1721 results about "Temperature sensing" patented technology

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 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 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 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 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 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 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.

The invention, which relates to the technical field of power transmission, discloses a high-power intelligent temperature control cable comprising a conductor, a first insulating layer, a temperature control system, an early warning system and a protective sleeve. The conductor is made of a high-conductivity material, and the conductor is coated with a first insulating layer; the temperature control system comprises a liquid cooling pipe and a plurality of temperature sensors, and cooling liquid is suitable for flowing in the liquid cooling pipe; the early warning system comprises a temperature sensing optical fiber which is distributed along the axial direction of the conductor, and the temperature sensing optical fiber is connected with a fault early warning module; the protection sleeve wraps the conductor, the temperature control system and the temperature sensing optical fiber and comprises an electromagnetic shielding layer, a mechanical protection layer and a safety protection layer. The temperature sensor and the fault early warning module are used for connecting the control unit. The operating temperature of the cable is adjusted in real time through the temperature control system, and thermal fatigue of the conductor is effectively inhibited; high-strength electromagnetic shielding, mechanical tensile strength and bending resistance are provided through the protective sleeve; and the temperature and strain states of the cable are monitored in real time through the early warning system, so that the operation safety is improved.

The invention provides a device and method for measuring the flow velocity and flow of gas in a pipeline, and particularly relates to the technical field of measuring instruments, and the device comprises a flow field optimization assembly, a flow velocity sensing assembly and a signal processing assembly. The flow field optimization assembly comprises a plurality of air duct partition plates and straight pipe sections, and the gas conveying pipeline is divided into a plurality of independent divided air ducts; the flow velocity sensing assembly comprises a rectification assembly and a pressure sensing assembly, the rectification assembly comprises a pore plate and / or a grid, and the pressure sensing assembly comprises a plurality of uniformly distributed pressure sensing elements; the signal processing assembly comprises a differential pressure sensing transmitter, a static pressure sensing transmitter, a temperature sensing transmitter, an atmospheric pressure sensing transmitter and a data processing module. The pressure sensing element detects differential pressure signals, the differential pressure sensing transmitter converts the signals, the data processing module calculates the average flow velocity and flow of gas based on the signals and measurement data, and the measurement precision and accuracy are improved.

The invention relates to the technical field of flow measurement, in particular to a gas flow self-adaptive compensation method for an MEMS (micro-electromechanical system) thermal sensor, which utilizes a sensor comprising a micro heater, a temperature sensing element, an auxiliary thermal sensing unit and a micro-disturbance temperature sensing unit to perform multi-dimensional compensation. The method comprises the following steps: applying a multi-frequency thermal excitation signal to a micro heater, performing frequency domain analysis, and extracting a gas feature signature to determine a normalized conversion factor for compensating gas component change; meanwhile, an auxiliary thermal sensing unit is used for monitoring long-term drifting of the sensor under the condition that measurement is not interrupted, and online self-correction is carried out on a main response curve; in addition, a dynamic turbulence index is generated through a micro-disturbance temperature sensing unit, and a compensation model is selected or fused according to the dynamic turbulence index to adapt to a non-ideal flow field. Finally, according to the method, an accurate gas flow value is output by integrating compensation information in the three aspects, and the problems of poor adaptability and low reliability in the prior art are solved.

The invention provides an integrated hospital intelligent monitoring system for cold-chain medicine temperature early warning, and relates to the technical field of medical monitoring. The integrated hospital intelligent monitoring system for cold-chain medicine temperature early warning comprises a sensing layer module which is deployed in a dual-mode temperature sensing unit in cold-chain equipment and comprises a main sensor and an auxiliary sensor, the main sensor is arranged in a central area in the cold-chain equipment, and the transmission layer module is arranged in a central area in the cold-chain equipment. The transmission layer module comprises a hybrid networking unit, the hybrid networking unit integrates a 433MHz wireless ad hoc network subunit and an NB-IoT / 4G remote transmission subunit, the platform layer module comprises a data processing unit and an intelligent early warning decision unit, and the execution layer module. When the box door is opened, the system can accurately identify non-fault temperature fluctuation by analyzing the temperature difference of the double sensors, the false alarm rate is reduced to 5.2% from the average industrial 38.7%, and the interference of invalid alarm to medical staff is greatly reduced.

The invention relates to the technical field of charging safety control, in particular to an efficient heat dissipation equalization system applied to a charging head in a new energy automobile, which comprises a data acquisition module, a thermal imaging spectrum generation module, a strategy generation module and an equalization heat dissipation module. The data acquisition module acquires temperature distribution data of a three-dimensional space in the charging head in real time through a multi-dimensional temperature sensing array; the thermal imaging spectrum generation module adopts a Kriging space interpolation algorithm to construct a real-time three-dimensional temperature field and generate a thermal imaging spectrum; the strategy generation module identifies a temperature abnormal area and calculates a differential heat dissipation strategy based on a dynamic safety threshold and a temperature gradient; and the balanced heat dissipation module drives the partition controllable heat dissipation execution mechanism to operate according to a strategy, and the feedback information is used for dynamic adjustment. According to the invention, precise heat dissipation of local hot spots and dynamic optimization of heat dissipation efficiency are realized.

The invention provides a coal spontaneous combustion grading early warning determination method based on characteristic gas and structure content, which comprises the following steps of: selecting temperature, symbolic gas and content of coal functional groups as indexes of coal spontaneous combustion grading early warning; the coal spontaneous combustion slow oxidation process is divided into six stages, namely a coal spontaneous combustion oxidation stage, a coal spontaneous combustion self-heating stage, a coal spontaneous combustion critical stage, a coal spontaneous combustion pyrolysis stage, a coal spontaneous combustion fission stage and a coal spontaneous combustion combustion stage, and the six stages correspond to gray early warning, blue early warning, yellow early warning, orange early warning, red early warning and black early warning in sequence. The concentration of O2, CO2, CO, C2H4 and C2H2 is collected through a gas sensor, the temperature of a goaf is collected through a temperature sensing probe, the type and metamorphism degree of coal are recognized through an intelligent camera, and data are transmitted to a ground monitoring computer in real time to be analyzed, judged and processed. The method is more refined and accurate, the timeliness, accuracy and reliability of coal spontaneous combustion danger early warning can be effectively improved, the using effect is good, and application and popularization are convenient.

The invention discloses a temperature sensor, a temperature acquisition device and electronic equipment, in the temperature sensor, a temperature sensing current generation module responds to target temperature change, and provides a first current signal with a positive temperature coefficient for a current conversion module; the current conversion module converts the first current signal into a first voltage signal with a negative temperature coefficient and generates and outputs a second voltage signal to the voltage regulation module according to the first voltage signal, and the voltage value of the second voltage signal is an integral multiple of the voltage value of the first voltage signal; the voltage regulation module receives the second voltage signal and outputs a third voltage signal to the analog-to-digital converter, and the voltage value of the third voltage signal is smaller than that of the second voltage signal; the analog-to-digital converter receives the third voltage signal and outputs a target digital signal, and the target digital signal is used for representing the temperature measured by the temperature sensing front-end circuit. According to the arrangement, the accuracy of temperature detection can be improved, and the temperature sensor is high in accuracy, small in size and low in power consumption.

The invention discloses a high-temperature stable gas heat conduction temperature control method and system, and relates to the technical field of temperature control. The system comprises a high-temperature inert gas loop, a gas circulation driving module, a gas heating module, a gas heat exchange module, a gas cooling module, a gas purification and supplement module and a precise temperature sensing and control module. The high-temperature inert gas loop is configured as a closed circulation path and is used for bearing high-purity inert gas as a heat carrier; and the gas circulation driving module is arranged in the high-temperature inert gas loop and is used for driving the high-purity inert gas to continuously and circularly flow in the closed circulation path. By adopting high-purity inert gas as a heat-conducting medium and combining precise circulation driving, multi-stage heating, efficient heat exchange, active cooling, online purification and intelligent control technologies, the problems that an existing liquid heat-conducting medium is unstable in phase change at a high temperature, a metal eutectic medium is poor in safety, and a composite system is high in complexity are solved.

The invention discloses a transformer winding temperature and strain double-parameter monitoring method, system and device and a medium, and relates to the technical field of transformer monitoring, and the method comprises the steps: arranging a temperature sensing unit and a strain sensing unit on an optical fiber; a first reflection spectrum signal and a second reflection spectrum signal of the transformer winding are obtained and demodulated, and a first temperature signal of the transformer winding and a mixed signal containing a second strain signal and a second temperature signal are obtained; and taking the first temperature signal as compensation, and decoupling the mixed signal to obtain a second strain signal of the transformer winding. The fiber bragg grating technology is adopted, a plurality of sensors are inscribed on one optical fiber, synchronous measurement of temperature and strain is achieved, and strain data are compensated through winding temperature changes. According to the invention, the defects that only a single physical quantity can be monitored and the strain measurement accuracy is influenced by the temperature in the prior art are overcome, and accurate, convenient and efficient monitoring of the temperature strain of the transformer winding is realized in combination with online monitoring software.

The invention discloses a self-sensing temperature monitoring cable, method and system for a smart power grid, and the cable comprises a central bearing core and a conductive unit which is twisted on the central bearing core in a surrounding manner. A spiral distributed sensing unit is embedded in a gap of the conductive unit; the distributed sensing unit is formed by compounding a plurality of modified optical fibers and an insulating material; according to the invention, through the curvature conformal design of the gap matching type fan-shaped distributed sensing units and the conductive units, the millimeter-level temperature sensing precision is realized, the problem that the diameter of a cable is increased due to a traditional external sensor is eliminated, and the sensor is compatible with a standard laying pipeline; by utilizing the characteristic that the insulating layer is made of a cross-linked polyethylene base material doped with nano aluminum oxide and the directional heat-conducting micro-channel, the temperature rise rate of a local overheat area is reduced, and the insulation aging is obviously delayed; the physical coordinate reference is established by using the sheath positioning protrusions, the problem of position calibration in distributed temperature measurement is solved, the positioning error is small, and the traceability efficiency of cable fault points is greatly improved.

A leadless high-sensitivity all-quartz differential resonant pressure sensor chip comprises a quartz protection layer, the quartz protection layer is in bonding connection with a first quartz resonance layer, and the first quartz resonance layer, a quartz differential layer, a second quartz resonance layer and a quartz intermediate layer are in sealed connection through a glass frit bonding technology. The quartz middle layer and the quartz temperature sensing layer are in butt joint through a bonding technology, and the quartz temperature sensing layer and the quartz base are fixed through a glass frit bonding technology. After the conductive silver paste is subjected to high-temperature curing treatment, electrode signal conduction between the gold-plated lead columns and the first quartz resonance layer, the second quartz resonance layer and the quartz temperature sensing layer is realized; the differential output effect is remarkably improved, and conjugate interference is effectively restrained; the long-term stability of the vacuum sealing device is improved; the sensor sensitivity is improved; the reliability and the stability of electrical connection are improved; the problem of temperature measurement lag of an external temperature sensor is eliminated, and the precision of the sensor is further improved.

The invention discloses a multi-core processor dynamic regulation and control method and system based on load and temperature sensing, and relates to the technical field of temperature control scheduling management, and the method comprises the steps: collecting and preprocessing load and temperature data in real time, and building a thermal sensing model to predict the temperature change; constructing a self-adaptive heuristic scheduling algorithm, and adjusting task distribution according to real-time data of the core load and the temperature; according to the load and temperature states, a dynamic voltage frequency adjustment strategy is adopted, and the frequency and the voltage are automatically adjusted when the load and the temperature are too high; and when the load and the temperature exceed set threshold values, a scheduling algorithm is optimized by adopting a self-learning mechanism, and a scheduling strategy and a temperature control scheme are automatically adjusted. According to the method, a more flexible and accurate dynamic regulation and control scheme is provided, the stability and high efficiency of the processor in a high-load and high-temperature environment can be ensured, performance reduction and hardware damage are avoided, and the obvious effects of saving energy and improving system stability are achieved.

The invention provides a mixed flow velocity and flow measuring device and method, and particularly relates to the technical field of measuring instruments, and the device comprises a gas mixing assembly, a flow field optimization assembly, a flow velocity sensing assembly and a signal processing assembly. The gas mixing assembly comprises a differential channel mixer and a mixing cavity, and gas premixing is achieved. The flow field optimization assembly comprises a plurality of air duct partition plates and straight pipe sections, and the mixed gas conveying pipeline is divided into a plurality of independent divided air ducts; the flow velocity sensing assembly comprises a rectification assembly and a pressure sensing assembly, the rectification assembly comprises a pore plate and / or a grid, and the pressure sensing assembly comprises a plurality of uniformly distributed pressure sensing elements; the signal processing assembly comprises a differential pressure sensing transmitter, a static pressure sensing transmitter, a temperature sensing transmitter, an atmospheric pressure sensing transmitter and a data processing module. The pressure sensing element detects differential pressure signals, the differential pressure sensing transmitter converts the signals, the data processing module calculates the average flow velocity and flow of the mixed gas based on the signals and measurement data, and the measurement precision and accuracy are improved.

The invention discloses a data center cable with intelligent thermal management and extreme survivability and a system thereof. The cable comprises a conductor and a gradient heat conduction composite insulation layer wrapping the conductor, wherein the gradient heat conduction composite insulation layer is composed of a high heat conduction inner layer and a ceramic fire-resistant outer layer; the distributed temperature sensing optical fiber is arranged along the axial direction; the cable core is coated with the flexible metal microfilament braided armor layer; and the integrated intelligent interface module is arranged at the end part, and an RFID chip is arranged in the integrated intelligent interface module. The invention further discloses an intelligent thermal management and safety monitoring method based on the cable, the whole-line temperature is monitored in real time through the distributed optical fibers, and graded early warning and accurate positioning are achieved; when a fire occurs, the system is switched to a survival mode, and the real-time integrity of the cable in a fire scene is remotely diagnosed by using an optical fiber signal; active heat dissipation is achieved through cooperation of gradient heat conduction and metal armoring, and a full-life-cycle safety monitoring system from daily heat management to extreme fire survival is constructed through sensing and communication fusion.

The application relates to the physiological parameter monitoring technical field of intelligent wearable devices, in particular to an intelligent ring health monitoring method based on multi-sensor cooperation and related equipment. The method comprises the following steps: acquiring motion, optical and temperature sensing data, combining multi-dimensional rules and a user preset log to determine a scene, performing differentiated data acquisition, and generating a scene-matched health evaluation result after signal noise reduction, feature extraction and fusion analysis. The application can balance monitoring accuracy, low energy consumption and personalization, and improve the effectiveness of health monitoring.

The utility model relates to a heat dissipation device, in particular to a double-layer heat dissipation device for an electronic device, which comprises a fixed frame. The mounting frame is fixedly mounted on the fixed frame; a plurality of groups of air inlets are formed in the fixed frame; a plurality of groups of exhaust ports communicated with the air inlet are formed in the mounting frame; a heat conducting plate is fixedly mounted on the fixed frame; a heat dissipation structure is arranged on the mounting frame; the heat dissipation mechanism comprises a plurality of groups of fan blades; a corner structure is arranged on the mounting frame; the corner structure can drive the fan blades to deflect when the heat dissipation structure acts. The fixed frame is provided with a movable contact; a static contact is arranged on the mounting frame; a temperature sensing structure is arranged on the heat conducting plate and can drive the movable contact to be close to or far away from the static contact so as to change the action state of the heat dissipation structure; the temperature sensing structure can monitor the temperature change on the heat conducting plate in real time without delay, and the anti-interference capability is high.

The invention relates to the technical field of lithium battery pole piece rolling, and provides a heat-based roller type regulation and control method and system for a lithium battery pole piece roller press. The method comprises the following steps: S1, establishing a roller finite element mechanism model; s2, performing simulation by using a roller finite element mechanism model; s3, performing thermocouple distribution preliminary screening based on the temperature comprehensive contribution degree; s4, redundant preliminary screening thermocouple distribution points are eliminated based on data clustering analysis; s5, determining an optimal thermocouple distribution point combination; s6, constructing a dynamic thermal field matrix; s7, constructing a data driving model; s8, obtaining a joint prediction thermal convexity through joint prediction; and S9, the power of the electromagnetic coil and the edge water cooling flow are adjusted. The system comprises a roller heating device, an edge water cooling device, a temperature sensing network, a control platform, a regulation and control execution unit and a lithium battery pole piece roller press. Through accurate prediction of the thermal crown of the roller, real-time dynamic compensation of the roller shape is realized, and the thickness stability of the pole piece is improved.

The invention relates to the technical field of numerical control machine tools, and discloses a thermal error dynamic modeling and compensation method for a numerical control machine tool. The method comprises the following steps: continuously collecting heat state original data through a temperature sensing device arranged at a key part of a numerical control machine tool; real-time preprocessing is carried out on the thermal state original data to eliminate noise and abnormal values, and a standardized thermal data sequence is generated; key thermal characteristic parameters are extracted from the standardized thermal data sequence, and the key thermal characteristic parameters are input into a self-adaptive thermal error prediction module to output a current thermal error prediction value; comparing the current thermal error predicted value with a preset thermal error threshold value to generate a thermal error state indication signal; starting a compensation strategy selection mechanism when the thermal error state indication signal indicates abnormity; the compensation strategy selection mechanism retrieves a compensation scheme library according to the thermal error state indication signal to determine an adaptive compensation instruction; and executing the adaptive compensation instruction to drive the numerical control machine tool to adjust processing parameters for thermal error correction.

The invention discloses a multi-machine collaborative welding autonomous decision-making and virtual-real closed-loop control system based on an LLM scheduling center. The multi-machine collaborative welding autonomous decision-making and virtual-real closed-loop control system comprises a welding seam real-time sensing module, an intelligent task decomposition and scheduling planning module, a multi-round iteration autonomous decision-making module and an execution and real-time closed-loop control module. Through YOLOv5s, in combination with a coordinate attention mechanism and RGB-D visual perception, welding seam classification and three-dimensional track extraction are achieved; fusing an infrared thermal image and temperature sensing to realize molten pool state identification and temperature field prediction, and generating a Ccontinuous fitting track and a heat balance parameter; task decomposition and collaborative planning are completed based on a knowledge graph and LLM reasoning, and a dynamic optimal scheme is formed through MATLAB optimization and VR simulation multi-round verification; and finally, synchronous welding of multiple mechanical arms is achieved through VR interpolation and TCP / Modbus layered control. A sensing-planning-execution-feedback full-closed-loop heat management framework is constructed, heat input balance and deformation suppression are achieved, and the precision, stability and intelligent level of multi-machine collaborative welding are remarkably improved.

A method of improving heat recovery from a geothermal well includes receiving temperature distribution data from a distributed temperature sensing (DTS) system comprising a fiber optic cable disposed in a wellbore, which extends through a formation; analyzing the temperature distribution data to determine a fluid flow profile along the wellbore; determining, based on the fluid flow profile, a location of dominant flow rate; and injecting a sealing agent into the formation at the location. When the sealing agent cures, fractures within a fracture system are sealed in the formation at the location. The cured sealing agent prevents or mitigates fluid flow through the formation at the location.