2930 results about "Heat control" patented technology

According to the server heat dissipation control method, the electronic equipment and the storage medium, heat dissipation control processing is firstly performed on the server according to the operation data of the server and the heat dissipation control algorithm, and then the server subjected to heat dissipation control is evaluated according to the actual heat dissipation requirement of the server, namely the preset heat dissipation condition; and optimizing a heat dissipation control algorithm according to the evaluation result and the operation data of the server after heat dissipation control. Meanwhile, a deep reinforcement learning mechanism is introduced into optimization of a heat dissipation control algorithm, and the balance problems of difficulty in parameter setting and poor system adaptability in traditional heat dissipation control are solved through cooperation of multiple algorithms and combination with edge calculation, namely, preset edge calculation equipment, so that the problem that the system adaptability is poor in the heat dissipation control of the server can be solved. The problems of difficulty in parameter setting and poor system adaptability are solved, and the technical effect of improving the efficiency and the stability of the heat dissipation system is achieved.

The invention discloses a heating control system based on solar energy-heat pump-building collaborative optimization and a construction method, and belongs to the technical field of renewable energy source heating. Comprising a parameter acquisition module, a dynamic prediction module and an optimization control module. The method comprises the following steps: constructing a building heat transfer dynamic prediction model, a solar energy performance prediction physical model, constructing a ground source heat pump performance prediction model and a solar energy-ground source heat pump system collaborative optimization control model, and predicting and optimizing system operation parameters in the next day. Through cooperative work of the parameter acquisition module, the dynamic prediction module and the optimization control module, intelligentization and high efficiency of building heating are achieved, solar energy and the heat pump efficiency can be utilized to the maximum extent, the ground source heat pump efficiency is improved, and energy consumption is reduced while the indoor comfort degree is guaranteed. In addition, a time-of-use electricity price mechanism is utilized to further optimize system operation parameters, the system operation cost is reduced, and the energy efficiency and the response capability of the system are improved.

The invention discloses an electromagnetic heating and heat preservation system for a wind power blade girder plate pultrusion die, and relates to the technical field of thermal field regulation and control, comprising the following steps: activating an electromagnetic coil array to generate an alternating magnetic field, synchronously starting a heat preservation layer device, and triggering a gradient heating mode when the temperature of the die reaches a preset threshold value; a mold temperature field is monitored in real time, the power of an electromagnetic coil and parameters of a heat preservation layer are dynamically adjusted, a target temperature gradient is established, an electromagnetic heating device and a mechanical traction device are linked in the pultrusion process, and heat dissipation control is triggered according to the material flowing state; and after heat dissipation control is completed, the main power source is cut off, the mode is switched to the waste heat recovery mode, mold waste heat is guided into the energy storage device, and the cooling rate is controlled. According to the method, accurate mode switching of electromagnetic heating from uniform temperature rise to gradient heating is achieved through cooperation of magnetic field activation and a gradient triggering mechanism, and the temperature gradient establishment speed and the morphological stability are effectively improved in cooperation with power regulation and control partition differentiation power instruction and thermal insulation layer parameter dynamic matching.

The invention discloses a coal mine ventilation and heat reduction integrated control method based on intelligent scheduling, and relates to the technical field of coal mine ventilation and heat reduction control, and the method comprises the following steps: arranging a plurality of monitoring devices on a ventilation path and a standby ventilation path of a mine, and collecting temperature, humidity, gas concentration and wind speed and volume data; the central control system gathers monitoring data in real time, analyzes the ventilation condition in the air duct and identifies whether abnormal changes exist or not. Continuous ventilation is ensured through multi-path redundancy and dynamic switching, risks of gas explosion and the like are reduced, early warning is performed by means of the airflow simulation model, and safety of miners is guaranteed. And in combination with a reinforcement learning algorithm and a simulation model, quick response and self-adaptive adjustment are realized, air distribution is optimized, shutdown is avoided, and economic benefits are improved. Meanwhile, by intelligently planning a ventilation path and dynamically adjusting the fan load, energy consumption and maintenance cost are reduced, the service life of equipment is prolonged, and sustainable operation of a mine is promoted.

The invention discloses a self-adaptive heat dissipation method and system for a modular battery module, and relates to the technical field of intelligent control, and the method comprises the steps: collecting the working environment monitoring information of a target battery module of deep sea detection equipment in real time, and carrying out the matching to obtain an optimal dynamic heat dissipation mode; a target battery module is divided into a plurality of independent heat dissipation modules, a modular battery heat dissipation framework is built, working state data of the target battery module is collected in real time to perform hot spot distribution analysis, a module temperature gradient is generated, and stepped layered heat dissipation control is performed in combination with the modular battery heat dissipation framework and an optimal dynamic heat dissipation mode. According to the invention, the technical problems that the heat dissipation efficiency is low and the battery performance is reduced due to the fact that an existing battery module cannot effectively cope with high-pressure, low-temperature and corrosive conditions in a deep sea environment are solved, and the technical effects that the heat dissipation efficiency is low and the battery performance is reduced are achieved through a modular battery heat dissipation framework and a stepped layered dynamic heat dissipation strategy; and the heat dissipation efficiency and the performance of the battery module in the deep sea environment are improved.

The invention relates to the technical field of chip temperature control, and discloses a chip temperature regulation and control system and method, and the method comprises the steps: building a thermal field dynamic model, integrating real-time power consumption data and environment heat dissipation parameters, and generating a thermal resistance adjustment coefficient and a power consumption correction coefficient; establishing a temperature prediction network to perform multi-source temperature field prediction; a dynamic regulation and control strategy is set according to a prediction result, and heat dissipation control parameters are optimized to achieve thermal field balance control; and executing feedback calibration and model iteration. The system comprises a thermal field dynamic modeling module, a multi-source temperature field prediction module, a dynamic regulation and control strategy execution module, a feedback calibration module and an iteration module. The method can accurately predict the heat distribution of the chip, realizes real-time and intelligent temperature regulation and control, improves the performance and reliability of the chip, reduces the energy consumption, and has good adaptability and universality.

The invention relates to the technical field of material removal in laser processing, in particular to a laser positioning stripping system and method for special-shaped neodymium iron boron waste, and the method comprises the following steps: S1, carrying out multispectral scanning on the surface of the special-shaped neodymium iron boron waste; s2, dynamically adjusting energy parameters of laser lift-off, and constructing an energy thickness matching model; s3, generating a fractal scanning path of the adaptive special-shaped surface based on the geometric contour data of the three-dimensional characteristic spectrum; s4, in-situ surface roughness detection is carried out in the laser lift-off process, a secondary finishing mode is triggered according to a detection result, and the safe lift-off allowance is dynamically corrected based on lift-off depth data; and S5, in-situ separation of the oxide layer fragments and the matrix particles is achieved through the hot air flow field in combination with the gas-solid separation dynamics principle, and matrix particle recovery is assisted and strengthened through the magnetic field. The laser energy, the scanning path and the thermal control strategy can be dynamically adjusted according to real-time data, so that material loss and waste are effectively avoided, and the processing efficiency and the recovery rate are improved.

An optical module is provided. The optical module includes a holder for connecting to an optical element and a heat control assembly used for controlling the temperature of the optical element. The heat control assembly corresponds to the optical element or the holder.

The invention relates to the technical field of chip heat dissipation, in particular to a computer chip liquid cooling heat dissipation system and method. The heat dissipation control module is used for outputting a control instruction according to the temperature difference value, constructing a chip temperature prediction model, obtaining a chip temperature prediction value, adjusting a judgment result of a heat dissipation mode according to the chip temperature prediction value, and correcting a safe working temperature value according to the use duration of the chip; and the execution feedback module is used for controlling the cooling liquid adjusting device according to the control quantity, outputting alarm information according to the cooling liquid flow, constructing a preset flow dynamic adjusting model and obtaining preset flow automatic adjusting information according to the real-time environment temperature data and the real-time computer load data. According to the invention, the potential overheating risk can be found in time, and the stability and reliability of the system are improved.

The invention discloses a remote wireless heat supply valve control system based on Internet of Things, which relates to heat supply system application and comprises an intelligent communication management module, a real-time environment sensing module, a self-adaptive frequency distribution and spectrum management module, an equipment control and execution module and a system monitoring and maintenance module. According to the remote wireless heat supply valve control system based on the Internet of Things, the problem that control instruction transmission of a heat supply system is unstable due to wireless interference in a complex environment is effectively solved through the self-adaptive multi-band dynamic switching and intelligent interference recognition technology; the system not only improves the reliability and stability of heat supply control data transmission, but also optimizes heat energy distribution and resource utilization, reduces the operation cost of the system, and obviously enhances the competitiveness and adaptability of the system in the fields of central heating, commercial mansions and large residential areas.

A device for heat control in laser welding of dissimilar additively-manufactured parts includes a welding main body, a moving frame, a lifting frame, a laser welding head, a temperature control mechanism, a pressing mechanism, and a supporting and cleaning mechanism. The moving frame is mounted on the welding main body. The lifting frame is provided on the moving frame. The temperature control mechanism includes a welding platform designed to hold a laser metal deposition (LMD) printed part and a selective laser melting (SLM) printed part. The laser welding head is provided on the underside of the lifting frame for to weld the LMD part to the SLM part.

The invention relates to the technical field of new energy, in particular to a fan blade composite deicing system and method.The fan blade composite deicing system comprises a sensing layer, a decision-making layer, an execution layer and a feedback layer, and the decision-making layer comprises a graph neural network ice type recognition module, a CFD-icing coupling simulation module, a health management module and an energy consumption scheduling algorithm unit; the execution layer comprises a control unit and an execution unit, the control unit comprises a dynamic partition heating controller and a self-adaptive vibration controller, and the execution unit comprises an electric heating system and a vibration deicing system; compared with the prior art that a single deicing mode is usually adopted, and the adaptability to different ice type physical characteristics is poor, the scheme adopts a differential execution strategy, and partition electric heating control is carried out on different chord length areas of the blade based on the ice type recognition result; and high-frequency piezoelectric standing wave vibration is adopted for glaze ice, low-frequency eccentric wheel vibration is adopted for glaze ice, and the beneficial effects that the deicing efficiency is remarkably improved, invalid energy consumption is reduced, and damage to blades is reduced are achieved.

The invention discloses an intelligent heating geogrid-based roadbed settlement and frozen soil plasticity prediction system, which comprises an intelligent heating geogrid, a data acquisition unit, an intelligent heating control unit, a moisture content calculation unit and an analysis prediction unit, the intelligent heating control unit performs starting control on the heating resistance wire according to a soil body temperature value collected by the optical fiber temperature sensor so as to heat the self-heating steel pipe, the self-heating steel pipe heats the soil body, and the moisture content calculation unit calculates the moisture content of the soil body according to a temperature rise value of the soil body in unit time. And the analysis and prediction unit predicts roadbed settlement and frozen soil plasticity according to the soil moisture content and the grating dependent variable. The self-heating steel pipe is installed on the grating body, the water content of the soil body is monitored in real time while the soil body is heated, the subgrade settlement state and the frozen soil plastic characteristics are accurately predicted according to the collected data, and therefore scientific support is provided for safety evaluation and maintenance of subgrade engineering.

The invention provides a charging pile supporting multi-point automatic cooling, and belongs to the technical field of charging piles, and the charging pile comprises a main control module, a temperature acquisition module, a current acquisition module, a pressure detection module, a heat dissipation control module, a communication module, a storage module, a display module and a power management module. A system control module arranged in a main control module firstly acquires temperature data of each point of a charging pile through a temperature acquisition module, constructs a temperature difference matrix and performs matrix decomposition to obtain a temperature space basis matrix and a time characteristic matrix; then, a dynamic convolution kernel is generated based on the characteristic value of the temperature space basis matrix, a temperature characteristic extraction network is constructed, and accurate extraction of temperature characteristics is realized. And the system further establishes a thermodynamic state equation set, the heat dissipation power is accurately calculated and controlled in combination with a temperature difference change coefficient matrix, and finally accurate regulation and control of multi-point temperature are achieved.

The invention provides a zone-controlled intelligent charging pile double-cooling heat dissipation system and a control method, and belongs to the technical field of charging pile heat dissipation. Comprising an area division acquisition module used for monitoring the temperature generated by a function module in each thermal control area and the temperature generated by heat dissipation equipment in each thermal control area in real time and constructing a first data set and a second data set, and an early warning analysis module used for constructing an in-pile thermal risk coefficient Rheat and an environment thermal interference coefficient Renv, and the evaluation optimization module is used for constructing a comprehensive temperature control adjustment coefficient Rtotal. According to the system, the heating temperature of the function module is accurately monitored in a zoning manner, heat dissipation is quickly performed on the function module, the temperature change of the function module can be predicted in advance, the power consumption of equipment is reduced, and the heat dissipation efficiency of the equipment is improved.

The invention discloses an intelligent management and control system for machine room equipment, and relates to the field of machine room equipment management and control, the system comprises an energy consumption management and control module, a predictive maintenance module and a security situation awareness module, the energy consumption management and control module is based on the synergistic effect of a dynamic load balancing module, a phase change heat dissipation control module and a block chain energy consumption account book module; and the energy consumption cost of machine room equipment is reduced. According to the intelligent management and control system for the machine room equipment, power supply strategies can be switched according to the actual state of the machine room equipment through the dynamic load balancing module, so that the energy consumption of the machine room equipment can be effectively reduced; according to the invention, corresponding measures can be taken at different stages when the equipment has faults, the influence of the equipment faults on services is reduced to the greatest extent, the personnel movement track, the operation instruction and the environmental parameters can be fused through the arranged security situation awareness module, and the illegal intrusion detection accuracy is improved.

The invention provides a heat supply device of a photoelectric heating all-in-one machine, and belongs to the technical field of heat supply control. According to the device, the maximum power generation power of a photovoltaic panel is automatically tracked through the photovoltaic adaptation module, the photovoltaic power supply heating module is directly driven, the photovoltaic power supply heating module is always kept near the maximum power point, and the photovoltaic power generation heat transfer efficiency is improved; through feedback of the temperature transmitting module, the intelligent control module controls the photovoltaic adaptation module and the mains supply control module at the same time, photovoltaic direct drive and mains supply can be automatically matched to assist in automatic conversion of heating control for complementary heat supply, the intelligent control module has a temperature compensation control technology, and when the photovoltaic heat supply temperature is lower than the lower limit, the intelligent control module controls the intelligent control module to supply heat. Mains supply is automatically switched on for temperature compensation; meanwhile, the photovoltaic adaptation module and the photovoltaic power supply heating module are independent systems, the commercial power control module and the commercial power supply heating module are independent systems, and the two systems are independent of each other, have no interference to a power grid and are more stable and safer in operation. The intelligent heat supply mode switching method and device can improve the intelligence of heat supply mode switching.

The invention discloses a secondary network heat supply temperature control method and device based on a negative pressure water mixing technology, and relates to the technical field of secondary network heat supply control. The secondary network heat supply temperature control method and device based on the negative pressure water mixing technology comprises the steps that S1, operation data, structure steady state data and thermal environment data in a current heat supply task are collected, and a standardized heat supply working condition data set is constructed after preprocessing; s2, local hydraulic fluctuation characteristics are evaluated, and the water mixing proportion, the water supplementing flow and bypass path configuration are dynamically adjusted; s3, jointly analyzing the temperature difference of supply water and return water, the heat deviation and the valve state, and driving water mixing adjustment and path optimization; s4, evaluating adjustment intensity and heat response deviation, and realizing abnormal disturbance response and adjustment strategy correction; and S5, recording negative pressure, uneven heat and cold and response data for subsequent diagnosis and steady state identification. The problems that a traditional water mixing control means is difficult to effectively inhibit pressure fluctuation of the water return end, local negative pressure is easily formed, and local energy waste and uneven heat distribution are caused are solved.

The invention provides an energy storage coupling heat pump heat supply system and a heat supply method. The system comprises a heat pump device, an energy storage device and a control module. The heat pump device heats the heat carrier to a first temperature, and the energy storage device further heats the heat carrier to a second temperature for heat supply. The control module dynamically regulates and controls operation of the heat pump device and the energy storage device according to the heat supply demand quantity and the external heat source state, the heat pump device and the energy storage device are preferentially operated in the off-peak electricity period to complete heat storage, and first enthalpy increment provided by the heat pump device and second enthalpy increment released by the energy storage device are dynamically distributed in the heat supply period. And diversified thermal load requirements are met. The system supports real-time adjustment of power distribution, preheating optimization and waste heat utilization, and has the characteristics of high efficiency, flexibility and energy conservation.

The invention provides a battery heating control method and device, equipment, a storage medium and a program product, and relates to the technical field of battery heating. The method comprises the steps that when the vehicle meets the pulse heating condition, the saturation current of a motor for adjusting the battery temperature is determined based on the maximum negative electrode potential of a battery cell in a battery; determining the maximum pulse heating current of the motor based on the maximum current and the saturation current borne by the bus of the motor; and performing pulse heating on the battery based on the maximum pulse heating current. By considering the influence of the cathode potential, the cathode potential of the battery cell is kept in a safe range in the pulse heating process, and the risk of lithium precipitation of the battery cell is effectively reduced, so that the safety of the battery is improved, and the service life of the battery is prolonged; besides, the saturation current of the motor is determined based on the maximum cathode potential, and the maximum pulse heating current of the motor is further determined, so that the heating rate of the battery can be maximized on the premise of ensuring the safety of the battery, and the performance of the battery in a low-temperature environment is improved.

The invention discloses a server heat dissipation control method and device, computer equipment and a storage medium, and relates to the technical field of server heat dissipation, and the method comprises the steps: predicting first load prediction information and prediction thermal power based on the working state information of a server; and determining configuration parameters of the heat dissipation assembly according to the predicted thermal power and the working state information. And the cooling medium entering the server in the heat dissipation assembly is adjusted according to the configuration parameters, so that the actual load change of the server is accurately matched, and the server is prevented from being excessively cooled or insufficiently cooled. The problem that the performance of the server is affected due to over-cooling or insufficient cooling caused by the fact that cooling regulation and control are difficult to accurately match actual load changes is solved. According to the method, the load and the thermal power of the server can be predicted, the future heat dissipation requirement of the server is determined according to the predicted thermal power and the working state information of the server, the heat dissipation assembly is adjusted in time, and the situation that the heat dissipation requirement of the server is suddenly changed, so that the server is excessively cooled or insufficiently cooled is avoided.

The invention relates to the technical field of intelligent control, and particularly discloses a boiling point self-adaptive heating control method and device for a water dispenser and the water dispenser. The method comprises the steps that the boiling point temperature of drinking water is determined according to the environment air pressure value; controlling the heating device to heat the drinking water in a high-power mode until the temperature of the drinking water reaches a preset first temperature threshold value; after the temperature of the drinking water reaches the first temperature threshold value, the heating device is controlled to continuously heat the drinking water in a low-power mode until the temperature of the drinking water reaches the boiling point temperature; according to the method, firstly, the environment air pressure value is obtained, the boiling point temperature of drinking water is adaptively determined according to the environment air pressure value, the defect that the boiling point temperature of a traditional water dispenser is fixed is overcome, the accuracy of the boiling point temperature in different air pressure environments is guaranteed, meanwhile, a two-section type heating control mode is adopted, and the heating efficiency can be guaranteed while the heating efficiency is guaranteed. The energy consumption is reduced, and the scale generated by violent boiling is reduced.

The invention discloses a server heat dissipation module control optimization method and system based on analogue simulation, and relates to the technical field of multi-physics field coupling modeling, and the method comprises the steps: constructing a multi-physics field simulation twin space, carrying out the heat flow simulation to obtain a heat dissipation simulation data set, collecting the real-time operation parameters of a server, mapping the real-time operation parameters to the space, and carrying out the heat dissipation simulation data set; the heat dissipation simulation data set is combined to deduce and obtain the heat dissipation temperature change trend, heat dissipation requirements are analyzed and determined according to the trend, a feedback data set is obtained through multi-target control and parameter adjustment, the space is corrected through the feedback data set, and a strategy is made to optimize heat dissipation module control. The technical problems that existing server heat dissipation control lacks twinborn simulation, accurate mapping and dynamic data processing support of the server heat flow state are difficult, complex changes of heat flow cannot be adapted, and consequently the heat dissipation regulation and control precision is insufficient are solved, accurate pre-judgment and dynamic regulation and control of the heat dissipation trend of the server are achieved, and the service life of the server is prolonged. And the control accuracy and adaptability of the heat dissipation module of the server are improved.

The invention discloses a double-fluid topological optimization construction method and system for a printed circuit board heat exchanger, and the method comprises the steps: building a periodic boundary condition and a symmetric boundary condition of the printed circuit board heat exchanger based on the periodicity and symmetry of the height direction and the vertical flowing direction of the printed circuit board heat exchanger and the known full-scale model of the printed circuit board heat exchanger; selecting a typical flow channel unit of the three-dimensional printed circuit board type heat exchanger, and constructing a three-dimensional single flow channel model; then, according to the three-dimensional single-flow-channel model, a topological optimization material characterization method of a coupling variable density method and a three-dimensional flow heat transfer control equation, dimensionality reduction is conducted on the three-dimensional flow heat transfer problem to a two-dimensional design domain, and a two-fluid flow heat transfer dimensionality reduction model is formed; and finally, according to the two-fluid flow heat transfer dimension reduction model, coupling a variable density method topological optimization objective function and a filtering projection post-processing method, obtaining distribution of solid fins and fluid flow channels in the cold side fluid flow channel and the hot side fluid flow channel, namely a two-fluid topological optimization model. According to the method, topological optimization is carried out with heat exchange enhancement and flow resistance reduction as targets on the basis of the method, distribution of fluid fins in a design domain is obtained, a novel topological channel structure is constructed, and the performance of the printed circuit board type heat exchanger is improved; compared with a traditional structure, the total heat exchange amount can be increased by 13.1% under the condition that the pump work of the heat exchanger is reduced by 38%.

The invention discloses an excavator heat dissipation control method and system based on environment temperature and operation working conditions. The excavator heat dissipation control method comprises the steps that S1, the operation working conditions of an excavator are divided into five working conditions including the super-heavy load working condition, the heavy load working condition, the medium load working condition, the light load working condition and the super-light load working condition; s2, the external environment temperature is divided into 10 gears; s3, according to the environment temperature and the operation working condition, the heat dissipation requirement is divided into 10 gears; s4, the rotating speed of the cooling fan is adjusted according to the cooling requirement gear, so that the cooling requirement is accurately matched with the rotating speed of the cooling fan; and S5, whether the temperature of the working medium in the excavator is larger than a high-temperature threshold value or not is judged, if yes, heat dissipation is conducted according to the corresponding heat dissipation fan rotating speed obtained through the heat balance test, and if not, heat dissipation is conducted according to the actual heat dissipation requirement gear standard. The problem of heat dissipation redundancy caused by single parameter control is solved, and dynamic matching of the rotating speed of the fan and the composite heat dissipation requirement is achieved. And the energy consumption under the low-load working condition and the cold environment is reduced, and the risk of insufficient heat dissipation under the high-temperature heavy-load working condition is avoided.

The invention relates to an intelligently adjustable motorcycle shock absorber, and relates to the technical field of shock absorbers. The invention comprises a spring system, a damping system, a nitrogen tank system and a thermal control system. The spring system comprises a spring upper seat device, a spring body and a spring lower seat device which are installed in sequence. The damping system comprises a damping tube, a damping rod and an upper mounting seat. The damping rod is slidably installed in the damping tube, and the lower end of the damping rod is installed on the spring lower seat device. The damping rod is provided with a damping flow channel. The nitrogen tank system is divided into an oil chamber and an air chamber. The thermal control system is respectively connected with the oil chamber and the upper chamber. The thermal control system comprises a thermal control mounting block, a thermal control airbag and a thermal control piston. The thermal control mounting block is provided with a thermal control channel. The thermal control airbag is installed on the thermal control mounting block. The thermal control piston is slidably installed on the thermal control mounting block. The thermal control piston points to the thermal control channel. The thermal control piston is transmission-connected with the thermal control airbag, and can automatically increase the damping after the viscosity of the shock-absorbing oil is reduced.

The invention discloses an intelligent heat dissipation control method and system of a photovoltaic inverter, and relates to the technical field of heat dissipation control of photovoltaic inverters, and the method comprises the following steps: collecting the temperature of parts in the photovoltaic inverter and the temperature of the environment in the photovoltaic inverter through a temperature sensor, collecting an internal thermal imaging image, and carrying out the first screening processing; establishing a thermal imaging temperature correction model; performing temperature correction processing on the thermal imaging image in the photovoltaic inverter to obtain corrected thermal imaging temperature data; dynamically controlling a cooling fan of the photovoltaic inverter; the method is used for solving the problems that when heat dissipation control is carried out by measuring the internal temperature of the photovoltaic inverter in an existing photovoltaic inverter heat dissipation control technology, error correction cannot be carried out on a thermal imaging image through the thermal imaging image and a temperature sensor, accurate internal overall temperature information of the photovoltaic inverter cannot be obtained, and then heat dissipation control cannot be carried out.

The invention discloses a heat supply whole network collaborative dynamic optimization regulation and control method, system and equipment and a storage medium, relates to the technical field of heat supply control, and aims at solving the technical problems that in the prior art, thermal load prediction data is inaccurate, and heat transfer distribution cannot be optimized by a heat supply system, so that operation energy consumption is large. According to the technical scheme, the method mainly comprises the steps that building load prediction data and heating station load prediction data are acquired, and a load prediction model is constructed; training the load prediction model, and optimizing the model and pipe network data by using an ARX active regression algorithm; a heat supply whole network physical simulation model is constructed, and heat supply whole network thermal load data is obtained through calculation by using an MILP mixed integer linear programming algorithm; an optimal control strategy is obtained by optimizing a heat supply whole network physical simulation model and introducing a real-time feedback mechanism and an overall cooperative control module, optimization parameters of the heat supply whole network physical simulation model are automatically adjusted by using the optimal control strategy, and the heat supply whole network is continuously in an optimal operation state through automatic repeated iteration.

The invention discloses a state evaluation and fault early warning method and system based on superconducting current limiter modeling, an electromagnetic heat multi-physical field coupling model of a superconducting current limiter is constructed based on finite element software, and the method comprises the following steps: constructing a three-dimensional geometric structure of a solenoid-shaped superconducting current limiter, and setting a peripheral electromagnetic environment boundary; establishing an electromagnetic field control equation based on a Maxwell equation set and the nonlinear resistivity characteristic of the superconducting material, and coupling a solid heat transfer control equation to form a multi-physical field interaction model; optimizing grid division to balance calculation precision and solving efficiency; body parameters of the superconducting current limiter including the initial critical current Ic0 and the critical temperature Tc and working condition parameters including the environment temperature and the transmission current It are input, the parameters are dynamically adjusted according to the actual operation scene, and the voltage U at the two ends during normal operation is calculated through a model; by collecting voltage measured values Up at the two ends of the superconducting current limiter during actual operation in real time, whether the voltage measured values Up exceed a threshold value set according to the voltage U or not is judged, and an early warning mechanism is triggered.

The invention relates to the technical field of industrial production control, in particular to a polyurethane raw material preheating control method and system. The method comprises the following steps: acquiring tank body temperature, environment temperature, batch temperature rise, tank body structure and raw material liquid data, constructing a thermal resistance-thermal capacitance series-parallel model to represent system thermal inertia characteristics, then identifying an initial value drift resistance section, a main temperature rise section and a disturbance absorption section in a segmented manner, and implementing power back-stepping based on segmented data, so as to obtain the thermal inertia characteristic of the system. Dynamically generating a heating power track; and a heating track is replanned in combination with real-time change data, so that precise modeling and self-adaptive control of a temperature rise process are realized, and the temperature control precision and energy efficiency response capability of the preheating system under different raw material batches and different working conditions are effectively improved.