1681results about "Temperature control using electric means" patented technology

The invention relates to the technical field of motor control, and discloses a brushless motor adaptive control method and system based on artificial intelligence, and the method comprises the steps: collecting the multi-point temperature data of a motor, building a thermal dynamic model, and reconstructing the complete temperature field distribution; identifying a relation function between motor parameters and temperature, and establishing a temperature sensitive parameter model; in combination with temperature field distribution and a temperature sensitive parameter model, learning long-term influence of control actions on temperature distribution, and predicting temperature evolution trends under different control strategies; constructing a multi-objective optimization control strategy, and generating a motor control instruction and a heat dissipation control instruction; dynamically selecting an optimal heat dissipation strategy combination according to the generated control instruction, the current working condition and the predicted heat influence; according to the invention, high-precision control and thermal management optimization of the brushless motor in a temperature change environment are realized.

The invention relates to the technical field of laser material processing, and discloses a laser annealing temperature control method and device.The method comprises the steps that the specific heat capacity, the heat conductivity coefficient, the heat diffusivity, the heat radiation rate, the heat reflectivity and the heat loss coefficient are obtained, and a material thermal characteristic model is established; performing grid division according to the material thermal characteristic model to obtain a laser energy density parameter; extracting a thermal strain coefficient according to the laser energy density parameter, and establishing a temperature-thermal strain mapping relation prediction model; dynamically adjusting a laser power proportion and a pulse width time sequence according to the temperature-thermal strain mapping relation prediction model to obtain temperature field distribution data; according to the temperature field distribution data, carrying out shortest path analysis to obtain a temperature regulation and control decision; and according to the temperature regulation and control decision, inputting a preset control regulation model, and combining reinforcement learning iteration optimization parameters to obtain a temperature control scheme. According to the method, large-range temperature crossing and fine adjustment in an extremely short time can be realized.

The invention discloses an intelligent self-monitoring temperature management system for a box-type substation, and relates to the technical field of intelligent power grid equipment monitoring. The problems that an existing system is large in temperature measurement deviation, low in reliability, delayed in early warning, inaccurate in hot spot positioning and extensive in heat dissipation control are solved. According to the scheme, multi-source signals are acquired in parallel through a data acquisition module, and a temperature time sequence is extracted; a boundary calibration module is adopted to fuse data to generate a three-dimensional boundary condition; the multi-physical field solving module obtains an internal temperature / stress field; the physical information prediction module is fused with a heat transfer physical constraint training graph neural network to predict a hotspot migration trend; the hierarchical scheduling module is used for solving a fan and oil pump collaborative optimization instruction in real time based on model predictive control; according to the invention, the accuracy of internal temperature monitoring of the box transformer substation, the reliability of hot spot prediction and the accuracy of heat dissipation control are remarkably improved, the insulation life of equipment is effectively prolonged, and the operation safety and reliability of the system are improved.

The invention discloses a tunnel type underground gas storage combined with temperature control, belongs to the technical field of compressed air energy storage, and can solve the problems that the cost of temperature control measures in an existing gas storage is high, and maintenance is difficult. The gas storage comprises a lining; the sealing structure covers the inner wall surface of the lining; the breathable heat conduction structure sleeves the inner side of the sealing structure; an annular cavity is formed between the sealing structure and the breathable heat conduction structure; the annular partition pieces are sequentially arranged in the annular cavity in the axial direction of the gas storage and used for dividing the annular cavity into a first temperature control area and other temperature control areas which are sequentially arranged, and the simulated operation temperature of each temperature control area is sequentially increased from the first temperature control area; a water storage bag is arranged in each temperature control area; and the water circulation structure is arranged on the outer side of the gas storage, communicates with each water storage bag and is used for forming a circulation water path with the water storage bags. The method is used for temperature control of the tunnel type underground gas storage.

The invention relates to the technical field of industrial equipment temperature control, and discloses a temperature control system, which comprises a multi-source state sensing module for acquiring a power load, temperature, humidity and feedback temperature; the feed-forward prediction and analysis module is used for generating a feed-forward signal based on the load and the temperature; the closed-loop feedback and safety guarantee module is used for calculating a feedback signal according to the temperature deviation; the cooperative control decision module combines the feed-forward signal and the feedback signal to generate a fan instruction, and generates a baffle instruction for balancing heat dissipation and regeneration according to the feed-forward signal and humidity; the self-adaptive heat dissipation execution module is used for executing a fan instruction to generate cooling airflow; and the dynamic energy regeneration module executes a baffle instruction to distribute the waste gas flow direction. According to the method, the power load is introduced to serve as a prospective index, correction is conducted in combination with the environment temperature, a predictive heat dissipation control model is constructed, the system can start heat dissipation adjustment before a large amount of heat is generated, and therefore smooth and stable control over the equipment temperature is achieved.

A temperature control device includes a temperature detector, a difference operation unit, a controller, a saturation processing circuit unit, a rewritable storage unit, and a conversion unit. The difference operation unit operates a digital value corresponding to a difference value between a detected temperature value and a target temperature. The controller calculates a manipulated variable using the digital value operated by the difference operation unit. The saturation processing circuit unit includes a digital circuit to limit an output value of the controller to a pre-set upper limit value. The rewritable storage unit stores the upper limit value read from a storage area of the rewritable storage unit and input into the saturation processing circuit unit. The conversion unit converts the output value of the saturation processing circuit unit into an analog signal to output the converted value as a control command value to the heater.

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 the technical field of temperature control, in particular to a temperature controller nonlinear compensation control method and system based on fuzzy logic, and the method comprises the steps: constructing a double-closed-loop control architecture of a temperature control system; main control data is generated through the outer loop fuzzy decision layer, and feedforward compensation and lag compensation processing is carried out on the main control data through the inner loop compensation execution layer to obtain a final control quantity; and adjusting operation parameters of the temperature control system according to the final control quantity. Through a double compensation mechanism of feed-forward compensation and lag compensation, accurate pre-judgment and self-adaptive adjustment of control data are realized, and the problems of control lag and nonlinear instability caused by sensor delay, inertia of an execution mechanism and environmental interference in a temperature control system are systematically solved.

The invention relates to the technical field of temperature control, in particular to an enzyme reaction kettle self-adaptive temperature control system and method, and the system comprises a temperature detection module, a temperature control module, a heat conduction oil flow control module and an automatic regulation and control module; temperature data of a reaction kettle are collected in real time through a temperature detection module, a temperature control module adjusts parameters based on a PID algorithm and fuzzy logic to generate a control instruction, and a heat conduction oil flow control module adjusts flow by combining double-closed-loop cascade control with a feedforward compensation algorithm, so that thermal inertia lag is shortened. And the automatic regulation and control module generates optimized process parameters based on a reaction kinetic model and a genetic algorithm, and dynamically adjusts a temperature set value. The control method comprises the steps of temperature data acquisition, PID control instruction generation, conduction oil flow coordinated regulation, process parameter optimization and the like. The problems that in the prior art, temperature control precision is insufficient, conduction oil flow control is not accurate enough, and technological parameters cannot be automatically regulated and controlled are solved.

The invention relates to the technical field of semiconductor lasers, in particular to a temperature regulation and control device and method for a semiconductor laser, and the method comprises the steps: obtaining different types of monitoring curves, and analyzing the complex change characteristics of operation temperature and operation power according to the monitoring curves, so as to determine a heat accumulation effect index; determining the degree of efficiency loss caused by the heat accumulation effect by analyzing the correlation among the operation temperature change, the operation power change and the threshold current change and combining the heat accumulation effect index; then determining a temperature regulation and control demand coefficient by analyzing the temperature feedback control precision condition and the thermal dynamic characteristic of the semiconductor laser and combining the efficiency loss degree; and finally, a default proportional gain value in the PID control module is adjusted by using the temperature regulation and control demand coefficient to obtain an adjusted proportional gain value so as to carry out temperature regulation and control on the semiconductor laser, which is beneficial for the temperature regulation and control device to respond to the change of the working environment of the laser in time.

The invention relates to the technical field of microcrystalline glass detection, in particular to a microcrystalline glass panel structural strength detection device. Comprising a driving mechanism, an impact head, a test board, a first container and a second container. The test bench is used for installing a to-be-tested microcrystalline glass panel. The driving mechanism is in transmission fit with the impact head, so that the impact head can periodically impact a to-be-tested glass ceramic panel mounted on the test board. The impact head is provided with an internal flow channel. The first container is used for containing hot fluid media, and the second container is used for containing cold fluid media. And the first container and the second container are communicated with the internal flow channel through a switch control mechanism. The switch control mechanism is used for alternately communicating one of the first container and the second container with the internal flow channel so as to adjust the temperature of the impact head. The structural strength of the microcrystalline glass panel can be specifically tested according to the application scene in the actual use process, the integrating degree of the test process and the actual application scene is higher, and the test result has higher reference value.

The invention relates to an anti-crack construction method for anti-radiation mass concrete. The anti-crack construction method comprises the following steps: 1) designing a computer tall formwork system and performing computer simulation construction; (2) optimally designing a concrete mix proportion; (3) a wall body cooling water circulating pipe and a temperature detector are installed; (4) mass concrete pouring process quality control; 5) starting a water cooling system; and (6) concrete curing. According to the method, safety calculation software is used for carrying out safety load simulation calculation, BIM simulation construction, test optimal mix proportion, raw material management and control and electronic temperature monitoring, and analysis is carried out according to the real-time temperature monitoring condition; the cooling pipe circulating water is used for reducing internal hydration heat, the geotechnical cloth and the film cover are used for heat preservation, moisture preservation and maintenance, all-around and whole-process quality control measures are taken, and it can be ensured that the mass concrete does not have the quality problems of cracking, leakage and the like which affect the radiation protection performance.

A fabric heating barrel with a graphene heater is configured to heat fabrics and includes: an outer shell, serving as a heating container and a heating cavity disposed inside the outer shell. A graphene composite heating film is attached to at least one of an outer wall of the heating cavity and a bottom of the heating cavity. The graphene composite heating film is configured to heat the heating cavity. A controller and a temperature sensor are disposed between the outer shell and the heating cavity. The temperature sensor is configured to sense a temperature of the graphene composite heating film, and the controller is electrically connected to the temperature sensor and the graphene composite heating film. Due to the far-infrared and thermal radiation heating principle of the graphene, the temperature is more uniform. Compared to a traditional resistance heating member, the graphene composite heating film is more energy-efficient.

This invention relates to the field of battery testing technology and discloses an ice-water impact testing system, comprising: a temperature control unit for regulating the temperature of the testing environment, the temperature control unit including a liquid nitrogen cooling device and an electric heating device, and using a PID algorithm to regulate temperature fluctuations within ±0.5℃; an impact unit for simulating water flow impact and mechanical vibration of battery samples during testing, the impact unit including a high-pressure water pump and a mechanical vibration device, capable of adjusting water flow pressure and vibration acceleration; and a data acquisition and analysis module for real-time acquisition of temperature, humidity, pressure, and battery voltage data during the testing process, and evaluating battery performance through intelligent analysis algorithms. By combining the liquid nitrogen cooling device and the electric heating device, and employing a PID control algorithm, precise adjustment of the temperature control unit is achieved, enabling rapid temperature switching within the range of -40℃ to 80℃, while maintaining temperature fluctuations within ±0.5℃.

The invention relates to the technical field of thermal management control, and particularly discloses a thermal management controller regulation and control method and system based on dynamic thermal inertia prediction. According to the method, the dynamic thermal inertia model is constructed through system identification, and the future temperature field evolution and thermal accumulation risks of the system are accurately predicted. On the basis, a multi-layer nested compensation strategy composed of pre-compensation, main compensation and residual compensation is generated in three dimensions of a compensation angle, a compensation order and a compensation domain, and prospective accurate intervention is achieved. In order to evaluate the control effect, an artifact intensity entropy value is introduced as a quantitative index, and a model and a strategy are corrected in real time through an outer ring optimization mechanism to form self-correction. When continuous thermal unbalance caused by hardware design defects is detected, the system can further start hardware cooperative regulation and control, local heat capacity and a heat dissipation path are optimized fundamentally, cross-level cooperative optimization from a control algorithm to a physical structure is achieved, and finally high-precision, low-energy-consumption and self-adaptive system-level thermal management is achieved.

The present invention discloses a single-photon detector refrigeration control method and system that is adaptive to temperature and TEC performance changes. The method limits the maximum operating voltage of TEC, monitors the TEC operating voltage and refrigeration temperature in real time, and automatically adjusts the target temperature and APD working bias voltage according to the monitoring results, effectively ensuring that the single-photon detector can still work stably when the working environment temperature is too high or the TEC performance is degraded. At the same time, when the ambient temperature is allowed to return to the normal temperature range, the TEC's refrigeration target temperature can be restored to the initial refrigeration target temperature and the APD's working bias voltage can be adjusted synchronously, so that the performance indicators of the single-photon detector, such as the detection efficiency, dark count rate, and after-pulse probability, will be synchronously restored to normal. In this way, the service life of TEC and single-photon detector equipment can be effectively improved, and the environmental adaptability of the single-photon detector can be improved.

The invention relates to a high-precision self-adaptive temperature regulation and control system for a medical instrument. The system comprises a feature analysis module which collects a multi-dimensional temperature information set with a timestamp and deduces a temperature space-time change trend; and the temperature prediction module generates an optimized temperature distribution diagram by using a Kalman filtering algorithm based on the trend. The temperature deviation value of each area is compared with a preset threshold value, if the deviation exceeds the standard, a dynamic parameter configuration table is generated, and an adaptive power regulation scheme is formulated. And the regulation and control execution module regulates and controls the equipment power according to the regulation scheme to obtain an updated temperature monitoring data set. By analyzing the relevance between the data set and the multi-dimensional temperature information set, a stability optimization parameter is generated, so that a control rule of a fuzzy logic algorithm is adjusted, and a self-adaptive temperature regulation and control scheme is formed. According to the system, accurate prediction, regulation and control of the temperature are realized. The adaptive capacity of the system is improved, and the stability and reliability of temperature regulation and control can be improved by dynamically optimizing the control rule.

The invention provides a temperature control method and system for instant cubilose preparation, and the method comprises the steps: carrying out the drift compensation of all temperature distribution information through a temperature effect in each preparation process, and obtaining a temperature drift amount; determining disturbance response characteristics of the preparation temperature to the preparation quality of the instant cubilose in industrial preparation according to the temperature drift amount and all the preparation results, determining all abnormal supervision nodes according to the temperature drift amount and the temperature monitoring state, and further determining the temperature tolerance of the preparation of the instant cubilose in the temperature monitoring state; and according to the disturbance response characteristics and the temperature tolerance, determining a temperature adjustment interval of the instant cubilose in each preparation process in industrial preparation, and further performing interval limitation on the temperature during preparation of the instant cubilose based on each temperature adjustment interval. On the basis of the scheme, abnormal limitation on the preparation temperature in the preparation process of the instant cubilose can be realized, so that the consistency of the preparation result of the instant cubilose can be improved.

The invention provides a Chinese herbal medicine raw material industrial extraction process temperature monitoring system, and relates to the technical field of traditional Chinese medicine industrial extraction, and the system comprises a multi-dimensional sensing module, an intelligent control module, a self-adaptive execution module, a data co-processing module and an anti-interference module. The multi-dimensional sensing module synchronously collects temperature field distribution and extracts environment and effective component feedback parameters; a dynamic temperature control model based on a heat sensitivity feature library and a process knowledge library is built in the intelligent control module, and multi-source data is coupled and analyzed to generate an adaptive regulation and control instruction; the self-adaptive execution module regulates the heat transfer medium, the heating unit and the cooling unit in a closed-loop linkage manner; the data co-processing module is used for realizing data storage, correlation analysis and full-link tracing; and the anti-interference module suppresses data noise. The system solves the problems that an existing system is single in monitoring dimension, poor in adaptability and weak in interference resistance, temperature control precision and product batch consistency are improved, it is guaranteed that the extraction process is stable, and reliable support is provided for industrial extraction of Chinese herbal medicine materials.

The invention discloses a real-time regulation and control method for a pouring temperature field of a concrete panel during a construction period. The real-time regulation and control method comprises the following steps: step 1, establishing a temperature-crystallization-crack multi-physics field coupling model; 2, outputting a regulation and control instruction according to the coupling model, and adjusting the temperature field distribution; 3, optimizing a temperature regulation and control strategy based on model iteration; 4, outputting a temperature regulation and control result and generating an intensity state evaluation report; according to the method, the strength of the concrete panel is analyzed through the multi-physical coupling model, the distribution proportion of the cooling water flow and the heating power is dynamically adjusted, and real-time control over the pouring temperature field is achieved; a temperature gradient model is constructed through physical parameters of concrete, ambient temperature fluctuation and an exponential decay function, and the gradient temperature of each level of the concrete panel is predicted and calculated according to the surface temperature of the concrete panel, so that the temperature difference between the levels is controlled, cracks in the concrete panel are reduced, and the quality of the concrete panel is improved. And the strength of the concrete panel is effectively improved.

The invention provides a low-carbon control method and system for a data center, and belongs to the technical field of data centers, and the method specifically comprises the steps: determining predicted temperatures of the data center at different moments under different temperature control strategies based on weather data and predicted operation data of a server of the data center in different time periods, according to the distribution data of the temperature anomaly moments in the different divided time periods, determining temperature anomaly coefficients in the different divided time periods, and when it is determined that the temperature anomaly time periods do not exist under the temperature control strategy based on the temperature anomaly coefficients, obtaining predicted operation data of the server in the different divided time periods, and the matching control strategy of the data center is determined by combining the temperature abnormal coefficients and the energy consumption in different divided time periods under the temperature control strategy, and the temperature control of the data center is performed by using the matching control strategy, so that the energy consumption of the temperature control of the data center is reduced.

The invention discloses an outdoor display temperature control method and system, and the method comprises the steps: obtaining and analyzing the current body temperature data of an outdoor display, and setting an initial heat dissipation working condition of a heat dissipation device according to an analysis result; based on the historical meteorological data of the surrounding environment and a preset neural network model, constructing a prediction model for prediction to obtain environment temperature prediction data; analyzing the environment temperature prediction data, determining environment temperature change characteristics, and evaluating the environment temperature change based on the environment temperature change characteristics to obtain an environment temperature evaluation value; and determining a working adjustment coefficient based on the environment temperature evaluation value, and adjusting and controlling the initial heat dissipation working condition of the heat dissipation device based on the working adjustment coefficient. By combining the machine body temperature data and the environment temperature prediction data, accurate and intelligent adjustment of the working condition of the heat dissipation device is achieved, it is ensured that the outdoor displayer can keep the proper working temperature under different environment conditions, the heat dissipation efficiency of the outdoor displayer is improved, and stable operation is ensured.

The invention discloses a fermented cod sausage production automatic control method and system based on artificial intelligence, and relates to the technical field of production control. Comprising the steps that a target demand is obtained, the target demand comprises the handover remaining time and the fermentation state, the daily average fermentation degree is obtained based on the target demand, the daily average fermentation item is obtained, and the daily average fermentation item is used for representing the daily fermentation degree under the handover remaining time and the fermentation state needing to be achieved. The daily average fermentation degree is calculated by obtaining the handover remaining time and the fermentation state, the daily average fermentation degree is divided into a plurality of intervals according to the daily average fermentation degree, the actual fermentation data of each interval is obtained, the actual fermentation degree and the daily average fermentation degree of each interval are sequentially compared, the fermentation temperature is adjusted, and the fermentation efficiency is improved. After the cod sausage is combined and fermented in a complete interval, the cod sausage is kept consistent with the daily average fermentation degree, and the optimal handover time of the cod sausage is ensured.

The invention discloses an AC / DC equipment high-temperature self-adaptive heat dissipation regulation and control method based on multi-physics field coupling, and relates to the technical field of equipment high-temperature self-adaptive heat dissipation regulation and control, and the method comprises the following steps: testing a relation between an operation parameter and the temperature of different equipment components in AC / DC equipment, and naming the relation as a temperature rise relation; analyzing the relationship between the heat dissipation power and the heat dissipation efficiency of the heat dissipation device, and naming the relationship as a heat dissipation relationship; the temperature of the equipment component is predicted based on the temperature rise relation, and the predicted temperature of the equipment component is obtained; based on the predicted temperature of the equipment assembly and the heat dissipation relation, the heat dissipation power of the different heat dissipation devices is subjected to self-adaptive regulation and control; the method is used for solving the problems that according to an existing equipment high-temperature self-adaptive heat dissipation regulation and control technology, a regulation and control method for the heat dissipation power is too traditional, regulation and control for the heat dissipation power needed by different parts are not accurate enough, and consequently all the parts in the equipment cannot achieve the optimal heat dissipation effect.

A method for controlling a data center, comprising a plurality of server systems, each associated with a cooling system and a thermal constraint, comprising: a concurrent physical condition of a first server system; predicting a future physical condition based on a set of future states of the first server system; dynamically controlling the cooling system in response to at least the input and the predicted future physical condition, to selectively cool the first server system sufficient to meet the predetermined thermal constraint; and controlling an allocation of tasks between the plurality of server systems to selectively load the first server system within the predetermined thermal constraint and selectively idle a second server system, wherein the idle second server system can be recruited to accept tasks when allocated to it, and wherein the cooling system associated with the idle second server system is selectively operated in a low power consumption state.

The invention relates to the technical field of electric heat tracing intelligent temperature control, and discloses a control box electric heat tracing band intelligent temperature control system and method. The method comprises the steps of collecting data of a plurality of temperature sensors in a control box, constructing a temperature sequential sequence, and forming a sequential diagram structure reflecting correlation strength among the sensors by calculating spatial proximity and time correlation. And inputting the sequential graph into a state space model, and dynamically adjusting a state transition matrix of the model according to an edge weight of the graph so as to accurately simulate a heat transfer dynamic process in the box. A state output by the model is separated into a periodic component and a trend component, the periodic component is matched with a reference pattern library to identify an abnormal fluctuation phase, and multi-scale decomposition and slope curvature analysis are performed on the trend component to quantify a change trend. According to the method, dynamic and accurate modeling of the complex thermal environment is realized, the temperature can be controlled more accurately, and abnormity can be warned in advance.

The invention relates to the technical field of power distribution cabinet temperature control, and discloses a self-adaptive heat dissipation power distribution cabinet temperature regulation and control method and system, and the method comprises the steps: obtaining a temperature distribution record which comprises a timestamp, a position identifier and a temperature value; performing data preprocessing on the temperature distribution record to obtain standard temperature data; performing dynamic change analysis on the standard temperature data to obtain temperature change characteristics; inputting the temperature change characteristics into a pre-constructed temperature change prediction model, and outputting future temperature data; performing risk assessment on the future temperature data, and judging and triggering a heat dissipation demand signal according to an assessment result; calling a pre-established heat dissipation resource allocation database according to the heat dissipation demand signal, obtaining an optimal equipment scheduling combination, and generating an equipment starting instruction set; and activating a corresponding heat dissipation equipment operation module through the equipment starting instruction set. According to the method, accurate and efficient temperature regulation and control are realized.

The invention relates to a chromatographic instrument temperature control method and system, an intelligent terminal and a storage medium, and relates to the technical field of chromatographic instrument sample separation.The method comprises the steps that the sample type of a preset sample is obtained; analyzing the sample type to determine a window heating rate and a window target temperature; acquiring a chromatographic column initial temperature of a preset chromatographic column; analyzing the initial temperature of the chromatographic column and the target temperature of the window to determine the temperature of the chromatographic column needing to be increased; analyzing the temperature required to be increased and the window heating rate of the chromatographic column so as to determine the heating time of the chromatographic column; and controlling a preset chromatographic column temperature regulation and control device to perform temperature control on the chromatographic column according to the chromatographic column heating time and the window target temperature. The method has the effect of improving the precision of the temperature retention time.

An apparatus is used for drying and / or styling hair. The apparatus provides improved mixing of air from a heater using an impeller. A hinge is ergonomically positioned relative to the center of mass of the device. The housing is sealed to prevent ingress of water into the housing.

The invention discloses a flexible sunlight greenhouse temperature control method, system and device and a storage medium, and relates to the technical field of greenhouse environment, the method comprises the following steps: calling a heat transfer model to carry out temperature field simulation calculation according to greenhouse internal thermal field distribution data to obtain a first predicted temperature value; calling a greenhouse temperature prediction model to perform time sequence analysis on the external environment temperature historical time sequence data to obtain a second predicted temperature value; performing data fusion according to the first predicted temperature value and the second predicted temperature value to obtain a comprehensive predicted temperature value; and according to a deviation value between the comprehensive prediction temperature value and a preset greenhouse air temperature target value, adjusting operation parameters of the greenhouse equipment. By simulating thermal field distribution in a greenhouse and processing time sequence data of an external environment, a deterministic rule and random fluctuation are covered, a deviation value with a target value is calculated according to an obtained comprehensive prediction value, and equipment is dynamically adjusted based on prediction deviation, so that ineffective energy consumption and equipment loss are reduced.