2422 results about "Thermal threshold" patented technology

The invention provides a smoke and fire detection method and system based on deep reinforcement learning and electronic equipment, and relates to the technical field of fire fighting. The method comprises the following steps: acquiring thermal imaging data of a forest area through a thermal imager, obtaining temperature distribution conditions of different positions, and determining position coordinates, the number and specific temperature values of temperature abnormal points for an area with abnormal temperature rise; if the temperature value of the temperature abnormal point exceeds a preset temperature threshold value, judging that the temperature abnormal point is a suspected fire point, and collecting a visible light video image of the area through a visible light camera according to the position of the suspected fire point; smog detection processing is carried out on the collected visible light video image, whether smog exists in the image is judged by analyzing the color, texture, motion and other characteristics of the image, and the concentration, morphological characteristics and diffusion speed of the smog are obtained; the meteorological parameters such as the wind speed and the wind direction of a fire occurrence area are obtained through the meteorological sensor, the meteorological parameters are input into the fire spreading model, and the spreading direction and the spreading range of the fire under the current wind field condition are simulated.

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 box-type transformer substations for energy storage, in particular to a temperature control system and a control method of a box-type transformer substation for energy storage. Comprising a temperature monitoring module, a grading threshold module, a speed regulation control module and a fault alarm module. The temperature monitoring module monitors the temperature in the transformer substation in real time to obtain accurate temperature, temperature deviation and temperature change rate, the grading threshold module is utilized to establish a grading temperature threshold model, the model is optimized and adjusted, and the speed regulation control module adopts a fuzzy control algorithm to control the speed of the transformer substation. The accurate correction of the initial rotating speed of the fan is obtained, the association rule of the temperature threshold value of hierarchical control and the speed regulation unit is set, the consistency of synchronous hierarchical switching and fan rotating speed regulation is achieved, hierarchical regulation and control of the fan are achieved, and on the premise that heat dissipation is guaranteed, electric energy consumption is reduced.

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 discloses an intelligent deicing method and system based on ultrasonic detection, a medium and equipment, and relates to the technical field of deicing. The intelligent deicing method based on ultrasonic detection is used for the intelligent deicing system and comprises the following steps that the surface temperature of an airplane is detected based on an infrared sensor, and the surface temperature value of the airplane is obtained; comparing the airplane surface temperature value with a temperature threshold value; if the aircraft surface temperature value is greater than the temperature threshold value, continuing to detect the aircraft surface temperature based on the infrared sensor; if the aircraft surface temperature value is smaller than or equal to the temperature threshold value, an ultrasonic pulse echo icing sensor is started to detect the icing thickness of the aircraft surface, and icing signal information is obtained; and based on the icing signal information, whether the automatic deicing system of the airplane is started for deicing treatment is judged. Through the steps, the deicing efficiency of the aircraft during flight is improved.

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.

The invention discloses a nail gun and a control method thereof, and the nail gun comprises a shell; the motor is arranged in the shell; the percussion assembly is arranged in a nailing period, can move from an initial position to a percussion position so as to knock out a nail to a workpiece, and can move from the percussion position to the initial position; the temperature detection unit is arranged to be capable of detecting the temperature of at least one position of the nail gun; the controller is at least connected with the temperature detection unit; the controller is configured to adjust a minimum nailing time interval of the nail gun when the temperature is greater than a temperature threshold.

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 discloses a device, a method and equipment for automatically setting a temperature threshold value of a cable joint, and belongs to the technical field of electric power facilities. The device comprises a cable parameter acquisition module used for acquiring working parameters and physical parameters of a cable; the environment parameter acquisition module is used for acquiring environment parameters of the cable; wherein the environment parameters comprise environment temperature and environment wind speed; the temperature monitoring threshold acquisition module is used for inputting the working parameters, the physical parameters and the environmental parameters into a pre-constructed temperature control model and generating a temperature monitoring threshold of the cable joint position according to an output result of the temperature control model; and the temperature monitoring threshold synchronization module is used for synchronizing the temperature monitoring threshold to the target temperature sensor. According to the technical scheme, intelligent monitoring of the temperature of the cable joint can be achieved through dynamic monitoring of the temperature of the cable joint, the accuracy of abnormal early warning is improved, and invalid inspection of workers caused by wrong information generated by wrong recognition is avoided.

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 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 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 relates to the technical field of crystal furnace control parameter optimization, and discloses a crystal furnace control parameter optimization method and system based on deep learning, and the method comprises the following steps: 1, obtaining temperature value data in a crystal furnace heating process, and analyzing the temperature value data to obtain a crystal growth state characterization value; and 2, comparing the crystal growth state characterization value with a crystal growth state characterization threshold value to generate a crystal growth state abnormal signal. The temperature value data of the crystal furnace is obtained and compared with the temperature threshold range, whether the temperature is abnormal or not is judged, the temperature abnormal data is obtained, and the crystal state characterization value is calculated based on the obtained temperature abnormal data, so that the crystal growth state in the crystal furnace can be indirectly judged through the temperature of the crystal furnace. The crystal growth state condition is judged through the crystal growth state characterization value, and a crystal growth state normal signal or a crystal growth state abnormal signal is generated.

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 discloses an overcharge control method and system for an electric vehicle, and relates to the technical field of overcharge control, and the method can accurately predict and evaluate the temperature change of a battery by collecting battery data in real time in the overcharge process and combining a normalized data set and a charging feature vector set. Particularly, by constructing a heat and temperature algorithm model, the system can predict the change trend of the battery temperature in the overcharge process. And when the predicted temperature value Tb exceeds the temperature threshold T, the system can immediately trigger an adaptive charging power and cooling system cooperation mechanism, and automatically adjust the overcharge power Pya and the cooling power Pcool. Through the mechanism, when the battery temperature is close to the safety upper limit, the overheating risk can be effectively avoided, and the safety of the charging process is ensured. According to the measure, the accuracy of battery temperature management is remarkably improved, the risk of battery damage caused by abnormal temperature is reduced, and the service life of the battery is prolonged.

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.

A fire detection and warning system includes a kitchen exhaust hood connected to an exhaust fan configured to ventilate convective heat and cooking fumes released by one or more cooking appliances installed under the kitchen exhaust hood, the kitchen exhaust hood having a plenum. A fire suppression system is operatively connected to the hood and positioned above the one or more cooking appliances and configured to be triggered by one or more fusible links with a predefined melting temperature. At least one temperature sensor is installed inside the plenum of the kitchen exhaust hood and provides temperature measurements to a control module. The control module is configured to generate a fire warning signal in response to a fume temperature reaching a predefined temperature threshold Tset for a predefined period of time Tdur, where Tset and the time Tdur are selected based on a melting temperature rating the fusible links.

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.

Methods, systems, and devices for dynamic voltage supply for memory circuit are described. An apparatus may adjust a supply voltage based on a process corner and a temperature of the memory system. An apparatus may include a memory array and a controller. The controller may determine a first temperature of the apparatus is less than a first temperature threshold at a first time. The controller may transition a voltage supplied to the controller from a first voltage level to a second voltage level based on determining the first temperature is less than the first temperature threshold. The controller may determine a second temperature is greater than a second temperature threshold at a second time. The controller may transition the voltage supplied to the controller from the second voltage level to the first voltage level based on determining the second temperature is greater than the second temperature threshold.

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 discloses a thermal management method and device for a liquid cooling energy storage system and electronic equipment, and belongs to the technical field of energy storage systems, and the method comprises the steps: obtaining the temperature value of each single battery in a battery stack corresponding to any liquid cooling unit according to a preset collection period; on the basis of the obtained temperature value of each single battery, when it is determined that the thermal management requirement is met, controlling a BMS management mode to be started; determining a target temperature parameter of the cell stack based on the obtained temperature value of each single cell; determining a target control strategy based on the target temperature parameter of the cell stack and a temperature threshold value corresponding to a preset control strategy; and if the current operation state of any liquid cooling unit meets the execution condition, controlling any liquid cooling unit to execute the target control strategy. And the BMS uniformly controls the liquid cooling unit corresponding to the whole battery stack to execute the target control strategy according to the battery temperature, so that the temperature rise between the battery clusters is consistent, the current between the clusters is consistent, and the performance of the whole energy storage power supply system is improved.

The invention discloses an energy consumption optimization method for intelligent temperature-control frequency-conversion refrigeration and fresh-keeping equipment. The method comprises the following steps: S1, mounting a camera on a door of a refrigerated cabinet, and mounting a temperature and humidity sensor in the refrigerated cabinet; s2, each refrigerating chamber of the refrigerated cabinet is partitioned according to the vertical sequence position of the storage space, and an air outlet is formed in each partition; s3, collecting temperature and humidity data in the refrigerating chamber, and establishing a data table; s4, the articles and the storage subareas placed in the refrigerated cabinet are analyzed through image recognition; s5, according to the analysis result of the step S4, the temperature change of the partitions is calculated, the temperature change is compared with a preset temperature threshold value of the refrigerated cabinet, and a difference value V0 is obtained; the problem that in the prior art, energy consumption of a control method of the refrigerated cabinet is high is solved, meanwhile, the purpose of uniform temperature distribution of the refrigerated cabinet is achieved, and through cooperation of the camera and the temperature and humidity sensor, temperature changes of objects and partitions can be accurately analyzed, and the cooling capacity requirements of all the partitions can be accurately calculated and reasonably distributed.