939 results about "Temperature difference" patented technology

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

The invention relates to the technical field of data processing, and provides a multi-mode water-cooling heat dissipation system and method.The thermal load urgency degree is generated by obtaining the temperature change rate and the thermal power density of a component in real time, the running state of the component is monitored, and a user scene identifier is output; comparing the temperature difference value of the cooling liquid at the inlet and outlet of the radiator with the cooling liquid flow to estimate the instantaneous heat dissipating capacity; predicting a temperature change track based on the thermal load urgency degree and the user scene identifier, calibrating the temperature change track in combination with the instantaneous heat dissipation amount, determining a candidate mode set and an optimization weight through the user scene identifier, and selecting a target heat dissipation mode; temperature distribution of different areas of the radiator is obtained according to the target heat dissipation mode so as to distribute the target rotating speed of the fan, respond to the local high heat load, control the multi-way valve to dynamically adjust the topological structure of the cooling liquid flowing path and distribute the cooling liquid flow, and deep cooperation of the fan and the cooling liquid is achieved.

The invention relates to a method for detecting surface cracks of a steel rail, which comprises the following steps of: controlling the environmental temperature difference change of the steel rail to enable thermal response to generate a hysteresis phenomenon, inducing slight asynchronous thermal fluctuation with discontinuous and asymmetric thermal diffusion in a local area of a material surface layer, and exposing a potential crack boundary; non-contact low-intensity laser thermal disturbance multi-angle scanning is used for executing a disturbance penetration test, non-structural thermal anomalies are removed, and a real crack area is determined; carrying out attenuation curve recording on the thermal response after multiple rounds of disturbance excitation, and reversely deducing the integrity degree of the microstructure below the crack according to the disturbance settlement time so as to judge the structural fatigue grade; environmental steady state comparison is carried out on the same detection area, through comparison of temperature and humidity, wind speed and radiation environment parameter changes before and after disturbance, if the crack area still continuously shows thermal response abnormity under a constant environment condition, it is confirmed that the thermal characteristic is caused by a structural crack, and otherwise, misjudgment caused by external accidental interference is eliminated.

The invention relates to the technical field of concrete curing, in particular to a concrete curing environment control system with intelligent temperature control and humidity adjustment functions. Comprising a data acquisition and storage unit; the regulation and control decision-making unit is used for calculating a deviation value between the current environment and a target maintenance condition through an improved sectional type PID (Proportion Integration Differentiation) regulation algorithm; a temperature and humidity execution unit; and a man-machine interaction unit. According to the invention, through the distributed air temperature and humidity sensor array and the embedded temperature sensor in the concrete, the air temperature and humidity of the curing space and the internal temperature data of the concrete are collected, and the initial setting stage, the final setting stage and the hardening stage are judged based on the internal temperature change rate and the internal surface temperature difference; the PID parameter adjustment interval corresponding to the concrete mark is called in combination with the stage, smooth parameter switching is achieved, in the concrete curing scene, the heat release rate and strength development requirements of different hydration stages can be accurately met, and the situation that a regulation and control strategy is disjointed with the actual concrete curing requirement is avoided.

The invention relates to the technical field of dew point measurement, in particular to an intelligent temperature control system and method based on a high-precision chilled mirror dew point meter, and the system comprises a chilled mirror temperature difference positioning module, a main signal selection module, a power response matching module, an interference airflow recognition module, and a current output instruction generation module. A cold mirror end temperature difference is obtained, a section and a lifting direction are judged, synchronous measuring points are screened, a minimum deviation signal is extracted, a power section is matched, a power-on instruction is constructed, a rheumatism disturbance level is identified, parameters are spliced to generate a conduction structure, and a cold mirror temperature control instruction is output. According to the method, section identifiers are constructed through temperature differences and temperature change directions, signals are screened based on time alignment, interference is avoided, power control positions section deviation directions through difference values, disturbance identification is combined with wind speed and humidity differences, disturbance levels are refined, power-on control generates time sequence instructions through multi-parameter splicing, instruction stability and control accuracy are improved, and the method is suitable for large-scale popularization and application. And dynamic closing logic is formed.

The invention relates to the technical field, in particular to an unmanned inspection method and system for a switch cabinet, and the method comprises the following steps: building an incidence relation between signal nodes through a graph neural network, improving the time sequence consistency of multi-source signals, enabling instrument reading and temperature and humidity signals to form a hierarchical structure under a unified time frame, and improving the accuracy of inspection. The logic association of state layering is enhanced, continuous sampling sequence features are extracted through a long-short-term memory network, the response sensitivity and time prediction capability to abnormal signal abrupt change are improved, amplitude matching of temperature difference and current signals is achieved under the same time index, early abnormal nodes are accurately recognized, and a dynamic positioning sequence is established. Through joint tradeoff of distance and energy consumption, path lengthens and energy peak values are reduced, task throughput and equipment availability are improved, timing sequence capture and trend judgment capabilities are enhanced in an anomaly recognition layer, and accuracy and continuity of inspection decision and reliability of safety assessment are integrally improved.

A detection method for a retail environment comprises providing a thermal camera in a fixed position relative to a monitoring area within a retail environment, such that a part of a field of view of the thermal camera includes a part of the monitoring area; capturing a series of images of a person in a known duration of time using the thermal camera; identifying, in each image of the series of images, the position of the person using a temperature difference to detect an edge of the person; identifying, in each image of the series of images, at least two of a head, a body, an arm and a hand of the person by detecting temperature gradients within an area bounded by the edge of the person; determining, for each image of the series of images, the position of said person's hand and / or arm relative to the monitoring area; and registering an event when said person's hand and / or arm is within the monitoring area.

The invention provides a water vapor interference resistant sensor air chamber and a dynamic dehumidification method thereof.The sensor air chamber is characterized in that an acquisition control module, a temperature acquisition assembly and a heating and heat preservation assembly are arranged in an air chamber structure assembly, and the acquisition control module is connected with the temperature acquisition assembly and the heating and heat preservation assembly; the heating and heat preservation assembly is arranged on the outer side of the sensor, the collection control module carries out data processing and regulation and control parameter calculation, and precise moisture-proof control is achieved. Meanwhile, the invention discloses a dynamic dehumidification method. In combination with the change of sensor signals and the moisture condensation temperature under different temperature conditions, the heating and heat preservation assembly is started to heat the air chamber, so that the temperature of the air chamber is always higher than the dew point temperature and is fixed as the temperature difference value of the air chamber temperature and the environment temperature, and the moisture is effectively prevented from condensing in the air chamber or interfering a detection signal; the problem that the sensor is prone to false alarm in the humid environment is solved, data are stable and reliable in the humid environment, and detection precision and stability are improved.

The invention discloses an air conditioner evaporator anti-freezing self-adaptive control method, and relates to the technical field of air conditioner evaporator anti-freezing, and the method comprises the steps: S1, data collection: obtaining an evaporator temperature field, environment temperature and humidity and compressor operation parameters through a distributed sensor array, S2, feature extraction: calculating a regional temperature difference gradient and a frosting rate prediction value based on temperature field data, s3, risk grade division, S4, intelligent decision generation, S5, driving execution, S6, real-time monitoring, S7, parameter iteration, and S8, mode switching. Through the steps S1, S2, S6 and S7, a self-learning system for data acquisition, feature analysis, effect feedback and model optimization is constructed, so that the system can continuously adapt to complex scenes such as evaporator performance attenuation and long-term environment change; through the steps S3, S4, S5 and S8, refined hierarchical management and control of risks and dynamic optimization of control parameters are realized, and cooperative adjustment of heating power and fan rotating speed and adaptive reduction of sampling frequency at low risk are combined.

The invention discloses a thermal insulation layer thickness determination method and system based on a phase change material. The method comprises the following steps: obtaining thermophysical parameters of a phase change material, and determining an applicable phase change material type in combination with temperature change characteristics of an application environment; after the phase-change material is applied, environment temperature data are collected, day and night temperature difference, seasonal change and sudden temperature fluctuation conditions are analyzed, and the heat adjusting requirements of the phase-change material in different time periods are calculated; and calculating the required thickness of the phase-change material according to the condition that the phase-change material is positioned on the outer layer or the inner layer of the thermal insulation layer on the basis of the calculated heat adjustment requirement, and performing optimization in combination with heat balance analysis. According to the invention, scientific calculation of the thickness of the phase change material is realized, so that the phase change material can provide effective heat storage and release under different environmental conditions, the problem of excessive use of the material or insufficient thermal insulation performance is avoided, and the thermal stability and energy-saving efficiency of the thermal insulation layer are improved.

The invention discloses an ultra-high voltage reactor shell convective heat transfer coefficient iterative calculation method and device, and the method comprises the steps: building a control equation of a temperature fluid field of an ultra-high voltage reactor, and building a function expression for obtaining a comprehensive convective heat transfer coefficient; the comprehensive convective heat transfer coefficient comprises a convective heat transfer coefficient under a natural convection condition and an equivalent radiation heat transfer coefficient, the comprehensive convective heat transfer coefficient is corrected step by step through multiple iterations based on a control equation of a temperature fluid field until the comprehensive convective heat transfer coefficient converges, the temperature difference between the wall surface and the external fluid is obtained, and the temperature difference between the wall surface and the external fluid is obtained. And taking the converged comprehensive convective heat transfer coefficient as a final convective heat transfer coefficient. According to the method, the equivalent radiation convective heat transfer coefficient is provided, the comprehensive convective heat transfer coefficient is obtained by combining the convective heat transfer coefficient under the natural convective heat transfer condition, and the accurate temperature difference between the wall surface and the external fluid is obtained through multiple times of iterative calculation.

The invention relates to the technical field of refrigeration energy efficiency monitoring of refrigeration houses, in particular to a dynamic monitoring system and method for refrigeration energy efficiency of a refrigeration house. A multi-objective optimization scheme analysis module in the system is used for analyzing the refrigeration energy efficiency of the refrigeration house based on the running state of each temperature zone of the current refrigeration house, the heat state of stored goods and an external electricity price signal; and by taking the minimization of the total operation energy consumption of the refrigeration house and the minimization of the temperature fluctuation of each temperature zone as optimization objectives, constructing a multi-objective optimization function, and generating at least one candidate energy-saving operation scheme in a future time window of a preset duration. According to the method, through multi-dimensional data perception, a digital twinborn model for specific characteristics of goods and refrigeration house scenes is established; a multi-objective optimization function with the lowest total energy consumption, the lowest temperature difference fluctuation of the temperature zone and the highest energy efficiency ratio of the system as the core is constructed; and a plurality of candidate energy-saving schemes are dynamically generated by using the function, and an optimal scheme is screened out through a normalized comprehensive evaluation system, so that clear energy efficiency data and optimization suggestions are provided for managers, and invalid energy consumption is avoided.

A heel backer shaper comprises a case, a last-compressing ironing base, a last rotation mechanism, a shaping wheel, an automatic selector switch, and a footboard. One side of the upper half of the case is not closed. The last rotation mechanism is disposed on the upper half of the case. The last rotation mechanism comprises a cylinder and a rotary table; the rotary table is disposed at the top of the cylinder; the last-compressing ironing base is disposed on the top inner wall of the case and right faces the rotary table. During heel shaping, the heel backer shaper can adjust the operating performances, such as the position of the shaping wheel on a backer, knocking force, ironing temperature and delay time, according to the quality conditions of a shoe so as to acquire optimal shaping effect; during normal working, the heel backer shaper can operate in an automatic manner; an electrothermal plate on the last-compressing ironing base is controlled via a three-compartment closed-loop controlled silicon voltage regulator, temperature control precision is greatly improved, a temperature difference can be controlled within a 10 DEG C range, and the plane of the shaped backer is flat, with clear edge and smooth wrinkle-free surface.

The invention discloses a mass concrete temperature measurement early warning method and system, and belongs to the technical field of building engineering construction, and the method comprises the following steps: arranging a plurality of temperature sensor nodes in concrete through three-dimensional distributed real-time temperature collection, and collecting temperature data; performing temperature field reconstruction by using an edge computing gateway to generate a three-dimensional temperature cloud picture in the concrete; using an LSTM neural network to predict a future temperature change curve; calculating the temperature difference and the temperature rise rate of each node and the surface layer in real time, and dynamically determining a threshold value; and triggering multi-stage early warning, automatically starting a cooling system and pushing alarm information. According to the system, high-precision reconstruction of a three-dimensional temperature field in concrete and accurate prediction of a temperature change trend can be realized, generation of temperature cracks is effectively prevented through dynamic threshold determination and a multi-stage early warning mechanism, and the safety and durability of a mass concrete structure are ensured.

The invention relates to the field of data processing, in particular to a method and system for analyzing the performance of a lightning protection device in a flammable and explosive place, and the method comprises the steps: firstly collecting resistance, temperature and humidity data in a preset number of days, and carrying out the preprocessing to construct a target resistance time sequence of each day; thirdly, clustering the days based on the day and night temperature difference, and dividing a plurality of periodic windows; secondly, decomposing the target resistance time sequence of all days, calculating the periodicity level and the abnormal degree of each layer, converting the periodicity level and the abnormal degree into weights, and performing weighted summarization to obtain a performance evaluation value; finally, if the value is smaller than or equal to a preset abnormal threshold value, it is judged that the device is abnormal. According to the method, the periodicity level and the abnormal degree of resistance change are comprehensively considered, the performance of the lightning protection grounding device can be comprehensively and accurately evaluated, potential abnormity can be found in time, and misjudgment or missed judgment caused by single-factor evaluation is avoided.

The invention discloses a method for actively regulating and controlling the temperature of an exhaust pipe under the sliding working condition of an engine, and relates to the engine control technology, the current working condition of the engine is recognized, and if the current working condition is the sliding working condition, an exhaust temperature increasing regulation and control mode is started; according to the exhaust temperature increasing regulation and control mode, a temperature rise demand target is calculated according to the temperature difference value between the current exhaust temperature of an exhaust pipe of the engine and the set target exhaust temperature, and a temperature rise control strategy is selected according to the temperature rise demand target and executed. The invention further discloses a system for actively regulating and controlling the temperature of the exhaust pipe under the engine sliding working condition. The exhaust temperature in the sliding process is increased, the cold and hot temperature difference of the exhaust pipe is reduced, and therefore the reliability of the exhaust pipe is improved.

The invention relates to the technical field of air conditioner control, in particular to an air conditioner control method and system based on multi-sensor fusion, a first temperature sensor obtains the temperature of a single point, and a second temperature sensor obtains temperature array data; based on a frame difference filtering algorithm, the number of indoor people and human body coordinate positions are detected, disturbance of the human body temperature to the environment temperature is filtered, the temperature of the first temperature sensor and the temperature of the second temperature sensor are fused through a weighted average method, and the indoor average temperature is obtained; and controlling the power of the compressor and adjusting the angle of the air guide strip according to the temperature difference between the indoor average temperature and the set temperature. Errors caused by a traditional single temperature measurement mode are effectively avoided, the indoor environment temperature detection precision is improved, the number of people in a room and human body coordinate position information can be detected in real time, interference of human body temperature on environment temperature measurement can be removed, the intelligent sensing capacity of an air conditioner system is achieved, and the indoor environment temperature detection precision is improved. And the somatosensory comfort of the user is improved.

The invention relates to a temperature control method of cooking equipment, on one hand, non-contact, non-intrusive, global and high-resolution perception of a temperature field of a target area in a cavity of the cooking equipment is realized by collecting multi-source temperature data and reconstructing temperature distribution of a reference temperature measurement plane parallel to a heating array; the problem of inaccuracy caused by dependence on finite point temperature measurement or simple coefficient estimation is solved; on the other hand, temperature deviation is calculated by coupling reconstructed temperature distribution and side wall temperature data, power is decided in combination with heat transfer characteristics in the normal direction of the heating array, accurate modeling and dynamic compensation of the heat transfer process in the three-dimensional space are achieved, and therefore the inherent temperature difference between the center and the edge of the cavity can be eliminated in a targeted mode; energy transfer loss caused by thermal resistance can be compensated; finally, through the step of independently controlling each heating unit according to the target power, a highly uniform and stable temperature field can be formed and maintained in the whole cooking process.

The invention discloses a temperature drift compensation method for an intelligent electric meter, and the method carries out the gradual optimization according to levels: constructing a basic temperature drift compensation model at the first layer, and preliminarily offsetting the influence of temperature on the measurement precision; in the second layer, a temperature change rate item is introduced into a compensation formula, the temperature change rate is calculated through a weighted sliding window algorithm, and an instantaneous metering error caused by local instantaneous temperature rise caused by sudden load change is compensated; in the third layer, temperature sensors are independently arranged in a high-heat area (a metering chip) and a low-temperature area (a current transformer) in the ammeter respectively, and a corresponding temperature drift compensation model is established based on temperature data of each area to adapt to the temperature difference of the areas; and the fourth layer respectively constructs deep learning networks for the high-heat area and the low-temperature area, inputs the temperature time sequence data of each area, the operation duration of the electricity meter and the environment temperature into the corresponding networks, and outputs model updating parameters to realize the dynamic updating of the model. According to the invention, the metering precision of the intelligent electric meter in steady and dynamic working conditions and long-term operation can be obviously improved.

The invention discloses a power component oscillation maintenance control method, a power component and a control device, and relates to the technical field of electronic equipment, the power component oscillation maintenance control method is applied to the power component, and the method comprises the following steps: obtaining temperature detection data of a plurality of preset areas of the power component; determining a target power module in the plurality of power modules when determining that the plurality of power modules are unstable in oscillation based on the temperature detection data of the plurality of preset areas; based on the temperature difference between the preset area where the target power module is located and other preset areas, determining a target heating piece arranged corresponding to the target power module in the plurality of heating pieces, and adjusting the heating power of the target heating piece until the oscillation of the plurality of power modules tends to be stable; wherein when oscillation of the multiple power modules tends to be stable, the temperature difference between the preset area where the target power module is located and other preset areas is not larger than the target temperature difference. The method is used for automatically regulating and controlling the temperature of a runner under a non-uniform thermal load and realizing oscillation maintenance control of a power assembly.

The invention relates to a charging over-temperature false alarm prevention control method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring temperature values of a plurality of charging seats on a pure electric commercial vehicle in real time; when it is detected that the temperature value of the first charging base exceeds a preset temperature change threshold value, the temperature difference values between the temperature value of the first charging base and the temperature values of other charging bases are determined; whether the temperature difference value exceeds a preset temperature difference value threshold value or not is judged; if the temperature difference values exceed the preset temperature difference value threshold value, whether the temperature difference values still exceed the preset temperature difference value threshold value or not is judged again after preset waiting time; after the preset waiting time, if all the temperature difference values still exceed the preset temperature difference value threshold value, it is determined that the temperature sensor of the first charging base breaks down, and the charging process continues to be maintained. According to the method, the real over-temperature condition and the temperature sensor fault condition in the charging process of the pure electric commercial vehicle can be effectively distinguished, so that charging interruption caused by the temperature sensor fault is avoided, and the charging efficiency and the operation efficiency of the vehicle are improved.

The invention relates to the technical field of heat pump control, and discloses a heat pump unit multi-mode water flow control method and related equipment. The method comprises the steps that the target outlet water temperature of a heat pump unit and a water pump adjusting mode are obtained, and the adjusting mode comprises a flow adjusting mode and a temperature difference adjusting mode; target control parameters are determined according to the temperature interval to which the target outlet water temperature belongs and the adjusting mode, the target water flow in the flow adjusting mode is decreased along with temperature rising, and the target inlet and outlet water temperature difference in the temperature difference adjusting mode is increased along with temperature rising; actual operation parameters are collected, current water flow is collected in the flow adjusting mode, and inlet and outlet water temperature is collected and temperature difference is calculated in the temperature difference adjusting mode; adjusting the water pump output ratio according to the deviation between the actual operation parameter and the target control parameter; and the target outlet water temperature is continuously monitored, and the steps are circularly executed until the machine is stopped. The problem that a single fixed control strategy cannot adapt to different working condition requirements is solved, and the safety and the energy efficiency of the system are both considered.

The invention relates to the technical field of industrial control, in particular to an error compensation method for numerical control machining of an automobile stamping die, which comprises the following steps of: acquiring temperature of a plurality of thermo-sensitive points of a numerical control machine tool and thermal displacement data of a tool nose; the effective thermal driving potential is calculated by considering the time lag effect of the temperature level and the historical temperature change; calculating a thermal phase direction gradient in combination with the temperature difference value and the nonlinear gain; combining the effective thermal driving potential and the thermal phase direction gradient into a feature vector to train a support vector regression model; and inputting the feature vector in real time to obtain a compensation value, and superposing the compensation value to the coordinate instruction by dynamic origin offset. The method can accurately reflect the thermal inertia, capture the dynamic evolution of the thermal state, comprehensively represent the thermal state to improve the adaptability of the model, and correct the thermal error in real time, thereby improving the machining precision and surface quality of the automobile stamping die.

The present application provides a temperature control method, an electronic device, and a storage medium. The temperature control method includes obtaining real-time environmental data of a plurality of areas in a building, and obtaining target temperatures of temperature control devices in different areas. The real-time environmental data includes temperature data and personnel activity data. Once a temperature change trend of each area and temperature difference information between different areas are determined based on real-time environmental data, a preset strategy prediction model is used to dynamically adjust operating parameters of the temperature control devices based on the temperature change trend, the temperature difference information and the target temperatures.

The embodiment of the invention provides a health assessment method for train bearings. The health assessment method comprises the steps that a bearing temperature data set collected from a plurality of bearings of a train during the travel of the train and an environment temperature data set around the train during the travel of the train are obtained; performing feature extraction on the bearing temperature data set to generate a first temperature feature set; calculating a difference value between each piece of bearing temperature data in the bearing temperature data set and corresponding environment temperature data in the environment temperature data set to generate a first temperature difference value set, and executing feature extraction on the first temperature difference value set to generate a second temperature feature set; and based on at least one of the first temperature feature set and the second temperature feature set, generating an evaluation result of the health state of each bearing in the plurality of bearings.

A flow detection device (10) and method for detecting fluid flow in a pipe system, comprising: a heating element (103) for supplying heat into the pipe system, a first temperature sensor (104a) and a second temperature sensor (104b) positioned either side of the heating element (103), and a processor (101), wherein: the heating element (103) and the first and second temperature sensors (104a, 104b) are configured to be mounted to an outer surface of a pipe contained in the pipe system, with the heating element (103), the first temperature sensor (104a) and the second temperature sensor (104b) being in thermal contact with the outer surface of the pipe, and the processor (101) is configured to detect fluid flow within the pipe system by monitoring the temperature difference between the first and second temperature sensors (104a, 104b) over a predetermined period of time.

The invention relates to a rotary valve electric heating device and a control method. The control method of the rotary valve electric heating device comprises the steps that a first temperature signal of an electric heating plate and a second temperature signal of a rotary valve are obtained; filtering the first temperature signal and the second temperature signal to obtain a first filtering temperature and a second filtering temperature, and calculating a corresponding temperature difference value according to the first filtering temperature and the second filtering temperature; judging that the second filtering temperature is lower than a lower limit threshold of a preset target temperature interval, and judging that the second filtering temperature is higher than an upper limit threshold of the preset target temperature interval; judging whether the temperature difference value exceeds a temperature difference threshold, and judging whether the first filtering temperature exceeds a safety upper limit temperature; and switching on the power supply of the electric heating plate and switching off the power supply of the electric heating plate. The precision of temperature regulation and control is guaranteed, the temperature of the rotary valve shell is close to the process requirement range, and the stability and safety of the operation process are improved.

A liquid-cooling dynamic flow control method includes performing by a control device: obtaining at least one temperature difference between a set temperature and at least one current operating temperature of at least one power component; obtaining a set of target control parameters corresponding to the at least one temperature difference according to a pre-stored parameter table, wherein the pre-stored parameter table records the correspondence between a plurality of preset temperature intervals and a plurality of sets of preset control parameters, and each of the plurality of sets of preset control parameters includes a proportional coefficient, an integral coefficient and a differential coefficient; using the target control parameter and the at least one temperature difference to obtain a heat dissipation control parameter; and adjusting a rotational speed of a liquid-cooling pump with the heat dissipation control parameter.

The invention provides a temperature regulation and control method, device and equipment and a storage medium, and the method comprises the steps: obtaining the real-time environment data of a plurality of regions in a building, and obtaining the target temperature of temperature control equipment in different regions, and the real-time environment data comprise temperature data and personnel activity data; utilizing a preset artificial intelligence model to predict a temperature change trend of each area based on the real-time environment data, and identifying temperature difference information between different areas; and dynamically adjusting operation parameters of the temperature control equipment based on the temperature change trend, the temperature difference information and the target temperature by using a preset strategy prediction model. According to the invention, real-time monitoring, intelligent analysis and dynamic regulation and control of the internal temperature of the building are realized, the internal temperature management efficiency and the living comfort of the building are improved, meanwhile, the energy consumption is reduced, and the energy utilization rate is improved.

The invention discloses a mass concrete cooling water flow control method and system and a storage medium, and relates to the technical field of engineering control, and the method comprises the following steps: collecting concrete internal temperature data and cooling water flow data and temperature data of each branch in a cooling water pipe network in real time; based on the collected concrete internal temperature data, establishing an exponential decay model, and predicting the temperature of each concrete area in a future preset time period; dynamically calculating an optimized flow set value required by each cooling water branch according to a heat balance principle; based on the optimized flow set value required by each cooling water branch, the opening degree of each branch control valve and the opening degree of a system water escape valve are dynamically adjusted through a cascade control strategy of flow and pressure, and control over the cooling water flow is achieved. Uniform and synchronous cooling of mass concrete can be achieved, the temperature difference between the inner surface and the outer surface is remarkably reduced, temperature cracks are effectively restrained, and the construction quality and the structural durability are improved.