884results about "Temperature control using electric means" patented technology

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

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

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

The invention relates to the technical field of cold-chain commodity transportation, in particular to a temperature monitoring and control method in a cold-chain commodity transportation process, which comprises the following steps: acquiring real-time temperature data, and generating a thermal response digital file of a cold-chain commodity according to the real-time temperature data and a cold-chain commodity category database; real-time positions and external air temperature data of the cold chain commodities are collected, and a temperature threshold value of the next time period is predicted according to the heat capacity characteristic parameters reflected by the thermal response digital archive; a three-dimensional temperature field distribution diagram is constructed based on the temperature threshold value of the next time period and the vibration data of the compartment where the cold-chain commodities are located; generating a control instruction according to the coordinates of the temperature anomaly region in the three-dimensional temperature field distribution diagram; after the control weight coefficient is calculated according to the control instruction and the preset energy consumption optimization objective function, the temperature control operation is executed according to the control weight coefficient and the control instruction, and balance temperature monitoring and control and energy consumption optimization are effectively achieved.

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

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

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

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

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

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

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

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

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

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

The present application relates to a method, system, device and medium for self-adaptive heat dissipation control of photochromic materials. [Solution] In this application, through deep integration of material properties and control strategies, faster temperature response is achieved, and at the same time, heat dissipation adjustment is accurately performed based on phase transition signals, significantly improving the heat dissipation efficiency and intelligence level of the system.

The invention belongs to the field of temperature control, and particularly relates to a reaction kettle temperature control method and system for synthesizing isothiocyanate. The method comprises the following steps: acquiring temperature, material concentration and coolant flow in a kettle in real time, calculating a reaction rate estimated value through a nonlinear mixed model, and calculating an active factor by combining catalyst input time and an index inactivation function; performing unequal weight combination on the three parameters to generate a scheduling variable, and calculating a current value and a second-order difference value of the scheduling variable; selecting a reference state space model according to the current value of the scheduling variable, and correcting the matrix by using a second-order difference value to obtain an LPV model; constructing a quadratic programming optimization problem, wherein an objective function comprises a temperature tracking error penalty term and a control input increment penalty term for adjusting the weight; when the temperature deviation exceeds the threshold value continuously, a control input value penalty term is added; and solving an optimization problem and outputting a first element of the control sequence to a temperature control execution mechanism. According to the invention, the temperature control precision and stability of the isothiocyanate synthesis reaction kettle are improved.

The invention relates to the technical field of energy storage cabinets. The invention discloses a temperature control system of an energy storage cabinet, which comprises a controller and an energy storage cabinet body, a temperature and humidity sensor and a battery state detection module are arranged in the cabinet, and the temperature and humidity sensor and the battery state detection module are electrically connected with the controller to detect and transmit data in real time. The cooling module comprises a multi-stage heat dissipation fan and a heat dissipation channel, the heating module is composed of a heating wire and a heat conduction plate, and the ventilation module comprises a ventilation shutter and an exhaust pipeline which are both controlled by the controller. The communication module transmits data to a remote terminal, and the alarm module gives an audible and visual alarm when the temperature is abnormal. According to the invention, the hierarchical regulation and control logic of the greenhouse humidity control system and the self-adaptive control idea of the air conditioner are fused, and accurate temperature control and energy saving are realized through the dynamic adjustment of the temperature threshold through the state of the battery, the hierarchical heat dissipation of the multi-stage fan, the cooperative control of temperature and humidity and the intelligent switching of the ventilation module. Meanwhile, the system has the functions of remote monitoring, abnormity alarm and data optimization, improves the safety and operation and maintenance efficiency of the energy storage system, and prolongs the service life of equipment.

The invention discloses a self-adaptive regulation and control method for environmental stress in a thermal vacuum test process, relates to the technical field of self-adaptive regulation and control, and is used for solving the problem that the internal junction temperature risk of a single machine is increased under a high-load operation condition. Judging the operation state of a single machine example according to the instantaneous ripple voltage, judging whether a thermal lag analysis mechanism is entered or not by combining clock cycle deviation, collecting operator execution time delay and shell strain intensity of a test cabin, calculating a thermal accumulation index through the operator execution time delay, and obtaining thermal extrinsic characteristics based on the shell strain intensity; generating an invisible junction temperature identifier by integrating the heat accumulation index and the heat extrinsic characteristic, selecting a continuous operation test or executing an environmental stress regulation strategy according to the invisible junction temperature identifier, calling a current temperature change rate when the environmental stress regulation strategy is executed, setting a regulation analysis period, counting an edge trigger frequency and a logic flip density, correcting the temperature change rate, and calculating the temperature change rate. And the test safety and the data reliability are improved.

The invention discloses an environment control method, system and device for a mobile high-voltage chamber and a medium, and belongs to the technical field of high-voltage chamber environment regulation and control, and the method comprises the following steps: dividing the mobile high-voltage chamber into A analysis regions, and setting a temperature control intelligent agent in each analysis region; the method comprises the following steps: acquiring equipment state data of an analysis area through a temperature control intelligent body, and performing reconstruction analysis on the equipment state data by using an auto-encoder to obtain a state label; combining the temperature control intelligent agent with the state label, and calculating equipment state data to obtain a health state matrix; environment data of each analysis area is collected in real time, a microclimate situation map is formed in combination with the health state matrix, and an optimal partition temperature control instruction is generated; and adjusting the environment of each analysis area through the optimal partition temperature control instruction. The method has the beneficial effects that the mobile high-voltage chamber is divided into a plurality of analysis areas, and the temperature control intelligent agent is arranged in each area, so that the fundamental conversion from the traditional centralized control to the distributed cooperative control is realized.

The invention relates to a quick-freezing production line control technology, in particular to a multi-temperature-zone energy consumption dynamic balance scheduling method for a quick-freezing production line. The method comprises the following steps: acquiring real-time operation data of each temperature zone of the quick-freezing production line; establishing a digital twinborn model for each product unit based on the real-time operation data; collecting schedulable flexibility data of a refrigerating unit, a fan and a cold storage device; constructing a virtual cold energy aggregation model; determining a batch scheduling and strategy network based on a reinforcement learning strategy, performing rolling optimization on the batch scheduling and strategy network, and outputting a power regulation sequence and a batch start-stop action sequence; and issuing the power regulation sequence and the batch start-stop action sequence to the refrigerating unit, the fan and the cold storage device, performing prediction and optimization, and updating the digital twin model and the strategy network. Therefore, core temperature control and freezing margin dynamic scheduling of multiple temperature zones of the quick-freezing production line are realized, and the energy efficiency level and the demand response capability of the system are improved.

The invention discloses a star soil water-ice in-situ quantitative analysis system and method, and belongs to the technical field of planetary science and space exploration, the star soil water-ice in-situ quantitative analysis system comprises a detection platform, and a star soil collection unit and a star soil water vapor heating extraction unit are arranged outside a cabin of the detection platform; a first detection unit, a second detection unit, a control unit and a gas distribution unit are arranged in a cabin of the detection platform; the gas distribution unit is used for distributing the water vapor extracted by the star soil water vapor heating and extracting unit to the first detection unit and the second detection unit for analyzing the content and isotope composition of the water vapor of the star soil; the first detection unit and the second detection unit adopt different detection analysis technologies; and the control unit is used for controlling the detection analysis process of the analysis system. According to the system, an in-situ sampling analysis mode of'quantitative sampling of water-containing star soil, low-loss sample transfer, efficient heating extraction and high-precision instrument analysis' is adopted, so that accurate quantitative analysis of star soil water ice is realized.

The invention relates to a method (100) for temperature control of a control unit (10) of a vehicle (30) comprising several functional units (FE1, FE2, FE3, FE4), comprising the steps: - Determination (110) of a temperature (T) and / or a predicted temperature development (TE) in the control unit (10); - Evaluation (120) of the determined temperature (T) and / or the expected temperature development (TE) with respect to a given temperature criterion (23) to obtain an evaluation result (120a, 120b); - Determination (170) of a specific requirement (SB) for reducing the temperature (T) in the control unit (10) depending on the evaluation result (120a, 120b); and - Deactivation (180a) of a functional unit (FE1, FE2, FE3, FE4) and / or adjustment (180b) of an operating parameter (BP) of a functional unit (FE1, FE2, FE3, FE4) of the control device (10) depending on the determined specific requirement (SB) to reduce the temperature (T) and depending on at least one assigned property (24) of the functional unit (FE1, FE2, FE3, FE4) and / or a load behavior (LV) of the functional unit (FE1, FE2, FE3, FE4). The invention further relates to a control device (10), a vehicle (30) and a computer program (40).

The invention relates to the technical field of constant-temperature stirring equipment control, in particular to a temperature control method of a constant-temperature stirrer, which comprises the following steps of: calculating an instantaneous deviation array between real-time temperatures of multiple monitoring points in a heating container and a target temperature by acquiring the real-time temperatures; and a maximum value, a minimum value and a mean value are extracted to construct a divergence characteristic triple representing the temperature distribution state. Meanwhile, the running current waveform and the real-time rotating speed of the stirring motor are associated, and a load disturbance characteristic curve is generated. And synchronously inputting the instantaneous temperature deviation array, the divergence characteristic triple and the load disturbance characteristic curve into a temperature compensation depth prediction network, and outputting a heater duty ratio sequence and a stirring motor speed regulation instruction sequence in a plurality of control periods in the future by the network. The method can actively sense the uniformity of the internal temperature field and quantify the dynamic disturbance of the stirring load, thereby improving the temperature control uniformity and the anti-interference capability of the system.

The invention discloses an intelligent temperature control system for mass concrete, and the system comprises a state collection module which collects initial parameters of the concrete in real time, carries out the time sequence alignment and noise filtering of the state parameters of the concrete, and obtains the temperature state data of the concrete; the intelligent analysis module is used for inverting concrete thermal parameters through a physical information neural network based on the concrete temperature control data, substituting the concrete thermal parameters into a heat conduction finite element control equation to calculate space-time evolution of the whole-field temperature and stress field, and obtaining twin data of the concrete structure; and the prediction optimization module is used for executing multi-step rolling in a multi-input single-output branch mode based on the twin data of the concrete structure to predict temperature and stress evolution in a future time period, and learning dynamic association among the temperature, the stress and the cooling flow to execute minimum energy consumption screening of a temperature control standard and stress constraint to obtain an optimal cooling control instruction.

The invention discloses a partition temperature control system and method for an LED screen, and the system not only can grasp the temperature distribution of each region in real time through the fusion of multi-source data of a sensing layer, but also can achieve the recognition and fine control of a local high-temperature region through a dynamic grid division strategy based on the change trend of a temperature field. Furthermore, in combination with a prediction model and an optimization algorithm of a decision-making layer, the system can pre-judge the temperature change trend in advance, intelligently generate differentiated control parameters and realize cooperative adjustment of the fan rotating speed, the refrigeration power and the LED driving current, so that the hot spot accumulation problem is effectively relieved, the heat dissipation energy efficiency is improved, and the energy consumption of the whole screen is reduced; the service life of the LED display screen is prolonged; and the stability of the display performance is ensured.

According to the intelligent plunger pump temperature control method and system based on model predictive control, a thermodynamic model predictive control algorithm is introduced, key parameters such as the oil temperature of a plunger pump body, the water temperature of a water tank and the environment temperature are brought into a unified calculation model, and cooperative closed-loop control over a heating plate, a semiconductor chilling plate and a circulating pump is achieved. By constructing the heat balance equation of the lumped heat capacity system and solving the rolling optimization problem in the limited time domain, the heat load change of the plunger pump can be accurately predicted and adjusted in advance, the oil temperature is always stabilized in the preset target interval, and the temperature control precision is remarkably improved; meanwhile, mutual exclusion constraints of heating and refrigerating power are set, and weights are dynamically adjusted and optimized according to working conditions, so that meaningless consumption of energy is effectively avoided, and the operation cost of equipment is reduced; in addition, according to the control method, preheating, cooling and energy-saving modes can be automatically recognized, so that the plunger pump is rapidly started in the severe cold environment and stably operates in the high-temperature environment.

The invention provides a temperature control method, system and device for an electric energy metering box and a medium, and the method comprises the steps: calculating a heat dissipation capability index representing an external heat dissipation condition and a load change index representing a heating trend of an element through obtaining element-level, region-level and environment-level temperature data of a box body; when the load change exceeds a trend threshold value and the heat dissipation capability is lower than an exchange threshold value, it is judged that a heat accumulation early warning state is entered; when the element temperature does not reach the alarm value, an active heat dissipation strategy is started in advance, and the heat dissipation assembly is controlled to enter a first preset operation state; during the execution period, continuously monitoring the index change, and adjusting the operation parameters until the load index is lower than a recovery threshold value; in addition, the operation data containing the early warning state and the metering data are stored in an associated mode and uploaded to a remote platform. By implementing the technical scheme provided by the invention, the problem that passive heat dissipation cannot deal with dynamic thermal load can be effectively solved, element performance degradation and metering precision drift are prevented, the service life of equipment is prolonged, and the intelligent operation and maintenance efficiency is improved.

The invention provides a dynamic adjustment method and system for traditional Chinese medicine cooking temperature. The method comprises the following steps: collecting the temperature of each subarea of a medicine decocting pot and a steam inlet pressure parameter in real time, generating a temperature distribution deviation parameter through area weighting processing, and dynamically coupling the temperature distribution deviation parameter with steam pressure to form a composite parameter reflecting the heat exchange efficiency; a multi-loop control strategy is adopted, the opening degree of a steam valve set of the corresponding partition is dynamically adjusted based on the composite parameters, and the valve priority is set according to the space position of the partition; a pressure fluctuation compensation mechanism is innovatively introduced, physical boundary constraint processing is carried out on opening parameters through an iterative algorithm, and finally the temperature distribution imbalance degree of each partition is converged to a preset threshold value; and a closed-loop adjusting system is formed through a valve cooperative control and dynamic compensation algorithm. According to the technical scheme provided by the invention, rapid and balanced control of partition temperatures of the medicine decocting pot is realized, and the thermal consistency and the medicinal component extraction stability in the traditional Chinese medicine cooking process are effectively improved.

The invention relates to the technical field of livestock and poultry product safety detection, in particular to a temperature-controllable crushing device for livestock and poultry product detection, which is characterized in that sound wave signals generated in a homogenizing process are acquired through a sound sensor arranged outside a detection cup, and spectrum drift and energy attenuation characteristics of the sound wave signals are analyzed by adopting a sound spectrum temperature inversion algorithm; inverting the temperature and distribution of the sample in real time; and meanwhile, a cooling air curtain is formed through nitrogen injection, the gas flow rate and the injection angle are intelligently adjusted through a control unit according to a temperature inversion result, directional focusing cooling of a local overheating area is achieved, and a closed-loop temperature control system driven by acoustic signals is formed. According to the device and the method, cross contamination and sensor adsorption effect caused by contact type temperature measurement are thoroughly avoided, the problems that the sensor is easy to pollute and difficult to maintain in a high-humidity and fat-rich environment are solved, heat-sensitive veterinary drug decomposition caused by friction temperature rise in the homogenizing process is effectively inhibited, and the accuracy, reliability and repeatability of veterinary drug residue detection are remarkably improved.

The invention belongs to the technical field of blood detection control, and particularly discloses and provides a full-automatic chemiluminescence analyzer control system for blood sample detection, which is characterized in that regional temperature difference calculation and thermal inertia trend analysis are carried out, and fusion analysis is carried out on a reaction temperature deviation degree and a space coordinate boundary of a thermal inertia imbalance region, so that the thermal inertia imbalance can be accurately detected. And outputting a power adjustment instruction set for different independent heating areas of the reaction disc, carrying out risk assessment based on a preset temperature stability judgment rule, triggering a compensation control strategy when a risk exists, and finally generating a stable temperature field control signal based on the compensation control strategy and the power adjustment instruction set and carrying out corresponding control. The temperature uniformity and stability of the reaction disc are effectively improved, and the precision and repeatability of a chemiluminescence detection result are remarkably improved. And meanwhile, the stability of the temperature adjusting process is also ensured, and the environmental stability required by long-time chemical reaction is maintained.