60 results about "Temperature modulation" patented technology

The invention discloses a mixed gas concentration detection method based on a temperature modulation technology, and relates to the field of semiconductor gas sensing. The problem that the concentration of the mixed gas is difficult to analyze more accurately in the prior art is solved. According to the method, the characteristics of the gas sensitive response data are expanded under the scale of the spatial domain through the temperature modulation technology, the time sequence data are processed by adopting the LSTM neural network model, the characteristic information contained in the sequence data is fully mined, and the recognition precision of the concentration of the mixed gas is remarkably improved through the combination of the temperature modulation technology and the LSTM neural network model. The device and the method are mainly used for detecting the concentration of H2 and CO gas released from the transformer oil in case of failure.

The invention provides a mixed precursor chemical gas identification method based on feature construction, and relates to the technical field of mixed gas identification, and the method comprises the steps: determining a division criterion of a transient response stage and a steady-state response stage through a working mode of fixed temperature modulation as an inverted step wave; and taking the average value in the steady-state response stage as the characteristic of the structure, establishing a sample library of the structure characteristic and the mixed gas concentration, and fitting the relationship between the structure characteristic and the mixed gas concentration by using a regression model with a simple structure, so that the function of identifying the mixed precursor chemical gas by using the simple model is realized. The current situation that the model for identifying the mixed precursor chemical gas is more complex and the algorithm scale is more huge is changed, and the working efficiency of mixed gas detection is improved.

The invention discloses a multi-pass optical filter and a preparation method thereof, and the method comprises the steps: selecting a main reference channel, and carrying out the difference frequency modulation excitation through narrow linewidth laser, and obtaining optical transmission coupling data; performing periodic disturbance detection on the observation channel to obtain spectrum drift associated data; modulating deposition power and air pressure according to the spectrum drift associated data to form a crosstalk suppression layer; forming a three-layer dielectric structure with increasing optical thickness and a periodically changing coupling regulation layer on the crosstalk suppression layer; and performing temperature modulation annealing treatment to form an inter-channel steady-state coupling structure, and establishing a spectrum drift compensation parameter. The technical scheme of the invention can systematically characterize the correlation drift of the multi-channel spectral characteristic along with the micro process or service disturbance, accurately quantify the coupling relationship between different passbands, and solve the technical problem that the correlation drift between the passbands cannot be completely captured in the existing discrete measurement mode. The phenomenon of'array misfocus' in a miniature multispectral system is effectively avoided, and the precision and stability of the multi-pass optical filter are improved.

The invention provides a temperature modulation parameter optimization method for gas recognition based on a gas sensor, and belongs to the technical field of sensors. The method comprises the following steps: step S11, determining a plurality of classified gases; s12, building a data collection device; step S13, determining a search range and a search step length of modulation parameters; step S14, traversing the modulation parameter combination, and collecting sample data; step S21, projecting sample data of all gases of all modulation parameter combinations to a high-dimensional metric space; step S22, in a high-dimensional measurement space, measuring the similarity degree between the two samples by using Euclidean distance; s23, calculating a sample contour coefficient based on the cohesion degree and the separation degree of the sample; and S24, calculating a contour coefficient, and obtaining an optimization parameter according to the contour coefficient. By using the method, parameter tuning is performed, the required data is less, and the collection speed is high. Scientific basis and technical support are provided for parameter optimization.

The invention discloses a preparation method of a tin oxide-based nanofiber gas sensor array, a temperature regulation and control method and application of the tin oxide-based nanofiber gas sensor array. Firstly, different tin oxide-based nanofiber gas sensors are controllably prepared, and the gas sensing performance is optimized by adopting a temperature modulation technology; and finally, 11 VOCs (n-propanol, n-butanol, ethanol, triethylamine, formaldehyde, acetone, diethyl ether, benzene, toluene, ethylbenzene and m-xylene) gases are identified. According to the dynamic temperature control, the surface adsorption and desorption processes can be obviously influenced by changing the working temperatures of different metal oxide nanofiber sensors, so that the selective recognition of different gas molecules is realized. Besides, by reasonably designing the composition of the sensor array and a temperature control strategy, the characteristic information of different gas molecules can be effectively distinguished, and the accuracy and reliability of gas recognition are further improved.

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 present invention provides a horizontal thermoelectric conversion element having a thermoelectric temperature modulation performance that can be on par with that obtained through the conventional Peltier effect, in comparison. The present invention is provided with: a first electrode and a second electrode which are disposed so as to face each other; and a laminate which is held between the first and the second electrodes and which is electrically connected to both the first and second electrodes. The laminate has a structure in which layers of a first thermoelectric material and layers of a second thermoelectric material are alternately laminated, and the value of at least one of Peltier coefficient, electrical conductivity, or thermal conductivity is different between the first thermoelectric material and the second thermoelectric material. At least one of the first and second thermoelectric materials exhibits a vertical magnetic thermoelectric effect or a horizontal magnetic thermoelectric effect. The laminate surfaces of the first layers and the second layers are inclined with respect to the direction in which the first electrode and the second electrode face each other. By having a current supplied between the first and second electrodes and having a magnetic field applied in a direction in which the magnetic thermoelectric effect is to be generated, a temperature difference is generated in a direction perpendicular to the current.

The invention discloses a preparation method and application of a Fe2O3 doped SnO2 nanofiber gas sensor. The preparation method comprises the following steps: (1) preparing Fe2O3 doped SnO2 nanofibers; (2) manufacturing a gas sensor; the preparation method comprises the following steps: taking Fe2O3 doped SnO2 nanofiber, namely Fe2O3-SnO2, as a gas sensitive sensing material; and (3) regulating and controlling parameters of a temperature modulation technology. The invention aims to controllably prepare the Fe2O3-doped SnO2 nanofiber gas sensor, and the sensing performance is optimized by adopting a temperature modulation method, so that the aim of successfully identifying n-propyl alcohol is fulfilled. The working mechanism of the modified material is deeply discussed by characterizing the structure and performance of the material and the influence of temperature on gas response characteristics, and a new thought and method are provided for the application of the Fe2O3-doped SnO2 nanofiber gas sensor in identification and detection of environmental pollutants.

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.

The present invention relates to a method for removing at least one contaminant from a gas to be treated by means of a temperature-modulated adsorption treatment unit with regeneration. The treatment unit comprises at least a first adsorber, a second adsorber, and a third adsorber, each containing, respectively, a first set of regenerated adsorbent beds, a second set of regenerated adsorbent beds, and a third set of contaminant-loaded adsorbent beds. The method allows for improved energy integration and enhanced purification. The invention also relates to an associated gas treatment unit. Figure 2 to be published

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.

An image capturing device is provided. The image capturing device includes a device housing, a lens, a vibration unit and a temperature modulation unit. The lens is disposed within the device housing. The vibration unit is configured to vibrate the lens. The temperature modulation unit is configured to modulate the temperature of the lens.

A method, system and apparatus for substrate processing that includes a susceptor, a thermal protection plate disposed above the susceptor, the thermal protection plate includes a first lift pin through-hole extending from a top surface of the thermal protection plate to a bottom surface of the thermal protection plate, the susceptor includes a second lift pin through-hole and a plate lift member through-hole, and a plate lift member configured to slidably engage the plate lift member through-hole.

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.

Devices and methods are provided for the treatment of pathological conditions including arrhythmias and trauma using temperature modulation via implantable or worn devices. For example, in one example embodiment this document relates to devices and methods for treating atrial or ventricular fibrillation by cooling the epicardium. The devices and methods can also be used to treat other disorders by applying heating and / or cooling to a patient in a number of different manners.

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 invention discloses a method for measuring the dynamic thermal expansion property of a nano-film, and relates to the technical field of measurement, and the method is applied to an ellipsometer provided with a temperature control heat table. The method comprises the following steps: controlling the temperature of a film sample on a heating stage according to a resonant temperature modulation program, and acquiring a thickness-time curve of the film by using an ellipsometer; based on the obtained thickness-time curve, a digital signal processing method is used for determining the amplitude and phase of resonant dynamic change generated by the film thickness responding to a temperature modulation program, and an amplitude-time curve and a phase-time curve are obtained; further determining the apparent thermal expansion coefficient, the reversible thermal expansion coefficient and the irreversible thermal expansion coefficient of the film sample; by setting the temperature modulation program and measuring the thermal expansion behavior of the film sample, the reversible thermal expansion coefficient, the real part, the imaginary part and the irreversible thermal expansion coefficient of the film sample can be accurately measured, so that the molecular movement and the thermal relaxation behavior of the nano film can be accurately reflected.

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

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.