223 results about "Temperature sense" 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 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 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 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 relates to a temperature sensor integrated with a bearing and a preparation method and application thereof, and relates to the technical field of bearing diagnos.The temperature sensor comprises a multi-layer composite film resistance grid structure, and a composite film sequentially comprises a bearing substrate, a transition seed layer, an insulating layer, a sensing layer and a wear-resistant protective layer from inside to outside; by adding the transition seed layer between the bearing substrate and the insulating layer, the binding force between the insulating layer and the bearing substrate is enhanced, the probability of sensor failure caused by large difference of thermal expansion coefficients of the insulating layer and the bearing substrate is reduced, and the use effect of the sensor is improved; in-situ real-time temperature sensing is realized by adopting a scheme of coating a film on a bearing raceway, the scheme starts from the source of a fault, an intelligent diagnosis technology and criterion based on the temperature of a bearing contact area are formed, bearing fault detection methods are enriched, forward guidance is formed for bearing design, and the bearing fault detection efficiency is improved. And a new idea is provided for an aviation high-speed light-load bearing fault diagnosis technology.

The invention relates to the technical field of circulating water anti-freezing, and discloses a power plant circulating water anti-freezing system suitable for a cold region, and the system comprises a temperature sensing module, an anti-freezing heating module, a water flow disturbance module, an ice layer processing module, an intelligent regulation and control center and a fault safety module; when the circulating water system of the power plant operates in a cold region, the internal water temperature and external environment parameters of key nodes of a circulating water pipe network are monitored in real time, and a low-temperature early warning signal is generated based on a temperature field reconstruction algorithm of machine learning, so that abnormal temperature fluctuation can be recognized in time, early warning delay and false alarm caused by wind speed and humidity interference are avoided, and the working efficiency is improved. And in the circulating water anti-freezing process, the output power of the flexible electric heating body is dynamically adjusted through a graded heating mechanism, and the turbulence generator is linked to optimize water flow distribution, adapt to thermal inertia change of a pipeline and prevent the risk of local icing caused by sudden temperature drop.

The invention relates to the technical field of temperature sensing, in particular to a multivariate edge acquisition method. Comprising the following steps: acquiring multivariate data to obtain original data; performing edge feature extraction according to the original data to obtain an extraction result; performing temperature field reconstruction according to an extraction result; performing temperature anomaly judgment according to a reconstruction result of the temperature field reconstruction to obtain a judgment result; and outputting an alarm according to a judgment result. In the prior art, although most thermal imaging systems on the market can provide temperature distribution images, the fusion degree of the temperature distribution images and visible light data is low, and an effective multi-modal data alignment and registration technology is lacked, so that accurate body temperature positioning and individual recognition are difficult to realize in a complex scene. An existing system lacks intelligent data analysis capacity, and rapid positioning and tracking of abnormal body temperature are difficult to achieve. Compared with the prior art, the influence of strong light interference and temperature and humidity fluctuation on the temperature measurement precision is effectively reduced, and multi-target body temperature synchronous detection in a complex scene is achieved.

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 relates to the technical field of industrial furnace control, and discloses a pit furnace multi-zone coupling heating method which comprises the following steps: acquiring a heat propagation characteristic model from a plurality of heating zones to a plurality of temperature sensing points of a pit furnace offline; according to a preset target temperature profile and the heat propagation characteristic model, prospectively planning a reference power output sequence of each heating area; monitoring the temperature data of the plurality of temperature sensing points on line in real time, and constructing an actual temperature field profile; comparing the actual temperature field profile with the target temperature profile at the current moment, and calculating a field form deviation function; and generating a correction vector for correcting the reference power output sequence based on the field form deviation function. By establishing a double-layer control architecture combining feedforward planning and feedback correction, a traditional passive control mode based on error tracking is converted into an active thermal field construction and adjustment mode based on model prediction.

The embodiment of the invention relates to an air conditioner, a parameter control method of the air conditioner and a controller of the air conditioner. The controller of the air conditioner is configured to obtain a first face area temperature corresponding to a target user and obtain a first indoor environment temperature; a temperature sensing result corresponding to the target user is determined through a temperature sensing recognition model according to the first face area temperature and the first indoor environment temperature; determining a target temperature compensation value according to the temperature sensing result corresponding to the at least one user; based on the target temperature compensation value, the current set temperature of the air conditioner is subjected to temperature compensation, and the target temperature is obtained; and according to the target temperature, target operation parameters corresponding to the air conditioner are adjusted. According to the air conditioner, the current set temperature of the air conditioner can be accurately and intelligently compensated, so that the comfort requirement of a user is met.

The embodiment of the invention provides an intelligent temperature control system and method for a linear servo actuator, and the method comprises the steps: obtaining the surface temperature distribution data of a power device through embedding a first temperature sensing array in a circuit board of the linear servo actuator, and capturing the temperature gradient data of a heat dissipation channel through arranging a second temperature sensing array on the inner wall of a housing; inputting the data, the real-time load current and the motion frequency into a heat conduction model to generate a future temperature trend prediction result, selecting an active heat dissipation mode of a corresponding level from a preset heat dissipation strategy library according to the highest temperature point position and the temperature rise rate in the future temperature trend prediction result, sequentially activating a heat dissipation assembly set according to the active heat dissipation mode, and performing heat dissipation according to the active heat dissipation mode. And temperature feedback data are continuously acquired to adjust the heat dissipation intensity, so that intelligent and efficient temperature control of the linear servo actuator is realized, and the stability and reliability of equipment are improved.

The invention relates to the technical field of container houses, and discloses an intelligent environment control system for a container house, a temperature acquisition module deploys temperature sensing nodes in a plurality of temperature control areas divided in the vertical direction of the container house, and obtains the internal air temperature value and the envelope surface temperature value of each temperature control area; the model construction module determines a thermal resistance characteristic coefficient according to the surface temperature value and the internal air temperature value of the enclosure structure, determines a ventilation heat exchange coefficient according to the ventilation flow value and the internal and external temperature difference, and constructs a dynamic thermal resistance model based on the thermal resistance characteristic coefficient and the ventilation heat exchange coefficient; a deviation analysis module performs deviation analysis on the internal air temperature value and a preset target temperature field to obtain a temperature field deviation degree, and calculates a temperature control demand level; the temperature control module generates a cooperative control sequence of variable frequency air conditioner power adjustment and ventilation device opening adjustment according to the temperature control requirement level and a preset energy consumption constraint condition, and the uniformity, comfort and energy efficiency of temperature control of the container house are improved.

In various embodiments, an electronic device encompasses a housing, a first temperature sensor, a second temperature sensor, a heating element, and processing circuitry. This processing circuitry is configured to execute a method for the measurement of a temperature external to the electronic device. The temperature is derived through the calculation of heat flux between the first and second temperature sensors.

The invention belongs to the technical field of flexible sensors, and particularly provides a flexible electronic sensor for airflow-temperature field cooperative detection and a detection method thereof, which are used for realizing airflow-temperature field cooperative detection and have the advantages of high sensitivity, high precision and high stability. According to the flexible electronic sensor, the temperature sensing unit of the bionic columnar structure is matched with the flexible electronic skin, interference of external factors such as pressure and deformation can be effectively resisted, and the flexible electronic sensor can be applied to any curved-surface or polygonal-structure device; meanwhile, the temperature sensing unit adopts a columnar structure, so that the temperature sensing unit can sensitively capture small changes of a temperature field, and the detection sensitivity and precision are greatly improved. Meanwhile, the invention provides a gas flow-temperature field cooperative detection method based on the flexible electronic sensor, the interaction between the gas flow and the temperature field is comprehensively considered, and more comprehensive and accurate information is provided for gas detection.

The application discloses a kind of air conditioner temperature sensing bag fault diagnosis method, device, air conditioner and storage medium, and the application relates to air conditioner fault diagnosis technical field, it includes according to historical operation data, sub-model library is established in working condition mapping, wherein, mapping sub-model library includes multiple mapping sub-models, each mapping sub-model is used to describe the mapping relationship between the temperature of line controller and the reference temperature of temperature sensing bag;In each sampling period, the measured temperature of temperature sensing bag and the temperature of line controller are acquired, and the corresponding mapping sub-model is matched according to current operating condition parameters;Reference temperature is calculated according to the temperature of line controller and the matched mapping sub-model;According to reference temperature and measured temperature, instantaneous temperature deviation is calculated and time sequence characteristic quantity is calculated in sliding time window;Fault diagnosis is carried out on temperature sensing bag based on instantaneous temperature deviation and time sequence characteristic quantity, to determine the fault type of temperature sensing bag.The application can carry out fault diagnosis on temperature sensing bag, and identify fault type.

The application provides an intelligent explosion-proof motor system based on multi-modal temperature sensing and double-loop heat dissipation, and belongs to the field of explosion-proof motors.The system comprises a temperature sensing module, a temperature prediction module, an event classification module, a double-loop heat dissipation control module and a safety protection module.The temperature sensing module is used for acquiring multi-modal sensing data of each monitoring point in real time and processing the data to obtain the fusion temperature of each monitoring point.The temperature prediction module is used for predicting the temperature trend according to the fusion temperature.The event classification module is used for classifying the event level according to the fusion temperature and the predicted temperature, and determining the temperature control event level.The double-loop heat dissipation control module is used for intelligently switching the working state of the heat dissipation loop according to the temperature control event level.The safety protection module is used for continuously monitoring the effect of the double-loop heat dissipation control module, and stopping the explosion-proof motor and starting the emergency heat dissipation protection when the safety protection condition is triggered.The application realizes the reasonable configuration of the overall heat dissipation resources of the explosion-proof motor, improves the heat dissipation effect, and reduces the energy consumption of the explosion-proof motor.

The invention discloses an energy-saving controller for temperature feedback intelligent intermittent demisting control, and belongs to the technical field of electric appliance engineering and intelligent control. The controller comprises a high-precision temperature sensing module, an intelligent control module, a heating wire driving module and an abnormal protection and alarm module. The intelligent control module dynamically controls the heating wire driving module to conduct on-off operation on the demisting heating wire according to temperature data, collected by the temperature sensing module in real time, of key parts of the refrigeration device through a preset temperature threshold interval and intermittent work cycle logic. The problems that in the prior art, due to the fact that a demisting heating wire is normally turned on, energy consumption is high, devices are prone to aging, and due to the fact that the demisting heating wire and a compressor are started and stopped at the same time, the demisting effect is poor in the high-humidity environment are solved, and efficient, energy-saving, safe and high-adaptability intelligent demisting control is achieved.

The invention discloses a fault diagnosis analysis method and system for a chromatographic instrument, and relates to the technical field of chromatographic instrument fault diagnos.The fault diagnosis analysis method comprises the following steps that a gas thermal field dynamic mapping model is established based on real-time temperature distribution information in a chromatographic instrument detection pool; a temperature gradient distribution diagram in the detection pool is generated through continuous collection of the distributed multi-point temperature sensing unit; on the basis of a temperature gradient distribution diagram output by the gas thermal field dynamic mapping model, controllable micro-amplitude pulsating gas flow is applied to a gas inlet path of the detection pool, and a diffusible gas disturbance area is formed in the detection pool by adjusting the pulsating frequency and amplitude disturbance gas flow state. Through thermal field mapping and gas disturbance regulation and control, temperature and flow field balance of the detection cell is realized, thermal stratification and retention effects are eliminated, and a detection response linear relation is recovered; and the time reference is dynamically corrected through a signal drift self-suppression mechanism, and the complete output of the low-concentration signal is ensured, so that the sensitivity, the stability and the quantitative precision of the chromatograph are improved.

According to an aerosol-generating device according to an embodiment, in a case where a flange temperature sensed by a flange temperature sensor is included in a preset reference temperature range, a switching frequency of a power conversion unit is swept in a reference frequency range and at least one DC current value is acquired from a current sensing sensor; and generates temperature data for estimating the temperature of the susceptor on the basis of the DC current value.

The invention relates to the technical field of temperature measurement, and discloses a special-shaped clinging type temperature sensing system for pipeline leakage heat release monitoring, which comprises a first temperature field acquisition module, a flexible heat isolation module, a second temperature field acquisition module and a heat flow analysis module, and is characterized in that the system establishes a heat transfer barrier on the wall surface of a to-be-measured special-shaped pipe fitting by using the flexible heat isolation module; temperature difference data is obtained through the first temperature field acquisition module and the second temperature field acquisition module, the temperature difference is corrected by the heat flow analysis module according to wall thickness evolution parameters and curvature distribution data, a normal heat flux field is generated through mapping, and a vector polar inversion component is extracted. Heat transfer nonlinear interference generated by a special-shaped structure is eliminated, and the reliability of capturing weak heat release characteristics of the system under complex working conditions is enhanced.

The application discloses a temperature sensing and radio frequency identification circuit integrated temperature measurement method and system, which is applied to the technical field of temperature sensor data processing, and is used for obtaining the response time of each temperature sensing node when collecting temperature according to a corresponding first preset sampling frequency, and the signal transmission delay time of a corresponding radio frequency identification chip, then correcting the response time by using a compensation matrix constructed according to the signal transmission delay time sequence, obtaining an adjusted response time sequence, and then respectively determining a sampling configuration scheme and a reference task bearing capacity corresponding to the temperature sensing node according to the adjusted response time sequence and equipment parameters, collecting temperature, and performing interpolation reconstruction and optimization on the collected temperature value to obtain optimized temperature data. The above method adjusts the response speed of the distributed temperature sensing system, and then adjusts the sampling strategy in combination with the dynamic change of the temperature field distribution characteristics, so that the temperature monitoring precision is improved.

The utility model discloses a temperature measuring sleeve, including the base of fixed installation in the heating pipeline and the sleeve of insertable in the base, one end of sleeve is fixedly sleeved with the screw thread, and the screw thread is connected with the base threadedly, and the top of sleeve is fixedly provided with the nut, and the nut is provided with two through -holes of symmetrical arrangement, and two through -holes are inserted respectively with temperature transmitter and thermocouple. The temperature measuring element of temperature transmitter and thermocouple are inserted respectively to the inside of sleeve through the through -hole, so as to carry out temperature measurement to the hot water in the heating pipeline in real time, and after the resistance value is obtained through measurement, the specific temperature value is obtained by means of high accuracy calibration instrument, and the both are compared and analyzed, so as to accurately investigate error, ensure the accuracy of the temperature measurement of the water temperature in the pipeline, so as to avoid the deviation of the hot water temperature data in the pipe that temperature transmitter real -time acquisition produces the adverse effect to the heating effect.

The application discloses a temperature sensing resistance test system and a test method. The test system comprises a workbench and a control unit. A plurality of sockets and two test cavities are arranged on the workbench. The sockets are consistent in number with the plugs and one-to-one corresponding. The sockets are used for inserting and connecting the corresponding plugs. The control unit is electrically connected with all the sockets. The test cavities are respectively provided with through holes. The cold temperature sensing head and the high-temperature temperature sensing head can be respectively inserted into the two test cavities through the through holes. The application provides suitable working conditions for the cold temperature sensing head and the high-temperature temperature sensing head through the test cavities, so that the cold temperature sensing head, the high-temperature temperature sensing head and the normal-temperature temperature sensing head of the temperature sensing assembly can realize resistance detection under respective corresponding working conditions.

This application discloses a cutting temperature monitoring device and method, relating to the field of online monitoring technology for CNC machining. The device includes a temperature sensing module, a signal processing and data communication module, and a host computer monitoring module. Both the temperature sensing module and the signal processing and data communication module are fixed to a basic tool holder. The temperature sensing module collects the hot-end temperature signal of the cutting area at the tool tip. The signal processing and data communication module conditions and converts the hot-end temperature signal from analog to digital to obtain hot-end temperature data. Based on the cold-end ambient temperature data, it performs temperature compensation processing on the hot-end temperature data to calculate the actual cutting temperature after temperature compensation. The host computer monitoring module provides real-time visualization of the actual cutting temperature after temperature compensation. This application can achieve accurate, real-time, and stable monitoring of the temperature in the tool cutting area.

A temperature sensing system includes absolute temperature sensor(s) and / or thermopiles that form concentric geometries and are uniform in height. In some examples, the temperature sensing system can determine internal body temperature and / or ambient temperature based at least on a thermal gradient associated with the inner thermopile, a thermal gradient associated with the outer thermopile, a lateral temperature difference between the inner and the outer thermopiles, and an absolute temperature. In some examples, the temperature sensing system can determine the internal body temperature and / or ambient temperature using at least four absolute temperature sensors forming a concentric structure.

The invention belongs to the technical field of temperature control, and particularly discloses an intelligent temperature control system and method for an optical communication prototype facing an extreme environment, and the system comprises a micro-control module, a temperature sensing module and a control output module which are in communication connection. The temperature sensing module is used for monitoring a prototype cavity temperature signal, an in-cavity environment temperature signal and a device surface temperature signal of the optical communication prototype in an extreme environment in real time; the extreme environment comprises a high and cold environment, a high-temperature and high-humidity environment and a deep-sea high-pressure environment; the micro-control module is used for receiving the temperature signals of the temperature sensing module, performing data signal preprocessing on the temperature signals and generating a temperature control instruction according to a preset temperature control strategy; and the control output module is used for receiving the temperature control instruction to execute heating and cooling functions so as to realize temperature regulation and control of the optical communication prototype. According to the invention, normal work of the optical communication prototype in an extremely severe environment can be realized.

This invention designs a hot water level detection device for heating systems, belonging to the field of water level detection technology. The device includes a water level sensing unit, a temperature sensing array, a vibration sensing unit, and a data processing module. The water level sensing unit is installed on the top of the water storage device, emitting and receiving ultrasonic waves and measuring the round-trip time. The temperature sensing array includes two temperature sensors respectively installed at the top and bottom of the water storage device to acquire information on the vertical temperature distribution of the hot water. The vibration sensing unit is installed on the wall of the water storage device or on the heating pipe to collect vibration signals. The data processing module includes a temperature judgment unit, a sound velocity correction unit, a feature extraction unit, and a water level correction unit. This invention eliminates the influence of temperature stratification on sound velocity calculation through temperature gradient adaptive correction, and suppresses the interference of dynamic disturbances on water level measurement through vibration feature extraction and adaptive filtering, achieving accurate and stable hot water level monitoring under the complex operating conditions of heating systems.