319 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 relates to a mass concrete raft foundation three-dimensional temperature field reconstruction method, and relates to the technical field of concrete raft foundation structure three-dimensional temperature field reconstruction. The method comprises the following steps: arranging temperature sensing optical fibers in a plurality of temperature measurement areas of a concrete raft foundation to be measured; constructing an optical fiber temperature measurement monitoring system, and obtaining space-time temperature data; a temperature field prediction model is constructed, the temperature field prediction model is based on a physical information neural network, and a data loss function, a physical loss function and an initial condition loss function are fused; performing multi-objective loss function joint optimization training on the temperature field prediction model based on the space-time temperature data; utilizing the trained temperature field prediction model to predict the temperature value of the concrete raft foundation to be measured at any time and space point coordinates; and reconstructing a three-dimensional temperature field based on a prediction result output by the temperature field prediction model. By adopting the method, high-precision reconstruction of the three-dimensional temperature field of the mass concrete raft foundation can be realized.

The invention discloses a temperature effect monitoring method and system for a metal roof, particularly relates to the technical field of building structure health monitoring, and is used for solving the problems of decoupling of temperature monitoring data and structural mechanical response, failure of a static early warning threshold and the like in the prior art. Acquiring three-dimensional temperature field data through a distributed temperature sensing network, and extracting a temperature gradient characteristic value from the three-dimensional temperature field data; a piezoelectric film sensor is used for collecting constraint point micro-vibration signals, and dynamic constraint reaction force spectrum characteristic values are extracted through signal transformation and manifold learning; establishing a temperature gradient and mechanical characteristic coupling model to generate a temperature stress evaluation value; dynamically adjusting an early warning threshold range according to the environmental parameters; when the evaluation value exceeds a threshold value, a structure safety early warning signal is output; multi-physical field coupling analysis of temperature field distribution and structural response is achieved, an environment-adaptive dynamic early warning mechanism is constructed, and the accuracy and reliability of metal roof temperature effect monitoring are remarkably improved.

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 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.

An apparatus for an aerosol generating device may include a heating circuit to heat a heating arrangement. The heating arrangement is arranged to heat an aerosol generating material to thereby generate an aerosol. The apparatus may include a temperature sensing arrangement to sense a temperature of the device. The apparatus may include a controller to control a supply of energy to the heating circuit. The controller may determine a characteristic that is indicative that energy is being supplied to the heating circuit over a given time period, and a change in temperature sensed by the temperature sensing arrangement. The controller may take a control action if, based on the determined characteristic and the increase in temperature sensed by the temperature sensing arrangement. The controller may determine that one or more predetermined criteria that are indicative of a fault with the temperature sensing arrangement are satisfied.

A water heater is provided that heats water in a storage tank and discharges the heated water. The water heater includes a storage tank configured to store water, at least one first temperature sensor configured to sense a temperature of the water stored in the storage tank, a second temperature sensor configured to sense a temperature related to an outside of the water heater, a first heat exchanger comprising at least one heating element configured to heat the water, a second heat exchanger comprising a heat pump system and configured to heat the water, and a controller configured to control at least one of the first heat exchanger and the second heat exchanger based on a temperature sensed by the second temperature sensor and a set water temperature.

Disclosed herein are systems, methods, and apparatuses for obtaining temperature data from a temperature sensing medical instrument. The targeted temperature management (TTM) system includes a TTM module configured to provide a TTM fluid, a thermal pad configured to receive the TTM fluid from the TTM module to facilitate thermal energy transfer between the TTM fluid and a patient, a fluid delivery line (FDL) extending between the TTM module and the thermal pad, the FDL configured to provide TTM fluid flow between the TTM module and the thermal pad, and a temperature sensing medical instrument configured to be inserted into the patient and obtain temperature data indicating a temperature of blood of the patient, wherein the temperature sensing medical instrument is further configured to communicatively couple to the TTM module and provide the TTM module with temperature feedback including the temperature of the blood of the patient.

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 utility model discloses a heat storage device and a heating and ventilation system, and relates to the technical field of heat exchange equipment, the heat storage device comprises a shell and at least one temperature sensing assembly, a heat exchange module and a phase change material are arranged in the shell, the heat exchange module is embedded in the phase change material, and the heat exchange module is in heat conduction connection with the phase change material; the temperature sensing assembly is inserted into the phase change material by a preset depth so as to detect the temperature of the phase change material at the preset depth. A containing cavity is formed by arranging a shell, a heat exchange module and a phase change material are both arranged in the containing cavity formed by the shell, the heat exchange module is embedded in the phase change material, the heat exchange module can exchange heat with the phase change material, and a temperature sensing assembly can be inserted into the phase change material by a preset depth so as to detect the temperature of the phase change material at the preset depth. By inserting the temperature sensing assembly into the phase-change material by the preset depth, the temperature change of the phase-change material in the designated area in the heat storage device can be accurately monitored.

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.

An indoor simulation device and method for a wheel rolling on an icy and snow-covered road surface. The temperature, humidity, and the surface temperature of the test piece in the experimental chamber are respectively collected by a temperature sensor, a humidity sensor, and an infrared temperature sensing device. Then, the start and stop of the snow-making system are controlled through a control box, so as to adjust the experimental environment to meet the conditions of simulating harsh winter driving conditions such as snowfall and freezing rain. Finally, the start and stop of the wheel rolling device are carried out. The snow-making system of this device has the advantages of good refrigeration effect, fast cooling speed, and can reach -196°C. At the same time, this device can simulate the process of a wheel rolling on the road surface during actual driving, and is used to evaluate various fast, effective, and environmentally friendly snow removal methods and the anti-slip performance of the road surface after the wheel rolls on the road surface indoors.

A temperature-adaptive gate driver for a GaN switch includes a gate-to-source voltage adjustment unit and a driver for outputting an on-state gate-to-source voltage to a gate terminal of the switch. The on-state gate-to-source voltage is adjusted based, in part, on temperature of the switch. The amount of adjustment of the on-state gate-to-source voltage with rise in temperature is based, in part, on high-temperature gate-bias reliability data of the switch and is chosen for a favorable trade-off between performance and life-time. The gate-to-source voltage adjustment unit includes a temperature sense element for sensing temperature of the switch and outputs to the driver an output signal based, in part, on temperature. The gate-to-source voltage adjustment unit includes a regulator for receiving a feedback signal based in part, on resistance of the temperature sense element, and for causing a value of the output signal to be responsive to a value of the feedback signal.

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 particularly relates to a PCS real-time online monitoring system based on an intelligent gateway. The PCS real-time online monitoring system comprises the following parts: a multi-source information collection module for collecting temperature information data, cooling fan information data and ventilation information data in equipment; the information analysis module is used for analyzing the temperature information data to obtain a temperature evaluation coefficient; analyzing the information data of the cooling fan to obtain a fan aging coefficient; analyzing the ventilation information data to obtain a blockage coefficient; and a comprehensive diagnosis module. According to the invention, through the distributed temperature sensing network, fan state monitoring and airflow channel analysis, collaborative evaluation of the thermal state, the mechanical performance and the ventilation efficiency of the equipment is realized; the limitation of the traditional single-point threshold alarm is broken through by combining the different-temperature proportion, the duration and the temperature difference fluctuation; rotation speed deviation and noise characteristics are fused, and the heat dissipation failure caused by air duct blockage is effectively avoided through combination of cone model quantitative aging degree pressure difference analysis and image recognition.

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 present invention relates to a fault diagnosis method for a belt conveyor based on sound signals in the field of conveyors. Through the setting of two groups of vibration measurement optical cables and temperature sensing optical cables, it can effectively sense the real-time temperature and sound changes of each group of idlers. When wear occurs, it can accurately locate the position of the faulty idler, so as to accurately locate and give an early warning to the faulty idler before an accident occurs, thereby greatly reducing the irreparable wear of the faulty idler. In addition, during the temperature detection process, with the setting of a heat conduction bridge, the three-point temperature of the same group of idlers can be detected and cross-compared. On the one hand, it can effectively detect whether the corresponding idler is abnormal. On the other hand, it can also provide reference data for other idlers. Compared with non-contact and single-point temperature monitoring, the accuracy of the detection results is greatly improved, and the occurrence of false alarms is reduced.

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.

A conditioning system operable in a vehicle. The conditioning system comprises a thermal effector, a first local sensor associated with the thermal effector, and a controller in signaling communication with the thermal effector and the first local sensor. The controller or an additional controller dynamically estimates a thermal condition remote from and at least partially influenced by the thermal effector. The dynamic estimation is based on a first temperature sensed by the first local sensor and optionally a second temperature sensed by an optional second local sensor. The controller controls the thermal effector based on the dynamically estimated thermal condition.

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 relates to the technical field of temperature monitoring, in particular to an abnormal temperature remote monitoring method for a low-voltage power distribution cabinet, and the method comprises the steps: obtaining temperature change data and temperature sensing data, obtaining the similarity between the temperature sensing data and the temperature change data, obtaining the temperature weight of the internal part of the power distribution cabinet according to the similarity, and obtaining the temperature of the internal part of the power distribution cabinet. The overall temperature in the power distribution cabinet is obtained according to the temperature weight of the internal part of the power distribution cabinet; according to the overall temperature in the power distribution cabinet, the temperature of each time node in the temperature sensing data of the abnormal heat accumulation part, the total number of times of abnormal heat accumulation and the duration of abnormal heat accumulation, the heat accumulation degree of the heat accumulation part in the power distribution cabinet is obtained, and the safety coefficient of the power distribution cabinet is obtained according to the heat accumulation degree. And performing anomaly evaluation on the power distribution cabinet according to the safety coefficient. By analyzing the abnormal heat accumulation condition of the power distribution cabinet, the safety coefficient of the power distribution cabinet is calculated, the abnormal degree of the power distribution cabinet can be well evaluated, and potential safety hazards possibly existing can be found in time.

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.