51 results about "Thermal perturbation" patented technology

The invention discloses a multi-dimensional data-based temperature prediction method and system for a power integrated module, particularly relates to the technical field of temperature measurement, and is used for solving the problems of temperature field distortion and unreliable measurement result caused by thermal disturbance introduced by a sensor in temperature monitoring of an existing power integrated module. Multi-dimensional temperature data are formed by acquiring measurement data of a plurality of temperature sensors, a virtual heat flow path is reconstructed based on temperature gradient distribution, deviation degree analysis is carried out on the virtual heat flow path and an inherent structure heat flow path of a module so as to judge thermal disturbance influence, and reference isothermal surface topological structure features are acquired when disturbance occurs. A real-time isothermal surface is constructed, a thermal disturbance space position and an influence range are identified by detecting a curvature distribution sudden change area, a local thermal conductivity correction field is established to perform thermal field reconstruction on multi-dimensional temperature data to generate correction temperature field data, and finally a temperature change trend is analyzed according to the correction temperature field data to predict a future temperature state.

The invention relates to the technical field of control systems, and discloses a multi-zone cooperative control method and system for a temperature field of a carbon nanotube CVD growth furnace, and the method comprises the steps: obtaining the real-time temperatures of a plurality of temperature zones, and calculating the temperature deviation of each temperature zone; the actual temperature gradient is calculated, if the change rate of the actual temperature gradient exceeds a preset threshold value, the gradient maintaining deviation is calculated, and otherwise, the gradient maintaining deviation is zero; calculating a gain weight; calculating predictive thermal disturbance compensation amount of each temperature zone; calculating a first control item; the predictive thermal disturbance compensation amount forms a second control item; the gradient feed-forward correction value forms a third control item, and the gradient feed-forward correction value is proportional to the gradient maintenance deviation of the temperature zone; and taking the sum of the first control item, the second control item and the third control item as the power control quantity of the temperature zone. Unification and coordination of local temperature control and overall temperature are realized, a stable thermal environment is provided for growth of the carbon nanotubes, and consistency and uniformity of growth of the carbon nanotubes are improved.

The invention relates to the technical field of thermal measurement simulation, in particular to a thermal measurement simulation system based on digital twinning, which comprises a spectrum data construction module, an energy level parameter conversion module, a temperature zone reference generation module, a disturbance data correction module and a simulation embedding module. According to the method, continuous dynamic simulation of thermal field evolution of an airspace engine under different working conditions can be realized by constructing a multi-layer data structure including spectral peak intensity distribution, an energy level proportional structure and a spectral point response and thermal disturbance bidirectional mapping relation, and difference extraction and logic feedback are performed by combining spectral response behaviors and thermal disturbance data; the thermal measurement simulation process which can be corrected, embedded and iterated is effectively constructed, the real-time performance and precision of thermal field change simulation are remarkably improved, and the high-precision pre-judgment of engine thermal characteristic evolution and the response capability of a dynamic thermal control strategy under the extreme environment condition are ensured. And a complete thermal measurement simulation support is provided for the airspace engine under a complex thermal field condition.

The invention provides a PI control method and device for laser soldering based on observation compensation, a controller and a program product, and the method comprises the steps: building a laser soldering thermodynamic model containing a thermal disturbance term based on a lumped parameter method, and constructing a state-space equation; designing a state observer based on the state-space equation, and estimating a state variable of the state-space equation and external disturbance acting on the state variable in real time; calculating a feedforward control quantity according to a target temperature curve and the thermodynamic model, calculating a compensation control quantity according to a disturbance value estimated by an observer, and calculating a PI control quantity according to the deviation between the output temperature and the target temperature to obtain a total control quantity; and in each sampling period, the total control quantity is dynamically adjusted according to the deviation between the current welding spot temperature and the target temperature, so that the temperature error tends to zero. According to the method, the disturbance observation technology and the feedforward-PI control are combined, and high-precision and high-robustness control over the welding temperature is achieved.

The invention discloses a steel ball heat treatment temperature gradient intelligent regulation and control method, system and device, and relates to the technical field of temperature regulation and control. The steel ball heat treatment temperature gradient intelligent regulation and control method, system and device comprise the steps that S1, steel ball heat treatment data are obtained and preprocessed; s2, constructing a space-time derivative relationship between the thermal disturbance residual error and the surface temperature, generating a thermal disturbance coupling evaluation value, and identifying a candidate perturbation region through threshold judgment and clustering operation; s3, constructing a power disturbance joint data set, analyzing the coupling strength of disturbance trend response lag and spatial thermal non-uniformity, adjusting a heating power set value, and driving point temperature matrix updating and thermal disturbance coupling evaluation value re-calculation; and S4, generating a target number set, evaluating a thermal disturbance response offset value of a target number, constructing a path branch regulation and control structure, and correcting a thermal disturbance regulation and control driving value calculation mode. The problem that early abnormity cannot be recognized due to the fact that local thermal disturbance is covered by an overall thermal field is solved.

The invention provides an illumination radiation heat load dynamic prediction and compensation control method and system based on multispectral perception, and the method comprises the steps: collecting the illumination intensity of each indoor wave band in real time through a multispectral sensor, constructing a spectrum space coupling mapping model through combining the geometric structure, material absorptivity and incident angle information of a heat absorption surface, and carrying out the dynamic prediction and compensation of the illumination radiation heat load. Calculating an equivalent radiation heat disturbance quantity; thermodynamic parameters are fused to establish a thermodynamic prediction model, and the future room temperature change trend is predicted; identifying whether the disturbance type is a stationary type or a mutation type by analyzing the dynamic relationship between the thermal disturbance sequence and the temperature response; and a heat pump compensation control instruction is generated, and advanced adjustment is achieved. The problems that a traditional temperature control system is delayed in response to illumination thermal disturbance and inaccurate in recognition are solved, and the thermal comfort and the energy efficiency level are remarkably improved.

The invention provides an aggregation power determination method of an air conditioner cluster and electronic equipment, and can be applied to the technical field of electronic systems. The method comprises the steps that thermodynamic parameters are determined based on building maintenance structure parameters of buildings where all air conditioners in a target air conditioner cluster are deployed, and clustering analysis is conducted on air conditioner users of all the air conditioners to obtain a plurality of air conditioner user clusters; utilizing a second-order equivalent thermal parameter model to obtain the indoor air temperature and the building solid temperature of any air conditioner user cluster at the current moment according to the indoor air temperature, the building solid temperature, the environment thermal disturbance parameters and the air conditioner refrigeration power at the initial moment, and obtaining the indoor air temperature and the building solid temperature of any air conditioner user cluster at the current moment according to the indoor air temperature at the historical moment. And state transition is conducted on state sub-vectors corresponding to all the air conditioners in the global state vectors at the historical moment, the global state vector at the current moment is obtained, the number of the air conditioners in the running state is determined, and the aggregation power of the target air conditioner cluster at the current moment is determined according to the preset air conditioner running power.

The invention discloses a large complex central air conditioner control method, system and equipment and a medium, and the method comprises the steps that an atrium heat source area, a first refrigeration area and a second refrigeration area are obtained; determining a heat propagation path of the large complex based on the internal space characteristics, the heat source parameters, the first temperature data and the third temperature data, wherein the heat propagation path comprises a vertical path and a horizontal path; determining a heat source direct influence area and a heat source indirect influence area in the first refrigeration area; respectively calculating a first thermal disturbance diffusion index and a second thermal disturbance diffusion index based on the internal space characteristics, the temperature change characteristics, the heat source parameters and the environmental influence factors; and a first area temperature compensation coefficient is determined based on the first thermal disturbance diffusion index, a second area temperature compensation coefficient is determined based on the second thermal disturbance diffusion index, and an air conditioner control scheme is generated according to the first area temperature compensation coefficient and the second area temperature compensation coefficient. The operation control efficiency of the air conditioning system in the large complex can be improved.

This invention discloses a method for detecting the uniformity of heat treatment in a pump body based on infrared imaging, comprising the following steps: Step 1: Obtaining a three-dimensional structural model of the pump body and calibrating the detection points; Step 2: Applying thermal perturbation to each detection area; Step 3: Acquiring dynamic multi-channel temperature images to obtain a temperature-time series; Step 4: Constructing a non-Fourier thermoelastic inertial response model for each detection point and extracting thermal response feature parameters; Step 5: Constructing a thermal response memory map; Step 6: Inputting the thermal response memory map into an improved TimeSFormer model, which incorporates a thermal potential field tensor guidance mechanism, and combining the spatial location information of the detection points with the structural topology encoding vector to obtain a heat treatment uniformity score; Step 7: Identifying concentrated areas of heat treatment deviation and outputting a detection report. This invention combines infrared imaging with an improved TimeSFormer model to realize an intelligent detection and evaluation method for the uniformity of heat treatment in a pump body.

A method of monitoring a surface condition of a component in a thermal system includes heating the component to a steady-state, introducing a thermal disturbance to the component, determining a thermal response of at least one of the component, another system component, or the thermal system response in response to the thermal disturbance, and predicting the surface condition of the component based on a comparison between the thermal response and a reference response.

The invention relates to an intelligent temperature control system and control method for a reaction disc of a biochemical analyzer, and the system comprises a temperature sensing unit which collects the real-time temperature distribution data of multiple regions of the reaction disc, and provides a precise data source for temperature control; the environment temperature sensor is used for monitoring the change of the environment temperature in the instrument, monitoring the change of the environment temperature in real time and providing environment parameters for anti-interference compensation; the thermal disturbance detection module is used for establishing a temperature disturbance model for reagent addition, providing a disturbance predicted value and improving the anti-interference capability; the adjusting control module is used for realizing double-closed-loop control logic, calculating a basic control quantity and a compensation control quantity and generating a total control instruction; the refrigerating and heating module responds to the control instruction and adjusts the temperature of the reaction disc through refrigerating / heating action; and the main control module is responsible for data overall planning, parameter management and control instruction issuing. The device has the beneficial effects that the temperature precision of the reaction disc is improved; the response speed is greatly improved; the anti-interference capability is obviously enhanced; and the temperature uniformity is obviously improved.

The invention discloses a working method and system of a projection camera integrated with a temperature control function, and relates to the field of cameras. The method comprises the following steps: synchronously acquiring an infrared thermal field, dark current of an image sensor and a duty state of a micro-mirror array, and calculating a multi-source thermal disturbance characteristic value through an entropy algorithm and photo-thermal phase difference analysis; driving a thermal diffusion diagram neural network by the characteristic values, inverting a thermal strain field, and projecting the thermal strain field to a Zernike basis function space to generate a thermally induced aberration risk index and a thermodynamic diagram; calculating an active temperature control intervention level and a strategy parameter through an adaptive threshold value and fuzzy reasoning based on the risk index and the convection intensity estimation value; constructing a multi-objective non-convex optimization problem according to the intervention level, and solving to obtain a collaborative scheduling weight and an optimization instruction; and extracting the maximum Lyapunov index and generating a thermal stability look-ahead confidence coefficient with the risk index to predict future thermal evolution and perform adaptive regulation and control. According to the invention, the imaging precision of the projection camera under thermal disturbance is improved through multi-level cooperative temperature control.

This invention discloses a thermal field temperature equalization control method and system based on aerodynamic layout optimization, belonging to the field of thermal field temperature control technology. The method is applied to a gas delivery system in semiconductor thin film deposition processes, including: constructing an aerodynamic-thermal field coupling model to quantitatively analyze the influence of pipeline geometry on the temperature field; physically optimizing the pipeline structure based on the analysis results to reduce airflow disturbance; deploying a sensor network and implementing dual-domain collaborative dynamic control, combining a fuzzy PID algorithm to stabilize airflow, and using a model predictive control algorithm to pre-adjust heating power to compensate for thermal hysteresis; embedding microchannel heat exchangers filled with phase change materials and nanofluids in areas with the risk of instantaneous thermal disturbance to suppress temperature spikes; and performing self-optimization through a digital twin. This invention can systematically improve gas temperature uniformity, response speed, and long-term stability from source to end, meeting the stringent requirements of semiconductor processes.

The invention discloses a gravimeter temperature control system modeling control method, and relates to the technical field of precise instrument temperature control, and the method comprises the steps: 1, obtaining the real-time running speed of a carrier, the wind speed of an external environment, and the current temperature of a core part of a gravimeter; step 2, feed-forward compensation power is calculated based on the real-time driving speed and the external environment wind speed according to preset dynamic thermal disturbance model parameters; 3, based on the difference value between the current temperature and the preset target temperature, feedback control power is calculated through a preset feedback control algorithm; 4, superposing the feed-forward compensation power and the feedback control power to generate total control power, and outputting the total control power to control the heating actuator. Predictive disturbance compensation is achieved, temperature overshoot is effectively restrained, the thermal stabilization time is remarkably shortened, the operation efficiency is improved, the data quality is improved, the measurement reliability is enhanced, and the method is suitable for large-scale popularization and application. Practicality is high, compatibility is good, and upgrading and reconstruction are easy.

The application discloses a temperature prediction method and system of an electric power integrated module based on multidimensional data, and particularly relates to the technical field of temperature measurement, and is used for solving the problem of temperature field distortion and unreliable measurement results caused by thermal disturbance of sensors in temperature monitoring of the existing electric power integrated module; multidimensional temperature data is formed by obtaining measurement data of multiple temperature sensors, a virtual heat flow path is reconstructed based on temperature gradient distribution, and deviation degree analysis is performed on the virtual heat flow path and a module inherent structure heat flow path to determine the influence of thermal disturbance; when disturbed, a reference isothermal surface topological structure feature is obtained, a real-time isothermal surface is constructed, a thermal disturbance space position and an influence range are identified by detecting a curvature distribution mutation area, a local thermal conductivity correction field is established, a thermal field is reconstructed based on the multidimensional temperature data to generate corrected temperature field data, and finally, a temperature change trend is analyzed based on the corrected temperature field data to predict a future temperature state.

The invention relates to a plate viscometer self-adaptive temperature control method based on Peltier, which comprises the following steps: in a temperature adjusting process, executing state judgment on a current heat energy acting direction and a next heat energy acting direction; when it is determined that the acting direction is reversed, entering a heat flow switching control state; in the heat flow switching control state, energy buffering operation is carried out, and inertial heat formed in the heat energy conduction process in the previous direction is absorbed or released in a delayed mode; in the continuous execution period of temperature control, space limitation is applied to the propagation path of heat energy, so that the heat energy is only transmitted along a preset target area, and transverse or vertical expansion of the heat energy to a non-target area is restrained; when thermal disturbance propagation caused by a boundary area or a non-target medium is detected, the thermal coupling strength of a path is reduced, so that the disturbance is dispersed or attenuated in the space; intelligent heat energy control can be achieved in the temperature adjusting process according to the dynamic characteristics of heat flow changes.

The present application belongs to the technical field of magnet processing control, and particularly relates to a neodymium-iron-boron magnet processing control method and system. The method comprises the following steps: calculating a phase change region thermal disturbance factor according to the relative deviation of the dynamic heat flux integral of the time period composed of the start time and the end time of the magnet finished product compared with the qualified finished product, and correcting the information entropy of the temperature change amount of all time windows of the thermal history temperature curve of the magnet finished product to obtain the thermal history structure entropy of the magnet finished product, and combining the peak temperature and the total processing time to form a dynamic thermal history feature vector of the magnet finished product, which is used to train a Gaussian process regression model capable of predicting magnetic properties, and obtain the magnetic property prediction mean and the magnetic property prediction variance of the just processed magnet finished product, which is used to determine whether the just processed magnet finished product is taken as a product to be inspected and is subjected to re-inspection. The present application improves the objectivity and comprehensiveness of feature extraction and the prediction accuracy of magnetic properties.

The invention discloses a thermal field temperature equalization control method and system based on aerodynamic layout optimization, and belongs to the technical field of thermal field temperature control. The method is applied to a gas delivery system of a semiconductor thin film deposition process and comprises the following steps: constructing a pneumatic-thermal field coupling model, and quantitatively analyzing the influence of geometric characteristics of a pipeline on a temperature field; performing physical optimization on the pipeline structure based on the analysis result to reduce airflow disturbance; deploying a sensor network and executing double-domain cooperative dynamic control, stabilizing airflow in combination with a fuzzy PID algorithm, and presetting heating power by using a model predictive control algorithm to compensate thermal lag; a micro-channel heat exchanger filled with a phase change material and nanofluid is embedded in the area with the instantaneous thermal disturbance risk, so that the temperature peak is restrained; and self-optimization is carried out through the digital twinborn body. The gas temperature uniformity, the response speed and the long-term stability can be systematically improved from the source to the tail end, and the harsh requirements of the semiconductor process are met.

This invention relates to the field of tourism management technology, and more particularly to a cultural tourism scene management system and method based on a video cloud platform. The method includes: acquiring video data of cultural tourism scenes and structural feature data of ice and snow landscapes, and dividing the ice and snow landscapes into different distribution areas; analyzing the thermal disturbance characteristics of tourists corresponding to each distribution area of ​​ice and snow landscapes, and statistically analyzing the temperature recovery time window of each area; analyzing the structural thermal response non-uniformity of the ice and snow landscapes corresponding to each distribution area; analyzing the thermal disturbance coupling strength corresponding to each distribution area of ​​ice and snow landscapes; and conducting early warning of structural instability of ice and snow landscapes based on the thermal disturbance coupling strength, thermal disturbance non-uniformity, and the structural thermal response non-uniformity of the corresponding ice and snow landscapes. This invention effectively improves the timeliness and reliability of early warning of structural instability of ice and snow landscapes in cultural tourism scenes by quantifying the coupling influence between tourist thermal disturbance and the differences in the structural thermal response of ice and snow landscapes.

The application provides a building temperature control method based on digital twinning and thermal inertia dynamic identification, the building temperature control method comprising the following steps: acquiring a temperature decay curve by applying a standardized thermal disturbance, inversely calculating actual heat capacity and thermal resistance of the building, dynamically updating a thermal inertia parameter and correcting a digital twinning model of the building, and improving AI temperature control regulation precision.The application can acquire the temperature decay curve by applying the standardized thermal disturbance, accurately inversely calculate the actual thermal inertia parameter of the building, dynamically correct the digital twinning model, accurately optimize an AI heating strategy, and improve response reliability of the building heating system participating in virtual power plant peak regulation.

The invention provides a permafrost region transverse thermal disturbance sensitive route selection method and system, and the method comprises the steps: building a transverse thermal disturbance distance model based on obtained multi-source monitoring data, and defining the thermal disturbance punishment through the planning of the relation between a horizontal distance and a transverse thermal disturbance distance; and constructing a fitness vector based on the thermal disturbance penalty, the engineering information and the line length. And carrying out particle optimization by adopting a multi-target intelligent optimization algorithm to carry out Pareto optimal solution screening so as to determine an optimal candidate route. And for the optimal candidate route, calling a physical information neural network to solve a thermal-mechanical coupling equation set, then carrying out three-dimensional finite element inspection, and generating a comparison and selection report including the optimal route, the construction cost, the environmental risk and thermal disturbance evaluation under the condition that the inspection is passed. According to the scheme, transverse thermal interference between new and old lines or parallel lines can be accurately avoided at the line selection source, the permafrost degradation and differential settlement risks are reduced, the corridor resource utilization efficiency is improved, and good engineering applicability and popularization value are achieved.

This invention belongs to the field of buried pipe backfilling technology, and relates to a backfilling structure and layout method for medium-deep buried pipes with axial variable thermal conductivity. The backfilling structure consists of an upper insulation section, a middle transition section, and a lower high-efficiency heat exchange section arranged sequentially from the surface to the well bottom. The depth range of each section increases sequentially, and the average thermal conductivity of each section increases sequentially. The layout method includes: obtaining and modeling basic parameters, establishing a material library and parameterizing, constructing and solving an optimized model, interpreting the scheme, and designing segments. This invention can effectively suppress thermal short-circuiting at the wellhead, significantly enhance deep heat extraction, improve system performance, and extend the sustainability of geothermal fields. Therefore, this invention reduces thermal disturbance in shallow strata, is conducive to the thermal recovery of the rock and soil, and can slow down the performance degradation rate of the system during long-term operation.

The invention provides a net zero energy consumption building radiation heating coil pipe spacing prediction method, and relates to the field of coil pipe spacing prediction. The process comprises the steps of constructing a net zero energy consumption building radiant heating coil spacing data set, constructing each piece of net zero energy consumption building data into a multi-dimensional input sequence, generating a high-dimensional feature sequence by adopting a double-layer nonlinear transformation network, generating a building thermal disturbance feature sequence in combination with a mean value and a standard deviation of the high-dimensional feature sequence, and calculating the distance between the building radiant heating coils according to the building thermal disturbance feature sequence. Introducing a thermal response significance weight value to carry out weighted fusion and layer normalization to obtain a fusion feature, extracting a thermal potential energy value and a thermal slope, inputting the thermal potential energy value and the thermal slope into a nonlinear gating structure together with the fusion feature to obtain a main heat flux feature and a waste heat feature, and generating a fusion response weight by utilizing an element-by-element multiplication method; and performing weighted summation on the main heat flux characteristic and the waste heat characteristic to obtain a weighted thermal response characteristic, finally inputting the weighted thermal response characteristic into a nonlinear network, and outputting a predicted value of the distance between the radiant heating coils. According to the method, intelligent prediction of coil pipe spacing regulation and control parameters can be realized.

The application provides a pumping type surface water temperature correction method and device, electronic equipment and storage medium, relates to the technical field of surface water temperature correction, and comprises the following steps: acquiring sampling water temperature, meteorological element data and pumping process element data; based on the meteorological element data and the sampling water temperature, a multi-meteorological element fusion model is constructed, and a meteorological correction temperature is obtained based on the multi-meteorological element fusion model; based on the relationship between the pumping process element data and the sampling water temperature and air temperature, a process heat disturbance compensation model is constructed, and a heat disturbance compensation value is obtained based on the process heat disturbance compensation model; and the meteorological correction temperature and the heat disturbance compensation value are added to obtain a target correction temperature relative to the sampling water temperature. In this way, the influence of meteorological related factors and external conditions such as heat disturbance in the pumping process is considered, so that the temperature is corrected, and the accuracy of surface water temperature detection is improved.

This invention relates to the field of industrial big data technology, specifically to a method and system for correcting temperature measurement data based on intelligent temperature sensors, solving the technical problem of low accuracy in existing technologies. The method includes: acquiring monitoring data from multiple temperature sensors distributed within a monitoring area; performing spatial thermodynamic characteristic analysis on the multiple temperature sensors based on the monitoring data to determine the covariance adjustment coefficient for each temperature sensor; the covariance adjustment coefficient characterizes the influence of thermal disturbances at the temperature sensor's location on the process noise covariance matrix; for each temperature sensor, adjusting the corresponding process noise covariance matrix according to the temperature sensor's covariance adjustment coefficient, and performing Kalman filtering on the temperature measurement data of the temperature sensor based on the adjusted process noise covariance matrix to obtain corrected temperature measurement data.

The invention discloses an intelligent temperature control system for truck automatic spray cooling control equipment, which relates to the technical field of vehicle thermal management and comprises a thermal inductance and modeling module, a cooling decision module, a parameter injection module, a parameter compensation module and an execution scheduling module. The thermal sensing and modeling module scans a target area through a multi-point thermal sensing array to generate initial thermal field distribution data, and inputs the initial thermal field distribution data into a thermal field evolution model to calculate real-time thermodynamic instability; the cooling decision module compares the instability with a threshold value to generate a spraying strategy instruction; a parameter injection module activates a thermal disturbance response channel to inject a spraying control parameter vector; the parameter compensation module evaluates thermal inertia, calculates compensation amount and reconstructs control logic to form a post-compensation strategy; and the execution scheduling module imports the initial thermal field data to the compensation strategy to generate a final spraying execution instruction. According to the system, precise heat management and dynamic cooling scheduling are achieved, and the spraying cooling efficiency and the control precision of the truck are improved.

Infrared radiation, and specifically short-wave infrared radiation, may be used as a heat source for an active thermography process in the context semiconductor inspection. Ultrasonic acoustic waves may also be used as a heat source for an active thermography process in the context of semiconductor inspection. Short-wave infrared interference may be used to detect dynamic temperature changes at internal surfaces of a semiconductor, and specifically near a semiconductor direct-bond interface. Either of the short-wave infrared radiation as the heat source or the ultrasonic acoustic waves as the heat source may be combined with the use of short-wave infrared interference to detect dynamic temperature changes, which allows for improved detection resolution. Short-wave infrared interference may also be used to directly detect subsurface voids at the semiconductor direct-bond interface. The short-wave infrared interference may or may not require thermal perturbation.

The invention relates to the technical field of industrial process control, in particular to a coking moisture control system based on atomization spraying. According to the method, the space distribution state of heat in the coke oven can be accurately judged by collecting the temperature data of the coke oven in the specified period and constructing the heat flux change trend, the heat load abnormal area is identified based on the heat accumulation change difference, then the target section with the potential moisture regulation and control value is locked, and before the spraying action is executed, the temperature of the coke oven can be accurately controlled. The heat conduction condition and the disturbance propagation direction are comprehensively judged in combination with the heat conduction response time from the spraying point to the furnace wall direction and the space extension structure of the heat disturbance path, so that the execution sequence and continuous parameters of the spraying task are dynamically adjusted, the spraying area selection error caused by resource limitation is avoided, and the spraying instruction is generated before the spraying instruction is formed. Spraying targets are screened and rearranged through the path connectivity and temperature zone coverage relation, so that the moisture regulation behavior has the capability of responding to thermal state changes in real time.

The application discloses an energy-saving temperature control system for cold storage refrigeration and relates to the technical field of energy management, comprising a thermal disturbance data acquisition module, a disturbance feature extraction module, a false triggering identification module, an energy consumption fluctuation analysis module and an energy-saving temperature control adjustment module; the thermal disturbance data acquisition module acquires the whole-process operation data of the opening and closing rhythm of the door body, the internal temperature change, the humidity change and the energy fluctuation during the operation of the cold storage, and generates a cold storage thermal disturbance time series data set; through the acquisition of the opening and closing rhythm of the door body, the temperature and humidity change and the energy fluctuation data, the disturbance response index is established, and the dynamic optimization of the refrigeration control is realized. The system identifies the false triggering period caused by the temperature signal lag, reduces the frequent start and stop of the compressor; through the silent acquisition, the reverse sampling, the delay response and the pulse slow-release adjustment, the refrigeration action is synchronized with the door body rhythm, the temperature control is stabilized, the energy consumption is reduced and the equipment operation life is prolonged.

The invention relates to the technical field of water turbines, in particular to a large mixed-flow water turbine flow and absolute efficiency measuring method which comprises the steps that a three-dimensional flow channel physical model and transient CFD simulation are built through a flow channel energy partition measuring method based on eddy current suppression; thermodynamic equilibrium equations with eddy current compensation and velocity moment correction are established for the areas of the different partitions; a flow dynamic tracking mechanism based on thermal inertia time response is combined with load change feed-forward compensation to improve the real-time performance and accuracy of flow measurement; a self-calibration composite heat source disturbance technology is introduced, a measurement system is self-calibrated based on thermal disturbance response, parameter drift of a thermodynamic measurement model is corrected in real time, and high-precision and high-real-time flow and efficiency measurement of the mixed-flow water turbine can be achieved.