3244results about "Material resistance" patented technology

A spoke winding type high-sensitivity humidity sensor, the humidity sensor comprising a humidity-sensitive winding material and a spoke winding skeleton disc; a plurality of "T" shaped winding skeletons are uniformly distributed in a radial manner on the circumference of the spoke winding skeleton disc, and the humidity-sensitive winding material is wound on the plurality of "T" shaped winding skeletons; the space between every two adjacent "T" shaped winding skeletons simultaneously constitutes a winding limiting groove and an air flow channel, and after the humidity-sensitive winding material is wound, there is still space, i.e. the air flow channel, for air circulation, which is used to shorten the humidity absorption response time and the humidity desorption response time of the humidity-sensitive winding material.

The invention provides a constructional engineering concrete compressive strength detection method and system.The method comprises the steps that multi-modal information of a to-be-detected concrete member for constructional engineering is collected, and the multi-modal information comprises rebound data, ultrasonic data, resistivity data and temperature data; constructing a hybrid prediction model; and outputting compressive strength data according to the mixed prediction model, and visually displaying the compressive strength data. According to the method and the system for detecting the compressive strength of the constructional engineering concrete, disclosed by the invention, multi-modal information such as ultrasonic, rebound, resistivity and temperature of the to-be-detected concrete member is input into the mixed prediction model for compressive strength prediction, and the model can be used for more accurately processing nonlinear and high-dimensional characteristics in data; a transfer learning mechanism is introduced, so that the model adapts to changes of different regions and materials under limited training data, and the generalization ability and accuracy of prediction are improved. And the compressive strength data is visually displayed, so that the analysis efficiency of engineers is improved.

The invention relates to the technical field of environment monitoring, in particular to an intelligent digital rural environment monitoring system and method based on big data, and the system comprises a layered water potential collection module, a gradient reverse correction module, a path inversion modeling module and a multi-dimensional diffusion modeling module, and the layered water potential collection module calculates and generates rural soil environment monitoring data; the rural soil environment monitoring data comprises layered soil water potential distribution, soil water content gradient and a soil conductivity characteristic value, and the soil water potential abnormal flow data comprises a vertical water potential difference value, an abnormal water flow direction vector and a water flow intensity grade; the moisture permeation path distribution diagram comprises a permeation path distribution structure, a soil water potential accumulation interval and a water flow propagation direction identifier, and the diffusion boundary space model comprises a pollutant diffusion boundary range, a moisture transverse migration region and multi-dimensional diffusion rate distribution. According to the scheme, the abnormal distribution range, the duration time and the development trend are quantitatively described, and the research and judgment accuracy of the abnormal penetration and diffusion process is improved.

The invention relates to the technical field of gas detection, and provides a multi-component gas detection method and system.The method comprises the steps that an MEMS-MOS gas sensor array is designed to be composed of a plurality of miniature gas sensing units; each temperature control loop is used for controlling each micro gas sensing unit to maintain the working temperature aiming at the target gas, so that each micro gas sensing unit generates differentiated and complementary dynamic resistance response signals in a mixed gas environment; collecting the resistance change of each micro gas sensing unit in the gas exposure process in real time, and generating a multi-channel digital time sequence data flow; reconstructing the multi-channel digital time sequence data stream into a two-dimensional matrix of channel number * time step; and inputting the two-dimensional matrix into a trained lightweight convolutional neural network model, and outputting gas types and corresponding concentration values contained in the mixed gas. According to the invention, rapid and accurate detection of multi-component gas can be realized in a complex environment, and the sensor has the characteristics of high sensitivity, low power consumption, suitability for portable deployment and the like.

The invention relates to the technical field of oil field reservoir research, in particular to a fracturing fracture imaging physical simulation method and system combined with non-uniform contact electrodes, and the method comprises the steps: carrying out the resistance modal detection at the current time step through a low-frequency excitation signal in the fracture propagation simulation process, and obtaining a corresponding electric signal; obtaining a conductive fluid distribution result of the rock core fracturing test piece at the current time step by using the conductive fluid distribution inversion model; and fitting and comparing the electric field distribution result of the current time step with the conductive fluid distribution result of the current time step, and outputting the fracture parameters and the conductive fluid distribution result of the rock core fracturing test piece at the current time step based on the fitting and comparison result. According to the method, the electrical property change caused by the natural fracture and the fluid contained in the natural fracture is directly sensed in situ, the electrical signal is acquired, the response delay is reduced, the conductive fluid distribution inversion model is constructed by combining prior knowledge and deep learning, and the precision and reliability of conductive fluid distribution inversion are effectively improved.

The invention discloses a pheromone binding protein derived peptide capable of effectively monitoring sex pheromones of fall webworms and a biosensor, and belongs to the field of biosensors. At present, methods such as sample plot survey and sex traps commonly used in fall webworm monitoring have the problems of poor timeliness, high labor cost, insufficient data continuity and the like. In order to solve the problem, the pheromone binding protein-derived peptide provided by the invention has an amino acid sequence as shown in SEQ ID NO: 2, the biosensor comprises a substrate and an interdigital electrode, a single-walled carbon nanotube is attached to the electrode, and the electrode is also connected with the pheromone binding protein-derived peptide. The sensor can specifically detect sex pheromones of fall webworms, has no response to 17 plant volatile matters, and can detect sex pheromones released by as low as five live female fall webworms under laboratory conditions. The method has application potential in the fields of early pest monitoring, prevention and control efficiency improvement, ecological safety guarantee and the like.

The invention discloses a coastal corrosion geological environment structure corrosion resistance evaluation method and system, and relates to the technical field of building structure corrosion resistance evaluation. The method comprises the steps of data acquisition, coast environment corrosion factor data is acquired by arranging a sensor module, related data of a building structure is acquired at the same time, and the accuracy of assessment data and assessment results is effectively improved by considering multiple factors into the corrosion resistance assessment of the building structure in the coast region; meanwhile, a coupling corrosion rate correction model is constructed, corrosion factor data monitored in real time and real-time data of the building structure are combined, the purpose of evaluating the corrosion resistance of the building structure in the coastal area according to real-time changes of corrosion factors in the tidal period is achieved, the real-time performance of an evaluation result is guaranteed, and the evaluation efficiency is improved. And the accuracy of the evaluation data is further improved.

The invention provides an unmanned aerial vehicle VOCs monitoring data management system based on artificial intelligence, belongs to the technical field of environment monitoring and artificial intelligence crossing, and aims to solve the problems that traditional VOCs monitoring is small in coverage range, poor in timeliness, low in data quality and weak in cooperative capability. The system comprises an unmanned aerial vehicle platform, a VOCs monitoring module, an edge intelligent processing module, a communication transmission module, a cloud data analysis and comparison module and an intelligent early warning module. Through multi-sensor fusion and real-time calibration, edge-cloud collaborative AI analysis, multi-machine collaborative scheduling and improved federated learning, high-precision collection, real-time processing, concentration prediction, graded early warning and abnormal traceability of VOCs data are realized, traditional monitoring pain spots are effectively solved, and efficient decision support is provided for environment supervision.

The application provides a hydrogen pipeline defect detection method and system, equipment and a storage medium, and belongs to the technical field of defect detection. The method comprises the following steps: acquiring phased array ultrasonic detection data, digital radiographic imaging data and hydrogen concentration data of a hydrogen pipeline; extracting defect boundary features based on the phased array ultrasonic detection data, extracting defect microstructure features based on the digital radiographic imaging data, and extracting hydrogen concentration spatiotemporal distribution features based on the hydrogen concentration data; constructing a modal correlation graph by taking the defect boundary features, the defect microstructure features and the hydrogen concentration spatiotemporal distribution features as nodes, and determining the edge weight between every two nodes in the modal correlation graph according to the mutual information of the two nodes; generating a multi-modal correlation feature vector based on the modal correlation graph; and obtaining a defect detection result of the hydrogen pipeline based on the multi-modal correlation feature vector. The application can improve the accuracy of hydrogen pipeline defect detection.

The invention relates to the technical field of metal wire processing, and discloses a high-performance metal wire plastic coating process for aerospace engineering, which comprises the following steps: carrying out base material type selection on a metal wire, and carrying out surface treatment of precise cleaning, etching and depth gradient activation; a Ti-Cr alloy and graphene-copper composite transition layer is deposited through a magnetron sputtering technology, and a multi-layer coating structure is formed through electrostatic spraying of a base coating, a fluidized bed dipping function layer and high velocity oxy-fuel spraying of a nano composite coating in sequence; the molybdenum-gold composite sealing layer is prepared by adopting an electric arc spraying technology, and is subjected to vacuum ultraviolet curing enhancement, high-temperature gradient annealing, gradient sintering and vacuum curing treatment; and heat radiation on the surface of the coating is enhanced through laser-induced micro-nano structure regulation and silicon nitride film sputtering. Through collaborative optimization of base material treatment, coating construction, function strengthening and quality control, the interface bonding strength, the comprehensive performance and the environmental adaptability of the spaceflight metal wire coating are remarkably improved, and the service life of the spaceflight metal wire coating is remarkably prolonged.

The invention discloses a gas concentration detection circuit and method based on differential measurement and reference compensation, and the circuit comprises at least one active gas sensitive element, the electrical parameters of which change along with the concentration of a target gas; the sensitivity of the reference gas sensitive element to the target gas is at least lower than that of the active gas sensitive element by a preset percentage threshold value; the active gas sensitive element and the reference gas sensitive element are connected in a differential pair form to form a differential signal generation unit; the differential amplification circuit is used for amplifying the differential signal output by the differential signal generation unit; the output signal of the differential amplification circuit is used for representing the concentration information of the target gas. According to the invention, environmental interference and baseline drift are directly and effectively suppressed from the hardware level, the stability and selectivity of gas concentration measurement are improved, and meanwhile, the holding circuit is simple in structure, low in cost and convenient for large-scale application.

A wireless power transmitter that transmits power to a wireless power receiver, the wireless power transmitter including a communication unit configured to communicate with the wireless power receiver; and a controller, wherein the communication unit receives a plurality of packets including a foreign object detection (FOD) status packet from the wireless power receiver, wherein the controller determines whether a foreign object is present in a charging area of the wireless power transmitter on the basis of the FOD status packet, wherein the communication unit transmits, to the wireless power receiver, a response signal indicating whether the foreign object is present in the charging area of the wireless power transmitter on the basis of a result of the determination, wherein the response signal is determined using a measured peak frequency of a power signal transmitted by the wireless power transmitter and a reference peak frequency included in the FOD status packet received from the wireless power receiver, and wherein the plurality of packets further include at least one of a signal strength packet, an end power transfer packet, a power control hold-off packet, a configuration packet, an identification packet for transmitting receiver identification information, an extended identification packet, a general request packet, a special request packet, a control error packet, a renegotiation packet, a 24-bit received power packet, an eight-bit received power packet, and a charging status packet.

The invention discloses a liquid qualification detection system and method, and belongs to the technical field of intelligent detection and data analysis, multi-dimensional response signals of to-be-detected liquid under excitation of different frequencies are obtained, and a multi-dimensional response data set containing optical, acoustic, electrical and thermal physical channels is constructed; extracting a liquid component behavior characteristic spectrogram through a multi-modal characteristic fusion module; a liquid qualification judgment model is constructed based on a clustering enhanced convolutional neural network and a multi-scale attention mechanism, and classification prediction of the liquid qualification state is realized; further combining confidence coefficient calculation with historical sample database comparison, performing adaptive calibration on a prediction result, and outputting a detection result and a risk level; if the detection result is unqualified or the risk level exceeds the threshold value, an alarm mechanism is automatically triggered, and abnormal feature parameters are marked; the method has the advantages of high detection precision, high response speed, high anomaly recognition capability, excellent traceability and the like, and is suitable for scenes of liquid quality control, environment detection, biological sample analysis and the like.

The invention relates to the technical field of water and soil conservation and ecological restoration, in particular to an ecological slope water and soil loss monitoring and restoring system and method.The system comprises a monitoring and restoring node, a monitoring and restoring node and a monitoring and restoring node, the monitoring and restoring node is internally provided with a double-micropore channel for measuring the conductivity of a water sample in a layered mode, and a pore water pressure sensor and a pressure release valve are used for conducting pore pressure monitoring and micro pressure release; a double-verification logic module is built in, two-stage necessity verification and two-stage effectiveness evaluation are achieved, and then the instability risk is accurately judged and self-adaptive repair is achieved. The ecological slope water and soil loss monitoring and repairing system and method solve or at least relieve the problems that an existing system is difficult to distinguish transient disturbance and real instability precursor and lacks intervention effect evaluation and self-adaptive optimization, the instability precursor and disturbance can be accurately distinguished, intervention can be effectively evaluated, self-adaptive optimization is achieved, and the ecological slope water and soil loss monitoring and repairing system and method are provided. And the intelligence, intervention credibility and long-term reliability of the system are improved.

The invention discloses a soil column porosity dynamic inversion system and method and a sensor array structure, and belongs to the technical field of environmental soil tests. The system comprises a test soil column system; the acoustic monitoring module is used for acquiring ultrasonic travel time and amplitude information in the soil column; the resistivity monitoring module is used for acquiring resistivity information in the soil column; and the data processing host receives data of the acoustic monitoring module and the resistivity monitoring module, executes a joint inversion algorithm based on a rock physical coupling model, and dynamically inverts spatial distribution and time evolution of the three-dimensional porosity in the soil column by constructing a target function containing ultrasonic travel time / amplitude data and resistivity data at the same time. According to the invention, real-time, three-dimensional, high-resolution and high-adaptability soil column internal structure monitoring can be realized, and solid data support is provided for environmental rock and soil pollution migration mechanism research and restoration effect evaluation.

The invention discloses an intelligent detection method and device for a cotton water miscellaneous micronaire value based on multi-source information fusion, and relates to the field of cotton quality detection.The method comprises the steps that the weight, the initial air pressure difference, the cotton sample image, the resistance value, the environment temperature and the environment humidity of a to-be-detected cotton sample are obtained; according to the initial air pressure difference and the weight, the compensated air pressure difference is determined through a weight compensation model; according to the cotton sample image, utilizing an image segmentation technology to extract the impurity area percentage and the impurity grain number of the cotton sample to be detected, and determining the impurity content of the cotton sample to be detected; according to the resistance value, the environment temperature and the environment humidity, utilizing a moisture regain prediction model to determine the moisture regain of the cotton sample to be detected; and determining the micronaire value of the cotton sample to be tested by using a Stacking ensemble learning model according to the compensated air pressure difference, impurity content and moisture regain. According to the method, the moisture regain, the impurity rate and the micronaire value of the cotton can be accurately detected in a non-standard detection environment.

A thermal conductivity detector (1) is provided with: a cell block (2) provided with a measuring cell (10) in which a heating wire (12) for exchanging heat with a gas is arranged, the cell block (2) being provided with a cell inlet (11) for flowing the gas into the measuring cell (10) and a cell outlet (13) for flowing the gas out of the measuring cell (10); an outlet flow path (4) leading to the cell outlet (13) of the cell block (2); a buffer block (6) having a buffer space (14) in the inside and having a flow inlet (15) for flowing the gas into the buffer space (14) and a discharge outlet (16) for discharging the gas from the buffer space (14), the flow inlet (15) being fluidly connected to the outlet flow path (4); and a discharge member (8) holding a fluid resistance portion (20) for increasing a fluid resistance of the discharge outlet (16) and being installed to the buffer block (6) in a manner that the gas discharged from the discharge outlet (16) passes through the fluid resistance portion (20), the discharge member (8) being provided to be able to be detached from the buffer block (6) together with the fluid resistance portion (20).

The invention relates to the technical field of water quality monitoring, and discloses a sewage quality on-line monitoring method and system.The sewage quality on-line monitoring method comprises the steps that time alignment processing and data quality evaluation are conducted on original water quality sequences collected at all monitoring point positions, and aligned data and data quality weights are obtained; constructing a time delay space diagram; performing joint estimation on the global water quality state to obtain global state estimation and uncertainty; performing anomaly detection and identifying an abnormal propagation path and a suspected source to obtain an anomaly score and a source confidence sorting list; formulating a self-adaptive sampling strategy, and determining the sampling frequency of each monitoring point position; on the basis of the time-delay observation equation and weighted optimization, online joint estimation of the global water quality hidden state is achieved, reverse traceability is carried out by combining the residual standardization anomaly score and the time-delay space diagram, the anomaly can be found, the possible source and propagation direction of the anomaly can be located, and the pertinence and interpretability of disposal are improved.

The invention discloses a humidity self-adaptive calibration method of a resistance type gas sensor. The method comprises the following steps: firstly, measuring basic resistance values of a gas sensor under different humidities and response resistance values of target test gases with different humidities and different concentrations; fitting a linear relation between a gas response resistance change value and a basic resistance value under a fixed target test gas concentration to obtain a proportionality coefficient and a bias coefficient; fitting a function relationship among the target test gas concentration, the proportionality coefficient and the bias coefficient through a linear regression method, and calculating the actual concentration value of the target test gas under different humidity conditions by using the function relationship, so as to adaptively calibrate the humidity drift of the gas sensor. By revealing the linear relation between the basic resistance value and the gas response resistance change value when the humidity changes, the self-calibration method which does not need external hardware and is low in calculation complexity is achieved, and a reliable low-cost solution is provided for actual deployment of the sensor.

The invention discloses a cable defect early warning method and device, terminal equipment and a storage medium, and belongs to the technical field of cable defect early warning, and the method comprises the steps: carrying out the frequency sweeping test of an equivalent circuit model, generating a reflection coefficient spectrum, separating a low-frequency component from the reflection coefficient spectrum, and taking the low-frequency component as a head-end reflection coefficient, through combination of the head end reflection coefficient, the internal resistance of the test equipment and the cable impedance, equivalent impedance at the joint of the test fixture and the head end of the cable is obtained through quantification, and an original reflection coefficient spectrum is corrected according to the equivalent impedance, so that impedance mismatch of the test fixture in the test process is eliminated. The corrected reflection coefficient spectrum can reflect the impedance of the cable body more accurately, so that the subsequently obtained time domain response can reflect the defect condition of the cable body more truly, and the accuracy of cable defect early warning is improved. The problem that the accuracy of cable defect early warning is low due to the fact that the original reflection coefficient spectrum cannot be corrected in the prior art can be solved.

A wireless power receiver that receives power from a wireless power transmitter, the wireless power receiver including a communication unit configured to communicate with the wireless power transmitter; and a main controller, wherein the main controller generates a plurality of packets including a foreign object detection (FOD) status packet, wherein the communication unit transmits the FOD status packet to the wireless power transmitter, and the communication unit receives, from the wireless power transmitter, a response signal indicating whether a foreign object is present in a charging area of the wireless power transmitter, wherein the response signal is determined using a measured peak frequency of a power signal transmitted by the wireless power transmitter and a reference peak frequency included in the FOD status packet received from the wireless power receiver, and wherein the plurality of packets further include at least one of a signal strength packet, an end power transfer packet, a power control hold-off packet, a configuration packet, an identification packet for transmitting receiver identification information, an extended identification packet, a general request packet, a special request packet, a control error packet, a renegotiation packet, a 24-bit received power packet, an eight-bit received power packet, and a charging status packet.

The invention relates to the technical field of osmotic pressure testing, and particularly discloses an optimization system for osmotic pressure testing of an ipratropium bromide solution, which comprises a data acquisition module, a data processing module and a data processing module, the data recording module records the operation state data of the conductivity acquisition instrument in the use process, and the operation state of the conductivity acquisition instrument directly affects the accuracy of the conductivity data of the standard solution, so that the operation state of the conductivity acquisition instrument can be analyzed based on the data; the conductivity data can be corrected, so that the data is closer to a true value, the reliability of a quality analysis result of a standard solution is improved, the accuracy of a precision detection result of an osmotic pressure detection instrument and an osmotic pressure detection result of an ipratropium bromide solution is further improved, and the optimization of an osmotic pressure detection method is realized.

An electrified vehicle system is presented. The electrified vehicle system has a traction battery incorporating a plurality of electrically connected array modules submerged in a cooling fluid. A sensing component, coupled with at least one array module and immersed in the cooling fluid, is configured to detect a voltage drop when the fluid's contamination level reaches a threshold, thereby increasing electrical conductivity. This sensed voltage drop is communicated to a traction battery monitoring system, enabling proactive management of cooling fluid integrity.

The present disclosure provides a method for detecting a foreign object placed in a charging area of a wireless power transmitter and a wireless power transmitter. The method includes transmitting, by the wireless power transmitter, a power signal having a predetermined strength; measuring, via a controller, a peak frequency of the power signal; receiving, from a wireless power receiver, a data packet including a mode bit field, the mode bit field indicating whether the data packet includes a reference peak frequency of the wireless power receiver, wherein the reference peak frequency is pre-assigned to the wireless power receiver; in response to the mode bit field indicating that the data packet includes the reference peak frequency, determining, via the controller, an adaptive threshold frequency adjusted based on the reference peak frequency; and determining, via the controller, whether a foreign object is present in the charging area based on a comparison of the measured peak frequency of the power signal and the determined threshold frequency.

The invention provides an electrolyte treatment system, and relates to the technical field of electrolyte treatment. The electrolyte treatment system comprises a carrier, the carrier is used for carrying a device, a to-be-detected sample tank, a powder storage tank and a liquid storage tank, the powder storage tank is used for storing solid raw materials, the liquid storage tank is used for storing liquid raw materials, and the to-be-detected sample tank is used for storing to-be-detected electrolyte; the carrier, the preparation device and the detection device are arranged around the transfer device in a surrounding manner; wherein the transfer device is configured to be capable of conveying the appliance and the powder storage tank to the preparation device, the solid raw materials in the powder storage tank are injected into the appliance in the preparation device, and the transfer device can be used for injecting the liquid raw materials in the liquid storage tank into the appliance so as to prepare the electrolyte to be detected; the transfer device is configured to be capable of conveying a to-be-detected sample tank or appliance to the detection device, and the detection device can detect at least one of the conductivity, solvation energy and ultraviolet-visible absorption spectrum of the to-be-detected electrolyte.

The invention relates to the technical field of soil physical parameter in-situ measurement, and discloses a soil layer natural water content portable intelligent measuring instrument based on multi-source sensing fusion, which comprises a composite probe assembly and an intelligent measurement and control host which are physically connected, the composite probe assembly is configured to be inserted into a soil layer to be tested to construct a multi-physical field test environment, and an electrical transceiving unit and an acoustic transceiving unit are integrated in the composite probe assembly. By constructing a cross physical field excitation and multiphase parameter collaborative decoupling mechanism, a multidimensional dynamic correlation model is established by using the thermosensitive drift characteristic of the sound velocity of a mixed medium during thermal disturbance and the transient step response of a dielectric constant under an acoustic radiation force field; the problems that the coupling influence of the water content and the volume weight cannot be distinguished and the conductivity of bound water and the conductivity of free water are difficult to separate in a traditional means are effectively solved, and four independent physical quantities including the volumetric water content, the in-situ dry volume weight, the bound water content and the actual conductivity of pore water are synchronously inverted through a single probe. And the decoupling precision of the equipment on complex multi-phase soil medium parameters is improved.

The invention discloses a dangerous rock mass structural surface dynamic damage identification method based on a resistance distribution state, and relates to the technical field of rock-soil slope dangerous rock mass collapse monitoring and early warning, and the method comprises the steps: respectively arranging electrode arrays at two sides of the junction of a test dangerous rock mass and a stable bedrock; the electrode array comprises a group of power supply electrodes and a plurality of measuring electrodes; simulating a structural surface damage expansion process of the test dangerous rock mass based on a stepped damage loading mode, and obtaining a dangerous rock mass fracture damage factor in the structural surface damage expansion process; acquiring resistivity data corresponding to the damage expansion process of the structural surface based on the electrode array; based on the dangerous rock mass fracture damage factors and the resistivity data, constructing a damage and resistivity correlation model; and based on the damage and resistivity correlation model, carrying out damage identification on the structural surface of the to-be-identified dangerous rock mass. The technical problem that in the prior art, it is difficult to accurately capture hidden structural surface damage is solved.

The invention belongs to the field of hydrogen sensors, and particularly relates to an MEMS hydrogen sensor based on a high-entropy alloy and a preparation method of the MEMS hydrogen sensor. The hydrogen sensor comprises an insulating substrate, an interdigital electrode and a hydrogen sensitive layer, the hydrogen sensitive layer is formed by compounding high-entropy alloy nanoparticles composed of at least five transition metal elements and a semiconductor metal oxide substrate, and the high-entropy alloy nanoparticles are uniformly dispersed on the surface of the semiconductor metal oxide substrate to form a heterojunction; the atomic percent of each transition metal element in the high-entropy alloy nanoparticles is 5%-35%; the semiconductor metal oxide substrate is of a SnO2 or ZnO nano structure, and the specific surface area is larger than or equal to 50 m < 2 > / g. The preparation method is the preparation method of the hydrogen sensor. The hydrogen sensor provided by the invention has an ultralow hydrogen detection limit, the response speed is within a second level, the consumption of noble metal is greatly reduced, and the activity attenuation in a high-temperature environment is small.

The invention discloses a test device and method for in-situ monitoring of hydrates by using thermal-electric coupling, and belongs to the technical field of experiments for simulating generation and decomposition of hydrates in laboratories. The device comprises a hydrate synthesis and decomposition system, a temperature control system, a pressure control system, a thermal-electric parameter measurement system, a gas collection system and a data acquisition and user monitoring system, wherein a multi-point temperature sensor, a resistivity measurement probe and a heat conductivity coefficient measurement probe are arranged in a reaction kettle cavity; in-situ and real-time monitoring of multiple physical property parameters such as temperature distribution, resistivity change and heat conductivity coefficient in the whole process of generation and decomposition of the hydrate sample can be realized. According to the invention, thermal-electric coupling monitoring can be realized under high-pressure and low-temperature conditions, and a high-precision means is provided for hydrate formation mechanism research and exploitation processes.