2750 results about "Temperature sensing" patented technology

The invention relates to the technical field of spraying process control, and discloses a spraying process self-adaptive adjustment method based on temperature measurement. The method comprises the steps that target coating parameters and base material physical property data are obtained, and initial spraying control parameters are generated through a first intelligent calculation model in combination with historical process data and real-time environment monitoring data; when spraying is executed, heat distribution data of a spraying area are collected in real time through a temperature sensing device, and according to the difference between the heat distribution data and a preset target temperature interval, technological parameters are dynamically corrected through a first self-adaptive regulation and control algorithm; meanwhile, a machine vision system is used for capturing actual coating morphological characteristics, and after the actual coating morphological characteristics are compared with target parameters, excitation parameters are adjusted in a partitioned mode through a second self-adaptive regulation and control algorithm so as to optimize uniformity; and collecting whole-process data, comprehensively evaluating the whole-process data through the second intelligent calculation model to generate a process optimization instruction, and updating the first intelligent calculation model and the first self-adaptive regulation and control algorithm parameters according to the process optimization instruction.

The invention discloses a PID temperature control system and method for a semiconductor etching machine, and relates to the field of temperature control, and the system comprises a coupling relation construction module, a temperature sensing confidence module, a decoupling compensation module, a coupling relation dynamic updating module, and a transient temperature change control module. According to the invention, by constructing the coupling relation matrix and the inverse matrix thereof, decoupling control of multi-area temperature control is realized, cross interference is effectively suppressed, and the temperature control precision is improved. And a multi-point temperature measurement fusion and anti-interference algorithm is introduced, so that the temperature measurement accuracy and the system robustness are enhanced. A response residual vector is associated with a control vector, and a coupling matrix is dynamically optimized, so that the system has self-learning and model self-adaption capabilities and adapts to working condition changes. And a transient temperature change quick response mechanism is set, so that the control priority can be improved and the PID parameters can be adjusted when the temperature changes suddenly, the response speed and the control stability of the system to abnormal temperature change are remarkably improved, and the thermal uniformity and the process consistency in the etching process are ensured.

The invention discloses a thermal balance control method for a liquid cooling charging module, and relates to the technical field of power electronics, and the method comprises the steps: deploying a multi-dimensional distributed temperature sensing array in a key heating region of the liquid cooling charging module; original data are acquired through the temperature acquisition module and transmitted to the temperature field reconstruction module, a three-dimensional dynamic temperature field model is constructed by using a spatial interpolation algorithm, and temperature values, temperature gradients and temperature difference distribution of all regions are output in real time; the thermal balance control module compares the model output data with a preset temperature threshold value and a temperature difference threshold value, and if the threshold value exceeding condition exists, a regulation and control instruction is sent to a partition cooling execution unit; the subarea cooling execution unit comprises three independent branches (corresponding to key areas), and each branch realizes accurate adjustment through an independent electromagnetic flow valve and a variable frequency water pump; and the steps are circulated until the temperatures of all the key areas reach the standard and the temperature difference of the adjacent areas meets the standard, so that the heat balance precision and the operation safety of the liquid cooling charging module are effectively improved.

The invention discloses a high-temperature wireless temperature probe based on NTC lead time division multiplexing and a manufacturing method, and relates to the technical field of wireless temperature probes, and the high-temperature wireless temperature probe comprises a needle tube assembly, a ceramic insulating ring and a coaxial coupling connecting shaft which are connected in sequence; a PCBA board is arranged in the needle tube assembly, and an environment temperature sensor lead and a time division multiplexing circuit are integrated on the PCBA board and selectively connected with the radio frequency receiving and transmitting circuit or the RC charging and discharging temperature measuring circuit. At least two temperature sensors; the ceramic insulating ring is arranged at the joint part of the needle tube assembly and the coaxial coupling connecting shaft, and an inner cavity forms a closed cavity; the coaxial coupling connection shaft comprises a metal outer wall which forms a radio frequency signal ground and a metal inner conductor which forms a coaxial transmission structure with an environment temperature sensor lead. According to the high-temperature wireless temperature probe, mutual interference between the radio frequency function and the temperature sensing function of the wireless temperature probe is effectively eliminated, and the high-temperature wireless temperature probe with high-precision temperature measurement performance is provided.

The invention relates to the technical field of high temperature sensing and data fusion, in particular to a method for array thermocouple multi-mode compensation and DIC stress field space-time coupling fusion, which comprises the following steps: step 1, in a thermotechnical signal intelligent processing and compensation unit, completing hardware and algorithm collaborative design of an electronic cold junction compensation module; 2, constructing a multi-algorithm fusion compensation module, integrating nonlinear correction, drift compensation and interference suppression functions, and accurately coping with various interference signals through a dynamic weighting strategy; step 3, adopting a sub-pixel-level matching algorithm and a homography matrix calibration technology to realize high-precision space alignment of the temperature and stress measurement units; and establishing a nonlinear incidence relation between the temperature and the stress based on an improved Gaussian process regression model. According to the invention, based on collaborative design of the thermotechnical signal intelligent processing and compensation unit and the DIC vision and temperature data conjoint analysis module, the core precision problem of temperature and stress detection in a high-temperature environment is solved through hardware optimization and algorithm innovation.

The invention discloses a temperature and pressure sensor for a new energy automobile, and belongs to the technical field of sensor equipment, the temperature and pressure sensor comprises a plug assembly, a shell and a protective sleeve, a support seat, a circuit board, a temperature sensing probe and a pressure sensing element are arranged in the shell, the protective sleeve is arranged at the lower waist part of the support seat, and the temperature sensing probe is located in the protective sleeve and is in electric signal connection with the circuit board; a square groove for containing the pressure sensing element and the circuit board is formed in the top of the support base, the pressure sensing element is arranged at the bottom of the circuit board and is in electric signal connection with the circuit board, and a pressure transmission channel is further arranged in the shell. The pressure transmission channel comprises a gap part defined by a protective sleeve and a shell and a special-shaped channel formed in the support base, a circular pressure groove is formed in the square groove, the circular pressure groove is matched with the pressure sensing element to form a pressure cavity which is eccentrically designed relative to the shell in the axial direction, and the special-shaped channel is formed in a medium leading-in area. Therefore, the medium entering surface area can be increased through the eccentric design, and the response speed of medium pressure measurement is ensured.

The invention discloses a dynamic digital compensation method for the metering error of wide-temperature-interval electric energy meter equipment, and the method comprises the steps: collecting the metering error data of the equipment at different temperatures through a temperature sensing module, so as to construct a historical temperature-error relation library; training an adaptive compensation model based on a historical temperature-error relation library to establish a nonlinear mapping relation between the temperature and the error; in the real-time operation process of the equipment, the current equipment temperature is collected through a temperature sensing module, and the current equipment temperature and the real-time load rate are input into the self-adaptive compensation model to obtain error correction; and the metering result is dynamically adjusted in real time according to the current equipment temperature and the error correction amount so as to output a compensated accurate metering value. According to the method, a temperature sensor does not need to be newly added, dynamic error correction is realized only by utilizing the existing temperature sensing capability of equipment, the metering precision and stability in a wide-temperature environment can be improved, the comprehensive cost is reduced, and the high-precision metering requirements in special environments such as extremely cold and high temperature environments are met.

The invention discloses a land energy storage container self-adaptive liquid cooling heat dissipation device and method, the device comprises a liquid cooling unit, a self-adaptive circulation pipeline, a variable flow pump valve group, a distributed temperature sensing module and a BMS main control module, through data monitoring, model establishment, thermal load prediction, selection of a proper cooling mode, and introduction of reasonable compensation, the self-adaptive liquid cooling heat dissipation of the land energy storage container is realized. And the variable-frequency circulating pump and the valve body are adjusted and combined for execution. Through multi-parameter fusion control, dynamic impedance matching and intelligent algorithm optimization, a cooperative control mode of a variable orifice regulating valve and a variable frequency circulating pump is innovatively adopted, and dynamic matching of cooling loop impedance is achieved; through temperature field modeling, heat dissipation demand grading prediction, a cooling parameter self-optimization algorithm and fault self-diagnosis, the balance degree of the temperature field is effectively improved, heat dissipation energy consumption is reduced, environmental adaptability is enhanced, and meanwhile the method has the advantages of being high in reliability, wide in environmental adaptability and low in operation and maintenance cost.

The invention relates to the technical field of intelligent temperature control, and discloses an intelligent temperature control system and a control method thereof. The temperature sensing module is used for collecting real-time data of the environment of the target area, including temperature, humidity, air flow rate and external environment temperature; the data processing module is used for receiving, processing and analyzing the collected real-time data; and the temperature prediction module is used for receiving the processed and analyzed real-time data and predicting a future temperature change trend based on historical data. By adopting the technical scheme of combining the temperature prediction module and the data processing module, the temperature change trend of the target area is accurately predicted by analyzing historical data and real-time data. Therefore, the system can judge temperature fluctuation in advance and make response adjustment, and compared with a mode that a traditional temperature control system can only adjust according to a set value, the method can more flexibly cope with environmental changes, and the accuracy and stability of temperature control are remarkably improved.

The invention relates to the field of data processing, in particular to a multi-parameter collaborative optimization method and system based on a data center cooling system, and the method comprises the steps: obtaining a cooling subsystem of a computing equipment integrated cabinet, and carrying out the short-time temperature analysis of the computing equipment integrated cabinet based on infrared monitoring data and temperature sensing data, if it is confirmed that the limiting temperature of the component is not higher than the corresponding preset temperature threshold value according to the current temperature distribution, and it is confirmed that the continuous heating temperature is lower than the preset temperature change threshold value based on the temperature change trend, the temperature change trend and the current temperature distribution are obtained; if yes, returning to the step of executing multi-modal data acquisition on the computing equipment integration cabinet and the cooling subsystem, and otherwise, synthesizing the predicted temperature data, obtaining a cooling subsystem configuration strategy and setting the cooling subsystem. According to the invention, the cooling monitoring and adjustment of the computing equipment of the data center are realized by integrating the data collected by the temperature sensor and the thermal imaging probe which are reasonably arranged.

The invention provides a driving method of a display panel, a driving circuit and a display device.In the driving method of the display panel, reference voltage and environment temperature form a first mapping table, target electrical parameters of the display panel and the environment temperature form a second mapping table, and a temperature sensing module is adopted to detect the environment temperature of the display panel; the method comprises the following steps: acquiring a corresponding detection voltage, comparing the detection voltage with a changing reference voltage, acquiring a target reference voltage according to an overturning state of a level signal obtained by comparison, and acquiring a current environment temperature according to the target reference voltage; various target electrical parameters of the display panel are determined according to the environment temperature and the second mapping table, parameter adjustment of the display panel is carried out, linkage adjustment of the multiple different electrical parameters is achieved, it is guaranteed that the display panel obtains different voltage setting and driving voltages at the current environment temperature, the effectiveness of low-temperature compensation is improved, and the user experience is improved. The deflection consistency of the liquid crystal is realized, and the display effect is improved.

The invention relates to a device for performing electric field treatment on a digestive tract, which comprises a support body, an electrode array film and a pulse generator, an electrode is coupled to the pulse generator through an electrode lead embedded in a film body, an electric heating wire is further embedded in the film body, and the electric heating wire is connected with the support body. The heating wire is coupled to a pulse signal output end of the pulse generator through a heating wire lead embedded in the membrane body, at least one electric connection point is arranged between the heating wire and the electrode on the electrode array membrane, and a voltage signal between the heating wire lead and the electrode lead serves as a temperature sensing signal. The temperature sensing circuit and the electric heating circuit are integrated, the circuit is simple, and leads on the electrode array film are reduced.

The invention discloses a new energy automobile high-voltage connector thermal management system and an optimization control method, and relates to the technical field of connecting piece thermal management. The multi-dimensional temperature sensing module is used for acquiring and fusing data by using a thermocouple, an infrared sensor and the like; the combined type heat dissipation execution module adopts a bionic liquid cooling plate, a nano coating fin and a semiconductor chilling plate to dissipate heat; the intelligent heat management control module is used for adjusting heat dissipation by means of an MPC algorithm and fuzzy PID; the fault diagnosis and safety protection module can give an alarm, cut off power and guarantee the reliability of the sensor; and the data interaction and optimization module is used for realizing data interaction and strategy remote optimization. Through multi-module cooperation and intelligent control, the working temperature of the connector is reduced, the heat dissipation efficiency and the control precision are improved, the response time is shortened, and the energy consumption and the service life are balanced; and meanwhile, the fault diagnosis capability is enhanced, the maintenance frequency is reduced, strategy optimization is realized by means of a digital technology, and safe and efficient operation of the high-voltage connector is guaranteed.

The invention discloses a temperature sensing and radio frequency identification circuit integrated temperature measurement method and system, which are applied to the technical field of temperature sensor data processing, and the method comprises the steps: obtaining the response time when each temperature sensing node collects the temperature according to a corresponding first preset sampling frequency, and the signal transmission delay time of a corresponding radio frequency identification chip; correcting response time by using a compensation matrix constructed according to the signal transmission delay time sequence to obtain an adjusted response time sequence, and respectively determining a sampling configuration scheme and reference task bearing capacity corresponding to the temperature sensing node according to the adjusted response time sequence and equipment parameters; and carrying out temperature acquisition, and carrying out interpolation reconstruction and optimization on the acquired temperature value to obtain optimized temperature data. According to the method, the response speed of the distributed temperature sensing system is adjusted, and the sampling strategy is adjusted in combination with the dynamic change of the distribution characteristics of the temperature field, so that the temperature monitoring precision is improved.

The invention relates to the technical field of motor control and sensors, and discloses a displacement error dynamic compensation method, device and equipment and a medium, and the method comprises the steps: obtaining the temperature data and original displacement data of a plurality of temperature measurement points in a moving part and an environment, calling a pre-built nonlinear mapping relation between a temperature gradient and a displacement deviation, and calculating the displacement error of the moving part; based on the nonlinear mapping relation, adaptive filtering is carried out on the temperature data and the original displacement data, a trend component representing temperature drift is separated out, displacement data without the trend component is obtained, and a dynamic compensation instruction is generated based on the trend component and the nonlinear mapping relation; and adjusting the displacement data of which the trend component is removed and outputting compensation displacement data. According to the method, the nonlinear mapping model of the temperature gradient and the displacement deviation is constructed, the drift trend is extracted in combination with multi-point temperature sensing and self-adaptive filtering, the compensation instruction is dynamically generated, accurate real-time correction of the displacement error is achieved, and the responsiveness and accuracy of compensation are improved.

The invention discloses a fire detection method and device based on multi-modal perception and D-S evidence theory fusion. The method comprises the following steps: collecting multi-modal perception big data at least comprising video image data and temperature sensing data in a monitoring area; performing fire visual feature analysis on the video image data to generate first basic probability distribution; performing fire temperature characteristic analysis on the temperature sensing data to generate second basic probability distribution; taking the first basic probability distribution and the second basic probability distribution as two independent evidence sources, and fusing by adopting a D-S evidence theory to obtain a fused third basic probability distribution; converting the third basic probability distribution into a fire occurrence probability for decision making; and when the fire occurrence probability exceeds a preset alarm threshold, determining that a fire occurs and triggering an alarm. According to the fire detection method, multi-modal sensing big data are synchronously collected and fused, multi-source uncertain information is processed and decided under the framework of the D-S evidence theory, and the early stage of fire detection is remarkably improved.

The invention belongs to the technical field of battery replacement, and provides a battery replacement cabinet system applied to an electric bicycle, which comprises the following steps: analyzing the fluctuation condition of temperature data and establishing a dynamic threshold compensation mechanism by using the temperature data collected by a temperature sensing monitoring unit and a composite monitoring unit; the method comprises the following steps: performing time sequence construction on temperature data collected by a temperature sensing monitoring unit and a composite monitoring unit, analyzing the time sequence to obtain an intrinsic mode function component, converting the intrinsic mode function component to obtain a Hilbert spectrum, distinguishing a low-frequency intrinsic mode function component and a high-frequency intrinsic mode function component according to the Hilbert spectrum, and calculating the intrinsic mode function component according to the low-frequency intrinsic mode function component and the high-frequency intrinsic mode function component. Integrating the low-frequency intrinsic mode function and the high-frequency intrinsic mode function to obtain a temperature change time domain envelope line; analyzing the slope of the smooth rising stage of the temperature change time domain envelope, judging whether the charging temperature change of the battery is normal or not in real time, and if not, generating a pre-alarm signal; and based on the generated pre-alarm signal, analyzing a Pearson's correlation coefficient between the monitoring units, and positioning and adjusting a temperature anomaly region.

The utility model relates to an armored temperature and pressure integrated sensor, and the sensor comprises an armored housing which comprises a housing body and a sleeve connected with the housing body, and the sleeve is internally provided with a closed cavity; the circuit board is arranged in the armored shell; the temperature sensing element is mounted in the closed cavity; the support is arranged in the armored shell and comprises a support body, a metal terminal is arranged in the support body, one end of the metal terminal extends into the armored shell to be connected with the temperature sensing element, and the other end of the metal terminal extends out of the support body to be connected with the circuit board; and the pressure sensing element is mounted in the bracket and connected with the circuit board, and the pressure sensing element is used for detecting the pressure of an external pressure source. While temperature and pressure are measured synchronously, the excellent performance of the armored shell effectively protects internal elements from external physical impact, electromagnetic interference, severe temperature fluctuation and the like, it is ensured that the sensor can work stably and reliably in a complex environment and a complex medium, and the measurement precision is ensured.

The invention discloses a temperature sensing element for an aviation temperature sensor and a packaging method, and belongs to the technical field of aero-engine temperature detection.The temperature sensing element for the aviation temperature sensor comprises a shell, a cavity is formed in the shell in the axial direction, a step face is formed at one end of the cavity, and a plurality of shell through holes are formed in the step face; the platinum resistor unit comprises a ceramic column, a platinum wire wound on the periphery of the ceramic column and a leading-out wire welded with the platinum wire, the ceramic column is provided with an even number of through holes in the axial direction, and the leading-out wire penetrates through the through holes and then extends out of the cavity; the insulating tube is sleeved outside the outgoing line and is matched with the through hole of the shell; the end cover is arranged at the end where the step surface C of the shell is located and is in fusion welding sealing with the end surface of the shell; and the sheath is coaxially fixed at one end, opposite to the end cover, of the shell. The temperature sensing element can solve the technical problems of insulation degradation between the outgoing line and the shell of the existing temperature sensing element and lead series fatigue fracture failure.

The invention discloses a crosslinked polyethylene sheath insulation variable frequency cable, and relates to the technical field of cables, and the cable comprises a cable assembly, a temperature sensing mechanism penetrates through the center part of the inner side of the cable assembly, and a plurality of first heat dissipation assemblies are distributed on the side wall of the cable assembly in the circumferential direction at equal intervals; a second heat dissipation assembly is arranged between every two adjacent first heat dissipation assemblies. The temperature sensor is distributed in the middle of the inner side of the filling layer, and the wire conductors are annularly distributed on the inner side of the filling layer, so that the temperature sensor is arranged in the center between the wire conductors, and the temperature sensor can monitor the temperature generated by the wire conductors; according to the utility model, data can be transmitted to the controller through the sensing circuit, and the wire conductor stops working through analysis and control of the controller, so that the temperature is reduced, and the situation that the circuit cannot be normally used when the circuit fails or overload occurs due to overhigh load is avoided.

The invention relates to a shielding type total temperature probe, the end part of the total temperature probe is provided with a fixing part, the fixing part is fixedly provided with a shielding cover, the shielding type total temperature probe comprises a pair of thermocouple wires which are fixedly arranged on the fixing part, and the top end parts of the pair of thermocouple wires are positioned in the shielding cover and are fixedly provided with a temperature sensing element together; the vortex generators are fixedly installed on the inner wall of the shielding cover at intervals in the circumferential direction, and the vortex generators are arranged downwards in an inclined mode; an air inlet is formed in the top end of one side face of the shielding cover, and an air outlet is formed in the bottom end of the other side face of the shielding cover, so that airflow enters the shielding cover from the air inlet, flows through the vortex generator and then flows out from the air outlet. The total temperature probe can improve the temperature of the inner wall surface of the shielding case and reduce radiation errors; due to the introduction of the vortex generator, the airflow resistance is increased, the airflow temperature of a larger proportion is converted into the airflow total temperature, and the speed error is reduced; and the size and the arrangement mode of the vortex generator can be changed in a targeted manner according to different test environments, so that a high-precision airflow total temperature measurement result can be obtained.

The invention provides a low-coupling flexible self-powered multi-mode sensor and a preparation method and application thereof, and belongs to the technical field of flexible electronic materials. Comprising a temperature sensing layer, a pressure sensing layer and a humidity sensing layer which are stacked in sequence. The temperature sensing layer is made of a PEDOT: PSS / MWCNT composite material and outputs a temperature response signal through resistance change; the pressure sensing layer is formed by combining a PDMS layer with a micro-nano structure and a PET layer, and outputs a pressure response voltage signal based on a triboelectric effect; the humidity sensing layer is composed of PVA / CA composite matrix and EGaIn liquid metal, and humidity response signals are output through hygroscopicity induced resistance change. The sensor realizes simultaneous detection of three physical quantities of temperature, pressure and humidity, has low coupling degree among the sensing units, and can be applied to the fields of robot interaction, wearable health monitoring and environment monitoring.

The invention belongs to the technical field of cable monitoring, and particularly discloses and provides an optical fiber composite cable temperature sensing early warning system which utilizes a multi-level fusion algorithm to analyze a communication signal strength estimation coefficient and screen a cable reference temperature value so as to realize correlation verification of temperature and communication performance. Environment data corresponding to each cable detection point is detected, the environment data and reference data under the cable safe operation condition are compared and analyzed to estimate the environment temperature influence degree, the reference temperature value of the cable is combined for correction to obtain a contrast temperature value, the temperature assessment is more suitable for the actual operation state, and the reliability of the monitoring data is improved; according to the actual temperature and the contrast temperature value of each cable detection point, temperature anomaly fault root cause early warning is determined, systematic faults and local area faults are accurately distinguished through double judgment of the proportion of the anomaly detection points and the space aggregation degree, differential maintenance strategies are guided, and unnecessary overhaul is reduced.

The invention relates to the technical field of power system intelligent monitoring, and discloses a construction method and system of a digital twinborn model of a cable tunnel, and the method comprises the steps: collecting the skin temperature data and physical geometric data of a high-voltage cable in the cable tunnel through a sensing layer, and constructing a physical geometric model of the cable tunnel; based on the physical geometric data and the temperature data, establishing a cable temperature field simulation model in a network layer, and generating cable temperature field distribution data through multi-physical field coupling simulation; temperature field distribution data and real-time monitoring data are integrated in an application layer, a visual temperature monitoring platform is constructed, and the temperature change trend of the cable is analyzed and predicted through time sequence data. According to the method, the operation state of cable equipment in a cable tunnel is simulated by using a digital twinning technology, and cable holographic temperature sensing is realized. By monitoring and analyzing the temperature of the cable in real time, the load can be reasonably adjusted, the overload and loss of the cable can be reduced, the energy efficiency of a power system can be improved, and the purposes of energy conservation and emission reduction can be achieved.

The invention belongs to the field of dies, and particularly relates to a cam cover die-casting die with a spiral cooling structure, a die table mechanism comprises a lower die table and an upper die table which are combined, and a lower die core and an upper die core which are matched with each other are arranged in the lower die table and the upper die table; the pouring mechanism comprises a pouring end seat arranged on the upper mold table, a pouring channel penetrating through the upper mold core is formed in the pouring end seat, and the other end of the pouring channel penetrates into a closed cavity of the lower mold core and the upper mold core; the track mechanism comprises a track table arranged on the outer side of the cavity; the multi-layer structure of the spiral pipe is in direct contact with the outer wall of the cavity, the spiral flowing path of a cooling medium is combined, the heat exchange area and cooling uniformity are increased, the casting deformation risk is reduced, a temperature sensing end base integrated temperature sensor monitors the temperature of the cavity in real time, and the flow of the cooling medium is dynamically adjusted in cooperation with a deformation piece driven by an air bag piece. And intelligent control of slow-cooling anti-cracking in a high-temperature area and rapid-cooling shaping in a low-temperature area is realized.

The invention discloses a DTS and DAS fusion-based cable fault diagnosis and positioning method and system, and the method comprises the steps: synchronously collecting a distributed temperature sensing signal and a distributed sound wave sensing signal through a single sensing optical fiber which is laid together with a cable, and carrying out the time-space synchronization processing, obtaining temperature field data and phase disturbance field data which are aligned under the same space-time coordinate; calculating a cross-modal coherence spectrum of the temperature field data and the phase disturbance field data, quantifying physical coupling strength of vibration and temperature, and screening out potential fault candidate regions with coupling correlation; for the potential fault candidate region, adopting a dynamic attention mechanism of adaptive adjustment of a temperature change rate to perform nonlinear semantic fusion on the temperature feature and the vibration time-frequency feature to generate a fusion feature manifold; and calculating an entropy anomaly index reflecting a feature concentration ratio based on the generated fusion feature manifold, performing weighted calculation in combination with the coupling strength of the cross-modal coherence spectrum, and outputting an accurate spatial position and a fault type of a cable fault.

The utility model provides a gain control device of a silicon photomultiplier, which comprises a temperature sensing module arranged on the surface of the silicon photomultiplier and used for sensing the temperature of the silicon photomultiplier and generating temperature information; one end of the voltage conversion circuit is connected with the first power supply, the other end is connected with the power supply input end of the silicon photomultiplier, and the voltage conversion circuit is used for performing voltage conversion on the first power supply and outputting conversion voltage to the silicon photomultiplier; the processing module is connected with the temperature sensing module and the voltage conversion circuit and used for obtaining the temperature information, generating a voltage control signal based on the temperature information and according to the temperature-voltage mapping relation, sending the voltage control signal to the voltage conversion circuit so as to supply power to the voltage conversion circuit, conducting voltage conversion on the first power source based on the voltage control signal and outputting the converted voltage. And outputting a conversion voltage corresponding to the voltage control signal. The gain control device of the silicon photomultiplier provided by the utility model improves the accuracy of gain control of the silicon photomultiplier.

The invention discloses a method for identifying micro-leakage of a shaft by using distributed temperature gradient sensing data, which comprises the following steps of: acquiring original temperature data of a continuous time sequence of different depths of the shaft through a distributed temperature sensing device, and transmitting the original temperature data to a Modin distributed sensor data processing platform; the platform divides and distributes the data and screens abnormal data; calling a temperature field dynamic evolution prediction algorithm to calculate a predicted temperature value of each depth at each moment; starting a temperature gradient space-time correlation detection algorithm, comparing the predicted temperature with the actual temperature to obtain a deviation sequence, and analyzing and extracting temperature gradient change characteristics; an ultrasonic excitation thermoelastic effect recognition model is applied, ultrasonic excitation is applied, temperature response data are collected, and whether micro leakage exists in the shaft or not and the specific position are determined through comparison and analysis of the incidence relation between the thermoelastic effect and the temperature gradient change. According to the method, an efficient and reliable solution is provided for shaft micro-leakage identification, safe operation of the shaft is guaranteed, and stratum pollution and resource waste are reduced.

Embodiments are directed to electronic fuse devices and systems. One such electronic fuse includes current sensing circuitry that senses a current in a conductor coupled between a power supply and a load, and generates a current sensing signal indicative of the sensed current. I2t circuitry receives the current sensing signal and determines whether the sensed current exceeds an I2t curve of the conductor. The electronic fuse further includes at least one of external MOSFET temperature sensing circuitry that senses a temperature of an external MOSFET coupled to the conductor, low current bypass circuitry that supplies a reduced current to the load in a low power consumption mode during which the external MOSFET is in a non-conductive state, or desaturation sensing circuitry that senses a drain-source voltage of the external MOSFET.

The invention discloses a temperature influence compensation method and system in a passive bolt monitoring system, and belongs to the technical field of structural health monitoring, and the method comprises the steps: obtaining a resonant frequency signal of a passive bolt monitoring sensor and temperature data, collected by a preset distributed temperature sensing network, of a plurality of monitoring points; reconstructing a two-dimensional temperature field cloud picture of the bolt connection area through interpolation calculation; extracting an equivalent comprehensive temperature rise value from the temperature field distribution, and performing preliminary compensation on the resonant frequency signal to generate a preliminary strain value; calculating a virtual thermal strain value generated by temperature influence; and performing decoupling operation on the initial strain value based on the virtual thermal strain value to obtain a compensated real mechanical strain value, and accurately separating the real mechanical strain from the total measurement strain by adopting a method of reconstructing a two-dimensional temperature field of a bolt connection area and calculating a decoupling virtual thermal strain by utilizing a finite element analysis micro-simulation model. Therefore, the accuracy and reliability of bolt pre-tightening force monitoring are improved.