645 results about "Heat load" patented technology

The invention is suitable for the technical field of machine rooms, and provides a machine room environment management and control method based on a digital twinning technology, which comprises the following steps: constructing a digital twinning machine room model based on a three-dimensional structure of a machine room and a machine room equipment layout; real-time load data of each IT device, real-time power data of each cooling device and environmental parameter data of each type of sensor are obtained, thermal load distribution of the machine room is predicted, a preset environmental control strategy is combined, corresponding working conditions are simulated and generated for the machine room in a digital twin machine room model, PUE values of the machine room under the working conditions are obtained through calculation, and the PUE values of the machine room under the working conditions are obtained. Dynamically adjusting an environment control strategy; running state parameters of the IT equipment and video image data in the machine room are obtained in real time, the running state parameters and the video image data are analyzed, and potential abnormal equipment and abnormal areas are determined in the digital twin machine room model. According to the invention, comprehensive optimization of machine room energy efficiency, operation and maintenance efficiency and environment resource configuration is realized, and the intelligent level of machine room management and control is improved.

The invention provides a liquid cooling fusion energy consumption adjustment optimization method and system based on dynamic adjustment, and the method comprises the steps: S1, obtaining the thermal load data of calculation equipment, the state data of a liquid cooling system, the state data of an air cooling system, and the constraint data of the system, and constructing a cooling fusion real-time state map; s2, performing calibration operation on the cooling prediction model based on the cooling fusion real-time state atlas, after calibration is completed, extracting cooling key dynamic feature vectors, obtaining short-time cooling prediction data based on the cooling prediction model and the cooling fusion real-time state atlas, and constructing a cooling conflict objective function; s3, obtaining a cooling random sample set, performing initialization operation on a PSO algorithm based on the cooling random sample set, and generating an optimal control parameter combination; and S4, the cooling system is controlled in real time based on the optimal control parameter combination, the step S1 to the step S4 are executed in a circulating mode, and by means of the method, optimal energy consumption control can be found in real time under the condition that the cooling capacity of the cooling system is kept.

The invention discloses a multi-parameter MPC two-phase liquid cooling energy efficiency optimization distribution control system and method, and relates to the technical field of liquid cooling energy efficiency optimization. The multi-parameter MPC two-phase liquid cooling energy efficiency optimization distribution control system and method comprises the following steps: S1, collecting and preprocessing two-phase liquid cooling control data; s2, the thermal load level of each area is evaluated periodically, a discrete time linear state space model is constructed, and the thermal load change rate is extracted; s3, the cold distribution amount of each area is quantified periodically, the pump speed and the valve opening target value are calculated, and an adjustment control instruction is generated; and S4, high heat risk and low heat stability areas are recognized, the cooling capacity compensation requirement is evaluated, a cooling capacity enhancement and recovery distribution value is output, and a corresponding control instruction is generated. The problems that an existing two-phase liquid cooling system generally only depends on temperature feedback for adjustment, so that cooling capacity distribution response lags behind, a short-time overheating phenomenon is prone to occurring in a high-heat area, and cooling capacity waste exists in a low-heat area at the same time are solved.

The invention relates to the technical field of energy consumption simulation, in particular to a simulation method and system based on BIM building energy consumption, and the method comprises the following steps: importing structural data in a BIM building model, recording the actual sizes and material characteristic information of building walls, windows and floors, and generating a building structure parameter table through parameter extraction and data integration. According to the method, the BIM technology and the energy consumption simulation process are utilized, the accuracy of building energy consumption prediction and the practicability of operation are remarkably improved, the building structure parameter table is constructed, the thermal bridge effect is deeply analyzed, so that thermal performance data are more accurate, dynamic adjustment of actual climate change parameters is provided in thermal load simulation, the simulation adaptability is improved, and the simulation efficiency is improved. According to the method, the consistency of an energy consumption prediction result and an actual climate condition is ensured, the simulation precision and practicability are ensured through continuous matching and iterative optimization of actual data and a simulation result, powerful data support is provided for energy efficiency management and optimization, an energy-saving target is helped to be achieved, and the environmental performance of a building is optimized.

The invention provides a task execution method which can be applied to the technical field of server energy efficiency improvement. The method comprises the following steps: processing current operation parameters of a server to obtain current operation data; according to the current operation data and first historical operation data of the server, predicting energy consumption and response duration of the server in a predetermined time period to obtain a prediction result; according to the prediction result, adjusting the initial task allocation scheme until an evaluation index based on the adjusted task allocation scheme meets a predetermined index condition, and obtaining a target task allocation scheme; and according to the expected heat load obtained based on the prediction result and the environmental data of the data center where the server is located, controlling cooling equipment associated with the data center to operate until the environmental data of the data center meets a predetermined environmental condition, so that the server executes the target task allocation scheme under the predetermined environmental condition. The invention further provides electronic equipment, a storage medium and a program product.

The invention relates to a combustion chamber flame tube and a cooling hole distribution optimization method thereof. The combustion chamber flame tube comprises the first tube wall and the second tube wall, the cooling hole with the large first included angle is formed in the high-heat-load area, so that the large included angle is formed between the flowing direction of cooling air introduced by the cooling hole and the main flow direction, the cooling air is not prone to converging into the main flow, and the cooling air can be better attached to the wall face of the high-heat-load area; and a cooling air film with a large contact area with the inner wall of the barrel is formed, and the risk of local high-temperature ablation caused by insufficient cooling of a high-heat load area is reduced. The cooling holes with the small first included angle are adopted in the low-heat-load area, so that the included angle between the flowing direction of cooling air introduced by the cooling holes and the main flow direction is small, the cooling air is better converged with the main flow, the low-heat-load area is prevented from being overcooled, the temperature distribution of the inner wall of the flame tube is uniform, and the service life of the flame tube is prolonged. The problems of thermal fatigue and the like caused by overlarge temperature gradient are solved, and the risk of failure of the flame tube is reduced.

The invention provides a boiler combustion state visualization method, which comprises the steps of embedding a plurality of thermocouple temperature sensors in gaps of refractory bricks on the inner wall of a boiler hearth, acquiring temperature data of the hearth at different depths in real time, and transmitting the temperature data to a data acquisition terminal through a wireless communication module; fitting the normalized temperature data matrix by adopting a three-dimensional thin-plate spline interpolation algorithm to generate a hearth three-dimensional real-time temperature distribution model, performing mesh generation on the three-dimensional temperature distribution model by combining hearth geometric structure parameters obtained from computer aided design software, and constructing a hearth temperature finite element model; the hearth temperature finite element model is imported into ANSYS finite element analysis software, hearth wall surface material attributes and combustion heat load boundary condition parameters are set, transient thermal analysis of a hearth temperature field is carried out, and a temperature estimation value of any position of the hearth changing along with time is obtained.

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 discloses a laser cladding temperature field analysis method based on a finite element simulation method. A metal flat plate is used as a research object. ANSYS software is adopted for simulation. A laser cladding process is simulated by constructing a finite element model and a refined mesh in combination with a moving Gaussian heat source and birth-death unit technology, and simulated laser heating is applied to the surface of a part as a thermal load. The ANSYS processing unit calculates a simulation result, and the postprocessor displays temperature field distribution. Simulated and actual coating cross section molten pool shapes are compared, it is found that the size of a simulation model is highly consistent with the size of an actual molten pool, the maximum error is only 9%, and the reliability of numerical simulation is verified. According to the method, a solid theoretical basis and an effective simulation means are provided for the metal laser cladding process, the process research level is improved, and the development cost is reduced. The method has an important value for practical engineering application, and provides a scientific basis for optimizing the laser cladding technology.

The invention discloses a micro-channel liquid cooling method, device, equipment and medium for heat dissipation of an integrated circuit chip, and the method comprises the steps: collecting temperature data of different depths of the surface and the interior of the chip in real time through a temperature sensor array, an embedded temperature probe and an infrared detector, and generating a three-dimensional temperature field matrix; carrying out region division according to the microchannel physical layout of the chip, mapping a three-dimensional temperature field matrix, and generating a region temperature field matrix; calculating a thermal load change rate of the regional temperature field matrix, and generating a main flow regulation parameter by adopting a PI D algorithm based on the change rate; calculating branch flow adjusting parameters by combining the temperature field matrixes of the adjacent areas and a pre-constructed topological association table, and fusing the main flow adjusting parameters and the branch flow adjusting parameters to generate a flow adjusting quantity instruction. According to the invention, dynamic and accurate regulation and control of chip heat dissipation are realized, and the heat dissipation efficiency is effectively improved.

The invention relates to the technical field of equipment parameter optimization, and discloses a liquid cooling system parameter optimization method and system for a data center. The method comprises the steps of performing wavelet noise reduction processing on thermal load data of equipment, and constructing a time sequence heat generation model; the thermodynamic model and the time sequence heat generation model are fused to generate a comprehensive heat model, an objective function and constraint conditions are set, and a parameter combination is output; the parameter optimization model generates a standard parameter combination based on the parameter combination, the standard parameter combination is substituted into the parameter optimization model for evaluation, and an optimal parameter combination is output; the operation parameters of the liquid cooling system are adjusted in real time, the actual system operation data of the liquid cooling system are collected, the actual system operation data are compared with the expected equipment thermal load data of the data center, the parameter deviation is obtained, and the operation parameters are dynamically adjusted based on the parameter deviation. According to the invention, the efficiency and accuracy of parameter optimization of the liquid cooling system are improved.

The invention relates to the technical field of intelligent building heat load prediction and heat balance regulation and control, and discloses an intelligent building heat balance dynamic regulation and control method and system based on load prediction, and the method comprises the steps: constructing a time-frequency causal double-flow analysis network, mutual enhancement of the time-frequency characteristics and the causal relationship is realized; designing a hierarchical causal discovery algorithm, and mining a multilevel causal structure; developing a causal enhanced time-frequency representation learning method, and fusing time-frequency and causal information; establishing an intervention decision framework based on anti-fact analysis, and evaluating an intervention effect; an abnormal mode self-evolution recognition system is realized, and new abnormal modes are continuously learned; an interpretable abnormity diagnosis mechanism is developed, and a clear diagnosis report is provided; according to the method, the thermal load prediction accuracy is improved, the abnormal early warning capability is enhanced, the intervention efficiency is improved, the system interpretability is enhanced, and the optimization of the energy utilization efficiency is realized.

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 a two-stage robust optimization configuration method of an integrated energy system and related components, and belongs to the technical field of integrated energy system optimization, and the method comprises the steps: constructing output models of a plurality of devices based on the integrated energy system; determining an optimization target based on the operation cost of the integrated energy system, and constructing a two-stage robust optimization configuration model according to the optimization target; a column sum constraint method Camp is adopted; and solving the two-stage robust optimal configuration model by the CG to obtain an optimal configuration result of the integrated energy system. According to the method, the conservative degree of the system can be flexibly adjusted, and a conservative economic optimal solution which still meets the safe operation constraint of the system in a severe environment is provided for investors; a near-zero-carbon electricity-heat-cold comprehensive energy system model is provided, an air source heat pump is adopted for providing cold / heat loads, fossil fuel is prevented from being used, and carbon emission is effectively reduced.

The invention discloses a heat supply load prediction system, and relates to the technical field of heat supply prediction. The data acquisition and fusion module is used for acquiring multi-source heterogeneous data in real time and integrating the acquired multi-source heterogeneous data into a data set with a uniform format; the feature engineering module extracts key features influencing the heat supply load, and a feature subset with the highest prediction value is screened out through a feature selection method and serves as input of a deep learning model; constructing a deep long-short-term memory network model based on an attention mechanism, and performing model training through the training data set; the real-time prediction and adaptive adjustment module receives new data acquired by the data acquisition and fusion module in real time, and inputs the new data into the trained deep long and short term memory network model based on the attention mechanism for real-time prediction of the heat supply load; by integrating multi-source heterogeneous data and utilizing an advanced deep learning model, accurate prediction of the heat supply load is realized, and the method has real-time learning and adaptive adjustment capabilities.

The invention discloses a shock wave heat loading high-temperature wind tunnel and a test method, and relates to the technical field of high-temperature wind tunnel test equipment. The shock wave heat loading high-temperature wind tunnel comprises a shock tube, a wind tunnel test system, a pressure acquisition system and an air intake and exhaust system; a high-temperature and high-pressure gas source is obtained in a secondary shock wave reflection heating mode, and the total temperature of the obtained heating gas source is higher; the high-temperature wind tunnel realizes gas heating and pressurization completely through shock wave flow, extra electric power and gas requirements are not needed, and the cost of a single test is lower; the high-temperature wind tunnel test gas is premixed, so that the components of the test gas can be accurately controlled, and the purity of the components of the test gas is ensured; the device can obtain a high-temperature high-pressure subsonic flow field and even a supersonic flow field covering wide-range working conditions, can be used for visualization test diagnosis of spray fuel atomization and spontaneous combustion processes under high-temperature crosswind, accurately characterizes physical and chemical characteristic parameters such as fuel atomization characteristics, self-ignition characteristics, flame propagation characteristics and the like, and has a wide application prospect. And test data support is provided for engine combustion chamber spray atomization combustion organization.

The invention discloses an air pressure-boiling point self-adaptive regulation and control system and method of an energy storage immersed phase change liquid cooling system, and relates to the technical field of energy storage systems. The method comprises the following steps: calculating a thermal load of a system in real time, performing multi-objective optimization grading, and dynamically determining an optimal boiling point set value under a current working condition; resolving and obtaining a target air pressure set value by using the air pressure-boiling point relation mapping library; an improved composite control algorithm integrating feedforward control, fuzzy adaptive PID, integral saturation resistance and change rate limitation is adopted to drive an air pressure regulation execution mechanism, and regulation and control of the air pressure in the system are achieved. The system and the method have the advantages of high control precision, high response speed, good stability, high adaptability and the like.

The invention relates to the technical field of computer aided design, in particular to an energy-saving building design method based on digital simulation, which comprises the following steps: analyzing air velocity, temperature gradient, density and pressure distribution based on indoor aerodynamic parameters, identifying air vortex structure characteristics, and generating an energy-saving building environment data set. According to the method, aerodynamic characteristics in a building are accurately recognized, the vortex structure analysis capacity is improved, the air flowing path is optimized, aerodynamic parameters are combined, thermal resistance and heat conduction materials are matched, the building envelope layer is adjusted, heat flow transmission is guided, heat loss is reduced, the heat energy utilization rate is increased, and the spectral characteristics of the materials are adjusted according to illumination redundancy; the lighting efficiency is optimized, the heat load is reduced, outer wall heat transfer is optimized in combination with airflow characteristics, the ventilation rate is dynamically regulated and controlled, airflow short circuit is avoided, heat flow, illumination and ventilation parameters are integrated, precise optimization of building energy consumption is achieved, and the energy efficiency regulation and control level is improved.

The invention discloses a comprehensive energy low-carbon optimization scheduling method and system based on a master-slave game. The method comprises the following steps: constructing a hydrogen-containing comprehensive energy system model, and inputting data of an external energy supply side, energy conversion and energy storage equipment and a load side to obtain initialized system operation parameters; building a user side model based on the model, generating an initial electricity / heat load demand, calculating a user alternative energy consumption rate and dynamically adjusting an electricity / heat energy conversion ratio in combination with a price difference of real-time electricity and heat prices and user energy consumption behavior characteristics, and forming a new electricity / heat load distribution scheme; the integrated energy operator generates an electricity / heat price signal and formulates a dual excitation strategy, the user aggregator adjusts the user energy load and response strategy according to the signal and the strategy and feeds back the strategy to the integrated energy operator, and the user aggregator and the integrated energy operator adjust bidirectional feedback iteration to solve Stackelberg balance through the electricity / heat price signal and the load to obtain an optimal scheduling scheme. According to the invention, economic low-carbon operation and benefit win-win between subjects can be realized.

The invention relates to the technical field of data management, in particular to a pet soft food production data management method and system.The method comprises the following steps of analyzing heat energy and rhythm synchronization based on damp and hot section operation data, judging batch data continuity, extracting fluctuation data to recognize quality inspection deviation, and matching packaging and discharging to analyze response consistency. And abnormal batches are extracted to locate an alarm concentration area. According to the method, by monitoring the heat energy flow and the conveying period, synchronization of the heat load and the putting rhythm is achieved, data consistency and collaboration are improved, data interruption and overlapping are avoided in combination with the batch time difference, fluctuation of indexes such as PH is periodically recognized, the quality inspection gathering time period is determined, packaging and discharging response offset is analyzed, and the equipment collaboration efficiency is quantified; energy records and alarm logs are crossly screened, abnormal batches are accurately positioned, a multi-parameter time sequence coupling analysis chain is constructed, cross-section quality response and traceability are enhanced, and centralized troubleshooting and early warning of the abnormal batches are realized.

The invention relates to the technical field of liquid cooling heat dissipation, in particular to a liquid cooling distribution device, liquid cooling heat dissipation equipment and a liquid cooling control method. The liquid cooling distribution device comprises a main liquid supply collecting pipe, a flow adjusting assembly, a multi-channel liquid distribution assembly, a plurality of cooling medium conveying pipelines and a central control unit, a proportioning valve of the flow adjusting assembly is connected into the main liquid supply collecting pipe in parallel, and a liquid distributor of the multi-channel liquid distribution assembly is correspondingly connected with the proportioning valve. A parallel branch of the liquid separator is connected with the liquid outlet node through the reversing valve, and the two ends of the cooling medium conveying pipeline are connected with the liquid outlet node and target heat dissipation equipment respectively; the central control unit achieves accurate distribution and dynamic adjustment of the flow of the cooling liquid by controlling the proportion adjusting valve and the reversing valve, the problem of uneven flow distribution caused by pipeline resistance difference is solved, the flow can be adjusted according to real-time heat loads, and system energy consumption is optimized.

A cooling system includes a liquid loop, a vapor compression loop, and a heat exchanger in fluid communication with each of the liquid loop and the vapor compression cycle loop. The liquid loop includes a cold sink for cooling a heat load. The vapor compression cycle loop is fluidly coupled to the liquid loop by a separator, which is configured to separate a two-phase form of a working fluid received from the cold sink into a vapor form of the working fluid and a liquid form of the working fluid.

The invention relates to the technical field of task scheduling, in particular to a task scheduling optimization system for a smelting process, which comprises a furnace temperature identification module, a hot load analysis module, a load screening module, a sorting regulation and control module and a task joint control module. According to the method, a stable operation section is screened based on thermocouple time sequence temperature difference fluctuation characteristics, task identification is ensured to be in tight fit with a real metallurgical process state, furnace profile thermal parameters and raw material attributes are introduced to dynamically estimate task thermal loads, and the heat adaptation relation between tasks and equipment is determined; safety load interval limitation is set in the screening task and furnace body combination process, the safety and matching precision of resource allocation are improved, meanwhile, cooling period limitation is embedded in task sorting to recognize delay tasks, scheduling continuity and task connection reasonability are enhanced, the capacity of a scheduling strategy for responding to actual operation constraints is improved, and the service life of the scheduling strategy is prolonged. The overall optimization of accurate task screening, reasonable load distribution and ordered scheduling sequence is realized.

The invention provides an intelligent cooling capacity distribution method and system for a data center refrigeration system, and relates to the technical field of data center refrigeration. Through the thermal model based on data driving, airflow distribution and temperature field change are accurately simulated, thermal load prediction errors are effectively reduced, and high-precision data support is provided for cold distribution, so that the energy utilization efficiency and the refrigeration efficiency are improved, and energy efficiency improvement and reliable operation of a data center refrigeration system are achieved. And meanwhile, the interaction among heat transfer, power consumption and a control strategy is comprehensively considered, the overall efficiency loss caused by local optimization is avoided, and the comprehensive energy efficiency of the refrigerating system is improved. Besides, the cooling capacity distribution optimization model is constructed based on the power-cooling capacity characteristic curve, so that the optimal balance between the cooling power and the cooling index is realized, and the PUE is effectively reduced.

The invention provides an LED lamp adaptive speed regulation heat dissipation method and system based on real-time junction temperature monitoring. The method comprises the following steps: S100, acquiring a PWM signal or an analog signal of an LED driving command signal in real time; s200, on the basis of the change of the driving instruction signal, feedforward prediction is carried out by using a dynamic thermal inertia mapping model, and a feedforward fan control quantity is generated; s300, LED junction temperature is monitored in real time through a forward voltage method, and feedback fan control quantity is generated through a feedback controller according to the deviation between the real-time junction temperature and the target junction temperature; and S400, synthesizing the feedforward control quantity and the feedback control quantity to generate a fan PWM control signal, outputting the fan PWM control signal to a fan driving circuit, and adjusting the rotating speed of the cooling fan. According to the method, driving signals and junction temperature information are processed in parallel, and feedforward and feedback control is combined, so that self-adaptive accurate regulation and control are realized, thermal load change is quickly responded, system lag is effectively inhibited, and LED heat dissipation performance is optimized.

Thermal management systems include a vapor cycle and a liquid cycle sharing a common working fluid. The vapor cycle includes, along a vapor cycle flow path, a compressor and a condenser. The liquid cycle includes, along a liquid cycle flow path, a fluid driver, a load, a regulator valve, and a phase change material heat exchanger. A cold sink is thermally coupled to a heat load. A separator is configured to separate liquid and vapor portions of the working fluid and direct the liquid into the liquid cycle and the vapor into the vapor cycle. The separator is part of both the vapor cycle and the liquid cycle. The regulator valve controls a temperature of the working fluid within the liquid cycle at a location upstream of the phase change material heat exchanger to control a mode of operation of the phase change material heat exchanger.

The invention relates to the technical field of heat pump system control, in particular to a heat pump system control method and system based on compressor rotating speed feedback. The method comprises the steps that a refrigerant side parameter cluster, an air side parameter cluster and a heat load side parameter cluster of the heat pump system in a preset sliding window are obtained, and a first refrigerating capacity, a second refrigerating capacity and a third refrigerating capacity are determined through the different parameter clusters so as to determine fault source positioning indexes corresponding to the different parameter clusters; comparing the fault source positioning index with a preset fault threshold value, and determining a fault sensor cluster from a refrigerant side parameter cluster, an air side parameter cluster and a heat load side parameter cluster; and controlling the rotating speed of a compressor of the heat pump system according to a determination result of the fault sensor cluster. According to the technical scheme, the rotating speed of the compressor of the heat pump system can be effectively controlled.

The invention relates to a centralized heating balanced regulation and control method, device and equipment and a medium. The method comprises the steps that firstly, the heat supply area of a user and the heat use state of a neighbor are collected, the basic flow of the jet device is calculated according to an industrial standard formula, and final flow containing resistance characteristic data is obtained through secondary correction by combining a neighbor heat use state correction coefficient and an environment temperature influence factor. Extracting flow and inlet and outlet pressure difference from jet device parameters, adjusting a valve to enable the resistance proportion to reach a preset interval, calculating parameters such as unit area heat consumption by combining real-time flow and supply and return water temperature difference, generating regulation and control basic data through coupling analysis, adjusting the jet device when the regulation and control basic data reach the standard, and generating a dynamic scheme by combining a thermal load prediction model. And finally, capturing the flow pulse signal according to a fixed period to calculate a difference value, generating a valve control signal according to a threshold value, acquiring the water supply and return temperature after execution, and coupling with a dynamic scheme to generate a regulation feedback signal. By adopting the method, accurate regulation and control can be realized through multi-dimensional analysis, and the flow distribution accuracy and the heat supply balance are improved.

The invention discloses a copious cooling rectification real-time monitoring and correction system based on digital twinning, and the system comprises a data processing module which is used for collecting and preprocessing data of a sensor; the graph structure construction module is used for constructing a twin graph structure and generating a topological adjacency matrix; the feature extraction module is used for executing graph embedding operation and extracting virtual twin features; the feature decoupling module is used for carrying out dynamic decoupling on the virtual twin tensor and constructing a feature sequence; the twinning correction module is used for inputting the state mapping vector into a twinning correction network and correcting a virtual twinning tensor; the variational inference module is used for inferring an output confidence interval and generating a reliability mask; and the parameter optimization module is used for adjusting the reflux ratio, the tower top temperature and the reboiling heat load in the credible area to realize real-time monitoring and correction. According to the invention, the intelligent monitoring capability and the self-adaptive control level of the cryogenic distillation process are obviously improved, and the system robustness, the energy-saving property and the industrial applicability are higher.

The invention discloses a dynamic building thermal load simulation method and device, heat supply equipment and a medium, and relates to the technical field of load prediction.The method comprises the steps that when the environment temperature changes, the first building unit area thermal load before change is determined, and the second building unit area thermal load after change is determined; determining a first heat change of the building external envelope structure and a second heat change of the building internal envelope structure caused by the environment temperature change; according to the difference value of the unit area thermal load of the first building and the unit area thermal load of the second building, the delay time is determined in combination with the heat change of the building envelope; and based on the delay time, the outdoor temperature before the delay time and the current indoor temperature are utilized to correct the unit area thermal load of the second building. By adopting the method, the calculation complexity of dynamic building thermal load simulation can be simplified, and the calculation of the delay time is more practical and operable.