118 results about "Heat responses" patented technology

The invention relates to the technical field of food processing, in particular to a cooking and processing system for fermented glutinous rice cake chilies based on temperature feedback. In the hot pepper cooking treatment process, the temperature distribution of the temperature control points with different heights in the cavity is obtained and the layered gradient difference value sequence is constructed, so that the space difference of the temperature change in the cavity can be effectively identified, and further the advance or lag state of the heat response is periodically judged; on the basis, time sequence structure data are constructed according to the top and bottom temperature and pressure change sequences, and the upper and lower layer pressure response relevance is identified in a trend matching mode, so that the hot-pressing state prediction is closer to the real change process, and the accuracy of hot-pressing state prediction is improved. Finally, the opening and closing frequency and direction of a hot air circulation channel are rhythmically scheduled based on a prediction result, balance and smoothness of internal hot air circulation are ensured, and the thermal control precision and the hot-pressure adjusting capacity in the cooking process are enhanced in the whole process.

The invention discloses a secondary network heat supply temperature control method and device based on a negative pressure water mixing technology, and relates to the technical field of secondary network heat supply control. The secondary network heat supply temperature control method and device based on the negative pressure water mixing technology comprises the steps that S1, operation data, structure steady state data and thermal environment data in a current heat supply task are collected, and a standardized heat supply working condition data set is constructed after preprocessing; s2, local hydraulic fluctuation characteristics are evaluated, and the water mixing proportion, the water supplementing flow and bypass path configuration are dynamically adjusted; s3, jointly analyzing the temperature difference of supply water and return water, the heat deviation and the valve state, and driving water mixing adjustment and path optimization; s4, evaluating adjustment intensity and heat response deviation, and realizing abnormal disturbance response and adjustment strategy correction; and S5, recording negative pressure, uneven heat and cold and response data for subsequent diagnosis and steady state identification. The problems that a traditional water mixing control means is difficult to effectively inhibit pressure fluctuation of the water return end, local negative pressure is easily formed, and local energy waste and uneven heat distribution are caused are solved.

The invention discloses a rock-soil temperature field rapid solving method suitable for a ground source heat pump system, and the method comprises the steps: firstly building a three-dimensional unsteady-state heat transfer model in consideration of a buried pipe coaxial structure, a porous arrangement form and the characteristics of a multilayer heterogeneous soil body in the ground source heat pump system; then simulating a thermal response process by using the model, constructing a multi-domain coupled thermal conduction augmentation matrix, performing POD on the matrix, extracting a dominant mode function of a temperature field, and constructing a low-dimensional POD-based mode space; and finally, constructing a POD-Galerkin low-order model, simulating a buried pipe group soil temperature field, performing inversion of a heat source function, and outputting stratum thermophysical parameters. According to the method, the calculation efficiency and the simulation precision of the porous coupling and long-period unsteady state heat transfer process are remarkably improved, the problem that traditional finite element and finite difference methods are high in time consumption in porous strong coupling modeling is solved, and rapid prediction of the soil temperature and robust recognition of the heat source function under a complex stratum and a heat exchange structure can be achieved.

The invention relates to the technical field of automatic control, in particular to an electric food warmer control system which comprises a temperature data monitoring module, a thermal response prediction and adjustment module, a warmer bottom power balance regulation and control module, a food material heating opportunity optimization module and a heating strategy execution module. According to the method, the heat conduction characteristic of the pot body material and the specific heat capacity parameter of the food material are combined, the temperature change trend is accurately calculated, accurate temperature control is achieved, the pot bottom temperature gradient is analyzed, heat distribution is balanced, local overheating or insufficient heating is reduced, the temperature error interval is predicted through historical thermal response data, the heating strategy is dynamically adjusted, and the temperature control precision is improved; power distribution is optimized according to the temperature difference of the partition at the bottom of the pot, heat energy utilization efficiency is improved, heat absorption characteristics of food materials are matched, heating opportunity is optimized, uniform heating is ensured, cooking quality is improved, starting and stopping states of heating elements are dynamically adjusted, power output is optimized, system stability is improved, energy waste is reduced, and the service life of the heating elements is prolonged.

The invention relates to an energy efficiency optimization method for a dynamic load of a central air conditioner, which comprises the following steps of: establishing a response relationship among a cold and heat source, a transmission and distribution system and end equipment, identifying a nonlinear decoupling characteristic of a cold and heat response behavior by monitoring operation deflection of each level of equipment under a low-load working condition, and defining and updating a cooling capacity response deviation threshold in real time; on the basis of the cooling capacity response deviation threshold, delay compression control is conducted on response actions of the refrigerant side and the air medium side, and by adjusting the air side response time sequence in advance, dynamic thermodynamic equilibrium is formed between refrigerant transfer delay and air medium response in advance; by establishing the response relationship among the cold and heat source, the transmission and distribution system and the end equipment and introducing a cold capacity response deviation threshold dynamic updating mechanism, nonlinear coupling mismatch in a cold and heat transmission chain can be accurately identified, so that the system is more flexible to operate under low-load and variable-load conditions, frequent start and stop or redundant operation of the cold and heat source is avoided, and the system reliability is improved. And therefore, the overall COP value of the system is remarkably increased, and unit cooling capacity consumption is reduced.

The invention relates to the technical field of numerical control, in particular to an engraving and milling machine machining track control method based on machine vision. Comprising the steps of receiving an operation task instruction, collecting a reflected light intensity matrix and processing thermal field data, and generating a source data packet; obtaining a fusion heat distribution matrix through the homography matrix; based on the friction thermal response coefficient, a physical tool nose contact area is judged, a dynamic feature mask is generated, the dynamic feature mask and the reflected light intensity matrix are operated, and a monitoring area is output; executing end coordinates are output through least square ellipse fitting, and sensor calibration parameters are inversely transformed into tool nose feedback coordinates; and reading interpolation instruction coordinates, calculating a differential vector, and driving a feed shaft motor to execute displacement compensation. According to the method, deep space-time coupling is performed on the physical cut-off characteristic of the infrared spectrum, the high-frequency texture characteristic of the visible light and the kinematics constraint of a numerical control system, so that a real tool nose hot spot and an optical virtual image are distinguished, and the uniqueness and authenticity of track identification are ensured.

The invention discloses an industrial equipment linkage control system based on dynamic time sequence reconstruction, relates to the technical field of kiln linkage control, solves the technical problems that a multi-system collaborative dynamic time sequence reconstruction capability is lacked and chain reaction caused by disturbance coupling is difficult to solve, and provides an industrial equipment linkage control system based on dynamic time sequence reconstruction by distinguishing humidity abnormal levels and customizing a heating strategy. The method ensures that heat release is completely matched with a wet material transmission rhythm, improves product drying uniformity, accurately calculates retention time and rotation speed according to a kiln type, realizes a'moisture evaporation demand-rotation speed-retention time 'closed loop, reduces energy consumption, integrates real-time material parameters, waste heat recovery and environment heat dissipation, accurately calculates a heat gap, and performs graded response, so that the energy consumption is reduced, and the energy consumption is reduced. And finally, a cooling air volume-pressure correlation model and an induced draft fan compensation-pressure repair model are established, accurate pressure compensation during cooling strengthening is achieved, and the stability of the microenvironment in the kiln is improved.

The invention discloses a temperature control system and method of a micro-fluidic chip, and relates to the technical field of micro-fluidic temperature control, and the method comprises the following steps: in the manufacturing process of the micro-fluidic chip, embedding topological insulator nanowires into a substrate in a directional arrangement mode to form a pre-locking array, and meanwhile, generating an anisotropic heat conduction network under the continuous action of a sound-magnetic field, a topological vortex invariant is calculated, and a heat conduction weight coefficient is generated; arranging a fluorescent layer on the surface of a micro-reaction cavity of the anisotropic heat conduction network, collecting a fluorescence lifetime attenuation curve in real time, and calculating a transient temperature value and a temperature change rate according to a heat conduction constraint variation model and a heat conduction weight system; nonlinear feed-forward compensation power is calculated according to the transient temperature value and the temperature change rate, feedback compensation power is calculated in combination with a deviation field of the target temperature and the real-time temperature, and a compensation power instruction is generated; according to the method, the thermal pilot frequency domain filtering function is constructed through the compensation power instruction, so that the uniformity and response speed of thermal response are improved.

The invention relates to the technical field of geothermal energy utilization and underground heat exchange, in particular to a medium-deep layer buried pipe heat exchanger seepage thermal response rapid prediction method based on artificial intelligence, and the method comprises the steps: obtaining temperature field snapshot data of a medium-deep layer buried pipe heat exchanger system under different operation conditions; performing orthogonal decomposition on the temperature field snapshot data to obtain main modal characteristics and corresponding amplitudes; the parameters of all the operation conditions serve as input variables, all the main modal features and the corresponding amplitudes serve as output variables, a BP neural network is trained, and an artificial intelligence agent model is constructed; and obtaining parameters of a target operation condition, inputting the parameters into the artificial intelligence agent model, outputting the amplitude of each main mode under the target operation condition, reconstructing a temperature field, and completing rapid prediction of the seepage thermal response of the medium-deep layer buried pipe heat exchanger under the target operation condition. According to the method, the temperature field distribution of the DBHE system under the action of underground water seepage can be quickly predicted.

The invention relates to a combined cooling and heating collaborative optimization method for a central air conditioner, which comprises the following steps of: when cold and heat load fluctuation is detected, according to the response speed difference of a cooling and heating system, asymmetrically controlling the time sequence and pre-starting or hot standby of equipment, so that the time sequence of a cold and heat source is coordinated; potential physical interference nodes or cross paths are identified in the operation process of the cooling and heating system, a hydraulic or energy transmission path is temporarily passivated, and the reverse coupling influence between the cooling and heating system is reduced in combination with hot side delayed water feeding and cold side path adjustment; according to the method, the asymmetric control time sequence and the cold and hot response priority queue are introduced, the control windows can be dynamically distributed according to the cold and hot source response speed difference, the system control conflict problem caused by simultaneous adjustment of the cold and hot sources is avoided, the cold and hot system rush adjustment phenomenon is effectively relieved, and response adjustment is more orderly. By means of the pre-starting device and the hot standby mechanism, the device can be awakened in advance or maintained in the heat balance pre-starting state before load fluctuation.

The invention provides a thermal distortion control method and system for ship sheet welding, and relates to the technical field of welding control, and the method comprises the steps: carrying out the digital twin modeling of the welding process of welding equipment, and executing the thermal input distribution simulation of a welding parameter set; thermal sensitive fitting of thermal input is carried out on the basic data of the thin plate; performing thermal sensitivity analysis according to the thermal distortion historical data; establishing a target function according to mapping of the first area thermal sensitivity, the second area thermal sensitivity, the welding parameter set and the thermal input distribution simulation; and after the parameter set is initialized, region adaptation evaluation of the parameter set is carried out by using a target function, iterative optimization of the parameter set is executed, and welding management is carried out according to an optimization result. Through the method, the technical problem that in the prior art, a welding control strategy is difficult to adapt to the local thermal response difference of the structure can be solved, the technical target of accurate recognition of the thermal sensitive area is achieved, and the technical effect of improving the welding efficiency is achieved.

The invention discloses a self-recognition fault diagnosis method of a thermal resistor and the thermal resistor, and relates to the technical field of thermal resistors. The invention relates to a self-diagnosis thermal resistor with a double-RTD redundant structure, a built-in film heater and a phase change reference module and a fault detection method of the self-diagnosis thermal resistor. Through constant current excitation and step self-heating response, whether drift, slow response, thermal inertia change, open circuit or short circuit faults occur to the sensor can be identified on line. And when the temperature rises to the reference phase change point, self-calibration is automatically triggered, and the zero point deviation is corrected. Redundancy automatic switching is supported, fault codes are output, and shutdown is avoided. The system is suitable for high-reliability temperature measurement occasions, and has the advantages of high stability, self-diagnosis capability and maintenance convenience.

The invention discloses a cutting machine motor intelligent temperature management method and system based on load prediction, relates to the technical field of cutting machine motor temperature management, and is used for solving the problems of temperature response lag and local overheating under the conditions of complex tracks and load fluctuation. In the operation process of the cutting machine, three-phase stator side current signals of the motor are continuously captured, a current vector input quantity is obtained through coordinate transformation and input into the sliding mode observer to estimate the rotor position and the motor rotating speed, a load trend quantity is generated, combined compensation modulation is carried out, and a compensation value is output to a power output link to dynamically adjust the duty ratio. According to path analysis, marking a hot stacking sensitive path section, calculating a power output change rate and shielding wind flow disturbance intensity, screening out a thermal response to-be-detected section, collecting data through a thermosensitive channel to construct a regional thermal risk index, executing differential air cooling adjustment and power modulation path adjustment, and recording state data in real time; and fine management of the full-working-condition temperature of the motor of the cutting machine is realized.

The invention discloses an intelligent control method and system for a linear heater, and relates to the technical field of heaters. According to the method, the linear heater is divided into a plurality of equidistant control sections in the length direction of a bathroom floor heating floor; each control section is provided with a collector integrated with a temperature collection module, a bathtub thermal inertia detection module and a heating response rate recording module, and thermal load data such as the real-time temperature T, the heating rate delta T in unit time and the humidity Wc of the control section can be synchronously obtained. In combination with bathroom floor dry density Ps and specific heat capacity Cs parameters, a derivation method of a bathroom floor thermal inertia coefficient K is constructed based on a thermal inertia theory, and thermal response hysteresis characteristics of different bathroom floor areas can be quantitatively represented. Meanwhile, the central control server carries out data cleaning, exception elimination and interpolation complementation processing and normalization and unit standardization processing based on a set time window, a standardized data set is constructed, and an accurate and universal data basis is provided for subsequent thermal load grade evaluation.

The present application relates to the technical field of energy management, in particular to a heat energy management method and system based on a micro-grid, comprising the following steps: obtaining temperature and power data and establishing a path correspondence relationship, extracting heat response and load change parameters to generate a priority list, embedding a topological structure diagram to adjust the path activation sequence, identifying phase changes to form a conflict node group, and writing a control table to generate a path allocation structure.In the present application, by constructing a temperature and power path mapping, extracting node response characteristics to generate a priority sequence, updating the path state in combination with the topological structure, identifying interference nodes based on phase change comparison and setting a control order, the heat energy distribution is kept under control, the ability to identify the dynamic behavior of the path is enhanced, the coordination level between nodes and resource utilization efficiency are improved, in the environment where load fluctuation is frequent, the heat energy scheduling process tends to be smooth, the fluctuation influence caused by path conflict and control lag is reduced, and the support foundation for stable operation is strengthened.

The application discloses a kind of fresh stewed bird's nest cold chain transport process temperature field monitoring method and system, belong to cold chain monitoring technical field.Through heat inertia pulse test, heat capacity and thermal resistance are obtained, which are respectively taken as node attribute and edge attribute;Optimize sensor distribution based on the principle of random walk entropy minimization;Construct a dynamically updated directed weighted heat propagation path graph;Using sparse deconvolution combined with system impulse response function matrix, separate event excitation and identify abnormal events;Linearize the heat balance inverse problem in the rolling time domain, reconstruct the product temperature sequence and heat flow vector, calculate the equivalent heat damage dose, and generate the solidified causal directed acyclic graph evidence chain.The above scheme integrates heat inertia into the graph model, realizes event and heat response separation, risk quantification and full-process traceability, effectively improves the accuracy and reliability of cold chain temperature monitoring.

The application discloses a kind of composite cemented filling material design method, and the application relates to the technical field of mine filling, comprising the following steps: determining optimization component and its optimization domain, and randomly generating multiple groups of design combinations, preparing filling material and filling to be filled sample to form composite filling body test piece;Sample test body is cured under simulated environment, with the degree of hydration heat reaction as index, dynamically adjust sampling interval and determine multiple sampling time;Coupling monitoring test is carried out using the detection method of pulse velocity and low-frequency dielectric spectrum combination, interface coupling degree parameter is extracted, and cementation coupling degree is calculated, and the termination time is determined based on its change rate;The structural strength at this time is obtained, and the preset strength is used as constraint, the cementation coupling degree maximization and the experimental time minimization are used as optimization goal, the double objective optimization function is set, and the optimal design combination is determined by optimization algorithm, which can significantly reduce engineering risk and prolong the service life of structure.

The utility model discloses a controllable atmosphere Joule thermal reaction device which comprises a support and U-shaped clamps arranged on the two sides of the top face of the support, an adjusting mechanism is arranged on the surfaces of the U-shaped clamps, the distance between the two U-shaped clamps is adjusted through the adjusting mechanism, a clamping mechanism is arranged on the surfaces of the U-shaped clamps, and the clamping mechanism is arranged on the top face of the support. And the conductive resistor and the reaction material are clamped and fixed through the clamping mechanism. The utility model relates to the technical field of functional material preparation. According to the controllable atmosphere Joule thermal reaction device, the gas inlet pipe is introduced to the bottom of the conductive resistor for generating Joule heat, and the sealing box is additionally arranged outside the Joule thermal reactor, so that the aim of controlling the reaction atmosphere is achieved, the atmosphere can directly act on the conductive resistor and a material to be prepared, and the controllable atmosphere Joule thermal reaction device has the advantage of high atmosphere controllability.

The embodiment of the application provides a smoke shielding false alarm intelligent identification system and method, which is applied to the technical field of intelligent fire detection. The method synchronously collects imaging pictures, radiation heat response data and wind field state parameters of a suspected shielding area. Firstly, shielding abnormal areas in the pictures are identified and marked. Then, the motion characteristics of the areas with the change of the wind field and the dynamic process of the change of the heat inertia of the areas are analyzed. The core is to judge whether there is a time sequence lag relationship conforming to the physical law of smoke diffusion between the two, so as to identify whether the shielding object is burning smoke. If the physical mechanism is not met, the alarm is inhibited, so that the real fire smoke and non-fire interference objects such as dust and steam can be effectively distinguished, and the fire false alarm rate in a complex ventilation environment is significantly reduced.

The invention relates to the technical field of numerical control machine tool precision detection, and discloses a numerical control rotary table precision detection method, which comprises the following steps: S1, deploying temperature sensors at thermal response sensitive points of a shaft seat, a transmission pair shell and a driving motor of a numerical control rotary table, and establishing a displacement sensing link between the end part of a main shaft and a rotary table reference part; and S2, controlling and deploying the numerical control rotary table to execute symmetrical measurement tracks of forward rotation, reverse rotation and forward rotation again under the on-load working condition, and generating a distinguishable observation sequence with geometric symmetry constraint. A multi-source sensing link is constructed under the on-load working condition, and a symmetric measurement track is executed, so that in-situ capture of dynamic temperature rise and load fluctuation is realized, high unification of a detection environment and an operation environment is achieved, and real restoration of dynamic performance of a machine tool is realized; the defects that a traditional quasi-static detection result is inconsistent with a machining state, and the reinspection value is low are overcome.

The invention relates to the technical field of energy-saving refrigerators, in particular to an energy-saving refrigerator and an intelligent partition self-adaptive control method. According to the method, the heat response change is adjusted according to the response condition of the temperature in the refrigerator and the food material space proportion condition, and the endogenous heat load is analyzed; the exogenous thermal load is analyzed based on the temperature difference trend and the temperature and humidity level of the external environment in the refrigerator door opening state; dominant factors generating influences are dynamically analyzed, and weight endowing of endogenous and exogenous heat loads is adaptively adjusted, so that operation adjustment for the partitions better meets actual requirements. According to the method, internal and external common heat influence analysis is carried out on the refrigerator partition, the weight is dynamically adjusted according to the dominant influence to obtain the adjustment coefficient, dynamic balance of refrigeration output and thermal load is met, and the control efficiency of a refrigeration system of the refrigeration cabinet is improved.

A leak detection system for a server rack, the leak detection system is disclosed. The leak detection system includes a drip pan configured for placement under one or more liquid-cooled servers of the server rack. The server rack includes a piping system configured to convey cooling fluid through the one or more liquid cooled servers, wherein a surface of the drip pan is coated in a thermally-reactive coating. The leak detection system further includes one or more thermal imaging sensors in proximity to the drip pan, wherein the one or more thermal imaging sensors are configured to detect a change to a thermal output from the drip pan in response to contact of the cooling fluid on the thermally-reactive coating.

The present application relates to the technical field of precision detection of numerical control machine tools, and discloses a numerical control rotary table precision detection method, comprising the following steps: S1, temperature sensors are arranged at heat response sensitive points of an axle seat, a transmission pair shell and a driving motor of a numerical control rotary table, and a displacement sensing link is established between an end of a main shaft and a rotary table reference element; S2, a control device controls the numerical control rotary table to execute a symmetric measurement track of forward rotation, reverse rotation and forward rotation again under a load working condition, so as to generate a distinguishable observation sequence with geometric symmetry constraint. By constructing a multi-source sensing link and executing a symmetric measurement track under a load working condition, in-situ capture of dynamic temperature rise and load fluctuation is realized, high unification of a detection environment and a working environment is achieved, real restoration of dynamic performance of a machine tool is realized, and the deficiencies of inconsistency between a traditional quasi-static detection result and a machining state and low re-inspection value are solved.

The invention discloses a double-sided heat dissipation power semiconductor module with a temperature detection function and a manufacturing method. The double-sided heat dissipation power semiconductor module with the temperature detection function comprises a first heat dissipation bottom plate, a lower DBC substrate, a first semiconductor chip, a temperature detection DBC substrate, a second semiconductor chip, an upper DBC substrate and a second heat dissipation bottom plate which are sequentially stacked from bottom to top, the temperature detection DBC substrate serves as an independent middle functional layer and comprises a second ceramic layer and a temperature sensor completely embedded in a second ceramic layer body, and the temperature detection DBC substrate has the beneficial effects that through the temperature detection DBC substrate serving as the independent middle functional layer, the heat propagation path is shortened to achieve ultrafast heat response; the junction temperatures of the upper chip and the lower chip can be sensed and represented at the same time, the measurement precision is high, the problems of power module temperature monitoring in the aspects of precision, speed and reliability are solved while efficient double-sided heat dissipation is achieved, and the plane layout area of the power chip can be reduced through vertical integration.

The application provides a high-frequency electric shock weeding device energy output dynamic control method and system, relates to the intelligent control technical field, and the method comprises the following steps: according to the temperature rise rate distribution in the thermodynamic response signal, calibrating multiple high-heat response focal points in the energy action area; connecting the high-heat response focal points to construct a dynamic action range boundary, and adjusting the boundary form according to the real-time heat diffusion trend; dividing the action range boundary into several independent energy regulation zones according to the thermodynamic gradient characteristics; generating a partition energy compensation coefficient based on the heat damage degree and energy accumulation state of each regulation zone; differentially adjusting the high-frequency current output according to the partition energy compensation coefficient difference until the thermodynamic response signal meets the global inactivation condition. The application can dynamically adjust the energy output parameters.

The method can include receiving a baseline signal curve, operating a thermal reactor, measuring a signal, optionally determining a state (e.g., state of health) of the thermal reactor, and controlling the thermal reactor based on the signal. The method can include receiving (e.g., determining, measuring, etc.) a resistance-temperature and / or resistance-time curve; operating a thermal reactor comprising resistively heating a porous catalytic element; measuring an electrical signal (e.g., resistance, current, voltage, etc.) of the thermal reactor; optionally inferring a temperature of the thermal reactor based on the electrical signal and the resistance-temperature; and controlling the thermal reactor based on the electrical signal. The system can include one or more of a reaction module (e.g., an electrical coupler or electrode and catalytic element, etc.), inlet and outlet valves, power source, electrical feedthroughs (e.g., leads, supports, etc.), sensors, and computing system (e.g. controller).

The invention discloses an intelligent temperature control adjusting system based on a mobile phone shell mold, and relates to the technical field of injection molding temperature control. The method is used for solving the problems of filling defects and warping caused by uneven temperature of a mold cavity. The method comprises the following steps: acquiring the temperature and heat flux data of a melt front in real time through temperature sensors arranged at a sprue, a runner and the tail end of a cavity and heat flux sensing elements below the wall of the cavity, and generating a thermal integral cloth mapping of the surface layer of the cavity in an injection period; analyzing the heat conduction difference between the thin-wall area and the thick-wall area and the heat loss rate of the complex texture area based on thermal integral cloth mapping, identifying a target area and generating a compensation priority index; analyzing a thermal interference effect by combining a regional space layout and a cooling loop, optimizing heating power distribution and generating a power regulation and control instruction; and in combination with the thermal response characteristics of the film heating units, the pulse width is calculated, the heating unit array is driven, local heating compensation matched with the time sequence is implemented in the filling and pressure maintaining stage, and die cavity temperature balance and forming quality improvement are achieved.

The application discloses a kind of based on temperature control curve's forging heat treatment process optimization method, it is related to data processing technical field, including, based on process task data packet, temperature control performance prediction model is constructed and reverse solution is executed, generates core temperature control reference curve;To core temperature control reference curve executes heat response mapping, obtains furnace temperature control trajectory, and obtains online core tracking control scheme by heat treatment risk timing evaluation;Online core tracking control scheme is executed, process data is recorded synchronously, and combined furnace temperature control trajectory is passed through heat history inversion operation, obtains execution temperature control curve;Based on execution temperature control curve, temperature control performance prediction model is optimized, and obtains process quality evaluation result by performance deviation evaluation.The application is by constructing temperature control performance prediction model and executing reverse solution and feedback optimization, improves the calculation consistency of process parameter design and the quantifiable and iterative optimization ability of result evaluation.

The invention relates to the technical field of chemical process equipment monitoring, in particular to a cascade heat exchange reactor fault diagnosis method, system and equipment based on a distributed observer and a storage medium. Structural parameters of the cascade heat exchange reactor are obtained, unitized segmentation is carried out according to the arrangement position of a temperature sensor, and the temperature transfer relation between units and a heat exchange mass exchange model are established; fault sensitive parameters are identified based on model analysis, and a distributed observer assembly comprising a plurality of adaptive observers is constructed for each subsystem; a state estimation value and a fault parameter estimation value are obtained in real time through an observer assembly, a residual sequence is constructed for fault detection, residual signal convergence characteristics and a parameter change mode are analyzed, and local fault types and global fault types are effectively distinguished; and determining the specific position and severity of the fault according to the residual convergence criterion and the fault parameter variation amplitude, and completing fault isolation and quantitative evaluation. Accurate fault diagnosis of a complex cascade system is realized, and fault detection precision and diagnosis efficiency are improved.