1930 results about "Thermal threshold" patented technology

The invention discloses a server heat dissipation device and a heat dissipation control method.The surface of a server mainboard is divided into a core heat dissipation area, a transition heat dissipation area and an edge heat dissipation area, and the method comprises the steps that real-time temperature data of all the areas are synchronously collected through a temperature detection module; constructing a three-dimensional temperature field distribution map containing temperature gradient and heat flow direction; then thermodynamic parameter calculation is carried out, temperature time sequence change characteristics of all the partitions are extracted, and a thermal diffusion path in a future set time period is predicted by fusing the temperature time sequence change characteristics and the thermodynamic parameters; a control instruction set is generated according to the predicted thermal diffusion path, the actual heat dissipation response is monitored through an acoustic sensor in the execution process, monitoring data and the predicted thermal diffusion path are dynamically compared, and control parameters of the control instruction set are updated till all the partitions reach the target temperature threshold value; and the sudden temperature change is pre-judged, the hot spot elimination response time is shortened, and the collaborative breakthrough of the heat dissipation efficiency and the energy consumption control of the high-density server cluster is realized.

The invention relates to a method for intelligently monitoring the temperature of important parts of a server, which comprises the following steps: acquiring specified data of the server, inputting the specified data into a dynamic threshold model for training, acquiring various items in real time, inputting the trained dynamic threshold model, and adjusting the temperature threshold of each important part in real time according to the load change and environment change of the server; when the real-time temperature of a certain part is greater than or equal to the corresponding temperature threshold value, correcting the temperature threshold value of the associated part in real time, and performing coupling analysis on the temperature data of different parts under the same time dimension and the temperature change curve of different time nodes; when the real-time temperature of a certain part is greater than or equal to the temperature threshold determined by the dynamic threshold model, an early warning signal is sent out; and generating a temperature control strategy based on the early warning signal and executing a corresponding action by an execution component. The server temperature condition is comprehensively mastered through a dynamic threshold value model, correlation analysis and coupling analysis, an optimized control strategy is generated according to the early warning level, and rapid and accurate regulation and control of the server temperature are achieved.

The invention relates to the technical field of electronic equipment battery management, and discloses a battery charging management method and an electric quantity accurate display method based on electronic equipment. The dynamic adjusting module generates a multi-dimensional strategy through a staged charging control unit (including a fast, balanced and trickle charging sub-unit), a parameter transition processing layer and a global charging state pooling layer; the environment adaptation module adjusts the charging power and the temperature threshold according to the environment data, and has the functions of environment feature extraction, self-adaptive compensation and anti-interference switching; and the strategy fusion module outputs a control instruction in a weighted manner, and is additionally provided with an exception handling and wireless charging optimization mechanism. When the electric quantity is displayed, the collected data is dynamically calibrated to compensate polarization errors, and the capacity is fused with a matching historical curve to generate a high-precision electric quantity percentage which is dynamically rendered and displayed. According to the scheme, the charging safety, efficiency and electric quantity display precision are improved.

The invention relates to the technical field of cold-chain commodity transportation, in particular to a temperature monitoring and control method in a cold-chain commodity transportation process, which comprises the following steps: acquiring real-time temperature data, and generating a thermal response digital file of a cold-chain commodity according to the real-time temperature data and a cold-chain commodity category database; real-time positions and external air temperature data of the cold chain commodities are collected, and a temperature threshold value of the next time period is predicted according to the heat capacity characteristic parameters reflected by the thermal response digital archive; a three-dimensional temperature field distribution diagram is constructed based on the temperature threshold value of the next time period and the vibration data of the compartment where the cold-chain commodities are located; generating a control instruction according to the coordinates of the temperature anomaly region in the three-dimensional temperature field distribution diagram; after the control weight coefficient is calculated according to the control instruction and the preset energy consumption optimization objective function, the temperature control operation is executed according to the control weight coefficient and the control instruction, and balance temperature monitoring and control and energy consumption optimization are effectively achieved.

The invention relates to a battery thermal runaway intelligent grading early warning method, and relates to the technical field of battery thermal runaway early warning, and the method comprises the steps: loading a pre-control parameter and an environment temperature of a target cell, and constructing a cell dynamic portrait; obtaining a first battery cell temperature extreme value through a battery cell temperature extreme value prediction model; when the first battery cell temperature extreme value is smaller than the thermal runaway temperature threshold value, loading the abnormal compression time sequence information and the cycle index of the target battery cell, and constructing a battery cell static portrait; when the abnormal compression time sequence information is not empty, or / and the cycle index is greater than a cycle index threshold value, retrieving a sample set of the battery cells of the same model; counting the proportion of the thermal runaway samples in the same type of battery cell sample set, and setting the proportion as a target battery cell thermal runaway risk coefficient; and executing the grading early warning strategy. The problems that thermal runaway is difficult to accurately predict, early warning lags and potential safety hazards exist due to the fact that traditional battery thermal runaway management depends on a battery pack temperature sensor to collect temperature and early warning is executed only when the temperature reaches a preset value are solved.

A power tool system includes a power tool, a sensor, and an electronic controller of the power tool. The power tool includes a power tool housing, a motor housed within the power tool housing, and a pack interface coupled to the power tool housing. The pack interface receives a power tool battery pack having a corresponding tool interface. The sensor senses an electrical parameter corresponding to a power tool battery pack coupled to the pack interface. The electronic controller of the power tool controls the power tool battery pack to discharge current; receives an output of the sensor when the power tool battery pack is controlled to discharge current; generates a temperature estimate by processing the output of the sensor using a thermal model stored on the memory; and generates a temperature warning signal in response to the temperature estimate exceeding a temperature threshold.

A method of cooling a mammal with an implantable blood pump. The method includes measuring a temperature of an internal controller, the internal controller being in communication with the implantable blood pump. an alert is generated if the temperature of the internal controller exceeds a predetermined temperature threshold.

The invention relates to the technical field of display panel manufacturing, in particular to a liquid crystal module hot-pressing binding method based on intelligent temperature control, which comprises the following steps: step 1, hot-pressing area partitioning and dynamic temperature calibration: dividing a contact surface of a hot-pressing head into a plurality of independently controlled temperature areas, each area is provided with at least one temperature sensor, and the temperature sensors in all the areas are calibrated through thermal imaging equipment, so that the deviation between the sensors and the real temperature is eliminated; 2, dynamic temperature compensation and pressure cooperative control are carried out; step 3, iteratively optimizing hot pressing process parameters, and training the deep learning model based on historical binding data to predict an optimal temperature-pressure parameter combination of a next binding period; and automatically correcting the initial temperature threshold in the step 1 and the target pressure in the step 2 according to a prediction result. Through the intelligent temperature control and pressure cooperative control technology, the temperature and pressure in the hot pressing process of the liquid crystal module are accurately adjusted, and the bonding quality and the production efficiency are remarkably improved.

The invention relates to a cold chain transportation intelligent early warning and abnormity processing method based on temperature sensor data, and the method comprises the following steps: carrying out the temperature data collection of different regions in a cold chain transportation carriage, and obtaining the temperature collection data; performing temperature fluctuation analysis based on the temperature acquisition data to obtain a temperature fluctuation trend parameter; based on the temperature fluctuation trend parameters, temperature threshold value judgment is conducted on the cold chain transportation compartment, and a temperature judgment result is obtained; and when the temperature judgment result is that the temperature of the core cargo area in the cold-chain transportation carriage exceeds the preset threshold range, temperature early warning grade information is determined according to the temperature judgment result, and an abnormity processing instruction is generated based on the temperature early warning grade information, so that the problem that potential temperature risks cannot be predicted in advance is solved, and the safety of the cold-chain transportation carriage is improved. And the exception processing is often lagged.

According to the intelligent fire extinguishing system for the transformer, internal and external data of the transformer are collected in real time through a sensor module, the collected data are preprocessed through a data processing and model module, and a large model architecture based on Transform and a multi-head self-attention mechanism are adopted; the current temperature state and the future temperature change trend of the transformer are predicted in real time, risk assessment and anomaly detection are carried out, multi-stage temperature threshold values are set in the system, real-time data processing and model optimization are achieved through an edge computing and cloud computing cooperation module, the response speed and prediction accuracy of the system are improved, and the system reliability is improved. The infrared monitoring module monitors the temperature change and the fire condition outside the transformer in real time and accurately detects a fire or an abnormal high-temperature area, and when the fire is detected or a dangerous-level temperature early warning is received, the fire extinguishing module starts the non-pressure-storage fire extinguisher, sprays a fire extinguishing agent and rapidly extinguishes a fire, so that the safety and reliability of the transformer are enhanced, and the safety of the transformer is improved. And the operation cost is reduced, and the application prospect is wide.

The invention relates to the technical field of immersion liquid cooling data center cooling, and particularly provides a single-phase immersion liquid cooling server circulation cooling method and system, and the method comprises the steps: comparing the real-time temperature of a cooling liquid with a preset temperature threshold value, transmitting a first program instruction by a control system, and carrying out an immersion liquid cooling cabinet internal circulation mode; or a second program instruction is sent, and a heat exchange circulation mode is carried out; after the heat exchange circulation mode is started, a main liquid outlet pipeline is opened; the cooling liquid flows back to the liquid outlet of the immersed liquid cooling cabinet through the backflow branch pipeline, the real-time temperature of the cooling liquid and the preset temperature threshold value are continuously judged, and switching between the internal circulation mode and the heat exchange circulation mode of the immersed liquid cooling cabinet is achieved according to the comparison result. The system comprises an immersed liquid cooling cabinet, a branch pipeline valve, a main pipeline valve, a main liquid outlet pipeline, a pump, a heat exchanger and a branch pipeline. According to the invention, the topology reconstruction capability of the cooling liquid flow is realized, and local circulation and global circulation are dynamically switched according to the thermal load.

The invention discloses a fan control method and device, a product, a server and a medium, and relates to the field of computer hardware control. Under the condition that the temperature value of the server component is larger than or equal to the new current temperature threshold value, the target rotating speed value of the fan is output through the proportional-integral-differential control model, then the fan is controlled to rotate according to the target rotating speed value, and cooling of the server component through the fan is achieved; secondly, when the temperature threshold value is determined, the historical temperature values of the components under the multiple environment temperatures are considered, and the temperature threshold value is updated, that is, the fan is controlled by depending on the dynamic threshold value. The threshold value is adjusted in advance according to the environment temperature, so that frequent triggering of starting of the fan due to transient fluctuation of the environment temperature is avoided, and the stability of the server is ensured; and thirdly, based on an environment-load combined compensation mechanism, the rotating speed of the fan is dynamically adjusted to offset the influence of the environment temperature, the influence of the environment temperature and load factors on fan control is avoided as much as possible, and the fan control precision is improved.

The invention relates to the field of power equipment intelligent control, and discloses a power equipment maintenance management system and method based on artificial intelligence, and the method comprises the steps: carrying out the multi-source data collection through a sensor, eliminating the noise of the sensor, generating a three-dimensional thermal field model, displaying the temperature gradient between power equipment, and recognizing a high-temperature aggregation region; the heat conduction coefficient and the convection heat dissipation efficiency are corrected in real time by combining environmental parameters to build a model, historical data temperature changes are analyzed, the temperature abnormal condition is analyzed through a temperature threshold value according to the average temperature change and the highest temperature in a period, and the heat dissipation power is adjusted in time; the temperature of the power equipment is predicted based on the temperature change trend of the power equipment, the future heat dissipation efficiency is adjusted, the heat dissipation efficiency is improved to the minimum, the temperature of the power equipment after the heat dissipation efficiency is adjusted is predicted, the actual temperature and the adjusted predicted temperature are analyzed, the deviation is compared, and the formula for adjusting the heat dissipation power is dynamically compensated. And ensuring that the deviation degree and the deviation proportion meet preset standards.

The invention discloses a motorcycle emission fuel injector control method, system and equipment and a storage medium, and relates to the technical field of internal combustion engine control. According to the method, the real-time temperature of the fuel injector under the unheated condition is obtained, and the preheating temperature threshold value of the fuel injector is determined based on the difference value between the real-time temperature and the target temperature; acquiring a first temperature change rate of the fuel injector in each preset time period under the condition that the fuel injector is heated by a heat source of the motorcycle according to the preset heat supply amount; the preset heat supply amount is adjusted according to the first temperature change rates, and the target heat supply amount is obtained; a heat source of the motorcycle is controlled to heat a fuel injector according to the target heat supply amount until the real-time temperature reaches the preheating temperature threshold value, and emission parameters of a motorcycle engine are monitored; and the fuel injection amount of the fuel injector is determined based on the emission parameters and the emission parameter standard, and the fuel injector is controlled to inject according to the fuel injection amount. The motorcycle engine has the effect of improving the emission performance of the motorcycle engine.

The invention discloses an unmanned aerial vehicle-mounted GNSSINS visual combination fire detection method, system and device and a medium, belongs to the technical field of unmanned aerial vehicles, and aims to solve the technical problem of how to improve the positioning precision and fire recognition capability of an unmanned aerial vehicle in a complex environment. Setting a dynamic temperature threshold value, and calibrating the threshold value in real time in combination with the environment temperature; identifying a fire source diffusion trend by adopting a temperature gradient analysis method, and excluding isolated high-temperature points; an image is collected through an RGB camera and converted into an HSV color space, flame features are extracted, and the flame shape is detected in real time through a YOLOv5 model; detecting a smoke area based on a U-Net segmentation network, outputting a binary mask, carrying out space-time alignment on the binary mask and the wind speed and wind direction of the meteorological data, and predicting the fire spreading direction; thermal imaging, visible light and smoke detection results are fused through the D-S evidence theory, and when the confidence coefficients of the thermal imaging, visible light and smoke detection results are all larger than 80%, it is judged that a fire exists.

The invention relates to the technical field of industrial computer heat dissipation, in particular to an industrial computer memory and storage collaborative heat dissipation system which is used for solving the problems that in the prior art, temperature distribution modeling and state evaluation cannot be achieved, thermal state categories cannot be divided by integrating a temperature threshold value and an operation state, and the equipment health judgment accuracy is reduced. According to the invention, a temperature control monitoring module constructs a thermal field model by using operation state and thermal behavior data, divides hardware units, establishes a heat conduction path, realizes temperature distribution modeling and state evaluation, calculates thermal power density through standardized parameters, and solves steady-state temperature by using a numerical method in combination with boundary conditions and a cooling model. Structured temperature information is output, a temperature threshold value and an operation state are integrated to divide thermal state categories, and the equipment health judgment accuracy is improved.

The invention relates to the technical field of box transformer substation control, and particularly discloses an intelligent charging box transformer substation overload protection threshold value dynamic calculation method and related equipment, and the method comprises the steps: continuously obtaining the load information, the in-box temperature information and the environment temperature information of an intelligent charging box transformer substation; identifying and acquiring a parameter set of the dynamic thermodynamic model to determine the dynamic thermodynamic model; the identified dynamic thermodynamic model is utilized to predict the temperature in the box at the next moment based on the load information and the environment temperature information; based on the predicted temperature in the box and a preset safe temperature threshold value, a temperature margin is obtained through calculation; adjusting an overload protection threshold according to the temperature margin; according to the method, the self-adaptive adjustment of the overload protection threshold is realized, so that the overload protection strategy can dynamically change according to the actual operation state of the box-type transformer substation, the safe operation of the box-type transformer substation under the working conditions of slow heat dissipation and load fluctuation is ensured, the overload capacity of the box-type transformer substation is fully utilized, and the continuity of the charging service is improved.

The utility model discloses a cooling air cooling system for glass tempering. The cooling air cooling system comprises a heat exchange air bellow, a primary heat exchanger and a secondary heat exchanger, an input port of the heat exchange air bellow is used for communicating with an output port of the fan, and an output port of the heat exchange air bellow is used for communicating with a cooling air input port of the air grid quenching section; the first-stage heat exchanger and the second-stage heat exchanger are installed in the heat exchange air box, the first-stage heat exchanger is close to an input port of the heat exchange air box, and the second-stage heat exchanger is close to an output port of the heat exchange air box. The temperature of the refrigerant circularly flowing in the second-stage heat exchanger is lower than the room temperature and lower than the temperature of the cooling water circularly flowing in the first-stage heat exchanger; the first-stage heat exchanger and the second-stage heat exchanger are used for exchanging heat with cooling air input into the heat exchange air box and making the temperature of the cooling air output by the heat exchange air box lower than a set temperature threshold value, and the temperature threshold value is not higher than the room temperature. Through heat exchange, the temperature of cooling air output by the heat exchange air box is lower than the room temperature.

The invention provides a crystal oscillator and an atomic clock, and relates to the technical field of oscillators, the crystal oscillator comprises a packaging cavity, a crystal, a temperature sensor and a cantilever beam assembly, the crystal, the temperature sensor and the cantilever beam assembly are arranged in a containing cavity of the packaging cavity, and the packaging cavity is of a vacuum packaging structure. The crystal and the temperature sensor are arranged on the cantilever beam assembly, the crystal and the temperature sensor are electrically connected with different connection points of the packaging cavity through the cantilever beam assembly, and the temperature sensor is arranged around the crystal; the cantilever beam assembly comprises a heating module, and when the temperature sensor monitors that the temperature of the area where the crystal is located is smaller than a preset temperature threshold value, the heating module heats the crystal. The energy loss of air damping to the high-frequency vibration of the crystal is eliminated, the Q value is improved, and the phase noise suppression capability is enhanced; accurate control over the temperature of the area where the crystal is located is achieved, the thermal response speed and the temperature control precision are improved, and the problem that an existing crystal oscillator is poor in stability is solved.

The invention discloses a stirring head temperature control method and system, a medium and a product, and relates to the field of electric digital data processing. By implementing the application, the control system acquires the temperature data of the needle part and the shoulder part of the stirring head in real time, and predicts the temperature of the needle part and the temperature of the shoulder part within the future preset duration by using the temperature prediction model in combination with the cooling liquid flow of the needle part and the shoulder part. When the deviation between the predicted temperature and the target temperature exceeds the temperature threshold value, the control system can calculate and adjust the flow of the cooling liquid in time, and accurate dynamic control over the temperature of the stirring head is achieved. According to the predictive temperature control method, the machining quality problem caused by too large temperature fluctuation of the stirring head can be prevented, and the stability and controllability of the welding process are improved. Meanwhile, the control system controls the cooling liquid flow of the needle part and the shoulder part respectively, finer temperature adjustment is achieved, and the phenomenon of local supercooling or superheating caused by a traditional single cooling mode is avoided.

The invention relates to a temperature control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring the real-time temperature of a controlled object, determining a temperature deviation value and a temperature deviation change rate according to the real-time temperature and a preset reference temperature, determining a fuzzy control weight coefficient and a proportional-differential-integral control weight coefficient according to the real-time temperature and a preset temperature interval, and determining a fuzzy control weight coefficient and a proportional-differential-integral control weight coefficient according to the fuzzy control weight coefficient and the proportional-differential-integral control weight coefficient; the preset temperature interval is determined based on a preset reference temperature, a preset dual-mode switching temperature threshold value and a preset temperature buffer area, and the temperature of the controlled object is adjusted based on the temperature deviation value, the temperature deviation change rate, the fuzzy control weight coefficient and the proportion-differential-integral control weight coefficient. And the temperature deviation value between the real-time temperature and the preset reference temperature is within the preset temperature error range. By adopting the method, the precision of temperature control can be improved.

The invention relates to a heat dissipation optimization method and system for an air conditioner control panel, and belongs to the technical field of energy-saving air conditioner heat dissipation. Comparing the real-time temperature data with a preset temperature threshold value, and determining a heat dissipation mode; when the real-time temperature data is lower than a first threshold value, a first-stage heat dissipation mode is started, a heat dissipation fan is controlled to operate at the lowest rotating speed, and a basic heat conduction path of a cooling fin is activated; when the real-time temperature data is between a first threshold value and a second threshold value, a second-stage heat dissipation mode is started, the rotating speed of a heat dissipation fan is adjusted to be in linear proportion to the real-time temperature data, and an expansion heat conduction path of a cooling fin is started to increase the heat dissipation area; and when the real-time temperature data exceeds a second threshold value, starting a three-stage heat dissipation mode, switching to phase change material auxiliary heat dissipation, controlling a heat dissipation fan to operate at the maximum rotating speed, dynamically adjusting the heat conduction efficiency of a heat dissipation sheet through a pulse width modulation signal, and triggering a temperature alarm signal.

The invention discloses a power transformation equipment infrared image analysis and diagnosis method and related equipment, and the method achieves the precise analysis and intelligent diagnosis of the operation state of power transformation equipment through the steps of multi-modal data collection, data preprocessing, equipment target recognition, temperature anomaly detection, intelligent fault diagnosis and equipment health trend prediction. And by adopting the improved target detection network, the identification precision of the equipment target is improved, the segmentation effect of key parts of the equipment is optimized in combination with multi-modal data, and the false detection rate in a complex environment is reduced. Based on a dynamic hot area enhancement algorithm and a temperature gradient field analysis method, an abnormal temperature area is effectively extracted, and the accuracy of abnormal temperature detection is improved in combination with an environment compensation mechanism. The equipment state is intelligently analyzed through a deep learning model, fault types such as poor contact, insulation aging, overload heating and cooling abnormity are accurately classified, dependence on a fixed temperature threshold value is reduced, and diagnosis adaptability is enhanced.

The invention provides a multi-energy coupling air source heat pump heating type selection and operation method and system, and relates to the technical field of air source heat pumps, which comprises the following steps: predicting a heating load according to building parameters and meteorological parameters, selecting an air source heat pump, and connecting a solar heat collector, a heat storage water tank and a heating tail end. Then, according to the meteorological parameters, the heat yield of the solar heat collector is calculated, the heat collection area and the volume of the heat storage water tank are determined, and an air source heat pump heating performance curve is established; and finally, the input temperature threshold value of the solar heat collector and the operation time period of the air source heat pump are determined based on the system operation optimization model, solar energy is preferentially used for heating, heat supply supplementation is conducted in combination with the heat storage water tank and the air source heat pump, and therefore the energy utilization efficiency is improved, and the heating cost is reduced.

The invention relates to the technical field of electric meter data transmission, in particular to an intelligent electric meter multi-mode communication low-power-consumption control and data compression combined processing method. If the ammeter temperature is greater than the temperature threshold, calculating the heat dissipation coefficient of the ammeter according to the heat dissipation parameter; determining the maximum operation power of the ammeter according to the heat dissipation coefficient; judging whether the state of the electricity meter is abnormal or not according to the operation parameters, if the electricity meter works normally, selecting an LPWAN technology for data transmission and selecting a data compression mode according to a data change period, responding to the abnormal work of the electricity meter, adjusting the emission frequency according to the accumulation amount of key data, and after the adjustment of the emission frequency is completed, performing data compression. And determining a data compression and communication mode according to the maximum operation power. By calculating the heat dissipation coefficient and determining the maximum operation power according to the heat dissipation coefficient, the electric meter can operate in a safe power range, so that the operation stability of the electric meter is improved.

Migrating quantum services based on temperature thresholds is disclosed herein. In one example, a first processor device of a first quantum computing device determines that a temperature of a second quantum computing device has exceeded a temperature threshold. The first processor device identifies a quantum service, executing on the second quantum computing device, for migration, and identifies a third quantum computing device of the quantum computing system as a migration destination for the quantum service. The first processor device of the first quantum computing device configures the second quantum computing device to place the quantum service in an inactive state, and transfers the quantum service from the second quantum computing device to the third quantum computing device. The first processor device then initiates execution of the quantum service on the third quantum computing device.

The invention relates to the technical field of new energy automobile and battery safety, and discloses a power battery thermal runaway risk early warning method, which comprises the following steps: synchronously acquiring battery internal resistance dynamic change, characteristic gas concentration and temperature gradient distribution through a multi-physics field coupling sensor network, and constructing an electrochemical-thermal-gas ternary early criterion; the internal resistance mutation rate is calculated through self-adaptive sliding window differential, the gas precipitation rate and the temperature space heterogeneity index are combined and input into a multi-branch fusion neural network containing a gating attention mechanism, the continuous thermal runaway risk probability is output, and corresponding early warning is triggered according to grading threshold values. The system comprises an internal resistance, gas and temperature monitoring module and a multi-modal fusion evaluation and grading early warning execution module. According to the method, the traditional early warning logic singly depending on a temperature threshold value is abandoned, a ternary early criterion system with the internal resistance abrupt change rate, the characteristic gas precipitation rate and the temperature space heterogeneity index as the core is constructed for the first time, and electrochemical and physical field anomalies caused by thermal runaway precursor events such as lithium dendrite piercing of a diaphragm and SEI membrane rupture can be effectively captured.

The invention relates to the technical field of wind driven generator control, in particular to a thermal management system and method for a wind driven generator, and the system comprises a data collection layer, a prediction module, a digital twin model, an intelligent control and diagnosis engine, and a heat dissipation execution mechanism. In the prior art, an open-loop or simple feedback control scheme based on a real-time temperature threshold value is mainly adopted, the problem of response lag exists, and all heat dissipation parts always work independently and lack cooperation, so that the energy efficiency is low; according to the invention, a closed-loop intelligent thermal management scheme based on a digital twin model is adopted, and real-time simulation and future state prediction are carried out by constructing virtual mapping of a generator thermal system, so that a control system can actively and cooperatively manage all heat dissipation resources according to a simulation result; the method has the core advantage of converting passive into active, and can intervene in advance before excessive accumulation of heat, so that collaborative optimal control of all parts of the system is realized, and the accuracy, timeliness and overall energy efficiency of heat management are remarkably improved.

The invention is suitable for the technical field of refrigerators, and provides a refrigerator defrosting control method, system, equipment and device.The refrigerator defrosting control method comprises the steps that a linear regression model is built based on historical refrigerator external environment temperature and historical door opening frequency data, and temperature threshold data and frequency threshold data are obtained; a refrigerator early warning signal is obtained by monitoring the temperature change trend and the frequency change trend of the refrigerator in a unit time area in real time; based on the refrigerator early warning signal, the frosting speed in the refrigerator is calculated; dynamically adjusting defrosting parameters of the refrigerator through a dynamic adjustment algorithm; on the basis of the defrosting parameters, the defrosting program of the refrigerator is started, the operation data of the defrosting program is recorded, on the basis of the operation data, the dynamic adjustment algorithm is optimized, the defrosting control strategy is generated, the defrosting process is accurately controlled, unnecessary energy consumption and refrigerant waste are avoided, energy consumption and emission of the refrigerator can be reduced, and the refrigerating efficiency of the refrigerator is improved. Therefore, the use experience and satisfaction degree of the user are improved, and the operation burden and maintenance cost of the user are reduced.

The invention discloses a power transmission and distribution line iron accessory temperature abnormity control method and system, and relates to the technical field of power component control, and the method comprises the steps: obtaining an infrared thermal image of a target fitting; performing hot spot separation on the infrared thermal image according to a preset separation temperature threshold to obtain a hot spot region; performing boundary sharpness evaluation on the hot spot region to obtain a boundary sharpness evaluation result; performing shape regularity analysis on the hot spot area to obtain a shape regularity analysis result; and determining a heat source of the hot spot area according to the boundary sharpness evaluation result and the shape regularity analysis result. According to the method, the boundary sharpness and the shape regularity can be combined to analyze a heat source so as to realize temperature anomaly control of the hardware fitting, the temperature anomaly detection accuracy is improved, and the iron accessory hardware fitting is effectively controlled to maintain a normal state.