognizing.The method comprises the steps that firstly, a high-dimensional dynamic response signal is obtained based on temperature modulation, and temperature and humidity are recorded at the same time; then, carrying out linear discriminant analysis conversion by taking the temperature and the humidity as category labels to obtain characterization signals; the characteristic with the characterization signal close to the front is set to be 0 to eliminate temperature and humidity information, and then inverse transformation is carried out to achieve the purpose of temperature and humidity compensation; the influence of temperature and humidity interference on the gas sensor can be remarkably reduced, and the gas recognition precision based on the gas sensor signal can be improved.

Embodiments according to the present invention provide a high-quality GaN HEMT power semiconductor epitaxy wafer having a three-dimensional nitride structure, comprising: a growth substrate; a nucleation region formed on the growth substrate; and a three-dimensional nitride structure region formed on the nucleation region and having a composition ratio that varies along a lateral direction.

The application belongs to the technical field of chemical analysis and detection, and particularly relates to a temperature-electric field combined modulation surface ionization detection system and method. The system comprises a pretreatment unit, a combined modulation detection unit, a signal acquisition unit and a control unit. The combined modulation detection unit comprises a cavity, a first heating wire is arranged in the upper shell, one end of the first heating wire is further connected with the positive pole of a program-controlled bipolar high-voltage power supply, the negative pole of the program-controlled bipolar high-voltage power supply is connected with the upper shell, a second heating wire is arranged in the lower shell, one end of the second heating wire is further connected with the positive pole of a high-voltage power supply, and the negative pole of the high-voltage power supply is connected with the lower shell. The temperature modulation and the electric field inversion modulation are combined creatively, complementary information provided by two physical mechanisms is utilized, the cation types and the anion types of alkali metals can be effectively distinguished at the same time, and the problem of insufficient single technical information dimension is solved.

Provided is a light detection device including a Peltier element that includes a P-type semiconductor and an N-type semiconductor disposed between a first substrate and a second substrate, and a light receiving part that receives light from the object having been subjected to temperature modulation by the Peltier element, in which the first substrate is provided on the object side, the second substrate is provided on the light receiving part side, and at least parts of the first substrate and the second substrate transmits light from the object. The present technology can be applied to, for example, a detection device that detects a predetermined material by receiving and analyzing light from an object to be measured.

The invention relates to the technical field of intelligent traffic systems, and particularly discloses a vehicle track prediction method and device based on dynamic attention adaptive coding and electronic equipment. The problem of low precision caused by insufficient heterogeneous feature coding in a complex scene in the prior art is solved. According to the main scheme, the method comprises the steps of obtaining a vehicle track and lane line data; a lightweight attention adaptive coding module is constructed, the module integrates a feature transformation layer based on a double-layer feedforward neural network, a residual connection structure, a lightweight channel attention layer and a dynamic temperature modulation unit, and efficient feature extraction is realized through dimension alignment and channel weighting; encoding the processed data to generate vehicle node embedding, lane line node embedding and relative position edge embedding; the time and space attention module is respectively input, the time module captures time sequence dependence of a target vehicle, and the space module models interaction between the vehicle and a lane line and between the vehicles; deep coupling is realized through a space-time attention module for the second time after the space-time features are fused, and enhanced features are generated; and finally, outputting a multi-modal prediction trajectory through a decoder.

The present invention is an analysis device 100 that employs light absorption to analyze a measurement target component contained in a sample, and that reduces fluctuations in a modulation width of an oscillation wavelength of a laser light source that are caused by changes in the ambient temperature so as to enable the concentration of the measurement target component to be measured accurately. This analysis device 100 is provided with a laser light source 2 that irradiates reference light onto the sample, a photodetector 5 that detects an intensity of sample light that is generated as a result of the reference light being transmitted through the sample, a temperature adjustment unit 3 that adjusts a temperature of the laser light source, a temperature sensor 4 that detects an ambient temperature around the laser light source, a relational data storage unit 73 that stores modulation correction relational data that shows a relationship between the ambient temperature of the laser light source 2 and correction parameters that are used to correct a shift in the modulation width of an existing modulation width of the laser light source that is used to measure the measurement target components, and a control unit 7 that, using detection temperatures from the temperature sensor 4 and the modulation correction relational data, alters a target temperature of the temperature adjustment unit 3 or at least one of a drive voltage or drive current that is applied in order to perform wavelength modulation on the laser light source 2.

An image extraction device comprises a device shell, a lens, a vibration unit and a temperature modulation unit. The lens is arranged on the device shell. The vibration unit is suitable for applying vibration to the lens. The temperature modulation unit is suitable for modulating the temperature of the lens.

A computer-implemented hazard detection method using at least one processing unit in signal communication with at least one storage device and a gas-sensitive sensor element, wherein the sensor element is configured to be in environmental contact with an external atmosphere, comprises (i) applying a temperature sequence comprising multiple target temperature levels for a predetermined duration to the sensor element, by optionally using a heater, (ii) obtaining at least one electrical property measurement of the sensor element, (iii) processing the at least one electrical property measurement using the at least one processing unit to produce a data set, and optionally saving the data set to the at least one storage device, wherein the data set comprises an electrical property value list of at least one electrical property value, wherein the at least one electrical property value is representative of the at least one electrical property measurement at one of the multiple target temperature levels or during a transition between one pair of target temperature levels, and a change time value list with at least one change time value, wherein the at least one change time value is representative of the change time of the at least one electrical property measurement at one of the multiple target temperature levels or during a transition between one pair of target temperature levels, and / or electrical property change value list with at least one electrical property change value, wherein the at least one electrical property change value is representative of the change of the electrical property change at one of the multiple target temperature levels or during a transition between one pair of target temperature levels, (iv) determining a result based on the data set and a prediction data set stored on the at least one storage device, wherein the result comprises fake abnormal, normal or pre-alarm, and (v) determining whether a hazard is present based on the result.

The present invention discloses a method for detecting the concentration of multiple metal ions using a spectrum based on temperature modulation, which relates to the field of spectral quantitative analysis technology. The method comprises the following steps: step S1, designing a temperature modulation strategy to obtain a temperature-modulated spectral signal; step S2, constructing a two-dimensional spectral matrix based on temperature modulation; step S3, constructing a high-order feature extraction network based on a neural network, and establishing an ion concentration regression network; step S4, training the feature extraction network and the ion concentration regression network; step S5, obtaining a temperature-modulated spectral matrix of a sample to be tested; and step S6, inputting the temperature-modulated spectrum of the sample to be tested into the trained model to obtain the concentration of the metal ion components. The detection method of the present invention analyzes the absorption characteristics and temperature-sensitive characteristics of each metal ion spectrum under temperature changes by analyzing the differences in the shape and intensity changes of the spectrum under temperature changes, constructing high-order features for feature separation and extraction, and improving the accuracy and anti-interference performance of the information separation and analysis of each component of the overlapping spectrum.

The application provides a gas sensor temperature and humidity compensation method based on feature space reconstruction, relates to the technical field of gas identification, and first obtains a high-dimensional dynamic response signal based on temperature modulation, and records temperature and humidity at the same time; then, linear discriminant analysis conversion is carried out by taking the temperature and humidity as category labels to obtain a characteristic signal; the features in the front of the characteristic signal are set to 0 to eliminate the temperature and humidity information, and then inverse conversion is carried out to achieve the purpose of temperature and humidity compensation; the application can significantly reduce the influence of temperature and humidity interference on the gas sensor, and is beneficial to improving the gas identification precision based on the gas sensor signal.

The present invention provides a method for constructing a large sample two-dimensional image data set of VOC responses, which relates to the field of VOC identification technology. The method specifically includes: first, performing cyclic temperature modulation on a semiconductor gas sensor and sampling the VOC response to obtain VOC timing response data. Then, continuously intercepting VOC timing response sample data from the VOC timing response data point by data point with a fixed sample length within the resampling range. Finally, converting the VOC timing response sample data from a one-dimensional form into a two-dimensional image form. Compared with the traditional method for constructing a sample data set of VOC response, the present invention can obtain a large sample data set of VOC response at a lower manpower and time cost. The converted two-dimensional image sample data of VOC response contains rich structural information, which is more in line with the input data requirements of deep learning models such as convolutional neural networks, and provides favorable conditions for the application of deep learning models such as convolutional neural networks in the field of VOC identification.

The invention provides a temperature and magnetic field measurement method and device based on a diamond NV color center and a chip. The method comprises the steps that a sample to be measured is placed on a sample table with diamond; emitting laser to the sample table to excite the NV color center of the diamond; the microwave system adopts a modulation mode with the frequency of f1 to emit modulation microwaves to the sample to be tested; the sCMOS camera collects a first fluorescence image emitted by the diamond at the frequency f2; meanwhile, turning on a switching power supply of the sample to be detected, performing temperature modulation, performing frequency phase-locked modulation on the on-off state of the switching power supply in combination with the frequency of the microwave system, and acquiring a second fluorescence image emitted by the diamond by the sCMOS camera; demodulating the obtained first fluorescence image and the second fluorescence image as a period to obtain the temperature variable of the sample to be detected, and the sensitivity and the detection speed of chip temperature measurement can be improved.

This invention relates to the field of acoustic wave modulation, and proposes a thermoacoustic signal modulation system and method, including a thermoacoustic modulation device and a closed-loop feedback control circuit. The thermoacoustic modulation device includes a medium for propagating sound waves and a thermal modulation unit integrated on or near it. The thermal modulation unit has temperature-sensitive electrical characteristics, and its electrical parameters are functionally related to temperature. The closed-loop feedback control circuit is electrically connected to the thermal modulation unit, determines the current temperature state based on the real-time electrical parameters of the thermal modulation unit, and generates driving power applied to the thermal modulation unit when there is a deviation between the target control signal and the current temperature state. The closed-loop feedback control circuit applies transient overdrive power to the thermal modulation unit when the temperature deviates passively or actively from the target temperature, so as to quickly reach and lock the target temperature. This transforms temperature modulation from passive thermal relaxation to active control based on electrical feedback.

The invention discloses a welding penetration identification model training method and system based on modal alignment loss, and relates to the technical field of welding quality intelligent monitoring. According to the method, a staged optimization training strategy for temperature modulation is provided for the modal difference problem between arc sound and arc voltage signals. According to the strategy, a modal alignment loss function is introduced, the weight of the modal alignment loss function is dynamically adjusted in stages, and two branches of a lightweight double-branch neural network model are guided to be aligned in a high-level feature space, so that a modal gap is bridged. The system comprises a signal acquisition unit, a signal processing unit, a signal calculation analysis unit and a signal output unit, the calculation analysis unit runs a model obtained by training through the method, and the model integrates a dynamic feature adaptive fusion module and can perform intelligent weighted fusion on bimodal features. According to the method, the accuracy and robustness of fusion penetration state recognition are effectively improved, and meanwhile, the model lightweight design meets the deployment requirement of industrial field real-time monitoring.

The invention provides a pipeline health monitoring and temperature compensation method and system based on ultrasonic guided waves, and belongs to the technical field of pipeline health monitoring. The method comprises the following steps: respectively acquiring guided wave signals of a to-be-detected pipeline in a lossless state and a lossy state, and preprocessing the guided wave signals; a temperature embedded auto-encoder neural network model is constructed and trained; the model encodes the guided wave signal through a multi-channel encoder to obtain a characteristic tensor of the guided wave signal; calculating the temperature difference between the real-time temperature of the current guided wave signal and the baseline temperature corresponding to the expected output signal; affine transformation mapping is carried out through a full connection layer to a zoom coefficient and an offset coefficient, and signal features after temperature modulation are obtained through feature space modulation; and inputting the signal characteristics after temperature modulation into a residual signal decoder, combining the original guided wave signal with the temperature characteristics through deconvolution operation, and outputting a compensation signal. The temperature compensation capability is effectively improved, and the applicability and reliability under complex working conditions are enhanced.

An automated polymerase chain reaction (PCR) analyzer (110) for analyzing at least one sample (112) and a method of automated PCR analysis is disclosed. The automated PCR analyzer (110) comprises: - at least one controller (114); - at least one thermocycling apparatus (116) configured for subjecting the sample (112) to at least one temperature modulation controlled by the controller (114); and - at least one photometer (118) configured for detecting at least one optically detectable property of the sample (112), the photometer (118) comprising at least one excitation light source (120) configured for illuminating the sample (112) with excitation light (122), the photometer (118) further comprising at least one photodetector unit (124) configured for detecting light (123) emitted from the sample (112), the photometer (118) further comprising a movable filter cell (126) controllable by the controller (114), the movable filter cell (126) comprising a plurality of filter cell units (128), each filter cell unit (128) comprising at least one optical excitation filter element (130), at least one dichroic filter (132), at least one optical detection filter element (134) and at least one the aperture stop (174), wherein the photometer (118) comprises a working position for the filter cell units (128), wherein the movable filter cell (126) is configured for selectively positioning a selected filter cell unit (128) selected from the plurality of filter cell units (128) in the working position, wherein, in the working position, the selected filter cell unit (128) is positioned such that the excitation light (122) interacts with the optical excitation filter element (130), the dichroic filter (132) and the aperture stop (174) of the selected filter cell unit (128) and that the light (123) emitted from the sample (112) interacts with the dichroic filter (132), the aperture stop (174) and the optical detection filter element (134) of the selected filter cell unit (128).

Medical device systems and methods can be used for delivering therapy via temperature modulation. For example, this document describes medical device systems and related methods for the treatment of cardiac arrhythmias by delivering cooling to epicardial tissue. In some embodiments described herein, arrhythmias can be treated by an balloon-based system for painlessly terminating arrhythmias. The devices and methods provided herein permit prompt termination of atrial fibrillation almost immediately after an episode begins (to prevent persistence) and are effective irrespective of patient age and comorbidities.

The invention relates to an NO gas-sensitive material, a preparation method thereof and application of the NO gas-sensitive material in a sensor, and belongs to the technical field of gas sensing. The NO gas sensitive material is metal-doped tungsten trioxide, and the metal doping amount in the NO gas sensitive material is 1-5 mol%; the metal is In, Nb, V and Ta. Tungsten hexachloride, n-heptane and metal chloride are mixed to prepare a mixed solution; carrying out heating reaction on the mixed solution to obtain a coarse precipitate, and centrifuging and washing the coarse precipitate to obtain a fine precipitate; and drying, grinding and calcining the fine precipitate to obtain the NO gas-sensitive material. The preparation method of the NO gas-sensitive material is simple and has controllability and repeatability, the NO gas-sensitive material shows excellent response sensitivity when being used for the NO gas sensor, and the NO gas-sensitive material has the advantages of accurate response sensitivity, gas interference resistance, long-term use stability and the like when being applied to the NO gas sensor based on a temperature modulation detection method; the device is especially suitable for detecting NO gas exhaled by a human body.

The invention discloses a method for improving the crystal quality of a diamond single crystal, and relates to the technical field of diamond preparation, and the method comprises the following steps: setting MPCVD basic growth parameters, establishing an initial temperature field, introducing a dynamic temperature modulation mechanism, breaking through the limitation of a static temperature field through a temperature fluctuation program, and improving the crystal quality of the diamond single crystal. The method has the advantages that periodic temperature fluctuation is introduced through a dynamic temperature modulation mechanism, uniform distribution of plasmas is realized in combination with an alternating magnetic field applied outside the deposition chamber, and a pulse type auxiliary gas injection mode is matched, so that the problem of crystal internal stress concentration caused by non-uniform temperature field distribution in the existing MPCVD process is effectively solved; dynamic temperature fluctuation promotes periodic release of crystal stress, an alternating magnetic field optimizes the uniformity of a temperature field, pulse gas injection reduces impurity segregation and promotes atom rearrangement, the generation probability of crystal microcracks is reduced through the synergistic effect of multiple means, and finally remarkable attenuation of the thermal stress of the diamond single crystal is achieved.

This invention provides a rapid gas concentration detection method based on time-sliding window aligned hysteresis differential analysis, belonging to the field of gas detection and analysis technology. This invention utilizes a temperature-modulated semiconductor gas sensor to obtain a response signal for the gas to be detected in real time. A time-sliding window is used to acquire the current window signal from the real-time detected response signal, and aligned hysteresis differential analysis is performed. Based on the aligned hysteresis differential analysis result, the operating state of the semiconductor gas sensor is determined, and the window signal in a stable operating state is found. Finally, the gas concentration is calculated based on a multiple linear regression model. This invention improves the speed, stability, and accuracy of gas concentration detection by semiconductor gas sensors, achieving simple, fast, and accurate gas concentration detection.

The application discloses a dual-mode temperature control method and device for an eye massager. The application obtains temperature-pressure state pairs of each heating partition, calculates equivalent thermal contact thermal resistance, and intelligently judges the temperature control mode in combination with temperature deviation values and air bag pressure fluctuation states. In a steady-state hot compress mode, thermal resistance feedforward compensation is implemented; in a pulse hot compress mode, a temperature modulation envelope synchronized with the charging and discharging cycle is generated. A cross-zone thermal crosstalk compensation mechanism is innovatively introduced, effectively suppressing the heat interference between adjacent heating partitions. The application also realizes the coordinated change of temperature and air bag pressure by constructing a thermal resistance-pressure nonlinear mapping relationship, thermal advance compensation and natural cooling strategy. The application improves the temperature control accuracy and stability, realizes independent and accurate control of each partition, optimizes the energy utilization efficiency, and enhances the comprehensive effect of hot compress massage.

A temperature modulation system for a bed, blanket, or other furniture includes a fluid for moderating temperature change, a number of conduit circuits for directing the fluid through respective zones, a control unit including a thermoelectric device for modulating temperature of the fluid, and a pump. Each of the conduit circuits selectively and independently directs fluid through its respective zone in order to produce a temperature within the zone that is independent of the temperature outside the zone. The system also includes an arrangement of one or more zones in an arrangement in which the control unit is programmed to vary the zone.